Reviewerly/exHarmony huggingface dataset:
Radiofrequency emanations of a single-photon detector

Quantum key distribution (QKD) offers the possibility of information theoretic secure key establishment. However, non-ideal behaviour of some components used in practical implementations causes security risks and loopholes that need to be addressed. Previously identified loopholes have resulted in changes to hardware and the invention of new QKD protocols. In this document, we report an investigation into the eavesdropping risk due to out-of-band radiofrequency emanations produced by a QKD receiver. We present experimental results that show a QKD receiver may produce significant pulsed-like emissions that can be detected by a passive eavesdropper antenna to identify clicks in single-photon detectors.
Harris hawks optimization algorithm with a linear regression model to estimate the number of the accidents, injuries and fatalities in Türkiye

Estimating the number of accidents, injuries and fatalities is one of the most important issuefor individuals and society. This is because traffic accidents cause a lot of serious consequences to people,such as personal injuries, damage to property, and loss of time. Therefore, in this study, a new model isdeveloped using the Harris hawks optimization algorithm (HHO) and a linear regression model forestimating the number of accidents, injuries and fatalities problem of Türkiye. In the experiments,Türkiye’s observed number of accidents, injuries and fatalities, population and number of vehicleshistorical records taken from Turkish statistical institute (TUIK) for the years between 2002 and 2022have been used. The historical data records of Türkiye for the years between 2002 and 2022 will be usedin this study for the first time. Three different linear regression models have been proposed to solve theproblems that are the subject of this study. This is because the number of fatalities, the number of injuries,and the number of accidents are different output parameters, and it is necessary to have a linear regressionmodel for each output parameter separately. In addition, the number of vehicles and population indicatorsare used as input parameters of the all proposed models. In the experiments, the HHO algorithm isimplemented on each problem (number of fatalities, number of injuries, and number of accidents) with 30independent runs. And, the experimental results are reported in terms of the best fitness values of the 30runs, the errors, and the relative errors. According to the experimental results, HHO method basedproposed models produces comparable performance on the problem dealt with this study in terms ofsolution quality and robustness.
An image crypt model based on enhanced two-dimensional sine-cosine chaotic map

Sensitive images are being transmitted over insecure media as network and information technology evolve at a rapid pace. As a result, people are becoming more concerned about information security, specifically digital image protection. For securing digital images, numerous image encryption algorithms have been proposed. From that, a chaotic map has been proved a perfect image protection tool as it contains efficient random behaviour. This work proposes a novel two-dimensional sine-cosine map for developing an image cryptosystem. In the developed framework, at first, two random chaotic series are generated by the developed sine-cosine map, then the given image is divided into two blocks, and each block is confused by utilizing different chaotic key series. In the diffusion process, the chaotic series is first changed into integer form, which is applicable for executing some arithmetic operation between chaotic values and image pixels. In the diffusion phase, each confused image block pixel is converted into binary form, and a bit shifting operation is executed depending on the integer form of chaotic series. In the final process, a bit-xor operation is performed between the partial diffused image and chaotic series to obtain the final encrypted image. The proposed model's security strength will be evaluated using statistical and differential attack analysis.
Real-Time Hand Gesture Recognition Using Depth Information and Path Analysis

Applications of human-computer interaction (HCI) have become common recently. Among a variety of methods, hand gestures are used in communication natural tools. Thus, hand gesture recognition has been popular in research, especially the vision-based methods with the advantage of contact-free characteristics. In this study, we developed a real-time vision-based dynamic hand gesture recognition system to continuously classify 6 different gestures: 4 directions of swipe and 2 orientations of rotation. With the development of depth sensor cameras, we segmented possible hand regions by a depth value of interest and tracked the hand locations with a combination of frame difference, connected components, and centroid calculation. In recognition, we analyzed the moving hand path by line, circle, and ellipse approximation. The proposed algorithm can be applied to the multi-view 3D synthesis display system and the defined gestures can be used for 3D model view control. The overall accuracy was 92.58% with over a 150 Hz gesture report rate. Furthermore, the swipe identification showed an accuracy of 84.5% on the 4 swipe gestures of the challenging DHG-14/28 dataset.
ANALISIS DIAGNOSTIK VARIABEL CUACA UNTUK ESTIMASI POLA CURAH HUJAN DI MEDAN MENGGUNAKAN MODEL BAYESIAN VECTOR AUTOREGRESSIVE

