I guess some would call me a drug-slut. I have been altering my consciousness with illegal substances for more than 30 years. I love it. I try and persuade myself that I am always indulging in a learning experience, but the recreational appeal is always there, even when I learn nothing – which after 30 years practice is fairly often.
I live alone, and while I smoke grass with people in my tiny fishing village, taking anything more heavy duty is usually alone, unless it’s with my partner who lives 3000 miles away in New York. Our favourite is Ecstasy, which I can get as pure crystal. A mutual friend once said that “ LSD was the work, and Ecstasy is our reward”.
This summer my teenage goddaughter came to stay. Childfree all my life (now 50) this was to be a whole new experience for me. Her relationship with her mother had completely broken down, and mindful that her late father who died when she was five was my best friend, it was a no-brainer to invite her to stay. I hardly knew her; we had perhaps spent only a few hours alone together in her not quite eighteen years. I did know that she had had her first Ecstasy experience, and from her description it was definitely NOT the real thing.
She had a LOT of psychological problems, total lack of self-confidence, very poor self-image, several neuroses (spiders for example) – a real mixed bag of teenage uncertainties. And of course a complete distrust of deep inter-personal relationships, which had only caused pain or abandonment in her life.
A stunning looking young woman turned up at the train station. Her uncanny resemblance to her father, who was almost too pretty to be heterosexual, took a long time to ware off, especially since her lack of confidence allowed for very little eye contact.
The next morning, after an evening of small talk and pleasantries, I suggested we take ecstasy and go to the beach. She was even more enthusiastic than I was.
I chose a particularly beautiful and private bay a mile from my house. It was a gorgeous day. It changed both of us, I hope forever.
What little knowledge of E that she had, was the usual teenage night-tripin’, trance-dancin’ party stuff. She had no idea that it was the ultimate therapeutic tool.
We talked about why she felt badly about herself, we talked about her father, we discussed relationships, commitment, life, and we played in the sand and gee-whizzed at the life in the rock pools. I played my role, which I thought was therapist, not therapee, very well, I got her to say the affirmative things about herself that she so badly needed to hear. We talked and talked and talked – try this for size a couple of hours in to the trip
“If my father, knowing he was dying, could have given me one piece of advice, what would it be?”
And with that sure-shot E head on, I told her “He would have told you to have a plan – his whole life was a series of accidents, and the chaos led to his death. You need a plan”
That was typical of the stuff we threw at one another.
Most important of all we established the kind of loving relationship that could take years to develop without the openness and straight-to-the-heartness of E.
Now I am a pretty hard-bitten cynical old hippie. I run my high tech business, I get stoned, I fly to New York and I am intimate with the woman I love. Nobody else gets close.  Parents would understand. Just who was the therapist that morning is less clear.
On a subsequent E trip she completely overcame her fear of spiders – she was a real screamer. When she arrived we had to check the house together for spiders eggs (!?) I now have a photo of one running up her arm while she giggles with delight.
The summer’s just ended. She has gone home to stay with her mother.  It seems to be going well. She started college last week – I won’t bore you with what a triumph that is.
Me? I now share some of the responsibilities and pleasures of parenthood, I guess. Before she left during our third and last trip she said “People are always saying that my father was worthless, he left me nothing – but he left me you, and that’s more important than anything else he could have left”. I won’t forget that in a hurry.
Parents. Worried about your kids taking E? The only thing to worry about is missing the opportunity of taking it with them. A friend assures me that when he took it for the first time with his 19-year-old son, he hadn’t felt so close to him since he wiped him clean of afterbirth.
Kids. Taking E? Turn the music down AND TALK TO ONE ANOTHER!!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{% extends "blogpost.html" %} {% block title %}
Published on January 21th, 2021
{% endblock %} {% block image %} {% endblock %} {% block article %}The Kitchenaid stand mixer is such a versatile kitchen appliance, especially when it comes to baking. It's just perfect for making cookies, cakes, and cupcakes.
Now that I've started making bread at home, I use the stand mixer with the hook attachment for kneading dough. It makes making bread so much easier, as kneading dough for 5-10 minutes by hand is hard work.
I recently bought some attachments for making fresh pasta: Pasta Roller & Cutter Set:
Making fresh pasta at home is a good amount of work, but it's really fun to make different types of pasta besides spaghetti.
{% endblock %}


--- layout: page title: OData Version 3.0 date: 2014-02-20 07:35:10.000000000 +08:00 permalink: /documentation/odata-version-3-0/ ---
To get started learning OData V3, begin by reading OData Version 3.0 Core Protocol and progress to the other documents as required by your scenario.


--- layout: post title: Dink trouble date: '2015-07-06T20:31:00.001-06:00' author: Jacob . tags: - front-page modified_time: '2015-07-06T20:31:56.607-06:00' thumb: https://lh3.googleusercontent.com/-NMKSfhr8sQU/VZs6GjdUC8I/AAAAAAAAFoo/Hn_GQti2oy0/s72-c/blogger-image-106206414.jpg blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-4609934382558684092 blogger_orig_url: http://www.svlark.com/2015/07/dink-trouble.html --- Apparently these foldable dinghies aren't really intended to be towed 400 miles. The floor of our West Marine Hypalon AL-290 has begun to peel back at the bow:


Cross-origin subframe
User-activation-gated API to test:
Each button below sends three messages:
requests in first message.
requests in second message.
requests in third message.


The Spring Framework is an open source application framework and inversion of control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions for building web applications on top of the Java EE platform. Although the framework does not impose any specific programming model, it has become popular in the Java community as an alternative to, replacement for, or even addition to the Enterprise JavaBean (EJB) model. (Wikipedia / Spring Framework)
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
The Spring dependencies are available for download via Maven Central Repository.
pom.xml
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>spring-tutorials</groupId> <artifactId>spring-quick-tutorial</artifactId> <version>1.0</version> <name>Spring - Quick tutorial</name> <dependencies> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-context</artifactId> <version>3.1.4.RELEASE</version> </dependency> </dependencies> </project>
SpringBean.java
package spring.quick.tutorial; /** * A simple spring bean. */ public class SpringBean { private String name; public void setName(String name) { this.name = name; } public String getName() { return name; } public void printName() { System.out.println("name: " + name); } }
spring.xml
<beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.1.xsd"> <bean id="bean" class="spring.quick.tutorial.SpringBean"> <property name="name" value="Cristian Sulea" /> </bean> </beans>
SpringQuickTutorial.java
package spring.quick.tutorial; import org.springframework.context.ApplicationContext; import org.springframework.context.support.ClassPathXmlApplicationContext; public class SpringQuickTutorial { public static void main(String[] args) { ApplicationContext context = new ClassPathXmlApplicationContext("spring.xml"); SpringBean bean = (SpringBean) context.getBean("bean"); bean.printName(); } }
Output:
name: Cristian Sulea


Honda
Civic
g.1.a enabled and disabled pseudo-classes (non-normative)
The first input must have a background color of red.
Car Make (relevant = true) :
Car Model (relevant = false) :


|
Apache log4cxx
Version 0.10.0
|
This class implements an approximation of java.util.Thread. More...
Public Member Functions | |
| Thread () | |
| Create new instance. More... | |
| ~Thread () | |
| Destructor. More... | |
| void | run (Runnable start, void *data) |
| Runs the specified method on a newly created thread. More... | |
| void | join () |
| bool | isActive () |
| void | interrupt () |
| Sets interrupted status to true. More... | |
| bool | isAlive () |
| bool | isCurrentThread () const |
| void | ending () |
Static Public Member Functions | |
| static void | sleep (int millis) |
| Causes the currently executing thread to sleep for the specified number of milliseconds. More... | |
| static void | currentThreadInterrupt () |
| Sets interrupted status for current thread to true. More... | |
| static bool | interrupted () |
| Tests if the current thread has been interrupted and sets the interrupted status to false. More... | |
This class implements an approximation of java.util.Thread.
| Thread | ( | ) |
Create new instance.
| ~Thread | ( | ) |
Destructor.
|
static |
Sets interrupted status for current thread to true.
| void ending | ( | ) |
| void interrupt | ( | ) |
Sets interrupted status to true.
|
static |
Tests if the current thread has been interrupted and sets the interrupted status to false.
|
inline |
| bool isAlive | ( | ) |
| bool isCurrentThread | ( | ) | const |
| void join | ( | ) |
| void run | ( | Runnable | start, |
| void * | data | ||
| ) |
Runs the specified method on a newly created thread.
|
static |
Causes the currently executing thread to sleep for the specified number of milliseconds.
| millis | milliseconds. |
| Interrupted | Exception if the thread is interrupted. |


Please refresh devices, no devices found
Kipling supports the following LabJack devices:
Kipling does not support the following LabJack devices:


Script
First you will need this:
1- Install Arduino IDE
2- Install IRremote library (2.8)
3- Put the compressed
file in Arduino/libraries
4- Dowload the code, open
and run in the IDE
If is not working
Some computers don’t recognized the
serial port of the Arduino, in this case
Install this driver
Setup
By default, the short keys of almost video
players are the same, so for make things
more easy, just select one key and press
the button in the control that you want refer
the key.
Key
{{ Choose }}
Button
When you selected the key, press a button of the controller:
{{ Code }}
Run


Singapore is a city state nestled off the southern tip of the Malay Peninsula in Southeast Asia, and is commonly known as the “Little Red Dot” due to its small land area of 725.7km2.
Singapore is adorned with modern architectural icons such as the Marina Bay Sands and the Jewel Changi. Colonial buildings and Chinese shophouses – reminiscent of the city's rich history blend in with these modern icons to create a truly unique city skyline.
Specks of greenery add life to this small city state, with some of the best places to get in touch with nature including the Singapore Botanic Gardens, Bukit Timah Hill and the Southern Ridges, a 10 km trail connecting multiple national parks together.
Besides the beautiful scenery, Singapore also offers a unique cultural experience. In Singapore, many cultures blend with one another, creating the unique Singaporean identity where people of different races and religions live together harmoniously. This has shaped the cuisines we enjoy and the way we communicate.
FAQs
Click on a question to see the answer.
FAQs
Fax: 6769 5857
This is the ISYF (International Science Youth Forum) 2021 website. Any advice and information found on the pages are solely for the event and educational purposes only. Information related to the speakers are displayed with their consent.
© International Science Youth Forum 2021. All rights reserved.


