Reviewerly/exHarmony huggingface dataset:
Hybrid Quantum - Classical AI based approach to solve the Traveling Tournament Problem

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Perancangan Sistem Informasi Peminjaman dan Pengembalian Barang Laboratorium di SMK Negeri 1 Solok Selatan

Recording at the SMK N 1 Solok Selatan laboratory has been carried out by writing all transactions on paper or in folio notebooks. The difficulty in this recording process is in terms of data storage and retrieval. In addition, a manual filing system can cause some archival data to be lost or tucked away in one place and also cause some items to be lost, and labor officers still have difficulty managing reports of labor goods with frequent duplication of processing item data, and difficulties in updating item data. according to certain conditions. From this problem, an information system for borrowing and returning laboratory goods was designed using the Unified Modeling Language (UML) model and the Software Development Life Cycle (SDLC) method which in this model has several stages, namely the planning stage, the analysis stage, the design stage, the implementation stage, the testing phase and the maintenance stage. This information system for borrowing and returning laboratory goods is carried out by testing Blackbox testing and in accordance with this test system can facilitate the process of borrowing and returning goods between members and labor officers when borrowing and returning goods, as well as labor officers with the head of labor in the problem of borrowing reports and return of goods. Keywords: Information systems, Unified Modeling Language (UML), Software Development Life Cycle (SDLC),Laboratorium.
Crime Analysis and Prediction Model Using Data Mining and Machine Learning Techniques Comparative Analysis

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Sistem Informasi Monitoring Nilai Siswa Berbasis Website

This research was conducted to create a website-based student grade monitoring information system, where the process of scoring was carried out by the teacher writing students' scores directly into a grade recap book or folio paper with information on dates, student names, subjects, and the grades achieved. This system is done by designing, making, and implementing. The model used in this research is SDLC (System Development Life Cycle). In making this website in order to control the stages of work carried out by system analysis in building information systems. For testing this system is done using the Blackbox test. The results obtained from this study can make it easier for teachers in the process of value input, both in the form of daily practice scores, notes, daily tests, uts, uas and can make it easier for parents to monitor their children's activities in school. With this system, it is hoped that it can be useful for teachers in inputting values and can be useful for parents in monitoring the value activities of their children at school. Keywords : System, Value, SDLC, Monitoring
ALGORITHM FOR DETERMINING THE INTENSITY OF ACCESS TO DATA STRUCTURES IN A COMPUTER PROGRAM

The purpose of the research. The article discusses the problem of efficient use of computational resources. Describes the hardware prefetching mechanism. The purpose of the study is to find a solution that provides the ability to evaluate the quantitative use of the memory area in a computer program. This, in turn, is necessary to improve the efficiency of using the hardware capabilities of the computer. Results. As a result of the study, the author comes to the conclusion that the desired solution is an algorithm for determining the intensity of access to data structures in a computer program. The article presents the terminology that explains the name of the indicators used in the algorithm, describes the mathematical model for calculating the indicator and its limitations. A system of equations expressing the range of values of the data access intensity indicator was formulated. A three-dimensional model and two two-plane graphs were constructed to obtain a complete picture of the perception of the range of values. A detailed description of the algorithm and the presented mathematical model of the final and intermediate calculations allow us to develop an automated solution for certain tools (for example, compilers) used in the development of a computer program. The author concludes that the obtained indicator provides a quantitative representation of the use of shares of information (data areas) in a computer program for the subsequent assessment of the effectiveness of the computer program and the data structures used. Based on the results of the assessment, decisions can be made on the conformity / non conformity of the proposed solution and the need to modify the computer program or the data structures used.
Determinantal Priors for Variable Selection

Determinantal point process priors provide a probabilistic formalism for modeling repulsive distributions over subsets. For Bayesian variable selection, such priors encourage diversity within selected subsets through the introduction of a kernel matrix that determines which variables are similar and therefore less likely to appear together. We demonstrate the usefulness of such priors in the context of spike-and-slab variable selection. In contrast to traditional beta-binomial model priors which assign equal prior weight to subset models of the same size, determinantal priors automatically downweight unwanted multicollinear subset models, thereby reducing posterior entropy and highlighting the more promising submodels.
Interactive Webtoon System Using VR 360 Cam and Face Detection

VR 360 Cam is an emerging device. By combining this with the rising webtoon industry, we want to show people an immersive webtoon. Based on the python language, face detection was performed from images received in real time from VR 360 Cam through dlib, a machine learning library that supports python. The VR 360 Cam performs trekking on the detected face to receive each detected position value, and is converted into a natural face through rectification to be shown to the audience. The exhibition, which performed face detection from the VR 360 Cam, and showed the image of the person’s face mapped to the audience, drew meaningful results. Unlike cameras such as webcams, VR 360 Cam has a wider viewing angle, allowing more people to interact. Existing webcams can only interact with one person at a time because it is impossible to interact with more people due to a narrow angle when one person enters. On the other hand, interaction with multiple people is possible through VR 360 Cam. Various exhibitions were possible.
Mutated Random grid Approach to Share Secret Image into Visually Pleasing Shares

