• Architectural research
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• v.7 no.1
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• pp.11-18
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• 2005

In today's building industry the emphasis has been geared more towards construction, thus building maintenance and life cycle have been neglected until now. A direct result of this neglect is the rapid aging of building, which leads to more cost-effective decision making methods for the prolongation of building life span. The following study is conducted in the area of Daegu and Seoul in order to develop the estimation analysis method of the annual operation cost of the Korean high-rise condominiums for the cost-effective decision making support through mathematical and statistical analyses including the present value and standardized measurement corrections. Based on the assumption that the life expectancy of the high rise condominium is 50 years, initial cost is ￦421,212/$m^2$, and a total sum of yearly operation cost during life expectancy is ￦2,154,499//$m^2$), yearly accumulated operation cost is shown as below: $AOC=0.7097t^4-38.803t^3+806.95t^2+11045t-496.52$ ($R^2=0.98$) (Here, AOC = Accumulated Operation Cost, t = given years)

• Transactions of the Korean Society of Mechanical Engineers A
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• v.25 no.3
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• pp.452-460
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• 2001

Most of researches of tolerance optimization have used a simple sum of tolerance-cost functions with several constraint equations as an optimization model. However, if there is a machining sequence with more than one processes to complete a part, and machining failure, i.e., out-of-tolerance occurs at one of the intermediate processes, the tolerance-cost of this process should be added by the machining cost of all the previous processes already completed on the part. In this study, an accumulated scrap cost model(ASCM) is proposed considering the scrapped machining cost, and applied to a simple assembly example. The result of tolerance optimization using ASCM is compared with that of using a traditional optimization model to confirm its effectiveness.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.8
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• pp.845-850
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• 2009

Localization which estimates a robot's position and orientation in a given environment is very important for mobile robot navigation. Although low-cost sensors are preferred for practical service robots, they suffer from the inaccurate and insufficient range information. This paper proposes a novel approach to increasing the success rate of low-cost sensor-based localization. In this paper, both the previous and the current data obtained from the IR sensors are used for localization in order to utilize as much environment information as possible without increasing the number of sensors. The sensor model used in the monte carlo localization (MCL) is modified so that the accumulated range information may be used to increase the accuracy in estimating the current robot pose. The experimental results show that the proposed method can robustly estimate the robot's pose in indoor environments with several similar places.

• Journal of the Korean Society of Safety
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• v.16 no.2
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• pp.63-68
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• 2001

In this study the main elements which can be commonly adopted to every kind of business are selected through the research, case-study, benchmarking common items of a direct or indirect loss cost. As a result of the development of a program for evaluating loss cost a case or accumulated data can be easily managed through estimating the direct and indirect loss cost as tell as the ratio between directs and indirect cost. The program is fit to case-study and we are compared direct cost with indirect cost. Automatically, this program showed ratio between directs and indirect cost for style, scale of accident The person in charge of safety and hygiene can have better chances to get into management also the owner or the CEO can recognize the importance of management of safety and hygiene. So this can guide the company to invest in a prevention of disaster and to adopt a safety and hygiene management promote the prevention activity of a company, and finally decrease the accident rate in the country.

• IE interfaces
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• v.8 no.1
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• pp.31-43
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• 1995

This study is intended to develop a technology cost model (TCM) which treats technology costs appropriately under present advanced manufacturing technology environment. TCM is composed of two elements : cost classification system and cost allocation model. It is proposed to include technology-related department expenses as well as technology investment in the categories of technology costs. For the cost allocation, technology activities are divided into four homogeneous groups. Costs are accumulated into one of the four cost pools and allocated to the cost object using the pool's unique allocation base. It is also proposed to use the capital recovery costs including interest expense rather than the depreciation costs for an invested capital. A case study is performed to verify the applicability of the developed model.

