• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 B
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• pp.629-631
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• 1998

An adaptive joint-process IIR filter with generalized lattice structure is implemented by modifying the conventional lattice filter and making an adaptive algorithm in a system identification problem.

• 한국CDE학회논문집
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• 제16권4호
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• pp.285-291
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• 2011

A pose estimation process from medical images is calculating locations and orientations of objects obtained from Computed Tomography (CT) volume data utilizing X-ray images from two directions. In this process, digitally reconstructed radiograph (DRR) images of spatially transformed objects are generated and compared to X-ray images repeatedly until reasonable transformation matrices of the objects are found. The DRR generation and image comparison take majority of the total time for this pose estimation. In this paper, a fast DRR generation technique based on GPU parallel computing is introduced. A volume ray-casting algorithm is explained with brief vector operations and a parallelization technique of the algorithm using Compute Unified Device Architecture (CUDA) is discussed. This paper also presents the implementation results and time measurements comparing to those from pure-CPU implementation and open source toolkit.

• 한국전자거래학회지
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• 제4권3호
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• pp.139-158
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• 1999

In this paper we present the development of CITIS(Contractor Integrated Technical Information Service) reference model system which can be utilized for electronic commerce among enterprises. For the physical analysis target model, we selected switching system businesses of Korea Telecom. From analysis of life-cycle business process and data, we derived CITIS reference model containing CITIS To-Be model and CITIS scenario. Derived CITIS reference model is generalized so that it can be used not only for switching system businesses but other business areas regarding CITIS implementation. On the base of the derived CITIS reference model, We also developed CITIS information management system and CITIS-support workflow system as CITIS reference model system. Developed CITIS reference model system supports information and business process sharing among enterprises on internet and it does make a contribution to expansion of CITIS which is moving from conceptual research towards real implementation phase.

• 가정과삶의질연구
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• 제21권1호
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• pp.25-36
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• 2003

This study was conducted to reconstitute a family life education program for caregivers and to analyze the system of implementation. Based largely on a pre-existing program for caregiving families, I developed a new educational program. Personal time management and personal needs management were added in the content of the program order to help enhance self-esteem and internal control. The reconstituted educational program, which consists of 6 sessions, was implemented on a small group of caregivers in Jeollabukdo Province who support their elderly parents. The effectiveness of the program was evaluated by a pre-test, a post-test, a follow-up test and open-questionnaire reports. The results from the post-test suggest that the program has been effective in improving the knowledge on aging process, internal control and self-esteem. But the follow-up test results show the program has been effective only in improving the knowledge on aging process. According to the open-questionnaire reports, the program seems to have been effective in improving interpersonal relationships and changing attitudes toward their elderly parents.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.230-236
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• 2001

In this paper, we explored the possibilities of embedding Qualitative Reasoning techniques, the Qualitative Process Theory (QPT), and its implementation in the field of inorganic chemistry. The target field of implementation is Qualitative Chemical Analysis and Laboratory Simulation. By embedding such technique in this education software we aim to combine theory and practice into a single package. The system, are able to generate reasoning and explanation based on chemical theories, helping student in mastering basic chemistry knowledge and practical skill as well. We also review the suitability of embedding QPT techniques into chemistry in general, by comparing some examples from both fields.

• 전기학회논문지P
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• 제59권1호
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• pp.53-57
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• 2010

Low-density parity-check (LDPC) codes with belief-propagation (BP) algorithm achieve a remarkable performance close to the Shannon limit at reasonable decoding complexity. Conventionally, each iteration in decoding process contains two steps, the horizontal step and the vertical step. In this paper, an efficient implementation of the adaptive offset min-sum (AOMS) algorithm for decoding LDPC codes using the single-step method is proposed. Furthermore, the performances of the AOMS algorithm compared with belief-propagation (BP) algorithm are investigated. The algorithms using the single-step method reduce the implementation complexity, speed up the decoding process and have better efficiency in terms of memory requirements.

• 통상정보연구
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• 제7권2호
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• pp.139-162
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• 2005

The objective of this paper is to investigate important factors when one can consider an implementation of global e-trade. This paper in particular intends to derive which factors are significant at information strategic planning stage as well as its evaluation stage. Many works in the global e-trade area have been focusing on narrow research issues related to EDI implementation and trade process automation after trade contracts are legally made. Therefore, more complete and exclusive factors at pre-contract stage should be considered when one can make a strategic plan for global e-trade. Five factors are found to be important for global e-trade planning and those are: (1) corporate strategy, (2)trade process automation, (3)trade information technology & infrastructure, (4)organization & people, and (5)trade information technology utilization. An evaluation framework is developed in this paper and its empirical results are also provided.

• 한국정보시스템학회지:정보시스템연구
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• 제25권4호
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• pp.37-61
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• 2016

Purpose This study examines firms at various industries to identify key organizational characteristics that positively drive the evaluation of cloud computing. In addition, this study tests the impact of one's evaluation has on the adoption and integration of cloud computing within their respective firm. Design/methodology/approach A total of 172 responses from various firms currently using cloud computing service were analyzed using the structural equation modeling(SEM). Findings Results show that organizational Needs(Mobility and Job Relevance), Perceived Factors(Relative Advantages and Cost Savings), and Organizational Readiness(Technical Knowledge, Financial Supports, and Managerial Supports) have a significant impact on cloud computing evaluation; and evaluation influences its adoption, and integration. However, two variables(IT Performance Gaps and Compatibility) have no significant impact on cloud computing evaluation. Finally, Evolutional Leadership has a significant moderating effect within the relationship among variables in the process of cloud computing implementation.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 추계학술대회논문집A
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• pp.336-340
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• 2001

We propose an implicit numerical implementation for the Leblond's transformation plasticity constitutive equations, which are widely used in welded steel structure. We apply generalized trapezoidal rule to integrate the equations and determine the consistent tangent moduli. The implementation may be used with updated Lagrangian formulation. We test a simple butt-welding process to compare with SYSWELD and discuss the accuracy.

• 한국생산제조학회지
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• 제22권2호
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• pp.287-291
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• 2013

Fault Diagnosis is a process of detecting and isolating faults in a system. On demanding for safety and high reliability systems make it important for some reasons such as economical and environmental incentives. Especially embedded technology and IT technology combined with precise sensing techniques has been doing well developed and applied to fault diagnosis and prognosis in industrial systems like as automotive, ship, heavy industry and aerospace as well. This paper, as an empirical application of diesel engine, presents a method how to get raw data from physical systems, what to consider for successful implementation and which theoretic mathematical models should be applied. In a sense of system level Adaptive Filtering (we call Modified Kalman Filter) and a unit of part level Hidden Markov Process was developed and applied.