• International Journal of Naval Architecture and Ocean Engineering
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• 제12권1호
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• pp.428-439
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• 2020

The continuous development of information and communication technologies has resulted in an exponential increase in data. Consequently, technologies related to data analysis are growing in importance. The shipbuilding industry has high production uncertainty and variability, which has created an urgent need for data analysis techniques, such as machine learning. In particular, the industry cannot effectively respond to changes in the production-related standard time information systems, such as the basic cycle time and lead time. Improvement measures are necessary to enable the industry to respond swiftly to changes in the production environment. In this study, the lead times for fabrication, assembly of ship block, spool fabrication and painting were predicted using machine learning technology to propose a new management method for the process lead time using a master data system for the time element in the production data. Data preprocessing was performed in various ways using R and Python, which are open source programming languages, and process variables were selected considering their relationships with the lead time through correlation analysis and analysis of variables. Various machine learning, deep learning, and ensemble learning algorithms were applied to create the lead time prediction models. In addition, the applicability of the proposed machine learning methodology to standard work hour prediction was verified by evaluating the prediction models using the evaluation criteria, such as the Mean Absolute Percentage Error (MAPE) and Root Mean Squared Logarithmic Error (RMSLE).

• 한국컴퓨터정보학회논문지
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• 제21권11호
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• pp.93-101
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• 2016

In this paper, we propose a new model, assembled ERP, to analyze the reason why the small and medium sized companies have a low ERP implementation rate and to solve this. As a result of our analysis, the high initial costs and time required for implementing ERP keep such companies from implementing it as they have relatively limited resources. The assembled ERP model, however, reduces the scale of ERP by developing the ERP for the unique business of each and connecting a few 3rd-Party applications as a module to make ERP for common work. Also it enables easier data utilization by drawing up an API list that connects the 3rd-Party applications to the developed ERP when the user lacks knowledge in the master data of the 3rd-Party applications. Therefore it lets the small and medium sized companies introduce the ERP more easily by reducing the costs for ERP implementation and user training.

• 복식
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• 제51권2호
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• pp.121-133
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• 2001

The study is designed to classify consumer groups based on their clothing shopping orientation and to examine the relationship among clothing shopping orientation, satisfaction to the shop-master, and factors of the shop-master's nature to understand clothing shopping orientation of women from 18 to 35. The final analysis was performed with 447 (consumers) ailed 336 (shop-masters) pieces of questionnaire. The data was analysed with SAS statistics package. The results of this study are as follows : 1. Clothing shopping orientation were composed of four dimensions : recreational shopping orientation, convenience/economic shopping orientation, store/brand loyalty shopping orientation, and shopping confidence. 2. In the satisfaction to the shop-master, the consumer was not satisfied by the appearance, product-presentation, and consumer-management of the shop-master but kindness, trust, and product-explanation by the shop-master. The shop-master guessed that consumers were completely satisfied. 3. The consumer had an influence on product-understanding, response, and consumer-understanding of the shop-master, and the shop-master guessed that consumers had an influence on every thing of shop-master. 4. The more consumers were store/brand loyal, the more they were satisfied with tole shop-master, and had an influence on the factors of the shop-master's nature. But consumers were confident on the shopping, were not shown to be significantly different in the satisfaction of the shop-master and the factors of the shop-master's nature.

• 한국공간정보시스템학회 논문지
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• 제10권3호
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• pp.79-91
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• 2008

최근 이동체의 위치 데이타를 활용한 위치 기반 서비스에 대한 관심이 높아지면서 보다 효율적인 이동체 위치 데이타 관리 시스템으로 클러스터 기반 분산 컴퓨팅 구조인 GALIS(Gracefully Aging Location Information System)가 제시되었다. 그러나, GALIS의 서브 시스템인 SLDS(Short-term Location Data Subsystem)에서 SDP Master는 다수의 SDP(Short-term Data Processor) 노드들이 처리한 질의 결과를 취합하여 Client로 보내는 구조이기 때문에 SDP Master에 장애가 발생하거나 부하가 집중될 경우에 서비스가 중지되거나 Client로의 응답 시간이 길어지는 문제가 있다. 따라서, 본 논문에서는 기존 SLDS에 이중화를 지원하기 위해 SDP Master를 추가하여 기존 SLDS의 안정성과 가용성을 높이고 이동체 위치 데이타의 질의 처리 성능을 향상시킨 확장 SLDS를 설계 및 구현하였다. 확장 SLDS에서는 이중화된 두 대의 SDP Master를 가동하여 한 SDP Master에 장애가 발생하더라도 다른 SDP Master가 서비스를 계속 제공함으로써 현재 위치 데이타의 실시간성과 시스템의 안정성을 보장한다. 또한, 확장 SLDS는 두 대의 SDP Master가 질의 처리를 분산하여 수행하기 때문에 Client로의 응답 시간을 줄일 수 있다. 마지막으로 확장 SLDS의 장애 테스트와 질의 처리 성능을 실험하였으며, 이러한 실험을 통해 확장 SLDS의 고신뢰성 및 고가용성을 검증하였다.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.897-907
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• 2020

