Pub Date : 2012-12-01DOI: 10.1109/SCORED.2012.6518618
M. Zolkapli, M. Mohammed, A. Manut, R. Yahya
This paper reports on the development of the electrical test setup for microfluidic field effect transistor (FET). Testing of the device commences during the fabrication process where various resistivity, grown layer thickness and other parameters are measured. However, these limited measurements do not give insights towards the final device performance. The final test is purely electrical and therefore a high current circuit to manually test the transistor characteristic of the microfluidic FET has been designed. The IV characteristic of the known metal oxide semiconductor field effect transistor (MOSFET) that is available in the market is the basis of the circuit design which is then used to characterize the microfluidic FET. Experimental results reveal the electrical responses from the test setup are consistent with the MOSFET behavior and an alternative method for the microfluidic FET characterization.
{"title":"Development of electrical test setup for microfluidic field effect transistor","authors":"M. Zolkapli, M. Mohammed, A. Manut, R. Yahya","doi":"10.1109/SCORED.2012.6518618","DOIUrl":"https://doi.org/10.1109/SCORED.2012.6518618","url":null,"abstract":"This paper reports on the development of the electrical test setup for microfluidic field effect transistor (FET). Testing of the device commences during the fabrication process where various resistivity, grown layer thickness and other parameters are measured. However, these limited measurements do not give insights towards the final device performance. The final test is purely electrical and therefore a high current circuit to manually test the transistor characteristic of the microfluidic FET has been designed. The IV characteristic of the known metal oxide semiconductor field effect transistor (MOSFET) that is available in the market is the basis of the circuit design which is then used to characterize the microfluidic FET. Experimental results reveal the electrical responses from the test setup are consistent with the MOSFET behavior and an alternative method for the microfluidic FET characterization.","PeriodicalId":299947,"journal":{"name":"2012 IEEE Student Conference on Research and Development (SCOReD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123740943","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 : 2012-12-01DOI: 10.1109/SCORED.2012.6518632
Mazratul Firdaus Mohd Zin, A. Idris, M. N. Seroji, N. Hamzah
An AC-AC single phase matrix converter with its unique characteristics is presented to reduce the harmonic of the input current and has the ability to step up the output voltage of the system which is the main analysis in this paper. AC-AC converter topology switching strategy is used in the SPMC which is controlled by the closed-loop current control or also known as active current wave-shaping technique. In order the AC-AC SPMC to operate and synthesize as a harmonic filter and voltage booster, the input supply current is being compensated by closed-loop current control to produce the SPWM signal to be injected to the switches used which are the IGBTs. The works has been done using Matlab/Simulink simulation and the results are being compared to the same simulation done in open-loop method without using the active current wave-shaping technique.
{"title":"AC-AC single phase matrix converter with harmonic filter and boost characteristics: A study","authors":"Mazratul Firdaus Mohd Zin, A. Idris, M. N. Seroji, N. Hamzah","doi":"10.1109/SCORED.2012.6518632","DOIUrl":"https://doi.org/10.1109/SCORED.2012.6518632","url":null,"abstract":"An AC-AC single phase matrix converter with its unique characteristics is presented to reduce the harmonic of the input current and has the ability to step up the output voltage of the system which is the main analysis in this paper. AC-AC converter topology switching strategy is used in the SPMC which is controlled by the closed-loop current control or also known as active current wave-shaping technique. In order the AC-AC SPMC to operate and synthesize as a harmonic filter and voltage booster, the input supply current is being compensated by closed-loop current control to produce the SPWM signal to be injected to the switches used which are the IGBTs. The works has been done using Matlab/Simulink simulation and the results are being compared to the same simulation done in open-loop method without using the active current wave-shaping technique.","PeriodicalId":299947,"journal":{"name":"2012 IEEE Student Conference on Research and Development (SCOReD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129226625","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 : 2012-12-01DOI: 10.1109/SCORED.2012.6518653
N. Baba, R. Ibrahim, N. Tamyis, S. Subahir
This paper presents a free space microwave measurement methods which are non-destructive and noncontact to determine the corrosion under a thin paint on aluminium panel. For free space microwave measurements techniques, the measured parameters are reflection coefficients S11, transmission coefficients S21, dielectric constants, loss factors, and complex permittivity as a function of frequencies. This paper is focusing on metal backed method in order to detect corrosion under thin paint on Aluminium panel. The metal backed method will measure the free space reflection coefficients, S11 only. In order to obtain smaller errors of dielectric constant, it is required that the sample thickness to be close to odd multiples of quarter wavelength. The results of the complex permittivity of the samples were calculated from measured reflection coefficient S11 at frequency range of 8 GHz-12 GHz.
