Qingxue Liu, Yanxia Sun, Xia Wang, Yan Wang, Yuqing Tian
Abstract: To improve the generation efficiency and quality of the optimal cloud manufacturing service process, a cloud manufacturing service process optimization method based on the improved artificial bee colony algorithm is proposed. A service process response architecture oriented service clusters is constructed, which reduces the searching space by clustering similar services into a same group. An improved artificial bee colony algorithm is designed to improve the quality of service composition. Experiment results show that the optimal quality of cloud manufacturing service process generated by the proposed method is better than the state-of-art service process optimization algorithms. CCS CONCEPTS •Computing methodologies •Modeling and simulation •Model development and analysis •Model verification and validation
{"title":"An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm","authors":"Qingxue Liu, Yanxia Sun, Xia Wang, Yan Wang, Yuqing Tian","doi":"10.1145/3569966.3569972","DOIUrl":"https://doi.org/10.1145/3569966.3569972","url":null,"abstract":"Abstract: To improve the generation efficiency and quality of the optimal cloud manufacturing service process, a cloud manufacturing service process optimization method based on the improved artificial bee colony algorithm is proposed. A service process response architecture oriented service clusters is constructed, which reduces the searching space by clustering similar services into a same group. An improved artificial bee colony algorithm is designed to improve the quality of service composition. Experiment results show that the optimal quality of cloud manufacturing service process generated by the proposed method is better than the state-of-art service process optimization algorithms. CCS CONCEPTS •Computing methodologies •Modeling and simulation •Model development and analysis •Model verification and validation","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"11 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":"127973471","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 process of enterprise digital transformation needs the support of large-scale and complex software system. Using swarm intelligence can realize the efficient construction of software system. However, the quality of swarm intelligence cooperation organization directly affects the efficiency and quality of software system development. Swarm intelligence oriented efficient, coordinated, sustainable and healthy evolution demand in this paper, intelligent management method based on the method of digital research groups, put forward a kind of adaptive software development method of the quality system and support the team more parallel development mode of development, the effectiveness evaluation method and evaluation indicators of swarm intelligence, and developing digital software collaborative development platform. Effectively organize efficient collaboration of large-scale swarm intelligence, deliver high-quality software products, build a growth-oriented swarm intelligence software ecosystem, and help enterprises realize digital transformation quickly.
{"title":"Design of Software Development Management Method For Swarm Intelligence Collaboration","authors":"Yang Xie, Liyuan Zheng, Dongcheng Zhang, Qian Hu","doi":"10.1145/3569966.3571170","DOIUrl":"https://doi.org/10.1145/3569966.3571170","url":null,"abstract":"The process of enterprise digital transformation needs the support of large-scale and complex software system. Using swarm intelligence can realize the efficient construction of software system. However, the quality of swarm intelligence cooperation organization directly affects the efficiency and quality of software system development. Swarm intelligence oriented efficient, coordinated, sustainable and healthy evolution demand in this paper, intelligent management method based on the method of digital research groups, put forward a kind of adaptive software development method of the quality system and support the team more parallel development mode of development, the effectiveness evaluation method and evaluation indicators of swarm intelligence, and developing digital software collaborative development platform. Effectively organize efficient collaboration of large-scale swarm intelligence, deliver high-quality software products, build a growth-oriented swarm intelligence software ecosystem, and help enterprises realize digital transformation quickly.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"19 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":"126192479","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}
DNA computing is a field combining computer science and molecular biology. The DNA coding is the core problem in DNA computing and related research fields. DNA coding research mainly involves two aspects: one is to obtain a sufficient number of DNA sequences under the premise that the coding quality has met the requirements; the other is to improve the coding quality as much as possible under the condition that the coding quantity is sufficient. This paper focuses on the study of the former. This paper improves the Simulated Annealing(SA) algorithm and combines it into a Quantum Chaos-Simulated Annealing algorithm to improve the lower bound of the DNA coding set. The experimental findings demonstrate that this algorithm’s code set outcomes are superior than those of other methods.
