Reviewerly/exHarmony huggingface dataset:
Improvement of Deep Learning-based Human Detection using Dynamic Thresholding for Intelligent Surveillance System

Human detection plays an important role in many applications of the intelligent surveillance system (ISS), such as person re-identification, human tracking, people counting, etc.On the other hand, the use of deep learning in human detection has provided excellent accuracy.Unfortunately, the deeplearning method is sometimes unable to detect objects that are too far from the camera.It is because the threshold selection for confidence value is statically determined at the decision stage.This paper proposes a new strategy for using dynamic thresholding based on geometry in the images.The proposed method is evaluated using the dataset we created.The experiment found that the use of dynamic thresholding provides an increase in F-measure of 0.11 while reducing false positives by 0.18.This shows that the proposed strategy effectively detects human objects, which is applied to the ISS.
Contrastive Learning for Neural Topic Model

Recent empirical studies show that adversarial topic models (ATM) can successfully capture semantic patterns of the document by differentiating a document with another dissimilar sample. However, utilizing that discriminative-generative architecture has two important drawbacks: (1) the architecture does not relate similar documents, which has the same document-word distribution of salient words; (2) it restricts the ability to integrate external information, such as sentiments of the document, which has been shown to benefit the training of neural topic model. To address those issues, we revisit the adversarial topic architecture in the viewpoint of mathematical analysis, propose a novel approach to re-formulate discriminative goal as an optimization problem, and design a novel sampling method which facilitates the integration of external variables. The reformulation encourages the model to incorporate the relations among similar samples and enforces the constraint on the similarity among dissimilar ones; while the sampling method, which is based on the internal input and reconstructed output, helps inform the model of salient words contributing to the main topic. Experimental results show that our framework outperforms other state-of-the-art neural topic models in three common benchmark datasets that belong to various domains, vocabulary sizes, and document lengths in terms of topic coherence.
Research on Teaching Reform of Music History Course in Local Universities under the Background of Teacher Certification

Normal professional certification is a national quality assurance system of teacher education, whose goal is to promote the quality of normal professional training. In recent years, the normal professional certification has been gradually popularized in the country, and the process of teaching reform of related courses has also been gradually accelerated. The purpose is to further improve the ability and quality of normal professional personnel training, so as to ensure that the knowledge conservation and ability quality of normal students meet the national talent training standards. This paper takes the music history course of local colleges and Universities under the background of normal professional certification as the research object, explores its teaching reform strategy, in order to continuously improve the teaching quality of the course.
Inovasi Media Pembelajaran Pendidikan Ekonomi Berbasis Kecerdasan Buatan Terintegrasi (Integreted Artificial Intelegence) dengan Ubiquitous Learning

Human Resource Development (HR) is part of the process and objectives of Indonesia's economic development. Therefore, strategic steps are needed in realizing education as one of the pillars in realizing quality human resources. The purpose of this research is to design and build innovative learning media that is integrated with ubiquitos learning through artificial intelligence technology by utilizing Chatbot application features that can be used. for learning economic education. This research consists of three main stages, namely (1). Preliminary study by conducting theoretical and field agreements so as to be able to formulate needs in the preparation of the platform. (2). The second stage begins with product planning by providing product differentiation in the form of chatbots and daily intensive courses which then develops into a Learning Management System in the initial form of the product. (3). The activity required at this stage is the first trial by experts to validate the material and media. The results of this study are in the form of a platform developed in the form of text, animation, and video by utilizing artificial intelligence (AI) technology on chatbot application features that are tailored to the needs and stages of student learning in economics subjects that have been implemented in the Integrated Learning Management System
LibGuides: Shakespeare Resources: Sources Used for this Guide

Resources for writing research papers on Shakespeare. Sources include: FIlm and Literature Criticism, Language, General Guides, Reseach Databases, Media Resources, and Writing Aids.
Recognizing Families In the Wild (RFIW): The 5th Edition

Recognizing Families In the Wild (RFIW), held as a data challenge inconjunction with the 16th IEEE International Conference on Automatic Face andGesture Recognition (FG), is a large-scale, multi-track visual kinshiprecognition evaluation. This is our fifth edition of RFIW, for which wecontinue the effort to attract scholars, bring together professionals, publishnew work, and discuss prospects. In this paper, we summarize submissions forthe three tasks of this year's RFIW: specifically, we review the results forkinship verification, tri-subject verification, and family member search andretrieval. We take a look at the RFIW problem, as well as share current effortsand make recommendations for promising future directions.
Intelligent Video Surveillance using Deep Learning