The territory of Indonesia is located in a strategic position in the tropics. Indonesia is in a position where the equator passes, making it vulnerable to changes in weather and climate. Big cities are increasingly facing many global challenges, so that the effects of climate change are causing urban areas to become more vulnerable to disasters. The city of Medan is one of the big cities that has been recognized as having different characteristics from the surrounding climate, which still has quite a lot of natural elements. Various community activities in Medan City can change the composition of the atmosphere which causes changes in the characteristics of the microclimate which will affect the weather and climate. Weather and climate have a dynamic relationship with other weather elements such as air humidity, air temperature and rainfall. Weather and climate patterns often do not match the pattern they should and are difficult to predict. The main elements of weather are temperature and rainfall, knowing the temperature and rainfall of an area can be used as material to describe the weather in that area. In expressing rainfall in an area, the relationship between air humidity, air temperature and wind direction and speed is very influential. Knowing the pattern of rainfall is very important to do in several activities. So that a diagnostic analysis of weather variables is needed to estimate rainfall patterns in the city of Medan using the bayesian vector autoregressive (BVAR) model. The estimation results using the Bayesian Vector Autoregressive (BVAR) model for Medan City found that the highest rainfall occurred in September at 571.87 mm and the lowest occurred in January at 54.59 mm with a method accuracy rate of 4.75% which indicates that the use of the BVAR method in estimation is very accurate
DEVELOPMENT OF A NOVEL SELECTION CRITERION FOR OPTIMUM CHOICE OF “M”IN THE “M- OUT -OF- N” BOOTSTRAP

Efron (1979) introduced the n-out-of-n bootstrap, which is indeed an important tool for statistical inference and has wide spread applications. However, there are situations, where the n-out-of-n bootstrap is not consistent. Thus, the m-out-of-n bootstrap was introduced to overcome the problem. It reduces the computational burden associated with bootstrapping. But, the problem with m-out-of-n bootstrap is the choice of m, which is one of the important aspects in bootstrapping. In this paper, we study criteria for choosing best value of m in m-out-of-n bootstrapping in linear regression. This is a pure computational study that gives general criteria for optimizing m in m-out of-n bootstrap, under which the chosen m ( ) behaves properly.
Design Mechanism of Network Public Opinion Analysis System Using Natural Language Processing

Under the rapid development of social networking, many network platforms frequently appear and show a vigorous development trend. Based on various social platforms, people comment on the Internet anytime and anywhere and express their views and cognition on social events. Netizens release subjective information with personal bias on online platforms. The information spreads with a large number of following comments from other netizens. Because this information is subjective, the emotional fermentation of the forwarded comments leads to the situation of further expansion. In this context, we proposed the design mechanism of the network public opinion analysis system based on natural language processing. We analyzed the theoretical basis of natural language processing, including word segmentation, text feature extraction of natural language processing, and network structure based on deep learning, and proposed the task and model structure design mechanism of natural language processing, including the task of natural language processing, model structure design, and evaluation index.
Real-time Deadlift Form Analysis Using Support Vector Machine Algorithm and Kinect V2 Sensor

We developed a real-time program utilizing the Support Vector Machine (SVM) algorithm in conjunction with the Microsoft Kinect V2 sensor to analyze the proper execution of the conventional deadlift exercise. A user-defined system was developed to detect movements using the Support Vector Machine algorithm in programming languages and assess the form of the deadlift. We calculated the posture angles based on Chaffin’s model to estimate the errors from the user’s form in real-time and display numerical values regarding the errors. The results of the system were evaluated based on a professional trainer’s analysis. The system was validated by comparing it with five experienced trainers, and the outcomes demonstrated an impressive accuracy rate of 90.54% in correctly identifying the proper form of the conventional deadlift exercise. The proposed system effectively discerned correct and incorrect forms of the conventional deadlift in real-time, leveraging the SVM Image Processing Algorithm and Kinect V2 Sensor. Future research is necessary to overcome the study’s limitations and enhance its accuracy.
Features of Realization of Research Activity of Students in Higher Education Institutions of the Republic of Kazakhstan

At present, the formation of a young scientist takes place in the conditions of intensive development of digitalization, prompt receipt of various information, dynamic changes in innovative technologies and opportunities for their use. The formation of predisposition to scientific research of university students begins to change, interest in scientific research and the performance of student science is falling. For this reason, a serious change in the situation is necessary, the implementation of systematization of the influence of socio-economic factors on the effectiveness of student science is required. Previous studies have shown that one of the important factors in attracting students to research work is the personality of the teacher, his scientific potential, scientific achievements and interest in research work. The main identified patterns of influence of socio-economic factors on the effectiveness of research activities in higher education institutions of the Republic of Kazakhstan are described. The authors emphasize the importance of the identified regularities for use in further research on the development of conceptual provisions for improving the research work of students. The article was prepared in the framework of grant financing agreement concluded with the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan (IRN project 19676691).
Reversed audio file content subset identification over existing files using the deduplication technique