• Korean Journal of Construction Engineering and Management
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• v.21 no.6
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• pp.113-124
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• 2020

Social movements to improve the performance of buildings through remodeling of aging apartment houses are being captured. To this end, the remodeling construction cost analysis, structural analysis, and political institutional review have been conducted to suggest ways to activate the remodeling. However, although the method of analyzing construction cost for remodeling apartment houses is currently being proposed for research purposes, there are limitations in practical application possibilities. Specifically, In order to be used practically, it is applicable to cases that have already been completed or in progress, but cases that will occur in the future are also used for construction cost analysis, so the sustainability of the analysis method is lacking. For the purpose of this, we would like to suggest an automated estimating method. For the sustainability of construction cost estimates, Deep-Learning was introduced in the estimating procedure. Specifically, a method for automatically finding the relationship between design elements, work types, and cost increase factors that can occur in apartment remodeling was presented. In addition, Monte Carlo Simulation was included in the estimation procedure to compensate for the lack of uncertainty, which is the inherent limitation of the Deep Learning-based estimation. In order to present higher accuracy as cases are accumulated, a method of calculating higher accuracy by comparing the estimate result with the existing accumulated data was also suggested. In order to validate the sustainability of the automated estimates proposed in this study, 13 cases of learning procedures and an additional 2 cases of cumulative procedures were performed. As a result, a new construction cost estimating procedure was automatically presented that reflects the characteristics of the two additional projects. In this study, the method of estimate estimate was used using 15 cases, If the cases are accumulated and reflected, the effect of this study is expected to increase.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.235-236
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• 2016

The importance of construction management has been increasing due to the fact that complex construction projects blend several different industries depending on the traits of the construction. This research was conducted to search for a method to enhance efficiency in cost management of construction project and meet the need for reusability of accumulated construction information. The process of detailed estimation and methodology for using standard unit price information has been developed to strengthen the interoperability in cost information by utilizing a standard classification system. The concept of ontology is proposed as a method of connecting construction information based on a standard breakdown structure to increasing the connectivity of the cost information in the construction project. Therefore, construction information knowledge framework is developed in order to improve the efficiency of the detailed estimation work process.

• Journal of Biosystems Engineering
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• v.36 no.3
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• pp.195-203
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• 2011

Not only does the labor of manufacturers used most in the drying process after rice harvest, but it also is having huge influence in quality. Also, because drying storage of rice production around the whole country is scarce with original facility, it has become a very important matter that farms develop their own safe and high-quality facilities to store and dry rice. Therefore, this study developed a small scale accumulated storage and drying bin, assessed nalyzed drying properties, and conducted analysis of research on the property of quality when storing for a long time. As a result, the drying speed of the small scale accumulated storage and drying bin was adequate of 0.042%/hr and was shown that the experimental static pressure and theoretical static pressure corresponded. Also, it was shown that drying cost was up to about 6 times inexpensive that heated air drying. For the storage of the small scale accumulated storage and drying bin, average of moisture content was around 16.5 until early April and decreased to 15.7% in July. Inside storage was maintained to 12.13% until early April and slightly increased to 14% after May. It was shown that inside storage had higher hardness and rate of cracking than the small scale accumulated storage and drying bin by storage conditions and germination rate was shown a little higher when stored in the small scale accumulated storage and drying bin.

• Proceedings of the KIPE Conference
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• 2003.07a
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• pp.451-454
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• 2003

In this paper, the research trend and the sate-of-the-art of low cost motor drives are introduced with the recently increasing interest In various industrial applications, such as home appliance, hybrid electric vehicles, wind power systems, fuel cell systems, and etc. Based on this presented work, it is highly expected the power electronics technologies, which are accumulated through the last 20 years, can be effectively applied to actual application fields.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.1
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• pp.66-72
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• 2000

Inventory management of a product not to be produced any more has a great impact on the financial status of a company. Clearance pricing can make bigger sales volume together with great savings of inventory holding cost specially for a durable goods with relatively large inventory carrying cost and accordingly cash inflow can be improved. This paper deals with the inventory management by non-linear clearance pricing with the sales rate which depends on the accumulated sales volume and selling price.