Pub Date : 2009-05-11DOI: 10.1109/CIMSA.2009.5069956
K. Buyukhatipoglu, R. Chang, Wei Sun, A. Clyne
Tissue engineering may require recreation of the complex, three-dimensional native tissue architecture. While bioprinting allows cell and bioactive factor deposition in a precise pattern, it remains difficult to manipulate and track cells and bioactive factors after printing. We now show that superparamagnetic nanoparticles can be printed in an alginate hydrogel or inside cells themselves with low cell toxicity. Both nanoparticles and cells loaded with nanoparticles can be moved within the alginate hydrogel using a low field magnet, and nanoparticles can be imaged within the three-dimensional structure by micro-computed tomography. These data suggest that nanoparticles may advance biomanufacturing capabilities.
{"title":"Bioprinted nanoparticles for tissue engineering","authors":"K. Buyukhatipoglu, R. Chang, Wei Sun, A. Clyne","doi":"10.1109/CIMSA.2009.5069956","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069956","url":null,"abstract":"Tissue engineering may require recreation of the complex, three-dimensional native tissue architecture. While bioprinting allows cell and bioactive factor deposition in a precise pattern, it remains difficult to manipulate and track cells and bioactive factors after printing. We now show that superparamagnetic nanoparticles can be printed in an alginate hydrogel or inside cells themselves with low cell toxicity. Both nanoparticles and cells loaded with nanoparticles can be moved within the alginate hydrogel using a low field magnet, and nanoparticles can be imaged within the three-dimensional structure by micro-computed tomography. These data suggest that nanoparticles may advance biomanufacturing capabilities.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128981411","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}
Within this paper the application of an ant colony optimization (ACO) algorithm to inspection planning is presented. Since inspection planning is a time consuming task, optimizing these activities plays a major role in the quality inspection field. In this paper the extraction procedures of local inspection path planning (LIPP) and measurement device selection (MDS) to travelling salesman problem (TSP) and subset problem are presented respectively. An ACO algorithm based on Max-Min Ant System (MMAS) is presented for solving the problems. Experiment on industrial workpiece shows the applicability of ACO to inspection planning.
{"title":"Application of ant colony optimization to inspection planning","authors":"R. Schmitt, Hanqing Zheng, Xiongfei Zhao, Niels Konig, Raphael Rocha Coelho","doi":"10.1109/CIMSA.2009.5069921","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069921","url":null,"abstract":"Within this paper the application of an ant colony optimization (ACO) algorithm to inspection planning is presented. Since inspection planning is a time consuming task, optimizing these activities plays a major role in the quality inspection field. In this paper the extraction procedures of local inspection path planning (LIPP) and measurement device selection (MDS) to travelling salesman problem (TSP) and subset problem are presented respectively. An ACO algorithm based on Max-Min Ant System (MMAS) is presented for solving the problems. Experiment on industrial workpiece shows the applicability of ACO to inspection planning.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128714979","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069949
Mehran Ziadloo, Siamak Sobhany Ghamsary, N. Mozayani
In multi-agent negotiation the difficulty of the problem depends on how many issues are under negotiation and how complex agents' utility functions are. In this paper we propose a framework for evaluating different techniques for solving negotiation problems and used it to show how hard a negotiation problem can become. We used mediated single text negotiation protocol with genetic algorithms mediator and hill climber agents. Negotiations were conducted over deals with binary issues presented as binary strings. Utility functions with binary and higher levels of dependency between issues were used. Our results show that size of problem does not affect performance, until higher levels of dependency between issues are presented in utility functions. Genetic algorithm method was able to solve the problem with relatively good performance in all levels of dependency that we tested.
{"title":"On the hardness of negotiations in multi-agent systems","authors":"Mehran Ziadloo, Siamak Sobhany Ghamsary, N. Mozayani","doi":"10.1109/CIMSA.2009.5069949","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069949","url":null,"abstract":"In multi-agent negotiation the difficulty of the problem depends on how many issues are under negotiation and how complex agents' utility functions are. In this paper we propose a framework for evaluating different techniques for solving negotiation problems and used it to show how hard a negotiation problem can become. We used mediated single text negotiation protocol with genetic algorithms mediator and hill climber agents. Negotiations were conducted over deals with binary issues presented as binary strings. Utility functions with binary and higher levels of dependency between issues were used. Our results show that size of problem does not affect performance, until higher levels of dependency between issues are presented in utility functions. Genetic algorithm method was able to solve the problem with relatively good performance in all levels of dependency that we tested.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121372014","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}
In China, there are approximate 1.3% to 13.4% of children who have Attention Deficit Hyperactivity Disorder (ADHD), which may affect their physiology and psychology development badly. Attention related electroencephalograph (EEG) signals during the limbs motor imagery can be used to tell the different levels of people's attention. Such an EEG-based attention level discrimination can provide a method in curing ADHD and it can also be used in curing Altheimer's Disease patients. The conventional methods purpose the feature extraction of limbs motor imagery. In this study, Multiscale Entropy (MSE) is introduced to discriminate the EEG signals recorded during three attention tasks. We have discriminated the different attention states by using this method, with 63.158% accuracy to some subjects. The effectiveness of the method is proved by our experiment.