Now days, Big data applications are having most of the importance and space in industry and research area. Surveillance videos are a major contribution to unstructured big data. The main objective of this paper is to give brief about video analysis using deep learning techniques in order to detect suspicious activities. Our main focus is on applications of deep learning techniques in detection the count, no of involved persons and the activity going on in a crowd considering all conditions [9]. This video analysis helps us to achieve security. Security can be defined in different terms like identification of theft, detecting violence etc. Suspicious Human Activity Detection is simply the process of detection of unusual (abnormal)l human activities . For this we need to convert the video into frames and processing these frames helps us to analyze the persons and their activities. There are two modules in this system first one Object Detection Module and Second one is Activity Detection Module .Object detection module detects whether the object is present or not. After detecting the object the next module is going to check whether the activity is suspicious or not.
COMPARATIVE STUDY OF GABOR TRANSFORM AND DUAL TREE - COMPLEX WAVELET TRANSFORM WITH RESPECT TO ARCHITECTURAL DISTORTION IN MAMMOGRAM

The linear or piecewise linear pattern of breast structure may get disturbed due to thedevelopment of cancer. Mammography is an economic and widely used modality of screening breast cancer.The architectural distortion (AD) is a type of malignancy wherein spiculations distorts definite structure ofbreast tissue. The spiculations can be detected by various transforms like Gabor filter, dual tree complex wavelettransform (DT-CWT) etc. that possess an important property of directional sensitivity. This paper presents asystem that performs classification of ADs from non-AD mammograms. The mammograms undergo contrastlimited adaptive histogram equalization (CLAHE) for enhancement of contrast. The oriental information isretrieved, using Gabor filter and dual tree complex wavelet transform. Haralick features are extracted fromGabor filter processed image and from the coefficients of dual tree complex wavelet transform directional subbands respectively. The feature vector is fed to support vector machine (SVM) classifier for binaryclassification. The SVM classifier validates if the mammogram has architectural distortion or not. The accuracy,sensitivity and specificity yielded by classifier is 91.66%, 85.71% and 100% respectively in case of Gabor Filterand 90.78%, 85.98% and 98.96% respectively in case of DT-CWT. With the use of DT-CWT, overall timerequired for execution can be reduced with similar performance. We hypothesize that multi-resolution analysisof a mammogram using DT-CWT gives clear indication of disparity in architectural distortion locale.Furthermore, the system will aid detection of early sign of abnormality.
Percepção da RDA para implementação nas bibliotecas da universidade federal de minas gerais

Information and communication technologies have brought changes in information environments that have contributed to the emergence of new types of documents, formats, supports, content and new ways of accessing and ways to register resources, thus, the new cataloging norm that will replace the AACR2, the RDA. The objective of this study is to diagnose the current reality of perception of library catalogers at the Federal University of Minas Gerais in the face of the new cataloging standard, as well as the general view of the standard, the understanding of changes in the instructions for data description of the resources, awareness of GDR implementation strategies, and preference for methods for training GDR topics. The mixed approach method was adopted and as a data collection technique, interviews (semi-structured) and content analysis to explain and systematize the analyzed content. The preliminary results show that implementation is a long way to go, and that it is done in conjunction with interested entities.
Experience from the implementation of multimedia approach to teaching for developing professional competence

Multimedia approach has been increasingly used in the education of university students in recent years. It is not only modern but also particularly necessary in the process of teaching and acquiring knowledge and skills – this is a methodology that is not sufficiently developed. Unfortunately, there are few sources presenting experience from its practical implementation. Often, preference is given to traditional instructional methods, strategies and approaches as in time they have proven effective in acquiring the knowledge and skills necessary in practice. In this aspect, multimedia approach offers great flexibility and high potential as a teaching tool in education. On the whole, the content of this report presents the author’s extensive experience and her ambiguous conclusion that the modern psychopedagogical profile of the digital generation of students, compulsory requires introduction of innovative instructional technologies. The implementation of this relatively new approach to teaching students results in more profound gain of theoretical knowledge and more effective development of practical skills and experience, which in turn forms a higher level of professional competence. The findings of this research supplement the existing evidence of the importance of applying innovative instructional practices and support the implementation of multimedia mixed approach to educational process. Students highly appreciate the implementation of various audio-visual training methods, find them useful in their preparation for practical exams and in building skills before, during and following the academic lectures. The article targets lecturers and supervisors of future specialists in various professional fields, students at higher schools, teachers interested in these issues.
Chapter 3. Transitioning to Digital Services

Many crises involve interruptions of access to physical spaces and materials. Chapter 3 of Library Technology Reports (vol. 57, no. 7), “Transitioning to Digital Services,” discusses how library IT departments can help their libraries transition to digital services to serve patrons and preserve as much resource availability as possible.
Persona Cards: Introducing Users With Diverse Needs To Enhance Accessibility Teaching

