• International conference on construction engineering and project management
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• 2005.10a
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• pp.862-868
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• 2005

The history of Korea's overseas construction began in 1965, and the cumulative contract amount is about $180 billion over the last 40 years. During the period, Korea's overseas construction industry has played an important role for economic development. However, it seems that the industry is in a sea of trouble. Overseas construction orders have declined due to various reasons such as companies losing confidence, limited financing, lack of competitiveness, and so on. This paper addresses the brief history of Korea's overseas construction industry and the problems that the industry is facing. Then it suggests a few measures for the improvement of the industry.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.899-908
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• 2021

Since the modern weapon system is composed of a complex system, it is quite difficult to derive the priority of performance improvement factors. In addition, research on the method for prioritizing quantitative performance improvement factors considering the opinions of stakeholders is insufficient. In this study, in order to quantitatively derive the priorities of performance improvement factors for K1 tanks and K2 tanks, a survey was conducted with experts with experience in tank development, and the preface data was analyzed using AHP, scoring method, and TOPSIS methods. As a result, priorities were quantitatively derived. The results of this study are expected to be used as decision-making indicators for stakeholders in the future weapon system development and performance improvement stage.

• The KIPS Transactions:PartB
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• v.16B no.4
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• pp.319-326
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• 2009

PSO(Particle Swarm Optimization) is an optimization algorithm in which simple particles search an optimal solution using shared information acquired through their own experiences. PSO applications are so numerous and diverse. Lots of researches have been made mainly on the parameter settings, topology, particle's movement in order to achieve fast convergence to proper regions of search space for optimization. In standard PSO, since each particle uses only information of its and best neighbor, swarm does not explore diverse regions and intended to premature to local optima. In this paper, we propose a new particle's movement strategy in order to explore diverse regions of search space. The strategy is that each particle moves according to relative weights of several better neighbors. The strategy of exploring diverse regions is effective and produces less local optimizations and accelerating of the optimization speed and higher success rates than standard PSO. Also, in order to raise success rates, we propose a strategy for checking whether swarm falls into local optimum. The new PSO algorithm with these two strategies shows the improvement in the search speed and success rate in the test of benchmark functions.

• Journal of the Korean Society for information Management
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• v.24 no.4
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• pp.133-152
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• 2007

As interior and exterior environments change rapidly with the modern IT technology, the strategies related to marketing activities which enhance the library competition have been demanded. Although many previous studies have been conducted to improve the satisfaction of the library users and to increase the use rate, only few studies focused on the marketing strategy to elevate the library performance. With suggestion of a systematic framework related to the strategies, this study aims to analyze not only the interior and exterior factors which impact on the library marketing strategies, but the strategies which may influence on its performance. To achieve this objective, we adopted a comprehensive survey targeting the various types of our domestic libraries. On the basis of the results, we proposed a guideline for the strategy operation for the librarians to enhance the library performance.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.487-494
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• 2011

This paper is to investigate the efficacy of cyber education by self-assessment strategy. Self-assessment strategy contains self-monitoring function and self-control function. 202 students of online university attended and analyzed with frequency, correlation, t-test, Paired t-test. The major findings were as follows. The learners who experienced self-assessment in the initial stage of class had higher changes in social distance to the mentally disabled people positively than the learners who didn't experienced that. This self-assessment strategy can be assumed that it is effective strategy to improve e-learning efficacy and it will contribute to self-directed education for enhancement of on-line education.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.436-445
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• 2010

This research was inspected on the example destination of the actual condition of Deajeon metropolitan city for the urban regeneration projects. For that purpose, the database for these sections are constructed, but the lack of the information constructing, the 202 of Deajeon urban regeneration prearranged district can be implied by the urban regeneration concrete. The physical-environment regeneration of 123 district are classified into physical purpose of the improvement, the resource management of physical regeneration core strategy point and the core elements of the environment regeneration. The society-culture regeneration is classified into the purpose of history, culture resource regeneration of 21 district. The economic-industry regeneration presents the strategy and technique of 15 district. The Mixed regeneration resents the strategy and technique of 8 district.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.33-39
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• 2019

