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NAKANO Hidehiro

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Published Papers  
No.TitleJournalVolNoStart PageEnd PagePublication dateDOIReferee
1Analysis and Investigation of Frame Invariance and Particle Behavior for Piecewise-Linear Particle Swarm Optimizer IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E102.A 12 1956 1967 Dec. 1, 2019 https://doi.org/10.1587/transfun.e102.a.19561Refereed 
2Search Property of Nonlinear Map Optimization 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings 3213 3220 Jun. 2019 https://doi.org/10.1109/CEC.2019.87902271
3Search Property of Nonlinear Map Optimization 2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) 3213 3220 2019  
4Investigation of particles behaviors of piecewise-linear particle swarm optimizer 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings 2018- Feb. 2, 2018 https://doi.org/10.1109/SSCI.2017.82853371Refereed 
5Analysis of Solving Performances for a Piecewise-Linear Particle Swarm Optimizer Trans. JPNSEC 10 Jun. 2017 https://doi.org/10.11394/tjpnsec.8.11Refereed 
6Deterministic Particle Swarm Optimizer with the Convergence and Divergence Dynamics IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E100A 1244 1247 May. 2017 https://doi.org/10.1587/transfun.E100.A.12441Refereed 
7Particle Swarm Optimizer Networks with Stochastic Connection for Improvement of Diversity Search Ability to Solve Multimodal Optimization Problems IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E100A 996 1007 Apr. 2017 https://doi.org/10.1587/transfun.E100.A.9961Refereed 
8Solving Performances of Piecewise-Linear Particle Swarm Optimizer with Chaotic Dynamics 2016 JOINT 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 17TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) 287 292 2016 https://doi.org/10.1109/SCIS&ISIS.2016.1931Refereed 
9Analysis for basic dynamics and performances of piecewise particle swarm optimizers 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 3252 3257 2016  Refereed 
10Improvement of the Solving Performance by the Networking of Particle Swarm Optimization IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E98A 1777 1786 Aug. 2015 https://doi.org/10.1587/transfun.E98.A.17771Refereed 
11Lets go to IEICE Workshops!:Nonlinear Problems (NLP) IEICE Fundamentals Review 159 159 2015 https://doi.org/10.1587/essfr.9.2_1591
12An Artificial Bee Colony Algorithm with a Memory Scheme for Dynamic Optimization Problems 2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) 2657 2663 2015  Refereed 
13A partial update particle swarm optimization for high-dimensional optimization problems ICIC Express Letters 759 764 Mar. 2014  Refereed 
14Solving performances of PSO networks with temporal couplings Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2014- January 591 595 2014 https://doi.org/10.1109/SMC.2014.69739721Refereed 
15A Routing Algorithm for Mobile Ad Hoc Networks Based on Multi-Agent Cost Learning ICIC Express Letters 67 72 Jan. 2013  Refereed 
16A competitive particle swarm optimizer and its application to wireless sensor networks IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING S1 S52 S58 Dec. 2012 https://doi.org/10.1002/tee.218061Refereed 
17A Parallel Distributed Structure Learning Method of Dynamic Bayesian Networks Using Discrete Particle Swarm Optimization Artificial Life and Robotics 16 329 332 Dec. 2011  Refereed 
18CHAOS SYNCHRONIZATION-BASED DATA TRANSMISSION SCHEME IN MULTIPLE SINK WIRELESS SENSOR NETWORKS INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1983 1994 Apr. 2011  Refereed 
19A Learning Method for Dynamic Bayesian Network Structures Using a Multi-Objective Particle Swarm Optimizer PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11) 877 880 2011  Refereed 
20An Adaptive Selection Scheme of Forwarding Nodes in Wireless Sensor Networks Using a Chaotic Neural Network ICIC Express Letters 5(A) 1649 1655 Sep. 2010  Refereed 
21A Competitive Particle Swarm Optimization for Finding Plural Acceptable Solutions ICIC Express Letters 5(B) 1899 1904 Sep. 2010  Refereed 
22GROUPING OF MOBILE NODES IN MANET BASED ON LOCATION AND MOBILITY INFORMATION USING AN ART NETWORK INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 11B 4357 4365 Nov. 2009  Refereed 
23An Efficient Data Gathering Scheme Using a Chaotic PCNN in Wireless Sensor Networks with Multiple Sink Nodes ICIC Express Letters 3(B) 805 811 Sep. 2009  Refereed 
24An Effective Allocation Scheme for Sink Nodes in Wireless Sensor Networks Using Suppression PSO ICIC Express Letters 3(A) 519 524 Sep. 2009  Refereed 
25Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks for Wireless Sensor Networks IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E92A 459 466 Feb. 2009 https://doi.org/10.1587/transfun.E92.A.4591Refereed 
26A simple chaotic circuit with impulsive switch depending on time and state NONLINEAR DYNAMICS 44 1-4 73 79 Jun. 2006 https://doi.org/10.1007/s11071-006-1937-11Refereed 
27A Reinforcement Learning Method Using a Dynamic Reinforcement Function Based on Action Selection Probability The IEICE transactions on information and systems J89-D 788 796 Apr. 2006  Refereed 
28A simple nonautonomous chaotic spiking circuit with a refractory threshold IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E88A 2464 2467 Sep. 2005 https://doi.org/10.1093/ietfec/e88-a.9.24641Refereed 
29Hyperchaotic Spiking Oscillators With Periodic Pulse-Train Input IEEE Transactions on Circuits and Systems II: Express Briefs 52 344 348 Jun. 5, 2005 https://doi.org/10.1109/TCSII.2005.8490021Refereed 
30Hyperchaotic spiking oscillators with periodic pulse-train input IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 52 344 348 Jun. 2005 https://doi.org/10.1109/TCSII.2005.8490021Refereed 
31A simple hyperchaos generator based on impulsive switching IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 51 468 472 Sep. 2004 https://doi.org/10.1109/TCSII.2004.8327781Refereed 
32Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators IEEE TRANSACTIONS ON NEURAL NETWORKS 15 1018 1026 Sep. 2004 https://doi.org/10.1109/TNN.2004.8328071Refereed 
33A Simple Hyperchaos Generator Based on Impulsive Switching IEEE Transactions on Circuits and Systems II: Express Briefs 51 468 472 2004 https://doi.org/10.1109/TCSII.2004.8327781Refereed 
34Response of a Simple Dependent Switched Capacitor Circuit to a Pulse-Train Input IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 50 1180 1187 Sep. 2003 https://doi.org/10.1109/TCSI.2003.8163351Refereed 
35Response of a simple dependent switched capacitor circuit to a pulse-train input IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 50 1180 1187 Sep. 2003 https://doi.org/10.1109/TCSI.2003.8163351Refereed 
36Analysis of responses of three-dimensional spiking oscillators to pulse-train input WSEAS Transastions on Mathematics 290 294 Sep. 2003  Refereed 
37Basic dynamics from a pulse-coupled network of autonomous integrate-and-fire chaotic circuits IEEE TRANSACTIONS ON NEURAL NETWORKS 13 92 100 Jan. 2002 https://doi.org/10.1109/72.9772761Refereed 
38Basic dynamics from an integrate-and-fire chaotic circuit with a periodic input IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E84A 1293 1300 May. 2001  Refereed 
39Synchronization from pulse-coupled integrate-and-fire chaotic oscillators IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E83A 895 900 May. 2000  Refereed 

 

MISC  
No.TitleJournalVolNoStart PageEnd PagePublication date
1Analysis of Reference Frame Invariance for Piecewise-linear Particle Swarm Optimizer Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018) 1185 1190 Oct. 2018 
2A Study on Dynamic Grouping Schemes in Co-evolutional Particle Swarm Optimizers 117 173 43 46 Aug. 10, 2017 
3A Flooding Scheme in Wireless Sensor Networks Using Integer-Valued Neuron Models 117 173 37 41 Aug. 10, 2017 
4A Study on Two-Dimensional Cellular Automaton Rules for Encryption 117 121 35 39 Jul. 13, 2017 
5Multi-objective Particle Swarm Optimizer Networks with Tree Topology 117 121 103 106 Jul. 13, 2017 
6A Complex-Valued Reinforcement Learning Method Using Complex-Valued Neural Networks 117 112 Jun. 29, 2017 
7Consideration on Functions for Quantization in Quantized Neural Networks 117 112 10 Jun. 29, 2017 
8An optimization method for flooding in wireless networks 117 68 75 78 May. 29, 2017 
9A particle swarm optimizer with two rotation modes 116 215 97 100 Sep. 14, 2016 
10Performance evaluation of a routing algorithm in MANET based on multi-agent learning 116 202 83 86 Aug. 29, 2016 
11An Artificial Bee Colony Algorithm Suited for Parallel Distributed Processing 116 151 33 38 Jul. 21, 2016 
12Implementation of parallel particle swarm optimizers on PC cluster 116 63 63 66 May. 26, 2016 
13Implementation of a specific processor for particle swarm optimizer networks 115 515 47 51 Mar. 24, 2016 
14Investigation on coupling parameters in deterministic PSO networks 115 425 57 62 Jan. 28, 2016 
15Design of dynamic reinforcement functions based on action history in profit sharing reinforcement learning 115 240 Oct. 5, 2015 
16Design of dynamic reinforcement functions based on action history in profit sharing reinforcement learning 115 239 Oct. 5, 2015 
