Reviewerly/exHarmony huggingface dataset:
Abnormal Operation Detection of Access Equipment in Dispatching Exchange Network Based on Data Mining

Abstract To meet the requirements of a power dispatching service, a dispatching switching network has been widely used instead of circuit switching technology. However, with the growth of the number of access devices, the problem of network security is becoming more and more serious. At present, the commonly used access equipment abnormal operation detection method mainly relies on a two-stage clustering method to identify the abnormal operation state, but the processing effect is not good in the face of a large number of data, resulting in a low F1 value of the final detection result. Therefore, aiming at the access equipment of the dispatching exchange network, an abnormal operation detection method based on data mining is proposed. Scapy, a network tool, is used to capture the traffic data of access devices, and the collected data are normalized and fused. Data feature information is extracted through time sliding window and incremental calculation mode. With the clustering algorithm and related rules in data mining as the core, the abnormal operation detection method of access equipment is designed to obtain accurate abnormal detection results. Finally, based on the recursive graph structure, the detection results are visualized. The experimental results show that the average F1 value of the detection results of the proposed method is 0. 98, which indicates that the detection results of the proposed method have higher accuracy, and based on this, the network security isolation is carried out, which effectively improves the security of dispatching switching network.
Design and Implementation of Transmission Line Insulator Online Monitoring Platform Based on Image Analysis

Abstract The safe operation of insulators directly determines the safety level and reliability of the entire system. In this paper, digital image processing technology is used to analyze and process insulator images, and the performance of composite insulators is comprehensively evaluated from three aspects: degree of deterioration, surface pollution, and degree of water repellency, which is used as the basis for judging insulator detection. For this purpose, an insulator online monitoring system based on telemetry image analysis is specially designed to determine the degree of aging, surface pollution, and hydrophobicity of insulators and to conduct practical tests. At the same time, the system can realize the offline operation of the insulator live, avoid the danger of climbing and live trial operation, and ensure the personal safety of power maintenance personnel. The system hardware uses advanced integration technology and high-performance and reliable equipment. The software is developed using popular development tools, is simple to operate, and has important engineering value.
CAD System Based on Face Mask Recognition for Respiratory Infections Diseases Hospital

The infection of respiratory diseases can be eliminating and controlling by wearing face mask in contaminated areas. However, to control people about wearing face mask it has been challenging unless the automatic recognitions are applied. Therefore, in this paper, a Face Mask Recognition System by Computer Aided Design (CAD) is introduced. The proposed design system is based on face, mouth and nose detections in captured image. The CAD system considers to be implemented for specialized respiratory diseases hospital with different departments, each department controlled by separated door. The main goal of this paper is to design system based on software programs that helps reduce the spread of respiratory diseases and controlling wearing face mask inside respiratory infection diseases hospital based on mask detection and mask color detection. The proposed system designed for hospital with three respiratory diseases departments and three mask color applied each mask color for each department. The mask recognition system has been used cascaded object detector that is Local Binary Pattern Histogram LBPH algorithm, then color detection as artificial intelligence-based method, Red, Green, and Blue (RGB) color of the face mask images. Finally, by using of Convolutional Neural Network (CNN), the classification accuracy of color recognition achieved 100%, and also the whole system functionality tested successfully obtained all results by testing accuracy 95%. The hardware designing circuit simulation in Proteus software were obtained to control the systems of hospital department doors based on the results obtained from MATLAB software.
Research and Practice of Online Service Hall in Colleges and Universities

The needs of teachers and students, the requirements of educational modernization and informatization and the development of information technology promote the online service hall to become an important part of the smart campus.The online service hall is also a hot spot of information construction in universities in recent years.Taking China University of Geosciences (Beijing) for example, this paper probes into the problems and causes of the current difficulties of teachers and students in complicated school's business process and puts forward the construction goal and ideas of the online service hall.A four-layer architecture which includes data layer, business service support layer, business service layer and presentation layer for service e-hall is designed and the organization and implementation steps of the online service hall are expounded.In addition, the extended applications such as integrated self-service printing terminal and electronic signature are considered.This paper can be used for reference for the construction and implementation of online service hall in other universities.
Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks

