{% extends "base.html" %} {% load static %} {% block title %} Approaches to the Collection {% endblock %} {% block body_class %}approaches fixed-nav{% endblock %} {% block header %} {{ block.super }} {% endblock %} {% block content %}
Document structure and schema used in analyzing documents
The information provided about each document in a display of search results, as well as the elements that are searchable, derive from the HLSL database built up from the analysis of documents in the Nuremberg Collection. Most of the search elements, such as personal author or date of document, are taken directly from parallel fields in the database; keyword search is a search that draws upon multiple database fields, including authors, titles, notes, defendants concerned, and subjects. The analysis has been done document by document, with nearly all of the analytical information being drawn or derived from each text.
Reference works have been used for some purposes, but the most important means of clarifying an individual document has been the related material in the collection. For a trial exhibit, for example, the trial transcript provides not only a trial date and transcript page reference, but also (usually) a clear statement of the subjects and defendants in regard to which the exhibit was submitted--something that the text of the document does not always make clear. In addition, any ambiguity, omission, or even a typographical error in a single document can often be corrected by referring to the trial transcript and/or other versions of the same text in the collection; a misprint in a trial exhibit, for example, can be corrected by checking the photostat or other version of the same text in the Evidence Files. The combination of the Case Files (trial documents), the trial transcript, and the Evidence Files (NO, PS, etc.) has allowed us to fill many gaps (such as the full name of a person mentioned by surname only) and correct many small errors (such as mistyped dates and numbers) in the documents. In the database, we correct small errors silently; when correcting a larger error, the error and the correction are indicated in the "Notes" field of the database.
Trial documents are analyzed in slightly more detail than the evidence file documents. For trial documents we note the trial issues (a prosecution charge or a defense response) and the defendant(s) to which the document relates. Since evidence file documents are not part of any one trial, these attributes do not apply.
Trial documents, or case file documents, are briefs, transcripts of oral arguments, document books of evidence exhibits, and other documents that were used in the course of the trial (or, in a few cases, prepared for use but not finally used in the trial). The bulk of the trial documents are the briefs presented by the defense and prosecution for and against each defendant, and the document books containing texts of the written evidence presented as exhibits.
Prosecution document books are organized by subject (e.g., euthanasia or the sterilization experiments in Case 1), while the defense document books are organized by individual defendants (e.g., Dr. Becker-Freyseng). This difference reflects the way the two sides presented their cases: The prosecution presented evidence about the various crimes in succession, citing the various defendants charged with responsibility for each one (e.g., the defendants implicated in the freezing experiments), and each defendant presented a separate case concerning the charges he or she faced (e.g., the several charges against Viktor Brack).
Nearly all of the prosecution exhibits, and many of the defense exhibits, were derived from material in the Evidence Files (see following section), so that trial documents and evidence file documents often provide the same text in multiple forms, with the trial document text in English and the evidence file text in English, German, and occasionally other languages. Sometimes the trial document text is a brief extract from a much longer full text in the evidence files. While the evidence files contain the material available for use in all the trials, the trial documents are those actually used in a particular trial.
The Evidence Files are collections of documents assembled by the IMT and NMT staffs for possible use in the Nuremberg trials. These files provided nearly all of the documentary evidence used by the prosecution and some of the evidence used by defendants. (Most defense evidence was assembled by individual defense attorneys and is represented only in the Case Files.) If a document was selected for use, English and German typescripts were extracted from the Evidence Files, or prepared separately, and placed in the Case Files used by the prosecution and defense attorneys; thus the same text often appears in both groups but any particular document belongs to one group or the other.
A full set of an Evidence File documents consists of four items: a photostat of the original document (usually but not always in German); a Staff Evidence Analysis identifying and analyzing the document; an English translation and typescript of the text; and a German typescript of the text.
The Evidence Files supplement the trial documents (case files) in two different ways. When a document is found in both groups, the Evidence File set adds information not contained in the Case File's English typescript: the Staff Evidence Analysis indicates how the IMT/NMT staff, and therefore the prosecution, identified and interpreted the document; the photostat contains visual clues such as letterheads, time-stamps, and manuscript annotations that clarify the text; and the German typescript assists in making comparisons between the German original and the English translation (the photostat text is often difficult to read). And when the document is missing from the Case Files, the Evidence Files provide a good substitute.
Prosecution document books are organized by subject (e.g., euthanasia or the sterilization experiments in Case 1), while the defense document books are organized by individual defendants (e.g., Dr. Becker-Freyseng). This difference reflects the way the two sides presented their cases: The prosecution presented evidence about the various crimes in succession, citing the various defendants charged with responsibility for each one (e.g., the defendants implicated in the freezing experiments), and each defendant presented a separate case concerning the charges he or she faced (e.g., the several charges against Viktor Brack).
Nearly all of the prosecution exhibits, and many of the defense exhibits, were derived from material in the Evidence Files (see following section).
Click on each document to view it in the Document Viewer.
This Case File Document (Trial Document) was derived from the English translation of
Evidence File NO-208. Click to view it in the Document Viewer.
These evidence sets were assembled by various war crimes staffs for use in the IMT and NMT. The six "N" groups were assembled by the NMT staff; the others were assembled for the IMT.
The subject area indicated for each group is approximate rather than strictly literal:
| C | Crimes (IMT; collected by British Admiralty) |
| D | Industry (IMT, British prosecution) |
| EC | Economics (IMT) |
| ECH | Economics-Heidelberg (IMT, Heidelberg Document Center) |
| ECR | Economics-Reichskreditkassen (IMT, Rosenheim Document Center) |
| L | London (IMT; collected in London) |
| M | Melvin (IMT) (Melvin Jones, Assistant Prosecutor of the United Kingdom) |
| NG | Nuremberg Government (NMT; concerning Nazi government agencies) |
| NI | Nuremberg Industrialist (NMT; concerning industry and finance, including NID for Dresdener Bank and NIK for Krupp) |
| NM | Nuremberg Miscellaneous (NMT) |
| NO | Nuremberg Organizations (NMT; concerning Nazi organizations such as the SS) |
| NOKW | Nuremberg High Command (NMT; concerning the Oberkommando der Wehrmacht) |
| NP | Nuremberg Propaganda (NMT) |
| PS | Paris-Storey (IMT) (Col. R. Storey, Documentation Division, Paris; the principal US collection for the IMT) |
| R | Rothschild (IMT) (Lt. Rothschild; from OSS collection in London) |
| TC | Treaty Committee (IMT; documents concerning international agreements) |
Staff Evidence Analysts worked for both the IMT and the NMT war crimes staffs, preparing brief identification and analysis forms (Staff Evidence Analysis forms) for the evidence file document sets (NO, PS, R, etc.). In some cases the full name of the analyst is not known.
Bierer, Walter


{% extends "grdo_layout.html" %} {% block body %}
Welcome and thank you for contributing to the Global River Dissolved Oxygen (GRDO) database! We are a group of river ecologists and biogeochemists interested in the spatial and temporal extent of hypoxia in rivers around the globe.
The GRDO community has contributed {{ndata}} time series data files and {{nmeta}} metadata files so far!
This project got started in September 2018 at the “Respiration Regimes in River Networks: A cross-biome perspective” workshop funded by the Swiss National Foundation and the National Science Foundation Macrosystems program.
By contributing to this database, you are not only helping our current efforts in investigating global riverine hypoxia, but also contributing to a larger world-wide database of dissolved oxygen data that is publicly available (following an embargo period) called StreamPULSE. Any data uploaded to this portal can be set to have a specified embargo period before it is publicly available on StreamPULSE. We have created a separate portal to make the upload process easier for you (no username required, simpler data requirements).
Other project members include (in alphabetical order): Alice Carter (Duke University), Matthew Cohen (University of Florida), Christopher Dutton (Yale University), Lluís Gómez-Gener (Umeå University), Nancy Grimm (Arizona State University), Jud Harvey (US Geological Survey), Ashley Helton (University of Connecticut), Lauren Koenig (University of Connecticut), Francine Mejia (US Geological Survey)
Step 1: Please download and copy and paste your data into the following two templates:
Step 2: Once your template files are filled in, upload them using the buttons below.
Please contact
Joanna Blaszczak
with any questions.
We welcome inquiries into future collaborative work with the database!


Paste base64 encoded, signed output keys data here (In Linux, can get base64 signed raw tx data: base64 your_output_keys_filename | xclip -selection clipboard) (In Windows, can get base64 signed raw tx data: certutil.exe -encode -f your_output_keys_filename encoded.txt & type "encoded.txt" | clip)
Viewkey (output keys file data is encoded using your viewkey. Thus is needed for decryption) Note: data and viewkey are sent to the server, as the calculations are done on the server side


This is a simple image gallery hosted on PeerCloud. All images are licensed under the Creative Commons CC0 license.
You can also find a copy of this example in the demo directory of the PeerCloud repo on GitHub.


{% if order_id %}
CHECKOUT COMPLETE
CHECKOUT FAILED
CHECKOUT COMPLETE
Your order is being processed. Any questions you have contact us at<EMAIL_ADDRESS>To get more information & track purchase history, Create an account and have access to order history and more.


|
Design Patterns - C++
|
Collection of various design patterns with example implementation in C++. Creational, Structural and Behavioral design patterns have been implemented. This also includes some of the commonly used Idiom in C++ programming. This is just to demonstrate the usage of the design patterns.
Note: Code is NOT optimized but is used as a part of knowledge sharing.
| Pattern Name | Description |
|---|---|
| Factory Method | General object construction is replaced with a specific method |
| Abstract Factory | Group of related class without specifying concrete implementation |
| Builder | Stepwise construction of Complex objects |
| Prototype | Object constructed from a prototype |
| Singleton | Build Class with single instance |
| Pattern Name | Description |
|---|---|
| Adapter | Link Objects with incompatable interfaces/classes |
| Bridge | Decouples Abstraction and implementation |
| Composition | Build Object into tree like structures |
| Decorator | Adding additional Features to existing objects dynamically |
| Facade | For providing simple interface for complex libraries |
| Flyweight | Sharing the common data between multiple objects |
| Proxy | Controlled access to original object |
| Pattern Name | Description |
|---|---|
| Chain of Responsibility | Handle Request/Data by multiple configurable Handlers |
| PIMPL | Pointer to Implementation |
| Command | Convert Requests as Objects for Handling |
| Iterator | Traverse elements in collections without exposing |
| Mediator | Collabration between objects via a mediator |
| Memento | Saving and Restoring the state of an Object |
| Observer | Notify Events between objects having one to many relationship |
| State | Alter the Objects behaviour when internal parameters change |
| Strategy | |
| Template | |
| Visitor |
| Books | |
|---|---|
| Book Title | Design Patterns Elements Of Reusable Object-Oriented Software |
| Book Publisher | Addison-Wesley |
| Publication Year | 2016 |
BSD 2-Clause License
Copyright (c) 2020, Jayavardhan Ravi All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.


