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Application of context invariants in airport region of interest detection for multi-spectral satellite imagery 上下文不变量在多光谱卫星图像机场感兴趣区域检测中的应用
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204767
Orhan Firat, O. Tursun, F. Yarman-Vural
{"title":"Application of context invariants in airport region of interest detection for multi-spectral satellite imagery","authors":"Orhan Firat, O. Tursun, F. Yarman-Vural","doi":"10.1109/SIU.2012.6204767","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204767","url":null,"abstract":"In literature, many target-specific methods are available for target detection on satellite images. Yet for many targets, intra-class variance is high. This situation results in decreased detection performance after generalization. Airfield is one of the targets with high intra-class variance in satellite images. This variance is caused by different compositions observed in airfields. Hence, approaches which aim at detecting airfields in specific regions and compositions are either unsuccessful or inapplicable to images taken from different regions. Context invariants make it possible to generalize target detection algorithms for varying target compositions and regions. In this study, context invariants are proposed for airfield region-of-interest detection and it is observed that context invariance plays an important role in developing robust and reliable algorithm for varying region, climate and compositions.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115012469","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
Frequency estimation of power system signals with chaotic oscillations using music and esprit algorithms 用music和esprit算法估计电力系统混沌振荡信号的频率
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204598
C. P. Uzunoğlu, M. Uğur
{"title":"Frequency estimation of power system signals with chaotic oscillations using music and esprit algorithms","authors":"C. P. Uzunoğlu, M. Uğur","doi":"10.1109/SIU.2012.6204598","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204598","url":null,"abstract":"Chaotic ferroresonance is one of the disturbances of a power system, which may cause chaotic oscillations with over voltages and over currents. In order to protect system and keep it stable the frequency estimation should be fulfilled accurately. In this study first chaotic oscillations of ferroresonance are modeled with forced Duffing oscillator's dynamical equations. MUSIC (Multiple Signal Classification) and ESPRIT (Estimation of Parameters by Rotationally Invariant Technique) methods are proposed for frequency estimation of chaotically distorted power system signals. Frequency is estimated efficiently by using the MUSIC and ESPRIT methods. Finally, computer simulations have been carried out for the performance analysis of the proposed methods and the comparison results of the proposed methods based on the SNR (Signal to noise ratio) values are given.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115125450","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
Effects of opportunistic relay selection on the performance of distributed Turbo coded cooperative systems 机会中继选择对分布式Turbo编码协作系统性能的影响
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204714
Hakan Kaya, E. Öztürk
{"title":"Effects of opportunistic relay selection on the performance of distributed Turbo coded cooperative systems","authors":"Hakan Kaya, E. Öztürk","doi":"10.1109/SIU.2012.6204714","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204714","url":null,"abstract":"In this work, the error performance of the distributed Turbo coded cooperative systems in a multi-relay environment is investigated based on the number of relays and relay selection. First, one of two selected relays having best paths among M relays uses Amplify and Forward (AF) protocol, and the other one uses Decode and Forward (DF) protocol. Then, the component codes of the distributed parallel concatenated (Turbo) code are sent to receiver by these two relays. This type of a system is called Distributed Turbo Coded Cooperative Systems (DTCS). In addition, this system is compared with another system having a similar structure but only uses convolutional codes. Numerical results show that the DTSC outperforms the system including only convolutional code, with the increment of the total number of relays. On the other hand, the use of DF protocol rather than AF for the better relay among the two best relays gives a better performance in the DTSC system.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115247149","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
Robust spread spectrum type communication with M-ary quasi orthogonal signaling for wireless fading channels 基于M-ary准正交信号的无线衰落信道鲁棒扩频通信
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204750
G. M. Güvensen, Y. Tanik, A. O. Yılmaz
