2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)最新文献_第5页

A majority voting technique for Wireless Intrusion Detection Systems 无线入侵检测系统中的多数投票技术

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT) Pub Date : 2016-04-29 DOI: 10.1109/LISAT.2016.7494133

Bandar Alotaibi, K. Elleithy

引用次数: 33

A framework for Wireless Sensor Network security 无线传感器网络安全框架

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT) Pub Date : 2016-04-29 DOI: 10.1109/LISAT.2016.7494109

B. Beheshti

引用次数: 3

Some challenges in forensic fingerprint classification and interpretation 法医指纹分类与解释中存在的问题

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT) Pub Date : 2016-04-29 DOI: 10.1109/LISAT.2016.7494096

Qinghai Gao, Daniel Pinto

{"title":"Some challenges in forensic fingerprint classification and interpretation","authors":"Qinghai Gao, Daniel Pinto","doi":"10.1109/LISAT.2016.7494096","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494096","url":null,"abstract":"The usage of fingerprints is no longer limited to crime investigation. And automated fingerprint identification systems have been developed for a variety of applications. However, in law enforcement agency manual categorization and analysis are still an indispensible part of fingerprint operation mainly for the following two reasons: (1) Automated fingerprint classification and identification systems are far from perfection. They can help to expedite the identification process, but cannot completely replace human fingerprint experts in terms of identification accuracy; (2) Fingerprint classification can help speed up the automated searching process as fingerprint databases become overwhelmingly large. In this paper, we review existing classification systems, including Henry, Vucetich, Battley, and NCIC classification systems, and look into the challenges of classifying certain ambiguous fingerprints and interpreting latent prints. By reviewing literature and a representative case of fingerprint misidentification, we analyze the objective and subjective factors contributing to erroneous and inconsistent identification.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130590436","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

Usage of computer networking in the real time network laboratory 计算机网络在实时网络实验室中的应用

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT) Pub Date : 2016-04-29 DOI: 10.1109/LISAT.2016.7494158

Afroz Babu Patnam, Tarik El Taeib

引用次数: 1

Network intrusion detection using hardware techniques: A review 使用硬件技术的网络入侵检测:综述

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT) Pub Date : 2016-04-29 DOI: 10.1109/LISAT.2016.7494100

Razan Abdulhammed, M. Faezipour, K. Elleithy

引用次数: 10

Development of efficient obstacle avoidance and line following mobile robot with the integration of fuzzy logic system in static and dynamic environments 基于模糊逻辑系统的静态和动态环境下高效避障和循线移动机器人的研制

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT) Pub Date : 2016-04-29 DOI: 10.1109/LISAT.2016.7494139

M. Almasri, K. Elleithy, Abrar Alajlan

引用次数: 15

A review energy-efficient task scheduling algorithms in cloud computing 云计算中节能任务调度算法综述

2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT) Pub Date : 2016-04-29 DOI: 10.1109/LISAT.2016.7494108

Saleh Atiewi, S. Yussof, M. Ezanee, Muder Almiani

{"title":"A review energy-efficient task scheduling algorithms in cloud computing","authors":"Saleh Atiewi, S. Yussof, M. Ezanee, Muder Almiani","doi":"10.1109/LISAT.2016.7494108","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494108","url":null,"abstract":"Cloud computing is a model for delivering information technology services, wherein resources are retrieved from the Internet through web-based tools and applications instead of a direct connection to a server. The capability to provision and release cloud computing resources with minimal management effort or service provider interaction led to the rapid increase of the use of cloud computing. Therefore, balancing cloud computing resources to provide better performance and services to end users is important. Load balancing in cloud computing means balancing three important stages through which a request is processed. The three stages are data center selection, virtual machine scheduling, and task scheduling at a selected data center. User task scheduling plays a significant role in improving the performance of cloud services. This paper presents a review of various energy-efficient task scheduling methods in a cloud environment. A brief analysis of various scheduling parameters considered in these methods is also presented. The results show that the best power-saving percentage level can be achieved by using both DVFS and DNS.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121517508","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: 16