Reviewerly/exHarmony huggingface dataset:
Real-Time Motion Feedback System based on Smart Mirror Vision

Modern people do not have much time to take care of their health due to heavy workloads. Therefore, we propose a smart mirror system, through which people can take exercises at home and get corrections for their movements. The users' motions are sent to the server using Raspberry Pi. Once the server receives the video, it sends the correct movements back to the user. Upon receiving the correct movements, the feedback, which is provided from the Guide video, the user can compare their movements to it. The users can correct their motions by following the correct motions provided from the Guide video. The incorrect motion is determined by the gap of the angle of the user's joints from the Guide video. This proposed Smart mirror system is assumed to contribute to people's health due to its ease of use and greater accessibility.
A Secure Real-time Internal and External Network Data Exchange Method Based on Web Service Protocol

With the rapid development of Internet, Web Service technology is gradually applied to many areas of life. The security problems occurred in practical applications of Web Service has received more and more attention from the public. Aiming at the security problems existing in the application process of Web Service, a secure real-time internal and external network data exchange method based on Web Service protocol is proposed in this paper, it is agreed that the external network only allows data exchange with the internal network through the Web Service interface, that is, the internal network starts the Web Service service, the external network accesses the service, and then obtains the internal network data or informs the internal network for business processing. Web attack detection is put to the front end to ensure maximum security of Web Service system, which can meet the requirements of more secure and robust web applications while guaranteeing the business security of visitors.
Finger Tracking in Real-Time Human–Computer Interaction

Finger tracking is a technique which uses the bare hand to operate and to make interaction between human and computer much easier and faster. Finger tips were used extraction of information hand positioning and featuring. In this technique, we use the direction and position of fingers so that we get the desired segmented region of interest. Finger pointing system purpose is to replace pointing and clicking device like the mouse, screen with bare hand. This system has ability to track the movement of finger without 3D model building of the hand. In a live video fed, coordinates and movement of finger can be taken so that it may become mouse pointer’s coordinates and movement for interaction purpose of human–computer. Observation of performance of tracking is being done in promising condition, which includes firm gesture and obstruction from various alike objects. The purposed procedure has an effective computationally building, and it is appropriate for real-time application on the system with least complex computers.
C4.5 and Naive Bayes for Sentiment Analysis Indonesian Tweet on E-Money User During Pandemic

Public opinion is a public judgment regarding an event or a product. Traditional opinion data mining is often done to get conclusions about how influential an event or product is on society. In the current microblogging era, individual views of events and products can often be found in posts, such as Twitter. Based on the Twitter users' habits, opinion data can be collected young using the crawling process of events or products. In the event of a pandemic, the use of e-money has increased quite drastically. The use of e-money simplifies the transaction process because everything can be processed only through a smart device. However, the increasing number of e-money users, especially during a pandemic, may not be in line with the increasing positive opinion of e-money. However, some may use e-money only out of necessity. We present classification performance results for the C4.5 decision tree and Naive Bayes classifiers. Lastly, we compare each classifier's output using the voting-by-majority method to final predict positive or negative opinions about e-money in Indonesia. The proposed method can classify datasets from Twitter posts.
Towards programming and verification for activity-oriented smart home systems

Smart home systems are becoming increasingly popular. Software engineering of such systems hence becomes a prominent challenge. In this engineering paradigm, users are often interested in considering sensor states while they are performing various activities. Existing works have proposed initial efforts on incremental development method for activity-oriented requirements. However, there is no systematic way of ensuring reliability and security of such systems which may be developed by various developers and may execute in a complex environment. Some properties, especially those including timing constraints, need to be satisfied. In this paper, we introduce Actom, a framework for identification of activity-oriented requirements and runtime verification. Actom supports the development of the mapping between activities and required sensor readings (activity-sensor mapping). At runtime, Actom receives results of activity recognition and is able to trigger actuators to provide the required physical conditions for the activities, as determined by the activity-sensor mapping. Moreover, Actom continuously monitors whether activity-sensor mapping holds over a time period during the activity. We also discuss the evaluation plan to demonstrate the effectiveness and efficiency of Actom. The end product will be a systematic framework to facilitate the development of activity-oriented requirements and monitor properties with timing constraints to improve reliability and security.
Data Security and Privacy Requirements in Edge Computing

