Reviewerly/exHarmony huggingface dataset:
Biased face patching approach for age invariant face recognition using convolutional neural network

In recent years, a lot of interest is observed among researchers; in the domain of age invariant face recognition. The growing research interest is due to its commercial applications in many real-world scenarios. Many researchers have proposed innovative approaches to solve this problem, but still there is a significant gap. In this paper, we propose a novel technique to fill in the gap, where instead of using a whole face of a person, we use horizontal and vertical face patches. Two different feature vectors are obtained from these patches using convolutional neural networks (CNN). Then fusion of these two feature vectors is done using weighted average of features of both patches. Lastly, SVM is used as a classifier on the fused vector. Two publicly available datasets, FGNET and MORPH (album 2) are used for testing the performance of the system. This novel approach outperforms the other contemporary approaches with very good rank-1 recognition rate, on both datasets.
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks.

Several real-world applications are characterized by data that exhibit a complex structure that can be represented using graphs. The popularity of deep learning techniques renewed the interest in neural architectures able to process these patterns, inspired by the Graph Neural Network (GNN) model. GNNs encode the state of the nodes of the graph by means of an iterative diffusion procedure that, during the learning stage, must be computed at every epoch, until the fixed point of a learnable state transition function is reached, propagating the information among the neighbouring nodes. We propose a novel approach to learning in GNNs, based on constrained optimization in the Lagrangian framework. Learning both the transition function and the node states is the outcome of a joint process, in which the state convergence procedure is implicitly expressed by a constraint satisfaction mechanism, avoiding iterative epoch-wise procedures and the network unfolding. Our computational structure searches for saddle points of the Lagrangian in the adjoint space composed of weights, nodes state variables and Lagrange multipliers. This process is further enhanced by multiple layers of constraints that accelerate the diffusion process. An experimental analysis shows that the proposed approach compares favourably with popular models on several benchmarks.
Design of hand skeleton extraction accelerator for a real-time hand gesture recognition

Applications such as automobiles, robots and games require a real-time operation in embedded systems. However, since the accurate hand gesture recognition requires a large amount of computation, it is difficult a real-time operation. In this paper, we propose a hand skeleton extraction accelerator for real-time hand gesture recognition. We analyze the hand gesture recognition algorithm to find the parts with high computational complexity and determine which routines that are difficult a real-time operation. And the hardware accelerator is implemented using HLS method for embedded system. Implemented hand skeleton extraction accelerator circuit was tested its operation using Xilinx’s Zynq-7000 FPGA (XC7Z020) device. Our circuit operates in real-time in an embedded system and recognition success rates is 86.8%.
IoT Enabled Detection of Suspicious Human Behavior for ATM Environment

Nowaday’s security is the main thing in all industries. The most serious thing facing the industries which provide financial services and the retail markets is ATM physical attack. The industry which provides financial services and the retail markets lose their lots of money due to physical attack. Today, however, ATMs give a considerable measure of administrations to the clients; they are still dominatingly utilized for their essential capacity of pulling back cash. ATM security is the main issue that has been addressed in the proposed work by studying current scenarios where the traditional way is to take actions after an attack has occurred. But using the CCTV cameras present in the ATM we can prevent these attacks from happening. We can take actions before an incident is going to happen. The proposed system is an attempt to analyze the human in the ATM with the various parameters mentioned in this paper and send alert to the respective entity utilizing IOT platforms if he/she found suspicious. So that actions can be taken before the loss.
THE USE OF INFORMATION TECHNOLOGIES IN PHYSICAL SPECIALTIES STUDENTS’ SELF-INDEPENDENT WORK

The problems of introducing information technologies in the system of higher education as one of the main directions to the increase of specialist’s training efficiency are discussed in the article. The authors note the importance of using the information technologies being potential, which is one of the means for increasing educational, cognitive and research activities of students as a part of their self-independent and individual work. They emphasize the didactic and methodological functions of information technologies training in improving the results of students’ self-independent work.Researches of native and foreign scientists on the problems of using modern information technologies in the educational process of Physics at higher education institutions are analysed. The article substantiates the expediency of using the Mathcad software environment for the formation of Theoretical Physics problem solving skills in the system of future teachers’ of Physics training. The paper gives us the examples of tasks from the course of classical and the basics of continuum mechanics for self-independent work and examples of their solutions by means of using the mathematical Mathcad package.Besides, the article describes pedagogical experiment on the organization of students’ self-independent work at Pavlo Tychyna Uman State Pedagogical University by means of using Mathcad in the process of Theoretical Physics studying. Mathcad demonstrates the increase of students’ motivation to both ‒ solving problems in Theoretical Physics and to a deeper study of this academic discipline. The fulfilment of self-independent work tasks involves students to build a mathematical model of the phenomenon or process being under study, to implement the model using Mathcad, to obtain a solution to the problem and its numerical and graphic analysis.In conclusion, rational organization of students’ self-independent work in using information technologies allows not only to intensify the work in the qualitative assimilation of educational material, but to lay the foundation for further continuous self-education and self-improvement. Integrating a combination of software, hardware and traditional forms of learning creates the information-educational environment, defining the student’s self-independent work as more autonomous, prior and creative.
An lmmersive Gesture-based Drone Command System

