Reviewerly/exHarmony huggingface dataset:
Defending the Defender: Adversarial Learning Based Defending Strategy for Learning Based Security Methods in Cyber-Physical Systems (CPS)

Cyber-Physical Systems (CPS) are prone to many security exploitations due to a greater attack surface being introduced by their cyber component by the nature of their remote accessibility or non-isolated capability. Security exploitations, on the other hand, rise in complexities, aiming for more powerful attacks and evasion from detections. The real-world applicability of CPS thus poses a question mark due to security infringements. Researchers have been developing new and robust techniques to enhance the security of these systems. Many techniques and security aspects are being considered to build robust security systems; these include attack prevention, attack detection, and attack mitigation as security development techniques with consideration of confidentiality, integrity, and availability as some of the important security aspects. In this paper, we have proposed machine learning-based intelligent attack detection strategies which have evolved as a result of failures in traditional signature-based techniques to detect zero-day attacks and attacks of a complex nature. Many researchers have evaluated the feasibility of learning models in the security domain and pointed out their capability to detect known as well as unknown attacks (zero-day attacks). However, these learning models are also vulnerable to adversarial attacks like poisoning attacks, evasion attacks, and exploration attacks. To make use of a robust-cum-intelligent security mechanism, we have proposed an adversarial learning-based defense strategy for the security of CPS to ensure CPS security and invoke resilience against adversarial attacks. We have evaluated the proposed strategy through the implementation of Random Forest (RF), Artificial Neural Network (ANN), and Long Short-Term Memory (LSTM) on the ToN_IoT Network dataset and an adversarial dataset generated through the Generative Adversarial Network (GAN) model.
Pengembangan Buku Ajar Cara Cepat Membaca Aksara Jawa dengan Metode Al-Barqy di Tingkat Sekolah Menengah Pertama

AbstractLearning to read Javanese script is an effort to preserve Javanese letters and Javanese culture. While in learning so far, reading Javanese script is mastered by students only during reading and writing lessons. They will quickly forget the characters they have learned once the material is finished. This kind of condition is certainly not good in mastering a subject matter. The approach model used in this research is the Research and Development (R&amp;D) approach. Development research is research that is used to produce certain products, to test the effectiveness of these products. Research is used to produce certain products that are needs analysis and test the effectiveness of these products to function in the wider community, thus research is needed to test the quality of these products. To achieve this, research and development has a gradual nature in producing its products. Research and development (Research and Development) is a research method used to produce certain products and test the effectiveness of these products. The product development of textbooks on how to quickly read Javanese script with the Al-Barqy method for class VII students at State Junior High School 1 Ngoro Mojokerto has been developed and has been tested for validity and the product can be used in the implementation of product design for developing textbooks on how to quickly read Javanese script with the Al-Javanese method. Barqy is a seventh grader at the State Junior High School 1 Ngoro Mojokerto. Due to time and cost limitations in carrying out this research, the researchers did not carry out this research within the scope of field trials. Field trials involved schools other than small group trials, limited trials and large group trials. Field group trials involving schools within the school environment in sub-districts, districts, cities or provinces require very large funds.Keywords: Reading Skills, Javanese Script, Al Barqy Method
Adaptive and Parallel Local Mesh Generation Method and its Application

In this talk, we develop a mesh adaptive algorithm that combines a posteriori error estimation with bubble-type local mesh generation (BLMG) strategy for elliptic differential equations.The proposed node-based adaptive mesh generation method consists of four components: mesh size modification, a node placement procedure, a node-based local mesh generation strategy and an error estimation technique, which are combined so as to guarantee obtaining a conforming refined/coarsened mesh.The advantages of the BLMG-based adaptive finite element method, compared with other known methods, are given as follows: the refining and coarsening are obtained fluently in the same framework; the local a posteriori error estimation is easy to implement through the adjacency list of the BLMG method; at all levels of refinement, the updated triangles remain very well shaped, even if the mesh size at any particular refinement level varies by several orders of magnitude.Further, the parallel version of BLMG method employing ParMETIS-based dynamic domain decomposition method is also developed.The node-based distributed mesh structure is designed to reduce the communication amount spent in mesh generation and finite element calculation.Several numerical examples are carried out to verify the high efficiency of the algorithm.
Correction: Riaz et al. Traffic Anomaly Prediction System Using Predictive Network. Remote Sens. 2022, 14, 447

Since the article “Traffic Anomaly Prediction System Using Predictive Network” by Riaz et al. [...]
Credit Card Fraud Detection using Classification Algorithm

