Explanipedia

Integrated Modeling of Wildfire Ignition Risk in the Military–Civilian Interface of the Korean DMZ Open

Sujung Heo, Sujung Ahn, Song Han, Sung Eun, Minsu Jang , et al. · 2025

Military–civilian interface zones (MCIZs) adjacent to the Korean Demilitarized Zone (DMZ) represent complex wildfire environments shaped by restricted access, intensive military activities, and adjacent civilian land use. This study develo…

FineServe: Precision-Aware KV Slab and Two-Level Scheduling for Heterogeneous Precision LLM Serving Open

Kyungmin Bin, Seungbeom Choi, Joo‐Hiuk Son, Jieun Choi, Doobyong Bae , et al. · 2025

Recent advances in Post-Training Quantization (PTQ) techniques have significantly increased demand for serving quantized large language models (LLMs), enabling higher throughput and substantially reduced memory usage with minimal accuracy …

SPARTA: Advancing Sparse Attention in Spiking Neural Networks via Spike-Timing-Based Prioritization Open

Minsu Jang, Changick Kim · 2025

Current Spiking Neural Networks (SNNs) underutilize the temporal dynamics inherent in spike-based processing, relying primarily on rate coding while overlooking precise timing information that provides rich computational cues. We propose S…

Development and validation of heat resistant rolling and deformation absorbing nozzle necks for friction and reaction force reduction Open

Yeon-Gwan Lee, Minsu Jang · 2025

Parking Path Optimization Model for Parking Robots Based on Vehicle Specifications Open

Minsu Jang, Sunghee LEE, Jooyoung Kim · 2025

Transformer-Based Deep Learning Approach for Wildfire Burn Severity Estimation Using Drone Imagery in South Korea Open

Youngmin Seo, Nam Gyun Kim, Chan Ho Yeom, Minsu Jang, Sun Jeoung Lee , et al. · 2024

Health promotion interventions for children and adolescents using e-health: a systematic review Open

Eun-Young Bae, Minsu Jang · 2024

Background The utilization of e-health in healthcare interventions has become increasingly prevalent due to its cost-effectiveness. Nevertheless, there is a paucity of evidence regarding the use of e-health in children, as the majority of …

Evaluating Human-Care Robot Services for the Elderly: An Experimental Study Open

Miyoung Cho, Do‐Hyung Kim, Minsu Jang, Jaeyeon Lee, Jae‐Hong Kim , et al. · 2024

The increase in elderly population is emerging as a serious social issue. The coronavirus pandemic has increased the number of elderly people suffering from depression and loneliness owing to the lack of face-to-face activities. In this st…

Model Comparison for Fast Domain Adaptation in Table Service Scenario Open

Woo‐han Yun, Minsu Jang, Jae‐Hong Kim · 2024

In restaurants, many aspects of customer service, such as greeting customers, taking orders, and processing payments, are automated. Due to the various cuisines, required services, and different standards of each restaurant, one challengin…

LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents Open

Jae-Woo Choi, Youngwoo Yoon, Hyobin Ong, Jaehong Kim, Minsu Jang · 2024

Large language models (LLMs) have recently received considerable attention as alternative solutions for task planning. However, comparing the performance of language-oriented task planners becomes difficult, and there exists a dearth of de…

Friction Reduction in Nozzle Necks Through Rolling Structures and Deformation Absorbing Design Approaches Open

Yeon-Gwan Lee, Minsu Jang · 2024

3D Rendering and Deep Learning-based Mine Burial Rate Measurement Open

Minsu Jang, Yonghoon Ha · 2023

본 연구에서는 3D 렌더링과 딥러닝 기술을 활용해 기뢰 매몰률을 측정하는 방법을 개발하였다. 기뢰는 해군에게 큰 위협이 되며, 해저에 매몰될 경우 탐지하기 어렵다. 현장에서의 기뢰 매몰률 측정은 다양한 제약 조건과 비용이 발생하기 때문에 이를 대체할 효율적인 방법이 필요하다. 본 연구에서는 MDM-1 기뢰의 3D 렌더링 데이터 1,246개를 활용하여 딥러닝 모델인 YOLOv8s를 학습시켰으며, 이를 통해 [email protected] 수치는…

Design and Evaluation of an Uncertainty-Aware Shared-Autonomy System with Hierarchical Conservative Skill Inference Open

Taewoo Kim, Dong‐Hyung Kim, Minsu Jang, Jaehong Kim · 2023

Shared-autonomy imitation learning lets a human correct a robot in real time, mitigating covariate-shift errors. Yet existing approaches ignore two critical factors: (i) the operator's cognitive load and (ii) the risk created by delayed or…

Discussion and Fairness in a Laboratory Voting Experiment – ADDENDUM Open

Jonathan Woon, Minsu Jang, Kira Pronin, Jacob Schiller · 2023

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.

