• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.1009-1016
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• 2015

In this paper, we propose EPCM(Efficient Prediction-based Context-awareness Matrix) algorithm analyzing connectivity by predicting cluster's context data such as velocity and direction. In the existing DTN, unrestricted relay node selection causes an increase of delay and packet loss. The overhead is occurred by limited storage and capability. Therefore, we propose the EPCM algorithm analyzing predicted context data using context matrix and adaptive revision weight, and selecting relay node by considering connectivity between cluster and base station. The proposed algorithm saves context data to the context matrix and analyzes context according to variation and predicts context data after revision from adaptive revision weight. From the simulation results, the EPCM algorithm provides the high packet delivery ratio by selecting relay node according to predicted context data matrix.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.226-233
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• 2012

Purpose: The purpose of this study was to develop and analyze the effectiveness of an education program counseling manual (EPCM) for community-based visiting nurses. Methods: Seventy-eight of community-based visiting nurses was enrolled in this study. Data were collected using structured questionnaires and analyzed using descriptive statistics, the ${\chi}^2$-test, and the paired t-test in SPSS version 18.0. Results: Nurses had higher mean scores for counselor activity self-efficacy: skill self-efficacy, session management self-efficacy and counseling challenges self-efficacy, after EPCM than before EPCM. Significant differences were found after applying the EPCM. Conclusion: The results of this study indicate that the EPCM is effective at improving counselor self-efficacy of community-based visiting nurses.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37C no.12
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• pp.1222-1229
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• 2012

For the reduction of electric energy consumption and its efficient use at homes or buildings, a new work item proposal for new architecture and functional requirements of Energy Saving System (ESS) was proposed to IEC TC 100 and accepted as a new project, IEC PT 62654 in 2009. Recently, the final ballot for publication passed without negative votes and IEC TS 62654 was finally published in August 2012. For the verification of this standard, Prototype of ESS system composed of an ESS server, ESS clients, and portable ESS terminal were especially implemented in parallel with the standardization. Electric Power Control and Management (EPCM) protocol for the communication between ESS server and clients was also implemented, which supports self-configuration of ESS network, power consumption monitoring, remote power control, and additional functions for intelligent energy saving services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.524-525
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• 2013

동적 움직임을 가지는 노드에 대한 DTN(Delay/Disruption Tolerant Network)은 노드의 연결단절 및 불규칙적인 노드의 움직임에 의한 불안정한 상태를 해결하는 방법 중 하나이다. 특히 DTN은 재난상황 또는 움직임이 많은 노드간의 상관관계를 분석하여 노드 간 연결 확립을 보장함으로써 데이터 연결성과 전송률을 개선한다. 본 논문은 노드의 움직임에 대한 속성 정보를 기반하여 구성된 클러스터 구조의 네트워크에서 헤드노드 간의 연결 가능성을 분석하며 데이터를 목적지까지 포워딩하는 방식으로 망을 제어 유지하기 위한 방법으로 EPCM(Efficient Prediction-based Context-Awareness Matrix) 알고리즘을 제안하고자 한다. 이를 위해 적용한 상황 매트릭스는 시간에 따른 헤드노드들의 움직임과 속도 등의 상황 예측이 가능한 정보를 포함한 포워딩 분석 요소를 제공한다. EPCM 알고리즘은 노드가 주기적인 이동성을 가진다는 가정 하에 포워딩에 요구되는 상관관계를 연산 분석하여 예측 경로를 제공한다. 노드의 이동에 의해 경로가 변화하는 환경에서 EPCM 알고리즘은 상황 매트릭스를 통해 헤드노드의 연결 정보를 저장하고 관리함으로써 연결성을 보장하고 짧은 지연시간에 효율적인 전송이 가능할 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.397-399
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• 2014