17Real-time recognition for vehicle environments using neural networks 115 150 Jul. 21, 2015 
18A Hierarchical Routing Scheme Based on Address Information in MANET 115 78 67 71 Jun. 11, 2015 
19An Adaptive Learning Method Based on Distance to Nodes in Self-Organizing Incremental Neural Networks 115 78 12 Jun. 11, 2015 
20Basic Performances of Deterministic PSO Networks 115 34 61 66 May. 18, 2015 
21An Automatic Adjustment Method for Parameters in Deep Learning 115 34 39 43 May. 18, 2015 
22Design of a Processing Unit for Particle Swarm Optimizers 115 14 127 131 Apr. 23, 2015 
23Real-time contour extraction for moving objects directly operating MPEG encoded data Technical report of IEICE. VLD 114 426 239 244 Jan. 29, 2015 
24Relaxing constraint conditions in parallelizing compiler based on polyhedral model Technical report of IEICE. VLD 114 426 187 192 Jan. 29, 2015 
25A flooding scheme considering battery level in wireless sensor networks using chaotic neural networks IEICE technical report. Nonlinear problems 114 414 12 Jan. 26, 2015 
26Finding plural solutions in high dimensional optimization problems using PSO with temporal couplings IEICE technical report. Nonlinear problems 114 414 Jan. 26, 2015 
27Real-time contour extraction for moving objects directly operating MPEG encoded data 2015 42 Jan. 22, 2015 
28Relaxing constraint conditions in parallelizing compiler based on polyhedral model 2015 33 Jan. 22, 2015 
29On random numbers used in discritization of position information in discrete PSOs IEICE technical report. Nonlinear problems 114 348 35 40 Dec. 3, 2014 
30An artificial bee colony optimization algorithm for solving maximum power point tracking problems IEICE technical report. Nonlinear problems 114 348 63 68 Dec. 3, 2014 
31A Management Scheme for Pipeline Stage Unification Based on Frequency of Use for Functional Units IEICE technical report. Computer systems 114 302 37 42 Nov. 13, 2014 
32Analysis of characteristics for a scale parameter in artificial bee colony algorithms IEICE technical report. Nonlinear problems 114 288 Nov. 6, 2014 
33A path finding method by a true slime mold model considering load balancing IEICE technical report. Nonlinear problems 114 250 63 68 Oct. 16, 2014 
34An artificial bee colony algorithm introducing relative evaluation and multi-dimensional update IEICE technical report. Nonlinear problems 114 145 27 32 Jul. 21, 2014 
35Solving dynamic optimization problems using an artificial bee colony with a memory scheme IEICE technical report. Nonlinear problems 114 113 47 52 Jun. 30, 2014 
36Solving Performances of PSO Networks with Stochastic Couplings IEICE technical report. Nonlinear problems 114 55 51 56 May. 26, 2014 
37Solving Large Scale Optimization Problems Using Neural Networks and Evolutionary Computation The Brain & neural networks Vol.XX No.XX XX-XX 2014 
38A virtual output queuing on-chip router with dynamical control schemes for buffers IPSJ SIG Technical Report 2014-ARC-209 No.10 2014 
39Associativity-Variable Cache Using Victim Cache with Access Limitations IPSJ SIG Technical Report 2014-ARC-208 No.9 2014 
40A profit sharing reinforcement learning method using hierarchical reward propagation function based on action history IEICE Technical Report Vol.113 No.500 293 298 2014 
41Basic performances of PSO networks IEICE Technical Report Vol.113 No.486 91 96 2014 
42A profit sharing reinforcement learning method using hierarchical reward propagation function based on action history IEICE technical report. Neurocomputing Vol.113 No.500 293 298 2014 
43An optimization method for router allocations in ZigBee sensor networks IEICE Technical Report Vol.113 No.486 73 77 2014 
44A learning method for dynamic binary neural networks using a particle swarm optimizer IEICE Technical Report Vol.113 No.500 145 149 2014 
45G-013 A Learning Method for Dynamic Binary Neural Networks Using a Discrete PSO 12 423 424 Aug. 20, 2013 
46I-011 Fast Edge Detection for Moving Objects from MPEG Video Stream 12 245 246 Aug. 20, 2013 
47A-025 A Reduction Method of Data Transfer Instructions in Register Allocation 12 199 200 Aug. 20, 2013 
48A router assignment scheme in cluster-tree ZigBee networks using a discrete PSO IEICE Technical Report Vol.113 No.116 21 24 2013 
49A Power Optimization Method in Large-Scale Wireless Sensor Networks Using a Two-Stage Meta-Heuristic Algorithm Vol.1 xx-xx (to appear) 2013 
50An Artificial Bee Colony Algorithm for Solving Dynamic Optimization Problems 2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) Vol.1 2398 2405 2013 
51Basic performances in a discrete PSO with an intermittent refractoriness IEICE Technical Report Vol.113 No.116 15 19 2013 
