Selecting the appropriate algorithms to construct a synthetic planner for mobile robots in a given environment is a very beneficial task. The planner of mobile robots is a highlyconfigurable system, which mainly includes obstacle avoidance and navigation algorithms. This paper presents a framework to dynamically combine the synthetic planner according to the robot surrounding environment and the robotic states. Furthermore, two feasible approaches are introduced to select, i.e., the blackbox approach and the rule-based approach.
{"title":"Dynamic Algorithm Selection for Mobile Robots Motion Planning","authors":"Wenbing Tang, Libin Zheng, Mingyue Jiang, Zuohua Ding","doi":"10.1109/DSA.2019.00084","DOIUrl":"https://doi.org/10.1109/DSA.2019.00084","url":null,"abstract":"Selecting the appropriate algorithms to construct a synthetic planner for mobile robots in a given environment is a very beneficial task. The planner of mobile robots is a highlyconfigurable system, which mainly includes obstacle avoidance and navigation algorithms. This paper presents a framework to dynamically combine the synthetic planner according to the robot surrounding environment and the robotic states. Furthermore, two feasible approaches are introduced to select, i.e., the blackbox approach and the rule-based approach.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121228068","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 solve the problems of inaccurate test results and excessive detection time in the traditional teaching software stability testing system, a multimedia courseware aided teaching software stability testing system is proposed and designed. Through the improvement of the hardware configuration of the system, the Virtex-5 series chips and 16 bit shift registers are added to improve the running efficiency of the system. At the same time, the system software platform is optimized to realize the reasonable optimization of the stability test system of multimedia courseware auxiliary teaching software, and to ensure the accuracy of the stability test system of multimedia courseware auxiliary teaching software. finally, it is proved by experiments. The stability test system of multimedia courseware aided teaching software has the advantages of short time consuming and high accuracy, and fully meets the requirements of system optimization research(Abstract).
{"title":"Design of Stability Test System for Multimedia Courseware Assisted Teaching Software","authors":"Jichao Yan","doi":"10.1109/DSA.2019.00021","DOIUrl":"https://doi.org/10.1109/DSA.2019.00021","url":null,"abstract":"In order to solve the problems of inaccurate test results and excessive detection time in the traditional teaching software stability testing system, a multimedia courseware aided teaching software stability testing system is proposed and designed. Through the improvement of the hardware configuration of the system, the Virtex-5 series chips and 16 bit shift registers are added to improve the running efficiency of the system. At the same time, the system software platform is optimized to realize the reasonable optimization of the stability test system of multimedia courseware auxiliary teaching software, and to ensure the accuracy of the stability test system of multimedia courseware auxiliary teaching software. finally, it is proved by experiments. The stability test system of multimedia courseware aided teaching software has the advantages of short time consuming and high accuracy, and fully meets the requirements of system optimization research(Abstract).","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128533732","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}
Under the big data environment, knowledge of software non-functional requirements is connected with and distributed in large-scale, multi-sources, heterogeneous, multimodels and continuously growing data sources. In order to organize the information and establish a relationship between concepts so as to make knowledge available, we focus on building a knowledge graph of non-functional requirements. We found that the non-functional requirement knowledge is valid in specific fields. Considering the fact that traditional knowledge embedding model is not pleasant when dealing with one-to-many and manyto- one complex relationships in non-functional knowledge graphs, we will classify the domain of knowledge in non-functional knowledge graph by introducing patterns. Moreover, we are going to introduce pattern information into traditional knowledge embedding model, and propose a pattern-based non-functional knowledge embedding model-PNFE. The experimental results imply that PNFE model is superior to other traditional models in dealing with link prediction of non-functional knowledge graphs and quadruple classification tasks.
