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This paper presents map-based data classification for hematopoietic tumor patients. A set of squarely arranged neurons in the map is defined as a block, and previously proposed block-matching-based learning constructs the map used for data classification. This paper incorporates pseudo-learning processes, which employ block reference vectors as quasi-training data, in the above training processes...
We propose a subchannel allocation by considering multiuser diversity to reduce self interference (SI) which arises due to the destrunction of orthogonality of spreading codes in orthogonal frequency division mutiple access - code division multiplexing (OFDMA-CDM) system. The conventional OFDMA-CDM does not effectively reduce SI, since it does not consider multiuser diversity. The proposed scheme...
We propose a learning scheme for multistate complex-valued and quaternionic neural networks in order to store correlated patterns with respect to each other. This is an extension of the so-called local iterative scheme for real-valued Hopfield neural networks. We first show the stability of desired memory patterns for a multistate complex-valued network and also for the multistate quaternionic network.
A power-aware voltage-scheduling heuristic with offline and online components is presented for a hard real-time multi-processor system supporting multiple voltage levels. The offline component determines a voltage configuration for each task in a graph according to the worst-case scenario of task execution, to speed up paths with tasks. Once some path is speeded up, it next chooses and speeds up one...
This paper presents a novel position command shaping approach for the mechanical vibration suppression in mechatronic systems. Although conventional command shaping approaches can suppress the specified mechanical vibrations, mechanical and/or electrical perturbations in plant may deteriorate the motion performance. In this research, a linear matrix inequality (LMI) design framework is applied to...
A new technique is proposed to reduce the torque-ripple of the concentrated-winding interior permanent magnet motor (IPMSM) under saliency-based sensorless drive. It is based on the combination of circular-flux-barriers at the rotor-yoke and the V-shape-magnets. It is applied to 45 Nm-5.5 kW industrial drive IPMSM to fulfill the torque-ripple requirement with a large region for sensorless rotor position...
This paper proposes the video object segmentation using block-matching-based self-organization maps and a kernel function. A window covering a target object in a frame is split into units with some pixels. A vector with two elements is provided a unit to quantify its color attributes, and is presented to train a map. It is also presented to classify the units. The trained map then judges the class...
A method of classifying interneurons of silkworm moths is presented in this paper. Self-organizing maps (SOM's) are employed as tools for the classification. The maps are trained by presenting the data, each of which has a fractal dimension value, a ratio of the number of voxels after applying the erosion operation compared to that after labeling voxels, and a degree of circularity, as three elements...
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