2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)最新文献

{"title":"Designing an Adaptive Learning Platform Based on OBE Teaching in Cloud Computing","authors":"Hao Liu","doi":"10.1109/ICKECS56523.2022.10060398","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060398","url":null,"abstract":"Currently, cloud computing has become a new educational model, which not only solves the problem of resource access for teachers and students in the traditional teaching process, but also promotes the sharing and optimization of educational resources. Currently, cloud computing technology has been accepted and deeply used by more and more universities. The adaptive learning platform based on OBE teaching mode is designed and formed in this context. The main purpose of this paper is to study the design of adaptive learning platform based on OBE teaching and learning from the perspective of cloud computing. This paper combines the “OBE” concept with various learning models that are currently popular. The platform can be used for teaching without the need for teachers to design teaching programs and change the way teachers teach and learn. The adaptive learning platform can dynamically adjust the learning program, content and resources according to the actual situation and learning of the students, and the students can exit the system interface at any time after completing their assigned learning tasks and continue learning after self-modification of the current learning content. This platform enables students to learn each knowledge area more independently by dynamically adjusting the management of classroom progress and course schedule through independent selection of learning content, adjustment of learning time and learning plan. At the same time, teachers can use the platform to provide personalized guidance and supervision, as well as comparative analysis and summary of learning results.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130550331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic Simulation System of Financial Risk Based on Artificial Intelligence TVP-FAVAR Model","authors":"Nannan Sun","doi":"10.1109/ICKECS56523.2022.10060405","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060405","url":null,"abstract":"The financial risk dynamic simulation system is a computer based, artificial intelligence based system designed to predict and control financial risks by simulating the humancomputer interactive development environment. The purpose of this paper is to bring convenience to people and provide financial risk early warning system. Only by accurately grasping the characteristics, attributes, size and change trend of financial risks, can economic entities have a target, suit the remedy to the case, and formulate effective financial management plans. The foundation of mastering financial risks lies in financial risk assessment. This paper mainly uses the way of experimental testing, using control variables to detect the system. The experimental results show that when the number of concurrent times is 60, the CPU utilization of the database server of the analysis module and the early warning module is the same, and the response time is less than 0.3s. Therefore, the system can be applied to financial risk detection.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"381 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121467931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RBD-AIIoT: Rice Blasts Detection Combining AI & IoT","authors":"M. Vidhya, Dahlia Samb, A. Vidhya","doi":"10.1109/ICKECS56523.2022.10059930","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059930","url":null,"abstract":"Rice blast disease is the most common disease in rice-growing areas in the world, and it is the most serious in India. Rice is threatened by a number of illnesses. For precise disease prevention and control, it is critical to establish rapid and accurate identification of rice plant illnesses. Many rice explosion organization methods necessitate the expertise of experienced agriculturalists. Keeping a watch on the farm for signs and symptoms of contamination takes a lot of time and work. To detect rice plant illnesses, current techniques investigation use snap shots or non-photo hyper spectral statistics, which necessitate human strategies to obtain the snap photos or data for evaluation. Rice blast detection is based on a non-photograph IoT sensor-based IoT infrastructure for soil cultivation. Unlike image-based fully plant disease detection systems, our agricultural sensors generate quasi information that can be routinely taught and analyzed by the AI mechanism in real time. This research proposes RBD-AIIoT method for detecting rice plant ailments that combines AI and IoT tools. RBD-AIIoT provides agriculture sensors generate non-image facts that AI can robotically analyses and study, unlike photo-based solutions for plant disease forecasting and also this proposed system sense Temperature, Humanity, Soil, Rain and Pressure of the environment to detect the rice blasts.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132221954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of Mathematics Teaching System Based on Computer Network Multimedia Technology","authors":"Houguo Xiao","doi":"10.1109/ICKECS56523.2022.10060849","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060849","url":null,"abstract":"With the continuous development of network technology, the relationship between multimedia computers and traditional computers is gradually being paid attention to, and has been widely used in various fields. In the Internet era, the effective management and utilization of network information is an inevitable requirement of the current trend of informationization, digitalization and intelligence of society. The effective combination of traditional computers and digital computers can greatly enrich multimedia teaching resources and improve students' learning efficiency. This paper first analyzes the existing network multimedia teaching system and its problems, and analyzes the functions of the computer network multimedia teaching system that needs to be improved, and puts forward the relevant concepts of computer network multimedia technology, and then analyzes mathematics teaching based on mathematics teaching system. Finally, this paper uses MATLAB software to build out a complete and efficient digital multimedia system. This system combines DX9 technology to realize the function of intercepting player screen, and provides practical functions such as remote tutoring, file transfer, online information, screen recording, etc. These functions make it easy for learners to learn through network multimedia technology, and provide a more convenient learning environment for students.