Reviewerly/exHarmony huggingface dataset:
Dynamic Recognition Method of Track and Field Posture Based on Mobile Monitoring Technology

The recognition technology using conventional sensors or image processing is effective for static gesture recognition, but for dynamic gesture recognition, the moving object can not be tracked in time, resulting in low recognition accuracy and efficiency. In order to optimize the above problems, the dynamic recognition method of track and field posture based on mobile monitoring technology is studied. Set up mobile monitoring equipment in the movement area and the movement track to acquire the data of track and field movement posture. After de-noising the track and field posture data, a Gaussian model is established to segment the image background. Based on the human skeleton model, the motion posture features are extracted. Using BP neural network improved by artificial fish swarm to classify the input movement posture data, the recognition of track and field movement posture is realized. The test results show that the recognition accuracy of the proposed methods is higher than 95%, the recognition efficiency is greatly improved, and it has good practical value.
Classified Evaluation Model of Online Teaching Quality in Colleges and Universities Based on Mobile Terminal

At the moment, only students’ academic achievements or questionnaire statistics are used to assess teaching quality. Its accuracy and efficiency are limited when applied to online evaluation of teaching quality. To address the aforementioned issues, this work investigates and develops an online teaching quality categorization evaluation model based on a mobile terminal. The crawler crawls the necessary data after collecting the evaluation of teaching excellence data on the mobile terminal. The online teaching quality categorization and assessment dimension is built based on data climbing, allowing for multi-dimensional teaching quality evaluation. On this basis, the teaching quality classification and evaluation index system is constructed. An adaptive variant genetic algorithm was used to improve the BP neural network and establish a classification and model for assessing teaching quality. The model test results show that the average evaluation accuracy of the model is 88.16%, and the model has good evaluation efficiency and stability.
Infrared Image Face Recognition Method Based on Signal Interference Technology

Infrared imaging has the advantages of strong anti-interference, independent of visible light source, anti camouflage and anti fraud. Therefore, an infrared image face recognition method based on signal interference technology is proposed. Based on the in-depth analysis of the characteristics of infrared face image, the characteristics of infrared image face recognition are studied, and a new infrared image statistical face recognition method is proposed. The experimental results show that the recognition method studied in this paper is feasible both theoretically and experimentally, and has good recognition ability. The infrared image face recognition method can solve the difficult problem of face recognition under the change of lighting conditions and face camouflage.
Research on Encrypted Transmission Method of Survey Data of Offshore Engineering Buoy

The measurement data of offshore engineering buoy includes vector data and grid data. Due to the large difference in structure and characteristics, the encrypted transmission time is long. Therefore, an encrypted transmission method of offshore engineering buoy measurement data is designed. On the basis of analyzing the motion performance of the buoy structure, the measurement data of the marine engineering buoy are obtained, and the characteristics of the marine environmental load are extracted. Unpack and sort the uplink data, sort the data that needs to be transmitted to other nodes into frames and output them to the downlink, and transfer the data that needs to be sent to the external network to the external interface, so as to improve the transmission efficiency of marine engineering buoy measurement data. The improved Logistic chaotic mapping algorithm is adopted as the main algorithm of data encryption transmission mode to ensure the security of buoy measurement data. The test results show that the encryption transmission method of marine engineering buoy measurement data designed this time can effectively reduce the encryption time and improve the encryption efficiency while ensuring the data security.
Cloud Service-Based Online Self-learning Platform for College English Multimedia Courses

Because the traditional college English multimedia course network independent learning platform has the problems of slow response time and low student satisfaction, a cloud service based College English multimedia course network independent learning platform is designed. Hardware part: simulate the maximum frequency of input signal and design a complete power on reset (POR) and power off reset (PDR) circuit; Software part: increase the investment in multimedia network teaching, improve the management structure of College English multimedia courses, take the Internet as the main carrier, build a network independent learning model, and optimize the software functions of the platform by using cloud services. Experimental results: the average response time of the College English multimedia course network autonomous learning platform in this paper and the other two autonomous learning platforms are 8.464 s, 13.276 s and 13.697 s respectively, which shows that the application effect of the College English multimedia course network autonomous learning platform is better and the satisfaction of students is improved after making full use of the cloud service technology.
A Novel Weight Adaptive Multi Factor Authorization Technology