- Our Story
- Dawg Pizza was started in 2013 with one simple goal: to get the students of the University of Washington to eat our pizza for every single meal. Well, maybe not every single meal, but most of them anyway. Cold pizza is really good for breakfast. And who can deny that pizza for lunch is really tasty? And when you've had a long day of classes and you're hungry, why not order a pizza for dinner too? And what should you do when you get hungry during that late-night study session? Order a pizza! That's where we come in.
- We make the traditional pizzas, but we also mix things up with non-traditional ingredients. Tomato sauce is great, but how about plum, peanut, soy, or teriyaki sauce? You can get pepperoni anywhere, so how about some roasted duck or venison instead? Mushrooms are nice, but what about stir-fried cabbage and fried egg? We do it all.
- Our pizzas are the best in Seattle, but don't take our word for it. Try one and you'll see!
- Our Ecological Impact
- We love the environment, and we take extra steps to reduce our ecological footprint. For example, we collect and burn only naturally fallen wood from happy trees located within 100 miles of the restaurant. All our ingredients are fair-trade, organic, and residents of Washington State. Our meats come from animals that were named, raised in the ranchers' homes as if they were their children, and educated in the finest animal universities. The wheat for our dough is crushed by hand using a mortar and pestle. Our pizza boxes are made from recycled exam Blue Books and are guaranteed to decompose within seconds of finishing your pizza. We deliver using only rodent-powered vehicles and we all bike to work. We love the environment!


All authors must complete a rights management/copyright form. Instructions on how to do this will be sent to the authors via a separate email
Camera Ready preparation
Papers should be no more than 3 pages, including references
Camera-ready papers should adhere to the ACM templates that can be found here. Templates are provided for formatting papers in MS Word and LaTeX. In LaTeX, you should use \documentclass[sigconf]{acmart} .
Note that if you used the old ACM template for the oroginal submission, the font size was set to 10pt, while the new template can use 9pt. Using the new ACM template means that you have more space, to address the comments by the reviewers. Please also double check to make sure that you are using the new template (linked in the previous bullet).
Please do NOT number the pages of your camera-ready paper (by default page numbers are disabled in the ACM template).
You should provide proper indexing information in the final version according to the ACM Computing Classification System (CCS). More information about the ACM CCS is available on the ACM CCS website.
After completing the rights management form, you will be emailed the correct rights management text and bibliographic strip to place within your paper. It is essential that you add the text into your paper.
Avoid using any special characters or non-standard fonts. We must be able to display and print your submission exactly as we receive it using only standard tools and printers, so we strongly suggest that you use only standard fonts embedded in the PDF file.
Submit the source files and PDF of your camera-ready paper.
Presentation Guidelines
The time slot for each paper is 7 minutes. The presentation is simple. The authors will have 6 minutes to present their work and 1 minute for questions.
There is no need to create a video. Simply prepare the slides and present directly during the workshop. If you have any further questions, please feel free to reach out to the workshop co-chairs.


{% extends "base.html" %} {% block title %} Error! {% endblock %} {% block body %}
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This page lets you work on an encoded text. You can analyse it's distribution, decipher it and crack the password.
Coded Text
Password
Max Length to check
Preference
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Decode
Crack Password
Analyse encoded text
Distribution Analysis Chart Window
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Code plain text


"""
author: harry-7
This file contains functions to read the data files from the given folders and
generate Mel Frequency Cepestral Coefficients features for the given audio
files as training samples.
"""
import os
import sys
from typing import Tuple
import numpy as np
import scipy.io.wavfile as wav
from speechpy.feature import mfcc
mean_signal_length = 32000 # Empirically calculated for the given data set
[docs]def get_feature_vector_from_mfcc(file_path: str, flatten: bool,
mfcc_len: int = 39) -> np.ndarray:
"""
Make feature vector from MFCC for the given wav file.
Args:
file_path (str): path to the .wav file that needs to be read.
flatten (bool) : Boolean indicating whether to flatten mfcc obtained.
mfcc_len (int): Number of cepestral co efficients to be consider.
Returns:
numpy.ndarray: feature vector of the wav file made from mfcc.
"""
fs, signal = wav.read(file_path)
s_len = len(signal)
# pad the signals to have same size if lesser than required
# else slice them
if s_len < mean_signal_length:
pad_len = mean_signal_length - s_len
pad_rem = pad_len % 2
pad_len //= 2
signal = np.pad(signal, (pad_len, pad_len + pad_rem),
'constant', constant_values=0)
else:
pad_len = s_len - mean_signal_length
pad_len //= 2
signal = signal[pad_len:pad_len + mean_signal_length]
mel_coefficients = mfcc(signal, fs, num_cepstral=mfcc_len)
if flatten:
# Flatten the data
mel_coefficients = np.ravel(mel_coefficients)
return mel_coefficients
[docs]def get_data(data_path: str, flatten: bool = True, mfcc_len: int = 39,
class_labels: Tuple = ("Neutral", "Angry", "Happy", "Sad")) -> \
Tuple[np.ndarray, np.ndarray]:
"""Extract data for training and testing.
1. Iterate through all the folders.
2. Read the audio files in each folder.
3. Extract Mel frequency cepestral coefficients for each file.
4. Generate feature vector for the audio files as required.
Args:
data_path (str): path to the data set folder
flatten (bool): Boolean specifying whether to flatten the data or not.
mfcc_len (int): Number of mfcc features to take for each frame.
class_labels (tuple): class labels that we care about.
Returns:
Tuple[numpy.ndarray, numpy.ndarray]: Two numpy arrays, one with mfcc and
other with labels.
"""
data = []
labels = []
names = []
cur_dir = os.getcwd()
sys.stderr.write('curdir: %s\n' % cur_dir)
os.chdir(data_path)
for i, directory in enumerate(class_labels):
sys.stderr.write("started reading folder %s\n" % directory)
os.chdir(directory)
for filename in os.listdir('.'):
filepath = os.getcwd() + '/' + filename
feature_vector = get_feature_vector_from_mfcc(file_path=filepath,
mfcc_len=mfcc_len,
flatten=flatten)
data.append(feature_vector)
labels.append(i)
names.append(filename)
sys.stderr.write("ended reading folder %s\n" % directory)
os.chdir('..')
os.chdir(cur_dir)
return np.array(data), np.array(labels)


class Overlay : FrameLayout
An overlay that will show when an ExpandableFab is clicked in order to partially or fully obscure the screen's content, allowing the ExpandableFab and FabOptions to become more apparent.
Developer Notes:
Implementation Notes:
Since
1.0.0
<init> |
Used to create an Overlay programmatically (do not use the other constructor Overlay(context, attributeSet) - it is for use by the Android framework when inflating an Overlay via XML). This constructor keeps all optional properties of an Overlay at their default values, though you can always change these values after instantiation by using the appropriate setter methods (with the exception of orientation, which cannot be changed after instantiation). Overlay(context: Context, orientation: Orientation? = Orientation.PORTRAIT)
Called by the system when creating an Overlay via XML (don't call this directly). To create an Overlay programmatically, use the Overlay(context, orientation) constructor. Overlay(context: Context, attributeSet: AttributeSet) |
closingAnimationDurationMs |
The duration (in milliseconds as a positive long) of the animations that will be played when this Overlay is being hidden from a visible state (when the ExpandableFab is closing). Default value is 300L. var closingAnimationDurationMs: Long |
openingAnimationDurationMs |
The duration (in milliseconds as a positive long) of the animations that will be played when this Overlay is being shown from a hidden state (when the ExpandableFab is opening). Default value is 300L. var openingAnimationDurationMs: Long |
orientation |
The Orientation this Overlay is viewable in. Default value is Orientation.PORTRAIT. var orientation: Orientation |
overlayAlpha |
The opacity of the overlay as a positive float, where 0 is completely transparent and 1 is completely opaque. Default value is 0.78431f. var overlayAlpha: Float |
overlayColor |
The color of the overlay. Default value is white. var overlayColor: Int |
setOnClickListener |
Registers a callback to be invoked when this Overlay is clicked. The default behavior the Overlay will be executed before this custom callback. fun setOnClickListener(onClickListener: OnClickListener?): Unit |


Naberezny, Mary 1 2a 3a
| Birth Name | Naberezny, Mary |
| Unknown | Kwasnieska, Maria |
| Birth Name | Dziaduch, Mary |
| Gender | female |
Narrative
Little to nothing is known about Mary (or Maria) other than the information provided on John Naberezny's baptism certificate. It appears that her father's name may have been Stephen, but a better translation of that document is needed to confirm.
Parents
| Relation to main person | Name | Birth date | Death date | Relation within this family (if not by birth) |
|---|---|---|---|---|
| Father | Kwasnieska, Stephen | |||
| Naberezny, Mary |
Families
Family of Naberezny, Andrew and Naberezny, Mary |
||||||||||||||
| Unknown | Partner | Naberezny, Andrew ( * + ... ) | ||||||||||||
| Children |
| Name | Birth Date | Death Date |
|---|---|---|
| Naberezny, Peter | ||
| Naberezny, Michael | ||
| Naberezny, John | 1887-10-04 | 1961-02-09 |


CNIT 133 HW7 Part 1 - Modify Page Layout
There are a few controls below to control the page layout.
Please click on controls to change
Background Color:
White
Red
Green
Font Family:
Arial
Time
Courier
Font Style:
Normal
Italic
Oblique
Font Weight:
Normal
Lighter
Bold
Font Size
10pt font
14pt font
18pt font


This is the MAPcore portal where you can took at different models. You can also create new dialogs and view multiple models at the same time.
Online ScaffoldMaker and Fiducial Marker Tool
Part of the Portal. This tool allows researchers to change parameters of the 3D scaffold and put fiducial markers on it. This information can then be pushed into the Physiome Model Respository.
Flatmap Viewer
Early stage prototype demonstrating the linkage between 2-dimensional flatmaps and 3-dimensional organ scaffolds.
Blackfynn Exporter
View your time series data plotted against it's own channels and export selected channels to .csv format.
Video Tracking Demo
Mapping a 3D model of the heart to video by tracking 11 fiducial points set on heart. (Data provided by Professor Jeff Ardell, UCLA)
ECG Data Mapping (in progress )
Map ECG data recorded from electrode arrays onto a fitted 3D model of the heart. (Data provided by Professor Jeff Ardell, UCLA)
Integrated ApiNATOMY and Portal App
This app demonstrates integration and interaction between ApiNATOMY and MAPcore Portal.
Dynamic Volume Render
This app displays an animating volume rendering of images of the heart. (Data provided by Professor Martyn Nash, ABI)


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Contact
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fan-art of the mounth
Fan Art by Unsettled
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Fan Art by pinkflutterbyes
Logo by me


Institute's Vision
"Techno Education for Global Competence"
About CCCT
Courses Offered
( AICTE approved 3 year full time Diploma Engineering )
Admission For 2020
Fee Structure:
CCCT Campus Profile
Facilities of Co-curricular and extra curricular Activities:
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sqlwrapper
index
/home/gabriel/textbook_server/sqlwrapper.py
Flexible Python wrapper for a local MySQL server to be served over an API.
Modules
pymysql
warnings
Classes
RESTWrapper
class
RESTWrapper
Implement a SQL wrapper with REST philosophy. One query/connection.
Methods defined here:
__init__
(self, host, username, password, database)
query
(self, action, table, **kwargs)
Run a mysql query on a table.
Sanitizes inputs with
scrub
().
**kwargs is field, value
query_passthru
(self, query)
Run the query directly using pymysql. Does NOT sanitize.
Functions
scrub
(string, exclude
=[]
)
Avoid SQL injection attacks.
Only return alphanumeric characters or
the contents of exclude that are in the original string.


