Reviewerly/exHarmony huggingface dataset:
Neural Network Image Restoration Techniques

Due to the effections of environment and human factor, images always contains degradation phenomenon caused by image blur and noise which reduces the image quality. So, focus on the topic of the improvement of image, this dissertation pays much attention on the study of image degradation model, image restoration and evaluation method. Firstly, the image degradation model is given. Then, a few evaluation algorithms of restoration are given. At last, three Hopfield Neural Network restoration algorithm based on Laplace operator, sub-optimal algorithm and Harmonic Model are investigated. Simulation results validate the efficiency of the algorithms.
The Applications of Police Computing

In 1970 police forces made little or no use of computers. The growth of police computing technology is such that the computer will soon have as great an impact on policing as the personal radio and the patrol car. The police service has three sources of computing. First, there is the Police National Computer or the PNC, as it is generally known. The second source of police computing is the smaller, local police-dedicated computers used by individual forces to meet their own local needs. The third source of computing is the Local Authority computer. Every police force makes some use of its Local Authority machine. Two of the main functions of the police service are the prevention and detection of crime. Every police force makes some use of its Local Authority machine and there are some fifty different types of police applications being run on Local Authority computers.
Development of image recognition based on artificial intelligence

With the development of computer science, electronics and artificial intelligence technology, image detection technology is becoming more and more mature, and the application of object recognition and detection through image detection technology is becoming more and more extensive. This paper mainly studies the development of image recognition based on artificial intelligence technology. This paper first analyzes the design method of classical convolutional network, hoping to achieve the accuracy level of similar methods in small-scale image recognition with more simplified network parameters and model scale, or even surpass the same methods. In this paper, a multi-structured convolutional neural network is designed for image recognition. The experimental results show that the DSCNN model designed in this paper has higher image recognition accuracy.
Construction and analysis of computer science data model based on fuzzy neural network

In the modern era of rapid scientific research, researchers pay more and more attention to scientific data. With the rapid development of scientific research, people pay more attention to practice while pursuing innovative scientific research. Judging from the basic data published by scientific research, scientific data has grown exponentially, highlighting uneven distribution and heterogeneity. This paper aims to study the construction and analysis of computer science data model based on fuzzy neural network. On the basis of sorting out the research results of computer science data and fuzzy neural network at home and abroad, analyzing the problems of computer science data and the technical advantages of fuzzy neural network, this paper clarifies the process of building a computer science data model, and constructs a computer based on an associated fuzzy neural network. Scientific data models and propose conditions for model implementation. Experiments show that the data induction speed of the computer science data model constructed in this paper is about 8 times that of the traditional algorithm. Extracting scientific data is also more accurate.
Global path planning algorithm of industrial robot based on neural network

Path planning is also an indispensable and important part in the development of intelligent robot technology. Path planning generally refers to that the robot finds a safe and unimpeded path of collision with obstacles from the initial working state to the end target state according to a certain standard of safety evaluation in advance in any working environment with the characteristics of collision obstacles. The principle of artificial potential field method is to find the energy on the path point through artificial method, so as to obtain the problem of energy combination explosion by making the path point avoid obstacles or overcome obstacles. Therefore, based on neural network algorithm, this paper also makes a preliminary and in-depth study on some global path planning and optimization problems required by the development of industrial robot system in the future. Firstly, this paper describes the relevant background, significance and technology. This paper expounds the use of such a method that can decompose a global path planning process into multiple local sub path planning problems to help solve the application of industrial robot technology in solving many practical traffic problems. Finally, the test results show that the system meets the actual needs.
Improved Chimp optimization algorithm with multi-strategy integration

Aiming at the shortcomings of Chimp optimization algorithm, such as easy to fall into local optimum, slow convergence speed and low convergence accuracy, an improved Chimp optimization algorithm based on multi-strategy fusion is proposed. Firstly, the population was initialized by nonlinear control parameter strategy, which enhance the quality of the initial individuals and the diversity of the population, and lay the foundation for the global optimization of the algorithm. Secondly, by improving position updating process of chimp, the leader position of the attacker chimpanzee is reflected and the global optimization ability of the algorithm is improved. Finally, The Cauchy-Gauss mutation strategy was used to improve the ability of maintaining population diversity, improve the convergence accuracy and speed of the algorithm. Eleven bench mark test functions with different characteristics are optimizated. The test results and Wilcoxon’s signed rank test results both show that the improved algorithm has better optimization accuracy, convergence performance and stability.
TEACHER: SIDES OF PROFESSIONAL DEVELOPMENT