Several researchers analyzed the information security problems in edge computing, though not all studied the criteria for security and confidentiality in detail. This chapter intends to extensively evaluate the edge computing protection and confidentiality standards and the different technical approaches utilized by the technologies often used mitigate the risks. This study describes the latest research and emphasizes the following: (1) the definition of edge computing protection and confidentiality criteria, (2) state-of-the-art strategies used to mitigate protection and privacy risks, (3) developments in technical approaches, (4) measures used to measure the efficiency of interventions, (5) the categorization of threats on the edge device and the related technical pattern used to mitigate the attackers, and (6) research directions for potential professionals in the field of edge devices privacy and security.
영어교육 정책을 다룬 신문 사설 텍스트 분석: 평가어 체계를 기반으로

Using an analytic framework based on Martin and White’s (2005) Appraisal Theory, this study analyzed newspaper editorials on two English education policies promoted by the previous and the current Korean administrations: an absolute grading system for English scores in the Korean College Scholastic Ability Test; and a policy banning English education in public kindergarten and day-care centers. The results showed that the editorials utilized different types of appraisal (i.e., judgment or appreciation) depending on the editorial stance toward the target policies. Also, the analysis indicated that what the editorial writers focused on for appreciation appraisal to support their positions regarding the policies varied considerably depending on the newspaper’s political ideology, conservative or liberal. Another interesting finding is that the traditional relationship between the news media and the public, which is characterized by a unidirectional flow of information and influence, may undergo changes with diverse channels of social media becoming available for the public. Further research is needed to understand better the roles that the news media play in the formation of English education policy.
Contact-Tracing based on Time-Varying Graphs Analysis

The widespread diffusion of the SARS-CoV2 virus in the last months has forced many organizations in different socio-economic fields to study new technologies to counteract its presence. One of these technologies is contact tracing based on the collection of device interactions by using specific apps and device capabilities. By tracing and storing device interactions, when a person is revealed as infected after a specific test, other people who entered in contact with the infected one are notified for an early screening aimed at stopping the infection spreading.Several solutions have been developed at regional, national or continental level, according to different architectures (centralized, decentralized and hybrid) depending on the degree of desired privacy. However, none of them exploits interaction tracing to build graphs for early detection of critical identities.In this paper, we propose an architecture, a framework and an algorithm to identify, in quasi-real-time, critical spots in time-varying graphs inferred from device interactions captured by scanning Bluetooth advertisements. We show, by examples, how the approach could provide useful information for early detecting critical people in order to prioritize mass screening for improving the effectiveness and breaking infection chains. Finally, a prototype implementation is presented.
Possibilities for economic adjustments educational process in the ЕurАsЕС countries

The paper attempts to analyze the problems of adjusting the educational process in the EurAsEC countries that have arisen in recent decades in case of unforeseen circumstances. At the end of the 20th century, the ideas of globalization of all areas of the world community's activity led in the field of higher education to a thirst for immediate changes. What prompted the concern of the leading universities in Europe, which train highly qualified for the real sectors of the economy? An analysis of the current situation showed that the realities existing at that time pushed people to action, since analysts of higher education have repeatedly noticed that in the field of many areas of fundamental research, Europe is significantly inferior to the United States. Also noteworthy is the identity of the Nobel laureates. Independent commentators, beyond any emotion, pointed out that the United States has always invested significant amounts of money in the development of science. These problems gave rise to the Bologna process of reforming higher education in Europe. In this regard, the problems are considered and the prospects for the creation and development of a single educational space on the territory of the member states of the Eurasian Economic Union, considered by the authors as an important component of economic integration in the post-Soviet space, are identified. From the standpoint of taking into account foreign experience, as well as existing elements of educational integration within the framework of such associations. as EurAsEC, SCO, CIS, the main directions of integration interaction in the field of education of the EAEU countries are highlighted. The authors made attempts to formulate ways out of the current situation in the Eurasian educational space, especially in cases of unforeseen environmental conditions, such as a pandemic. Although in the educational space under consideration, the state of affairs with the organization, and in particular with funding, research and science is worse, this should not lead to ignoring the interests of both the students themselves and educational organizations in general. Insufficient funding is aggravated by many other factors, which together lead to the conclusion that EurAsia needs innovations designed to “modernize” the structure of education.
FLOT : Location Privacy preservation in Internet of Things

Abstract Internet of Things includes sensor enabled devices that are capable of doing a wide variety of tasks. As these devices capture huge amounts of information including the location of the user, these generate privacy concerns. In this paper, Fuzzy Logic Based Location Obfuscation Technique (FLOT), fuzzy logic based Location privacy preservation technique has been proposed. The technique was compared to other existing technique and the results indicate that the original location of the user is obfuscated to a great extent in the proposed technique.
Redefine the A in ABR for 360-degree Videos: A Flexible ABR Framework

