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

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Computer monitoring and control with hand movements 用手的动作进行计算机监控和控制
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830678
R. Ö. Dogan, C. Köse
{"title":"Computer monitoring and control with hand movements","authors":"R. Ö. Dogan, C. Köse","doi":"10.1109/SIU.2014.6830678","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830678","url":null,"abstract":"The devices such as mouse, keyboard used for controlling of computer have various limitations. The users must make physical contact with the devices and have a restricted away because of connection with wire to control computer by using these devices. Traditional communication devices for computer-person can't provide user wireless computer control without any physical. In this study, Computer monitoring and controlling with hand movements are implemented by using image processing and computer vision techniques to minimize these limitations. In proposed study, firstly it is expected that the user enters camera's field of view using computer camera. face of user entering the camera's field of view is detected with Haar Classifier. Hand region is detected by finding the dynamic range of skin color in YCbCr color space from the facial region. The hand region is tracked with Biggest Blob Tracking Technique, and features of hand are extracted by using Convexity Defect-Hull during tracking. Finally, position of mouse is controlled according to features of hand region, and Computer monitoring and controlling with hand movements are implemented by tracking hand gestures.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"39 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":"129429735","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
System identification using Hammerstein model 使用Hammerstein模型进行系统识别
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830476
Selcuk Mete, S. Ozer, H. Zorlu
{"title":"System identification using Hammerstein model","authors":"Selcuk Mete, S. Ozer, H. Zorlu","doi":"10.1109/SIU.2014.6830476","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830476","url":null,"abstract":"In literature, various linear and nonlinear model structures are defined to identify the systems. Linear models such as Finite Impulse Response (FIR), Infinite Impulse Response (IIR) and Autoregressive (AR) are used in the situations that the input-output relation is signified through linear equivalence. However because of the nonlinear structure of the systems in real life, nonlinear models are developed. Volterra, Bilinear and polynomial autoregressive (PAR) are the examples of nonlinear models. In literature, there are also block oriented models to cascade the linear and nonlinear systems such as Hammerstein, Wiener and Hammerstein Wiener. These models are preferred because of practical use and effective prediction of wide nonlinear process. In this study, system identification applications of Hammerstein model that is cascade of nonlinear Volterra model and linear FIR model. Least mean Square (LMS) and Recursive Least Square (RLS) algorithms are used to identify the Hammerstein model parameters. Furthermore, The results are compared with the FIR model and Volterra model results to identify the success of Hammerstein model.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"19 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":"129678746","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: 10
Just-37 interval system — A complete set of natural harmonics for Turkish maqams Just-37区间系统-土耳其maqams的一套完整的自然谐波
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830218
S. G. Tanyer
{"title":"Just-37 interval system — A complete set of natural harmonics for Turkish maqams","authors":"S. G. Tanyer","doi":"10.1109/SIU.2014.6830218","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830218","url":null,"abstract":"Identification and classification of music signals provide solutions for multi-media applications including categorized data sharing over the web. The mathematical analysis of music requires features for discriminating; East-West; Turkish-Arab-Chinese-Indian; blues-jazz-classical music etc. The widely used twelve-tone equal temperament (12-TET) interval system for the classical music and the just tones preferred by the East is readily distinguishable by time-frequency analyses. Unfortunately, this is not exactly true when the analyzed music are all based on those harmonics, namely `the fifths' where Turkish maqams are good examples. The musical interval systems must be analyzed and for each type, distinguishable features should be found. In this work, the problem of identification of Turkish maqams is examined. The various lists for maqams are unified on a single list, possibly filtering out some of the possible misleading information. The latest and widely accepted Arel-Ezgi-Uzdilek interval system and its missing maqams; `Dik Geveşt' and `Dik Puselik' are analyzed. The just 37 interval system which includes those missing maqams and as well as forgotten maqams of the past is proposed.","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":"130389867","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
Mean shift based target tracking robust to illuminance variation in infrared image sequences 基于平均位移的红外图像序列目标跟踪对照度变化的鲁棒性
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830378
Hamza Soganci, Aysun Çoban
{"title":"Mean shift based target tracking robust to illuminance variation in infrared image sequences","authors":"Hamza Soganci, Aysun Çoban","doi":"10.1109/SIU.2014.6830378","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830378","url":null,"abstract":"In this paper, a Mean Shift based target tracking approach for infrared image sequences is proposed. Well known Mean Shift method tracks a target in the image using its color histogram. But this approach can fail in infrared image sequences due to several reasons like illuminance variation. However it is possible to improve the performance of Mean Shift approach by using different features. In this paper a feature that does not depend much on illuminance variations is used. Performance of this approach is compared against the standard Mean Shift approach using several infrared image sequences.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"14 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":"126842291","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
RF based enhancement of İÇKON system 基于射频的İÇKON系统增强
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830250
Veli Bayar, Uğur Yayan, Hikmet Yucel, A. Yazıcı
{"title":"RF based enhancement of İÇKON system","authors":"Veli Bayar, Uğur Yayan, Hikmet Yucel, A. Yazıcı","doi":"10.1109/SIU.2014.6830250","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830250","url":null,"abstract":"Localization plays an important role in many applications. One of the positioning systems developed for indoor environments is İÇKON that can calculate the position of an object at cm accuracy by using pure ultrasonic signals. In this study, the ICKON system is switched to wireless sensor network to reduce setup time, and a mobile application is developed to determine transmitter positions. Switching to wireless infrastructure also provides to use the existing wireless communication infrastructure in indoor environments.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"12 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":"123910248","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
