{"title":"Design of a PID controller based on a reset compensator using the Clegg integrator","authors":"Yoshinori Shizuku, Y. Ishida","doi":"10.1109/CSPA.2016.7515807","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515807","url":null,"abstract":"In this study, we propose the use of proportional-integral-derivative and Clegg integrator (PID+CI) reset compensators. The CI is a nonlinear integrator based on reset action. PID+CI resets the output of the integrator based on the plant deviation. Thus, this controller is expected to reduce the overshoot of the plant output. This study is devoted to the tuning method of PID+CI reset compensators and also confirms its effectiveness for a second-order plant.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114850758","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}
{"title":"Analyzing selected visual anomaly through ST-based multi-resolution VEP decomposition","authors":"V. Vijean, M. Hariharan, M. N. Mansor","doi":"10.1109/CSPA.2016.7515805","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515805","url":null,"abstract":"Visual anomaly interferes with the normal sight, and therefore can cause discomfort. Ophthalmologist describes a vision anomaly as any kind of vision loss, be it partial or total vision loss. The cause of vision loss can be traced back to genetic conditions, improper lifestyle, medical conditions and accidental causes. Visually evoked potentials (VEP) are often used in cases where the medical experts might have difficulties in determining the cause of the problem. VEP has often been reported in the literature as a reliable method for detecting visual abnormalities. By analyzing the recorded brain responses toward a visual stimulus, it is possible for the ophthalmologist to make an appropriate estimation. Since the analysis of VEP by the medical experts is still subjective, there is a need for a more comprehensive analysis method. Researchers are now trying to explore the spectral information of the VEP for easier diagnosis. In this regard, this work explores the use of Stockwell transform (ST) for the analysis of VEP signals. Via ST-based multi-resolution decomposition of the signals, the time-frequency information matrix (ST-matrix) is obtained. Statistical features extracted from ST-matrix were classified using least square support vector machine (LSSVM) and probabilistic neural network (PNN). The investigation results suggest that the LSSVM classifier was able to provide 96.07% of accurate prediction for selected visual anomaly investigated.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037303","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}
Lee Sui Ping, Chan Yee Kit, Lim Tien Sze, Koo Voon Chet
{"title":"Noise reduction methods for terrain phase estimation of InSAR images","authors":"Lee Sui Ping, Chan Yee Kit, Lim Tien Sze, Koo Voon Chet","doi":"10.1109/CSPA.2016.7515825","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515825","url":null,"abstract":"Despite decades of scientists' effort, absolute phase determination of interferometry synthetic aperture radar (InSAR) image still remains unsolved. InSAR measurement derived from phase data is not only ambiguous by its modulo-2pi mathematical-ill pose, but also further corrupted by noise. Therefore, we suggest an adaptive least mean square (LMS) algorithm based on steepest descent method for noise reduction purpose. Besides, a scheme which incorporates such filter into a Itoh two-dimensional phase-unwrapping is proposed. The phase estimation procedures are implemented to reconstruct a simulated interferogram of terrain structure. For the quantitative assessment, we employ different types of quality metrics to measure the estimated outcome of InSAR terrain image which includes root mean square error (RMSE) and signal-to-noise ratio (SNR). The estimated outcomes are also reconstructed into three dimensional plotting for visual assessment. By refering to the similar scheme, other noise reduction filters include wieners filter and median filter are implemented for performance comparison. The simulated results show that the proposed method is able to filter noise without corrupted the useful phase information and achieves lowest error energy among other filters. Thus, it is a valuable technique for InSAR terrain phase estimation.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123409462","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}
{"title":"Controller design for disturbance removal using active disturbance rejection control","authors":"T. Murao, Y. Ishida","doi":"10.1109/CSPA.2016.7515806","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515806","url":null,"abstract":"In this study, we propose an improved active disturbance rejection control (ADRC). The basic idea behind ADRC is to model a system with a disturbance that represents any difference between the model and the actual system, including external disturbances. In the proposed method, the state-feedback gain, the integral gain, and the observer gain are determined with the pole placement method using Ackermann's formula. The effectiveness of the proposed method was confirmed using the simulation results.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122144020","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}
{"title":"Performance enhancement and optimization of FWM based optical delay line at 40-Gbps bit rate","authors":"Mohamed S. Hassan, M. Atef Bassiouny","doi":"10.1109/CSPA.2016.7515821","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515821","url":null,"abstract":"In this study, an all-optical tunable time delay in optical fiber using wavelength conversion stage and dispersion stage is designed, simulated, evaluated and optimized. A noticeable optical tunable time delay is achieved at 40-Gbps bit rate system. An optimization process is carried out targeting a remarkable system performance based on bit error rate (BER) and Eye diagram analysis. This design successfully achieves 740-ps tunable optical time delay with pulse width (PW) of 2.5-ps at 40-Gbps delay system and a maximum relative delay (MRD) of 296. This system represents a step towards an integrated optical buffer to be used in communication systems.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127570563","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}
