Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775525
Seyed Mohammad Attaran, S. Abdullah
In this paper we provide a short review of radial basis function (RBF) and its properties. In addition RBF NN was used to estimate the non-Isothermal CSTR. For achieving this goal because of on lining data it was necessary to use the RLS each time that new data come to system. By using this method (RLS), RBF NN updates its weights for mapping the input and output of the system.
{"title":"Modeling of non isothermal CSTR with the method of RBF NN","authors":"Seyed Mohammad Attaran, S. Abdullah","doi":"10.1109/ICMSAO.2011.5775525","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775525","url":null,"abstract":"In this paper we provide a short review of radial basis function (RBF) and its properties. In addition RBF NN was used to estimate the non-Isothermal CSTR. For achieving this goal because of on lining data it was necessary to use the RLS each time that new data come to system. By using this method (RLS), RBF NN updates its weights for mapping the input and output of the system.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"221 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":"91213276","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.2011.5775544
R. Alinia, E. N. Lay
The solubility of CO2 in various solvents in the binary systems at high pressures is an important key for production of micro and nanoparticles production. This paper compares three different equations of state of Peng-Robinson (PR), Soave-Redlich-Kwong (SRK) and Statistical Associating Fluid Theory (SAFT) for correlating of CO2 solubility in the 20 different binary systems at high pressures applicable to micro and nanoparticles production. The effects of the temperature and pressure of binary systems on the solubility of CO2 in organic solvents have also been investigated. It is observed that the solubility of CO2 in solvents increases with the increase in the pressure at the same temperature. At higher pressures the liquid phase is mostly CO2 and these conditions are interested in supercritical fluid processes.
{"title":"CO2 solubility modeling in the binary systems at high pressures","authors":"R. Alinia, E. N. Lay","doi":"10.1109/ICMSAO.2011.5775544","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775544","url":null,"abstract":"The solubility of CO2 in various solvents in the binary systems at high pressures is an important key for production of micro and nanoparticles production. This paper compares three different equations of state of Peng-Robinson (PR), Soave-Redlich-Kwong (SRK) and Statistical Associating Fluid Theory (SAFT) for correlating of CO2 solubility in the 20 different binary systems at high pressures applicable to micro and nanoparticles production. The effects of the temperature and pressure of binary systems on the solubility of CO2 in organic solvents have also been investigated. It is observed that the solubility of CO2 in solvents increases with the increase in the pressure at the same temperature. At higher pressures the liquid phase is mostly CO2 and these conditions are interested in supercritical fluid processes.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"30 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":"83759257","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.2011.5775605
M. Othman, N. Abdullah, Nurul Fazrena Kamal
The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. Other than that, medical image retrieval system is to provide a tool for radiologists to retrieve the images similar to query image in content. Magnetic resonance imaging (MRI) is an imaging technique that has played an important role in neuroscience research for studying brain images. Classification is an important part in retrieval system in order to distinguish between normal patients and those who have the possibility of having abnormalities or tumor. In this paper, we have obtained the feature related to MRI images using discrete wavelet transformation. An advanced kernel based techniques such as Support Vector Machine (SVM) for the classification of volume of MRI data as normal and abnormal will be deployed.
{"title":"MRI brain classification using support vector machine","authors":"M. Othman, N. Abdullah, Nurul Fazrena Kamal","doi":"10.1109/ICMSAO.2011.5775605","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775605","url":null,"abstract":"The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. Other than that, medical image retrieval system is to provide a tool for radiologists to retrieve the images similar to query image in content. Magnetic resonance imaging (MRI) is an imaging technique that has played an important role in neuroscience research for studying brain images. Classification is an important part in retrieval system in order to distinguish between normal patients and those who have the possibility of having abnormalities or tumor. In this paper, we have obtained the feature related to MRI images using discrete wavelet transformation. An advanced kernel based techniques such as Support Vector Machine (SVM) for the classification of volume of MRI data as normal and abnormal will be deployed.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"60 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":"83922949","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.2011.5775571
A. ElSinawi, Shadi Emam
This work presents a practical approach to the control of tool's position, in orthogonal cutting, in the presence nonlinear dynamic cutting forces and machine tool dynamics. The controller is Linear Quadratic Gaussian (LQG) type constructed from an augmented model of machine tool realization, tool-actuator dynamics, and a nonlinear dynamic model relating tool displacement to cutting forces. The latter model is obtained using black-box system identification of experimental orthogonal cutting data in which tool displacement is the input and cutting force is the output. The controller is evaluated and its performance is demonstrated.