{"title":"Improved Simulated Annealing Based on Quantum Genetics for DNA Coding Optimization Design","authors":"Haojie Wu, Changjun Zhou","doi":"10.1145/3569966.3570078","DOIUrl":"https://doi.org/10.1145/3569966.3570078","url":null,"abstract":"DNA computing is a field combining computer science and molecular biology. The DNA coding is the core problem in DNA computing and related research fields. DNA coding research mainly involves two aspects: one is to obtain a sufficient number of DNA sequences under the premise that the coding quality has met the requirements; the other is to improve the coding quality as much as possible under the condition that the coding quantity is sufficient. This paper focuses on the study of the former. This paper improves the Simulated Annealing(SA) algorithm and combines it into a Quantum Chaos-Simulated Annealing algorithm to improve the lower bound of the DNA coding set. The experimental findings demonstrate that this algorithm’s code set outcomes are superior than those of other methods.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"1 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":"115418971","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}
White matter (WM) tract segmentation is beneficial to brain research, which provides a valuable tool for analyzing brain development and disease. The introduction of convolutional neural networks (CNNs) has greatly improved the accuracy of WM tract segmentation. However, the training of CNNs usually requires extensive manual annotations of WM tracts, which are often difficult to obtain in practical applications. Therefore, in this study, we explore two methods to realize CNN-based WM tract segmentation when there are no manual annotations of WM tracts for the target dataset and improve the segmentation accuracy. The first method generates registration-based pseudo labels for the target dataset to train the WM tract segmentation network. Specifically, we register images of the publicly available annotated dataset to images of the unlabeled target dataset and improve the binarization strategy by taking advantage of the characteristics of registration and WM tracts to generate the soft labels of WM tracts for target dataset. Moreover, we propose the other method to construct loss weighted matrix for network training using the registration information, which reduces the impact of registration error and further improves the segmentation performance. We evaluated the proposed methods with two dMRI datasets. The results show that the proposed methods are effective in improving the segmentation performance of WM tracts when the manual annotations are unavailable.
{"title":"Improved White Matter Tract Segmentation for Unannotated Dataset","authors":"Yijia Zeng, Wan Liu, Zhiwen Liu, Chuyang Ye","doi":"10.1145/3569966.3570076","DOIUrl":"https://doi.org/10.1145/3569966.3570076","url":null,"abstract":"White matter (WM) tract segmentation is beneficial to brain research, which provides a valuable tool for analyzing brain development and disease. The introduction of convolutional neural networks (CNNs) has greatly improved the accuracy of WM tract segmentation. However, the training of CNNs usually requires extensive manual annotations of WM tracts, which are often difficult to obtain in practical applications. Therefore, in this study, we explore two methods to realize CNN-based WM tract segmentation when there are no manual annotations of WM tracts for the target dataset and improve the segmentation accuracy. The first method generates registration-based pseudo labels for the target dataset to train the WM tract segmentation network. Specifically, we register images of the publicly available annotated dataset to images of the unlabeled target dataset and improve the binarization strategy by taking advantage of the characteristics of registration and WM tracts to generate the soft labels of WM tracts for target dataset. Moreover, we propose the other method to construct loss weighted matrix for network training using the registration information, which reduces the impact of registration error and further improves the segmentation performance. We evaluated the proposed methods with two dMRI datasets. The results show that the proposed methods are effective in improving the segmentation performance of WM tracts when the manual annotations are unavailable.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"73 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":"114878130","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}
Nowadays, China's information technology is constantly developing and healthcare smart manufacturing is being rapidly promoted in China. This paper focuses on the development and application of RFID systems and briefly describes the basic theory of RFID. At the same time, this paper presents a systematic study of the current situation of RFID technology in healthcare smart manufacturing and proposes an architecture for RFID TECHNOLOGY in healthcare smart manufacturing. Based on this, this paper presents the future directions and implementation methods of RFID TECHNOLOGY in healthcare smart manufacturing in terms of basic development aspects, development limitations and future development. This is the concept, the solution and the selection of relevant technologies and research methods to realise the interactive sharing of medical information.
