2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE)最新文献

A multi-layer network defense system using artificial immune system 一种利用人工免疫系统的多层网络防御系统

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6633939

M. Elhaj, Hussam Hamrawi, Mamoun M. A. Suliman

{"title":"A multi-layer network defense system using artificial immune system","authors":"M. Elhaj, Hussam Hamrawi, Mamoun M. A. Suliman","doi":"10.1109/ICCEEE.2013.6633939","DOIUrl":"https://doi.org/10.1109/ICCEEE.2013.6633939","url":null,"abstract":"Artificial immune systems are computational intelligent systems inspired by human biological immune systems. The biological immune system can detect and defend the human body against different kinds of intruders. These systems are distributed, adaptive and multilayered in nature, and the proposed artificial immune system incorporates these powerful and diverse set of characteristics in designing a network security system. Recent advances in biological immune systems showed that the innate part of the system plays a greater role than previously thought. In this paper, this recent development is the corner stone of the new multi-layer model of artificial immune systems. We describe a work in progress to construct a multi-layered defense system composed of two main layers, innate and adaptive layers. This paper describes the multi-layered system layers and components, gives a detailed justification and design considerations of the system components, and shows first results from the innate layer of the system. The preliminary results show that about 70% of the traffic can be dealt with before entering the adaptive layer of the immune system.","PeriodicalId":256793,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115463061","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: 14

Authenticated key agreement protocol for virtual private network based on certificateless cryptography 基于无证书加密的虚拟专用网认证密钥协议

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6633946

Abeer E. W. Eldewahi, E. Basheir

引用次数: 1

Oil price prediction using ensemble machine learning 基于集成机器学习的油价预测

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6634021

L. Gabralla, R. Jammazi, A. Abraham

引用次数: 35

Acoustic-support vector machines approach to detect spoken Arabic language 声学支持向量机方法检测阿拉伯语口语

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6633994

Mohammed Eltayeb, M. E. Mustafa

{"title":"Acoustic-support vector machines approach to detect spoken Arabic language","authors":"Mohammed Eltayeb, M. E. Mustafa","doi":"10.1109/ICCEEE.2013.6633994","DOIUrl":"https://doi.org/10.1109/ICCEEE.2013.6633994","url":null,"abstract":"Spoken Language detection is the process of either accepting or rejecting a language identity from its sample speech. The process is essential as it represents the first phase for a complete multilingual-enabled speech processing applications. However, most efforts are focused on European languages and the research is relatively few for other languages such as Arabic. This is mainly due to the lack of tools and resources, e.g., Arabic speech corpora. Furthermore, the majority of the proposed approaches for Arabic detection are language-dependent rather than independent ones, in which the model uses only acoustic properties of speech signal. This paper describes an ongoing research to develop a language independent Modern Standard Arabic (MSA) detector, which is a binary Support Vector Machines (SVM) classifier that is based on speech acoustic features. In that context, the classifier is used to classify speech utterance into either classA, which represents the Arabic language or classNA to denote non-Arabic languages. As most currently available speech corpora are license restricted and their languages are selected based on population or geographical distribution, a new multilingual speech corpus with six languages is being created. Languages in this created corpus have some sort of similarity with MSA, e.g., Arabic and Hebrew. This property adds another dimension of complexity to the classification task, but it is essential as one of the major goal of this research is to measure whether the efficiency of the MSA model will be preserved on the same level when tested with other languages that have some sort of relationship with the MSA or other Arabic dialect. This will be referred to in this paper as stability-against-similarity of the model.","PeriodicalId":256793,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130610312","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: 3

Enhancing haptic representation for 2D objects 增强2D对象的触觉表现

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6633991

Abdelkareem Bedri, W. Harwin

引用次数: 0

Extreme programming applied in a large-scale distributed system 极限编程在大规模分布式系统中的应用

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6633979

Elmuntasir Abdullah, El-Tigani B. Abdelsatir

引用次数: 12

Discrimination of four classes in Brain Computer Interface based on motor imagery 基于运动意象的脑机接口四类识别

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6633974

Tasneem Mamhoud Salih, Omer Hamid

{"title":"Discrimination of four classes in Brain Computer Interface based on motor imagery","authors":"Tasneem Mamhoud Salih, Omer Hamid","doi":"10.1109/ICCEEE.2013.6633974","DOIUrl":"https://doi.org/10.1109/ICCEEE.2013.6633974","url":null,"abstract":"This study investigated the classification of multiclass motor imagery for electroencephalogram (EEG)-based Brain-Computer Interface (BCI) using independent component analysis (ICA), principle component analysis (PCA) and support vector machine (SVM) techniques. The dataset used is available on BCI competition IV that contains EEG signals for 9 subjects who performed left hand, right hand, foot and tongue motor imageries (MI). The ICA technique appears well suited for performing source separation in domains where the number of independent signal sources is equal to the number of electrodes or sensors, which is not applicable in the case of EEG sources, since we have no idea about the effective number of statistically independent brain signals related to the EEG recorded from the scalp, also we proved that right hand can activate the same areas of left hand in the brain, while foot can activate the same areas of hands and tongue. Thus we did not have high expectations for separating the same signal sources in all sessions and this justify the overall accuracy of 33±2% that we got when using the combination of ICA and SVM techniques.","PeriodicalId":256793,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132053767","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: 3

Multi document summarization based on cross-document relation using voting technique 基于投票技术的跨文档关系多文档摘要

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6634009

Y. J. Kumar, N. Salim, Albaraa Abuobieda, A. Tawfik

引用次数: 12

Fuzzy academic advising system for on probation students in colleges of applied sciences — Sultanate of Oman 应用科学学院见习学生的模糊学业指导系统——阿曼苏丹国

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6633965

Fadlelmoula Mohamed Baloul, P. Williams

引用次数: 3

Compensation technique and power quality improvement in multiphase distribution system 多相配电系统的补偿技术与电能质量改善

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI: 10.1109/ICCEEE.2013.6634001

Shashank Srivastava, Nitin Singh

引用次数: 1