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Article
Open AccessQuantum barriers engineering toward radiative and stable perovskite photovoltaic devices
Efficient photovoltaic devices must be efficient light emitters to reach the thermodynamic efficiency limit. Here, we present a promising prospect of perovskite photovoltaics as bright emitters by harnessing t...
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Article
Open AccessProcessing Challenges and Delamination Prevention Methods in Titanium-Steel DED 3D Printing
Direct Energy Deposition (DED) 3D printing has gained significant importance in various industries due to its ability to fabricate complex and functional parts with reduced material waste, and to repair existi...
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Article
Characterizing the Performance of a Resonance-Based MEMS Particle Sensor with Glass Beads
Fine dust measurement methods, such as weight change, beta ray measurement, light scattering, and resonance change, have been studied and used, but there is still room for improvement in terms of cost, system ...
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Article
Enhancing Transportation Safety with Infrastructure Cooperative Autonomous Driving System
As self-driving cars become a reality, concerns about the safety guarantee of autonomous driving also increase. We propose an autonomous driving system that enhances its vision capacity by leveraging edge infr...
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Article
Anhysteretic high-static–low-dynamic stiffness vibration isolators with tunable inertial nonlinearity
This study proposes an anhysteretic high-static–low-dynamic stiffness (HSLDS) vibration isolator with tunable nonlinear inerters. The aim is to overcome the drawbacks of conventional HSLDS vibration isolators....
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Chapter and Conference Paper
Development of IMU Sensor-Based XGBoost Model for Patients with Elbow Joint Damage
Elbow joint damage requires rehabilitation through continuous passive motion (CPM) devices or additional surgery, underscoring the significance of effective and consistent post-surgical rehabilitation. In this...
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Chapter and Conference Paper
Development of LSTM-Based Sentence Generation Model to Improve Recognition Performance of OCR System
In recent development of deep learning algorithms, recurrent neural net-work models that can effectively reflect dependencies between input entities and LSTM models developed from them are being used in langua...
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Article
Open AccessEnhancing the reliability of particulate matter sensing by multivariate Tobit model using weather and air quality data
Low-cost particulate matter (PM) sensors have been widely used following recent sensor-technology advancements; however, inherent limitations of low-cost monitors (LCMs), which operate based on light scatterin...
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Article
Efficient vertical charge transport in polycrystalline halide perovskites revealed by four-dimensional tracking of charge carriers
Fast diffusion of charge carriers is crucial for efficient charge collection in perovskite solar cells. While lateral transient photoluminescence microscopies have been popularly used to characterize charge di...
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Article
Open AccessHarmonic balance analysis of magnetically coupled two-degree-of-freedom bistable energy harvesters
Because a magnetically coupled two-degree-of-freedom bistable energy harvester (2-DOF MCBEH) shows the rich, complicated nonlinear behaviors caused by its coupled cubic nonlinearities, understanding the dynami...
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Article
Printing of Woodpile Scaffold Using Fresnel Lens for Tissue Engineering
Tissue engineering has played a very significant role in the medical field with an ever-growing demand for various tissue donations. One crucial factor is the fabrication of a desirable artificial three-dimens...
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Chapter and Conference Paper
Research of the Deep Learning Model for Denoising of ECG Signal and Classification of Arrhythmias
In this paper, we propose a DL model that can remove noise signals and classify arrhythmias for effective ECG analysis. The proposed DL model removes noise included in the signal by inputting the ECG signal di...
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Chapter and Conference Paper
Implementation of Rehabilitation Exercise Posture Determination System Based on CNN Using EMG and Acceleration Sensors
A number of musculoskeletal disorders occur worldwide in occupations that perform physically demanding tasks. In order to treat musculoskeletal disorders, rehabilitation must be performed, but it is not easy t...
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Chapter and Conference Paper
Implementation of CNN Model for Classification of User Sitting Posture Based on Pressure Distribution
Musculoskeletal disease is often caused by sitting down for long period’s time or by bad posture habits. In order to prevent musculoskeletal disease in daily life, it is the most important to correct the bad s...
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Article
Intact 2D/3D halide junction perovskite solar cells via solid-phase in-plane growth
The solution process has been employed to obtain Ruddlesden–Popper two-dimensional/three-dimensional (2D/3D) halide perovskite bilayers in perovskite solar cells for improving the efficiency and chemical stabi...
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Article
Development of a Knowledge Discovery Computing based wearable ECG monitoring system
ECG signals contain a lot of information related to cardiac activity and play a critical role in diagnosing of heart disease. However, relying on health information monitoring with simple ECG measurement can l...
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Article
Photon recycling in halide perovskite solar cells for higher efficiencies
The efficiency of halide perovskite solar cells has progressed rapidly through a series of major breakthroughs. Currently, a certified efficiency of 25.2% has been achieved for a solar cell using a polycrystal...
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Article
Carrier-resolved photo-Hall effect
The fundamental parameters of majority and minority charge carriers—including their type, density and mobility—govern the performance of semiconductor devices yet can be difficult to measure. Although the Hall...
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Article
Efficient, stable and scalable perovskite solar cells using poly(3-hexylthiophene)
Perovskite solar cells typically comprise electron- and hole-transport materials deposited on each side of a perovskite active layer. So far, only two organic hole-transport materials have led to state-of-the-...
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Chapter and Conference Paper
Implementation of Rehabilitation Assistant System Based on Movement and Muscle Activity Information
Existing rehabilitation treatment is experience base of experts, to do a lot of treatment and training. However, in this research, we implemented a rehabilitation support system based on movement and muscle ac...