{"title":"Robust spread spectrum type communication with M-ary quasi orthogonal signaling for wireless fading channels","authors":"G. M. Güvensen, Y. Tanik, A. O. Yılmaz","doi":"10.1109/SIU.2012.6204750","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204750","url":null,"abstract":"In this paper, a receiver architecture with reduced complexity is proposed for spread spectrum type communication with M-ary quasi orthogonal signaling. The proposed structure comprises of the channel and code matched filtering (MF) concatenated with a reduced state maximum likelihood sequence estimation (MLSE) type processing at symbol rate. MLSE, which takes the interference caused by nonideal cross- and autocorrelations of the spreading codes and multi-path channel into account, is directly applied to the unwhitenedmatched filter outputs. The hypothetical matched filter bound (MFB) is achieved by the proposed structure with the use of a reasonable number of states. By using the proposed reduced state Ungerboeck type MLSE based receiver, it is seen that M-ary quasi orthogonal signaling is an effective spread spectrum type modulation technique for multi-path channels with large delay spread at low power.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123490705","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
Multimodal concept detection on multimedia data- RTUK SKAAS KavTan system 多媒体数据的多模态概念检测- RTUK SKAAS KavTan系统
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204547
Mashar Tekin, A. Saracoglu, E. Esen, M. Soysal, K. B. Logoglu, H. Sevimli, Tugrul K. Ates, A. Sevinç, Banu Oskay Acar, Ünal Zubari, Ezgi C. Ozan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz, Savas Özkan, Talha Karadeniz, D. Önür, Sezin Selçuk, T. Çiloglu, Aydin Alatan
{"title":"Multimodal concept detection on multimedia data- RTUK SKAAS KavTan system","authors":"Mashar Tekin, A. Saracoglu, E. Esen, M. Soysal, K. B. Logoglu, H. Sevimli, Tugrul K. Ates, A. Sevinç, Banu Oskay Acar, Ünal Zubari, Ezgi C. Ozan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz, Savas Özkan, Talha Karadeniz, D. Önür, Sezin Selçuk, T. Çiloglu, Aydin Alatan","doi":"10.1109/SIU.2012.6204547","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204547","url":null,"abstract":"Concept detection stands as an important problem for many applications like efficient indexing and retrieval in large video archives. In this work, for detection of diverse and distinct concepts a concept detection system (KavTan) that combines a variety of information sources under a single structure is proposed. The proposed system consists of Generalized Audio Concept Detection and Audio Keyword Detection sub-modules that use audio data and Generalized Visual Concept Detection, Video Text Detection, Human Detection, Nudity Detection, Blood Detection, Flag Detection and Skin Detection sub-modules that use visual data. Each concept is detected by using one or more of the mentioned modules. Proposed concept detection system is tested against multiple concepts and system performance is reported. It is observed that for most of the concepts high performance can be achieved with this approach.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122965592","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
Importance sampling for model-based reinforcement learning 基于模型的强化学习的重要性抽样
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204703
Orhan Sonmez, A. Cemgil
{"title":"Importance sampling for model-based reinforcement learning","authors":"Orhan Sonmez, A. Cemgil","doi":"10.1109/SIU.2012.6204703","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204703","url":null,"abstract":"Most of the state-of-the-art reinforcement learning algorithms are based on Bellman equations and make use of fixed-point iteration methods to converge to suboptimal solutions. However, some of the recent approaches transform the reinforcement learning problem into an equivalent likelihood maximization problem with using appropriate graphical models. Hence, it allows the adoption of probabilistic inference methods. Here, we propose an expectation-maximization method that employs importance sampling in its E-step in order to estimate the likelihood and then to determine the optimal policy.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"30 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122178505","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
Multiview scene matching using local features and invariant geometric constraints 基于局部特征和不变几何约束的多视图场景匹配
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204757
M. Soysal, Aydin Alatan
{"title":"Multiview scene matching using local features and invariant geometric constraints","authors":"M. Soysal, Aydin Alatan","doi":"10.1109/SIU.2012.6204757","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204757","url":null,"abstract":"A novel scene recognition method that utilizes local appearance descriptions together with geometrical invariants for multiview scene matching is presented in this paper. The rationale behind this effort is to complement the lowered discriminative capacity of local features, with invariant geometric descriptions. Presented method is evaluated by comparison with a prominent baseline method, which utilizes Random Sample Consensus (RANSAC) for robust 2D affine invariant transform estimation. Experimental results have revealed the superiority of the presented method which utilizes 3D geometric invariants over the baseline robust 2D transform estimation method, especially in typical scenes for which planarity assumption does not hold.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114065055","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