The article aims to show the various sides of the teaching profession, to determine the features of professional training in that field of human activity. Using the methodology of M. Weber, the author reveals the reasons for the influence of a teacher on his students, associated with the preservation of traditions, special personal charisma, as well as business competencies. Proposing to divide teachers into two groups (by vocation and by profession), the author touches on a sore subject that caused a wide public discussion – the attribution of education to the service sector. To determine the specifics of the profession, the sociotechnological approach proposed by Zh.T. Toshchenko, according to which the intellectual, sensory-perceptual, organizational and moral components of the teacher’s personality are highlighted. Particular attention is paid to the importance of motivation in choosing the profession of a teacher. Notably the internal motives associated with the awareness of one’s vocation and abilities for teaching communication with children that create the necessary positive attitude to engage in pedagogical activities. Finally, the article discusses the advantages and disadvantages of modern teacher training in classical and pedagogical universities.
SPECIFIC NATURE OF PEDAGOGICAL SUPPORT FOR THE PROCESS OF ADAPTATION OF STUDENTS AT THE UNIVERSITY

The article discusses the importance of and the need for pedagogical support for the adaptation of students in a modern university. The adaptation of young people in a higher education institution is often associated with the need to improve adaptation strategies that will allow them to successfully adapt to the learning process. To implement this task, it is necessary to create conditions for providing pedagogical support to students for their adaptation at the uni- versity. Pedagogical support of students means forming their skills of effective response in various social situations and learning conditions. Teachers and students should be actively involved in this process; therefore, it is suggested that programs that would include the basic skills of adaptive behavior should be developed.
STRUCTURING THE CONTENT OF INTERDISCIPLINARY VOCATIONAL TRAINING OF STUDENTS AT THE UNIVERSITY

Competence-based approach in the training of specialists provides for the gradual formation of competencies in the study of curriculum disciplines by students. The article discusses the results of a study of the organizational form of interdisciplinary relations in the training of students at a university. The article reveals the pattern of interaction of subjects that determine the content of academic disciplines, the stages of formation and assessment of students’ competencies. The article substantiates an integrated approach to the formation of interdisciplinary connections and the creation of conditions for effective training of students’ independent work and self-assessment at the stages of competency formation.
PEDAGOGICAL CONDITIONS FOR THE FORMATION OF THE INNOVATIVE POTENTIAL OF THE CENTER FOR ADDITIONAL EDUCATION

The article presents the essence, content components and indicators of the formation of the innovative potential of the Center for Additional Education, the pedagogical conditions identified during the study that ensure the effective- ness of the process under study.
Survey on Sentiment Analysis in Social Media

Sentiment Analysis (SA) is a computational treatment of opinions and emotions. And it is the most active area of Natural Language Processing (NLP), Social Network Mining and Multimedia Data mining. Sentiment analysis can be done for decision making process like product reviews, stock marketing, political debates, news articles and election results prediction. The developing significance of sentiment analysis with the popularity of social network such as Facebook, Twitter, Instagram and Flicker. The users of the social media express their feelings with both text and visual content. Predicting emotion from textual is easy but with visual content is quite difficult so far. A visual content does not contain any objects, locations and actions but it has cues about emotions, sentiment. Sentiment analysis of huge scale visual content can help better extract user sentiment towards topics and events such as image tweets, GIFs, videos. In this paper we analyze various research based on role of sentiment analysis on social media and come out with the evaluation and efficiency of sentiment analysis.
Creating Content for Contexts of Care: A Cognitive Approach to Achieving Health Literacies through Usability

