2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)最新文献

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Automated Reasoning towards Quantitative Security Assurance 面向定量安全保证的自动推理
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040823
Zhengshu Zhou, Qiang Zhi, Shuichiro Yamamoto, Zilong Liang
{"title":"Automated Reasoning towards Quantitative Security Assurance","authors":"Zhengshu Zhou, Qiang Zhi, Shuichiro Yamamoto, Zilong Liang","doi":"10.1109/ICSESS47205.2019.9040823","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040823","url":null,"abstract":"System security assurance has become one of the most important research directions in software engineering and requirement engineering. To date, a lot of approaches have been proposed to conduct system security assurance. However, in these existing approaches, the constraint conditions of security assurance are rarely mentioned. In software engineering domain, constraint is a critical factor that can affect the success or failure of the engineering project, and thus the practicability of these approaches may be called in question. In order to resolve this problem, this paper proposes a new security assurance method that allows engineers to give consideration to both contribution attributes and cost attributes for security objectives during system architecture design process. In addition, a recursive algorithm is proposed and implemented to realize automated reasoning for developing security assurance cases.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132062239","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
Modeling Language Design and Mapping Rules for REST Interface REST接口的建模语言设计和映射规则
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040766
Guo Jia-di, Wang Zhi–li
{"title":"Modeling Language Design and Mapping Rules for REST Interface","authors":"Guo Jia-di, Wang Zhi–li","doi":"10.1109/ICSESS47205.2019.9040766","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040766","url":null,"abstract":"In the process of software development, the codes for accessing the database have great similarity, and they involve multiple layers, such as the persistent layer, business logic layer, and controller layer. Developers always have to spend a lot of time to create and maintain those codes. In this paper, a modeling language and the mapping rules for REST interfaces are designed, including basic data access services, associative queries, fuzzy queries, and batch operations. Developers can design REST interfaces using the proposed language, and then the design can be parsed according to the mapping rules. The parsing result, together with the UML’s parsing result of database modeling, will be used as input to generate YAML files that guide the automatic codes generation for the SSM framework. Finally, the REST interface document and its codes will be generated. Developers can develop REST and SSM based applications quickly and efficiently with the help of our work.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131404672","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
Design and Implementation of Vehicle Safety Robot Based on Computer Vision 基于计算机视觉的车辆安全机器人设计与实现
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040732
Yuankai Ma, Xubo Liu, Jiahang Bao, C. Liu, Zhitao Dai
{"title":"Design and Implementation of Vehicle Safety Robot Based on Computer Vision","authors":"Yuankai Ma, Xubo Liu, Jiahang Bao, C. Liu, Zhitao Dai","doi":"10.1109/ICSESS47205.2019.9040732","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040732","url":null,"abstract":"This paper designs and implements a vehicle safety robot based on machine vision. When a car breaks down on the highway, the robot can automatically drive to the designated location, place a warning triangle, monitor the coming vehicles, and give the driver an alarm when necessary. The robot can automatically drive back when ordered. The robot uses Lane Detection Algorithm based on OpenCV to detect road line and adjust its driving gesture dynamically, an Optical Flow Alarming Algorithm is implemented to monitor the coming vehicle, and the communication is implemented through a 2.4 GHz module. Through experiments, we measure the TPR (true positive rate) of the Lane Detection Algorithm, we also test the end-to-end computing time of the system and test the stability of the communication of the system. The analysis shows that the design and implementation of the system can meet the requirement of the highway scenario.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122217381","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
An Improved Spatial Data Structure for Web-based Large-scale 3D Scene 基于web的大规模三维场景空间数据结构的改进
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040768
Jiaxi Chen, Wei Fang