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132554254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rules Mining of Sports Training Data Management Based on Fuzzy Clustering Algorithm","authors":"Yinyue Tan","doi":"10.1109/ICKECS56523.2022.10060684","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060684","url":null,"abstract":"The application of scientific training theory and sports training means to the management of college students' sports training can effectively improve the physical quality of college students. In order to solve the shortcomings of the existing research on sports training data management, this paper discusses the association rule mining algorithm, data mining objects and sports application decision support system, as well as fuzzy clustering algorithm, and investigates and discusses the establishment of knowledge base and data mining tools. A mining model of sports training data management rules based on fuzzy clustering algorithm is established. The experimental data show that the running time of the algorithm decreases with the support, and the running time is only 30s when the support is 0.3. Therefore, it is verified that the algorithm has a good effect in the mining of sports training data management rules.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134048158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remote Monitoring and Defect Detection System for Transformer Assembly","authors":"Xiaoping Zhou, Xiaoming Zheng, Zhihong Guo, Fu-hai Lin, Xidan Peng, Xiaoqiang Liu","doi":"10.1109/ICKECS56523.2022.10060454","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060454","url":null,"abstract":"The development of the power industry cannot be separated from the continuous updating and improvement of power equipment, which includes the maintenance and overhaul of transformers and other power equipment. Traditional transmission and distribution equipment maintenance has certain time limitations and is not conducive to rapid elimination of defects. In order to improve the quality and reliability of transformers, it is necessary to achieve effective monitoring of transformer defects by means of assembly. This paper investigates the development of a transformer abnormality detection and monitoring system using wireless communication technology, which allows the production process to be displayed on the console in real time and the corresponding data to be sent to the control center via the client. This paper analyzes and proposes a strategy for the hidden quality problems in the transformer installation process, and realizes a RM and defect detection system for transformer assembly, which enables real-time monitoring and defect detection of transformers, while the operation interface can be displayed directly on the computer screen, making it easy to view and analyze the working status of the transformer after installation and improving work efficiency. This paper adopts computer and network technology to improve the quality control of transformer assembly production, analyzes the problems in the process of transformer assembly inspection, and proposes the design of a RM and defect detection system for transformer assembly. Through the above analysis of the working principle and application examples of the RM and defect detection system for transformer assembly, the application of RM and defect detection system for transformer assembly process and rapid fault detection can be realized, which improves the quality control effect and work efficiency in transformer assembly and achieves the purpose of saving production cost and improving product quality. It will greatly promote the development of the transformer manufacturing industry, and has a very important role in the economic development of the power industry.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131654427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of ID3 Algorithm in Mental Health Education of College Students","authors":"Zheng Yan","doi":"10.1109/ICKECS56523.2022.10060591","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060591","url":null,"abstract":"College students will be the main force of our country's socialist construction. Their psychological condition, but also the whole country and nation. Therefore, strengthening college students' mental health education is not only, but also the need of their own growth and development, but also the inevitable requirement of the comprehensive development of society high-quality innovative talents. The application of ID3 algorithm in college is not a new concept. Many researchers and psychologists have used it to of patients with mental disorders. Using this algorithm can help identify the psychological problems of patients with depression, anxiety and stress. The of ID3 algorithm involves the use of algorithms developed through research on different types of disorders, such as anxiety, depression and other similar problems.