This page is a collection of events at SIGGRAPH about ray & path tracing and closely-related topics, such as sampling. Please let me know of anything to fix or to add.
The short link to this page: http://bit.ly/rtrt2019
BTW, here's a link to the (hard for me to find) SIGGRAPH 2019 Full Program page.
Sunday 2pm - 5:15pm, Room 152, SIGGRAPH Course: Introduction to Real-Time Ray Tracing
Description:
We explain how to create real-time ray tracing systems using the latest GPU and CPU acceleration APIs, including DirectX 12 ray tracing. You will learn to implement a simple photorealistic renderer from scratch in C, and then how to ray trace video game scenes in real time on a GPU.
Sunday 2pm - 5:15pm, Room 403AB, SIGGRAPH Course: Path Guiding in Production
Description:
We share our practical experience with path guiding that we gained from production rendering systems at Weta Digital and the Walt Disney Animation Studios and also from our research in this area. We provide suggestions for important avenues of future research. We also cover introduction to path guiding. (extended abstract)
Sunday 4:30pm - 5:30pm, Room 309, Los Angeles Convention Center, Birds of a Feather:
Demoscene Worldwide
Description: Demoscene was born in the computer underground, and demos are the product of extreme programming and self-expression. This session reveals the best of new and old-school demoscene. (Some demoscene productions are ray traced/marched/cast, e.g., these 256 byte programs: Puls (video), Tube (video), Megapole (video).)
Monday 3:30pm - 4:30pm, Room 406B, Intel Exhibitor Session: Ray Tracing with Intel Embree and Intel OSPRay: Use Cases and Updates
Description: Speaker: Intel
Tuesday 10am - 10:30am, NVIDIA booth #1313, Booth Talk: A Fast Forward through Ray Tracing Gems, presenter: Eric Haines, NVIDIA
Description: The new book "Ray Tracing Gems" (free electronically) is a collection of 32 articles by experts in the field. The first editor will give a rapid-fire run-through of its contents.
Tuesday 10:30am - 11am, NVIDIA booth #1313, Booth Talk: Physically Accurate Real-Time Ray Tracing for Automotive Visualization, presenter: Lukas Faeth, Autodesk
Description: Autodesk VRED is the standard software for visualization in the automotive industry. To visualize, evaluate, and showcase digital car prototypes rendering needs to be highly accurate while fast and flexible enough to support design processes driven by rapid iteration. Lukas Faeth, Product Manager for Automotive Visualization at Autodesk, will talk about why those aspects are critical to their customer`s success and how the new NVIDIA Turing technology helped them to overcome a long-standing technical barrier.
Tuesday 10:45am - 12:35pm, Room 153, SIGGRAPH Technical Papers: High Performance Rendering
First paper:
Tuesday 11am - 12 noon, Room 507, Los Angeles Convention Center, Birds of a Feather:
Ray Tracing Roundtable
Description: This informal BOF is a chance to meet and talk with other developers working with ray and path tracing algorithms. (We used to have these from the late 1980's to 2001 - time to bring it back. 60 person room limit.)
Tuesday 11:30am - 12:15pm, Room 404A, Autodesk Exhibitor Session: What’s new with Arnold GPU
Description: Arnold 5.3 launched the open beta for Arnold GPU, showcasing the potential of rendering workflows combining GPU and CPU. We’ll share the progress we’ve made on Arnold GPU based on beta feedback, and share real world production examples of the impact of Arnold GPU.
Tuesday 1pm - 1:30pm, NVIDIA booth #1313, Booth Talk: An RTX-tra Substance Painter Feature, presenter: Nikie Monteleone, DreamWorks Animation TV
Description: The Surfacing Artist has always been confronted with adapting texture to their 3D content. While Painter has revolutionized 3D painting, getting all the different textures prepared and "baked" for their asset is still a necessary step before and after getting to the actual painting phase. With RTX and hardware accelerated ray tracing now integrated in Painter, times for baking are dramatically reduced, allowing to quickly iterate between modeling and painting phases, much more design iterations and leaving room for actual artistic creativity instead of waiting for long compute times. Nikie will share her first experience with RTX baking in Substance Painter on actual assets and how it impacts her creative workflow.
Tuesday 2pm - 5:15pm, Room 403AB, SIGGRAPH Course: Open Problems in Real-Time Rendering
Description:
This year’s course explores open issues in supporting real-time ray tracing in production real-time engines, delving into the open challenges in engine architecture design, material level of detail, light management, and the open research problems in bringing unified physically-based light transport to real-time applications and games.
Tuesday 2pm - 3pm, Room 409A, Chaos Group Exhibitor Session: Total Chaos @ SIGGRAPH Creating superheroes the V-Ray way (Digital Domain)
Description:
2019 marks the debut of Total Chaos @ SIGGRAPH, built off of Chaos Group’s inspirational computer graphics conference held in Sofia earlier this year. 10 talks over two days will reveal insight into this year’s biggest CGI projects from top VFX studios. You'll also learn about the latest V-Ray and Corona updates. Learn more.
Tuesday 2:30pm - 3pm, NVIDIA booth #1313, Booth Talk: Real Time Rendering and Raytracing on the Edge, presenter: Raheel Khalid, Verizon
Description: Verizon will talk about how they created a real time rendering pipeline and raytracer on the Edge Cloud using 5G, Unreal Engine and Nvidia RTX. These developments are now enabling high end RTX experiences on mobile phones and limited compute devices. The team will show the rendering pipeline, edge management system and Unreal Engine plugin that brings next generation experiences to customers.
Tuesday 3pm - 3:30pm, NVIDIA booth #1313, Booth Talk: The Future of GPU Rendering: Real-Time Raytracing, Holographic Displays and Light Field Media, presenter: Jules Urbach, Otoy
Description: Verizon will talk about how they created a real time rendering pipeline and raytracer on the Edge Cloud using 5G, Unreal Engine and Nvidia RTX. These developments are now enabling high end RTX experiences on mobile phones and limited compute devices. The team will show the rendering pipeline, edge management system and Unreal Engine plugin that brings next generation experiences to customers.
Tuesday 4pm - 4:30pm, NVIDIA booth #1313, Booth Talk: Adding GPU Acceleration to Pixar Renderman, presenter: Max Liani, Pixar
Description: We'll discuss photo-realistic rendering in modern movie production and present the path that led us to leverage GPUs and CPUs in a new scalable rendering architecture. Learn about RenderMan XPU, Pixar's next-gen physically based production path tracer, and how we solve the problem of heterogeneous compute using a shared code base. We'll also discuss our partnership with NVIDIA to create the technology to enable art and creativity in future feature animation and live-action visual effects blockbusters.
Tuesday 4pm - 5pm, Room 409A, Chaos Group Exhibitor Session: Total Chaos @ SIGGRAPH Agile workflow tips with V-Ray for Houdini (Ingenuity Studios)
Description:
2019 marks the debut of Total Chaos @ SIGGRAPH, built off of Chaos Group’s inspirational computer graphics conference held in Sofia earlier this year. 10 talks over two days will reveal insight into this year’s biggest CGI projects from top VFX studios. You'll also learn about the latest V-Ray and Corona updates. Learn more.
Tuesday 5pm - 5:30pm, NVIDIA booth #1313, Booth Talk: 3DEXPERIENCE CATIA Adopts RTX, presenter: Xavier Melkonian, Dassault Systèmes
Description: This year at Siggraph, Dassault Systèmes is presenting how 3DEXPERIENCE CATIA takes benefit of NVIDIA RTX technology for design review on NVIDIA booth with an actual Renault Dacia production car 3D model. Xavier will present the details of the fully working CATIA proof of concept using both Quadro workstation and RTX Server, allowing accurate design decision making with physically correct geometry, material and rendering accelerated by NVIDIA RTX technology.
Tuesday 6pm - 7:45pm, West Hall B, Event: Real-Time Live!
Demos include:
Wednesday 9am - 10:30am, Room 501AB, NVIDIA Presents: Latest Advances in Real-Time Ray Tracing
Description:
The NVIDIA Research and Developer Technology teams will present the latest developments and techniques for ray tracing and their application to real-time rendering for games, simulation, and VR applications.
Wednesday 10:30am - 12 noon, Room 501AB, NVIDIA Presents: Advanced Real-Time Ray Tracing Tutorial
Description:
A practical guide on how to get the best performance out of your engine and pipeline, including:
Wednesday 10:30am - 11am, NVIDIA booth #1313, Booth Talk: Bringing the Arnold Renderer to the GPU, presenter: Adrien Herubel, Autodesk
Description: Join lead engineer for Arnold GPU, Adrien Herubel, to learn all about Arnold, Autodesk's Academy Award winning production renderer for visual effects in film and feature animation. Adrien will cover how Arnold was instrumental in the shift toward physically-based light transport simulation in production rendering, explore its ability to produce artifact-free images of dynamic scenes with massive complexity efficiently, and share an exclusive peek at the latest developments to Arnold GPU, accelerated by NVIDIA OptiX.
Wednesday 11:30am - noon, NVIDIA booth #1313, Booth Talk: Prism & RTX, presenter: Victor Yudin, Technicolor/Mill Film
Description: We'll discuss Prism, a Technicolor initiative to produce a high-end Optix-based path tracer for a fast preview of element, shots or sequences. It incorporates open source technologies like Open Subdivision Surface, Open Shading Language, and Pixar USD to produce a high level of fidelity and realism. We will explain why we chose to develop a modern GPU rendering system and the advantage of using it in collaboration to RTX graphic cards.
Wednesday 4:30pm - 5pm, NVIDIA booth #1313, Booth Talk: Pure Ray Tracing in Real-Time with Project Lavina, presenter: Phil Miller, Chaos
Description: The latest advances in Project Lavina – the first renderer designed specifically for RTX hardware – will be demonstrated and its use of DXR will be explained. This cutting edge research shows how full scenes from any V-Ray enabled tool can be viewed and combined with no additional authoring in a fully ray traced, real-time environment that is free of any compromises from rasterization.
Wednesday noon - 12:30pm, NVIDIA booth #1313, Booth Talk: NVIDIA Omniverse, presenter: Boris Ustaev, NVIDIA
Description: TBD.
Wednesday 2pm - 5:15pm, Room 403AB, SIGGRAPH Course: Path Tracing in Production Part 2
Description:
Experts from the movie industry will share their insights and experiences from using path tracing in production. This is the second part of a full-day course, focusing on materials, GPU rendering, non-photorealistic techniques, and fur rendering. (extended abstract)
Wednesday 2pm - 5:15pm, Room 501AB, NVIDIA Presents: Ray Tracing Gems 1.1
Description:
The new book "Ray Tracing Gems" (free electronically) is a collection of 32 articles by experts in the field. Authors of selected articles will discuss their papers and present recent updates to their work.
Wednesday 2:30pm - 3pm, NVIDIA booth #1313, Booth Talk: Production-Quality, Final-Frame Rendering on the GPU, presenter: Rob Slater, Redshift
Description: Learn about the latest features of Redshift, an NVIDIA GPU-Accelerated renderer that is redefining the industry's perception of GPU final-frame rendering. This talk is aimed at industry professionals and software developers who want to learn more about GPU-Accelerated production-quality rendering.
Wednesday 4pm - 4:30pm, NVIDIA booth #1313, Booth Talk: Latest RTX Advances in V-Ray GPU, presenter: Phil Miller, Chaos
Description: The most fully featured GPU renderer, V-Ray GPU, will show its latest results in supporting RT Cores within RTX GPUs, as well as its upcoming support for out of-core for both textures and geometry. The latest and production features in V-Ray Next for Maya and its upcoming progress in V-Ray GPU will also be discussed.
Wednesday 4:30pm - 5pm, NVIDIA booth #1313, Booth Talk: Pure Ray Tracing in Real-Time with Project Lavina, presenter: Phil Miller, Chaos
Description: The latest advances in Project Lavina – the first renderer designed specifically for RTX hardware – will be demonstrated and its use of DXR will be explained. This cutting edge research shows how full scenes from any V-Ray enabled tool can be viewed and combined with no additional authoring in a fully ray traced, real-time environment that is free of any compromises from rasterization.
Wednesday 5:30pm - 6pm, NVIDIA booth #1313, Booth Talk: MPC Genesis: Real-Time Raytracing in Virtual Production, presenter: Francesco Giordana, MPC Film
Description: Join Francesco Giordana, MPC Film’s Realtime Software Architect on this talk about Genesis, MPC's virtual production platform. MPC Genesis has been designed as a robust multi-user distributed system that incorporates both modern technologies like mixed reality and more traditional techniques like motion capture and camera operation via encoded hardware devices. Francesco will talk about how MPC is improving the quality of the real-time graphics, with a special attention to lighting. He will explain how they started incorporating elements of real-time ray tracing into the platform, from a live link to Renderman XPU and MPC’s own OptiX-based path tracer, as well as a hybrid approach based on DXR running inside Unity.
Wednesday 5:30pm - 6pm, SIGGRAPH bookseller, Book Signing: Ray Tracing Gems
Description:
Meet some of the authors and editors of the book Ray Tracing Gems.
Thursday 9am - 12:15pm, Theatre 411, SIGGRAPH Course: My Favorite Samples
Description:
Monte Carlo and quasi-Monte Carlo methods are used in light transport simulation algorithm. The course teaches the sampling algorithms and elaborates on the characteristics of different classes of uniformly-distributed points to help select the points most efficient for a task. (extended abstract)
Thursday 10am - 10:30am, NVIDIA booth #1313, Booth Talk: Adding RTX acceleration to Iray with OptiX, presenter: Lutz Kettner, NVIDIA
Description: Used in Siemens NX, Dassault Systèmes Catia and Solidworks, along with other leading product design packages, the Iray rendering engine and MDL (Material Definition Language) deliver predictable, simulation-quality photorealistic imagery with full artistic freedom. In this talk we will present our approach to enable NVIDIA RTX technology and RT Cores within Iray. We will present architectural decisions made to leverage the latest version of OptiX and explain what affects performance in practice.
Thursday 11:30am - noon, NVIDIA booth #1313, Booth Talk: RTX, a breakthrough in VFX and animation workflow, presenter: Jean-Colas Prunier, PocketStudio
Description: PocketStudio is a next generation collaborative edition tool to create 3D animated feature film. This talk will present how this tool revealed at Siggraph 2018 and now in beta, heavily relies on NVIDIA RTX technology to bring real-time GPU ray tracing in an easy-to-use interface for professionals, detailing how existing studios in deployment leverages it in their workflow. Entirely built from the ground up for film artists, it would not serve its purpose of lightspeed professional grade rendering without hardware ray tracing made available in NVIDIA Turing boards.
Thursday noon - 12:30pm, NVIDIA booth #1313, Booth Talk: The Diminishing Need For Offline Rendering: Building Real Time Projects for Both Design and Marketing with RTX, presenter: Stephen Phillips, Theia
Description: The quality gap between real time and offline rendering is narrowing thanks to RTX technology. Modern workflows can allow both VR design review sessions and final marketing renders to come from the same source files without an extra team of artists and redundant software licenses. In this Unreal Engine project breakdown with Theia Interactive, you'll get advanced tips and tricks for planning and executing this efficient new method of delivering the highest quality work for every customer need.
Thursday 2pm - 3:30pm, Room 150/151, SIGGRAPH Technical Papers: Machine Learning for Rendering
Papers:
Thursday 3:45pm - 5:15pm, Room 153, SIGGRAPH Course: RTX Accelerated Ray Tracing With OptiX
Description:
This course is aimed at programmers interested in using OptiX to write RTX accelerated ray tracing applications. It will start with the general concepts behind the OptiX API, and then build up to more advanced topics such as how to properly use, and optimize for, the hardware ray tracing cores of modern GPUs.
Thursday 3:45pm - 5:15pm, Room 403AB, SIGGRAPH Talks: Lucy in the Sky with Diamonds - Processing Visuals
Four talks:


