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2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)最新文献

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ICSESS 2022 Cover Page ICSESS 2022封面
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/icsess54813.2022.9930272
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引用次数: 0
Collaborative Filtering Based on Improved Fuzzy C-means Algorithm 基于改进模糊c均值算法的协同过滤
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930159
Xiu Guan, Yan Jiang
{"title":"Collaborative Filtering Based on Improved Fuzzy C-means Algorithm","authors":"Xiu Guan, Yan Jiang","doi":"10.1109/ICSESS54813.2022.9930159","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930159","url":null,"abstract":"This paper studies algorithms for recommending suitable companies for college graduates. Firstly, the SimRank algorithm is used to calculate the students’ similarity matrix.Secondly the students are initially clustered using canopy, the cluster center is retained, and the final clustering result is obtained by fuzzy c-means algorith(FCM). Finally the results are sorted to obtain the final recommendation result. Through the comparative experiment, the algorithm route proposed in this paper is compared with the following four situations:Use the unimproved SimRank algorithm, and other technical routes remain unchanged.Use the improved SimRank algorithm, and use the Canopy algorithm alone.Use the improved SimRank algorithm, and ues the fuzzy c-means algorithm alone. Use the improved SimRank algorithm, use the k-means clustering algorithm alone. In the end, it was found that the algorithmic route proposed in this paper has better accuracy and recommended recall index. In the end, it was found that the algorithmic route proposed in this paper has better accuracy and recommended recall index.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126590225","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}
引用次数: 0
Real-time Image Stabilization Method Based on Low Altitude Fixed Wing UAV 基于低空固定翼无人机的实时稳像方法
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930217
Jiangtao Li, Yu Yang, J. Li, H. Xu
{"title":"Real-time Image Stabilization Method Based on Low Altitude Fixed Wing UAV","authors":"Jiangtao Li, Yu Yang, J. Li, H. Xu","doi":"10.1109/ICSESS54813.2022.9930217","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930217","url":null,"abstract":"The existing electronic image stabilization techniques are mainly based on feature point matching, which is difficult to solve the problem that the low altitude fixed wing UAV Using strapdown camera platform collects fewer image feature points. To solve this problem, a real-time image stabilization method based on attitude angle information is proposed in this paper. Firstly, the attitude angle information collected by IMU and the image information collected by visual sensors are aligned in real time. Then, the attitude angles of pitch, roll and yaw are filtered differently, and the corresponding basic matrix is calculated according to the processed angular information. Finally, affine transformation is used to stabilize the original image sequence, and a smooth image sequence is obtained. The experimental results show that the peak-signal-to-noise ratio of the image sequence after image stabilization is increased by more than 5%. The algorithm is suitable for low altitude fixed wing UAV platform. For images with less feature point information, it can also eliminate jitters. At the same time, it has strong robustness to large maneuvers of aircraft.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127454367","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}
引用次数: 1
A V2X Reputation System with Privacy Considerations 考虑隐私因素的V2X信誉系统
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930178
P. Michalopoulos, James Meijers, Srisht Fateh Singh, A. Veneris
{"title":"A V2X Reputation System with Privacy Considerations","authors":"P. Michalopoulos, James Meijers, Srisht Fateh Singh, A. Veneris","doi":"10.1109/ICSESS54813.2022.9930178","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930178","url":null,"abstract":"Inter-vehicle communications can enable a wide array of novel applications that improve transportation safety and efficiency. However, due to the adversarial environment in which vehicles may operate, it is important to ensure information integrity. To achieve this, we present a blockchain-based reputation mechanism that allows participants to assess the trustworthiness of the received data based on the existing reputation score of the sender. After each data exchange, the receiver rates the sender by uploading an evaluation to the blockchain. To ensure that no tracking of the participants is possible, despite the open nature of the blockchain, we propose an address rotation scheme based on Zero Knowledge Proofs. Vehicles have the capability to change their blockchain address at regular intervals, while at the same time keeping their reputation score. Finally, we conduct experiments and simulations to evaluate our proposed system. The obtained results show that information integrity is ensured even in the presence of large number of adversaries and that privacy protection can be achieved at a reasonable cost.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129115512","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}
引用次数: 1
A Lightweight Online Interactive Assessment Platform for SQL Teaching 面向SQL教学的轻量级在线交互式评估平台
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930246
J. Huo
{"title":"A Lightweight Online Interactive Assessment Platform for SQL Teaching","authors":"J. Huo","doi":"10.1109/ICSESS54813.2022.9930246","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930246","url":null,"abstract":"Practical SQL exercises are important for database course learning and teaching. However, lots of existing database online SQL test platform requires complex environmental construction and can not work across platform. Backend database software running requires high level hardware configuration for large number of concurrencies from students during online test or examination. Light-weight, flexible and open-sourced database SQL exercise and assessment platform with pedagogical features for teaching is rare. This paper thus makes use of the recent frontend database technology to develop an open-sourced SQL assessment platform which is based on JavaScript engine and Node.js server for teaching and scoring of SQL programming skills. With this platform, the student can view the query results immediately after SQL execution and teachers can also collect exercisers’ information at the backend server. Browser fingerprint technique is also used to detect the plagiarism and cheating behaviour.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134561015","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}
引用次数: 0
A Deep Residual Network for Recognizing Transportation Vehicles using Smartphone Sensors 基于智能手机传感器的交通车辆识别深度残差网络
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930314