DTN(Delay/Disruption Tolerant Networks)은 노드의 불규칙적인 움직임으로 인한 연결단절과 불안정한 연결 상태를 극복하기 위해 효율적인 포워딩 전략이 필요하다. 제시하는 알고리즘은 노드의 속도, 방향 등의 상황정보를 활용하며 이를 통해 이후의 이동성을 예측하여 포워딩할 중계노드를 선택하기 위한 방법을 고려한다. 본 논문에서는 중계노드들의 상관관계를 분석하여 안정된 경로를 제공하기 위해 노드의 상황정보를 예측하는 EPCM(Efficient Prediction-based Context-awareness Matrix) 알고리즘을 제안한다. 이를 위해 상황 매트릭스라는 상황 분석 도구를 사용하여 시간에 따라 상황정보를 저장하고, 변화의 추이를 분석하여 노드의 속도, 방향 등의 정보를 예측하는데 활용된다. EPCM 알고리즘은 예측된 상황정보를 활용하여 노드 간 미래의 연결성을 분석하고 중계노드를 선택함으로써 안정된 포워딩 경로를 제공할 수 있고, 불필요한 포워딩으로 인한 자원 낭비를 방지할 수 있다. 제안하는 알고리즘을 시뮬레이션 해본 결과 예측된 상황정보의 값이 실제의 값에 대하여 약 2%내의 오차율을 나타내어 예측의 정확도를 확인하였다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.233-235
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• 2012

Continually having growed up overseas construction market for new Nuclear Power Plant(NPP), the exports of Korean Reactor emerges as the key task of National Nuclear Business. The objective of this study is to strengthen the competitiveness of Korean Reactor through the improvement of Construction Project Contract & Delivery System for NPP. This study suggests the method for increasing Korean Reactor's competitiveness of exports by analyzing the business environment of foreign market and comparing Contract & Delivery System between domestic and foreign.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.5
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• pp.1020-1030
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• 2016

This paper propose an improving relay node selection method for node-to-node connectivity. This concern with the mobility and analysis of deployed for masking operation using highest connectivity node. The major of Delay Tolerant Network (DTN) routing protocols make use of simple forwarding approach to transmit the message depend on the node's mobility. In this cases, the selection of the irrelevant mobile node induced the delay and packet delivery loss caused by limiting buffer size and computational power of node. Also the proposed algorithm provides the node connectivity considering the mobility and direction select the highest connectivity node from neighbor node using masking operation. From the simulation results, the proposed algorithm compared the packet delivery ratio with PROPHET and Epidemic. The proposed Enhanced Prediction-based Context-awareness Matrix(EPCM) algorithm shows an advantage packet delivery ratio even with selecting relay node according to mobility and direction.

• International Area Studies Review
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• v.21 no.2
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• pp.143-169
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• 2017

This paper empirically examines how capital structure inertia varies across industries and there is different in industries, and whether this fact is explained by product market competition using non-financial firms listed in KOSP market over periods of 1981 to 2015. In empirical test, I find that firms with more competition environment tend to have inertia behavior in making decision of capital structure. This implies that it is explained by debt discipline effect and it is substitution for product market competitions. Also I find that manager tends to take action actively making decision of capital structure when product market competition is low. Also I show that they use debt to constraint the free cash flow. As a result, I conclude that Korean non-financial firms do not have more strong inertia behavior in capital structure rather than U.S. firms. Second, using OLS estimation, inertia effect disappears while there is strong inertia effect in relationship between inertia and product market competition. This result suggests that transaction cost is not key factor in explaining inertia behavior of capital structure.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.201-206
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• 2020

Diversification of project delivery methods (PDM) under ever-changing construction business environment has significantly changed the role of project participants. Active efforts to effectively sharing the roles and responsibilities have been observed in the project management offices (PMOs) among owner/operator organizations as well as engineering, procurement, construction and maintenance (EPCM) firms. In order for being effective in a holistic way throughout the project life-cycle, a PMO needs to have 'adequate management skills' as well as 'essential technical capabilities' in cooperating with many different participants. One of the well-known examples of the PMO's tool to support these skills and capabilities is the effective 'work packaging (WP)' that serves as a common basis integrating all relevant information in a structured manner. In an attempt to enhance the construction productivity, the concept of 'advanced work packing (AWP)' has been introduced by Construction Industry Institute (CII). The AWP enables productivity to be improved by early planning of construction packages in the design phase "with the end in mind". The purpose of this study is to identify and evaluate the 'variables' of advanced work packing (AWP) for life-cycle information integration. Firstly, an extended concept of advanced WP based on the CII AWP was defined in order to comprehend many different issues of business functions (e.g. cost, schedule, quality, etc.). A structured list of major components and variables of AWP were then identified and examined for practical viability with real-world examples. Strategic fits and managerial effectiveness were stressed throughout the analyses. Findings, implications and lessons learned are briefly discussed as well.