Journal Paper List

 

  1. Tsukumo Fujita, Aohan Li, Quang Vinh Do, Teppei Otsuka, Seon-Geun Jeong, Won-Joo Hwang, Hiroki Takesue, Kensuke Inaba, Kazuyuki Aihara, Mikio Hasegawa, “Applying Coherent Ising Machines for Enhancing Communication Efficiency in Large-Scale UAV-Aided Networks,” IEEE Access, Aug. 2024. (https://doi.org/10.1109/ACCESS.2024.3450539 )
  2. Kenji Leibnitz, Ferdinand Peper, Mikio Hasegawa, Naoki Wakamiya, “Performance Evaluation of Asynchronous Pulse Code Multiple Access in Massive IoT Networks,” IEEE Access, July 2024. (https://doi.org/10.1109/ACCESS.2024.3430548 )
  3. Haruto Ando, Aohan Li, Maki Arai, Mikio Hasegawa, “Primary channel selection in dynamic channel bonding using laser chaos decision maker,” IEICE Communications Express, July 2024. (https://doi.org/10.23919/comex.2024COL0010 )
  4. Minoru Fujisawa, Hiroyuki Yasuda, Ryosuke Isogai, Maki Arai, Yoshifumi Yoshida, Aohan Li, Song-Ju Kim, Mikio Hasegawa, “An efficient beaconing of bluetooth low energy by decision making algorithm,” Discover Artificial Intelligence, vol. 4, article number 26, Apr. 2024. (https://doi.org/10.1007/s44163-024-00122-7 )
  5. Daisuke Yamamoto, So Hasegawa, Yozo Shoji, Mikio Hasegawa, “Game theory approach for autonomous mobility-assisted Piggyback network with mm-wave links,” IEICE Communications Express, vol. 13, pp. 118-121, Apr. 2024. (https://doi.org/10.23919/comex.2023XBL0180 )
  6. Teppei Otsuka, Aohan Li, Hiroki Takesue, Kensuke Inaba, Kazuyuki Aihara, Mikio Hasegawa, “High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems,” IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 73, no. 1, pp. 707-723, Jan. 2024. (https://doi.org/10.1109/TVT.2023.3300920 )
  7. Masaki Sugiyama, Takatomo Mihana, Aohan Li, Makoto Naruse, Mikio Hasegawa, “Ultrafast Resource Allocation by Parallel Bandit Architecture Using Chaotic Lasers for Downlink NOMA Systems,” IEEE Access, vol. 12, pp. 18073-18086, Jan. 2024. (https://doi.org/10.1109/ACCESS.2024.3358409 )
  8. Thien-Thanh Dao, Dae-Il Noh, Mikio Hasegawa, Hiroo Sekiya, Quoc-Viet Pham, Won-Joo Hwang, “VT-MCNet: High-Accuracy Automatic Modulation Classification Model based on Vision Transformer,” IEEE COMMUNICATIONS LETTERS, vol. 28, no.1, pp. 92-102, Jan. 2024. (https://doi.org/10.1109/LCOMM.2023.3336985 )
  9. Seon-Geun Jeong, Quang-Vinh Do, Hae-Ji Hwang, Mikio Hasegawa, Hiroo Sekiya, Won-Joo Hwang, “Hybrid Quantum Convolutional Neural Networks for UWB Signal Classification,” IEEE Access, vol. 11, pp. 113726-113739, Oct. 2023. (https://doi.org/10.1109/ACCESS.2023.3323019 )
  10. Ikumi Urabe, Aohan Li, Minoru Fujisawa, Song-Ju Kim, Mikio Hasegawa, “Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices,” SENSORS, vol. 2023, no. 23(15), 6687, July 2023. (https://doi.org/10.3390/s23156687 )
  11. Takuma Osada, Hiroyuki Yasuda, Mikio Hasegawa, “Performance Demonstration of Decentralized TDMA Based on Desynchronization of Nonlinear Oscillators with Different Coupling Schemes,” Journal of Signal Processing, vol. 27, no. 4, pp. 115-119, July 2023. (https://doi.org/10.2299/jsp.27.115 )
  12. Keigo Makizoe, Atsuhiro Yumoto, Koji Oshima, Kenji Suzuki, Mikio Hasegawa, “Applying reinforcement learning algorithms to ground station selection in satellite-terrestrial optical communication,” Nonlinear Theory and Its Applications, IEICE, vol. 14, no. 2, pp. 403-415, Apr. 2023. (https://doi.org/10.1587/nolta.14.403 )
