Reviewerly/exHarmony huggingface dataset:
Mitigating Catastrophic Forgetting In Adaptive Class Incremental Extreme Learning Machine Through Neuron Clustering

Catastrophic forgetting is a major problem that affects neural networks during progressive learning. In it, the previously learned representation vanishes as the network learns new information. The extreme learning machine is one of the variants of the neural network. It is used in many domains due to fast training and good generalization ability. However, like other neural networks, it suffers from catastrophic forgetting and negative forward and backward transfer during the progression of neurons in incremental learning. The study hypothesizes that it is due to overlapping in hidden neurons and output weights. The global representation by an activation function further supports this hypothesis. To address this, the study proposes a neuron clustering approach to mitigate it in an adaptive class incremental extreme learning machine. The neuron clustering method activates k nearest neurons during learning and testing. It helps to partition the network to select overlapping subnetwork. Experimental results on four food datasets show that the proposed approach reduces negative forward and backward transfer when neurons are added incrementally during progressive learning.
Quality attributes of formal grammars and languages in translator engineering

Komleva N. O. Quality attributes of formal grammars and languages in translator engineering / N. O. Komleva, S. S. Popov // Інформаційні технології і автоматизація–2019 : зб. доп. XIІ Міжнар. наук.-практ. конф., Одеса, 17–18 жовт. 2019 р. / Одес. нац. акад. харч. технологій, Ін-т комп'ютер. систем і технологій «Індустрія 4.0» ім. П. М. Платонова ; ред. кол.: С. В. Котлик, В. А. Хобін, В. М. Плотніков. – Одеса, 2019. – Ч. І. – с. 110–112. : – Бібліогр.: 2 назв.
Responsible AI

In June 2020, IBM announced it would no longer offer facial recognition software. This came from CEO Arvind Krishna’s letter to Congress. In it, he talked about how IBM had a long history of supporting civil rights, such as in terms of diversity with hiring and refusing to support Jim Crow laws.
Social Technologies for Innovative Development Management of Technical University

Horizon Research Publishing,USA (HRPUB) is a worldwide open access publisher serving the academic research and scientific communities by launching peer-reviewed journals covering a wide range of academic disciplines. As an international academic organization for researchers & scientists, we aim to provide researchers, writers, academic professors and students the most advanced research achievements in a broad range of areas, and to facilitate the academic exchange between them.
A social engineering awareness and training workshop for STEM students and practitioners

The human element is often regarded as the weakest link in cybersecurity, yet awareness and training efforts focus primarily on the technical aspects of cybersecurity and downplay the relevance of the human factor. One way to exploit this human vulnerability is through social engineering, in which cybercriminals utilize persuasion and manipulation of human behavior and psychology to convince individuals to reveal information, provide access or perform an action. This paper offers a case study on efforts to design and develop a social engineering awareness and training program that was implemented at the 2019 National Science Foundation Cybersecurity Summit using the National Institute of Standards and Technology framework for program development. This program was developed to enhance the ability for individuals in the future and current workforce to protect their organization against vulnerabilities to social engineering attacks, through corresponding awareness and training. The authors share the different stages that are involved in producing a successful program: designing the program, developing the awareness and training material, and implementing the program. In addition, this paper details the challenges and lessons the authors experienced and learned, which can be used as a guide for other practitioners to develop social engineering awareness and training programs.
Hand Gesture based Telemedicine enabled by Mobile VR

Virtual Reality (VR) is a highly evolving domain and is used in anincreasing number of areas in today's society. Among the technologiesassociated with VR and especially mobile VR, is hand tracking ...
Developing Readiness Of Fl Teachers To Work On EIEE Of IHL

The present study investigates the major obstacles preventing foreign language teachers from effective use of electronic information educational environment (EIEE) at the institutes of higher learning (IHLs) in Russia with the view of developing learner autonomy. Having interviewed 60 respondents from three universities, the authors found out that these obstacles include: insufficient knowledge of information and communication technologies among foreign language professors; poor standards of material and technical resources available at universities; inadequate readiness of FL teachers to apply new information and communication technologies; insufficient level of FL teachers motivation to use innovative IT at work. The authors have worked out a number of pedagogical conditions that should be provided at IHL to overcome the above mentioned barriers: gradual development of FL teachers’ readiness to use EIEE (IT competence acquisition on the basis of learning management systems (LMS); FL teachers activity stimulation to work in EIEE through creating modular courses); setting up EIEE in IHL which can translate all possibilities of e-learning into action including LMS, software and documentation. These pedagogical conditions have successfully been tested and implemented at RUDN University.
Motorized testing framework for a computer vision application

A successful design and implementation of a modern computer vision system, based on two moving cameras, requires a particular testing infrastructure to be in place. Two pairs of linear actuators, m ...
Library: Science Mentorship Program: Library 101: Finding Books, Book Chapters, and Reference Entries

