2015 Long Island Systems, Applications and Technology最新文献

Enhancing performance of Hadoop and MapReduce for scientific data using NoSQL database 利用NoSQL数据库增强Hadoop和MapReduce对科学数据的性能

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160180

Hamoud H. Alshammari, H. Bajwa, JeongKyu Lee

引用次数: 7

Detection of Trojan Horses by the analysis of system behavior and data packets 通过分析系统行为和数据包来检测特洛伊木马

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160176

Vamshi Krishna Gudipati, Aayush Vetwal, Varun Kumar, Anjorin Adeniyi, Abdel-shakour Abuzneid

引用次数: 6

Motion model binary switch for MonoSLAM MonoSLAM运动模型二进制开关

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160210

Akin Tatoglu, K. Pochiraju

{"title":"Motion model binary switch for MonoSLAM","authors":"Akin Tatoglu, K. Pochiraju","doi":"10.1109/LISAT.2015.7160210","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160210","url":null,"abstract":"Current Monocular Simultaneous Localization and Mapping (MonoSLAM) methodologies use constant velocity and smooth motion assumptions. If the motion consists of rapid accelerations, decelerations or stops, the position estimates become erroneous and unstable. Mobile robots require frequent stops due to mission dictated or safety reasons. With the objective of using MonoSLAM to localize a mobile robot, we determined the effectiveness of trajectory estimation for a typical robot moving with constant velocity and stopping to execute missions. Experiments were performed with a camera mounted on a 3-axis translational robot and several path profiles with brief stops were executed. The trajectory estimated with a MonoSLAM algorithm is compared with the known motion profile. As the stop causes significant error and drift in the position estimates, we modified the constant velocity motion model to incorporate a stop detection method. An optical flow based stop detection model was formulated and implemented in conjunction with MonoSLAM. Velocity update is modified when a stop or start is detected by optical flow. By adaptively switching between constant velocity and stop models, the trajectory estimate is seen to be more accurate and stable after an intermittent stop. Details of the adaptive switching method and the performance of the modified MonoSLAM are described in this paper.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125755254","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

Multi-sensor based collision avoidance algorithm for mobile robot 基于多传感器的移动机器人避碰算法

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160181

Abrar Alajlan, M. Almasri, K. Elleithy

引用次数: 19

Extending XACML to express and enforce laws and regulations privacy policies 扩展XACML以表达和执行法律法规隐私策略

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160190

Tariq Alshugran, J. Dichter, A. Rusu

引用次数: 5

Hadoop eco system for big data security and privacy Hadoop生态系统的大数据安全和隐私

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160211

Pradeep Adluru, Srikari Sindhoori Datla, Xiaowen Zhang

引用次数: 28

Selective forwarding detection (SFD) in wireless sensor networks 无线传感器网络中的选择性转发检测(SFD)

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160207

Naser Alajmi, K. Elleithy

{"title":"Selective forwarding detection (SFD) in wireless sensor networks","authors":"Naser Alajmi, K. Elleithy","doi":"10.1109/LISAT.2015.7160207","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160207","url":null,"abstract":"Security is the critical subject in wireless sensor networks. Therefore, WSNs are susceptible to several types of security attacks. One reason to attack sensor networks is the limited capacity of sensor nodes. The security attacks could affect the most significant applications in WSNs area such as military surveillance, traffic monitor, and healthcare. Thus, there are different types of detection approaches against security attacks on the network layer in WSNs. Also, there are severe constraints on sensor nodes like reliability, energy efficiency, and scalability, which affect the security in WSNs. Since the sensor nodes have limited capabilities for most of these constraints, a selective forwarding attack is difficult to detect in the networks. Malicious nodes in the selective forwarding attack, work as normal nodes. However, it attempts to find the sensitive messages and drop them before sending the packet to other nodes. In order to keep this type of attacks away from networks, we propose a multi layers approach (SFD) that preserves the safely of data transmission between sensor nodes while detecting the selective forwarding attack. Furthermore, the approach includes reliability, energy efficiency, and scalability.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115001358","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

Initiated decoy states in quantum key distribution protocol by 3 ways channel 量子密钥分配协议中由三路信道发起的诱饵状态

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160178

Abdulbast A. Abushgra, K. Elleithy

引用次数: 12

An empirical fingerprint framework to detect Rogue Access Points 一个经验指纹框架，以检测流氓接入点

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160206

Bandar Alotaibi, K. Elleithy

引用次数: 20

IPLMS: An intelligent parking lot management system IPLMS:智能停车场管理系统

2015 Long Island Systems, Applications and Technology Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160219

Jiameng Wang, Stefanie Gebara, Zhengyi Sun, Qi Wu, Keqin Zong, Hao Sun, A. Farajidavar

{"title":"IPLMS: An intelligent parking lot management system","authors":"Jiameng Wang, Stefanie Gebara, Zhengyi Sun, Qi Wu, Keqin Zong, Hao Sun, A. Farajidavar","doi":"10.1109/LISAT.2015.7160219","DOIUrl":"https://doi.org/10.1109/LISAT.2015.7160219","url":null,"abstract":"In this paper, we are introducing an intelligent valet parking management system that guides the cars to autonomously park within a parking lot. The IPLMS for Intelligent Parking Lot Management System, consists of two modules: 1) a model car with a set of micro-controllers and sensors which can scan the environment for suitable parking spot and avoid collision to obstacles, and a Parking Lot Management System (IPLMS) which screens the parking spaces within the parking lot and offers guidelines to the car. The model car has the capability to autonomously maneuver within the parking lot using a fuzzy logic algorithm, and execute parking in the spot determined by the IPLMS, using a parking algorithm. The car receives the instructions from the IPLMS through a wireless communication link. The IPLMS has the flexibility to be adopted by any parking management system, and can potentially save the clients time to look for a parking spot, and/or to stroll from an inaccessible parking space. Moreover, the IPLMS can decrease the financial burden from the parking lot management by offering an easy-to-install system for self-guided valet parking.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126361103","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: 9