发布求助
文献互助 智能选刊 最新文献

2014 22nd Signal Processing and Communications Applications Conference (SIU)最新文献

筛选
英文 中文
Comparison of algebraic reconstruction techniques for Tomosynthesis system 层析合成系统的代数重建技术比较
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-05-12 DOI: 10.1109/SIU.2014.6830686
K. Cengiz, M. Kamasak
{"title":"Comparison of algebraic reconstruction techniques for Tomosynthesis system","authors":"K. Cengiz, M. Kamasak","doi":"10.1109/SIU.2014.6830686","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830686","url":null,"abstract":"Digital Breast Tomosynthesis (DBT) is an innovative 3D imaging technique implemented using a limited number of low dose projections, which are taken with the X-ray source moving in a limited angle of rotation around the breast. These low dose projection images should become processed using mathematical methods, to reconstruct tomographic images, resulting in a 3D representation of the imaged breast. In tomosynthesis imaging, out-of-focus slice blur problem arises due to incomplete sampling problem. Several approaches have been suggested to deal with this problem. The purpose of this work is to implement Algebraic Reconstruction Technique (ART) and Multiplicative Algebraic Reconstruction Technique (MART) which are kind of that approach. Former studies addressed largely 2D tomosynthesis image reconstruction problem. In this study, a 3D phantom model was used. All of the algorithms and experiments are programmed with C++. The differences between two reconstruction algorithms are also investigated by means of comparing root mean square error (RMSE) and mean structural similarity (MSSIM).","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124854920","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
Graph-cut-based compression algorithm for compressed-sensed image acquisition 基于图割的压缩感知图像采集算法
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830726
Julide Gulen Alaydin, Seden Hazal Gulen, M. Trocan, B. U. Toreyin
{"title":"Graph-cut-based compression algorithm for compressed-sensed image acquisition","authors":"Julide Gulen Alaydin, Seden Hazal Gulen, M. Trocan, B. U. Toreyin","doi":"10.1109/SIU.2014.6830726","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830726","url":null,"abstract":"The purpose of the paper is to find the best quantizer allocation for compressed-sensed acquired images, by using a graph-cut quantizer allocation method. The compressed sensed acquisition is realized in a block-based manner, using a random projection matrix, and on the obtained block measurements a graph-cut-based quantizer allocation method is applied, in order to further reduce the bitrate associated to the measurements. Finally, the quantized measurements are reconstructed using a Smooth Projected Landweber recovery method. The proposed compression method for compressed sensed acquisition shows better results when compared to JPEG2000.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123098025","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
OpenCL implementation of unsharp filtering on GPU and FPGA OpenCL在GPU和FPGA上实现非锐化滤波
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830203
Ozge Unel, Toygar Akgun
{"title":"OpenCL implementation of unsharp filtering on GPU and FPGA","authors":"Ozge Unel, Toygar Akgun","doi":"10.1109/SIU.2014.6830203","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830203","url":null,"abstract":"The purpose of this study is to evaluate the performance of two dimensional multi-threaded linear filtering process on the GPU and FPGA platforms. To obtain the implementation on varying platforms, OpenCL API is used. OpenCL provides platform independent programming advantage. The results on three different platforms are compared to each other within this scope. These platforms are CPU, GPU, and FPGA. With changing filter and video frame sizes, varying processing times on these platforms are observed, and platform dependent advantages/disadvantages are studied.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121827815","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
Describing the optimum pilot symbol interval via curve fitting methods in OFDM system 用曲线拟合方法描述OFDM系统中最优导频符号间隔
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830315
B. Engiz, Ç. Kurnaz, Hatice Sezgin
{"title":"Describing the optimum pilot symbol interval via curve fitting methods in OFDM system","authors":"B. Engiz, Ç. Kurnaz, Hatice Sezgin","doi":"10.1109/SIU.2014.6830315","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830315","url":null,"abstract":"Increasing demand on higher data rates, makes multi carrier systems popular. Orthogonal frequency division multiplexing (OFDM), a form of multicarrier modulation, has been widely applied in wireless communication systems for major advantages. In order to obtain channel state information, and overcome multipath fading channel estimation must be performed in these systems. The channel estimation quality significantly depends on the pilot pattern. In this study, the relationship between the optimum pilot symbol interval that yields the minimum channel estimation mean squared error and coherence bandwidth, coherence time at 0,9 correlation is investigated in OFDM systems for different time and frequency selective channels. Different curve fitting methods are applied to data and performances are compared in terms of normalized root mean squared errors (NRMSE). Considering both simplicity and NRMSE; the optimum pilot symbol interval is calculated by cubic polynomial in frequency direction, and by quadratic polynomial in time direction.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121053883","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
ADMM based mainlobe power constrained phase-only sidelobe supression 基于ADMM的主瓣功率约束纯相位旁瓣抑制
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830303
Y. K. Alp, O. Arikan
{"title":"ADMM based mainlobe power constrained phase-only sidelobe supression","authors":"Y. K. Alp, O. Arikan","doi":"10.1109/SIU.2014.6830303","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830303","url":null,"abstract":"A novel sidelobe suppression technique is proposed for phased arrays, where only the phases of the array elements are adjusted to suppress the gain in the direction of interest while keeping the mainlobe power at a certain level. Mainlobe power constrained sidelobe suppression is formulated as a convex RSDP (Relaxed Semidefinite Program). Solution to resultant RSDP is obtained by ADMM (Alternating Direction Method of Multipliers) technique, which can handle designs for arrays with number of elements is significantly larger than that can be handled by other convex solvers such as CVX. In addition, although the available convex solvers can not provide a rank-1 solution matrix, a rank-1 solution matrix is obtained by modifying the ADMM iterations. In the conducted experiments, it is observed that proposed ADMM based method can achieve more than 10dB improvement in sidelobe levels compared to alternative techniques.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125034670","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
