Minyou Chen - Academia.edu (original) (raw)
Papers by Minyou Chen
IEEE Transactions on Smart Grid, 2015
In this paper, an agent-based decentralized control model for islanded microgrids is proposed, wh... more In this paper, an agent-based decentralized control model for islanded microgrids is proposed, which consists of a two-layer control structure. The bottom layer is the electrical distribution microgrid, while the top layer is the communication network composed of agents. An agent is regarded as a local control processor together with communication devices, so agents can collect present states of distributed generators and loads, when communication lines are added between two layers. Moreover, each agent can also exchange information with its neighboring agents of the network. After information is processed according to control laws, agents adjust the production of distributed generators to which they connect. The main contributions of this paper are (i) an agent-based model for decentralized secondary control is introduced and the rules to establish the communication network are given; (ii) a systematic method is presented, which can be used to derive a set of control laws for agents from any given communication network, where only local information is needed. Furthermore, it has been seen that the output power supplied by distributed generators satisfies the load demand in the microgrid, when agents use the proposed control laws. Finally, the simulation results show that frequency and voltage fluctuations are small and meet the requirements.
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy, 2015
IEEE Transactions on Smart Grid, 2016
Communications in Computer and Information Science, 2011
A fuzzy pattern recognition method is proposed to assess the degree of mental fatigue. To find th... more A fuzzy pattern recognition method is proposed to assess the degree of mental fatigue. To find the relationship between mental fatigue and parameters of electroencephalogram (EEG), the wavelet packet analysis was used to extract basic rhythms from EEG in three states of mental fatigue. It was found that the EEG from frontal pole of brain presents significant distinction on basic
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), 2014
IEEE Transactions on Smart Grid, 2015
In this paper, an agent-based decentralized control model for islanded microgrids is proposed, wh... more In this paper, an agent-based decentralized control model for islanded microgrids is proposed, which consists of a two-layer control structure. The bottom layer is the electrical distribution microgrid, while the top layer is the communication network composed of agents. An agent is regarded as a local control processor together with communication devices, so agents can collect present states of distributed generators and loads, when communication lines are added between two layers. Moreover, each agent can also exchange information with its neighboring agents of the network. After information is processed according to control laws, agents adjust the production of distributed generators to which they connect. The main contributions of this paper are (i) an agent-based model for decentralized secondary control is introduced and the rules to establish the communication network are given; (ii) a systematic method is presented, which can be used to derive a set of control laws for agents from any given communication network, where only local information is needed. Furthermore, it has been seen that the output power supplied by distributed generators satisfies the load demand in the microgrid, when agents use the proposed control laws. Finally, the simulation results show that frequency and voltage fluctuations are small and meet the requirements.
Journal of Convergence Information Technology, 2012
Clinical cancer research : an official journal of the American Association for Cancer Research, Jan 15, 2003
New techniques for the prediction of tumor behavior are needed, because statistical analysis has ... more New techniques for the prediction of tumor behavior are needed, because statistical analysis has a poor accuracy and is not applicable to the individual. Artificial intelligence (AI) may provide these suitable methods. Whereas artificial neural networks (ANN), the best-studied form of AI, have been used successfully, its hidden networks remain an obstacle to its acceptance. Neuro-fuzzy modeling (NFM), another AI method, has a transparent functional layer and is without many of the drawbacks of ANN. We have compared the predictive accuracies of NFM, ANN, and traditional statistical methods, for the behavior of bladder cancer. Experimental molecular biomarkers, including p53 and the mismatch repair proteins, and conventional clinicopathological data were studied in a cohort of 109 patients with bladder cancer. For all three of the methods, models were produced to predict the presence and timing of a tumor relapse. Both methods of AI predicted relapse with an accuracy ranging from 88% ...
2012 First National Conference for Engineering Sciences (FNCES 2012), 2012
Advanced Computer Control, 2014
ABSTRACT An evolutionary particle swarm optimisation (EPSO) approach is presented to improve the ... more ABSTRACT An evolutionary particle swarm optimisation (EPSO) approach is presented to improve the performance of PSO algorithm for multi-objective optimisation. The proposed approach incorporates non-dominated sorting, adaptive inertia weight and a special mutation operation into particle swarm optimisation to enhance the exploratory capability of the algorithm and improve the diversity of the Pareto solutions. To deal with multi-objective optimisation problems, we use dominance-based rank to guide the flight of particles. The proposed algorithm has been validated using several well-known benchmark test functions and successfully applied to the multi-objective optimal design of alloy steels, which aims at determining the optimal process parameters and the required weight percentages of the chemical composites in order to obtain the pre-defined mechanical properties of the materials. The results have shown that the algorithm can locate the constrained optimal design with a very good accuracy.
