Reviewerly/exHarmony huggingface dataset:
CHARACTERISTICS OF APPLIED COMPUTER TECHNOLOGIES IN PRIMARY SCHOOL

The purpose of the study is to consider the problems of primary education, which is under the influence of computer technologies, its influence both on the structure and on the development of students' thinking.Noting the quality of new computer technologies, which is associated not only with their content, but also with their structure, especially with its forms and methods, resources, interactive methods, directions of integration, as well as ways of their implementation, the teacher's ability to perform facilitating functions.Method and Methodology: The methods of theoretical research, observation and interviews were used in the scientific research.Novelty: Depending on the purpose of the lesson, knowledge of the features of computer technology used by primary school teachers leads to increased results and achievements.The theoretical and practical significance of the study lies in the fact that its results allow us to find out how computer technologies used in the educational activities of younger students affect them, to highlight their positive and negative sides.The practical significance of the study can be judged by its results in school practice, the use of computer technology by teachers.The result of the study: Summing up, the author comes to the conclusion that any subject taught with the help of computer technology effectively and adequately affects the student.It is emphasized that the most important thing in the learning process is the use of means and methods that can more clearly explain to the student, in the end, they will master the topics taught.As a result, such developmental conditions motivate students to be active, form their skills in modeling, schematics, algorithms, create favorable opportunities for interest in sculpture, painting, needlework and other similar areas.
YOLO multi-target robust watermarking against cropping attack

Digital watermarking is an important technology for secure communication and copyright protection. It is widely used in audio and video anti-counterfeiting protection, identification and traceability. Irreversible desynchronization attacks such as cropping seriously threaten the security and reliability of digital watermarking. To resist cropping attacks, it is an effective scheme to identify multiple foreground targets in an image and repeat the embedding and extraction of watermarks. Yolov5 can quickly identify the location and category of image targets, and the recognition effect is stable. Based on this, this paper proposes a multi-target robust watermarking algorithm based on Yolov5 target detection. First, the main target in the foreground of the image is selected as the watermark to be embedded area through the YOLO target detection network. Then, the discrete cosine transform (DCT) of the transform domain watermark embedding method is selected and the watermark embedding process is completed in the image target detection frame. After the watermarkembedded image has been subjected to different degrees of cropping attack, the residual image is subjected to watermark extraction operation, and the correlation and bit error rate are calculated with the original watermark, so as to verify the robustness of the watermarking algorithm in this paper against cropping attacks. The algorithm in this paper extracts 128 images from the COCOtestval data set for experimental testing. The results show that the method can not only detect the target in the salient region of the image, but also effectively embed a robust watermark, which is an effective solution to digital watermark cropping attacks.
Design and research of GPS-free autonomous driving system based on SLAM

In the rapid development of computer technology, the module performance of automatic driving system has been further improved. As a basic component, the stability and accuracy of the positioning module in time operation will directly determine the safety of the autonomous driving system. Therefore, scholars from all over the world put forward the application of real-time positioning and Map building (SLAM) algorithm for optimization and innovation in practical exploration. In this paper, based on the research status of autonomous driving system technology, the algorithm scheme of laser vision fusion SLAM is deeply discussed, and the gpS-free autonomous driving system based on algorithm is proposed. The final experimental results show that this system design is the main direction of the future automobile industry.
Research on atomization control system of environmental engineering based on Internet of Things

In the context of the new era, environmental engineering based on their own accumulated experience, based on the Internet of things proposed atomization control system, its core purpose is to solve the application of traditional atomization device, to ensure the quality of environmental engineering treatment. According to the operation of environment engineering analysis in recent years, the traditional atomization device more problems during application, such as the poor quality of work is not standard, the operation, work efficiency is too low, so in artificial intelligence, cloud computing and other advanced technology, comprehensive development based on Internet of things to build new spray control system in environmental engineering, On this basis, the challenges faced by practical engineering are solved. Based on the understanding of the development trend of the Internet of Things industry, this paper conducts a simulation study on the operation of the practical system according to environmental engineering and atomization control system. The final results show that the atomization control system of environmental factory based on Internet of Things technology has more effective functions, which meets the construction and management requirements of current environmental engineering.
Design and research on monitoring system of soil and water conservation measures in power grid engineering