  13. Taichi Tsuru, Mikio Hasegawa, Yozo Shoji, Kien Nguyen, Hiroo Sekiya, “An implementation and evaluation of MPTCP-based IoT router,” MULTIMEDIA TOOLS AND APPLICATIONS, vol. 82, pp. 28389-28404, Mar. 2023. (https://doi.org/10.1007/s11042-023-14781-8 )
  14. Atsushi Nakamura, Kentaro Honda, Ferdinand Peper, Kenji Leibnitz, Naoki Wakamiya, Mikio Hasegawa, “Performance evaluation of CSS-APCMA for massive IoT using GNU Radio/USRP,” IEICE Communications Express, Jan. vol. 12, no. 4, pp. 120-125, Apr. 2023. (https://doi.org/10.1587/comex.2022XBL0193 )
  15. So Hasegawa, Kazuki Kuwata, Aohan Li, Yoshito Watanabe, Yozo Shoji, Mikio Hasegawa, “UAV data delivery and routing optimization in Piggyback Network,” Nonlinear Theory and Its Applications, IEICE, vol. 14, no. 1, pp. 66-77, Jan. 2023. (https://doi.org/10.1587/nolta.14.66 )
  16. Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa and Makoto Naruse, “Pairing Optimization via Statistics: Algebraic Structure in Pairing Problems and Its Application to Performance Enhancement,” Entropy, vol. 2023, no. 25(1), 146, Jan. 2023. (https://doi.org/10.3390/e25010146 )
  17. DAE-IL NOH, SEON-GEUN JEONG, HUU-TRUNG HOANG, QUOC-VIET PHAM, THIEN HUYNH-THE, MIKIO HASEGAWA, HIROO SEKIYA, SUN-YOUNG KWON, SANG-HWA CHUNG, WON-JOO HWANG, “Signal Preprocessing Technique with Noise-Tolerant for RF-based UAV Signal Classification,” IEEE Access, Dec. 2022. (https://doi.org/10.1109/ACCESS.2022.3232036 )
  18. Norihiro Okada, Tomoki Yamagami, Nicolas Chauvet, Yusuke Ito, Mikio Hasegawa, Makoto Naruse, “Theory of Acceleration of Decision-Making by Correlated Time Sequences,” Complexity, vol 2022, 5205580, Aug. 2022. (https://doi.org/10.1155/2022/5205580 )
  19. So Hasegawa, Ryoma Kitagawa, Aohan Li, Song-Ju Kim, Yoshito Watanabe, Yozo Shoji and Mikio Hasegawa, “Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous Internet of Things Networks,” Applied Sciences, vol. 12, no. 15, 7424, July 2022. (https://doi.org/10.3390/app12157424 )
  20. DAISUKE YAMAMOTO, HONAMI FURUKAWA, AOHAN LI, YUSUKE ITO, KOYA SATO, KOJI OSHIMA, SO HASEGAWA, YOSHITO WATANABE, YOZO SHOJI, SONG-JU KIM, MIKIO HASEGAWA, “Performance Evaluation of Reinforcement Learning based Distributed Channel Selection Algorithm in Massive IoT Networks,” IEEE Access, vol. 10, pp. 67870 – 67882 , June 2022. (https://doi.org/10.1109/ACCESS.2022.3186703 )
  21. NAOKI FUJITA, NICOLAS CHAUVET, ANDRÉ RÖHM, RYOICHI HORISAKI, AOHAN LI, MIKIO HASEGAWA, and MAKOTO NARUSE, “Efficient Pairing in Unknown Environments: Minimal Observations and TSP-based Optimization,” IEEE Access, May 2022. (https://doi.org/10.1109/ACCESS.2022.3179113 )
  22. Masaki Sugiyama, Aohan Li, Zengchao Duan, Makoto Naruse, Mikio Hasegawa, “BER Minimization by User Pairing in Downlink NOMA Using Laser Chaos Decision-Maker,” Electronics, vol. 2022, no. 11, 1452, Apr. 2022. (https://doi.org/10.3390/electronics11091452 )
  23. Naoki Wakamiya, Kenji Leibnitz, Ferdinand Peper, Mikio Hasegawa, “Evaluation and optimization of asynchronous pulse code multiple access,” Nonlinear Theory and Its Applications, IEICE, vol. 13, no. 2, pp. 318-323, Apr. 2022. (https://doi.org/10.1587/nolta.13.318 )
