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2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings最新文献

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A radar network based W-ABORT approach to counteract deceptive ECM signals 一种基于雷达网络的W-ABORT对抗欺骗性电子对抗信号的方法
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873653
A. Coluccia, G. Ricci
{"title":"A radar network based W-ABORT approach to counteract deceptive ECM signals","authors":"A. Coluccia, G. Ricci","doi":"10.1109/INISTA.2014.6873653","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873653","url":null,"abstract":"We propose a new approach to adaptive detection of coherent signals backscattered by possible point-like targets in the context of electronic warfare; in fact, the possible target signal is buried in thermal noise, clutter, noise-like interferers and, possibly, coherent (i.e., deceptive ECM) interferers. We assume a network of radars: for a given cell under test only a subset of the radars receives ECM signals. Training data containing thermal noise, clutter, and noise-like interferers are available. The problem at hand is solved resorting to a two-stage detection strategy: first, the subset of radars under ECM is estimated; then, a proper detection strategy resorting to W-ABORT based detectors for radars under ECM is implemented. The performance assessment shows that the proposed solution is effective in presence of ECM systems.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134563820","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: 4
Evolutionary algorithms based analog filter approximation and implementation 基于进化算法的模拟滤波逼近与实现
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873648
R. Vural, U. E. Ayten
{"title":"Evolutionary algorithms based analog filter approximation and implementation","authors":"R. Vural, U. E. Ayten","doi":"10.1109/INISTA.2014.6873648","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873648","url":null,"abstract":"In this work, the denominator coefficients of a lowpass filter transfer function are optimized with evolutionary algorithms in order to obtain minimum approximation error and to reduce the distortion over the passband and stopband separately. For each design case, three different orders of transfer function are optimized. Simulation results show that evolutionary algorithms used in this work results in a short computation time with less approximation error than the conventional methods. Passive and active circuit realizations of filter transfer functions obtained with the most efficient EA method are also provided in order to show the feasibility of the proposed approach for circuit implementation.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115564218","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: 2
Adaptive fault detection tool for real-time integrity monitoring of Subsea Control Systems 用于水下控制系统实时完整性监测的自适应故障检测工具
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873592
Frederic Bouchet, Andrei V. Petrovski
{"title":"Adaptive fault detection tool for real-time integrity monitoring of Subsea Control Systems","authors":"Frederic Bouchet, Andrei V. Petrovski","doi":"10.1109/INISTA.2014.6873592","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873592","url":null,"abstract":"This paper investigates the use of computational intelligence (CI) techniques, alongside mathematical and statistical models, to effectively assess the state and conditions of subsea controls systems from sensor data. The main focus of the work is to apply the CI techniques to the process of fault detection and identification (FDI) by developing a generic framework capable of performing the FDI activities pro-actively and in real-time. The proposed framework has been implemented and evaluated on two experimental datasets, demonstrating the viability and benefits of the suggested approach to adaptive fault detection.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128235210","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
Sound fields clusterization via neural networks 基于神经网络的声场聚类
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873646
P. Koprinkova-Hristova, K. Alexiev
{"title":"Sound fields clusterization via neural networks","authors":"P. Koprinkova-Hristova, K. Alexiev","doi":"10.1109/INISTA.2014.6873646","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873646","url":null,"abstract":"Paper presents application of a recently proposed approach for multidimensional data clustering to data received from a microphone array antenna. The accumulated sound pressure at each point (a microphone in the array) is used to create “sound picture” of the observed by the microphone antenna area. Features for classification are extracted using overlapping receptive fields based on the model of direction selective cells in the middle temporal (MT) cortex. Next the clustering procedure using Echo state network and subtractive clustering algorithm is applied to separate receptive fields in proper number of classes. The obtained results are compared with the sonograms created by the original software of the producer of microphone array.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124431591","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
Automatic image registration based on plain objects detection and recognition in remote sensing tasks 基于平面目标检测与识别的遥感图像自动配准
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873621
A. Kazlouski, R. Sadykhov
{"title":"Automatic image registration based on plain objects detection and recognition in remote sensing tasks","authors":"A. Kazlouski, R. Sadykhov","doi":"10.1109/INISTA.2014.6873621","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873621","url":null,"abstract":"Image registration is central problem to many tasks in digital image processing and therefore it has a vast range of applications. A scheme of automatic image registration based on plain objects detection and recognition in remote sensing tasks is presented in this paper. It relates to the concept of plain object in image and includes three subsystems. A subsystem of plain objects detection in image is based on a new method of plain objects detection in image. It relates to the land use classification process, different image segmentation methods and depends on the particular application. A subsystem of conjugate plain objects determination relate to a new method of plain objects recognition in images by shape based on stochastic geometry. It is invariant with respect to projective distortions. A subsystem of image registration determines an optimal geometric transformation and register given input images based on it. This paper reviews existing methods of image registration and emphasizes parametric, non-parametric and hybrid image registration techniques. Experimental results confirm the efficiency of the proposed system.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"136 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131549514","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: 2
