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2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)最新文献

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Predicting return reversal through a two-stage method 通过两阶段法预测收益反转
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883081
Shuai Zhao, Yunhai Tong, Xiangfeng Meng, Xianglin Yang, Shaohua Tan
{"title":"Predicting return reversal through a two-stage method","authors":"Shuai Zhao, Yunhai Tong, Xiangfeng Meng, Xianglin Yang, Shaohua Tan","doi":"10.1109/ICSESS.2016.7883081","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883081","url":null,"abstract":"In the stock market, return reversal happens when investors sell overbought stocks and buy oversold stocks, making the trends of the stocks' prices reverse. While existing studies mainly focused on developing theories to explain the cause of return reversal, we aim at predicting return reversal by proposing a two-stage method in this paper. In the first stage, we employ dynamical Bayesian factor graph (DBFG) to select key factors correlating with return reversal closely from a comprehensive set of economic factors. In the second stage, we input the key factors into artificial neural network (ANN), support vector machine (SVM) and hidden Markov model (HMM) respectively, to accomplish the prediction of return reversal. Through extensive experiments on the US stock market, we establish that the key factors influencing return reversal generally change from year to year, yet factors related to the economic theory of liquidity effect consistently emerge as part of the key factors. Besides, DBFG-ANN achieves the most accurate prediction among the models, leading to precisions above 60%.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129646384","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
Coverage model of multi beam antenna from high altitude platform in the swing state 摆动状态下高空平台多波束天线的覆盖模型
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883176
He Panfeng, Cheng Naiping, Ni Shuyan
{"title":"Coverage model of multi beam antenna from high altitude platform in the swing state","authors":"He Panfeng, Cheng Naiping, Ni Shuyan","doi":"10.1109/ICSESS.2016.7883176","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883176","url":null,"abstract":"Affected by the stratosphere winds, the swing of high altitude platform station seriously affected the performance of the communication system. This paper described and analyzed the swing state of the platform, established the swing state of high altitude platform multi beam antenna coverage model. The expression of coverage geometry, received power and carrier interference ratio was derived. In the swing state, the performance of multi beam antenna is simulated and analyzed, which provides a theoretical reference for the future design of multi beam cell.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126355726","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
Location technology of indoor robot based on laser sensor 基于激光传感器的室内机器人定位技术
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883160
Yu Zhao, Fenglian Liu, Riwei Wang
{"title":"Location technology of indoor robot based on laser sensor","authors":"Yu Zhao, Fenglian Liu, Riwei Wang","doi":"10.1109/ICSESS.2016.7883160","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883160","url":null,"abstract":"In order to solve existed accumulative error and SLAM problem for dead reckoning, this paper was proposed a positioning method combining with the known structured environment based on Extended Kalman Filter algorithm (EKF). This method quickly extracts the information of border and corner. According to the feature mapping relationships between world coordinate system and local coordinate system, calculate the robot's position and orientation space in the scene by matching the modeled environmental information. This method that we proposed achieved a better accuracy, timeliness and correctness.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126428068","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: 5
Named Entity Recognition using Machine learning techniques for Telugu language 使用泰卢固语机器学习技术的命名实体识别
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883220
M. H. Khanam, Md.A. Khudhus, M. Babu
{"title":"Named Entity Recognition using Machine learning techniques for Telugu language","authors":"M. H. Khanam, Md.A. Khudhus, M. Babu","doi":"10.1109/ICSESS.2016.7883220","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883220","url":null,"abstract":"In this paper, we depict hybrid approach, i.e., combination of rule based approach and machine learning techniques, i.e Conditional Random Fields (CRF) for Named Entity Recognition (NER). The main objective of Named Entity Recognition is to categorize all Named Entities (NE) in a document into predefined classes like Person name, Location name, Organization name. This paper first outlines the Named Entity Recognizer using rule based approach. In this approach we prepared Gazette lists for names of persons, locations and organizations, some suffix and prefix features and dictionary consist of 200000 words to recognize the category of names entities. Further, we used Machine learning technique, i.e., CRF in order to improve the accuracy of the system.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121143989","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: 12
Short-term load forecasting model for metro power supply system based on echo state neural network 基于回波状态神经网络的地铁供电系统短期负荷预测模型
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883212
Yu Litao, Han Aoyang, Wang Li, Jia Xu, Zhang Zhisheng
{"title":"Short-term load forecasting model for metro power supply system based on echo state neural network","authors":"Yu Litao, Han Aoyang, Wang Li, Jia Xu, Zhang Zhisheng","doi":"10.1109/ICSESS.2016.7883212","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883212","url":null,"abstract":"The paper presents a short-term load forecasting model for metro power supply system based on echo state neural network. Echo state neural network composed of input layer, reserve pool, the output layer. Reserve pool as a dynamic network is connected by a large number of random sparse of neurons. Reserve pool is used to overcome the slow convergence speed and avoid neural network into the local minimum. Using the actual historical data of the metro power supply system to simulate, the simulation results show that the short-term load forecasting model for metro power supply system based on echo state neural network has good prediction accuracy.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121212655","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: 5
