Pub Date : 2011-09-15DOI: 10.1109/IFOST.2011.6021114
Yu Cao, Aihua Shen, Jiazhong Xu, Ming Qiao, Yuantao Wang
In order to measure center of gravity of payload rack, a method is put forward to solve this problem by theory of torque balance in rotating coordinate system. Forward computation is used to calculate the weight and center of gravity of payload rack. Then makes an accuracy analysis of this method by inverse computation which focuses on calculating sensor readings including maximum expected errors, and finally makes an accuracy comparison when the payload rack weight is 10000 N and 1000 N. The results show that: if the accuracy of the sensors is 0.01%, measured weight is within 0.3% of actual weight, each of measured center of gravity is within 3 mm of actual center of gravity, and higher accuracy could be achieved by further increasing the weight of the rack under the same condition.
{"title":"Calculation and accuracy analysis of center of gravity of payload rack","authors":"Yu Cao, Aihua Shen, Jiazhong Xu, Ming Qiao, Yuantao Wang","doi":"10.1109/IFOST.2011.6021114","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021114","url":null,"abstract":"In order to measure center of gravity of payload rack, a method is put forward to solve this problem by theory of torque balance in rotating coordinate system. Forward computation is used to calculate the weight and center of gravity of payload rack. Then makes an accuracy analysis of this method by inverse computation which focuses on calculating sensor readings including maximum expected errors, and finally makes an accuracy comparison when the payload rack weight is 10000 N and 1000 N. The results show that: if the accuracy of the sensors is 0.01%, measured weight is within 0.3% of actual weight, each of measured center of gravity is within 3 mm of actual center of gravity, and higher accuracy could be achieved by further increasing the weight of the rack under the same condition.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"498 1","pages":"669-673"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75544018","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021184
Rong Panxiang, Li Chao, Han Leng
Draught fan system of boiler is a nonlinear, strong interference and large delay complexity system, conventional control theory is difficult to achieve satisfactory control performance. According to the characteristics of the power plant boiler draught fan system, this paper puts the rules and reasoning mechanism of fuzzy control application in the parameters calibration of the conventional PID controller and design a fuzzy adaptive PID controller, using fuzzy reasoning method to achieve PID parameters on-line self-tuning. Simulation results show that the control scheme is superior to the conventional PID control's effect, and has good dynamic characteristics and stability.
{"title":"The research on the draught fan system of the power plant boiler based on fuzzy adaptive PID control","authors":"Rong Panxiang, Li Chao, Han Leng","doi":"10.1109/IFOST.2011.6021184","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021184","url":null,"abstract":"Draught fan system of boiler is a nonlinear, strong interference and large delay complexity system, conventional control theory is difficult to achieve satisfactory control performance. According to the characteristics of the power plant boiler draught fan system, this paper puts the rules and reasoning mechanism of fuzzy control application in the parameters calibration of the conventional PID controller and design a fuzzy adaptive PID controller, using fuzzy reasoning method to achieve PID parameters on-line self-tuning. Simulation results show that the control scheme is superior to the conventional PID control's effect, and has good dynamic characteristics and stability.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"10 1","pages":"979-982"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75549226","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021014
Yaoping Zhang, J. Yu, Maoxing Shen, D. Oster, Chen Chen
It's necessary to evacuating air from the Evacuated Tube Transportation (ETT) system before operation. As for the airlock, the air would be evacuated at every turn. Start-up speed of ETT and switching effect of the airlock will mainly depend on the time to taking out gas. This paper analyses relative factors to affect the time to taking out gas (vacuumizing) and the function relating to the time to take out gas, such as orifice conductance, diameter of the tube, length of the tube, interval space between two pumping station, effective vacuumizing speed and target vacuum degree. Based on the numerical value calculation, some suggestions to reduce the time to take out gas were put forward.
{"title":"Affecting factors and numerical value calculation relating to vacuumizing time in Evacuated Tube Transportation","authors":"Yaoping Zhang, J. Yu, Maoxing Shen, D. Oster, Chen Chen","doi":"10.1109/IFOST.2011.6021014","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021014","url":null,"abstract":"It's necessary to evacuating air from the Evacuated Tube Transportation (ETT) system before operation. As for the airlock, the air would be evacuated at every turn. Start-up speed of ETT and switching effect of the airlock will mainly depend on the time to taking out gas. This paper analyses relative factors to affect the time to taking out gas (vacuumizing) and the function relating to the time to take out gas, such as orifice conductance, diameter of the tube, length of the tube, interval space between two pumping station, effective vacuumizing speed and target vacuum degree. Based on the numerical value calculation, some suggestions to reduce the time to take out gas were put forward.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"111 1","pages":"246-249"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76323457","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021183
Xiaoyue Liu, Yiwen Liu, Zhenyou Zhang, Lin Zhang
Coal mining gas emission was constrained by many factors. Considering the eight main factors of gas emission, using ant colony clustering and fuzzy C means clustering applied to data pre-processing, determine the membership function of emission. Fuzzy rules extracted from the data sample, establish a fuzzy neural network prediction system of coal mining gas emission.