The prevalence of cloud storage among users has surged, yet it's imperative to maintain server efficiency as data volume grows. Repositories are brimming with repetitive content, while users continue to demand consistent daily performance despite the extensive storage capacity. Service providers, however, cannot restrict users from uploading multimedia files that already exist on the server. This poses a challenge for storage administrators striving to enhance services and pinpoint duplicate files. Deduplication emerges as a viable solution to alleviate the server's load. This study proposes a method to identify redundant audio content and reversed audio files within existing data, as well as detect reversed audio content. These efforts augment the existing, refined super set identification algorithm.
A Study of Strength Prediction of Multifiber Concrete Based on Improved Stacking

In order to solve the expected problem of concrete strength in actual engineering, a mixed concrete database was constructed. Machine learning method was used to use multiple single learners and stacking integrated model. The results showed that the effect of stacking integrated model was far better than that of single learner, and the stacking model was improved. Obtain excellent prediction model of mixed concrete. The performance indexes of MAE, RMES and R2 of this model were significantly better than that of any single learner, and were significantly improved compared with the ordinary stacking model. It provides a reference for the prediction model of civil engineering industry in the future.
Performance Evaluation of QUIC Protocol in Message Replication Overhead in PBFT Consensus using NS-3

The development of protocols in the ICT world to increase reliability and speed in data traffic gave an inspiration to a new protocol called the QUIC protocol. The QUIC protocol is expected to improve the performance of Transport Control Protocol (TCP). In addition, developments also occur in blockchain technology where the protocol used in this technology still uses the existing TCP protocol. In this paper, we aimed to research whether the QUIC protocol implementation in blockchain infrastructure could improve the performance of the blockchain infrastructure itself, in terms of the time required for transactions. We focus on conducting research to measure the overhead time reduction of Practical Byzantine Fault Tolerance (PBFT) consensus by implementing the QUIC protocol, the consensus propagation process is a crucial phase in Blockchain. For simulation we used NS-3 discrete simulation environment to conduct scenario and our simulation result showed that the QUIC Protocol have potential significant performance compared to TCP Protocol in large datasets, on the other hand QUIC protocols have more room for improvement by implementing appropriate congestion algorithms.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SHARE (TPS) TERHADAP HASIL BELAJAR SISWA PADA MATERI BENTUK ALJABAR

This research aims to find out that the average learning outcomes of students who study using the Think Pair Share (TPS) learning model are higher than the average learning outcomes of students who study using the Direct Instruction (DI) learning model. The population of this study were all class VII students at Garuda Manado Middle School. The samples taken in this research were class VIIA as the experimental class and class VIIB as the control class. Data analysis to test the hypothesis that the average learning outcomes of students studying algebraic material who studied using the TPS learning model were higher than the average learning outcomes of students who studied using the DI learning model, was carried out using the t-test with a significance level of α = 0.05. The value obtained is t_count = 3.75 &gt; t_table = 1,729, thus it can be concluded that the average learning outcomes of students who study using the TPS learning model are higher than the average learning outcomes of students who study using using the DI learning model
Pengembangan E-Book Fabel Nusantara Untuk Meningkatkan Kecepatan Membaca Pada Siswa Kelas V Sekolah Dasar

Learning to read is part of Indonesian language subjects, one of which is encouraging students to read quickly and find main ideas. This research aims to explore the use of Indonesian fable electronic books in learning to read. A research and development (R&amp;D) approach was used in this research to assess product feasibility. This approach aims to do two things: (1) evaluate the product's efficacy in achieving goals; and (2) improve the product based on user and rater feedback. Methods and development start with material analysis, ideas, product improvements, conducting and revising product tests to validate the final product. This research was attended by twenty-five fifth grade students from one of the state elementary schools in Ogan Komering Ilir Regency, South Sumatra Province. Research findings show that the Fable Nusantar e-book is suitable for use as a teaching tool to improve the reading skills Learning to read is part of Indonesian language subjects, one of which is encouraging students to read quickly and find main ideas. This research aims to explore the use of Indonesian fable electronic books in learning to read. A research and development (R&amp;D) approach was used in this research to assess product feasibility. This approach aims to do two things: (1) evaluate the product's efficacy in achieving goals; and (2) improve the product based on user and rater feedback. Methods and development start with material analysis, ideas, product improvements, conducting and revising product tests to validate the final product. This research was attended by twenty-five fifth grade students from one of the state elementary schools in Ogan Komering Ilir Regency, South Sumatra Province. Research findings show that the Fable Nusantar e-book is suitable for use as a teaching tool to improve the reading skills of fifth grade students as evidenced by the increase in reading speed on the learning outcomes obtained by students. of fifth grade students as evidenced by the increase in reading speed on the learning outcomes obtained by students.
Comparative Analysis of Commnicative Skills and AQS (Average Quality Score) of Students in Various Conditions of Learning Activities’ Organization