52An Artificial Bee Colony Algorithm for Solving Dynamic Optimization Problems 2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) Vol.1 2398 2405 2013 
53A Design Method for Effective Cluster-Tree Zigbee Wireless Sensor Networks Using PSO Vol.1 xx-xx (to appear) 2013 
54A Partial Update PSO for High-Dimensional Optimization Problems IEICE Technical Report Vol.113 No.116 2013 
55An Efficient Flooding Scheme in Large-scale Wireless Sensor Networks Using Two-stage Optimization IEICE Technical Report Vol.113 No.69 65 70 2013 
56An Improved Artificial Bee Colony Optimizer for Dynamic Optimization Problems IEICE Technical Report Vol.113 No.69 59 64 2013 
57C-017 Automatic Generation of Multiprocessor Systems Considered Resource Constraint 11 301 302 Sep. 4, 2012 
58A-033 A Structure Learning Method of Dynamic Bayesian Networks Using an Artificial Bee Colony Optimizer 11 139 140 Sep. 4, 2012 
59A-034 A Diffusion Particle Swarm Optimizer for Continuous Solution Search 11 141 142 Sep. 4, 2012 
60C-008 Design of a Processor System Suited for H.264 Video Processing 11 281 282 Sep. 4, 2012 
61C-029 Design of a Hough Transformation Circuit Using Dynamic Reconfigurable Technology 11 329 330 Sep. 4, 2012 
62A Data Gathering Scheme in Wireless Sensor Networks Using a Spiking Neural Network with Simple Local Information NEURAL INFORMATION PROCESSING, ICONIP 2012, PT IV 7666 305 312 2012 
63An Tabu Artificial Bee Colony Algorithm for Effective Forwarding Power Adjustment in Wireless Sensor Networks IPSJ SIG Technical Report Vol.2012-MPS-90 No.27 2012 
64A routing algorithm for mobile ad hoc networks based on multi-agent learning IEICE Technical Report Vol.112 No.227 97 101 2012 
65Basic Performances of a Particle Swarm Optimizer with a Negative Inertia Term IPSJ SIG Technical Report Vol.2012-MPS-90 No.29 2012 
66A data gathering scheme in wireless sensor networks using a spiking neural network with local information IEICE Technical Report Vol.112 No.227 103 107 2012 
67A Data Gathering Scheme in Wireless Sensor Networks Using a Spiking Neural Network with Simple Local Information NEURAL INFORMATION PROCESSING, ICONIP 2012, PT IV 7666 305 312 2012 
68A distributed particle swarm optimizer with a tree network topology for multi-objective optimization problems Vol.1 158 161 2012 
69A data gathering scheme in wirelesssensor networks using discrete vibrate-and-fire neurons IEICE Technical Report Vol.111 No.483 99 103 2012 
70A Tabu Artificial Bee Colony Algorithm for Effective Forwarding Power Adjustment in Wireless Sensor Networks Vol.1 227 230 2012 
71A Hierarchical Particle Swarm Optimizer for Multi-object Optimization Problems IPSJ SIG Technical Report Vol.2012-MPS-90 No.28 2012 
72A dynamic path finding method using reward distribution agents IEICE Technical Report Vol.111 No.276 125 128 2011 
73An Effcient Flooding Scheme in Wireless Sensor Networks Using Competitive PSO Vol.1 503 506 2011 
74An ant colony optimization algorithm based on a memory of plural acceptable solutions and exchange operators IEICE Technical Report Vol.111 No.276 121 124 2011 
75Evaluation of a Competitive Particle Swarm Optimizer in Multimodal Functions with Complexity Vol.1 707 710 2011 
76Evaluation for a forwarding node selection method in wireless sensor networks based on a competitive particle swarm optimizer IEICE Technical Report Vol.111 No.276 115 120 2011 
77Discrete PSO with refractoriness for Finding Plural Acceptable Solutions Vol.1 499 502 2011 
78An effective allocation method of ZigBee sensor nodes using a discrete particle swarm optimizer PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11) Vol.1 711 714 2011 
79An effective allocation method of ZigBee sensor nodes using a discrete particle swarm optimizer PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11) Vol.1 711 714 2011 
80Synchronization in a discrete vibrate-and-fire neural network Vol.1 378 381 2011 
81Evaluation of a competitive particle swarm optimizer in multimodal functions with complexity PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11) Vol.1 707 710 2011 
82D-8-9 Efficient Multi-Agent Reinforcement Learning With Partial State Recognition and High-Dimentional Approach Proceedings of the IEICE General Conference 2010 82 82 Mar. 2, 2010 
83D-8-10 Identification of Rule Table in Cellular Automata Using Reinforcement Learning Proceedings of the IEICE General Conference 2010 83 83 Mar. 2, 2010 
84An effective sink node allocation scheme for long-term operation of Wireless Sensor Networks using adaptive suppression PSO ICUFN 2010 - 2nd International Conference on Ubiquitous and Future Networks Vol. 1 92 97 2010 