{% extends 'base.html' %}
{% load static from staticfiles %}
{% block content %}
To Do: {{ issue.title }} In progress: {{ issue.title }} Development Done: {{ issue.title }} Closed: {{ issue.title }}
You haven't been added to any projects now, please, contact your PM or QA Lead to join projects team.
{{ project.project_details.title }}
{% for issue in project.project_details.issues %}
{% if issue.status == 'OPENED' %}
{% for issue in project.project_details.issues %}
{% if issue.status == 'IN_PROGRESS' %}
{% for issue in project.project_details.issues %}
{% if issue.status == 'RESOLVED' %}
{% for issue in project.project_details.issues %}
{% if issue.status == 'CLOSED' %}


Lecture 17: Writing and testing python programs¶
Using python files as scripts
Importing code from python files * the main block * removing top-level execution blocks
Testing python code * How to test * What to test
Script for translation
Using python files as scripts
Importing code from python files * the main block * removing top-level execution blocks
Testing python code * How to test * What to test
Script for translation


| Name |
{{ monitor.get_description() }} |
| State |
{{ monitor.state }} |
| Last check |
{{ monitor.last_check|timestamp }} |
| Check running right now |
{{ monitor.monitoring }} |
| Monitor definition |
{{ monitor.monitor_def.name }} |
| Checks enabled |
{{ monitor.checks_enabled }} |
| Alerts enabled |
{{ monitor.alerts_enabled }} |
| Message |
{{ monitor.msg }} |
| Last check state |
{{ monitor.last_check_state }} |
| Consecutive checks (same result) |
{{ monitor.consecutive_checks }} |
| Next scheduled job |
{{ monitor.scheduled_job_ts|timestamp }} |
| Monitor command |
{{ monitor.monitor_def.cmdline_filename }} {{ monitor.get_expanded_args() }} |
| Display events |
Event log |


|
Concurrecny Polyphase Merge Sort
Release
|
#include <MergeSort.hpp>
Static Public Member Functions | |
| static void | Sort1 (Type *A, size_t n, size_t AmountOfTh) |
| This algorithm create Split-List also know as Intervals from _merge1() sorts N subarrays. More... | |
| static void | Sort2 (Type *A, size_t n, size_t AmountOfTh) |
| The start point of _sort2() function. More... | |
| static void | PrintArr (Type *A, size_t n) |
| Print Array in one row divided by Space. More... | |
| static bool | isSorted (Type *A, size_t n) |
| The simple method that can check array for Sorted-property. More... | |
Static Private Member Functions | |
| static void | _sort2 (Type *A, int left, int right, size_t AmountOfTh) |
| static void | _merge1 (Type *out, const Type *in, const size_t *Intervals, size_t N) |
| static void | _merge2 (Type *A, int left, int mid, int right) |
|
staticprivate |
This algorithm sorts N sorted subarrays in 1 array using BinaryHeap Binary Heap with min-heap property.
| in | Array that contains N sorted subarrays |
| Intervals | Array that indicates where each subarray ends. Example [ Intervals[i - 1], Intervals[i] ) indicates where the i-subarray ends(i counts from 0 to N - 1) |
|
staticprivate |
This is the basic Merge() algorithm that used in the Simple Merge Sort
|
staticprivate |
This is the recursively algorithm that splits the A in half and evoke _sort2(A1.left, A2.right, AmountOfTh / 2) for each part.
|
static |
The simple method that can check array for Sorted-property.
|
static |
Print Array in one row divided by Space.
|
static |
This algorithm create Split-List also know as Intervals from _merge1() sorts N subarrays.


With our continuous commitment of providing healthy
products, we are also offering our Strawberry Jam that we
manufacture and supply. Our strawberry jam is made from fresh
strawberry pulps that are naturally grown in the country.
These are delicately handpicked and carefully processed to provide
one of the freshest and tastiest strawberry jams in the market.


Get the best African delicacies at the best price available here .The dishes made here from the below
restaurants are unique and scrumptious that is why the food here tastes better from the displayed restaurants.
Below are hotels in which you can choose your food preference from their displayed menu and prices listed.You can
add food to your reservation cart.
Osiris Restaurant
Alaso Restaurant


If your table needs to perform custom rendering of a cell or entire row when selected, a callback can be supplied to provide a custom render. One common way for web applications to allow users to interact with selected elements is to render actions when the user selects the item.
The callback, supplied in the selectedRenderCallback
property, is called for each cell in a selected
row and again for the entire row. If it returns undefined, the default rendering for the cell
or row is used. If it returns a string or a React component, that is used in place of the default rendering.
The item and a column number is passed to the callback. When called to render the entire row, -1 is passed for
the column. The return value in that case is rendered below the cells for the row. The example illustrates how
this looks.


Let's Play!
This are the rules of our little game:
Ping Pong will count up to your number from 1 with the following exceptions:
- Numbers divisible by 3 change to "ping"
- Numbers divisible by 5 change to "pong"
- Numbers divisible by 15 change to "pingpong"


{% if error %} Google FriendConnect authentication failed (we cannot find your friendconnect cookie). Please check that your popup blocker did block it. You can refresh the page or try another login provider. {% endif %}


Get All Banks for Offline Withdrawal
This endpoint allows retrieval of banks that could be used for offline withdrawal transactions.
| Name |
Description |
| Status |
Active |
| Enpoint URI |
api/Common/WithdrawalBanks |
| Method |
GET |
| URI Parameters |
Country |
| Body Parameters |
None |
| Request Format |
JSON |
| Response Format |
JSON |
| Name |
Type |
Description |
Sample |
| Id |
integer |
Unique internal Id of the bank |
2 |
| BankName |
string |
Name of the bank |
Kasikorn Bank |
| BankCode |
string |
Code assigned to the bank |
KB |
| BankUrl |
string |
URL address of the image of the bank's logo |
https://www.kasikornbank.com/SiteCollectionDocuments/assets/img/logo/kasikornbank.png
|
| Currency |
object |
Array of currencies supported by that bank |
[
{
"CurrencyCode": "THB"
}
]
|
| Code |
Description |
Resolution |
| 200 |
Success |
None |
| 500 |
Internal Server Error |
Verify that you are using the correct Client Key and Secret Key |
| 401 |
Unauthorized |
Check if you're HTTP request header is passed correctly, could be:
- Missing Client Key
- Missing Secret Key
|
| 404 |
Not found |
Contact Customer/Tech Support |


alphagruis
Home
Ethereum Classic Miner
Ethereum Miner
Ravencoin Miner
Home
Ethereum Classic Miner
Ethereum Miner
Ravencoin Miner
High performance miners designed and implemented by the
alphagruis
team.
Ethereum Classic Miner
Ethereum Miner
Ravencoin Miner
https://github.com/alphagruis


a jQuery plugin for telling you which font in a CSS font stack is used
FontUnstack is a jQuery plugin that provides a workaround for the CSS/browser limitation of not knowing which typeface in a CSS font stack is actually used on the client-side.
It adds a class with the name of the installed font to your desired HTML element(s). From there, you use CSS to do something interesting with that new class name, like change other type properties like type size, line-height, letter-spacing, margins, etc.
Depending on what font you have installed, the page title will be either be in Gill Sans, Arial Black, Verdana, or Helvetica, while the slogan is in Georgia, Times New Roman, or Times. One of the goals was to get the line length for each to be equal. However, each of these typefaces require different type sizes to make that happen.
h1.set_in_gillsans { font-size: 4.75em; margin-left: -6px; }
h1.set_in_arialblack { font-size: 4.45em; margin-left: -5px; }
h1.set_in_verdana { font-size: 4.45em; margin-left: -5px; }
h1.set_in_helvetica { font-size: 5.10em; margin-left: -6px; }
p.slogan.set_in_georgia { font-size: 1.0em; }
p.slogan.set_in_timesnewroman { font-size: 1.1em; }
p.slogan.set_in_times { font-size: 1.1em; }
The body text on this page uses Georgia and then fallback to Times/Times New Roman. Georgia has a large x-height, making it appear larger, and benefits from more lead, while the fallback, Times/Times New Roman, has a small x-height and needs less lead. Also, width of the typefaces differ so the measure changes (the number of characters per line). Let’s bring out our old friend Lorem Ipsum to illustrate. First in Georgia.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Now in Times, with the same type size, width, and line-height.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Notice the wrapping is different, and the spacing between lines is more open. To account for these differences, let’s use a smaller line-height (1.4 vs 1.5) and a narrower width on the paragraph (26.5em vs 32em).
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Now it matches the wrapping of the copy set in Georgia.
A hanging quote (when the “ sits outside the left margin and the first letter lines up instead) is normally difficult to achieve when you don’t actually know what typeface is used, because the width of the quote mark is different in different typefaces. An example:
The above is set in Georgia and has a negative of margin of -.5em.
When set in Times, we use a slightly smaller negative left margin of -.45em to get it to align properly.
Put on your typography fancy pants on and download it from GitHub.


T: 0 – 200mg Lyrica (Pregabalin)
T : 20 – 150mg Lyrica
T : 2:00 – 1 cup of Coleus tea
Weight – 130lbs
I managed to get a hold of some Lyrica, (pain reliever, among other things) and upon research found that it had somewhat psychoactive properties like many pain relievers. The fact that it was not an opiate intrigued me because it would be an entirely different experience from the usual analgesic highs.
I initially took 200mg (4 50mg pills) and waited 20 minutes until I got discouraged and took 3 more pills. About an hour passed before I noticed anything. I was definitely feeling dissociated, vision was minutely blurred, my mind was clouded, and I felt very lazy. There was a definite sense of contentment and well being, but it is sorta indefinable considering it was not an opiate, nor was the sensation anywhere near that of an opiate. It was almost like DXM or DPH, but different…unique.
Everything had a “sway” a sort of subliminal and natural groove, walking was impaired by swaying and fluid staggering, with exaggerated movements. Everything seemed closer than it really was, going around corners had a staggering effect similar to alcohol.
Music was mildly enhanced, especially mellow music like The Postal Service. Listening to this band gave my mind the feeling that it was being aired out and cleanse. Trees and clouds transcended their mundane shapes and became sharper, bolder images.
With the Lyrica high beginning to recede, I picked about ½ to 1 cup of fresh coleus leaves and shredded them, putting them into a coffee mug. I boiled some water and poured it into the cup to soak up the plant material. Even as I type this the tea is steeping, and though the Lyrica is waning, it still has a profound impact upon my typing, confusing me and I am practically having to retype every word at least 3 times to get them right.
I know drinking the coleus brew will not result in any “high”, but it will be an excellent dream enhancer. I have tried this before with positive results ( though not as strong or amazing as the dreams induced by passionflower).
----------
It has been a couple days since that night here I am to finish my report. The Lyrica was not coming down at all at that time, quite the opposite. It persisted in repeated waves. I even experienced one hallucination, a picture of some family make up the background on my computer. This picture hypnotized me, the faces seemed to take on life as if they would say something at any moment. What is more, is that sections of color in the picture separated from the picture and began to quiver and shake and pulse.
Eventually I was lulled into a deep sleep. The coleus dreams were nothing short of mesmerizing! The dreams I remember best was being in an Edgar Allen Poe poem, residing in the very creative energy that made it, fighting a Windigo!, and getting my dog high. Most of the dreams I could not remember due to how deep the sleep was and how unbelievably abstract they were.
The next morning I woke with some difficulty to find that I was still very much under the effects of the Lyrica! Walking, cognizance, speaking, were all impaired. I kept thinking people were talking to me, but when I asked “What?” (my voice, by the way, was incontrollable, the volume and the syllables and my tone were exaggerated) they would tell me that they didn’t say anything. This lasted most of the day, ending soon after waking from a very deep afternoon nap (which I am sure was induced by the Lyrica).
In short, the Lyrica was amazing, spiritual in a way I have found opiates to be lacking. I highly recommend it.
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.


