• Title/Summary/Keyword: FEEL structure

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A Study of the Children's Health in Super-Highrise Apartments (초고층 아파트 거주 아동의 건강성 조사연구)

  • Paik, Hae-Sun;Kang, In-Ho
    • Journal of the Korean housing association
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    • v.17 no.6
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    • pp.1-8
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    • 2006
  • Though super-highrise apartment buildings have become increasingly widespread, their negative effects on the residents have not been investigated sufficiently and practically in domestic situations. In particular, the foreign discussion on residential environment and the residents' health can not be applied domestically due to physical or cultural differences including physical residential space structure and life-style. Therefore, this research aims to investigate the inter-relationship between residence in super-highrise apartments and their residents' health, to reveal the problems which exist. for this purpose, a parental-response health evaluation - questionnaire on children's physical, emotional and behavioral characteristics was given to a total of 336 persons. The health of the children living in super-highrise apartments is evaluated to be good, and is related to what floor of the apartment building people live on. It is represented that the higher the story, the better the children's health. However, there is no meaningful difference according to various evaluation items including the frequency and type of disease, emotional health, behavioral characteristics, etc. Therefore, it cannot be said that children's health shows no meaningful differences depending on what floor they live on. The parents dwelling on higher floors of the building display a more careful educational attitude. This is because they feel anxious about the children's safety as shown by the fact they live on higher stories.

Optimal Path Finding based on Raster GIS in Indoor Spaces (건물내부공간에서의 Raster GIS기반 최적경로 탐색)

  • Kim, Byung-Hwa;Jun, Chul-Min
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.1
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    • pp.1-8
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    • 2007
  • People tend to spend more time in indoor spaces than before such as shopping malls and subway stations. As buildings become larger and more complex, people feel difficulty in finding their ways to destinations. Consequently, a means to provide better paths can aid people in reducing time for finding ways. Routing information in large indoor spaces is especially required in emergency cases as fire, power failure and terror. This study suggests to compute optimal paths using $A^*$ algorithm based on raster GIS data structure. The suggested method can be used either in daily lives for path provision or in emergency cases for evacuation, and is illustrated on a campus building.

Fault Tree Analysis and its Application for Designing High Reliability Electrical System in Underwater Vehicle (수중함 전기 계통의 고 신뢰도 설계를 위한 고장나무분석과 적용)

  • Kim, Jin-San;Choi, Jin-Sung;Bin, Jae-Goo;Kang, Feel-soon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.1
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    • pp.33-39
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    • 2017
  • A top priority in the design of underwater vehicle is to guarantee the dependability of the electric system because failure of the electrical power supply system is directly related to the life of the passengers. In this paper, we present four kinds of alternative designs to improve reliability of electrical system in underwater vehicle. To reduce the risk and to increase availability of the electrical system, we use the redundancy of the grid structure and power converter. For all design alternatives, we carry out Fault Tree Analysis. Based on the FTA result, we implement RAM simulation to compare the risk and availability for the proposed design alternatives.

Public Sentiment Analysis of Korean Top-10 Companies: Big Data Approach Using Multi-categorical Sentiment Lexicon (국내 주요 10대 기업에 대한 국민 감성 분석: 다범주 감성사전을 활용한 빅 데이터 접근법)

  • Kim, Seo In;Kim, Dong Sung;Kim, Jong Woo
    • Journal of Intelligence and Information Systems
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    • v.22 no.3
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    • pp.45-69
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    • 2016
  • Recently, sentiment analysis using open Internet data is actively performed for various purposes. As online Internet communication channels become popular, companies try to capture public sentiment of them from online open information sources. This research is conducted for the purpose of analyzing pulbic sentiment of Korean Top-10 companies using a multi-categorical sentiment lexicon. Whereas existing researches related to public sentiment measurement based on big data approach classify sentiment into dimensions, this research classifies public sentiment into multiple categories. Dimensional sentiment structure has been commonly applied in sentiment analysis of various applications, because it is academically proven, and has a clear advantage of capturing degree of sentiment and interrelation of each dimension. However, the dimensional structure is not effective when measuring public sentiment because human sentiment is too complex to be divided into few dimensions. In addition, special training is needed for ordinary people to express their feeling into dimensional structure. People do not divide their sentiment into dimensions, nor do they need psychological training when they feel. People would not express their feeling in the way of dimensional structure like positive/negative or active/passive; rather they express theirs in the way of categorical sentiment like sadness, rage, happiness and so on. That is, categorial approach of sentiment analysis is more natural than dimensional approach. Accordingly, this research suggests multi-categorical sentiment structure as an alternative way to measure social sentiment from the point of the public. Multi-categorical sentiment structure classifies sentiments following the way that ordinary people do although there are possibility to contain some subjectiveness. In this research, nine categories: 'Sadness', 'Anger', 'Happiness', 'Disgust', 'Surprise', 'Fear', 'Interest', 'Boredom' and 'Pain' are used as multi-categorical sentiment structure. To capture public sentiment of Korean Top-10 companies, Internet news data of the companies are collected over the past 25 months from a representative Korean portal site. Based on the sentiment words extracted from previous researches, we have created a sentiment lexicon, and analyzed the frequency of the words coming up within the news data. The frequency of each sentiment category was calculated as a ratio out of the total sentiment words to make ranks of distributions. Sentiment comparison among top-4 companies, which are 'Samsung', 'Hyundai', 'SK', and 'LG', were separately visualized. As a next step, the research tested hypothesis to prove the usefulness of the multi-categorical sentiment lexicon. It tested how effective categorial sentiment can be used as relative comparison index in cross sectional and time series analysis. To test the effectiveness of the sentiment lexicon as cross sectional comparison index, pair-wise t-test and Duncan test were conducted. Two pairs of companies, 'Samsung' and 'Hanjin', 'SK' and 'Hanjin' were chosen to compare whether each categorical sentiment is significantly different in pair-wise t-test. Since category 'Sadness' has the largest vocabularies, it is chosen to figure out whether the subgroups of the companies are significantly different in Duncan test. It is proved that five sentiment categories of Samsung and Hanjin and four sentiment categories of SK and Hanjin are different significantly. In category 'Sadness', it has been figured out that there were six subgroups that are significantly different. To test the effectiveness of the sentiment lexicon as time series comparison index, 'nut rage' incident of Hanjin is selected as an example case. Term frequency of sentiment words of the month when the incident happened and term frequency of the one month before the event are compared. Sentiment categories was redivided into positive/negative sentiment, and it is tried to figure out whether the event actually has some negative impact on public sentiment of the company. The difference in each category was visualized, moreover the variation of word list of sentiment 'Rage' was shown to be more concrete. As a result, there was huge before-and-after difference of sentiment that ordinary people feel to the company. Both hypotheses have turned out to be statistically significant, and therefore sentiment analysis in business area using multi-categorical sentiment lexicons has persuasive power. This research implies that categorical sentiment analysis can be used as an alternative method to supplement dimensional sentiment analysis when figuring out public sentiment in business environment.