Location: Dewberry HallMost analysts and designers who follow a formal degree in Information Technology or Computer Science are not familiar with users with diverse needs. Therefore, they tend to implement applications targeted at a regular, able-bodied user. These applications are often inaccessible for users with disabilities. To improve the students' awareness about accessibility needs, enhancing their knowledge acquisition, training and build capacity, students should become more familiarized with diverse needs users may have. Learning about universal design, accessibility considerations and guidelines that render interactive systems more accessible is key in a world where interactive technologies are widespread.
ЖОҒАРҒЫ ОҚУ ОРЫНДАРЫНЫҢ СТУДЕНТТЕРІНЕ ТИІМДІ ОҚЫТУ ӘДІСТЕРІНІҢ ҦТЫМДЫЛЫҒЫ

The needs of creative individuals grow in the development of society. The knowledge, skills and skills available in the traditional training of specialists that meet modern requirements remain at the level of the subject. The education system should combine not only the scope of the subject, but also the process of training students who can think innovatively. Currently, the main goal of the University is the development of creative independence of students in accordance with the innovative direction of education, deepening the value orientations of students, the study of new technologies.
COVID-19: Vulnerabilidad vs Resiliencia. Un acercamiento a la realidad educativa venezolana

Education is a fundamental human right. In the middle of an adverse event this must be guaranteed. In Venezuela there were previous conditions of vulnerability before the occurrence of the COVID-19 pandemic. The objective of this research is to describe the situation of vulnerability in Venezuela before the COVID-19 pandemic and the resilience indicators evidenced in the education system to ensure the right to education. It is a documentary type investigation. Among the conclusions are: despite the crisis that Venezuela is going through, the existence of indicators of resilience in the educational system has been evidenced.
FMixAugment for Semi-supervised Learning with Consistency Regularization

Consistency regularization has witnessed tremendous success in the area of semi-supervised deep learning for image classification, which leverages data augmentation on unlabeled examples to encourage the model outputting the invariant predicted class distribution as before augmented. These methods have been made considerable progress in this area, but most of them are at the cost of utilizing more complex models. In this work, we propose a simple and efficient method FMixAugment, which combines the proposed MixAugment with Fourier space-based data masking and applies it on unlabeled examples to generate a strongly-augmented version. Our approach first generates a hard pseudo-label by employing a weakly-augmented version and minimizes the cross-entropy between it and the strongly-augmented version. Furthermore, to improve the robustness and uncertainty measurement of the model, we also enforce consistency constraints between the mixed augmented version and the weakly-augmented version. Ultimately, we introduce a dynamic growth of the confidence threshold for pseudo-labels. Extensive experiments are tested on CIFAR-10/100, SVHN, and STL-10 datasets, which indicate that our method outperforms the previous state-of-the-art methods. Specifically, with 40 labeled examples on CIFAR-10, we achieve 90.21% accuracy, and exceed 95% accuracy with 1000 labeled examples on STL-10.
Efektivitas Metode Suku Kata dalam Meningkatkan Kemampuan Membaca Permulaan bagi Siswa ADHD

This research discusses the improvement of early reading skill in ADHD student using the Syllable Method at SD Muhammadiyah Padangsidimpuan. The research of this study is the third grade ADHD student in SD Muhammadiyah Padangsidimpuan. This study uses Single Subject Research and the type of experimental research with A-B-A design, baseline (A1), intervention (B), baseline (A2). Data collection in this study was done through observation, interviews, and tests. The data collection tool uses frequency. The reseacrh data is analyzed using graphs. Based on the result of study, it was stated that the initial reading abilty of ADHD student increased after intervention using the Syllable Method was given. So it can be concluded that the Syllbale Methos can improve the early reading ability of ADHD student.
SMART TECHNOLOGIES COGNITIVE POTENTIAL AS A FORM OF ENGLISH SPEAKING DISCOURSE PRACTICE

The article deals with the main terminological nominations of modern technologies, which play an essential role in the transition from traditional to smart / intelligent education. The identity of the conceptual cognitive and discursive paradigm of smart technologies is given. The discursive practices of smart education in training discourse are presented. The purpose of the study is to show a cognitive and discursive review of terminological nominations that represent digital technologies used to develop smart / intelligent education and, accordingly, Technology-enhanced learning (TEL). The scientific methodology includes the search, study, and cognitive and discursive analysis of the benefits of new intelligent paradigms that are used in the development and deployment of intelligent educational systems in high schools. The relationship between information and communication technologies (ICT) and smart technologies, which act as a generic term for any activity on the Web, using digital devices, cloud storage, and various digital products, is shown. The article justifies the issues of digitalization of higher education where the discursive practices are identified as the solution to these issues.
EDUCATIONAL ENVIRONMENT OF THE UNIVERSITY FOR STUDENTS OF TRANSPORTATION SPECIALTIES OF APPLIED MECHANICSDURING DISTANCE LEARNING