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131182655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solving Vehicle Routing Problem for Intelligent Systems using Delaunay Triangulation","authors":"M. Sakthivel, Shashi Kant Gupta, Dimitrios Alexios Karras, Alex Khang, Chandra Kumar Dixit, Bhadrappa Haralayya","doi":"10.1109/ICKECS56523.2022.10060807","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060807","url":null,"abstract":"Intelligent Systems are of many types. This work focuses mainly about the autonomous drones and UAVs. Only for military objectives were Unmanned Aerial Vehicles (UAV) invented and developed. They have lately increased in use, nevertheless, in the civil applications this study shall examine. This technology has a wide range of applications, including in agriculture, environmental protection, public safety, and traffic flow management. The use of unmanned aerial vehicles (UAVs) in smart cities is another promising new use for this technology. By 2050, the world's population is expected to have doubled. As a result, towns and communities face new difficulties and possibilities as a result of these expectations. For any smart city design, efficiency and cost-effectiveness are the primary objectives. After the global economic downturn, people's curiosity for smart cities has grown exponentially. Unmanned aerial vehicles' (UAVs') to discover the optimal route between a source and a destination, vehicle routing is a crucial field for study. There are a number of crucial considerations to be made in order to address these challenges in vehicle routing for UAVs. UAVs must be able to see where they are in relation to the map or graph in order to make these judgments. Planned routes for unmanned aerial vehicles are not only designed to minimize the risk of collisions, but they are also designed to be as efficient as possible. To get at the end destination in the least amount of time feasible, solution for vehicle routing problems is essential. In this work, we provide a solution to the vehicle routing issue in the form of an algorithm. The use of Delaunay triangulation is done to achieve the shortest path for the intelligent systems from source to destination. The experimental findings demonstrate that the Lin-Kernighan technique performs better than alternative algorithms for addressing the vehicle routing issue.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133012023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative Application of Game Operation Interface UI Design under the Background of Internet of Things Intelligent Technology","authors":"Peiyun Cheng, Jiajing Mi, Yanlong Liu","doi":"10.1109/ICKECS56523.2022.10060817","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060817","url":null,"abstract":"With the development of intelligent technology of the Internet of Things, the increase of people's interest and demand for games, as well as the pressure of product competition in the mobile game industry and the increasing influence of the Internet of Things on the development and life of human society, players have a sense of game experience. Requirements are also constantly increasing. In order to solve the deficiencies in the research on the ui design and application of the game operation interface under the background of the existing Internet of Things intelligent technology, this paper discusses the components of the game operation interface ui and the application of the functional equation of the Internet of Things ESGP algorithm. The survey method and functional requirements of the innovative application of ui design of game operation interface under the technical background are briefly introduced. And discuss the workflow design of the game operation interface ui design application model under the background of the Internet of Things intelligent technology, and finally analyze the survey data of the application of the game operation interface ui design model under the background of the Internet of Things intelligent technology. The experimental data shows that the three proposed in this paper are The number of students in each class is between 89% and 93 %, and the number of people who like the color is between 87% and 90%. The degree of liking is between 90% and 92%, so we can see the feasibility of the ui design model of the game operation interface under the background of the intelligent technology of the Internet of Things.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131843059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perception of Flaws in Steel using ResNet50 Algorithm","authors":"Lakshmi S Hanne, S. V, Nandan K N, L. S, Kiran Rai Suresh Malali","doi":"10.1109/ICKECS56523.2022.10060127","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060127","url":null,"abstract":"Automatic identification of steel surface faults is critical in the steel industry for ensuring product quality. The old technique, however, cannot be employed efficiently in a manufacturing line due to its poor accuracy and slow working speed. The existing, well-liked deep learning-based algorithm also suffers from a lack of precision, and there is still much opportunity for development. This paper presents an approach for reducing average running time while enhancing accuracy by combining upgraded faster region convolutional neural networks (faster R-CNN) with improved ResNet50. The updated ResNet50 model starts with a picture and then adds the deformable revolution network and a better cutoff to determine if the sample has defects or not. The algorithm outputs a sample free of flaws if the likelihood of a defect is less than 0.3. Otherwise, the data are added to the modified faster R-CNN, which includes matrix NMS, enhanced feature pyramid networks, and spatial pyramid pooling. The location and classification of the sample defect, if present, are the output's final results.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123893828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}