{"title":"Research on the Application of RFID Technology in Medical Smart Manufacturing","authors":"Zhiwen Xiong, Qiukun Li, Ziling Feng, Sini Tan","doi":"10.1145/3569966.3569980","DOIUrl":"https://doi.org/10.1145/3569966.3569980","url":null,"abstract":"Nowadays, China's information technology is constantly developing and healthcare smart manufacturing is being rapidly promoted in China. This paper focuses on the development and application of RFID systems and briefly describes the basic theory of RFID. At the same time, this paper presents a systematic study of the current situation of RFID technology in healthcare smart manufacturing and proposes an architecture for RFID TECHNOLOGY in healthcare smart manufacturing. Based on this, this paper presents the future directions and implementation methods of RFID TECHNOLOGY in healthcare smart manufacturing in terms of basic development aspects, development limitations and future development. This is the concept, the solution and the selection of relevant technologies and research methods to realise the interactive sharing of medical information.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"32 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":"129478327","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}
Schools are the key units for infectious disease prevention and control. Students are the key groups in prevention and control of infectious diseases. The establishment of links between schools and out campus hospitals is an important measure for epidemic prevention and control of Corona Virus Disease 2019 (COVID-19). How to use reasonable human resources, financial resources and material resources to make rational decisions and respond quickly to the best cost performance is the practical problem facing all schools. Therefore, the accessibility of Wuhan medical services to schools is analyzed through GIS, and the resilience of hospitals is analyzed by simulating short-term heavy rainfall weather. The results show that large hospitals in Wuhan are mostly concentrated in the city center, which can effectively resist the impact of sudden epidemic and disperse the risk to the periphery of the city. The buffer zone of large hospitals in Wuhan can effectively cover most schools and can respond quickly, but some hospitals have low accessibility in extreme weather. It is necessary to further improve the distribution of medical resources in various regions and improve emergency transportation planning.
{"title":"Analysis on the accessibility of urban rescue in extreme weather","authors":"T. Huang, Luming Zhang, Zelin Liu, Zishao Li","doi":"10.1145/3569966.3571168","DOIUrl":"https://doi.org/10.1145/3569966.3571168","url":null,"abstract":"Schools are the key units for infectious disease prevention and control. Students are the key groups in prevention and control of infectious diseases. The establishment of links between schools and out campus hospitals is an important measure for epidemic prevention and control of Corona Virus Disease 2019 (COVID-19). How to use reasonable human resources, financial resources and material resources to make rational decisions and respond quickly to the best cost performance is the practical problem facing all schools. Therefore, the accessibility of Wuhan medical services to schools is analyzed through GIS, and the resilience of hospitals is analyzed by simulating short-term heavy rainfall weather. The results show that large hospitals in Wuhan are mostly concentrated in the city center, which can effectively resist the impact of sudden epidemic and disperse the risk to the periphery of the city. The buffer zone of large hospitals in Wuhan can effectively cover most schools and can respond quickly, but some hospitals have low accessibility in extreme weather. It is necessary to further improve the distribution of medical resources in various regions and improve emergency transportation planning.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","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":"131067066","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}
From daily online payments to large financing transactions, online financial services make business behaviour convenient and fast. At the same time, attackers can use many means to damage this system. The Society for Worldwide Interbank Financial Telecommunications (SWIFT) system sets up a series of message standards to regulate the communication message format between all users, which greatly improves the business efficiency. Hackers with financial knowledge can get more familiar with SWIFT messages and make the traditional cyber-attacks more targeted or develop more threatening trojan viruses. This paper focuses on studying the cyber-attacks on SWIFT systems. The paper presents three different attacks and discuss how each attack can damage SWIFT users and profit the hackers.
{"title":"Cyber-attacks on SWIFT Systems of financial institutions","authors":"Minchuan Qin, G. Mogos","doi":"10.1145/3569966.3570116","DOIUrl":"https://doi.org/10.1145/3569966.3570116","url":null,"abstract":"From daily online payments to large financing transactions, online financial services make business behaviour convenient and fast. At the same time, attackers can use many means to damage this system. The Society for Worldwide Interbank Financial Telecommunications (SWIFT) system sets up a series of message standards to regulate the communication message format between all users, which greatly improves the business efficiency. Hackers with financial knowledge can get more familiar with SWIFT messages and make the traditional cyber-attacks more targeted or develop more threatening trojan viruses. This paper focuses on studying the cyber-attacks on SWIFT systems. The paper presents three different attacks and discuss how each attack can damage SWIFT users and profit the hackers.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"1 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":"122087522","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}
In order to better preserve the salient targets and detail information of the infrared and visible images, a novel image fusion method based on log-domain decomposition and information interaction is proposed in this paper. Specifically, the infrared and visible images are first transformed into the logarithmic domain for a two-scale decomposition, which helps to extract more high-contrast information compared to decomposing them directly in image space. A visual saliency strategy is then used to fuse the base layer images. As to detail layers, a combined local visual saliency and detail preservation strategy is proposed to determine the final fusion weights. In addition, it is worth noting that the visible image information is introduced into the infrared detail layer before fusion, which achieves the information complementation and interaction of two source images. The experiment results demonstrate that the proposed method outperforms other fusion methods in both qualitative and quantitative assessments.
