Shigeru Shimamoto’s research while affiliated with Waseda University and other places

... While the literature on toll plaza operations is rich, it has largely overlooked the integration of real-time traffic data with advanced predictive models for optimizing boom barrier management. Previous studies have mainly focused on traffic simulation-based approaches, often using idealized traffic conditions that do not fully represent real-world traffic dynamics [14,15]. Additionally, these studies rarely explore the simultaneous effects of open-barrier and closed-barrier systems in both MTC and ETC lanes, nor do they consider the financial and environmental implications of unauthorized crossings in openbarrier systems [16]. ...

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Adaptive Boom Barrier Management at ETC Toll Plazas Using Predictive Analytics

... It briefly discusses the communication and perception performance of OTFS-ISAC relative to OFDM. Reference [20] proposed a novel Doppler positioning scheme in HST scenarios, which arranges access points (APs) connected to base stations on the trackside and utilizes fractional Doppler estimation in OTFS to achieve higher positioning and velocity estimation accuracy, with lower requirements for bandwidth and hardware. ...

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Research on an Algorithm for High-Speed Train Positioning and Speed Measurement Based on Orthogonal Time Frequency Space Modulation and Integrated Sensing and Communication

... The simulation parameters are assumed as W = 2.5 m [50], r = 0.28 A/W [51], N 0 = 10 −21 A 2 /Hz [52], and η = 0.5 W/A [39,50], B = 10 MHz [51,53]. Receiver diameters considered are D r = 1 cm, 2 cm, 3 cm, 4 cm, which are commercially available as in [19,54]. ...

Reference:

Enhancing Vehicular VLC Systems with Multi-Relay Techniques: A Performance Evaluation

... Performance of multi-user selective FSO/RF systems have been investigated in few works the literature [416]- [420]. Downlink transmission has been considered in [416]- [419] , while the uplink scenario has been considered in [420] only. ...

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A Survey on Hybrid Free Space Optical and Radio Frequency Systems: Classification, Progress, Observations and Challenges

... Along with the physical advantages, AESA-based radars are more resistant to electronic jamming. In other applications, such as using unmanned aerial vehicles (UAVs) for remote sensing [8][9][10], communication with UAVs is made better by using airborne vehicle-based antenna arrays [11]. ...

Reference:

Radio Path Circuitry of a Novel Transceiver Module of a Promising VHF Digital AESA

... Therefore, the hybrid MAC Protocol for UAV system has been discussed by the researchers in [70]. These protocols include: Location-Oriented Directional MAC protocol (LODMAC) [63], FANET multi-channel MAC protocol (FM-MAC) [64], collision coordination-based MAC protocol (CC-MAC) [65] and collision-free MAC protocol (CF-MAC) [66]. Therefore, this subsection gives the brief summary of all those hybrid protocols which are illustrated in Fig. 3. ...

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Review of Protocol Stack Development of Flying Ad-hoc Networks for Disaster Monitoring Applications

... Gu et al. [15] >500 m WiFi Layout a large number of WiFi around the road Real Wireless network-assisted VTR method Owen et al. [16] 20 m Cellular device measusing TDoA Covered by signals from base stations (BSs) Simulated Rosado et al. [17] 30 The widespread deployment of wireless communication networks has facilitated significant advancements in utilizing wireless signal channel characteristics to address realworld challenges [26]- [32]. The wireless network-assisted VTR method leverages periodic signals from wireless communication devices (e.g., mobile phones, car telephones, mobile routers) on vehicles to determine vehicle trajectories at predefined time intervals. ...

Reference:

Trajectory Map-Matching in Urban Road Networks Based on RSS Measurements

... In [34], the author combined Fibonacci search and OMP together to estimate the channel with fractional delay and Doppler characteristics. Along with deep learning developing rapidly in recent years, scholars have also carried out some work to introduce deep learning into OTFS channel estimation field [35][36][37][38][39]. Hu J. et al. combined the time-domain method and deep learning method together in [40], with low complexity and good flexibility. ...

Reference:

Adaptive Channel Estimation Based on Multidirectional Structure in Delay-Doppler Domain for Underwater Acoustic OTFS System

... The process involves alternating between updating Θ and adjusting P to maximize the performance metric P m . This iterative optimization ensures both phase shift alignment and optimal resource allocation, making the system adaptive to dynamic wireless environments [34]. ...

Reference:

Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning

... Furthermore, at the 2022 IEEE 4th Global Conference on Life Sciences and Technologies, scholars from Waseda University presented gloves equipped with finger flexion sensors and an inertial measurement unit to capture palm-acquired accelerations and angular velocities. Employing a variety of machine learning algorithms, the researchers achieved impressive accuracy percentages for the Japanese alphabet: SVM (99%); decision tree (94.25%); random forest (99.75%); and K-nearest neighbors (99.75%) [7]. ...

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Design of a Sign Language-to-Natural Language Translator Using Artificial Intelligence