Achievements

  • Book

    1. Daichi Kominami, “Another Prediction Method and Application to Low-Power Wide-Area Networks,” Chapter 7 of Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems, Springer, April 15th, 2021.

    Lecture

    1. Daichi Kominami, “Object recognition method inspired by a multi-modal information processing mechanism in human brain,” Osaka University SiSReC Young Researcher Symposium, January 2022.

    Journal

    1. Ikkyu Aihara, Daichi Kominami, Yushi Hosokawa, Masayuki Murata, “Excitatory and inhibitory interactions affect the balance of chorus activity and energy efficiency in the aggregation of male frogs: Theoretical study using a hybrid dynamical model,” arXiv:2111.02640v1, November 2021.

    2. Masaya Murakami, Daichi Kominami, Kenji Leibnitz, and Masayuki Murata, “Reliable design for a network of networks with inspiration from brain functional networks,” Applied Sciences, accepted, July 2019.

    3. Mari Otokura, Kenji Leibnitz, Yuki Koizumi, Daichi Kominami, Tetsuya Shimokawa, and Masayuki Murata, “Evolvable Virtual Network Function Placement Method: Mechanism and Performance Evaluation,” IEEE Transactions on Network and Service Management, vol.16, no.1, March 2019.

    4. Ikkyu Aihara, Daichi Kominami, Yasuharu Hirano, and Masayuki Murata, “Mathematical Modeling and Application of Frog Choruses as an Autonomous Distributed Communication System,” Royal Society Open Science, https://royalsocietypublishing.org/doi/full/10.1098/rsos.181117, January 2019.

    5. Takanori Iwai, Daichi Kominami, Masayuki Murata, Ryogo Kubo, and Kozo Satoda, “Mobile Network Architectures and Context-Aware Network Control Technology in the IoT Era,” IEICE Transactions on Communications (invited), doi: 10.1587/transcom.2017NEI0001, April 2018. – available at IEICE.

    6. Masaya Murakami, Daichi Kominami, Kenji Leibnitz, and Masayuki Murata, “Drawing Inspiration from Human Brain Networks: Construction of Interconnected Virtual Networks,” Sensors, vol. 18, no. 4, doi: 10.3390/s18041133, April 2018. – available at Sensors.

    7. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto and Masayuki Murata, “Self-organizing Control Mechanism Based on Collective Decision-making for Information Uncertainty,” ACM Transactions on Autonomous and Adaptive Systems, Volume 13 Issue 1, April 2018. – available at ACM Digital Library.

    8. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto and Masayuki Murata, “Hierarchical optimal control method for controlling large-scale self-organizing networks,” ACM Transactions on Autonomous and Adaptive Systems, vol. 12, no. 4, November 2017. – available at ACM Digital Library.

    9. Shinya Toyonaga, Daichi Kominami, and Masayuki Murata, “Percolation analysis for constructing a robust modular topology based on a binary-dynamics model,” International Journal of Distributed Sensor Networks, SAGE, April 2017. – available at SAGE journals

    10. Masaya Murakami, Shu Ishikura, Daichi Kominami, Tetsuya Shimokawa, and Masayuki Murata, “Robustness and efficiency in interconnected networks with changes in network assortativity,” Applied Network Science, Springer, DOI: 10.1007/s41109-017-0025-4, March 2017. – available at Springer Open.

    11. Shinya Toyonaga, Daichi Kominami, and Masayuki Murata, “Virtual wireless sensor networks: Adaptive brain-inspired configuration for Internet of Things,” Sensors Special Issue `Intelligent Internet of Things (IoT) Networks,’ 2016, 16(8), 1323; doi: 10.3390/s16081323, August 2016. – available at Sensors.

    12. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “Controlling large-scale self-organized networks with lightweight cost for fast adaptation to changing environments,” ACM Transactions on Autonomous and Adaptive Systems, Volume 11 Issue 2, July 2016. – available at ACM Digital Library.

