Reviewerly/exHarmony huggingface dataset:
Ancient Character Image Classification Model Training

Nowadays, various neural network models are updated, and most industries around the world need deep learning algorithms to solve a lot of practical problems. In this paper, we propose the task of image recognition of ancient Chinese characters based on RESNET network model, in order to provide help for students to learn ancient Chinese characters. In the work, the classification of five ancient Chinese characters is completed. The results of RESNET network model are very good, and the accuracy of the final result of the test set is 90%. At the same time, the stability of the model was tested after training, including vertical and horizontal flipping of the image of the test set, and adding noise to the image of the test set. Finally, the RESNET network model is summarized and its applicable environment is described.
Single image dehazing based on Multi-scale Channel Attention Mechanism

Haze is a natural phenomenon that can cause discomfort to the visual system. Since the essential information of hazy images, i.e., the channel features of the images, has been neglected in most previous studies, it leads to the degradation of the generalization ability of the model. In this paper, we propose a multi-scale image dehazing neural network model based on the channel attention mechanism. In this paper, this model consists mainly of a network structure consisting of multi-scale encoding-decoding module, channel attention mechanism module, and multi-scale residual module. We demonstrate the robustness of the proposed dehazing network model in this paper by conducting qualitative as well as quantitative analysis on synthetic datasets and real-world datasets.
Language Identification Using Combination of Machine Learning Algorithms and Vectorization Techniques

Language Identification refers to the process of ascertaining and discerning the language found in a particular text or document. In this work, approaches for language identification, using Machine Learning Algorithms and Vectorization methods have been compared and contrasted. Three machine learning algorithms, along with two vectorization techniques have been used. The ML Algorithms used are Naïve bayes, Logistic Regression, and SVM (Support Vector Machine), and the vectorization techniques used are Term Frequency-Inverse Document Frequency (TF-IDF), and Count Vectorizer (Bag of Words (BoW)). This research put forwards the contrast and comparison of the above-mentioned classification algorithms and vectorization methods. It is also a web development-based work.
A Critical Investigation in Analysing the Main Factors Influencing the Network Security Strategies By Applying the Big Data Context Using Multivariate Analysis of Variance (MANOVA)

Organizations may use big data to analyze enormous and complicated information in order to uncover hidden trends and correlations, as well as to distribute information across a network. Information that travels via an organization's network is frequently delicate, necessitating the use of a platform that is both efficient and safe. As a result, network security has indeed been elevated to the beginning stages of consideration in the big data world. Consequently, network security systems must handle with a large amount of data that is both complicated and varied in order to detect and prevent possible threats in actual time. Unfortunately, since these systems are frequently built on old methodologies, they are problematic when it comes to protecting large amounts of information. In this article, we will primarily discuss network security and information protection solutions for large amounts of information. First and foremost, we discuss the elements that influence network security architecture in the Big Data world. Following that, we will discuss several big data solutions that allow for the protection of data throughout networks, as well as new study findings.
Manajemen Perpustakaan Sekolah Menengah Kejuruan Negeri 2 Kabupaten Musi Rawas

Introduction. School library management is basically a process of optimizing human, material, and budgetary contributions to achieve library goals. The purpose of this study is to describe the library management of SMKN 2 Musi Rawas, the specific objective is to find out how the implementation of management functions in the library of SMKN 2 Musi Rawas starts from planning (planning), organizing (organizing), implementing (actuating), controlling (controlling) which is applied in the library of SMKN 2 Musi Rawas. Research methods. This research method the author uses a descriptive research method with a qualitative approach to find out how the implementation of library management in the library of SMKN 2 Musi Rawas. The subject of this research is the head of the library, librarians, teachers, students and schools. Results and Discussion. 1) Management planning at the library of SMK Negeri 2 Musi Rawas is to change the management of the library which used to use a conventional/manual system to switch to a digital/automated system. 2) Organizing Library Management at SMK Negeri 2 Musi Rawas has been going well, this is evidenced by the existence of an organizational structure and a clear division of labor. 3) The movement of activities in the library is initiated by the head of the library as a driving model for the existing library staff. 4) related to control, the library of SMK Negeri 2 Musi Rawas carries out an evaluation of the work carried out on a regular basis. Conclusions and suggestions. implementation of library management functions at SMK Negeri 2 Musi Rawas is carried out starting from planning, organizing, implementing, and also controlling and there are also several obstacles faced by libraries in their implementation.
School bus path planning problem based on improved simulated annealing algorithm