{"title":"Pattern-Based Knowledge Graph Embedding for Non-functional Requirements","authors":"Zhaoyu Pan, Xuan Zhuang, Junmin Ren, Xin Zhang","doi":"10.1109/DSA.2019.00063","DOIUrl":"https://doi.org/10.1109/DSA.2019.00063","url":null,"abstract":"Under the big data environment, knowledge of software non-functional requirements is connected with and distributed in large-scale, multi-sources, heterogeneous, multimodels and continuously growing data sources. In order to organize the information and establish a relationship between concepts so as to make knowledge available, we focus on building a knowledge graph of non-functional requirements. We found that the non-functional requirement knowledge is valid in specific fields. Considering the fact that traditional knowledge embedding model is not pleasant when dealing with one-to-many and manyto- one complex relationships in non-functional knowledge graphs, we will classify the domain of knowledge in non-functional knowledge graph by introducing patterns. Moreover, we are going to introduce pattern information into traditional knowledge embedding model, and propose a pattern-based non-functional knowledge embedding model-PNFE. The experimental results imply that PNFE model is superior to other traditional models in dealing with link prediction of non-functional knowledge graphs and quadruple classification tasks.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127782215","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}
Coal resource is an important basic energy in China, and coal industry plays an important role in the development of national economy and society. Belt conveyor is a very important transport equipment in the coal mining operation. However, in the actual production scenario, some abnormal operation of belt conveyor may occur, and even lead to safety accidents. These abnormalities mainly include: belt idling without transporting material, belt deviation, foreign matters on the belt, and people are too close to the belt. In view of the above four abnormal situations, this paper uses computer vision and statistics related technology to monitor the operation of the belt conveyor in real time, and inform the staff of the abnormal information in the form of broadcast, that is to build a set of intelligent monitoring system based on computer vision. Therefore, the work of this paper mainly has two aspects, one is to build a complete set of monitoring system of coal conveyor belt based on computer vision technology, the other is in this monitoring system, this paper also proposes a method to judge the running and shutdown of the belt based on the local pixel difference.
{"title":"Intelligent Monitoring System of Coal Conveyor Belt Based on Computer Vision Technology","authors":"Zhongyi Li, Xiaoning Zhu, Jie Zhou","doi":"10.1109/DSA.2019.00055","DOIUrl":"https://doi.org/10.1109/DSA.2019.00055","url":null,"abstract":"Coal resource is an important basic energy in China, and coal industry plays an important role in the development of national economy and society. Belt conveyor is a very important transport equipment in the coal mining operation. However, in the actual production scenario, some abnormal operation of belt conveyor may occur, and even lead to safety accidents. These abnormalities mainly include: belt idling without transporting material, belt deviation, foreign matters on the belt, and people are too close to the belt. In view of the above four abnormal situations, this paper uses computer vision and statistics related technology to monitor the operation of the belt conveyor in real time, and inform the staff of the abnormal information in the form of broadcast, that is to build a set of intelligent monitoring system based on computer vision. Therefore, the work of this paper mainly has two aspects, one is to build a complete set of monitoring system of coal conveyor belt based on computer vision technology, the other is in this monitoring system, this paper also proposes a method to judge the running and shutdown of the belt based on the local pixel difference.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125868639","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}
Yuan Yuan, W. Kong, Gang Hou, Yan Hu, Masahiko Watanabe, Akira Fukuda
Clone detection detects similar code fragments (refer to as clone code) in software products. It can help with software optimization and maintenance. Code clone detection can be divided into textual, lexical, syntactic and semantic levels. The existing technologies have achieved many good results in the first three levels, but no significant results have been obtained in semantic clone detection. In this paper, we propose a novel semantic level clone detection approach. We use the control flow graph (CFG) as an intermediate representation of the program method, combining the classical dynamic time warping (DTW) algorithm in the field of speech recognition with two deep neural network models (bidirectional RNN autoencoder and graph convolutional network (GCN)) to detect semantic level clone from local to global. We experimented with a dataset consisting of five large-scale real-world systems and a code corpus containing a large number of programming problems. The experimental results show that our approach can achieve good results in detecting both local and global semantic clone.