    13. Takuya Iwai, Daichi Kominami, Masayuki Murata, and Tetsuya Yomo, “Free-energy-based design policy for robust network control against environmental fluctuation, ” The Scientific World Journal, vol. 2015, pp. 1-12, doi: http://dx.doi.org/10.1155/2015/464031, June 2015. – available at Hindawi.

    14. Naomi Kuze, Daichi Kominami, Masayuki Murata, “A predictive mechanism for enhancing adaptability of self-organised routing,” International Journal of Bio-Inspired Computation, vol. 6, no. 6, pp. 384-396, November 2014. – available at Inderscience.

    15. Shinya Toyonaga, Daichi Kominami, Masashi Sugano, and Masayuki Murata, “Potential-based routing for supporting robust any-to-any communication in wireless sensor networks,” EURASIP Journal on Wireless Communications and Networking, vol. 2013, doi:10.1186/1687-1499-2013-278, December 2013. – available at Springer.

    16. Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Controlled and self-organized routing for large-scale wireless sensor networks,” ACM Transactions on Sensor Networks, vol. 10, no. 1, November 2013. – available at ACM Digital Library.

    17. Daichi Kominami and Masayuki Murata, “A design approach for controlled self-organization-based sensor networks focused on control timescale,” International Journal of Distributed Sensor Networks (special issue on wireless ad hoc sensor networks), DOI: 10.1155/2013/463605, vol. 2013, pp. 1-8, May 2013. – available at Hindawi.

    18. Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Robust and resilient data collection protocols for multihop wireless sensor networks,” IEICE Transactions on Communications, vol. E95-B, no. 9, pp.2740-2750, September 2012. – available at IEICE.

    19. Chuluunsuren Damdinsuren, Daichi Kominami, Masashi Sugano, Masayuki Murata and Takaaki Hatauchi, “Lifetime extension based on residual energy for receiver-driven multi-hop wireless network,” Cluster Computing, DOI: 10.1007/s10586-012-0212-0, pp. 1-12, May, 2012. – available at Springer.

    20. Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Energy-efficient receiver-driven wireless mesh sensor networks,” Sensors, vol. 11, no. 1, pp. 111-137, December 2011. – available at Sensors.

    Refereed conference papers

    1. Daichi Kominami, Sayaka Nishide, Satoshi Nishimura, Tatsuya Otoshi, Masaaki Kurozumi, Daiki Fukudome, Masao Yamamoto, and Masayuki Murata, “Choice-supportive bias affects video viewing experiences: Subjective experiment and evaluation,” to be presented at IEEE/ACM IWQoS, June 2022.

    2. Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata, and Masaya Fujiwaka, “Realtime Object Recognition Method Inspired by Multimodal Information Processing in the Brain for Distributed Digital Twin Systems,” to be presented at IWCMC, June 2022.

    3. Yuki Fujita, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata, and Masaya Fujiwaka, “Spreading Factor Allocation Method Adaptive to Changing Environments for LoRaWAN Based on Thermodynamical Genetic Algorithm,” to be presented at IWCMC, June 2022.

    4. Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata, and Masaya Fujiwaka, “Object estimation method for edge devices inspired by multimodal information processing in the brain,” in Proceedings of the 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), pp. 945–946, January 2022.

    5. Sayaka Nishide, Daichi Kominami, Satoshi Nishimura, Tatsuya Otoshi, Masaaki Kurozumi, Daiki Fukudome, Masao Yamamoto, and Masayuki Murata, “Cognitive-effect-based bit rate control to improve quality of experience for video streaming,” in Proceedings of 2021 International Conference on Emerging Technologies for Communications (ICETC), December 2021.

    6. Kasumi Kitao, Daichi Kominami, and Masayuki Murata, “GA-based feature selection for QoE estimation using EEG during video viewing,” in Proceedings of 2020 International Conference on Emerging Technologies for Communications (ICETC), December 2020.

    7. Daichi Kominami, Yohei Hasegawa, Kosuke Nogami, Hideyuki Shimonishi, Masayuki Murata, “Bayesian-based channel quality estimation method for LoRaWAN with unpredictable interference,” in Proceedings of IEEE Global Communications Conference (GLOBECOM), December 2020.

