{"title":"SoSE Architecture of Data Intensive Computing for Healthcare Information System","authors":"Jun Ni, Ying Chen, Jie Sha, Minghuan Zhang","doi":"10.1109/ICICSE.2015.37","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.37","url":null,"abstract":"The architecture of healthcare information system (HIS) is important framework. The architecture implements the cutting-edge technologies of cloud computing and big data in parallel and distributed computing manors. The architecture scheme is proposed in SoSE-based systems engineering paradigm. The implementation of such architecture for healthcare data processing is given via multiple layers of big data implementations. This study is a primary work which provides basic insight into future intelligent system of HIS systems.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126901718","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}
{"title":"A Fuzzy Ranking Based Buffer Replacement Strategy for Opportunistic Networks","authors":"Yushu Zhang, Huiqiang Wang, Guangsheng Feng, Hongwu Lv","doi":"10.1109/ICICSE.2015.45","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.45","url":null,"abstract":"In opportunistic networks, it always suffers from the problems that the topology of the network changes dramatically, the disconnection between nodes are prevalen. A store-carry-forward protocol is utilized to deal with those problems in which messages need to be stored in buffers and carried for a long time. Allowing for the limited buffer space, it likely brings buffer overflows and network congestion. A buffer replacement strategy based on fuzzy ranking is proposed to ease congestion and improve efficiency for opportunistic networks in this paper. In the strategy priority, timeliness and size of messages are taken into account, and fuzzy theory is employed to make multi-attribute evaluation and rank replacement sequence. Through simulation results, it can be observed that the proposed strategy can improve the effect of routing in opportunistic networks in terms of delivery ratio and packet loss rate.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131323050","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}
{"title":"HPC-Enhanced Software Correlator in Chinese VLBI Networks","authors":"Juan Zhang, Weimin Zheng, L. Tong, Lei Liu","doi":"10.1109/ICICSE.2015.9","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.9","url":null,"abstract":"VLBI is a technique that synthesizes the signals of several telescopes to achieve a much higher resolution. Correlator is a key component in the whole VLBI system. This paper introduces the parallel implementation of the CVN(Chinese VLBI Network) software correlator. High performance computing algorithms are used to accelerate the correlation process.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"22 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132388513","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}
{"title":"A Volume-Averaged Mathematical Model for Biotransport Part II Macroscopic Fluxes and Interfacial Transfers","authors":"Jun Ni","doi":"10.1109/ICICSE.2015.36","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.36","url":null,"abstract":"Modeling of biotransport phenomena inside human body has being paid attentions for last 50 years. Most of mathematical model only consider energy conservation which is bioheat. However in biosystems, the heat and chemical compositions with mas and momentum are coupled. The macroscopic volume-averaged transport model is presented in the previous paper. This paper we present our mathematical expressions for macroscopic fluxes, interfacial transfer fluxes, as well as basic requirements for system closure.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128463525","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}
{"title":"Teaching-Learning-Based Differential Evolution Algorithm for Optimization Problems","authors":"Changming Zhu, Yan Yan, Haierhan, Jun Ni","doi":"10.1109/ICICSE.2015.34","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.34","url":null,"abstract":"Differential Evolution (DE) is one of the current best evolutionary algorithms. It becomes the popular research topic in many fields such as evolutionary computing and intelligent optimization. At present, DE has successfully been applied to diverse domains of science and engineering, such as signal processing, neural network optimization, pattern recognition, machine intelligence, chemical engineering and medical science. However, almost all the evolutionary algorithms, including DE, still suffer from the problems of premature convergence, slow convergence rate and difficult parameter setting. To overcome these drawbacks, we propose a novel Teaching-Learning-Based Differential Evolution Algorithm(TLDE), in which the pheromone and the sensitivity model in free search algorithm to replace the traditional roulette wheel selection model, and introduces OBL to present an improved artificial bee colony algorithm. Experimental results confirm the superiority of Teaching-Learning-Based Differential Evolution Algorithm over several state-of-the-art evolutionary optimizers.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128477956","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}
