Search Results - "Ryoichiro, Obukata"

Performance analysis of a genetic algorithm based system for wireless mesh networks considering exponential and weibull distributions, DCF and EDCA, and different number of flows by Shinko, Ilir, Kolici, Vladi, Obukata, Ryoichiro, Barolli, Admir, Oda, Tetsuya, Barolli, Leonard

“…In this paper, we evaluate the performance of two WMN architectures (infrastructure/backbone WMNs (I/B WMNs) and Hybrid WMN architectures) considering…”
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Implementation and evaluation of an ambient intelligence testbed by Bylykbashi Kevin, Evjola, Spaho, Ryoichiro, Obukata, Ozera Kosuke, Liu, Yi, Barolli Leonard

“…PurposeThe purpose of this work is to implement an ambient intelligence (AmI) testbed to improve human sleeping conditions.Design/methodology/approachThe…”
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Implementation of an Intelligent Hybrid Simulation System for Node Placement Problem in WMNs Considering Particle Swarm Optimization and Simulated Annealing by Sakamoto, Shinji, Obukata, Ryoichiro, Oda, Tetsuya, Barolli, Leonard, Ikeda, Makoto

“…Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wireless Internet connectivity, therefore WMNs are becoming an…”
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Performance Analysis by WMN-GA Simulation System for Different WMN Architectures Considering Exponential Distribution, Different Transmission Rates and OLSR Protocol by Matsuo, Keita, Oda, Tetsuya, Obukata, Ryoichiro, Yamada, Masafumi, Barolli, Leonard

“…In this paper, we evaluate the performance of two WMN architectures considering throughput, delay and fairness index metrics. For simulations, we used ns-3. We…”
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Implementation and evaluation of an ambient intelligence testbed: Improvement of human sleeping conditions by a fuzzy-based system by Bylykbashi, Kevin, Spaho, Evjola, Obukata, Ryoichiro, Ozera, Kosuke, Liu, Yi, Barolli, Leonard

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A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Exponential Distribution, HWMP and TCP Protocols by Barolli, Admir, Oda, Tetsuya, Obukata, Ryoichiro, Ikeda, Makoto, Barolli, Leonard, Takizawa, Makoto

“…In our previous work, we implemented WMNGA system which is based on Genetic Algorithms (GAs) and used it for node placement problem in WMNs. In this paper, we…”
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Design and Implementation of a Simulation System Based on Deep Q-Network for Mobile Actor Node Control in Wireless Sensor and Actor Networks by Oda, Tetsuya, Obukata, Ryoichiro, Ikeda, Makoto, Barolli, Leonard, Takizawa, Makoto

“…A Wireless Sensor and Actor Network (WSAN) is a group of wireless devices with the ability to sense physical events (sensors) or/and to perform relatively…”
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Application of Deep Recurrent Neural Networks for Prediction of User Behavior in Tor Networks by Ishitaki, Taro, Obukata, Ryoichiro, Oda, Tetsuya, Barolli, Leonard

“…Due to the amount of anonymity afforded to users of the Tor infrastructure, Tor has become a useful tool for malicious users. With Tor, the users are able to…”
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Design of an Ambient Intelligence Testbed for Improving Quality of Life by Obukata, Ryoichiro, Oda, Tetsuya, Barolli, Leonard

“…Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with…”
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An Integrated Intelligent System for IoT Device Selection and Placement in Opportunistic Networks Using Fuzzy Logic and Genetic Algorithm by Cuka, Miralda, Elmazi, Donald, Obukata, Ryoichiro, Ozera, Kesuke, Oda, Tetsuya, Barolli, Leonard

“…The Internet is dramatically evolving and creating various connectivity methodologies. The Internet of Things (IoT) is one of these methodologies which…”
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Performance Evaluation of an AmI Testbed for Improving QoL: Evaluation Using Clustering Approach Considering Distributed Concurrent Processing by Obukata, Ryoichiro, Cuka, Miralda, Elmazi, Donald, Sakamoto, Shinji, Oda, Tetsuya, Barolli, Leonard

“…Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with…”
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Experimental Results of a Raspberry Pi Based WMN Testbed in Indoor Environment: A Comparison Study of LoS and NLoS Scenarios by Oda, Tetsuya, Elmazi, Donald, Yamada, Masafumi, Obukata, Ryoichiro, Barolli, Leonard, Takizawa, Makoto

“…Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers, because of their potential use in several fields such as…”
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A Neural Network Based User Identification for Tor Networks: Comparison Analysis of Activation Function Using Friedman Test by Oda, Tetsuya, Obukata, Ryoichiro, Yamada, Masafumi, Ishitaki, Taro, Hiyama, Masahiro, Barolli, Leonard

“…Due to the amount of anonymity afforded to users of the Tor infrastructure, Tor has become a useful tool for malicious users. With Tor, the users are able to…”
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Performance Evaluation of an Ambient Intelligence Testbed for Improving Quality of Life: Evaluation Using Clustering Approach by Obukata, Ryoichiro, Oda, Tetsuya, Elmazi, Donald, Barolli, Leonard, Matsuo, Keita, Woungang, Isaac

“…Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with…”
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Experimental Results of a Raspberry Pi Based Wireless Mesh Network Testbed Considering TCP and LoS Scenario by Oda, Tetsuya, Yamada, Masafumi, Obukata, Ryoichiro, Barolli, Leonard, Woungang, Isaac, Takizawa, Makoto

“…Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers, because of their potential use in several fields such as…”
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A Neural Network Based User Identification for Tor Networks: Comparison Analysis of Different Activation Functions Using Friedman Test by Oda, Tetsuya, Obukata, Ryoichiro, Yamada, Masafumi, Hiyama, Masahiro, Barolli, Leonard, Takizawa, Makoto

“…In this paper, we present the application of Neural Networks (NNs) for user identification in Tor networks. We used the Back-propagation NN and constructed a…”
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Performance Evaluation of an Ambient Intelligence Testbed for Improving Quality of Life: Evaluation Using Mean Shift Clustering Algorithm by Obukata, Ryoichiro, Oda, Tetsuya, Elmazi, Donald, Ikeda, Makoto, Matsuo, Keita, Barolli, Leonard

“…Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with…”
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