    8. Yushi Hosokawa, Daichi Kominami, Ikkyu Aihara, and Masayuki Murata, “Implementation of a real-time sound source localization method for outdoor animal detection
      using wireless sensor networks,” in Proceedings of International Conferences on Signal Processing and Communication Systems (ICSPCS), pp. 1-6, December 2019.

    9. Ikkyu Aihara, Daichi Kominami, Yushi Hosokawa, and Masayuki Murata, “Modeling and Application of Frog Choruses as an Autonomous Distributed Communication System over Multiple Time Scales,” presented at the 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM), November 2019.

    10. Masayoshi Iwamoto, Tatsuya Otoshi, Daichi Kominami, and Masayuki Murata, “Rate Adaptation with Bayesian Attractor Model for MPEG-DASH,” in Proceedings of IEEE Annual Computing and Communication Workshop and Conference (IEEE CCWC), January 2019.

    11. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “Self-organizing Control Mechanisms According to Information Confidence for Improving Performance,” in Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM), pp. 1-6, December 2018.

    12. Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, and Masayuki Murata, “Self-organizing Wireless Sensor Networks Based on Biological Collective Decision Making for treating Information Uncertainty,” in Proceedings of IEEE International Conference of Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 167-174, November 2017.

    13. Masaya Murakami, Kenji Leibnitz, Daichi Kominami, and Masayuki Murata, “Designing Interconnected Networks for Improving Robustness and Efficiency,” in Proceedings of IEEE International Symposium on Local and Metropolitan Area Networks (IEEE LANMAN), June 2017.

    14. Daichi Kominami, Takanori Iwai, Hideyuki Shimonishi, and Masayuki Murata, “A control method for autonomous mobility management systems toward 5G mobile networks,” in Proceedings of IEEE International Conference on Communications, Workshop (ICC-WS03), May 2017.

    15. Masaya Murakami, Kenji Leibnitz, Daichi Kominami, Tetsuya Shimokawa, and Masayuki Murata, “Constructing Virtual IoT Network Topologies with a Brain-Inspired Connectivity Model,” in Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication (ACM IMCOM), pp. 1-7, January 2017. – available at ACM Digital Library.

    16. Mari Otokura, Kenji Leibnitz, Yuki Koizumi, Daichi Kominami, Tetsuya Shimokawa, and Masayuki Murata, “Impact of Fluctuating Goals on Adaptability of Evolvable VNF Placement Method,” in Proceedings of 9th International Workshop on Autonomous Self-Organizing Networks (CANDAR ASON Workshop), pp. 304-310 December 2016. [IEEE Xplore Digital Library]

    17. Mari Otokura, Kenji Leibnitz, Yuki Koizumi, Daichi Kominami, Tetsuya Shimokawa, and Masayuki Murata, “Application of Evolutionary Mechanism to Dynamic Virtual Network Function Placement,” in Proceedings of the IEEE 24th International Conference on Network Protocols (ICNP), Workshop: Control Operation and Application in SDN protocols (CoolSDN Workshop), pp. 1-6, November 2016. [IEEE Xplore Digital Library]

    18. Yasuharu Hirano, Takuya Iwai, Daichi Kominami, Ikkyu Aihara, and Masayuki Murata, “Implementation of a sound-source localization method for calling frog in an outdoor environment using a wireless sensor network, ” in Proceedings of the IEEE international Conference on Wireless Communications, Signal Processing and Networking (IEEE WiSPNET), March 2016. [IEEE Xplore Digital Library]

    19. Shinya Toyonaga, Daichi Kominami, and Masayuki Murata, “Brain-inspired method for constructing a robust virtual wireless sensor network, ” in Proceedings of the 2015 International Conference on Computing and Network Communications (IEEE CoCoNet), pp. 59-65, December 2015. [IEEE Xplore Digital Library]

    20. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “Hierarchical optimal control method for controlling self-organized networks with light-weight cost,” in Proceedings of the 2015 IEEE Global Communications Conference (IEEE GLOBECOM), pp. 1-7, December 2015. [IEEE Xplore Digital Library]

    21. Yuki Fujita, Daichi Kominami, and Masayuki Murata, “Sink mobility strategies for reliable data collection in wireless sensor networks,” in Proceedings of the 7th International Conference on Adaptive and Self-Adaptive Systems and Applications (IARIA ADAPTIVE), pp. 150-157, March 2015. – available at ThinkMind.

