Proceedings of the 2022 4th International Conference on Software Engineering and Development最新文献

{"title":"Design and implementation of laboratory management system based on PowerBuilder","authors":"Yuan Zhang, Yulong Zhao, HaiYan Liu, Yan Wang","doi":"10.1145/3582084.3582094","DOIUrl":"https://doi.org/10.1145/3582084.3582094","url":null,"abstract":"Aiming at the privacy and efficiency requirements of laboratory management in colleges and universities, this paper designs and implements a safe and reliable laboratory management system based on PowerBuilder. First, after completing the analysis of the system function and performance, based on the Unified Modeling Language (UML), the role relationships and domain class relationships such as administrators and teachers are modeled. Secondly, according to the actual construction requirements of the laboratory management system, the functional modules of the system are constructed from five aspects: user login management, data maintenance management, laboratory management, experiment management and system management. Finally, based on PowerBuilder and SQL Server, the call and connection of user interface and background database are realized, and the design effect of each functional module is shown. The design system can meet the daily work and maintenance of the laboratory.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121846291","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 Intellectualization of Cost Management System of Power Transmission and Transformation Project","authors":"Xiaoli Chen, Chen Chen, Fenqian Wu, Jiawei Lin, Mengzhe Liu","doi":"10.1145/3582084.3582086","DOIUrl":"https://doi.org/10.1145/3582084.3582086","url":null,"abstract":"With the reform of China's power system, power has become a pillar industry of China's national economy, which needs to improve the competitiveness of the power industry. However, in the actual power engineering, the cost management of power transmission and transformation project (hereinafter referred to as PTATP) runs through the whole process of project construction, involving the processes of feasibility study, design, construction, change, completion and final accounts, which is a systematic problem. With the application of intelligent technology, collaborative office, BIM, smart site and big data have been applied to project management and cost management, which has been fully introduced into the digital and intelligent era. Therefore, the construction of PTATP cost management system has become the trend in the future. Through the cost management system of PTATP, we can collect, store, calculate and optimize the cost of PTATP life cycle, which can predict and warn the project cost. Therefore, this paper first analyses the application technology and construction principles of the cost management system for power transmission and transformation projects, as well as the main problems existing in the current cost management model. Then, some prediction methods, standardised data elements, validation data and integration data are analysed for the retrieved key cost data to realise the management of key cost data before the cost data collection template for transmission and substation projects, and effectively improve the key cost data matching ratio in the data collection template. Finally, this paper constructs and analyses the intelligent research results of the system, and introduces how to build a professional intelligent application platform for cost management in terms of platform architecture, technical route selection, application architecture design and data integration design. It is hoped to provide a more systematic and professional solution for the pricing management of power transmission and transformation projects.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121853621","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":"Propensity-Dependent Model for Unbiased Learning-to-Rank","authors":"Haochen Zhang, Ziqing Wu, Zhuoran Peng, Tiancheng Luo, Xianna Weng","doi":"10.1145/3582084.3582085","DOIUrl":"https://doi.org/10.1145/3582084.3582085","url":null,"abstract":"Most present unbiased learning-to-rank models are based on the trust bias assumption to learn a ranking policy by Inverse Propensity Scoring (IPS). The trust bias assumption improves the unrealistic noise-free assumption in the Position-Based model, but it assumes that the propensities are independent. In this paper, we improve this assumption and consider that the propensities of different positions are relevant. In particular, we model the relationship between different propensities as a Propensity-Dependent model and use both IPS estimator and the Doubly Robust estimator to learn the optimal ranking policy. Finally, we generate the dataset in a simulated study and then evaluate the model's performance.