Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00103
Weijun Shan, Chi Zhang, Qing Li, Jun Yu
This paper presents a lightweight countermeasure scheme of SM4 cryptographic algorithm against side channel analysis attacks. SM4 is one of the widely used block ciphers in information computing and data communication. However, as it is usually implemented in cryptographic devices, it is definitely under the threat of side channel analysis attacks. Some schemes of implementations have been provided as the countermeasures against the side channel analysis attacks, which leads to a relatively complicated realization on both cost and performance. This paper proposes a new mask scheme for SM4 implementation with lightweight cost and low performance loss. Experiment results show the effectiveness of the method against the side channel analysis attacks.
{"title":"A Lightweight Countermeasure of SM4 against Side Channel Analysis","authors":"Weijun Shan, Chi Zhang, Qing Li, Jun Yu","doi":"10.1109/ICNISC57059.2022.00103","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00103","url":null,"abstract":"This paper presents a lightweight countermeasure scheme of SM4 cryptographic algorithm against side channel analysis attacks. SM4 is one of the widely used block ciphers in information computing and data communication. However, as it is usually implemented in cryptographic devices, it is definitely under the threat of side channel analysis attacks. Some schemes of implementations have been provided as the countermeasures against the side channel analysis attacks, which leads to a relatively complicated realization on both cost and performance. This paper proposes a new mask scheme for SM4 implementation with lightweight cost and low performance loss. Experiment results show the effectiveness of the method against the side channel analysis attacks.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126153357","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}
Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00172
Ke Wang
In “Opinions on Promoting the High-quality Development of Modern Vocational Education”, college-enterprise cooperation is especially proposed as an important means of vocational education development. There are some problems in the college-enterprise cooperation of modern logistics management major in higher vocational colleges, such as the inability of enterprises and colleges to share resources effectively, the mismatch between enterprise post demand and college personnel training, and the inconsistency between teaching objectives and industry development. In view of the above problems, this paper proposes the construction of digital intelligence college-enterprise cooperation personnel training sharing information platform, digital intelligence college-enterprise cooperation personnel assessment sharing system and teacher sharing teaching system based on digital intelligence college-enterprise cooperation personnel training information platform.
{"title":"Research on the Construction of Digital Intelligence College-Enterprise Cooperation Sharing System of Modern Logistics Management Specialty in Higher Vocational Colleges","authors":"Ke Wang","doi":"10.1109/ICNISC57059.2022.00172","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00172","url":null,"abstract":"In “Opinions on Promoting the High-quality Development of Modern Vocational Education”, college-enterprise cooperation is especially proposed as an important means of vocational education development. There are some problems in the college-enterprise cooperation of modern logistics management major in higher vocational colleges, such as the inability of enterprises and colleges to share resources effectively, the mismatch between enterprise post demand and college personnel training, and the inconsistency between teaching objectives and industry development. In view of the above problems, this paper proposes the construction of digital intelligence college-enterprise cooperation personnel training sharing information platform, digital intelligence college-enterprise cooperation personnel assessment sharing system and teacher sharing teaching system based on digital intelligence college-enterprise cooperation personnel training information platform.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130262034","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}
Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00105
Liang Zhang, Zhi-hui Zhou, Y. Xu, Xun Guan, Yan Zhang
Based on the need and standard of oil fume emission in the central kitchen, we built a central kitchen oil fume emission monitoring system. The system includes some sensors which communicate with the host computer. The variation law of purification rate is explored by changing the humidity and the amount of oil fume through experiments. It provides experiences for building an automated fume platform afterwards.
{"title":"Design and Test of Oil Fume Monitoring System for Central Kitchen","authors":"Liang Zhang, Zhi-hui Zhou, Y. Xu, Xun Guan, Yan Zhang","doi":"10.1109/ICNISC57059.2022.00105","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00105","url":null,"abstract":"Based on the need and standard of oil fume emission in the central kitchen, we built a central kitchen oil fume emission monitoring system. The system includes some sensors which communicate with the host computer. The variation law of purification rate is explored by changing the humidity and the amount of oil fume through experiments. It provides experiences for building an automated fume platform afterwards.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130186848","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}
Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00190
Tianpeng Gao, T. Yu, Jialing Yan
In the digital age, data has a great impact on politics, economy and society. It's the government's response to the changes in the information age that promote the opening of government data and build an open platform for government data. The paper constructs a set of evaluation index system of open government data. Based on BSC model, it takes the strategic target of government data open platform as the core and starts from four dimensions of output, users, carrier and operation guarantee. It is helpful for the performance evaluation of local government data open platform in China and provides practical guidance for the development of government data open platform.