{"title":"Prediction of coal mining gas emission based on clustering algorithm and fuzzy neural network","authors":"Xiaoyue Liu, Yiwen Liu, Zhenyou Zhang, Lin Zhang","doi":"10.1109/IFOST.2011.6021183","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021183","url":null,"abstract":"Coal mining gas emission was constrained by many factors. Considering the eight main factors of gas emission, using ant colony clustering and fuzzy C means clustering applied to data pre-processing, determine the membership function of emission. Fuzzy rules extracted from the data sample, establish a fuzzy neural network prediction system of coal mining gas emission.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"304 1","pages":"975-978"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75668388","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021157
Song Li-xin, Zhao Ke-xin, Zhang Chun-li, Wang Li
To realize the medical semantic annotation of mammogram, a semantic modeling approach for calcifications in mammogram based on hierarchical Bayesian network was proposed. Firstly, support vector machines was used to map low-level image feature into feature semantics, then high-level semantic was captured through feature semantic fusion using Bayesian network, finally semantic model was established. To validate the method, the model was applied to annotate the semantic information of mammograms. In this experiment, we chose 142 images as training set and 50 images as testing set, the results showed that the precision ratio of malignant samples is 81.48%, and benign samples is 73.91%.
{"title":"A semantic annotation approach for calcifications in mammogram using Bayesian network model","authors":"Song Li-xin, Zhao Ke-xin, Zhang Chun-li, Wang Li","doi":"10.1109/IFOST.2011.6021157","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021157","url":null,"abstract":"To realize the medical semantic annotation of mammogram, a semantic modeling approach for calcifications in mammogram based on hierarchical Bayesian network was proposed. Firstly, support vector machines was used to map low-level image feature into feature semantics, then high-level semantic was captured through feature semantic fusion using Bayesian network, finally semantic model was established. To validate the method, the model was applied to annotate the semantic information of mammograms. In this experiment, we chose 142 images as training set and 50 images as testing set, the results showed that the precision ratio of malignant samples is 81.48%, and benign samples is 73.91%.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"10 1","pages":"864-866"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74732926","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021148
V. Dragunov, D. Ostertak
Electromagnetic processes occurring in different electrical circuits of capacitive microelectromechanical (MEM) mechanical-to-electrical energy converter are analyzed. The converter allows to periodically recover the energy taken from the primary source, and, thus, to operate as MEM electrical energy recuperator. Analytical expressions for evaluation of the charge recuperated to the primary energy source are derived. Dependences of the characteristics of the electrical energy recuperators on the system parameters and architecture are presented.
{"title":"A comparative study of capacitive microelectromechanical electrical energy recuperators","authors":"V. Dragunov, D. Ostertak","doi":"10.1109/IFOST.2011.6021148","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021148","url":null,"abstract":"Electromagnetic processes occurring in different electrical circuits of capacitive microelectromechanical (MEM) mechanical-to-electrical energy converter are analyzed. The converter allows to periodically recover the energy taken from the primary source, and, thus, to operate as MEM electrical energy recuperator. Analytical expressions for evaluation of the charge recuperated to the primary energy source are derived. Dependences of the characteristics of the electrical energy recuperators on the system parameters and architecture are presented.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"7 1","pages":"826-831"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74837520","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021095
Yuan Gao, Qingguo Chen, M. Chi, Xinlao Wei, Yonghong Wang
Converter transformer plays an important role in the HVDC transmission system. The insulation in converter transformer withstands both the AC and DC voltage during operation, which is different from that in normal power transformer. In order to investigate the effect of DC electric field on streaming electrification in converter transformer, an oil/paper tube model with concentric cylindrical electrode geometry was built and the flow electrification under the DC electric field was investigated in laboratory. The results demonstrated that the energization by positive DC voltage can enhance the streaming electrification especially at high temperature. With the increment of temperature, the streaming current first increases and reaches a peak value, and then decreases at higher temperature. The flow velocity has a little effect on the streaming current in the low temperature region. However, in the high temperature region the increase of flow velocity greatly enhances the electrification. Furthermore, ion migration is the main reason that causes the flow electrification under the DC electric field.