    22. Takuya Iwai, Daichi Kominami, Masayuki Murata, and Tetsuya Yomo, “Thermodynamics-based strategy to achieve balance between robustness and performance for self-organized network controls, ” in Proceedings of the 8th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (poster session) (IEEE SASO), pp. 181-182, September 2014. [IEEE Xplore Digital Library]

    23. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “Enhancing convergence with optimal feedback for controlled self-organizing networks,” in Proceedings of the IEEE 80th Vehicular Technology Conference (IEEE VTC fall), pp. 1-7, September 2014. [IEEE Xplore Digital Library]

    24. Takuya Iwai, Daichi Kominami, Masayuki Murata, and Tetsuya Yomo, “Thermodynamics-based entropy adjustment for robust self-organized network controls,” in Proceedings of the 38th Annual IEEE International Computers, Software, and Applications Conference (poster session) (IEEE COMPSAC), pp. 636-637, July 2014. [IEEE Xplore Digital Library]

    25. Naomi Kuze, Naoki Wakamiya, Daichi Kominami, and Masayuki Murata, “Proposal and evaluation of a predictive mechanism for ant-based routing,” in Proceedings of the 5th International Conference on Emerging Network Intelligence (IARIA EMERGING), pp. 7-12, September 2013. – available at ThinkMind.

    26. Shinya Toyonaga, Yuki Fujita, Daichi Kominami, and Masayuki Murata, “Implementation of controlled sink mobility strategies with a gradient field in wireless sensor networks,” in Proceedings of the 7th International Conference on Sensor Technologies and Applications (IARIA SENSORCOMM), pp. 27-32, August 2013. – available at ThinkMind.

    27. Shinya Toyonaga, Daichi Kominami, Masashi Sugano, and Masayuki Murata, “Potential-based downstream routing for wireless sensor networks,” in Proceedings of the 7th International Conference on Systems and Networks Communications (IARIA ICSNC), pp. 59-64, November 2012. – available at ThinkMind.

    28. Chuluunsuren Damdinsuren, Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Load balancing techniques for extending smart metering system lifetime,” in Proceedings of the IEEE Region 10 Conference – Networks and Communications (IEEE TENCON), pp. 1-6, November 2012. [IEEE Xplore Digital Library]

    29. Tadashi Hayamizu, Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Performance improvement by collision avoidance of control packets in receiver-driven multihop wireless mesh networks,” in Proceedings of the 9th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS), pp. 473-474, October 2012. [IEEE Xplore Digital Library]

    30. Chuluunsuren Damdinsuren, Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Lifetime extension based on residual energy for receiver-driven multi-hop wireless network,” in Proceedings of Workshop on Optimization Issues in Energy Efficient Distributed Systems (HPCS Workshop OPTIM), pp. 442-448, July 2011. [IEEE Xplore Digital Library]

    31. Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Controlled potential-based routing for large-scale wireless sensor networks,” in Proceedings of the 14th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (ACM MSWiM), pp. 187-195, November 2011. [ACM Digital Library]

    32. Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Robustness of receiver-driven multi-hop wireless network with soft-state connectivity management,” in Proceedings of the 5th International Conference on Systems and Networks Communications (IARIA ICSNC), pp. 46-51, August 2010. [IEEE Xplore Digital Library]

    33. Daichi Kominami, Masashi Sugano, Masayuki Murata, Takaaki Hatauchi, and Junichi Machida, “Energy saving in intermittent receiver-driven multi-hop wireless sensor networks,” in Proceedings of the 3rd IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (IEEE SUTC), pp. 296-303, June 2010. [IEEE Xplore Digital Library]

