Reviewerly/exHarmony huggingface dataset:
Robust Feature-Based Automated Multi Viewhuman Action Recognition System Using Machine Learning

Automated human action Recognition has the potential to play an important role in Public security. In this project it compares three practical, reliable and generics systems for multiview video based human action recognition namely the nearest classifier, Gaussian mixture model classifier and nearest mean classifier.
Library Guides: Hate: Home

This guide provides information on hate in our society. It focuses upon online hate and strategies for dealing with it.
Stock Market Analysis using a combination of Textual Data and Numeric Time-Series

This study identifies the feasibility of predicting stock market using the combination of Sentiment Analysis and Linear Regression. The factors on which the stock market depends were identified and then a consolidation of these factors was constructed to build up a prediction model. This prediction model incorporated both textual data from news articles published by authentic sources as well as numerical data of various economic identifiers. To analyze the textual data, Naive Bayes Classifier and Lexicon based Sentiment Analysis was carried out and for numerical values, data analysis was performed using linear regression techniques to obtain optimal results. This model computed MMRE of 0.1561. Lastly, a combination of identifiers that worked the best for prediction of stock values was computed and therefore, prioritized.
Deep-learning optics

In the first part of this presentation, we will discuss recently emerging applications of the state-of-art deep learning methods on optical microscopy and microscopic image reconstruction, which enable image enhancement and new transformations among different modalities of microscopic imaging, driven entirely by image data. In this second part, we introduce a physical mechanism to perform machine learning by demonstrating a Diffractive Deep Neural Network architecture that can all-optically implement various functions following the deep learning-based design of passive layers that work collectively. We created 3D-printed diffractive networks that implement classification of images of handwritten digits and fashion products as well as the function of an imaging lens at terahertz spectrum. This passive diffractive network can perform, at the speed of light, various complex functions that computer-based neural networks can implement, and will find applications in all-optical image analysis, feature detection and object classification, also enabling new camera designs and optical components that perform unique tasks using diffractive neural networks.
Deep Switch Networks for Generating Discrete Data and Language

Multilayer switch networks are proposed as artificial generators of high-dimensional discrete data (e.g., binary vectors, categorical data, natural language, network log files, and discrete-valued time series). Unlike deconvolution networks which generate continuous-valued data and which consist of upsampling filters and reverse pooling layers, multilayer switch networks are composed of adaptive switches which model conditional distributions of discrete random variables. An interpretable, statistical framework is introduced for training these nonlinear networks based on a maximum-likelihood objective function. To learn network parameters, stochastic gradient descent is applied to the objective, and is stable until convergence. This direct optimization does not involve back-propagation over separate encoder and decoder networks, or adversarial training of dueling networks. While training remains tractable for moderately sized networks, Markov-chain Monte Carlo (MCMC) approximations of gradients are derived for deep networks which contain latent variables. The statistical framework is evaluated on synthetic data, high-dimensional binary data of handwritten digits, and web-crawled natural language data. Aspects of the model's framework such as interpretability, computational complexity, and generalization ability are discussed.
Crime pattern recognition in Chicago city using hadoop multinode cluster

Crimes are a social annoyance and harm our society very much in many ways. In this paper we have designed a Map Reduce algorithm to aid in the process of identification of crimes in Chicago city at different levels of abstractions. Analysis is divided into three phases. Twenty-nine different kinds of crimes have been identified in Chicago city in the first phase. In the second phase crimes are segregated into four zones namely east, west, south and north. In the third phase frequency of crime at specific location is determined. We have used approximately 40 GB of crime data from Chicago Crime Portal. The finding of this research is helpful for law enforcement officers, police and other law practitioners to improve the productivity and substantially sublime the policies so that a significant decrease in crime can be seen. The paper also compares the efficiency of multimode hadoop clusters of different sizes.
CRA: A Common Runtime for Applications

