Reviewerly/exHarmony huggingface dataset:
Master’s thesis in software engineering – object, subject, contents of research

Nowadays scientific researches In Ukraine are based on formulating the goals of research, us- ing the concept of object and subject of research. Moreover, as time has shown, this is an important stage of work on which the eﬀectiveness of the study depends. Both the total use of a software in diﬀerent arias of life and improvement of software engineering prepare better conditions for this stage of the dissertation research. Modern software engineering uses scientific research methods that should be used to perform dissertation research. The purpose of this article is the following: to provide recommendations for the formulation of the object and subject of the master’s thesis. Special phocus is made on specialization in the software engineering fundamentals. It also aimed at describing the scientific methods of evidence-based research in the master’s thesis. It pays attention to the results presentation. These points are considered in the context of the conditions that have developed in education and the relevant problems that have arisen in the Universities′ curriculum. There are some problems in choosing the topics of master′s thesis. The one is objective in nature and arises from the combination of the domain of software engineering with application domains in a context of specialization. The article is aimed at masters in software engineering and their supervisors.
Socialization of Natural Disaster Mitigation to Minimize the Impact of the Risk of Economic Loss in the Citarum River Basin (DAS) West Bandung Regency

Flood is the flow of water at the ground surface that is relatively high and cannot be accommodated by drainage canals or rivers, causing inundation in an amount that exceeds normal and causes harm to humans. This flood disaster usually occurs in the lowlands around rivers, especially rivers that have various environmental problems such as factory waste, plastic waste, soil erosion, and so on. One of the rivers that often experience these flood events is the Citarum River, where the river has the title of the dirtiest river in the world. In order to reduce the impact caused by flooding, a Real Work Lecture (KKN) program was held by conducting community service regarding natural disaster mitigation training as an effort to minimize the impact of the risk of economic loss in the Citarum River basin, West Bandung Regency. The program is aimed at SMPN 1 CIhampelas students who are geographically close to the Citarum watershed. The method used is materialization regarding environmental problems in the Citarum watershed, the causes, and effects of flooding and its prevention, and disaster mitigation carried out when a flood occurs. After conducting the materialization, students were asked to discuss and explain how to mitigate floods when they occur at the school. Based on the results of the materials and tests carried out, it was found that students succeeded in conducting presentations on flood disaster mitigation, understanding the causes and effects of floods and how to prevent them, and understanding the importance of preserving the environment, especially in the Citarum River basin.
SEGMENTATION OF ELECTRICAL SUBSTATIONS USING DEEP CONVOLUTIONAL NEURAL NETWORK

Abstract. The location of electrical substations is one of the factors affecting the improvement of electrical energy distribution, as well as the management and control of this energy source. Less cost and manpower will be spent through automating the process of detection and segmentation of these features with the help of deep neural networks and the potential of existing high spatial resolution satellite images. In this study, a deep encoder-decoder neural network was used. This network is one of the most updated deep learning methods in image processing and segmentation. This network has been trained in three RGB bands with the help of high-resolution satellite images (∼1m) and eventually segmented the areas related to electrical substations with relatively high accuracy. As the results of this convolutional neural network, the IOU and Precision parameters were obtained, and their values were 88.2 and 93.7%, respectively, indicating the efficiency of the proposed deep learning method in the segmentation of existing satellite images.
IMPLEMENTATION OF A COMPETENCE-BASED APPROACH IN THE PROVISION OF EDUCATIONAL SERVICES IN THE FIELD OF VOCATIONAL TRAINING FOR SPECIALISTS AND ENTERPRISE MANAGERS

The implementation of the competency-based approach is aimed at improving the quality of educational services, the formation and development of students’ key competencies necessary to perform production and management tasks through the use of modern interactive forms of learning.
Lambda-shiftings for the secondary sources in the Young's experiment allow to rebuild patterns look like piston/tilt

In this work, we perform the mathematical theory used by Born and Wolf to rebuild a geometric characterization for piston and tilt or a combination of both surface errors by shifting the secondary sources in the classical Young's experiment. The last is accomplished making a comparison between the generated patterns of classical Young' experiment and Young's patterns when the secondary sources are shifted axially of the order of $\lambda$. Images with effects looks like to surface errors by piston or tilt are obtained and this give us a good idea on how could be the co-phasing of an optical flat surface in a real experiment.
Ethical Hacking: The Need for Cyber Security

