Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775597
H. Satoh, Takayuki Ohkura, F. Takeda
Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we have developed the awakening behavior detection system using Neural Network. In this paper, it is a problem that the detection success rate of the current system using captured image in the clinical site is not enough. So, we analyze the captured image in the clinical site. From the result of the histogram analysis, it proves that the fluctuation of brightness quantity makes decrease the detection capability. Therefore, to decrease the influence of the brightness quantity, the histogram of the captured image should be equalized. Finally, we show that the histogram equalization reduces fluctuation of brightness quantity numerically.
{"title":"Proposal for the awakening behavior detection system using images and adaptation for fluctuation of brightness quantity in the captured image","authors":"H. Satoh, Takayuki Ohkura, F. Takeda","doi":"10.1109/ICMSAO.2011.5775597","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775597","url":null,"abstract":"Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we have developed the awakening behavior detection system using Neural Network. In this paper, it is a problem that the detection success rate of the current system using captured image in the clinical site is not enough. So, we analyze the captured image in the clinical site. From the result of the histogram analysis, it proves that the fluctuation of brightness quantity makes decrease the detection capability. Therefore, to decrease the influence of the brightness quantity, the histogram of the captured image should be equalized. Finally, we show that the histogram equalization reduces fluctuation of brightness quantity numerically.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"78 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79249941","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775465
J. Sampe, Khairul Parman Zakaria, F. H. Hashim, M. Othman
This paper presents a proposed Reliable and Cost Effective Anti-collision technique (RCEAT) for Radio Frequency Identification (RFID) Class 0 UHF tag. The RCEAT architecture consists of two main subsystems; PreRCEAT and PostRCEAT. The PreRCEAT subsystem is to detect any error in the incoming messages. Then the identification bit (ID) of the no error packet will be fed to the next subsystem. The PostRCEAT subsystem is to identify the tag by using the proposed Fast-search Lookup Table. The proposed system is designed using Verilog HDL. The system is simulated using Modelsim and synthesized using Xilinix Synthesis Technology. The system has been successfully implemented in hardware using Field Programmable Grid Array (FPGA) Virtex II. The output waveforms from the FPGA have been tested on the Tektronix Logic Analyzer for real time verification. Finally the RCEAT architecture is resynthesized using Application Specific Integrated Circuit (ASIC) technology for on-chip implementation. This technology consists of 0.18 μm Library, Synopsys Compiler and tools. From the hardware verification results, it shows that the proposed RCEAT system enables to identify the tags without error at the maximum operating frequency of 180MHz. The system consumes 7.578 mW powers, occupies 6,041 gates and 0.0375 mm2 area with Data arrival time of 2.31 ns.
{"title":"Reliable and cost effective anti-collision technique for RFID UHF tag","authors":"J. Sampe, Khairul Parman Zakaria, F. H. Hashim, M. Othman","doi":"10.1109/ICMSAO.2011.5775465","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775465","url":null,"abstract":"This paper presents a proposed Reliable and Cost Effective Anti-collision technique (RCEAT) for Radio Frequency Identification (RFID) Class 0 UHF tag. The RCEAT architecture consists of two main subsystems; PreRCEAT and PostRCEAT. The PreRCEAT subsystem is to detect any error in the incoming messages. Then the identification bit (ID) of the no error packet will be fed to the next subsystem. The PostRCEAT subsystem is to identify the tag by using the proposed Fast-search Lookup Table. The proposed system is designed using Verilog HDL. The system is simulated using Modelsim and synthesized using Xilinix Synthesis Technology. The system has been successfully implemented in hardware using Field Programmable Grid Array (FPGA) Virtex II. The output waveforms from the FPGA have been tested on the Tektronix Logic Analyzer for real time verification. Finally the RCEAT architecture is resynthesized using Application Specific Integrated Circuit (ASIC) technology for on-chip implementation. This technology consists of 0.18 μm Library, Synopsys Compiler and tools. From the hardware verification results, it shows that the proposed RCEAT system enables to identify the tags without error at the maximum operating frequency of 180MHz. The system consumes 7.578 mW powers, occupies 6,041 gates and 0.0375 mm2 area with Data arrival time of 2.31 ns.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"21 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75366535","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775468
R. Alinia, E. N. Lay
The molar volume of binary systems at high pressures is an important key for production of micro and nanoparticles production. This paper compares two different equations of states of Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) for correlating and optimizing of operating conditions for 20 different binary systems to produce micro and nanoparticles. The effects of the temperature and pressure of binary systems on the molar volume of organic solvents have also been investigated. It is observed that by increasing the pressure of the system at a constant temperature, the molar volume of the liquid phase decreases, while at higher pressures a sudden volume expansion can lead to minimum molar volume of liquid phase and these conditions can be reported as a proper condition in producing micro and nanoparticles.
