IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology最新文献_第3页

Server based control flocking for aerial-systems 基于服务器的航空系统控制群集

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871783

Sami Oweis, S. Ganesan, K. Cheok

{"title":"Server based control flocking for aerial-systems","authors":"Sami Oweis, S. Ganesan, K. Cheok","doi":"10.1109/EIT.2014.6871783","DOIUrl":"https://doi.org/10.1109/EIT.2014.6871783","url":null,"abstract":"Flocking is a term that describes the behavior of a group of birds (a flock) in flight, or the swarming behavior of insects. This paper presents detailed information about how to use the flocking techniques to control a group of embedded controlled systems “Boids” such as ground systems (robotic vehicles/ swarm robots) in 2D and/or aerial systems (quadrotors) in 3D. Each one of these systems moves inside/outside of a building collectively to reach a target. This paper presents flocking behavior implemented on a server based control, which will process each of the boids properties e.g. position, speed & target. Subsequently the server will assign the appropriatee move to a specific boid. The calculated information will be used locally to control and direct the movements/flocking for each boid in the group. A simulation technique and detailed flow chart is presented. In addition to the famous Reynolds' Rules for flocking two other rules are presented; one for targeting and another for avoiding obstacles. The targeting rule was implemented to ensure that the flock moves collectively towards a common target; it was implemented by creating a target velocity parameter. The avoiding obstacles rule was implemented to ensure that the flock doesnt collide with obstacles that they could be in the path; it was implemented by creating an avoiding velocity parameter.","PeriodicalId":92209,"journal":{"name":"IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology","volume":"2000 1","pages":"314-319"},"PeriodicalIF":0.0,"publicationDate":"2014-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88294798","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

A metamaterial-based multiband phase shifter 一种基于超材料的多波段移相器

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871820

M. Maassel, B. Braaten, D. Rogers

引用次数: 6

FPGA interconnect modeling for lifetime failure detection 用于寿命失效检测的FPGA互连建模

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871777

K. Vittala, S. Vemuru, M. Niamat

引用次数: 2

Audio watermarking using bit modification of voiced or unvoiced segments 使用位修改浊音或非浊音片段的音频水印

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871813

Dongjian Cai, K. Gopalan

引用次数: 2

Kalman filters for reducing error in RFID real-time localization systems 用于减少RFID实时定位系统误差的卡尔曼滤波器

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871785

Benjamin Sanda, I. Abdel-Qader, A. Akanmu

引用次数: 3

An image hiding algorithm using Chinese remainder theorem with reduced distortion 基于中国剩余定理的图像隐藏算法

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871769

Kaveh Ahmadi, E. Salari

引用次数: 3

A survey of energy potential in Pakistan for smart grid implementation 巴基斯坦智能电网实施的能源潜力调查

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871805

S. M. Ali, A. Rashid, Chaudhary Arshad Mehmood, Rahat Nasim, M. Jawad, S. Usman, Sikandar Khan, Saqib Salahuddin, Ahsan Khawja, M. A. Ihsan

引用次数: 2

Dim target tracking with total variation and genetic algorithm 基于全变分和遗传算法的弱小目标跟踪

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871775

E. Salari, M. Li

引用次数: 4

Decision tree classification algorithm based on cost and benefit dual-sensitive 基于成本效益双敏感的决策树分类算法

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871784

Lunman Deng, Jeong-Young Song

引用次数: 4

Large-scale neural modeling in MapReduce and Giraph MapReduce和Giraph中的大规模神经模型

IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology Pub Date : 2014-06-05 DOI: 10.1109/EIT.2014.6871824

Shuo Yang, Nicholas D. Spielman, Jadin C. Jackson, Brad S. Rubin

{"title":"Large-scale neural modeling in MapReduce and Giraph","authors":"Shuo Yang, Nicholas D. Spielman, Jadin C. Jackson, Brad S. Rubin","doi":"10.1109/EIT.2014.6871824","DOIUrl":"https://doi.org/10.1109/EIT.2014.6871824","url":null,"abstract":"One of the most crucial challenges in scientific computing is scalability. Hadoop, an open-source implementation of the MapReduce parallel programming model developed by Google, has emerged as a powerful platform for performing large-scale scientific computing at very low costs. In this paper, we explore the use of Hadoop to model large-scale neural networks. A neural network is most naturally modeled by a graph structure with iterative processing. In this paper, we first present an improved graph algorithm design pattern in MapReduce called Mapper-side Schimmy. Experiments show that the application of our design pattern, combined with the current best practices, can reduce the running time of the neural network simulation on a neural network with 100,000 neurons and 2.3 billion edges by 64%. MapReduce, however, is inherently not efficient for iterative graph processing. To address the limitation of the MapReduce model, we then explore the use of Giraph, an open source large-scale graph processing framework that sits on top of Hadoop to implement graph algorithms with a vertex-centric approach. We show that our Giraph implementation boosted performance by 91% compared to a basic MapReduce implementation and by 60% compared to our improved Mapper-side Schimmy algorithm.","PeriodicalId":92209,"journal":{"name":"IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology","volume":"2 1","pages":"556-561"},"PeriodicalIF":0.0,"publicationDate":"2014-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79094155","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