{"title":"Research on Performance Evaluation of Government Data Open Platform","authors":"Tianpeng Gao, T. Yu, Jialing Yan","doi":"10.1109/ICNISC57059.2022.00190","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00190","url":null,"abstract":"In the digital age, data has a great impact on politics, economy and society. It's the government's response to the changes in the information age that promote the opening of government data and build an open platform for government data. The paper constructs a set of evaluation index system of open government data. Based on BSC model, it takes the strategic target of government data open platform as the core and starts from four dimensions of output, users, carrier and operation guarantee. It is helpful for the performance evaluation of local government data open platform in China and provides practical guidance for the development of government data open platform.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121825680","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}
The quality of images collected outdoors is compromised owing to hazy weather, resulting in contrast reduction and degradation. To solve this problem, a new dehazing algorithm that combines spatial and channel feature maps was proposed. The algorithm comprises of two parts: image dehazing and image enhancement. The first part uses the anti-symmetric nature of the Involution operator and the convolution operator to extract the spatial and channel feature maps of the hazy image completely. This part can restore the dehazed image by combining it with a deformed atmospheric scattering model. In the second part, a contrast-limited adaptive histogram equalization algorithm is used to improve the dehazed image. This process can improve the contrast and brightness of an image and enhance its detailed information. The experiment used the structural similarity index measure(SSIM), peak signal-to-noise ratio(PSNR), and other parameters to compare the algorithm with three other common dehazing algorithms to verify the dehazing effect and robustness of the algorithm. The experimental results show that the proposed algorithm improved the SSIM and PSNR by 4.72% and 15.96% respectively.
{"title":"A Novel Approach for Image Dehazing via Spatial and Channel Feature Fusion","authors":"Duofeng Wang, Yanbo Zhang, Zilun Wan, Fengyang Gu, Mingyue Chen, Yurong Zhou, Yong Zhang, Yi Zhu","doi":"10.1109/ICNISC57059.2022.00070","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00070","url":null,"abstract":"The quality of images collected outdoors is compromised owing to hazy weather, resulting in contrast reduction and degradation. To solve this problem, a new dehazing algorithm that combines spatial and channel feature maps was proposed. The algorithm comprises of two parts: image dehazing and image enhancement. The first part uses the anti-symmetric nature of the Involution operator and the convolution operator to extract the spatial and channel feature maps of the hazy image completely. This part can restore the dehazed image by combining it with a deformed atmospheric scattering model. In the second part, a contrast-limited adaptive histogram equalization algorithm is used to improve the dehazed image. This process can improve the contrast and brightness of an image and enhance its detailed information. The experiment used the structural similarity index measure(SSIM), peak signal-to-noise ratio(PSNR), and other parameters to compare the algorithm with three other common dehazing algorithms to verify the dehazing effect and robustness of the algorithm. The experimental results show that the proposed algorithm improved the SSIM and PSNR by 4.72% and 15.96% respectively.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121863664","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}
Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00101
Yaming Ren
Economic dispatching problem is a classic problem in power systems. However, traditional economic dispatching problem does not consider the valve point effect. Therefore, a more accurate economic scheduling model with the valve point effect is considered in this paper. At the same time, the introduction of the valve point effect makes the objective function add a non-differentiable term, fruit fly optimization algorithm is employed to solve the newly introduced problem. Traditional fruit fly optimization algorithm does not consider the feasible interval of variables. Therefore, an improved algorithm is proposed in this paper. The simulation results show that the improved algorithm can effectively solve the power system economic dispatch problem considering the valve point effect.
{"title":"Economic Dispatch Problem of Power System Considering Valve Point Effect based on Fruit Fly Optimization Algorithm","authors":"Yaming Ren","doi":"10.1109/ICNISC57059.2022.00101","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00101","url":null,"abstract":"Economic dispatching problem is a classic problem in power systems. However, traditional economic dispatching problem does not consider the valve point effect. Therefore, a more accurate economic scheduling model with the valve point effect is considered in this paper. At the same time, the introduction of the valve point effect makes the objective function add a non-differentiable term, fruit fly optimization algorithm is employed to solve the newly introduced problem. Traditional fruit fly optimization algorithm does not consider the feasible interval of variables. Therefore, an improved algorithm is proposed in this paper. The simulation results show that the improved algorithm can effectively solve the power system economic dispatch problem considering the valve point effect.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116508728","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}
Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00019
C. Li, Yuanfei Fang, Liangjie Yu, Chaozhe Han
In autonomous driving under a vehicle-road cooperation system, a large amount of data needs to be transmitted between connected vehicles and MEC servers in a short time during lane change, which deserves high throughput and low delay of 5G communication. 5G millimeter-wave(mmWave) is an emerging communication technology with high data throughput. This paper aims to study whether 5G mmWave communication can meet the needs of advanced driving user stories. By testing the total data throughput and end-to-end delay of the vehicles, it is found that 5G mmWave communication can generally support the user story of advanced driving and provide the necessary signal coverage.