|
Research
A significant part of my work is dedicated to addressing real-world challenges and developing practical applications (e.g., surveillance camera applications)
|
|
|
Face Shape-Guided Deep Feature
Alignment for Face Recognition Robust to Face Misalignment
Hyung-Il Kim,
Kimin Yun,
Yong Man Ro.
IEEE Transactions
on Biometrics, Behavior, and Identity Science, 2022
arXiv /
Bibtex
|
|
|
SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding
Sunoh Kim,
Taegil Ha,
Kimin Yun,
Jin Young Choi.
ACM International Conference on Information and Knowledge Management (CIKM), 2022
Paper
|
|
|
Localization Uncertainty Estimation for Anchor-Free Object Detection
Youngwan Lee,
Joong-won Hwang,
Hyung-Il Kim,
Kimin Yun,
Yongjin Kwon,
Yuseok Bae,
Sung Ju Hwang.
European Conference on Computer Vision Workoshop on Uncertainty Quantification for Computer Vision (ECCVW)
, 2022
arXiv
|
|
|
Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity
Geonu Lee,
Kimin Yun,
Jungchan Cho.
Sensors, 2022
arXiv
|
|
|
Gating Mechanism in Deep Neural
Networks for Resource-Efficient Continual Learning
Hyundong Jin,
Kimin Yun,
Eunwoo Kim.
IEEE Access, 2021
Paper
|
|
|
Diverse Temporal
Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
Youngwan Lee,
Hyung-Il Kim,
Kimin Yun,
Jinyoung Moon.
IEEE Access, 2021
arXiv
|
|
|
Improved Human-Object Interaction
Detection through On-the-Fly Stacked Generalization
Geonu Lee,
Kimin Yun,
Jungchan Cho.
IEEE Access, 2021
Paper
|
|
|
The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures
Kangmin Bae*,
Kimin Yun*,
Jungchan Cho,
Yuseok Bae.
IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS), 2021
Paper
* indicates equal contribution.
|
|
|
Position-aware Location Regression Network for Temporal Video Grounding
Sunoh Kim,
Kimin Yun,
Jin Young Choi.
IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS), 2021
arXiv /
GitHub
|
|
|
Robust Human Pose Estimation for
Rotation via Self-Supervised Learning
Kimin Yun,
Jongyoul Park,
Jungchan Cho.
IEEE Access, 2020
Paper
|
|
|
Unsupervised Moving Object Detection through Background Models for PTZ Camera
Kimin Yun,
Hyung-Il Kim,
Kangmin Bae,
Jongyoul Park.
International Conference on Pattern Recognition (ICPR), 2020
Paper /
Slide
|
|
|
Anti-Litter Surveillance based on Person Understanding via Multi-task Learning
Kangmin Bae*
Kimin Yun*,
Hyung-Il Kim,
Youngwan Lee,
Jongyoul Park.
British Machine Vision Conference (BMVC), 2020
Paper
* indicates equal contribution.
|
|
|
Vision-based Garbage Dumping Action Detection for Real-World Surveillance Platform
Kimin Yun,
Yongjin Kwon,
Sungchan Oh,
Jinyoung Moon,
Jongyoul Park.
ETRI Journal, 2019 (Best Paper Award)
Paper
|
|
|
Skeleton-based Action Recognition of People Handling Objects
Sunoh Kim,
Kimin Yun,
Jongyoul Park,
Jin Young Choi.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
arXiv
|
|
|
Action-Driven Visual Object Tracking with Deep Reinforcement Learning
Sangdoo Yun,
Jongwon Choi,
Youngjoon Yoo,
Kimin Yun,
Jin Young Choi.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018
Paper
|
|
|
Behavior Recognition of a Person in a Daily Video Using Joint Position Information
Jeong-Min Seo,
Haanju Yoo,
Kimin Yun,
Hyunil Kim,
Sang-Il Choi.
IEEE International Conference on Artificial Intelligence and Knowledge Engineering Workshop on AI Bigdata Cloud Technologies, 2018
Paper
|
|
|
Scene Conditional Background Update for Moving Object Detection in a Moving Camera
Kimin Yun,
Jongin Lim,
Jin Young Choi.
Pattern Recognition Letters, 2017
Paper /
Video /
Binary
|
|
|
Motion Interaction Field for Detection of Abnormal Interactions
Kimin Yun,
Youngjoon Yoo,
Jin Young Choi.
Machine Vision and Applications, 2017
Paper /
Video
|
|
|
Action-Decision Network for Visual Tracking with Deep Reinforcement Learning
Sangdoo Yun,
Jongwon Choi,
Youngjoon Yoo,
Kimin Yun,
Jin Young Choi.
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Paper
|
|
|
Appearance and Motion based Deep Learning Architecture for Moving Object Detection in Moving Camera
Byeongho Heo,
Kimin Yun,
Jin Young Choi.
IEEE International Conference on Image Processing (ICIP), 2017
Paper
|
|
|
Attention-Inspired Moving Object Detection in Monocular Dashcam Videos
Kimin Yun,
Jongin Lim,
Sangdoo Yun,
Soo Wan Kim,
Jin Young Choi.
International Conference on Pattern Recognition (ICPR), 2016
Paper
|
|
|
Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes
Sangdoo Yun,
Kimin Yun,
Jongwon Choi,
Jin Young Choi.
International Workshop on Crowd Understanding in conjuction with ECCV, 2016
Paper
|
|
|
Visual Path Prediction in Complex Scenes with Crowded Moving Objects
Youngjoon Yoo,
Kimin Yun,
Sangdoo Yun,
Jonghee Hong,
Hawook Jeong,
Jin Young Choi.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Paper
|
|
|
Robust and Fast Moving Object Detection in a Non-Stationary Camera via Foreground Probability based Sampling
Kimin Yun,
Jin Young Choi.
IEEE International Conference on Image Processing (ICIP), 2015
Paper
|
|
|
Gradient Preserving RGB-to-Gray Conversion using Random Forest
ByeongJu Lee,
Jongwon Choi,
Kimin Yun,
Jin Young Choi.
IEEE International Conference on Image Processing (ICIP), 2015
Paper
|
|
|
Robust Pan-Tilt-Zoom Tracking via Optimization Combining Motion Features and Appearance Correlations
ByeongJu Lee,
Kimin Yun,
Jongwon Choi,
Jin Young Choi.
IEEE International Conf. on Advanced Video and Signal based Surveillance (AVSS), 2015
Paper
|
|
|
Spatio-temporal weighting in local patches for direct estimation of camera motion in video stabilization
Soo Wan Kim,
Shimin Yin
Kimin Yun,
Jin Young Choi.
Computer Vision and Image Understanding, 2014
Paper
|
|
|
Learning with Adaptive Rate for Online Detection of Unusual Appearance
Kimin Yun,
Jiyun Kim,
Soo Wan Kim,
Hawook Jeong,
Jin Young Choi.
International Symposium on Visual Computing, 2014
Paper
|
|
|
Proximity Clustering for Revealing a Semantically Dominant Class
Tushar Sandhan,
Kimin Yun,
Jin Young Choi.
International Symposium on Visual Computing, 2014
Paper
|
|
|
Motion Interaction Field for Accident Detection in Traffic Surveillance Video
Kimin Yun,
Hawook Jeong,
Kwang Moo Yi,
Soo Wan Kim,
Jin Young Choi.
International Conference on Pattern Recognition (ICPR), 2014
Paper
|
|
|
Visual Surveillance Briefing System: Event-based Video Retrieval and Summarization
Sangdoo Yun,
Kimin Yun,
Soo Wan Kim,
Youngjoon Yoo,
Jiyeoup Jeong.
IEEE International Conf. on Advanced Video and Signal based Surveillance, 2014
Paper
|
|
|
Detection of moving objects with a moving camera using non-panoramic background model
Soo Wan Kim,
Kimin Yun,
Kwang Moo Yi,
Sun Jung Kim,
Jin Young Choi.
Machine Vision and Applications, 2013
Paper
|
|
|
Detection of Moving Objects with Non-Stationary Cameras in 5.8ms: Bringing Motion Detection to your Mobile Device
Kwang Moo Yi,
Kimin Yun,
Soo Wan Kim,
Hyung Jin Chang,
Hawook Jeong,
Jin Young Choi.
IEEE Int. workshop on Mobile vision, in conjunction with CVPR, 2013 (Best Paper Award)
Paper /
GitHub /
Video
|
|
|
Probabilistic Approach with Three Hierarchies of Motion Estimation for Video Stabilization
Kimin Yun,
Soo Wan Kim,
Jin Young Choi.
IEEE Digital Image Computing: Techniques and Applications, 2011
Paper
|
|
Award and Honors
- Best Paper Award, ETRI, 2022
- National R&D Excellence Top 100 (Project leader: Yuseok Bae), Minister of Science and ICT, South Korea, 2021
- Best Paper Award, ETRI Journal, 2020
- ETRI Representative Research - Grand Prize (Prjoect leader: Jongyoul Park), ETRI, 2020
- National R&D Excellence Top 100 (Project leader: Jongyoul Park), Minister of Science and ICT, South Korea, 2019
- New Employee Award, ETRI, 2019
- Best Paper Award, CVPR worshop, 2013
- Songwon KimYoungHwan Scholarship, 2006-2013
- Scholarship of EECS Department, Seoul National University, 2006
|
|


{% extends "layouts/subappindex.html" %} {% block description %}
This prototype consists of the following:
To be added


Welcome to the game! Repeat the pattern. You have 3 lives. Make a mistake and you lose one. Have fun!


1. This is an example quiz question
2. This is an example quiz question
3. This is an example quiz question


COVID- children pediatric coronavirus clinical {border-style cases patients px;} #ffffff;} features disease novel SARS-CoV- Table COVID-. infection asymptomatic contact data respiratory severe study transmission Chen Wang children. ACE China Clinical Med acute case (%). .–.; However, pooled severity syndrome (%) Liu Pediatr available characteristics epidemiological occurred outbreak pneumonia px; {font-family China, Chinese Data Dis Infect SARS age chest font-size glass lung neonates numbers opacities value Fever Huang January Lancet Pooled Severe Wuhan, Yang adults data. double; infected studies used < Asymptomatic Chang Children Chiu Elsevier Epidemiological Household Lin Medical Zhang [alt-text] [published ahead associated border-color border-width born common diagnosis findings ground human injury moderate mothers number online print] published pulmonary relevant reports review shown solid; studies. symptoms {font-style {font-weight <, -nCoV Assoc Chinese] Disease Feb Feng Health Hubei Intensive Lymphocyte National No. Number Taiwan Zhou [Article analysis bold care centre cluster compared control courier; critical current death diagnostic difference early em; factors family history identified important included infections initial mainly mild mortality performed positive presented pt;} radiographic related reported research resource review, risk shows suspicion travel type: viral


Matistat.us
Status for my projects and.. you're right here!
Loading...
Is it down though?™
Status for my projects and.. you're right here!
Loading...
My personal website. Nothing serious but the projects associated with it.
Loading...
Open source and free image hosting service.
Loading...
A high school set of projects.
Loading...
Website and documentation for Oli, my personal PHP framework.
Loading...
An high school set of projects.
Loading...


