• Korean Journal of Construction Engineering and Management
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• v.11 no.1
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• pp.29-37
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• 2010

In recent years, apartment finishing work items have increasingly become more upscale and diverse, and the kinds have increased in exponential numbers. A huge amount of information about finishing work items is produced and changed in the stages of planning finishing work item design and selecting alternatives in the early days of an apartment project. However, there are many problems raised by the poor information management of finishing work items. Thus this study suggested a cost-based information management system to manage information about finishing work items generated in the initial stage of an apartment project. In order to build the suggested system, the investigator designed an information management system based on the concepts and organization of system. And after setting a scenario of selecting finishing work items by conditions including the initial information values of finishing work items, information management for each alternative, and cost fix or free condition, I implemented and applied a prototype of an information management system for finishing work items among the participants including the project manager, interior designer, and builder.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.3
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• pp.11-24
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• 2016

The purpose of this study is to develop a recruiting platform resolving the mismatch between corporate job and job finder's competence in recruitment market. For this, we investigated technological trends and limitation on recruit platform. Based on the findings, this study investigates the trends and directions related to recruiting platform evolution and identified critical success factors and development strategies for successful development of recruiting platform. Two development strategies include employment of online resume and construction of database assessing job finder's competence. We also proposed target system architecture incorporating job database, competency assessment form, capability oriented resume. To analyze user requirement national competency standards and core job capability evaluation model were analyzed. Next, we designed integrated database, user interfaces, and dynamic functionalities using the forms developed in earlier stage. Finally, we assessed the fidelity of form item, integrity of database, and the usability of interface to evaluate the effectiveness of the system.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2002.05a
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• pp.9-14
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• 2002

인터넷에 기반한 학습 콘텐츠가 보편화됨에 따라 이에 대한 사용자들의 요구도 다양화되고 있다. 이중 컴퓨터에 기반한 평가(CBT: Computer Based Test) 시스템은 학술적으로나 경제적으로 최근 그 방법론이 평가 및 개발 분야에 있어 다양하게 진행되고 있다. 그러나 현재 개발된 대부분의 CBT 시스템 환경은 관계형 데이터베이스에 기반하여 개발되었기 때문에 다양한 형태의 문제를 구현하기 어려울 뿐만 아니라, 관리 측면에서도 높은 비용을 요구한다. 본 연구는 이러한 문제점이 문항 정보는 동적인데 비해, 기존 전산 정보 환경은 정적인 것에서 비롯되었다 보고, 이에 대한 구조적 해결책을 제시하기 위해 최근 그 사용이 급증하고 있는 XML(eXtensible Markup Language)을 이용하였다. 컴퓨터 환경 관점과 문항 저작 관점 모두를 충족시키기 위해 XML의 요소(element) 정의는 컴퓨터 친화적(computer friendly) 요소와 콘텐츠 친화적(computer friendly) 요소로 분류하고, 각 요소별로 중복되지 않는 정보 유형을 추출하였다. 본 연구결과를 활용할 경우 기존 관계형 데이터베이스에 비해 동적인 정보를 손쉽게 구현할 수 있을 뿐만 아니라, 다른 XML 문서와 동기화 작업을 거칠 경우 문항 세트를 손쉽게 확장할 수 있어 경제적이고 관리가 용이하여 관련 분야 연구를 촉진할 것이다.

• The Research Journal of the Costume Culture
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• v.7 no.1
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• pp.38-51
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• 1999

For a ideal construction of shoes, the exact analysis for shape and size of foot is necessary. This study was performed to classify and analyze the foot types of young males and females. For this, methods of cluster analysis, correspondence analysis and value of proportion were used. The subjects were 414 college students and 36 items, weight(1 item), height(8 items), length(6 items), breadth(6 items), girth(7 items), depth(3 items), slope(5 items) on foot were measured. The fundamental results of the study were as follow ; Difference in foot shape between men\`s and women\`s feet was not found below ankle girth. Based on cluster analysis the shapes of foot were classified into five groups, small but relatively slim group, small but relatively barrel group, middle group, large but relatively slim group and large but relatively barrel group. The types of foot had the distinguished dominant characteristics according to sex, weight and height. The results of this study show that there must be the suitable design of shoes for each foot type.

• Knowledge Management Research
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• v.19 no.4
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• pp.149-170
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• 2018

Healthcare lifelog, a personal record relating to disease treatment and healthcare, plays an important role in healthcare paradigm shifts in which medical and information technology converge. Healthcare services based on various healthcare lifelogs are being launched domestically by both large corporations and small and medium enterprises, however, they are being built on an individual platform that is dependent on each company. Therefore, the terms of lifelog data are different as well as the measurement specifications are not uniform. This study proposes a reference model for minimum common data required for sharing and utilization of healthcare lifelog. Literature study and expert survey derived 3 domain, 17 essential items, and 51 sub-items. The model provides definition, measurement data format, measurement method, and precautions for each detailed measurement item, and provides necessary guidelines for data and service design and construction for healthcare service. This study has its significance as a basic research supporting the activation of ecosystem by ensuring interoperability of data between heterogeneous healthcare devices linked to digital healthcare platform.

• Korean Journal of Construction Engineering and Management
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• v.19 no.6
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• pp.94-102
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• 2018

Recently, there is a growing need to review compliance with legal requirements to ensure fire safety as the number of fires caused by noncompliant fire safety facilities in high-rise buildings has increased. While there are a large number of apartment buildings in Korea, there is a lack of review on fire safety facilities' compliance with fire safety requirements. The reason for this lack of review despite apartment buildings causing deaths due to their structural features in the event of a fire, lies in the misinterpretation of legal provisions as the Building Act and the Fire Services Act are mixed up; a final inspection when fire safety facilities are unnecessarily installed or missing could result in significant losses in terms of finances and time. Therefore, this study developed a checklist that makes it possible to review mixed-up legal requirements for fire safety facilities simultaneously, and examined the importance and current level of each item through IPA (Importance Performance Analysis). Based on these results, this study intends to develop a manual that considers its applicability to construction practices and contribute to reducing construction companies' fire safety inspection risks.