{"title":"Free space microwave measurement for detecting corrosion under a thin paint of aluminium panel","authors":"N. Baba, R. Ibrahim, N. Tamyis, S. Subahir","doi":"10.1109/SCORED.2012.6518653","DOIUrl":"https://doi.org/10.1109/SCORED.2012.6518653","url":null,"abstract":"This paper presents a free space microwave measurement methods which are non-destructive and noncontact to determine the corrosion under a thin paint on aluminium panel. For free space microwave measurements techniques, the measured parameters are reflection coefficients S11, transmission coefficients S21, dielectric constants, loss factors, and complex permittivity as a function of frequencies. This paper is focusing on metal backed method in order to detect corrosion under thin paint on Aluminium panel. The metal backed method will measure the free space reflection coefficients, S11 only. In order to obtain smaller errors of dielectric constant, it is required that the sample thickness to be close to odd multiples of quarter wavelength. The results of the complex permittivity of the samples were calculated from measured reflection coefficient S11 at frequency range of 8 GHz-12 GHz.","PeriodicalId":299947,"journal":{"name":"2012 IEEE Student Conference on Research and Development (SCOReD)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126136330","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 : 2012-06-18DOI: 10.1109/SCORED.2012.6518609
Nurul Hikmah Kamaruddin, Murugappan Murugappan, Mohammad Iqbal Omar
Recent survey has pointed out that, by 2030, almost 23.6 million people will die from Cardiovascular Diseases (CVD), mainly from heart disease and stroke. These are projected to remain the single leading causes of death. One of CVD risk factors is atherosclerosis which can be predicted by myocardial ischemia detection; where this condition is caused by the lack of oxygen and nutrients to the contractile cells [3]. Ischemia changes of the ECG frequently affect the entire wave shape of ST-T complex, thus are inadequately described by isolated feature such as ST slope, ST-J amplitude and positive and negative amplitude of the T wave. In order to identify the abnormal CVDs due to the traditional risk factor such as tobacco smoking, there are several types of classifier have been used in the previous research works such as Artificial Neural Network (ANN)[21], Fuzzy Logic system[22], Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM). Most of the researchers used SVM and Fuzzy Logic system in their studies [11][23].
{"title":"Early prediction of Cardiovascular Diseases using ECG signal: Review","authors":"Nurul Hikmah Kamaruddin, Murugappan Murugappan, Mohammad Iqbal Omar","doi":"10.1109/SCORED.2012.6518609","DOIUrl":"https://doi.org/10.1109/SCORED.2012.6518609","url":null,"abstract":"Recent survey has pointed out that, by 2030, almost 23.6 million people will die from Cardiovascular Diseases (CVD), mainly from heart disease and stroke. These are projected to remain the single leading causes of death. One of CVD risk factors is atherosclerosis which can be predicted by myocardial ischemia detection; where this condition is caused by the lack of oxygen and nutrients to the contractile cells [3]. Ischemia changes of the ECG frequently affect the entire wave shape of ST-T complex, thus are inadequately described by isolated feature such as ST slope, ST-J amplitude and positive and negative amplitude of the T wave. In order to identify the abnormal CVDs due to the traditional risk factor such as tobacco smoking, there are several types of classifier have been used in the previous research works such as Artificial Neural Network (ANN)[21], Fuzzy Logic system[22], Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM). Most of the researchers used SVM and Fuzzy Logic system in their studies [11][23].","PeriodicalId":299947,"journal":{"name":"2012 IEEE Student Conference on Research and Development (SCOReD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115409351","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 : 1900-01-01DOI: 10.1109/SCORED.2012.6518628
M. S. Alam, K. M. Yeh, M. Islam, N. Misran, A. M. Hasbi
This study proposed a compact microstrip antenna for 5.4 GHz WLAN/HIPERLAN applications, which achieved a bandwidth of 230 MHz and peak gain of 3.6 dB at 5.4 GHz. The antenna is incorporated with a new electromagnetic bandgap structure that is comprised of a 3×3 array of N-like shape unit. The EBG antenna gives wider bandwidth of 320 MHz, better return loss and improved gain up to 5.46 dB. Enhancement of antenna performances proves the effectiveness of the proposed EBG structure. The design is simulated and analyzed with finite element method based solver HFSS.
