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IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology最新文献

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Computing of autocorrelation of time processes based on power series 基于幂级数的时间过程自相关计算
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223172
Lishi Zhang, Likang Yin
{"title":"Computing of autocorrelation of time processes based on power series","authors":"Lishi Zhang, Likang Yin","doi":"10.1109/ICSAI.2012.6223172","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223172","url":null,"abstract":"There are several ways to compute the autocorrelation and autocovariance matrixs of causal ARMA(p, q) process[1], The multiple time series analysis[2] shows that the computing process is very complicated in the multiple cases, in practice, with the backward shift operator, the autoregressive operator and moving average operator, time series can be transformed into polynomial which are usually related to the power series, in this paper, we demonstrate the approaches to use the geometrics series to compute autocorrelation function.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79500555","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
Retrieval of degraded Chinese document based on fuzzy coding strategy 基于模糊编码策略的中文退化文档检索
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223602
Yong Xia, Xuhui Jia, Kuanquan Wang
{"title":"Retrieval of degraded Chinese document based on fuzzy coding strategy","authors":"Yong Xia, Xuhui Jia, Kuanquan Wang","doi":"10.1109/ICSAI.2012.6223602","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223602","url":null,"abstract":"For the sake of the low recognition rate for degraded Chinese document, the performance of retrieval is not good if directly based on OCR result. This paper presents a new way to improve the performance of retrieval by fuzzy coding strategy. Lots of character classes with similar shapes are clustered and are indexed by pseudo code. For ease of test, this paper also presents a way to generate ground-truth of imaged document and synthesized degraded document image. A true OCR text collection and two synthesized document image collections are used for performance evaluation, and the result confirms the validation of our method.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78625530","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 information fusion on fault diagnosis for complex electric equipment 信息融合在复杂电气设备故障诊断中的应用
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223176
Gao Qing, Li Ming, Liang Guanhui
{"title":"Application of information fusion on fault diagnosis for complex electric equipment","authors":"Gao Qing, Li Ming, Liang Guanhui","doi":"10.1109/ICSAI.2012.6223176","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223176","url":null,"abstract":"Taking complex electric equipment for engineering background, this paper researches the application of information fusion in fault diagnosis. First, this paper makes a brief introduce about the concept and availability of information fusion technology in fault diagnosis, then for the requirement of practical engineering application, it gives a describe about the hierarchical model and the method correspond to different layer of information fusion in fault diagnosis.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78350739","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
Air defense threat assessment based on dynamic Bayesian network 基于动态贝叶斯网络的防空威胁评估
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223112
Yi Wang, Yuan Sun, Ji-Ying Li, Sun-Tao Xia
{"title":"Air defense threat assessment based on dynamic Bayesian network","authors":"Yi Wang, Yuan Sun, Ji-Ying Li, Sun-Tao Xia","doi":"10.1109/ICSAI.2012.6223112","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223112","url":null,"abstract":"By understanding the process of threat assessment, the evaluation parameters, which affect threat level, have been analyzed comprehensively. Then the threat assessment of the Bayesian network model has been established. The dynamic Bayesian network reasoning method is used to estimate threat so that the objective factors and individual characteristics of different time slices of the same characteristics can correct each other. This method overcomes the subjectivity and uncertainty of expert assessment partially. Simulation results show that the threat level based on dynamic Bayesian network evaluation algorithm is an effective assessment algorithm, the results can more accurately reflect the true source of the threat level of threat.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73591858","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: 20
A context dependency relation pattern based algorithm for term similarity calculation 一种基于上下文依赖关系模式的术语相似度计算算法
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223091
Ji'an Xu, Qingliang Zhang
{"title":"A context dependency relation pattern based algorithm for term similarity calculation","authors":"Ji'an Xu, Qingliang Zhang","doi":"10.1109/ICSAI.2012.6223091","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223091","url":null,"abstract":"In this paper, we put forward a new term similarity algorithm which automatically extracts context patterns by sentence dependency analysis, and then calculates term similarity by mapping those patterns. The algorithm provides better way to extract term context patterns with stronger context expression ability than current algorithms. Meanwhile, the length of patterns is modest, which makes it convenient to be matched. We also evaluate the algorithm on the basis of gene engineering field experiment data set. Experiment result shows that the algorithm evidently improves the calculating performance.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90154245","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 novel visual intrusion detection model based on projection pursuit 一种新的基于投影追踪的视觉入侵检测模型
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223509
Ji-fen Liu