{"title":"The effect of DC field on streaming electrification in converter transformer","authors":"Yuan Gao, Qingguo Chen, M. Chi, Xinlao Wei, Yonghong Wang","doi":"10.1109/IFOST.2011.6021095","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021095","url":null,"abstract":"Converter transformer plays an important role in the HVDC transmission system. The insulation in converter transformer withstands both the AC and DC voltage during operation, which is different from that in normal power transformer. In order to investigate the effect of DC electric field on streaming electrification in converter transformer, an oil/paper tube model with concentric cylindrical electrode geometry was built and the flow electrification under the DC electric field was investigated in laboratory. The results demonstrated that the energization by positive DC voltage can enhance the streaming electrification especially at high temperature. With the increment of temperature, the streaming current first increases and reaches a peak value, and then decreases at higher temperature. The flow velocity has a little effect on the streaming current in the low temperature region. However, in the high temperature region the increase of flow velocity greatly enhances the electrification. Furthermore, ion migration is the main reason that causes the flow electrification under the DC electric field.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"57 1","pages":"604-608"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84596545","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021230
Yu Mingyan, Shi Yunbo, Z. Wenjie, Feng Qiaohua, Wang Xuan, S. Li-ning
For the problem of gas qualitatively identify in the field of gas detection, this paper is based on the multi-sensor and pattern recognition of neural network, the uniform change voltage of the sensor output is simulated by the gradient descent algorithm, the additional momentum algorithm and the LM algorithm of neural network, then compare the three simulation results of the three algorithms, the result proves that the LM algorithm is the optimal algorithm of the data simulation in this paper, in the range of allowable error, completed the gas qualitative identification.
{"title":"Comparison of neural network algorithms based on gas qualitative analysis","authors":"Yu Mingyan, Shi Yunbo, Z. Wenjie, Feng Qiaohua, Wang Xuan, S. Li-ning","doi":"10.1109/IFOST.2011.6021230","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021230","url":null,"abstract":"For the problem of gas qualitatively identify in the field of gas detection, this paper is based on the multi-sensor and pattern recognition of neural network, the uniform change voltage of the sensor output is simulated by the gradient descent algorithm, the additional momentum algorithm and the LM algorithm of neural network, then compare the three simulation results of the three algorithms, the result proves that the LM algorithm is the optimal algorithm of the data simulation in this paper, in the range of allowable error, completed the gas qualitative identification.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"82 1","pages":"1176-1180"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82137972","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021155
Jing Ma, Yanxia Yang
In this paper mainly describes a quartz tuning fork temperature sensor based on bending vibration. The main working components of quartz tuning fork temperature sensor are quartz tuning fork and driving circuit, according to the piezoelectric effect principle of quartz crystal, researching on correlative incentive mode, selecting cut type and setting electrodes reasonably, and applying finite element method and Matlab to simulate and analyze the vibration mode as well as temperature and frequency characteristic. The experiment proves that it doesn't have increment error that brought by A/D converter, and it can be compatible with high speed digital systems, at the meanwhile it has high precision, low cost, small size, great developing potential. The experimental results shown that a temperature accuracy of 0.01 °C and a resolution of 0.005 °C within temperature range from 0 °C to 100 °C. All these research are helpful to design satisfactory performance of the sensor for temperature measurement.
{"title":"Novel designs for quartz tuning fork temperature sensor","authors":"Jing Ma, Yanxia Yang","doi":"10.1109/IFOST.2011.6021155","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021155","url":null,"abstract":"In this paper mainly describes a quartz tuning fork temperature sensor based on bending vibration. The main working components of quartz tuning fork temperature sensor are quartz tuning fork and driving circuit, according to the piezoelectric effect principle of quartz crystal, researching on correlative incentive mode, selecting cut type and setting electrodes reasonably, and applying finite element method and Matlab to simulate and analyze the vibration mode as well as temperature and frequency characteristic. The experiment proves that it doesn't have increment error that brought by A/D converter, and it can be compatible with high speed digital systems, at the meanwhile it has high precision, low cost, small size, great developing potential. The experimental results shown that a temperature accuracy of 0.01 °C and a resolution of 0.005 °C within temperature range from 0 °C to 100 °C. All these research are helpful to design satisfactory performance of the sensor for temperature measurement.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"10 1","pages":"856-859"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79487404","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 : 2011-09-15DOI: 10.1109/IFOST.2011.6021238
Guang-xue Yang, Zheng Liu
According to the characteristics of forest fire, this paper design a forest fire monitoring system based on wireless sensor network. The system consists of ZigBee coordinator, routers, end nodes and PC computer. The ZigBee nodes compose wireless sensor network by ad-hoc network mode, and is mainly responsible for collecting and transporting the special environment parameters of the forest including temperature, humidity, and light intensity and so on. LabVIEW based on PC computer analyzes and displays the data that transported from ZigBee network, so as to achieve real-time remote monitoring of forest environment.
{"title":"The design of forest fire monitoring system based on wireless sensor network","authors":"Guang-xue Yang, Zheng Liu","doi":"10.1109/IFOST.2011.6021238","DOIUrl":"https://doi.org/10.1109/IFOST.2011.6021238","url":null,"abstract":"According to the characteristics of forest fire, this paper design a forest fire monitoring system based on wireless sensor network. The system consists of ZigBee coordinator, routers, end nodes and PC computer. The ZigBee nodes compose wireless sensor network by ad-hoc network mode, and is mainly responsible for collecting and transporting the special environment parameters of the forest including temperature, humidity, and light intensity and so on. LabVIEW based on PC computer analyzes and displays the data that transported from ZigBee network, so as to achieve real-time remote monitoring of forest environment.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":"135 1 1","pages":"1211-1214"},"PeriodicalIF":0.0,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79630514","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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