{"title":"Active control of tool position in the presence of nonlinear cutting force and machine tool dynamics in orthogonal cutting","authors":"A. ElSinawi, Shadi Emam","doi":"10.1109/ICMSAO.2011.5775571","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775571","url":null,"abstract":"This work presents a practical approach to the control of tool's position, in orthogonal cutting, in the presence nonlinear dynamic cutting forces and machine tool dynamics. The controller is Linear Quadratic Gaussian (LQG) type constructed from an augmented model of machine tool realization, tool-actuator dynamics, and a nonlinear dynamic model relating tool displacement to cutting forces. The latter model is obtained using black-box system identification of experimental orthogonal cutting data in which tool displacement is the input and cutting force is the output. The controller is evaluated and its performance is demonstrated.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"17 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":"85390793","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.2011.5943734
M. Eslami, H. Shareef, A. Mohamed
Power system stabilizers (PSSs) are the most well known and efficient devices to damp the power system oscillations caused by interruptions. Low frequency oscillation problems are very difficult to solve because power systems are very large, complex and geographically distributed. Therefore, it is necessary to utilize most efficient optimization methods to take full advantages in simplifying the problem and its implementation. From this perspective, many successful and powerful optimization methods and algorithms have been employed in formulating and solving this problem. These optimization methodologies and techniques are widely diverse and have been the subject of ongoing enhancements over the years. This paper presents a survey of literature on the various optimization methods applied to solve the PSS problems. A review of most of the publications on the topic is presented.
{"title":"Power system stabilizer design based on optimization techniques","authors":"M. Eslami, H. Shareef, A. Mohamed","doi":"10.1109/ICMSAO.2011.5943734","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5943734","url":null,"abstract":"Power system stabilizers (PSSs) are the most well known and efficient devices to damp the power system oscillations caused by interruptions. Low frequency oscillation problems are very difficult to solve because power systems are very large, complex and geographically distributed. Therefore, it is necessary to utilize most efficient optimization methods to take full advantages in simplifying the problem and its implementation. From this perspective, many successful and powerful optimization methods and algorithms have been employed in formulating and solving this problem. These optimization methodologies and techniques are widely diverse and have been the subject of ongoing enhancements over the years. This paper presents a survey of literature on the various optimization methods applied to solve the PSS problems. A review of most of the publications on the topic is presented.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91124070","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.2011.5775516
M. Aziz, N. Morad, Noel Wambeck, M. Shah
Solids oil palm biomass in the form of empty fruit bunches (EFB), palm press fibre (PPF), palm kernel shell (PKS), palm trunks and fronds has been identified as one of the main source of renewable energy with great potential in Malaysia. Recent development in the industry requires proper treatment of the palm biomass so that it generates clean energy. One of the treatment of palm biomass is size reduction since this will remove excess moisture and oil. It is vital to establish the correlations between size of palm biomass on moisture and the calorific values. By modeling and simulation, optimised blends of palm biomass consisting of EFB, PPF and PKS can be mixed to give the maximum power output. The physical and calorific properties of palm biomass were established through experimental work as well as plant data collected in this study. The simulated palm biomass blends through this study was validated with plant data from previous studies. Size reduction reduced moisture content significantly in the oil palm biomass namely EFB from 52 to 40 %. With size reduction, the calorific values of blends can increase by 34% and further improve the Net Energy Availability Value. The study suggests that an optimised blend from the oil palm biomass would further improve the calorific value. Through improved processing technology, the palm oil industry will continue to strive for sustainability development addressing both social and economic aspect simultaneously.
