• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.11-19
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• 2015

This paper presents optimized artificial neural networks (ANNs) claims prediction and decision awareness framework that guides owner organizations in their pre-bid construction project decisions to minimize claims. The framework is composed of two genetic optimization ANNs models: a Claims Impact Prediction Model (CIPM), and a Decision Awareness Model (DAM). The CIPM is composed of three separate ANNs that predict the cost and time impacts of the possible claims that may arise in a project. The models also predict the expected types of relationship between the owner and the contractor based on their behavioral and technical decisions during the bidding phase of the project. The framework is implemented using actual data from international projects in the Middle East and Egypt (projects owned by either public or private local organizations who hired international prime contractors to deliver the projects). Literature review, interviews with pertinent experts in the Middle East, and lessons learned from several international construction projects in Egypt determined the input decision variables of the CIPM. The ANNs training, which has been implemented in a spreadsheet environment, was optimized using genetic algorithm (GA). Different weights were assigned as variables to the different layers of each ANN and the total square error was used as the objective function to be minimized. Data was collected from thirty-two international construction projects in order to train and test the ANNs of the CIPM, which predicted cost overruns, schedule delays, and relationships between contracting parties. A genetic optimization backward analysis technique was then applied to develop the Decision Awareness Model (DAM). The DAM combined the three artificial neural networks of the CIPM to assist project owners in setting optimum values for their behavioral and technical decision variables. It implements an intelligent user-friendly input interface which helps project owners in visualizing the impact of their decisions on the project's total cost, original duration, and expected owner-contractor relationship. The framework presents a unique and transparent hybrid genetic algorithm-ANNs training and testing method. It has been implemented in a spreadsheet environment using MS Excel$^{(R)}$ and EVOLVERTM V.5.5. It provides projects' owners of a decision-support tool that raises their awareness regarding their pre-bid decisions for a construction project.

• Journal of the korean academy of Pediatric Dentistry
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• v.34 no.1
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• pp.19-26
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• 2007

The purpose of this study is to evaluate oral health status, caries-inducing bacterial activity of the mental retardation students, and developing motivation method for improving oral hygiene management by clarifying the relationship between caries-inducing bacterial activity and oral health status of mental retardation students. Caries experience indices, caries susceptibility test, gingival health evaluation, and oral hygiene management and oral health survey were performed. Results were as follows : 1. The DMFT index of disabled students(12 years) was 2.07. 2. The gingival inflammation was occurred more frequently in older ages. 3. There also was a high positive correlation between caries incidences and the results of caries-inducing bacterial activity test especially in deciduous teeth. This result suggested that the Dentocult SM mutans test as a caries activity test is a reliable method for measuring the status of dental caries in mental retardation students. Because it would motivate the mental retardation students to care more actively for their oral hygiene if they learn how much dental caries-inducing bacteria are living in their mouth by observing the bacterial colony on the cultured test strip, it can become a possibly efficient educational tool for the mental retardation students.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.649-665
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• 2018

In this study, we extracted the core competencies of makers through the analysis of critical incident technique and behavioral event interview to explore the nature and attributes of maker education, and then we developed a maker competency model based on these core competencies. As a result, six competency groups and 23 sub-competencies were extracted. In other words, we were able to confirm the existence of integrated thinking competency group consisting of four competencies made up of 'analytic thinking', 'intuitive thinking', 'visual thinking', and 'empirical thinking' and that of collaborative competency group with four competencies of 'sharing', 'communication', 'conflict management', and 'scrupulosity'. In addition, we could also confirm the existence of making mind competency group, which is composed of four competencies namely 'interest in various areas', 'challenge consciousness', 'failure management', and 'pleasure of the making process'. We could also confirm that human-centered competence group consisting of two competencies of 'humanity' and 'user-oriented' and the problem-finding competence group consisting of two competencies of 'observation' and 'recognition of discomfort in daily life'. Lastly, the making practice competency group is composed of seven competencies: 'understanding making tool', 'understanding electricity', 'understanding programming', 'planning', 'hand knowledge', 'information search', and 'direct execution'. We discussed educational implications of these findings.

• Management & Information Systems Review
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• v.33 no.1
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• pp.219-235
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• 2014

This study investigate the smart phone that is not included in the studies that test the effect of added functionalities to convergence products. There are several questions that PDA, MP3 players that are added a certain function can be good convergence product that consumers love and these are the products that has problem of decrease of sales volume because of the development of smart phone. It is a little bit strange to test these product for this study, so this study suggest a little different research tool compared to the past studies. The research implications are follows like theses. Brand awareness is important factor that decrease the uncertainties and risks specially when a innovative tech is added to smart phone. A situation that a innovative tech is added to smart phone is best to get the consumer's perceived innovativeness, value, and buying intention. And a situation that a innovative tech is added to smart phone in the context of low brand awareness is better than a situation that various normal teches are added to it.

• Management & Information Systems Review
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• v.38 no.4
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• pp.41-60
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• 2019

The purpose of this study is to investigate the effect of salesperson's adaptive selling tactics on consumers who purchase Small and Medium Enterprises' product with the help of salespeople in the store. Specifically, we examine whether salesperson's adaptive selling tactics affect consumers hedonic shopping value and utilitarian shopping value. Furthermore, we try to figure out the effect of shopping value on the salesperson relationship commitment and consumer product satisfaction. The subjects of this study have surveyed the consumers with experience in purchasing SME's products through salespeople in the Gyeongnam area. As data process, SPSS 21.0 was used as the analysis tool and AMOS 21.0 was used to analyze the structural equation model. The implications of these findings are as follows. First, the salesperson's role has a positive effect on the consumer's product satisfaction. Second, it can be suggested that the salesperson's adaptive selling tactics are an important variable affecting the consumer's shopping value. Third, the results on the consumers who have hedonic shopping value have a strong positive influence rather than the consumers who have the utilitarian shopping value. The adaptive selling tactics of the salesperson should be encouraged to increase sales performance. In order to generate more performance in a competitive market environment, it is necessary to continuously strive to increase contact between the salesperson and the consumer in order to improve the quality of the relationship.