Class Set
Defined in: DataStructures.js.
| Constructor Attributes | Constructor Name and Description |
|---|---|
|
Set()
Class for managing a set.
|
| Field Attributes | Field Name and Description |
|---|---|
|
The elements stored.
|
|
|
The parents of the set.
|
|
|
The subsets of this set.
|
|
|
The size of the set.
|
| Method Attributes | Method Name and Description |
|---|---|
|
addSubset(set)
Adds the subset.
|
|
|
addSubsets(sets)
Adds the subsets.
|
|
|
cartesianProduct(set)
Returns the set that represents the cartesian product of two sets.
|
|
|
clone()
Clones the set into a new set.
|
|
|
difference(set)
Returns the set that represents the difference of two sets.
|
|
|
Returns the cardinality of the set.
|
|
|
getItems()
Returns the items that are stored in the set.
|
|
|
insert(element)
Adds the element to the set.
|
|
|
intersect(set)
Returns the set that represents the intersection of two sets.
|
|
|
isEmpty()
Checks if the set is empty.
|
|
|
multiInsert(elements)
Adds the elements to the set.
|
|
|
union(set)
Returns the set that represents the union of two sets.
|
Field Detail
elements
The elements stored.
parents
The parents of the set.
sets
The subsets of this set.
size
The size of the set. It's equal to his cardinality.
Method Detail
addSubset(set)
Adds the subset.
- Parameters:
- set
- {Set} The subset.
addSubsets(sets)
Adds the subsets.
- Parameters:
- sets
- {Array
} The subsets.
{Set}
cartesianProduct(set)
Returns the set that represents the cartesian product of two sets.
- Parameters:
- set
- {Set} The set to make the cartesian product with this.
- Returns:
- {Set} The set that represents the cartesian product .
{Set}
clone()
Clones the set into a new set.
- Returns:
- {Set} The set cloned from this set.
{Set}
difference(set)
Returns the set that represents the difference of two sets.
- Parameters:
- set
- {Set} The set to difference with this.
- Returns:
- {Set} The set that represents the difference.
{number}
getCardinality()
Returns the cardinality of the set.
- Returns:
- {number} The cardinality of the set.
{Array}
getItems()
Returns the items that are stored in the set.
- Returns:
- {Array} The items stored.
{void}
insert(element)
Adds the element to the set.
- Parameters:
- element
- {Element} The element to add.
- Returns:
- {void}
{Set}
intersect(set)
Returns the set that represents the intersection of two sets.
- Parameters:
- set
- {Set} The set to intersect with this.
- Returns:
- {Set} The set that represents the intersection.
{boolean}
isEmpty()
Checks if the set is empty.
- Returns:
- {boolean} True if the set is empty, false otherwise.
{void}
multiInsert(elements)
Adds the elements to the set.
- Parameters:
- elements
- {Array
} The elements to add.
- Returns:
- {void}
{Set}
union(set)
Returns the set that represents the union of two sets.
- Parameters:
- set
- {Set} The set with make the union.
- Returns:
- {Set} The set that represents the union.


| DOSE: |
repeated |
smoked |
DMT |
(powder / crystals) |
| |
repeated |
smoked |
Cannabis |
(plant material) |
Recently I was lucky enough to find a small amount of DMT, which happened to be enough for 9 experiments. The first was a small dose, probably less than 10mg, smoked with poor technique on some foil. The second was an 85mg oral trip, taken with moclobemide, which resulted in an overall ++ experience with several breif periods when I would get sucked into a very intense, strong +++ trip. I also experienced limited, weak entity contact during that experience. I wrote trip reports for both of those experiences.
My 2nd, 3rd, 4th, and 5th experiences all occured within a two hour time period, each time with between 5mg and 7mg smoked on a small amount of cannabis. I found that experience, or series of experiences (if you don't think I'm cheating by counting them as seperate), to be highly enjoyable.
So a few nights later I decided to get a bit deeper into DMT space. But, I only had a small amount of DMT left. 24mg to be precise. This may sound like a small amount of DMT to you - and it certainly is. But if there was one thing I learned a few nights earlier it was that a little bit of DMT goes a long way. One thing to consider is my technique smoking the DMT on top of cannabis. I am positive that this potentiates the DMT experience by an unquantifiable degree. I have no doubt that it flavors the experience, and I'm not sure if this is for the better or not. I would probably not smoke a much larger dose of DMT combined with cannabis for fear of too much anxiety and confusion during the trip. Regardless, I had a truly amazing experience the way I did it.
This evening I also planned to leave less time between smoking DMT. If I remember correctly, I smoked my 24mg of DMT in two parts, each approximately half of the material sprinkled on a small bowlpack of moderately potent cannabis. But I was quite stoned before I even started smoking the DMT so I was certainly fully affected by cannabis during the DMT experience. I should probably also mention I took an unweighed dose of Piracetam, for the first time in several weeks, about 10 hours earlier, probably around 1.5 grams.
I took my first hit... holding the flame above the DMT as I drew, to burn it as slowly as possible and melting it rather than setting it on fire right away... hold it in for 15 or 20 seconds... and blow it out slowly, savoring the oddly delicious flavor of the DMT/cannabis vapors. I repeat, this time starting to burn the material and drawing a bigger lungful of smoke (I discovered a few nights earlier that this method works just fine, and in fact seems almost nescessary to get all of the DMT out of the half-burnt weed). As I hold the smoke in, I can feel my mind start to expand beyond the boundaries of my skull. By the time I blew it out I was surrounded by movement and bright colors.
Objects on my desk were squirming around as if I were peaking on a couple grams of really good shrooms. Except they were a bit livelier, brighter, and happier on DMT. Transparent neon colors, especially blue and yellow, forming vague and blurry geometric patterns were suspended in the air before my eyes. Every so often I would see a small glowing ball of light dash across my field of vision or a pair of weird eyeballs pop in and out of existence in some random location. I perceived these as entities, but that I had not smoked enough to really get a better look at these things.
It was also difficult not to notice the fact that I was extremely high. DMT feels similar to LSD, in the sense that the high is very much concentrated in your head. However, there is no 'body load' to speak of. DMT feels so natural on the body. There was definitely a buzzing sensation, a floaty, fluid feeling, and a sensation that my consciousness was extended across a larger space. It feels good, but I do not find there is a huge euphoric push or forced mood lift. Most positive feelings are a result of the experience itself, not a nescessary part of the drug's effects.
So I put on some music. I listened to Grateful Dead, some Phish, and other mostly-live hippie music over the course of the next hour or so. I found that the DMT, no doubt enhanced by the cannabis, made my music sound absolutely amazing, and made me feel like I was in the crowd, sitting outside on the grass on a sunny summer day, experiencing a concert live among a crowd of groovy people.
I don't know why I decided to mess around in Photoshop at this time. But it was fun, and I enjoyed the visuals looking at the computer screen. I realized how strange and kind of lame it was to be on my computer during a DMT trip, and also realized I am pretty much tied to my computer for a lot of the time when I don't have anything else to do. But I continued to use the computer anyway.
The effects of the DMT were still going strong, and I thought I better smoke it soon if I want to get any higher on this stuff before I run out. DMT seemed to erase my concept of time. It seemed like I had 'done too much stuff' after smoking the first bowl of DMT to still be feeling it this strong. I found, looking at the clock, that my estimates of elapsed time were always much longer than reality. Also, I believe the cannabis extends the length of DMT's action. I ate 3mg of Melatonin, hoping it would kick in after the DMT had worn off, to help me sleep. Then I went to pack some fresh greens in my bowl with the second half of my DMT.
Oops! I'd forgotten I still hadn't finished the first bowl! I finished off the cannabis in a couple more hits, along with a very noticeable amount of DMT which raised me right back to the intensity of my first peak (which had died down a bit in the time it took me to arrive at this point). I chilled out for a couple minutes, noticing increased entity activity in the air around me. This was actually very distracting, because it seemed like they were fond of sneaking up on me.
But I didn't wait long to pack those fresh greens and put the remaining ~12mg of DMT on top of it. I took it all down in three or four big hits.
By the time I'd blown out the second to last hit, I noticed my bed was levitating. By the time I'd blown out my last hit, there was a river, formed of psychedelic patterns, flowing through my floor. The high was getting too intense for me to sit at my desk any longer so I quickly made a playlist on my computer that would last about 30 minutes, and then I made my way over to my bed to lie down.
I experienced a sensation like my body was being gently, yet persistantly pulled up into space. I would have loved to have enjoyed this sensation and meditated in this state of being, but there were far too many distractions. The amount of activity in the air, consisting of flying glowing energy balls, fluid transparent amorphous shapes - one of which remained just over my right shoulder, and followed me into the bathroom as I stood above the toilet and did my business - let's see, what else? Oh yes, plenty of pairs of glowing eyes popping in and out of existence in random places. I wouldn't ever take DMT without expecting to see those... Well, in general there was just a whole lot of things flying through the air, usually at such a quick speed that I couldn't help but divert my attention towards it. That meant I spent a lot of time lying in my bed with my eyes fully open, darting around in partial amazement, partial intimidation at all these 'phenomena'.
My intimidation simply came from the fact that they always snuck up on me! Honestly, seeing a pair of glowing cat-like eyeballs pop out of something is more creepy than 'cool' for me. The zooming energy balls were allright, except that every once in a while one of them would flash very brightly and a couple of times that startled me. The fluid amorphous blobs were probably my favorite, although I didn't like how they (or maybe it was just one, I never saw more than one of these at once) liked to linger over my shoulder. Also I asked it not to follow me when I took a piss but it did anyway.
So, I spent what felt like a really long time lying in bed watching these entities. I couldn't really get much 'deep thinking' done, although I did have plenty of trippy streams of thought that I can't remember now. My tapestries were in a state of constant reconfiguration and movement. At one point my tapestry turned into the Grateful Dead dancing bears... except not exactly the same. Anyway, they were a weirder version of the dancing bears, but they were definitely dancing.
After a while I noticed that the neon color patterns before my eyes had reappeared, and come back much more clearly defined. This time the pattern was unmistakeable. It was the chrysanthemum that I've read about many times in other DMT reports.
I perceived this chrysanthemum as a dome, made of interlocking almost-triangles, which seemed to be suspended five to ten feet above and to the front of my head. I realized that this was only a cross-section of a tunnel-of-sorts, with one end coming out of my forehead, and the other end extending deep into space. I couldn't tell if it was a one-way or two-way connection. It seemed like my soul was a projection of my actual existence which was deep in space... so that I could make use of my human body, for whatever reason.
During this time I was experiencing auditory hallucinations in the form of beeps, whirring sounds (made by the glowing balls of energy), and strange muffled spoken language. I thought this was fascinating, but it also made me feel a bit schizo.
Well, the melatonin was starting to kick in, which seemed to be interacting with the remaining DMT, giving me a somewhat dissociated, sinking feeling which was neither enjoyable nor unenjoyable. The entities were still visible for quite a while, much longer than I expected any smoked DMT trip to last. I tried to close my eyes to see if sleep would be possible soon, and I saw a strange, mole-like beast crawling it's way towards me with pretty sharp claws.  I'd say I was still at a solid ++ from the DMT until about an hour after smoking it. And it's hard to limit a trip to a '++' rating when there are entities around.
...
I didn't get any extraordinary lessons out of this trip, just like all my other DMT experiences. I found all the entities I encountered basically useless and distracting. However I would try to be very careful setting expectations on any future experiments. I did find it somewhat recreational: music euphoria was great, visuals were beautiful, colors were bright and the buzz feels nice. On some levels it was very much like being dropped into the peak of an LSD trip. But I find it hard to relax around so much strange life. Perhaps if I got used to these entities, or they actually made meaningful contact with me it would be a different story.
The best part of the trip was the experience of viewing, and being attached to the chrysanthemum. I believe I gained some insights into the nature of our purpose as human beings, and this trip has only reaffirmed my belief that death is nothing to fear, and humanity is but a strange stop on our continuing journeys.
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.


