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

{"title":"Intelligent Algorithm in Computer Network Security","authors":"Shuhan Wang","doi":"10.1109/ICKECS56523.2022.10059831","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059831","url":null,"abstract":"With the development of Internet technology, nowadays the network has basically become an indispensable part of people's daily life. And it has been used in a wide range of industries, such as economics, technology, education and the military. Although Internet technology has become very mature, network security still needs to be addressed. Since network security is related to social development and national security, it needs to be taken seriously. So, this paper makes relevant research on solving network security problems based on intelligent algorithms. Firstly, the background and significance of network security are studied, and then the relevant intelligent algorithms are explained. Secondly, computer network security is simulated based on intelligent algorithm. Through the analysis of experimental data, when the maximum moving speed of the node exceeds 25m / s, ant_ The data packet delivery rate of T protocol exceeds that of AODV, which means that in the case of high-speed movement of nodes, the secure routing of ad hoc network based on ant colony algorithm greatly improves the network packet delivery rates.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"23 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":"126257622","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":"Intelligent Fusion Approach for MRI and CT Imaging using CNN with Wavelet Transform Approach","authors":"Kapil Joshi, Vivek Kumar, Vaibhav Sundaresan, Sai Ashish Kumar Karanam, Dharmesh Dhabliya, Finney Daniel Shadrach, Ramachandra A C","doi":"10.1109/ICKECS56523.2022.10060322","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060322","url":null,"abstract":"Medical image fusion (MIF), with its numerous medical uses for precisely diagnosing medical imaging, has attracted meticulous attention. The fused picture disadvantages from weak contrast, uneven lighting, the existence of noise, and incorrect fusion procedures, leading to an insufficient sparse representation of significant characteristics. Various MIF approaches have been presented to date. This study suggests a bottom-hat-top-hat paradigm for morphology preprocessing to deal with noise and non-uniform light. The wavelet transform approach then effectively restores all important aspects in all dimensions and dimensions by breaking the images down into the Low-Pass (LP) and High-Pass (HP) sub-bands. In order to efficiently capture smooth edges and textures, Different sides of the Convolutional Neuronal Network receive the HP sub-bands This is done through a process of Feature Recognition, Initial Segmentation, And Consistency Confirmation. Whereas the LP sub-bands are merged using local energy fusion, the energy information is recovered utilizing the averaging and selection mode. Qualitative evaluations, both subjective and objective, are used to support the proposed strategy. 12 field experts proved the effectiveness of the proposed methods based on precise details, visual contrasts, distortion in the reconstructed images, and no data redundancy using a customer specific example to make the subjective judgments.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"136 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":"126272821","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 and Application of Innovative Cluster Education System Based on Artificial Intelligence Algorithm","authors":"Li Wei, H. Xie, Ramachandra A C","doi":"10.1109/ICKECS56523.2022.10060623","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060623","url":null,"abstract":"After entering the Internet era, people are increasingly digitized and algorithmized. Technology platforms often use their technical advantages in data processing and algorithms to generate an implicit right of dominance and control, thus forming a unique artificial intelligence algorithm. Operational logic. The unique operational logic of artificial intelligence algorithms is profoundly changing the previous production methods and lifestyles. As a modern transformation model of concentrated industrial development, industrial clusters have created a special entrepreneurial environment, and their advantages in resource concentration can also help young entrepreneurs increase their chances of success. With the vigorous development of my country's information technology and artificial intelligence algorithms, its derivative services, technologies and their impact on the social market have further promoted the demand for market innovation. Based on the impact of artificial intelligence algorithms on the social market, this study defines the mutual promotion of “professional +” innovation and entrepreneurship education and the development of innovative industry clusters from the background of innovation industry clusters. On the basis of clarifying the positive role of innovation industry cluster system in innovation and entrepreneurship education, this research explores the practice form of innovation and entrepreneurship education system in colleges and universities that is more in line with the needs of innovation industry cluster talent development.