Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204653
Seda Ustun Ercan, H. Gökalp
An in-band interference occurs when a part of transmission band is simultaneously used by another application and raise the noise floor and reduce signal ratio/noise ratio(SNR). In channel sounding, measurement campaigns are expensive and difficult to repeat since every channel data is valuable for a sound channel. In this study `Minimum Norm' method was used to reduce the effect of interference in the frequency modulated continuous-wave (FMCW) channel data. The minimum norm method reduced the noise floor by about 20 dB for the channel data with in-band interference.
{"title":"In-band interference reduction using Minimum Norm method in frequency modulated continuous wave channel data","authors":"Seda Ustun Ercan, H. Gökalp","doi":"10.1109/SIU.2012.6204653","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204653","url":null,"abstract":"An in-band interference occurs when a part of transmission band is simultaneously used by another application and raise the noise floor and reduce signal ratio/noise ratio(SNR). In channel sounding, measurement campaigns are expensive and difficult to repeat since every channel data is valuable for a sound channel. In this study `Minimum Norm' method was used to reduce the effect of interference in the frequency modulated continuous-wave (FMCW) channel data. The minimum norm method reduced the noise floor by about 20 dB for the channel data with in-band interference.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"161 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133322646","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204517
M. Yildirim, U. Uludag
In this study, an approach is developed for automatic gender classification from human face images. For representing the face images, different kinds of feature extraction methods (Local Binary Pattern operator, Gabor filtering, Local Gabor Binary Pattern operator) are used. The feature vectors are tested with AdaBoost and Support Vector Machine (SVM) algorithms. The experiments conducted on the face images from the MORPH database show that our method outperforms the current state of the art methods.
{"title":"Gender identification from face images","authors":"M. Yildirim, U. Uludag","doi":"10.1109/SIU.2012.6204517","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204517","url":null,"abstract":"In this study, an approach is developed for automatic gender classification from human face images. For representing the face images, different kinds of feature extraction methods (Local Binary Pattern operator, Gabor filtering, Local Gabor Binary Pattern operator) are used. The feature vectors are tested with AdaBoost and Support Vector Machine (SVM) algorithms. The experiments conducted on the face images from the MORPH database show that our method outperforms the current state of the art methods.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133596440","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204446
I. Çiçek, A. E. Pusane, Günhan Dündar
True Random Number Generators, vital and indispensable primitives of cryptography, are systems that generate identically distributed, independent, and unpredictable numbers. In this work, we study and evaluate the true random number generation potential and feasibility of a one dimensional chaotic function over a customly developed mathematical model of logistic map in MATLAB as an alternative example to existing topologically complex, hard to analyze and design continuous time chaos based true random number generators.We have generated random numbers using the model and applied NIST 800.22 statistical tests. Results reveal the true random number generation potential of one dimensional chaotic function when certain conditions are met.
{"title":"A feasibility study of a 1D chaotic map for True Random Number Generation","authors":"I. Çiçek, A. E. Pusane, Günhan Dündar","doi":"10.1109/SIU.2012.6204446","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204446","url":null,"abstract":"True Random Number Generators, vital and indispensable primitives of cryptography, are systems that generate identically distributed, independent, and unpredictable numbers. In this work, we study and evaluate the true random number generation potential and feasibility of a one dimensional chaotic function over a customly developed mathematical model of logistic map in MATLAB as an alternative example to existing topologically complex, hard to analyze and design continuous time chaos based true random number generators.We have generated random numbers using the model and applied NIST 800.22 statistical tests. Results reveal the true random number generation potential of one dimensional chaotic function when certain conditions are met.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746145","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204724
Ali Can Karaca, A. Ertürk, M. Güllü, Muharrem Elmas, S. Ertürk
Hyperspectral imaging systems provide many images resulting from spectral representations of scanned 2D surfaces. Analysis of questioned documents in forensic investigations can be realized by using hyperspectral imaging techniques. In this study we present the usage of a method, which technically depends on basic theories and approaches is presented in detail. This is realized by our hyperspectral imaging system. This system is used to measure the spectra of 2D surfaces. The tests in this study are conducted using different pens and papers. Satisfactory results are obtained, and interpreted, through the analysis of the obtained data.
