Yukihiro Tadokoro

Learn More
This paper proposes a new fault detection and analysis approach which can leverage incomplete prior information. Conventional data-driven approaches suffer from the problem of overfitting and result in high rates of false positives, and model-driven approaches suffer from a lack of specific information about complex systems. We overcome these problems by(More)
In the decentralized-TDMA (D-TDMA) protocol the terminals select a free slot based on the frame information (FI) included in each packet to be transmitted. However, the FI constitutes a large portion of the packet which seriously compromised the throughput of the D-TDMA. We are proposing a technique for increasing the throughput by reducing the length of(More)
When the volume of traffic on a roadway is so high such as traffic jam, medium access control (MAC) protocols in inter-vehicle communication (IVC) systems do not work well. The primary reason is the huge amount of communication traffic, which could be resolved by conventional transmission cycle control (TCC) schemes. However, when using TCC schemes, the(More)
In this letter, the concept of multiple serially-concatenated codes is invoked in the context of stochastic resonance (SR), where the achievable performance is improved by increasing noise power. More specifically, the receiver's iterative decoding process is characterized with the aid of extrinsic information transfer (EXIT) charts, such that the SR effect(More)
We show that weak periodic driving can exponentially strongly change the rate of escape from a potential well of a system driven by telegraph noise. The analysis refers to an overdamped system, where escape requires that the noise amplitude θ exceed a critical value θ(c). For θ close to θ(c), the exponent of the escape rate displays a nonanalytic dependence(More)
In the study of stochastic resonance, it is often mentioned that nonlinearity can enhance a weak signal embedded in noise. In order to give a systematic proof of the signal enhancement in nonlinear systems, we derive an optimal nonlinearity that maximizes a signal-to-noise ratio (SNR). The obtained optimal nonlinearity yields the maximum unbiased signal(More)
In the present study, we propose a novel spatio-temporal index structure for network-constrained trajectories, SNT-index --- Suffix-array-based Network-constrained Trajectory Index. The proposed method fast finds trajectories that follow a given route pattern within a certain time interval. The proposed method is based on two key concepts. The first is the(More)
—Stochastic resonance (SR) enhances system responses by increasing noise. By applying SR to a receiver , a subthreshold signal not receivable by a conventional linear receiver could be received. Previously, we proposed an analysis method of the SR receiver using a comparator, and evaluated its bit error rate performance. The comparator is known as a simple(More)