Today, a modern data center hosts a wide variety of applications comprising batch, interactive, machine learning, and streaming applications. A large majority of these applications can be abstracted as a “distributed dataflow” graph. Even though this commonality exists and can be exploited in the applications’ design and implementation, each application is typically written from scratch, resulting in significant inefficiencies in developer productivity. In this paper, we factor out the commonalities for many types of big data applications, into a generic dataflow layer called Common Runtime for Applications (CRA). In parallel, another trend, with containerization technologies, has taken a serious hold on cloud-scale data centers, with direct implications on the design, implementation, and deployment of next-generation of data-center application. Container engines (e.g., Docker and CoreOS) and cloud-scale container orchestrators (e.g., Kubernetes and Docker Swarm) are two important technologies that enable this trend. Container orchestrators have made deployment a lot easy, and they solve many infrastructure level problems, e.g., service discovery, auto-restart, and replication. For best in class performance, there is a need to marry the next generation applications with containerization technologies. To that end, CRA leverages and builds upon containerization and resource orchestration capabilities of Kubernetes/Docker, and makes it easy to build a wide range of cloud-edge applications on top. To the best of our knowledge, we are the first to present a cloud native runtime for building data center applications. To show the practicality of our approach, we built a distributed analytics engine on top of CRA, namely Quill. We show through in-depth micro- and macro-benchmark results, that CRA provides significant performance improvement over an unoptimized implementation on modern cloud platforms. CRA is available as open source, and can be downloaded at https://github.com/Microsoft/CRA.
TECHNOPHOBIA AS A CULTURAL AND PSYCHOLOGICAL PHENOMENON

Today we can talk about a sufficient formation of both negative and positive attitudes towards the introduction of new technologies. This is the technophobia that continued to be fueled by such objective factors as job slashing caused byevents and new inventions. Technophobia includes cognitive, emotional and behavioral components. Along with individual factors (self-efficacy, open-mindedness, anxiety level, user’s experience, emotional state, etc.), the formation of technophobia is influenced by interpersonal factors (communication with colleagues, friends and relatives on the subject of technologies), group and ntergroup factors (clash of interests of different relevant groups in connection with the appearance of new technologies, group stereotypes –representations of typical users of the given technology, its developers, etc.), as well as societal factors (mass culture and mass media, the level of technological and economic development of a country, cross-cultural features).In this way, this is an increasingly important phenomenon, since the speed of innovation is very high. Thus, the purpose of this study is to present a theoretical analysis on this subject and to highlight the importance of conducting other research on this subject.
A Real-time Moving Target Following Mobile Robot System with Depth Camera

An intelligent system that could obtain a certain moving target human and could follow the target in real-time by a mobile robot could be widely applied in manufacturing as assistant or service industry to provide a human robot interaction experience. In this work, an improved efficient human following algorithm for a mobile robotic system is proposed. The system consists by a mobile robot and a depth camera which overcomes target scale variation, missing and occlusion. An improved three-dimensional tracking method is presented with the depth camera. Besides, the depth camera also provides information to avoid obstacles in robot's path. The omnidirectional mobile robot in the system provides a flexible and fast motion responding solution. In the experiments, the proposed system is tested in different scenes and the results show the reliability of the 3D tracking system in terms of accuracy and robustness to the environment.
The Online 'othering' of transgendering and non-binary people

In this chapter we provide an exposition and critical analysis of some ways in which transgender people are ‘othered’ online and attempts to resist or challenge this. This is achieved through the discursive analysis of 1756 online comments made in response to ten YouTube videos concerning ‘gender neutral toilets’. Three themes were developed: ‘Gender neutral toilets as sites of sexual danger’; ‘Claiming victimhood: Gender neutral toilets as undermining the rights of cisgender people’; and ‘The delegitimisation and othering of transgender people’. The theme on delegitimisation and othering is elaborated in detail. It consists of subthemes concerning the invocation of nature and biology to construct transgender people as challenging the given order; the mobilisation of religious and moral values and norms; the delegitimisation of transgender people by constructing them as psychopathological; and the construction of transgenderism as a ‘modern trend’ created by media and social media. The discursive resources used in othering transgender people overlap with those that have long been used in the offline denigration of sexual minority groups. We conclude that sexual and gender non-conformity is responded to with a limited set of tropes that delegitimise and other non-conforming people in culturally recognisable ways. We note that the framing of effective resistance to anti-transgender, othering online talk is not straightforward but calls for creative, evidence-based, contextually-informed discursive labour.
Semantic Web, definition, history and characteristics

It is an extension of the current Web; the information gets a definite meaning that allows computers and people to work in cooperation
Enhanced Multi-factor Out-of-Band Authentication En Route to Securing SMS-based OTP Ariel