Vote for your Favorite candidate befor its too late
Each Vote cost 100frs


Single-Monitor Plots
Date range
Update map
Monitor ID
Plot type
Daily average
Time of day
Time series
How-to
First, select the date range the plot should cover.
Next, enter the ID of the monitor you would like to inspect. You can either type it in or click on its marker on the map to fill out the text box.
Finally, click on the button for the plot type you would like to generate. The plot will open in a new tab.
ERROR
×


because sometimes a pocket knife is not enough
Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions. And before you ask: It's BSD licensed!
from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello World!" if __name__ == "__main__": app.run()
$ easy_install Flask $ python hello.py * Running on http://localhost:5000/
If you are looking for some example code of applications written with Flask, have a look at the sources of the examples on github:
Found a bug? Have a good idea for improving Flask? Head over to
Flask's github page and
create a new ticket or fork. If you just want to chat with fellow
developers, go to #pocoo
on irc.freenode.net.


The goal of this program and its accompanying shaders is to realistically render a star using a physically based model based on plank’s black body radiation equation. Only the surface of a star is considered hear. The corona of the star should normally be dealt with as well, and this is something I’m currently working on.
The colors and brightness wee see when observing stars is mostly due to black body radiation. A thorough explanation of black body radiation is beyond the scope of this article, however a brief summary will help in the understanding of the rest of this article, and accompanying program. If you are already familiar with black body radiation and Plank’s equation, then you may skip this section.
One of the conclusion of Plank’s and others work on black body radiation is that all objects radiate electromagnetic energy with a wavelength and amount based on the temperature of the object. As the temperature of an object increases the peak wavelength of the emitted radiation decreases. Although the peak wavelength decreases as temperature increases, the amount of radiation always increases at every wavelength in the spectrum. For instance an object at 4500K emits light with a peak wavelength in the red part of the spectrum. An object at 6000K emits light with a peak wavelength in the blue, however it is still emitting more red light than the 4500K object. This effect can be observed in every day life. A cool flame like a candle will tend to be redder and dimmer, while a hotter flame will be bluer and brighter everything else being equal.
The radiation output of an object with a particular temperature, at a particular wavelength can be represented by Plank’s equation shown hear.
2πhc2
E= -------------------
λ5(e^hc/(λKt) – 1)
where
h = Plank’s constant = 6.626E-34 JS
c = Speed of light = 2.997E8 m/s
K= Boltzmann’s constant = 1.380E-23 J/K
λ = Wavelength
t = Temperature
A star is not a perfect black body radiator, however it’s pretty close. Since 3d graphics is an approximation of reality, and Plank’s equation will make a very good approximation of the color of a star, we can use it to model a star.
Texture format
For our star we will first need a texture which will represent the temperature at every location on our star. In order to support many different star temperatures, only the variation from the average temperature will be stored in this texture. Precision is a very important issue for this shader, and my earlier attempts to make it work on low precision (ps 1.4) devices failed (temperature stability problems). So we will choose a floating point texture format for our texture, and all pixel shaders will be full precision 2.0 or higher shaders. We will use the D3DFMT_A16B16G16R16F format for our textures. Some of the latest hardware offer full filtering capabilities for textures using this format, so we won’t have to handle filtering in the pixel shader. Since temperature is a scalar quantity, we only need 1 element of this texture, but we have to use the full 4 component format to enable us to use this texture as a render target. Some other use may be found for the remaining unused components if combined with other techniques.
Temperature
Simulation Step 1
Static stars are not very interesting, so we want to animate the temperature on our star. Perlin noise could be used for this(requires a lot of memory to animate), but I’ve decided to use a temperature simulation for my shader. This will require two passes. I’ve tried a few different techniques but this is the one that has given me the best results.
At the start of the program the temperature texture will be initialized to all 0’s making our star start out with a uniform temperature at its average temperature. Next a large number (150k in the included example) of points will be created. The points represent locations where the star is heating up or cooling down. The points operate in pairs. It is important to maintain a constant average temperature over the entire star. So for every point adding heat to the star texture, there will be another point removing the exact same amount of heat from another location in the texture. A heat point will start at zero, then slowly increase or decrease to its max/min temperature, and then return to zero. Then the point will move to a new random location and begin again. A pixel shader is used to “render” the heat points into the temperature texture to simulate the star heating up and cooling off at these locations.
Temperature
Simulation Step 2
The heat at any given point on the texture will influence the heat at adjacent points in the texture. In the second pass we will render a quad covering the entire temperature map. Then in the pixel shader, for each texture location, the value will be averaged with the 4 adjacent texture values. This pass will not occur every frame, but will occur at a rate set for how fast we want the heat to spread along the surface of the star. In the demo app you can use the up/down arrow keys to switch techniques and view the completed temperature map by itself without the rest of the technique.
Plank’s
equation
In the final pass pixel shader we begin by sampling our generated temperature texture map. We then add in the average temperature for our star to get the temperature for the given pixel. Next we plug the temperature value, and the wavelengths we want to sample into planks equation. (wavelength is either red,green,blue or a 100nm uv wavelength in the demo app). I’ve figure in a white point into the constants used in this step so that a star of 5800K(our suns temperature) will appear white and in the usable range of a computer monitor. Note that the brightness of a star will vary exponentially with temperature in Plank’s equation. Since this will cause our star to become solid white on our monitor very quickly as temperature is increased, I also renormalize the variation in brightness between the 2000K-10000K ranges so that the star stays in a usable brightness range (less realistic, but more practical as an effect).
View dependent
brightness
The
star will tend to emit more light in the normal direction than other direction
on average, due to self shadowing and such as the surface of the star is not
perfectly flat. I implement this by making the brightness fall off as the view
vector is further from the normal vector. This causes the brightness to be less
at the edges of the star. This is implemented by the equation abs(((abs((NdotV)-1))^4)-1) in
order to make the fall off more rapid the closer it gets to the edge. This is
kind of like a reverse fresnel
effect. This is done in the same pass as the previous step, and completes the
effect.
Bioagraphy
Eric Duhon
Graduate for the


Mott, a soft leather clutch that’s been sized up to comfortably fit your cell phone, lipstick and other essentials. Fashionably functional and sleek.
Signature MK Jacquard monogram printed bifold style wallet with polished silver tone hardware. Color: Heather Grey.
Michael Kors Sady Ladies Large Tote Handbag. Features a top zip closure, an interior zip pocket, two interior slip pockets, and an exterior slip pocket. Light gold tone hardware. Large sized tote handbag. Sady series. Michael Kors Sady Ladies Large Tote Handbag. Admiral Blue.
Michael Kors Kenly medium crossbody waist pack in vanilla signature.
Michael Michael Kors keeps all of your essentials stylishly organized with this all-in-one chic multi-function wallet, secured with a zip-around closure to keep it all together
Saffiano leather with gold tone hardware


class Binance::Listener
- Binance::Listener
- Reference
- Object
Overview
The Listener class is responsible for managing the websocket connection and passing all
messages to the Handler. No parsing is done here. The JSON of the message is passed as
a String
object ready to be parsed.
Binance's websocket service ocassionally goes quiet with no updates and without closing
the websocket stream. Because of this, the Listener
class implements a watcher in
another thread that will periodically check to see if data is still flowing. If not,
the websocket stream is closed. Any of your handlers that are processing data and
running in a Fiber
on a timed-loop should also check the Handler's #stopped
property to see if the Listener
's websocket stream has closed.
Defined in:
binance/client/websocket/listener.crConstant Summary
-
SENTINEL =
"SENTINEL"
Constructors
-
.new(symbols : Array(String), streams : Array(String), handler : Binance::Handler, timeout : Time::Span = 0.seconds, service = Binance::Service::Com)
Uses one handler for all market/symbols when an instantiated handler is passed If a timeout > 0.seconds is given, then a watcher loop is started and will force close the websocket stream if data stops flowing for longer than the given timeout span.
- .new(symbol : String, streams : Array(String), handler : Binance::Handler, timeout : Time::Span = 0.seconds, service = Binance::Service::Com)
-
.new(symbols : Array(String), stream : String, handler_class, timeout : Time::Span = 0.seconds, service = Binance::Service::Com)
One handler for each market/symbol is instantiated.
- .new(symbol : String, stream : String, handler_class, timeout : Time::Span = 0.seconds, service = Binance::Service::Com)
- .new(stream : String, handler_class, timeout : Time::Span = 0.seconds, service = Binance::Service::Com)
Instance Method Summary
- #attach_events(ws)
- #build_stream_names(stream_name : String)
- #build_stream_names(stream_names : Array(String))
- #handler_class? : Binance::Handler.class
- #handler_for_stream(stream)
- #handlers : Hash(String, Binance::Handler)
- #last_seen : Time
- #listen
- #message_stream(message : ChannelMessage)
- #messages : Int32
- #messages=(messages : Int32)
- #open_connection
- #run
- #service : Service
- #service=(service : Service)
- #service_host
-
#start_watcher
If the listener is started with a timeout > 0, then the watcher will close the websocket connection if no messages from the server is received within the timeout span.
- #stopped : Bool
- #stopped=(stopped : Bool)
- #stream_names : String
- #symbols : Array(String)
- #symbols_param
- #timeout : Time::Span
- #websocket : HTTP::WebSocket
Constructor Detail
Uses one handler for all market/symbols when an instantiated handler is passed If a timeout > 0.seconds is given, then a watcher loop is started and will force close the websocket stream if data stops flowing for longer than the given timeout span.
One handler for each market/symbol is instantiated. If a timeout > 0.seconds is given, then a watcher loop is started and will force close the websocket stream if data stops flowing for longer than the given timeout span.
Instance Method Detail
If the listener is started with a timeout > 0, then the watcher will close the websocket connection if no messages from the server is received within the timeout span.