{"title":"Modeling and optimization of molar volume for the binary systems containing nearcritical and supercritical CO2 applicable to micro and nanoparticles production","authors":"R. Alinia, E. N. Lay","doi":"10.1109/ICMSAO.2011.5775468","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775468","url":null,"abstract":"The molar volume of binary systems at high pressures is an important key for production of micro and nanoparticles production. This paper compares two different equations of states of Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) for correlating and optimizing of operating conditions for 20 different binary systems to produce micro and nanoparticles. The effects of the temperature and pressure of binary systems on the molar volume of organic solvents have also been investigated. It is observed that by increasing the pressure of the system at a constant temperature, the molar volume of the liquid phase decreases, while at higher pressures a sudden volume expansion can lead to minimum molar volume of liquid phase and these conditions can be reported as a proper condition in producing micro and nanoparticles.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"201 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75747180","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775592
R. Ahmad, M. H. Hashim
Using piezoelectric elements to harvest energy from ambient vibration and human motion has been of great interest recently. This study quantifies the amount of energy generated by piezoelectric device from vibration environment and human motion. Nickel metal hydride rechargeable battery has been used to store the energy generated. Throughout the experiment, the discharged 40mAh rechargeable battery can be charged to its cell voltage in less than 10 minutes in resonant vibration. Meanwhile, for human motion energy harvesting experiment, as subject running with 5km/h speed, the discharged 40mAh rechargeable battery can be charged to its cell voltage in one hour.
{"title":"Development of energy harvesting device using piezoelectric material","authors":"R. Ahmad, M. H. Hashim","doi":"10.1109/ICMSAO.2011.5775592","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775592","url":null,"abstract":"Using piezoelectric elements to harvest energy from ambient vibration and human motion has been of great interest recently. This study quantifies the amount of energy generated by piezoelectric device from vibration environment and human motion. Nickel metal hydride rechargeable battery has been used to store the energy generated. Throughout the experiment, the discharged 40mAh rechargeable battery can be charged to its cell voltage in less than 10 minutes in resonant vibration. Meanwhile, for human motion energy harvesting experiment, as subject running with 5km/h speed, the discharged 40mAh rechargeable battery can be charged to its cell voltage in one hour.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"5 4","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72582586","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775490
M. Ismail
The study of commodity price behaviour has attracts the attention of many economists and finance specialists. This is due to the fact that many less developed countries rely on the revenues generated by the commodity exports. In this paper, the nonlinear relationship because of regime shifts in four vegetable oil price series was investigated. The multivariate Markov switching vector autoregressive (MS-VAR) model with regime shifts in both the mean and the variance was employed to capture common regime shifts behaviour among the four price series. Results revealed that all the series demonstrate common regime shifts trend of declining and increasing. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).
{"title":"Modelling nonlinear relationship among vegetable oil price time series","authors":"M. Ismail","doi":"10.1109/ICMSAO.2011.5775490","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775490","url":null,"abstract":"The study of commodity price behaviour has attracts the attention of many economists and finance specialists. This is due to the fact that many less developed countries rely on the revenues generated by the commodity exports. In this paper, the nonlinear relationship because of regime shifts in four vegetable oil price series was investigated. The multivariate Markov switching vector autoregressive (MS-VAR) model with regime shifts in both the mean and the variance was employed to capture common regime shifts behaviour among the four price series. Results revealed that all the series demonstrate common regime shifts trend of declining and increasing. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"19 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75131293","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775537
L. W. Tan, F. Taip, M. N. Ibrahim, R. Kamil
Spray drying is a removal of moisture from liquid feed by breaking into droplets in a hot medium to convert into powder form. In order to ensure the product quality is at the desired specification, a good control system and good understanding on the dynamic behavior should be considered. The aims of this study are to develop empirical model of spray drying process and improve the process by implementation of PI controller. A nozzle atomizer spray dryer, Lab-Plant SD 05 Laboratory Scale Spray Dryer was used. The liquid feed was Sunquick Concentrated Orange Juice and DE 10–15 maltodextrin as the drying agent. The effects of inlet air temperature and maltodextrin concentration on final moisture content and outlet air temperature were investigated. From investigation, the effect of inlet air temperature on moisture content and outlet air temperature was greater than maltodextrin concentration. Thus, inlet air temperature was selected as manipulated variable. For modeling, the model obtained can be represented as first order process with time delay (FOPTD). In order to improve the process, the model obtained was used in simulation studies to determine the suitable tuning method by PI controller. The PI controllers were tuned by direct synthesis, min IAE method and Cohen-coon. From the observation, direct synthesis method is the most suitable tuning method for PI controller in spray drying process.