The characteristics of pipe network construction and the influence of power transmission and transformation project on soil and water loss were analyzed, and it was proposed that the filter head would produce a certain amount of soil and water loss. Based on the current status and characteristics of soil and water protection, as well as the related soil and water protection measures and monitoring schemes of power transmission and transformation projects, a reasonable and feasible soil and water protection management system of power transmission and transformation projects has been established. The present situation of water loss is objectively reflected in the construction project, and targeted measures are taken. Soil and water conservation measures provide scientific basis for reducing man-made soil and water loss caused by the construction of power grid. Considering the demand of environmental impact assessment and information management of water conservancy projects in the process of power grid engineering research and design and construction management, mobile GIS technology is used to further extend and expand the traditional environmental impact assessment and water conservancy protection platform. Data such as high-resolution images, basic geographic information, environmental assessment and water conservancy special data based on B/S architecture can be quickly uploaded to mobile terminals to realize offline data download, online map viewing and data functions. Field collection and automatic data upload in the era of mobile Internet smart grid environmental design and operation of a new way has been developed.
A Study on the Relationship between the National Police and the Autonomous Police

The former Police Act was enacted as Act No. 4369 on May 31, 1991, and came into effect on July 31, 1991. The former Police Act had 23 partial amendments or other laws, and the name was changed to the Act on the Organization and Operation of National Police and Autonomous Police (hereinafter referred to as the “Police Act”) while making the 24th full amendment (Act No. 17689, Enforcement on December 22, 2020). The fully revised Police Act was partially revised to Act No. 17990 on March 30, 2021, and the second partial amendment was partially revised to Act No. 19023 on November 15, 2022, and has been in effect since February 16, 2023. The current police law divides police affairs into national and autonomous police affairs, distributes command and supervision authority for each office, and provides a legal basis for the introduction of the autonomous police system. The main contents of the current police law were divided into national police affairs and autonomous police affairs, the head of the National Investigation Headquarters was set up at the National Police Agency, and when it was necessary to recruit and appoint from outside the National Police Agency. This paper aims to study the relationship between the national police and the autonomous police caused by the enactment of the current police law, which aims to introduce the autonomous police system, and legal problems arising from the relationship between the national police and the autonomous police. To this end, first of all, we would like to examine the concept of police affairs based on the concept of police in lecture, and to examine the distinction between national police affairs and autonomous police affairs, focusing on the contents of the police law. In particular, the National Police Commission defined it as a deliberation and decision-making agency, and the city and provincial police committees were defined as consensus administrative agencies, so legal problems were derived and proposed.
Research on line base measurement method based on laser ranging and information fusion

In the steady development of social economy, the city residents living standards is higher and higher, the amount of electricity industry production and life more and more, the cross section of high voltage overhead lines will increase, on the basis of the transmission line capacity has improved, so how to guarantee the safe and stable operation of transmission lines, is the foundation of the national power grid construction conditions. Understand current status of transmission line tower foundation pit measurement is presented in this paper, on the basis of development direction according to the innovation of information technology in recent years, laser range and the application value of the information fusion technology, by using laser ranging and information fusion based measurement method as the core circuit, to guarantee safety and stability of the transmission line operation.
Understanding the Paradigm Shift of AI Technology and Considering Social Issues

AI 기술에 대한 진보가 급격하게 발전하며 사회 전반에 걸친 대부분의 제품과 서비스, 기술에 적용되고 있다. 기존의 단순한 판단을 넘어 상황 인지, 번역, 의학적 판별, 자율 주행은 물론 음악, 그림, 시를 새로 만들어 낼 수 있는 단계에 이르렀다. ChatGPT는 하나의 혁명으로 인지되며 한 사람의 몫을 감당 할 수 있는 역할을 부여하며, 이를 서비스로 확장하기 위한 노력을 기울이고 있다. 대학의 교양교육은 학생에게 다양한 학문 분야의 기초 지식을 배울 기회를 제공한다. 비 IT 계열의 학생도 AI 기술의 패러다임 변화에 대한 기초를 이해하고 적용할 수 있도록, IT 관련 교양 강의에서 다루어질 필요가 있다. 이를 기반으로 학생들의 주 전공과의 연계 및 융‧복합적인 사고 확장이 가능할 것으로 기대된다. 본 논문에서는 이러한 AI 기술 진보를 큰 카테고리로 구분하여 패러다임 변화를 이해하고자 한다. 또한 향후 AI 기술의 진보에 대한 사회적 이슈를 도출하고 이를 고찰하고자 한다.Advances in AI technology are rapidly developed and applied to most products, services and technologies across society. It has reached a stage that it can create new music, pictures, and poems as well as situational awareness, translation, medical judgment, and autonomous driving. A ChatGPT is recognized as a revolution, granted a role of human, and efforts are being expanded it into a service. The liberal arts education of universities enables students to learn basic knowledge in various fields of study. The non-IT students also need a basic understanding of the paradigm shift of AI technology. It is necessary to apply it to IT-related lectures for non-IT students in the liberal arts curriculum at the university. It is expected that students will be able to connect with their main major and expand convergent thinking. In this paper, we explain to understand the paradigm shift by classifying these AI technological advances into large categories. In addition, we intend to derive social issues regarding the progress of AI technology in the future and consider them.
The Longitudinal Relationship Among Academic Self-efficacy, Academic Helplessness, and Academic Achievement of Middle School Students

