Search Results - "Yun, Sungmin"

TIR-MS: Thermal Infrared Mean-Shift for Robust Pedestrian Head Tracking in Dynamic Target and Background Variations by Yun, Sungmin, Kim, Sungho

“…Thermal infrared (TIR) pedestrian tracking is one of the major issues in computer vision. Mean-shift is a powerful and versatile non-parametric iterative…”
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Critical organizational success factors for public private partnership projects - a comparison of solicited and unsolicited proposals by Yun, Sungmin, Jung, Wooyong, Han, Seung Heon, Park, Heedae

“…Public Private Partnership (PPP) projects are typically initiated through solicited or unsolicited proposals. The difference between the processes according to…”
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CONCEPTUAL COST ESTIMATION FRAMEWORK FOR MODULAR PROJECTS: A CASE STUDY ON PETROCHEMICAL PLANT CONSTRUCTION by Choi, Younguk, Park, Chan Young, Lee, Changjun, Yun, Sungmin, Han, Seung Heon

“…Modularization, which allows for pre-assembly away from a construction site, has been known to be more cost-effective than stick-built; however, contractors…”
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Analyzing Schedule Delay of Mega Project: Lessons Learned From Korea Train Express by Han, Seung Heon, Yun, Sungmin, Kim, Hyoungkwan, Kwak, Young Hoon, Park, Hyung Keun, Lee, Sang Hyun

“…In 2004, Korea became the fifth country in the world to own and operate a high-speed railway called Korea Train eXpress (KTX). Numerous uncertainties and…”
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What Determines Infrastructure Investments: Critical Factors from Preliminary Feasibility Studies for Capital Projects in Korea by Park, Chan Young, Yun, Sungmin

“…AbstractInfrastructure development is crucial for any country because it has significant effects on both social welfare and economic growth. Due to limited…”
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GraNDe: Efficient Near-Data Processing Architecture for Graph Neural Networks by Yun, Sungmin, Nam, Hwayong, Park, Jaehyun, Kim, Byeongho, Ahn, Jung Ho, Lee, Eojin

“…Graph Neural Network (GNN) models have attracted attention, given their high accuracy in interpreting graph data. One of the primary building blocks of a GNN…”
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Benchmarking the Material Use Efficiency of Building Projects by Choi, Jiyong, Yin, Zhe, Chae, Myungjin, Yun, Sungmin

“…In the construction industry, reducing the quantities of engineered materials provides a significant opportunity of mitigating the environmental impacts caused…”
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Energy-efficient ventilation with air-cleaning mode and demand control in a multi-residential building by Cho, Wanghee, Song, Doosam, Hwang, Seokho, Yun, Sungmin

“…•The energy-saving potential of a ventilation system with an air-cleaning unit was analyzed.•The air-cleaning unit can reduces the operation rate of the…”
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Semantic Network Analysis Using Construction Accident Cases to Understand Workers' Unsafe Acts by Kang, Suhyun, Cho, Sunyoung, Yun, Sungmin, Kim, Sangyong

“…Unsafe acts by workers are a direct cause of accidents in the labor-intensive construction industry. Previous studies have reviewed past accidents and analyzed…”
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Analysis of the effectiveness of the OSHA steel erection standard in the construction industry by Choe, Sooyoung, Yun, Sungmin, Leite, Fernanda

“…•Structural iron and steel workers have historically been high risk occupations.•Regulatory intervention is one of the most influential factors.•This study…”
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Team Integration and Owner Satisfaction: Comparing Integrated Project Delivery with Construction Management at Risk in Health Care Projects by Choi, Jiyong, Yun, Sungmin, Leite, Fernanda, Mulva, Stephen P

“…AbstractTeam integration among project stakeholders is paramount to achieving successful project outcomes and better value to the owner. Project delivery…”
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Exploring inattentional blindness in failure of safety risk perception: Focusing on safety knowledge in construction industry by Park, SungJoon, Park, Chan Young, Lee, Changjun, Han, Seung Heon, Yun, Sungmin, Lee, Dong-Eun

“…•Inattentional blindness (IB) results in failure of safety risk perception (FSRP)•Safety knowledge-related factors influence IB and FSRP.•Certificates and…”
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Corrigendum to “Analysis of the effectiveness of the OSHA steel erection standard in the construction industry”. [Saf. Sci. 89 (2016) 190–200] by Choe, Sooyoung, Yun, Sungmin, Leite, Fernanda

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GraNDe: Near-Data Processing Architecture With Adaptive Matrix Mapping for Graph Convolutional Networks by Yun, Sungmin, Kim, Byeongho, Park, Jaehyun, Nam, Hwayong, Ahn, Jung Ho, Lee, Eojin

“…Graph Convolutional Network (GCN) models have attracted attention given their high accuracy in interpreting graph data. One of the primary building blocks of a…”
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Measuring project management inputs throughout capital project delivery by Yun, Sungmin, Choi, Jiyong, Oliveira, Daniel P., Mulva, Stephen P., Kang, Youngcheol

“…Despite continuous efforts into benchmarking over the last decades, few have focused on management efforts of project organizations who are involved in…”
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Development of performance metrics for phase-based capital project benchmarking by Yun, Sungmin, Choi, Jiyong, de Oliveira, Daniel P., Mulva, Stephen P.

“…Despite various research efforts focusing on the development of an effective measurement system, most project performance metrics were designed for post…”
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Recurrent YOLO and LSTM-based IR single pedestrian tracking by Yun, Sungmin, Kim, Sungho

“…In this paper, we develop a new approach of spatially supervised recurrent convolutional neural networks for thermal infrared (TIR) visual pedestrian tracking…”
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Analysing decision variables that influence preliminary feasibility studies using data mining techniques by Yun, Sungmin, Caldas, Carlos H.

“…The development of infrastructure contributes to the social and economic improvement of a country, and generally requires huge and immediate investments. To…”
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Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching by Yun, Sungmin, Kyung, Kwanhee, Cho, Juhwan, Choi, Jaewan, Kim, Jongmin, Kim, Byeongho, Lee, Sukhan, Sohn, Kyomin, Ahn, Jung Ho

“…Large language models (LLMs) have emerged due to their capability to generate high-quality content across diverse contexts. To reduce their explosively…”
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