962 Result(s)
within
Chapter
**ya Sato
Computer Science
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Chapter and Conference Paper
A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys
This paper presents a new approach of data transformation and resampling for prediction of yield strength of high-entropy alloys (HEAs) at room temperature. Instead of directly predicting yield strength of HEA...
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Chapter and Conference Paper
MSKdeX: Musculoskeletal (MSK) Decomposition from an X-Ray Image for Fine-Grained Estimation of Lean Muscle Mass and Muscle Volume
Musculoskeletal diseases such as sarcopenia and osteoporosis are major obstacles to health during aging. Although dual-energy X-ray absorptiometry (DXA) and computed tomography (CT) can be used to evaluate mus...
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Chapter and Conference Paper
Analysis of Facial Expressions for the Estimation of Concentration on Online Lectures
The present study aimed to develop a method to estimate the state of attention from facial expressions while students are in online lectures. We con-ducted an experiment to measure the level of attention based...
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Chapter and Conference Paper
RoboCup2022 KidSize League Winner CIT Brains: Open Platform Hardware SUSTAINA-OP and Software
We describe the technologies of our autonomous soccer humanoid robot system that won the RoboCup2022 Humanoid KidSize League. For RoboCup2022, we developed both hardware and software. We developed a new hardwa...
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Chapter and Conference Paper
OpenACC Unified Programming Environment for Multi-hybrid Acceleration with GPU and FPGA
Accelerated computing in HPC such as with GPU, plays a central role in HPC nowadays. However, in some complicated applications with partially different performance behavior is hard to solve with a single type ...
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Chapter and Conference Paper
Creating Trust Within Population of Evolutionary Computation in an Uncertain Environment Using Blockchain
Various population-based optimization methods have been proposed following the development of evolutionary computation. Optimization is achieved through the interactions of many individuals in these systems. H...
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Chapter and Conference Paper
A Partitioned Memory Architecture with Prefetching for Efficient Video Encoders
A hardware video encoder based on recent video coding standards such as HEVC and VVC needs to efficiently handle a massive number of memory accesses to search motion vectors. To this end, first, this paper pre...
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Chapter and Conference Paper
Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things
Internet of things (IoT) applications deploy massive number of sensors to monitor the system and environment. Anomaly detection on streaming sensor data is an important task for IoT maintenance and operation. ...
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Chapter and Conference Paper
Automated Ontology Generation
Ontologies are human- and machine-readable conceptualizations that define domain concepts and their relationships. The context provided by these representations are essential for advanced reasoning application...
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Chapter and Conference Paper
Morphological Analysis of Nineteenth-Century Cairo
This study analysed the structure of urban spaces in historic Cairo in the nineteenth century based on the connectivity between streets and living spaces. Conventional studies on the urban fabric of historic C...
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Chapter and Conference Paper
PSO with Local Search Using Personal Best Solution for Environments with Small Number of Particles
Particle swarm optimization (PSO) has been actively studied as an effective search method using populations. The basis of search algorithms using particle swarms is efficient convergence from exploiting the ab...
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Chapter and Conference Paper
Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry
Recent advances in non-invasive brain function measurement technologies, such as functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG), and the development of machine learning technique...
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Chapter and Conference Paper
Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning
Deep learning is a vital technology in our lives today. Both the size of training datasets and neural networks are growing to tackle more challenging problems with deep learning. Distributed deep neural networ...
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Chapter and Conference Paper
Real-Time Adaptive Physical Sensor Processing with SNN Hardware
Spiking Neural Networks (SNNs) offer bioinspired computation based on local adaptation and plasticity as well as close biological compatibility. In this work, after reviewing the Hardware Emulator of Evolving ...
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Chapter and Conference Paper
QBRT: Bias and Rising Threshold Algorithm with Q-Learning
In multi-agent reinforcement learning, the problems of non-stationarity of the environment and scalability have long been recognized. As a first step toward solving these problems, this paper proposes a learni...
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Chapter and Conference Paper
Deep Robust Neural Networks Inspired by Human Cognitive Bias Against Transfer-based Attacks
In recent years, with the proliferation of cloud services, the threat of Transfer-based attacks, a type of Adversarial attacks, has increased. Adversarial Training is known as an effective defense against this...
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Chapter and Conference Paper
Feature-Robust Optimal Transport for High-Dimensional Data
Optimal transport is a machine learning problem with applications including distribution comparison, feature selection, and generative adversarial networks. In this paper, we propose feature-robust optimal tra...
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Chapter and Conference Paper
A Tightly Secure Identity-Based Signature Scheme from Isogenies
We present a tightly secure identity-based signature (IBS) scheme based on the supersingular isogeny problems. Although Shaw and Dutta proposed an isogeny-based IBS scheme with provable security, the security ...
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Chapter and Conference Paper
Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling
For an efficient upconvert of the Pareto front resolution by utilizing a known candidate solution set, this paper proposed an algorithm that built the Pareto front and the Pareto set estimation models and repe...
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Chapter and Conference Paper
Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes
This paper investigated the impacts of multi-objectivization on solving combinatorial single-objective NK-landscape problems with multiple funnel structures. Multi-objectivization re-formulates a single-objective...