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"27 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":"131895150","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":"A Novel Framework of Network Packet Loss Detection Using Random Forest Algorithm over Support Vector Machine Learning Algorithms to Improve Accuracy","authors":"NV Midhun Sai, Madderi Sivalingam Saravanan, P. Subramanian","doi":"10.1109/ICKECS56523.2022.10059899","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059899","url":null,"abstract":"The objective of this paper is to employ a novel framework of network packet loss detection with increased accuracy rate using Novel Random Forest classifier compared to a Support Vector Machine (SVM) Classifier. Materials & Procedures: The data set used in this study utilizes the publicly available Kaggle network traffic data set and UCI machine learning repositories. The sample size of network packet loss detection with improved accuracy rate sample size was 50 (Groups 1 and 2 each had 25 participants), and the computation was performed using a G-power of 0.8, with alpha and beta values of 0.05 and 0.2 and a 95% confidence interval. A network packet loss detection with improved accuracy rate is performed by Random Forest (RF) whereas multiple samples $(mathrm{N}=10mathrm{A})$ SVM were a number of samples $(mathrm{N}=10)$ Results: The Novel Random Forest classifier has 93.56% higher accuracy rates in comparison to the accuracy rate of SVM is 89.23%. There exists a statistical significance difference between two groups $(mathrm{p}=0.0231;mathrm{p} < 0.05)$ with confidence interval 95%. Conclusion: Novel Random Forest when compared, a classifier offers more accurate results. to SVM for network packet loss detection with improved accuracy rate.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"7 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":"130478227","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":"Optimization of Library Self-service Borrowing and Returning Machine based Asynchronous Vacation Queuing","authors":"Xiu Dong, J. Zhang, Shuyi Dong, Xianchao Wang","doi":"10.1109/ICKECS56523.2022.10059991","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059991","url":null,"abstract":"With the development of informatization and intelligentization, more and more university libraries have purchased a number of self-service borrowing-returning machines(SSBRMs) to replace manual services and improve the quality of service. To optimize the SSBRMs configuration, this paper introduces an M/M/c queuing system with asynchronous vacations to model the service of these SSBRMs, selects the average number of readers in the system, the number of SSBRMs on vacation and the average waiting time of readers as performance indicators, and solves and simulates the model. The results show that the performance of the system can be improved when the number of SSBRMs allowed vacations. Therefore, this model not only improves the satisfaction of readers, but also provides a theoretical basis for the optimization of the SSBRMs.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"17 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":"122247503","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":"The Construction of Foreign Language Innovation and Entrepreneurship Information Platform Based on Big Data Technology","authors":"Xiaoming Deng","doi":"10.1109/ICKECS56523.2022.10059787","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059787","url":null,"abstract":"Big data technology uses a scientific data integration method to analyze and store data to maximize the value of data. When building a foreign language innovation and entrepreneurship information platform, the big data technology can be used to mine innovation and entrepreneurship information or news through the data mining function, and then use parallel computing to test the performance of the platform. In this regard, this article adopts the Spring MVC framework development platform foreign language innovation and entrepreneurship information platform architecture, and designs multiple functional modules. Since logging in to this platform requires a unique login account and password, each user can only use his own registered account and password to log in. This paper verifies that the foreign language innovation and entrepreneurship information platform designed in this paper has good performance and meets the operating requirements by testing the platform memory, CPU and service responsiveness. In addition, this paper analyzes that in the process of uploading entrepreneurial information, the platform executes smart contracts to encrypt and save the information.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"14 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":"128342051","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":"Research on Risk Assessment Algorithm for Power Monitoring Global Network Based on Link Importance and Genetic Algorithm","authors":"Yu Huang, XiaoJie Shen, Yaohui Xiao, Meng Sun, Hua Liao, Weiyi Yuan","doi":"10.1109/ICKECS56523.2022.10060201","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060201","url":null,"abstract":"To improve the risk assessment capability of the Power Monitoring Global Network (PMGN), based on the Software Defined Network (SDN) architecture, a Link Importance Evaluation Algorithm (LIEA-ARBR) based on the Active Route and the Backup Route was constructed. The link association risk degree before and after the link failure at different levels was calculated, and the adaptive coefficient was used to fuse the link association risk of the three-layer link, and the link importance degree of the active and backup routes was formed. The simulation results showed that the LIEA-ARBR can more accurately and reliably evaluate the importance of network links whether it was a small or large network, and services were randomly distributed or deterministically distributed, providing a prerequisite for risk assessment and control of PMGN. Taking the network risk as the optimization goal, a routing optimization strategy based on genetic algorithm is formed. The network risk assessment result based on Genetic Algorithm was 37.43% lower than that of the Shortest Path Algorithm; when subjected to simulated network attacks, the CNR of important links was reduced by nearly 20%, and the overall network risk was reduced by nearly 19%.