360-degree video has been popular due to the immersive experience it provides to the viewer. While watching, viewer can control the field of view (FoV) in the range of 360° by 180°. As this trend continues, adaptive bitrate (ABR) streaming is becoming a prevalent issue. Most existing ABR algorithms for 360 videos (360 ABR algorithms) require real-time head traces and certain computation resource from the client for streaming, which largely constrains the range of audience. Also, while more 360 ABR algorithms rely upon machine learning (ML) for viewport prediction, ML and ABR are research topics that grow mostly independently. In this paper, we use viewport interchangeably with FoV in the range of 360° by 180°. As this trend continues, adaptive bitrate (ABR) streaming is becoming a prevalent issue. Most existing ABR algorithms for 360 videos (360 ABR algorithms) require real-time head traces and certain computation resource from the client for streaming, which largely constrains the range of audience. Also, while more 360 ABR algorithms rely upon machine learning (ML) for viewport prediction, ML and ABR are research topics that grow mostly independently. In this paper, we propose a two-fold ABR algorithm for 360 video streaming that utilizes 1) an off-the-shelf ABR algorithm for ordinary videos, and 2) an off-the-shelf viewport prediction model. Our algorithm requires neither real-time head traces nor additional computation from the viewing device. In addition, it adapts easily to the newest developments in viewport prediction and ABR. As a consequence, the proposed method fits nicely to the existing streaming framework and any advancement in viewport prediction and ABR could enhance its performance. With the quantitative experiments, we demonstrate that the proposed method achieves twice the quality of experience (QoE) compared to the baseline.
Quality Analysis Of SIRUP On Functionality And Usability Characteristics Using ISO 9126

Information technology is one of the keys to support the implementation of electronic-based government (e-Government) and good governance. To optimize the management of the procurement of goods and services. Regional Secretariat of the District. Sidoarjo launched a website-based application called SIRUP. SIRUP itself began to be used by the Regional Secretariat of the District. Sidoarjo since 2019. With the realization of the SIRUP system, it is hoped that it can ease the work of the State Civil Service (ASN) in making and announcing procurement packages because there is no need for manual input, which often makes mistakes in the procurement filling format. To determine the quality of an information system, ISO 9126 can be used especially on the characteristics of functionality and usability. Measurement of functionality characteristics is carried out in 2 stages, namely entering valid data and invalid data to see the response from SIRUP. Measurement of usability characteristics is carried out by distributing questionnaires to ASN SIRUP users to determine user perceptions about the ease of using SIRUP. The results obtained on the measurement functionality produce a success percentage value of 100% for PA (Budget Users) and PPK (The Committing Officer) permissions for valid data input. Meanwhile, for invalid data input, PA access rights resulted in a success percentage value of 83.33% and PPK access rights of 62.5%. The results on usability measurement get a total value of 3068 so that it is included in the “Very Good” category. Based on the results of this research, it can be used as a reference for developing SIRUP so that it can run even better in the future.
Asymptotic normality for the size of graph tries built from M-ary tree labelings

Graph tries are a new and interesting data structure proposed by Jacquet in 2014. They generalize the classical trie data structure which has found many applications in computer science and is one of the most popular data structure on words. For his generalization, Jacquet considered the size (or space requirement) and derived an asymptotic expansion for the mean and the variance when graph tries are built from n independently chosen random labelings of a rooted M-ary tree. Moreover, he conjectured a central limit theorem for the (suitably normalized) size as the number of labelings tends to infinity. In this paper, we verify this conjecture with the method of moments.
Too Good to Be True: Firm Social Performance and the Risk of Data Breach

In this paper, we draw from research in the information systems (IS) security and management fields to theorize that a firm’s social performance, as measured by its engagement in socially responsible (or irresponsible) activities (i.e., corporate social performance (CSP)), affects its likelihood of being subject to computer attacks that result in data breaches. Drawing from stakeholder theory, and positioning employees and external hackers as key stakeholders of the firm with respect to information security, we propose a set of hypotheses that elaborate relationships between aspects of a firm’s CSP and the likelihood of experiencing a data breach. To test our hypotheses, we compiled a unique dataset that consists of publicly available data on firms’ data breach incidents, external assessments of their CSP, and other firm-specific factors. Our contribution is an intriguing and previously unknown account of CSP as it relates to information security. Paradoxically, our results suggest that firms that are noted to have poor CSP records (i.e., CSP concerns) are no more likely to experience a data breach, while a positive CSP record (i.e., CSP strengths) in areas which are peripheral to core firm activities (e.g., philanthropy, recycling programs) results in an elevated likelihood of breach. Delving into this latter finding, our results suggest that firms that simultaneously have peripheral CSP strengths along with high CSP concerns in other areas are at increased risk of breach. The increased likelihood of breach for firms with seemingly disingenuous CSP records suggests that perceived ‘greenwashing’ efforts that attempt to mask poor social performance make firms attractive targets for security exploitation.
Dynamic chaos in the kicked “photon-qubit atom”

