• 여성건강간호학회지
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• 제28권4호
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• pp.286-295
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• 2022

Purpose: Based on the World Health Organization framework on reproductive health, this descriptive correlational study investigated the factors affecting reproductive health-promoting behaviors of married women, with a focus on family values and reproductive health knowledge. Methods: A cross-sectional survey was conducted on 170 married women between the ages of 25 and 49 years living in Daegu, Korea. The general and reproductive health characteristics, family values, and reproductive health knowledge of married women were identified, as well as factors affecting reproductive health-promoting behaviors. A questionnaire survey was administered to investigate the impact of various factors on reproductive health-promoting behaviors. Results: Positive correlations were shown for family values (r=.78, p<.001) and reproductive health knowledge (r=.55, p<.001). Family values (β=.35, p<.001) and reproductive health knowledge (β=.24, p<.001) were identified as factors influencing reproductive health-promoting behaviors. According to the regression model, the explanatory power of factors affecting reproductive health-promoting behaviors among married women was 51.2%. Conclusion: A history of reproductive diseases, family values, and reproductive health knowledge were identified as factors influencing reproductive health-promoting behaviors. These results will provide basic data for the development of a reproductive health-promoting program, including a positive approach to reproductive health among married women, and will serve as a basis for further research on intervention strategies.

• 한국응용과학기술학회지
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• 제39권6호
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• pp.738-747
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• 2022

이 연구는 생태형 해양스포츠의 체육교육 적용을 위한 지식구조를 구성하는 것에 목적이 있다. 구체적인 종목으로는 배구형 게임인 비치발리볼과 바다수영이 설정되었으며 연구수행을 위하여 지식구조 분석틀을 활용하였다. 연구의 타당성을 확보하기 위하여 전문가협의를 실시하였다. 연구결과는 다음과 같다. 첫째, 2022개정 체육과 교육과정 시안에 기반한 지식구조를 마련하였다. 둘째, 생태형 해양스포츠의 체육수업 적용 기반을 마련하였다.셋째, 비치발리볼의 지식·이해 영역, 과정·기능 영역, 가치·태도 영역의 학습 내용을 제안하였다. 넷째, 바다수영의 지식·이해 영역, 과정·기능 영역, 가치·태도 영역의 학습 내용을 제안하였다. 이 연구는 향후 도입될 2022개정 체육과 교육과정의 실현된 모습을 미리 대비하였다는 것에 의미가 있다.

• 한국기록관리학회지
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• 제23권4호
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• pp.159-178
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• 2023

디지털 아카이브는 지속적으로 보존할 가치가 있는 디지털 기록을 보존하고 활용하기 위한 온라인 플랫폼이다. 그러나 국내에서 운영되고 있는 디지털 아카이브는 기능 메타데이터, 데이터의 기술원칙과 관련된 공통 원칙이 존재하지 않는다. 이는 분산적으로 존재하는 디지털 기록을 연계하기 힘들게 만드는 요인이 된다. 본 연구는 디지털 기록의 상호운용을 개선하기 위한 방안으로 디지털 아카이브를 위한 공통 어휘를 제안하고, 공통 어휘로 구축된 디지털 아카이브의 상호운용성을 평가한다. 1997 외환위기 아카이브의 데이터를 수집·분석하여 지식그래프를 구축하고, RiC-O로 구축된 지식그래프와 상호운용성을 비교한다, FAIR 데이터 원칙의 평가 프레임워크는 1997 외환위기 아카이브와 지식그래프를 평가하는 데 활용된다. 구축된 지식그래프는 기록의 다양한 개체가 서로 연계되고, 기록의 이해에 도움이 되는 맥락 정보를 제공한다. 검증 결과는 공통 어휘로 구축된 지식그래프가 기존 아카이브에 비해 디지털 기록의 연계와 검색, 상호운용 관점에서 향상된 결과를 보인다.

