• Journal of Agricultural Extension & Community Development
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• v.20 no.3
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• pp.755-775
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• 2013

The study aims to segment rural tourism villages' selection attributes that affect experiences programs preferences and behavior intention in 6th industry. Based on the literature review, the measurement scales were developed and the data collected from on-site survey in 6th industry trade. Cluster analysis with rural tourism villages' selection attributes were conducted and MDA was run to verify segmented group rate. T-tests were conducted to see if there were any differences between segmented groups in terms of experiences programs preferences and behavior intention. More detailed discussion were provided in the conclusion.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.327-335
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• 2020

The purpose of this study was to investigate conception of children's hospitalization stress and to make clear concepts, and to use Walker & Avant's concept analysis method. Children's hospitalization stress attributes were derived from physiological changes, individual-environmental interactions, cognitive and psychosocial developmental stage responses, and intrinsic and outward changes due to coping styles. The prerequisites for hospitalization stress of children were disease severity, biological factors, and support system, and the results were hospitalization adaptation, disease and health recovery, improvement of child development, and acquisition of coping skills. In order to solve the prerequisites for Hospitalization stress of children, it is necessary to be aware of the disease and to establish a support system of parent-family. Afterwards, we suggest more qualitative research on the hospitalization stress of children, the development of tools that reflect the characteristics of the hospitalization stress of children, and the development of programs to solve the Hospitalization stress.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1505-1514
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• 2004

Sequence matching in time-series databases is an operation that finds the data sequences whose changing patterns are similar to that of a query sequence. Typically, sequence matching hires a multi-dimensional index for its efficient processing. In order to alleviate the dimensionality curse problem of the multi-dimensional index in high-dimensional cases, the previous methods for sequence matching apply the Discrete Fourier Transform(DFT) to data sequences, and take only the first two or three DFT coefficients as organizing attributes of the multi-dimensional index. This paper first points out the problems in such simple methods taking the firs two or three coefficients, and proposes a novel solution to construct the optimal multi -dimensional index. The proposed method analyzes the characteristics of a target database, and identifies the organizing attributes having the best discrimination power based on the analysis. It also determines the optimal number of organizing attributes for efficient sequence matching by using a cost model. To show the effectiveness of the proposed method, we perform a series of experiments. The results show that the Proposed method outperforms the previous ones significantly.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.369-379
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• 2012

This study aims to examine the preferred device types, the difference of device properties by service types, and acceptance intention for applications and willingness to pay for healthcare services. To attain this goal, this research conducted a survey targeted to the subjects of those concerned in hospitals and medical institutions, the aged and patients with chronic disease, and consumers having interest in health maintenance. According to the result of the analysis, acceptance intention for mobile devices for healthcare services was high in general. And patients with chronic disease and those concerned in hospitals showed high acceptance intention. Smart phones were preferred the most in the support of healthcare services. And there was the difference of device properties by service types, and in health maintenance, easiness and playfulness were somewhat high. Acceptance intention for mobile applications was rather high in personal use, and regarding the properties, personal information protection was valued highly.

• Journal of Korea Water Resources Association
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• v.46 no.10
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• pp.997-1004
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• 2013

There is imminent need to find a way to measure the recreational benefits of water so that appropriate actions can be taken to make a multi-purpose reservoir. Therefore, this study attempts to apply a choice experiment to quantifying the recreational benefits of a multi-purpose reservoir, using a specific case study of Sangkwan multi-purpose reservoir. We consider the trade-offs between price and attributes of recreational attributes for selecting a preferred alternative and derive the marginal willingness to pay (MWTP) estimate for each attribute. The results show that the MWTP for providing additional 10,000 ton of water is estimated to be 3 won per household per year. The MWTP for improving 1 level of water quality is computed to be 645.5 won per household per year. Moreover, the MWTP for providing recreation facilities is calculated to be 1,518.6 won per household per year. This study allows us to provide policy-makers with useful quantitative information that can reduce uncertainty in the decision-making process related to a multi-purpose reservoir construction projects.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.133-142
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• 2021