  24. Yuki Horiguchi, Yusuke Ito, Aohan Li, Mikio Hasegawa, “A Localization Method Based on Partial Correlation Analysis for Dynamic Wireless Network,”IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E105-A, no. 3, pp. 594-597, 2022. (https://doi.org/10.1587/transfun.2021EAL2038 )
  25. Hiroshi Kanemasa, Aohan Li, Yusuke Ito, Nicolas Chauvet, Makoto Naruse, Mikio Hasegawa, “Dynamic Channel Bonding in WLANs by Hierarchical Laser Chaos Decision Maker,” Nonlinear Theory and Its Applications, IEICE, vol. E13-N, no. 1, pp. 84-100, Jan., 2022. (https://doi.org/10.1587/nolta.13.84 )
  26. Zengchao Duan, Aohan Li, Norihiro Okada, Yusuke Ito, Nicolas Chauvet, Makoto Naruse, Mikio Hasegawa, “User Pairing Using Laser Chaos Decision Maker for NOMA Systems,” Nonlinear Theory and Its Applications, IEICE, vol. E13-N, no. 1, pp.72-83, Jan., 2022. (https://doi.org/10.1587/nolta.13.72 )
  27. Mitsuhiko Shimomura, Nicolas Chauvet, Mikio Hasegawa, Makoto Naruse, “Experimental demonstration of channel order recognition in wireless communications by laser chaos time series and confidence intervals,” Nonlinear Theory and Its Applications, IEICE, vol. E13-N, no. 1, pp. 101-111, Jan. 2022. (https://doi.org/10.1587/nolta.13.101 )
  28. Koji Oshima, Daisuke Yamamoto, Atsuhiro Yumoto, Song-Ju Kim, Yusuke Ito, Mikio Hasegawa, “Online machine learning algorithms to optimize performances of complex wireless communication systems,” Mathematical Biosciences and Engineering, vol. 19, no. 2, pp. 2056-2094, Dec. 2021. (https://doi.org/10.3934/mbe.2022097 )
  29. Song-Ju Kim, Hiroyuki Yasuda, Ryoma Kitagawa, Mikio Hasegawa, “Resource allocation method using tug-of-war-based synchronization,” IEICE Communications Express, vol. 10, no. 12, pp. 1021-1025, Dec. 2021. (https://doi.org/10.1587/comex.2021XBL0165 )
  30. Chiemi Tanaka, Kentaro Honda, Aohan Li, Ferdinand Peper, Kenji Leibnitz, Konstantinos Theofilis, Naoki Wakamiya, Mikio Hasegawa, “Performance Evaluation of Pulse-Based Multiplexing Protocol Implemented on Massive IoT Devices,” Nonlinear Theory and Its Applications, vol. E12-N, no. 4, pp. 726-737, Oct. 2021. (https://doi.org/10.1587/nolta.12.726 )
  31. Komei Kurasawa, Kota Hashimoto, Aohan Li, Koya Sato, Kensuke Inaba, Hiroki Takesue, Kazuyuki Aihara, Mikio Hasegawa, “A High-Speed Channel Assignment Algorithm for Dense IEEE 802.11 Systems via Coherent Ising Machine”, IEEE Wireless Communications Letters, vol. 10, no. 8, pp. 1682-1686, Aug. 2021. (https://doi.org/10.1109/LWC.2021.3077311 )
  32. Ferdinand Peper, Kenji Leibnitz, Chiemi Tanaka, Kentaro Honda, Mikio Hasegawa, Konstantinos Theofilis, Aohan Li, Naoki Wakamiya, “High-Density Resource-Restricted Pulse-Based IoT Networks,” IEEE Transactions on Green Communications and Networking, vol. 5, no. 4, pp. 1856-1868, June 2021. (https://doi.org/10.1109/TGCN.2021.3090044 )
  33. Mikio Hasegawa, Hirotake Ito, Hiroki Takesue, Kazuyuki Aihara, “Optimization by Neural Networks in the Coherent Ising Machine and its Application to Wireless Communication Systems,” IEICE TRANSACTIONS ON COMMUNICATIONS, vol. 104.B, no. 3, pp. 210-216, Mar. 2021. (https://doi.org/10.1587/transcom.2020NVI0002 ) (Invited Paper)
  34. Takuma Onishi, Aohan Li, Song-Ju Kim, Mikio Hasegawa, “A Reinforcement Learning Based Collision Avoidance Mechanism to Superposed LoRa Signals in Distributed Massive IoT Systems,” IEICE Communications Express, vol. 10, no. 5, pp. 289-294, Mar. 2021. (https://doi.org/10.1587/comex.2021XBL0033 )