Discussion and Fairness in a Laboratory Voting Experiment Open

Jonathan Woon, Minsu Jang, Kira Pronin, Jacob Schiller · 2023

We conduct a laboratory experiment to investigate whether public discussion before a majority vote increases the saliency of minority interests and results in more egalitarian outcomes or whether voters use discussion to form majorities th…

A Deep Learning Based Real-Time Computational Method for Transcranial Focused Ultrasound Guidance System Open

Minkyu Choi, Minsu Jang, Geontae Noh · 2023

In this paper, we present a method for surrogate model of transcranial focused ultrasound (tFUS) propagation problem using deep learning technique.The trained neural network outputs an acoustic source position of transducer placement.The t…

An Analysis of Quality Attributes and Service Satisfaction for Artificial Intelligence-based Guide Robot Open

Miyoung Cho, Jaehong Kim, Daeha Lee, Minsu Jang · 2023

This issue is a compendium dedicated to the instruction, experience, ideas, and theories that have evolved from using Kano's methods within CQM companies.

Editorial Introduction to Special Issue on Machine Learning for Social Human-Robot Interaction Open

Minsu Jang, Ho Seok Ahn, JongSuk Choi · 2023

Editorial: Social human-robot interaction (sHRI) of human-care service robots Open

Minsu Jang, JongSuk Choi, Ho Seok Ahn, Chung Hyuk Park · 2022

EDITORIAL article Front. Robot. AI, 06 December 2022Sec. Biomedical Robotics Volume 9 - 2022 | https://doi.org/10.3389/frobt.2022.1064440

Nonverbal Social Behavior Generation for Social Robots Using End-to-End Learning Open

Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim · 2022

To provide effective and enjoyable human-robot interaction, it is important for social robots to exhibit nonverbal behaviors, such as a handshake or a hug. However, the traditional approach of reproducing pre-coded motions allows users to …

Technical Methods for Social Robots in Museum Settings: An Overview of the Literature Open

Mehdi Hellou, JongYoon Lim, Norina Gasteiger, Minsu Jang, Ho Seok Ahn · 2022

Robots have become increasingly present in our daily lives, and we see several settings wherein this technology might positively impact people. One of these settings, and the focus of this paper, is the museum. This paper provides an overv…

Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods Open

Mehdi Hellou, Norina Gasteiger, Jong Yoon Lim, Minsu Jang, Ho Seok Ahn · 2021

Personalization and localization are important when developing social robots for different sectors, including education, industry, healthcare or restaurants. This allows for an adjustment of robot behaviors according to the needs, preferen…

Editorial: Special issue on social human–robot interaction for human-care robots Open

Minsu Jang, Ho Seok Ahn, JongSuk Choi, Franziska Kirstein, Luis Yoichi · 2021

VOTE400(Voide Of The Elderly 400 Hours): A Speech Dataset to Study Voice Interface for Elderly-Care Open

Minsu Jang, Sang-Won Seo, Dohyung Kim, Jaeyeon Lee, Jae‐Hong Kim , et al. · 2021

This paper introduces a large-scale Korean speech dataset, called VOTE400, that can be used for analyzing and recognizing voices of the elderly people. The dataset includes about 300 hours of continuous dialog speech and 100 hours of read …

Speech gesture generation from the trimodal context of text, audio, and speaker identity Open

Youngwoo Yoon, Bok Cha, Joo-Haeng Lee, Minsu Jang, Jaeyeon Lee , et al. · 2020

For human-like agents, including virtual avatars and social robots, making proper gestures while speaking is crucial in human-agent interaction. Co-speech gestures enhance interaction experiences and make the agents look alive. However, it…

AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots Open

Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim · 2020

To better interact with users, a social robot should understand the users' behavior, infer the intention, and respond appropriately. Machine learning is one way of implementing robot intelligence. It provides the ability to automatically l…

ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly Open

Jinhyeok Jang, Dohyung Kim, Cheonshu Park, Minsu Jang, Jaeyeon Lee , et al. · 2020

Deep learning, based on which many modern algorithms operate, is well known to be data-hungry. In particular, the datasets appropriate for the intended application are difficult to obtain. To cope with this situation, we introduce a new da…

Session 9 Overview: Noise-Shaping ADCs: Data Converter Subcommittee Open

S-H Wu, Minsu Jang, Jing Liu, Michael P. Flynn, Dominique Morche , et al. · 2020

In Paper

Robots Learn Social Skills: End-to-End Learning of Co-Speech Gesture Generation for Humanoid Robots Open

Youngwoo Yoon, Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim , et al. · 2019

Co-speech gestures enhance interaction experiences between humans as well as between humans and robots. Existing robots use rule-based speech-gesture association, but this requires human labor and prior knowledge of experts to be implement…

Evaluation of Building Energy and Daylight Performance of Electrochromic Glazing for Optimal Control in Three Different Climate Zones Open

Myung-Hwan Oh, Minsu Jang, Jaesik Moon, Seungjun Roh · 2019

The objective of this paper is to analyze the control conditions of the transmittance rate, and determine the conditions that are most optimal with respect to building energy and daylight performance in three climate conditions: Riyadh, Sa…

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