• 정보처리학회논문지A
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• 제10A권5호
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• pp.503-512
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• 2003

최근 웹 기술이 급속하게 발달함에 따라 웹 기반의 많은 어플리케이션이 개발되고 있지만, 웹 어플리케이션의 개발 방법론 및 품질개선 속도는 이를 따르지 못하고 있다. 대부분의 웹 어플리케이션의 생성은 체계적인 개발 방법론 없이 개발자의 지식과 경험에 의존하여 개발되고 있다. 그러나 웹 기반의 응용시스템은 다양한 개발 기법이 필요하며 설계 및 개발 프로세스를 위해 풍부한 개발 방법론에 요구된다. 본 논문은 객체지향 개발 방법론을 지원하는 UML(Unified Modeling Language) 을 모바일 고객관리 시스템 설계 및 구현에 적용하였다. 즉, 웹 개발단계에서 필요한 스토리 보드와 요구사항 기술서를 바탕으로 모델링하는데 UML을 적용하였다. 그리고 본 논문에 적용된 개발 방법론을 통해서 산출된 컴포넌트들은 이와 유사한 웹 어플리케이션 개발 시에 필요한 컴포넌트로 재 사용될 수 있다. 이 시스템에 UML을 적용한 결과 효율적인 웹 어플리케이션의 분석 및 설계가 이루어진다.

• 전기학회논문지P
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• 제65권1호
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• pp.31-40
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• 2016

The purpose of this study is to dimensionally examine the factors of policy changes by applying the ACMS model to KEPCO's structural reorganization privatization policies and study its implications. As a result of the analysis, among the external variables that affect as a financial source or restriction to advocates, all areas except for the difference in opinion of the people as well as policy decision and effects of other subordinate systems were shown to be in an advantageous condition acting as a financial source to advocates of structural reorganization privatization. On the other hand, advocates affected by the external variables share a certain belief system in which the advocates of privatization share the justification of profitability while the advocates of collectivization share the justification of publicness. In these flows, the announcement of the privatization plan of public enterprises of the committee of planning and budgeting acts as a matter of contact which opens the windows for policy changes, and this window goes through ignition, explosion, and fixation which causes fierce interactions among advocates of both sides. Eventually, in accordance with the contents of excluding electricity(KEPCO) from the list for privatization the window for policy changes has closed and things have changed to a transitional KEPCO privatization policy. Based on this, the first implication is that non-official participants such as the people, social organizations, labor unions, etc. influence policy changes more than they did before. Secondly, in the process of policy changes, there is an order of boundary even in the fierce interactions between each advocate. Thirdly, specific variables can play various roles in complex policy phenomenon. Fourthly, a logical analysis using the ACMS model is possible in Korea as well. Fifthly, as a result of analyzing the change process of the KEPCO structural reorganization privatization policy through the ACMS model, not all matched with the main research results implied by the ACMS model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권10호
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• pp.4814-4834
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• 2018

This paper presents an architecture for wireless sensor networks (WSNs) with blind source separation (BSS) applied to retrieve the received mixing signals of the sink nodes first. The little-to-no need of prior knowledge about the source signals of the sink nodes in the BSS method is obviously advantageous for WSNs. The optimization problem of the BSS of multiple independent source signals with complex and noncircular distributions from observed sensor nodes is considered and addressed. This paper applies Castella's reference-based scheme to Novey's negentropy-based algorithms, and then proposes a novel fast fixed-point (FastICA) algorithm, defined as the reference-signal negentropy complex FastICA (RSNT-cFastICA) for complex-valued noncircular-distribution source signals. The proposed method for the sink nodes is substantially more efficient than Novey's quasi-Newton algorithm in terms of computational speed under large numbers of samples, can effectively improve the power consumption effeciency of the sink nodes, and is significantly beneficial for WSNs and wireless communication networks (WCNs). The effectiveness and performance of the proposed method are validated and compared with three related BSS algorithms through theoretical analysis and simulations.

• 산업경영시스템학회지
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• 제39권1호
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• pp.1-8
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• 2016

Patent management activities are considered to play a key role for technology-based firms under the recent knowledge-based economies. This is because intellectual property, including patents, can act as a system for continuous profit generation by protecting firms' products, processes and services. In Korea, healthcare industry is now regarded as one of the promising next generation industries. Despite the promise of healthcare industry, Korean healthcare product manufacturers are faced with turbulent business changes, such as market opening. Even though there are various industrial studies on the effect of patent management activities on firm outcome, previous studies have hardly paid attention to Korean healthcare product manufacturing firms. For this reason, this study identifies the effect of patent management activities, such as patenting activeness, technical excellence and cooperation degree, on firm outcomes, including financial profitability and firm growth, with respect to the Korean healthcare product manufacturers. In this study, we located 86 Korean healthcare manufacturing firms from KORCHAMBIZ and DART, and then collected the data of their patenting activities and outcomes between 2001 and 2013. By applying factor analysis and regression analysis, our empirical study found that firms' patenting activeness has the significant positive relationship on firms' financial profitability, and firms' patenting activeness and technical excellence have the significant positive relationship on firms' financial growth. Our study is an initial attempt to identify the effect of patent management activities on firm outcome within Korean healthcare product manufacturing industry, and thus its results can be used as the basis to formulate national policies for Korean healthcare product industry.

