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2017 25th Signal Processing and Communications Applications Conference (SIU)最新文献

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A comparison among interference approximation methods for OFDM/OQAM OFDM/OQAM干扰逼近方法的比较
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960142
Umut Kayikci, E. Aktas
{"title":"A comparison among interference approximation methods for OFDM/OQAM","authors":"Umut Kayikci, E. Aktas","doi":"10.1109/SIU.2017.7960142","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960142","url":null,"abstract":"In the studies of 5th generation (5G) wireless communication systems, an alternative method to orthogonal frequency division multiplexing (OFDM) used for 4th generation (4G) systems is still being investigated. OFDM with offset quadrature amplitude modulation (OFDM/OQAM) is one of these alternatives. Due to the reasons such as absence of cyclic prefix (CP) in its structure and perfect separation between non-adjacent subcarriers make OFDM/OQAM an important alternative for 5G. However, when the channel estimation methods for OFDM are directly applied to OFDM/OQAM, an intrinsic intersymbol interference (ISI) is observed and it makes OFDM/OQAM sensitive to Rayleigh fading channels. For this reason, various channel estimation methods specific to OFDM/OQAM have been developed. One of these methods is interference approximation method (IAM). The method not only eliminates intrinsic ISI, but also improves the system performance against noise. However, it also increases the peak to average power ratio (PAPR). In this paper, we will compare the performance of different IAM types in terms of PAPR and noise power.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114372441","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
Combining Landsat and ALOS data for land cover mapping 结合Landsat和ALOS数据进行土地覆盖制图
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960379
S. Abdikan, Mustafa Ustuner, F. B. Sanli, G. Bilgin
{"title":"Combining Landsat and ALOS data for land cover mapping","authors":"S. Abdikan, Mustafa Ustuner, F. B. Sanli, G. Bilgin","doi":"10.1109/SIU.2017.7960379","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960379","url":null,"abstract":"In this study, L-band ALOS PALSAR radar satellite image and Landsat TM optical satellite image were used to investigate the contribution of radar satellite image to optical satellite image for land cover mapping. Dual-polarimetric data of ALOS satellite and also normalized difference vegetation index (NDVl) generated from Landsat image were used for the analysis. In addition, different classification techniques were taken into consideration and forest dominated land cover maps were produced and the results were compared. Random Forest (RF), k-Nearest Neighbors (k-NN) and Support Vector Machines (SVM) approaches were applied as image classification techniques. While the best result among the methods is DVM, the data set in which combined data are used gives the best general accuracy result.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124525303","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
Recognition of tennis actions using a depth camera 使用深度相机识别网球动作
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960359
Bilal Ozturk, P. D. Sahin
{"title":"Recognition of tennis actions using a depth camera","authors":"Bilal Ozturk, P. D. Sahin","doi":"10.1109/SIU.2017.7960359","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960359","url":null,"abstract":"Human actions recognition has been one of the most popular subject areas in computer vision. Recently, the usage of depth cameras which are capable of generating three dimensional data enabled more complex human actions to be recognized. In this study, the problem of tennis actions recognition using a depth camera is tackled and a three dimensional tennis actions dataset has been created. To be able to recognize each tennis action, each image is represented with the three dimensional skeletal based features. Each tennis action sample is represented by appending the features of each image residing in the signature subset created with the k-means clustering method in a time based manner. With the help of supervised multi-class support vector machine method, tennis actions have been modeled with a remarkable success.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134267708","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
Genetic algortihm based resource allocation technique for VLC networks 基于遗传算法的VLC网络资源分配技术
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960526
M. S. Demir, O. F. Gemici, M. Uysal
{"title":"Genetic algortihm based resource allocation technique for VLC networks","authors":"M. S. Demir, O. F. Gemici, M. Uysal","doi":"10.1109/SIU.2017.7960526","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960526","url":null,"abstract":"In this paper, we present a genetic algorithm (GA) based resource allocation technique for indoor optical visible light communication (VLC) networks. Optical VLC network using existing lighting infrastructure in an indoor environment is a cellular network with very small size cells. It is necessary to have effective resource allocation mechanisms for VLC networks to maximize system throughput and fairness among users. We propose a GA based resource allocation scheme to improve total system throughput. Our proposed scheme gives better results compared to Round Robin and Best CQI algorithms in terms of system throughput.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133466228","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: 8
Cell counting and recognition of immunohistochemically dyed seminiferous tubules with feed-forward neural network 免疫组织化学染色精小管细胞计数及前馈神经网络识别
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960511
Zubeyr Aydemir, O. Erkaymaz, Meryem Akpolat Ferah
