2011 21st International Conference on Systems Engineering最新文献

Minmax Regret Algorithms for Uncertain PCmax Problem with Interval Processing Times 具有区间处理时间的不确定PCmax问题的最小后悔算法

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.28

Marcin Siepak, J. Józefczyk

引用次数: 7

Advanced Hyperspectral Remote Sensing for Target Detection 用于目标探测的先进高光谱遥感

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.43

E. Sharifahmadian, S. Latifi

{"title":"Advanced Hyperspectral Remote Sensing for Target Detection","authors":"E. Sharifahmadian, S. Latifi","doi":"10.1109/ICSEng.2011.43","DOIUrl":"https://doi.org/10.1109/ICSEng.2011.43","url":null,"abstract":"Hyperspectral sensors provide 3-D images with high spatial and spectral resolution. Acquired data can be utilized in diverse applications such as detection and control of hazardous agents in atmosphere and water, military targets, and so on. Over the last decade, hyperspectral remote sensing algorithms for target detection have evolved from the spectral-based methods, which only use spectral information, to more recent methods based on spatial-spectral information. Spatial information plays a crucial role to improve the efficiency of the algorithms. Furthermore, the parallelization of the algorithms reduces the computation time. Developments in the area of commodity computing provide affordable approach for target detection applications with real-time constraint. We will give a scientific overview of recent target detection algorithms which try to overcome existing limitations (e.g. spectral variability or background interference) in hyperspectral remote sensing. Unlike current target detection methods in literature, this study explains and assesses different aspects of developments in target detection algorithms comprehensively. In particular, this study focuses on development in atmospheric correction methods which especially deal with background interference, development in methods based on spectral information and spectral-spatial information (both methods especially deal with spectral variability), and parallelization of the algorithms. With consideration of hyperspectral data challenges in real-world, an optimum approach is the adaptive algorithm based on spatial-spectral information in which their computation is performed in parallel","PeriodicalId":387483,"journal":{"name":"2011 21st International Conference on Systems Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122425697","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: 18

On the Central Exponent of Discrete Time-varying Linear Systems 离散时变线性系统的中心指数

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.12

A. Czornik, A. Nawrat

引用次数: 1

Fault Diagnostics of Rotating Machinery 旋转机械故障诊断

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.105

Z. Mahmood, N. S. Khattak

{"title":"Fault Diagnostics of Rotating Machinery","authors":"Z. Mahmood, N. S. Khattak","doi":"10.1109/ICSEng.2011.105","DOIUrl":"https://doi.org/10.1109/ICSEng.2011.105","url":null,"abstract":"This research extends the concept of [Lehrasab, 1999] to the domain of rotating machines. It aims at developing novel fault diagnostics techniques for the motor or rotating machines for diagnostics that is costeffective and easier to deploy from industrial perspective. Normally the encoders data is only used to measure speed, however this paper attempts to use the same data normally considered insufficient for mathematical modeling, in creating a set of model based residuals. The velocity measurements based on the timing between the hall effect sensors placed around the motor in form of a mini-plastic belt is accurately measured with a microprocessor without involving expensive A/D. Conventional schemes usually deploy the spectral analysis that requires expensive sensors and powerful data processing engines. This scheme employs the conventional encoder and with a very limited floating point implementations. The complete model based residual generator can be implemented that can relate the rotational jitters and mechanical faults and with further analysis it can be linked with a set of transformations from spectral domain to the jitter domain. The paper presents a novel model based residual generator for shaft Encoder of a motor based on its jitter model. The mechanical errors of the system are translated into variations in the angular velocity. The residual generator presented in this paper is sensitive to the resolution of jitters of 4us to cross 3s thresholds.","PeriodicalId":387483,"journal":{"name":"2011 21st International Conference on Systems Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121401376","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

Novel Power Control Algorithms for Underlay Cognitive Radio Networks 基于底层认知无线网络的新型功率控制算法

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.44

Mohsen Karimzadeh Kiskani, B. Khalaj

引用次数: 10

Heuristic Algorithm of Bound Set Selection in Functional Decomposition for Heterogeneous FPGAs 异构fpga功能分解中界集选择的启发式算法

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.94

M. Rawski

引用次数: 5

Cycle Time in Assembly Line Balancing Problem 装配线平衡问题中的周期时间

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.38

W. Grzechca

引用次数: 5

Tuning Functions Based Adaptive Synchrony in Inferior Olive Neurons 基于调谐函数的下橄榄神经元自适应同步

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.15

Keum W. Lee, S. K. Chalike, Sahjendra N. Singh

引用次数: 1

Study of the Effect of the Frequency on Performance of Magnetic Based Micro Pump 频率对磁基微泵性能影响的研究

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.79

Z. Derafshi, M. Mousavi, R. P. Zangabad, M. Bahrami

引用次数: 0

Model-based Fault Detection and Isolation Using Neural Networks: An Industrial Gas Turbine Case Study 基于模型的神经网络故障检测与隔离:工业燃气轮机案例研究

2011 21st International Conference on Systems Engineering Pub Date : 2011-08-16 DOI: 10.1109/ICSEng.2011.13

H. A. Nozari, H. D. Banadaki, M. A. Shoorehdeli, S. Simani

引用次数: 12