Reviewerly/exHarmony huggingface dataset:
REKOMENDASI PROMOSI JABATAN STRUKTURAL MENGGUNAKAN METODE FUZZY LOGIC PADA LPP RRI BUKITTINGGI

Human resource management affects the development of an organization. Systematics in deciding the filling of structural positions and career paths of an employee can be carried out effectively and efficiently by implementing a decision support system. The application of the fuzzy logic method can provide an alternative for a Head of Station in determining employees, to fill a structural position. Decision support systems with fuzzy logic can be useful as a basis for consideration in decision making. So that the Station Head can make a decision to select appropriate employees to be promoted to structural positions in the positions of Head of Sub-Division of Administration, Head of Affairs, Head of Section and Head of Sub-Section at the LPP RRI Bukittinggi. The research was carried out by reviewing and evaluating the ongoing system so as to produce an assessment. The assessment has several attributes that are requirements for evaluation. These attributes are; managerial ability, competence and personality. The fuzzy logic method is considered very appropriate and has several advantages in supporting the decision on the feasibility level of an employee to be promoted. Keywords : Fuzzy Logic, Decision Support, Promotion, Staffing, Appraisal
PENERAPAN METODE VIKOR DALAM PENILAIAN KINERJA TENAGA PENDIDIK

The assessment system for educators is a system used to assess the performance of the best educators. In general, the performance assessment of educators is carried out annually with the aim of improving and improving their performance. The results of this performance become a decision-making tool such as promotion, dismissal, transfer, intensive giving or providing feedback for the educators. However, the number of educators who will be selected is the driving force for assessing the performance of the educators, because it is expected that an automation process uses technology to launch these educators. The purpose of this study was to apply the VIKOR method in assessing the performance of educators. The method used is the VIKOR method, the basic concept of VIKOR is to find the weighted sum of the performance appraisals for each alternative on all attributes. The VIKOR method can help decision making to shape values into the best alternative. The assessment in the research that has been carried out using 4 (four) assessments are: Pedagogic, Personality, Social and Professional with criteria for each competency using the VIKOR method. In this study, testing was carried out on 10 data for educators.
Special issue "Artificial Intelligence (AI) and Strategic Communication in the African Context"

The proposed special issue seeks to explore the developments, implications, opportunities and challenges of artificial intelligence (AI) in the field of strategic communication.
Virtual Fitness Assistant Using Machine Learning

Artificial Intelligence plays a major role in modern healthcare and fitness domain by improving and enhancing individual exercise habits, tracking health behaviour, and analyzing repetitive exercise pattern and subsequently use the data to guide in fitness improvement. The thesis proposes, develops and evaluate a smart and effective AI solution based virtual gym assistant in real- time streaming video using CNN.The predominant goal of the proposed task is to apprehend and explore the art of 3D Human Pose Estimation and applying them to different aspects of the task of posture correction in exercises.Over the time, Convolution neural networks (CNN) algorithms have shown significant improvement in the area of human pose estimation on real-time datasets .In this work, we have developed a production-ready application which not only helps people work out effectively at the comfort of their homes but also provides them with real-time feedback on their posture, and act as a personal virtual trainer that will help them to do their exercises in efficient manner. Firstly, we have explored different algorithms and deep learning framework for 3D human pose estimation that could help detect different postures by representing human joints using key-points. These key points help in analyzing the joint coordinates and calculating the angle between joints using mathematical formulation. Finally, we have use these joints coordinates on evaluating pose made by a person on predefined workouts such as biceps, leg-raise, squats and push-ups. Keywords— Image Processing, Human pose detection
Canny and Morphological Approaches to Calculating Area and Perimeter of Two-Dimensional Geometry

Calculating area and perimeter in real-world conditions has its challenges. The actual conditions include applications in the medical field to measure the presence of tumors or the condition of human organs and applications in geography to measure specific areas on a map; applications in architecture often calculate the area and perimeter of buildings, interior design, exterior design, and other uses. Technology can make it easier with automatic calculations. Mathematical methods and computer vision techniques are required to create automated systems. The Canny method is usually used, which is good enough for detecting edges but not sufficient for measuring irregular geometric shapes. This paper aims to calculate the area and perimeter of a geometric shape using the Canny method and geometry. Data samples in various forms are used in this study. Calculating area and perimeter using the Canny method involves obtaining the length (X,Y) of the RGB image converted to HSV. Edge detection values are used to calculate the area and perimeter of objects. The morphological method uses binary image input as input data. Then proceed to the convolution process with structuring and calculating the area and circumference of objects. Based on the research results, calculating the area and circumference of objects is more effective using morphological methods. However, the level of accuracy is affected by the selection of structuring elements (strels) which must be optimal and global.
Application of K-Means Clustering on School Identification in the Distribution of Assistance Funds for DPRD Members

