• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.335-352
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• 2023

When solving multi-objective optimization problems, the blindness of the evolution direction of the population gradually emerges with the increase in the number of objectives, and there are also problems of convergence and diversity that are difficult to balance. The many- objective optimization problem makes some classic multi-objective optimization algorithms face challenges due to the huge objective space. The sine cosine algorithm is a new type of natural simulation optimization algorithm, which uses the sine and cosine mathematical model to solve the optimization problem. In this paper, a knee-driven many-objective sine-cosine algorithm (MaSCA-KD) is proposed. First, the Latin hypercube population initialization strategy is used to generate the initial population, in order to ensure that the population is evenly distributed in the decision space. Secondly, special points in the population, such as nadir point and knee points, are adopted to increase selection pressure and guide population evolution. In the process of environmental selection, the diversity of the population is promoted through diversity criteria. Through the above strategies, the balance of population convergence and diversity is achieved. Experimental research on the WFG series of benchmark problems shows that the MaSCA-KD algorithm has a certain degree of competitiveness compared with the existing algorithms. The algorithm has good performance and can be used as an alternative tool for many-objective optimization problems.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.490-490
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• 2021

상수도 관망은 대표적인 사회기반시설로 수원으로부터 수용가에게 수질적으로 안전한 물을 안정하게 공급하는 것을 목표로 한다. 초기의 상수도 관망의 최적 설계는 비용만을 고려함으로써 미래의 불확실한 상황에 대한 대처가 매우 취약하고, 사용자의 다양한 요구를 충족시키지 못하였다. 또한, 유량과 안정적인 수질 공급을 고려하는 설계는 몇몇 비선형적 요소를 포함하고 있으며, 특히 사용자의 수요 패턴에 따른 잔류 염소 농도가 설계 기준에 부합하지 못하는 문제가 되는 경우 사용자의 심미적, 심리적 불편을 초래할 수 있다. 이는, 수질의 안전성과 직결되는 문제이다. 따라서 본 연구에서는 상수도 관망의 설계에 대하여 수질과 수리학적 특성을 고려한 상수도 관망 다목적 최적 설계를 수행하였다. 상수도 관망은 수질적인 측면을 고려하기 위해 수원에서 수용가까지 용수를 공급하는 과정에서 병원성 미생물을 소독하기 위하여 염소를 주입한다. 또한, 유리 잔류 염소의 평상시 기준을 (1.0-4.0mg/L) 유지하도록 규정하였다 (수도법 시행규칙 제22조의2). 하지만 사용자의 사용패턴, 체류 시간에 따라 잔류염소량이 달라진다. 따라서, 본 연구에서는 상수도 관망의 설계 비용과 염소 주입량을 동시에 설계 인자로서 고려하기 위해 Multi-objective Harmony Search를 적용하고, 그 결과를 분석하였다. 이러한 상수도 관망의 수질 인자와 설계 비용을 고려한 최적 설계안은 경제적 측면 뿐만 아니라 사용자의 수질 측면의 안전성을 충족하는 방안을 제시할 수 있다.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.496-500
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• 2015

International construction projects are inherently more risky than domestic projects with multi-dimensional uncertainties that require complementary risk management at both the country and project levels. However, despite a growing need for systematic country evaluations, most studies have focused on project-level decisions and lack country-based approaches for firms in the construction industry. Accordingly, this study suggests data-driven approaches for evaluating countries using two quantitative models. The first is a two-stage country segmentation model that not only screens negative countries based on country attractiveness (macro-segmentation) but also identifies promising countries based on the level of past project performance in a given country (micro-segmentation). The second is a multi-criteria country segmentation model that combines a firm's business objective with the country evaluation process based on Kraljic's matrix and fuzzy preference relations (FPR). These models utilize not only secondary data from internationally reputable institutions but also performance data on Korean firms from 1990 to 2014 to evaluate 29 countries. The proposed approaches enable firms to enhance their decision-making capacity for evaluating and selecting countries at the early stage of corporate strategy development.

