64 Result(s)
within
Hye** Park
Engineering
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Article
ReBiT-Net: Resource-Efficient Bidirectional Transmission Network for RGB-D Salient Object Detection
Existing artificial neural network-based methodologies for salient object detection in RGB-depth (RGB-D) images typically require significant memory and computation time. In this paper, we propose ReBiT-Net, a...
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Article
Open AccessAutomatic beam optimization method for scanning electron microscopy based on electron beam Kernel estimation
Scanning Electron Microscopy (SEM) leverages electron wavelengths for nanoscale imaging, necessitating precise parameter adjustments like focus, stigmator, and aperture alignment. However, traditional methods ...
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Article
Empirical modeling of hysteresis in a tendon–sheath mechanism on multi-segmented curves
Flexible surgical robots can move with increased flexibility compared with conventional laparoscopic surgical robots, enabling surgeries along arbitrary curved paths. Because of these characteristics, flexible...
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Chapter and Conference Paper
CONCEPT OF OPERATIONS FOR THE VISORS MISSION: A TWO SATELLITE CUBESAT FORMATION FLYING TELESCOPE
The Virtual Super-resolution Optics with Reconfigurable Swarms (VISORS) is a National Science Foundation (NSF) space physics mission which will detect and study fundamental energy-release regions in the solar ...
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Article
Collaborative filtering recommendation system based on improved Jaccard similarity
Recommendation performance in collaborative filtering is significantly influenced by the selected similarity measure. The Jaccard similarity measure which considers the number of co-rated items between users h...
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Article
Development of a novel microfluidic perfusion 3D cell culture system for improved neuronal cell differentiation
Three-dimensional (3D) cell cultures have recently gained popularity in the biomedical sciences because of their similarity to the in vivo environment. SH-SY5Y cells, which are neuronal cells and are commonly use...
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Article
Influence of Stepwise Increased Organic Loading on Anaerobic Mono-digestion of Dead Fish in Sequencing Batch Reactor Process
Highly nutrient content dead fish (DF) waste can be considered a potentially valuable substrate for the anaerobic digestion (AD) to produce biogas. The effects of stepwise increased organic loading rate (OLR) ...
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Article
Enhancement of Voting Regressor Algorithm on Predicting Total Ammonia Nitrogen Concentration in Fish Waste Anaerobiosis
The available models that predict total ammonia nitrogen concentration ([TAN]) in anaerobic digestion (AD) overestimate or underestimate the inhibition effect of [TAN], making them impractical to be implemente...
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Chapter
A Study on the Usage Prediction Model of Demand Response Resource Using Machine Learning
In the Demand Response (DR) market, it is very important to predict the usage of demand response resources more accurately in real-time based on the power usage per minute. The power usage per minute is 60 in ...
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Chapter
Hybrid CNN-LSTM Based Time Series Data Prediction Model Study
Recently, with the development of deep learning technology, its application in various fields is increasing. It is also important to apply deep learning techniques to time series data prediction models. For ti...
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Article
The effects of manufacturing tolerance on the film cooling effectiveness of a laidback fan-shaped hole
In modern gas turbines, film cooling have been widely applied to protect components from hot combustion gas. Recently, a laidback fan-shaped hole has been widely applied due to its high cooling performance. Ge...
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Article
Spatio-semantic Task Recognition: Unsupervised Learning of Task-discriminative Features for Segmentation and Imitation
Discovering task subsequences from a continuous video stream facilitates a robot imitation of sequential tasks. In this research, we develop unsupervised learning of the task subsequences which does not requir...
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Article
A Generative Adversarial Network to Denoise Depth Maps for Quality Improvement of DIBR-Synthesized Stereoscopic Images
Depth map quality is an important factor that affects the quality of synthesized stereoscopic images in stereoscopic visual communication systems using the depth image-based rendering (DIBR) technique. This pa...
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Chapter and Conference Paper
ReSmart: Brain Training Games for Enhancing Cognitive Health
As human beings live longer, the number of people diagnosed with dementia is growing. Many studies have proved that dementia tends to degenerate cognitive abilities. Since dementia patients endure different ty...
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Chapter and Conference Paper
A Path-Based Personalized Recommendation Using Q Learning
Recently, knowledge graph-based personalized recommendation systems have been proposed to exploit rich structured information. In particular, knowledge graph reasoning via knowledge embedding is increasingly i...
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Article
Joint Torque Estimation Using sEMG and Deep Neural Network
With the aid of various physical and biological sensors, research is actively being conducted to understand the intention of wearer’s motions through parameters such as joint torque. sEMG signals can be measur...
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Article
Effect of process parameters on root pass welding and analysis of microstructure in V-groove pulsed gas metal arc welding for mild steel
This study performed root pass welding with a V-groove using a pulsed gas metal arc welding process for mild steel. Welding process parameters such as weaving, root gap size, and travel speed were major factor...
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Article
Characteristic evaluation of electromagnetic forming system and its application to deformation prediction in bulge forming
Electromagnetic forming (EMF) is an emerging nonconventional technology that relies on the usage of electromagnetic forces to deform a workpiece at high speed. Recently, studies on the application of EMF have ...
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Chapter and Conference Paper
Towards a Model for Serendipitous Discoveries
A serendipitous experience in information browsing stands for an unexpected information encounter that induces some creativity or new ideas. In this paper we report our ongoing project on a model for measuring...
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Chapter and Conference Paper
Improvement of QR Code Access Control System Based on Lamport Hash Chain
Access control systems are becoming important to prevent leakage of information from businesses and to prevent internal security from being breached. Existing access control systems make use of RFID technology...