{"title":"From Local to Global Semantic Clone Detection","authors":"Yuan Yuan, W. Kong, Gang Hou, Yan Hu, Masahiko Watanabe, Akira Fukuda","doi":"10.1109/DSA.2019.00012","DOIUrl":"https://doi.org/10.1109/DSA.2019.00012","url":null,"abstract":"Clone detection detects similar code fragments (refer to as clone code) in software products. It can help with software optimization and maintenance. Code clone detection can be divided into textual, lexical, syntactic and semantic levels. The existing technologies have achieved many good results in the first three levels, but no significant results have been obtained in semantic clone detection. In this paper, we propose a novel semantic level clone detection approach. We use the control flow graph (CFG) as an intermediate representation of the program method, combining the classical dynamic time warping (DTW) algorithm in the field of speech recognition with two deep neural network models (bidirectional RNN autoencoder and graph convolutional network (GCN)) to detect semantic level clone from local to global. We experimented with a dataset consisting of five large-scale real-world systems and a code corpus containing a large number of programming problems. The experimental results show that our approach can achieve good results in detecting both local and global semantic clone.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128243164","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}
There are a lot of Chïnese news about the same topic on the Internet today. Many of them are similar or repetitive for readers. It is hard to find what are the readers needed exactly. Multi-document news summarization aim at extractioninformationfrommultiple news texts on sametopie to automatically generate summary report for readers. Our paper chooses the news of the Great Wall as an example to illustrate the method of automatic summary generation In ourmethod, combinedwiththe characteristies ofnews corpus, the HLDA topie importance calculation model is improved. Based on the abstractly characteristics of the model, news related features such as news headline words, topie sensitive words and TF-IDF are added. Abstract sentence extraction and sentence fusion, automatic generation of abstracts. Experimental results show that the proposed algorithm is higherin the index thanthe traditional method, indicatingthe accuracy of the corpus combined with news features and the improved HLDA algorithm.
{"title":"An Method of Improved HLDA-Based Multi-document Automatic Summarization of Chinese News","authors":"Yan Liu, Ying Li, Chengcheng Hu, Yongbin Wang","doi":"10.1109/dsa.2019.00068","DOIUrl":"https://doi.org/10.1109/dsa.2019.00068","url":null,"abstract":"There are a lot of Chïnese news about the same topic on the Internet today. Many of them are similar or repetitive for readers. It is hard to find what are the readers needed exactly. Multi-document news summarization aim at extractioninformationfrommultiple news texts on sametopie to automatically generate summary report for readers. Our paper chooses the news of the Great Wall as an example to illustrate the method of automatic summary generation In ourmethod, combinedwiththe characteristies ofnews corpus, the HLDA topie importance calculation model is improved. Based on the abstractly characteristics of the model, news related features such as news headline words, topie sensitive words and TF-IDF are added. Abstract sentence extraction and sentence fusion, automatic generation of abstracts. Experimental results show that the proposed algorithm is higherin the index thanthe traditional method, indicatingthe accuracy of the corpus combined with news features and the improved HLDA algorithm.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126023910","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}
Minghua Jia, Zhanqi Cui, Yiwen Wu, Ruilin Xie, Xiulei Liu
At present, spectrum-based fault localization and mutation-based fault localization are the most popular fault localization methods. The two methods suffer from the problems that multiple statements are ranked the same and there are high time costs. To improve the performance of fault localization, this paper proposes a novel approach for fault localization based on integrating spectrum and mutation. In addition to decreasing the time consumption overhead of the mutation-based fault localization method, the approach improves the accuracy of the spectrum-based fault localization method. The experimental results show that the approach improves the accuracy of fault localization in comparison with the spectrum-based fault localization method.
{"title":"SMFL Integrating Spectrum and Mutation for Fault Localization","authors":"Minghua Jia, Zhanqi Cui, Yiwen Wu, Ruilin Xie, Xiulei Liu","doi":"10.1109/DSA.2019.00090","DOIUrl":"https://doi.org/10.1109/DSA.2019.00090","url":null,"abstract":"At present, spectrum-based fault localization and mutation-based fault localization are the most popular fault localization methods. The two methods suffer from the problems that multiple statements are ranked the same and there are high time costs. To improve the performance of fault localization, this paper proposes a novel approach for fault localization based on integrating spectrum and mutation. In addition to decreasing the time consumption overhead of the mutation-based fault localization method, the approach improves the accuracy of the spectrum-based fault localization method. The experimental results show that the approach improves the accuracy of fault localization in comparison with the spectrum-based fault localization method.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127391646","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 research of complex network is a hot spot in current scientific research, such as the Internet network, neural network and social network. Main contents of this paper are about visualization and structural analysis of the political network of the Northern Song Dynasty in China, to show and dig objective information about history of this period. Firstly, we use community-structure to measure complexity of relationship network, besides, we fit plots to find rules of degree distribution and its scale-free property, finally, we use small-world model to verify its small-world phenomenon.
