• Title/Summary/Keyword: 선택적 속성

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Military Life Pattern of Maladjusted Soldiers (복무부적응 병사의 군생활 패턴)

  • Lee, Eun-Joo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.501-511
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    • 2020
  • This qualitative research examined the experiences and patterns of military life of service maladaptive soldiers. The research site was the place where the soldiers of the A-adaptive soldiers' healing program were conducted, and the study period was conducted from September 2016 to December 2017. Maladaptive soldiers' military life experience pattern was analyzed, and their experience consisted of three domains (early domain after joining the army, middle domain after joining the army, and last domain where they failed to adapt themselves), five cultural themes, 12 categories, and 29 attributes. The cultural themes of maladaptive soldiers in their military life experiences were as follows: facing unfamiliar military culture, hardship, being left alone in a group, pain becoming unbearable, and the last choice of leaving a painful military life. Maladaptive soldiers attempted suicide after they failed to overcome the psychological pain, but they needed help during their early period of adaptation. Moreover, during their middle period of adaptation, they needed guidance for their immature coping strategies, and ultimately they had misperceptions about their death together with a pessimistic view about their life. These results are expected to be used as basic data for the development of mental nursing arbitration programs and suicide prevention projects to help service maladaptive soldiers.

Observation Test of Field Surface Reflectance Using Vertical Rotating Goniometer on Tarp Surface and Grass (수직 축 회전형 측각기 제작 및 야외 지표면 반사도 관측 시험: 타프와 잔디에서)

  • Moon, Hyun-Dong;Jo, Euni;Kim, Hyunki;Cho, Yuna;Kim, Bo-Kyeong;Ahn, Ho-Yong;Ryu, Jae-Hyun;Cho, Jaeil
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1207-1217
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    • 2022
  • Vegetation indices using the reflectance of selected wavelength, associating with the monitoring purpose such as identifying the progress of crop growth, on the vegetation canopy surface is widely used in the digital agriculture technology. However, the surface reflectance anisotropy can distort the true value of vegetation index related to the condition of surface, even though the surface property be unchanged. That causes difficulty to observe accurately crop growth on the monitoring system. In this study, a simple type goniometer was designed to measure the reflectance from the anisotropic surface according to various zeniths and azimuths of sun and viewing sensor in the field. On the tarp like as Lambertian surface, the reflectance of Blue, Green, Red, Near-Infrared band was similar to the tarps' reflectance properties. However, the reflectance was slightly overestimated in the cloudy day. The relative difference values of vegetation indices on grass were overestimated for the forward viewing and underestimated for the backward viewing. In addition, enhanced vegetation index (EVI) showed less sensitive according to the positions of sun and sensor viewing. Field observation with a goniometer will be helpful to understand the anisotropy characteristics on the vegetation surface.

Multi-Criteria Group Decision Making under Imprecise Preference Judgments : Using Fuzzy Logic with Linguistic Quantifier (불명료한 선호정보 하의 다기준 그룹의사결정 : Linguistic Quantifier를 통한 퍼지논리 활용)

  • Choi, Duke Hyun;Ahn, Byeong Seok;Kim, Soung Hie
    • Journal of Intelligence and Information Systems
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    • v.12 no.3
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    • pp.15-32
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    • 2006
  • The increasing complexity of the socio-economic environments makes it less and less possible for single decision-maker to consider all relevant aspects of problem. Therefore, many organizations employ groups in decision making. In this paper, we present a multiperson decision making method using fuzzy logic with linguistic quantifier when each of group members specifies imprecise judgments possibly both on performance evaluations of alternatives with respect to the multiple criteria and on the criteria. Inexact or vague preferences have appeared in the decision making literatures with a view to relaxing the burdens of preference specifications imposed to the decision-makers and thus taking into account the vagueness of human judgments. Allowing for the types of imprecise judgments in the model, however, makes more difficult a clear selection of alternative(s) that a group wants to make. So, further interactions with the decision-makers may proceed to the extent to compensate for the initial comforts of preference specifications. These interactions may not however guarantee the selection of the best alternative to implement. To circumvent this deadlock situation, we present a procedure for obtaining a satisfying solution by the use of linguistic quantifier guided aggregation which implies fuzzy majority. This is an approach to combine a prescriptive decision method via a mathematical programming and a well-established approximate solution method to aggregate multiple objects.

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Design of Knowledge-based Spatial Querying System Using Labeled Property Graph and GraphQL (속성 그래프 및 GraphQL을 활용한 지식기반 공간 쿼리 시스템 설계)

  • Jang, Hanme;Kim, Dong Hyeon;Yu, Kiyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.5
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    • pp.429-437
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    • 2022
  • Recently, the demand for a QA (Question Answering) system for human-machine communication has increased. Among the QA systems, a closed domain QA system that can handle spatial-related questions is called GeoQA. In this study, a new type of graph database, LPG (Labeled Property Graph) was used to overcome the limitations of the RDF (Resource Description Framework) based database, which was mainly used in the GeoQA field. In addition, GraphQL (Graph Query Language), an API-type query language, is introduced to address the fact that the LPG query language is not standardized and the GeoQA system may depend on specific products. In this study, database was built so that answers could be retrieved when spatial-related questions were entered. Each data was obtained from the national spatial information portal and local data open service. The spatial relationships between each spatial objects were calculated in advance and stored in edge form. The user's questions were first converted to GraphQL through FOL (First Order Logic) format and delivered to the database through the GraphQL server. The LPG used in the experiment is Neo4j, the graph database that currently has the highest market share, and some of the built-in functions and QGIS were used for spatial calculations. As a result of building the system, it was confirmed that the user's question could be transformed, processed through the Apollo GraphQL server, and an appropriate answer could be obtained from the database.