A biometric authenticated key derivation (BAKD) scheme is an architecture allowing users to derive keys from their biometric characteristics with the help of the server via a wireless network. Traditionally, the user registers his/her biometric feature with the server, and the server keeps a record for the user to recover the key locked by the biometric data. In this case, when the server is compromised, an attacker is able to launch exhaustive attacks to learn the user's biometric input. With such a concern in mind, we introduce a notion called Biometric Enhanced Key Derivation (BEKD) to prevent brute-force attacks. In a BEKD scheme, the server does not store any biometric related information for the user. It is the user who locally stores tokens to recover the cryptographic key. An attacker who steals tokens from the user cannot launch exhaustive attacks to confirm the user's biometric distribution. In addition, the BEKD scheme protects users' privacy in that the server could not distinguish a user's biometric input from a token. We define security requirements for a BEKD scheme, present a concrete BEKD construction, and analyse its security. We also implement the proposed basic BEKD scheme to evaluate its performance in practice.
FedMPT: Federated Learning for Multiple Personalized Tasks Over Mobile Computing

Federated learning (FL) is a privacy-preserving collaborative learning framework that can be used in mobile computing where multiple user devices jointly train a deep learning model without uploading their data to a centralized server. An essential issue of FL is to reduce the significant communication overhead during training. Existing FL schemes mostly address this issue regarding single task learning. However, each user generally has multiple related tasks on the mobile device such as multi-content recommendation, and traditional FL schemes need to train an individual model per task which consumes a substantial number of resources. In this work, we formulate an FL problem with multiple personalized tasks, which aims to minimize the communication cost in learning different personalized tasks on each device. To solve the formulated problem, we incorporate multi-task learning into FL which trains a model for multiple tasks concurrently and propose an FL framework named FedMPT. FedMPT modifies the efficient acceleration algorithm and quantization compression strategy delicately to achieve superior performance regarding the communication efficiency. We implement and evaluate FedMPT on two datasets, Multi-MNIST and CelebA, in the FL environment. Experimental results show that FedMPT significantly outperforms the traditional FL scheme considering communication cost and average accuracy.
Developmental Autonomous Behavior: An Ethological Perspective to Understanding Machines

Developmental autonomous behavior refers to the general ability of a machine to acquire new skills and behavior from its birth to maturity on its own without human intervention. This article describes the principles of behavior development in machines, providing a practical framework to analyze and synthesize machines with developmental capabilities. Inspired by biological views of behavioral causation, the work emphasizes principled explanations to, not only the “how” question on mechanisms but also the “why” question on causation of behavior development. This ethology-oriented perspective offers a renewed opportunity to construct a theoretical framework from the ground up, overcoming the age-old problems of intrinsic motivation and symbol emergence in autonomous machines. One of the key contributions of this article is the logical explanation of why and how value systems drive successive development of memory functions, resulting in progressive changes in behavior from innate reflexive to episodic, procedural, and autonomic behavior. Another notable contribution is the logical and plausible explanation of why and how a physical sensorimotor system evolves to manipulate its internal memory, fostering conceptual and social behavior development. This article provides an extensive review of prior research, followed by detailed descriptions of the causality and mechanisms of behavior development, and concludes with discussions on criticism, future work, ethics, and system architecture.
Designing Banking Book balance forecasting models to support multiple use cases

In this introductory article we discuss, in the context of a few key usage areas, why fine-tuning models to the needs of each can introduce inconsistencies and hard to detect errors into reporting and decision making
Analysis of Coffee Franchise Failure Factor using Machine Learning Algorithms

The restaurant franchise headquarters and the franchisees are organically connected, so the failure of the franchisee affects the franchise headquarters. Their sales affect the unemployment rate, causing social and economic crises. This study aims to analyze factors that affect low sales stores that are closely related to franchise failure. To meet the objectives, we first collect Gangnam-gu POS(Point of Sales) data and then analyze them with various machine learning algorithms. Our results show that LGBM(Light Gradient Boosting Machine) has the highest performance (accuracy 0.908). We apply the results with SHAP(Shapley Additional exPlanations), which is an explainale AI, to visualize the positive and negative effects of variables. In the near future, this study is expected to be utilized in suggesting a store operation strategy that can reduce the probability of franchise closure.
The ratio of external and internal factors of career choice in the motivational sphere of technical university students

