論文 - 鎌田 十三郎
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Poster: Multi-Agent Transformer for Dynamic Allocation of Distributed Applications on the Edge
Ryota Matsumoto, Patrick Finnerty, Chikara Ohta, Tomio Kamada
IEEE Vehicular Networking Conference, VNC 255 - 256 2024年
Edge computing has to potential to deliver vital low-latency services for ITS. However, due to the limited resources available on the edge, carefully allocating such services and adapting to changes in client distribution is necessary. In this poster, we show that a MAT reinforcement learning approach can perform better than heuristics.
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Automatically balancing relocatable distributed collections 査読あり
Patrick Finnerty, Tomio Kamada, Chikara Ohta
Concurrency and Computation: Practice and Experience 35 ( 27 ) e7717 2023年4月
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Distributed Cell Set : A Library for Space-Dependent Communication/Computation Overlap on Manycore Cluster 査読あり
Yoshiki Kawanishi, Patrick Finnerty, Tomio Kamada, Chikara Ohta
Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores 2023年2月
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Hajime Migita, Taiyo Tanaka, Shuji Yamaguchi, Makoto Takenaka, Patrick Finnerty, Tomio Kamada, Chikara Ohta
2022 IEEE 8th World Forum on Internet of Things (WF-IoT) 2022年10月
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Supercharging the APGAS Programming Model with Relocatable Distributed Collections 査読あり
Patrick Finnerty, Yoshiki Kawanishi, Tomio Kamada, Chikara Ohta
Scientific Programming 2022年9月
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A study on optimization of polling scheduling for in-vehicle UWB wireless networks 査読あり
Chikara Ohta, Taiyo Tanaka, Hajime Migita, Shuji Yamaguchi, Makoto Takenaka, Patrick Finnerty, Tomio Kamada
IEICE Communications Express 11 ( 7 ) 429 - 434 2022年7月
出版者・発行元：Institute of Electronics, Information and Communications Engineers ({IEICE})
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Integrating a global load balancer to an APGAS distributed collections library 査読あり
Patrick Finnerty, Tomio Kamada, Chikara Ohta
Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores 2022年4月
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Pedestrian Information Collation through Image-Based Person Identification for Pedestrian Information Sharing using V2V Communications. 査読あり
Enami Naoko, Uemura Saai, Asano Koh, Finnerty Patrick, Kamada Tomio, Ohta Chikara
IEICE Communications Express 11 ( 10 ) 625 - 629 2022年
出版者・発行元：The Institute of Electronics, Information and Communication Engineers
The purpose of this research is to share pedestrian information among multiple vehicles by vehicle-to-vehicle communication and detect the positions of all pedestrians around the vehicle. In the past, we have proposed a method of collating shared pedestrian information through image-based person Re-Identification (ReID). In this paper, in order to improve the accuracy of pedestrian information collation, the state-of-the-art ReID network is adapted to our scenario by fine-tuning. In addition, a new pedestrian image dataset for sharing pedestrian information was constructed. In our experiments using our dataset, the proposed method improved the pedestrian information collation accuracy.
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Ryota Matsumoto, Patrick Finnerty, Chikara Ohta
IEICE Communications Express 2022年
出版者・発行元：Institute of Electronics, Information and Communications Engineers ({IEICE})
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Radio resource allocation based on adaptive and maximum reuse distance for LTE-V2X sidelink mode 3 査読あり
Daigo Yasuda, Patrick Finnerty, Tomio Kamada, Chikara Ohta
IEICE Communications Express 10 ( 10 ) 792 - 797 2021年10月
出版者・発行元：Institute of Electronics, Information and Communications Engineers ({IEICE})
LTE-V2X is one of the promising wireless technologies for Vehicle to Everything (V2X), which is expected to enhance the safety of road traffic. In this paper, we propose a radio resource allocation scheme for LTE-V2X Sidelink Mode 3. The reliability of packet transmission is seriously affected by changes in vehicle density. To cope with this issue, our new scheme reuses radio resources efficiently by calculating the range of protection from mutual interference based on the vehicle density. Compared with existing schemes, the proposed scheme successfully maintains a lower error rate of packet transmission regardless of the vehicle density.