• Nuclear Engineering and Technology
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• 제41권3호
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• pp.247-270
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• 2009

This paper reviews studies on information searching behavior in process control systems and discusses some implications learned from previous studies for use in human factors studies on nuclear power plants (NPPs) main control rooms (MCRs). Information searching behavior in NPPs depends on expectancy, value, salience, and effort. The first quantitative scanning model developed by Senders for instrument panel monitoring considered bandwidth (change rate) of instruments as a determining factor in scanning behavior. Senders' model was subsequently elaborated by other researchers to account for value in addition to bandwidth. There is also another type of model based on the operator's situation awareness (SA) which has been developed for NPP application. In these SA-based models, situation-event relations or rules on system dynamics are considered the most significant factor forming expectancy. From the review of previous studies it is recommended that, for NPP application, (1) a set of symptomatic information sources including both changed and unchanged symptoms should be considered along with bandwidth as determining factors governing information searching (or visual sampling) behavior; (2) both data-driven monitoring and knowledge-driven monitoring should be considered and balanced in a systematic way; (3) sound models describing mechanisms of cognitive activities during information searching tasks should be developed so as to bridge studies on information searching behavior and design improvement in HMI; (4) the attention-situation awareness (A-SA) modeling approach should be recognized as a promising approach to be examined further; and (5) information displays should be expected to have totally different characteristics in advanced control rooms. Hence much attention should be devoted to information searching behavior including human-machine interface (HMI) design and human cognitive processes.

• 정보처리학회논문지D
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• 제9D권6호
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• pp.971-980
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• 2002

최근 지식경영의 중요성이 부각됨에 따라 데이터웨어하우징에 대한 관심이 집중되고 있다. 특히 온라인 분석 처리(On-Line Analytical Processing : OLAP) 시스템은 데이터 데이터하우징의 효과적인 활용 방안으로 많은 종류의 OLAP 제품들이 공급되어 왔다. 그러나 OLAP 기술은 실제로 아무런 표준 없이 매우 오랫동안 사용되어 왔으며, 이러한 다양성은 여러 OLAP 제품들 간에 데이터 교환과 인터페이스를 매우 어렵게 했다. 이에 본 논문에서는 서로 다른 OLAP 제품들간에 공통적으로 사용할 수 있는 OLAP 메타데이터 교환 모델을 설계하고, 그 메타데이터를 기반으로 생성된 큐브들을 교환할 수 있도록 하는 OLAP 메타데이터 교환 시스템을 구현하였다. OLAP 메타데이터 교환 모델의 설계는 XML을 사용하였고, 시스템의 사용자 인터페이스는 웹기반으로서 여러 OLAP 제품들과 메타데이터를 주고받을 수 있는 환경을 제공하였다. 사용자는 OLAP 제품들의 복잡한 큐브 생성 과정을 특별히 습득할 필요가 없으며, 하나의 큐브로 여러 제품들이 제공하는 서로 다른 분석 환경을 경험할 수 있다. 본 연구를 확장하여 OLAP 제품들이 공통으로 사용될 수 있는 질의 언어를 설계하고 적용 할 수 있다면 OLAP 제품들간의 원활한 의사소통이 이루어질 수 있을 것으로 전망한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권11호
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• pp.4662-4679
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• 2015

Currently, the leakage of internal information has emerged as one of the most significant security concerns in enterprise computing environments. Especially, damage due to internal information leakage by insiders is more serious than that by outsiders because insiders have considerable knowledge of the system's identification and password (ID&P/W), the security system, and the main location of sensitive data. Therefore, many security companies are developing internal data leakage prevention techniques such as data leakage protection (DLP), digital right management (DRM), and system access control, etc. However, these techniques cannot effectively block the leakage of internal information by insiders who have a legitimate access authorization. The security system does not easily detect cases which a legitimate insider changes, deletes, and leaks data stored on the server. Therefore, we focused on the insider as the detection target to address this security weakness. In other words, we switched the detection target from objects (internal information) to subjects (insiders). We concentrated on biometrics signals change when an insider conducts abnormal behavior. When insiders attempt to leak internal information, they appear to display abnormal emotional conditions due to tension, agitation, and anxiety, etc. These conditions can be detected by the changes of biometrics signals such as pulse, temperature, and skin conductivity, etc. We carried out experiments in two ways in order to verify the effectiveness of the emotional recognition technology based on biometrics signals. We analyzed the possibility of internal information leakage detection using an emotional recognition technology based on biometrics signals through experiments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2894-2909
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• 2015