Assessment of the Potential Consumers' Preference for the V2G System (V2G 시스템에 대한 잠재적 소비자의 선호 평가)

  • Lim, Seul-Ye;Kim, Hee-Hoon;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.25 no.4
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    • pp.93-102
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    • 2016
  • Vehicle-to-Grid (V2G) system, bi-direction power trading technology, enables drivers possessing electric vehicle to sell the spare electricity charged in the vehicle to power distribution company. The drivers gain profit by charging electricity in the day time of high electricity rate. In this regard, the government is preparing the policies of building and supporting V2G infrastructure and demanding the potential consumers' preference for the V2G system. This paper attempts to analyze the consumers' preference using the data from obtained a survey of randomly selected 1,000 individuals. To this end, choice experiment, an economic technique, is employed here. The attributes considered in the study are residual amount of electricity, electricity trading hours, required plug-in time, and price measured as an amount additional to current gasoline vehicle price. The multinomial logit model, which requires the assumption of 'independence of irrelevant alternatives', is applied but the assumption could not be satisfied in our data. Thus, we finally utilized nested logit model which does not require the assumption. All the parameter estimates in the utility function are statistically significant at the 10% level. The estimation results show that the marginal willingness to pay (MWTP) for one hour increase in electricity trading hours is estimated to be KRW 1,601,057. On the other hand, a one percent reduction in residual amount of electricity and one hour reduction in required plug-in time in V2G system are computed to be KRW -91,911 and -470,619, respectively. The findings can provide policy makers with useful information for decision-making about introducing and managing V2G system.

Optimized Feature Selection using Feature Subset IG-MLP Evaluation based Machine Learning Model for Disease Prediction (특징집합 IG-MLP 평가 기반의 최적화된 특징선택 방법을 이용한 질환 예측 머신러닝 모델)

  • Kim, Kyeongryun;Kim, Jaekwon;Lee, Jongsik
    • Journal of the Korea Society for Simulation
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    • v.29 no.1
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    • pp.11-21
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    • 2020
  • Cardio-cerebrovascular diseases (CCD) account for 24% of the causes of death to Koreans and its proportion is the highest except cancer. Currently, the risk of the cardiovascular disease for domestic patients is based on the Framingham risk score (FRS), but accuracy tends to decrease because it is a foreign guideline. Also, it can't score the risk of cerebrovascular disease. CCD is hard to predict, because it is difficult to analyze the features of early symptoms for prevention. Therefore, proper prediction method for Koreans is needed. The purpose of this paper is validating IG-MLP (Information Gain - Multilayer Perceptron) evaluation based feature selection method using CCD data with simulation. The proposed method uses the raw data of the 4th ~ 7th of The Korea National Health and Nutrition Examination Survey (KNHANES). To select the important feature of CCD, analysis on the attributes using IG-MLP are processed, finally CCD prediction ANN model using optimize feature set is provided. Proposed method can find important features of CCD prediction of Koreans, and ANN model could predict more accurate CCD for Koreans.

A Study on the Factors of Choosing the Liner Shipping Companies Using AHP Method by International Freight Forwarder (AHP기법을 이용한 국제물류주선업체의 정기해운선사 선택요인에 관한 연구)

  • Song, Sun-Yok
    • International Commerce and Information Review
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    • v.13 no.2
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    • pp.95-117
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    • 2011
  • The Purpose of this study is to identify important factors in choosing liner shipping companies using the AHP. The Analytic Hierarchy Process(AHP), introduced by Satty T. L. in 1970, is a decision technique the has been applied to private and public sectors and to group decision problems. This paper will demonstrate the level of importance in 4 major factors: cost, service, transportation and promotion. In detail, the 4 major factors are divided into 14 sub-factors. In the present research, various service attributes for shipping lines were selected from previous studies and the observed data for 4 main service attributes were collected through a questionnaire survey from 26 concerned international freight forwarder experts. The conclusion of this study is as follows. First, it is found that the cost factor is the most important factor among the 4 main service attributes. It is very obvious that the cost factor directly affects the choosing the liner shipping company by international freight forwarders. Second, it is found that the second important factor in choosing the liner shipping company is the transportation factor and the third is the service factor. The promotion factor is underestimated, comparatively speaking. With the ever-increasing competition, liner shipping companies will need to study and understand the selection criteria of their clients(international freight forwarder), and apply the results to their daily and long-terms operations. In particular, liner shipping companies should establish a system to identify and sort the various selection criteria used by international freight forwarding companies.