{"title":"Multiscale entropy analysis of attention ralated EEG based on motor imaginary potential","authors":"Dong Ming, Mingming Zhang, Youyuan Xi, Hongzhi Qi, Yong Hu, K. Luk","doi":"10.1109/CIMSA.2009.5069911","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069911","url":null,"abstract":"In China, there are approximate 1.3% to 13.4% of children who have Attention Deficit Hyperactivity Disorder (ADHD), which may affect their physiology and psychology development badly. Attention related electroencephalograph (EEG) signals during the limbs motor imagery can be used to tell the different levels of people's attention. Such an EEG-based attention level discrimination can provide a method in curing ADHD and it can also be used in curing Altheimer's Disease patients. The conventional methods purpose the feature extraction of limbs motor imagery. In this study, Multiscale Entropy (MSE) is introduced to discriminate the EEG signals recorded during three attention tasks. We have discriminated the different attention states by using this method, with 63.158% accuracy to some subjects. The effectiveness of the method is proved by our experiment.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116144053","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069944
S. Dai, Yen-Chih Wu, Y. Jan, Shu-Chuan Lin
The histological grading of Hepatocellular Carcinoma is essential to prognosis and treatment planning. Providing a quantitative analysis by machine vision is desired for a determination of the grading result. However, the cells on the biopsy are not all in the some depth of focus under the microscope. Some cells in the images captured by machine may become a blur with a small variance of focus. These cells may not be segmented from images or segmented into a undesized shape and thus affect the grading results. Consequently, an “all-in-focus image” is very useful to the grading of Hepatocellular Carcinoma performed by the machine. In this paper, we proposed an image fusion approach based on the wavelet-based focus measure to fuse two images with different depth of focus into one image, which contains much more in-depth focus cells. In our experiments, we demonstrated that the fused images not only provide clear appearance of cells but also higher accuracy of grading than original images.
{"title":"The histological grading of HCC using fusion images","authors":"S. Dai, Yen-Chih Wu, Y. Jan, Shu-Chuan Lin","doi":"10.1109/CIMSA.2009.5069944","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069944","url":null,"abstract":"The histological grading of Hepatocellular Carcinoma is essential to prognosis and treatment planning. Providing a quantitative analysis by machine vision is desired for a determination of the grading result. However, the cells on the biopsy are not all in the some depth of focus under the microscope. Some cells in the images captured by machine may become a blur with a small variance of focus. These cells may not be segmented from images or segmented into a undesized shape and thus affect the grading results. Consequently, an “all-in-focus image” is very useful to the grading of Hepatocellular Carcinoma performed by the machine. In this paper, we proposed an image fusion approach based on the wavelet-based focus measure to fuse two images with different depth of focus into one image, which contains much more in-depth focus cells. In our experiments, we demonstrated that the fused images not only provide clear appearance of cells but also higher accuracy of grading than original images.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132167816","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069965
Xiaojun Wu
The recently proposed 2D-CCA is an important method for high dimensional data representation. The mathematical model of 2D-CCA based on pseudoinverse technique is investigated. The computational formulae for 2D-CCA based on pseudoinverse have been derived theoretically. The results of experiments show that the proposed method is effective for the computation of 2D-CCA.
{"title":"2D-CCA based on pseudoinverse technique","authors":"Xiaojun Wu","doi":"10.1109/CIMSA.2009.5069965","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069965","url":null,"abstract":"The recently proposed 2D-CCA is an important method for high dimensional data representation. The mathematical model of 2D-CCA based on pseudoinverse technique is investigated. The computational formulae for 2D-CCA based on pseudoinverse have been derived theoretically. The results of experiments show that the proposed method is effective for the computation of 2D-CCA.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132970137","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069951
Xiaojun Wu, Shitong Wang, J. Kittler, K. Messer, Jing-yu Yang
In this paper, we first propose a method to transform from LDA to PCA with the discriminative information embedded in a whitening transformation, and then we propose a simple support vector machine formulation to LDA. The results of experiments of face recognition conducted on ORL database show the effectiveness of the proposed method.
