2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)最新文献_第5页

Improving intrusion detection system detection accuracy and reducing learning time by combining selected features selection and parameters optimization 将所选特征选择与参数优化相结合，提高入侵检测系统的检测精度，减少学习时间

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893606

Bisyron Wahyudi Masduki, K. Ramli

{"title":"Improving intrusion detection system detection accuracy and reducing learning time by combining selected features selection and parameters optimization","authors":"Bisyron Wahyudi Masduki, K. Ramli","doi":"10.1109/ICCSCE.2016.7893606","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893606","url":null,"abstract":"IDS capability in detecting an attacks is highly dependent on the accuracy of attack detection which usually is represented by the least number of false alarms. In this work we simplify the large network dataset by selecting only the most important and influential features in the dataset to increase the IDS performance and accuracy. The creation of smaller dataset is aimed to decrease time for training the SVM machine learning in detecting attacks. This work designed and built a prototype of IDS equipped with machine learning models to improve accuracy in detecting DoS and R2L attacks. Machine-learning algorithms is added to recognize specific characteristics of the attack at the national Internet network. New methods and techniques developed by combining feature selection and parameter optimization algorithm are then implemented in the Internet monitoring system. Through experiment and analysis, we find out that for DOS attacks the proposed approach improved accuracy for the detection and increased in speed on training and testing phase. Even though limited and appropriate selection of parameters slightly decrease the accuracy in the detection of R2L attacks but our approach significantly increases the speed of the training and testing process","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"62 1","pages":"397-402"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73188262","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

Optimizing support vector machine parameters using cuckoo search algorithm via cross validation 基于交叉验证的布谷鸟搜索算法优化支持向量机参数

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893553

Akkawat Puntura, N. Theera-Umpon, S. Auephanwiriyakul

{"title":"Optimizing support vector machine parameters using cuckoo search algorithm via cross validation","authors":"Akkawat Puntura, N. Theera-Umpon, S. Auephanwiriyakul","doi":"10.1109/ICCSCE.2016.7893553","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893553","url":null,"abstract":"Support vector machine is one of the most popular techniques for solving classification problems. It is known that the choice of parameters directly affects its performance. This problem can be solved using a search algorithm which is suitable optimization technique for the parameter optimization. In this research, we propose a method to determine the optimal parameters for support vector machines using the cuckoo search algorithm via maximization of the average accuracy from k-fold cross validation. Our experimental results show that the cuckoo search algorithm provides very good convergence rate and outcomes. The comparison between its performance and another population based optimization namely the particle swarm optimization is also performed. It shows that the cuckoo search algorithm yields better convergence rate and outcomes than the particle swarm optimization in most datasets. It implies that the mechanism of cuckoo search algorithm is efficient for this parameter optimization problem and is more effective than the particle swarm optimization in this particular problem.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"37 1","pages":"102-107"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74046495","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: 8

Hand tremor analyzer using accelerometry for preliminary diagnosis, classification and monitoring of selected movement disorders 手震颤分析仪使用加速度计初步诊断，分类和监测选定的运动障碍

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893605

Ramon G. Garcia, A. Ballado, A. Paglinawan, C. Paglinawan, Regina B. Gavino, Bruce Aeron J. Magcamit, J. C. Miranda, Mario F. Tiongson

引用次数: 6

Analysis of consistence level using new method of statistical transformation approach in multi-spectral fluctuation pattern 基于统计变换的多光谱波动模式一致性分析

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893580

Melinda, A. Tamsir, Basari, D. Gunawan

{"title":"Analysis of consistence level using new method of statistical transformation approach in multi-spectral fluctuation pattern","authors":"Melinda, A. Tamsir, Basari, D. Gunawan","doi":"10.1109/ICCSCE.2016.7893580","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893580","url":null,"abstract":"In this study, quite new method of statistical approach which is known as TST (tamsir statistical transformation) is introduced. TST is applied in order to obtain a consistence level of multi-spectral fluctuation pattern of HHF (high high-frequency). This is done because the data from the measurement results have large amount of data and have not been consistent yet. Therefore, it is essential to have quite good method to treat the data that can bridge the data processing previously. There are several parameters of the data analysis, which will be discussed, such as: the value of Total-C (total value comparison), consistence of fluctuation (CF), consistence of variance to mean ratio (C-VMR) and consistence of value (CV). Besides, the data are broken down into several groups of data. This is done because it is fruitful to seek the best group that has preferable consistence compare to others. The results obtained show that the statistical approach can determine the consistent results of data grouping for large data size. Moreover, the new approach of TST can accommodate to compute the consistence level of multi-spectral fluctuation pattern.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"55 1","pages":"251-255"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85930409","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: 6

Load management for Voltage Stability control in multi-area power system 多区域电力系统电压稳定控制的负荷管理

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893628

S. A. S. Mustaffa, I. Musirin, Muhammad Murtadha Othman, R. H. Salimin

引用次数: 8

In-situ particle monitor using virtual metrology system for measuring particle contamination during plasma etching process 采用虚拟测量系统对等离子体蚀刻过程中的粒子污染进行现场监测