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"94 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":"131648868","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 and Analysis of Vehicle Using SAE Regulation","authors":"V. Sreevatsan, E. Abithap, R. A. P. Lalan, Ram P Sri, B. S. Naibal","doi":"10.1109/ICKECS56523.2022.10059725","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059725","url":null,"abstract":"The Society of Automotive Engineers (SAE) conducts various events for engineering students throughout the world. One such event is EBAJA where students design, analyse, simulate, fabricate and validate an All-Terrain four-wheeled single-seater vehicle. The roll cage, suspension, steering, braking, and transmission system details are all mentioned in this paper. We use a variety of applications like SOLIDWORKS, ANSYS and MATLAB. The goal of the design team was to achieve the best manufacturing cost, weight, overall aesthetics and performance while following the SAE regulations.","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":"130819010","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":"Improve Python's Random Forest Algorithm in the Intelligent Construction of Digital System in Power Grid Enterprises","authors":"Jia Liu, Rui Dang, Hongyu Di, Kai Yang","doi":"10.1109/ICKECS56523.2022.10060389","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060389","url":null,"abstract":"Power grid enterprises play an important role in the development of national economy, with a large scale of management assets and high requirements for internal audit. In order to meet the increasing requirements of power grid enterprises for internal audit, the internal audit work on the one hand should actively use information means to carry out digital audit, on the other hand, it is necessary to cooperate with business activities to conduct industrial audit integration, so as to better play the function of internal audit. This paper aims to study the intelligent construction of the improved Python random forest algorithm in the digital system of power grid enterprises. This paper takes the context of digital transformation, First of all, focusing on the literature research of power supply service level, digital transformation and digital practice, Clarifying the research focus, direction, and content of this study, Secondly, around the concept of power supply service and enterprise digital transformation, To study the theoretical basis of service characteristics, service leading logic, service package, service quality measurement and so on, Laid the foundation for the status of power supply service level of A power grid enterprises, Then conduct research for A power grid enterprise customers and internal personnel, Summarize the problems existing in the power supply service, And to analyze the causes of the problems found in the investigation, Four reasons are identified, They are that the service platform operation lacks Internet thinking, the service evaluation mode is more conservative, the customer management mode is not scientific, and the employee allocation mode is not scientific, Then we proposed 10 strategies from the two aspects of optimizing existing services and developing value-added services, Including improving the operation level of the service platform, improving the business model of responding to customer needs, optimizing the power supply service feedback and evaluation system, narrowing the gap in regional power grid services, and actively connecting with digital government requirements, As well as the establishment of customer maintenance service system, to create a new energy vehicle service ecology, to provide comprehensive energy services, to explore the financial attributes of power commodities, to increase the administrative disclosure of agent power purchase business. Finally, the safeguard measures are put forward for the strategy implementation, and the corresponding measures are formulated from four aspects: enterprise organization guarantee, digital talent guarantee, compliance guarantee and system guarantee","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"97 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":"130988285","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":"Online Aesthetic Education Information Teaching System Based On Big Data Cloud Platform","authors":"Jing Zou, Yiling Chen","doi":"10.1109/ICKECS56523.2022.10059986","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059986","url":null,"abstract":"With the continuous in-depth integration and innovation of emerging information technologies represented by big data, cloud computing, artificial intelligence and mobile Internet with higher education, higher education has ushered in unprecedented strategic opportunities in the field of innovating education and teaching methods and building high-quality online teaching resources. Aesthetic education in Colleges and universities undertakes the important task of improving students' aesthetic and humanistic accomplishment and cultivating their aesthetic appreciation, expressiveness and creativity on the basis of specialization. Its teaching reform is also imperative. The big data cloud platform-based online aesthetic education information teaching system is a web-based application that offers online training and instruction for aesthetic education specialist. The system uses the latest technology to easily access various courses, including beauty, massage therapy and other related subjects. In addition, it allows users to create their own courses by uploading content from any source they want.","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":"132465964","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}