Languages
English: -
Japanese: Daily conversation
I grew up with my parents as a teacher so I read a lot of books for my young age. Through that, I gained much, including the ability to understand a person's feelings deeper, and knowledge that would be hard to know without a major. I really love music. Playing music and Listening also. And reading books are my favorite when I'm in communiting. I seems like I'm indoor person, but actually I love activities. Exercising regularly and often tracking.
So if I have to do something, I usually visit cafe. Coffee is my second favorite baverage.-First is water- there is everything I love. Cafe's noise like coffee machines sound and music playing in there makes me comfortable. So I read books or programming in cafe most in my free time. Programming is always makes me happy and annoy. That's the appeal of programming to me. Somethimes It really makes me annoy but I can't stop programming.
When I was freshman, I joined programming club operated by majar. So I could learn programming language C++ very systemically. I solved problems in websites and I made a simple game,spaceship is escaped by player, with Putty.
Learn cell, cell's house to make more stable environment for cell, build house of cell by 3D printer. Movement of 3D printer is made by Labview. For more suitable nozels, made own our own nozels. Using solidworks for modeling nozels and tips
Joined a program which is cooperation university and multiculture center, provide education of Aduino and 3D print modeling to multicultural children for free.
Exhibit ideas on IoT systems for the newly constructed smart city. It was an opportunity to learn the latest trends and technologies that could be used urbanly.
Learning circles helped me to learn programming systematically during the semester. I could make my own plans and study algorithms and study in the field of IoT communication.
Participate mentoring program offered by nation, making web site for checking university's notion at a glance. Also plan to add some filters for only find information that we needed.
Busan, South Korea
Busan, South Korea
Busan, South Korea


Browsing analyses
Neuroscout let's you browse analyses you've created, as well as analyses that are publicly listed by other members of the community.
To browse analyses, select My analyses
or Public analyses
under Browse
in the navigation bar. Sort by any column by clicking on it.
Editing analyses
To launch the analysis builder, simply click the name of the analysis. Note that only analyses that are still in DRAFT
mode (i.e. have not been submitted for bundle generation) are fully editable.
However, you can launch the analysis in "view-only" mode for any analysis, including public ones.
Remember that for your analyses, you can always change the name
, description
and public/private
status.
Note
Instead of "editing" a PASSED
analysis, you can use the clone feature to make an editable copy.
Deleting analyses
Similarly, only analyses that are still in DRAFT
mode can be deleted. Simply click Delete
in the right-most column.
However, remember that you can always make an analysis private
at any time.


