Reviewerly/exHarmony huggingface dataset:
EVALUATE THE PERFORMANCE OF AN SIGN LANGUAGE TRANSLATOR MOBILE APPLICATION

In current days mobile applications act as one of the major medium to access any task or events from one place to other place of the world.Android is a mobile operating system developed with the help of updated version of the kernel.This is mainly developed for touchscreen applications using devices like handheld tabs, smart mobiles and wireless devices.This current thesis aims at building a machine learning (ML) model that will be ready to classify the varied hand gestures used for fingerspelling in sign language.During this user-independent model, classification machine learning algorithms are trained to employ a set of image data and testing is completed on a totally different set of knowledge.In this proposed thesis we try to use a very clear and depth images for obtaining accurate result than compared to previous methods in the literature.Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).An effort is formed to extend the accuracy of the CNN model by pre-training it on the Imagenet dataset.However, a little dataset was used for pre-training, which gave an accuracy of 15% during training.Signing consists of fingerspelling, which spells out words character by character, and word level association which involves hand gestures that convey the word sense.Fingerspelling may be a vital tool in signing because it enables the communication of names, addresses and other words that don't carry meaning in the word-level association.In spite of this, fingerspelling isn't widely used because it is challenging to know and difficult to use.Moreover, there's no universal signing and really few people realize it, which makes it an inadequate alternative for communication.
Cloud Computing in Smart Health Care

The concept of smart health care is rapidly increasing due to the advancement in technology. Smart Health care is defined as diagnosis the disease, improve the quality of patient’s life and enhance the quality of service with the advancement features in Information and Communication Technologies. The technologies used for smart health care are Cloud Computing, Big Data, Internet of Things, Artificial Intelligence and Block Chain. The most acceptable technology for providing quality and enhanced service to the patients is the cloud computing. The impact of cloud computing is expected to be stronger and more positive in forthcoming years. This paper is aims to provide the importance of cloud computing in health care. First, the concept and the role of cloud in smart health are discussed. Then the benefits and the risks of cloud in health care are explained.
When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization

Large scale parallel applications have evolved beyond the tipping point where there are compelling reasons to analyze, visualize and otherwise process output data from scientific simulations in situ rather than writing data to filesystems for post-processing. This modern approach to in situ integration is served by recently developed technologies such as Ascent, which is purpose-built to transparently integrate runtime analysis and visualization into many different types of scientific domains. The TAU Performance System (TAU) is a comprehensive suite of tools that have been developed to measure the performance of large scale parallel libraries and applications. TAU is widely-adopted and available on leading-edge HPC platforms, but has traditionally relied on post-processing steps to visualize and understand application performance. In this paper, we describe the integration of Ascent and TAU for two complementary purposes: Analyzing Ascent performance as it serves the visualization needs of scientific applications, and visualizing TAU performance data at runtime. We demonstrate the immediate benefits of this in situ integration, reducing the time to insight while presenting performance data in a perspective familiar to the application scientist. In the future, the integration of TAU’s performance observations will enable Ascent to reconfigure its behavior at runtime in order to consistently stay within user-defined performance constraints while processing visualizations for complex and dynamic HPC applications.
The Impact of the Length and Solvability of Anagrams on Performance and Metacognitive Judgments

Psychology Days in Zadar is an international conference organized biennially by the Department of Psychology of the University of Zadar. It started over 40 years ago and it has evolved over decades into a recognizable psychology conference that attracts many researchers from Croatia and abroad.The 21st Psychology Days conference in Zadar was held on May 24‐26 2018. It was organized by an international organizational‐scientific committee and gathered over 330 active participants from Spain, Slovenia, Bosnia and Herzegovina, Serbia, Macedonia, Hungary, Czech Republic, Austria, Russia, Netherlands, Norway, Turkey and USA. At conference, 130 papers were presented through four invited lectures, two symposia, twelve oral sessions, two poster sessions and four workshops.Encouraged with authors` interest and positive experiences regarding previous editions of Book of Selected Proceedings (after 15th and 20th Psychology Days), we have decided to invite authors who participated at 21st Psychology Days, to send their papers for publishing in the Book of Selected Proceedings of 21st Psychology Days in Zadar.
Using Social Media in Building and Managing Corporate Identity: Study on Real Estate Companies in the Kingdom of Bahrain