Hacking is basically expertise in any field. Hackers are classified as per working and as per knowledge. The ethical hackers come under white hat hackers. Ethical hackers use hacking techniques in order to provide security. They are legally authorized hackers. Various tools are used in order to carry out hacking. The most common hacking technique used is phishing. Since, there is a rapid growth in the number of attacks, there is a need for people to learn ethical hacking concepts to secure themselves.
A Multi-Criteria Analysis on Solar and Traditional Technologies in Irrigation Development

The main aim of this study is to conduct an economic analysis and a multi-criteria analysis of electric, diesel, and solar irrigation pumps to find the best irrigation technology. After collecting the necessary data, a cost comparison is made between solar and conventional irrigation technologies. The cost of each technology is then compared using a 25-year lifespan to determine which one will be less expensive. Since there are additional important factors to consider while selecting the optimal technology, a multi-criteria analysis is done too. The cost comparison reveals that, in contrast to the other two, the solar system has higher startup expenditures but lower ongoing operating and maintenance costs. According to the cost analysis of the three technologies, solar technology is significantly less expensive than electric and diesel alternatives. Aside from the cost, electric irrigation technology appears to be a better option than solar and diesel technologies when considering other aspects like farmer satisfaction, necessary installation land, technology accessibility, weather obstruction, etc. Journal of Engineering Science 13(2), 2022, 101-110
The Relationship Between the Type of Dimensions (3D, 2D) and Mental Interaction (High, Low) in the Augmented Reality Environment and its Effects on Learning

The research aims to reveal the relationship between the type of dimensions (3D, 2D) and the type of mental interaction (high and low) and its impact on students’ knowledge of the types of wireless networks and their components in the course “Wireless Communications and Mobile Security” based on their satisfaction with this learning, and their academic achievement. The research sample is 144 students in the second year, fourth level of the cybersecurity diploma, and they were divided into four experimental groups. The first experimental group studies with books augmented with three-dimensional models with high mental interaction, and the second experimental group studies with books augmented with three-dimensional models with low mental interaction. The third experimental group is taught with books augmented with two-dimensional models with high mental interaction, and finally, the fourth experimental group is taught with virtual books with two-dimensional models with low mental interaction. The research results that there is an interaction between the type of dimensions in augmented reality books and the mental interaction (high, low) in identifying the types of wireless networks and their components, where the high mental interaction groups excelled, regardless of the type of dimensions (3D, 2D) in the achievement test, and there was clear satisfaction for the students of the groups that study with 3D models compared to the 2D groups.
Analisis Transparansi dan Akuntabilitas Pengelolaan Dana Bantuan Operasional Sekolah SMAN 7 Merangin Tahun 2021

This study aims to examine the effect of transparency and accountability on the management of school operational assistance funds at SMAN 7 Merangin in 2021. This research is a descriptive study with quantitative data analysis methods. This research uses purposive sampling technique. Research data collection is done by distributing questionnaires to 50 respondents. Data management using SPSS version 22 software. The test tools used in this study were descriptive statistics and multiple linear regression analysis. The results of this study indicate that: 1) Transparency and Accountability have a significant effect on the management of School Operational Assistance (SOA), 2) Transparency has a significant effect on the management of SOA, 3) Accountability has a significant effect on fund management SOA.
Research on the application of RBF neural network in the evaluation of college English teaching quality

Because of the diversity of teaching and students and the supervisory factors of the educational affairs department, it is difficult to be objective and fair in teaching quality evaluation. In order to solve the problems existing in the traditional teaching quality evaluation in colleges and universities and improve the accuracy of college teaching quality evaluation, this paper applies the RBF (Radial Basis Function) neural network to the evaluation of college English teaching quality. This paper builds a RBF neural network model for college English teaching quality evaluation, and verifies the accuracy of the RBF neural network through experiment. The results show that the RBF neural network established in this paper can evaluate the college English teaching quality well.
O ACOMPANHAMENTO DE FERIDA CRÔNICA

Chronic injuries are those that usually present some complication. They are in an inflammatory process, most of the time, which is classified when they last for a period longer than four weeks. It is necessary to implement prevention and care strategies for people with wounds (such as encouraging the continuing education of professionals and patient empowerment, optimizing the record and assistance provided by the ESF) that can positively impact the patient’s quality of life, the systematization of the work of health professionals and the local health system. &nbsp
Analysis of Detection and Tracking Algorithms of Dot Objects in Video Stream