Congestion relief for extraordinary situations 特殊情况下的拥堵缓解
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830529
O. Ones, M. O. Sarkan, A. Akcakoca
{"title":"Congestion relief for extraordinary situations","authors":"O. Ones, M. O. Sarkan, A. Akcakoca","doi":"10.1109/SIU.2014.6830529","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830529","url":null,"abstract":"In some extraordinary situations like natural disasters or terrorist attacks, cellular mobile networks may face dramatically increased network traffics. Due to GSM network architecture, the number of available radio traffic channels within a cell is limited and this limitation may cause traffic congestions on such conditions. These congestions may drop the quality of mobile subscriber service channels. With our study a new experimental approach method for congestion relief for extra ordinary situations is proposed which is tested at a GSM operator network to keep the quality of network sustainable and at maximum efficiency. Basic concept of offered solution approach is to use limited number of radio network channels more effectively at the time of extraordinary situations.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"19 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":"123620779","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
Analysis of normal and epileptic EEG signals with filtering methods 滤波法分析正常与癫痫脑电信号
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830620
Duygu Gür, T. Kaya, M. Türk
{"title":"Analysis of normal and epileptic EEG signals with filtering methods","authors":"Duygu Gür, T. Kaya, M. Türk","doi":"10.1109/SIU.2014.6830620","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830620","url":null,"abstract":"EEG signals taken from brain surface have low amplitude and low frequency band and are nonstationary biological signals. The other electrical signals in the environment and originated from the voluntary-involuntary movements of the person may cause additional noise. So EEG records, like other biological signals, requires accurate measurement. In this study, normal/ epileptic EEG signals in relating to the WAG / Rij rats, high frequency and low frequency noise were suppressed by moving average filter and derivative-based filter, respectively. Then, the frequency spectrum of the signals were presented. Thus, it was aimed to diagnose illness by comparing the frequency band of signals concentrated intended.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"16 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":"121183165","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
Toponym recognition on Turkish tweets 土耳其语推文的地名识别
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830590
Kezban Dilek Onal, P. Senkul, Ruken Cakici
{"title":"Toponym recognition on Turkish tweets","authors":"Kezban Dilek Onal, P. Senkul, Ruken Cakici","doi":"10.1109/SIU.2014.6830590","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830590","url":null,"abstract":"In recent years, Twitter has become a popular platform for following and spreading trends, news and ideas all over the world. Geographical scope of tweets is crucial to many tasks like disaster management, event tracking and information retrieval. First step for assigning a geographical location to a tweet is toponym recognition. Toponym Recognition (Geoparsing) is identification of toponyms (place names) in a text. In this study, we investigated performance of three existing approaches for toponym recognition on Turkish tweets. We conducted experiments for measuring performance of the existing approaches on a sample data set. Best results have been obtained with the NER algorithm by Küçük et.al. However, we observed that existing NER algorithms for Turkish neglect the syntactic and semantic features of text.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"6 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":"121342455","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
User identification using Keystroke Dynamics 使用击键动力学的用户识别
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830421
Y. Can, Fatih Alagöz
{"title":"User identification using Keystroke Dynamics","authors":"Y. Can, Fatih Alagöz","doi":"10.1109/SIU.2014.6830421","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830421","url":null,"abstract":"Traditional user authentication or identification systems are interested in something that you possess (like a key, an identification card, etc.) or something you already know (like a password, or a PIN). With biometrics, this interest has been shifted towards a different approach :something that are part of you (fingerprints or face) or something you make (e.g., handwritten signature or voice). Identification system works in such a way that the system obtains one sample and compares with each record in the database. This method is a comparison named “one-to-many. Behaviours and rhythms of the typing characters are used as a biometric authentication system named as Keystroke Dynamics. Unlike most identification systems that require specific hardware, keystroke dynamics requires only a keyboard. In the proposed approach, short fixed text is used like in the login approaches. The d-variate Gaussian, kNN and decision tree algorithms are tested on CMU keystroke database.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"73 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":"114170028","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
Classification of simple text reading and mathematical tasks from EEG 简单文本阅读和数学任务的脑电分类
2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI: 10.1109/SIU.2014.6830195
S. Göksel, Eraldemir İskenderun, Meslek Yüksekokulu, Mustafa Kemal, Üniversitesi Hatay, Türkiye, Esen Yıldırım, Bilgisayar Mühendisligi, I. Giriş
{"title":"Classification of simple text reading and mathematical tasks from EEG","authors":"S. Göksel, Eraldemir İskenderun, Meslek Yüksekokulu, Mustafa Kemal, Üniversitesi Hatay, Türkiye, Esen Yıldırım, Bilgisayar Mühendisligi, I. Giriş","doi":"10.1109/SIU.2014.6830195","DOIUrl":"https://doi.org/10.1109/SIU.2014.6830195","url":null,"abstract":"All types of brain activity produce electrical signals. These signals emerge during body movement, as well as at the stage of thinking and they can be recorded using an EEG device. In this study EEG signals of healthy volunteers were recorded during simple mathematical tasks and text reading. The aim of the study is to discriminate these activities from recorded EEG signals. For this purpose we used EEG signals recorded from healthy volunteers using international 10-20 electrode placing system. Features are extracted using wavelet transform and they used for classification using Bayesian Classifiers. As a result of the study EEG signals, recorded during mathematical operations and text reading, were classified with a true positive rate of 89.1% and a precision rate of 89.2% on the average.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"520 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":"116265311","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
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