Purpose of the Research:This study aims to understand the use of social media in building and managing corporate identity in Bahraini real estate companies.It will be based on the qualitative approach and aim to reach a deeper understanding of the perceptions adopted by Bahraini real estate companies in developing identity-building strategies and management methods.Design/Methodology: The study will focus on a sample of Bahraini real estate companies.It will also rely on semi-structured interviews as a data collection tool with managers, decision-makers or public relations managers of these companies.Results/Findings: Most of the real estate companies (8 out of 11) agreed that traditional media, such as newspapers, radio, and television, were unable to promote the company's services because of its narrow scope.New media should be used to target wider audiences. Practical Implications/Conclusion:The authors argue that managers should adapt to the new form of communication and take advantage of the power of consumer chatter in these ways and amplify them to influence other consumers.The interviews revealed that the use of the Internet has changed the behavior of consumers, and the marketing methods of products and services, as it created a new marketing environment in these media.
Information Technology Issues in Jordan

In this chapter, we report organizational, technological and individual information technology (IT) issues of Jordanian IT workers. Based on our survey, security and privacy, IT reliability and efficiency, business productivity and cost reduction, revenue-generating IT innovations, and alignment between IT and business are the top five crucial organizational IT issues in Jordan. Networks and communications, business intelligence and analytics, business process management systems, collaborative and workflow tools, and big data systems are the top technology issues. Jordanian IT employees seem to be satisfied with their jobs, and their workload is manageable. They exhibit satisfactory levels of job security and plan to remain in the current job and the IT profession.
Text Mining in Educational Objectives for Arabic Twitter Educator Accounts

Twitter is a social networking site that offers micro blogging services to interact via Twitter posts, also called tweets, on any devices with Internet access.In Saudi Arabia, Twitter users occupy the second place worldwide.The vast majority of educators and learners students, providers, and educational organizations utilize Twitter, for facilitator-learner interactions and lifelong learning experiences.In the past few years, researchers have significantly studied online social networking sites to examine the relationship between educational outcomes and social networking.However, there is little research exploring integration of microblogging tool, Twitter, into adult and continuing education as well as facilitating for adult learners how to find the right twitter accounts based on learning outcomes.In addition, there is too much shared public and educational information, which is foolproof to spread unrelated content.Subsequently, this counterproductive and prevent adult learners from achieving the learning outcomes.This work purposes to develop a model that could classify Arabic tweets in adult educators' accounts into one of three types of learning outcomes: knowledge, skill, and affective in order to predict tweets belonging to each of these outcomes.Our results show the highest accuracy classification rates through applying support vector machine and random forest algorithms with above 0.75 for all learning outcomes.
Gaussian processes for data fulfilling linear differential equations

A method to reconstruct fields, source strengths and physical parameters based on Gaussian process regression is presented for the case where data are known to fulfill a given linear differential equation with localized sources. The approach is applicable to a wide range of data from physical measurements and numerical simulations. It is based on the well-known invariance of the Gaussian under linear operators, in particular differentiation. Instead of using a generic covariance function to represent data from an unknown field, the space of possible covariance functions is restricted to allow only Gaussian random fields that fulfill the homogeneous differential equation. The resulting tailored kernel functions lead to more reliable regression compared to using a generic kernel and makes some hyperparameters directly interpretable. For differential equations representing laws of physics such a choice limits realizations of random fields to physically possible solutions. Source terms are added by superposition and their strength estimated in a probabilistic fashion, together with possibly unknown hyperparameters with physical meaning in the differential operator.
Video Stitching for Linear Camera Arrays.

Despite the long history of image and video stitching research, existing academic and commercial solutions still produce strong artifacts. In this work, we propose a wide-baseline video stitching algorithm for linear camera arrays that is temporally stable and tolerant to strong parallax. Our key insight is that stitching can be cast as a problem of learning a smooth spatial interpolation between the input videos. To solve this problem, inspired by pushbroom cameras, we introduce a fast pushbroom interpolation layer and propose a novel pushbroom stitching network, which learns a dense flow field to smoothly align the multiple input videos for spatial interpolation. Our approach outperforms the state-of-the-art by a significant margin, as we show with a user study, and has immediate applications in many areas such as virtual reality, immersive telepresence, autonomous driving, and video surveillance.
Algoritma Tracking dan Estimasi Jarak Bola Pada Robot Soccer Humanoid

