Pub Date : 2013-07-11DOI: 10.1109/ISSCS.2013.6651176
L. Stanciu, C. Stanciu
The power spectral density of a signal can be estimated most accurately by using a window that can attain a narrower main lobe width and a higher decay rate. Conventional windows are able to control these characteristics by only one parameter, so there is a trade-off problem. To reduce the effect of spectral leakage, a window function can be used whose amplitude tapers smoothly and gradually toward zero at both ends. The spectral methods are accurate for smooth functions and we propose using grouped B-spline windows with three control parameters for power spectral density estimation and analyze its characteristics.
{"title":"Grouped B-spline windows for power spectral density estimation","authors":"L. Stanciu, C. Stanciu","doi":"10.1109/ISSCS.2013.6651176","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651176","url":null,"abstract":"The power spectral density of a signal can be estimated most accurately by using a window that can attain a narrower main lobe width and a higher decay rate. Conventional windows are able to control these characteristics by only one parameter, so there is a trade-off problem. To reduce the effect of spectral leakage, a window function can be used whose amplitude tapers smoothly and gradually toward zero at both ends. The spectral methods are accurate for smooth functions and we propose using grouped B-spline windows with three control parameters for power spectral density estimation and analyze its characteristics.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128905047","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651211
C. Teodor, Bashar Alzenk, R. Constantinescu, M. Datcu
In this paper we perform land cover classification using hyperspectral data acquired by the EO-1 Hyperion spaceborne platform using Latent Dirichlet Allocation text modeling tool, experiments being carried on a Hyperion data scene acquired on 13 May 2011, covering an agricultural area located east of Bucharest, Romania.
{"title":"Unsupervised classification of EO-1 hyperion hyperspectral data using Latent Dirichlet Allocation","authors":"C. Teodor, Bashar Alzenk, R. Constantinescu, M. Datcu","doi":"10.1109/ISSCS.2013.6651211","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651211","url":null,"abstract":"In this paper we perform land cover classification using hyperspectral data acquired by the EO-1 Hyperion spaceborne platform using Latent Dirichlet Allocation text modeling tool, experiments being carried on a Hyperion data scene acquired on 13 May 2011, covering an agricultural area located east of Bucharest, Romania.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128306904","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651255
M. Zbancioc, S. M. Feraru
The automatic segmentation of the vocal signal precedes the features extraction stages, respectively the emotion recognition/classification. The extraction of the prosodic parameters as fundamental frequency (F0) and formants (F1-F4) cepstral coefficients LPCC and MFCC are made only on the vowel areas. The analysis tools from the SROL corpus are using a hybrid hierarchical system with four segmentation methods based on the autocorrelation function, AMDF method, the cepstral analysis and HPS method. Since the performance of this instrument has not been yet satisfactory, we analyzed other segmentation possibilities in order to obtain the best possible accuracy in segmentation. The predictive neural network used in this paper is in fact a simple perceptron which can approximate with high accuracy the quasi-periodic signals such as the vowels. The consonants have noisy properties and are complicated transition processes. The prediction error for the consonants comparing with the vowels is higher when it is used a sample neural network architecture.
{"title":"The automatic segmentation of the vocal signal using predictive neural network","authors":"M. Zbancioc, S. M. Feraru","doi":"10.1109/ISSCS.2013.6651255","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651255","url":null,"abstract":"The automatic segmentation of the vocal signal precedes the features extraction stages, respectively the emotion recognition/classification. The extraction of the prosodic parameters as fundamental frequency (F0) and formants (F1-F4) cepstral coefficients LPCC and MFCC are made only on the vowel areas. The analysis tools from the SROL corpus are using a hybrid hierarchical system with four segmentation methods based on the autocorrelation function, AMDF method, the cepstral analysis and HPS method. Since the performance of this instrument has not been yet satisfactory, we analyzed other segmentation possibilities in order to obtain the best possible accuracy in segmentation. The predictive neural network used in this paper is in fact a simple perceptron which can approximate with high accuracy the quasi-periodic signals such as the vowels. The consonants have noisy properties and are complicated transition processes. The prediction error for the consonants comparing with the vowels is higher when it is used a sample neural network architecture.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121605155","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651259
V. Anghel, G. Pristavu, G. Brezeanu
A solution for increasing a current mode floating buck controller's versatility, through the use of a peak voltage extension block, is investigated, implemented and its performances are measured. Most current controller architectures have limitations that impose harsh application-constraints. This paper proposes a new method of reducing those limitations by allowing precise, linear, external control of the peak voltage threshold. The solution is especially useful in applications where each instance of the buck controller needs to be individually adjusted to meet specifications.