Facing the increasingly complex computer network system, the importance of network security has become increasingly prominent. Authentication and authorization are important components of computer network security protection. Authentication is the process of verifying the user's identity, and authorization is the process of verifying the user's right to access. In terms of authorization, although there has been a lot of research on related aspects, from the perspective of authority determining factor, it mainly focuses on single-factor authority. For authority control in complex scenarios, single-factor often has great limitations, because it cannot carry out precise control. This paper takes multi-factor authorization as the research object, studies the role of multi-factor in the authorization process, and designs a simple multi-factor authorization algorithm. On this basis, the factor weight adaptive technology is studied, and two adaptive weight algorithms are designed to meet more precise authority control in complex scenarios. Through construction and testing of the actual prototype system, the utility and advantages of multi-factor and weight adaptation in authorization are verified, which expands ideas for subsequent in-depth study of authorization technology in complex scenarios.
A construction of encryption protocols over some semidirect products

Abstract In CANDARW ’18, Isobe et al. proposed a secure encryption protocol on non-abelian groups based on the Anshel–Anshel–Goldfeld key exchange protocol. There have remained two weak points on the protocol: one is that the protocol is indistinguishable against adaptive chosen ciphertext attack (IND-CCA) in a slightly restricted sense, what they call IND-rCCA secure, and the other is that the conditions imposed on groups and hashing schemes are too strict to make the protocol practical. In this article, we propose an IND-CCA secure protocol that resolves those problems. The key idea is to employ some specific semidirect product as platform groups, so that we can achieve the exact IND-CCA security from concise conditions on groups and hashing schemes. Our protocol is not dependent on any computational assumptions on abelian subgroups.
Automatic Recognition Method of Table Tennis Motion Trajectory Based on Deep Learning in Table Tennis Training

In table tennis training, in view of the problem of large errors when tracking fast moving targets, this study proposes an automatic identification method of table tennis motion trajectory based on deep learning. The multi-view image of the target object is collected by a multi-eye camera and a stereo image pair is formed. After stereo matching, the three-dimensional coordinate group of the target object is obtained by using the three-dimensional positioning principle of stereo vision. In the three-dimensional coordinate system, the mathematical model of table tennis motion is established. The initial position of the table tennis ball is detected by the Vibe algorithm, and the target area frame is marked, and the frame of the detected target area is used as the first frame of the KCF target tracking to track the table tennis ball. Based on this, a rotating table tennis trajectory recognition network is constructed based on LSTM. The experimental results show that the total trajectory error of this method is 39.00 mm, which can accurately identify the motion trajectory.
Intelligent Evaluation Algorithm of Undergraduate College English Mobile Learning Efficiency Based on Big Data

In order to better improve the quality of undergraduate English learning and understand the problems of students in the process of English learning, an intelligent evaluation algorithm of undergraduate college English mobile learning efficiency based on big a data is proposed. Combined with big data technology, a college English mobile learning information management platform is constructed, the hierarchical structure of College English mobile learning efficiency is optimized, and the intelligent evaluation index of College English mobile learning efficiency is constructed, The evaluation algorithm is optimized. Finally, experiments show that the intelligent evaluation algorithm of undergraduate college English mobile learning efficiency based on big data has high practicability in the process of practical application and fully meets the research requirements.
Study Demand Mining Method of College Students’ Physical Health Preservation Based on Cognitive Model

In the context of national fitness, contemporary college students physical and mental health of the community focus. In order to solve the problem of low accuracy in the process of learning demand mining, a new learning demand mining method based on cognitive model is designed. Optimizing the structure of PE health preserving curriculum and revealing the laws and rules of scientific PE essence. Health curriculum association model was constructed to classify emotional states and identify the characteristics of individual learning needs of college students. In this paper, we introduce the concept of association rules and use cognitive model to set up the learning needs mining model. The results show that the average accuracy of the proposed method is 74.082%, 64.348% and 65.798%, respectively, which proves that the proposed method is more effective than the other two methods.
Dynamic Evaluation Method of College English Cross-Cultural Teaching Based on Mobile Terminal Technology

The existing studies on intercultural communicative competence have explored the constituent elements, theoretical models, training models and evaluation methods of intercultural communicative competence, but the basic intercultural communicative competence is the main research object, which is not entirely applicable to the practice and research of the cultivation of intercultural communicative competence of English majors.In order to improve the practical applicability of dynamic evaluation of College English cross-cultural teaching, a dynamic evaluation method of College English cross-cultural teaching based on mobile terminal technology is proposed. Combined with mobile terminal technology, this paper constructs the evaluation system of College English cross-cultural teaching, standardizes the evaluation indicators of College English cross-cultural teaching, and optimizes the evaluation algorithm of College English cross-cultural teaching. Finally, the experiment proves that the dynamic evaluation method of College English cross-cultural teaching based on mobile terminal technology has high practicability in the process of practical application and fully meets the research requirements.
Real Time Monitoring Method of Exercise Load in Dance Training Course Based on Intelligent Device