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130387646","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":"Node Localization in Range-Free 3D-WSNs Using New DV-Hop Algorithm Based Machine Learning Techniques","authors":"Oumaima Liouane, S. Femmam, T. Bakir, A. B. Abdelali","doi":"10.1145/3582084.3582089","DOIUrl":"https://doi.org/10.1145/3582084.3582089","url":null,"abstract":"In many Wireless Sensor Network (WSN) applications, location is critical. Another intriguing aspect of the acquired data is the ability to obtain exact information about sensors' locations. In order to localize multi-hop WSNs, based connectivity algorithms use their benefits, such as simplicity and acceptable accuracy, to do so. However, the localization accuracy may be limited due to the two- or three-dimensional environment (2D or 3D). Range-Free 3D-WSNs can benefit from an analytic model for hop-size quantization and an Extreme Learning Machine (ELM) method for localization to reduce localization errors. The additional third dimension greatly affects the accuracy of localization. Since many applications require 3D localization, it is important to develop efficient self-localization algorithms for 3D WSNs. In this paper, for a uniform distribution of sensor nodes, a new probabilistic quantization of hop size in 3D WSNs is proposed. Moreover, the extreme learning machine (ELM) which represents a new approach to WSN localization is exploited combining a conventional method (probabilistic approach) with a non-conventional method (Machine Learning). For a variety of conditions, our algorithms have been tested through simulation in isotropic settings. The performance of the localization model was assessed using the average localization error (LE). When compared to previous 3D-DV-Hop heuristics, the suggested localization algorithm's performance in terms of accuracy is clearly demonstrated by simulation data. With the help of the predicted hop quantization for hop-size estimation and the ELM was used for position estimation, our localization method for 3D-WSNs lowers the average localization error of nodes and has a greater location accuracy compared to its rivals.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"30 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114117147","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":"Analysis of BIM and GIS Fusion Technology in Railway Information Construction","authors":"Xiaogang Wang","doi":"10.1145/3582084.3582088","DOIUrl":"https://doi.org/10.1145/3582084.3582088","url":null,"abstract":"The data visualization software system based on BIM data mining has high application value and prospect. This paper mainly studies the application of BIM and GIS fusion technology in railway information construction. This paper firstly introduces the background, relevant literature and related research work, and analyzes the research background of the application of BIM and GIS integration in railway information construction. The concept and related overview of BIM and GIS are described, and the specific application of BIM and GIS integration technology in railway information construction is listed. This paper constructs the railway information relation system which integrates BIM and GIS and analyzes the application of the system.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116501913","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":"Digital Intellectual Property Protection System Based on Artificial Intelligence Algorithm","authors":"Xuan Wang","doi":"10.1145/3582084.3582096","DOIUrl":"https://doi.org/10.1145/3582084.3582096","url":null,"abstract":"At present, digital intellectual property protection system is generally designed by combining manual management with central organization. In this mode, the system is easily subjected to various attacks, leading to system intrusion or failure. In order to solve the existing research of digital intellectual property protection system based on artificial intelligence technology, digital watermark attack means, users of the system requirements analysis and the depth of the neural network is discussed, on the basis of against based on artificial intelligence algorithm proposed in this paper the development environment of digital intellectual property protection system and benchmark data set were described simply. Furthermore, the system architecture is designed and discussed. Finally, the digital intellectual property protection system integrated with deep neural network is analyzed experimentally. The experimental data show that the deep neural network technology based on artificial intelligence algorithm can protect against property rights attacks, and the accuracy of digital watermarking and digital signature against four types of attacks is about 85% and 98% on average, respectively. Therefore, it is verified that the AI-based algorithm has a good defense effect on the protection of digital intellectual property rights.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"71 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128101752","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":"Implement Deep Learning Networks with Transfer Learning to Develop Energy-friendly Applications Supporting Sustainability on Image-based Plant Disease Classification","authors":"Yihang Hu, Zhuoran Wang, Li Zhu, Wenyu Zhang","doi":"10.1145/3582084.3582095","DOIUrl":"https://doi.org/10.1145/3582084.3582095","url":null,"abstract":"Food security is always one of the most important factors in human lives, and crop diseases are one of the major threats which may bring potential damage. Nowadays, with the proliferation of smartphones and the advancement of machine learning methods, it is more likely to achieve rapid identification of disease diagnosis by a smartphone-assisted application supported by deep learning trained models. By comparing different datasets and different kinds of CNN frameworks, this paper trained deep convolutional neural networks based on plant leaves’ images to identify species and detect diseases. Furthermore, this paper found the best combination of different datasets with the highest accuracy. The highest accuracy this work got is 97.37%, using ResNet-9 along with Transfer Learning. Nevertheless, these training datasets are too straightforward to deal with the more complex real-world situation. Besides, two-dimensional datasets from time to time have such limited information; therefore, more information is needed to diagnose plants’ diseases. For future extension, this work can apply not only image datasets but also environmental factors, such as soil structure and image background, to construct a more precise model to diagnose plant diseases. Hence, the concept of Point Cloud will be discussed in this paper. This work can be viewed as the first step to build an Energy-friendly plant disease classification application supporting sustainability.