85The Profit Sharing strengthening learning method using the dynamic strengthening function based on an action history IEICE Technical Report Vol.110 No.335 103 108 2010 
86A Data Gathering Scheme in Wireless Sensor Networks Based on Synchronization of Chaotic Spiking Oscillator Networks INTERNATIONAL CONFERENCE ON APPLICATIONS IN NONLINEAR DYNAMICS (ICAND 2010) 1339 56 66 2010 
87The Profit Sharing strengthening learning method using the dynamic strengthening function based on an action history IEICE technical report Vol.110 No.335 103 108 2010 
88A Competitive PSO Based on Evaluation with Priority for Finding Plural Solutions 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) Vol. 1 102 107 2010 
89Prolonging lifetime of multiple-sink wireless sensor networks using chaos-based data gathering scheme ICUFN 2010 - 2nd International Conference on Ubiquitous and Future Networks Vol. 1 12 16 2010 
90A relay sensor node selection scheme in wireless sensor networks using a chaotic neural network Vol. 1 390 393 2010 
91Detecting Multiple Forwarding Node Sets for Query Dissemination in Wireless Sensor Networks Using Chaotic Neural Networks Vol.1 503 506 2010 
92A Competitive PSO Based on Evaluation with Priority for Finding Plural Solutions 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) Vol. 1 102 107 2010 
93Autonomous Composition of State Space Based on Action History Table in Reinforcement Learning IEICE Technical Report Vol.109 No.458 149 154 2010 
94Multipurpose distributed genetic algorithm having a hierarchy topology based on objective functions IPSJ SIG Technical Report Vol.2010-MPS-77 No.7 2010 
95Prolonging lifetime of multiple-sink wireless sensor networks using chaos-based data gathering scheme ICUFN 2010 - 2nd International Conference on Ubiquitous and Future Networks Vol. 1 12 16 2010 
96A Parallel Distributed Structure Learning Method of Dynamic Bayesian Networks Using Discrete Particle Swarm Optimization IEICE Technical Report Vol.110 No.335 109 113 2010 
97A Data Gathering Scheme in Wireless Sensor Networks Based on Synchronization of Chaotic Spiking Oscillator Networks Vol.1 56 66 2010 
98Solving a sink node allocation problem in wireless sensor networks using a competitive particle swarm optimization Vol. 1 394 397 2010 
99An effective sink node allocation scheme for long-term operation of Wireless Sensor Networks using adaptive suppression PSO ICUFN 2010 - 2nd International Conference on Ubiquitous and Future Networks Vol. 1 92 97 2010 
100Investigation of thread grain size suitaeal for a Multi-processor with a value predictor IPSJ SIG Technical Report Vol.2010-ARC-188 No.7 2010 
101A-3-8 On thread allocation method suited for a multithreading processor with a value predictor Proceedings of the Society Conference of IEICE 2009 57 57 Sep. 1, 2009 
102A-2-15 Multi-Objective Genetic Algorithm with a Tree Structure Proceedings of the Society Conference of IEICE 2009 41 41 Sep. 1, 2009 
103A Searching Method of Plural Dynamic Bayesian Networks Structures Using an Evolutionary Algorithm IEICE technical report Vol.109 No.354 33 36 2009 
104Solving Relay Dedicated Node Assignment Problem in Wireless Sensor Networks Using PSO with Suppression IEICE Technical Report Vol.108 No.383 2009 
105A competitive PSO based on evaluation with priority for finding plural solutions IEICE Technical Report Vol.109 No.125 83 86 2009 
106An Effcient Flooding Scheme Using Chaotic Neural Networks in Wireless Sensor Networks Vol. 1 523 526 2009 
107Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using Suppression PSO Vol. 1 316 319 2009 
108Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using Suppression PSO IEICE Technical Report Vol.109 No.124 67 71 2009 
109A detection method to a dynamical system change in time series prediction using an ART IEICE Technical Report Vol.109 No.167 53 57 2009 
110An Effcient Flooding Scheme Using Chaotic Neural Networks in Wireless Sensor Networks IEICE Technical Report Vol.109 No.124 73 76 2009 
111Synchronization in Chaotic Pulse-Coupled Neural Networks and its Application toWireless Sensor Network Vol. 1 499 502 2009 
112Improving Wireless Sensor Network Lifetime Using Oscillator Networks and Optimization Algorithms Vol. 1 50 51 2009 
113Speeding up multi-agent reinforcement learning using a ring-type state recognition method IEICE Technical Report Vol.109 No.125 87 91 2009 
114Synthesis of Desired Space-time Patterns based-on Reinforce Learning IEICE Technical Report Vol.109 No.354 43 47 2009 
115A Searching Method of Plural Dynamic Bayesian Networks Structures Using an Evolutionary Algorithm IEICE Technical Report Vol.109 No.354 33 36 2009 
116Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using SPSO IEICE technical report Vol. 1 124 316 319 2009 
117A visualization method of a node distribution in MANET and its application 70 27 28 Mar. 13, 2008 
118A synchronous gathering scheme using chaotic pulse-coupled neural networks and its evaluation 70 63 64 Mar. 13, 2008 
119A Learning Algorithm of Binary Neural Networks Based on Real-Coded GA IEICE Technical Report Vol.108 No.101 75 78 2008 
120Synchronization-Based Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks in Wireless Sensor Networks 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 Vol. 1 1115 1121 2008 
121Chaos Synchronization-Based Data Gathering Scheme in Wireless Sensor Networks with Multiple Sinks Vol. 1 1977 1982 2008 
122A learning algorithm of binary neural networks based on real-coded GA Vol. 1 700 703 2008 
123GA-based geometrical learning of binary neural networks and its generalization capability IEICE Technical Report Vol.108 No.101 79 84 2008 
124Grouping of mobile nodes in MANET using an ART network Vol. 1 644 647 2008 
125A profit sharing reinforcement learning method using a memory-based dynamic reinforcement function Vol. 1 273 276 2008 
126Synchronization-based data gathering scheme using chaotic pulse-coupled neural networks in wireless sensor networks Proceedings of the International Joint Conference on Neural Networks Vol. 1 1115 1121 2008 
127D-18-1 On implementation of GALS Systems on FPGA Proceedings of the IEICE General Conference 2007 187 187 Mar. 7, 2007 
128D-6-4 Design of the specialized processor for MPEG image processing : Accelerating by hardware table Proceedings of the IEICE General Conference 2007 61 61 Mar. 7, 2007 
129D-6-3 Proposal on multiprocessor suited for automatic synthesis and its multithread compiler Proceedings of the IEICE General Conference 2007 60 60 Mar. 7, 2007 
130Analysis of generalization capability on GA based learning of BNNs IEICE Technical Report Vol.106 No.590 55 59 2007 
131D-6-5 Designing of Value Predictor for Multi-Threaded Processors Proceedings of the IEICE General Conference 62 62 2007 
132Design of Dynamic Reinforcement Functions in Profit Sharing Reinforcement Learning IEICE Technical Report Vol.106 No.574 2007 
133A learning algorithm of multi-bit Binary Neural Networks and its application to recognition systems IEICE Technical Report Vol.106 No.590 143 148 2007 
134Synchronization scheme for data gathering using chaotic pulse coupled neural networks IEICE Technical Report Vol.107 No.266 15 20 2007 
135Visualization of a node distribution in MANET using ART networks IEICE Technical Report Vol.107 No.266 43 48 2007 
136Design of an application specific processor for MPEG image processing CDROM 2007 
137Speeding up reinforcement learning by autonomous construction of state space IEICE Technical Report Vol.105 No.676 13 17 2006 
138A Reinforcement Learning Method Using a Dynamic Reinforcement Function Based on Action Selection Probability IEICE Transactions on Information and Systems Vol. J89-D No. 4 788 796 2006 
139Development of a specified processor suited for GA-based learning to binary neural networks IEICE Technical Report Vol.105 No.675 47 52 2006 
140Parallel distributed profit sharing for PC cluster ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1 4131 811 819 2006 
141A Study on Problem Dependency of GA-based Learning to Binary Neural Networks IEICE Technical Report Vol.105 No.675 41 45 2006 
142Parallel distributed profit sharing for PC cluster ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1 4131 811 819 2006 
143D-6-8 Construction of experimental environment for real-time operating system education on a COMET-II compatible processor Proceedings of the IEICE General Conference 2005 56 56 Mar. 7, 2005 
144D-2-2 Study on GA Learning Method of Binary Neural Network Proceedings of the IEICE General Conference 2005 14 14 Mar. 7, 2005 
145D-6-5 DESIGN OF THE SPACIALIZED PROCESSOR FOR MPEG IMAGE PROCESSING : Parameter Extracting Instruction Proceedings of the IEICE General Conference 2005 53 53 Mar. 7, 2005 
146Analysis for Characteristics of GA-based Learning to Binary Neural Networks IEICE Technical Report Vol.105 No.125 31 35 2005 
147An efficient reinforcement learning method for dynamic environments using short term adjustment Vol. 1 250 253 2005 
148Analysis for characteristics of GA-based learning method of binary neural networks ARTIFICIAL NEURAL NETWORKS: BIOLOGICAL INSPIRATIONS - ICANN 2005, PT 1, PROCEEDINGS 3696 323 329 2005 
149Analysis for characteristics of GA-based learning method of binary neural networks ARTIFICIAL NEURAL NETWORKS: BIOLOGICAL INSPIRATIONS - ICANN 2005, PT 1, PROCEEDINGS 3696 323 329 2005 
