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Yoshito Tobe

Publications and source records attributed to Yoshito Tobe.

4 recordsLinked to original sources

Admissible Unit Range of Plug-and-Play Distributed Energy Resource (DER) Systems Under Delay: A Scalable Design Framework

This paper addresses the fundamental design problem of plug-and-play distributed energy resource (DER) systems, which are emerging as a scalable solution for integrating distributed generation through user-driven connection of modular units. In such systems, the number of connected units is not fixed but dynamically varies due to user operation and system conditions, requiring stability and operational constraints to be guaranteed over a range of system sizes rather than for a single configuration. To address this challenge, we propose the Plug-in DER Orchestrated Grid (PDOG) and develop a normalized analytical framework in terms of normalized delay and aggregate loop gain. This formulation enables explicit characterization of the stability boundary together with a lower bound derived from the no-reverse-power constraint, defining a feasible region for system operation. By mapping this feasibility condition into the number of DER units, the admissible range of connectable units is obtained as a function of delay. The analysis reveals a fundamental trade-off: while the theoretical stability limit increases with normalized delay, implementation-induced gain amplification reduces the practical hosting capacity. As a result, the admissible system size exhibits a non-monotonic dependence on delay, and a feasibility boundary may emerge beyond which no admissible system size exists. These results provide explicit design guidelines for determining the number of DER units under delay and implementation constraints, establishing a new paradigm in which system scalability is explicitly constrained and engineered.

eess.SY

DH-EAC: Design of a Dynamic, Hierarchical Entanglement Access Control Protocol

We propose Dynamic, Hierarchical Entanglement Access Control (DH-EAC), a pure-quantum protocol for fair and anonymous allocation of scarce entanglement across wide-area quantum networks composed of many quantum LANs (QLANs). Prior Dicke-state-based pure-quantum MACs resolve contention by local measurements without classical signaling, but they mainly target a single QLAN under static conditions; extending them to wide-area, dynamic settings while avoiding post-selection reconciliation remains open. DH-EAC adopts a two-layer pure-quantum lottery: the outer layer selects winning QLANs and the inner layer selects winning nodes within each winning QLAN. A key design principle is that both the winning set and the per-QLAN quota are fixed by measurements alone, so the contention loop requires no classical round trip. The protocol thus aims to jointly satisfy anonymity (no node IDs revealed until decisions are fixed) and fairness (bias suppression under heterogeneous QLAN sizes). We also provide analytical models for success probability and latency under a standard i.i.d. loss model, and we evaluate DH-EAC against two baselines - single-layer Dicke within one QLAN and a classical GO-driven allocator - using a minimal, reproducible set of scenarios. Metrics include success probability, end-to-end latency, throughput, and Jain's fairness index. The results indicate that DH-EAC offers an implementable design point in the space of entanglement access control, balancing pure-quantum contention resolution, anonymity, and scalability for multi-QLAN networks.

cs.NI

Heart Rate Variability as an Indicator of Thermal Comfort State

Thermal comfort is a personal assessment of one's satisfaction with the surroundings. Yet, most thermal comfort delivery mechanisms preclude physiological and psychological precursors to thermal comfort. Accordingly, many people feel either cold or hot in an environment that is supposedly thermally comfortable to most people. To address this issue, this paper proposes to use people's heart rate variability (HRV) as an alternative indicator of thermal comfort. Since HRV is linked to homeostasis, we hypothesize that it could be used to predict people's thermal comfort status. To test our hypothesis, we analyzed statistical, spectral, and nonlinear HRV indices of 17 human subjects doing light office work in a cold, a neutral, and a hot environment. The resulting HRV indices were used as inputs to machine learning classification algorithms. We observed that HRV is distinctively altered depending on the thermal environment and that it is possible to steadfastly predict each subject's thermal environment (cold, neutral, and hot) with up to a 93.7% prediction accuracy. The result of this study implies that it could be possible to design automatic real-Time thermal comfort controllers based on people's HRV.

q-bio.OT

An Extended Network Coding Opportunity Discovery Scheme in Wireless Networks

Network coding is known as a promising approach to improve wireless network performance. How to discover the coding opportunity in relay nodes is really important for it. There are more coding chances, there are more times it can improve network throughput by network coding operation. In this paper, an extended network coding opportunity discovery scheme (ExCODE) is proposed, which is realized by appending the current node ID and all its 1-hop neighbors' IDs to the packet. ExCODE enables the next hop relay node to know which nodes else have already overheard the packet, so it can discover the potential coding opportunities as much as possible. ExCODE expands the region of discovering coding chance to n-hops, and have more opportunities to execute network coding operation in each relay node. At last, we implement ExCODE over the AODV protocol, and efficiency of the proposed mechanism is demonstrated with NS2 simulations, compared to the existing coding opportunity discovery scheme.

cs.NI