• Journal of Korea Water Resources Association
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• v.41 no.12
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• pp.1187-1198
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• 2008

Many reservoirs in Korea and their downstream environments are under increased pressure for water utilization and ecosystem management from longer discharge of turbid flood runoff compared to a natural river system. Turbidity($C_T$) is an indirect measurement of water 'cloudiness' and has been widely used as an important indicator of water quality and environmental "health". However, $C_T$ modeling studies have been rare due to lack of experimental data that are necessary for model validation. The objective of this study is to validate a coupled three-dimensional(3D) hydrodynamic and particle dynamics model (ELCOM-CAEDYM) for the simulation of turbid density flows in stratified Daecheong Reservoir using extensive field data. Three different groups of suspended solids (SS) classified by the particle size were used as model state variables, and their site-specific SS-$C_T$ relationships were used for the conversion between field measurements ($C_T$) and state variables (SS). The simulation results were validated by comparing vertical profiles of temperature and turbidity measured at monitoring stations of Haenam(R3) and Dam(R4) in 2004. The model showed good performance in reproducing the reservoir thermal structure and propagation of stream density flow, and the magnitude and distribution of turbidity in the reservoir were consistent with the field data. The 3D model and turbidity modeling framework suggested in this study can be used as a supportive tool for the best management of turbidity flow in other reservoirs that have similar turbidity problems.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.256-261
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• 2008

The curtain-wall work has been more frequently applied in the construction industry since demand of high-rise buildings has been increased. The curtain-wall work is usually performed with the frame work simultaneously for reducing construction period, but it might be delayed because of several problems caused by interference of process. However, there is not an appropriate tool which can be used by a work manager for adjusting quantity of the construction equipments or the workers when the curtain-wall work was delayed. To resolve this problem a construction simulation anticipating and analyzing potential problems before starting the work can be applied in the curtain wall work. This research suggests a general model for the curtain-wall work by using construction simulation and produces a combination of construction equipments and workers which can estimate optimum work productivity.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.92-102
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• 2013

A Project Financing (PF) is a form of project delivery system that is carried out for the purpose of trying to give help to the development of national economy and the construction industry in order attract private investment. However, in the case of Korea, many PF projects are only taking into account the aspect of maximizing development benefits, and the proliferation of PF results in project failure. In addition, the interruption of business has been one after another in the aftermath of the recent financial crisis. These major cause is the result of efforts to block the potential risk of objectively quantifying operations. Nowadays, PF risk analysis in terms of various factors is insufficient. The purpose of this study is to identify and quantify the extensive risk elements to classify the cause of affecting the success of the project PF study prior to propose a methodology for evaluating the integrity of the project PF based on this and to provide a quantitative system that can evaluate the business risk. This study identified the factors that affect the PF business success and failure and establish the metrics that can be quantified through existing research and expert interviews. Factors influencing the success of the PF obtained as a result of surveys and interviews in assessing the soundness of the PF development conditions in the future be able to take advantage of, as well as an objective assessment tool to be able to take advantage of the development is expected.

• Journal of Korean Society for Geospatial Information Science
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• v.11 no.2 s.25
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• pp.17-28
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• 2003

Since 1970s, Seoul Metropolitan Area has been growing in physical and demographic aspect. A number of new urban fringes, New City, had been particularly developed from the early of 1990s. To examine the urban growth, the population density maps are generally used to the efficient urban management tool. The density maps from political boundaries, however, were traditionally used to estimate an urban concentration, there is problems to apply directly to urban management decision making due to (i) the abrupt changes between boundaries and (ii) the inclusion of green areas and forests in these areas. The mass-preserving interpolation method, the Pycnophylactic interpolation, could provide more realistic density maps. In addition, the classified urban areas from satellite images corresponding years would turn out to be more reliable results since populations were only applied to urbanized areas. Even though the Pyconophylactic method makes the density larger, it would be useful to produce a general urban growth trend at large scale. Consequently, four different density maps are compared and reviewed for this study, and the cross-sectional analysis provided to glimpse of population density around the city center.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.229-239
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• 2016

The aim of this paper is to extend the TOPSIS(Technique for Order Performance by Similarity to Ideal Solution) to the fuzzy environment for solving the new professor selection problem in a university. In order to achieve the goal, the rating of each candidate and the weight of each criterion are described by linguistic terms which can be expressed in trapezoidal fuzzy numbers. In this paper, a vertex method is proposed to calculate the distance between two trapezoidal fuzzy numbers. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all candidates. This research derived; 1) 4 evaluation criteria(research results, education and research competency, personality, major suitability) for new professor selection, 2) the 5 step procedure of the proposed fuzzy TOPSIS method for the group decision, 3) priorities of 4 candidates in the new professor selection case. The results of this paper will be useful to practical expert who is interested in analyzing fuzzy data and its multi-criteria decision-making tool for personal selection problem in personal management. Finally, the theoretical and practical implications of the findings were discussed and the directions for future research were suggested.