150D-6-3 Value Prediction regarding Size of Value History Table : A Number of Value-Predictable Instructions Proceedings of the IEICE General Conference 51 51 51 2005 
151Dividing State Space Based on Structure of Environment in Reinforcement Learning Vol. 1 612 615 2004 
152Analysis of synchronous time in chaotic pulse-coupled networks NEURAL INFORMATION PROCESSING 3316 1117 1122 2004 
153Analysis and Implementation of Simple Piecewise Constant Spiking Chaotic Oscillators IEICE Technical Report Vol.103 No.566 29 33 2004 
154Chaos and synchronizaton of a spiking oscillator to pulse-train input IEICE Technical Report Vol.103 No.740 13 16 2004 
155Analysis of synchronous time in chaotic pulse-coupled networks NEURAL INFORMATION PROCESSING 3316 1117 1122 2004 
156Reinforcement Learning Method Considered Dynamic Environment Vol. 1 83 86 2004 
157Synchronous speed analysis of chaotic pulse-coupled networks Proceedings of the Society Conference of IEICE 2003 37 37 Sep. 10, 2003 
158Implementation of chaos game representation using switched capacitors Proceedings of the Society Conference of IEICE 2003 47 47 Sep. 10, 2003 
159Synchronization of a neighborhood-coupled chaotic spiking oscillator network Proceedings of the IEICE General Conference 2003 49 49 Mar. 3, 2003 
160Bifurcation of an integrate-and-fire type hyperchaos generator having pulse-train input IEICE Technical Report Vol.103 No.463 13 18 2003 
161A hyperchaotic circuit family including a dependent switched capacitor PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III Vol. III 72 75 2003 
162Response of Resonate-and-Fire Chaotic Neuron Circuits to Irregular Pulse-Train Inputs IEICE Technical Report Vol.103 No.37 53 58 2003 
163A chaotic spiking oscillator with non-periodic input Vol. 1 221 224 2003 
164A simple nonautonomous chaotic circuit with a periodic pulse-train input PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III Vol. III 108 111 2003 
165Response charactreristics of a spiking circuit with refractory IEICE Technical Report Vol.103 No.375 31 34 2003 
166Bifurcation of chaotic spiking oscillators Vol. 1 125 128 2003 
167Digital-to-analog converters based on chaos game and switched-capacitors IEICE Technical Report Vol.103 No.463 31 34 2003 
168Classification functions of chaotic pulse-coupled networks Vol. II 418 421 2003 
169Bifurcation phenomena of resonate-and-fire chaotic neuron circuits IEICE Technical Report Vol.102 No.725 25 28 2003 
170Response of a simple four-dimensional spiking oscillator to pulse-train input IEICE Technical Report Vol.103 No.186 47 52 2003 
171A Piecewise Constant Chaotic Spiking Oscillator Proceedings of the Society Conference of IEICE 36 36 2003 
172Chaotic circuits based on dependent switched capacitors EXPERIMENTAL CHAOS 676 14 2003 
173A chaotic spiking oscillator with nonperiodic input Proc. NDES, 2003 Vol. 1 221 224 2003 
174A simple nonautonomous chaotic circuit with a periodic pulse-train input PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III Vol. III 108 111 2003 
175A hyperchaotic circuit family including a dependent switched capacitor PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III Vol. III 72 75 2003 
176Response of 3-Dimensional Spiking Oscillator to Pulse-train Input IEICE Technical Report Vol.102 No.626 19 23 2003 
177RLC fire circuit with pulse-train input Proceedings of the Society Conference of IEICE 2002 50 50 Aug. 20, 2002 
178Responce of RLC Firing Circuit to pulse-train input Proceedings of the IEICE General Conference 2002 65 65 Mar. 7, 2002 
179Master-slave synchronization of chaotic spiking oscillators Proceedings of the IEICE General Conference 2002 49 49 Mar. 7, 2002 
180Bifurcation of a four-dimensional chaotic spiking oscillator IEICE Technical Report Vol.102 No.297 31 36 2002 
181Master-slave synchronization of pulse-coupled chaotic spiking oscillators PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 Vol. 1 2592 2597 2002 
182Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING CDROM 363 366 2002 
183Response characteristics of a chaotic spiking oscillator PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 Vol. 1 2726 2731 2002 
184A four-dimensional hyperchaotic spiking neuron ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING CDROM 358 362 2002 
185Synchronous phenomena of Chaotic Spiking Oscillators IEICE technical report. Neurocomputing Vol.101 No.616 183 189 2002 
186A four-dimensional chaotic spiking oscillator Vol. 1 1992 1995 2002 
187A four-dimensional hyperchaotic spiking neuron ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING CDROM 358 362 2002 
