• Toxicological Research
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• v.13 no.3
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• pp.237-245
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• 1997

As the development of a pharmaceutical product is a dynamic process which involves continuousfeed-back between non-clinical and clinical studies, the integration of pharmacokinetics into toxicity testing became increasingly important in recent years. Toxicokinetic measurements in the toxicity studies is considered to be an important scientific approach in the interpretation of the toxicology findings and the promotion of rational study design development. Primarily this research project was conducted to determine the systemic exposure achieved in acute toxicity test and its relationship to dose level and the time course of the toxicity study. Acute hepatotoxicity study and its relevant toxicokinetic study in mice were performed using acetarninophen (AA) as a model compound. The correlation between acute hepatotoxicity indices and toxicokinetic parameters following intraperitoneally administration of various dosages of AA in mice was evaluated and discussed minutely in the text. Based on these studies, single-dose toxicity testing of AA including kinetic studies was evaluated in ICR mice for 7 days and interpreted in the text. Our results from the integration of toxicokinetic monitoring into single-dose toxicity study enable to elucidate the relation of the exposure achieved in toxicity study to toxicological findings and assist in the selection of appropriate dose levels for use in repeated-dose toxicity or later studies.

• Communications for Statistical Applications and Methods
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• v.20 no.4
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• pp.271-281
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• 2013

This paper considers a problem of classification of variable stars based on functional data analysis. For a better understanding of galaxy structure and stellar evolution, various approaches for classification of variable stars have been studied. Several features that explain the characteristics of variable stars (such as color index, amplitude, period, and Fourier coefficients) were usually used to classify variable stars. Excluding other factors but focusing only on the curve shapes of variable stars, Deb and Singh (2009) proposed a classification procedure using multivariate principal component analysis. However, this approach is limited to accommodate some features of the light curve data that are unequally spaced in the phase domain and have some functional properties. In this paper, we propose a light curve estimation method that is suitable for functional data analysis, and provide a classification procedure for variable stars that combined the features of a light curve with existing functional data analysis methods. To evaluate its practical applicability, we apply the proposed classification procedure to the data sets of variable stars from the project STellar Astrophysics and Research on Exoplanets (STARE).

• Geomechanics and Engineering
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• v.12 no.3
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• pp.483-503
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• 2017

Uncertainty is a fact belonging to engineering practice. An important uncertainty that sets geotechnical engineering is the variability associated with the properties of soils or, more precisely, the characterization of soil profiles. The reason is due largely to the complex and varied natural processes associated with the formation of soil. Spatial variability analysis for the study of the stability of natural slopes, complementing conventional analyses, is able to incorporate these uncertainties. In this paper the characterization is performed in back-analysis for a case of landslide occurred to verify afterwards the presence of the conditions of shear strength at failure. This approach may support designers to make more accurate estimates regarding slope failure responding, more consciously, to the legislation dispositions about slope stability evaluation and future design. By applying different kriging techniques used for spatial analysis it has been possible to perform a 3D-slope reconstruction. The predictive analysis and the areal mapping of the soil mechanical characteristics would support the definition of priority interventions in the zones characterized by more critical values as well as slope potential instability. This tool of analysis aims to support decision-making by directing project planning through the efficient allocation of available resources.

• Management Science and Financial Engineering
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• v.22 no.1
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• pp.5-12
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• 2016

We consider a time-cost tradeoff problem with multiple milestones under a chain precedence graph. In the problem, some penalty occurs unless a milestone is completed before its appointed date. This can be avoided through compressing the processing time of the jobs with additional costs. We describe the compression cost as the convex or the concave function. The objective is to minimize the sum of the total penalty cost and the total compression cost. It has been known that the problems with the concave and the convex cost functions for the compression are NP-hard and polynomially solvable, respectively. Thus, we consider the special cases such that the cost functions or maximal compression amounts of each job are identical. When the cost functions are convex, we show that the problem with the identical costs functions can be solved in strongly polynomial time. When the cost functions are concave, we show that the problem remains NP-hard even if the cost functions are identical, and develop the strongly polynomial approach for the case with the identical maximal compression amounts.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2003.11a
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• pp.125-128
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• 2003