{"title":"Analysis of evidence in forensic documents using hyperspectral imaging system","authors":"Ali Can Karaca, A. Ertürk, M. Güllü, Muharrem Elmas, S. Ertürk","doi":"10.1109/SIU.2012.6204724","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204724","url":null,"abstract":"Hyperspectral imaging systems provide many images resulting from spectral representations of scanned 2D surfaces. Analysis of questioned documents in forensic investigations can be realized by using hyperspectral imaging techniques. In this study we present the usage of a method, which technically depends on basic theories and approaches is presented in detail. This is realized by our hyperspectral imaging system. This system is used to measure the spectra of 2D surfaces. The tests in this study are conducted using different pens and papers. Satisfactory results are obtained, and interpreted, through the analysis of the obtained data.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121117206","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204430
Cansu Gonulalan, U. Leloglu, U. Sakarya
Automated Firearms Identification (AFI) systems assist to shed lights on criminal events by comparing evidences on cartridge cases and bullets and by matching similar ones that were fired from the same firearm. However, comparison process is difficult due to increased amount of incidents. Therefore, firearm brand detection is a useful step for the ballistic investigations to limit the comparison set and to increase the performance. In this paper, we propose global shape characteristics based classification for firearm brand detection. The proposed method makes use of autocorrelation function and power spectral density of the cartridge case area to extract the features related to global shape characteristics.
{"title":"Global shape characteristics based classification for firearm brand detection","authors":"Cansu Gonulalan, U. Leloglu, U. Sakarya","doi":"10.1109/SIU.2012.6204430","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204430","url":null,"abstract":"Automated Firearms Identification (AFI) systems assist to shed lights on criminal events by comparing evidences on cartridge cases and bullets and by matching similar ones that were fired from the same firearm. However, comparison process is difficult due to increased amount of incidents. Therefore, firearm brand detection is a useful step for the ballistic investigations to limit the comparison set and to increase the performance. In this paper, we propose global shape characteristics based classification for firearm brand detection. The proposed method makes use of autocorrelation function and power spectral density of the cartridge case area to extract the features related to global shape characteristics.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121277052","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204743
E. Akdemir, I. Y. Özbek, T. Çiloglu
In this study, the locus equations of Turkish plosives are examined. The speech database including all the combinations of Turkish plosives and vowels is prepared for this purpose. The formant frequencies of plosives and successive vowels are manually determined for the speech data in the database. The locus equations for Turkish plosives are determined by using this data. The observations show that the parameters of locus equations can be a very distinctive feature for Turkish plosives.
{"title":"Locus equations for Turkish plosives","authors":"E. Akdemir, I. Y. Özbek, T. Çiloglu","doi":"10.1109/SIU.2012.6204743","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204743","url":null,"abstract":"In this study, the locus equations of Turkish plosives are examined. The speech database including all the combinations of Turkish plosives and vowels is prepared for this purpose. The formant frequencies of plosives and successive vowels are manually determined for the speech data in the database. The locus equations for Turkish plosives are determined by using this data. The observations show that the parameters of locus equations can be a very distinctive feature for Turkish plosives.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117273922","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204813
Cagri Guvenel, Ahmet Tekyildiz, Cagin Turkoglu, C. Yildiz, Ayhan Kucukmanisa, A. Çelebi, O. Urhan, M. Güllü, S. Ertürk
In this paper an uncooled infrared camera with embedded target detection and tracking capability is presented. The camera is built upon four main electronic cards. Sensor card is designed to read and digitize the analog output signal generated by the infrared (IR) imaging sensor. FPGA card carries out the control process of the data transfer between sensor card and other peripherals. Target detection/tracking task is on the row image data provided by the FPGA card is carried out on the DSP card. Frame thresholding and differencing methods are used for target detection. Kalman filter is utilized for target tracking. According to the experimental results, camera is capable of performing target detection and tracking tasks in real time.
{"title":"An uncooled infrared camera with embedded real-time target tracking capability","authors":"Cagri Guvenel, Ahmet Tekyildiz, Cagin Turkoglu, C. Yildiz, Ayhan Kucukmanisa, A. Çelebi, O. Urhan, M. Güllü, S. Ertürk","doi":"10.1109/SIU.2012.6204813","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204813","url":null,"abstract":"In this paper an uncooled infrared camera with embedded target detection and tracking capability is presented. The camera is built upon four main electronic cards. Sensor card is designed to read and digitize the analog output signal generated by the infrared (IR) imaging sensor. FPGA card carries out the control process of the data transfer between sensor card and other peripherals. Target detection/tracking task is on the row image data provided by the FPGA card is carried out on the DSP card. Frame thresholding and differencing methods are used for target detection. Kalman filter is utilized for target tracking. According to the experimental results, camera is capable of performing target detection and tracking tasks in real time.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115986348","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204694
M. Baygin, Mehmet Karaköse
By the improvement of the technology, the applications used for simplifying the daily life create an important work area day after day. In this study, an equipment control component that could be used as intelligence home application based on voice recognition was improved. By this aim, database belonging to intended control voices like turn on the lamp, close the curtain was created by pre-processing the steps of the voice samples taken from five people. For education and test steps, the performance of the algorithm was compared by using Euclidian distance method, artificial neural network and dynamic time warping algorithm separately in the voice recognition step. As for the recognition step, the proposed algorithms were verified by the implementation of the duties that correspond to pairing words as real time on the control cards.