The article is devoted to the analysis of the motivational component as an indicator of a person's psychological readiness for professional activity. Identification of motives, interests and intentions to work in a profession obtained at a technical university is a factor in managing the quality of training of young specialists. The formation of motives for choosing a profession is influenced by a set of measures aimed at preparing young people for a conscious choice of profession, taking into account the abilities of the employee and the situation on the labour market. The article describes the results of a study of the motivational sphere of students of Yaroslavl State Technical University, the purpose of which was to establish the relationship between the process of professional orientation in school years and the process of preparing future students for professional activity at the university. Using the results of the study, the correlation of external and internal factors of the formation of motives for choosing a future profession was revealed. The study recorded an input parameter for the formation of motivation for the professional activity of students of a technical university. The respondents' assessment of the ability to influence the desire to work in the taught specialty was obtained. The tendency of decreasing the role of secondary schools in the organisation of vocational guidance of high school students is confirmed. Based on the results obtained, recommendations are formulated for the formation of internal and external motivation for the profession among students of a technical university. It is concluded that the study of the process of motivating students to professional activity is a topical scientific task.
The impact of changes in the Unified State Exam in Mathematics on the prospects of higher education

The aim of the article is to analyse a number of short answer questions at the unified state examination (higher level) in. The article explores the possibility of solving these tasks by certain categories of pupils who have chosen mathematics examination of higher level. The following research methods were applied – statistical processing of the results of the Unified State Examination (USE), including the so-called ‟unsuccessful” graduates, dynamic analysis of interdependence between test failure rate and various task types. By "unsuccessful" graduates, the authors mean those examinees who, having scored enough to obtain a certificate of secondary general education, nevertheless did not overcome the threshold of set by the Ministry of Science and Higher Education of the Russian Federation for admission to subordinate higher educational institutions. The obtained data allows to conclude that lowering the above-mentioned score threshold is impractical, since relaxation in the requirements will open the gate to applicants unable to attain any academic achievement. Even in case of successful course completion graduates will not have sufficient competency to work, for example, in important areas of economy, in the field of high technology and, moreover, in the field of education, where any gaps in mathematical training is fraught with negative consequences. At the same time, there is a huge personnel shortage, especially in the periphery, where teachers’ salary is several times lower than in the capital's schools. The current situation leads to increased staff turnover in the field of teacher education and a catastrophic reduction in Mathematics teachers able to teach this discipline in secondary schools at an advanced level. The article also emphasises the need to change the scale of conversion of primary USE scores into test scores based on the actual results of the 2022 exam in order to eliminate the competitive advantage of graduates of the previous two years, since the results of the USE are valid for three years.
Interdisciplinary integration in teaching Mathematics as a means of forming pupils' mathematical literacy

This article discusses the problem of implementing interdisciplinary connections between a school course in Mathematics and other natural science disciplines at a secondary school as topical means of developing functional literacy among pupils. The mechanisms of interdisciplinary connection of Mathematics with other disciplines are listed. As a means of interdisciplinary communication of Mathematics with other disciplines, there can be the interaction of pupils in the information educational environment to search for new knowledge, to identify properties of a generalised character, to solve practice-oriented problems, to combine knowledge from various general education subjects, to teach Computer Science based on the transfer and generalisation of knowledge from related subjects. The article provides examples of practice-oriented tasks that illustrate the relationship of Mathematics with such secondary school disciplines as Computer Science, Biology, Geography, and Physics. It is noted that when solving such problems, schoolchildren learn various aspects of multi-level practice-oriented activities, including the use of computer capabilities and the global Internet. It is shown that mathematical constructions and their analogues are found even in areas of knowledge quite distant from exact sciences, such as literature, for example. It is substantiated that it is the solution of interdisciplinary problems that forms the meta-skills necessary for everyday life in pupils.
Performing a multi-stage mathematical and informational task ‟Chaotic mappings” as a means of developing students' creativity

