Research works

Symmetry-Based Hybrid Winding Optimization Method for Reducing Position Error in a 12-4X Variable Reluctance Resolver

This paper proposes a computationally efficient winding optimization method for reducing the position error of variable reluctance resolvers. In practical resolver design, ideal signal-winding turns are generally noninteger and must be rounded for manufacturing, causing winding-t...

Evaluation of Flashover Voltage and Proposal of Management Criteria Based on Critical Pollution Level for Indoor Switchgear Post Insulators

Indoor switchgear is generally considered low-risk for pollution; however, dust and salt can accumulate on insulator surfaces during long-term operation, raising flashover risk under humid conditions. This study evaluated soluble and non-soluble pollution effects on 12 kV-class e...

Small-sample fault diagnosis of the dual-cycle dehumidifier based on its operating mechanism

The dual-cycle dehumidifier is an emerging system integrating refrigeration and dehumidification via an additional cooling coil and plate heat exchanger (PHE), with broad application prospects in data centers and commercial buildings. However, its complex structure and limited fa...

Parallel DBSCAN-HDBSCAN Clustering and PRPD Similarity Verification for Partial Discharge Diagnostic under Non-Uniform Pulse Density

In partial discharge (PD) monitoring systems, multiple PD sources and external noise can be simultaneously detected, resulting in different numbers and densities of pulses depending on the signal source. This paper proposes an automatic PD diagnosis method based on dual density-b...

A decomposition-assisted deep ensemble framework for interpretable total nitrogen forecasting across multiple reservoir systems

Forecasting total nitrogen (TN) across multiple reservoirs remains challenging because nutrient dynamics are nonlinear, non-stationary, and influenced by interacting hydrological, climatic, and biogeochemical processes. This study proposes a CEEMDAN-enhanced Deep Hybrid Ensemble...

An integrated framework for breast cancer diagnosis using adaptive DeepLabv3+ for segmentation and attention-based multiscale EfficientNetB7 for classification

Breast cancer is the primary health concern for women around the world. An advanced deep learning mechanism is proposed in this work for recognizing breast cancer disease. The proposed model initially processes image collection, where significant tomography images are gathered fr...

Economic Analysis of Electrode Boilers for District Energy Business: A Comparison of CHP-coupled and Independent Models

This study analyzes the economic feasibility of electrode boilers as Power-to-Heat in Korean district energy under two configurations. BM 1 couples an electrode boiler to a CHP plant, easing its heat burden and raising electricity sales margin; a breakeven price condition derived...

Improvement of the Safety Verification Framework for Electric Vehicle DC Charging Facilities Considering Protection Function Verification

Ensuring the safety of electric vehicle DC charging facilities requires not only verification of the conditions of installed facilities but also consideration of the verification scope for DC output-side insulation monitoring and fault-response protective functions. This study co...

Deep Learning-based Fuel Oil Consumption Prediction for Twin-screw Ship

With growing pressure from the International Maritime Organization (IMO) to reach net-zero emissions by 2050, accurate prediction of ship Fuel Oil Consumption (FOC) has become increasingly important. Although numerous deep learning-based FOC prediction models have been proposed,...

Physics-Informed Ultrasonic C-scan Data Augmentation for Defect Detection in Metal Additive Manufacturing Parts

Metal additive manufacturing can introduce internal defects such as porosity, inclusions, and cracks, yet supervised ultrasonic C-scan detectors are hard to deploy at process introduction, where labeled images are scarce and rare defect classes are imbalanced. We propose a physic...

Sequential Adaptive Natural Density Partitioning (AdNDP) Systematically Produces Non-N-Representable Densities

Adaptive natural density partitioning (Ad-NDP) sequentially extracts fragment natural orbitals from the one-electron density matrix. Herein, we show, with an exact and basisindependent argument, that the residual density left behind after two non-orthogonal bonding elements are e...

Parsing-guided Prompt Design for Clothes-Changing Person Re-Identification with CLIP

Clothes-changing person re-identification aims to identify the same person under clothing changes, where conventional re-identification methods suffer from significant performance degradation due to the variation of clothing, which is one of the primary discriminative cues. Recen...

Offensive unpredictability and defensive tracking in intergroup conflict show sex-differentiated patterns

Intergroup conflict poses asymmetric strategic demands: acquiring resources through offense benefits from behavior that opponents cannot easily anticipate, whereas protecting resources through defense requires monitoring opponents and adjusting to threats. Analyzing behavioral da...

State-Space Modeling and Controller Design of a High Efficiency Boost Converter Utilizing Leakage Inductance and Magnetic Clamp Coupling

This paper proposes a novel high efficiency, high step-up boost converter and its precise modeling technique, utilizing a magnetic clamp structure to suppress leakage inductance surges and efficiently recover energy. Under identical load conditions, the converter exhibits a uniqu...

Regional Bid Adjustment Incentives of a Dominant Buyer under Introduction of Demand Bidding and Locational Pricing

Korea is introducing demand-side bidding and locational pricing in its wholesale power market. Currently demand is set by the operator's forecast, so the buyer cannot influence the price; once demand bidding is allowed, the submitted quantity becomes the buyer's choice, and KEPCO...

Structural Safety Assessment of a 15,000TEU Container Ship Considering an Increased Scallop Radius

The hull structure is assembled by welding plates and stiffeners, and welding efficiency plays a critical role in ship production. Scallops are widely incorporated into hull structures to enhance welding efficiency; however, the resulting reductions in cross-sectional area and se...

The effect of three- and six-session prenatal haptonomy on pregnancy-related anxiety, distress, and psychological well-being: A randomized controlled trial

This randomized controlled trial examined the effects of prenatal haptonomy on pregnancy-related anxiety, distress, and psychological well-being. A total of 102 pregnant women were randomly assigned to a three-session haptonomy group, a six-session haptonomy group, or a control g...

Fungal frontiers for sustainability: unlocking the hidden kingdom

Fungi have repeatedly delivered transformative advances across industries, from medicine to food to materials, yet these breakthroughs have emerged from a narrow base of organisms and well-studied systems. Although mycology has taken a big leap forward in the past decades because...

A novel chatter-resistant boring bar design with lattice structure and non-Newtonian fluid

Due to the low dynamic stiffness of long boring bars, chatter is a significant challenge for boring operations, resulting in poor surface finish and reduced tool life. Various passive chatter suppression techniques have been developed to enhance their dynamic performance, includi...

Interactions between microplastics from agricultural films and soil in regulating atrazine adsorption: A mechanistic and environmental relevance study

The widespread application of agricultural films has resulted in the accumulation of microplastics (MPs) in soils, creating a coexistence with pesticides like atrazine. This study investigates the environmentally relevant interactions between field-aged polyethylene agricultural...