A5066140034- Smart Grid Energy Management
- Advanced Vision and Imaging
- Microgrid Control and Optimization
- Social Robot Interaction and HRI
- Human Mobility and Location-Based Analysis
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Electron and X-Ray Spectroscopy Techniques
- Energy Load and Power Forecasting
- Interactive and Immersive Displays
- Augmented Reality Applications
- Face recognition and analysis
- Electric Vehicles and Infrastructure
- Advanced Materials Characterization Techniques
- Advanced Electron Microscopy Techniques and Applications
- Image Retrieval and Classification Techniques
- Gaze Tracking and Assistive Technology
- Virtual Reality Applications and Impacts
- Electric Power System Optimization
- Robotics and Sensor-Based Localization
- Robotics and Automated Systems
- Evacuation and Crowd Dynamics
- Optimal Power Flow Distribution
- Traffic Prediction and Management Techniques
- IoT-based Smart Home Systems
Tottori University of Environmental Studies
2022-2024
Kyushu University
2006-2022
Tottori University
2012-2015
Nara Institute of Science and Technology
2007-2011
JEOL (Japan)
2006-2009
Extended abstract of a paper presented at Microscopy and Microanalysis 2009 in Richmond, Virginia, USA, July 26 – 30,
This study proposes an artificial hummingbird algorithm (AHA) for energy management (EM) optimal operation of a microgrid (MG), including conventional sources and renewable (RES), with incentive-based demand response (DR). Due to the stochastic nature solar wind output power uncertainty prices load, probabilistic EM hybrid AHA point estimation method (PEM) is proposed model this by utilizing normal Weibull distribution functions. The PEM considered good tool handling problems. It achieves...
Traffic congestion detection systems help manage traffic in crowded cities by analyzing videos of vehicles. Existing largely depend on texture and motion features. Such face several challenges, including illumination changes caused variations weather conditions, complexity scenes, vehicle occlusion, the ambiguity stopped To overcome these issues, this article proposes a rapid reliable method based modeling video dynamics using deep residual learning trajectories. The proposed efficiently...
This paper proposes a Snake optimizer (SO) for cooperative Energy Management (EM) Multi-Microgrid (MMG) with incorporating the Demand Response (DR). The newly-developed SO algorithm is used to determine main objective of MMG operator, which reduction operating cost. inspired by snakes' mating behavior. Independence performance index (IPI) employed reduce power transactions grid. proposed technique compared conventional PSO technique; simulation results demonstrate efficacy in solving EM...
This paper presents a multi-layer, multi-objective (MLMO) optimization model for techno-economic-environmental energy management in cooperative multi-Microgrids (MMGs) that incorporates Demand Response Program (DRP). The proposed MLMO approach simultaneously optimizes operating costs, MMG operator benefits, environmental emissions, and dependency. new hybrid ε-lexicography-weighted-sum eliminates the need to normalize or scalarize objectives. first layer of schedules resources with DRP...
In recent years, online classes have been increasingly conducted in various situations. However, these classes, especially non-face-to-face and large-scale ones, it is more difficult for teachers students to understand the status of class during a lecture. To address this issue, we propose real-time learning analytics dashboard that provides summarized information on teachers' instruction students' activities lectures. article, introduce report its effectiveness through experiments an at our...
Abstract On March 20, 2005 the West off Fukuoka Prefecture earthquake (magnitude of 7.0 on JMA scale) occurred in southeastern Japan. The fault was a left-lateral strike-slip having nearly vertical plane and strike WNW-ESE direction. largest aftershock with magnitude 5.8 (JMA) followed 1 month later. To gain more detailed data, several teams from different Japanese universities jointly installed number temporary seismic stations positioned Ocean Bottom Seismometers (OBSs) immediately above...
Abstract Few electron optical inventions have revolutionized the TEM/ STEM as profoundly spherical aberration (Cs) corrector has. Characterization of technologically important materials increasingly needs to be done at atomic or even sub-atomic level. This characterization includes determination structure well structural chemistry. With Cs correctors, sub-Angstrom imaging barrier has been passed, and fast scale spectroscopy is possible. In addition improvements in resolution, correctors...
This paper proposes a novel method for generating arbitrary stereoscopic view from multiple omni directional image sequences. Although conventional methods generation with an image-based rendering approach can create binocular views, positions and directions of viewpoints vision are limited to small range. In this research, we attempt generate views sequences that captured in various paths. To high-quality number images at viewpoints, appropriate ray information needs be selected. paper, is...
Extended abstract of a paper presented at Microscopy and Microanalysis 2009 in Richmond, Virginia, USA, July 26 – 30,
The electroencephalogram (EEG) is necessary for the diagnosis of epilepsy.To make a epilepsy exactly, full EEG recording long stretch time needed.The observation record big burden doctor.To reduce this burden, computer aid important.This paper presented classifications patterns using ensemble TPunit NNs epilepsy.The classification accuracy rates proposed classifiers were found to be higher than that stand alone neural network.In addition, was previous study.The TPUnit networks highly...
In this paper, we formulate a method for minimising the expectation value of procurement cost electricity in two popular spot markets: day-ahead and intra-day, under assumption that unit prices distributions prediction errors demand traded markets are known. The total is minimised over parameters change amounts electricity. Two depend only on expected markets. That is, even if do not know predictions demand, can determine values minimise We demonstrate numerically estimate often results...
In this paper, we propose a method for forecasting power demand using meteorological data and human congestion information. an energy management system (EMS), accurate forecasts reduce the cost on side stabilize supply side. Although previously observed consumption are conventionally used demand, it is difficult to estimate in cases that greatly affected by behavior of people. Power may vary according just one person, depending size community. study, demands multiple buildings campus...
We consider the problem of short-term electricity demand forecasting in a small-scale area. Electric power usage depends heavily on irregular daily events. Event information must be incorporated into model to obtain high forecast accuracy. The fluctuation due events is considered basis function time period regression model. present several functions that extract characteristics event effect. When cannot specified, we employ fused lasso for automatic construction function. With lasso, some...
We propose an expression transmission system using a cellular-phone-type teleoperated robot called Elfoid. Elfoid has soft exterior that provides the look and feel of human skin, is designed to transmit speaker's presence their communication partner camera microphone. To presence, sends not only voice speaker but also facial captured by camera. In this research, expressions are recognized machine learning technique. cannot, however, display because its compactness lack sufficiently small...
We propose a method for constructing an interpersonal interaction system using real image-based avatar. Human-computer is important when we communicate with computers. As medium of interaction, communication robots are used commonly in the world and CG avatar virtual world. On behalf robots, android that have similar appearance to actual person can effectively transfer human presence. other hand, has advantages cost installation space as compared robots. When use communication, it increase...