One of the primary reasons for difficulties when flying a drone is limited understanding of mapping between the physical movements/orientation of the drone and using a remote controller. We describe an immersive gesture-based drone control approach which aims to increase the drone flying accuracy and reduce the initial learning curve associated with flying a drone.
LibGuides: Network Risk Management and Control: News & Magazines

This guide is for the NCU specialization Network Risk Management and Control. It contains resources available in the NCU Library.
LibGuides: Network Risk Management and Control: Background Information

This guide is for the NCU specialization Network Risk Management and Control. It contains resources available in the NCU Library.
JNCD-Based Perceptual Compression of RGB 4: 4: 4 Image Data.

In contemporary lossy image coding applications, a desired aim is to decrease, as much as possible, bits per pixel without inducing perceptually conspicuous distortions in RGB image data. In this paper, we propose a novel color-based perceptual compression technique, named RGB-PAQ. RGB-PAQ is based on CIELAB Just Noticeable Color Difference (JNCD) and Human Visual System (HVS) spectral sensitivity. We utilize CIELAB JNCD and HVS spectral sensitivity modeling to separately adjust quantization levels at the Coding Block (CB) level. In essence, our method is designed to capitalize on the inability of the HVS to perceptually differentiate photons in very similar wavelength bands. In terms of application, the proposed technique can be used with RGB (4:4:4) image data of various bit depths and spatial resolutions including, for example, true color and deep color images in HD and Ultra HD resolutions. In the evaluations, we compare RGB-PAQ with a set of anchor methods; namely, HEVC, JPEG, JPEG 2000 and Google WebP. Compared with HEVC HM RExt, RGB-PAQ achieves up to 77.8% bits reductions. The subjective evaluations confirm that the compression artifacts induced by RGB-PAQ proved to be either imperceptible (MOS = 5) or near-imperceptible (MOS = 4) in the vast majority of cases.
Experience of using Trello service as a mobile learning tool

Key words: image of the world, image of the future profession, higher educa onal ins tu on, secondary educa onal ins tu on.
LibGuides: Beyond FDLP.gov: Fun stuff

This guide includes non-GPO resources useful to staff managing Federal depository operations and services. Links to quizzes and games, publication title lists, and resources featuring government information librarians or libraries.
Pika parsing: parsing in reverse solves the left recursion and error recovery problems

A recursive descent parser is built from a set of mutually-recursive functions, where each function directly implements one of the nonterminals of a grammar. A packrat parser uses memoization to reduce the time complexity for recursive descent parsing from exponential to linear in the length of the input. Recursive descent parsers are extremely simple to write, but suffer from two significant problems: (i) left-recursive grammars cause the parser to get stuck in infinite recursion, and (ii) it can be difficult or impossible to optimally recover the parse state and continue parsing after a syntax error. Both problems are solved by the pika parser, a novel reformulation of packrat parsing as a dynamic programming algorithm, which requires parsing the input in reverse: bottom-up and right to left, rather than top-down and left to right. This reversed parsing order enables pika parsers to handle grammars that use either direct or indirect left recursion to achieve left associativity, simplifying grammar writing, and also enables optimal recovery from syntax errors, which is a crucial property for IDEs and compilers. Pika parsing maintains the linear-time performance characteristics of packrat parsing as a function of input length. The pika parser was benchmarked against the widely-used Parboiled2 and ANTLR4 parsing libraries. The pika parser performed significantly better than the other parsers for an expression grammar, although for a complex grammar implementing the Java language specification, a large constant performance impact was incurred per input character. Therefore, if performance is important, pika parsing is best applied to simple to moderate-sized grammars, or to very large inputs, if other parsing alternatives do not scale linearly in the length of the input. Several new insights into precedence, associativity, and left recursion are presented.
Using Voice and Facial Authentication Algorithms as a Cyber Security Tool in Voice Assistant Devices

The wide acceptance of smart devices and voice assistants in modern society has created a new playing field of which hackers can take advantage to retrieve personal data from smart device users. Because smart devices and voice assistants are relatively new, there are many cyber security concerns with them that have yet to be addressed on a wide scale. In this research work, we discuss cyber security concerns related to the use of voice assistant technology in Internet of Things devices including Amazon’s Alexa, Apple’s Siri, and Google’s Google Assistant and propose voice and facial authentication algorithms that provide countermeasures against these cyber security concerns. Our proposed solutions are a step towards increasing the security of voice assistant technology.
LibGuides: Internet Options during COVID-19: Home