The article is devoted to the problems of studying technical disciplines in the remote access mode by students of transport specialties. The advantages and disadvantages of the digital learn-ing format are considered. Fragments of practical work on applied mechanics in the Zoom pro-gram are presented. Recommendations are given for the intensification of the educational process in the remote education of students of transport specialties.
Domain Name Theft – Cybersquatting: What It Means for Trade Marks

With the fast-spaced development and expansion of the internet, the chances of seeing a business without an online presence has almost become impossible as most business entities now have websites or at least one form of online presence or the other; and those without one are certainly considering doing the same. The reason is simple: the internet presents a speedy and convenient way of creating awareness for one’s products or services. Thus, establishing an online presence becomes highly necessary for organizations. However, because the registration of a domain name as a website does not require any legal requirement as it is registered on a first-come, first-serve basis (and even without proof of commercial use of the name) any one can register a name as a domain name even where the name constitutes the brand name or registered trade mark of another. This has now given rise to a situation whereby unscrupulous persons register names which constitutes the trade marks of others in advance, with the intent to profit, mislead or cause reputational loss to the actual owners of the trade mark or name - Cybersquatting. Against this backdrop, this paper examines trade marks vis-a-vis Domain names and the legal and regulatory framework for their protection; and assesses whether cybersquatting may constitute trade marks infringement and if that is so, whether domain names can be protected as trade marks, especially in Nigeria.
Corpus linguistics and language testing

This chapter begins with a definition of corpus linguistics and a brief survey of how corpus linguistics has been used in the development, validation, and scoring of language tests, along with a survey of methods and tools used to analyze language corpora. Best practices in selecting and/or developing appropriate corpora for various assessment purposes are presented, and the chapter closes with a discussion of future directions, including the need for longitudinal corpora and corpora representing a wider range of language varieties.
Extreme Disaster Risk Assessment of Transmission Line Based on Improved Cloud Model and Eclat Algorithm

At present, the cloud model was applied in the transmission line risk assessment. However, there was an insufficiency that the quantified level in the cloud model depended upon factitious and subjective grading. Thus, an extreme disaster risk assessment method of transmission line based on improved cloud model and Eclat algorithm was proposed. Firstly, based on disaster feature information, disaster characteristic factors and technical elements of typical extreme disasters were selected. Secondly, by means of FCM algorithm the one-dimensional data clustering center was obtained, and by use of combining clustering center with digital characteristics of traditional subjective cloud model the improved combined standard cloud was acquired. After the dynamic modification of the data, in which the outage time caused by disaster, the anti-disaster ability of transmission line and the accumulative effect of disaster risk were considered, the grading of the quantified level were performed in the standard cloud. Finally, the Eclat algorithm was applied to mine the association rule between quantified disaster characteristic factors and risk technical elements to obtain the risk assessment forecasting model. Result of instance shows that using the improved cloud model the accuracy of disaster assessment can be improved, and the obtained association rule can be utilized in the forecast assessment on disaster risk of transmission line.
Mobile Educational Games For Learning Sirah Nabi: Development And Usability Evaluation

The pervasive use of the internet and mobile phone among the age group 5 – 17 years old makes learning through these media an attractive proposition. Mobile learning presents a flexible and inventive way of learning as well as the new normal. On the other hand, learning Sirah is an essential part of every Muslim in the world in order to understand what has happened in the past regarding our beloved prophet and to learn from his behaviour and follow his sunnah. However, past studies shown that the traditional learning approach seems dull and not interesting enough. Mobile learning thus offers a new solution in learning the Sirah and similar subjects most students find of low interest and dull. The study used a quantitative approach using survey for data collection; and was divided into two phases: Sirah Game Prototype Design and Usability Evaluation phase. The ADDIE model was adapted as a model to guide instructional design process and development of the Sirah mobile applications with five phases throughout the process. An evaluation model consisted of seven components namely Game Usability, Mobility, Learning Content and Playability, Satisfaction, Efficiency was implemented. The findings suggested that students are highly interested in the use of the games for learning, able to learn Sirah subject in better ways by using the games and learning with games was found as enjoyable way to learn. This study adds more to Islamic digital content and enhances the learning approach for Sirah subject. We hope to contribute more towards Islamic digital content in the future for the benefit of our ummah and community.