105 Result(s)
within
Artificial Intelligence
Computer Communication Networks
**ya Sato
Chapter
Conference Paper
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Chapter and Conference Paper
Study on Sharing Health Guidance Contents Using Health Guidance Visualization System
In Japan, “Specific Health Checkups” and “Specific Health Guidance” are implemented to prevent lifestyle-related diseases [1]. In the specific health guidance, health professionals (e.g., public health nurses and...
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Chapter and Conference Paper
QWalkVec: Node Embedding by Quantum Walk
In this paper, we propose QWalkVec, a quantum walk-based node embedding method. A quantum walk is a quantum version of a random walk that demonstrates a faster propagation than a random walk on a graph. We foc...
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Chapter and Conference Paper
The Relationship Between Older Drivers’ Cognitive Ability and Takeover Performance in Conditionally Automated Driving
In takeover process of conditionally automated driving, cognitive abilities, especially the executive function abilities, are found to play a significant role in driver’s performance. During the automated driv...
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Chapter and Conference Paper
A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysis
Business processes are sequences of activities performed to achieve a specific goal, e.g., applying a clinical protocol to a patient. Process mining provides tools and techniques for analyzing and enhancing bu...
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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
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
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
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
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
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...
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Chapter and Conference Paper
Improving Local Fidelity of LIME by CVAE
Knowing the basis of decisions is essential for using Machine Learning (ML) in various regions, such as medical diagnosis, automated driving, and organizational decision-making. The LIME algorithm is an XAI me...
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Chapter and Conference Paper
Understanding Travel Behaviors and Develo** a User-Centered Design of the Residential Mobility Using a Persona-Based Approach
This paper describes a persona-based investigation of travel behaviors of residential people. This research aims to develop mobility services based on real travel behaviors and the needs of the community resid...
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Chapter and Conference Paper
Tourists Preferred Streets Visualization Using Articulated GPS Trajectories Driven by Mobile Sensors
Although there has been a lot of research on GPS big data analysis to discover the preferred spots and destinations for tourists, discovering the preferred streets also plays an important role in improving tou...
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Chapter and Conference Paper
Human Factor Issues in Remote Operator of Automated Driving System for Services - One Operator to N Units of Automated Vehicles in Automated Vehicle Services -
Vehicle automation is expected for future society. Automated driving systems will be implemented in mobility services including public transport. In this study, we focus on automation for mobility service and ...
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Chapter and Conference Paper
Tracing People’s Experiences with Registrated Spatio-Temporal Photographs in AR Spaces
We propose a new style smartphone application that presents past photographs in AR (Augmented Reality) at the location in the real world where they were taken. The application consists of a process that provid...
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Chapter and Conference Paper
Analysis of Nonverbal Interaction Among Competitive Ballroom Dance Couple
This paper describes an empirical study that investigated non-verbal interactions among a competitive ballroom dance couple. We proposed a new methodology for empirical dance research, which combines the preci...
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Chapter and Conference Paper
Deep Learning-Based COVID-19 Diagnostics of Low-Quality CT Images
Mass testing of the population is among the most effective measures to combat the COVID-19 pandemic. Among existing diagnostic methods, deep learning-based solutions have the potential to be affordable, quick ...