  35. Norihiro Okada, Mikio Hasegawa, Nicolas Chauvet, Aohan Li, and Makoto Naruse, “Analysis on Effectiveness of Surrogate Data-Based Laser Chaos Decision Maker,” Complexity, vol. 2021, no. 8877660, 9pages, Feb. 2021. (https://doi.org/10.1155/2021/8877660 )
  36. Naoki Narisawa, Nicolas Chauvet, Mikio Hasegawa, Makoto Naruse, “Arm order recognition in multi-armed bandit problem with laser chaos time series,” Scientific Reports, vol. 11, Article number: 4459, Feb. 2021. (https://doi.org/10.1038/s41598-021-83726-8 )
  37. Chiemi Tanaka, Ferdinand Peper, Mikio Hasegawa, “Application of APCMA protocol to power packet networks for multiplexing power packet transmissions,” Nonlinear Theory and Its Applications, vol. 11, no. 4, pp. 433-445, Oct. 2020. (https://doi.org/10.1587/nolta.11.433 )
  38. 長谷川幹雄, 伊藤大赳, 武居弘樹, 合原一幸, “コヒーレントイジングマシンを用いた組合せ最適化と無線通信への応用,” 電子情報通信学会　通信ソサイエティマガジン BPlus, vol. 54, 秋号, pp. 119-125, Sep. 2020.
  39. 成瀬　誠, Nicolas CHAUVET, 内田　淳史, 砂田　哲, 内山　和治, 長谷川幹雄, 堀　裕和, “光を用いた意思決定メカニズム,” 電子情報通信学会誌, vol. 103, no. 3, pp. 290-297, Mar. 2020.
  40. Shungo Takeuchi, Mikio Hasegawa, Kazutaka Kanno, Atsushi Uchida, Nicolas Chauvet, Makoto Naruse, “Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series,” Scientific Reports, vol. 10, Article number: 1574, Jan. 2020. (https://doi.org/10.1038/s41598-020-58541-2 )
  41. Koji Oshima, Takuma Onishi, Song-Ju Kim, Jing Ma, Mikio Hasegawa, “Efficient wireless network selection by using multi-armed bandit algorithm for mobile terminals,” Nonlinear Theory and Its Applications, vol. 11, no. 1, pp. 68-77, Jan. 2020. (https://doi.org/10.1587/nolta.11.68 )
  42. Toshiyuki Matsuda, Jing Ma, Mikio Hasegawa, “Design and implementation of a power packet network protocol for flexible power routing,” Nonlinear Theory and Its Applications, vol. 10, no. 4, pp. 455-464, Oct. 2019. (https://doi.org/10.1587/nolta.10.455 )
  43. Jing Ma, So Hasegawa, Song-Ju Kim and Mikio Hasegawa, “A Reinforcement-Learning-Based Distributed Resource Selection Algorithm for Massive IoT,” Applied Sciences, vol.9. no. 18, 3730, Sep. 2019. (https://doi.org/10.3390/app9183730 )
  44. Ferdinand Peper, Kenji Leibnitz, 長谷川幹雄, 若宮 直紀, “Spike-based Communication Networks with Error Correcting Capability,” 日本神経回路学会誌, vol. 25, no. 4, pp. 157-164, Dec. 2018. (https://doi.org/10.3902/jnns.25.157 )
  45. Makoto Naruse, Takatomo Mihana, Hirokazu Hori, Hayato Saigo, Kazuya Okamura, Mikio Hasegawa, Atsushi Uchida, “Scalable photonic reinforcement learning by time-division multiplexing of laser chaos,” Scientific Reports, vol. 8, Article number: 10890, July 2018. (https://doi.org/10.1038/s41598-018-29117-y )
  46. Koji Oshima, Takumu Kobayashi, Yuki Taenaka, Kaori Kuroda, Mikio Hasegawa, “Wireless Network Optimization Method based on Cognitive Cycle using Machine Learning,” IEICE Communications Express, vol. 7, no. 7, pp. 278-283, July 2018. ( https://doi.org/10.1587/comex.2018XBL0061 )
  47. Kaori Kuroda, Hiroki Kato, Song-Ju Kim, Makoto Naruse, Mikio Hasegawa, “Improving throughput using multi-armed bandit algorithm for wireless LANs,” Nonlinear Theory and Its Applications, vol. 9, no. 1, pp. 74-81, Jan. 2018. (https://doi.org/10.1587/nolta.9.74 )
  48. 長谷川幹雄, “量子ニューラルネットワークを用いた組合せ最適化及びその応用,” Fundamentals Review, vol. 11, no. 2, pp. 113-117, Oct. 2017.