    34. Daichi Kominami, Masashi Sugano, Masayuki Murata, Takaaki Hatauchi, and Yoshikazu Fukuyama, “Performance evaluation of intermittent receiver-driven data transmission on wireless sensor networks,” in Proceedings of the 6th International Symposium on Wireless Communication Systems (ISWCS), pp. 141-145, September 2009. [IEEE Xplore Digital Library]

    Non-refereed conference papers

    1. Sayaka Nishide, Daichi Kominami, Satoshi Nishimura, Tatsuya Otoshi, Masaaki Kurozumi, Daiki Fukudome, Masao Yamamoto, and Masayuki Murata, “Verification of the effect of cognitive bias on QoE when watching videos,” Proceedings of the IEICE General Conference, March 2022.

    2. Kaito Kubo, Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata, and Masaya Fujiwaka, “Implementation and evaluation of an object recognition method for Digital Twin using cognitive mechanism of the Brain,” Technical Report of IEICE (CQ2021-125), vol. 121, no. 421, pp. 136-141, March 2022.

    3. Daichi Kominami, Sayaka Nishide, Satoshi Nishimura, Tatsuya Otoshi, Masaaki Kurozumi, Daiki Fukudome, Masao Yamamoto, and Masayuki Murata, “Subjective experimental evaluation of the impact of choice-supportive bias on video viewing QoE,” Technical Report of IEICE (CQ2021-98), vol. 121, no. 357, pp. 120-125 January 2022.

    4. Yuki Fujita, Daichi Kominami, Hideyuki Shimonishi, and Masayuki Murata, “An adaptive spreading factor allocation method to dynamic environmental changes using Thermodynamical genetic algorithm for LoRaWAN,” Technical Report of IEICE (CQ2021-70), vol. 121, no. 263, pp. 29-34 Nobember 2021.

    5. Hideyuki Shimonishi, Yuichi Ohsita, Daichi Kominami, Masayuki Murata, Hiroshi Yoshida, Kosuke Nogami, Masaya Fujiwaka, Manabu Nakanoya, and Dai Kanetomo, “[invited] Probabilistic Digital Twinin,” Technical Report of IEICE (2021-57), vol. 121, no. 173, pp. 97-101, September 2021.

    6. Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata, Masaya Fujiwaka, and Kosuke Nogami, “Proposal and Evaluation of an Object Estimation Method Inspired by Multimodal Information Processing in the Brain,” Technical Report of IEICE (2021-14), vol. 121, no. 15, pp. 59-64, May 2021.

    7. Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, and Masayuki Murata, “Network Control Mechanism Using Uncertain Information inspired by Collective Decision Making,” Technical Report of IEICE (IN2019-128), vol. 119, no. 461, pp. 297-302 March 2020.

    8. Yushi Hosokawa, Daichi Kominami, Ikkyu Aihara, and Masayuki Murata, “Efficient LPWA network coverage method inspired from satellite behavior of Japanese tree frogs,” Technical Report of IEICE (IN2019-86), vol. 119, no. 461, pp. 61-66 March 2020.

    9. Daichi Kominami, Yohei Hasegawa, Kosuke Nogami, Hideyuki Shimonishi, and Masayuki Murata, “Bayesian channel selection method for LoRaWAN under unpredictable wireless channel fluctuations,” Technical Report of IEICE (CQ2019-122), vol. 119, no. 367, pp. 83-88, January 2020.

    10. Daichi Kominami, Masayoshi Iwamoto, Tatsuya Otoshi, and Masayuki Murata, “Rate control method in MPEG-DASH based on a human cognitive model,” Forum on Information Technology (FIT), September 2019.

    11. Masayoshi Iwamoto, Tatsuya Otoshi, Daichi Kominami, and Masayuki Murata, “A rate control method for QoE improvement in video streaming services based on a human cognitive model,” Technical Report of IEICE (IN2018-143), vol. 118, no. 466, pp. 355-350, March 2019.

