508 Result(s)
within
Chapter
**ya Sato
Computer Science
Artificial Intelligence
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Chapter and Conference Paper
Can Machines and Humans Use Negation When Describing Images?
Can negation be depicted? It has been claimed in various areas, including philosophy, cognitive science, and AI, that depicting negation through visual expressions such images and pictures is challenging. Rece...
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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
Framework for Measuring the Similarity of Visual and Semantic Structures in Sign Languages
Sign languages are visual languages used by deaf and hard of hearing communities worldwide. As sign languages have been manually designed in an optimal visual and semantic aspect, these two representations are...
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Chapter and Conference Paper
Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study
Anomaly detection is a critical aspect of uncovering unusual patterns in data analysis. This involves distinguishing between normal patterns and abnormal ones, which inherently involves uncertainty. This paper...
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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
Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation
This study aims to compare the automatic classification of emotions based on the self-reported level of arousal and valence with the Self-Assessment Manikin (SAM) when subjects were exposed to videos or images...
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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
Wearable Device Supporting Light/Dark Adaptation
Human eyes maintain visual function by adapting to changes in brightness. There are two types of adaptation to changes in brightness. Light and dark adaptations occur when the surroundings become bright and da...
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Chapter and Conference Paper
Temporal Graph Based Incident Analysis System for Internet of Things
Internet-of-things (IoTs) deploy massive number of sensors to monitor the system and environment. Anomaly detection on sensor data is an important task for IoT maintenance and operation. In real applications, ...
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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
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
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...