Prototype theory focuses on how individuals recognize locations, persons, and items. As such, it can help identify the variables influencing usability expectations and affecting literacy factors in healthcare contexts. Specifically, prototype theory can provide a framework for understanding the usability expectations central to health literacies in different situations. This chapter explains how to apply prototype theory to address an audience's usability and associated literacy expectations and needs in different healthcare contexts. After reviewing an interactive process of design, the chapter concludes that, by understanding how prototypes affect conceptions of medical care, creators of healthcare content can develop materials that address the expectations affecting the usability needs of different groups. By employing the process described here, content creators – including undergraduate writing instructors and their students – can identify key health literacies and create content audiences can use to achieve different healthcare objectives.
Apple Corps Recognizes Volunteer Hours

The Volunteer Management ReportVolume 28, Issue 3 p. 5-5 Volunteer Recognition Apple Corps Recognizes Volunteer Hours Erin Sandage, Erin SandageSearch for more papers by this author Erin Sandage, Erin SandageSearch for more papers by this author First published: 10 February 2023 https://doi.org/10.1002/vmr.32036Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume28, Issue3March 2023Pages 5-5 RelatedInformation
Preface: The 8th International Conference and Workshop on Basic and Applied Science (ICOWOBAS) 2021

First Page
The role of using big data in predicting customer behaviour: the intermediary role of business intelligence in Jordanian telecommunications companies (a field study)

The aim of study is to investigate the role of big data in predicting customer behaviour and the intermediate role of business intelligence in the Jordanian telecom companies. In order to achieve the objectives of this study, the questionnaire was developed to collect data in a random stratified manner on a sample of 168 employees working in the senior and middle management of the heads of departments in the Jordanian telecommunication companies (Zain, Orange and Umniah). The study hypotheses were selected using descriptive and analytical statistical methods using (Amos) programs. The study found that there is an indirect effect of the big data dimensions combined in predicting the behaviour of the customer with the presence of business intelligence as an intermediate variable for the Jordanian telecomcompanies.
The Implication of the revision of the EU Product Liability Directive: Focusing on digital technology and circular economy

The revision of EU Product Liability Directive make rules to work better for new digital technologies, circular economies and global value chains, and products such as software, artificial intelligence(AI) systems or digital services are now explicitly included in liability rules. It is an internal assessment that the revision will ensure that consumers continue to be effectively protected against damage caused by products, and will help reduce costs and give companies the confidence they need to invest in innovative products through harmonious EU regulations.&#x0D; It is meaningful to expand the scope of liability of products to SW at a time when artificial intelligence is becoming the center of the industry or economy, and the traditional manufacturing industry is declaring a transformation to SW companies.&#x0D; When PLD was implemented in 1985, there is a big difference now from the industrial environment. In current, software is downloaded and used on smart devices or cloud-type access-type services are the mainstream. Above all, the amendment stipulates artificial intelligence or SW in specific forms in economic or industrial activities. In many cases, black-boxed artificial intelligence cannot explain how developers have reached a conclusion, and problems arising from services using artificial intelligence or performed by artificial intelligence are not known, so the responsibility is unclear and it is not easy to compensate victims.&#x0D; The EU is pushing for revision of PLD or AI-related legislation to recognize product liability regardless of product characteristics if artificial intelligence is included. Given that artificial intelligence is becoming black-boxed and that humans cannot confirm or explain the decision-making process, it would be reasonable to burden AI developers or manufacturers with responsibility for problems and accidents.
A Study on North Korea's cyber crime trends and Institutionalization of Response System Establishment

North Korea's cybercrimes are targeting the whole world to the extent that it is difficult to easily estimate the damage results beyond cyberspace by way of more sophisticated criminal means. In particular, in relation to cybercrimes against South Korea, which have been concentrated since Kim Jong-un came to power, a close analysis of the relevant incidents from time to time will be the most basic study in establishing our response system in the future. In this regard, this study analyzes and describes issues by period, focusing on major cases among North Korea's cyber crimes against South Korea after Kim Jong-un came to power, and proposes an institutionalization plan to build a response system.
Gabon: Diversification is Key