{"title":"Optimizing palm biomass energy though size reduction","authors":"M. Aziz, N. Morad, Noel Wambeck, M. Shah","doi":"10.1109/ICMSAO.2011.5775516","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775516","url":null,"abstract":"Solids oil palm biomass in the form of empty fruit bunches (EFB), palm press fibre (PPF), palm kernel shell (PKS), palm trunks and fronds has been identified as one of the main source of renewable energy with great potential in Malaysia. Recent development in the industry requires proper treatment of the palm biomass so that it generates clean energy. One of the treatment of palm biomass is size reduction since this will remove excess moisture and oil. It is vital to establish the correlations between size of palm biomass on moisture and the calorific values. By modeling and simulation, optimised blends of palm biomass consisting of EFB, PPF and PKS can be mixed to give the maximum power output. The physical and calorific properties of palm biomass were established through experimental work as well as plant data collected in this study. The simulated palm biomass blends through this study was validated with plant data from previous studies. Size reduction reduced moisture content significantly in the oil palm biomass namely EFB from 52 to 40 %. With size reduction, the calorific values of blends can increase by 34% and further improve the Net Energy Availability Value. The study suggests that an optimised blend from the oil palm biomass would further improve the calorific value. Through improved processing technology, the palm oil industry will continue to strive for sustainability development addressing both social and economic aspect simultaneously.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"15 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":"91364164","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.2011.5775556
Thawatchai Thongleam, A. Suadet, Arnon Kanjanop, Pratchayaporn Singhanath, Buncha Hirunsing, Weerasak Chuenta, V. Kasemsuwan
This paper presents a 0.5 V pseudo fully differential CMOS op-amp with rail-to-rail input/output swing. The circuit is designed based on class AB input and output stages. In the design, quasi FGMOS transistors are employed. The proposed amplifier is designed using 0.18 μm CMOS technology, and the simulation results show rail-to-rail input and output swings. The open-loop gain and gain-bandwidth product show 73.3 dB and 12.6 MHz. The CMRR is 73.2 dB (at 1 kHz) and the power consumption is 27.9 μW.
本文提出了一种具有轨对轨输入/输出摆幅的0.5 V伪全差分CMOS运放。该电路是基于AB类输入输出级设计的。在设计中，采用了准FGMOS晶体管。该放大器采用0.18 μm CMOS工艺设计，仿真结果显示出轨间输入和输出振荡。开环增益和增益带宽积分别为73.3 dB和12.6 MHz。CMRR为73.2 dB (1khz)，功耗为27.9 μW。
{"title":"A 0.5 V class AB quasi FGMOS pseudo fully differential CMOS op-amp with rail-to-rail input/output swing","authors":"Thawatchai Thongleam, A. Suadet, Arnon Kanjanop, Pratchayaporn Singhanath, Buncha Hirunsing, Weerasak Chuenta, V. Kasemsuwan","doi":"10.1109/ICMSAO.2011.5775556","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775556","url":null,"abstract":"This paper presents a 0.5 V pseudo fully differential CMOS op-amp with rail-to-rail input/output swing. The circuit is designed based on class AB input and output stages. In the design, quasi FGMOS transistors are employed. The proposed amplifier is designed using 0.18 μm CMOS technology, and the simulation results show rail-to-rail input and output swings. The open-loop gain and gain-bandwidth product show 73.3 dB and 12.6 MHz. The CMRR is 73.2 dB (at 1 kHz) and the power consumption is 27.9 μW.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"2 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":"84802372","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.2011.5775606
N. Tahouni, N. Bagheri, J. Towfighi, M. Panjeshahi
Retrofit and optimization of low-temperature gas separation processes is a challenging task owing to complicated interactions between the core process (separation columns), refrigeration cycles, and the associated heat exchanger network. In this paper, the performance of cold section of an olefin plant is optimized. A comprehensive screening of all effective changes using genetic algorithm suggests some retrofit modifications. Having incorporated the best operating column parameters along with available refrigeration levels, a 11.3% improvement in utility cost was achieved.