This guide was developed for students in the Science Mentorship program, but is a useful resource for any student who wants to learn more about the library and about library research.
PENGEMBANGAN SISTEM E-LEARNING SEBAGAI SARANA PENUNJANG KEGIATAN BELAJAR MENGAJAR DI UNUGIRI BOJONEGORO BERBASIS WEBSITE MOODLE

The development of increasingly advanced technology, the use of computer technology and the Internet provides many offers and options for education in supporting the learning process. One use of computer technology and the Internet is a learning system through electronic learning, or better known as e-learning. This study investigated how to develop a learning application that can function as a new learning method in informatics engineering department of the university semesters 2 Nahdlatul Ulama Sunan Giri bojonegoro. This study is a research and development (R & D). The steps of research and development based on the model of the Borg and Gall with 7 stages. The research was conducted in unugiri bojonegoro with 40 respondents. Testing the feasibility of the product by subject matter experts and media experts. Data collection instrument was a questionnaire or questionnaires. The data collection technique using a questionnaire with Likert scale. Data analysis technique used is descriptive qualitative analysis techniques and descriptive statistical analysis. The results of the feasibility assessment by subject matter experts and media expert with an overall average of 77% of validation that was included in the criteria are eligible to be used as a means of supporting the teaching and learning activities. And the results of responses of learners through obtaining product trials with average ratings overall test is 81% is included in the criteria very well, which means learning media that is accessed through a web-based e-learning moodle make students more interested
Normalizing Flow based Hidden Markov Models for Phone Recognition

The task of Phone recognition is a fundamental task in Speech recognition and often serves a critical role in bench-marking purposes. Researchers have used a variety of models used in the past to a ...
Optimizing Hive Performance on Analyzing Log Data with Hadoop

Web servers automatically created or maintained the log files to observe the user behaviour. So, we can get the valuable information through analyzing these server log files. Log files collect a variety of data about information requests to your web server. Server logs act as a visitor sign-in sheet. Server log files can give information about what pages get the most and the least traffic? What sites refer visitors to your site? What pages that your visitors view? There is huge usage of web which generates a huge amount of log files and processing such huge amount of log files using RDBMS creates problem. In this we proposed Hadoop which is an open source solution for handling big data. For analysis we can use bigdata analytical tool called hive which works on top of the Hadoop. Hive support SQL like language to analyze the data called HiveQL. In this paper we can also enhance the performance of hive query on analyzing log data. Cite this Article L.K. Vishwamitra, Vijay Singh Pawar. Optimizing Hive Performance on Analyzing Log Data with Hadoop. Journal of Communication Engineering & Systems . 2018; 8(3): 45–52p.
SISTEMA WEB PARA LA ENSEÑANZA DEL INGLÉS MEDIANTE PERFILES DE GAMIFICACIÓN (WEB SYSTEM FOR TEACHING ENGLISH USING GAMIFICATION PROFILES)

Resumen En las universidades se ha incentivado la importancia de manejar un segundo idioma, por otro lado, la generacion digital actual requiere formas novedosas de aprender, por lo que en este trabajo se propone una alternativa para que los nativos digitales aprendan de forma intuitiva de acuerdo a su personalidad en los juegos basada en la teoria de gamificacion de Richard Bartle, esto considerando que para su titulacion o contrataciones requieren acreditar distintos niveles de ingles de acuerdo al Marco Comun Europeo. Con este sistema se busca disminuir la resistencia al aprendizaje del ingles. Palabra(s) Clave: Ensenanza del ingles, gamificacion, multimedia, sistema web. Abstract In the universities the importance of handling a second language has been encouraged, on the other hand, the current digital generation requires novel ways of learning, so this paper proposes an alternative for digital natives to learn intuitively according to their personality in games based on the gamification theory of Richard Bartle, this considering that for their degree or contracts require different levels of English accredited according to the Common European Framework. This system seeks to reduce resistance to learning English. Keywords: English language teaching, gambling, multimedia, web system.
Thoughts on the Logical Relationship between Human Development and Media Technology in the Era of Pan-communication

In the era of pan-communication, the world is interconnected, and people are also interconnected. The scenes in which people interact freely switch between virtual and real, and those who are stuck in it begin to think about the relationship between human development and the evolution of media technology to continue to guide people's daily lives. Based on this, this article integrates the multi-dimensional perspectives of philosophy, communication, and media environment to examine the relationship between human development and media technology, and explore how to realize the free and comprehensive development of human beings.
MEDIA BREAK AND PUT UNTUK MENINGKATKAN HASIL BELAJAR MATERI REPORT TEXT

