2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2010
Rapid changes on the goods market take place today. These changes require an increased flexibilit... more Rapid changes on the goods market take place today. These changes require an increased flexibility of the production systems in order to quickly adapt the manufacturing system to a new model of product. However, increasing the flexibility usually also increases the complexity of the system, and therefore the costs per part produced. The challenge is to develop control strategies capable
2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2010
Most electrically powered upper limb prostheses are myoelectrically controlled. The myoelectric c... more Most electrically powered upper limb prostheses are myoelectrically controlled. The myoelectric controllers use surface electromyographical signals as inputs. These signals, collected from the surface of the skin, have to be preprocessed before being used as inputs for the controller. In this paper we present a classifier for surface electromyographical signals based on an autoregressive (AR) model representation and a neural
19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010), 2010
Myolectric control is nowadays the most used approach for electrically-powered upper limb prosthe... more Myolectric control is nowadays the most used approach for electrically-powered upper limb prostheses. The myoelectric controllers use electromyographic (EMG) signals as inputs. These signals can be collected from the skin surface using surface EMG sensors, or intramuscular, using needle sensors. No matter which method is used, they have to be processed before being used as controller inputs. In this paper,
Tubular electrolyte-supporting solid oxide fuel cells directly operated on carbon fuel were fabri... more Tubular electrolyte-supporting solid oxide fuel cells directly operated on carbon fuel were fabricated and tested. Gadolinia doped ceria (GDC) mixed with silver was used as the anode to catalyze the electrochemical oxidation of CO while Fe-based catalyst was loaded on the carbon fuel to enhance the Boudouard reaction. The performance was significantly improved, with a maximum power density of 45 mW cm À2 , 10 times higher than that of the cell without any catalyst. Impedance measurements showed that the polarization resistance was decreased by tens of times through applying catalysts in the cell. An operation life of 10 h was observed at a constant current of 70 mA. The mechanism of the cell reaction was analyzed.
IEEE Transactions on Evolutionary Computation, 2013
Evolvable Hardware (EHW) has shown itself to be a promising approach for prosthetic hand controll... more Evolvable Hardware (EHW) has shown itself to be a promising approach for prosthetic hand controllers. Besides competitive classification performance, EHW classifiers offer self-adaptation, fast training, and a compact implementation. However, evolvable hardware classifiers have not yet been sufficiently compared to state-of-the-art conventional classifiers. In this article, we compare two evolvable hardware approaches to four conventional classification techniques: k-nearest-neighbor, decision trees, artificial neural networks, and support vector machines. We provide all classifiers with features extracted from electromyographic signals taken from forearm muscle contractions, and let the algorithms recognize eight to eleven different kinds of hand movements. We investigate classification accuracy on a fixed data set and stability of classification error rates when new data is introduced. For this purpose, we have recorded a short-term data set from three individuals over three consecutive days and a long-term data set from a single individual over three weeks. Experimental results demonstrate that evolvable hardware approaches are indeed able to compete with state-ofthe-art classifiers in terms of classification performance.
Document details from CiteSeerX (Isaac Councill, Lee Giles): Abstract ticular has been characteri... more Document details from CiteSeerX (Isaac Councill, Lee Giles): Abstract ticular has been characterized by the explosive develop-If society is viewed as a super-organism, communication networks play the role of its brain. This metaphor is developed ...
After about two years into my Ph.D. program at the University of California, Davis, I began wonde... more After about two years into my Ph.D. program at the University of California, Davis, I began wondering what exactly an ecological model does, how useful it is for advancing science, how complex a model should be, and whether it would be possible for me to make a career with the training of simulation modeling. I was assigned to work alone on a highly complex, physiologically based, plant growth model for my Ph.D. degree-a daunting task for a graduate studentfor four and an half years. Since then, I have wondered about those questions and had never found satisfactory answers. The book ''Models in ecosystem science'' edited by Charles Canham, Jonathan Cole, and William Lauenroth, adeptly scrutinizes those questions. If you ever wondered about them, too, you need to read this book. In the book, a group of excellent ecologists share with you their experience of working with ecological models, their insights into various modeling issues, and their visions of future directions. This book evolved from the ''ninth Cary Conference, held in May 2001 at the Institute of Ecosystem Studies, Millbrook, N.Y.'' It is composed of 27 contributed chapters, which are divided into five parts. The first part is six chapters long and addresses general topics of quantitative modeling in regard to its role in: science and policy making; simplicity vs. complexity; and the general attitude of and practice by ecologists. The second part of the book, consisting of eight chapters, focuses on the methods of evaluating and testing models such as traditional validation, Bayesian analysis, model intercomparison, and uncertainty analysis. Six chapters in the third part of the book discuss applications of ecosystem models to research on environmental policy and management. Of the six chapters, one gives overviewed general issues regarding the applications and the other five chapters offer case studies on N deposition, coastal eutrophication, ecological toxicology, plant invasion, and climate change. The fourth part of the book attempts to answer the question: what is the future of modeling in ecosystem science? Two chapters in this part offer practical recommendations on how to incorporate quantitative modeling into undergraduate education and how to advance modeling skills for professional ecologists. One chapter identifies bottlenecks for model development and limitations of model applications. The fifth part of the book consists of three commentaries on the fast-and-frugal ecosystem models to accelerate learning and progress in ecology, the uses of modeling and scenario building to promote communications between scientists and policy-makers, and the community-wide investment in modeling.