{"title":"An Improved Spatial Data Structure for Web-based Large-scale 3D Scene","authors":"Jiaxi Chen, Wei Fang","doi":"10.1109/ICSESS47205.2019.9040768","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040768","url":null,"abstract":"In order to meet the requirements of large-scale 3D scene transmission, parsing and real-time visualization in the Web environment, a kind of data structure is proposed in this paper, which specifies the logical structure and physical storage format of the 3D spatial data, and can effectively divide and index the 3D scene. Meanwhile, based on the existing spatial index technology, we propose a hybrid index structure R* O-tree which combines the R* -tree and the octree to improve the performance. The experimental results show that the proposed data structure can save about 60%-80% disk space, and the improved index structure is more efficient. Our method is more advantageous than the traditional three-dimensional spatial data structure.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124387488","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
Temperature and E-field Model Simulation of Transformer Outlet Based on Computer-based Design 基于计算机设计的变压器出口温度及电场模型仿真
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040776
Z. Shiling
{"title":"Temperature and E-field Model Simulation of Transformer Outlet Based on Computer-based Design","authors":"Z. Shiling","doi":"10.1109/ICSESS47205.2019.9040776","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040776","url":null,"abstract":"This paper proposed an iterative calculation method of steady-state E-field and thermal simulation of transformer outlet based on the ANSYS specific language called APDL. The joule heating of insulation medium can be considered in temperature field simulation, and the temperature and E-field strength factors can be both considered in the E-field simulation. The research shows: the proposed iterative algorithm has good convergence, and suitable for the large and multi medium insulation structure with complex topology. Based on the traditional calculation method of DC electric field, the auxiliary calculation method is provided for the insulation structure design and performance verification of transformer outlet.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124897739","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
Modification of Initialization Vector for Parallel CMAC Algorithm 并行CMAC算法初始化向量的修改
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040745
S. J. H. Pirzada, A. Murtaza, Muhammad Shahid, Tongge Xu, L. Jianwei
{"title":"Modification of Initialization Vector for Parallel CMAC Algorithm","authors":"S. J. H. Pirzada, A. Murtaza, Muhammad Shahid, Tongge Xu, L. Jianwei","doi":"10.1109/ICSESS47205.2019.9040745","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040745","url":null,"abstract":"The growing number of threats and attacks on communication systems has encouraged researchers to identify methods for providing security for data communication. Besides the encryption and authentication algorithms provide data security services for communication systems. However, the recent attacks on communication systems reveal that the attacks utilize the analysis of plaintext/ciphertext to breach the security of communication systems. Therefore, the plaintext should be randomized to prevent correlation between ciphertext. In this work, an algorithm is proposed for increasing ciphertext randomness in Parallel Cipher-based Message Authentication Code (PCMAC) Algorithm. The proposed algorithm utilizes the high throughput of PCMAC authenticated encryption algorithm for providing high throughput and more randomized ciphertext. The proposed algorithm is implemented for generation of Initialization Vector (IV) using the GEFFE generator and right shift operation for creating randomness in the ciphertext. The comparisons result show that the proposed implementation is more randomized as compared to the previous implementation.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127390985","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: 3
Financial Network Representation Learning for Time Series Investment Behavior 时间序列投资行为的金融网络表示学习
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040820
Juncheng Li, Guanghui Yan, Shan Wang, Junbo Bao
{"title":"Financial Network Representation Learning for Time Series Investment Behavior","authors":"Juncheng Li, Guanghui Yan, Shan Wang, Junbo Bao","doi":"10.1109/ICSESS47205.2019.9040820","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040820","url":null,"abstract":"Stock market is one of the important parts of modern financial networks. The mass data of stock transaction contain valuable but sparsely distributing information. How to implement effective data analysis and excavate commercial value on financial data have been appealing to the whole industry and academia. The traditional research on stock network mainly starts from the correlation of stock prices to build a trading network and conduct research, ignoring the role and value of equity investment information. Financial network representation learning for time series investment behavior, combined with the special nature of financial transactions in the stock market on the basis of the traditional network learning based on random walk, a high efficiency financial network random walk model is proposed, mapping the timing concept into the node interaction tour mechanism while taking into account the investment behavior, from which the embedded vector is more able to support downstream machine learning tasks such as funding community discovery.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116806030","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