For students suddenly finding themselves enrolled in online courses who may have limited internet options, here are some resources for you!
The Correlation Between Studentsâ€™ Vocabulary MasteryAnd Their Achievement In Reading Comprehension

This research deals with the correlation between students vocabulary mastery and their achievement in their reading comprehension. The data were taken from 33 students from class X-TKJ of SMK As â€“ Sakienah Boarding School Tugu â€“ Sliyeg. The writer used quantitative method by Pearson Product Moment. From the calculation by using product moment formula, it was found out that the coefficient correlation from this research is 0,8409.. It can be concluded that there is positive and high correlation level between studentsâ€™ vocabulary mastery and their achievement in reading comprehension. This research used significance level 5%. From the hypothesis testing result, it was found thatÂ r_count is 0,8409 &gt;r _table 0,3494. Based on the fact, it can be concluded that Alternative Hypothesis (Ha) is accepted and the Null Hypothesis (Ho) is rejected. So, there is significance correlation between studentsâ€™ vocabulary mastery and their achievement reading comprehension.
LibGuides: At-home workouts for the quantantined!: Local Resources

A beginner's guide to at-home workouts Cache Valley gyms and studios offering online workouts
The skill of a group of forensic document examiners in expressing handwriting and signature authorship and production process opinions

Between March 1998 and June 2001, the six members of the New Zealand Police Document Examination Section completed six blind forensic handwriting and signature trials where the identity of the questioned writings were known by the experimenters but not by the document examiners. A total of 7494 opinions were expressed by the examiner group regarding the authorship of questioned handwriting and signature samples. Of these opinions, 2700 were correct, 11 were erroneous and 4783 were inconclusive. This translates into an overall raw error score of 0.1% of opinions, and a ‘called error’ score (one calculated by excluding the inconclusive data) of 0.4% of opinions. In addition, a total of 2982 opinions were expressed by the group on whether questioned signatures were the product of a simulation process. The group did not express any opinions that a simulated signature was the product of a genuine writing process, nor did the examiners express any opinions that a genuine signature was the product of a simulation process. Thus, for process opinions there was a zero error rate for the group. This paper overviews the individual and group opinion data associated with each of the trials. ‘The results provide significant support to the validity and strong probative value of the skill that has been claimed by this group of examiners.&#x0D; Purchase Article - $10
Research Guides: Alumni Resources: Searching for Free Electronic Books

Links to freely available electronic research resources for Rutgers alumni. Tips for finding e-books in the Library Catalog
Library Guides: eBooks and audiobooks: Previous Big Library Reads

Stuck at home in lockdown? Here are Kerferd Library eBooks and audio books you can use from home
Research Guides: Scholarly Communication for Librarians: Author Rights

This guide contains information and resources shared at the Scholarly Communication Boot Camp sessions.
LibGuides: Reading Online for Kids at Home: Home

This guide is intended to help parents find age appropriate materials for their kids online, allowing them to pursue an alternative reading format. These are resources that can be accessed from home without having to come into the library!
LibGuides: Off-Campus Access: e-Textbooks

This guide will help you locate information resources on online teaching and troubleshoot common issues with access to library resources from off-campus.
Разработка приложения веб-скрапинга с возможностями обхода блокировок

Web-scraping is a process of extracting data from web-pages on the Internet by automating web-sites requests. Importance of web-scraping is increased with developing of the Internet. And more than half of Internet traffic (except for streaming, i.e. audio and video) is created by automated means, so-called bots. TThe article is devoted to the study of the process of web-scraping and the problem of blocking web scrapers on the Internet. We consider the basic principles and concepts of web scraping process and classification of web scrapers. A review of existing web-scraping solutions is carried out, highlighting the main advantages and disadvantages of web-scraping bypassing locks. The reasons for blocking web scrapers by websites are considered, highlighting the signs by which websites determine and block web scrapers. We investigate techniques for bypassing web-scraper locks and their impact on the web-scraping process. A program developed in the Python programming language that uses techniques to bypass web-scrapper locks is proposed. The program has a graphical interface developed using the Tkinter framework to create a web-scraping policy. Web scrapers bypassing blocking techniques use an open source framework to automate user actions in the Selenium WebDriver browser. A comparative analysis of the work of web scrapers showed that the use of the modules created in the work allows you to bypass the blocking of web scraping.
Directed Hypergraph Neural Network