Narit Hnoohom, Nagorn Maitrichit, S. Mekruksavanich, A. Jitpattanakul
{"title":"A Deep Residual Network for Recognizing Transportation Vehicles using Smartphone Sensors","authors":"Narit Hnoohom, Nagorn Maitrichit, S. Mekruksavanich, A. Jitpattanakul","doi":"10.1109/ICSESS54813.2022.9930314","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930314","url":null,"abstract":"The development of sensor technology has enabled the development of a variety of applications for human activity detection by wearable devices. Identifying transportation modes for contextual support in the execution of systems such as driver assistance and intelligent transportation planning is one of the advantageous applications of an intelligent transportation system (ITS). Due to the widespread use of smartphones in today’s world, a mobile application-based solution is proposed that can significantly reduce the cost of implementing ITS. In this work, we recognized transportation vehicles using the accelerometer and gyroscope data collected by smartphones. To achieve the research goal, this work developed a deep residual network called DeepResNeXt that used convolutional kernels and residual connections for transportation vehicle recognition. We used a public benchmark dataset to evaluate the proposed deep residual network. Experimental results showed that DeepResNeXt was achieved better accuracy and F1-score than previous works. In addition, this work also investigated the effect of sensor types on recognition performance. The results showed that the deep residual network trained with accelerometers achieved higher accuracy and F1-score than the network trained with gyroscope data.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116971093","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}
引用次数: 1
Intelligent Decision Making for Air Defense Operations and Development Idea 防空作战智能决策与发展思路
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930261
Qing Cai, Minghao Liu
{"title":"Intelligent Decision Making for Air Defense Operations and Development Idea","authors":"Qing Cai, Minghao Liu","doi":"10.1109/ICSESS54813.2022.9930261","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930261","url":null,"abstract":"With the in-depth and comprehensive development of the concept of intelligent operation, air defense operation, as a typical operation mode, has the characteristics of strong real-time, high confrontation and short-term and long-term, which brings great difficulties to decision-making. Based on the characteristics and difficulties of air defense operational decision-making, this paper analyzes the key problems and corresponding methods of air defense operational intelligent decision-making, puts forward the technical framework of intelligent decision-making, plans the evolution route, and gives development suggestions.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114299109","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}
引用次数: 0
Market Style Discrimination via Ensemble Learning 基于集成学习的市场风格识别
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930158
Pangjing Wu, Xiaodong Li
{"title":"Market Style Discrimination via Ensemble Learning","authors":"Pangjing Wu, Xiaodong Li","doi":"10.1109/ICSESS54813.2022.9930158","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930158","url":null,"abstract":"Market styles represent patterns of stock trends in a period. Investors can discriminate and leverage current market styles to improve their stock price forecasts and make more profits. However, existing studies only discriminate the market styles by features’ scale values, which exists two deficiencies. One is ineffective features and the other one is weak connections between the market styles and classifiers. Inspired by the multiple-factor model in quantitative finance and the Gini index in ensemble learning, we propose a novel approach that discriminates the market styles by features’ contribution to stock trend forecasts, which strongly bridges the discrimination of the market styles and the properties of classifiers. Experimental results of 12 stocks on the Hong Kong Exchange demonstrate that our method outperforms baselines in terms of F1 score over most stocks. Our source code is available at: github.com/Pangjing-Wu/FC-MSD.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125254903","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}
引用次数: 0
Design and Practice of DevOps Platform via Cloud Native Technology 基于云原生技术的DevOps平台设计与实践
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930226
Tao Chen, Haiyan Suo
{"title":"Design and Practice of DevOps Platform via Cloud Native Technology","authors":"Tao Chen, Haiyan Suo","doi":"10.1109/ICSESS54813.2022.9930226","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930226","url":null,"abstract":"With the rapid development of information technology, software version iteration and delivery are becoming more and more frequent, which brings great challenges to software operation and maintenance. Devops (development and operations) proposed to solve this problem has been paid attention to and used by more and more enterprises via promoting the collaborative work mode of development, operation and maintenance and QA. In order to achieve the goal of Devops operation and maintenance automation, a series of operation and maintenance tools have been developed, such as gitlab code management, Jenkins pipeline technology, docker container technology, kubernetes container orchestration technology, harbor image warehouse, etc. These tools work together to form the Devops platform, which provides the ability of continuous integration, continuous delivery and continuous deployment [1]. Based on cloud native technology, an integrated operation and maintenance platform was designed and applied in enterprise operation, which improves the efficiency of research and development.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127282498","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}
引用次数: 1
XGBoost-Based Risk Assessment Model for Hazardous Chemical Company 基于xgboost的危化品企业风险评估模型
2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930260
Lianhai Lin, Weisi Guo, Zhiping Weng, Liqin Tian
{"title":"XGBoost-Based Risk Assessment Model for Hazardous Chemical Company","authors":"Lianhai Lin, Weisi Guo, Zhiping Weng, Liqin Tian","doi":"10.1109/ICSESS54813.2022.9930260","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930260","url":null,"abstract":"In order to improve the risk identification ability and the accident prevention ability of hazardous chemical companies, a XGBoost-based risk assessment model was proposed. Model training was conducted with the data of 31,827 hazardous chemical companies in China in June 2022, verified with the data of these companies in July 2022. The accuracy of the XGBoost-based risk assessment model is over 90 percent, and the recall rate is around 80 percent.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127614513","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}
引用次数: 0
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