  49. Ryo TAKAHASHI, Shun-ichi AZUMA, Mikio Hasegawa, Hiroyasu ANDO, and Takashi HIKIHARA, “Power Processing for Advanced Power Distribution and Control,” IEICE TRANSACTIONS ON COMMUNICATIONS, vol. E100-B, no. 6, pp. 941-947, Jun. 2017. (https://doi.org/10.1587/transcom.2016EBN0005 )
  50. Minh-Thuyen Thi, Thong Huynh, Mikio Hasegawa, Won-Joo Hwang, “A Rate Allocation Framework for Multi-Class Services in Software-Defined Networks,” Journal of Network and Systems Management, vol. 25, no. 1, pp. 1-20, Jan. 2017. (https://doi.org/10.1007/s10922-016-9368-x )
  51. Takumi Ito, Mikio Hasegawa and Takashi Nakajima, “Internet of Things for Buildings that Make Life Safe and Secure,”IEEE IoT Newsletter, Jan. 2017.
  52. Aunee Azrina Zulkifli, Thong Huynh, Kaori Kuroda, Mikio Hasegawa, “Interference Coordination for Device-to-Device (D2D) under Multi-channel of Cellular Networks,” Journal of Multimedia and Information System, vol. 3, no. 4, pp. 135-140, Dec. 2016. (https://doi.org/10.9717/JMIS.2016.3.4.135 )
  53. Mikio Hasegawa, “Improving Performance of Heuristic Algorithms by Lebesgue Spectrum Filter,” IEICE TRANSACTIONS ON COMMUNICATIONS, vol. E99-B, no. 11, pp. 2256-2262, Nov. 2016. (招待論文) (https://doi.org/10.1587/transcom.2016NEI0002 )
  54. Thong Huynh, Tomoyuki Onuma, Kaori Kuroda, Mikio Hasegawa, Won-Joo Hwang, “Joint Downlink and Uplink Interference Management for Device to Device Communication Underlaying Cellular Networks,” IEEE Access, vol. 4, pp. 4420-4430, Aug. 2016. (https://doi.org/10.1109/ACCESS.2016.2603149 )
  55. Hiroyuki Yasuda, Mikio Hasegawa, “Synchronization of Chaotic Oscillators Using Natural Environmental Noises,” Journal of Signal Processing, Vol. 20, No. 4, pp. 129-132, July 2016. (https://doi.org/10.2299/jsp.20.129 )
  56. Hiep Nguyen, Mikio Hasegawa, Won-Joo Hwang, “Distributed Resource Allocation for D2D Communications Underlay Cellular Networks,” IEEE Communications Letters, vol. 20, no. 5, pp. 942-945, May 2016. (https://doi.org/10.1109/LCOMM.2015.2498925 )
  57. Kyohei Shibano, Reo Kontani, Hiroshi Hirai, Mikio Hasegawa, Kazuyuki Aihara, Hisao Taoka, David McQuilkin, and Rikiya Abe, “A Linear Programming Formulation for Routing Asynchronous Power Systems of the Digital Grid,” EUROPEAN PHYSICAL JOURNAL – Special Topics, vol. 223, pp. 2611-2620, Sep. 2014. (https://doi.org/10.1140/epjst/e2014-02277-8 )
  58. Wataru Kurebayashi, Tsubasa Ishii, Mikio Hasegawa and Hiroya Nakao, “Design and control of noise-induced synchronization patterns,” EUROPHYSICS LETTERS (EPL), vol. 107, 10009, July 2014. (https://doi.org/10.1209/0295-5075/107/10009 )
  59. Hiroyuki Yasuda, Mikio Hasegawa, “A Study on Performance Improvement of Natural Synchronization Scheme Based on Noise-Induced Synchronization Theory,” Communications in Computer and Information Science, vol. 438, pp. 22-29, July 2014. (https://doi.org/10.1007/978-3-319-08672-9_4 )