To deal with irregular data structure, graph convolution neural networks have been developed by a lot of data scientists. However, data scientists just have concentrated primarily on developing deep neural network method for un-directed graph. In this paper, we will present the novel neural network method for directed hypergraph. In the other words, we will develop not only the novel directed hypergraph neural network method but also the novel directed hypergraph based semi-supervised learning method. These methods are employed to solve the node classification task. The two datasets that are used in the experiments are the cora and the citeseer datasets. Among the classic directed graph based semi-supervised learning method, the novel directed hypergraph based semi-supervised learning method, the novel directed hypergraph neural network method that are utilized to solve this node classification task, we recognize that the novel directed hypergraph neural network achieves the highest accuracies.
The Effects of Career Decision-Making Self-Efficacy on Psychological Well-Being and Career Preparation Behavior of College Students Majoring in Taekwondo

The purpose of this study was to investigate the effects of career decision-making self-efficacy on psychological well-being and career preparation behavior of university students majoring in Taekwondo, and to analyze the effects of psychological well-being on career preparation behavior. To conduct the study, three universities with Taekwondo departments were selected from universities located in Seoul and Gyeonggi Province and the students of the department were selected as a population. A total of 300 questionnaires were distributed using convenience sampling method. Of the collected questionnaires, 267 were selected as the final valid samples except 33 questionnaires with insincere responses or missing some answers. The collected data were analyzed by frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis, and structural equation modeling using SPSS 18.0 and AMOS 18.0. First, hypothesis 1 that career decision-making self-efficacy of Taekwondo major university students will have a positive effect on psychological well-being was adopted. Second, hypothesis 2 was adopted that ‘career decision-making self-efficacy of Taekwondo major university students will have a positive effect on career preparation behavior’. Third, hypothesis 3 was adopted that ‘the psychological well-being of Taekwondo major university students will have a positive effect on career preparation behavior’.
Keystone Academy Libraries: MS Language & Literature: Grade 9 Beauty

A research guide for Middle School Language & Literature classes. The home page for Middle School Language & Literature.
Gestions Creatives: formar mestres en i per a una realitat complexa i en constant ®evolució

catalaEl grau d’educacio infantil en Gestions Creatives es un projecte de la Facultat d’Educacio, Psicologia i Treball Social de la Universitat de Lleida que s’inicia el curs 2015- 2016 i s’origina a partir del convenciment que es necessari trencar esquemes en l’ambit de la docencia universitaria per donar resposta a les especificitats de l’educacio de la societat del segle XXI. ?Es necessari i urgent questionar els models pedagogics tradicionals de les institucions universitaries? ?Quina responsabilitat tenim les facultats d’educacio a l’hora de formar mestres en una societat de sabers compartits? ?Com podem donar resposta, des de la formacio inicial dels mestres, a aquest constant moviment que ha comportat que cada cop hi hagi mes escoles que es plantegin transformar profundament metodologies, organitzacions i arquitectures? Gestions Creatives vincula totes les materies i arees de coneixement de la titulacio i proposa una transformacio metodologica, organitzativa i curricular de tot el grau. Ens decantem per la idea que el canvi metodologic es necessari pero insuficient per poder bastir qualsevol proces de metamorfosi educativa. Per tant, la metodologia que proposem esta emmarada en un ecosistema curricular i una arquitectura de docencia que permet sustentar-la. En aquest article pretenem compartir l’experiencia amb la idea d’anar configurant un «eixam hacker» (Padilla, 2012) que ens permeti connectar sabers, ambits d’aprenentatge i perspectives per anar construint una universitat oberta, connectada, contemporania i critica. EnglishThe Pre-school Education degree in Creative Procedures is a project of the Education, Psychology and Social Work School of the University of Lleida that began the 2015-16 academic year. It is based on the need to innovate in university teaching in order to respond to the specificities of the education of society in the 21st century. Is the questioning of traditional pedagogical models of the university necessary and urgent? What responsibility do schools of education have when training teachers in a society of shared knowledge? How can the initial teacher training respond to the constant movement that has caused many schools to contemplate the transformation of methodologies, organizations and architectures? Creative Procedures links all the subjects and knowledge areas of the degree and proposes a methodological, organizational and curricular transformation of the whole degree programme. We take the stance that methodological change is necessary but insufficient to build an educational metamorphosis process. Therefore, the methodology we propose is supported by a curricular ecosystem and a teaching architecture. In this article we seek to share our experience with the intention of creating a hacker swarm (Padilla, 2012) that will allow us to connect knowledge, learning areas and perspectives to build an open, connected, contemporary and critical university.
LibGuides: SPCE 683: Finding an Article You Need: Help for Distance Education Students

Learn the quickest way to get to an article you need to read -- using OneSearch. There are many resources available to distance ed students to help them in doing their studying and research...even from afar.
Guides: Online Library Resources and Services: Articles - Databases

Guide to online Library services and research resources available to students during WCC campus closure