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Technical Program Committee 技术计划委员会
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2019-07-01 DOI: 10.1109/hoti.2013.7
Düzenleyen N. Özlem Ünverdi, Yıldız Teknik, S. Sariel-Talay, Sinan Kalkan, Hülya Yalçın İtü, Yeni Nesil İnsanız, U. Ayan, Bedri Özer, H. Kalkan, Süleyman Demirel, M. Akay, O. Aran, A. Salah, Gözde B. Ünal, A. Khashman, A. Özer, A. Özen, Nuh Naci Yazgan
{"title":"Technical Program Committee","authors":"Düzenleyen N. Özlem Ünverdi, Yıldız Teknik, S. Sariel-Talay, Sinan Kalkan, Hülya Yalçın İtü, Yeni Nesil İnsanız, U. Ayan, Bedri Özer, H. Kalkan, Süleyman Demirel, M. Akay, O. Aran, A. Salah, Gözde B. Ünal, A. Khashman, A. Özer, A. Özen, Nuh Naci Yazgan","doi":"10.1109/hoti.2013.7","DOIUrl":"https://doi.org/10.1109/hoti.2013.7","url":null,"abstract":"","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131972409","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
Transmit beamformer design with nonlinear optimization 非线性优化的发射波束形成器设计
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-06-13 DOI: 10.1109/SIU.2013.6531224
Ozlem Tugfe Demir, T. E. Tuncer
{"title":"Transmit beamformer design with nonlinear optimization","authors":"Ozlem Tugfe Demir, T. E. Tuncer","doi":"10.1109/SIU.2013.6531224","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531224","url":null,"abstract":"Two methods for maxmin transmit beamformer design with multiple simultaneous beams are compared. Both methods involve convex optimization with semidefinite relaxation. In the proposed method, resulting beamformer is taken as an initial estimate for another optimization problem which is nonconvex and nonlinear. As a second method, a well-known procedure, randomization is used. Comparisons are made using total power and phase-only constrained beamformers. It is shown that the proposed approach performs better than randomization.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130869981","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
Analysis of spatial point process characteristics of radar detections in sea clutter region 海杂波区雷达探测的空间点过程特征分析
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-06-13 DOI: 10.1109/SIU.2013.6531418
S. Baykut, Abdullah H. Ozcan, D. Sahinkaya, I. Yalçin
{"title":"Analysis of spatial point process characteristics of radar detections in sea clutter region","authors":"S. Baykut, Abdullah H. Ozcan, D. Sahinkaya, I. Yalçin","doi":"10.1109/SIU.2013.6531418","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531418","url":null,"abstract":"In this paper, sea clutter radar plots are modeled by spatial point processes. A test procedure is proposed to analyze “Complete Spatial Randomness (CSR)” characteristics of radar plot locations. Plot intensity map is also constructed. This map is separated into two sub-regions; cutter region and moving target region. This map can be used as a reliability metric for target detection algorithms.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132054692","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
Design of a scenario-based synthetic mixed pulse generator 基于场景的合成混合脉冲发生器设计
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-06-13 DOI: 10.1109/SIU.2013.6531299
Kenan Gençol, A. Kara, Nuray At
{"title":"Design of a scenario-based synthetic mixed pulse generator","authors":"Kenan Gençol, A. Kara, Nuray At","doi":"10.1109/SIU.2013.6531299","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531299","url":null,"abstract":"Electronic Support Measures (ESM) plays an important role in modern Electronic Warfare (EW) systems. The main purpose of an ESM system is to intercept as many emissions as it can, and then to deinterleave mixed streams of pulses that are interleaved in natural time of arrival order, and thus to identify surrounding emissions. In real life, such systems may encounter with a continuous stream of pulses accompanied by many imperfections, and it should work on real-time basis. In order to handle such circumstances and to develop better deinterleaving algorithms, a simulation tool is needed. In this study, design of a scenario-based mixed pulse generator (simulator) is presented.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134501483","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
A complex event processing based framework implementation for ambient intelligence 基于复杂事件处理的环境智能框架实现
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-06-13 DOI: 10.1109/SIU.2013.6531545
Fatih Ozlu, Bilgin Avenoglu, P. Eren
{"title":"A complex event processing based framework implementation for ambient intelligence","authors":"Fatih Ozlu, Bilgin Avenoglu, P. Eren","doi":"10.1109/SIU.2013.6531545","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531545","url":null,"abstract":"Advances in electronics and wireless communications enable the production of small and wireless development boards with low energy consumption and various sensors. In this study, development boards containing electret microphone, light, temperature, motion, magnetic, optical and RFID (Radio Frequency Identification) sensors are used for collecting data in a classroom. These data are published to the topics created for every sensor in the publish-subscribe type communication software. A complex event processing (CEP) engine listening to these topics analyzes the data by using predefined rule sets and infers high-level information such as “lecture delayed”, “lecture started”, “break given”, and “lecture ended early”. CEP engine also offers some guidance information such as “open the curtains”, “turn on the air-conditioner”, and “open the windows”. The proposed system infers these by examining patterns, relationships and hierarchies within the data as well as applying time windowing, and then publishes these messages to the corresponding topics in the publish-subscibe messaging software. These messages are consumed by mobile phones and web sites for producing customized solutions to the end users.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131643787","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