{"title":"Complex Network Analysis Based on Politics of Northern Song Dynasty","authors":"Ke Wang, Chunfang Li, Xiaoyan Zhou","doi":"10.1109/DSA.2019.00076","DOIUrl":"https://doi.org/10.1109/DSA.2019.00076","url":null,"abstract":"The research of complex network is a hot spot in current scientific research, such as the Internet network, neural network and social network. Main contents of this paper are about visualization and structural analysis of the political network of the Northern Song Dynasty in China, to show and dig objective information about history of this period. Firstly, we use community-structure to measure complexity of relationship network, besides, we fit plots to find rules of degree distribution and its scale-free property, finally, we use small-world model to verify its small-world phenomenon.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126336386","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}
Traditional color image segmentation quality control method image segmentation quality is low, the control effect is not good. To solve the above problems, a color image segmentation quality control method based on cloud computing is proposed. This method is composed of five steps: first, color image acquisition architecture is designed, color image storage is completed by using cloud computing, th en cloud image is used to preprocess the collected image (color quantization, color space conversion, color similarity measurement), and th en cloud computing is used for color clustering. Finally, the regions are merged and deleted to achieve color image color consistency control and realize segmentation quality control. The results show that the method can effectively control the quality of color image segmentation, and the consistency, contrast and shape parameters are improved by 0.14, 0.19 and 0.19, respectively(Abstract).
{"title":"Research on Quality Control Method of Color Image Segmentation Based on Cloud Computing","authors":"Jia Wang","doi":"10.1109/DSA.2019.00034","DOIUrl":"https://doi.org/10.1109/DSA.2019.00034","url":null,"abstract":"Traditional color image segmentation quality control method image segmentation quality is low, the control effect is not good. To solve the above problems, a color image segmentation quality control method based on cloud computing is proposed. This method is composed of five steps: first, color image acquisition architecture is designed, color image storage is completed by using cloud computing, th en cloud image is used to preprocess the collected image (color quantization, color space conversion, color similarity measurement), and th en cloud computing is used for color clustering. Finally, the regions are merged and deleted to achieve color image color consistency control and realize segmentation quality control. The results show that the method can effectively control the quality of color image segmentation, and the consistency, contrast and shape parameters are improved by 0.14, 0.19 and 0.19, respectively(Abstract).","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115519942","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 motion equation of the aircraft is a nonlinear function of the motion parameters, so it is very difficult to solve it by the analytical method, and the design of the control law has great challenges. Therefore, the basic idea of the small disturbance method and the analysis method of the motion characteristics are used in the design of the control law of the UAV in this paper. Firstly, on the basis ofUAV's all state nonlinear mathematical model, small disturbance equations are constructed by decoupling grouping and linearization The longitudinal and lateral motion characteristics of UAV are analyzed from the angle of characteristic root and amplitude frequency curve. Finally, the attitude and trajectory control law of UAV is designed based on the gain preset theory. The simulation results show that the designed control law has good performance.
{"title":"Design of UAV Longitudinal Control law Based on Small Disturbance and Motion Characteristics","authors":"Hanqiao Huang, Huan Zhou, Peng Zhang, Meiyun Zheng, Senyu Zhang, Fan Ren","doi":"10.1109/DSA.2019.00048","DOIUrl":"https://doi.org/10.1109/DSA.2019.00048","url":null,"abstract":"The motion equation of the aircraft is a nonlinear function of the motion parameters, so it is very difficult to solve it by the analytical method, and the design of the control law has great challenges. Therefore, the basic idea of the small disturbance method and the analysis method of the motion characteristics are used in the design of the control law of the UAV in this paper. Firstly, on the basis ofUAV's all state nonlinear mathematical model, small disturbance equations are constructed by decoupling grouping and linearization The longitudinal and lateral motion characteristics of UAV are analyzed from the angle of characteristic root and amplitude frequency curve. Finally, the attitude and trajectory control law of UAV is designed based on the gain preset theory. The simulation results show that the designed control law has good performance.","PeriodicalId":342719,"journal":{"name":"2019 6th International Conference on Dependable Systems and Their Applications (DSA)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131666333","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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