In order to solve the school bus route planning problem of primary and secondary schools in major cities in China, to ensure the safety of student transportation and to optimize the transportation mode, the improved simulated annealing algorithm (ISA) method is used to study the school bus route planning problem of a secondary school in a certain place, taking into account the time constraints of each station, the constraints on the number of passengers and the constraints on the number of school vehicles. The results are compared with the traditional simulated annealing algorithm (SA), which is based on the ISA construction framework and incorporates the tempering operation. The results show that the ISA algorithm reduces the total distance of distribution by 8935 m; the number of distribution school vehicles is reduced by 1; and the vehicle loading rate is better than the SA algorithm. It can be seen that the model perturbation strategy of global search of ISA algorithm improves the solution accuracy and locks the optimal solution; the tempering operation for constraints such as the number of vehicles, school bus load and time window further improves the solution quality of ISA algorithm; the construction of ISA algorithm framework facilitates the study of the deployment of functional modules to obtain the optimal solution of school bus path planning problem for programming.
Surveillance based Child Kidnap Detection and Prevention Assistance

This research paper is based on child kidnap detection and prevention to identify susceptible child kidnap by unauthorized persons. The intelligent surveillance system proposed for this is known as "AICare". The purpose behind developing a proper kidnap detection methodology is to enhance and strengthen the existing child security systems. The key is to identify the main characteristics of a kidnapper in real-time, which follows face recognition, speed detection and object detection theories. Face recognition is used to identify whether the outlined individual has covered his body, especially his face, to hide the true identity, or else the person's face is directly processed for authentication. Speed detection is helpful in calculating movement speed and capturing whether the targeted individual is moving in a hurry. Finally, the stranger is subjected to object detection in order to classify whether he/she is handling a sharp object or not. The captured outcomes are subjected to a decision tree to resolve the person as a kidnapper suspect. The system results in an overall accuracy that is above 90%. As this solution is child-sensitive and responsive, it provides a long term platform that can real-time monitor for potential kidnap based on the kidnapper characteristics to support the working from home parents to take care of their children during crucial times.
PELATIHAN KEAMANAN DAN KESELAMATAN DI DESTINASI WISATA SESUAI STANDAR NASIONAL MAUPUN INTERNASIONAL BAGI PENGELOLA PARIWISATA DI KABUPATEN SUKOHARJO

Absrtact : Organizing Security and Safety training in tourist destinations, participants can understand security and safety both national and international standards, plan the right form of security and safety management in tourism destinations in general by adjusting the situation and conditions in tourism destinations, evaluate the extent to which security and safety practices are implemented. safety in tourism destinations, encouraging the sustainability of the application in tourist destinations. The training method provided is theory and practice adapted to the hotel area. The results obtained from participants can master the security and safety system of tourist areas, CCTV systems, fire extinguishing systems, and guest room security systems for home stay and hotel managers.
DECISION SUPPORT SYSTEM TO DETERMINE THE BEST ONLINE SHOP COLLEGE STUDENTS USING THE TOPSIS METHOD

Internet users in Indonesia aged 16 to 64 years who access the internet on mobile phones as many as 195.3 million. In 2015 the number of online shops was 7.4 million people. Convenience and customer service today are key in improving an online shop. The number of online shop applications available for MSME has difficulty in determining the online shop to determine the right online shop in marketing products among students. The TOPSIS method is used as a method for decision-making because it has a simple and easy-to-understand the concept. This study has five criteria, namely product completeness, interface design, service response, delivery services, and transaction processes. And has 5 alternatives namely shopee, tokopedia, bukalapak, lazada and blibli. In this study obtained from the 5 alternatives, the online shop that is most in demand by students is shopee, this can be seen from the pretension value of 0.89.
DEVELOPMENT OF AN ELECTRONIC PUBLIC COMPLAINTS SYSTEM TO IMPROVE PUBLIC SERVICES