{"title":"A 5G MmWave Communication Framework in Vehicle-road Cooperative System","authors":"C. Li, Yuanfei Fang, Liangjie Yu, Chaozhe Han","doi":"10.1109/ICNISC57059.2022.00019","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00019","url":null,"abstract":"In autonomous driving under a vehicle-road cooperation system, a large amount of data needs to be transmitted between connected vehicles and MEC servers in a short time during lane change, which deserves high throughput and low delay of 5G communication. 5G millimeter-wave(mmWave) is an emerging communication technology with high data throughput. This paper aims to study whether 5G mmWave communication can meet the needs of advanced driving user stories. By testing the total data throughput and end-to-end delay of the vehicles, it is found that 5G mmWave communication can generally support the user story of advanced driving and provide the necessary signal coverage.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121394344","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}
Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00087
Weifang Zhong, T. Zhu
The An-Shi Rebellion is an important stage in both history and literature. Though the study of its impact on Du Fu's works has reached a consensus, there is little study on its impact on his psychology, let alone in-depth and comprehensive results. In this paper, we make a systematic and in-depth exploration of the changes of Du Fu's psychological characteristics before and after the An-Shi Rebellion by analyzing his prose with the big data approaches. The results show that Du Fu's psychology changed significantly before and after the An-Shi Rebellion. He became disappointed with society, devoted more of his affection to the people, and strengthened his desire to save the country and the people. Moreover, the change did not happen overnight, but over a long time period. This work provides a new case for the application of big data technology in psychology research. The findings could help people to understand Du Fu more scientifically and deeply, and to better promote cultural heritage.
{"title":"A Study of Du Fu's Psychological Changes Around the An-Shi Rebellion Based on Big Data","authors":"Weifang Zhong, T. Zhu","doi":"10.1109/ICNISC57059.2022.00087","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00087","url":null,"abstract":"The An-Shi Rebellion is an important stage in both history and literature. Though the study of its impact on Du Fu's works has reached a consensus, there is little study on its impact on his psychology, let alone in-depth and comprehensive results. In this paper, we make a systematic and in-depth exploration of the changes of Du Fu's psychological characteristics before and after the An-Shi Rebellion by analyzing his prose with the big data approaches. The results show that Du Fu's psychology changed significantly before and after the An-Shi Rebellion. He became disappointed with society, devoted more of his affection to the people, and strengthened his desire to save the country and the people. Moreover, the change did not happen overnight, but over a long time period. This work provides a new case for the application of big data technology in psychology research. The findings could help people to understand Du Fu more scientifically and deeply, and to better promote cultural heritage.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128742897","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}
Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00084
Xiaofeng Zhang, Ying Zhang, Jia Yu
In the era of big data, data is becoming an important strategic resource. The ability of data analysis and application has become the basic skills that college students should have in their study and life. It is a new task for colleges and universities to educate students' data literacy and deliver data talents to the society. For college students, discussing the necessity and main content of data education, and the basic education strategies of data literacy are put forward in a targeted manner.
{"title":"Data Literacy Education in Colleges and Universities of the Big Data Era","authors":"Xiaofeng Zhang, Ying Zhang, Jia Yu","doi":"10.1109/ICNISC57059.2022.00084","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00084","url":null,"abstract":"In the era of big data, data is becoming an important strategic resource. The ability of data analysis and application has become the basic skills that college students should have in their study and life. It is a new task for colleges and universities to educate students' data literacy and deliver data talents to the society. For college students, discussing the necessity and main content of data education, and the basic education strategies of data literacy are put forward in a targeted manner.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114939287","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}
Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00195
Lu Gao, Lianjia Zhao, Fanmiao Kong, Xiaolin Zhang
Wind power is an important source of electricity for the national grid. The unstable characteristics of wind make scheduling and decision-making problems for power companies. Therefore, it is necessary to improve the accuracy of predicted wind power. To solve this problem, this paper adopts the particle swarm optimization algorithm (PSO) to optimize the GRU neural network method, and selects the optimal combination of GRU hyperparameters through PSO to determine the most suitable network topology. The experimental experiment in this paper uses the measured power data of a wind farm in Inner Mongolia as the data set. And use root mean square error and mean absolute error as evaluation criteria. The experimental results show that the algorithm proposed in this paper achieves better experimental results in power prediction, and achieves higher prediction accuracy compared with BPNN, SVR and other models. It proves that the model can achieve good results in wind power prediction. It has practical application value.
{"title":"Research Method of Ultra-short-term Wind Power Prediction Based on PSO-GRU Prediction","authors":"Lu Gao, Lianjia Zhao, Fanmiao Kong, Xiaolin Zhang","doi":"10.1109/ICNISC57059.2022.00195","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00195","url":null,"abstract":"Wind power is an important source of electricity for the national grid. The unstable characteristics of wind make scheduling and decision-making problems for power companies. Therefore, it is necessary to improve the accuracy of predicted wind power. To solve this problem, this paper adopts the particle swarm optimization algorithm (PSO) to optimize the GRU neural network method, and selects the optimal combination of GRU hyperparameters through PSO to determine the most suitable network topology. The experimental experiment in this paper uses the measured power data of a wind farm in Inner Mongolia as the data set. And use root mean square error and mean absolute error as evaluation criteria. The experimental results show that the algorithm proposed in this paper achieves better experimental results in power prediction, and achieves higher prediction accuracy compared with BPNN, SVR and other models. It proves that the model can achieve good results in wind power prediction. It has practical application value.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133760267","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}
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