Because of the heavy exercise load in dance training class, students’ bearing capacity is different. In order to better scientifically guide the movement of dance training classes, a real-time monitoring method of exercise load in dance training classes based on smart devices is proposed. Combined with smart devices, it collects and manages a large number of physical fitness indicators of dance training, and uses heart rate changes as load evaluation indicators. Real-time acquisition of the movement status of dance training courses and real-time monitoring. Finally, it is confirmed by experiments that the real-time monitoring method of exercise load in dance training courses based on intelligent equipment has high practicability in practical application, so as to meet the research requirements.
Design of Online Learning Efficiency Evaluation Algorithm for College English Based on Data Mining

The current learning efficiency evaluation algorithm has low accuracy and speed due to the singleness of the indicators and the neglect of the management of the indicators. To this end, this study designs an evaluation algorithm for college English online learning efficiency based on data mining. After analyzing the factors that affect the online English learning efficiency of college students, the evaluation indicators are abstracted and an evaluation system is established. Then use the analytic hierarchy process to determine the weight of the indicators in the evaluation system, and build a data warehouse according to the indicators. Finally, ES-ANN integrated sampling neural network is used to mine and analyze the data in the data warehouse, and the evaluation results of the students’ learning efficiency are obtained. The experimental results show that the evaluation rate of the algorithm is fast and the evaluation accuracy is higher than 93%, which proves that the method greatly improves the evaluation performance.
Situational Simulation Teaching System of Information Literacy Education Based on Mobile Terminal

The traditional situation simulation teaching system has the problems of high space limitation and low response rate, which affect the teaching effect of information literacy education. Therefore, this paper proposes a scenario simulation teaching system for information literacy education based on mobile terminals. Analyze the teaching needs of mobile terminal applications, achieve information compression of information literacy education through DSP chips, and design the microprocessor core module to achieve the scene simulation teaching environment of information literacy education; Adjust the teaching content by calculating the feedback index of teaching effect. After setting the data table format of the system storage simulation scene, the software part is transplanted to complete the system design. The experimental results show that the response time of the designed teaching system is less than 2S, and the information literacy ability of students can be improved. The scene simulation teaching effect of information literacy education is good.
Simulation of Impact Force Absorption of Synthetic Rubber Materials in Volleyball Court Based on Discrete Element Method

In order to accurately simulate the impact force absorption of synthetic rubber materials in volleyball courts, a simulation method of impact force absorption of synthetic rubber materials in volleyball courts based on discrete element method was proposed. According to the related theory of discrete element method, the mathematical equation is established to solve the maximum impact load that can be absorbed by the synthetic rubber material in the volleyball field in the process of human jumping and falling; According to the model results and the stress characteristics of human lower limb bones, the threshold of impact load borne by synthetic rubber materials in volleyball courts is obtained, and the impact absorption rate and deformation characteristics of volleyball courts under safe conditions are determined, so as to provide a simulation basis for the optimization of shock absorption structural parameters of volleyball courts. Finally, the experiment proves that the simulation method in this paper has high practicability in the practical application process and fully meets the research requirements.
Current Situation and Prospects of Bitcoin

With the volatile price of Bitcoin having received widespread media and investor attention in recent years, this paper surveys the existing literature on Bitcoin which focuses on the differences between Bitcoin and traditional currencies and the impact on the real economy. In doing so, various literature and scholarly insights are discussed to formally clarify the economic implications of Bitcoin in the absence of a centralised entity. A SWOT approach is then used to analyse its strengths, weaknesses, opportunities and risks, before parsing Bitcoin's price trends and making predictions for the future based on specific events and news. Society remains sceptical and uninformed about this cryptocurrency. The evidence suggests that bitcoin returns are significantly slightly inefficient at this stage, but there is also a great deal of uncertainty about the future and it could be on the move.
An Investment Value Analysis of Bitcoin Trading