Humanoid soccer robot is a robot that is designed to play ball as humans play soccer, one of the algorithms owned by humanoid soccer robot to be able to see the ball is a scanning-tracking algorithm. Actuators used for scanning-tracking are two dynamixel AX12 servo motors. The task of the actuator is to make horizontal and vertical directions with the control method used in the tracking process, namely proportional control. After the ball is obtained from the scanning results, the tracking process is carried out which is then calculated the distance between the robot's foot and the ball. by knowing the distance of the ball, the robot can perform actions such as kicking, dribbling and stepping. The method used to get the distance of the ball with a robot is the trigonometry equation method based on the dynamixel servo motor angle. The results obtained after testing with ball spacing varies from 5cm to 500 cm, the process of scanning and tracking by finding the midpoint values of coordinates (position) of the ball object can be done at 160x120 pixel image frame resolution with the maximum distance that can be identified is 350 cm . while the ball spacing based on the actuator angle Y has an average estimated error of 15.71%.
The EU Commission fines several film companies for implementing territorial, consumer and online sales restrictions through merchandising licence agreements (NBC Universal)

On 30 January 2020, the European Commission (‘the Commission') announced its decision to fine several film companies belonging to Comcast Corporation, including NBCUniversal LLC (‘Universal'),…
THE CONCEPT OF HETERO-LEVEL INTEGRATION OF PSYCHOLOGICAL KNOWLEDGE

The article justifies the concept of different-level integration of psychological knowledge, defines the purpose of it development and presents the methodological-theoretical guidance for it. The concept development is based on the general scientific principles of integrity, activity, development, on the humanistic methodological orientation (G. Ball) combined with the analysis of modern studies on psychological knowledge integration. The concept must meet the following criteria: logical consistency, internal coherence of its conceptual positions; sensitivity to the modern socio-cultural and cognitive situations, it must use ideas and methods from other integrating approaches and have strengthened explanatory capacity. We identified the tasks for the concept development. We put forward the idea of different levels of psychological science and discussed the differences in integration processes at these levels. We identified the ways facilitating integration processes on the above mentioned levels and substantiated creating a “matrix” of research methods, improving the existing models of psychological theories and heterogenous psychological phenomenology. The task to promote the formation of researchers’ integrative views was posed. The concept consists of the following positions. The integration processes at different levels of psychological science have their peculiarities; in particular, integration processes can differ by the ratio of spontaneity and controllability. The integration processes can be facilitated from the top (i.e. from the meta-theoretical point of view) by: a) creation of a general multidimensional meta-theoretical space (the matrix of theories) and arrangement of different theories in it, taking into account their epistemological coordinates, explanatory potential; b) creation of a matrix with&nbsp; research methods; c) construction of a model of the heterogeneous psychological phenomenology; d) determination of complex relationships between space-models of theories, methods&nbsp; and&nbsp; the psychological phenomenology. The integration processes can be facilitated from the bottom (i.e. from the point of view of the primary study of a particular psychological problem) by: the determination of a problem field in the modeled multidimensional space of the psychological phenomenology; considering the explanatory potential of different theories for a particular problem; using the resources (constructive components) of different theories, approaches (and their methods) for this problem research. Researchers’ integrative dispositions can be expanded, in particular, by activating their reflection on the factors forming their individual scientific views. In this context, it is important to analyze the dependence of a researcher’s individual cognitive “habitus” (according to P. Bourdieu): 1) on the cognitive trends of the epistemic community to which the researcher belongs, 2) on the dominant paradigm of the scientific field, 3) on the syntagmatic experience of trans-disciplinary research. &nbsp
Instantaneous contact tracing

CoronavirusNew analyses indicate that severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) is more infectious and less virulent than the earlier SARS-CoV-1, which emerged in China in 2002. Unfortunately, the current virus has greater epidemic potential because it is difficult to trace mild or presymptomatic infections. As no treatment is currently available, the only tools that we can currently deploy to stop the epidemic are contact tracing, social distancing, and quarantine, all of which are slow to implement. However imperfect the data, the current global emergency requires more timely interventions. Ferretti et al. explored the feasibility of protecting the population (that is, achieving transmission below the basic reproduction number) using isolation coupled with classical contact tracing by questionnaires versus algorithmic instantaneous contact tracing assisted by a mobile phone application. For prevention, the crucial information is understanding the relative contributions of different routes of transmission. A phone app could show how finite resources must be divided between different intervention strategies for the most effective control.Science , this issue p. [eabb6936][1] [1]: /lookup/doi/10.1126/science.abb6936
Sistem Pendeteksi Dini Plagiarisme Menggunakan Algoritma Levenshtein Distance