Routing using physical layer network coding 路由使用物理层网络编码
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-06-13 DOI: 10.1109/SIU.2013.6531250
Tolga Girici
{"title":"Routing using physical layer network coding","authors":"Tolga Girici","doi":"10.1109/SIU.2013.6531250","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531250","url":null,"abstract":"In this work we focused on routing using physical layer network coding. Contrary to regular network coding, in physical layer network coding modulated analog waveforms are added at the receivers. Although synchronization is needed for this purpose, adding waveforms helps save energy. In the previous literature some geographical routing algorithms are modified with physical layer network coding, using helper nodes. In this work we solve the optimal routing problem using the Bellman-Ford routing algorithm. For this purpose we defined a link cost metric. Numerical comparisons with the algorithms in the literature reveal that especially in the case of high path loss exponent the proposed algorithm significantly decreases the energy expenditure. Moreover, the proposed algorithm is able to work in cases, where the channel gain does not only depend on distance.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114328624","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
Comparison of clustering methods for pose based video summarization 基于姿态的视频摘要聚类方法比较
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-04-24 DOI: 10.1109/SIU.2013.6531504
Cagdas Bas, Nazli Ikizler-Cinbis
{"title":"Comparison of clustering methods for pose based video summarization","authors":"Cagdas Bas, Nazli Ikizler-Cinbis","doi":"10.1109/SIU.2013.6531504","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531504","url":null,"abstract":"The aim of this paper is to compare and evaluate different methods for clustering human action poses for video summarization. In this respect, three different clustering approaches are compared. These are the commonly known clustering algorithm “K-means”, a spectral clustering method “Normalized Cuts” and a new clustering method “Affinity Propagation”. These algorithms are utilized and compared with respect to their performance on clustering action poses on videos that contain different human actions. The experimental results demonstrate that k-means algorithm is more effective for the purpose of pose clustering and video summary generation.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115600063","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
Comparative analysis of hyperspectral dimension reduction methods 高光谱降维方法的对比分析
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-04-24 DOI: 10.1109/SIU.2013.6531487
Ali Ömer Kozal, Mustafa Teke, H. Ilgin
{"title":"Comparative analysis of hyperspectral dimension reduction methods","authors":"Ali Ömer Kozal, Mustafa Teke, H. Ilgin","doi":"10.1109/SIU.2013.6531487","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531487","url":null,"abstract":"Hyperspectral sensors generate images in narrow bands in continuous manner with hundreds of spectral bands. The data with large number of bands require more processing power to classify. To decrease the redundancy in hyperspectral images and increase classifying efficiency with less number of bands, dimension reduction techniques are applied. In this paper, linear and non-linear dimension reduction methods are compared in classification performance and calculation time.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660500","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: 7
Neural network based footprint identification without feature extraction 基于神经网络的无特征提取足迹识别
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-04-24 DOI: 10.1109/SIU.2013.6531429
Onur Can Kurban, T. Yıldırım, Emrah Basaran
{"title":"Neural network based footprint identification without feature extraction","authors":"Onur Can Kurban, T. Yıldırım, Emrah Basaran","doi":"10.1109/SIU.2013.6531429","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531429","url":null,"abstract":"In recent years, identification systems with using biometric features are receiving considerable attention. Iris, palmprint, fingerprint and footprint are shown as examples. This paper focused on footprint identification without features extraction. CASIA Database, Dataset-D used for identification database. Dataset-D contain footprint images taken from foot pressure measurement plate. Firtsly, each RGB image converted gray scale and resized the fifth and resized 30×15 matrix. In the end, each 30×15 matrix is converted to 1×450 input array, and simulated by MLP, SVM and Naive-Bayes classifiers. The best result without features extraction achived by MLP classifier.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114657079","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
Classification of face images using discrete cosine transform 基于离散余弦变换的人脸图像分类
2013 21st Signal Processing and Communications Applications Conference (SIU) Pub Date : 2013-04-24 DOI: 10.1109/SIU.2013.6531364
Z. Karhan, B. Ergen
{"title":"Classification of face images using discrete cosine transform","authors":"Z. Karhan, B. Ergen","doi":"10.1109/SIU.2013.6531364","DOIUrl":"https://doi.org/10.1109/SIU.2013.6531364","url":null,"abstract":"In this study, it is aimed to determine whether a given image belongs to for that person. For feature extraction, which is an important part of pattern recognition, feature vector is obtained by using discrete cosine transform after performing preprocess the images on the current face. Based on the of datas obtained from conversion are classified by using 5%, 8%, 10%, and 15%. The nearest neighbor algorithm (KNN) is used in classification process. Face images consist of images that, taken from ORL database, belongs to 40 individuals, each has 10 different images. As a result, high success were obtained by using the few data.","PeriodicalId":168462,"journal":{"name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114659790","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
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