{"title":"Infrared and Visible Image Fusion based on Log-domain Decomposition and Information Interaction","authors":"Erfang Fei, Zhiqiang Zhou, Rao Yang, Lingjuan Miao","doi":"10.1145/3569966.3570047","DOIUrl":"https://doi.org/10.1145/3569966.3570047","url":null,"abstract":"In order to better preserve the salient targets and detail information of the infrared and visible images, a novel image fusion method based on log-domain decomposition and information interaction is proposed in this paper. Specifically, the infrared and visible images are first transformed into the logarithmic domain for a two-scale decomposition, which helps to extract more high-contrast information compared to decomposing them directly in image space. A visual saliency strategy is then used to fuse the base layer images. As to detail layers, a combined local visual saliency and detail preservation strategy is proposed to determine the final fusion weights. In addition, it is worth noting that the visible image information is introduced into the infrared detail layer before fusion, which achieves the information complementation and interaction of two source images. The experiment results demonstrate that the proposed method outperforms other fusion methods in both qualitative and quantitative assessments.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"13 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":"122603504","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 causality of servitization success remains debatable, this study's primary objective is to explore whether, how, and when the dynamic capabilities affect servitization under digital economy background. This study also incorporated institutional theory, firm lifecycle theory, and environmental uncertainty as the contingency factors in the research framework. The fuzzy set qualitative comparative analysis (fsQCA) is applied based on the data from 148 China-listed manufacturing firms that involved servitization from 2015 to 2020. The configurational solutions drawn by fsQCA indicate each factor could be an enabler for servitization success, despite none of one factor as the necessary condition.
{"title":"Different Paths to Servitization Success: Evidence from Listed Manufacturing Firms in China","authors":"Junheng Zhan, Ziyan Zhang, Shunhu Zhang","doi":"10.1145/3569966.3571174","DOIUrl":"https://doi.org/10.1145/3569966.3571174","url":null,"abstract":"The causality of servitization success remains debatable, this study's primary objective is to explore whether, how, and when the dynamic capabilities affect servitization under digital economy background. This study also incorporated institutional theory, firm lifecycle theory, and environmental uncertainty as the contingency factors in the research framework. The fuzzy set qualitative comparative analysis (fsQCA) is applied based on the data from 148 China-listed manufacturing firms that involved servitization from 2015 to 2020. The configurational solutions drawn by fsQCA indicate each factor could be an enabler for servitization success, despite none of one factor as the necessary condition.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"342 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":"122752249","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}
In recent years, the metro passenger flow in big cities has been increasing, and some lines are often crowded and delayed, which brings great pressure to the metro operation and management department. Therefore, it is urgent to build a scientific and effective mathematical model, which can help the metro operation and management department to formulate a reasonable train scheduling plan. This paper provides a new algorithm called APSO. APSO is used to optimize the BP neural network, namely APSO-BP algorithm. Experiments show that APSO-BP has high accuracy for metro passenger flow prediction.
{"title":"Metro Passenger Flow Prediction Based on Optimized BP Neural Network Algorithm","authors":"Fei Xu, Song Gao","doi":"10.1145/3569966.3569995","DOIUrl":"https://doi.org/10.1145/3569966.3569995","url":null,"abstract":"In recent years, the metro passenger flow in big cities has been increasing, and some lines are often crowded and delayed, which brings great pressure to the metro operation and management department. Therefore, it is urgent to build a scientific and effective mathematical model, which can help the metro operation and management department to formulate a reasonable train scheduling plan. This paper provides a new algorithm called APSO. APSO is used to optimize the BP neural network, namely APSO-BP algorithm. Experiments show that APSO-BP has high accuracy for metro passenger flow prediction.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"443 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":"123383803","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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