For project 3, you can propose own data sets that relate to your research interests or just use existing data sets from say
The approach to the analysis of these new data sets should follow to a large extent what you did in projects 1 and 2. That is:
For Boosting, feel also free to write your own codes.
All in all, the report should follow the same pattern as the two previous ones, with abstract, introduction, methods, code, results, conclusions etc..
We propose also an alternative to the above. This is a project on using machine learning methods (neural networks mainly) to the solution of ordinary differential equations and partial differential equations, with a final twist on how to diagonalize a symmetric matrix with neural networks..
This is a field with a large interest recently, spanning from studies of turbulence in fluid mechanics and meteorology to the solution of quantum mechanical systems. As reading background you can use the slides from week 43 and/or the textbook by Yadav et al.
Here follows a set up on how to structure your report and analyze the data you have opted for.
The first part deals with structuring and reading the data, much along the same lines as done in projects 1 and 2. Explain how the data are produced and place them in a proper context.
You need to include at least two central algorithms, or as an alternative explore methods from decisions tree to bagging, random forests and boosting. Explain the basics of the methods you have chosen to work with. This would be your theory part.
Then describe your algorithm and its implementation and tests you have performed.
Then presents your results and findings, link with existing literature and more.
Finally, here you should present a critical assessment of the methods you have studied and link your results with the existing literature.
For this variant of project 3, we will assume that you have some background in the solution of partial differential equations using finite difference schemes. We will study the solution of the diffusion equation in one dimension using a standard explicit scheme and neural networks to solve the same equations.
For the explicit scheme, you can study for example chapter 10 of the lecture notes in Computational Physics or alternative sources. For the solution of ordinary and partial differential equations using neural networks, the lectures by Kristine Baluka Hein at this course are highly recommended.
For the machine learning part you can use your own code from project 2 or the functionality of for example Tensorflow/Keras..
The physical problem can be that of the temperature gradient in a rod of length \( L=1 \) at \( x=0 \) and \( x=1 \). We are looking at a one-dimensional problem
$$ \begin{equation*} \frac{\partial^2 u(x,t)}{\partial x^2} =\frac{\partial u(x,t)}{\partial t}, t> 0, x\in [0,L] \end{equation*} $$or
$$ \begin{equation*} u_{xx} = u_t, \end{equation*} $$with initial conditions, i.e., the conditions at \( t=0 \),
$$ \begin{equation*} u(x,0)= \sin{(\pi x)} \hspace{0.5cm} 0 < x < L, \end{equation*} $$with \( L=1 \) the length of the \( x \)-region of interest. The boundary conditions are
$$ \begin{equation*} u(0,t)= 0 \hspace{0.5cm} t \ge 0, \end{equation*} $$and
$$ \begin{equation*} u(L,t)= 0 \hspace{0.5cm} t \ge 0. \end{equation*} $$The function \( u(x,t) \) can be the temperature gradient of a rod. As time increases, the velocity approaches a linear variation with \( x \).
We will limit ourselves to the so-called explicit forward Euler algorithm with discretized versions of time given by a forward formula and a centered difference in space resulting in
$$ \begin{equation*} u_t\approx \frac{u(x,t+\Delta t)-u(x,t)}{\Delta t}=\frac{u(x_i,t_j+\Delta t)-u(x_i,t_j)}{\Delta t} \end{equation*} $$and
$$ \begin{equation*} u_{xx}\approx \frac{u(x+\Delta x,t)-2u(x,t)+u(x-\Delta x,t)}{\Delta x^2}, \end{equation*} $$or
$$ \begin{equation*} u_{xx}\approx \frac{u(x_i+\Delta x,t_j)-2u(x_i,t_j)+u(x_i-\Delta x,t_j)}{\Delta x^2}. \end{equation*} $$Write down the algorithm and the equations you need to implement. Find also the analytical solution to the problem.
Implement the explicit scheme algorithm and perform tests of the solution for \( \Delta x=1/10 \), \( \Delta x=1/100 \) using \( \Delta t \) as dictated by the stability limit of the explicit scheme. The stability criterion for the explicit scheme requires that \( \Delta t/\Delta x^2 \leq 1/2 \).
Study the solutions at two time points \( t_1 \) and \( t_2 \) where \( u(x,t_1) \) is smooth but still significantly curved and \( u(x,t_2) \) is almost linear, close to the stationary state.
Study now the lecture notes on solving ODEs and PDEs with neural network and use either your own code from project 2 or the functionality of tensorflow/keras to solve the same equation as in part b). Discuss your results and compare them with the standard explicit scheme. Include also the analytical solution and compare with that.
Follow the discussion in the work of Yi et al. in the article from Computers and Mathematics with Applications 47, 1155 (2004), and use your differential equation solver with neural networks, set up a simple square, real and symmetric \( 6\times 6 \) matrix and find the eigenvalues. Compare with the solution from numerical diagonalization with standard eigenvalue solvers from linear algebra.
Finally, present a critical assessment of the methods you have studied and discuss the potential for the solving differential equations and eigenvalue problems with machine learning methods.
Here follows a brief recipe and recommendation on how to write a report for each project.
Here follows a brief recipe and recommendation on how to write a report for each project.
The preferred format for the report is a PDF file. You can also use DOC or postscript formats or as an ipython notebook file. As programming language we prefer that you choose between C/C++, Fortran2008 or Python. The following prescription should be followed when preparing the report:
Finally, we encourage you to collaborate. Optimal working groups consist of 2-3 students. You can then hand in a common report.
If you have Python installed (we recommend Python3) and you feel pretty familiar with installing different packages, we recommend that you install the following Python packages via pip as
For Python3, replace pip with pip3.
See below for a discussion of tensorflow and scikit-learn.
For OSX users we recommend also, after having installed Xcode, to install brew. Brew allows for a seamless installation of additional software via for example
For Linux users, with its variety of distributions like for example the widely popular Ubuntu distribution you can use pip as well and simply install Python as
etc etc.
If you don't want to install various Python packages with their dependencies separately, we recommend two widely used distrubutions which set up all relevant dependencies for Python, namely
Popular software packages written in Python for ML are
These are all freely available at their respective GitHub sites. They encompass communities of developers in the thousands or more. And the number of code developers and contributors keeps increasing.


 But after
quite a few struggles of setting up CVS/SVN with SSH on various opensource servers, as well as configure
IDEA and Eclipse to use the private key, I think this is a topic that worth documenting,
so that I don’t have to repeat myself.
The detail is still to be updated, but here are some pointers:
- You need to download
puttygen.exe
to generate the key pair,pageant.exe
to enable key authentications,plink.exe
to be used by SVN or CVS. - Use forward slashes when you set up
SVN_SSH
orCVS_RSH
environment variable to point to the path ofplink.exe
for SVN and CVS, respectively. - Make sure that you put your user name as part of the CVS or SVN repository path, e.g. “
svn+ssh://wolfdancer
rubyforge.org/var/svn/selenium/trunk@” - Make sure that you have pageant running and the keys loaded. (You can launch it by passing the path to the private key file).
- In the image attached below, the “Export OpenSSH key” menu, pointed out by “A” is what you need to generate the file to pass to your IDE like IDEA or Eclipse.
- In the image attached below, The text in the public key area, pointed out by “B”, is what you need to set up on the server.
- If you have access to the shell server, it should be copied to ~/.ssh/authorized_keys (you don’t need to change the permission)
- If you are using an open source server, it probably has a web page for you to copy your public key string to: sourceforge.net,
codehaus, ThoughtWorks GForge
- Connect to the server using plink to make sure it is working as well as confirming the server signature


Substitution
Edit (pull request)Topology substitution is a very powerful TOSCA concept that allows you to consider a full or partial topology as a single reusable type. For example you can model a very complex Hadoop cluster as a single reusable node thanks to substitution, so that other people can use a fine grained and tuned Hadoop installation without even knowing of all the complexity of the underlining system.
Topology substitution / composition
A topology template can be used in another template as a type. Topology substitution can make existing topology template re-useable. In order to do this, you must:
- Create a type that is inherited from your topology template.
For example, you have a topology template of an Apache server hosted on a compute as shown in this view. If you want to use this template as a type, you need to click subsitution
panel, which is over the bottom-right corner in topology composer view.
- Choose the capabilities/requirements you want to expose.
After clicking Subsitutions
panel, you can type tosca.nodes.Container.Runtime
in search bar in the panel. It will create empty Capabilities
and Requirements
fields. Then, you can select the components whose capabilities/requirements you want to expose. By clicking the Expose
button next to capabilities/requirements element of the selected component, you can expose these capabilities/requirements, which will become the capabilities and requirements of the composed new type.
- Eventually define inputs and outputs that will become respectively properties and attributes for the created type.
The inputs of your topology template will become properties of the composed type, and what you choose as outputs will be attributes of the new type.
The created type is named like the template and is usable in another template or an application topology. It’s content will be wired at runtime stage.
Edit (pull request)


--- layout: post title: My Desk date: 2004-10-19 00:00:00 category: personal ---
No reason for posting this, I just really liked the photo :)


Toolkits > com.ibm.streamsx.watsonexplorer 1.1.0 > com.ibm.streamsx.watsonexplorer > SearchFacet
This operator uses the Watson Explorer Content Analytics /search/facet REST API to search for documents that satisfy the specified query and return only the facets. The facets that should be used for facet computation should either be specified via the facet parameter or can be streamed in at runtime by specifying an input attribute via the facetAttr parameter.
More information about the available parameters for this REST API can found in the Content Analytics REST API documentation in the Content Analytics installation directory: <ES_INSTALL_PATH>/docs/api/rest/search/facet.
Optional: additionalParams, collectionName, collectionNameAttr, facet, facetAttr, outputFormat, password, query, queryAttr, resultAttrName, username
Port that ingests tuples
Port that produces tuples
Optional: additionalParams, collectionName, collectionNameAttr, facet, facetAttr, outputFormat, password, query, queryAttr, resultAttrName, username
Allows for specifying a list of additional parameters to include with the REST API call. Each additional parameter to be written using the format: <name>=<value>.
Specifies the name of the collection that the REST API call should run against. This parameter cannot be set if the collectionNameAttr parameter is specified.
Specifies the name of the input attribute that contains the collection that the REST API call should run against. This parameter cannot be set if the collectionName parameter is specified.
Specifies the facets that should be used when perform facet computation. This parameter should not be set if the facetAttr parameter is specified.
Specifies the name of the input attribute that contains the facets that should be used for facet computation. This parameter should should not be set if the facet parameter is specified. If this parameter is not specified and the facet parameter is not specified, the operator will look for an input attribute named facet.
Specifies the name of the host to use when executing the REST API calls.
Specifies the output format that the results should be returned as. By default, most REST API calls will return the results in XML. Valid values depend on the specific REST API call being made, however application/xml and application/json are generally supported by all REST API calls.
Specifies the password to use when executing the REST API calls.
Specifies the port number to use when executing the REST API calls.
Specifies the query that should be executed. This parameter should not be set if the query parameter is specified.
Specifies the name of the input attribute that contains the query to be executed. This parameter should not be set if the query parameter is specified. If this parameter is not specified and the query parameter is not specified, the operator will look for an attribute named query.
Specifies the name of the output attribute that should be populated with the results. The output attribute type should be rstring. If this parameter is not specified, the operator will look for an output attribute named result.
Specifies the username to use when executing the REST API calls.


--- layout: post title: ! 'Paris on Rails: December 1st' categories: [] author: David published: true date: 2008-10-20 11:14:00.000000000 +01:00 ---
Paris on Rails is having it’s third annual conference on December 1st. There’s a wealth of great speakers lined up and yours truly will be doing a video iChat session as well. If you register before November 9th, the entrance fee is just 80 euros. If you can, go!