{"title":"A theoretical result of a support vector machine formulation to LDA","authors":"Xiaojun Wu, Shitong Wang, J. Kittler, K. Messer, Jing-yu Yang","doi":"10.1109/CIMSA.2009.5069951","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069951","url":null,"abstract":"In this paper, we first propose a method to transform from LDA to PCA with the discriminative information embedded in a whitening transformation, and then we propose a simple support vector machine formulation to LDA. The results of experiments of face recognition conducted on ORL database show the effectiveness of the proposed method.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131131598","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069935
F. Fang, Le Wei
An equilibrium control structure for boiler-turbine units is presented in this paper to restrict the exceeding change of steam pressure. The central component of this structure is named as “Steam Pressure Equilibrium Controller”, which is composed with two parts: the pressure error compensator and the pressure set-point optimizer. The former is designed to regulate the change rate and directions of load demand under certain rules according to the steam pressure error. The latter is designed to change the set-point of steam pressure in a reasonable range if the aberrance of steam pressure is serious. Simulation results show that the proposed control structure has good performance for pressure error control.
{"title":"Pressure equilibrium control for boiler-turbine units","authors":"F. Fang, Le Wei","doi":"10.1109/CIMSA.2009.5069935","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069935","url":null,"abstract":"An equilibrium control structure for boiler-turbine units is presented in this paper to restrict the exceeding change of steam pressure. The central component of this structure is named as “Steam Pressure Equilibrium Controller”, which is composed with two parts: the pressure error compensator and the pressure set-point optimizer. The former is designed to regulate the change rate and directions of load demand under certain rules according to the steam pressure error. The latter is designed to change the set-point of steam pressure in a reasonable range if the aberrance of steam pressure is serious. Simulation results show that the proposed control structure has good performance for pressure error control.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115453473","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069941
L. Y. Weng, J. Omar, Y. K. Siah, I. Abidin, Syed Khaleel Ahmed
Artificial intelligence is used to predict the onset of diabetes based on data measured from Pima Indians. This research is comparing the results gained from using same artificial neural networks- back propagation (ANN-BP) engine for 2 differently prepared data. The first data set consists of the entire data set which is cross validated, while the second dataset is segregated into 2 groups using Kohonen Self Organizing Maps (SOM) which are then cross validated. Splitting the files prior to implementing the cross validation improves the general accuracy of the ANN-BP whereby the positively predicted diabetes cases percentage increased from 72% to 99%. Meanwhile the prediction of the negative diabetic cases percentage increased from 80% to 97%.
{"title":"Improvement of ANN-BP by data pre-segregation using SOM","authors":"L. Y. Weng, J. Omar, Y. K. Siah, I. Abidin, Syed Khaleel Ahmed","doi":"10.1109/CIMSA.2009.5069941","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069941","url":null,"abstract":"Artificial intelligence is used to predict the onset of diabetes based on data measured from Pima Indians. This research is comparing the results gained from using same artificial neural networks- back propagation (ANN-BP) engine for 2 differently prepared data. The first data set consists of the entire data set which is cross validated, while the second dataset is segregated into 2 groups using Kohonen Self Organizing Maps (SOM) which are then cross validated. Splitting the files prior to implementing the cross validation improves the general accuracy of the ANN-BP whereby the positively predicted diabetes cases percentage increased from 72% to 99%. Meanwhile the prediction of the negative diabetic cases percentage increased from 80% to 97%.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123929319","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069917
S. Nurmaini, S. Z. Mohd Hashim
This paper describes environmental recognition and motion control using weightless neural network classifier and interval type-2 fuzzy logic controller. The weightless neural network classifies geometric feature such as U-shape, corridor and left or right corner using ultrasonic sensors. The neural network utilizes previous sensor data and analyzes the situation of the current environment. The behavior of mobile robot is implemented by means of fuzzy control rules. Based on the performance criteria the quality of controller is evaluated to make navigation decisions. This functionality is demonstrated on a mobile robot using modular platform and containing several microcontrollers implies the implementation of a robust architecture. The proposed architecture implemented using low cost range sensor and low cost microprocessor. The experiment results show that the mobile robot can recognize the current environment and was able to successfully avoid obstacle in real time.
{"title":"Motion planning in unknown environment using an interval fuzzy type-2 and neural network classifier","authors":"S. Nurmaini, S. Z. Mohd Hashim","doi":"10.1109/CIMSA.2009.5069917","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069917","url":null,"abstract":"This paper describes environmental recognition and motion control using weightless neural network classifier and interval type-2 fuzzy logic controller. The weightless neural network classifies geometric feature such as U-shape, corridor and left or right corner using ultrasonic sensors. The neural network utilizes previous sensor data and analyzes the situation of the current environment. The behavior of mobile robot is implemented by means of fuzzy control rules. Based on the performance criteria the quality of controller is evaluated to make navigation decisions. This functionality is demonstrated on a mobile robot using modular platform and containing several microcontrollers implies the implementation of a robust architecture. The proposed architecture implemented using low cost range sensor and low cost microprocessor. The experiment results show that the mobile robot can recognize the current environment and was able to successfully avoid obstacle in real time.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116111066","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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