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893629

M. F. Abdullah, M. K. Osman, Noratika Mohammad Somari, A. I. C. Ani, Sooria Pragash Rao S. Appanan, Loh Kwang Hooi

{"title":"In-situ particle monitor using virtual metrology system for measuring particle contamination during plasma etching process","authors":"M. F. Abdullah, M. K. Osman, Noratika Mohammad Somari, A. I. C. Ani, Sooria Pragash Rao S. Appanan, Loh Kwang Hooi","doi":"10.1109/ICCSCE.2016.7893629","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893629","url":null,"abstract":"This paper present an analysis on in-situ particle monitor using virtual metrology system for particle contamination measurement. In the process of manufacturing semiconductor devices, detecting particle contamination in process tools is a vital factor for determining the product yield. In-situ monitoring of particle contamination can be as accurate and cost effective method of contamination control depend on type of particle monitoring sensor selection and its data used for virtual metrology. In this study, data samples are obtained from three system; Statistical Process Control (SPC) data base, Advanced Process Control (APC) data base and Hamamatsu Multiband Plasma Process Monitor system. Then, an artificial neural network based classifier called multilayer perceptron (MLP) network is applied to measure the particle contamination level from the given dataset. The performance of MLP network is compared using two different algorithms namely Levernberg-Marquad (LM) and resilient back-propagation (RP) algorithm. Based on the simulation results, it can be concluded that the MLP network using LM algorithm gives the best regression result of 0.999 and 0.54 during the training and testing respectively. The outcome of this project is in-situ particle monitor would be able to detect particle in the oxide etch chamber as alternative for Surf-scan methodology for each processed wafers.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"7 1","pages":"507-511"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79348750","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

Eye movement activity that affected the eye signals using electrooculography (EOG) technique 利用眼电图技术研究影响眼信号的眼动活动

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893551

N. Noor, Muhammad Azhan Muzammil Mustafa

{"title":"Eye movement activity that affected the eye signals using electrooculography (EOG) technique","authors":"N. Noor, Muhammad Azhan Muzammil Mustafa","doi":"10.1109/ICCSCE.2016.7893551","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893551","url":null,"abstract":"The purpose of project is to study the effect of the eye movement activity using electrooculography technique which are open, close and blinking the eye as well as reading activity. The electrooculography is a technique that measured the corneo-retinal standing potential between front and back of the human eye. This resulting signal is called the electrooculogram (EOG). In order to collect the eye signal, the circuit is developed by Arduino Olimexino 328 circuit. The circuit is interfaced between Arduino and MATLAB software. Then, the Ag/AgCl electrodes are used to detect the EOG signal by placing the electrodes near the face. The signals are recorded and analysed based on four activities of eye movement. In this project, there are 5 subjects involve which are 2 males and 3 females. The results from these activities can be differentiated between the others signals such as upward, downward, rightward and leftward. These EOG signals can be used as a communication tools between human and machine such as wheelchair robot and rehabilitation purposes by developing the algorithm.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"12 1 1","pages":"91-95"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82616435","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

Service network security management (SNSM) framework, a solution to SOSE security challenge 业务网络安全管理(SNSM)框架，解决soe的安全挑战

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893576

M. Ahmed, S. Letchmunan, A. S. Baharudin

{"title":"Service network security management (SNSM) framework, a solution to SOSE security challenge","authors":"M. Ahmed, S. Letchmunan, A. S. Baharudin","doi":"10.1109/ICCSCE.2016.7893576","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893576","url":null,"abstract":"SOSE is a novel software development paradigm that results in flexible, loose-coupled and end-to-end applications. However, the adoption of this innovation is slowed by security challenge. Apparently, the use of only TLS (transport layer security) security technique for SOSE systems is inappropriate because it provides only point-to-point security support to the communicating parties. While, an end-to-end security mechanism is necessary to effectively secure SOSE applications. Consequently, this paper provides SNSM framework, a solution to SOSE security challenge by integrating many technologies including OASIS's web service security standard, W3C's XML digital signature and XML encryption standards into SOAP envelope to ensure end-to-end security at the message level. In the implementation of the framework, proxy service, a virtual service hosted in the Enterprise Service Bus (ESB) was used to enforce security services as a Quality of service (QOS) requirement. The results show that SNSM framework recorded 10 millisecond average response time above unsecured service, whereas, the TLS secured service has the largest average response time.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"82 1","pages":"228-233"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83250202","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

Pressure history in hydrodynamic ram (HRAM) by using FEM-SPH approach 基于FEM-SPH方法的水动力ram压力历史研究

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893554

M. Aziz, W. Kuntjoro, N. David

引用次数: 1

Design and development: Actuator of powered knee orthosis a prototype 设计与开发:动力式膝关节矫形器执行器原型

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893641

A. S. Yusof, A. Che-Ani, Z. Hussain, N. Hamzah, S. Z. Yahaya

引用次数: 3