    12. Saeko Sigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, and Masayuki Murata, “Self-Organizing Reliability Decision of Controller inspired by Collective Decision Making,” Technical Report of IEICE (IN2018-108), vol. 118, no. 466, pp. 144-150, March 2019.

    13. Ikkyu Aihara, Daichi Kominami, Yushi Hosokawa, and Masayuki Murata, “Proposal for a communication method learned from frog chorus,” Proceedings of the IEICE General Conference, March 2019.

    14. Daichi Kominami, Kazuya Suzuki, Yohei Hasegawa, Hideyuki Shimonishi, and Masayuki Murata, “Channel assignment for LPWA networks inspired by perceptual decision-making of human brain,” Technical Report of IEICE (NS2018-2), vol. 118, no. 6, pp. 7-12, April 2018.

    15. Masaya Murakami, Daichi Kominami, Kenji Leibnitz, and Masayuki Murata, “Reliable Architecture for Network of Networks with Inspiration from Brain Networks,” Technical Report of IEICE (IN2017-111), vol. 117, no. 460, pp. 129-134, March 2018.

    16. Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, and Masayuki Murata, “Self-Organized Network Control Using Uncertain Information Inspired by Collective Decision Making,” Technical Report of IEICE (IN2017-127), vol. 117, no. 460, pp. 225-230, March 2018.

    17. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “Channel selection mechanism with uncertain information inspired by collective decision making,” Technical Report of IEICE (IN2017-118), vol. 117, no. 460, pp. 171-176, March 2018.

    18. Yushi Hosokawa, Daichi Kominami, Ikkyu Aihara, and Masayuki Murata, “Implementation of an acoustic localization method using a wireless microphone-array network,” Technical Report of IEICE (ASN2017-87), vol. 117, no. 426, pp. 23-28, January, 2018.

    19. Masayoshi Iwamoto, Tatsuya Otoshi, Daichi Kominami, and Masayuki Murata, “Flexible user model for human’s cognitive judgment in video streaming applications,” in Proceedings of The 6th Korea-Japan Joint Workshop on Complex Communication Science, January, 2018.

    20. Daichi Kominami, Ikkyu Aihara, and Masayuki Murata, “Self-organized transmission scheduling for LPWA networks considering gateway load balancing,” Technical Report of IEICE(IN2017-67), vol. 117, no. 353, pp. 127-132, December 2017.

    21. Daichi Kominami, Yasuharu Hirano, Ikkyu Aihara, and Masayuki Murata, “Localization system for analyzing chorus of Japanese tree frogs,” IPSJ SIG Technical Reports (SIGMUS 2017), June 2017.

    22. Daichi Kominami, Takanori Iwai, Hideyuki Shimonishi, and Masayuki Murata, “QoE enhancement for video streaming based on a human perceptual mechanism,” Technical Report of IEICE (NS2016-221), vol. 116, no. 486, pp. 365-370, March 2017.

    23. Ikkyu Aihara, Daichi Kominami, Yasuharu Hirano, and Masayuki Murata, “Autonomous distributed control methods for wireless sensor networks based on nonlinear dynamics of frog choruses,” Technical Report of IEICE (IN2016-155), vol. 116, no. 485, pp. 347-352, March 2017.

    24. Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, and Masayuki Murata, “Self-organized multi-agent control method inspired by collective decision making,” Technical Report of IEICE (IN2016-145), vol. 116, no. 485, pp. 287-292, March 2017.

    25. Masaya Murakami, Daichi Kominami, Kenji Leibnitz, and Masayuki Murata, “Analysis and strategies for improving robustness and efficiency in interconnected networks,”Technical Report of IEICE (IN2016-166), vol. 116, no. 485, pp. 413-418, March 2017.

    26. Yasuharu Hirano, Daichi Kominami, Ikkyu Aihara, and Masayuki Murata, “Real Time Localization Methods for Calling Frogs using a Wireless Sensor Network,” presented at the poster session of the 3rd Annual Meeting of Bioacoustics, December 2016.