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Enhanced Security Model for Information and Online Transaction Processing System Using Mandatory Access Control (MAC) Mechanism

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
APPLICATION OF DISCOVERY LEARNING METHOD LEARNING TO WRITING PROCEDURE TEXT IN VOCATIONAL SCHOOL STUDENTS 1 SOREANG

This study aims to determine the writing results of class XI students of SMK Negeri 1 Soreang in learning to write procedural texts by applying the discovery method learning students can identify the procedural text and the content contained in the procedural text either oral or written in a creative, collaborative, and responsible way, full of love for the country and gratitude. The method that researchers use is the experimental method. The pre-experimental research design used was a one-group pretest-posttest design. This design consists of one group that is given a pretest to determine the ability of students before being given treatment. The sample of this research is class XI Elektro 1 with a total of 30 students. Data collection techniques that researchers use in research in the initial test (pretest) and the final test (posttest). Based on the research results, it can be seen from the data processing the ability to write procedural texts before using the discovery learning method, the mean value of the pre-test (pretest) was 59.75 and after using the discovery learning method, the average value of the final test (posttest) was 83, 75. So, it can be concluded that the application of the discovery learning method to learning to write procedural texts has been able to improve student learning outcomes.
Sentimental Analysis of Multimedia Contents Using Convolutional Neural Networks-Based Adaptive Emotion Prediction

Sentimental analysis is a technique of analyzing subjective text data, such as people’s opinions, dispositions, and views, through natural language processing. Recently with the development of internet and mobile, users’ dispositions of various themes tend to be predicted much. Users express their sentiments by using sentiment words, newly coined words, acronyms, and emoji, in order to present their dispositions. To predict users’ dispositions on the basis of their short texts, this study tries to analyze their described sentiments and judge whether their sentiment words are positive or negative. In this study, a sentiment tries to be predicted in the way of collecting content opinions and extracting sentiment keywords through morphological analysis and the consideration of newly coined words including emoji and acronyms. In this case, learning is processed in consideration of relevant content information, and an efficient sentiment prediction system is established with the application of weighting of the rating score to a representative keyword and with the use of deep learning. Through word embedding, a similarity between sentences and whether a sentiment word is positive or negative is judged in sentimental analysis. Based on the sentiment information on multimedia content, it is possible to judge the polarity of a multimedia content opinion and thereby to create a bond of empathy.
Effects of Using Picture Books on Reading Self- Perception Among Year Two Pupils at A Nationaltype Chinese Primary School

Pupils who feel good about their reading abilities tend to perform better in school. Research has shown that picture books will contribute to pupils taking the initiative to read. The purpose of this study was to examine the effects of picture books on reading self-perception among Year Two pupils at a National-type Chinese Primary School in Hulu Selangor. This study employed a quasi-experimental research with pre-test and post-test designs that involved 75 pupils and four picture books, namely, No David, Swimmy, Next Please, and The Dot. This study utilised the Reader Self-Perception Scale (RSPS) that consisted of 33 items and four scales (Progress, Observational Comparison, Social Feedback, and Physiological States). The collected data were analysed using SPSS version 24. The descriptive results indicated an increase in the Mean and Standard deviation scores for reading self-perception levels in the experimental group. A significant difference was observed in the scores between the control group and the experimental group following the intervention. The study subjects from the experimental group had enhanced their self-perception in reading compared to the control group. This study has shed greater light on the application of picture books in the classroom to boost pupils’ reading engagement. The results in this study can be used as a guide by pupils, teachers, and parents to enhance pupils’ reading self-efficacy levels, especially at the National-type Chinese Primary Schools.
Internet of Medical Things-Based Multiple Data Processing Techniques Optimized for Healthcare Environments

As IT technology has recently been combined with portable device (smartphones, tablets, etc.), demands for state-of-the-art infrastructure are growing. Among them, there is a need for IoMT technology that combines big data and IoT technologies into healthcare. In this paper, we propose a distributed management technique that can efficiently manage the health care (monitoring and chronic disease management, etc.) information of remote patients by applying various artificial intelligence-related technologies (big data analysis, blockchain, deep learning, etc.) to IoMT technology. The proposed technique facilitates the collection and management of data by equating the basic management structure of the data with the existing patient model of the hospital. In particular, since the information collected from the IoMT sensor is composed of multiple blockchains, the task weight of the endpoints is minimized. Also, the proposed technique improved the accuracy of the IoMT information by using the stratified cumulative probability values of the IoMT sensor information. Proposed technique have improved the efficiency of data collection processing by 14.7% over conventional techniques by automating the linkage between IoMT equipment on the central server for all actions of the IoMT device.
Analysis of Trademark Information for Use of Business Intelligence: Based on Goods and Services Information