• Korean Journal of Construction Engineering and Management
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• v.8 no.4
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• pp.176-184
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• 2007

Recently, in the korean construction industry, the importance of cost management in the building design process has been grown up institutional systems and policies for the cost management of design stages are however weakness. Traditionally, the range of cost management has been limited to the construction stages, and due to inefficiency of the infrastructure such as standards and building cost data for cost management. It has trouble to perform the cost management in building design process. This study intends to derive key influence factors for raising efficiency of cost management. With questionnaire surveys to professionals, we analyze a current situations and the influence of obstacle factors on cost management. Finally, the key influence factors are induced, based on the result of the analysis on influence the obstacle factors.

• Corrosion Science and Technology
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• v.8 no.3
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• pp.119-125
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• 2009

Corrosion assessment has a number of uses but the use considered here is as a precursor to Risk-Based Inspection (RBI) planning. Systematic methods consisting of technical modules of RBI program were used to assess the effect of specific corrosion mechanism on the probability of failure in equipments of petrochemical plants. Especially in part of the damage and corrosion assessment, screening step involved evaluating the combinations of process conditions and construction materials for each equipment item in order to determine which damage mechanisms are potentially active. For general internal corrosion, either API 510 or API 570 was applied as the damage rate in the calculation to determine the remaining life and inspection frequency. In some cases, a measured rate of corrosion may not be available. The technical modules of RBI program employ default values for corrosion, typically derived from published data or from experience with similar processes, for use until inspection results are available. This paper describes the case study of corrosion and damage assessment by using RBI methodology in petrochemical plant. Specifically, this paper reports the methodology and the results of its application to the petrochemical units using the $KGS-RBI^{TM}$ program, developed by the Korea Gas Safety Corporation to suit Korean situation in conformity with API 581 Codes.

• Journal of Internet Computing and Services
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• v.16 no.1
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• pp.67-74
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• 2015

In recent years, frequent itemset mining for considering the importance of each item has been intensively studied as one of important issues in the data mining field. According to strategies utilizing the item importance, itemset mining approaches for discovering itemsets based on the item importance are classified as follows: weighted frequent itemset mining, frequent itemset mining using transactional weights, and utility itemset mining. In this paper, we perform empirical analysis with respect to frequent itemset mining algorithms based on transactional weights. The mining algorithms compute transactional weights by utilizing the weight for each item in large databases. In addition, these algorithms discover weighted frequent itemsets on the basis of the item frequency and weight of each transaction. Consequently, we can see the importance of a certain transaction through the database analysis because the weight for the transaction has higher value if it contains many items with high values. We not only analyze the advantages and disadvantages but also compare the performance of the most famous algorithms in the frequent itemset mining field based on the transactional weights. As a representative of the frequent itemset mining using transactional weights, WIS introduces the concept and strategies of transactional weights. In addition, there are various other state-of-the-art algorithms, WIT-FWIs, WIT-FWIs-MODIFY, and WIT-FWIs-DIFF, for extracting itemsets with the weight information. To efficiently conduct processes for mining weighted frequent itemsets, three algorithms use the special Lattice-like data structure, called WIT-tree. The algorithms do not need to an additional database scanning operation after the construction of WIT-tree is finished since each node of WIT-tree has item information such as item and transaction IDs. In particular, the traditional algorithms conduct a number of database scanning operations to mine weighted itemsets, whereas the algorithms based on WIT-tree solve the overhead problem that can occur in the mining processes by reading databases only one time. Additionally, the algorithms use the technique for generating each new itemset of length N+1 on the basis of two different itemsets of length N. To discover new weighted itemsets, WIT-FWIs performs the itemset combination processes by using the information of transactions that contain all the itemsets. WIT-FWIs-MODIFY has a unique feature decreasing operations for calculating the frequency of the new itemset. WIT-FWIs-DIFF utilizes a technique using the difference of two itemsets. To compare and analyze the performance of the algorithms in various environments, we use real datasets of two types (i.e., dense and sparse) in terms of the runtime and maximum memory usage. Moreover, a scalability test is conducted to evaluate the stability for each algorithm when the size of a database is changed. As a result, WIT-FWIs and WIT-FWIs-MODIFY show the best performance in the dense dataset, and in sparse dataset, WIT-FWI-DIFF has mining efficiency better than the other algorithms. Compared to the algorithms using WIT-tree, WIS based on the Apriori technique has the worst efficiency because it requires a large number of computations more than the others on average.

• Korean Journal of Construction Engineering and Management
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• v.15 no.4
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• pp.11-19
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• 2014

Construction VE activities has occupies an important position as a key tool of the project in terms of budget and performance improvements. Reflecting this situation, VE application scope is being expanded than before. Thus, construction projects are required the continued research and development for effective use of construction VE. VE target choice method is the central part in the construction VE work. But, this has a problem with low utilization in practical terms. Accordingly, this study was developed the new methodology(PVTCM) for VE target selection of the construction VE work. Its contents are as follows: First, to analyze practical problem for VE target choice method through VE practical data. Second, to extract the high potential VE object based on the cost model and ideas similarity by excellent VE cases analysis. Third, to implement standardized VE object item by using affinity diagram for each construction type items. This research were conducted to experts interviews for comparison analysis with the cost model as one of a representative target selection method. As a result, proposed method were implemented significantly higher performance in terms of practical effectiveness than conventional method.