Expressive, assertive, pipe-friendly functions to check the properties of common R objects. In the case of failure the functions issue informative error messages.
| Version: | 0.4.0 |
| Imports: | err |
| Suggests: | assertthat, checkmate, covr, datasets, magrittr, dplyr, testthat, knitr, rmarkdown |
| Published: | 2018-11-01 |
| Author: | Joe Thorley [aut, cre] |
| Maintainer: | Joe Thorley <joe at poissonconsulting.ca> |
| BugReports: | https://github.com/poissonconsulting/checkr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/poissonconsulting/checkr |
| NeedsCompilation: | no |
| Language: | en-CA |
| Citation: | checkr citation info |
| Materials: | README NEWS |
| CRAN checks: | checkr results |
| Reference manual: | checkr.pdf |
| Vignettes: |
Packages for Assertive Programming checkr Naming Schemes |
| Package source: | checkr_0.4.0.tar.gz |
| Windows binaries: | r-devel: checkr_0.4.0.zip, r-release: checkr_0.4.0.zip, r-oldrel: checkr_0.4.0.zip |
| OS X binaries: | r-release: checkr_0.4.0.tgz, r-oldrel: checkr_0.4.0.tgz |
| Old sources: | checkr archive |
| Reverse imports: | flobr, mcmcr, rpdo, rtide, ssdtools, tinter, ypr |
Please use the canonical form https://CRAN.R-project.org/package=checkr to link to this page.


|
CS108 Xamarin Library
1.0.14
|
The structure used to retrieve the status for a logical antenna port is defined as follows: More...
Public Member Functions | |
| AntennaPortStatus () | |
| Constructor More... | |
Public Attributes | |
| AntennaPortState | state = AntennaPortState.UNKNOWN |
| Indicates the state of the logical antenna port. More... | |
| Boolean | enableLocalInv |
| Enable local Inventory parameter. More... | |
| SingulationAlgorithm | inv_algo |
| Inventory local parameter More... | |
| UInt32 | startQ |
| Inventory local parameter More... | |
| Boolean | enableLocalProfile |
| Enable local profile More... | |
| UInt32 | profile |
| Link Profile More... | |
| Boolean | enableLocalFreq |
| Enable Local frequency More... | |
| UInt32 | freqChn |
| frequency channel to use. More... | |
| UInt32 | antennaSenseValue = 0 |
| The stored value from the last measurement of the antenna-sense resistor for the logical antenna port's physical transmit antenna port. The last measurement taken occurred the last time that the carrier wave was turned on for this antenna port – note that this means that when retrieving the logical antenna port's status, this does not Result in an active measurement of the antenna-sense resistor. This value is specified in ohms. More... | |
Protected Attributes | |
| UInt32 | length_ = 40 |
| Structure size More... | |
Properties | |
| UInt32 | length [get] |
| Structure size More... | |
The structure used to retrieve the status for a logical antenna port is defined as follows:
| CSLibrary.Structures.AntennaPortStatus.AntennaPortStatus | ( | ) |
Constructor
| UInt32 CSLibrary.Structures.AntennaPortStatus.antennaSenseValue = 0 |
The stored value from the last measurement of the antenna-sense resistor for the logical antenna port's physical transmit antenna port. The last measurement taken occurred the last time that the carrier wave was turned on for this antenna port – note that this means that when retrieving the logical antenna port's status, this does not Result in an active measurement of the antenna-sense resistor. This value is specified in ohms.
| Boolean CSLibrary.Structures.AntennaPortStatus.enableLocalFreq |
Enable Local frequency
| Boolean CSLibrary.Structures.AntennaPortStatus.enableLocalInv |
Enable local Inventory parameter.
| Boolean CSLibrary.Structures.AntennaPortStatus.enableLocalProfile |
Enable local profile
| UInt32 CSLibrary.Structures.AntennaPortStatus.freqChn |
frequency channel to use.
| SingulationAlgorithm CSLibrary.Structures.AntennaPortStatus.inv_algo |
Inventory local parameter
|
protected |
Structure size
| UInt32 CSLibrary.Structures.AntennaPortStatus.profile |
Link Profile
| UInt32 CSLibrary.Structures.AntennaPortStatus.startQ |
Inventory local parameter
| AntennaPortState CSLibrary.Structures.AntennaPortStatus.state = AntennaPortState.UNKNOWN |
Indicates the state of the logical antenna port.
|
get |
Structure size


|
Adbase
Adinf C++ base library V2
|
Classes | |
| class | Binary |
| class | Handler |
| class | Interface |
| union | ProtocolBinaryHeader |
| Definition of the header structure for a request or repsonse packet. More... | |
Typedefs | |
| typedef std::function< ProtocolBinaryResponseStatus(ProtocolBinaryDataType datatype, const void *body, ssize_t bodylen, ProtocolBinaryDataType *resDataType, Buffer *data)> | ReadHandler |
Enumerations | |
| enum | ProtocolBinaryMagic { PROTOCOL_BINARY_REQ = 0x90, PROTOCOL_BINARY_RES = 0x91 } |
| Definition of the legal "magic" values used in a packet. More... | |
| enum | ProtocolBinaryResponseStatus { PROTOCOL_BINARY_RESPONSE_SUCCESS = 0x00, PROTOCOL_BINARY_RESPONSE_ERROR = 0x01, PROTOCOL_BINARY_RESPONSE_UNKNOWN_COMMAND = 0x02, PROTOCOL_BINARY_RESPONSE_NOT_SUPPORTED = 0x03, PROTOCOL_BINARY_RESPONSE_EBUSY = 0x04 } |
| Definition of the valid response status numbers. More... | |
| enum | ProtocolBinaryDataType { PROTOCOL_BINARY_TYPE_ASCII = 0x00, PROTOCOL_BINARY_TYPE_JSON = 0x01, PROTOCOL_BINARY_TYPE_GPB = 0x02, PROTOCOL_BINARY_TYPE_RAW = 0x03 } |
| Defintion of the different command opcodes. More... | |
| typedef std::function<ProtocolBinaryResponseStatus (ProtocolBinaryDataType datatype, const void* body, ssize_t bodylen, ProtocolBinaryDataType* resDataType, Buffer* data)> adbase::head::ReadHandler |
Definition at line 28 of file Interface.hpp.
Defintion of the different command opcodes.
| Enumerator | |
|---|---|
| PROTOCOL_BINARY_TYPE_ASCII | |
| PROTOCOL_BINARY_TYPE_JSON | |
| PROTOCOL_BINARY_TYPE_GPB | |
| PROTOCOL_BINARY_TYPE_RAW |
Definition at line 50 of file Binary.hpp.
Definition of the legal "magic" values used in a packet.
| Enumerator | |
|---|---|
| PROTOCOL_BINARY_REQ | |
| PROTOCOL_BINARY_RES |
Definition at line 25 of file Binary.hpp.
Definition of the valid response status numbers.
| Enumerator | |
|---|---|
| PROTOCOL_BINARY_RESPONSE_SUCCESS | |
| PROTOCOL_BINARY_RESPONSE_ERROR | |
| PROTOCOL_BINARY_RESPONSE_UNKNOWN_COMMAND | |
| PROTOCOL_BINARY_RESPONSE_NOT_SUPPORTED | |
| PROTOCOL_BINARY_RESPONSE_EBUSY |
Definition at line 36 of file Binary.hpp.


Planet Sick-Boy: http://www.sick-boy.com "We Put the SIN in Cinema"
© Copyright 2001 Planet Sick-Boy. All Rights Reserved.

Do me a favor treat your kids to a good film go rent Chicken Run
1:33 - PG for crude humor, language and comic violence
========== X-RAMR-ID: 29092 X-Language: en X-RT-ReviewID: 193766 X-RT-TitleID: 1105327 X-RT-SourceID: 595 X-RT-AuthorID: 1146
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


{% extends "learn/pages/special-topics-base.html" %} {% block lhs_toc %} Table of contents
{% endblock %} {% block center_content %}pandas
libraryBefore beginning this lesson, you will need to install and set up Jupyter notebook. Instructions for this are listed here, though they may vary slightly between systems.
To begin, open a terminal and run the following commands ($
represents the terminal prompt)
$ pip3 install --user numpy pandas jupyter
#( you'll see lots of install messages here )
$ jupyter-notebook
#( a new window should open in your browser like http://localhost:8888/tree )
In the top right of the web page that opened, click New → Python3 notebook. Type the following in the first cell of the notebook:
import pandas as pd
import numpy as np
print("Success!")
Hit the Run button in the toolbar. If you didn't get an error, great! You're all set for class. If you did get an error, send it to me, and I'll help you debug what's going wrong.
From here, you're ready to go through the interactive tutorial below. You may wish to play around in Jupyter first to get accustomed to how it works. It's extremely powerful and there are many features you may enjoy.
The tutorial for pandas is completely interactive! To go through the tutorial, first download this csv file which will be the input dataset, then download the iPython notebook here.
NOTE: I've recently added more content to the end of the tutorial to cover .join
, .merge
, and filtering out bad data. You will need to download two additional csv files here:
DISCLAIMER: I randomly generated the winery and wine names from /usr/share/dict/words
, so any resemblance to real-life wineries or wines is completely coincidental.


The 10 most extreme sports in the world, RANKED
Home
Ideas
life style
RESOURCES
fellows us
Welcome to our site
this site is for all extreme sports lovers
1- Volcano Boarding
2- Heli-Skiing
3- Base Jumping
4- Free Solo Climbing
5-Highlining
6-Paraskiing
7- Ice Climbing
8- Limbo Skating
9- Crocodile Bungee Jumping
10-Wing Walking


| Checkout and assembly of the Apollo 17 lunar module in a clean room of the Manned Spacecraft Operations Building. In the foreground, the Lunar Roving Vehicle is undergoing its final checkout (with Astronauts Schmitt and Cernan aboard) prior to being packaged and stowed into the descent stage of the lunar module. |
| The newly completed Launch Complex 39 attracted many VIPS. Here Petrone briefs President Johnson and Chancellor Ludwig Erhard of the Federal Republic of Germany in 1966 on the characteristics of the Mobile Launcher. |
| TV screens and display panels ablaze, Firing Room 2 of the Launch Control Center, adjacent to the VAB, is the hub of activity for the start of Apollo 6's unmanned Earth-orbit mission. Large wall screens show the Saturn V in readiness. |


