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
Investigation of short-period ionospheric variation over Turkey 土耳其上空电离层短周期变化的研究
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830349
M. N. Deviren, F. Arıkan, O. Arikan
{"title":"Investigation of short-period ionospheric variation over Turkey","authors":"M. N. Deviren, F. Arıkan, O. Arikan","doi":"10.1109/SIU.2014.6830349","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830349","url":null,"abstract":"In this paper, characteristic of short-period ionospheric variability over Turkey is determined statistically by a novel metric. First and second moment of the variability of ionospheric variations is calculated by Sliding Window Statistical Analysis (SWSA) method in 2011, and the ionospheric variations are investigated using this novel metric. Ionospheric storms will be characterized over Turkey and North Cyprus Turkish Republic between 2009 and 2013.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"9 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":"124032098","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
Document table detection and analysis using projection scale space 基于投影尺度空间的文件表检测与分析
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830480
L. I. Kalyon, Y. S. Akgul
{"title":"Document table detection and analysis using projection scale space","authors":"L. I. Kalyon, Y. S. Akgul","doi":"10.1109/SIU.2014.6830480","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830480","url":null,"abstract":"Detection and analysis of tables on document images has been one of the most researched topics in document image processing. In this study, we define novel methods for the detection and analysis of tables from document images, and show their performance results on realistic table examples. The main method developed is projection-scale-space (PSS), where local and global constraints of the table in row basis are analyzed for consistency. PSS is robust to the character set used in a document, the image resolution and the noise ratio of a document image, and can perform detection operations in a highly effective manner. Furthermore, the method proposed works on tables with and without table borders and is able to analyze rows and columns of tables. The proposed method has been tested on a dataset of 105 documents containing 130 tables and the systems high performance has been stated in quantitative basis.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"81 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":"126232287","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 and evaluation of physical therapy exercises from wearable motion sensor signals by dynamic time warping 基于动态时间翘曲的可穿戴运动传感器信号的物理治疗运动检测与评估
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830523
Aras Yurtman, B. Barshan
{"title":"Detection and evaluation of physical therapy exercises from wearable motion sensor signals by dynamic time warping","authors":"Aras Yurtman, B. Barshan","doi":"10.1109/SIU.2014.6830523","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830523","url":null,"abstract":"We develop an autonomous system to detect and evaluate physical therapy exercises using wearable motion sensor units. We propose an algorithm based on the dynamic time warping (DTW) dissimilarity measure to detect the occurrences of one or more exercise types in the recording of a physical therapy session. The algorithm evaluates the exercises as correctly/incorrectly performed, identifying the error type, if any. To evaluate the algorithm's performance, we record a data set consisting of one template execution and 10 test executions of each of the three execution types of eight exercises performed by five subjects. We thus obtain a total of 120 and 1,200 exercise executions in the training and test sets, respectively. The test signals also contain idle time intervals. The proposed algorithm detects 1,125 executions in the whole test set, where 8.58% of the 1,200 executions are missed and 4.91% of the idle time intervals are incorrectly detected as executions. The accuracy is 93.46 % for exercise classification only and 88.65 % for simultaneous exercise and execution type classification. To test the behavior of the system in case of unknown movements, the algorithm is executed for each exercise by leaving out the templates of that exercise, resulting in only 10 false alarms out of 1,200 executions. This demonstrates the robustness of the system against unknown movements. The proposed system may be used both for estimating the intensity of a physical therapy session and for evaluating executions of an exercise to provide feedback to the patient and the physical therapy specialist.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"314 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":"128133996","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
Maximum-likelihood based 3D acoustical signature estimation 基于最大似然的三维声学特征估计
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830347
B. Gunel
{"title":"Maximum-likelihood based 3D acoustical signature estimation","authors":"B. Gunel","doi":"10.1109/SIU.2014.6830347","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830347","url":null,"abstract":"An audio recording, made in a real environment, carries an acoustical signature which changes according to the acoustical characteristics of the environment and the recording positions. This signature which is similar to a 3D room impulse response contains the directions, levels and arrival times of the direct source and reflections. Although it is easy to obtain reverberant recordings by convolving clean recordings with the acoustical signature, estimating the signature from any recording is a difficult inverse problem. Acoustical signature estimation is important in acoustical analysis, audio forensics for authentication, room size and shape estimation and improving speech intelligibility by dereverberation. In this work, the statistical modelling of intensity vector directions, which are obtained from compact microphone array recordings is made. Obtained statistical distribution is used for reducing the reverberation based on the maximum-likelihood estimation method. This dereverberated sound enables deconvolving the reverberant recordings to estimate the acoustical signature.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"15 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":"125416549","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
DWT subbands fusion using ant colony optimization for edge detection 基于蚁群优化的DWT子带融合边缘检测
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830488
A. Muhammad, Ibrahim Bala, M. Salman, Alaa Eleyan
{"title":"DWT subbands fusion using ant colony optimization for edge detection","authors":"A. Muhammad, Ibrahim Bala, M. Salman, Alaa Eleyan","doi":"10.1109/SIU.2014.6830488","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830488","url":null,"abstract":"In this paper, a new approach for image edge detection using wavelet based ant colony optimization (ACO) is proposed. The proposed approach applies discrete wavelet transform (DWT) on the image. ACO is applied to the generated four subbands (Approximation, horizontal, vertical, and diagonal) separately for edge detection. After obtaining edges from the 4 subbands, inverse DWT is applied to fuse the results into one image with same size as the original one. The proposed approach outperforms the conventional ACO approach.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"26 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":"125642328","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