Public complaints are essential for the government to see how successful it is in carrying out activities. Public complaints are an essential element for local agencies because complaints are aimed at correcting the shortcomings of the activities that have been carried out. The absence of an electronic complaint system will hamper the complaint reporting process, so repairing deficiencies in government agencies will be hampered. The delay in repairing deficiencies in the agency will, of course, also affect the services provided to the community. The government can certainly use technology development to improve public services from the government to the community. This study discusses the development of an online-based public complaint system with the website-based Extreme Programming (XP) method that the public can access so that complaint reports can be submitted in real-time. The results of testing the complaint system from the usability side show an average value of 88.7% in the excellent category, so the application is feasible to use and as needed.
Innovative Learning Technologies in the Context of Modern Education

The article highlights the application of innovative learning technologies in the context of modern education, considering the dominance of human-centered approach and information society development, as well as the impact of the COVID-19 pandemic on the implementation of the educational process. Research and systematization of scientific approaches to the theoretical foundations of innovative learning technologies allowed to formulate a definition of innovative learning technologies, which should be interpreted as purposeful support of the educational process with new techniques, methods and means of organizing educational activities to increase its efficiency and quantitatively and qualitatively new educational outcomes. Such types of innovative learning technologies as technologies of personality-oriented educational process, interactive learning technologies, technologies of creative personality formation, distance learning technologies are systematized and analyzed. The advantages and threats of influencing their application in the modern educational process are determined. Prospects for further research in the context of studying the factors of interdependence of the processes of development of all spheres of life in society and the development of innovative learning technologies using best educational practices are outlined.
Online Learning System as A Form of Transformation of Learning Media

The COVID-19 pandemic has had a considerable effect on several sectors, along with education.educating performs an essential role to make certain the teaching and gaining knowledge of manner maintains although it isn't always face to face. the answer, educators have to use on-line media to make discoveries within the teaching and getting to know technique.gaining knowledge of is pressured to conform online gaining knowledge of from what turned into formerly performed face-to-face inside the school room.With the pandemic, college students are required to have a look at from home the usage of net access which reasons various troubles, because of the absence of an adjustment method this is too surprising and not according with the existing plan, as a end result there should be an smooth manner out.for lecturers and students to recognize on-line mastering.problems that arise due to the utility of an internet-based studying device consist of the choppy distribution of college students and parents who are smart in managing getting to know media, on line now not all parents pay internet charges, college students' internet signals at home are not less expensive, and maximum mother and father with mediocre monetary conditions do now not have a cellphone or clever cellphone to study their youngsters.The technique used in this look at is a descriptive approach by the use of the interview method via collecting several journal references and interviewing several informants associated with the problems within the studies.As a end result, on-line use can be synonymous with face-to-face presence --through powerful online use which can be without difficulty performed thru a few supporting software.
The Role of the Educational Component "Academic Writing" in the Professional Training of Specialists in the Socionomical Sphere

The article describes the content and structure of the educational component «Academic Writing», teaching methods, criteria and means of assessing the expected learning outcomes, organizing independent work of applicants during its study. Examples of practical, training and creative tasks intended to form the necessary competencies and verification of expected learning results are presented. The necessity of continuous monitoring of the opinion of applicants regarding the quality of teaching academic writing is emphasized. Themethodology peculiarities of teaching academic writing for the first (Bachelor's) level of higher education of specialties «Psychology» and «Social Work» at the Department of Psychology and Social Work at the National University of Odesa Polytechnic, which is intended in particular to develop creativity and critical thinking of applicants through the performance of creative individual tasks; encouraging them to publish their own scientific achievements; an expedient combination of teaching methods in accordance with the purpose of a particular occupation and level of applicant preparation; clearness of criteria for evaluating various types of curriculums; combination of formal and informal education; taking into account the results of questionnaires for further improvement in teaching academic writing; ability to ensure the quality of OK training offline and online.
ONTOLOGY AS A SOFTWARE ADDITION TO THE SYSTEM FOR MATHEMATICAL MODELING ON THE BASIS OF INTERVAL DATA