• International Journal of Control, Automation, and Systems
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• 제3권4호
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• pp.509-523
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• 2005

We are developing a novel framework, PRIDE (PRediction In Dynamic Environments), to perform moving object prediction (MOP) for autonomous ground vehicles. The underlying concept is based upon a multi-resolutional, hierarchical approach which incorporates multiple prediction algorithms into a single, unifying framework. The lower levels of the framework utilize estimation-theoretic short-term predictions while the upper levels utilize a probabilistic prediction approach based on situation recognition with an underlying cost model. The estimation-theoretic short-term prediction is via an extended Kalman filter-based algorithm using sensor data to predict the future location of moving objects with an associated confidence measure. The proposed estimation-theoretic approach does not incorporate a priori knowledge such as road networks and traffic signage and assumes uninfluenced constant trajectory and is thus suited for short-term prediction in both on-road and off-road driving. In this article, we analyze the complementary role played by vehicle kinematic models in such short-term prediction of moving objects. In particular, the importance of vehicle process models and their effect on predicting the positions and orientations of moving objects for autonomous ground vehicle navigation are examined. We present results using field data obtained from different autonomous ground vehicles operating in outdoor environments.

• Journal of Communications and Networks
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• 제11권2호
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• pp.134-147
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• 2009

Tracking and exploiting instantaneous spectrum opportunities are fundamental challenges in opportunistic spectrum access (OSA) in presence of the bursty traffic of primary users and the limited spectrum sensing capability of secondary users. In order to take advantage of the history of spectrum sensing and access decisions, a sequential decision framework is widely used to design optimal policies. However, many existing schemes, based on a partially observed Markov decision process (POMDP) framework, reveal that optimal policies are non-stationary in nature which renders them difficult to calculate and implement. Therefore, this work pursues stationary OSA policies, which are thereby efficient yet low-complexity, while still incorporating many practical factors, such as spectrum sensing errors and a priori unknown statistical spectrum knowledge. First, with an approximation on channel evolution, OSA is formulated in a multi-armed bandit (MAB) framework. As a result, the optimal policy is specified by the wellknown Gittins index rule, where the channel with the largest Gittins index is always selected. Then, closed-form formulas are derived for the Gittins indices with tunable approximation, and the design of a reinforcement learning algorithm is presented for calculating the Gittins indices, depending on whether the Markovian channel parameters are available a priori or not. Finally, the superiority of the scheme is presented via extensive experiments compared to other existing schemes in terms of the quality of policies and optimality.

• International Journal of Contents
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• 제10권4호
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• pp.53-62
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• 2014

Although many studies have considered the outcomes and impacts of serious games, little is known about the factors which affect a user's perception or interpretation in games during the process of decision making from theoretical perspectives. This study aimed to explore the process of user perception from the perspective of construal level theory, and to suggest a theoretical design approach for the development of effective serious games. In the current study, cognitive and affective learning outcomes were articulated through literature review and synthesized into a series of assumptions with persuasive and educational aspects in serious games. Serious games reflect the potential of the game mechanism for changing players' perception, and helping with knowledge acquisition of the users. The potential to use construal level theory for effective serious games interventions was suggested, and a Serious Games Design Framework was proposed via potential outcomes from recent advanced research. Finally, implications of the application of the suggested model with various-related purposes and directions for future research were discussed. The model could be useful not only for game researchers and designers, but also for game marketers in attracting potential consumers.