• Quality Improvement in Health Care
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• v.29 no.2
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• pp.32-46
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• 2023

Purpose: Fire response education is critical for healthcare providers working in hospitals to ensure a safe environment for patients and staff. However, a comprehensive review that thoroughly examines the contents, methodologies, and outcomes of fire response education in hospitals is currently lacking. Methods: We conducted a scoping review by adhering to the framework proposed by Arksey and O'Malley. We searched five electronic databases for literature published after 1990, using the key categories of "hospitals," "fires," and "education." As a result, we identified 15 relevant articles that met our inclusion criteria for the review. Results: Of the 15 articles, 12 had adopted a quasi-experimental design and the remaining 3 had employed a true experimental design. The majority of these studies (11 out of 15) were conducted in the United States, with 4 studies forming committees or teams dedicated to education. Simulation methods were used in 13 studies, while 2 studies had employed a combination of methods. All studies focused on first-response procedures based on RACE (Rescue, Alarm, Contain, Extinguish/Evacuation). Outcome measures included the learners' overall experience, performance in the educational settings, and performance in the field, with all studies reporting positive results following the educational interventions. Conclusion: Our review highlights the importance of multi-professional and multi-departmental educational strategies based on institutional-level initiatives for healthcare providers to create a safe hospital environment.

• Journal of Digestive Cancer Research
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• v.8 no.1
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• pp.65-70
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• 2020

Although being one of the major causes of malignancy related death globally, hepatocellular carcinoma (HCC) has not received much attention in respect of novel drug development. Fortunately, several new drugs were found to be effective and tolerable in patients with advanced HCC from a number of phase 3 studies during the recent several years. Novel multi-targeted kinase inhibitors and immune checkpoint inhibitors were approved for clinical use, and combination strategies to maximize the potent of drugs demonstrated promising antitumor activity and safety with high response rate and improved safety profile. The increased number of available agents for HCC will contribute to change of treatment strategies and prognosis of patients with advanced HCC. Still, there is a many critical questions remain unanswered. Currently ongoing trials and future studies will provide better understanding of tumor biology and optimized criteria for patient selection and combination therapies.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1230-1237
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• 2024

Personalized learning is a critical factor in optimizing performance on construction sites. Traditional pedagogical methods often adhere to a one-size-fits-all approach, failing to provide the nuanced adaptation required to cater to diverse knowledge needs, roles, and learning preferences. While advancements in technology have led to improvements in personalized learning within construction education, the crucial connection between instructors' roles and training enviornment to personalized learning success remains largely unexplored. To address these gaps, this research proposes a novel learning approach utilizing multi-agent, context-specific AI agents within construction virtual environments. This study aims to pioneer an innovative approach leveraging the Large Language Model's capabilities with prompt engineering to make domain-specific conversations. Through the integration of AI-driven conversations in a realistic 3D environment, users will interact with domain-specific agents, receiving personalized safety guidance and information. The system's performance is assessed using the five evaluation criteria including learnability, interaction, communication, relevancy and visualization. The results revealed that the proposed approach has the potential to significantly enhance safety learning in the construction industry, which may lead to improve practices and reduction in accidents on diverse construction sites.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.209-215
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• 2024

Many developed countries, including Korea, are rapidly aged owing to years of use. Infrastructures such as roads, water, and sewage are Social Overhead Capital (SOC), which provide convenience to the nation and support national economic growth. Thus, continuous maintenance and investment are required because infrastructure deterioration is directly related to social effects, such as quality of life and safety. In addition, because infrastructure maintenance costs a lot of the budget, it is necessary to appropriate criteria for budget allocation, given assessing the condition of infrastructure. This study developed an Infrastructure Maintenance Map (IMM) based on a Geographic Information System (GIS) for infrastructure maintenance budgets and investment priorities. The IMM uses maintenance information for roads, bridges, water, and sewage, obtained from Bridge Management System (BMS), Pavement Management System (PMS) and facility data in South Korea. The IMM can calculate deterioration levels and maintenance costs of infrastructure repair methods. Maintenance priorities are also evaluated based on Multi-Attribute Utility Theory using the deterioration level, economic feasibility, and effect of facilities. This study contributes to easy decision-making regarding infrastructure investment priorities and maintenance budgeting to the status of facility on the 3D map by IMM.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.587-598
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• 2021