Computer vision is a relevant technology, that allows the machine, relying on external data from sensors, to independently make decisions on how to react to external factors. One of the possible problems that computer vision could solve is the automatic detection and tracking of point objects. For this purpose, in practice, a video surveillance system is often used, which allows to obtain a video stream of the viewed site. Digital image processing methods allow reliable and precision detection and tracking of various objects. Since the point object is maneuverable, the detection algorithm must be fast and robust to avoid false detections, which makes such algorithms complicated. The work presents an overview of known methods of detecting and tracking objects. The advantages and disadvantages of the methods based on the principle of "detect before track" and "track before detect" are presented. Methods that are based on "detect before track" principle detect the object in each frame, therefore do not require additional accumulation of information about the parameters of the searched object and after that the obtained results are transferred to the tracking algorithm. Methods based on "track before detect" principle first accumulate some frames to determine the trajectory of the object, after that a decision is made whether object detected or not. Such algorithms require a certain amount of data to process, which leads to a delay in obtaining results. The methods of tracking objects are considered. Such methods are based on the processing of coordinate information about the movement of objects. One of the crucial tasks for tracking is the filtering of object motion parameters. To estimate the condition and control a dynamic system with a random structure, it is advisable to apply the apparatus of mixed Markov processes in the discrete time. The following algorithms of trajectory filtering are considered: an autonomous multi-model algorithm, a generalized pseudo-Bayesian algorithm of the first order, a generalized pseudo-Bayesian algorithm of the second order, a multi-model algorithm with inter-model interaction.
EXPLORING THE RELATIONSHIP BETWEEN ENGINEERING STUDENTS' SKILLS AND READINESS TOWARD INDUSTRY REVOLUTION 4.0

To move into the industrial revolution (IR) 4.0, the manufacturing sector faced some challenges, one of them is the shortage of skilled workforce. Previous studies also determined a lack of awareness and knowledge of IR 4.0 and Malaysian students still lack the necessary skills to work in the IR 4.0 era. Thus, the objectives of this study are to conceptualize the students’ skills towards adapting to IR 4.0. The study will discover IR 4.0 required skills, and the significant factors influencing students’ readiness, and the findings will also contribute to some solutions to improve students’ skills. This study is significant to the students, university, industry as well as policymakers. Students will increase their understanding of the required skills in the IR 4.0 era. University will gain input to provide quality education to equip the students with necessary skills. Besides, the industry can gain benefits from education development. Therefore, the issue of shortage of skilled workforces can be reduced. This study also will acknowledge the policy makers towards preparing future workforces and meeting the government objectives of implementing IR 4.0, particularly in the manufacturing sector in Malaysia.
EFL Teachers’ Strategies in Teaching Reading Skill in Lower Secondary School

Reading is a receptive skill that students require, and it takes work to teach reading. Thus, teaching strategies for reading skills attracting students' interests are the keys to better reading comprehension. This study aimed to investigate EFL teachers’ strategies in teaching reading skills in lower secondary schools, how they implemented the strategies in teaching reading comprehension, and the student's responses. The method of this research was a qualitative design. The subjects of this research were six EFL teachers of SMPN 28 Tangerang, Banten. The instruments of this study were observation and interview. The study results showed four strategies the EFL teachers used in teaching reading skills: Scaffolding, Think-aloud, Question Answer Relationship (QAR), and Teacher as a Center. Thus, it is suggested that EFL teachers use various teaching strategies for reading skills to improve students' reading skills. The variety of EFL teachers' strategies would provide more pleasant and exciting learning atmospheres, encouraging the students to be interested in reading English texts.
AI for One and All

Abstract: Artificial intelligence is for one and all, it is for people from all works of life – a student, a homemaker, a parent, a professional in any field, a senior citizen, basically anyone who is interested in getting acquainted in artificial intelligence. If you will ask a question from non-technical person that have they ever used artificial intelligence in any sense, so there quick response will be no but the correct answer is yes because we all are using artificial intelligence concepts in our day to day life either knowingly or unknowingly. Few of the applications powered by AI are: Alexa, Google Assistant, Cortana or Siri. We have an assistant in our smart phones that can help us in making calls, send messages, search information and a lot more just like a real person. AI is basically working as a tool or a helping hand to human beings to make their life easier in various senses. There are a lot of such technologies that surround us in today’s time but AI has several more abilities that make it more special than any other technology. Artificial intelligence refers to the simulation of human intelligence in machines that are programmed to think like human beings and mimic their actions. It is the ability to rationalize the things and take actions that have the best chance of achieving a specific goal. Artificial intelligence is an over acting principal, art of technology, a form of intelligence, field of study which seems to be something which came into existence recently but AI is making news since 1956. It has the potential to impact industries and work forces in profound way and help us unlock economic potential. Government is working enormously on creating national worldwide comprehensive AIstratergies to create sustainable, inclusive and positive impact on citizens, industries and overall societies.
Guzheng Fingering Practice Assistant System Based on Gesture Recognition: Supporting Practice by Providing Feedback