The academic world in Indonesia has growing rapidly which is marked by the development of science and technology. With all the facilities offered, technology has a positive and negative impact on life. One of negative impacts is plagiarism. The plagiarism often occurs among students, therefore detection of plagiarism needs to be done to avoid plagiarism. This reseacrh to detect the similarity of the text content of the document using the Levenshtein Distance algorithm. The type of document used is .pdf . The documents used are thesis proposals and publication papers. In the calculation speed test, the source document which count words 4405 with 3 comparative documents that have words 13465 count produces a calculation duration 3.57 seconds.
한국어 /ㄴㄹ/연쇄 복합어의 비음화와 유음화 발음 양상 연구

The purpose of this study is to investigate the pronunciation aspects of the /ㄴㄹ /sequence in Korean. Lateralization and nasalization in Korean language have been competing for a long time. Therefore, in this paper, it has been selected familiar vocabulary among compound words of the /ㄴㄹ/sequence presented as examples in the previous studies and analyzed three-dimensionally the frequency of pronunciation of these two phonological phenomena. In addition, this paper will analyze how pronunciations differ and which pronunciation to choose according to the way people who are familiar with Chinese characters(Hanja) or other foreign languages, teenagers who are not familiar with Chinese characters, and foreign Korean learners recognize the meaning of words. Based on these phonological phenomena, this paper will discuss in detail how the familiar vocabularies of three syllables are divided into [ㄴㄴ] of nasalization and [ㄹㄹ] of lateralization pronunciations in real life.
HUBUNGAN ANTARA ARTIKEL MENGENAI GAME DAN TEKNOLOGI INFORMASI PADA SCOPUS: STUDI BIBLIOGRAFI

Game as a media currently it has been implemented in several fields, including education. The implementation of games in education is said to be able to offer innovative and effective learning methods. In this new era, game is closely related with information science.this study aims to observe the connection between game and information science through the articles which are indexed by Scopus. This study is qualitative using blibliography method in collecting the data. The subjects are articles in Scopus website that contains the keywrods “ game” and “information sceince”. The data was analyzed using VosViewer to reveal the conncetion between tow of them. The  result shows that between tow subject there are more breaoder result that are divided into several sub-subject. Some parts of subject have connection with information that becomes bridges shows clear relationship about the trends of science subjects, includes game subjects in the information science family. It can concluded that there was a citation relationship and trends in writing scientific articles about games that were linked to information science.
Improving data identification and tagging for more effective decision making in agriculture

Data integration, data analytics and decision support methods can help increase agriculture challenges such as climate change adaptation or food security. In this context, smart data acquisition systems, interoperable information systems and frameworks for data structuring are required. In this chapter we describe methods for data identification and provide some recommendations. We also describe how to enrich data with semantics and a way to tag data with the relevant ontology. We illustrate the proposed approach in a case of high-throughput plant phenotyping.
The Occurrence of Fintech: The Insight into the World of Cryptocurrency from a Chinese Investment Perspective

The concept of cryptocurrency, as part of the digital currency phenomena has been around since 1998 but world-wide adoption only started after the birth of Bitcoin. Financial technology or Fintech is a term used to describe the technological innovation in the financial sector; has seen various major breakthroughs over the past decade, and Bitcoin was right at the center stage. Clearly, a lack of public trust on financial systems after the global financial crisis which describes to the financial crisis of 2007-2008 which started from the subprime mortgage market in the U.S has given cryptocurrency an opportunity to enter the market. Since then, the industry has been growing at a rapid pace driven by increasing acceptance, greater media coverage, sustained inflows, initial coin offering 3 (ICO) frenzy and increased transaction capacity. This study aims to fill the gap by providing insight into the world of cryptocurrency from a Chinese investment perspective. The findings will help the global audience (not limited to those with domicile in China) understand the implication of cryptocurrency as an alternative investment in China. Therefore, this study strives to contribute to the literature and open up a gateway for more future research on FinTech in China.
Transcendental approach to the development of humanistic worldview by means of integration of ethical and esthetical influences

Ukraine's educational tradition needs transcendental reconsideration of its ethical and esthetical components in the context of European cultural space. Importance of introducing the main categories of moral and aesthetic consciousness to students of Universities to form a holistic understanding of the genesis of moral and aesthetic culture of mankind can hardly be overestimated. Modern society sets new requirements for education and science in order to develop cultural and professional competencies. The proposed specialized analytical integration course will allow to methodologically provide an understanding of ethics oriented towards moral reflection and join the system of aesthetic knowledge and ideas. The specificity of this combination is built on the principle of interdisciplinarity of learning on a background of philosophical propaedeutic and consists in the presentation of the basic concepts and problems of the ethical and aesthetical block in their relationship with educational issues.