This study aims to develop a multi-camera based MMS (Mobile Mapping System) technology for building a HD (High Definition) map for autonomous driving and for quick update. To replace expensive lidar sensors and reduce long processing times, we intend to develop a low-cost and efficient MMS by applying multiple cameras and real-time data pre-processing. To this end, multi-camera storage technology development, multi-camera time synchronization technology development, and MMS prototype development were performed. We developed a storage module for real-time JPG compression of high-speed images acquired from multiple cameras, and developed an event signal and GNSS (Global Navigation Satellite System) time server-based synchronization method to record the exposure time multiple images taken in real time. And based on the requirements of each sector, MMS was designed and prototypes were produced. Finally, to verify the performance of the manufactured multi-camera-based MMS, data were acquired from an actual 1,000 km road and quantitative evaluation was performed. As a result of the evaluation, the time synchronization performance was less than 1/1000 second, and the position accuracy of the point cloud obtained through SFM (Structure from Motion) image processing was around 5 cm. Through the evaluation results, it was found that the multi-camera based MMS technology developed in this study showed the performance that satisfies the criteria for building a HD map.

• Archives of design research
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• v.13
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• pp.45-53
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• 1996

After the callapse of the 80's bubble economy. consumers tend to consider the fundamental values of a product such as price, usage, and quality more significantly than ever before. Due to this change in attitude. the most important factor in a consumer's decision for choosing a product becomes the quality of a product that safisfies consumer's practical values whith convincing features and logical differentiations devoted to fundamental values. Under the circumstances. Factor Oriented Process and Multi-Sequential Process are proposede not just as merely defining concept through study of consumers' needs. but as methods of gaining competitive edge and eatablishing corporate identity in market, competition by bringing out consumers' various wants and needs to lead them to a specific product. Factor Oriented Process emphasizes the analysis of factors within the process itself, especially the synthesis of factors which would bring about new solutions as its special feature and acts as a logical element for further design development. Thus, the synthesis process consists of re-organizing analyzed factors, andduring this process, analyzing correlation between the restrictions of factors would lead to discovery of 'dominant factors'. Afterward, design basis may be formed with design concepts proposed by several concept codes made up of one dominant factor and other associate factors. Multi-Sequential Process is an extensive approach to discover differentiated design proposals through careful examination of dominant factors within the product, and furthermor, to discount 'anterior factor' (directional factors that decide design directions based on multi-value criteria) for self-determined decision of design directions.

• Journal of Broadcast Engineering
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• v.15 no.6
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• pp.768-782
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• 2010

Because of the different shooting position between multi-view cameras and the imperfect camera calibration, Illumination mismatches of multi-view video can happen. This variation can bring about the performance decrease of multi-view video coding(MVC) algorithm. A histogram matching algorithm can be applied to recompensate these inconsistencies in a prefiltering step. Once all camera frames of a multi-view sequence are adjusted to a predefined reference through the histogram matching, the coding efficiency of MVC is improved. However the histogram distribution can be different not only between neighboring views but also between sequential views on account of movements of camera angle and some objects, especially human. Therefore the histogram matching algorithm which references all frames in chose view is not appropriate for compensating the illumination differences of these sequence. Thus we propose new algorithms both the image classification algorithm which is applied two criteria to improve the correlation between inter-view frames and the histogram matching which references and matches with a group of pictures(GOP) as a unit to advance the correlation between successive frames. Experimental results show that the compression ratio for the proposed algorithm is improved comparing with the conventional algorithms.