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Topic allocation method on edge servers for latency‐sensitive notification service 査読あり
Tomoya Tanaka, Tomio Kamada, Chikara Ohta
International Journal of Network Management 31 ( 6 ) 2021年6月
出版者・発行元：Wiley
DOI： 10.1002/nem.2173
その他リンク： https://onlinelibrary.wiley.com/doi/full-xml/10.1002/nem.2173
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Patrick Finnerty, Tomio Kamada, Chikara Ohta
Concurrency and Computation: Practice and Experience 2021年2月
出版者・発行元：Wiley
DOI： 10.1002/cpe.6224
その他リンク： https://onlinelibrary.wiley.com/doi/full-xml/10.1002/cpe.6224
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Error Factor Analysis of DNN-based Fingerprinting Localization through Virtual Space 査読あり
Takuto Jikyo, Tomio Kamada, Chikara Ohta, Takaharu Yaguchi, Kenji Oyama, Takenao Ohkawa, Ryo Nishide
2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC) 9 - 12 2021年1月
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Indoor localization based on CSI in dynamic environments through domain adaptation 査読あり
Liuyi Yang, Tomio Kamada, Chikara Ohta
IEICE COMMUNICATIONS EXPRESS 10 ( 8 ) 564 - 569 2021年
出版者・発行元：IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
As the demand for indoor localization applications continues to grow, device-free localization based on Wi-Fi Channel State Information (CSI) has become a popular research topic. Wi-Fi signals are, however, easily affected by environmental factors such as furniture changes. These factors disable the original localization system, and rebuilding it will cost a lot of time and workforce. This is a major challenge of device-free Wi-Fi localization. To address this issue, we use a transfer learning method, "Integration of Global and Local Metrics for Domain Adaptation (IGLDA)," and improve it, aiming to adapt the original localization model to the changing environment. Consequently, the localization accuracy is improved from 26.3 % to 82.2 % by only recollecting 37.5 % of data.
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Distributed topic management in publish-process-subscribe systems on edge-servers for real-time notification service 査読あり
Tomoya Tanaka, Tomio Kamada, Chikara Ohta
IEICE Communications Express 9 ( 12 ) 616 - 621 2020年12月
出版者・発行元：Institute of Electronics, Information and Communications Engineers ({IEICE})
The importance of real-time and data-driven notification has been growing for social services and Intelligent Transporting System (ITS). As an advanced version of Pub/Sub systems, publish-process-subscribe systems with MEC (Multi-access Edge Computing), where published messages are spooled and processed on edge servers, have been proposed. In this paper, we present a topic-based publish-process-subscribe system that allows a topic to be managed on multiple edge servers so that messages are processed near publishers and transferred to subscribers immediately. However, managing each topic on numerous edge servers can cause exhaustion of storage resources on edge servers. We introduce a simple topic allocation method on edge servers to discuss the problem. Experiments show the feasibility of our proposed system.
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Tomoya Tanaka, Tomio Kamada, Chikara Ohta
2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) 85 - 90 2020年9月
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Self-adjusting task granularity for Global load balancer library on clusters of many-core processors 査読あり
Patrick Finnerty, Tomio Kamada, Chiara Ohta
PMAM '20: Proceedings of the Eleventh International Workshop on Programming Models and Applications for Multicores and Manycores 1 - 10 2020年2月
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Distributed Key-Value Storage for Edge Computing and Its Explicit Data Distribution Method 査読あり
Takehiro NAGATO, Takumi TSUTANO, Tomio KAMADA, Yumi TAKAKI, Chikara OHTA
IEICE Transactions on Communications E103.B ( 1 ) 20 - 31 2020年1月
出版者・発行元：Institute of Electronics, Information and Communications Engineers (IEICE)
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Joint Channel and AP/STA Assignment for Infrastructure-Mode IEEE 802.11 Multi-Interface Wireless Mesh Networks 査読あり
TAKAHASHI Tomoki, KAMADA Tomio, OHTA Chikara, TAMURA Naoyuki, MAENO Taka
Proceedings of the 6th International Workshop on Smart Wireless Communications 12 - 17 2019年11月
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Distributed Key-Value Storage for Edge Computing and Its Explicit Data Distribution Method 査読あり
NAGATO Takehiro, TSUTANO Takumi, KAMADA Tomio, TAKAKI Yumi, OHTA Chikara
Proceedings of the 33th International Conference on Information Networking (ICOIN 2019) 2019年1月