In the era of the 4th industrial revolution, there is a growing interest in deriving management insights through the use of data such as big data and business intelligence. In addition, as the importance of intellectual property increases, interest in intellectual property information is increasing. In particular, cases and related studies using patent information as a material for business intelligence are increasing, but the use of trademark data is relatively poor. Among the trademark data, goods and services information represents a business activity area of a company. This study uses this to check the business activity status of a company to find out whether the trademark data can be used as a material for business intelligence. About 200,000 trademark applications are filed every year, and about 3.6 million trademark data are currently accumulated. By collecting the trademark data accumulated in the Korea Intellectual Property Office (KIPO) and checking the business activities of the company through Goods and Services information among them, we analyzed whether the trademark data can be used as a material for business intelligence. In particular, as of 2016, when the 4th Industrial Revolution was introduced, the trademark data for 3 years before 2016 and 3 years after 2016 were compared and analyzed. First, I checked if there was a change in the number of trademark applications. Second, through frequency analysis through Excel, changes in business areas and new establishments were analyzed through the increase or decrease of similar group codes that classified the same and similar products, and then visualized through Power Bi. Third, it was verified whether there is a relationship between the newly designated similar group code and corporate activities through internet news and market information. As a result of the analysis, first, it was found that all trademark applications of the target companies increased. The increase in the number of trademark applications means an increase in the Goods and Services that a company actually sells in the business community. Second, as a result of analyzing product changes in the three years before 2016 and three years after 2016, all similar group codes of target companies increased, and the increase in products related to the 4th Industrial Revolution was also remarkable. Finally, as a result of the analysis of the newly designated similar group code, it was found to be in line with the future business strategy of the target company learned through news or market information. As a result of the analysis, it was confirmed that trademark data can be used as a material for business intelligence as big data. Trademark data can be applied not only as products currently in business, but also as products to be used in the future, so it is expected that current and future business trends can be identified and reflected in management strategies.
Proposal of Classified Music Recommendation Model Based on Social Media

With the spread of smartphones, it has become common to always listen to music like background music, so it is necessary to create a music database that meets individual needs. By creating a music database using data from social media, music is classified in a different way from collaborative filtering, which is mainly used by existing music source providing platforms. Various other hashtags attached to posts with music titles used as hashtags are collected using web crawling, and music is classified based on the collected hashtags to reflect actual listeners’ opinions on music. It uses crawling to find posts on social media with music titles tagged as hashtags, then collects other hashtags attached to those posts. Hashtags collected by performing the same task with multiple music titles are collected, analyzed, and statistics are then classified to determine when and where the music fits. On social media, the feelings of the person who posted the post and the conditions such as the time zone, place, weather, and situation where the post was posted are reflected as hashtags. By analyzing the hashtags attached to the music title, it is possible to build a social media-based music database in which the opinions of various people are reflected as collective intelligence. It is possible to derive different results from existing collaborative filtering based on the past listening records of users of the platform used by most of the sound source providing platforms. Even if music titles are not written in complete form on social media hashtags, we plan to research them so that they can be used to build a database.
Cybersecurity Policy and Risk Management for Non-Face Service in Coronavirus Disease 2019 (COVID-19) Environment

What’s most important in the infrastructure environment of Corona virus (COVID)-19 is cybersecurity. Therefore, in this paper, we describe cybersecurity insights in the current situation of COVID-19 environment. We then focused on the cybersecurity management elements that must be considered when supporting to non-face services in the COVID-19 environment. First of all, in this paper, we research about the related issues, including COVID-19 epidemic spread. This study research about these real-COVID-19 issues and focused on security management that should be checked in terms of cybersecurity required for these environments. The factors derived as management points are the measures derived from the analysis of COVID-19 infection diseases situations and cases of cyber security attacks. For the purpose of research analysis, the characteristics of existing COVID-19 statistical studies on the spread of infections, or studies on visualizing them, or tracking solutions, were analyzed. From this, the approach was chosen to derive and purpose the necessary security elements in terms of cybersecurity management. Various related issues, including the spread of COVID-19 infectious diseases, include the study of predictive solutions to infection cases, the study of data collection and analysis related to infectious diseases, the study of human and robot interfaces and platforms to support non-face services, and the study of visual methods for identifying the spread of COVID-19 infectious diseases. Therefore, this study approaches at these real COVID-19 issues and focuses on security management insights that should be checked in terms of cybersecurity required for these environments. Key security management points to be found to support non-face-to-face services in the context of infection diseases of COVID-19 are cybercrime problems, security management, human or edge assets, and remote operations and home security management enhancements, enhanced monitoring in a safe operating environment, enhanced security in the supply chain, enhanced security in cyber physical system, and enhanced security management in privacy. In addition, the need and urgency of practical risk management were recognized by focusing on the case, importance and characteristics of attacks in terms of risk management of cyber security responding to the spread environment of COVID-19 infections. In this paper, security management elements were analyzed in COVID-19 environment. The managed items, that can help security managers check the main elements of what should be checked in the COVID-19 environment, were analyzed. Focusing on realistic issues, the elements of security management and risk management can be derived and provided in the related security awareness. These factors are key elements that should be considered in security measures when implementing to non-face services.