• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1394-1400
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• 2008

This study investigates the Failure Modes, Effects and Criticality Analysis (FMECA) Method for the railroad vehicle. Recently, RAMS (Reliability, Availability, Maintainability and Safety) is one of the most important issues in the railroad industry. FMECA is prerequisite for the RAMS Analysis, and it is a procedure to identify the potential failure modes and their effects and to reduce or mitigate the critical effects on the system. FMECA is used in various industries and it is specialized in each industry. For instance, MIL-1629a and SAE-J1739 are specialized FMECA method for Military industry and Automotive industry, respectively. Although the railroad industry requires the high reliability system, it does not have a specialized FMECA yet. Thus, in this paper, an FMECA method specialized to the railroad vehicle was proposed through analyses and comparison of the MIL-1629a, SAE-J1739 and IEC-60812 standards.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.79-85
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• 2011

The logistics industry in Incheon is lack of basic usage for logistic information. As development of logistics industry the companies recognized the importance of logistics informatization. But due to a small scale of logistic companies it is difficult to equip the basic infrastructure for logistics informatization. To investigate the status of informatization of logistics companies in Incheon, we divide questionnaire by the aspects of information operations, aspects of information needs, information effects and policy aspects of planning and support information. By the result of survey we suggest the supporting plan for Incheon logistics industry.

• Journal of Industrial Convergence
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• v.2 no.2
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• pp.31-46
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• 2004

The ratio of industrial injury in Korea is higher 2~4 times than advanced nations like Japan and Singapore, because the industrial injuries in small-medium industry are higher than large size industry. The investment ability is insufficient for working conditions and prevention of the industrial injuries in the small & medium industry. The industrial safety management of machinery manufacturing for transportation, chemical factory, textile product manufacturing, wire & circuit products for computer, plastic goods manufacturing, and metal products manufacturing was investigated. Therefore, the purpose of the paper is to recognize the seriousness of the industrial injuries, understand product, layout, and machinery, and working conditions, etc., and indicate safety engineering techniques for improvement of quality and productivity under this safety working conditions.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.237-241
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• 2009

Automation and robotic technology (ART) has been successfully applied in the manufacturing and allied industries to achieve on-time delivery of quality products at increasingly reduced costs. Meeting time, quality and cost targets still remains a big challenge in the global construction industry with prevalence of time and cost overruns. Application of ART in the construction industry could contribute to significant improvement in the efficient and effective delivery of projects to meet and exceed client expectations. However, the uptake of ART is still low in the construction industry. This study investigates the various ways in which ART could be applied to improve construction project delivery, potential areas of applications, and constraints to the uptake of the technology in the construction industry. Recommendations are made for improving the uptake of ART in the construction industry.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.150-153
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• 2015

The construction industry is an integral part of any nation's economy, whether measured by dollar volume or workforce size. In spite of its strong influence, there has been very little specifically aimed at evaluating the current industry performance. This research investigates the macroeconomic performance of the construction industry by accounting for crucial performance affecting factors such as labor productivity and gross margin. A clustering analysis, followed by a series of statistical analyses, yielded a notable finding that labor productivity is the most important factor that affects industry's profitability. The results of the analysis also revealed that the states with the strongest labor productivity show the highest level of profitability in terms of gross margin. This study should be of value to decision-makers when plotting a roadmap for future growth and rendering a strategic business decision.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.113-120
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• 2023

Occupational safety and health management expenses in the construction industry are statutory and separately included in the cost statement to prevent occupational accidents and health problems. The expenses are determined by multiplying the standard amount by the rate decided according to construction types and scales. However, the current expense appropriation method does not properly reflect the recent changes in the construction industry such as industry size, industry diversification, and social atmosphere about safety reinforcement. This study surveyed 1579 questionnaires in total and analyzed expense execution rate and proportion of each expense category. The expense execution rate was relative higher in complex construction (e.g., heavy construction = 126%, civil engineering = 125%) and long-period project (equal to or over 48 months construction = 133%) compared to general construction (98~116%) and short-period project (less than 48 months construction = 115%). The proportion of spending expenses was higher in the category of safety manager labor costs (25~52%), safety facility costs (22~40%), and personal protective equipment costs (10~25%). The analysis results of the study can be utilized in revising the standard expense appropriation method by reflecting the current usages of the occupational safety and health management expenses in the construction industry.

• 한국전산유체공학회:학술대회논문집
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• 2003.10a
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• pp.82-83
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• 2003

• Journal of the Korean Society for Precision Engineering
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• v.19 no.6
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• pp.104-108
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• 2002

Sandwich plate structure is widely used in various fields of industry due to its excellent strength and stiffness compared with weight. In this paper, the mechanical behavior of sandwich plate structure with honeycomb core considering buckling is investigated in detail. The focus of the analysis is to evaluate strength and stiffness of the plate structure with critical stress, natural frequency, and mode shapes. The results of this investigation are obtained from detailed finite element analysis for various parameters, such as length, height ratio, and thickness ratio of honeycomb core.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.956-961
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• 2005

Delay, cost overrun and inferior quality in public works are common in Nepal and Cambodia. Almost 90 percent of the civil construction engineers working in the industry were one-degree graduates without appropriate training. The civil engineering education had provided elemental engineering knowledge to the graduates however integrated engineering and management knowledge and skill are essential for efficient infrastructure development. ODA in developing countries had been concentrated in hard infrastructure development without improving the quality of higher education. Integrating ODA to engineering education system would help develop qualified technical manpower and appropriate technology domestically, and improve the efficiency in infrastructure development in developing countries.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1142-1166
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• 2020

Salp Swarm Algorithm (SSA) is a new nature-inspired swarm optimization algorithm that mimics the swarming behavior of salps navigating and foraging in the oceans. SSA has been proved to enable to avoid local optima and enhance convergence speed benefiting from the adaptive nonlinear mechanism and salp chains. In this paper, visual tracking is considered to be a process of locating the optimal position through the interaction between leaders and followers in successive images. A novel SSA-based tracking framework is proposed and the analysis and adjustment of parameters are discussed experimentally. Besides, the qualitative analysis and quantitative analysis are performed to demonstrate the tracking effect of our proposed approach by comparing with ten classical tracking algorithms. Extensive comparative experimental results show that our algorithm has good performance in visual tracking, especially for abrupt motion tracking.