The improvement of emissions, fuel economy, and combustion noise is a primary target in the development of heavy-duty diesel engines. Multiple injection has been introduced as one of the most promising strategies for this goal. In this research, various multiple injection methods were applied to achieve the optimal strategy in terms of emissions, fuel economy, and combustion noise. In the case of one pilot injection, the smoke emission deteriorated, while the NOx emission was reduced. In the case of 2 pilot injections, the NOx and smoke emissions were reduced by 73% and 84%, respectively. In this case, the combustion noise was analyzed with the maximum pressure-rise rate, and the fuel economy was evaluated with the help of the indicated specific fuel consumption. A 15%:15% 2-pilot injection strategy accomplished improvements of 32.9% for NOx, 60.4% for smoke, 1.95% for fuel consumption, and 19.4% for combustion noise compared to the case of single injection. Based on the data, an optimal injection strategy will be developed for a greater operating range in future work.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.37-47
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• 2022

The Act on the Punishment of Serious Accidents to Prevent Large-scale Disasters, including Ferry Sewol and Taean Thermal Power Plant, passed the National Assembly on January 8, 2021, and has been in effect since January 27, 2022. However, the law, in which the representative of the headquarters is unlimitedly responsible for each worker's accident, is somewhat unreasonable at a time when a company owns dozens to hundreds of construction sites due to the nature of the construction industry. I agree with the purpose of enacting the law to reduce chronic serious accidents at construction sites, but it is necessary to carefully reconsider the implementation of the law in that punishment alone cannot achieve industrial safety. Previous studies focused on revising the Occupational Safety and Health Act, but there are few studies on the impact on the construction industry after the implementation of the Serious Accident Act. Therefore, this study attempts to derive problems related to the application of the Serious Accident Act and present improvement measures. To this end, after analyzing previous studies, SWOT analysis was performed by applying the Delphi method to derive strengths, weaknesses, opportunities, and threats. In addition, the results of two surveys of safety experts such as public institutions, academia, and companies were reflected, and its countermeasures were presented as follows. S/O strategy: establishing on-site execution capabilities of health and safety management system; W/O strategy: expanding legal and system execution checks; S/T strategy: establishing a risk response system; W/T strategy: expanding consulting by external specialized institutions

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.303-312
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• 2022

In this study, the importance-performance analysis (IPA) of the content components of remote graduate students was conducted. To this end, an online survey of 221 remote graduate students at J University obtained the following results. First, the importance of content components by area was in the order of learning content, interaction, teaching-learning strategy, and evaluation, and the degree of execution was in the order of teaching-learning strategy, interaction, evaluation, and learning content. Second, it was found that there were significant differences between importance and performance in the four areas of content components: learning content, teaching-learning strategy, interaction, and evaluation. The importance-execution analysis (IPA) was conducted in two dimensions: region-specific and item-specific, and the results are as follows. The learning content was found to be the maintenance area, the teaching-learning strategy and interaction were the key improvement areas, and the evaluation area was the overinvestment area. The results of this study can be used as basic data to diagnose the present of remote graduate school content and to gauge what needs to be improved in the future based on it.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.77-84
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• 2022

In this paper, we propose a Label Reassignment Strategy to improve the performance of an object detection algorithm. Our approach involves two stages: an inference stage and an assignment stage. In the inference stage, we perform multi-scale inference with predefined scale sizes on a trained model and re-infer masked images to obtain robust classification results. In the assignment stage, we calculate the IoU between bounding boxes to remove duplicates. We also check box and class occurrence between the detection result and annotation label to re-assign the dominant class type. We trained the YOLOX-L model with the re-annotated dataset to validate our strategy. The model achieved a 3.9% improvement in mAP and 3x better performance on AP_S compared to the model trained with the original dataset. Our results demonstrate that the proposed Label Reassignment Strategy can effectively improve the performance of an object detection model.