• Journal of Information Technology Services
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• v.10 no.2
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• pp.61-74
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• 2011

SMEs(Small and Medium-sized Enterprises) have implemented the various IT-based Production Information Systems(PIS) to cope with the highly competitive environment as well as to improve their competitiveness and productivity. For the efficient development of PIS In SMEs, standardizing the system development process is required. Methodology for the development of PIS is especially important for the systematic and efficient implementation to communicate among the SI companies, SMEs, and a supervision agency. TIPA(Korea Technology and Information Promotion Agency for SMEs) has developed PSDM(Production System Development Methodology), and supplies it to the SI companies. The research goal of this paper is to explore the productivity improvement by adopting the PSDM with the cases of SI companies applied PSDM. The results show that such benefits as risk management, productivity improvement, easy system implementation and maintenance are perceived by PSDM Users. This research could be the first case study reveal the effectiveness of PSDM. For further research, the survey could be carried out with more samples.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.2
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• pp.535-543
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• 2008

This study aims to derive the conversion factor of oriental medicine based on the publicly available information to overcome the problem of the small sample size and reliability of cost analysis which spend much data gathering expense in spite of small sample. This study confirms the fairness and validity of results of analysis by using the publicly available information composed of large sample. Because of the large variation of the conversion factor depending on the types of data and methodologies, it is required to use the analysis using publicly available information in company with the cost analysis. build the health data system for cost analysis. For more reasonable conversion factor, it is urgent to construct the healthcare data system including the individual oriental medicine office.

• Asia pacific journal of information systems
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• v.8 no.3
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• pp.37-49
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• 1998

The basic goal of CALS is to improve transactions and relationships among organizations through information sharing and integration. CALS is an information strategy which needs strong cooperation between organizations or between users and developers in design step. However, current design methodologies using IDEF models, that are considered to be standard for CALS system development, has some limitations. For example, it is difficult for system developers to communicate with counterparts by IDEF model since IDEF models are difficult for counterparts to understand. In this paper, we suggest a development methodology for GALS systems by complementing IDEF model with Document Trace Diagram, which we developed as a communication tool, The concept of Document Trace Diagram stems from the fact that most information exchanged within or between organizations is in the form of documents and most standard operating procedures of organizations are about processing the documents. It helps system developers identify functions and their ICOMs (Input, Control, Output, Mechanism) with ease and little communication cost. With this methodology, we have constructed the GALS prototype system for construction industry.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.227-240
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• 2011

New concepts and ideas often result from extensive recombination of existing concepts or ideas. Both researchers and developers build on existing concepts and ideas in published papers or registered patents to develop new theories and technologies that in turn serve as a basis for further development. As the importance of patent increases, so does that of patent analysis. Patent analysis is largely divided into network-based and keyword-based analyses. The former lacks its ability to analyze information technology in details while the letter is unable to identify the relationship between such technologies. In order to overcome the limitations of network-based and keyword-based analyses, this study, which blends those two methods, suggests the keyword network based analysis methodology. In this study, we collected significant technology information in each patent that is related to Light Emitting Diode (LED) through text mining, built a keyword network, and then executed a community network analysis on the collected data. The results of analysis are as the following. First, the patent keyword network indicated very low density and exceptionally high clustering coefficient. Technically, density is obtained by dividing the number of ties in a network by the number of all possible ties. The value ranges between 0 and 1, with higher values indicating denser networks and lower values indicating sparser networks. In real-world networks, the density varies depending on the size of a network; increasing the size of a network generally leads to a decrease in the density. The clustering coefficient is a network-level measure that illustrates the tendency of nodes to cluster in densely interconnected modules. This measure is to show the small-world property in which a network can be highly clustered even though it has a small average distance between nodes in spite of the large number of nodes. Therefore, high density in patent keyword network means that nodes in the patent keyword network are connected sporadically, and high clustering coefficient shows that nodes in the network are closely connected one another. Second, the cumulative degree distribution of the patent keyword network, as any other knowledge network like citation network or collaboration network, followed a clear power-law distribution. A well-known mechanism of this pattern is the preferential attachment mechanism, whereby a node with more links is likely to attain further new links in the evolution of the corresponding network. Unlike general normal distributions, the power-law distribution does not have a representative scale. This means that one cannot pick a representative or an average because there is always a considerable probability of finding much larger values. Networks with power-law distributions are therefore often referred to as scale-free networks. The presence of heavy-tailed scale-free distribution represents the fundamental signature of an emergent collective behavior of the actors who contribute to forming the network. In our context, the more frequently a patent keyword is used, the more often it is selected by researchers and is associated with other keywords or concepts to constitute and convey new patents or technologies. The evidence of power-law distribution implies that the preferential attachment mechanism suggests the origin of heavy-tailed distributions in a wide range of growing patent keyword network. Third, we found that among keywords that flew into a particular field, the vast majority of keywords with new links join existing keywords in the associated community in forming the concept of a new patent. This finding resulted in the same outcomes for both the short-term period (4-year) and long-term period (10-year) analyses. Furthermore, using the keyword combination information that was derived from the methodology suggested by our study enables one to forecast which concepts combine to form a new patent dimension and refer to those concepts when developing a new patent.