{"title":"Real time voice recognition based smart home application","authors":"M. Baygin, Mehmet Karaköse","doi":"10.1109/SIU.2012.6204694","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204694","url":null,"abstract":"By the improvement of the technology, the applications used for simplifying the daily life create an important work area day after day. In this study, an equipment control component that could be used as intelligence home application based on voice recognition was improved. By this aim, database belonging to intended control voices like turn on the lamp, close the curtain was created by pre-processing the steps of the voice samples taken from five people. For education and test steps, the performance of the algorithm was compared by using Euclidian distance method, artificial neural network and dynamic time warping algorithm separately in the voice recognition step. As for the recognition step, the proposed algorithms were verified by the implementation of the duties that correspond to pairing words as real time on the control cards.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116302050","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204767
Orhan Firat, O. Tursun, F. Yarman-Vural
In literature, many target-specific methods are available for target detection on satellite images. Yet for many targets, intra-class variance is high. This situation results in decreased detection performance after generalization. Airfield is one of the targets with high intra-class variance in satellite images. This variance is caused by different compositions observed in airfields. Hence, approaches which aim at detecting airfields in specific regions and compositions are either unsuccessful or inapplicable to images taken from different regions. Context invariants make it possible to generalize target detection algorithms for varying target compositions and regions. In this study, context invariants are proposed for airfield region-of-interest detection and it is observed that context invariance plays an important role in developing robust and reliable algorithm for varying region, climate and compositions.
{"title":"Application of context invariants in airport region of interest detection for multi-spectral satellite imagery","authors":"Orhan Firat, O. Tursun, F. Yarman-Vural","doi":"10.1109/SIU.2012.6204767","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204767","url":null,"abstract":"In literature, many target-specific methods are available for target detection on satellite images. Yet for many targets, intra-class variance is high. This situation results in decreased detection performance after generalization. Airfield is one of the targets with high intra-class variance in satellite images. This variance is caused by different compositions observed in airfields. Hence, approaches which aim at detecting airfields in specific regions and compositions are either unsuccessful or inapplicable to images taken from different regions. Context invariants make it possible to generalize target detection algorithms for varying target compositions and regions. In this study, context invariants are proposed for airfield region-of-interest detection and it is observed that context invariance plays an important role in developing robust and reliable algorithm for varying region, climate and compositions.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115012469","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204598
C. P. Uzunoğlu, M. Uğur
Chaotic ferroresonance is one of the disturbances of a power system, which may cause chaotic oscillations with over voltages and over currents. In order to protect system and keep it stable the frequency estimation should be fulfilled accurately. In this study first chaotic oscillations of ferroresonance are modeled with forced Duffing oscillator's dynamical equations. MUSIC (Multiple Signal Classification) and ESPRIT (Estimation of Parameters by Rotationally Invariant Technique) methods are proposed for frequency estimation of chaotically distorted power system signals. Frequency is estimated efficiently by using the MUSIC and ESPRIT methods. Finally, computer simulations have been carried out for the performance analysis of the proposed methods and the comparison results of the proposed methods based on the SNR (Signal to noise ratio) values are given.
混沌铁磁共振是电力系统的扰动之一，它会引起过电压和过电流的混沌振荡。为了保护系统，保持系统稳定，需要准确地完成频率估计。本文首先用强迫Duffing振子的动力学方程来模拟铁共振的混沌振荡。针对电力系统混沌失真信号的频率估计问题，提出了MUSIC (Multiple Signal Classification)和ESPRIT (Estimation of Parameters by rotrotinvariant Technique)方法。利用MUSIC和ESPRIT方法对频率进行了有效估计。最后，通过计算机仿真对所提方法进行了性能分析，并给出了基于信噪比(SNR)值的比较结果。
{"title":"Frequency estimation of power system signals with chaotic oscillations using music and esprit algorithms","authors":"C. P. Uzunoğlu, M. Uğur","doi":"10.1109/SIU.2012.6204598","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204598","url":null,"abstract":"Chaotic ferroresonance is one of the disturbances of a power system, which may cause chaotic oscillations with over voltages and over currents. In order to protect system and keep it stable the frequency estimation should be fulfilled accurately. In this study first chaotic oscillations of ferroresonance are modeled with forced Duffing oscillator's dynamical equations. MUSIC (Multiple Signal Classification) and ESPRIT (Estimation of Parameters by Rotationally Invariant Technique) methods are proposed for frequency estimation of chaotically distorted power system signals. Frequency is estimated efficiently by using the MUSIC and ESPRIT methods. Finally, computer simulations have been carried out for the performance analysis of the proposed methods and the comparison results of the proposed methods based on the SNR (Signal to noise ratio) values are given.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115125450","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}
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