{"title":"Cell counting and recognition of immunohistochemically dyed seminiferous tubules with feed-forward neural network","authors":"Zubeyr Aydemir, O. Erkaymaz, Meryem Akpolat Ferah","doi":"10.1109/SIU.2017.7960511","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960511","url":null,"abstract":"In this study, the features of the seminiferous tubule sections were extracted and the presence of the cells and cell stain types detected with the help of the feed forward artificial neural network. By looking at the section view with a small window, 78 features were extracted from the pixels seen by the window and used as an input to the artificial neural network. Artificial neural network outputs are decides presence of the cell and the staining of the cell. The results obtained with the artificial neural network were determined by using the connected component labeling method. The results obtained with the help of the user and the results obtained with the artificial neural network were compared. It has been shown that the proposed ANN model performs cell counting process comparable to the literature (%76 accuracy).","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131583241","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
Generating word images using deep generative adversarial networks 使用深度生成对抗网络生成单词图像
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960464
C. G. Turhan, H. Ş. Bilge
{"title":"Generating word images using deep generative adversarial networks","authors":"C. G. Turhan, H. Ş. Bilge","doi":"10.1109/SIU.2017.7960464","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960464","url":null,"abstract":"As one of the most important research topic of nowadays, deep learning attracts researchers' attention with applications of convolutional (CNNs) and recurrent neural networks (RNNs). By pioneers of the deep learning community, generative adversarial training, which has been working for especially last two years, is defined as the most exciting topic of computer vision for the last 10 years. With the influence of these views, a new training approach is proposed to combine generative adversarial network (GAN) architecture with a cascading training. Using CVL database, text images can be generated in a short training time as a different application from the existing GAN examples.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121100443","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
Audio based commercial monitoring in TV broadcasts 电视广播中基于音频的商业监控
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960392
Sinan Sarica, G. Ince
{"title":"Audio based commercial monitoring in TV broadcasts","authors":"Sinan Sarica, G. Ince","doi":"10.1109/SIU.2017.7960392","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960392","url":null,"abstract":"In our study, it is aimed to develop a system which detects and identifies commercials airing on television broadcasts on the fly using audio signal processing techniques. Thus, advertisers will be able to track and report their advertisements on television channels. In this paper, a robust infrastructure with high availability has been developed that allows proper recording, storage and indexing of broadcasts. Audio fingerprinting and matching techniques have been studied and algorithms that provide adequate speed and accuracy have been adapted to be used in real-time streams. The proposed system has been shown to be working effectively on the actual data comparing to the existing methods.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127029296","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
Port-based DHCP server design with authentication 基于端口的DHCP服务器设计和认证
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960334
Mehmet Korkmaz, Cemal Küse
{"title":"Port-based DHCP server design with authentication","authors":"Mehmet Korkmaz, Cemal Küse","doi":"10.1109/SIU.2017.7960334","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960334","url":null,"abstract":"In a large-scale network, the user authentication process is a high workload and has some security problems. In this study we propose a mechanism for each user that wants to be included in our enterprise network and authenticate oneself without needing to consult with any network administrator. We also propose to fix that user's binding location. So using this information we ensure security and determine IP configuration to clients for next connections.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125753908","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
Location based pricing with Bluetooth low energy in public transportation 基于位置的公共交通低功耗蓝牙定价
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960148
Ercument Turk, Sadik Arslan
{"title":"Location based pricing with Bluetooth low energy in public transportation","authors":"Ercument Turk, Sadik Arslan","doi":"10.1109/SIU.2017.7960148","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960148","url":null,"abstract":"This study focused on location based pricing in the public transport system. Aim of this study is design a system which automatically obtain tickets information by entering and leaving the means of transportation without any interaction with any devices. The fare collection device in the vehicles detects the passengers' presence and initiates services unnoticed in the background. Similar study has discussed to accomplish this aim. This study focus on Bluetooth Low Energy alternatively. İt is focused on solutions for passenger position estimation. Global Positioning System, accelerometer and hardware assisted methods are used together to prevent incorrect location information. The study is different from existing solutions in this aspect. Remote server software do authentication and fare collection as online. The study is very important for future of the smart transportation.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116547710","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
Automated visual classification of indoor scenes and architectural styles 室内场景和建筑风格的自动视觉分类
2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI: 10.1109/SIU.2017.7960205
Berkan Solmaz, Veysel Yücesoy, Aykut Koç
{"title":"Automated visual classification of indoor scenes and architectural styles","authors":"Berkan Solmaz, Veysel Yücesoy, Aykut Koç","doi":"10.1109/SIU.2017.7960205","DOIUrl":"https://doi.org/10.1109/SIU.2017.7960205","url":null,"abstract":"The ability to automatically categorize a large number of new images that are being uploaded to real estate, furniture, and decoration websites, and personalized search functionality will be a great convenience for the users. In this study, modeling of types and architectural styles of indoor scenes is attempted using visual descriptors of different structures. The performance of the learned models is quantitatively measured on useful applications such as image classification and retrieval.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132574766","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
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