Akacia MS
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{% set section = 'config' %} {% extends "admin/layout.html" %} {% block head %} {{ super() }} {% endblock %} {% block content %}
Enrollment Profile
Short sentance describing MDM system. Will be included as Display Name of MDM enrollment profile
Optional. Description of this MDM system/installation
Prefix of generated profile identities (will be used to build profile identity names). Uses a domain-component style of naming like "com.example.mymdm".
Specific rights granted to the MDM system, approved by the profile installer, on what the MDM is allowed to manage on devices.
Reset the URLs used for MDM and checkin actions based on the current base.
{{ config.mdm_url }}
Certificate Authority (CA) that will issue and sign device identity certificates to each enrolling device.
Apple MDM Push Notification Certificate. Will be the source of the push "topic" for this MDM system which cannot change for the enrolled life of an MDM device.
Select the method of device certificate enrollment. SCEP is the preferred method as this keeps the device's private key on the device only.


| DOSE: T+ 0:00 |
1 bowl |
smoked |
Cannabis |
(plant material) |
| T+ 1:00 |
1 hit |
oral |
MDMA |
(pill / tablet) |
| T+ 2:00 |
repeated |
smoked |
Cannabis |
(plant material) |
My girlfriend always told me about the effects of ecstasy. She told me that I would love it never experience anything better than the feeling of being on ecstasy.
It started out as being a bad night. We were looking for some marijuana and ecstasy. We were supposed to have a hook up for the ecstasy but somehow both our weed hook up and our ecstasy hook up were screwed up and we never ended up getting either to begin with. We sat around my apartment when my girlfriend decided to make one last call to find weed. She got a hold of a guy that could hook us up. She went off to meet this guy and me and our 2 friends stayed at the apartment.
Well she was gone me and her friends decided that we would go up to one of the local after-hours clubs to find ecstasy when my girlfriend got back. My girlfriend made it back about an hour later and we quickly smoked a bowl to get ready to go and pick up our ecstasy.
We hoped on the bus and we were talking and we figured the chances of getting Pure MDMA like we were supposed to get was out of the question. We finally got up to the club to get and ran into someone one of our friends know. He sold us four pills and we stuck them into our pockets and hoped on the bus and headed home.
When we got home I was a little scared to take the pill so they told me to just take half. I decided that I didn't want to be the only other one peaking when I took the other half so I took the whole thing. We didn't want to sit around our apartment and we seen a park on the way home that we thought would be cool to sit in.
We left the apartment and started heading to the park about 30 minutes after we dropped. About 15 minutes had passed when we stopped on the street. We were all starting to feel it now and the 3 girls wanted to put sparkles on there face. They stopped and kneeled down and got the sparkles on there faces and we continued to the park.  By now we were starting to feel the effects pretty good. We took our shoes off and played in the sand. The sand around our feet felt so cool. My friend pulled out her pipe and that would be the first of many bowls to come. In between hoots my friend dug a hole deep in the sand. We smoked a bit more weed and then there was a girl walking through the park which I would later learn was on Mushrooms.
We told her come smoke a bowl with us so she did. We started talking with and then my friend took her over to show her hole in the sand. She looked down in it looked up and said I gotta go and left never to be seen again that night. We continued to play in the sand when a bunch of guys from across the street came over to tag the park. We started talking with them and we smoked a bunch of weed with them. By now I was feeling totally free not a care in the world. Nothing was gonna bring me down from this high no matter what you did.
My girlfriend got her hands on a marker and started drawing a dragon on a beam in the park. I walked over to see her and see if she wanted some of the weed in the pipe. She looked up at me and I looked down at her. She looked like she was having an orgasm drawing the dragon.  One more guy would show up and he and my friend went for a run leaving me and our other friend just walking around following this bowl. Later on me my girlfriend and one of our friends stood on top of the slide. We were talking about piercing and our friend showed us her nipple ring. All I could say, and I was surprised that I didn't get slapped, is you got a beautiful nipple. Everything looked a hundred times better.
Near the end of the night while we were starting to come down one of the guys went and got his guitar and played for us.  Without a word we all stood up at the exact same time and left the park and went back to my apartment. After that we just sat around and smoked weed in my cool bongs.
I have had one more experience since but I think that was the best night of my life and it started out so crummy.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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Welcome to DevDesk Queue
Welcome to DevDesk Queue an app designed to get you the help you need, when you need it. If you have question, issues, or inquiries related to programing or Lambda School post it here and we will assist.
About
This site was created during Web Part-time 3 through 5's first build week. It was designed to track and route support tickets for students needing assistance from PMs.
Team
The team who worked on this project were assembled from WebPT's 3 through 5 and consisted of 1 Back-End, 2 Front-End and 3 User Interface Developers.
MacDonald
Morales
Hall
Puentes
Hockin
O
Christian MacDonald
Github handle:
ChristianMacDonald
User Interface
Jeremy Morales
Github handle:
performance-fleece
User Interface
Mychal Hall
Github handle:
mychal-hall
Front End
Xavier Puentes
Github handle:
xpuentes
Back End
Sean Hockin
Github handle:
shockin779
User Interface
Seun O
Github handle:
Seun-O
Front End


"All the most powerful
ideas in history go back to archetypes. This is particularly true of
religious ideas, but the central concepts of science, philosophy,
and ethics are no exception to this rule. In their present form they
are variants of archetypal ideas, created by consciously applying
and adapting these ideas to reality. For it is the function of
consciousness not only to recognize and assimilate the external
world through the gateway of the senses, but to translate into
visible reality the world within us." - Carl Gustav Jung, "The
Structure of the Psyche" (1927), in Collected Works Vol. 8, The
Structure and Dynamics of the Psyche, P. 342
|
| The Diamond as a
Symbol of the Self: |
"...The Self is
symbolized with special frequency in the form of a stone.... The
nuclear center, the Self, also appears as a crystal.... The crystal
often symbolically stands for the union of extreme opposites - of
matter and spirit." - M.-L. von Franz, "The Process of
Individuation," in Man and his Symbols, ed. C. G. Jung
|
| On the Lapis
Philosophorum, the Philosophers' Stone -
"'What is this Stone?' Chloe asked.... '...It is told that,
when the Merciful One made the worlds, first of all He created that
Stone and gave it to the Divine One whom the Jews call Shekinah, and
as she gazed upon it the universes arose and had being.'" - Pp.
43-44, Many Dimensions, by Charles Williams, Eerdmans
paperback, April 1979
"The lapis was thought of as a unity and therefore often stands
for the prima materia in general." - P. 236, Aion, by C.
G. Jung, Princeton paperback, 1979
"Its discoverer was of the opinion that he had produced the
equivalent of the primordial protomatter which exploded into the
Universe." - P. 216, The Stars My Destination, by Alfred
Bester, Vintage hardcover, July 1996
"Take it! Keep it! It's your future.... It's yours. Make them
tell you what it is." - Pp. 252-253, The Stars My
Destination |
"And if the truth about
reality is always in our soul, the soul must be immortal...." -
Socrates in Plato's Meno dialogue (86b, tr. by W.K.C.
Guthrie)
"This Jack, joke, poor potsherd, patch, matchwood, immortal
diamond Is immortal diamond." - Gerard Manley Hopkins,
1888 |
| The Self as the
Union of Matter and Spirit: |
| Gerard Manley Hopkins
and Carl Jung have, in their own ways, used a diamond to symbolize
the self. Hopkins's "immortal diamond" metaphor probably referred to
a literal stone, although he may also have been referring to a
Platonic concept, or "form." Jung's discussion of the lapis
philosophorum, the philosophers' stone, referred to an alchemical
concept that is rather poorly defined... although Jung occasionally
referred to the chemistry of carbon in discussing the lapis. Jung
also wrote of "quaternity," or fourness, in connection with the
lapis, and drew, as a symbol of the self, a set of four geometrical
diamonds (squares rotated by 45 degrees). This web site discusses
neither alchemy nor chemistry, but does deal with what might be
termed the "sacred geometry" of the diamond.
|
| The Geometry of the
Diamond Archetype: |
|
Plato tells how Socrates helped
Meno's slave boy "remember" the geometry of a diamond. Twenty-four
centuries later, this geometry has a new theorem.
The Diamond Theorem (S. H. Cullinane):Inscribe a
white diamond in a black square. Split the resulting
figure along its vertical and horizontal midlines into four
quadrants so that each quadrant is a square divided by one of
its diagonals into a black half and a white half. Call the
resulting figure D. |
D
|
|
Let G be the group of 24 transformations of D obtained by
randomly permuting (without rotating) the four quadrants of D.
Let S4 denote the symmetric group acting on four
elements. Then
(1) Every G-image of D has some ordinary or
color-interchange symmetry (see below),
(2) G is an affine group generated by S4 actions
on parts of D, and
(3) Results (1) and (2) generalize, through intermediate
stages, to symmetry invariance under a group of approximately
1.3 trillion transformations generated by S4
actions on parts of a 4x4x4 cube.
| |
|


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SLROC Computes the ROC $ Syntax $ - [thrs, fars, frrs] = slroc(scores, signs, thres, op) $ Arguments $ - scores: the scores representing the signal intensities - signs: the signs representing the groundtruth (0 or 1) - thres: the descriptor indicating how to sample the thresholds at which the rate is computed - op: the option stating the attributes of the scores. - thrs: the sampled threshold values - fars: the false accept rates at the sampled thresholds - frrs: the false reject rates at the sampled thresholds $ Description $ - [thrs, fars, frrs] = slroc(scores, signs, thres, op) Computes the ROC of a receiver from the scores and groudtruth signs. The argument thres specifies the sampled thresholds at which the false accept rate and false reject rate is evaluated. If thres is an integer, say n, then n equal-interval integers from lowest to highest scores are taken as samples. The thres can also be a vector containing the sampled thresholds, which should be arranged in ascending order. op states the attributes of the scores, which takes either of the two values: 'high' or 'low'. If op is 'high', a higher score indicates a better match; if op is 'low', a lower score indicates a better match. The cumulative score will be computed up to the number of all classes. For output, if n thresholds are sampled, then thrs, fars, and frrs for all n x 1 vectors, containing the sampled threshold values, and the corresponding false accept rates, and false reject rates. $ History $ - Created by Dahua Lin on Jun 9th, 2005 - Modified by Dahua Lin on May 1st, 2006 - Base on the sltoolbox v4 - Modified by Dahua Lin on Aug 8th, 2006 - Base on slhistroc
0001 function [thrs, fars, frrs] = slroc(scores, signs, thres, op) 0002 %SLROC Computes the ROC 0003 % 0004 % $ Syntax $ 0005 % - [thrs, fars, frrs] = slroc(scores, signs, thres, op) 0006 % 0007 % $ Arguments $ 0008 % - scores: the scores representing the signal intensities 0009 % - signs: the signs representing the groundtruth (0 or 1) 0010 % - thres: the descriptor indicating how to sample the 0011 % thresholds at which the rate is computed 0012 % - op: the option stating the attributes of the scores. 0013 % - thrs: the sampled threshold values 0014 % - fars: the false accept rates at the sampled thresholds 0015 % - frrs: the false reject rates at the sampled thresholds 0016 % 0017 % $ Description $ 0018 % - [thrs, fars, frrs] = slroc(scores, signs, thres, op) Computes the 0019 % ROC of a receiver from the scores and groudtruth signs. The argument 0020 % thres specifies the sampled thresholds at which the false accept 0021 % rate and false reject rate is evaluated. If thres is an integer, 0022 % say n, then n equal-interval integers from lowest to highest scores 0023 % are taken as samples. The thres can also be a vector containing the 0024 % sampled thresholds, which should be arranged in ascending order. 0025 % op states the attributes of the scores, which 0026 % takes either of the two values: 'high' or 'low'. If op is 'high', a 0027 % higher score indicates a better match; if op is 'low', a lower score 0028 % indicates a better match. The cumulative score will be computed 0029 % up to the number of all classes. 0030 % For output, if n thresholds are sampled, then thrs, fars, and frrs 0031 % for all n x 1 vectors, containing the sampled threshold values, 0032 % and the corresponding false accept rates, and false reject rates. 0033 % 0034 % $ History $ 0035 % - Created by Dahua Lin on Jun 9th, 2005 0036 % - Modified by Dahua Lin on May 1st, 2006 0037 % - Base on the sltoolbox v4 0038 % - Modified by Dahua Lin on Aug 8th, 2006 0039 % - Base on slhistroc 0040 % 0041 0042 %% parse and verify the input arguments 0043 if nargin < 4 0044 raise_lackinput('slroc', 4); 0045 end 0046 if ~isequal(size(scores), size(signs)) 0047 error('sltoolbox:sizmismatch', ... 0048 'The sizes of scores and signs are not match'); 0049 end 0050 0051 % the following two statements are disabled in the 2006-08-08 modification 0052 % since scores(signs) will automatic serialize the values 0053 % there is no need to write this statement, just a waste of time and mem 0054 % scores = scores(:); 0055 % signs = logical(signs(:)); 0056 0057 if numel(thres) == 1 0058 n = thres; 0059 highscore = max(max(scores)); 0060 lowscore = min(min(scores)); 0061 thrs = linspace(lowscore, highscore, n)'; 0062 else 0063 thrs = thres(:); 0064 end 0065 0066 0067 0068 %% compute 0069 scores_a = scores(signs); 0070 scores_r = scores(~signs); 0071 0072 hist_a = histc(scores_a, thrs); 0073 hist_r = histc(scores_r, thrs); 0074 0075 [thrs, fars, frrs] = slhistroc(hist_a, hist_r, thrs, op); 0076 0077 0078 0079 0080