{"title":"Forcing the limits — Peak voltage extension for floating buck controller","authors":"V. Anghel, G. Pristavu, G. Brezeanu","doi":"10.1109/ISSCS.2013.6651259","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651259","url":null,"abstract":"A solution for increasing a current mode floating buck controller's versatility, through the use of a peak voltage extension block, is investigated, implemented and its performances are measured. Most current controller architectures have limitations that impose harsh application-constraints. This paper proposes a new method of reducing those limitations by allowing precise, linear, external control of the peak voltage threshold. The solution is especially useful in applications where each instance of the buck controller needs to be individually adjusted to meet specifications.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127078383","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651252
C. V. Marian, V. Croitoru, D. Oprea
In communication networks, when new equipment is inserted, in order to communicate with its neighbors it has to be preconfigured or to have the capability to auto configure itself. The paper proposes a protocol implementation as a possible approach to verify and manage the default configuration of two connected network elements (nodes or end devices). The protocol could be used in various scenarios, if the initial configuration was done by a human operator or if it was automatically generated. The protocol focuses on the communication between neighbors and is independent of the mechanism used for initial configuration of each equipment.
{"title":"Proposed communication protocol between network nodes and address exchange","authors":"C. V. Marian, V. Croitoru, D. Oprea","doi":"10.1109/ISSCS.2013.6651252","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651252","url":null,"abstract":"In communication networks, when new equipment is inserted, in order to communicate with its neighbors it has to be preconfigured or to have the capability to auto configure itself. The paper proposes a protocol implementation as a possible approach to verify and manage the default configuration of two connected network elements (nodes or end devices). The protocol could be used in various scenarios, if the initial configuration was done by a human operator or if it was automatically generated. The protocol focuses on the communication between neighbors and is independent of the mechanism used for initial configuration of each equipment.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126726531","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651204
O. Buzatu, A. Savin
Recently has been reported that spectral saliency detection methods provide state-of-the-art performances in predicting human eyes fixations. However, key information about the perceptual behavior of the human visual system (HVS) is mostly neglected in developing new saliency methods. Adding amplitude spectrum information, based on the contrast sensitivity of the HVS, combined with the phase spectrum of the quaternion Fourier transform (QFT), a human gaze prediction model is proposed. Comparative tests results proved that the proposed method outperforms most of the quaternion spectral based existing models.
{"title":"Saliency based on human visual sensitivity and phase spectrum of the quaternion Fourier transform","authors":"O. Buzatu, A. Savin","doi":"10.1109/ISSCS.2013.6651204","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651204","url":null,"abstract":"Recently has been reported that spectral saliency detection methods provide state-of-the-art performances in predicting human eyes fixations. However, key information about the perceptual behavior of the human visual system (HVS) is mostly neglected in developing new saliency methods. Adding amplitude spectrum information, based on the contrast sensitivity of the HVS, combined with the phase spectrum of the quaternion Fourier transform (QFT), a human gaze prediction model is proposed. Comparative tests results proved that the proposed method outperforms most of the quaternion spectral based existing models.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128392548","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651232
Adrian Tudoroiu, D. Coltuc
This paper continues our research on high capacity prediction error expansion reversible watermarking. Three prediction error expansion (PEE) schemes are considered, namely histogram shifting (HS), location map (LM) and block map (BM) schemes. Their performances for embedding capacities greater than 1 bit per pixel are analyzed. For embedding capacity less than 1 bit per pixel, it is known that the PEE-HS schemes outperform the PEE-LM and PEE-BM schemes. The paper shows that as the capacity increases, the location map schemes and notably the block map schemes outperform the histogram shifting ones. Experimental results are provided.
{"title":"Local map versus histogram shifting for prediction error expansion reversible watermarking","authors":"Adrian Tudoroiu, D. Coltuc","doi":"10.1109/ISSCS.2013.6651232","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651232","url":null,"abstract":"This paper continues our research on high capacity prediction error expansion reversible watermarking. Three prediction error expansion (PEE) schemes are considered, namely histogram shifting (HS), location map (LM) and block map (BM) schemes. Their performances for embedding capacities greater than 1 bit per pixel are analyzed. For embedding capacity less than 1 bit per pixel, it is known that the PEE-HS schemes outperform the PEE-LM and PEE-BM schemes. The paper shows that as the capacity increases, the location map schemes and notably the block map schemes outperform the histogram shifting ones. Experimental results are provided.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130840991","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651193
E. Petac, Abdel-Rahman Alzoubaidi, P. Duma
One of the most currently important security problems on the Internet network is Distributed Denial of Service (DDoS) attacks. There are many solutions [1], [2] for analysis and protection against DDoS attacks at the terminal equipment level (system client, server system), but there is still no universally valid solution for any type of DDoS attack, at the network level. Our proposed method is based on the results of informational correlation [3] to the statistical control study, considering the three partitions of traffic flow defined in [4]. In the second part of the paper we present the technologies and the software solutions we used for the development and implementation of a monitoring application, identification and filtering of DDoS attacks. The theoretical issues that concern the proposed method are presented in the third part of the paper. The application testing made in a virtual and in a real environment is presented in the fourth part of the paper.