The effect of feature reduction techniques on diagnosis of diabetes 特征约简技术在糖尿病诊断中的作用
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204687
H. Akan, U. Demirok, N. Kiliç
{"title":"The effect of feature reduction techniques on diagnosis of diabetes","authors":"H. Akan, U. Demirok, N. Kiliç","doi":"10.1109/SIU.2012.6204687","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204687","url":null,"abstract":"In this study, Bayesian and, Decision Trees classifiers are used for the automatic diagnosis of the diabetes disease. 17 attributes of the diabetics has been reduced to 4 attributes using principal component analysis and sequential forward selection algorithm. The performances of the classifiers obtained from the use of the dimension reduction techniques are compared. Thus, dimension reduction methods to examine the positive effects on both the results and is intended to reduce the workload of the machine learning. End of the study, it has been seen that Decision Trees Algorithm provides the highest performance criterion and Principle Component Analysis gives the best classifying results. The study produces the importance of the dimension reduction techniques to process the big demensional datas.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126385441","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
Multi-band and miniaturized antenna design for ultra wide band applications with band rejection characteristic 具有带阻特性的超宽带应用的多频带小型化天线设计
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204492
M. Toycan, Ademola Kaka, V. Bashiry, S. Abbasoğlu
{"title":"Multi-band and miniaturized antenna design for ultra wide band applications with band rejection characteristic","authors":"M. Toycan, Ademola Kaka, V. Bashiry, S. Abbasoğlu","doi":"10.1109/SIU.2012.6204492","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204492","url":null,"abstract":"In this paper, the combination of concentric square loop and the Koch curve fractal geometries based microstrip antenna design for ultra wideband (UWB) applications is presented. This fractal structure is implemented on a empty square. Three progressively concentric square loop is applied inside the empty square and a full square is applied to the center for the first iteration. Then, a Koch curve fractal is applied to the lines of the first iteration. The proposed antenna is miniaturized (44 × 43 mm2) and has multi-band characteristics. Simulation results show that the presented antenna has a reflection coefficient characteristic <; -15dB, 80% radiation efficiency, 4-6dBi antenna gain and omni-directional radiation pattern properties over the full UWB bandwidth (3.1 - 10.6 GHz) while showing the band-rejection performance in the frequency band of 4.75-6.75 GHz.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129766306","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
Investigation of ionospheric pierce points for TNPGN-active network tnpgn有源网络电离层穿透点研究
2012 20th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2012-04-18 DOI: 10.1109/SIU.2012.6204766
M. S. Sapaz, F. Arıkan, T. Gulyaeva
{"title":"Investigation of ionospheric pierce points for TNPGN-active network","authors":"M. S. Sapaz, F. Arıkan, T. Gulyaeva","doi":"10.1109/SIU.2012.6204766","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204766","url":null,"abstract":"In this study, the effects of height of the ionospheric thin shell, neighboring stations and satellite positions on the ionospheric pierce points are investigated by using the data obtained from TNPGN-Active GPS TRIMBLE receivers in Turkey and North Cyprus. For this purpose, Total Electron Content (TEC) value along the path between receiver and satellite, Slant Ray Total Electron Content (STEC) are examined for each satellite and receiver pair. Hence, the data obtained from GPS stations is processed and ionospheric pierce points along the way between receiver and satellite are calculated by considering geographical coordinates of GPS stations. In order to determine the appropriate sampling intervals in the STEC model specific to Turkey, the distance between pierce points are investigated. At the ionospheric heights between 200 km and 450 km, the arc lengths between pierce points are reasonable and proportional to the distance between neighborhoods. Depending on these results, the distance between pierce points represents appropriate sampling intervals for the stations in Turkey.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129416400","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
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