{"title":"A novel visual intrusion detection model based on projection pursuit","authors":"Ji-fen Liu","doi":"10.1109/ICSAI.2012.6223509","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223509","url":null,"abstract":"Visualized information is an useful technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human user. This paper presents a novel visual intrusion detection classification model based on projection pursuit, which searches for the optimal projection direction by maximizing a projection index, projects network connection records from high-dimensional space into 1-dimensional space, and uses the projection values on the best direction to analyze the data structure and classify the type of intrusion. The processes and results of classification can be visualized by a scatter chart in cartesian co-ordinates. The experiments on KDD CUP 1999 dataset show that this model not only has good performance, but also makes the process of intrusion detection understandably.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83452430","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 kinematic analysis of the cartwheel stretched salto backward with 3 1/2 turn (1170 °) off in Zhang Zhongbo's vault 张中波跳马中后身侧翻伸展跳跃的运动学分析
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223164
Gong Mingxin, Dong Fei, Wang Lejun
{"title":"A kinematic analysis of the cartwheel stretched salto backward with 3 1/2 turn (1170 °) off in Zhang Zhongbo's vault","authors":"Gong Mingxin, Dong Fei, Wang Lejun","doi":"10.1109/ICSAI.2012.6223164","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223164","url":null,"abstract":"Objective: By analyzing the movement kinematic of Zhang Zhongbo two straight vault cartwheel flip twist 1170 °, this paper focus on of technical characteristics of the action, in order to provide a theoretical basis and technical reference to the vault dymnasts and coachers. Methods: Analysis Zhang Zhongbo two exercises for image to obtain kinematic parameters. Results and Conclusion: the completion quality of the second movement Z2 is better than the first one Z1; Z2 complete 1125 ° swivel, 45 ° more complete than Z1; highest point of gravity center of Z2 is higher than the Z1, so is the average angular velocity greater twist; Z2 do better in the process control of body position than Z1, legs together more quickly, arms bent hold more timely.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81410363","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
Studies of dynamic user-defined table technology and its apply in teaching 动态自定义表技术及其在教学中的应用研究
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223185
Pan Qing-xian, Chen Kai, Tong Xiangrong
{"title":"Studies of dynamic user-defined table technology and its apply in teaching","authors":"Pan Qing-xian, Chen Kai, Tong Xiangrong","doi":"10.1109/ICSAI.2012.6223185","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223185","url":null,"abstract":"We know that there are some disadvantages in dealing with flexible and changeable businesses by traditional database processing. For example, structures in the database are unclearly, store structure on the table is difficulty in the database and etc. This paper puts forward the dynamic data processing technique, which includes dynamic establishing database table structure, dynamic storage data and dynamic statistical analysis and so on. It has been succeed in Teachers' Evaluation at some universities, which improves the flexibility, extendibility and high-efficiency of the Teachers' Evaluation System.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77242666","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 experimental GPU global memory performance estimation and optimization 一个实验性的GPU全局内存性能估计与优化
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2012-05-19 DOI: 10.1109/ICSAI.2012.6223155
Zhu Junfeng, C. Gang, Zhang Keliang, Wu Baifeng
{"title":"An experimental GPU global memory performance estimation and optimization","authors":"Zhu Junfeng, C. Gang, Zhang Keliang, Wu Baifeng","doi":"10.1109/ICSAI.2012.6223155","DOIUrl":"https://doi.org/10.1109/ICSAI.2012.6223155","url":null,"abstract":"The enormous computational power available in modern graphics processing units (GPUs) has enabled the widely use of them for general-purpose applications. However, manual development of high-performance parallel codes for GPUs is still very challenging. In order for improving GPGPU application performance by efficiently using GPU global memory, we extend the polyhedral model to capture memory access patterns inside the source programs. We determine the global memory accesses are coalesced or not. We also estimate the memory performance of a GPGPU kernel, with the purpose of eliminating the uncoalesced global memory accesses. Experimental results show that that the present global memory performance model can estimate the global memory performance of these two applications relative accurately and the present global memory optimization methods can significantly improve performance.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85805932","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
Gradient-based high precision alignment of cryo-electron subtomograms. 基于梯度的低温电子亚层图高精度对准。
IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology Pub Date : 2011-01-01 DOI: 10.1109/ISB.2011.6033166
Min Xu, Frank Alber
{"title":"Gradient-based high precision alignment of cryo-electron subtomograms.","authors":"Min Xu,&nbsp;Frank Alber","doi":"10.1109/ISB.2011.6033166","DOIUrl":"https://doi.org/10.1109/ISB.2011.6033166","url":null,"abstract":"<p><p>Whole cell cryo-electron tomography emerges as an important component for structural system biology approaches. It allows the localization and structural characterization of macromolecular complexes in near living conditions. However, the method is hampered by low resolution, missing data and low signal-to-noise ratio (SNR). To overcome some of these difficulties one can align and average a large set of subtomograms. Existing alignment methods are mostly based on an exhaustive scanning and sampling of all but discrete relative rotations and translations of one subtomogram with respect to the other. In this paper, we propose a gradient-guided alignment method based on two subtomogram similarity measures. We also propose a stochastic parallel optimization that increases significantly the efficiency for the simultaneous refinement of a set of alignment candidates. Results on simulated data of model complexes and experimental structures of protein complexes show that even for highly distorted subtomograms and with only a small number of very sparsely distributed initial alignment seeds, our method can accurately recover true transformations with a significantly higher precision than scanning based alignment methods.</p>","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ISB.2011.6033166","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32540164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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