Physica A: Statistical Mechanics and its Applications, 2012
Quantum strategies are introduced into evolutionary games. The agents using quantum strategies ar... more Quantum strategies are introduced into evolutionary games. The agents using quantum strategies are regarded as invaders, whose fraction generally is 1% of a population, in contrast to the 50% of the population that are defectors. In this paper, the evolution of strategies on networks is investigated in a defector-dominated population, when three networks (square lattice, Newman-Watts small-world network, and scale-free network) are constructed and three games (Prisoners' Dilemma, Snowdrift, and Stag-Hunt) are employed. As far as these three games are concerned, the results show that quantum strategies can always invade the population successfully. Comparing the three networks, we find that the square lattice is most easily invaded by agents that adopt quantum strategies. However, a scale-free network can be invaded by agents adopting quantum strategies only if a hub is occupied by an agent with a quantum strategy or if the fraction of agents with quantum strategies in the population is significant.
New Journal of Physics, 2012
Biomedical Engineering: Applications, Basis and Communications, 2004
Xew technique* fur the prediction of tumour behaviour are needed as statistical analysis has a po... more Xew technique* fur the prediction of tumour behaviour are needed as statistical analysis has a pour at curacy and /v nut applicable to the individual. Artificial intelligence (A/) mar provide these suitable methods He have previously shown that the predictive accuracies of nonro-fiizzy modelling t\F\!) and artificial neural networks (ANN), two methods of Al. are superior to traditional statistical methods lor the behaviour of bladder cancer (Catto el al, 200M. In this paper, we explain the Al techniques required So produce these predictive models. We used 9 parameters, which were a combination of experimental molecular hiomarkers and conventional clinicopathological data, to predict the risk of tumour progression in a population of I OS) patients with bladder cancer. NFM. using fuzzy logic to model data, achieved similar or superior predictive accuracy to . JA' .V, which required cross-validation. However, unlike the impenetrable opaque structure of neural networks, the i rules of Xf'XI tire transparent, enabling validation from clinical knowledge and the manipulation of input variables to allow exploratory predictions.
IEEE Transactions on Power Electronics, 2016
2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016
IEEE Transactions on Smart Grid, 2016
2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016
IET Power Electronics, 2016
IEEE Transactions on Smart Grid, 2015
In this paper, an agent-based decentralized control model for islanded microgrids is proposed, wh... more In this paper, an agent-based decentralized control model for islanded microgrids is proposed, which consists of a two-layer control structure. The bottom layer is the electrical distribution microgrid, while the top layer is the communication network composed of agents. An agent is regarded as a local control processor together with communication devices, so agents can collect present states of distributed generators and loads, when communication lines are added between two layers. Moreover, each agent can also exchange information with its neighboring agents of the network. After information is processed according to control laws, agents adjust the production of distributed generators to which they connect. The main contributions of this paper are (i) an agent-based model for decentralized secondary control is introduced and the rules to establish the communication network are given; (ii) a systematic method is presented, which can be used to derive a set of control laws for agents from any given communication network, where only local information is needed. Furthermore, it has been seen that the output power supplied by distributed generators satisfies the load demand in the microgrid, when agents use the proposed control laws. Finally, the simulation results show that frequency and voltage fluctuations are small and meet the requirements.
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy, 2015
IEEE Transactions on Smart Grid, 2016
Communications in Computer and Information Science, 2011
A fuzzy pattern recognition method is proposed to assess the degree of mental fatigue. To find th... more A fuzzy pattern recognition method is proposed to assess the degree of mental fatigue. To find the relationship between mental fatigue and parameters of electroencephalogram (EEG), the wavelet packet analysis was used to extract basic rhythms from EEG in three states of mental fatigue. It was found that the EEG from frontal pole of brain presents significant distinction on basic
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), 2014
IEEE Transactions on Smart Grid, 2015
In this paper, an agent-based decentralized control model for islanded microgrids is proposed, wh... more In this paper, an agent-based decentralized control model for islanded microgrids is proposed, which consists of a two-layer control structure. The bottom layer is the electrical distribution microgrid, while the top layer is the communication network composed of agents. An agent is regarded as a local control processor together with communication devices, so agents can collect present states of distributed generators and loads, when communication lines are added between two layers. Moreover, each agent can also exchange information with its neighboring agents of the network. After information is processed according to control laws, agents adjust the production of distributed generators to which they connect. The main contributions of this paper are (i) an agent-based model for decentralized secondary control is introduced and the rules to establish the communication network are given; (ii) a systematic method is presented, which can be used to derive a set of control laws for agents from any given communication network, where only local information is needed. Furthermore, it has been seen that the output power supplied by distributed generators satisfies the load demand in the microgrid, when agents use the proposed control laws. Finally, the simulation results show that frequency and voltage fluctuations are small and meet the requirements.