The assessment of feature selection methods on agglutinative language for spam email detection: A special case for Turkish 垃圾邮件检测中黏着语言特征选择方法的评估:以土耳其语为例
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873607
S. Ergin, Ş. Işık
{"title":"The assessment of feature selection methods on agglutinative language for spam email detection: A special case for Turkish","authors":"S. Ergin, Ş. Işık","doi":"10.1109/INISTA.2014.6873607","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873607","url":null,"abstract":"In this study, the assessment of three different feature selection methods including Information Gain (IG), Gini Index (GI), and CHI square (CHI2) is made by utilizing two popular pattern classifiers, namely Artificial Neural Network (ANN) and Decision Tree (DT), on the classification of Turkish e-mails. The feature vectors are constructed by the bag-of-words feature extraction method. This paper is focused on the Turkish language since it is one of the widely used agglutinative languages all around the world. The results obviously reveal that CHI2 and GI feature selection methods are more efficacious than IG method for Turkish language.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128469575","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
Elastic constant identification of laminated composite beam with metaheuristic algorithms 基于元启发式算法的层合组合梁弹性常数辨识
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873598
M. Ettefagh, H. Biglari, M. Azvar, H. Emdadi
{"title":"Elastic constant identification of laminated composite beam with metaheuristic algorithms","authors":"M. Ettefagh, H. Biglari, M. Azvar, H. Emdadi","doi":"10.1109/INISTA.2014.6873598","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873598","url":null,"abstract":"In this paper, ABC (Artificial Bee Colony), PSO (Particle Swarm Optimization), TS (Tabu Search) and SA (Simulated Annealing) algorithms are applied to estimate the elastic constant of the laminated composite beam by means of measuring vibration frequency of the beam using experimental modal analysis. For this purpose, a proper object function is defined based on the square of deviation between measured and numerically calculated frequency. Then by minimizing this function which is in term of the elastic constant employing preceding algorithms, this constant can be estimated. Also, comprehensive comparative results of mentioned algorithms are reported.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114311546","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
Remote sensing organic matter identification in Apulia Region SoS-Soil project 阿普利亚地区SoS-Soil项目有机质遥感识别
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873651
V. D. Lecce, A. Casale, D. Soldo, D. Palagachev, Alessandro Quarto, V. Uricchio
{"title":"Remote sensing organic matter identification in Apulia Region SoS-Soil project","authors":"V. D. Lecce, A. Casale, D. Soldo, D. Palagachev, Alessandro Quarto, V. Uricchio","doi":"10.1109/INISTA.2014.6873651","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873651","url":null,"abstract":"Advances in remote sensing technology are now providing tools to support geospatial mapping of the soil properties for the application to the management of agriculture and the environment. In this paper results of visible and near IR spectral reflectance are presented and discussed. A supportable evaluation of organic matter in the soil is the absence of a specific signature, this concept arose out of the widely shared observation of scientific community in this concern. The obtained results show that a morphologic approach based on an experimental distance model is an appropriate and efficient method to deal with this matter.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"2 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115606845","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: 2
Bearing fault diagnosis using hybrid genetic algorithm K-means clustering 基于混合遗传算法的k均值聚类轴承故障诊断
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873601
M. Ettefagh, Manizheh Ghaemi, M. Y. Asr
{"title":"Bearing fault diagnosis using hybrid genetic algorithm K-means clustering","authors":"M. Ettefagh, Manizheh Ghaemi, M. Y. Asr","doi":"10.1109/INISTA.2014.6873601","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873601","url":null,"abstract":"Condition monitoring and fault diagnosis of rotating machinery are very significant and practically challenging fields in industries for reducing maintenance costs. Fault diagnosis may be interpreted as a classification problem; therefore artificial intelligence-based classifiers can be efficiently used to classify normal and faulty machine conditions. K-means clustering is one of the methods applied for this purpose. In this paper, a new fault diagnosis method is proposed by applying Genetic Algorithm (GA) to overcome the drawback of K-means which it may be get stuck in local optima. For this purpose, the best solution of GA is chosen to be the initial point for K-means clustering. The proposed method is used in fault diagnosis of the scaled rotor-bearing system experimentally. Then the result of hybrid GA-K-means clustering is compared with classic K-means clustering.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126135086","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: 27
Efficient stairs detection algorithm Assisted navigation for vision impaired people 高效的楼梯检测算法为视障人士提供辅助导航
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI: 10.1109/INISTA.2014.6873637
Sara Carbonara, C. Guaragnella
{"title":"Efficient stairs detection algorithm Assisted navigation for vision impaired people","authors":"Sara Carbonara, C. Guaragnella","doi":"10.1109/INISTA.2014.6873637","DOIUrl":"https://doi.org/10.1109/INISTA.2014.6873637","url":null,"abstract":"An efficient implementation of a real time stair detection system is proposed, for an implementation on a smartphone to help world awareness for vision impaired people. The proposed algorithm uses an efficient image processing to detect the presence of stairs and its location within the image. Preliminary results of the developing system are presented.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123223984","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
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