{"title":"Empirical modeling and control for spray drying of orange juice powder","authors":"L. W. Tan, F. Taip, M. N. Ibrahim, R. Kamil","doi":"10.1109/ICMSAO.2011.5775537","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775537","url":null,"abstract":"Spray drying is a removal of moisture from liquid feed by breaking into droplets in a hot medium to convert into powder form. In order to ensure the product quality is at the desired specification, a good control system and good understanding on the dynamic behavior should be considered. The aims of this study are to develop empirical model of spray drying process and improve the process by implementation of PI controller. A nozzle atomizer spray dryer, Lab-Plant SD 05 Laboratory Scale Spray Dryer was used. The liquid feed was Sunquick Concentrated Orange Juice and DE 10–15 maltodextrin as the drying agent. The effects of inlet air temperature and maltodextrin concentration on final moisture content and outlet air temperature were investigated. From investigation, the effect of inlet air temperature on moisture content and outlet air temperature was greater than maltodextrin concentration. Thus, inlet air temperature was selected as manipulated variable. For modeling, the model obtained can be represented as first order process with time delay (FOPTD). In order to improve the process, the model obtained was used in simulation studies to determine the suitable tuning method by PI controller. The PI controllers were tuned by direct synthesis, min IAE method and Cohen-coon. From the observation, direct synthesis method is the most suitable tuning method for PI controller in spray drying process.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"37 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75498294","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775576
M. Y. Waziri, W. Leong, M. A. Hassan, M. Monsi
We propose some improvements on a diagonal Newton's method for solving large-scale systems of nonlinear equations. In this approach, we use data from two preceding steps to improve the current approximate Jacobian in diagonal form. Via this approach, we can achieve a higher order of accuracy for Jacobian approximation when compares to other existing diagonal-type Newton's method. The results of our numerical tests, demonstrate a clear enhancement in numerical performance of our proposed method
{"title":"Two-step diagonal Newton method for large-scale systems of nonlinear equations","authors":"M. Y. Waziri, W. Leong, M. A. Hassan, M. Monsi","doi":"10.1109/ICMSAO.2011.5775576","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775576","url":null,"abstract":"We propose some improvements on a diagonal Newton's method for solving large-scale systems of nonlinear equations. In this approach, we use data from two preceding steps to improve the current approximate Jacobian in diagonal form. Via this approach, we can achieve a higher order of accuracy for Jacobian approximation when compares to other existing diagonal-type Newton's method. The results of our numerical tests, demonstrate a clear enhancement in numerical performance of our proposed method","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"100 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75645858","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775493
S. Sahlan, M. S. Maidin, N. Wahab
In this paper, we present new results on frequency weighted balanced truncation technique based on vec and Kronecker Product. This technique is applied to single-sided case and an extension to double-sided case is also presented. Numerical example with comparisons to other techniques is also presented.
{"title":"Least square application on frequency weighted model reduction technique","authors":"S. Sahlan, M. S. Maidin, N. Wahab","doi":"10.1109/ICMSAO.2011.5775493","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775493","url":null,"abstract":"In this paper, we present new results on frequency weighted balanced truncation technique based on vec and Kronecker Product. This technique is applied to single-sided case and an extension to double-sided case is also presented. Numerical example with comparisons to other techniques is also presented.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"38 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73922508","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775624
M. Z. Zakaria, H. Jamaluddin, R. Ahmad, A. Muhaimin
The growing interest in multiobjective optimization algorithms and system identification resulted in a huge research area. System identification is about developing a mathematical model for representing the system observed. This paper describes the effects of genetic algorithm parameters used in multiobjective optimization algorithm (MOO) that is applied to system identification problem. Two simulated linear systems with known model structure were considered for representing the system identification problem. The performance metrics used in this study are convergence and diversity metric. These metrics show the performance of MOO when GA parameters are varied. The simulation results show the effects of GA parameter on MOO performance. A right combination of GA parameters used in MOO is shown in this study.
{"title":"Effects of genetic algorithm parameters on multiobjective optimization algorithm applied to system identification problem","authors":"M. Z. Zakaria, H. Jamaluddin, R. Ahmad, A. Muhaimin","doi":"10.1109/ICMSAO.2011.5775624","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775624","url":null,"abstract":"The growing interest in multiobjective optimization algorithms and system identification resulted in a huge research area. System identification is about developing a mathematical model for representing the system observed. This paper describes the effects of genetic algorithm parameters used in multiobjective optimization algorithm (MOO) that is applied to system identification problem. Two simulated linear systems with known model structure were considered for representing the system identification problem. The performance metrics used in this study are convergence and diversity metric. These metrics show the performance of MOO when GA parameters are varied. The simulation results show the effects of GA parameter on MOO performance. A right combination of GA parameters used in MOO is shown in this study.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"15 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73277939","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 : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775623
Fatimah Sham, Ismail, K. Lumpur., Malaysia
Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regulator (MVR) system on printed circuit board by considering multi-constraint parameters. The simulation results, which are developed based on experimental measurement, show that the SOGA can propose better optimal solution compared to the initial design.
{"title":"Multi-objective optimization problems: Method and application","authors":"Fatimah Sham, Ismail, K. Lumpur., Malaysia","doi":"10.1109/ICMSAO.2011.5775623","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775623","url":null,"abstract":"Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regulator (MVR) system on printed circuit board by considering multi-constraint parameters. The simulation results, which are developed based on experimental measurement, show that the SOGA can propose better optimal solution compared to the initial design.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"106 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76236692","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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