62 citations · 92 across the 14 of their papers we have counts for
14 papers
Logic-Free Building Automation: Learning the Control of Room Facilities with Wall Switches and Ceiling Camera
Hideya Ochiai, Kohki Hashimoto, Takuya Sakamoto +5
Artificial intelligence enables smarter control in building automation by its learning capability of users' preferences on facility control. Reinforcement learning (RL) was one of…
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
Hideya Ochiai, Riku Nishihata, Eisuke Tomiyama +2
Anomaly detection is an important function in IoT applications for finding outliers caused by abnormal events. Anomaly detection sometimes comes with high-frequency data sampling w…
Flowsim: A Modular Simulation Platform for Microscopic Behavior Analysis of City-Scale Connected Autonomous Vehicles
Ye Tao, Ehsan Javanmardi, Jin Nakazato +2
As connected autonomous vehicles (CAVs) become increasingly prevalent, there is a growing need for simulation platforms that can accurately evaluate CAV behavior in large-scale env…
zk-PoT: Zero-Knowledge Proof of Traffic for Privacy Enabled Cooperative Perception
Ye Tao, Yuze Jiang, Pengfei Lin +2
Cooperative perception is an essential and widely discussed application of connected automated vehicles. However, the authenticity of perception data is not ensured, because the ve…
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
Naoya Tezuka, Hideya Ochiai, Yuwei Sun +1
Wireless ad hoc federated learning (WAFL) is a fully decentralized collaborative machine learning framework organized by opportunistically encountered mobile nodes. Compared to con…
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning
Hideya Ochiai, Yuwei Sun, Qingzhe Jin +2
Privacy-sensitive data is stored in autonomous vehicles, smart devices, or sensor nodes that can move around with making opportunistic contact with each other. Federation among suc…
WebRTC-based measurement tool for peer-to-peer applications and preliminary findings with real users
Kosuke Nakagawa, Manabu Tsukada, Keiichi Shima +1
Direct peer-to-peer (P2P) communication is often used to minimize the end-to-end latency for real-time applications that require accurate synchronization, such as remote musical en…
MAC address randomization tolerant crowd monitoring system using Wi-Fi packets
Yuyi Cai, Manabu Tsukada, Hideya Ochiai +1
Media access control (MAC) addresses inside Wi-Fi packets can be used for beneficial activities such as crowdedness estimation, marketing, and hazard maps. However, the MAC address…
Misbehavior Detection Using Collective Perception under Privacy Considerations
Manabu Tsukada, Shimpei Arii, Hideya Ochiai +1
In cooperative ITS, security and privacy protection are essential. Cooperative Awareness Message (CAM) is a basic V2V message standard, and misbehavior detection is critical for pr…
Reinforcement Learning Based Optimal Camera Placement for Depth Observation of Indoor Scenes
Yichuan Chen, Manabu Tsukada, Hiroshi Esaki
Exploring the most task-friendly camera setting -- optimal camera placement (OCP) problem -- in tasks that use multiple cameras is of great importance. However, few existing OCP so…
Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks
Yuwei Sun, Hideya Ochiai, Hiroshi Esaki
The rapidly increasing number of smart devices on the Internet necessitates an efficient inspection system for safeguarding our networks from suspicious activities such as Address…
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
Yuwei Sun, Hideya Ochiai, Hiroshi Esaki
Wider coverage and a better solution to a latency reduction in 5G necessitate its combination with multi-access edge computing (MEC) technology. Decentralized deep learning (DDL) s…
AutoMCM: Maneuver Coordination Service with Abstracted Functions for Autonomous Driving
Masaya Mizutani, Manabu Tsukada, Hiroshi Esaki
A cooperative intelligent transport system (C-ITS) uses vehicle-to-everything (V2X) technology to make self-driving vehicles safer and more efficient. Current C-ITS applications ha…
Software Defined Media: Virtualization of Audio-Visual Services
Manabu Tsukada, Keiko Ogawa, Masahiro Ikeda +6
Internet-native audio-visual services are witnessing rapid development. Among these services, object-based audio-visual services are gaining importance. In 2014, we established the…