Abstract We study dynamics of a qubit coupled to a single photon mode in a high-quality resonator. For a weak coupling constant the qubit and photon form a long-lived bound state which may be called as a “photon-qubit atom”. We consider the stability and chaotic dynamics of the photon-qubit atom under the action of short electromagnetic pulses. The photon oscillator considered in the classical approximation. We plot the Poincare surface to indicate the appearance of the chaotic behaviour. It is shown that depending on the qubit and field parameters the system may be demonstrating the chaotic behaviour.
The Basic Concepts of the Normative Theory of the Synthesis of Information Technologies for Decision Support

The analysis of the most studied types of ignorance and their combinations is carried out in this paper. The concept of the normative theory of the synthesis of information technologies of intellectual support for the decision-making process under various kinds of ignorance has been proposed. The development of such a theory contributes to the formation and development of theoretical and practical aspects of the synthesis of information technologies for decision support, as a set of unified mathematical models and methods of intellectual and information support of the processes of formation and decision making in various fields of human activity, presented in the form of models, methods, approaches, procedures, techniques and algorithms for solving various applied problems.
Opponent Behavior Prediction in a Multi-Player Game with Imperfect Information

Taiwanese Mahjong (Tai-Mah) is a popular multiplayer tile-based game in Taiwan that presents imperfect information. Predicting the behavior of opponents is an essential aspect of Tai-Mah, and superior ability in doing so distinguishes master players from ordinary players. This paper presents a rule- based Tai-Mah AI using an opponent behavior prediction agent to optimize the AI. The agent can predict the probability of the Mahjong tiles that an opponent needs based on heuristic Tai-Mah principles, which is then verified by game records. It was observed that the AI exhibited better performance than the average human player even before the use of the prediction agent, with the winning percentage being 25.455% over 21.638%. After the implementation of the prediction agent, the performance of AI significantly improved compared to the previous version, with the winning percentage increasing to 28.830% over 17.953%. The proposed AI is easy to adjust, can reduce players' waiting time (since a Mahjong game requires four players), and improve players' gaming experience. Therefore, it is suitable for commercial use, and our AI is currently being used in the industry.
Polymerized RingCT: An Efficient Linkable Ring Signature for Ring Confidential Transactions in Blockchain

Abstract In this work, we study and refer the privacy protection protocol used in the blockchain, in particular, the Ring Confidential Transaction protocol in current popular anonymous cryptocurrency Monero. Based on our observations on the underlying linkable ring signature and homomorphic commitment schemes, we design a new efficient RingCT protocol for protecting user’s transaction information. Our scheme is built on the Schnorr ring signature, the well-known Pedersen commitment and signature of knowledge. We show that the signature algorithm used in our scheme satisfies the security requirements under random oracle model and adaptive chosen message attack. Moreover, compared with other ring confidential transactions protocols, our scheme can significantly save the cost of operation and interaction linearly under multi-account operation, that is, unlike other schemes, the cost of its underlying signature algorithm doesn't grow linearly as the spender’s accounts grow.
Accelerating Fireworks Algorithm with Dynamic Population Size Strategy

A dynamic population size strategy is proposed for the fireworks algorithm (FWA) to adjust the population size based to the search results of the current generation. When the currently found optimal individual is updated, a linear decreasing method is activated to maintain an efficient exploitation speed. The population size is reduced by 1 until the minimum preset population size is reached, then the population size remains unchanged. Otherwise, we randomly generate a larger population size than the initial population and expand the explosion amplitudes of all firework individuals artificially, which the expectation that we can escape current local minima. To analyze the effectiveness of the proposed strategy, we combined it with the enhanced FWA (EFWA) together, and run the EFWA and (the EFWA + our proposed strategy) on 28 CEC 2013 benchmark functions in three different dimensions. Each function is run 30 trial times independently, and the Wilcoxon signed-rank test is applied to check significant differences. The statistical results showed that the proposed dynamic population size strategy can not only achieve a faster convergence speed for the FWA but also can jump out of trapped local minima more easily to maintain a higher performance, especially for high-dimensional problems.