This study aims to feasibility study of the Youth Center. Welfare of adolescents is appeared to a matter of concern and interest as social problems of various kinds related adolescents including the fire at a beer bar in Inchon occur recently. In view of government, in addition to fairness of facility location, location of such facilities arc to be determined the respect to cost of locating facilities and developmental direction in the future. A feasibility study is and effective tool in determining the decision of investment or not and the level of investment priority on projects requiring a sizeable investment and the feasibility of a project. The first, it is to select reasonable location. It was selected three and two by consideration of facilities distribution and connection with others. Five proposal selected was estimated by five element of approach, demand, symbol, reality, environment. In result proposal I was chosen. The next, it is to estimate scales. It was estimated by analysis of catchment area, similar facilities, programs, in result 7,260㎡ come into analysis to the best gross area. The finally, it is to study on economical efficiency. Income Statement estimated was came out ₩1,7billion. in addition, it offer various benefit by public facilities.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.229-232
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• 2006

The Center for Technology Fusion in Construction was established on Sep. 30, 2005, with the support of Korea Ministry of Construction and Transportation and Korea Institute of Construction and Transportation Technology Evaluation and Planning. It aims to develop the next generation of economic growth engine through the fusion of traditional construction technology and cutting-edge emerging technologies. To achieve this vision, the center tries to establish a system for the systematic construction research based on the fusion approach. The scope of the center focuses on improving the performance of construction project, including planning, design, construction, and maintenance. Along with the newly developed Korea Construction Technology Road Map, the center is expected to significantly contribute to the development of innovative construction technologies for the world-class Korean society.

• Journal of Construction Engineering and Project Management
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• v.5 no.4
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• pp.1-6
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• 2015

Due to unique characteristics of small construction companies, safety management is comprised of complex problems. This paper aims to better understand the complexity and dynamics of safety management in small construction companies. A system dynamics (SD) model was built in order to capture the causal interdependencies between factors at different system levels (regulation, organization, technical and individual) and their effects on safety outcomes. Various tests were conducted to build confidence in the model's usefulness to understand safety problems facing small companies from a system dynamics view. A number of policies were analyzed by changing the value of parameters. The value of a system dynamics approach to safety management in small construction companies is its ability to address joint effects of multiple safety risk factors on safety performance with a systems thinking perspective. By taking into account feedback loops and non-linear relationships, such a system dynamics model provides insights into the complex causes of relatively poor safety performance of small construction companies and improvement strategies.

• Journal of Construction Engineering and Project Management
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• v.3 no.2
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• pp.58-65
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• 2013

Earthwork activities are typically performed by heavy duty diesel (HDD) construction equipment that consumes large quantities of diesel fuel use and emits large quantities of pollutants, including nitrogen oxides (NOx), particulate matters (PM), hydrocarbon (HC), carbon monoxide (CO), and carbon dioxide ($CO_2$). This paper presents the framework for a model that can be used to estimate the production rate, activity duration, total fuel use, and total pollutants emissions for earthwork activities. A case study and sensitivity analysis for an excavator performing excavations are presented. The tool is developed by combining the multiple linear regressions (MLR) approach for modeling the productivity with the EPA's NONROAD model. The excavator data from RSMeans Heavy Construction Data were selected to build the productivity model, and emission factors of all type of pollutants from NONROAD model were used to estimate the total fuel use and emissions. The MLR model for the productivity rate can explain 92% of the variability in the data. Based on the model, the fuel use and emissions of excavator increase as the trench depth increase, but as the bucket size increase, the fuel use and emissions decrease.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.97-114
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• 2008

Many companies have implemented ERP systems to enhance their process competitiveness. Since most ERP systems down to date are implemented and managed on each separated business-unit or company level, such systems run short of the consideration about global business processes and global system managements. In order to integrate a successful global ERP, it is essential to apply the well-systematic implementation methodology which considers global standardization and global IT requirements. It is, however, the actual circumstance that such well-structured methodologies for global ERP implementation are hardly shown not only from domestic site but from foreign one. This paper indicates the global ERP implementation guideline with integrated approach including; the standard process design for efficient execution of global business; the ERP implementation method considering global IT requirements; and, the management method for global system operation. GSI ERP methodology is composed of 3 Phase：Global Strategy Planning, Global Template Construction and Global Roll-Out. Phase1; Global Strategy Planning contains Environment Analysis, GSI direction and Implementation Plan. Phase2; Global Template Construction contains Business blueprint, GSI operation design and Global template implementation. Phase3; Global Roll-out contains local business analysis, local ERP implementation and Global ERP Operation.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.560-566
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• 2003

Recently, many researches on RC(Reconfigurable Computing) with highly complex FPGA's and reconfigurable processors have been reported, and even some attempts for commercialization have been successful. In this paper, we introduce the design methodology for implementing DES crypto algorithm on small-capacity FPGA by using its dynamic reconfigurability and a system-level verification technique. Throughout this design project, we could evaluate the effectiveness of this approach, which is the dynamic reconfigurability of FPGAs makes the efficient trade-off between the performance and the cost robustly viable.