188Master-slave synchronization of pulse-coupled chaotic spiking oscillators PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 Vol. 1 2592 2597 2002 
189Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age 363 366 2002 
190A four-dimensional chaotic spiking oscillator IEICE Technical Report Vol.101 No.724 17 23 2002 
191Response characteristics of a chaotic spiking oscillator PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 Vol. 1 2726 2731 2002 
192Synchronization in a pulse-coupled network of chaotic spiking oscillators Vol. I 192 195 2002 
193Chaotic circuits based on dependent switched capacitors Vol. 1 14 2002 
194Local Synchronization of Chaotic Pulse-Coupled Network IEICE Technical Report Vol.102 No.430 85 90 2002 
195Synchronous phenomena of Chaotic Spiking Oscillators IEICE Technical Report Vol.101 No.616 183 189 2002 
196A chaotic spiking oscillator with a pulse-train input Vol. 1 889 892 2002 
197Synchronization in a pulse-coupled network of chaotic spiking oscillators Proc. of MWSCAS Vol. I 192 195 2002 
198On Synthesis of Chaotic Spiking Oscillators Proceedings of the Society Conference of IEICE 2001 44 44 Aug. 29, 2001 
199Analysis of synchronous phenomena in a chaotic spiking oscillator with a periodic pulse-train input IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS Vol. 1 623 628 2001 
200Analysis of synchronous phenomena in a chaotic spiking oscillator with a periodic pulse-train input IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS Vol. 1 623 628 2001 
201On implementation of a spiking neuron circuit suited for integration IEICE Technical Report Vol.100 No.688 169 174 2001 
202A transistorized circuit of a chaotic spiking oscillator IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS Vol. 1 665 669 2001 
203On Coupled System of Chaotic Spiking Oscillators IEICE Technical Report Vol.101 No.465 55 60 2001 
204Synchronization of simple pulse-coupled chaotic oscillators Vol. 1 75 78 2001 
205A transistorized circuit of a chaotic spiking oscillator IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS Vol. 1 665 669 2001 
206On implementation of a pacemaker neuron type integrate-and-fire circuit Proceedings of the Society Conference of IEICE 2000 14 14 Sep. 7, 2000 
207Basic dynamics from a pulse-coupled network of autonomous integrate-and-fire chaotic circuits Vol. V 45 49 2000 
208Basic dynamics from a pulse-coupled network of autonomous integrate-and-fire chaotic circuits IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL V Vol. V 45 49 2000 
209On pulse-coupled autonomous integrate-and-fire chaotic circuits IEICE Technical Report Vol.99 No.685 201 205 2000 
210Bifurcation from pacemaker neuron type integrate-and-fire chaotic circuits Vol. 1 178 183 2000 
211Bifurcation Phenomena from An Intergrate-and-fire model and Its Coupled System IEICE Technical Report Vol.99 No.42 13 1999 
212Autonomous integrate-and-fire model with vibration Vol. 1 721 724 1999 
213Synchronization Phenomena from Pulse Coupled Integrate-and-fire models IEICE Technical Report Vol.98 No.577 63 67 1999 
214Various impulsive synchronous patterns from mutually coupled ISC chaotic oscillators ISCAS '99: PROCEEDINGS OF THE 1999 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 5 Vol. V 475 478 1999 
215Autonomous integrate-and-fire model with vibration Proc. of IJCNN, Washington, DC, 1999 Vol. 1 721 724 1999 
216Various impulsive synchronous patterns from mutually coupled ISC chaotic oscillators ISCAS '99: PROCEEDINGS OF THE 1999 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 5 Vol. V 475 478 1999 
217Bifurcate Phenomena form an Extended ISC Chaotic Oscillator Proceedings of the Society Conference of IEICE 1998 36 36 Sep. 7, 1998 

 

Conference Activities & Talks  
No.TitleConferencePublication datePromoterVenue
1An efficient operation of wireless sensor networks using chaos and neural networks AIJ Symp. 2011 

 

Awards & Honors  
No.Publication dateAssociationPrizeSubtitle
1Aug. 2019 IEICE Service Award 

 

Research Grants & Projects  
No.Offer organizationSystem nameTitleFund classificationDate
1Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Dynamics analysis of attractors of large-scale dynamical systems and their relationship with the emergence of swarm intelligence  Apr. 2020 - Mar. 2023 
2Research on Efficient Optimization Algorithms competitive_research_funding  2007 - NOW 
3Research on Prolonging Lifetime of Wireless Sensor Networks competitive_research_funding  2007 - NOW 
4Research on Efficient Multi-Agent Reinforcement Learning competitive_research_funding  2004 - NOW 
5Research on Learning algorithms and its hardware implementation of neural networks competitive_research_funding  2004 - NOW