Two-stream Attention-aware Network for Spontaneous Micro-expression Movement Spotting 自发微表情运动识别的双流注意感知网络
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040685
Bo Sun, Siming Cao, Jun He, Lejun Yu
{"title":"Two-stream Attention-aware Network for Spontaneous Micro-expression Movement Spotting","authors":"Bo Sun, Siming Cao, Jun He, Lejun Yu","doi":"10.1109/ICSESS47205.2019.9040685","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040685","url":null,"abstract":"Micro-expression is a special facial movement, which can be used as an important basis for judging people's subjective emotions. Constrained by the physiology, micro-expression can be described temporally by four phases: neutral, onset, apex, and offset. And previous studies confirmed that using the crucial temporal sequences is better than using the whole video for micro-expression recognition. Therefore, micro-expression movement spotting is considered beneficial for micro-expression recognition. While it is a challenging task due to the short duration, low intensity and usually local motion characteristics of micro-expression. Inspired by the mechanism of the ventral and dorsal visual pathways in the cerebral visual cortex, we propose an end2end two-stream attention-aware network for micro-expression movement spotting in this paper. We construct a spatial-temporal cascaded network for each stream which combines convolutional neural network and attention-aware bilateral long short-term memory recurrent neural network. And we apply the attention mechanism to two-stream feature fusion. Experiments are conducted on three available published micro-expression datasets (SMIC2, CASME, and CASME II). The experimental results show that the proposed framework outperforms state-of-the-art methods for the task of micro-expression movement spotting.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127008821","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: 6
A Reference Architecture for Applications with Conversational Components 具有会话组件的应用程序的参考体系结构
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040822
S. Srivastava, T. Prabhakar
{"title":"A Reference Architecture for Applications with Conversational Components","authors":"S. Srivastava, T. Prabhakar","doi":"10.1109/ICSESS47205.2019.9040822","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040822","url":null,"abstract":"Providing a multi-modal user interface adds value to any application. Allowing users to speak or chat with the system is one such area where software practitioners are putting a lot of effort. This involves building components which can understand the nuances of human conversation. Such components, often called “chatbots, can be built either from scratch, or using a commercial platform. The process of architecting such applications may differ significantly from the “conventional” applications that the software practitioners usually build. In this work, we present a Reference Architecture for building such applications. We apply the Reference Architecture to a sample use-case and provide two Concrete Architectures for the same. The two architectures are designed keeping in mind, two commercial platforms, IBM Watson Assistant and Google DialogFlow, assuming that they were used to build the conversational components.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129766051","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: 4
PPG Signal Identification Method Based on CSASVM 基于CSASVM的PPG信号识别方法
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040765
Kaili Wang, Xiaohui Chen
{"title":"PPG Signal Identification Method Based on CSASVM","authors":"Kaili Wang, Xiaohui Chen","doi":"10.1109/ICSESS47205.2019.9040765","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040765","url":null,"abstract":"PPG signal is the inherent physiological signal of human body. It contains a lot of physiological and pathological information of human body. There are great differences in PPG signals among different individuals, and it has good uniqueness and confidentiality. This paper proposes an identity recognition method that uses the Crow Search Algorithm (CSA) to optimize the support vector machine (SVM) classification model. The method uses the matching pursuit (MP) sparse decomposition algorithm to sparse the individual PPG signals to extract the feature values of the PPG signals, and then uses the Relief algorithm to filter out the 16 main features to form feature vectors. The CSA algorithm is used to find the optimal parameters and create the optimal support vector machine classification model. The experiment proves that compared with the traditional SVM model, the accuracy of the optimization is increased by 10%-15%, and the recognition rate is 97.5%.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128088085","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: 2
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