{"title":"Retrofit of low-temperature gas separation section of an olefin plant","authors":"N. Tahouni, N. Bagheri, J. Towfighi, M. Panjeshahi","doi":"10.1109/ICMSAO.2011.5775606","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775606","url":null,"abstract":"Retrofit and optimization of low-temperature gas separation processes is a challenging task owing to complicated interactions between the core process (separation columns), refrigeration cycles, and the associated heat exchanger network. In this paper, the performance of cold section of an olefin plant is optimized. A comprehensive screening of all effective changes using genetic algorithm suggests some retrofit modifications. Having incorporated the best operating column parameters along with available refrigeration levels, a 11.3% improvement in utility cost was achieved.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"29 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":"82310443","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.2011.5775500
F. Ben Abdelaziz, Hatem Masri, Houda Alaya
In this paper we address the Stochastic Airport Bus Routing Problem (SABRP) where the availability of customers in the meeting points is randomly generated. We solve the problem by utilizing the stochastic programming recourse approach. The objective of our model is to minimize the cost of regular bus tours and the recourse cost when special taxis tours will be sent to specific customers.
{"title":"A solution approach for the stochastic airport bus routing problem","authors":"F. Ben Abdelaziz, Hatem Masri, Houda Alaya","doi":"10.1109/ICMSAO.2011.5775500","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775500","url":null,"abstract":"In this paper we address the Stochastic Airport Bus Routing Problem (SABRP) where the availability of customers in the meeting points is randomly generated. We solve the problem by utilizing the stochastic programming recourse approach. The objective of our model is to minimize the cost of regular bus tours and the recourse cost when special taxis tours will be sent to specific customers.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"1 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":"88242155","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.2011.5775505
O. Shariati, A. Zin, M. Aghamohammadi
Parameter identification is critical for modern control strategies in electrical power systems which is considered both dynamic performance and energy efficiency. This paper presents a novel application of ANN observers in estimating and tracking Salient-Pole Synchronous Generator Dynamic Parameters using time-domain, on-line disturbance measurements. The data for training ANN Observers are obtained through off-line simulations of a salient-pole synchronous generator operating in a one-machine-infinite-bus environment. The Levenberg-Marquardt algorithm has been adopted and assimilated into the back-propagation learning algorithm for training feed-forward neural networks. The inputs of ANNs are organized in conformity with the results of the observability analysis of synchronous generator dynamic parameters in its dynamic behavior. A collection of ANNs with same inputs but different outputs are developed to determine a set of the dynamic parameters. The ANNs are employed to estimate the dynamic parameters by the measurements which are carried out within each kind of fault separately. The trained ANNs are tested with on-line measurements to identify the dynamic parameters. Simulation studies indicate the ANN observer has a great ability to identify the dynamic parameters of salient-pole synchronous generator. The results also show that the tests which have given better results in estimation of each dynamic parameter can be obtained.
{"title":"Application of neural network observer for on-line estimation of salient-pole synchronous generators' dynamic parameters using the operating data","authors":"O. Shariati, A. Zin, M. Aghamohammadi","doi":"10.1109/ICMSAO.2011.5775505","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775505","url":null,"abstract":"Parameter identification is critical for modern control strategies in electrical power systems which is considered both dynamic performance and energy efficiency. This paper presents a novel application of ANN observers in estimating and tracking Salient-Pole Synchronous Generator Dynamic Parameters using time-domain, on-line disturbance measurements. The data for training ANN Observers are obtained through off-line simulations of a salient-pole synchronous generator operating in a one-machine-infinite-bus environment. The Levenberg-Marquardt algorithm has been adopted and assimilated into the back-propagation learning algorithm for training feed-forward neural networks. The inputs of ANNs are organized in conformity with the results of the observability analysis of synchronous generator dynamic parameters in its dynamic behavior. A collection of ANNs with same inputs but different outputs are developed to determine a set of the dynamic parameters. The ANNs are employed to estimate the dynamic parameters by the measurements which are carried out within each kind of fault separately. The trained ANNs are tested with on-line measurements to identify the dynamic parameters. Simulation studies indicate the ANN observer has a great ability to identify the dynamic parameters of salient-pole synchronous generator. The results also show that the tests which have given better results in estimation of each dynamic parameter can be obtained.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"25 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86414495","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：