Sentence selection methods for text summarization 文本摘要的选句方法
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830198
A. Guran, Sumeyra Nur Arslan, Esma Kilic, B. Diri
{"title":"Sentence selection methods for text summarization","authors":"A. Guran, Sumeyra Nur Arslan, Esma Kilic, B. Diri","doi":"10.1109/SIU.2014.6830198","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830198","url":null,"abstract":"The aim of this work is to create text summaries by selecting the most important sentences of documents. For this aim 15 sentence selection methods are used. These methods are compared on the evaluation set created by 15 women and 15 men evaluators. The performance results of the systems that are obtained by using different sentence selecetion methods together are also analyzed and the results are shared.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126090228","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
A novel current controlled DVCC design based on FGMOS and filter applications 基于FGMOS和滤波器应用的新型电流控制DVCC设计
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830534
Okkes Gokalp Sokmen, M. Alçı
{"title":"A novel current controlled DVCC design based on FGMOS and filter applications","authors":"Okkes Gokalp Sokmen, M. Alçı","doi":"10.1109/SIU.2014.6830534","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830534","url":null,"abstract":"In this paper, a novel floating gate MOS (FGMOS) based current controlled differential voltage current conveyor (CCDVCC) structure is proposed. Major advantages of the proposed structure are circuit simplicity and low power dissipation. Only 6 MOS and 2 FGMOS transistors are employed in the design. Furthermore, as an application of CCDVCC a current controlled universal filter is presented. The CCDVCC and its filter applications are simulated by using SPICE. Simulation results confirm the theoretical approach.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126723927","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
Fusion and classification of synthetic aparture radar and multispectral sattellite data 合成孔径雷达与多光谱卫星数据的融合与分类
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830339
Tolga Bakirman, G. Bilgin, F. B. Sanli, E. Uslu, Mustafa Ustuner
{"title":"Fusion and classification of synthetic aparture radar and multispectral sattellite data","authors":"Tolga Bakirman, G. Bilgin, F. B. Sanli, E. Uslu, Mustafa Ustuner","doi":"10.1109/SIU.2014.6830339","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830339","url":null,"abstract":"In this study, synthetic aperture radar (SAR) and multispectral data are fused with different methods in order to observe the effect of fusion methods on the accuracy of different classification techniques. At the same time, different polarizations of SAR data are included in fusion process and results are examined. The fusion methods that are used in this study are Brovey Color Normalized, Hue Saturation Value (HSV), Gram - Schmidt (GS) Spectral Sharpening and Principal Components (PC) Spectral Sharpening. Fused images are classified using k-nearest neighbor, support vector machine and radial based function neural network. The study area is chosen on Menemen Plain, which contains agricultural lands, and it is located in İzmir. Multispectral RapidEye satellite image and TerraSAR-X radar data are used for the analysis. Achieved results were presented in the tables. The highest accuracy is achieved by K-NN classification of TerraSAR-X and VH fusion with GS method as 95.74%.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114959401","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
Detection of microRNA clusters associateci with prostate cancer 前列腺癌相关microRNA簇的检测
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830293
Ismail Haberal, H. Oğul
{"title":"Detection of microRNA clusters associateci with prostate cancer","authors":"Ismail Haberal, H. Oğul","doi":"10.1109/SIU.2014.6830293","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830293","url":null,"abstract":"MicroRNAs (miRNAs) are a class of small non-coding RNAs of 22 nucleotides which normally function as negative regulators of target mRNA expression at the posttran-scriptional level. miRNAs play a role for one or more target genes by suppressing in processes as growth, differentiation, proliferation and cell death. Recent evidence has shown that miRNA mutations or mis-expression correlate with various human cancers and indicates that miRNAs can function as tumour suppressors and oncogenes. MicroRNAs have been shown to repress the expression of important cancer-related genes and might prove useful in the diagnosis and treatment of cancer. In this study, hierarchical microRNA clusters are obtained through microarray expression data in order to analyze the microRNA prostate cancer relationships. Clustering results are evaluated by their biological relevance. It is seen that such approach can be useful in detectitn relationships between microRNAs and diseases.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115035084","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
Vision based personality analysis using transfer learning methods 基于视觉的迁移学习人格分析方法
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830663
A. Kındıroglu, L. Akarun, O. Aran
{"title":"Vision based personality analysis using transfer learning methods","authors":"A. Kındıroglu, L. Akarun, O. Aran","doi":"10.1109/SIU.2014.6830663","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830663","url":null,"abstract":"In this study, we investigate the techniques to automatically predict the extraversion trait among the Big Five personality traits (Openness to Experience, Conscientiousness, Extraversion, Agreableness, Emotional Stability) using visual nonverbal cues in small group meetings. Our aim is to increase the prediction accuracy by transferring the knowledge that can be extracted from conversational video blogs (vlogs) in video blogging sites, where there is vast amount of data, to predict personality with visual nonverbal cues in small group settings, where obtaining data is challenging. Our experiments show that, for predicting the extraversion trait, using vlogs as part of the training data results in higher accuracies than using only the small group meeting data.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112217","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信