&lt;p&gt;It is crucial for credit card issuers to be aware of unauthorized credit card sales so that clients aren’t billed for things they didn't buy. Mechanical learning cannot be skipped in dealing such issues due to its relevance and the use of data science. The goal of this study is to demonstrate how modelling data sets are utilized in machine learning to detect credit card fraud. Credit Modelling historical credit card transactions, data from who look to be such fraud are key components of the Finding Card Fraud Problem. This model is then applied to determine if the activity is genuine or not. While reducing the types of fraudulent fraud, our aim is to identify 100% of false employment. A common sample separation to check for credit card scams. We are concentrating on assessing and ranking data sets in this procedure, as well as providing a variety of perplexing algorithm postings, Local Outlier Factor and Isolation Forest method in PCA changed statistics about how credit cards are processed.&lt;/p&gt;
Causal Inference for Heterogeneous Data and Information Theory

The present Special Issue of Entropy, entitled "Causal Inference for Heterogeneous Data and Information Theory", covers various aspects of causal inference [...].
Blockchain Technology and Its Impact in Advancing Supply Chain Analytics

Blockchain technology has made global supply chains more perfect and efficient by delivering products and services directly to customers without third parties. The main purpose of this research paper is to examine the perspective of blockchain technologies for supply chain analytics. Blockchain technology (BT) is supporting logistics and financial services more flexibly and easily. It also helps companies understand their supply chain and attracts consumers with immutable, verifiable, and real data. The security system of any specific supply chain company also has become high with the collaboration of blockchain technology. Accompanied by the adoption of modern and advanced blockchain technology, instant traceability, and greater transparency have become possible to implement in the supply chain management (SCM) process. In maintaining the relationship between stakeholders and customers, blockchain technology is a useful medium. In order to collect the relevant data and resources regarding this research topic, “primary quantitative data” has been identified as beneficial. Along with this, SPSS software has been used to interpret the data in a perfect and systematic way. Moreover, this study will help the readers to understand the real effectiveness of blockchain technology and its role in influencing and advancing supply chain analytics. Keywords : Accountability, Blockchain Technology, Growth, Product Delivery, Profit, Supply Chain Analytics, Transparency.
Development of Decision Support Tool for Efficient Distribution Strategy of Agricultural Products using BMA and PSO

본 연구의 목적은 농산물 유통조직의 출하 의사결정지원도구를 개발하는데 있다. 농산물 유통 조직(농협 등)의 농산물 시장 출하는 주별 계약이 주를 이루고 있다. 또한, 가락도매시장 가격을 참조해 소매 조직과의 거래가격이 형성되고 있다. 따라서 유통 조직에 필요한 가격 예측 정보는 월이 아닌 주 단위이며, 가락도매시장가격 모델 개발이 필요한 상황이다. 본 연구에서는 농협 내 시장 출하 의사결정 조직 중 하나인 A 연합사업단 거래 자료와 도매시장 자료를 활용해 연구를 진행하였다. 연구의 의사결정지원도구의 목적은 시장 영향력을 보유한 농산물 유통 조직이 시장 상황 및 내부 출하 전략에 따라 가락도매시장 가격의 변동성을 분석할 수 있는 웹 기반(Web based)의 도구 개발에 있다. 상기 의사결정지원도구 개발을 위해 BMA(Bayesian model averaging)을 활용해 A 연합사업단과 주요 도매시장 토마토 반입량이 가락도매시장 토마토 가격에 미치는 영향력을 추정하였다. 다음으로는 PSO(Partical swarm optimization)를 적용해 주어진 환경 내 가락도매시장 가격이 높아지는 경우의 수를 추출하는 모델을 개발하였다. 이러한 결과를 종합해 웹 기반의 의사결정지원도구를 개발해 실무자의 활용 편의성을 제고하였다. This study is to develop a decision-making support tool for agricultural products distribution organization. In shipments of agricultural product distribution organizations(e.g. NH), weekly contracts are predominant. In addition, transaction prices with retailers are being formed with reference to Garak wholesales market. Information required for these distribution organizations is weekly, not monthly, and it is necessary to develop a price model for weekly price of Garak wholesales market. In this study, research is conducted using internal data of the A Association. The purpose of this study is to develop a web-based decision support tool that enables an agricultural product distribution organization with market influence to analyze the price movement, according to market conditions and internal shipping strategies. For this purpose, BMA(Bayesian model averaging) was used to estimate the influence of tomato imports from the A Association and major wholesale markets on tomato price in Garak wholesale market. Next, a model that extracts the number of cases maximizing Garak market price in a given environment is developed using PSO(Partical Swarm Optimization). Using these results, a web-based decision support tool was developed to enhance the practical use of the research.
THEORETICAL AND METHODOLOGICAL BASIS OF IMPROVING THE GENERAL COMPETENCE OF STUDENTS IN THE FIELD OF NON-PHILOLOGICAL EDUCATION