Exploring the power of resource allocation for Spark executor 探索Spark执行器的资源分配能力
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883042
Huihong He, Yan Li, Yanfei Lv, Yong Wang
{"title":"Exploring the power of resource allocation for Spark executor","authors":"Huihong He, Yan Li, Yanfei Lv, Yong Wang","doi":"10.1109/ICSESS.2016.7883042","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883042","url":null,"abstract":"Nowadays Spark has been widely adopted as a sharp blade in solving big data problems by pipelining tasks of jobs on each node of cluster. In order to improve cluster resource utilization, lots of Spark performance-tuning advices have been proposed both by Spark and researchers. However, we notice that most of these advices focus tuning configuration items in isolation without considering job characteristics. In this paper, we try to explore the impact of executor quota allocation for Spark job in consideration of job stages and size of input. Dozens of carefully designed experiments reveal that execution time among job stages varies in probability as executor quota changes and thus the job execution time varies. We believe this conclusion helps to shed light on allocating executor resource quota regarding to job characteristics.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123285389","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 implement a safe method for isolating memory based on Xen cloud environment 设计并实现了一种基于Xen云环境的安全内存隔离方法
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883189
Y. Liu
{"title":"Design and implement a safe method for isolating memory based on Xen cloud environment","authors":"Y. Liu","doi":"10.1109/ICSESS.2016.7883189","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883189","url":null,"abstract":"In view of the present cloud security problem which has been becoming one of the major obstacles hindering the development of the cloud increasingly, put forward a kind of technology implementation of memory security isolation based on Xen. And based on the Xen virtual machine monitor system, analysis the implementation approach of memory virtualization in the model, using Xen virtualization system memory's super calls and authorization table mechanism, design the security memory isolation system with the basics of virtual machine manager internal implementation of access control module (ACM). Experiments show that the system can effectively isolate the memory data between different customer domain OS illegal access.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115434927","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 of web security model based on Zero Knowledge Protocol 基于零知识协议的web安全模型研究
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883017
Amro Louay Al-Bajjari, Ling Yuan
{"title":"Research of web security model based on Zero Knowledge Protocol","authors":"Amro Louay Al-Bajjari, Ling Yuan","doi":"10.1109/ICSESS.2016.7883017","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883017","url":null,"abstract":"This paper mainly focus on designing and implementing a web security model in order to protect the network from any potential threats and attacks. When the email and information exchange between two parties over insecure channels, a web security model with optimized zero knowledge protocol can be used to identify the authentication between two parties. The proposed security model can achieve the authentication property implemented by using Zero Knowledge Protocol (ZKP), the integrity property implemented by using HMAC, and the confidentiality property implemented by using AES. The web security model can demonstrate to handle the man-in-the-middle attack.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"324 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115844187","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
A parallel Bayesian network learning algorithm for classification 一个用于分类的并行贝叶斯网络学习算法
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883062
Jie Hu, Guoshi Wu, Pengfei Sun, Qiu Xiong
{"title":"A parallel Bayesian network learning algorithm for classification","authors":"Jie Hu, Guoshi Wu, Pengfei Sun, Qiu Xiong","doi":"10.1109/ICSESS.2016.7883062","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883062","url":null,"abstract":"Bayesian network (BN), an important machine learning technique, has been widely used in modeling relationships among random variables. BN is considered to be suitable for tasks like prediction, classification and cause analysis. In fact, Bayesian network model often preforms better precision than other commonly used algorithm models in classification and prediction. Meanwhile, taking Max-Min-Hill-Climbing as an example, many BN structure learning algorithms are heuristic, which means the time algorithm needs to converge can grow intensively when dealing with massive calculation. This paper aims at lessening time cost of learning BN structure process. We proposed an approach combining MapReduce with MMHC method. After splitting the training data set, several sub Bayesian network structures are learned simultaneously on Hadoop. To easily integrate prediction results from all those subnets, we employed boosting method to manage classification task. Our experiment results show good precision as well as better time performance in real distributed environment.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128468991","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: 9
Practical Identity-Based authentication protocol for ad-hoc networks ad-hoc网络实用的基于身份的认证协议
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI: 10.1109/ICSESS.2016.7883087
Boang Feng, Jianwei Liu
{"title":"Practical Identity-Based authentication protocol for ad-hoc networks","authors":"Boang Feng, Jianwei Liu","doi":"10.1109/ICSESS.2016.7883087","DOIUrl":"https://doi.org/10.1109/ICSESS.2016.7883087","url":null,"abstract":"In this paper, we propose an Identity-Based encryption (IBE) scheme and corresponding signature scheme with the feature of transmission route assurance. And then, we put forward a reforming method to make them more efficient and lightweight with the end-to-end feature, encouraging a broader range of application in ad-hoc networks. Based on these schemes, we present a new identity-based authentication protocol for ad-hoc networks. Through analysis and contrast, we show the fulfillment and feasibility of our protocol with respect to the security and efficiency goals.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128750532","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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