• Korean Journal of Remote Sensing
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• v.28 no.1
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• pp.55-67
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• 2012

Real-time image georeferencing is required to generate spatial information rapidly from the image sequences acquired by multi-sensor systems. To complement the performance of position/attitude sensors and process in real-time, we should employ on-line aerial triangulation based on a sequential estimation algorithm. In this study, we thus attempt to derive an efficient on-line aerial triangulation algorithm for real-time georeferencing of image sequences. We implemented on-line aerial triangulation using the existing Given transformation update algorithm, and a new inverse normal matrix update algorithm based on observation classification, respectively. To compare the performance of two algorithms in terms of the accuracy and processing time, we applied these algorithms to simulated airborne multi-sensory data. The experimental results indicate that the inverse normal matrix update algorithm shows 40 % higher accuracy in the estimated ground point coordinates and eight times faster processing speed comparing to the Given transformation update algorithm. Therefore, the inverse normal matrix update algorithm is more appropriate for the real-time image georeferencing.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.116-130
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• 2023

Expressways play pivotal roles in cargo transportation because of their superior accessibility and mobility compared to rail and air. On the other hand, there is a limit to the accurate calculation of cargo transportation performance using existing highways owing to the mixture of vehicle types and difficulty in identifying cargo loads of individual cargo vehicles. This paper presents an algorithm for calculating more reliable cargo transportation performance using big data. The traffic performance (veh·km/day) was derived using the data collected from Toll Collecting System. The average tolerance weight for each vehicle type and the cargo load unit (ton/unit) considering it was calculated using vehicle specification information data and high-speed and low-speed axis data. This study calculated the cargo transportation performance by section and type using various online integrated highway data and presented a method for calculating the transportation performance by linking open business offices and private highways.

• Spatial Information Research
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• v.14 no.3 s.38
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• pp.271-284
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• 2006

This study suggests the adjustment method of cadastral non-coincidence using spatial data referenced digital cadastral map and a present state. In designing the methodology, we should introduce the semi-automatic method for guaranteeing the stability and the accuracy at the arrangement of cadastral non-coincidence based on some cadastral specialist. This study could mainly show you rotation type, bias type, and rotation/bias type among cadastral non-coincidence types. We selected the matching reference point through the prototype system which automatically arranges in the study area. And then, we analysis the optimum rotation ratio(-0.4%). Finally, this paper show you calibrating cadastral non-coincidence using the rotation ratio. The methodology of this study has a limitation for arranging in case of cadastral non-coincidence by the area variation and some irregular types with unknown reason. Therefore, this case should be surveyed in direct method.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.55-55
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• 2017