This study empirically analyzed the longitudinal interrelationships among academic self-efficacy, academic helplessness, and academic achievement of middle school students using data from the 1st-3rd wave of the Korean Children and Youth Panel Survey. By applying the autoregressive cross-lagged model, academic self-efficacy, academic helplessness, and academic achievement are seen to be stable over time, and the level of academic self-efficacy, academic helplessness, and academic achievement at the previous time point are verified to affect each variable at the later time point. As a result, first, academic self-efficacy, academic helplessness, and academic achievement at the time of the first year remained stable until the second and third year of middle school. Second, academic self-efficacy at the previous time negatively predicted academic helplessness at the later time and positively predicted academic achievement. Third, academic helplessness at the previous time predicted academic self-efficacy and academic achievement at the later time negatively. Fourth, while academic achievement at a previous time point positively predicted academic self-efficacy at a later time point, it was found that academic helplessness did not significantly predict academic self-efficacy. Based on the results, it was suggested that the academic self-efficacy intervention program is needed as a preventive measure to resolve academic helplessness in middle school students.
Decree Revision due to Change in SRF Power Generation Facilities

As of 2022, there are 269 facilities for manufacturing and using SRF products nationwide, of which 25 public facilities and 257 private facilities are in operation. Among them, there are 6 places in Korea that have SRF product manufacturing and usage facilities together. However, in the [Law Concerning Resource Conservation and Recycling Promotion] Attached Table 7 and Attached Table 7-2, the quality standards applied by SRF manufacturing companies and the emission standards for power generation facilities are separated, and dual regulations are proposed for integrated systems. This research is a study on the necessity of revision of the law corresponding to the double regulation of the Resource Recycling Law in order to activate the waste resource energy policy. ‘SRF(Solid refuse fuel) product manufacturing & SRF Power generation facility’ is a combination of two facilities, so it should be applied as a facility to be used. In addition, in the SRF manufacturing process, more than 120 kg/day of recyclable waste such as mobile phones, dry batteries, electronic substrates, and electronic equipment is brought in. Therefore, much effort will have to be put into the separate collection policy for domestic waste. Finally, the current environmental impact assessment enforcement standards should be reduced to 5 MW for facilities of 10 MW or more, and should be strengthened by adding benzene, acetaldehyde, and dioxin as mandatory assessment when assessing the environmental impact of SRF power plants.
Reviews

Geophysical Exploration of the Solar System, edited by C. Schmelzbach and S. Stahler, 2022.
Taiji actions judgment based on human posture recognition algorithm

Combining the posture recognition algorithm with Taiji to realize the movement recognition of it. Acquire the video key frame, detect the target of the standard posture of Taiji through the deep learning method, use the posture recognition algorithm OpenPose to extract the coordinates of the key points of the human body, use PAF to calculate the connection of the key points, through the double judgment of angle and distance, select the action with the smallest error from the standard action, which is more than the previous single judgment ,The accuracy rate of each movement has increased by about 4% on average, achieving the expected effect.
Bilingual multi-feature sentiment analysis based on relationship degree

