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

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Using Format Migration and Preservation Metadata to Support Digital Preservation of Scientific Data 使用格式迁移和保存元数据支持科学数据的数字化保存
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040683
Jiajun Xie, Min Zhang, Yongqi Ma
{"title":"Using Format Migration and Preservation Metadata to Support Digital Preservation of Scientific Data","authors":"Jiajun Xie, Min Zhang, Yongqi Ma","doi":"10.1109/ICSESS47205.2019.9040683","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040683","url":null,"abstract":"With the development of e-Science and data intensive scientific discovery, it needs to ensure scientific data available for the long-term, with the goal that the valuable scientific data should be discovered and re-used for downstream investigations, either alone, or in combination with newly generated data. As such, the preservation of scientific data enables that not only might experiment be reproducible and verifiable, but also new questions can be raised by other scientists to promote research and innovation. In this paper, we focus on the two main problems of digital preservation that are format migration and preservation metadata. Format migration includes both format verification and object transformation. The system architecture of format migration and preservation metadata is presented, mapping rules of object transformation are analyzed, data fixity and integrity and authenticity, digital signature and so on are discussed and an example is shown in detail.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"44 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":"134389967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Trace Agent with Code No-invasion Based on Byte Code Enhancement Technology 基于字节码增强技术的代码无入侵跟踪代理
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040725
Hongrun Wang, Wei Fang
{"title":"A Trace Agent with Code No-invasion Based on Byte Code Enhancement Technology","authors":"Hongrun Wang, Wei Fang","doi":"10.1109/ICSESS47205.2019.9040725","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040725","url":null,"abstract":"With the popularity of microservice architecture and the increasing complexity of services, how to effectively monitor application performance becomes more and more important. Under the guidance of the Dapper system of Google, many distributed tracking systems have emerged. The most essential part of the distributed tracking system is how to access the information of trace. In this paper, a trace agent based on byte code enhancement technology is presented. Then, the design of the agent and the construction of the trace logic are described in detail. The availability of agents is verified from the aspects of overhead and effectiveness under real environment. Finally, the result of experiment proves that it is convenient and effective to use the trace agent to get the information of trace from applications in Java language.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"40 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":"132980821","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
[ICSESS 2019 Front Matter] [ICSESS 2019前沿事项]
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/icsess47205.2019.9040813
{"title":"[ICSESS 2019 Front Matter]","authors":"","doi":"10.1109/icsess47205.2019.9040813","DOIUrl":"https://doi.org/10.1109/icsess47205.2019.9040813","url":null,"abstract":"","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"4 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":"131120786","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
Research on Chinese Naming Recognition Model Based on BERT Embedding 基于BERT嵌入的中文命名识别模型研究
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040736
Qing Cai
{"title":"Research on Chinese Naming Recognition Model Based on BERT Embedding","authors":"Qing Cai","doi":"10.1109/ICSESS47205.2019.9040736","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040736","url":null,"abstract":"Named entity recognition (NER) is one of the foundations of natural language processing(NLP). In the method of Chinese named entity recognition based on neural network, the vector representation of words is an important step. Traditional word embedding method map words or chars into a single vector, which can not represent the polysemy of words. To solve this problem, a named entity recognition method based on BERT Embedding model is proposed. The method enhances the semantic representation of words by BERT(Bidirectional Encoder Representations from Transformers) pre-trained language model. BERT can generates the semantic vectors dynamically according to the context of the words, and then inputs the word vectors into BiGRU-CRF for training. The whole model can be trained during training. It is also possible to fix the BERT and train only the BiGRU-CRF part. Experiments show that the two training methods of the model reach 95.43% F1 and 94.18% F1 in MSRA corpus, respectively, which are better than the current optimal Lattice-LSTM model.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"188 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":"124149648","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: 14
Hybrid Way of Code Coverage Tracking in Fuzz 模糊中代码覆盖跟踪的混合方法
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040815
Hanyi Nie, Xu Zhou, Junnan Zhang
{"title":"Hybrid Way of Code Coverage Tracking in Fuzz","authors":"Hanyi Nie, Xu Zhou, Junnan Zhang","doi":"10.1109/ICSESS47205.2019.9040815","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040815","url":null,"abstract":"In software testing, code coverage can be one of the major metrics for evaluating the effectiveness of a test. Among all existing software testing methods, coverage-guided fuzzing is widely used nowadays, but the way it uses to obtain path coverage is mostly based on code instrumentation or emulation. However, a tester cannot take targeted measures if have no information about where the progress of the test is stuck. This paper proposes a method to record precise code coverage in a hybrid way which combining static program analysis and dynamic tracing. This work is on the basis of previous work that leverages hardware mechanism (Intel Processor Trace) to collect branch information and implement a tool called CovFuzz. Our approach can achieve an accurate coverage track that can reversibly find the corresponding source code or assembly code to assist program analysis and break through the bottleneck when the progress of software testing gets stuck. Our experiments show that the code coverage can be improved with the help of accurate path information.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"17 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":"124168346","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
An Optimal Rate Control Algorithm for HEVC Inter Frame Based on SVM 基于支持向量机的HEVC帧间最优速率控制算法
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040797
Xueyan Gao, Z. Li, Yuping Zhang