This classroom action research is based on the low English score, especially on the writing skill aspect in Report Text material. The learners are lack confidence, feel saturated, and less interested to write in English. The research aims to increase the result of studying in writing the simple paragraph of Report Text in the first cycle and second cycle by using Break and Put Media. The research is carried out from January to April 2017 in Class IX of SMP Unggul Pidie Jaya. The study consists of two cycles, each cycle consists of two meetings. Each cycle consists of planning, implementation, observation, and reflection. Data collection techniques and tools used in this research are descriptive analysis techniques, in the form of documents of the learners’ paperwork, score list, and observation sheets. The results of the research indicate that Break and Put Media causes a fun learning situation so that there is an increase in student learning outcomes. The increase occurred from cycle I to cycle II. In the first cycle, the number of learners who received a complete score is 10 people or 47.21%  and the incomplete score is 11 learners or 52.38%. Meanwhile, in the second cycle, there is an increase of the complete score to 20 learners or 87% and an incomplete score to 3 learners or 13%. So, there is an increase of about 39.79% from cycle I to cycle II. The conclusion is the use of Break and Put Media can increase the learning outcomes of the learners in Class IX of SMP Unggul Pidie Jaya on Report Text material.
LibGuides: Primary & Secondary Sources: Finding Primary Sources

This guide explains the differences between primary and secondary sources, including how to identify them, the different formats, and finding them.
LibGuides: Econ 3600:Developing Countries and the New Global Economy: Getting Started

This is the research guide for Professor Torbat's fall 2020 Econ 3600:Developing Countries and the New Global Economy course
Investigation of usability and measurement accuracy of 3D body scanning mobile applications

In this research project an independent case study on the new contactless 3D body measuring native mobile applications has been carried out. The presented approach allows combination of three different measurement methods: the manual body measuring with the help of traditional instruments, 3D full body scanning technology and the contactless body measuring via smartphone applications. This paper discusses results of the investigation of usability of the measurement process via 3D body scanning apps on the Gage R&amp;R methodology and the examination of their measuring accuracy. The current research provides analysis of body data obtained by the mobile scanning apps with the help of various methods.
Blockchain technology in accounting information systems

Blockchain technology is rapidly becoming an important part of the accounting information system for a multitude of entities large and small. Blockchain technology has the potential to improve accounting information systems in many areas such as transparency in the supply chain, accessibility for underserved populations, and various public good applications. However, unintended consequences from poor design choices can result in an undesirable tradeoff between confidentiality and transparency and thus become a significant ethical concern. The purpose of this chapter is to provide a basic understanding of blockchain technology for accounting information systems, to discuss the ethical concerns surrounding the implementation and use of the technology, and to promote ethical design methodology as an important first step before adopting and implementing the technology.
Storage Class Memory Based Hybrid Memory System for Practical Remote Sensing

Koo, S.M.; Seo, J.M.; Song. Y.J., and Baek, S.J., 2020. Storage class memory based hybrid memory system for practical remote sensing. In: Jung, H.-S.; Lee, S., and Ryu, J.-H. (eds.), In: Jung, H.-S.; Lee, S.; Ryu, J.-H., and Cui, T. (eds.), Advances in Geospatial Research of Coastal Environments. Journal of Coastal Research, Special Issue No. 102, pp. 254-260. Coconut Creek (Florida), ISSN 0749-0208.In the remote sensing domain, large-sized, files such as high-resolution satellite images or sonar video clips from unmanned underwater vehicles are very common. For processing big files, a large main memory is necessary. The main memory capacity highly influences the performance of computer systems. The demand for DRAM capacity has never been satisfied, and more importantly, large DRAM systems suffer from significant power consumption. To ease the problem, a promising solution is to build a hybrid main memory (HMM) system composed of a small number of fast DRAMs and many inexpensive devices. By mimicking large and fast main memory capacity, HMM allows computer systems to run applications that require more DRAM than is installed on the system. In this paper, a novel HMM management scheme for a storage class memory (SCM)-based HMM was introduced. As all the data stored on SCM are already non-volatile, the overall performance of the computer system is enhanced further by not flushing them periodically. The proposed idea was implemented on Linux and its performance was measured using an SCM emulation system. It was shown that HMM efficiently improves performance by up to 77.9 %, compared with a conventional operating system. Additionally, it was demonstrated that the proposed idea's fault recovery mechanisms could restore dirty data that are not yet synchronized with storage, within 91 % of the test time.
Using VOA News Videos to Trigger Students’ Speaking Skill. (Qualitative Research at Eight Semester Majoring English Department of State Islamic University Sultan Maulana Hasanuddin Banten)