Name:
DOB:
Contact_no:
Address:
Email:
Gender *:
M:
F:
Country
(Please select a country)
Australia
Canada
India
Russia
USA


User's Guide: Tool Suite Release 1.5.1
Contents:
- Overview
- Usage
- Installing & Launching
- Interactive Mode
- CLI Mode
- Scripted Mode
- Writing Command Scripts
- Examples
1) Overview
To facilitate industry-wide adoption and usage of the MovieLabs Digital Distribution Framework,
MovieLabs has made available to the industry a suite of free and open-source software that
provides several key services:
- Validation: check the validity of a Avails,Media Manifest, Media Manifest
Core, Common Metadata, or Media Entertainment Core (MEC) file.
- Conversion: converts a Avails file from one format to another
The MDDF Tools are executable packages that are downloadable and provide interactive
environments for accessing the various MDDF services. The tools are available as an executable
Java jar. This provides access to all implemented MDDF services. The latest version of the
mddf-tool jar is available on the MovieLabs mddf GitHub repository.
2) Usage
The tool suite provides three modes of operation:
- Interactive: provides a GUI to check the validity of one or more MDDF files,
correct errors, and/or convert files to other formats.
- CLI: run from the Command Line Interface (CLI) using arguments
- Scripted: execution is controlled by a script file. The scripted mode
may be used either from a terminal window via command line interface (CLI) or in
conjunction with scheduled jobs (e.g., via crontab).
3) Installing & Launching
The tools are available as an executable Java jar. The latest version of the mddf-tool jar is
available on the MovieLabs mddf
GitHub repository. The mddf-tool jar may be used on any machine that supports Java 1.8 or a
more recent jvm. Once the jar file has been downloaded, it may be run using the standard Java
command:
java -jar ./{path-to-directory}/mddf-tool-v{version}.jar {args}
3.1) Interactive Mode
To access the tool suite via the interactive GUI, the jar should be run using the
-i
argument:
java -jar ./{path-to-directory}/mddf-tool-v{version}.jar -i
which will result in the Launcher Panel being displayed:
On start-up the software will periodically check to see if newer releases are available. If
so, a notice will be displayed providing information on how to obtain the latest release.
Checking for updates takes place at periodic intervals (i.e., approximately twice per month).
The Tool Launcher may be used to select either the Avails Validator/Translator tool or the
Manifest Validator tool. [Note: the Manifest Validator is also used to process MMC and MEC
files] For detailed instructions on using a specific tool, consult the appropriate tool-specific
documentation:
3.2) CLI Mode
The CLI mode may be used to validate one or more MDDF file. Command line options are, therefore,
focused mainly on specifying which MDDF file(s) to process and controlling logging output. The
following arguments are available:
-d,--dir <arg> Process all MDDF files in a directory.
-f,--file <arg> Process a single MDDF file.
-h,--help Display this HELP file, then exit
-i,--interactive Launch in interactive mode with full UI. When
used, this argument will result in all other
arguments being ignored.
-l,--logFile <arg> Output file for logging.
-logLevel <arg> Filter for logging; valid values are:
'verbose'
'warn' (DEFAULT)
'error'
'info'
-r,--recursive <arg> [T/F] processing of a directory will be
recursive (Default is 'T').
-s,--script <arg> Run a script file.
-v,--verbose Display log-file entries in terminal window
during execution.
-V,--version Display software version and build date.
-X,--exportAll export valid files in all applicable formats.
-x <arg> export valid files in specified format(s).
Multiple formats may be specified separated by
commas and requests to export in a format
matching the source format are ignored. The
formats available are dependent on the type of
MDDF file.
For AVAILS the following formats may be
specified:
-- AVAILS_1_7: Excel using v1.7 template.
-- AVAILS_1_7_2: Excel using v1.7.2 template.
-- AVAILS_2_2: XML using v2.2 schema.
-xDir,--exportDir <arg> Directory for exported files (Default is '.')
Example Usage:
java -jar mddf-tool.jar -f ../sample/MyManifest.xml -v
Validates a single file, prints the log entries to the console, and does not save the log output
in a CVS file. Log filtering is not specified so the default level of WARNING or higher is used.
java -jar mddf-tool.jar -d ../sample logLevel error -l myLogFile
Validates all MDDF files in a directory and filters the log entries to only include those with
severity ERROR or higher. processing will include all subdirectories since the '-r' argument is
not specified and defaults to 'T'. When completed, the log output will be saved to
"./myLogFile.csv".
java -jar mddf-tool-f ./Avail_v1.7.xlsx -xDir ./out -x AVAILS_2_2
Validates a single Avails specified as an Excel spreadsheet using the v1.7 template. If the file
is valid it will be converted to an XML file using the v2.2 schema and then saved in the './out'
subdirectory.
3.3) Scripted Mode
Validation of multiple MDDF files may be performed using scripts that can specify any of
options and settings available thru the CLI. A script may easily be used to process a set of
files with specified sub-sets being handled using different options.
3.3.1) Writing Command Scripts
A script file is written using the JSON
syntax. The structure for a validation script is as follows:
3.3.2) Examples
The following is an example of script that validates two Manifest files plus any Manifests
found in a specific folder and then saves the message log in an output file:
{
"validate":{
"pathPrefix":"./MediaManifests/",
"checks":{
"contraints":"Y",
"bestPrac":"N"
},
"logging":{
"level":"Warning",
"output":"./scriptLog01.xml"
},
"manifests":[
{
"file":"si_tests/CMM_BBB_v0.1.xml",
"profile":"DemVal"
},
{
"file":"si_tests/CMM_Sita_v0.1.xml",
"profile":"none"
},
{
"file":"studio",
"profile":"IP-1"
}
]
}
}
The next two examples illustrate the use, or non-use, of the
pathPrefix
. In the first example, all relative paths are resolved using the present working directory as
the base. Both
foo1.xml
and
foo2.xml
should therefore be in the
pwd
.
{
"validate":{
"pathPrefix":"./Demos/",
"manifests":[
{
"file":"foo1.xml"
},
{
"file":"./foo2.xml"
},
{
"file":"/foo3.xml"
}
]
}
}
In the next example,
foo1.xml
and
foo2.xml
are still co-located but are now in in a sub-directory of the directory containing the script
file.
foo3.xml
should still be in the same location as the previous examples since it is specified using an
absolute path.
{
"validate":{
"manifests":[
{
"file":"foo1.xml"
},
{
"file":"./foo2.xml"
},
{
"file":"/foo3.xml"
}
]
}
}
|


349
Created 1 hour and 48 minutes ago by yiseung
00:11:37
Created 24 minutes ago by yiseung
01:35:32
Created 20 seconds ago by yiseung
01:59:40


discourse analysis switches from a focus on self (intention) to interaction (social construction of what is said), to a focus on semiotic systems shared (language, culture, society).
two broad approaches:
and they differ on the unit of language (e.g. the sentence) and on the focus (e.g. stylistic or social functions)
structural analyses focus on the way different units function in relation to each other, but they disregard the functional relations with the context of which discourse is a part of. (this is a problem, and i don’t want to stick to pure structure). rather, they focus on units. those units (whether form based, morpheme, or meaning based, referential and conjunctive). coherence remains the responsibility of the interpreter’s knowledge of the state of affairs. (p. 24)
this unit-based approach does help to capture the sorts of internal does help to capture the sorts of internal dependencies that we expect texts to have. p. 27
in terms of unit, it’s important to identify the question or initial prompt, in order to then put it in relation with the response/statement/body of text, since this question also has implications. (p.29)
What we need to capture in a defintion of discourse is the idea that discourse analysis imposes its own set of phenomena, its own problems and puzzles—and can discover its own regularities—in addition to those that it “inherits” from lower-level parts of discourse and those based in the way language is a social practice “determined by social structures” p. 39
We can sugest that discourse arises not as a collection of inherently contextualized units of language use. (p.39)
the approach of the author is not so much to focus on language structure or on language use, but rather on utterances, units of language production that are inherently contextualized. These have pragmatic and semantic goals: how does the organization of discourse, and the meaning and use of particular expressions and constructions within certain contexts, allow people to convey and interpret the communicative content of what is said? how does one utterance influence the rest of communication?
pragmatics is the study of signs to interpreters: how particular discourse units are interpreted in particular ways by particular people (who can share common imaginaries/context) -> turning syntax into semantics (p.191)
the relationship of signs to their users
speaker meaning: what is the relationship of the signs used (their literal, conventional meaning), to what the speaker intends to say?
this is resolved by the cooperative principle, which assumes that the implied speaker meaning (implicature) will be resolved by the listener, in a mutually accepted direction (p.194)
Givón: the references used by the speaker are established by said speaker, and therefore the speaker controls, through the referential intent, the grammar of reference. (whether it is synchronous or asynchronous communication)
markers: - definite - indefinite - explicit - implicit
This work of references is understood to happen in sequences, in which meaning develops through first occurences, second occurences, etc.
Stories are useful texts in which to analyze referring sequences. In telling a story, a speake constructs a story world in which a limited number of entities act and interact with one another in a defined location and for a limited period of time. (p. 204)
A first-mention is interpreted relative to textually- and contextually-provided background assumptions about shared knowledge: first-mentions are relevant to information based in H’s knowledge of context.
It is based on CP, which assumes that he hearers can how to organize and use information offered in a text, along with background knowledge of the world (including knowledge of the immediate social context)