{"title":"An Optimal Rate Control Algorithm for HEVC Inter Frame Based on SVM","authors":"Xueyan Gao, Z. Li, Yuping Zhang","doi":"10.1109/ICSESS47205.2019.9040797","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040797","url":null,"abstract":"HEVC achieves much higher coding efficiency compared with previous coding standards, but its encoding performance needs to be improved. This paper optimizes the problem of the unreasonable bit allocation in HEVC inter frames at CTU level by designing an optimal rate control algorithm for HEVC inter frame Based on SVM. The proposed algorithm classifies different CTUs in inter frames into three classes according to R-D relationship to improve the prediction accuracy of rate-distortion model, and then adjusts the bit allocation of CTUs, which can make the bit allocation more reasonable and improve the output video quality with limited bandwidth. Experimental results show that the proposed method can improve the quality of Coded Videos with the increase of PSNR by 0.18dB while maintaining stable bitrate.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"54 5 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":"124181198","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
Application of GA-Optimized ANN on Modeling the Performance of Coiled Adiabatic Capillary Tubes ga优化人工神经网络在螺旋绝热毛细管性能建模中的应用
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040712
Yuchen Zhou, Guobing Zhou
{"title":"Application of GA-Optimized ANN on Modeling the Performance of Coiled Adiabatic Capillary Tubes","authors":"Yuchen Zhou, Guobing Zhou","doi":"10.1109/ICSESS47205.2019.9040712","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040712","url":null,"abstract":"An Artificial Neural Network (ANN) model optimized with Genetic Algorithms (GA) is applied to predict the mass flow rate in coiled adiabatic capillary tubes. Capillary tubes are the key flow control devices in small refrigeration and air conditioning units, which are usually coiled to save space. The flashing flow through coiled capillary tubes is much complex and the physical process is typically non-linear, which needs complicated mathematical model (conservative equations) for precise prediction. A GA-optimized ANN model is thus employed to address this challenging problem, which is valuable for the design of coiled capillary tubes in real applications. The training samples are from the experimental data on a one-pass-through test facility, which provides accurate source datasets. The results show that the predicted mass flow rates with GA-optimized ANN model agree well with the test data with an average error of 2.43%.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"56 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":"124641364","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
Application of Deep Learning in Stock Market Valuation Index Forecasting 深度学习在股票市场估值指标预测中的应用
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040833
Ge Li, Ming Xiao, Ying Guo
{"title":"Application of Deep Learning in Stock Market Valuation Index Forecasting","authors":"Ge Li, Ming Xiao, Ying Guo","doi":"10.1109/ICSESS47205.2019.9040833","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040833","url":null,"abstract":"Deep learning is the core technology of artificial intelligence, which has higher accuracy than traditional algorithms. The characteristics of high-risk and high-yield in stock market make investors hope to make predictions on it through scientific methods, so as to reduce investment risks. Long short-term memory (LSTM) model in deep learning can effectively describe the long memory of data and is suitable for predicting financial time series. Therefore, this paper uses LSTM model in deep learning to learn and forecast the stock market valuation indicator, price-earnings ratio (P/E ratio). Then the prediction bias is measured by forecast trend accuracy (FTA), average forecast deviation rate (AFDR), and root mean square error (RMSE). Empirical results show that LSTM model has a good predictive effect on P/E ratio sequence, indicating that there is practical research value for applying deep learning network algorithm to the field of stock market forecasting. At the same time, this paper also provides a reference for stock market investors.","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":"124646817","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: 7
Algorithm Study for Supersonic Steam Injection Process Simulation of The Pressurizer Relief Tank 增压泄压罐超音速蒸汽喷射过程仿真算法研究
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040763
Yi Wang, Xiao-Wei Guo, Chao Li, Lijuan Chen, Ran Zhao, Canqun Yang
{"title":"Algorithm Study for Supersonic Steam Injection Process Simulation of The Pressurizer Relief Tank","authors":"Yi Wang, Xiao-Wei Guo, Chao Li, Lijuan Chen, Ran Zhao, Canqun Yang","doi":"10.1109/ICSESS47205.2019.9040763","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040763","url":null,"abstract":"Simulating the steam Injection process of pressurized decompression tanks is a challenging engineering problem due to the large amount of computational resource requirements and its complex physical model. This study is a necessary algorithmic study to perform a 3D numerical simulation from the PRT (Pressurizer Relief Tank) to the transient dumping process in a chamber containing a tank. Parallel simulation was performed by the open source CFD tool OpenFOAM based on the numerical algorithm we discussed. The results show that the simulation results are in accordance with the basic physical laws, and the results reflect the pressure and temperature of the entire pressure relief tank in detail, which can provide guidance for the safe design of the reactor coolant system.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"70 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":"128510844","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
Batched Trajectory Compression Algorithm Based on Hierarchical Grid Coordinates 基于分层网格坐标的批处理轨迹压缩算法
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040741
Lin Li, Xuezhi Xia, Xiaolong Liu, Yu An
{"title":"Batched Trajectory Compression Algorithm Based on Hierarchical Grid Coordinates","authors":"Lin Li, Xuezhi Xia, Xiaolong Liu, Yu An","doi":"10.1109/ICSESS47205.2019.9040741","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040741","url":null,"abstract":"In the visual analysis application of large-scale off-line trajectory data, users need fast user-interface response with low latency. For such demand, we established a hierarchical grid coordinate system and proposed a batched trajectory compression algorithm. We projected the original track points into the discrete grid coordinates at the corresponding layer according to the trajectory visualization needs. Then, the original trajectory points were clustered by using the approximation of transformation to form a preliminary data set of compressed trajectory points in the corresponding layer. The data set was processed by the Douglas-Poker algorithm to get the final compressed trajectory data; we also accelerated the algorithm by using GPU. The analysis and experiments show that our algorithm can quickly generate the compressed trajectory data and improve the displaying efficiency of massive trajectory data on the basis of maintaining the invariance of the trajectory data visualization.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"11 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":"128674988","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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