Validation of user’s authenticity through authentication played a crucial role to address risks and security issues in today's connected world. Among different authentication methods, OTP sent via SMS was identified as the most commonly used multi-factor authentication mechanism. However, studies have shown that it has not remained attack-proof. It has been branded to be vulnerable to SMiShing, a technique comparable to Internet phishing, and Eavesdropping accomplished through keylogging, screens capturing, shoulder surfing and other social engineering practices. This study introduced an innovative approach to secure SMS-based OTP against its threats through OTP encryption using modified Blowfish algorithm. A mobile application was also employed for capturing and processing encrypted SMS-based OTP to produce new OTP for verification, thus performing end-to-end OTP. Experimentation results and analysis revealed that the proposed architecture was free against the said vulnerabilities and promote tighter security, making it a good alternative for SMS-based OTP multi-factor authentication.
World Wide Web - WWW meaning, history and origin

The World Wide Web known as the Web, is a system of hypertext documents linked together on the Internet accessible through browsers
Sending data to the server

From this moment we will begin to interact with data and HTML codes in a broader way. We have just seen how the function print or the command echo are able to write, in the HTML code of a page, some data that was stored in a variable
Visual Analysis for Graphs, Networks and Flows

Graphs and flow networks are important mathematical concepts that enable the modeling and analysis of a large variety of real world problems in different domains such as engineering, medicine or computer science. The number, sizes and complexities of those problems permanently increased during the last decades. This led to an increased demand of techniques that help domain experts in understanding their data and its underlying structure to enable an efficient analysis and decision making process.To tackle this challenge, this work presents several new techniques that utilize concepts of visual analysis to provide domain scientists with new visualization methodologies and tools. Therefore, this work provides novel concepts and approaches for diverse aspects of the visual analysis such as data transformation, visual mapping, parameter refinement and analysis, model building and visualization as well as user interaction.The presented techniques form a framework that enriches domain scientists with new visual analysis tools and help them analyze their data and gain insight from the underlying structures. To show the applicability and effectiveness of the presented approaches, this work tackles different applications such as networking, product flow management and vascular systems, while preserving the generality to be applicable to further domains.
What is the Google PageRank - How their rules work

When Larry Page and Sergey Brin decided to organize all the information on the network they established a basic concept in their algorithm: the links
SEO Search Engine Optimization

The SEO technique must make an analysis and modifications in the Web page at the level of contents, titles, labels, codes, design and accessibility
Domain name - Definition, tips and examples

Choosing the right name for a Web page is a process similar to creating a brand. You must perfectly understand your company, project or idea
Content on Web pages - Design, writing, and language

The content will depend directly on the theme of the Web. Most users who visit a website do so in search of information
Sending data through forms

Another method to send variables to the server is the typical data entry form, in which a person writes something in their browser, while viewing the form on their screen
Superglobal arrays in PHP

It is an array that stores all the variables that have been sent to the server attached to a link
A Study of Physical Factors Affecting Flood Susceptibility in Khlong Nathawi Subbasin Using Multiple Logistic Regression Model

This research aims to study the physical factors affecting flood and formulate the flood susceptibility map in Khlong Nathawi subbasin by using Multiple Logistic Regression Model. The study indicated that physical factors caused of flooding were only 6 factors: 1) slope 2) land use and cover 3) soil drainage capability 4) distance from drainage 5) stream network density and 6) road network density which were sufficient to contribute the flood susceptibility map. The results also revealed that the success rate curve and prediction rate curve were 0.9191 and 0.9323, respectively. Flood susceptibility index values were divided into five classes. The classes affecting flood susceptibility were the highest and the high range that covering 120.18 square kilometers or 7.91% of the area. According to flood susceptibility index overlay with the flood plain from 2007 to 2017 and 2018, it illustrated that the real flood events happened in the highest susceptibility range with 60.18 square kilometers (57.63%) and 20.24 square kilometers (68.58%) respectively. Keywords : physical factors, flood susceptibility, Khlong Nathawi Subbasin, Multiple Logistic Regression
HTML History - Origin and evolution of the Web hypertext

The first document Web created by Tim Berners-Lee published in 1991 with the name HTML Tags, was the hypertext system to share documents
Teaching Chinese Language through Immortal Songs Comparing to Vietnamse Language

