2013 International Conference on System Science and Engineering (ICSSE)最新文献_第7页

Study on constructing forensic procedure of digital evidence on smart handheld device 基于智能手持设备的数字证据取证程序构建研究

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614664

Chih-Pai Chang, Chun-Te Chen, Tsung-Hui Lu, I. Lin, Po-Tsun Huang, Hua-Shyun Lu

{"title":"Study on constructing forensic procedure of digital evidence on smart handheld device","authors":"Chih-Pai Chang, Chun-Te Chen, Tsung-Hui Lu, I. Lin, Po-Tsun Huang, Hua-Shyun Lu","doi":"10.1109/ICSSE.2013.6614664","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614664","url":null,"abstract":"As Information and Communication Technology grows the mobile communication devices became to necessary instrument in our daily living. According to DIGITIMES Research on 2012: the smart phone reached 635 millions a year and this number will be growing up 30% on 2013. It took 43.9% market share on overall cellular phone. By integrate operating system, camera, recorder, network, Bluetooth, calendar, multi-media texting and millions of Apps.; the powerful hardware and software of mobile devices provide highly mobility with powerful function to meet every kind of services and invite modern criminal use mobile devices as tools to achieve their activities. This study based on a guideline recommended by NSLEC (British National Specialist Law Enforcement Centre) and tried to propose a standard operating procedure of digital evidence forensic on smart phone; mean while, uses common handheld device forensic tools used by law enforcement departments as primary instruments to optimize and liabilities of digital evidences during preservation, collection, validation, identification, analysis, interpretation, documentation and presentation processes. Therefore strengthen the procedures used by forensic operator to complete the forensic processes quickly; and enhance the provable and authenticable of digital evidences.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"52 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131604508","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: 4

Admissibility of fuzzy support vector machine through loss function 基于损失函数的模糊支持向量机容许性

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614636

Chan-Yun Yang, G. Jan, Kuo-Ho Su

{"title":"Admissibility of fuzzy support vector machine through loss function","authors":"Chan-Yun Yang, G. Jan, Kuo-Ho Su","doi":"10.1109/ICSSE.2013.6614636","DOIUrl":"https://doi.org/10.1109/ICSSE.2013.6614636","url":null,"abstract":"In statistical decision theory, the admissibility is the first issue to fulfill the feasibility of a decision rule. Without the admissibility, the decision rule is impractical for discriminations. The study decomposes first the fuzzy support vector machine (fuzzy SVM), which is a crucial innovation due to its robust capability to resist the input contaminated noise, into a regularized optimization expression arg minf∈H Ω[f]+λRRemp[f] and exploits the regularization of loss function from the expression mathematically. The decomposition is beneficial to the programming of empirical risk minimization which uses the empirical risk instead of the true expected risk to learn a hypothesis. The empirical risk, composed elementally by the loss function, here indeed is the key for achieving the success of the fuzzy SVM. Because of the important causality, the study examines preliminarily the admissibility of loss functions which is recruited to form the fuzzy SVM. The examination is issued first by a loss function associated risk, called □-risk. By a step-by-step derivation of a sufficient and necessary condition for the □-risk to agree equivalently an unbiased Bayes risk, the admissibility of the loss function can then be confirmed and abbreviated as a simple rule in the study. Experimental chart examination is also issued simultaneously for an easy and clear observation to validate the admissibility of the loss function regularized fuzzy SVM.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121641060","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

Time sequence based lane-marking identification 基于时间序列的车道标记识别

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614677

Jiun-Hung Li, Chih-Li Huo, Yu-Hsiang Yu, Tsung-Ying Sun

引用次数: 0

Adaptive dynamic surface control for fault-tolerant multi-robot systems 容错多机器人系统的自适应动态曲面控制

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614696

Yeong-Hwa Chang, W. Chan, Cheng-Yuan Yang, C. Tao, S. Su

引用次数: 13

A classification system of lung nodules in CT images based on fractional Brownian motion model 基于分数布朗运动模型的CT肺结节分类系统

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614710

P. Huang, P. Lin, Cheng-Hsiung Lee, C. Kuo

引用次数: 17

Trajectory optimization and optimal control of vehicle dynamics under critically stable driving conditions 临界稳定工况下车辆动力学轨迹优化与最优控制

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614644

S. Khatab, A. Traechtler

引用次数: 1

Traffic condition monitoring using complex event processing 基于复杂事件处理的交通状况监测

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614645

B. Târnauca, D. Puiu, D. Damian, V. Comnac

引用次数: 7

Classification of slovak municipalities by neural networks with regard to the degree of digital literacy index 通过神经网络对斯洛伐克市政当局的数字素养指数进行分类

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614667

A. Michalíková, S. Volentierova

引用次数: 0

An instrument-based testing platform and fuel control algorithm verification for direct methanol fuel cell 基于仪器的直接甲醇燃料电池测试平台及燃料控制算法验证

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614651

Sheng-Hua Chen, Ya-Chien Chung, Tzyy-Yih Yang, Yu-Jen Chiu, Jin-Yih Lin, C. Chi

引用次数: 0

A Petri nets and genetic algorithm based optimal scheduling for job shop manufacturing systems 基于Petri网和遗传算法的作业车间制造系统最优调度

2013 International Conference on System Science and Engineering (ICSSE) Pub Date : 2013-07-04 DOI: 10.1109/ICSSE.2013.6614640

A. Yao, Y. Pan

引用次数: 8