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Development a Measurement Scale for Analysis on Factors Influencing College Choice of College Freshman's (전문대학 신입생들의 대학선택 영향 요인 분석을 위한 측정도구 개발)

  • Kim, Myung-Eun;Jang, Won-Seok
    • The Journal of the Korea Contents Association
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    • v.16 no.7
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    • pp.50-62
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    • 2016
  • The aim of this study was to develop scale of test taker to affect on process of selection of college. The study procedures were performed as follow : establish of study model, item generation, verification of content validity, 1st and 2nd pilot test and verification of construct validity and reliability. In order to verification of validity and reliability, 230 freshman were surveyed and the data were analyzed by mean, standard deviation, skewness. kurtosis, Pearson correlation, Verimax factor analysis and Cronbach's ${\alpha}$. As result of factor analysis, the 15 factors(61 items) that explain 68.37% of the total variance were extracted and each factors were classified by attribution as follow : Information collection-mass media(4items), college activity (3items), support and environment(4items), education(5items), Influential person on decision making(3items), education quality(4items), education service(5items), reputation(3items), accessibility(2items), personal circumstances(2items), college's mass media(5items), promotion (4items), on-line(4items), person's PR (3items), College image(10items). Cronbach's ${\alpha}$ of total items was 0.916 and Cronbach's ${\alpha}$ of each factors were showed range between 0.694~0.878. Measurement scale of this study may be utilized to collect basic data be required to establish policy strategy of local college be faced with difficulty of admission recruitment.

A study of affective circumplex model on gesture property (동작 속성에 따른 정서 차원 분석)

  • Yoo, Sang;Han, Kwang-Hee
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.1379-1386
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    • 2006
  • 전자우편이나 문자 메세지를 이용할 때 겪는 불편함 중 하나는 상대방이나 기계에 정서 정보를 전달하기 어렵다는 점이다. 정서 정보를 메시지에 싣기 위해서는 컴퓨터나 디지털 기기가 정서를 인식하거나 사용자가 정서를 입력해야 한다. 기존의 정서 인식 방법은 생리적, 신체적 측정치를 이용하는 것인데, 이 경우 측정을 위한 별도의 장비가 필요하고 현재 자신의 정서 상태와 다른 정서를 표현할 수 없다는 단점이 있다. 특히 소형 모바일 기기를 이용할 때 다른 측정 장치를 사용하는 것은 더욱 어렵다. 이런 문제를 해결하기 위해 모바일 기기를 사용하는 환경에서 사용자가 원하는 정서를 기계에 입력하기 위해 동작을 이용하려는 연구가 진행되었다(Fargerberg, Stahl, & Hook, 2003). 본 연구에서는 Laban Movement Analysis에서 동작을 구성하는 다섯 요소 중 노력(effort)과 모양(shape) 요소를 재구성하여, 방향성 차원, 무게감 차원, 시간감 차원으로 동작을 구분하고 총 20개의 동작을 선정하였다. 또한 한덕웅과 강혜자(2000)가 수집한 834개 정서 어휘를 평정하여 동작을 통해 표현하고 전달되기 쉬운 정서 어휘 50개를 선택하였다. 최종 실험에서 참가자들은 20개의 동작에 대해 50개의 정서 어휘를 평정하고 데이터는 범주형 주성분분석을 이용하여 분석하였다. 분석 결과 Russell(1980)의 이차원 정서 구조 모형에서 각성 수준 차원은 동작의 무게감과 시간감 차원과 관련이 있는 것으로 나타났다. 강하고 빠른 동작일수록 각성 수준이 높은 정서가 나타났다. 또한 동작의 방향성 차원은 정서의 종류와 관련이 있는 것으로 드러났다. 직선 움직임은 높은 각성 수준의 부정적 정서와, 흔듦 움직임은 불안 및 초조와, 원형 움직임은 즐거운 정서와 관련이 있는 것으로 나타났다. 이는 동작을 통하여 정서 정보를 효과적으로 전달할 수 있음을 보여주었고, 동작과 정서를 연관 짓기 위해 방향성 차원과 무게감 차원 그리고 시간감 차원을 고려할 필요가 있음을 시사한다.

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The Conjoint Analysis of Users' Preference on the VODs of the Newly-released Movies (최신 영화 VOD 이용자의 선호도에 대한 컨조인트 분석)

  • Yim, Jungsu
    • The Journal of the Korea Contents Association
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    • v.13 no.5
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    • pp.191-198
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    • 2013
  • This study examined the importance of independent variables that affect users' preference on the VODs of the newly-released movies by using the conjoint analysis. The results demonstrated that 'price(44.6%)' is the most important variable, which is followed by 'device(24.5%)', 'recency(18.0%)', 'producing country(12.9%)'. Respondents obtained the relatively high utility from watching the VOD of a Korean movie currently on screen in 3,000 wons. A television set was the most preferable device for watching VODs. The traditional windowing strategy in the media content market has been recently challenged by the new trend that the holdback period between market windows is ignored and the high-priced content is found in the second window. Nevertheless, this study demonstrated that users of the VODs of the newly-released movies are still very sensitive to the price and consider 'the recency' to be relatively less important than 'price'.