In this study, the k-means algorithm was used to group schools and categorize DPRD grants into very feasible, feasible, and impractical categories for better focus. Based on the results of computational analysis using the K-Means clustering algorithm using the Euclidean distance equation for the distribution of DPRD suction subsidies from 52 schools, 28 schools are in the very decent category and 11 schools are decent. In that category, 13 schools were found with fewer categories. executable category. RapidMiner Studio v.7.6 software can group schools based on the distribution needs of DPRD suction tools for more effective and efficient results.
Shape Recognition Using Segmenting and String Matching

This paper presents an efficient way to represent objects. The image of the object is converted into an edge image. Important points of the curve are identified by the dominant point detection method. A line segment of every two consecutive important points is a categorical line segment or a non-linear line segment. Nonlinear segments are fitted as circular arcs. In addition, the compactness of approximate polygons is used as a feature in the shape recognition process. Experimental results show that using this new global feature has better recognition performance than traditional features such as relative distance, length and angle. Overall the new method is efficient and effective in representing and recognizing shapes.
FORMATION OF PROFESSIONAL TOLERANCE OF FUTURE TEACHERS AS A SOCIALLY SIGNIFICANT VALUE

The article reveals the problem of creating a tolerant educational environment and the formation of professional tolerance of participants in the educational process in the context of higher education in some theoretical and practical aspects. The theoretical prerequisites for the formation of the main scientific definitions, such as «tolerance», «professional tolerance» and «tolerant educational environment» are considered. An attempt was made to formulate one's own well-founded understanding of the named categories. The presented practical experience of activities, proposed methods and forms of involvement of education seekers of the MUNICIPAL ESTABLISHMENT «KHARKIV HUMANITARIAN-PEDAGOGICAL ACADEMY» OF KHARKIV REGIONAL COUNCIL to the culture of tolerance are the result of the use of various educational technologies in the educational process, which contribute to the gradual formation of professional tolerance of future teachers as a socially significant value . We conduct various types of classes: problem-based lectures, seminars, and practical classes with the aim of forming the professional tolerance of future teachers. On them, we used such methods as solving problem situations; technology «Unfinished sentence», «Discussion»; joint solution of pedagogical problems and pedagogic tasks. Also, in the process of formation of pedagogical tolerance, we used variable forms of organization of tolerant interaction of participants in the educational process: trainings, role-playing games, etc. The systematized material of the article allows us to draw a conclusion about the timeliness and expediency of disseminating the experience of activities on the formation of professional tolerance and involvement in the values of society.
Correction to: Rule-Based Runtime Mitigation Against Poison Attacks on Neural Networks

In an older version of this paper, there was error in the figure 3, (e) and (f) was incorrect. This has been corrected.
Underwater image enhancement based on fusion of intensity transformation techniques

The exploration of underwater environments has increased in recent years. The use of underwater robotic vehicles for search and rescue, monitoring and sea life maintenance has been the subject of research involving the academic and industrial segments. Under this light, the enhancement of underwater images is a paramount stage for the execution of the tasks above. aintIn this paper, we propose an underwater image enhancement approach to improve the quality of underwater images through the fusion of image transformation methods. To validate the proposed methodology, experiments using real-world underwater images were carried out. From qualitative and quantitative analysis we demonstrate the accuracy and effectiveness of the proposed approach. For the Peak Signal-to-Noise Ratio (PSNR) metric the obtained result is 23.185. Meanwhile, for the Structural Similarity Index (SSIM) metric the obtained result is 0.859, outperforming state-of-the-art underwater image restoration techniques.
Potential Class on the Educational Performance of High School Students Classification and influencing factors

Objectives In this study, the educational performance variables of high school students were selected and the potential class was classified and the factors influencing them were analyzed.&#x0D; Methods For this purpose, the 4th data of the Daegu Education Longitudinal Study (DELS) were used as the data for the study, and 970 male students and 891 female students were targeted at a total of 1,861 people. Multinomial logistic regression analysis was conducted to search for influencing factors according to the classification of the latent class.&#x0D; Results The potential class was classified into ‘educational performance lower type’ (23.5%), ‘academic performance lower type’ (29.6%), ‘education performance middle type’ (25.9%), and ‘education performance higher type’ (21.1%).&#x0D; Conclusions Factors influencing the potential class were found to have an effect on morality, self-esteem, academic self-efficacy, parents' educational support, child relations, friendship, teacher feedback, and school career experience. It is believed that it will provide many implications for studying what educational methods are suitable for students' characteristics by exploring factors that have a significant impact on their overall growth.
The Moderating Effects of Ego-Resiliency on the Relationship between School-Stress and Depression of High School Girl Students