{"title":"Some experimental results about security solutions against DDoS attacks","authors":"E. Petac, Abdel-Rahman Alzoubaidi, P. Duma","doi":"10.1109/ISSCS.2013.6651193","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651193","url":null,"abstract":"One of the most currently important security problems on the Internet network is Distributed Denial of Service (DDoS) attacks. There are many solutions [1], [2] for analysis and protection against DDoS attacks at the terminal equipment level (system client, server system), but there is still no universally valid solution for any type of DDoS attack, at the network level. Our proposed method is based on the results of informational correlation [3] to the statistical control study, considering the three partitions of traffic flow defined in [4]. In the second part of the paper we present the technologies and the software solutions we used for the development and implementation of a monitoring application, identification and filtering of DDoS attacks. The theoretical issues that concern the proposed method are presented in the third part of the paper. The application testing made in a virtual and in a real environment is presented in the fourth part of the paper.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131251181","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651213
Roxana Aldea, O. Eva
This paper proposes a method for highlighting the characteristics of sensorimotor rhythms (mu and beta). The electroencephalographic (EEG) data were recorded with 8 g.tec active electrodes by means of g.MOBIlab+ module. The EEG signals were filtered with a fifth order Butterworth band-pass filter between 0 and 30Hz and then the independent component analysis (ICA) was applied. The coefficient of determination (r2) has been computed for both situations, comparing the EEG spectra associated with each motor-imagery task with the spectra recorded in resting conditions. ICA and the coefficient of determination help us to demonstrate that the recorded data can be used to implement a brain computer interface (BCI) based on motor imagery tasks. Imagining left hand movement produces a desynchronization on CP4 and C4 electrodes in the right side of the scalp, while imagining right hand movement produces a desynchronization on CP3, C3 and P3 electrodes, on the left side of the brain.
{"title":"Detecting sensorimotor rhythms from the EEG signals using the independent component analysis and the coefficient of determination","authors":"Roxana Aldea, O. Eva","doi":"10.1109/ISSCS.2013.6651213","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651213","url":null,"abstract":"This paper proposes a method for highlighting the characteristics of sensorimotor rhythms (mu and beta). The electroencephalographic (EEG) data were recorded with 8 g.tec active electrodes by means of g.MOBIlab+ module. The EEG signals were filtered with a fifth order Butterworth band-pass filter between 0 and 30Hz and then the independent component analysis (ICA) was applied. The coefficient of determination (r2) has been computed for both situations, comparing the EEG spectra associated with each motor-imagery task with the spectra recorded in resting conditions. ICA and the coefficient of determination help us to demonstrate that the recorded data can be used to implement a brain computer interface (BCI) based on motor imagery tasks. Imagining left hand movement produces a desynchronization on CP4 and C4 electrodes in the right side of the scalp, while imagining right hand movement produces a desynchronization on CP3, C3 and P3 electrodes, on the left side of the brain.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134474989","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 : 2013-07-11DOI: 10.1109/ISSCS.2013.6651201
A. Sirbu, D. Dobrea
This paper presents the development of an autonomous differential wheeled robot able to avoid short-distance obstacles using signals from a set of infrared sensors. For the proposed implementation, the situations of imminent collision are solved on line using an adequately designed genetic algorithm (GA). In this way a knowledge database comprising the main set of rules that directly map the sensor information into the engine commands can be developed on the fly. Our experiments proved that a satisfactory behavior can be obtained even in cases when no initial knowledge database, usually obtained previously off-line through simulations, is provided. The implementation uses a MFC5213 Freescale microcontroller. The GA is developed in C language, using the CodeWarrior 7.2.2 IDE and was extensively tested to prove the viability of the proposed solution.
{"title":"Real-time genetic obstacle avoidance controller for a differential wheeled exploratory robot","authors":"A. Sirbu, D. Dobrea","doi":"10.1109/ISSCS.2013.6651201","DOIUrl":"https://doi.org/10.1109/ISSCS.2013.6651201","url":null,"abstract":"This paper presents the development of an autonomous differential wheeled robot able to avoid short-distance obstacles using signals from a set of infrared sensors. For the proposed implementation, the situations of imminent collision are solved on line using an adequately designed genetic algorithm (GA). In this way a knowledge database comprising the main set of rules that directly map the sensor information into the engine commands can be developed on the fly. Our experiments proved that a satisfactory behavior can be obtained even in cases when no initial knowledge database, usually obtained previously off-line through simulations, is provided. The implementation uses a MFC5213 Freescale microcontroller. The GA is developed in C language, using the CodeWarrior 7.2.2 IDE and was extensively tested to prove the viability of the proposed solution.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132562287","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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