Taking into account the concept of universal competence in modern education and the basics of its improvement, taking into account that the main emphasis is on universal competence, at the beginning of the research work, the analysis of the term competence, the study of the problem of language and culture, the socio-pedagogical problem of improving the universal competence of students, its integral features and non-philological Pedagogical conditions for improving general cultural competence of students of the educational field have been implemented.
Enhancing item based collaborative filtering

Recommendations play an important role in this contemporary era. Most use online platforms like Amazon, Net- flix, etc. to buy daily necessities and entertainment. Moreover, the referral system helps both consumers and customers regardless of age group and financial background. There are mainly three types of referral systems namely Content-Based, Collaborative and Hybrid. Collaborative systems have many problems and some of them are solved to some extent, but the cold start problem is hardly solved by the researcher. Traditional recommendation algorithms such as matrix factorization and collaborative filtering perform poorly when they lack information on the interaction between the user and the product, known as the user cold-start problem, which can cause reduce the revenue of the e-commerce platform. Cold - star problem is divided into two types User cold star and item cold star. In this search, we have selected cross- domain to solve item coldstar and it works fine for cold non-star issues as well. We choose the Amazon dataset for deployment where one is considered the source domain and the other as the target domain.
PEDAGOGICAL TOOLKIT OF THE SYSTEM OF PARTNER INTERACTION OF THE PRIMARY SCHOOL TEACHER BETWEEN SUBJECTS OF THE EDUCATIONAL PROCESS

The article defines the role and significance of partnership interaction of the subjects of the educational process in primary school. The best qualities of a person are revealed at school age, facilitated by the effective partner interaction of teachers and students, which acts as a kind of connecting component of pedagogical system of the educational space, the main means of solving educational tasks. The article purpose is to determine the pedagogical toolkit of the system of partnership interaction of the primary school teacher between the subjects of the educational process. Research methods: analysis (of psychological and pedagogical literature, information sources on the research problem), synthesis, comparison, systematization of scientific sources (to identify the state of development of the problem), generalization. Updating the pedagogical toolkit of the teacher is of particular importance, namely: the use of such forms and methods of learning, which would not only involve the active participation of the child in the lesson, but also contribute to the establishment of an effective partnership between the teacher and the student. The success of partnership between students and teachers depends on the pedagogical toolkit, which is represented by the group and team form of learning. Group form of training includes: pair, cooperative-group, differentiated-group, link, individual-group. Among the teaching methods, interactive teaching methods are defined: cooperative, collective-group, situational modeling methods, methods of working out discussion issues. It has been established that the definition and implementation of pedagogical tools in educational practice contributes to productive partnership interaction between the participants of the educational process in primary school.
THE INFLUENCE OF LOCAL LANGUAGE ON THE USE OF INDONESIAN LANGUAGE IN THE LEARNING CLASS

Regional languages are one of the characteristics that are owned by Indonesia and their existence is still very well preserved in Indonesia, but the use of regional languages cannot be used in any place, for example in certain institutions and when formal associations are held. Why should this be applied because Indonesia has one unit that forms the basis of Indonesian unity, namely the official Indonesian language, if the use of regional languages is used in any place the impact can cause misunderstandings that will lead to divisions between people. The impact of the use of regional languages that are not used in other places, namely in educational institutions where the use of regional languages should not be used during the learning process except in certain learning because it will interfere with the process of understanding the material to students. Why is that because Indonesia has many tribes, cultures, languages, religions and races whose unity must be maintained. In this discussion, it will be explained how the influence of regional languages on classroom learning will be explained.
Correlation between Family Incomes and Students English Achievement at MTs Nurul Hidayah Malang

AbstractThe purpose of this research was to find a relationship between family income and student’s English achievement at MTs Nurul Hidayah Bantur. In this study, the author uses quantitative analysis techniques in which he performs a series of tests including: validity test, reliability test, descriptive statistic test, normality test, linearity test, chi square test to test hypotheses, and coefficient of determination test to find out how much influence between variables tested.The results showed that there were 41 respondents in this study, of which all came from class VIIB and VIIIB, the instrument validity test showed that of the 14 instruments tested were declared valid because all of them had a sig 2 tailed value below 0.05. The reliability test is at .924 with the meaning that the instrument that the author uses is in reliable condition, in the above test the author uses a shadow sample of 20 children. The normality test got a 2-tailed sig value at .200, with a meaning of .200 &lt; 0.05 then it was stated that the data distribution was normally distributed. Linearity test gave a sig deviation from linearity value at .186 with a meaning of .186 &gt; 0.05 with the meaning that the independent variable and the dependent variable has a linear relationship. Chi square test gets a value of .000 with the meaning that .000 &lt; 0.05 then H1 is accepted and H0 is rejected, there is an influence between family incomes and student's English achievement. This test is also supported by the results of the coefficient of determination test which is at number .542 with the meaning that the independent variable affects the dependent variable by 54.2%.Keywords: Correlation, Family Incomes, and Student’s English Achievement
Cryptanalysis of ARX-based White-box Implementations