Travel pattern recognition is widely used in many aspects such as user trajectory query, user behavior prediction, interest recommendation based on user location, user privacy protection and municipal transportation planning. Because the current recognition accuracy cannot meet the application requirements, the study of travel pattern recognition is the focus of trajectory data research. With the popularization of GPS navigation technology and intelligent mobile devices, a large amount of user mobile data information can be obtained from it, and many meaningful researches can be carried out based on this information. In the current travel pattern research method, the feature extraction of trajectory is limited to the basic attributes of trajectory (speed, angle, acceleration, etc.). In this paper, permutation entropy was used as an eigenvalue of trajectory to participate in the research of trajectory classification, and also used as an attribute to measure the complexity of time series. Velocity permutation entropy and angle permutation entropy were used as characteristics of trajectory to participate in the classification of travel patterns, and the accuracy of attribute classification based on permutation entropy used in this paper reached 81.47%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.453-455
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• 2022

Metadata is data that explains attributes and features to the data as structured data. Among them, video metadata refers to data extracted from information constituting the video for accurate content-based search. Recently, as the number of users using video content increases, the number of OTT providers is also increasing, and the role of metadata is becoming more important for OTT providers to recommend a large amount of video content to individual users or to search appropriately. In this paper, a study was conducted on a method of automatically extracting metadata for mood attributes through sound effects of images. In order to classify the sound effect of the video and generate metadata about the attributes of the mood, I would like to propose a method of establishing a terminology dictionary for the mood and extracting information through supervised learning.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.813-825
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• 2023

This study was analyzed using a mixed methods approach to clarify the concept of compassionate communication competencies of psychiatric nurses. In the theoretical phase, the literature published from 2000 to 2022 was collected and 38 articles were analyzed. For the fieldwork phase, in-depth interviews were conducted with eight psychiatric nurses from December 1 to December 28, 2022. In the final analysis phase, the dimensions and attributes of psychiatric nurses' compassionate communication competence were identified and conceptualized. Based on the attributes identified in the theoretical and fieldwork phases, the definition of psychiatric nurses' compassionate communication competence was synthesized into five dimensions and 12 attributes. Therefore, psychiatric nurses' compassionate communication competence refers to the skills and abilities of psychiatric nurses to use active listening and empathic skills for effective communication based on compassion and understanding of the target, to be sensitive to the thoughts and feelings of the target, to accurately convey what the target wants to express, to respect the target, and to empower the target.

• 한국정책학회보
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• v.21 no.3
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• pp.241-264
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• 2012

인간에 대한 신고전파 경제학의 가정을 확장할 경우, 인간은 사회적 선호를 가지고 있고 규범을 사용하며 전통과 관습으로부터 자유롭지 못한 존재라고 볼 수 있다. 이 논문에서는 특히 사회적 규범을 따르는 개인의 행위를 명시적으로 고려하여 내면화된 사회적 규범을 따르는 경우에 얻는 심리적 만족감과 따르지 않을 경우 치러야 하는 심리적 비용을 δ 요인이라고 개념화하였다. 그리고 나서 이러한 δ 요인이 집단행동의 딜레마상황을 해결하는데 어떤 순기능을 발휘하는지, 낮은 행정비용으로 정책의 효과성을 제고하는데 어떻게 기여하는지를 살펴보았다. 또한 이러한 #x03B4; 요인이 정책관련 변수와 상호작용하여 어떻게 정책의 목표를 달성하는데 방해가 될 수 있는지도 들여다 보았다. 이를 위해 다양한 (가상적) 정책사례들을 살펴본 후 정책이 δ 요인과 상호보완적으로 작용하여 정책집행의 성공에 도움이 되는 공통된 조건이 무엇인지를 도출하였다. 사회적 규범을 따르는 개인들의 비율이 클수록, 정책대상이 되는 개인들의 행위에 대한 관측가능성의 정도가 높을수록, 사회규범의 준수가 개인의 이익과 연계될수록, 정책으로 실현하고자 하는 가치와 기존 규범과의 충돌이 최소화될수록, 합리적 이기주의자에 대한 통제가 충분히 이루어질수록 δ 요인은 정책과 보완적 관계가 형성되어 정책집행의 성공가능성을 높이는 것으로 분석되었다.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1113-1120
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• 2015

We propose a multi-proportions randomized response model by stratified simple random sampling for surveys of sensitive issues of a polychotomous population composed of several stratum. We also systemize a theoretical validity to apply multi-proportions randomized response model (Abul-Ela et al.' model, Eriksson's model) to stratified simple random sampling and derive the estimate and its dispersion matrix of the proportion of sensitive characteristic of population using the suggested model. Two types of sample allocations (proportional allocation and optimum allocation) are considered under the fixed cost. In efficiency, the Eriksson's model by stratified sampling are compared to the Abul-Ela et al.' model.