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130624338","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":"Integrated Mobile Command Platform for UAV Operation, Inspection and Dispatching","authors":"Yonglong Ma, Binghua Fang, Mingjie Xiao, Xiaocong Wang","doi":"10.1145/3582084.3582090","DOIUrl":"https://doi.org/10.1145/3582084.3582090","url":null,"abstract":"In order to effectively solve the problems of poor infrastructure in remote areas and high human distribution cost in developed areas, the design of integrated UAV network for urban and rural logistics and the scheduling method of UAV onboard platform are proposed.Considering the situation that self-run logistics stocks goods in advance according to the forecast of demand, in this essay, under the distribution situation of dispersed customer demand and frequent demand fluctuation over time, the uncertain demand of customers is described by polyhedron set, and the two-stage robust optimization model of plane-carrying platform scheduling is established, and the L-type algorithm is designed to solve the problem.The experimental results show that when, the target value obtained by the robust optimization method is close to that of the stochastic programming, and the scheduling path obtained by the two methods in the first stage is basically the same, except for the difference in the determination of the service relationship in the second stage.When the budget level was increased from 0.0 to 0.2, the number of on-board platforms used remained at 8, while the penalty cost and unmet requirements decreased.Conclusion: The efficiency of robust optimization is better than that of stochastic programming, and the decision economy is greatly improved by relaxing the model robustness appropriately.In the face of uncertain demand, the system will first adjust the scheduling path of the on-board platform, and then consider increasing the number of on-board platforms. The scheduling scheme shows a rule of gradual adjustment.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130799449","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":"Automatic Evaluation System of Aerobics based on Action Recognition Algorithm","authors":"Ling Xiong","doi":"10.1145/3582084.3582091","DOIUrl":"https://doi.org/10.1145/3582084.3582091","url":null,"abstract":"This paper analyzes the AES of aerobics based on action recognition algorithm(ARA). This paper analyzes the difficult problem of human motion recognition, and on this basis, discusses the ARA and the automatic evaluation system(AES) of aerobics. The ARA is applied to the design of the AES of aerobics. Finally, through the visualization experiment of the key posture extraction of the movement sequence, the AES of aerobics based on the ARA in this paper is compared with the traditional evaluation system. The test results show that, compared with the traditional evaluation system, The automatic recognition system in this paper has improved the recognition accuracy of each kind of aerobics action(AA), which proves the effectiveness of the AES based on ARA discussed in this paper to improve the recognition accuracy.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"13 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123668117","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 Water Transportation Intelligent Information Service System Based on Big Data and Its key Technologies","authors":"Ming Huang, Wu-Gang Wang, Yuping Wang","doi":"10.1145/3582084.3582097","DOIUrl":"https://doi.org/10.1145/3582084.3582097","url":null,"abstract":"The gradual maturity of Internet technology has made a great contribution to the progress of big data technology. On this basis, the theory of information application of water transportation has also been put forward by experts. The purpose of this paper is to use the information application of computer to build the service system of water transportation. On this basis, some cutting-edge key technologies are put forward. The analysis structure adopted in this paper includes the combination of method theory and specific application. According to the relevant analysis, the final result of this paper shows that the construction of water transportation information service system under the big data environment is feasible. Moreover, the key technologies derived from the information-based service platform include automatic tracking system, satellite positioning system, label recognition system and so on.","PeriodicalId":177325,"journal":{"name":"Proceedings of the 2022 4th International Conference on Software Engineering and Development","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126279068","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}