An energy efficient routing technique and implementation in WSNs 无线传感器网络中的节能路由技术及实现
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830490
Abdullah Aydeger, E. Ghaleb, S. Oktug
{"title":"An energy efficient routing technique and implementation in WSNs","authors":"Abdullah Aydeger, E. Ghaleb, S. Oktug","doi":"10.1109/SIU.2014.6830490","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830490","url":null,"abstract":"In this work, an energy efficient routing technique for WSNs is introduced. Here the routes between the source nodes and the base station are formed considering the energy levels of the intermediate nodes. These routes are refreshed dynamically to recover topology changes and to keep the energy level of the nodes close to each other. The technique introduced together with data aggregation are implemented on the WSN testbed at the department of computer enngineering, ITU. The results obtained have shown that the routing technique introduced and data aggregation contribute to the lifetime of WSNs.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"183 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":"121935125","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
Blood vessel segmentation from retinal images based on enhencement methods 基于增强方法的视网膜图像血管分割
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830377
Zafer Yavuz, C. Köse
{"title":"Blood vessel segmentation from retinal images based on enhencement methods","authors":"Zafer Yavuz, C. Köse","doi":"10.1109/SIU.2014.6830377","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830377","url":null,"abstract":"Usage of Computer Aided Diagnostic (CAD) systems is increasing rapidly. Blood vessel segmentation on retinal fundus images could be used as a CAD system for diagnosis of various retinal diseases. In this paper, blood vessels are segmented on retinal fundus images. Firstly, Gabor filter and morphological top-hat transform are applied after preprocessing step in order to enhance blood vessels. Afterward, we performed p-tile thresholding method to obtain binary vessel image. At the last step a post processing method is applied to increase accuracy. In order to test the developed system, the images obtained from STARE and DRIVE databases are used. Finally, 94.02% of accuracy for STARE database and 94.59% of accuracy for DRIVE database are obtained as a result, which is promising.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"317 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":"115746869","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
Outage probability of a cooperative maximum ratio transmission 合作最大传动比传输的中断概率
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830344
Eylem Erdogan, Mahmut Sami Musta, T. Gucluoglu
{"title":"Outage probability of a cooperative maximum ratio transmission","authors":"Eylem Erdogan, Mahmut Sami Musta, T. Gucluoglu","doi":"10.1109/SIU.2014.6830344","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830344","url":null,"abstract":"In this paper, we present a cooperative communication system employing maximum ratio transmission technique and its outage probability performance over Rayleigh fading channels. Since maximum ratio transmission can achieve full diversity when used at transmitters having multiple antennas while requiring no complexity increase at the receiver, the proposed system can be a preferable structure to be used both at the source and amplify-forward type relays of wireless networks to provide high speed and reliable transmission in practice. For this system, average end-to-end signal to noise ratio is analyzed mathematically, moreover, our computer simulation results show the error performance for several scenarios.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"44 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":"115877151","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
Ship positioning by matching radar images and map data 通过匹配雷达图像和地图数据来定位船舶
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830506
Alican Aytaç, Orhan Aksoy, Y. S. Akgul
{"title":"Ship positioning by matching radar images and map data","authors":"Alican Aytaç, Orhan Aksoy, Y. S. Akgul","doi":"10.1109/SIU.2014.6830506","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830506","url":null,"abstract":"Satellite network based GPS system is the most accurate, accountable and practical method for determining geographical ship locations. However, GPS systems are not preferable since they are prone to external interferences, (ie, jammers). In this study, a method for determining ship positions by matching navigation or surveillance radar images and satellite images is introduced. For this purpose, an estimate for radar image is generated by a novel method using satellite or map image. Then, the estimated radar image is compared with the real radar image using cross correlation to generate a success rate. Then, this success rate is improved iteratively by updating estimated ship position. The algorithm was run with both simulated radar images and real radar images to evaluate the correctness of the estimated ship positions. The study results are promising in the sense that introduced algorithm can be industrialized after improvements.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":" 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":"131942210","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: 3
Exploiting the periodic beacon transmissions in channel link quality periodicity 利用信道链路质量周期性中的周期性信标传输
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830693
C. Gezer
{"title":"Exploiting the periodic beacon transmissions in channel link quality periodicity","authors":"C. Gezer","doi":"10.1109/SIU.2014.6830693","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830693","url":null,"abstract":"In this study we are exploiting the periodic nature of human activities in order to better utilize the channel between the on body sensors and a sink that collects the data coming from those sensors. We propose a health-care monitoring system where nodes having good quality links use the channel and the ones with poor quality links defer their packet transmissions until better link conditions. In such an adaptive way, the allocated bandwidth for the nodes with good quality links is also improved. We use the periodic beacons send by the IEEE 802.15.4 coordinator (sink) for the link quality estimation. Besides, we define a two-level prioritization scheme compatible with IEEE 802.15.4, for different application requirements.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"80 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":"132110610","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
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