Aiming at the problem that the monolingual corpus (Chinese or English) is affected by the sentence structure in the sentiment analysis task, resulting in a large deviation of the extracted context information, and the traditional model does not consider the dependence between aspect words and context information words, which makes the sentiment classification inaccurate, a bilingual multi-feature sentiment analysis model with the degree of fusion relationship is proposed. Firstly, the attention mechanism is used to calculate the attention relationship degree of the aspect word in the sentence, and the Hadama product operation is performed with the context information to obtain the dependent information of the aspect word. Then, the Bidirectional Gated Recurrent Unit (BiGRU) is used to learn the global serialization information of the sentence to obtain the overall information characteristics of the sentence. Next, through the attention mechanism, the overall information characteristics and the aspect word-dependent features are integrated to obtain single-language information. Finally, through the attention mechanism, the overall information characteristics and the aspect word-dependent features are integrated to obtain single-language information. Experimental results on the public datasets Sem Eval2014 Task4 and AI Challenger 2018 show that the model can obtain sentiment information based on aspect words more comprehensively, and has higher accuracy of text sentiment polarity classification than the comparison model.
Enhanced Preciseness of Suspicious Activity Detection

The major goal of the effort is to detect suspicious activities in surveillance video.&nbsp; The approach created entails a number of stages of suspicious frame recognition and verification, as well as suspicious activity-related analysis of human motions inside a set of discovered suspicious frames. In the work presented here, different types of features are extracted to detect the suspicious activity. The technique includes GLCM feature extraction, which includes features like energy, prominence, contrast, entropy, and homogeneity type of features, matching using Euclidian distance, and descriptor features acquired by using Harris corner features and cosine similarity index estimation. The successful suspicious activity identification rate is examined, demonstrating a better performance and time-saving technique when evaluating a sizable collection of surveillance video.
Evolution of Training Methodology in the Era of Software Technologies

This paper examines the evolution of training methods and its historical context. The paper highlights the major changes and innovations that have shaped the training methodology and discusses the implications of these changes for the future of learning and development. The purpose of the research is to identify the roles and functions of the teacher and the student under conditions of the new paradigm in the learning process of adaptive e-Learning. The problem we explore in the paper concerns a paradigm shift in teaching from a bipolar process to a tripolar process. Adaptive e-Learning is a new stage in the evolution of the learning process, where adaptation is achieved between subjects (trainers and learners) and objects (software systems). In adaptive e-Learning environments, the software system that assists and replaces part of the functions of the training teacher takes on an increasingly important role. The role of the teacher has been elevated to a higher organizational, pedagogical and methodical level. The paper outlines these trends by examining learning approaches from a modern perspective, roles and functions of the teacher in e-Learning environment, roles and functions of the student in an e-Environment, models of learning and the characteristics of adaptivity and adaptability e-Learning Systems. Finally conclusions are drawn based on the presented analysis.
Data pricing for vertical federated learning: an approach based on data contribution

Federated Learning (FedL) emerged as a privacy-aware alternative, creating an effective means for multiple data providers to enable collaboration on training models without accessing the original data. Vertical federated learning (VFedL), as a crucial classification within FedL, has always been primarily utilized to train a machine learning model with non-uniform data from different providers. Despite the VFedL's benefits in facilitating collaborative training models while safeguarding data privacy, it remains a daunting challenge to incentivize more valuable data providers to participate in the VFedL due to the absence of scientific data pricing and precise measurement of data contributions from participants in practical operations. In this paper, we construct a scientific data pricing method based on the participants' data contribution score to federated models, so that all data providers can be compensated fairly. Firstly, an accurate measurement method of the data contribution score of each federated participant to the global model is constructed based on shapely values for Monte Carlo optimization. Then, taking the data contribution score as the input variable, we formulate a data pricing game model based on Stackelberg with the hosts as the leader and the guest as the follower in VFedL. We further solve our model and analyze the guest's optimal data usage strategy based on data contribution score and the hosts' optimal data pricing strategy. Our method has been proven through numerical experiments to precisely assess the data contribution score of participants with the Federated Logistic Regression model. These study findings can also offer management direction for the FedL service providers.
Research RSA accumulator-based stateless blockchain optimisation for smart contracts

Scalability has grown more important as blockchain technology is adopted. This study introduces RSA-accumulator-based stateless blockchain performance optimization. Verifiable computing technology and distributed design compress node state data and prove smart contract validity, while a new smart contract execution logic and transaction verification scheme solve the problem of transaction verification and execution under stateless conditions, increasing system throughput. The technique reduces consensus node storage and improves throughput compared to Ethereum blockchains, according to experiments. This study examines the scheme's concept, implementation, and blockchain scalability potential.