- Introduction
-
Integrated Smart Estate
and Building Operation System - Bigbelly (Smart Bin) Pilot
-
Flexible Solar Organic
Photovoltaic Film - Autonomous Vehicle (AV)
-
Efficient Surface-cooled
Solar Panels -
Onsite Blackwater Water
Recycling System -
Hydrolysis-type De-scaling &
Deposit Removal System - RTE 1 MW Fuel Cell Plant
-
Building Wide
Monitoring System -
Integration of Electric Vehicle
Charging System & Pricing Signal - Memsys Clearwater
-
Intelligent Street
Lighting (LED) -
Thermal Energy Storage
Façade Test-bed
Singapore's first eco-business park, CleanTech Park, is an R&D and test-bedding site for early adoption of technology and solutions. Located beside the Nanyang Technological University, the 50-hectare Park was developed with emphasis on retaining the natural environment and biodiversity of the area and serves as a choice location for forward-looking corporations that embrace environmental sustainability.
This is a cloud-based system that allows JTC to centrally and remotely monitor, analyse and optimise estate and building systems on the facilities management front.
The system leverages data, analytics and sensors across our buildings and estates to provide insight into how the systems are operating, thus allowing JTC to make decisions to ensure optimal operations of the buildings’ systems, and essential and critical services. This in turn reduces energy usage, improves the comfort of JTC’s tenants and supports JTC’s productivity and efficiency in managing facilities.
18 Bigbelly Smart Bins are deployed across 6 locations in JTC’s premises including CleanTech Park. The Smart Bins are able to gauge waste levels and activate clearing of the bins only when they are full. This optimises the collection response time and reduces frequency for waste collection, thereby reducing the manpower required to clear the bins.
Lightweight and flexible Organic Photovoltaic (OPV) film can be integrated on the facades of buildings, offering a larger surface area for harvesting of solar energy beyond roof tops. This test-bed seeks to verify the commercial viability of the OPV technology and benchmark it to conventional silicone-based solar cells.
AV Trials
JTC is the first government agency in Singapore to allow the testing of AVs on a public road network. The trial site in the CleanTech Park offers opportunities to test and optimise the technical capabilities and infrastructural requirements necessary for AVs to operate safely on public roads. Test-bedding AVs in complex urban environments with changing traffic volumes and a myriad of driving behaviour allow self-driving algorithms to be further developed. This is crucial in order for the AVs to be validated in more complex environments in other parts of Singapore.
NAVYA Autonomous Vehicle
This test-bed is a partnership between JTC, Nanyang Technological University (NTU) and Induct Technologies on an autonomous electric shuttle. The autonomous vehicle by French driverless carmaker, NAVYA, can carry eight passengers. Currently plying the test route between CleanTech Park and NTU, this could pave the way for the integration of autonomous vehicles in Singapore’s transport system to address the “first mile, last mile” transport problem faced by cities.
Utilising technology from Singapore-grown startup Omega Solar, this test-bed seeks to supply power and hot water to JTC CleanTech One @ CleanTech Park while verifying if the system gives rise to improved performance of solar panels in terms of power output. The technology cools the temperature of solar cells through the use of a unique cooling system, while at the same time supplying thermal heating.
This test-bed seeks to recycle black water (waste water that contains faecal matter or human waste) into greywater (waste water not contaminated by faecal matter or human waste) for non-potable use within a building. The test-bed enables the testing and recycling of waste water from CleanTech Park, aiming to balance energy requirements while meeting building needs and regulatory requirements.
Cooling towers are used to cool circulating water for various applications, including chemical plants, oil refineries, and even buildings’ heating, ventilation and air conditioning systems. This test-bed involves a system that seeks to unconventionally treat cooling tower water non-chemically. Some outcomes of the System include water conservation, pollution prevention, and savings in operations and maintenance.
The test-bed involves the extraction of hydrogen from water using biomass waste and using it in fuel cells to meet energy needs at CleanTech Park. Success of the Plant could mean a sustainable source of energy for buildings.
Self-sustainable Microprocessor-based wireless sensor nodes are installed in CleanTech Park’s air quality monitoring and human comfort control systems. This project potentially reduces buildings’ energy consumption through smart sensor network technologies.
The project seeks to integrate pricing signals from the National Electricity Market of Singapore with electric vehicle charging infrastructure in car parks with the ultimate objective of integrating Demand Response capability with electric vehicle charging. This dynamic vehicle charging capability facilitates electricity demand management, whereby the electricity required by electric vehicles is dynamically priced according to market supply and demand conditions.
Led and executed by ERI@N, this is an A*STAR-MND project in collaboration with Memsys Clear Water Pte. Ltd. and Memsys TEC AG. The project uses membrane technology to design a liquid desiccant air-conditioning and dehumidification system, which is powered by solar energy. The system increases the efficiency of the air-conditioning system and has potential energy savings of 60%.
This is an alert system to feedback any anomalies detected during street lighting operations (i.e. main power failure), to shorten the turnaround time for repair works. The system also enables real-time monitoring and recording of the LED street lighting parameters such as energy consumption, voltage and current during its operations.
The test-bedding demonstrated energy savings of about 22 – 39% as compared to using conventional High Pressure Sodium (HPS) lamps.
The project seeks to validate the idea that prefabricated façades containing water shielding can harness solar radiation. The test-bed saw 6 Thermal Energy Storage Façades being installed at a west-facing staircase wall at CleanTech One. Results concluded that it was effective as a solar heat shield and the insulation would contribute to energy savings for air-conditioning. The project will be further developed for commercialisation.


---
layout: default
needs_bokeh: true
title: Deep Classiflie Model Prediction Explorer
permalink: /pred_explorer
---
{% include bokeh_viz/stmt_explorer_script.html %}
{% include bokeh_viz/global_metrics_tag.html %}
{% include bokeh_viz/local_metrics_tag.html %}
Select desired test sample filters
[2]:
{% include bokeh_viz/radio_grps_tags.html %}
Word increased prediction of "falsehood" label
Word increased prediction of "falsehood" label absence
{% include bokeh_viz/word_importance_tag.html %}
Filtered Test Samples:
{% include bokeh_viz/null_stmt_tags.html %}
{% include bokeh_viz/stmt_table_tag.html %}


Hello! I am Shivam Goyal.
I've experience in various programming technologies including
Flutter, Firebase, Google Cloud, Data Analysis, JavaScript, C / C++ & Git VCS
Work Experience
Machine Learning & Flutter Dev Intern
Enappd Technologies India Private Limited, Bengaluru IN
04/06/2019 - 19/07/2019
• Worked on a Full Stack Flutter App starter/template containing 50+ screens.
• Increased sales of the existing products to 1.3x by optimizing the company’s SEO.
• Deployed a Machine Learning model to generate DSL/Markup
code from minimal GUI Designs of an iOS/Android App.
• Wrote blogs on various aspects of Flutter App Development with a reach to 25K+ audience.
Education
B.E. Computer Engineering
Thapar Institute of Engineering & Technology, Patiala
07/2018 - Present
Twelfth
Divine Educational Institute, Sikandrabad (CBSE)
2015 - 2017
Tenth
Divine Educational Institute, Sikandrabad (CBSE)
2013 - 2015
Positions of responsibility
Technical Secretary
IEEE Student Branch, Thapar Institute
01/2020 - Present
Deputy Technical Head
IEI Students' Chapter , Thapar Institute
02/2019 - Present
Overall Event Cordinator
Orion'19 TechFest, Thapar Institute
04/2019 - 10/2019


新闻与传播学院海外学者短期讲学课程《政治传播》
【课程名称】政治传播 Political Communication
【课程号】Y0670161
【学时】16学时
【学分】1学分
【上课时间】
11月19日（周六） 13:30-16:55（4课时）
11月20日（周日） 13:30-16:55（4课时）
11月21日（周一） 18:30-20:05 (2课时)
11月22日（周二） 13:30-16:55（4课时）
11月23日（周三） 18:30-20:05（2课时）
【上课地点】宏盟楼214，仅11月21日（周一）上课地点为环球资源厅。
【考核方式】
• One essay of 5000-6000 words: 80%
• Class participation and attendance 20%
【授课对象】博士研究生、硕士生
【授课人数】20人
【授课语言】英文
【课程简介】
In the contemporary era, state and state institutions, corporate organizations, and pressure groups are competing for space in the media in their pursuit of legitimacy, organizational interest, or attention. Understanding the complex process through which this occurs requires knowledge of the techniques of political communication. The terms “propaganda”, “public relations” (PR), “persuasion” and “public diplomacy” can also be used to describe this phenomena. The study of the relationship between the media and the various forms of guided communications takes us closer to understanding of some of the key concerns and debates about changing media relations to wider structures and systems of power in society.
In this course students will be looking at the history and nature of government- directed intercultural communication, propaganda, and other aspects of political communication by close examination of case studies in different historical moments as well as the contemporary era. A key aim of the course is to equip students with critical skills to enable them to analyse media texts in relation to propaganda, public relations, and other means to mould public opinion, and to further reflect on theories of media and power in society.
【课程目标】
1、Develop an understanding of key terms and concepts such as propaganda, public diplomacy, political communication, transcultural communication, Public Relations, Spin, persuasion, legitimacy, ideology, hegemony etc.
2、Develop skills and competence in analysing media texts in relation to transcultural communication, political communication, persuasion, propaganda and PR.
3、Develop an understanding of current debates on transcultural communication, political communication, propaganda and PR in contemporary society.
4、Understand how changing media technologies as well as changes in structure of society are raising further questions about existing models of media and power in society.
5、Have improved their ability to communicate using written and oral English in an academic environment.
【教师简介】
新西兰坎特伯雷大学语言、社会与政治科学学院，政治与国际关系学系Anne Marie Brady（安琳）教授。安琳教授的研究方向是中国的国内政治和外交政策以及两极政治。她的普通话流利，用中文完成了政治学和国际关系的双专位。
安琳教授在奥克兰大学就师从John Minford，并在澳大利亚国立大学跟随博士生导师Geremie R. Barmé和W.J.F Jenner完成了博士学位。她的研究兴趣十分广泛，涉及冷战、能源、南北极、亚洲、中国大陆、日本、朝鲜、南亚、韩国、东南亚和台湾。
安琳教授近期的著作包括：《让外国服务中国：管理好在中国的外国人》,《市场专制：当代中国的宣传和思想工作》，《向北看，往南看——中国，台湾和南太平洋》，《中国的思想管理》，《南极洲的新兴政治》和《中国，世界力量的一极》。
Anne-Marie researches Chinese domestic and foreign politics and polar politics. She is editor-in-chief of The Polar Journal, and has published ten books and more than forty scholarly papers on a range of issues including China’s strategic interests in the Arctic and Antarctic, China’s modernised propaganda system, New Zealand-China relations, NZ foreign policy and competing foreign policy interests in Antarctica. She is a fluent Mandarin speaker with dual majors in Chinese, Political Science and International Relations. At Auckland University she studied with John Minford and at Australian National University her doctoral supervisors were Geremie R. Barmé and W.J.F Jenner. All three instilled in her an acute ear for the political use of language and a deep respect for primary sources.
Anne-Marie is a Global Fellow at the Woodrow Wilson Centre in Washington DC, a non-resident Senior Fellow at the China Policy Institute at the University of Nottingham, and a member of the Council on Security Cooperation in the Asia-Pacific. In 2014 she was appointed to a two-year term on the World Economic Forum's Global Action Council on the Arctic.
Her recent publications include: Making the Foreign Serve China: Managing Foreigners in the People's Republic (Rowman and Littlefield, 2003), Marketing Dictatorship: Propaganda and Thought Work in Contemporary China (Rowman and Littlefield, 2008), Looking North, Looking South: China, Taiwan, and the South Pacific (World Scientific, 2010), China's Thought Management (Routledge, 2012), The Emerging Politics of Antarctica (Routledge, 2013) and China as a Polar Great Power (Cambridge University Press and Wilson Press, 2017).
【联系人】崔力
【联系电话】18811367735
本课程采取手动选课方式，感兴趣的同学请于2016年11月17日之前通过邮件向联系人报名或于第一次上课时（2016年11月19日下午13:30）课堂上现场报名。建议选课同学尽量通过邮件报名，以便提早接收课程阅读材料。
报名时请于邮件主题注明“海外短期讲学课程报名”，并写明个人信息、包括姓名、学号、所在院系、学生身份（博/硕）、常用邮箱、手机号码，以便联系及登录成绩。
新闻与传播学院
2016.10.20