Adi Sukmajaya. 161230126. 2020. Using VOA News Videos to Trigger Students’ Speaking Skill. (Qualitative Research at Eight Semester Majoring English Department of State Islamic University Sultan Maulana Hasanuddin Banten).Speaking is importantly needed for the students to allow them to communicate with others, especially for English Education students’. VOA news videos is one type of media that utilizes authentic material as a media for learning English, especially in speaking. This research aims to analyze the use of VOA news videos in speaking lesson. This research was to find out whether using VOA news videos could trigger students’ to learn speaking effectively. This research used qualitative method, the instrument used in this research was tests (before watching VOA news videos and after watching VOA news videos) and interview. Then, To analyze the data the researcher used the theory from Ary et al. The participants of this research was 6 students of eight semester majoring English Education Department State Islamic University Sultan Maulana Hasanuddin Banten. The test result of this research showed that the speaking skill of each students’ after watching VOA news videos was higher than before watching VOA news, they were showed improvement in terms of all aspect speaking skill, such as: pronunciation, fluency, comprehension, vocabulary and grammar. In addition, the result of the interview showed that all of the students’ agree learning speaking through VOA news videos is effective. Based on the result above, it can be conclude that Using VOA news videos could trigger students’ speaking skill.
Flex-grid spectrum allocation for entanglement distribution in quantum networks

We adapt flex-grid spectrum allocation concepts from classical networking to entanglement distribution in a quantum network and accommodate different network usage scenarios like disparate channel loss and requests for differentiated service.
미래 초·중등 영어 교육의 방향 및 과제

The purpose of this study is to present new directions and tasks of the elementary and secondary English education in Korea. Due to the rapid developments of science and technology in the contemporary society, the government needs to predict social changes and prepare for the future education. This study introduced the Korean educational changes in the six future mega trends: demographic changes, exponential growth of information, evolving sophistication of science and technology, changes in economic and social structure, sustainable development, and various life styles and perspectives. Resulted from the delphi survey, it found that the future social changes would influence the educational goals, teaching/learning methods, and curriculum of the elementary and secondary English education. The English educational goals should emphasize ESP(English for Specific Purpose) education, foster language skill-focused education, and reinforce character/moral education, and promote personalized learning. The English teaching and learning method should make the most of digital technology and blended learning by using digital textbooks and VR or AR based experiential learning. This study suggests the educational implications for the future English education policies.
Hybrid Genetic Algorithms for Biomedical Applications

In the era of growing technology where digital data is playing a vital role, artificial intelligence (AI) has emerged as a key player. The process of simulating human intelligence using machines is called AI. To accomplish a given task, the machines are trained with activities like reasoning, speech recognition, planning, manipulating, and task solving. Feeding the machines with ample information is the core part of AI. Inculcating common sense, thinking capabilities, and task solving in machines is a tedious task. AI is a combination of various thrust areas like computer science, sociology, philosophy, psychology, biology, and mathematics. Machine learning, natural language processing (NLP), vision and robotics are the different ways to develop AI in biomedical applications. In machine learning technique, the machine itself learns the steps to achieve the set goal by gaining experience. In NLP, the software itself automatically manipulates the natural language like text and speech. Vision technique enables the machine to see, capture, and analyze the captured image with the image captured from human eyesight. Robots are often used to perform the tasks that humans find difficult to achieve. AI finds application in different sectors due to the recent progress in digitalization. It has been expanding in areas such as marketing, banking, finance, agriculture, and health care sectors. With the development of data acquisition, data computing, and machine learning, AI is causing a gradual change in medical 74practice. To act like intelligent systems, machines have to be fed with a huge amount of data. The algorithms play an important role in AI, as they provide instructions to the machine to execute the required task by analyzing the data provided. In this chapter, the limitations of genetic algorithms (GAs) are discussed and different classification techniques along with Hybrid GAs for biomedical applications will be presented by identifying the challenges in bio-medical applications using AI.
Assessing factors affecting intention to adopt AI and ML: The case of the Jordanian retail industry

The aim of this research is to evaluate the factors that affect the adoption intention of AI and ML in the context of Jordan’s retail industry. For this research paper, primary data was collected with the help of surveying different retail companies that are operational in Jordan with a sample of 400 participants. The survey questionnaire was based on a Likert scale where five points ranging from strongly agree to strongly disagree were provided to the participants. Structural Equation Modelling (SEM) used to analyse the impact and significance of the different factors on the adoption of AI and ML in Jordanian retail sector. It has been concluded from this research paper that communication, government regulations, market structure, and technological infrastructure are important factors that influence the adoption of AI and ML in the retail industry of Jordan. However, the results of this research have pointed out that managerial support and vendor relationship do not have a significant influence on the adoption of AI and ML. Limitations: The scope of the research is restricted to the context of the retail industry only. This research has been carried out in the context of Jordan thus it cannot be applied on to other geographical backgrounds. Due to the time and scope limitations, there are restricted factors considered in the framework.