AS GOOD AS IT GETS (1997)
A film review by Steve Kong Copyright 1998 Steve Kong
As Good As It Gets is a wonderful "feel good" movie. The wonderful part of As Good As It Gets is that it is a "feel good" movie about a rotten guy.
 Melvin is an accomplished author, but there's no helping this guy, is there? The thing that starts a chain of events that changes Melvin is a cute scene stealing dog.  And when the film opens, Melvin (a very reclusive man) also hates Simon's dog. But, after some things happen, Melvin is stuck with Simon's dog, which starts the changing of Melvin. And Melvin starts to take interest in Carol (Helen Hunt) the waitress at the restaurant where Melvin eats all the time.
Jack Nicholson is just hilarious as the poison-tongued Melvin. Nicholson is about to portray Melvin as a guy who just can't say something good, but we can all see that he really does want to. Helen Hunt is also great as Carol, the waitress who is really doesn't know what to do with Melvin. Carol seems to understand Melvin and unlike others, she has a good temperance and is patient with Melvin. Simon has his own troubles and we see how the Melvin changes slowly and begins to accept Simon more. Greg Kinnear gives a good performance as Simon. Worth mentioning is Cuba Gooding Jr. who is Frank, Simon's art dealer, and watch for Gooding Jr.'s performance.
What surprised me a bit was the score for the film. The score comes from Hans Zimmer, and it is, at least to me, something completely different from what he's done before. The score is light but very likeable. It is different from his other scores in that it isn't a pulse pounding score. It is rather good and different from his last few scores which sounded the same (The Peacemaker, The Rock, and Broken Arrow.)
As Good As It Gets is a bit long, but, it is entertaining enough not to put anyone to sleep. The thing that drives As Good As It Gets is the characters. The characters are well written and I just wanted to see what they were going to do or say next. The story is somewhat predictable, but that's OK, the characters are good enough to carry the film. As Good As It Gets got me to laugh out loud quite a few times, and it was from Nicholson's performance. He is the one to see the movie for.
--- steve kong<EMAIL_ADDRESS>find the latest movie reviews at the hard boiled movie page http://boiled.sbay.org/boiled/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


|
mime-form-decode
|
Test driver for the low-level event-driven Decoder API class. More...
Public Member Functions | |
| TestDecoder () | |
| ~TestDecoder () | |
| virtual void | object_created (mime::Object *object) |
| A MIME object has been discovered in the input data. More... | |
| virtual void | data_start (mime::Object *obj) |
| A MIME object's data starts processing. More... | |
| virtual void | data (mime::Object *obj, unsigned char *data, int len) |
| Deliver data parsed from the MIME object. More... | |
| virtual void | data_end (mime::Object *obj) |
| All data from the MIME object has been delivered. More... | |
| void | close () |
| The data producer should call this once all data has been presented to the decoder to finalise processing and clean up all resources. More... | |
| void | decode (unsigned char c) |
| The data produced should call this method to present data to the decoder. More... | |
Test driver for the low-level event-driven Decoder API class.
Reads stdin until EOF, calling API for each character read. Implements the Decoder event methods are where something useful would be done.
|
inherited |
The data producer should call this once all data has been presented to the decoder to finalise processing and clean up all resources.
Definition at line 28 of file Decoder.cpp.
References mime::Parser::close(), mime::Decoder::obj, and mime::Decoder::parser.
Referenced by main().
|
virtual |
Deliver data parsed from the MIME object.
Implements mime::ClientInterface.
|
virtual |
All data from the MIME object has been delivered.
Implements mime::ClientInterface.
|
virtual |
A MIME object's data starts processing.
Implements mime::ClientInterface.
|
inherited |
The data produced should call this method to present data to the decoder.
Definition at line 15 of file Decoder.cpp.
References mime::ParserFactory::generic(), mime::Decoder::obj, mime::Parser::parse(), and mime::Decoder::parser.
Referenced by main(), and mime::StringDecoder::processString().
|
virtual |
A MIME object has been discovered in the input data.
Data may or may not follow.
Implements mime::ClientInterface.
Definition at line 29 of file try1.cpp.
References mime::Object::fields.


Before Change
elif ndim(x) == 3:
if data_format == "channels_first":
if len(bias_shape) == 1:
x += reshape(bias, (1, bias_shape[0], 1))
else:
x += reshape(bias, (1, bias_shape[1], bias_shape[0]))
elif data_format == "channels_last":
if len(bias_shape) == 1:
x += reshape(bias, (1, 1, bias_shape[0]))
After Change
new_shape = (1, 1, bias_shape[0])
else:
new_shape = (1,) + bias_shape
new_shape = transpose_shape(new_shape, data_format, spatial_axes=(1,))
x += reshape(bias, new_shape)
else:
x = tf.nn.bias_add(x, bias)
return x


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gtsam 4.1.1
gtsam
|
Public Member Functions | |
| GncParams (const BaseOptimizerParameters &baseOptimizerParams) | |
| Constructor. | |
| GncParams () | |
| Default constructor. | |
| void | setLossType (const GncLossType type) |
| Set the robust loss function to be used in GNC (chosen among the ones in GncLossType). | |
| void | setMaxIterations (const size_t maxIter) |
| Set the maximum number of iterations in GNC (changing the max nr of iters might lead to less accurate solutions and is not recommended). | |
| void | setMuStep (const double step) |
| Set the graduated non-convexity step: at each GNC iteration, mu is updated as mu <- mu * muStep. | |
| void | setRelativeCostTol (double value) |
| Set the maximum relative difference in mu values to stop iterating. | |
| void | setWeightsTol (double value) |
| Set the maximum difference between the weights and their rounding in {0,1} to stop iterating. | |
| void | setVerbosityGNC (const Verbosity value) |
| Set the verbosity level. | |
| void | setKnownInliers (const std::vector< size_t > &knownIn) |
| (Optional) Provide a vector of measurements that must be considered inliers. More... | |
| void | setKnownOutliers (const std::vector< size_t > &knownOut) |
| (Optional) Provide a vector of measurements that must be considered outliers. More... | |
| bool | equals (const GncParams &other, double tol=1e-9) const |
| Equals. | |
| void | print (const std::string &str) const |
| Print. | |
Public Attributes | |
| BaseOptimizerParameters | baseOptimizerParams |
| GNC parameters. More... | |
| GncLossType | lossType = TLS |
| any other specific GNC parameters: More... | |
| size_t | maxIterations = 100 |
| Maximum number of iterations. | |
| double | muStep = 1.4 |
| Multiplicative factor to reduce/increase the mu in gnc. | |
| double | relativeCostTol = 1e-5 |
| If relative cost change is below this threshold, stop iterating. | |
| double | weightsTol = 1e-4 |
| If the weights are within weightsTol from being binary, stop iterating (only for TLS) | |
| Verbosity | verbosity = SILENT |
| Verbosity level. | |
| std::vector< size_t > | knownInliers = std::vector<size_t>() |
| Slots in the factor graph corresponding to measurements that we know are inliers. | |
| std::vector< size_t > | knownOutliers = std::vector<size_t>() |
| Slots in the factor graph corresponding to measurements that we know are outliers. | |
Public Types | |
| enum | Verbosity { SILENT = 0 , SUMMARY , VALUES } |
| Verbosity levels. | |
| typedef BaseOptimizerParameters::OptimizerType | OptimizerType |
| For each parameter, specify the corresponding optimizer: e.g., GaussNewtonParams -> GaussNewtonOptimizer. | |
|
inline |
(Optional) Provide a vector of measurements that must be considered inliers.
The enties in the vector corresponds to the slots in the factor graph. For instance, if you have a nonlinear factor graph nfg, and you provide knownIn = {0, 2, 15}, GNC will not apply outlier rejection to nfg[0], nfg[2], and nfg[15]. This functionality is commonly used in SLAM when one may assume the odometry is outlier free, and only apply GNC to prune outliers from the loop closures.
|
inline |
(Optional) Provide a vector of measurements that must be considered outliers.
The enties in the vector corresponds to the slots in the factor graph. For instance, if you have a nonlinear factor graph nfg, and you provide knownOut = {0, 2, 15}, GNC will not apply outlier rejection to nfg[0], nfg[2], and nfg[15].
| BaseOptimizerParameters gtsam::GncParams< BaseOptimizerParameters >::baseOptimizerParams |
GNC parameters.
Optimization parameters used to solve the weighted least squares problem at each GNC iteration
| GncLossType gtsam::GncParams< BaseOptimizerParameters >::lossType = TLS |
any other specific GNC parameters:
Default loss


Google adds ten more games for Stadia launch day
by Alan MartinIf you were left underwhelmed by the titles available for Stadia on its launch this month , then Google has some good news for you: it’s adding ten more titles that’ll be available to play tomorrow when it officially goes live.
The new games are as follows:
- Attack on Titan: Final Battle 2
- Farming Simulator 2019
- Final Fantasy XV
- Football Manager 2020
- Grid 2019
- Metro Exodus
- NBA 2K20
- Rage 2
- Trials Rising
- Wolfenstein: Youngblood
At the same time, Google revealed that Tom Clancy’s Ghost Recon Breakpoint will now arrive before the year is out – a small advance on its previous 2020 window. You’ll also see that Google has added Doom: Eternal, Watch Dogs: Legion, Gods & Monsters and Cyberpunk 2077 to its list of 2020 Stadia releases.
Related: Best PC Games
While there are definitely some excellent titles in the new batch of launch-day titles, it seems less about wowing with new content and more about bulking out the store for launch. Though the dream of being able to carry on a game of Football Manager wherever there’s a screen would have killed our exam revision schedules if it were a thing back in the day.
Aside from Football Manager, which clearly isn’t everyone’s cup of tea, our pick of the new games available are Metro Exodus and Trials Rising.
The former is the third in the long running series of thoughtful post-apocalyptic shooters based on the novels of Dmitry Glukhovsky. Exodus removes the series from its linear, claustrophobic roots and puts everything in an expansive open world.
The latter is a maddeningly hard game where you have to balance your bike exactly right to complete a series of racing challenges. It’s ridiculously addictive. As Jake wrote in our review: “It’s a simple concept, executed with flair, and if that’s not worth applauding then what is?”
Whether Stadia is the best platform to play these games on is another matter, with Jade experiencing mixed performance in her hands-on time. We’ll find out tomorrow when Stadia officially launches.
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