Beginners need a lot of practice to master fingering as a motor skill. However, in the post-lesson practice sessions, beginners often fail to provide internal feedback due to a lack of proper long-term memory, which ultimately leads to high error rates and poor practice results. This paper proposes a system to assist in the practice of Guzheng fingering. By constructing three corresponding student types and feedback implementation scenarios to provide different types of augmented feedback, the system aims to better support beginners in practicing Guzheng fingering on their own. The system employs gesture recognition technology to support the feedback intervention, and positive results were obtained through comparative experiments in which the system’s recognition and judgement functions could be used.
On the Algorithmic Design of Moral Judgment Based on Artificial Intelligence

The application of artificial intelligence such as autonomous driving not only brings convenience to humans, but also brings a series of ethical issues To address this issue, this paper attempts to analyze the difference between the moral judgment paths under two major forms of algorithm design, symbolism and connectionism, and the difference with traditional technology ethics from the perspective of the core of AI, i.e., algorithm design, and to provide a solution for the design of AI algorithms based on the perspective of moral judgment.
ANALISIS PENERAPAN DATA MINING DALAM PENENTUAN TATA LETAK BARANG MENGGUNAKAN ALGORITMA APRIORI DAN FP-GROWTH

Setting the layout of merchandise in each store window greatly affects consumer interest in shopping. To increase self-service sales, a strategy is needed to achieve this, one of which is to systematically arrange the layout of goods on merchandise shelves. The method used for implementing the layout of goods is to compare the performance of the Apriori Algorithm and the FP-Growth Algorithm in the data mining process using the Rapidminer Studio Educational Version 9.10.011 tools to obtain more accurate results. The data sample used is sales data at the Mohare Supermarket, which is tested to understand the association patterns generated by each method. Based on the test results with a minimum support of 20% and a minimum confidence of 70%, the Apriori Algorithm produces 10 rules with a support of 0.32258605 and an accuracy of 12.8%, while the FP-Growth Algorithm produces 78 rules with a support of 2.51612903 with an accuracy of 780%. Thus, the FP-Growth Algorithm can be stated to have a high degree of accuracy in generating association rules when compared to the Apriori Algorithm.
PENERAPAN FORECASTING METHODS UNTUK PENJUALAN PRODUK UMKM DENGAN ALGORITMA K-NEAREST NEIGHBOR

This research will be carried out on MSMEs in the city of Batam, precisely in the Cipta Asri housing phase II block fir, the analysis is an experiment on sales data so far on MSMEs engaged in the culinary field with the aim of predicting the level of sales in the future. This study will utilize the Forecasting method with the K-Nearest Neighbor datamining algorithm technique to forecast product sales and to test the suitability of the researcher's accuracy using rapidminer software. The results obtained are based on the analysis carried out from 26 training data, there are 20 data that have been classified correctly and 6 data that have not been classified correctly, namely the percentage for Correctly Classified Instances is 77.00% while the percentage for Incorrectly Classified Instances is 23.00%. In conclusion, the results of the analysis can be effective in determining the results of future sales targets and will affect the next level of sales.
PERANCANGAN GAME AYO BERSIH UNTUK ANAK MENGGUNAKAN METODE SYSTEM DEVELOPMENT LIFE CYCLE WATERFALL

One of the popular pastimes among young people today is video games, which are educational and for entertainment purposes only. Video games usually only focus on story and game mechanics. Gaming is currently an alternative entertainment for various groups. In this research we aim to make game software in the form of RPG games using RPG Maker MV software. The purpose of this research is to design an educational game Ayo Clean for children so that children practice maintaining cleanliness or a clean lifestyle every day. The research method used to make this RPG game is the System Development Life Cycle (SDLC) waterfall, where the research stage is in the form of the final stage, returning to the initial stage which forms a cycle or life cycle. Based on the results of research on educational animations to keep the environment clean for children 7-9 years old, it can be concluded that this method can make it easier for children to maintain cleanliness. However, 3. This game is already under development. Based on the results of the questionnaire, there is a section on how interesting the game is that 45 respondents chose not interesting, therefore the authors developed the game. The educational game Ayo Bersih using the System Development Life Cycle method (children 7-9 years old) using RPG Maker MV can be implemented properly.