    27. Mari Otokura, Kenji Leibnitz, Yuki Koizumi, Daichi Kominami, Tetsuya Shimokawa, Masayuki Murata, “Application of Evolutionary Mechanism to Dynamic Virtual Network Function Placement,” Technical Report of IEICE (IN2016-37), vol. 116, no. 231, pp. 7-12, September 2016.

    28. Masaya Murakami, Daichi Kominami, Kenji Leibnitz, Tetsuya Shimokawa, and Masayuki Murata, “Constructing a virtual IoT network using a cerebral cortical connectivity model,” in Technical Report of IEICE (CCS2016-18), vol. 116, no. 180, pp. 9-14, August 2016.

    29. Shu Ishikura, Daichi Kominami, and Masayuki Murata, “Evaluation of the degree correlation’s impact on information diffusion in modular networks,” in Proceedings of The 4th Korea-Japan Joint Workshop on Complex Communication Science, January, 2016.

    30. Daichi Kominami, Masayuki Murata, and Tetsuya Yomo, “Thermodynamics of Information Networks,” Technical Report of IEICE (IN2015-70), vol. 115, no. 310, pp. 51-56, November 2015.

    31. Yasuharu Hirano, Daichi Kominami, and Masayuki Murata, “Implementation of an acoustic localization method for calling frog using a wireless sensor network,” Technical Report of IEICE (IN2015-2), vol. 115, no. 42, pp. 7-12, May 2015.

    32. Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “[invited] Enhancing adaptability of self-organizing network systems,” Technical Report of IEICE (IN2014-77), vol. 114, no. 253, pp. 19-24, October 2014.

    33. Takura Iwai, Daichi Kominami, Masayuki Murata, and Tetsuya Yomo, “Interpretation of self-organized network controls in terms of Thermodynamics,” Workshop on IEICE Technical Committee on Information Network Science (NetSci), August 2014.

    34. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “Potential-based routing with optimal feedback using reduced order model for controlled self-organizing networks,” Technical Report of IEICE (IN2014-32), vol. 114, no. 139, pp. 7-12, July 2014.

    35. Shu Ishikura, Daichi Kominami, and Masayuki Murata, “A topology construction method for wireless sensor networks inspired by brain functional networks,” Technical Report of IEICE (IN2014-31), vol. 114, no. 139, pp. 7-12, July 2014.

    36. Takuya Iwai, Daichi Kominami and Masayuki Murata, “Thermodynamics-based coordinated control for self-organizing information networks,” Proceedings of the IEICE General Conference, March 2014.

    37. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “Robustness of potential-based routing with model predictive control,” Technical Report of IEICE (IN2013-195), vol. 113, no. 473, pp. 305-310, March 2014.

    38. Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, “Potential-based routing with model predictive control for controlled self-organizing networks,” Technical Report of IEICE (IN2013-173), vol. 113, no. 473, pp. 205-210, March 2014.

    39. Yuki Fujita, Shinya Toyonaga, Daichi Kominami, and Masayuki Murata, “Proposal and implementation of controlled sink mobility using potential fields in wireless sensor networks,” Technical Report of IEICE (IN2013-13), vol. 113, no. 76, pp. 7-12, May 2013.[CiNii (Japanese)]

    40. Daichi Kominami and Masayuki Murata, “A design approach for managed self-organization based wireless sensor networks,” Proceedings of the IEICE General Conference, BS-9-1, pp. 175-176, March 2013. [CiNii (Japanese)]

    41. Daichi Kominami and Masayuki Murata, “A design approach for controlled and self-organized networks focused on control timescale,” Workshop on IEICE Technical Committee on Information Network Science (NetSci), August 2012. [IEICE (Japanese)]

    42. Shinya Toyonaga, Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Potential-based downstream routing for wireless sensor networks,” Technical Report of IEICE (AN2012-30), vol. 112, no. 30, pp. 45-46, May 2012. [CiNii (Japanese)]