{"title":"An EBG microstrip antenna for 5.4 GHz WLAN/HIPERLAN applications","authors":"M. S. Alam, K. M. Yeh, M. Islam, N. Misran, A. M. Hasbi","doi":"10.1109/SCORED.2012.6518628","DOIUrl":"https://doi.org/10.1109/SCORED.2012.6518628","url":null,"abstract":"This study proposed a compact microstrip antenna for 5.4 GHz WLAN/HIPERLAN applications, which achieved a bandwidth of 230 MHz and peak gain of 3.6 dB at 5.4 GHz. The antenna is incorporated with a new electromagnetic bandgap structure that is comprised of a 3×3 array of N-like shape unit. The EBG antenna gives wider bandwidth of 320 MHz, better return loss and improved gain up to 5.46 dB. Enhancement of antenna performances proves the effectiveness of the proposed EBG structure. The design is simulated and analyzed with finite element method based solver HFSS.","PeriodicalId":299947,"journal":{"name":"2012 IEEE Student Conference on Research and Development (SCOReD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131740924","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 : 1900-01-01DOI: 10.1109/SCORED.2012.6518621
R. Rahmani, M. Mahmodian, S. Mekhilef, A. Shojaei
In this paper, we presented an optimized fuzzy logic controller using particle swarm optimization for DC motor speed control. The controller model is simulated using MATLAB software and also experimentally tested on a laboratory DC motor. A comparison of the performance of different controllers such as PID controller, fuzzy logic controller and optimized fuzzy logic controller is presented as well. With reference to the results of digital simulations and experiment, the designed FLC-PSO speed controller obtains much better dynamic behavior compared to PID and the normal FLC designed. Moreover, it can acquire superior performance of the DC motor, and also perfect speed tracking with no overshoot. The optimized membership functions (MFs) are obviously proved to be able to provide a better performance and higher robustness in comparison with a regular fuzzy model, when the MFs were heuristically defined. Besides, experimental results verify the ability of proposed FLC under sudden change of the load torque which leads to speed variances.
{"title":"Fuzzy logic controller optimized by particle swarm optimization for DC motor speed control","authors":"R. Rahmani, M. Mahmodian, S. Mekhilef, A. Shojaei","doi":"10.1109/SCORED.2012.6518621","DOIUrl":"https://doi.org/10.1109/SCORED.2012.6518621","url":null,"abstract":"In this paper, we presented an optimized fuzzy logic controller using particle swarm optimization for DC motor speed control. The controller model is simulated using MATLAB software and also experimentally tested on a laboratory DC motor. A comparison of the performance of different controllers such as PID controller, fuzzy logic controller and optimized fuzzy logic controller is presented as well. With reference to the results of digital simulations and experiment, the designed FLC-PSO speed controller obtains much better dynamic behavior compared to PID and the normal FLC designed. Moreover, it can acquire superior performance of the DC motor, and also perfect speed tracking with no overshoot. The optimized membership functions (MFs) are obviously proved to be able to provide a better performance and higher robustness in comparison with a regular fuzzy model, when the MFs were heuristically defined. Besides, experimental results verify the ability of proposed FLC under sudden change of the load torque which leads to speed variances.","PeriodicalId":299947,"journal":{"name":"2012 IEEE Student Conference on Research and Development (SCOReD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124374127","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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