Journal of Convergence Information Technology, 2012
Clinical cancer research : an official journal of the American Association for Cancer Research, Jan 15, 2003
New techniques for the prediction of tumor behavior are needed, because statistical analysis has ... more New techniques for the prediction of tumor behavior are needed, because statistical analysis has a poor accuracy and is not applicable to the individual. Artificial intelligence (AI) may provide these suitable methods. Whereas artificial neural networks (ANN), the best-studied form of AI, have been used successfully, its hidden networks remain an obstacle to its acceptance. Neuro-fuzzy modeling (NFM), another AI method, has a transparent functional layer and is without many of the drawbacks of ANN. We have compared the predictive accuracies of NFM, ANN, and traditional statistical methods, for the behavior of bladder cancer. Experimental molecular biomarkers, including p53 and the mismatch repair proteins, and conventional clinicopathological data were studied in a cohort of 109 patients with bladder cancer. For all three of the methods, models were produced to predict the presence and timing of a tumor relapse. Both methods of AI predicted relapse with an accuracy ranging from 88% ...
2012 First National Conference for Engineering Sciences (FNCES 2012), 2012
Advanced Computer Control, 2014
ABSTRACT An evolutionary particle swarm optimisation (EPSO) approach is presented to improve the ... more ABSTRACT An evolutionary particle swarm optimisation (EPSO) approach is presented to improve the performance of PSO algorithm for multi-objective optimisation. The proposed approach incorporates non-dominated sorting, adaptive inertia weight and a special mutation operation into particle swarm optimisation to enhance the exploratory capability of the algorithm and improve the diversity of the Pareto solutions. To deal with multi-objective optimisation problems, we use dominance-based rank to guide the flight of particles. The proposed algorithm has been validated using several well-known benchmark test functions and successfully applied to the multi-objective optimal design of alloy steels, which aims at determining the optimal process parameters and the required weight percentages of the chemical composites in order to obtain the pre-defined mechanical properties of the materials. The results have shown that the algorithm can locate the constrained optimal design with a very good accuracy.
Physica A: Statistical Mechanics and its Applications, 2012
Quantum strategies are introduced into evolutionary games. The agents using quantum strategies ar... more Quantum strategies are introduced into evolutionary games. The agents using quantum strategies are regarded as invaders, whose fraction generally is 1% of a population, in contrast to the 50% of the population that are defectors. In this paper, the evolution of strategies on networks is investigated in a defector-dominated population, when three networks (square lattice, Newman-Watts small-world network, and scale-free network) are constructed and three games (Prisoners' Dilemma, Snowdrift, and Stag-Hunt) are employed. As far as these three games are concerned, the results show that quantum strategies can always invade the population successfully. Comparing the three networks, we find that the square lattice is most easily invaded by agents that adopt quantum strategies. However, a scale-free network can be invaded by agents adopting quantum strategies only if a hub is occupied by an agent with a quantum strategy or if the fraction of agents with quantum strategies in the population is significant.
New Journal of Physics, 2012
Biomedical Engineering: Applications, Basis and Communications, 2004
Xew technique* fur the prediction of tumour behaviour are needed as statistical analysis has a po... more Xew technique* fur the prediction of tumour behaviour are needed as statistical analysis has a pour at curacy and /v nut applicable to the individual. Artificial intelligence (A/) mar provide these suitable methods He have previously shown that the predictive accuracies of nonro-fiizzy modelling t\F\!) and artificial neural networks (ANN), two methods of Al. are superior to traditional statistical methods lor the behaviour of bladder cancer (Catto el al, 200M. In this paper, we explain the Al techniques required So produce these predictive models. We used 9 parameters, which were a combination of experimental molecular hiomarkers and conventional clinicopathological data, to predict the risk of tumour progression in a population of I OS) patients with bladder cancer. NFM. using fuzzy logic to model data, achieved similar or superior predictive accuracy to . JA' .V, which required cross-validation. However, unlike the impenetrable opaque structure of neural networks, the i rules of Xf'XI tire transparent, enabling validation from clinical knowledge and the manipulation of input variables to allow exploratory predictions.
IEEE Transactions on Power Electronics, 2016
2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016
IEEE Transactions on Smart Grid, 2016
2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016
IET Power Electronics, 2016