Objectives The Purpose of This study is to verify the moderating effect of ego resilience on the relationship between school stress and depression in high school girl students.&#x0D; Methods For this purpose, a questionnaire was conducted targeting first and second graders of humanities high school located in U city Korea, and 303 copies were used for the final statistical analysis. For the collected data, descriptive statistics, correlation analysis, and hierarchical regression analysis were performed for each variable using the SPSS 22.0 statistical program, and the moderating effect was verified using Process Macro for SPSS V3.5 Model 1.&#x0D; Results First, school stress (r=.757, p&lt;.001) showed a positive correlation with depression, and between ego resilience (r=-.449, p&lt;.001) and school stress, ego resilience (r=-.415, p&lt;.05) and depression showed a negative correlation. Second, it was confirmed that ego elasticity acts as a moderating variable in the relationship between school stress and depression in high school girls students(β=-.245, p&lt;.001). It was found that the regression coefficient of the interaction term by school stress and ego resilience had a negatively significant relationship.&#x0D; Conclusions This study is meaningful in that it provided a basis for developing and utilizing counseling and education programs for enhancing self-resilience by examining the moderating effect of ego resilience in the relationship between school stress and depression in high school girl students.
On How to Improve the Training and Certification of Scientific Staff

Only highly qualified personnel, especially scientists and specialists, can develop new technologies and solve the complex challenges of a rapidly changing world. The article describes the current state of scientific higher education in Russia, identifies several salient functions of the education system (e.g., awarding degrees, providing scholarships, forming dissertation councils), and considers how these functions can be performed with greater efficiency in order to improve higher education and science. To increase the efficiency of graduate programs in Russia, the Higher Education Commission should be allowed to propose priority areas of scientific research, to assess Russia’s demand for scientists, and to influence scientific education according to the identified priorities. The network of postgraduate and doctoral programs, as well as the formation of dissertation councils, should be revised at the legislative level to better utilize existing resources and direct scientific progress. In addition, it is necessary to improve the public administration of science, to restructure the network of postgraduate and doctoral programs, and to provide government funds for the training of scientific personnel that are demanded by the scientific labor market.
العلاقة بين الإعلام والإجرام

Crime is a phenomenon that exists in all societies. At all times and places, crimes have been committed and spread in societies regardless of the level of culture, economic, scientific, and social progress for society members, and regardless of the perpetrators of crimes and their education, culture, wealth, and poverty. The media plays a large role as one of the influences of criminal behaviour. By following the inductive and analytical approaches, this research aims to illustrate the impact of the print, audio, visual and electronic media on the criminal phenomenon. This research concluded that the media has an influential role in the increase of the crime rate, even if it is indirectly, where broadcasting a crime on social media has contributed to the increase in its commission by others in the same country or in other countries. Therefore, the researcher recommends the necessity of imposing censorship on what is published through the media, especially electronic media, and that the family must carry its responsibility in following up and monitoring its members to evaluate their behaviour and prevent them from engaging in criminal behaviour. Finally, the researcher recommends conducting future research on the relationship between the media and the criminal phenomenon, especially the role of social media in influencing criminal behaviour.&#x0D; &#x0D; ملخص البحث&#x0D; الجريمة ظاهرة موجودة في جميع المجتمعات، ففي كل زمان ومكان وجدت الجرائم وانتشرت في المجتمعات بصرف النظر عن درجة الثقافة والتقدم الاقتصادي والعلمي والاجتماعي، وبصرف النظر عن مرتكبي الجرائم ودرجة تعليمهم وثقافتهم وثراهم وفقرهم. وتلعب وسائل الإعلام دوراً كبيراً كأحد مؤثرات السلوك الإجرامي. وباتباع المنهجين الاستقرائي والتحليلي، يهدف هذا البحث إلى بيان أثر وسائل الإعلام المقروءة والمسموعة والمرئية والإلكترونية على الظاهرة الإجرامية. وخلص هذا البحث إلى أن لوسائل الإعلام دوراً مؤثراً في ازدياد معدل الجريمة ولو بشكل غير مباشر، فقد ساهم نشر الجريمة على وسائل التواصل الاجتماعي في ازدياد ارتكاربها من قبل آخرين في نفس الدولة أو في دول أخرى. ولذا يوصي الباحث بضرورة فرض رقابة على ما يتم نشره عبر وسائل الإعلام خصوصاً الإلكترونية، وأن تنهض الأسرة بمسؤوليتها في متابعة ورقابة أفرادها لتقويم سلوكهم ووقايتهم من الانخراط في السلوك الإجرامي. وأخيراً يوصي الباحث بمزيد من الدراسات في العلاقة بين وسائل الإعلام والظاهرة الإجرامية خصوصاً دور وسائل التواصل الاجتماعي في التأثير على السلوك الإجرامي.
Features of organizing an elective course on non-standard problems for pupils of grades 5-6