As the number of mobile devices such as smart phones and tablets explodes, the need for new services or applications is also rapidly increasing. Smart class application is one of the emerging applications, in which most of contents are distributed to all members of a class simultaneously. It is highly required to select relay nodes to cover shadow area of radio as well as extend coverage, but existing algorithms in a smart class environment suffer from high control packet overhead and delay for exchanging topology information among all pairs of nodes to select relay nodes. In addition, the relay selection procedure should be repeated in order to adapt to the dynamic topology changes caused by link status changes or device's movement. This paper proposes the learning based relay selection algorithm to overcome aforementioned problems. The key idea is that every node keeps track of its relay quality in a fully distributed manner, where RQI (Relay Quality Indicator) is newly defined to measure both the ability of receiving packets from content source and the ability of successfully relaying them to successors. The RQI of each node is updated whenever it receives or relays broadcast packet, and the node having the higher RQI is selected as a relay node in a distributed and run-time manner. Thus, the proposed algorithm not only removes the overhead for obtaining prior knowledge to select relay nodes, but also provides the adaptability to the dynamic topology changes. The network simulation and experimental results prove that the proposed algorithm provides efficient and reliable content distribution to all members in a smart class as well adaptability against network dynamics.

• Journal of Nutrition and Health
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• 제50권2호
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• pp.121-132
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• 2017

Purpose: This review was performed to establish a reference intake of water for Korean (KDRI-water) adults in 2015 by examining current knowledge of the relationship between water intake and health and the general status of water intake and loss. We expect that this study will be utilized for further refinement of KDRI-water. Methods: Documents were searched using RISS, NDSL, DBPIA, CINAHL, and Pubmed with the keywords 'water intake, water supply, water ingestion, hydration, dehydration, water balance, and fluid balance'. Results: Water balance is essential for the maintenance of health. Based on this assumption, numerous studies have been performed to investigate the association of water intake with several diseases such as urolithasis, obesity, diabetes, and cancer as well as other health problems, including constipation, cognition, and fetal weight. Effects of water intake for prevention or relief of these health problems vary. Water is supplied to the body by eating foods and drinking liquids such as plain water and beverages. Metabolic water is another source of water input. Water is lost through urine, skin, respiration, and feces. KDRI-water 2015 was set by adequate intake (AI) based on water intake volume, which was the sum of water intakes from foods and fluids reported by the Korea National Health and Nutrition Examination Survey, with extra milk intake of 200 mL. AIs in some age groups were modified considering their estimated energy requirements. Conclusion: Accurate data of water intake is critically important for the establishment of KDRI-water. Therefore, improvement of systems investigating water intake is required, and more studies on the status of water intake and loss in Korean people are needed for definite KDRI-water establishment.

• 디지털콘텐츠학회 논문지
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• 제10권1호
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• pp.1-10
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• 2009

미래 네트워크 모델로 주목받고 있는 유비쿼터스 환경의 보편화를 위해서 사용자 중심의 지능화된 유비쿼터스 컴퓨팅 기반 시스템 개발이 요구된다. 특히, 동적으로 변화하는 상황 정보를 인지하고 사용자의 다양한 요구에 적합한 서비스를 추론하여 제공하기 위해서는 사용자와 장치들간의 지식 공유와 명확한 의사 소통이 가능해야 한다. 본 논문은 의미적 연관성과 추론에 기반한 사용자와 장치들간의 상호작용을 제공하기 위해서 각 장치들이 제공하는 서비스나 데이터의 의미를 온톨로지와 메타데이터를 이용하여 기술하고 효율적으로 관리하는데 목표를 두고 있다. 본 논문에서는 시맨틱 데이터를 OWL로 기술하여 다양한 의미적 관계를 표현하고 이것을 활용하는 지능적 유비쿼터스 기반 시스템을 제안한다. 그리고 각 서브 시스템별로 시맨틱 데이터를 관리하기 위한 저장 및 인덱스 구조와 질의 처리 전략을 제안하고 이를 지원하기 위해 시맨틱 데이터의 주요 요소인 클래스와 리소스를 식별하는 레이블링 기법을 사용한다. 본 논문에서 제안한 유비쿼터스 시스템의 시맨틱 데이터 관리 기법을 통해 보다 정확하고 사용자의 요구를 폭넓게 만족시키는 장치를 추론에 의해 검색할 수 있다.