Based on the global economic downturn, the price of Bitcoin has recovered, and new investors are constantly pouring into the Bitcoin market. To ensure that new investors have a basic understanding of Bitcoin and avoid unnecessary losses, this article will analyze Bitcoin's Trading Mechanisms, Price Influencers, and Trading Recommendations The main research finds that when Bitcoin is used as a currency, commodity, risk asset, and digital gold, the price factors are quite different. For example, when it is used as a risk asset, its price is affected by capital flows, market sentiment, and policy regulation. The multiple nature of Bitcoin will have a greater impact on investors' judgments. Through research, it is found that Bitcoin is still the virtual currency with the largest volume, the largest transaction volume, and the brightest future development prospects. The diversity of its nature brings risks but also brings a variety advantages of to the single currency or other financial products.
Hybrid Pointer Based Blockchain Solution and Ledger Data Services Interoperability

The Blockchain concept has erupted from decentralized digital currency world and has reached a high penetration in other areas where the certification of transactions and its immutability is required. The experience on elevated security to event time driven data assertion was transferred from the digital currency to the data driven enterprise world. In applications were highly regulated and certified data intensive systems are needed, Blockchain becomes a strong solution. Areas like the management of the lifecycle of reusable rockets, aeronautics, aerial surveillance, aviation safety, wind turbine and solar farms, electric grids and others, the amount of generated data to be registered and certified is considerable. Many implemented Blockchain solutions tend to register and add to the Blockchain, large amounts of data that reduce the Blockchain management and usability. This work proposes a Hybrid Pointer Based Blockchain solution to overcome the issues, by integrating several parallel services that work side by side with distributed, secured and certified peer node systems that guarantee the data immutability and interconnection to the different blockchains that interact with each other. The proposed Blockchain solution presented in this work interacts with the peer nodes edge services, from software services to hardware generated data and AI assessments.
A methodology for mapping cybersecurity standards into governance guidelines for SME in Portugal

The digitalization of companies and the implantation of Industry 4.0 concepts are emerging and challenging for micro and Small and Medium Enterprises (SME). The benefits are evident for the companies, as their business processes become simplified, and the internationalization and global market penetration turn out to be improved. However, information security and cybersecurity concerns have been raised on SME, as best practices and regulations compliance should be applied. The wide set of these regulations and their broad scope has put constraints on their overall direct mapping and adoption into SME. This paper describes an original methodology to map the Roadmap for Minimum Cybersecurity Capabilities (RMCSC) delivered by the Portuguese Cybersecurity Centre, into the well-adopted international information security ISO 27001:2013 standard. The proposed mapping is oriented toward the characteristics of SME and allows these companies to assess their cybersecurity risk to further mitigate potential identified flaws. The main deliverable of this paper is the developed methodology, which correlates the actions of the cybersecurity capabilities roadmap and the security controls enclosed in the ISO 27001:2013 standard. A questionnaire was developed to support the cybersecurity risk self-diagnosis, and the actions were justified and detailed in this paper. Further developments include the submission of the questionnaire to a case study of SME in the centre region of Portugal.
Towards a beneficial management of personal health records

Documenting and managing their health can be very important for elderly people or people with chronic diseases. The main goal of the AYUDO project is to develop an integrated personal health record as the core of a system that supports these individuals in documenting and analyzing their health and provides them with innovative user interfaces. This paper presents the main results of the AYUDO project, focusing on the following challenges: What kind of health data exist and can be considered, how can the user experience be optimized, and how can interoperability with the user's digital home environment be optimally supported? We therefore present the AYUDO prototype, how it addresses these research questions, and show first evaluation results.
Interoperability approach for Hospital Information Systems based on the composition of web services

Nowadays, many health centers use Hospital Information Systems (HIS) for the daily management of center activities such as patient data management. In Burkina Faso, many HIS are used for patient data management but these systems cannot cooperate because the data sources are often heterogeneous. In order to guarantee a better diagnosis in patient management, physicians need to access these data sources in a unique way through queries. For better analysis of a patient's situation, the health worker may want to access multiple data sources that do not belong to the same health center. This is only possible if the HIS involved interoperate. In a previous work, we proposed an interoperability architecture based on semantic web services. This solution has the advantage of not modifying the current organization of health centers. Indeed, for a complex query, a composition of web services is a solution to satisfy different needs. In this paper, we detail our approach for composing semantic web services. In our approach, the functionalities of each HIS application will be implemented by a web service semantically annotated by an ontology. An ontology-based mediation service is used to enrich the physician query and the MiniCon algorithm to create a composite web service. The composite web service is executed to return the requested data.