• 한국주거학회논문집
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• 제10권2호
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• pp.247-257
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• 1999

This study is aimed to propose the evaluation model of forecasting visual quality of apartment buildings, which would be a useful tool to make the architectural concepts corresponding to user needs. This study was carried out through the four-step experiments as follows. The first step is to take the user's visual evaluation construct. To do this, the 22 adjective phrases were extracted, which were applicable to all apartment buildings. The second step is to analyze the user's visual preference, which is measured by the user's psychological quantity on the apartment buildings by S. D.(Semantic Differential) Method. The third step is to analyzethe five psychological-factors obtained from the Factor Analysis. The perceptual images on the 41 experimental subjects were checked up through evaluating and analyzing the factor scores of each subjects for each psychological-factor. The fourth step is to analyze, the similarity of various characters in a building, which is mirrored on the user's psychological quantity and how buildings are grouped by it.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.265-271
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• 2022

Social media is a form of communication based on the internet to share information through content and images. Their choice of profile images and type of image they post can be closely connected to their personality. The user posted images are designated as personality traits. The objective of this study is to predict five factor model personality dimensions from profile images by using deep learning and neural networks. Developed a deep learning framework-based neural network for personality prediction. The personality types of the Big Five Factor model can be quantified from user profile images. To measure the effectiveness, proposed two models using convolution Neural Networks to classify each personality of the user. Done performance analysis among two different models for efficiently predict personality traits from profile image. It was found that VGG-69 CNN models are best performing models for producing the classification accuracy of 91% to predict user personality traits.

• 산업경영시스템학회지
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• 제35권1호
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• pp.24-31
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• 2012

This study is designed to predict the overall electric power load, to apply the method of time sharing and to reduce simultaneous load factor of electric power when authorized by user entering demand plans and using schedules into the user's interface for a certain period of time. This is about smart grid, which reduces electric power load through simultaneous load factor of electric power reduction system supervision agent. Also, this study has the following characteristics. First, it is the user interface which enables authorized users to enter and send/receive such data as demand plan and using schedule for a certain period of time. Second, it is the database server, which collects, classifies, analyzes, saves and manages demand forecast data for a certain period of time. Third, is the simultaneous load factor of electric power control agent, which controls usage of electric power by getting control signal, which is intended to reduce the simultaneous load factor of electric power by the use of the time sharing control system, form the user interface, which also integrate and compare the data which were gained from the interface and the demand forecast data of the certain period of time.

• 보건행정학회지
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• 제10권2호
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• pp.22-40
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• 2000

The purpose of the study was to discuss amrketing strategy for oriental hospital, by making a comparative analysis of how hospital user satifaction was affected by hospi시 choice motivation between oriental hospital users and western hospital. The data usel in this study was the Korea Isititute of oriental medicine(1999)'s study on utilization of oriental medical care. And and interview was hold with outpatients who visited around march to April, 1999, at each an oriental hospital and a westen hospital in Seoul and in Wonju city, Kongwon province. The collected data were analyzed by SPSS program. The factor analysis of hospital choice motivation was made by figuring out facor's mean value, and T-test and ANOVA were employed to find out what difference was made by sociodmographic charcteristics to the factors. Also, the multiple regression analysis was carried out to examine what gave an impact on hospital user satisfaction. The findings of this study were as follows; First as a result of making a factor analysis against hospital choice motivation to find out what kind of differenc there was between oriental hospital user motivation and western hospital and person factors. Among them, the hospital charcteristics, preception, personal and person factors. Among them, the hospital charcteristics appered to have the biggest effect of hospital choice motivation. Second, as a result of making comparison between oriental oriental hospital user satisfaction and werterm hospital user satisfaction, there was a singificant between their satisfaction at treatment time, kindness and relative kiness aginst the pther hospital. The oriental level combining 6 items. The geneal satisfaction level combining 6itmes tured out to have reliability of chronbach $\alpha$=0.7126. As a result of examining how mech the general satifaction level depended on sociodemographic characteristics, ther was found be significantly affected by age, marital status, educational background or hospital type. Those who a spouse or a lower educational background or the oriental hospital users got better score. Third, the multiple regression analysis was made to find out what factors affected western and oriental hospital user satisfaction, As a result, the waiting time, experience of other medical facilities and hospital characteristic variable were identified as a key factor on which westerm hospital user satisfaction depended. In conclusion, the oriental hhspital user expressed more staisfaction than the weshren hospital users. Then the characteristic factor played a singificant role in user satisfaction, which included hospital facilities, kindness of herb doctor and employees, or hospital reputation of credibility. in order to raise hospital user datisfaction, it seemed necessary to pay more attention to hospital characteristic factor rather than to perception factor.