• Perspectives in Nursing Science
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• 제7권1호
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• pp.1-9
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• 2010

Purpose: The purpose of this study was to review behavior change theories in terms of important variables, concept definitions, and applicability to diabetes self-management behavior. Methods: Six behavior change theories (the Transtheoretical Model, the Health Belief Model, the Theory of Reasoned Action, the Theory of Planned Behavior, Social cognitive theory, and Information-Motivation-Behavioral skills Model) were reviewed which were applied in diabetes self-management interventions. Results: The five key concepts from the five non-stage behavior change theories were delineated. Based on the key concepts, a theoretical framework was formulated as the explanatory model of diabetes self-management behaviors. The four major concepts in Information-Motivation- Behavioral skills Model were included. The cognitive arm of the proposed theoretical framework included constructs related to diabetes knowledge, motivation (beliefs, attitude, social norm), self-efficacy, and intention. Conclusion: The theoretical framework described here includes the key factors of successful diabetes self- management intervention. However, the concept of motivation needs further exploration and clarification for operationalization.

• ETRI Journal
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• 제32권6호
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• pp.950-960
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• 2010

In response to increased security concerns, biometrics is becoming more focused on overcoming or complementing conventional knowledge and possession-based authentication. However, biometric authentication requires special care since the loss of biometric data is irrecoverable. In this paper, we present a biometric authentication framework, where several novel techniques are applied to provide security and privacy. First, a biometric template is saved in a transformed form. This makes it possible for a template to be canceled upon its loss while the original biometric information is not revealed. Second, when a user is registered with a server, a biometric template is stored in a special form, named a 'soft vault'. This technique prevents impersonation attacks even if data in a server is disclosed to an attacker. Finally, a one-time template technique is applied in order to prevent replay attacks against templates transmitted over networks. In addition, the whole scheme keeps decision equivalence with conventional face authentication, and thus it does not decrease biometric recognition performance. As a result, the proposed techniques construct a secure face authentication framework in open networks.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권4호
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• pp.217-231
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• 2015

A novel fuzzy learning framework that employs fuzzy inference to solve the problem of Multiple Instance Learning (MIL) is presented. The framework introduces a new class of fuzzy inference systems called Multiple Instance Mamdani Fuzzy Inference Systems (MI-Mamdani). In multiple instance problems, the training data is ambiguously labeled. Instances are grouped into bags, labels of bags are known but not those of individual instances. MIL deals with learning a classifier at the bag level. Over the years, many solutions to this problem have been proposed. However, no MIL formulation employing fuzzy inference exists in the literature. Fuzzy logic is powerful at modeling knowledge uncertainty and measurements imprecision. It is one of the best frameworks to model vagueness. However, in addition to uncertainty and imprecision, there is a third vagueness concept that fuzzy logic does not address quiet well, yet. This vagueness concept is due to the ambiguity that arises when the data have multiple forms of expression, this is the case for multiple instance problems. In this paper, we introduce multiple instance fuzzy logic that enables fuzzy reasoning with bags of instances. Accordingly, a MI-Mamdani that extends the standard Mamdani inference system to compute with multiple instances is introduced. The proposed framework is tested and validated using a synthetic dataset suitable for MIL problems. Additionally, we apply the proposed multiple instance inference to fuse the output of multiple discrimination algorithms for the purpose of landmine detection using Ground Penetrating Radar.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.467-470
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• 2004

MANPro-based control is a novel control paradigm aimed at intelligent manufacturing systems on the basis of mobile agent-based negotiation process (MANPro). MANPro is a negotiation mechanism based on the agent-based control architecture and, especially, it adapts a mobile agent system called N-agent for the negotiation process. N-agent travels around the network of distributed manufacturing systems to acquire information, and it makes a decision for system control according to the obtained information. MANPro includes communication architecture and information architecture for intelligent shop floor control. MANPro also considers the following issues: (1) negotiation mechanism, (2) single-agent internal strategic policies, and (3) information model. Communication architecture concerns the first issue of the negotiation mechanism. It provides information exchanging mechanism with functional modules. In specific, N-agent is equipped with an intelligent reasoning engine with a built-in knowledge base. This reasoning engine is closely related to the single-agent internal strategic policies of the second issue. Finally, ontology-based information architecture addresses information models and provides a framework for information modeling on negotiation. In this paper, these three issues are addressed in detail and a framework of MANPro-based control is also proposed.