At CRYPTO’22, Ranea, Vandersmissen, and Preneel proposed a new way to design white-box implementations of ARX-based ciphers using so-called implicit functions and quadratic-affine encodings. They suggest the Speck block-cipher as an example target.In this work, we describe practical attacks on the construction. For the implementation without one of the external encodings, we describe a simple algebraic key recovery attack. If both external encodings are used (the main scenario suggested by the authors), we propose optimization and inversion attacks, followed by our main result - a multiple-step round decomposition attack and a decomposition-based key recovery attack.Our attacks only use the white-box round functions as oracles and do not rely on their description. We implemented and verified experimentally attacks on white-box instances of Speck-32/64 and Speck-64/128. We conclude that a single ARX-round is too weak to be used as a white-box round.
THE USE OF MODERN INFORMATION TECHNOLOGIES IN PROCESS OF FORMATION OF STUDENTS' GRAPHIC CULTURE 8-9 GRADES IN TECHNOLOGY LESSONS

The article examines the use of modern information technologies in the process of forming the graphic culture of 8th-9th grade students in technology lessons. The essence of the concept of «graphic culture» is revealed, for this the basic concept of «culture» and then the concept of «graphic culture» are considered. Means of graphic culture are defined. It is noted that graphic culture is based on a developed spatial representation, on the basis of which graphic skills and abilities are formed. It was determined that the study of the discipline using information technologies provides an opportunity for reflection and participation in the creation of elements of the lesson, which contributes to the development of students' interest in the subject. Classical and integrated technology lessons, accompanied by software products such as graphic editors, allow students to deepen their knowledge, increase the effectiveness of learning, the intellectual level of students, instill self-learning and self-organization skills, and facilitate solving practical tasks. As a result of studying technologies in institutions of general secondary education, students of grades 8-9 develop graphic culture skills necessary for life and work in a modern high-tech society. Learners should gain experience with information objects that combine text, visual images, digital data, links, and databases, and that can be transmitted orally, through telecommunications technology, or online. The essence of the formation of a graphic culture based on information technologies is a process, the result of which is the graphic and information literacy of students, which allows you to quickly and better navigate in a large amount of information resources. Studying graphic editors in grades 8-9 develops students' cognitive abilities, attention, imagination, memory, logical thinking, and awakens a desire for creativity. Key words: modern information technologies, graphic culture, 8-9 grade students, technology lessons, graphic editors.
Semantic Classification of Prepositions in BulTreeBank WordNet

The paper presents the work in progress for a PhD thesis about preposition incorporation in the Bulgarian BulTreeBank WordNet. Being one of the most polysemous parts of speech, prepositions are still relatively challenging for NLP and are usually missing in wordnets. A preposition semantic classification, a model for preposition synsets and synset relations are proposed. The planned applications of the prepositions and the directions for future processing are introduced.
HUMOROUS THEATRICAL ACTIVITY AS A MEANS OF SOFT SKILLS FORMATION IN PRESCHOOL AND PRIMARY EDUCATION

The relevance of the paper dealing with the researching humorous theatrical activities in preschool and primary education is determined by the need to form soft skills in older preschoolers and younger schoolchildren for their successful self-adaptation and self-realization in the future. The purpose of the article lies in substantiating the humorous theatrical activity as a means of forming soft skills in the conditions of preschool and primary education; highlighting aspects of the humorous works selection and methodical recommendations for the effective organization of humorous theatrical action in preschool and primary education establishments. The main methods of scientific research include analysis, pedagogical experience study, observation, generalization and specification. The article proves the effectiveness of humorous theatrical activities for mastering soft skills by students of preschool and primary education, taking into account the pedagogical potential of theatrical play. As a result of the research, aspects of the selection of humorous works are outlined: works with cynicism elements, mockery of macabre themes cannot be studied and acted out; to teach children a wide range of humorous works and their features; to select the works that the children liked the most for the theatrical play; etc. Methodological recommendations have been developed for the effective organization of a humorous theatrical action with the aim of forming soft skills in children of pre-school and primary school: it is necessary to go through all the stages of analyzing a comic work in detail; act out the roles of heroes with the help of theatrical props; you can act out small, humane, humorous skits from your own or school life; the teacher should «try on» the roles of the heroes of the work in order to show the correct facial expressions and gestures; all students of the class or pupils of the group must be involved in the organization and conduct of the event; one student cannot act the same comic, positive or negative role over and over again; observe ethics when using jokes; do not use vulgar humor; do not overload the humorous theatrical action with a large number of dynamic scenes, adhere to the time frame depending on the age characteristics of the children; the action should evoke positive emotions in the audience and participants; it is expedient to combine prose humorous works with musical art, pantomime, choreographic productions, ICT tools use.