2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2010
Rapid changes on the goods market take place today. These changes require an increased flexibilit... more Rapid changes on the goods market take place today. These changes require an increased flexibility of the production systems in order to quickly adapt the manufacturing system to a new model of product. However, increasing the flexibility usually also increases the complexity of the system, and therefore the costs per part produced. The challenge is to develop control strategies capable
2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2010
Most electrically powered upper limb prostheses are myoelectrically controlled. The myoelectric c... more Most electrically powered upper limb prostheses are myoelectrically controlled. The myoelectric controllers use surface electromyographical signals as inputs. These signals, collected from the surface of the skin, have to be preprocessed before being used as inputs for the controller. In this paper we present a classifier for surface electromyographical signals based on an autoregressive (AR) model representation and a neural
19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010), 2010
Myolectric control is nowadays the most used approach for electrically-powered upper limb prosthe... more Myolectric control is nowadays the most used approach for electrically-powered upper limb prostheses. The myoelectric controllers use electromyographic (EMG) signals as inputs. These signals can be collected from the skin surface using surface EMG sensors, or intramuscular, using needle sensors. No matter which method is used, they have to be processed before being used as controller inputs. In this paper,
Tubular electrolyte-supporting solid oxide fuel cells directly operated on carbon fuel were fabri... more Tubular electrolyte-supporting solid oxide fuel cells directly operated on carbon fuel were fabricated and tested. Gadolinia doped ceria (GDC) mixed with silver was used as the anode to catalyze the electrochemical oxidation of CO while Fe-based catalyst was loaded on the carbon fuel to enhance the Boudouard reaction. The performance was significantly improved, with a maximum power density of 45 mW cm À2 , 10 times higher than that of the cell without any catalyst. Impedance measurements showed that the polarization resistance was decreased by tens of times through applying catalysts in the cell. An operation life of 10 h was observed at a constant current of 70 mA. The mechanism of the cell reaction was analyzed.
IEEE Transactions on Evolutionary Computation, 2013
Evolvable Hardware (EHW) has shown itself to be a promising approach for prosthetic hand controll... more Evolvable Hardware (EHW) has shown itself to be a promising approach for prosthetic hand controllers. Besides competitive classification performance, EHW classifiers offer self-adaptation, fast training, and a compact implementation. However, evolvable hardware classifiers have not yet been sufficiently compared to state-of-the-art conventional classifiers. In this article, we compare two evolvable hardware approaches to four conventional classification techniques: k-nearest-neighbor, decision trees, artificial neural networks, and support vector machines. We provide all classifiers with features extracted from electromyographic signals taken from forearm muscle contractions, and let the algorithms recognize eight to eleven different kinds of hand movements. We investigate classification accuracy on a fixed data set and stability of classification error rates when new data is introduced. For this purpose, we have recorded a short-term data set from three individuals over three consecutive days and a long-term data set from a single individual over three weeks. Experimental results demonstrate that evolvable hardware approaches are indeed able to compete with state-ofthe-art classifiers in terms of classification performance.
Document details from CiteSeerX (Isaac Councill, Lee Giles): Abstract ticular has been characteri... more Document details from CiteSeerX (Isaac Councill, Lee Giles): Abstract ticular has been characterized by the explosive develop-If society is viewed as a super-organism, communication networks play the role of its brain. This metaphor is developed ...
After about two years into my Ph.D. program at the University of California, Davis, I began wonde... more After about two years into my Ph.D. program at the University of California, Davis, I began wondering what exactly an ecological model does, how useful it is for advancing science, how complex a model should be, and whether it would be possible for me to make a career with the training of simulation modeling. I was assigned to work alone on a highly complex, physiologically based, plant growth model for my Ph.D. degree-a daunting task for a graduate studentfor four and an half years. Since then, I have wondered about those questions and had never found satisfactory answers. The book ''Models in ecosystem science'' edited by Charles Canham, Jonathan Cole, and William Lauenroth, adeptly scrutinizes those questions. If you ever wondered about them, too, you need to read this book. In the book, a group of excellent ecologists share with you their experience of working with ecological models, their insights into various modeling issues, and their visions of future directions. This book evolved from the ''ninth Cary Conference, held in May 2001 at the Institute of Ecosystem Studies, Millbrook, N.Y.'' It is composed of 27 contributed chapters, which are divided into five parts. The first part is six chapters long and addresses general topics of quantitative modeling in regard to its role in: science and policy making; simplicity vs. complexity; and the general attitude of and practice by ecologists. The second part of the book, consisting of eight chapters, focuses on the methods of evaluating and testing models such as traditional validation, Bayesian analysis, model intercomparison, and uncertainty analysis. Six chapters in the third part of the book discuss applications of ecosystem models to research on environmental policy and management. Of the six chapters, one gives overviewed general issues regarding the applications and the other five chapters offer case studies on N deposition, coastal eutrophication, ecological toxicology, plant invasion, and climate change. The fourth part of the book attempts to answer the question: what is the future of modeling in ecosystem science? Two chapters in this part offer practical recommendations on how to incorporate quantitative modeling into undergraduate education and how to advance modeling skills for professional ecologists. One chapter identifies bottlenecks for model development and limitations of model applications. The fifth part of the book consists of three commentaries on the fast-and-frugal ecosystem models to accelerate learning and progress in ecology, the uses of modeling and scenario building to promote communications between scientists and policy-makers, and the community-wide investment in modeling.
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