| Overview | Module | Use | Devguide | Index |
| Methods' Summary | Attributes' Summary | Methods' Details | Attributes' Details |
:: com :: sun :: star :: animations :: |
|||
|
|||
|
|||
|
| Attributes' Summary | |
| TransformType |
| Attributes' Details | |
TransformType
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Add these foods to your keto diet plan and stay healthy!
by TIMESOFINDIA.COMWhat is ketosis
The keto diet has become one of the most followed diet fads, and the discipline is being adopted by more and more people with the passing of each day. The notion that it quickens the process of weight loss seems to have resonated well in the minds of people, and results do seem to show a positive impact. The keto diet is based on the state of ketosis, which is a metabolic state wherein the body converts fat reserves into energy instead of carbohydrates, thus burning fat more efficiently and at a faster rate.
The keto diet
The ketogenic diet consists of foods in which 75% of the calories are derived from fats, 20% from protein, and 5% from carbohydrates. Since most of the calories are obtained from fats, the body will enter a state of ketosis and end up burning more calories. There are many kinds of food that are included in a keto diet, such as animal products like eggs and chicken, dairy products like cottage cheese, and fruits like avocado. Today, we will look at 5 vegetables that you must include as a part of your keto diet.
Broccoli
Half a cup of broccoli has just 2 grams of net carbs, and a majority of the calories comes from protein and fats. It is loaded with nutrients and contains fiber, which helps you lose weight by keeping you full for longer.
Cauliflower
With just 1.5 grams of carbs in half a cup of cauliflower, it makes for an excellent low-carb addition to your keto diet. Moreover, it is rich in vitamin C and folic acid, so you get an extra boost of nutrients.
Mushrooms
One serving of mushrooms has 20 calories, and just 2 grams of net carbs and 3 grams of protein. The rest is all fat, so it works well to provide your body with the fat needed to be used as energy. It also packs a healthy dose of nutrients and even boosts immunity.
Spinach
Apart from containing just 4 grams of net carbs per cup of fresh leaves, spinach is loaded with 6 grams of fiber, something that helps in increasing satiety. Spinach is also packed with vitamins and minerals, making for a healthy and keto-friendly vegetable.
Tomato
Tomato makes for an easy addition to not just to for a keto diet, but for most diets in general. Used as a taste enhancer in salads, as a part of vegetables and in gravies, tomatoes are everywhere. A medium sized tomato contains just 20 calories and 4 grams of net carbs.


[Contents] [Back] [Prev] [Up] [Next] [Forward]
The principal entry for each term, procedure, or keyword is listed
first, separated from the other entries by a semicolon.
Jump to:
-
!
-
#
-
'
-
(
-
*
-
+
-
,
-
-
-
.
-
/
-
;
-
<
-
=
-
>
-
?
-
`
-
a
-
b
-
c
-
d
-
e
-
f
-
g
-
h
-
i
-
k
-
l
-
m
-
n
-
o
-
p
-
q
-
r
-
s
-
t
-
u
-
v
-
w
-
z
...
!, !
#b, #b
#d
#e, #e
#f
#i, #i
#o, #o
#t
#x, #x
', '
'<datum>
(<operator>
(do
(make-vector, (make-vector
(vector-ref
*, *, *
+, +, +, +, +, +, +
,, ,
-, -, -, -, -
->, ->
...
/, /, /, /, /
;
<, <
<=, <=, <=
<constant>
<variable>
=, =, =, =
=>
>, >
>=, >=
?, ?
`
`<template>
a compatible low-level macro facility
abs, abs, abs
acknowledgements, acknowledgements
acos, acos
alphabetic index of definitions of concepts, keywords, and procedures
and, and, and
angle, angle
append, append
appendix: macros
apply, apply
approximate
asin, asin
assignments
assoc, assoc
assq, assq
assv, assv
at-sign
atan, atan, atan
background
backquote
basic concepts
begin, begin, begin, begin, begin
bibliography
binding
binding construct
binding constructs
binding syntactic keywords
boolean?, boolean?, boolean?
booleans
bound
bound-identifier=?
caar
caddr
cadr
call
call by need
call-with-current-continuation, call-with-current-continuation, call-with-current-continuation
call-with-input-file, call-with-input-file
call-with-input-port
call-with-output-file, call-with-output-file
call-with-output-port
call/cc
car, car, car
case, case, case
catch
cdddar
cddddr
cdr, cdr, cdr
ceiling, ceiling
char->integer, char->integer
char-alphabetic?
char-ci<=?
char-ci<?
char-ci=?
char-ci>=?
char-ci>?
char-downcase, char-downcase
char-lower-case?
char-numeric?
char-ready
char-ready?, char-ready?, char-ready?
char-upcase, char-upcase
char-upper-case?
char-whitespace?
char<=?, char<=?
char<?, char<?
char=?, char=?, char=?
char>=?
char>?
char?, char?
characters
close-input-port
close-output-port
combination
comma
comment, comment
complex?, complex?, complex?
cond, cond, cond
conditionals, conditionals
cons, cons
constant, constant
construct-identifier
continuation
control features
cos
current-input-port, current-input-port, current-input-port, current-input-port
current-output-port, current-output-port, current-output-port, current-output-port
d
define, define
define-syntax
definition
definitions
delay, delay, delay
delayed evaluation
denominator
derived expression types, derived expression types
disjointness of types
display, display, display
do, do, do, do, do, do
dotted pair
e
else, else
empty list
entry format
eof-object?
eq?, eq?, eq?, eq?
equal?, equal?, equal?, equal?
equivalence predicate
equivalence predicates
eqv?, eqv?, eqv?, eqv?, eqv?, eqv?, eqv?, eqv?
error
error situations and unspecified behavior
escape procedure
essential
essential and non-essential features
evaluation examples
even?
exact
exact->inexact, exact->inexact
exact?
exactness
example
exp
expressions, expressions
expt
external representations, external representations
f
false, false
floor, floor
foo
for-each, for-each, for-each
force, force, force, force, force
formal semantics
formal syntax
formal syntax and semantics
free-identifier=?
gcd
gen-counter
gen-loser
generate-identifier, generate-identifier
hygienic
identifier, identifier, identifier, identifier
identifier->symbol
identifier?
identifiers
if, if, if, if, if
imag-part, imag-part
immutable
implementation restriction, implementation restriction
implementation restrictions
improper list
inexact
inexact->exact, inexact->exact, inexact->exact
inexact?
initial environment
input
input and output
input-port?
integer->char, integer->char, integer->char
integer?, integer?
integrate-system
internal definition
internal definitions
introduction
iteration
keyword, keyword, keyword, keyword
l
lambda, lambda, lambda, lambda
lambda expression
lambda expressions
language changes
last-pair
lazy evaluation
lcm
length, length
let, let, let, let, let, let, let, let
let*, let*, let*, let*
let-syntax
letrec, letrec, letrec, letrec, letrec
letrec-syntax
lexical conventions
lexical structure
list, list
list->string, list->string
list->vector, list->vector, list->vector
list-ref
list-tail, list-tail
list?, list?
literal expressions
load, load
location
log, log
macro
macro keyword
macro transformer
macro use
magnitude, magnitude
make-polar, make-polar
make-promise
make-rectangular, make-rectangular
make-string, make-string, make-string
make-vector, make-vector
map, map, map, map
map-streams
max, max
member, member
memq, memq
memv, memv, memv
min, min
modulo, modulo
mutable
naming conventions
negative?
newline, newline
nil, nil
not, not
notation and terminology
notes
null?
number
number->string, number->string, number->string, number->string
number?, number?, number?, number?
numbers
numerator
numerical input and output
numerical operations
numerical types
object
odd?
open-input-file
open-output-file
or, or, or
other notations
output
output-port?
overview of scheme
pair
pair?, pair?, pair?
pairs and lists
pattern language
peek-char, peek-char, peek-char, peek-char
port
ports
positive?
predicate
primitive expression types
procedure call
procedure calls
procedure?, procedure?, procedure?
program structure
programs
programs and definitions
promise, promise
quasiquotation
quasiquotations
quasiquote, quasiquote, quasiquote, quasiquote
quote, quote, quote
quotient, quotient
rational?, rational?, rational?
rationalize, rationalize, rationalize
read, read, read, read, read, read, read, read
read-char, read-char, read-char
real-part, real-part
real?, real?, real?
referentially transparent
region, region, region, region
remainder, remainder
return
reverse
round, round
runge-kutta-4
s
semantics
sequence
sequencing
set!, set!, set!, set!
set-car!, set-car!, set-car!
set-cdr!, set-cdr!
simplest rational
sin
sqrt, sqrt
standard procedures
storage model
string
string->list, string->list
string->number, string->number, string->number, string->number
string->symbol, string->symbol
string-append
string-ci<=?
string-ci<?
string-ci=?, string-ci=?
string-ci>=?
string-ci>?
string-copy
string-fill!
string-length, string-length
string-ref, string-ref, string-ref
string-set!, string-set!, string-set!, string-set!
string<=?
string<?, string<?
string=?, string=?
string>=?
string>?
string?, string?
strings
substring, substring
summary
symbol->string, symbol->string, symbol->string
symbol?, symbol?
symbols
syntactic keyword, syntactic keyword, syntactic keyword, syntactic keyword
syntax, syntax
syntax of numerical constants
syntax-rules
system interface
t
tan
template, template
token
top level definitions
top level environment, top level environment
transcript-off, transcript-off
transcript-on, transcript-on
true, true, true, true
true and false
truncate, truncate
type
unbound, unbound, unbound
unquote, unquote
unquote-splicing, unquote-splicing
unspecified
unwrap-syntax
valid indexes, valid indexes
variable, variable, variable, variable
variable references
variables and regions
vector
vector->list, vector->list
vector-fill!, vector-fill!
vector-length, vector-length
vector-ref, vector-ref, vector-ref
vector-set!, vector-set!
vector?, vector?
vectors
whitespace
whitespace and comments
with-input-from-file, with-input-from-file
with-output-to-file, with-output-to-file
write, write, write, write, write, write
write-char, write-char, write-char
zero?, zero?
[Contents] [Back] [Prev] [Up] [Next] [Forward]


angularnodeemssimulation
GLOBAL
DETAILS
>
get request
STATISTICS
Executions
Total
OK
KO
Mean req/s
Response Time (ms)
Total
OK
KO
Min
50th percentile
75th percentile
95th percentile
99th percentile
Max
Mean
Std Deviation
ERRORS
Error
Count
Percentage
java.net.ConnectException: No route to host
0
200
100 %


{% extends "base.html" %} {% block content %}
This is a sample chart using Python's bokeh library.
The bokeh plot is stored statically in this case for demo purposes, but in a real application a bokeh server would be used to serve the content.