  60. Mikio Hasegawa, Hiroshi Hirai, Kiyohito Nagano, Hiroshi Harada, Kazuyuki Aihara, “Optimization for Centralized and Decentralized Cognitive Radio Networks,” PROCEEDINGS OF THE IEEE, vol. 102, no. 4, pp. 574-584, Apr. 2014. (https://doi.org/10.1109/jproc.2014.2306255 ) (Invited Paper)
  61. Masahiro Kazama, Wataru Kurebayashi, Takahiro Tsuchida, Yuta Minoshima, Mikio Hasegawa, Koji Kimura, Hiroya Nakao, “Enhancement of noise correlation for noise-induced synchronization of limit-cycle oscillators by threshold filtering,”NONLINEAR THEORY AND ITS APPLICATIONS, vol. 5, no. 2, pp. 157-171, Apr. 2014. (https://doi.org/10.1587/nolta.5.157 )
  62. Kazuyuki Aihara, Mikio Hasegawa, “Optimization, Chaotic Neural Networks, and Coherent Ising Machines,” PROCEEDINGS OF THE IEEE, vol. 102, no. 4, pp. 585, Apr. 2014. (https://doi.org/10.1109/JPROC.2014.2308602 )
  63. Hiroyuki Yasuda, Mikio Hasegawa, “Natural Synchronization of Wireless Sensor Networks by Noise-Induced Phase Synchronization Phenomenon,” IEICE TRANSACTIONS ON COMMUNICATIONS, vol. E96-B, no. 11, pp. 2749-2755, Nov. 2013. (https://doi.org/10.1587/transcom.e96.b.2749 )　(Best Paper Award)
  64. Hisashi Watanabe, Yoshimasa Narumiya, Mikio Hasegawa, “Performance Evaluation of Chaotic CDMA using an Implemented System on Software Define Radio,” NONLINEAR THEORY AND ITS APPLICATIONS, vol. E4-N, no. 4, pp. 473—481, Oct. 2013. (https://doi.org/10.1587/nolta.4.473 )
  65. Tomohiro Kato, Hiroshi Kurita, Mikio Hasegawa, “Performance Analysis of Multi-armed Bandit Algorithm with Negative Autocorrelation,” Journal of Signal Processing, vol. 17, no. 4, pp. 119—122, July 2013. (https://doi.org/10.2299/jsp.17.119 )
  66. Yuki Nonaka, Mikio Hasegawa, “Chaotic oscillations in user-centric cognitive radio networks and their control,”INTERNATIONAL JOURNAL OF KNOWLEDGE AND WEB INTELLIGENCE, vol. 3, no. 1, pp. 70—84, July 2012. (https://dx.doi.org/10.1504/IJKWI.2012.048165 )
  67. Yuichi Omori, Hisashi Watanabe, Mikio Hasegawa, “Implementation and Evaluation of Chaotic CDMA System Using Software-Defined Radio,” Journal of Signal Processing, vol. 16, no. 4, pp. 331—334, July 2012. (https://doi.org/10.2299/jsp.16.331 )
  68. Yosuke Kon, Kazuki Hashiguchi, Masato Ito, Mikio Hasegawa, Kentaro Ishizu, Homare Murakami, Hiroshi Harada, “Autonomous Throughput Improvement Scheme using Machine Learning Algorithms for Heterogeneous Wireless Networks Aggregation,”IEICE TRANSACTIONS ON COMMUNICATIONS, vol. E95-B, no. 4, pp. 1143—1151, Apr. 2012. (https://doi.org/10.1587/transcom.e95.b.1143 )
  69. Homare Murakami, Kentaro Ishizu, Stanislav Filin, Hiroshi Harada, Mikio Hasegawa, “Design and Implementation of IEEE 1900.4 Architecture Using IMS Functionality,” IEICE TRANSACTIONS ON COMMUNICATIONS, E95-B, no. 4, pp. 1266—1275, Apr. 2012. (https://doi.org/10.1587/transcom.e95.b.1266 )