{"title":"A Web Security Data Detection Based on Group Scanning","authors":"Shichang Xuan, Dapeng Man, Wei Wang, Wu Yang","doi":"10.1109/ICICSE.2015.47","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.47","url":null,"abstract":"After studying the current principle andarchitecture of antivirus gateway for Web security detection, we found that the conventional virus scan is based on filescanning, which takes significant processing time. Whenscanning big size files, it may often cause disconnection of filetransferring with a time-out error message prompted out. Tosolve the problem of slow file virus scan, we propose a newmethod in which a packet scanning is introduced instead oftraditional file scanning. This method can be used to processfile receiving and scanning in parallel. The experiment resultsprove that this method significantly improve the performanceof security detection speed.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129116164","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}
{"title":"A Method for Microblog Search by Adjusting the Language Model with Time","authors":"Song Li, Hui Ning, Zhong-yuan Han, Haoliang Qi","doi":"10.1109/ICICSE.2015.14","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.14","url":null,"abstract":"Time is a good scale for a microblog search. The traditional retrieval model only uses content to query microblog information. Many studies thought that the relevant microblogs most likely appear when it is close to the instant time of query. Through an analysis of microblog data, people find that the relevant information in microblogs possibly appears when it is far from the query time. These two opinions are conflict each other. Therefore, in this paper we report a modified language model which can be used to adjust time difference with appropriate weights. This way the order of the microblogs can be readjusted. The experimental results on microblog show the model works well.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130461405","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}
{"title":"Anatomy of Functional Components of Healthcare Information System","authors":"Jun Ni, Ying Chen, Jie Sha, Minghuan Zhang","doi":"10.1109/ICICSE.2015.39","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.39","url":null,"abstract":"The healthcare information system (HIS) becomes very important in today medical and healthcare services. Huge healthcare data with various types and structures are generated in a daily base. The processing and mining of the data is in urgent demand. How to design a HIS system that cooperates with cloud computing and big data technology to meet such emergence become critical, technical challenging to today's healthcare services. In this paper we present our preliminary study of computing architecture for such HIS. The architecture design is based on HIS's sub-systems (functional modules) each of which matches with corresponding healthcare service. The architecture is designed based on the feasters of desired data intensive computing systems with considerations of data volume and growth rate, heterogeneous data structures, and methods of data storages.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"437 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131953496","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}
Jing-Mei Li, Qiao Tian, Jiaxiang Wang, Jian-li Li, Yuchen Bai, Sen Lin
{"title":"A Query Mechanism of Massive Relational Data Cross Regional and Multiple Data Centers","authors":"Jing-Mei Li, Qiao Tian, Jiaxiang Wang, Jian-li Li, Yuchen Bai, Sen Lin","doi":"10.1109/ICICSE.2015.10","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.10","url":null,"abstract":"In this paper, we propose a collaborative query system on large-scale relational data available on multiple nodes in several data centers. This mechanism has a special query engine which can access data across all the nodes. We design and implement a process which is suitable to query tasks characteristics, to ensure efficient implementation of these tasks. The system uses direct data transfer between the query engine and each data center, thus to reduce time consumption caused by data transmission. In addition, we introduce an appropriate data caching mechanism to reserve partial remote data at a local data center and to avoid redundant transmission. Our approach improves the transmission efficiency and reduces the bandwidth requirements for networks and their costs. The test shows that the performance of the proposed system with and higher hit rate of cache data is higher more than the traditional collaborative query method.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134008115","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}
Hongsheng Wang, Zheng-hao Sun, Chongdao Wang, Q. Hao, J. Ni
{"title":"Review of Analytical Modeling and Computational Solutions for Thermo-electrostatics Effects of Slender Bodies","authors":"Hongsheng Wang, Zheng-hao Sun, Chongdao Wang, Q. Hao, J. Ni","doi":"10.1109/ICICSE.2015.24","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.24","url":null,"abstract":"Analysis method and computational solutions for thermo-and electrostatics effects of slender bodies often using multi-scale modeling, molecular dynamic simulation and data visualization technique. In the present work, we conduct a review of applying analytical methods such as BEM and FEM and molecular dynamics and computational methodologies to model the thermal and electrostatics effects on the slender body. A molecular dynamics simulation is employed to obtain logical relationships at nano-level in the modeling and simulation. The simulation is conducted on a cloud-based computing system in a heterogeneous computational environment. It helps overcome the technical challenges cause by multiple-scale physics model, and both computational and data intensive simulations.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124841428","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}