Currently, one of the relevant topics is the inclusion of elective courses in the school curriculum. The education of creative potential, the development of logical thinking, a certain contribution to hardening will lead to a significant result. This article will focus on the elective course program for solving non-standard tasks for grades 5-6 of secondary school. The introduction provides some information about the logical problem. At the same time, the definition of a non-standard report is given. Information about the elective course has been announced. In addition, approaches to the organization of an elective course are provided. About twenty topics have been selected for the organization of this elective course. The topics listed are listed according to the number of hours. We are talking about the logical sequence of the received topics. We are talking about the fact that it is compiled in a logical sequence, based on the shedule plan of the secondary school and comparison on the topics covered. In particular, importance is also attached to the sequential arrangement of algebraic and geometric problems. In order to reveal the meaning of the chosen topic, reports on each topic are provided. The solution of all problems is shown. In the final part, we are talking about preparing pupils for the release of a series of reports on these topics. In the future, it is planned to issue a specific methodological manual for the elective course. Keywords: non-standard problems, elective course, logic, secondary school, methodical manual,&nbsp; problem book.
Detection and Classification in Ballistic Drone Capturing Based on Transfer Learning Networks Using Infrared Images

Unmanned aerial vehicles and drones are flying objects carrying small payloads for various applications, including agriculture, photography for weddings & religious ceremonies, e-commerce deliveries, remote sensing, 3D mapping, surveillance and defense. These flying objects also called as drones are available in two variants; 1. Fixed wing propeller type, and 2. Multi-wings propeller type. Nowadays, UAVs and Drones are the primary threat to the national security on the mainland and the line of actual control. Generally, these threat-rising drones can be eradicated by anti-missile techniques, which are not economical however will destroy them. The objective of the work here is to design and develop a ballistic drone capturing system comprising two main steps; 1. classification of UAVs from the flying birds and 2. Capturing the UAVs without causing significant damage to the drone. Here, the methodology uses computer-generated infrared images of the drone in the pretrained network architecture, which acts as the Convolution Neural Network (CNN) for classifying drones and birds. The performance of AlexNet and ResNet-50 performs better and it shows 100 percent efficiency and small distribution with more stability. In the near future, the ballistic capturing system will be designed and developed as a product, which would support acquiring data about malicious drones.
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices

The increasing spread of artificial neural networks does not stop at ultralow-power edge devices. However, these very often have high computational demand and require specialized hardware accelerators to ensure the design meets power and performance constraints. The manual optimization of neural networks along with the corresponding hardware accelerators can be very challenging. This paper presents HANNAH (Hardware Accelerator and Neural Network seArcH), a framework for automated and combined hardware/software co-design of deep neural networks and hardware accelerators for resource and power-constrained edge devices. The optimization approach uses an evolution-based search algorithm, a neural network template technique and analytical KPI models for the configurable UltraTrail hardware accelerator template in order to find an optimized neural network and accelerator configuration. We demonstrate that HANNAH can find suitable neural networks with minimized power consumption and high accuracy for different audio classification tasks such as single-class wake word detection, multi-class keyword detection and voice activity detection, which are superior to the related work.
The Use of Social Media in Learning English Writing

As technology grows rapidly, social media has become one inseparable element of the daily life of modern society. Its impacts have spread into every aspect of human life, including education. The use of social media in teaching and learning activities has brought a new contribution to education, especially in language learning. Using social media, people from different countries can find it easier to communicate with each other to exchange or learn languages together, such as English. As a global language, English has four skills to be mastered to get to the proficiency level. They are reading, listening, speaking, and writing. Among all the four skills, writing is considered to be the most complex one. As social media has brought much easiness and is very simple to use, utilizing social media to help the learning writing is considered to be helpful to help improve the effectiveness. Therefore, this article tried to uncover the use of social media in learning English writing.