  70. Yuichi Omori, Jiaqi Wan, Mikio Hasegawa, “Design and Implementation of a Context-Aware Guide Application Kagurazaka Explorer,” Studies in Computational Intelligence, vol. 376, pp. 103-115, Springer, Oct. 2011. (https://doi.org/10.1007/978-3-642-23190-2_8 )
  71. Tomohiro Kato, Mikio Hasegawa, “Performance of Heuristic Methods driven by Chaotic Dynamics for ATSP and Applications to DNA Fragment Assembly,” NONLINEAR THEORY AND ITS APPLICATIONS, vol. 2, no. 4, pp. 485—496, Oct. 2011. (https://doi.org/10.1587/nolta.2.485 )
  72. Tohru Ikeguchi, Mikio Hasegawa, Takayuki Kimura, Takafumi Matsuura, Kazuyuki Aihara, “Theory and Applications of Chaotic Optimization Methods,” in Nedjah, N.; Santos Coelho, L.; Cocco Mariani, V.; Macedo Mourelle, L. de (Eds.), “Innovative Computing Methods and their Applications to Engineering Problems,” June 2011. (https://doi.org/10.1007/978-3-642-20958-1_8).
  73. Hideki Igeta, Mikio Hasegawa, “A Hybrid Approach using Chaotic Dynamics and Global Search Algorithms for Combinatorial Optimization Problems,” NONLINEAR THEORY AND ITS APPLICATIONS, vol. 2, no. 4, pp. 497—507, Feb. 2011. (https://doi.org/10.1587/nolta.2.497 )
  74. 河村鉄夫, 堀尾喜彦, 長谷川幹雄, “二次割当問題のための同期更新指数減衰カオスタブーサーチのニューロン選択法の相互情報量による解析(Mutual information analyses of neuron selection techniques in synchronous exponential chaotic tabu search for quadratic assignment problems),” 電気学会論文誌C(IEEJ Transactions on Electronics, Information and Systems), vol. 131, no. 3, pp. 592—599, Mar. 2011. (https://doi.org/10.1541/ieejeiss.131.592 )
  75. Mikio Hasegawa, Taichi Takeda, Hiroshi Harada, “Design and implementation of a user-centric access point selection algorithm based on mutually connected neural networks,” INTELLIGENT DECISION TECHNOLOGY, vol. 4, no. 4, pp.285—295, Aug. 2010. (https://doi.org/10.3233/IDT-2010-0090 )
  76. Yoshitoshi Murata, Mikio Hasegawa, Homare Murakami, Hiroshi Harada, Shuzo Kato, “The Architecture and a Business Model for the Open Heterogeneous Mobile Network,” IEEE COMMUNICATIONS MAGAZINE, 47, no. 5, pp. 97—101, 2009. (https://doi.org/10.1109/mcom.2009.4939283 )
  77. Yoshitomo Minami, Mikio Hasegawa, “Analysis of Relationship between Solvable Performance and Cross-Correlation on Optimization by Neural Network with Chaotic Noise,” 信号処理, vol. 13, no. 4, pp. 299—302, 2009.
  78. Mikio Hasegawa, Ha Nguyen Tran, Goh Miyamoto, Yoshitoshi Murata, Hiroshi Harada, Shuzo Kato, “Autonomous and Decentralized Optimization of Large-Scale Heterogeneous Wireless Networks Based on Neural Network Dynamics,” IEICE TRANSACTIONS ON COMMUNICATIONS, vol. E91-B, no.1, pp. 110-118, Jan. 2008. (https://doi.org/10.1093/ietcom/e91-b.1.110 )
  79. 井上真杉, Khaled Mahmud, 村上誉, 長谷川幹雄, 森川博之, “シームレス通信環境のためのコンテキスト情報を利用したネットワーク・アプリケーション制御機構,” 情報処理学会論文誌, vol. 46, no. 9, pp. 2236-2249, 2005.