The development of information technology and the demands of society on an application in an operating system, as well as increasing the specifications and sophistication of smartphones, require banks to make changes to their mobile banking applications. The transformation of the mobile banking application into a digital banking application conducted by banks has made users re-evaluate based on their preferences. This study presents the behavior of users of digital banking applications in Yogyakarta, Indonesia. The hypothesis model is based on Technology Acceptance Model (TAM) with additional factors of the social image, perceived risk and perceived trust adopted from Muñoz-Leiva et al. (2017). The methodology in this study includes data collection through questionnaires distributed online and data analysis using the Structural Equation Model. The results of this study illustrate that the perceived trust and perceived risk have a more dominant part in influencing user attitude and user intention to use digital banking. Meanwhile, social image, perceived ease-of-use and perceived usefulness are not significant in influencing user attitude and user intention to use digital banking. The implication of this research helps to determine the right communication and strategy so that more users with more benefits can utilize this digital banking application.

• Journal of Information Technology Applications and Management
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• 제20권1호
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• pp.1-17
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• 2013

It has been found that users' characteristics are important variables that explain information systems adoption. These user groups, which are called COIs (Community Of Interests), might show different behaviors to each other to the same information system. We study differences in MDM (master data management) system adoption between military users and SI developers using TAM (Technology Acceptance Model). In case of military users, the perceived usefulness of an MDM system does not have impacts on intention to use an MDM system. Only the ease of use of an MDM system has impacts on intention to use an MDM system. However, in case of SI developers, both the perceived usefulness and the ease of use of an MDM system have impacts on intention to use an MDM system, which are similar to findings in previous studies. These results might be interpreted that users do not pay much attention to the usefulness in adopting a new information system in a centralized organization. They are obligated to use an information system whether it is useful or not. Thus the ease of use has more impacts on users than the usefulness.

• 환경영향평가
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• 제12권1호
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• pp.1-8
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• 2003

The Master Plan of Natural Environment Conservation in Korea by Ministry of Environment has been carried out since 1986. The 2nd 10-year survey started in 1997, and there are three major parts in the Master Plan : First, the basic natural environment survey, second, sites in special features of ecological characteristics such as uninhabitable islands, wetlands, etc, and third, biological species featuring status of habitat, and population dynamics. However the information in the Master Plan is very fragmented and collected data are not so abundant due to insufficient man-power and unsynchronized survey time/season. In this regard this paper examined the similar National Biological Survey in USA and compared the differences with the Master Plan in Korea. The Master Plan in Korea should separate the management zone based on hydrological characteristics, and in each zone we should set a management goal in the long term basis. Secondly the species list is not so meaningful that we must concentrate more on research activities. In each taxonomical group we set up hypotheses and research goals. Thirdly local residents and communities should be involved in research so that enhanced biological diversity should benefit people in areas. Lastly legislation and laws should be reexamined and rectified to provide information to the managers that deals with natural resources, expecially when conflicting with economic matters.

• 한국철도학회논문집
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• 제7권4호
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• pp.406-411
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• 2004

BOM(Bill of Materials) is a listing or description of raw materials, parts, and assemblies that define a product. In order to evaluate the performance of proposed BOM management system, which is very important to maintenance information system of urban transit. We develop component based BOM data and rule-set to design data structure that is mutually independent and integrated efficiently. It divides data whit management interface using component technology. The component based master BOM have advantage in database size and flexibility. Flexibility is measured as the number of updating records in accordance with added new product or engineering change. In database size, component based BOM is the best. we develop master BOM management system in web environment.

• 한국도서관정보학회지
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• 제44권1호
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• pp.201-225
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• 2013

메타데이터 요소들 사이의 매핑에 기반한 현재의 메타데이터 상호운용성 접근방식이 지닌 한계를 극복하기 위해, 본 연구에서는 마스터 데이터를 활용한 메타데이터 상호운용성 접근방식을 제안하고 있다. 이는 메타데이터 요소가 아닌 요소의 값을 기준으로 동일한 값을 지니는 요소를 마스터 요소를 중심으로 통합하는 방식이다. 이를 위해 마스터 요소 프레임워크를 구축하여 메타데이터 요소들을 계층적인 형태로 의미적으로 통합하고, 이를 기반으로 메타데이터 레코드 사이의 상호연결을 확보함으로써 메타데이터 상호운용성을 확보할 수 있다. 이는 메타데이터 상호운용성을 확보하기 위한 대안적인 방법으로 활용될 수 있다.

• 대한기계학회논문집A
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• 제29권1호
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• pp.124-131
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• 2005

BOM(Bill of Materials) is a list or description of raw materials, parts and assemblies that define a product. Although it is very important for maintenance information system of urban transit, it has problems that the size of database, inaccuracy and the flexibility which is measured as the number of updating records in accordance with added new product or engineering change. To solve these, we divide BOM to a master BOM and various function BOM constructed from the master BOM. That is the component based BOM management system, which is mutually independent and integrated efficiently using component technology. Consequently, after defining the component based master BOM, it is easy to manage the data structure, even restruct, in case there is a need for change of environment or data.