• 디지털융복합연구
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• 제19권1호
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• pp.355-360
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• 2021

본 연구는 초기 사용자 경험 단계에서 발생 할 수 있는 확증 편향의 요인에 관해 요인별 사용자 경험 요소를 도출하여 허니콤 모형으로 분석하였다. 초기 사용자 경험 단계에서 확증 편향은 인상의 단계에서 발생한다. 기억의 처리단계에서는 감각기억과 작동 기억 그리고 선택적 기억을 저장하고 인출하는 장기 기억과 밀접한 관련이 있었다. 확증편향은 사용성 부분에서 가시성, 상관성, 기억성, 명확성, 보편성으로 분류되었고 감정요인으로는 만족감, 기쁨, 불만족이 도출되었다. 허니콤 모형으로 분석한 결과 사용성 요인에서 시각성, 명확성, 보편성과 감정 요인에서 기쁨은 확증편향에 미치는 영향이 미미하였으며 상관성과 기억성 그리고 감정 요인에서는 만족감과 불만족이 확증 편향의 주요요인으로 분석되었다. 본 연구는 확증 편향 요인에 대해 디자인 패턴을 커스텀화 하는 기업의 경우 참고 자료로 유용하게 활용될 수 있다는 점에서 의의를 가진다.

• International journal of advanced smart convergence
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• 제9권2호
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• pp.68-75
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• 2020

Non-orthogonal multiple access (NOMA) has gained the significant attention in the fifth generation (5G) mobile communication, which enables the advanced smart convergence of the artificial intelligence (AI), the internet of things (IoT), and many of the state-of-the-art technologies. Recently, correlated superposition coding (SC) has been proposed in NOMA, to achieve the near-perfect successive interference cancellation (SIC) bit-error rate (BER) performance for the stronger channel users, and to mitigate the severe BER performance degradation for the weaker channel users. In the correlated SC NOMA scheme, the stronger channel user BER performance is even better than the perfect SIC BER performance, for some range of the power allocation factor. However, such excessively good BER performance is not good for the user-fairness, i.e., the more power to the weaker channel user and the less power to the stronger channel user, because the excessively good BER performance of the stronger channel user results in the worse BER performance of the weaker channel user. Therefore, in this paper, we propose the power splitting to establish the user-fairness between both users. First, we derive a closed-form expression for the power splitting factor. Then it is shown that in terms of BER performance, the user-fairness is established between the two users. In result, the power splitting scheme could be considered in correlated SC NOMA for the user-fairness.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.63-76
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• 2023

Identity and access management in cloud computing is one of the leading significant issues that require various security countermeasures to preserve user privacy. An authentication mechanism is a leading solution to authenticate and verify the identities of cloud users while accessing cloud applications. Building a secured and flexible authentication mechanism in a cloud computing platform is challenging. Authentication techniques can be combined with other security techniques such as intrusion detection systems to maintain a verifiable layer of security. In this paper, we provide an interactive, flexible, and reliable multi-factor authentication mechanisms that are primarily based on a proposed Authentication Method Selector (AMS) technique. The basic idea of AMS is to rely on the user's previous authentication information and user behavior which can be embedded with additional authentication methods according to the organization's requirements. In AMS, the administrator has the ability to add the appropriate authentication method based on the requirements of the organization. Based on these requirements, the administrator will activate and initialize the authentication method that has been added to the authentication pool. An intrusion detection component has been added to apply the users' location and users' default web browser feature. The AMS and intrusion detection components provide a security enhancement to increase the accuracy and efficiency of cloud user identity verification.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
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• pp.819-823
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• 2006

게임에 있어서의 몰입은 게임을 지속적으로 플레이하게 만드는 가장 중요한 요소이다. 사용자가 게임에 몰입하지 못한다는 것은 게임에 흥미를 느끼지 못해 결국 사용자로 하여금 게임을 포기하게 한다. 그러므로 게임이 가지고 있는 몰입 요인을 인지하고 있어야 하며, 몰입을 유발하는 요소들을 게임개발에 적용시킴으로써 사용자에게는 게임의 즐거움을 배가시키고, 게임 개발사에게는 높은 수익창출을 가져다 줄 수 있을 것이다. 이에 본 연구는 사용자에게 초고조의 몰입 상태를 경험하게 하기 위해서 게임 안에 존재하는 몰입의 요인과 게임의 구성요소와 상관관계를 알아본다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1886-1888
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• 2002

Non-verbal information plays an important role not only in human-to-human communications but also in human computer interaction. In this paper, we examine effects of human-like agent's primitive movements on user's impression, where the human-like agent's primitive movements include eye, mouth, and head. SD (Semantic Differential) method was used for evaluation, and two factors were extracted as a result of the factor analysis. It is found that the first factor influenced the user's impression particularly.

• 한국문헌정보학회지
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• 제54권3호
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• pp.209-236
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• 2020

본 연구에서는 이용자 경험의 관점에서 지식정보자원시스템을 평가하기 위한 이용자 경험 지표를 개발하였다. 선행연구에서 도출된 이용자 경험요인을 검증하고 지표로 개발하기 위해 설문조사를 수행하였으며, 사전조사 158명, 본 조사 480명을 대상으로 데이터를 수집하였다. 수집된 데이터는 기술통계, 탐색적 요인분석, 상관관계분석, 확인적 요인분석, 경로분석을 통해 분석을 수행하였다. 수행결과 총 7개 경험요인, 37개 세부 경험요인, 105개 시스템 지각요인이 최종 지식정보자원시스템 이용자 경험 지표로 도출되었다. 도출된 이용자 경험 지표는 지식정보자원시스템 이용자들이 지각하는 이용자 경험 정도를 측정할 수 있으며, 검증된 평가지표로서 활용하여 각 경험요인에 대한 단순 비교가 아닌 상관관계가 반영된 실효성 있는 평가를 진행해 볼 수 있다는데 의의가 있다.