Key words: effectiveness of educational activities, academic progress, student, learning motivation, communication skills This article addresses topics pertaining to students’ academic performance and communicative skills. Educational activity is a purposeful activity, the maintenance of which leads to mastery of action strategies in the area of scientific concepts. The content of educational activities consists of ways to solve relevant epistemological problems. The requirement of educational activity is the desire of students to master theoretical knowledge in a particular subject area. According to D.B. Elkonin, the result of educational activity is a change in the student’s personality, as well as his development. Any educational activity is the conditions for scientific knowledge: it, first of all, presupposes the acquisition of new skills and ways of working with scientific concepts. As a result of the study, we presented the comparability indicators of students’ communicative abilities and their academic performance. The aim of the article is to analyze indicators of the level of communication skills and student performance in various educational conditions. The practical significance of the study is the data obtained and practical analysis that will help specialists using practical work.
TSP METHOD USING NEAREST NEIGHBOR ALGORITHM AT PT. J&amp;T EXPRESS IN BANDUNG

Effectiveness and efficiency are very important for an expedition company in optimizing the delivery of goods by a courier. The Traveling salesman problem (TSP) method using the Nearest Neighbor Algorithm can optimize the delivery of goods to all consumer location points with only one visit in one trip. The purpose of this study is to find the shortest route using the TSP method based on the travel distance data from drop point PT. J&amp;T Express Sarijadi Bandung to all consumer points and back to this drop point. This data is processed using Matlab and Excel Solver software based on the Nearest Neighbor Algorithm. The results of this study show that the TSP method produces the shortest route, which is 1,944 meters. The delivery route generated by this method provides travel distance efficiency of 50.09% from the route without the TSP method, which is 3,960 meters. Thus, it is expected that there will also be optimization of time and transportation costs in this delivery.
Design an Automatic Posture Discrimination System for Operators in Workplace

To ensure the safety of personnel in the workplace, we developed a system that integrated visual recognition and skeleton analysis to detect the posture and behavior of production line operators within the normal working range. At the same time, the system recorded the duration of each posture during the working period to prevent working overtime in harsh working environments and occupational accidents. We integrated the contemporary algorithm to develop a posture estimation with network cameras to achieve real-time skeleton analysis in images, determine the current posture and record its duration, and finally determine whether the personnel’s sustained posture exceeded the preset time limit and issued a warning. The research results showed that the most common situations for workers on site were prolonged sitting and standing. The system determined whether an accident occurred through the judgment of previous and subsequent actions with an action recognition accuracy of up to 95%, effectively improving the safety of the workplace.
USE OF PARALLEL COMPUTING FOR SECURITY METHOD IMPLEMENTATION BASEDON THE SHAMIR SCHEMEIN A MEDICALINFORMATION SYSTEM

Medical information systems currently are becoming the most popular tools for processing,storing, organizing, and transmitting patient medical data. Medical examinations can be presentedin the form of files in various formats and vary greatly in terms of size (from a few bytes to hundredsof gigabytes). For example, some binary files are small and lightweight because they containonly doctors' conclusions in the form of a text description. However, records of night videomonitoring of a patient or DICOM files of human organs CT scans containing several hundredslices, can reach hundreds of gigabytes in size. Accordingly, large files require significant computingresources when transferred from server to server. In addition, when using the security method,which is an algorithm of a secret sharing (medical output file) according to the Shamir sharingscheme, operations to split the secret into parts and merge the parts together may take longer inserial operation than in parallel way. Therefore, it seems possible to speed up the processing ofbig data without reducing the level of security. The main purpose of the work is to confirm thehypothesis of reducing time to perform the operation of splitting and merging parts of a secretbased on parallel computing tools withing implementing the security method according to theShamir secret sharing scheme in a medical information system. The object of the study is a securitymethod developed by the author for implementation in the information security subsystems of amedical information system. As part of the study, author analyzed the most effective tools for parallelizingprocesses (like MPI and OpenMP). MPI has been used as a tool as much more suitablefor the current purpose. Moreover, several waves of experiments have been run (analysis of timedepending on the number of parallel streams and the number of characters contained in theDICOM file) and allowed us to prove a concept of parallelizing the secret exchange algorithmbased on the Shamir scheme, achieving almost linear acceleration using the MPI library