This article describes the method of performing a multi-stage mathematical and informational task ‟Chaotic mappings”, aimed at developing students' creativity. The creative activities that the student performs in the process of solving multifaceted tasks are noted. A scheme is constructed-a plan for the implementation of a multi-stage mathematical and informational task. Examples of chaotic maps on both real and complex planes are given. The aesthetics of the Julia sets are indicated, with the help of which students are invited to create artistic compositions. The integration of mathematics and programming is noted. The creative qualities the students master in the process of performing a multi-stage mathematical and informational task are revealed.
About modelling the process of formation of vocal and performing culture of younger schoolchildren in Music lessons

The aim of the study was to model the pedagogic process that determines the optimisation of the formation of vocal and performing culture of younger schoolchildren in a music lesson at school. The article presents a structural and functional model that determines the context of reading musical culture by means of singing. The scientific novelty of the research consists in the development of the content that determines the success of the transformative impact of singing culture on the initiation of the need for creativity in a child at the stage of primary general education. The model, in turn, provides the logic of the chosen actions by designating the principles as the dominant ideas of moving towards the goal – integrity, dialogicity, variability, accessibility. During the generalisation of the experimental work, the key parameters of the results of the developed design in the educational reality of primary school were the proportional ratio between the components, criteria and indicators of the formation of vocal and performing culture among pupils as a syncretic part of the general culture.
From Training Engineering to Pedagogical Engineering

In this chapter, the authors look at the different kinds of engineering in formation. Indeed, this chapter is composed of four blocks. Thus, the first block of this chapter concerns the definition of training online and its comparison with traditional training by highlighting its advantages. Then the authors define the concept of modular education. This concept always appears in online training. The second concerns training engineering in which, after having defined the notion of engineering and the pedagogical engineering approach, the authors define the notion of training engineering, its levels, and its stages. The third block concerns pedagogical engineering in which the authors define pedagogical design, pedagogical engineering, the actors of pedagogical engineering, and their distribution in various contexts. Finally, they offer skills based on well-founded work, on a conceptualization of the field, and on an analysis of practices. The fourth block concerns the definition of the two models of pedagogical engineering, the ADDIE model, and the SAM model by defining the stages of each model.
Opportunities and Applications of Blockchain for Empowering Tele-Healthcare

With the progressive growth in the adaptability of the Blockchain technology with flexible solutions, various industries, academicians and researchers are paying attentions in such area to explore Nobel opportunities. Due to its qualities like decentralization, immutability, and encryption, block chain has the potential to shift the hierarchy of healthcare also. This area has observed many benefits of Blockchain technology, but still people have hesitations to adapt it due to lack of standardization, high cost, lack of awareness, and lack of technical knowledge to implement it. This chapter aimed to showcase the potential for block chain technology in the tale care system.Various BC based models and frameworks are discussed to cover various stages of secured data transfer for patient empowerment. This covers all technological issues in storing medical records in the various application areas where block chains will provide secured and authenticated transfers of patient personal data.
Greater Diversification of Activities, Greater Integration of Student Profiles

Experiential pedagogical interventions offer the possibility to develop deep learning approaches. The objective of the study was to identify the factors that help to understand the reason why some students develop an approach to deep learning and others superficial, as well as to identify the strategies that best suit each student profile. To this end, a quasi-experimental pedagogical intervention was used with a mixed methodology. As main results, the response of students in terms of approaches to learning can be described as students who reinforce the initial deep approach, students who maintain the initial deep approach level, and others who change from one emphasis on the deep approach to one closer to the superficial. The result of the investigation suggests the inclusion of pedagogical activities and an integrative didactic of different motivations and initial strategies, leading to a possible adoption of deep approaches.
Applications of Watermarking in Different Emerging Areas

These days enormous amounts of information is at almost everyone's disposal with a single click of a button, and that too on a hand held device. Data can be present in various forms like still images, and slides of pictures like a video of GIF, over various websites present on the Internet. Because of the excessive use of this data, it also becomes important to secure it as it can be duplicated, transformed, stolen, tampered, or misused pretty easily. Recently, there has been a spike increase in the use of medical images in various E-health applications. In order to counter these potential threats, a number of watermarking techniques are being developed. A watermark is embedded in an image or document in the form of an image or pattern that can be used to authenticate the integrity of the image in question. As time goes by, the complexity of the problems that we are dealing with also keeps on increasing.