Foreign languages in general and Chinese in particular has an important role in the context which the world has been developing continuously. Understanding and using this language eloquently will make learners have more chances to exchange culture, absorb new knowledge as well as present thoughts and views in a comfortable way. This paper mentions the reality of teaching and learning Chinese and the ways to upgrade the education quality through training practicing immortal songs as well as comparing to Vietnamese language. The article was completed with the assistance of 30 learners who are studying Chinese at some foreign language centers in Ho Chi Minh City during July of 2018 and it showed that learning process will be much more interesting and easier when listening to music. &#x0D; &#x0D; &#x0D; &#x0D;
DOCTYPE HTML5 Definition of Document Type What is it

When you are designing a Website, it is indicated by a code called DOCTYPE html (Document Type Definition DTD), which is placed at the beginning of the HTML document
HTML Lists - Without unordered ul, order ol & definition dl

There are three types of lists in HTML that allow us to organize the information: numbered lists, disordered lists and lists of definition
Web Positioning SEO in Search Engines

Search engine optimization consists of using optimization techniques in Web sites, to position your website in the first results
Relationship between Brand Personality and Management of Economics in Iraq

Through current research is intended disclosure to investigate the relationship and influence between the Brand Personality through the supply chain process. The research problem is identified in key question, Do brand personality play a role in arousing or creating a state of supply chain process with the customer, where consisted of two basic questions. But in order to confirm the hypothesis president underwent multiple tests to ensure their validity. The research use questionnaire to collect data. The data was analyzed using a variety of statistical methods and extracted results using statistical program SPSS v.20. The main conclusions of research is the responses of the research sample varied to the variable of brand sincerity by the sense of joy when dealing with that brand in addition to the benefit of its use. The key recommendations is marketing managers should take an interest in the idea of brand personality because it helps to differentiate the mark by developing the consumer's emotional aspects.
Natural or organic positioning in SEO search engines

To appear in the top positions of search engines, it is convenient to consider a series of key pieces in the development of content
History, origin and evolution of the PHP language

And so we come to an autumn afternoon in 1994, in which an unemployed Danish programmer based in Toronto (Canada), Rasmus Lerdof, gets down to work writing a small CGI in Perl to help him count the visits that arrive at his curriculum vitae, saving this value in a MySQL database
Difference between Internet and Web - WWW and its services

The Internet is a network of connected devices that covers the entire world. The Web is a service that supports it, such as browsers, emails, FTP, etc
Web Usability - What is it and why is it so important?

The usability is a feature that measures how intuitive and easy to use is a web page for the common user
Development of Android Cooking Game on Indonesian Cuisine

The video game industry can be said to be one of the more modern undying industries that are ever growing and evolving. In Indonesia, there are several game development companies, however, there is currently no game that utilizes Indonesian cuisine as the main theme. It is also noted that there have been no recent cooking games that are unique nor a sequel. Currently, there is a gap in which consumers are not playing cooking games although they enjoy them. As a result, the author attempts to develop a game that can reach users’ expectations for a modern Android cooking game. Users were tested in two phases. Before the development, users were asked to rate their expectations of a cooking game and the current competition. After the development of the game, users were given the beta to test and rate their evaluation of the application. Based on the results of the two surveys, the game has achieved the results desired in the beginning of the project development.
Process of registration in Search Engines

The engine registration technique helps to appear in queries made by users and increase the traffic of visits to a website
Key steps in creating a website

The company must be aware that the development and management of the Site requires a shared commitment with the project development staff
Website evaluation and optimization

To achieve a good Web design on the Internet, some factors must be considered to achieve Internet positioning and adequate visibility
Methodology for the Creation and Development of Websites

The elaboration of Web pages includes the phases of Analysis, Planning, Content, Design, Programming, Testing, Marketing and Advertising
Analysis and Improvement of Chinese Index Technology of Open Source Search Engine Nutch

It is difficult for computer to correctly understand Chinese language, because Chinese is a very complicated language. Therefore, there are many problems existing in Chinese search technology. This paper focuses on solving the defects of Chinese words segmentation technology. Proposes an algorithm which is named as Chinese word segmentation system based on two-way maximum matching. Applies the algorithm into Nutch search engine, testing results shows that the proposed algorithm improved the abilities of Nutch system in Chinese processing.
Creating the first database with phpMyAdmin in MySQL

In order to create our first database, we can interact with phpMyAdmin. In case you have used the XAMPP, EASYPHP or APPSERV the URL that we write will be