    43. Damdinsuren Chuluunsuren, Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Load balancing techniques for lifetime prolonging in smart metering systems,” Technical Report of IEICE (IN2011-188), vol. 111, no. 469, pp. 305-310, March 2012. [CiNii (Japanese)]

    44. Damdinsuren Chuluunsuren, Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Control method of intermittent interval for extending lifetime of receiver-driven multi-hop wireless network,” Technical Report of IEICE (IN2010-164), vol. 110, no. 449, pp. 121-126, March 2011. [CiNii (Japanese)]

    45. Tadashi Hayamizu, Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Performance improvement by collision avoidance of control packet for receiver-driven multi-hop wireless networks,” Technical Report of IEICE (IN2010-191), vol. 110, no. 449, pp. 283-288, March 2011. [CiNii (Japanese)]

    46. Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Controlled potential-based routing for large-scale wireless sensor networks,” Technical Report of IEICE (AN2010-48), vol. 110, no. 377, pp. 25-30, January 2011. [CiNii (Japanese)]

    47. Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Robustness of intermittent receiver-driven wireless networks against fluctuations of wireless channel quality,” Technical Report of IEICE (AN2010-21), vol. 110, no. 129, pp. 63-68, July 2010. [CiNii (Japanese)]

    48. Damdinsuren Chuluunsuren, Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Lifetime extension based on residual energy for receiver-driven multi-hop wireless network,” Technical Report of IEICE (AN2010-3), vol. 110, no. 49, pp. 11-14, May 2010. (Young Researcher Study Encouragement Award). [CiNii (Japanese)]

    49. Daichi Kominami, Masashi Sugano, Masayuki Murata, and Takaaki Hatauchi, “Robustness of receiver-driven multi-hop wireless network with soft-state connectivity management,” The Papers of Technical Meeting on Information Systems, IEE Japan (IS-10-038), pp. 81-86, May 2010. [CiNii (Japanese)]

    50. Daichi Kominami, Masashi Sugano, Masayuki Murata, Takaaki Hatauchi, and Junichi Machida, “Performance improvement by collision avoidance mechanism in receiver-driven multi-hop wireless networks,” Technical Report of IEICE (AN2009-32), vol. 109, no. 247, pp.65-70, October 2009. [CiNii (Japanese)]

    51. Daichi Kominami, Masashi Sugano, Masayuki Murata, Takaaki Hatauchi, Yoshikazu Fukuyama, and Tatsuya Shikura, “Evaluation of intermittent receiver-driven data transmission on wireless sensor networks,” Technical Report of IEICE (IN2008-155), vol. 108, no. 458, pp. 139-144, March 2009. [CiNii (Japanese)]

    Thesis

    • Doctoral thesis: “Managed self-organization control for robust wireless sensor networks,” Graduate School of Information Science and Technology, Osaka University, January 2013. [pdf]

    • Master’s thesis: “Robustness of receiver-driven multi-hop wireless network with softstate connectivity management,” Graduate School of Information Science and Technology, Osaka-University, February 2010. [pdf]

    Awards

    • Young Researcher Encouragement Award, Symbiotic Intelligent System Research Center, 2021.

    • Research Award: “Implementation of an acoustic localization method for calling frog using a wireless sensor network,” IEICE Technical Committee on Information Networks, 2015.

    • Best Paper Award: “Brain-inspired method for constructing a robust virtual wireless sensor network,” IEEE CoCoNet 2015, December 2015 (second author).

    • Best Paper Award: “Proposal and evaluation of a predictive mechanism for ant-based routing,” EMERGING 2013, October 2013 (second author).

    • KASAMI Award: for “Study on managed self-organizing network architectures for large-scale wireless sensor networks,” Graduate School of Engineering Sciences, Osaka University, March 2014.

    • The Young Researcher Study Encouragement Award: “Controlled potential-based routing in large-scale wireless sensor networks,” IEICE Technical Committee on Ad Hoc Networks, January 2011.

    • Best Paper Award: “Robustness of receiver-driven multi-hop wireless network with soft-state connectivity management,” ICSNC 2010, August 2010.