가뭄은 국민생활 및 경제 등에 막대한 손실을 초래하며, 지역사회 공동체나 사회기능에 심각한 영향을 끼칠 수 있는 재해이다. 가뭄피해 최소화를 위해서는 단기대응, 복구지원 등의 사후대책에서 사전대비 및 예방으로의 정책 전환이 필요하며, 이러한 정책 수립을 뒷받침하기 위해서는 가뭄에 따른 정량적인 피해영향 평가가 우선적으로 필요하다. 하지만 가뭄 피해의 범위 및 형태는 워낙 광범위하기 때문에, 피해추정을 위한 잣대라 할 수 있는 영향평가 기법조차 제대로 정립되지 못하고 있는 실정이다. 국내에서는 분야별(기상, 농업, 수문)로 지수화 된 지표를 이용한 가뭄 평가가 주로 수행되고 있으며, 경제적 영향평가는 방법론에 대한 시범 연구 수준이다. 가뭄기록조사 등 과거 가뭄피해 자료에서도 피해액의 금액환산이 되지 않은 사례가 대부분이며 급수차지원, 관정개발 등 사후복구비 위주의 일부 자료만이 피해금액으로 제시되어 있을 뿐이다. 댐, 저수지 등에 의한 용수공급 안정성으로 인해, 기상학적인 가뭄이 즉시 물부족으로 인한 피해로 이어지지는 않지만, 물부족이 발생하거나 부족량이 예측되는 상황에서 피해규모를 시스템적으로 추정 및 비교할 수 있는 기법 개발의 필요성에 의해 잠재피해액 개념의 공급지장비용 추정기법을 개발하였다. 공급지장비용 또는 편익 도출을 위한 이론적 배경으로, 경제적 가치 또는 파급효과를 분석하기 위한 방법은 경제학적 접근법과 비경제학적 접근법으로 구분된다. 경제학적 접근법에서 사용하는 진술선호 기법의 경우 전국을 대상으로 설문 등의 과정을 거쳐 지불의사액을 도출하는 과정이 필요하기 때문에 많은 조사비용이 소요된다. 비경제학적 또는 공학적 접근법으로 분류되는 대체비용법은 이론적 배경이 약하고 대체항목의 선택에 주의가 필요하다는 단점이 있으나, 물가자료, 산업통계, 수자원통계 등 기초자료의 주기적 업데이트가 유리하며, 정신적 피해를 제외할 경우 피해비용 추정결과의 편차가 진술선호기법 보다는 작은 장점이 있다. 본 연구에서는 피해비용의 과대추정에 유의하여 대체비용법에 기반한 일본 후생노동성의 감 단수피해추정기법을 우리나라 자료에 맞게 수정하여 공급지장비용을 추정하였으며, 경제학적 접근법에 의한 용수의 한계가치비용 등과 비교를 통해 적용성을 검토하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.533-538
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• 2008

The introduction of KTX (Korea Train Express) has brought an historic change to the overall transit system in Korea. The high-speed railway stations in particular are expanding the scope as public transit centers. However, it is evident that the evaluation on the high-speed railway stations had not been performed successfully thus far. The most important element of the evaluation is the connectivity of the departure point to the arriving stations and also the internal transfer service stations. We developed the service evaluation indicators of transfer facilities in the high-speed railway stations. The indicators are comprised of the level of service (LOS), the propriety of allocation, and the quality of information throughout the facilities in the centers. We examined the 7 stations in Korea that are currently in operation and standardized the methodology of the evaluation process by applying the indicators suggested in this study.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.3
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• pp.215-220
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• 2018

This paper limited the participation of large corporations in the mass information market by revising the Software Industry Promotion Act in order to increase business opportunity, equality of opportunity, and capacity building for small and medium sized IT companies. However, it is a fact that the medium and small SW companies have insufficient business capacity and expose various problems such as quality degradation of public information business, inadequate risk management, and deterioration of schedule management. In order to solve this problem, this paper derived the factors of quality deterioration in the system integration project and proposed to carry out the project by using some activities of VISUALIZATION, rigorous test management and Agile Methodology as a solution. Applying these measures to healthcare IT projects developed by midsize / small-sized IT companies has improved communications, improved quantitative progress management and improved project visibility. In addition, it contributed to minimizing defect resolution time, improving the requirement coverage ratio, and shortening unnecessary meeting time.