The article considers an important scientific problem of developing methods and means of constructing discrete models of complex objects in the form of interval difference equations based on a combination of ontological approach and analysis of interval data to expand the scope and conditions of application of models. impetus for the development of applied research in the fields of national defense, environmental protection, medicine and other areas, where the necessary component of the decision support system are mathematical models of objects with distributed parameters. The essence of the approach to mathematical modeling based on interval analysis is characterized, the main feature of which is the multiple estimation of the parameters of the input-output model, built on the results of experiments in which the output variables are obtained in interval form. The main research results presented in the article are: description of the approach to the use of mathematical modeling ontology based on interval data for software development and use, in order to expand the scope and conditions of application of models while ensuring its given prognostic properties; a step-by-step scheme of the process of developing an onto-controlled software system of mathematical modeling based on interval analysis is proposed; the scheme of the process of realization, use and updating of the considered ontological model of the subject area of mathematical modeling on the basis of interval data is offered. The peculiarity of the approaches proposed in this article is that they can be implemented as a software add-on to applied systems of mathematical modeling based on interval analysis. The combination of approaches based on interval analysis and ontological representation of the subject area provides increased efficiency of computational procedures for identifying models of complex objects, as well as the adaptive use of different models for different subject areas in decision support systems.
Face Hallucination via Multi-Scale Structure Prior Learning

Recently, the face hallucination method based on deep learning understands the mapping between low-resolution (LR) and high-resolution (HR) facial patterns by exploring the priors of facial structure. However, how to maintain the face structure consistency after the reconstruction of face images at different scales is still a challenging problem. In this letter, we propose a novel multi-scale structure prior learning (MSPL) for face hallucination. First, we propose a multi-scale structure prior block (MSPB). Considering the loss of high-frequency information in the LR space, we mainly process the input image in three different scale ascending dimensional spaces, and map the image to the high dimensional space to extract multi-scale structural prior information. Then the size of feature maps is recovered by downsampling, and finally the multi-scale information is fused to restore the feature channels. On this basis, we propose a local detail attention module (LDAM) to focus on the local texture information of faces. We conduct extensive face hallucination reconstruction experiments on a public face dataset (LFW) to verify the effectiveness of our method.
Implementation of Educational Activities in the Context of Distance Learning

The authors of this article attempt to analyze the current school education state in the context of the using the distance learning system. The conditions which influence on the introduction of distance learning are analyzed. The study formulates the main problems of the educational activities in a school in the context of the COVID-19 pandemic. Lacks of assessment in educational activities, lacks of direct contact between participants in the educational process, lacks of students’ motivation, non-participation parents to students’ success, indifference of children in society issues, limited forms and methods of educational activities in the context of distance learning, lacks of digital ethics skills and technical problems (lack of ability to use the Internet) and lacks of skills to use certain services are included to the main problems of the educational activities at school in the context of the COVID-19 pandemic by authors. However, authors describe recommendations for raising educational activities to a higher level at a distance. This is the implementation of such distance learning tasks as the individualization of educational activities by the provision of personal tasks to a student, when a teacher takes into account his characteristics, abilities and interests; as the involvement of parents in the activities with children; as a teacher’s personal contact with students by the informal communication at a distance. In addition, the article focuses on the examples of educational activities forming with pupils. These are online competitions, projects, a formation of creative competitions (battles), a creation of blogs on topics. There are highlighted events which are gaining popularity on platforms such as YouTube, Instagram, TikTok and others. As a result, each student can be involved in creative activities.
The Remuneration Implementation of Government and Non-Government Employee Educational Staff in the General Service Institution University

This research intends to investigate the implementation and what indicator that is used in implementing the remuneration of government and non-government educational staff in the university with the general service institution status. This research is conducted in Faculty of Engineering, University of Brawijaya, Malang-Indonesia. Location shows that the social situation which is categorized by three unsure that are location that is Faculty of Engineering, University of Brawijaya, perpetrator that is educational staff of Engineering Faculty, University of Brawijaya that accepts the remuneration, and activity that is the remuneration process. The research method uses the models of Miles and Huberman that is through the process of data reduction, data presentation, conclusion, and triangulation. This research is hoped to be able to analyze how the implementation is by accurate, equitable, and feasible based on the staff performance and then to propose a recommendation of educational staff remuneration system, so the remuneration system later is applied regarding to the available principals and the rules that have been applied. The result shows that in reality, in the implementation of the remuneration based on the performance in Faculty of Engineering University of Brawijaya, there is still a problem such as there is a difference between the remuneration that is accepted by government and non-government employee. In addition, there has not been objective and transparent in giving the rating weight in the duty letter