{"title":"Development of 416kHz PZT driver for acoustics energy transfer applications","authors":"Huzaimah Husin, S. Saat, Y. Yusop, S. Nguang","doi":"10.1109/CSPA.2016.7515810","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515810","url":null,"abstract":"The power transfer efficiency and power transfer capability are the most crucial performance indicator in acoustic energy transfer (AET) applications. As overall efficiency is dependent on the power conditioning at the transmitter and receiver side, it is required to develop a high efficiency power amplifier on the transmitter side in addition with a high efficiency power processor at the receiving end. This paper developed the complete PZT driver with π1a matching impedance circuit that applied to the transmitter unit of the AET system in order to transmit 80mW power on the operating frequency of 416kHz. The Proteus Software used as a simulation platform with peripheral interface controller (PIC16F877A) as pulse width modulation signal generator for MOSFET IRF510 gate in the circuit. As the promising result, the developed transmitter unit shown 73.68mW at 416kHz with 92.1% power conversion efficiency.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122660503","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}
{"title":"Application of Swingler's method for analysis of multicomponent exponentials with special attention to non-equispaced data","authors":"Rahat Hasan, Jonathan B. Scott","doi":"10.1109/CSPA.2016.7515794","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515794","url":null,"abstract":"Swingler enhanced the work of Gardner to provide an elegant deconvolution method by which multiple summed exponential components might be resolved within time-domain data. Nevertheless, the application of the method remains limited owing to subtle complications that discourage many users. We present a tutorial and extend the approach to handle non-equispaced data. Finally the method's limits are identified in the case of closely-spaced exponential components with added input noise.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124542734","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}
{"title":"Detection of hesitant dynamic postural control","authors":"N. Singh","doi":"10.1109/CSPA.2016.7515799","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515799","url":null,"abstract":"Postural balance is often studied in order to understand the effect of sensory degradation with age. The aim of this study is to identify a hesitant step-up pattern that could be linked to an increasing risk of falling in the elderly. The methods used are autoregressive moving average (ARMA) (rate of changes or fluctuation) and the area of a curve under the slope of the Z-force signal (Z-Area) during stepping up. Dynamic balance is evaluated using a force plate for 10 control subjects, 10 elderly subjects and 10 rest home subjects under control (eyes open) conditions. Each subject is tested once per weekday for three weeks. Temporal and ground reaction force parameters are measured. Lower values of ARMA variance or rate of changes, and a higher value of Z-Area are indicative of a more hesitant step up. Control subjects have significantly higher values of ARMA than the rest-home dwelling elderly, thus providing a sensitive method for identifying the subtle changes in z-force signals associated with a hesitant step-up. Similarly, elderly subjects have significantly greater Z-Area values than the control subjects. The ARMA and Z-Area parameters enable the detection of a hesitant step-up that could be related to an increasing risk of falling.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116934761","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}
{"title":"Nonparametric Bayesian models for AR and ARX identification","authors":"Hiroki Tanji, R. Tanaka, T. Murakami, Y. Ishida","doi":"10.1109/CSPA.2016.7515811","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515811","url":null,"abstract":"In this paper, we propose nonparametric Bayesian (NPB) models for autoregressive (AR) and autoregressive exogenous (ARX) identification. In the proposed AR model, we assumed that its coefficients are given by the Bernoulli process. Then, the proposed AR model was extended to the NPB model for ARX identification using two independent Bernoulli processes. The posterior distributions of the proposed models were investigated using the Gibbs sampler, and the coefficients and the order of the systems were simultaneously estimated. The effectiveness of the proposed methods was confirmed using numerical simulations.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125798125","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}
{"title":"Automatic detection, segmentation and classification of abdominal aortic aneurysm using deep learning","authors":"H. Hong, U. U. Sheikh","doi":"10.1109/CSPA.2016.7515839","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515839","url":null,"abstract":"In this paper, an automated method for the detection, segmentation and classification of Abdominal Aortic Aneurysm (AAA) region in computed tomography (CT) images is introduced. Deep Belief Network (DBN) is applied for the purpose of AAA detection and severity classification in this study. Optimum parameters for training the DBN are determined for the training data from the selected dataset. AAA region can be successfully segmented from the CT images and the result is comparable to the existing methods.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130005915","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}