  80. Masugi Inoue, Khaled Mahmud, Homare Murakami, Mikio Hasegawa, and Hiroyuki Morikawa, “Context-Based Network and Application Management on Seamless Networking Platform,” WIRELESS PERSONAL COMMUNICATIONS, vol. 35, no. 1-20, pp. 53-70, Oct. 2005. (https://doi.org/10.1007/s11277-005-8739-5 )
  81. Khaled Mahmud, Masugi Inoue, Homare Murakami, Mikio Hasegawa, Hiroyuki Morikawa, “Energy Consumption Measurement of Wireless Interfaces in Multi-service User Terminals for Heterogeneous Wireless Networks,” IEICE TRANSACTIONS ON COMMUNICATIONS, vol. E88-B, no. 3, pp. 1097-1110, Mar. 2005. (https://doi.org/10.1093/ietcom/e88-b.3.1097 )
  82. Masugi Inoue, Khaled Mahmud, Homare Murakami, Mikio Hasegawa, Hiroyuki Morikawa, “Novel Out-Of-Band Signaling for Seamless Interworking Between Heterogeneous Networks,” IEEE WIRELESS COMMUNICATIONS, vol. 11, no. 2, pp. 56-63, Apr. 2004. (https://doi.org/10.1109/mwc.2004.1295740 )
  83. 森川博之, 井上真杉, 長谷川幹雄, 領木信雄, “新世代モバイルネットワークへの展開,” 情報処理, vol. 45, no. 8, pp. 812-816, Aug. 2004.
  84. Mikio Hasegawa, Tohru Ikeguchi, Kazuyuki Aihara, Kohji Itoh, “A Novel Chaotic Search for Quadratic Assignment Problems,”EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 139, no. 3, pp. 543-556, June 2002. (https://doi.org/10.1016/S0377-2217(01)00189-8 )
  85. Mikio Hasegawa, Tohru Ikeguchi, Kazuyuki Aihara, “Solving Large Scale Traveling Salesman Problems by Chaotic Neurodynamics,” NEURAL NETWORKS, vol. 15, no. 2, pp. 111-123, Mar. 2002. (https://doi.org/10.1016/S0893-6080(02)00017-5 )
  86. Ryuichi Nanba, Mikio Hasegawa, Tomoyuki Nishita, Kazuyuki Aihara, “Optimization Using Chaotic Neural Network and Its Application to Lighting Design,” CONTROL AND CYBERNETICS, vol. 31, no. 2, pp. 249-269, Dec. 2002.
  87. Mikio Hasegawa, Tohru Ikeguchi, Kazuyuki Aihara, “Exponential and Chaotic Neurodynamical Tabu Search for Quadratic Assignment Problems,” CONTROL AND CYBERNETICS, vol. 29, no. 3, pp. 773-788, Sep 2000.
  88. Mikio Hasegawa, Tohru Ikeguchi, Kazuyuki Aihara, “Combination of Chaotic Neurodynamics with the 2-opt algorithm to solve Traveling Salesman Problems,” PHYSICAL REVIEW LETTERS, vol. 79, no. 12, pp. 2344-2347, 1997. (https://doi.org/10.1103/physrevlett.79.2344 )
  89. Mikio Hasegawa, Tohru Ikeguchi, Takeshi Matozaki, Kazuyuki Aihara, “An Analysis of Additive Effects of Nonlinear Dynamics for Combinatorial Optimization,” IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS, COMMUNICATIONS AND COMPUTER SCIENCES, vol. E80-A, no. 1, pp. 206-213, 1997.
  90. 長谷川幹雄，池口 徹，的崎 健，綿津 仁, “多角領域分割法による画像の解析,” 電子情報通信学会論文誌， J80-D-II, no. 5, pp. 1096-1104, 1997.
  91. Mikio Hasegawa, Tohru Ikeguchi, Takeshi Matozaki, Kazuyuki Aihara, “Improving image segmentation by chaotic dynamics,”IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS, COMMUNICATIONS AND COMPUTER SCIENCES, vol. E79-A, no. 10, pp. 1630—1637, 1996.

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