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 59, Issue 11 p. 24086A-24086A Policy and Practice Gabon: Diversification is Key First published: 11 January 2023 https://doi.org/10.1111/j.1467-6346.2022.10872.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume59, Issue11January 2023Pages 24086A-24086A RelatedInformation
Developing and testing validity of LexTALE-Korean: An efficient tool for Korean proficiency assessment

This study aimed to develop the Korean-version LexTALE and examine its effectiveness in estimating Korean learners’ proficiency. 41 advanced and intermediate Korean learners participated in a web-based lexical decision task in which 120 Korean words and nonwords were tested. They also took part in a reading comprehension task and a cloze task. The results from a series of logistic mixed-effect models revealed that first, the LexTALE-Kr accuracy significantly differed between language groups in a way that Korean natives obtained higher scores than Korean learners, and advanced Korean learners gained higher scores than intermediate Korean learners. Second, the effect of lexical frequency on lexical decision accuracy was significant, and its effect was the biggest in advanced Korean learners. Third, the scores obtained from the reading and cloze tasks significantly accounted for the accuracy variances of Korean learners. Taken together, our results supported the claim that the simple and low-cost online test evaluating learners’ lexical knowledge is adequate to estimate the goodness of learners’ proficiency as much as complex and high-cost comprehensive examinations like TOPIK.
Manufacture artificial intelligence education kit using Jetson Nano and 3D printer

In this paper, an educational kit that can be used in AI education was developed to solve the difficulties of AI education. Through this, object detection and person detection in computer vision using CNN and OpenCV to learn practical-oriented experiences from theory-centered and user image recognition (Your Own) that learns and recognizes specific objects Image Recognition), user object classification (Segmentation) and segmentation (Classification Datasets), IoT hardware control that attacks the learned target, and Jetson Nano GPIO, an AI board, are developed and utilized to develop and utilize textbooks that help effective AI learning made it possible.
Identifying Factors of Non-Compliance, Compliance with Information Security Policy, and Behavior Change to Compliance: Literature Review

This paper aims to build a process model that converts employees' non-compliance into compliance. The authors evaluated articles that studied the association between information security behavior and information security policy compliance (ISPC). The authors used grounded theory in this comprehensive literature review. The idea helps researchers study issues in depth and breadth, using the five main approach steps (to define, search, select, analyze, and display). The ISPC analysis placed a greater emphasis on compliance than on non-compliance. Value conflicts, stress due to security issues, and neutralization cause the lack of compliance. This review identified 22 studies that met its criterion for inclusion. Compliance increased for both internal and external causes, as well as for protection. Social circle, management, and company culture motivate employees to be security-aware. Deterrence strategies, managerial practices, culture, and awareness of information security help staff adhere to the rules. Information security is jeopardized when employees do not value ISPC. ISPC studies usually distinguish compliance and non-compliance. The literature lacks a complete grasp of the elements that change employees' Non-compliance to compliance. We conducted a systematic literature review on information security behavior toward ISPC in various settings: research frameworks, research designs, and research methodologies throughout the last decade. This systematic review has implications for information security behavior. This research details a behavior-change technique. The conversion helps security professionals comprehend employee non-compliance and helps them comply. According to research, most security professionals develop information security policies generically, which leads to non-compliance. Most researchers agree that information security policies should be organization-specific. This study explored significant compliance/non-compliance characteristics to help design information security policies.
A Study on the Learning Community-Based School Musicals Teacher Training Program to Strengthen

The purpose of this study is to verify the effectiveness of the learning community-based school musical production teacher training program to strengthen teachers' creative convergence power, and to explore the experience and meaning of participating teachers. To this end, the Seoul Metropolitan Office of Education runs a 45-hour teacher training program called “Learning Actors” and is researching 15 elementary and secondary teachers who participated in the program. During the 15-week training period, teachers collaborate with local artists, display thematic expertise, and teach each other, while performing music at local venues for students, parents and fellow teachers. In order to measure the educational effect, a preliminary t-test was conducted on 15 subjects, and in-depth interviews, observations, and portfolios were analyzed. As a result of the study, this training program was meaningful in improving teachers' convergence teaching methods and partnerships with the community, while providing teachers' cooperative skills, understanding, insight into other subjects, and opportunities to reflect on life through arts activities.