A Research of Exhibition Narrative Oriented Space Analysis of Science Museum - Based on Exhibition Space of Gwachun National Science Museum (내러티브 관점에서의 과학박물관 전시공간 분석 - 과천과학관의 자연사 및 전통과학 전시공간을 중심으로-)

  • Kim, Seongjin;Lee, Hyunsoo
    • Korean Institute of Interior Design Journal
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    • v.23 no.2
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    • pp.108-116
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    • 2014
  • This study is based on the arguments of Sofia Sarah and concept of 'Sequence Narrative' of Nigel Coates, the founder of Nato. Specifically, this study was conducted under the premise that narrative exhibition space will affect the engagement of viewers. As a result of this study, a method of analyzing a science museum's exhibition space was presented using the narrative structure and the following attributes of visuals: sequence of viewing; spatial tension; spatial pace. The findings are as follows. In terms of 'spatial tension', the exhibiton space with the following progression was more likely to provide viewers with in-depth experience: 'raise of tension' - 'change of pace' - detente.' Although the limited sample doesn't lead to verification of the analysis method and conclusion of its significance, the following was clearly revealed: Exhibiton space that utilizes the structure and attributes of a narrative that provides progression and dramatic tension, as if the viewers were watching a film, is more likely to offer in-depth experience than other spaces. In terms of 'phase transition', the following was revealed: Pace variation around the space with the strongest spatial tension could affect the concentration and engagement of viewers. It suggests the following fact: Spatial rhythm and speed variation in the area with the strongest visual emphasis encourage viewers to feel the spatial changes, maintain their concentration, and continue their viewing.

Exploratory Research for Happiness-related Curriculum Introduction in Medical Education (의학교육에서의 행복 관련 교육과정 도입을 위한 탐색적 연구)

  • Yoo, Hyo Hyun
    • The Journal of the Korea Contents Association
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    • v.17 no.3
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    • pp.400-407
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    • 2017
  • The purpose of this research was analyzing pre-post change of concept recognition structure about happiness and activity in which medical school students feel happiness, in order to develop such curriculum accordingly. Research subjects included a total of 36 sophomores attending medical school, and a day reconstruction method and network analysis were applied. According to the research finding, while medical school students were experiencing a lot of happiness while eating/talking and doing leisure activities, the frequency of feeling happiness through learning activities was shown to be low. Words that expressed happiness before and after were similar in many parts and 'economy' showed the highest degree centrality before and 'work' showed the highest degree centrality after. Because the structure of the concept about happiness was divided from 1 group into 4 groups including one's work, positive self, health of family, value about life etc., perception of the concept about happiness was changed from the concept about superficial happiness to the concept about actual happiness. Therefore, in order for prospective doctors who will treat human health to establish the concept and value about happiness properly, education about happiness is necessary and for this, curriculum related to happiness must be developed systematically.

A Research on Knowledge Sharing among Air Transportation Professionals (이직종간 지식공유 활성화 방안에 대한 연구 : 항공운항 분야를 중심으로)

  • Kim, Wan-Hyun;Park, Sang-Bum
    • The Journal of Industrial Distribution & Business
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    • v.8 no.6
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    • pp.61-73
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    • 2017
  • Purpose - Aviation control, navigation, and aircraft control in the air transportation area are very specialized. Each part is in progress for safety, efficiency, automation, and further. On the other hand co-work among each part including knowledge sharing has been inattentive for many reasons. The purpose of this research is to show how practicians and professionals in the air transportation area perceive the issue of knowledge sharing and to recall the necessity of knowledge sharing in the area. And we try to find ways to activate the knowledge sharing in the area. Research design, data, methodology - For the research, we inquired into whether practicians and professionals think knowledge sharing can effect safe aviation positively or not and what steps are necessary to activate knowledge sharing in the area. We adopted survey method using questionnaires for current practicians and interview for specialists. The survey and interview results were analyzed using regression analysis and AHP method. The interview for specialists and analyzing the results using AHP was to investigate what are the precedence factors to activate the knowledge sharing. Results - First, practicians perceive that knowledge sharing will affect aviation safe positively. Second objective knowledges such as, tower air traffic control procedure of aviation control area, flight principle and structure of aircraft control area, instrument landing system of navigation area, for knowledge sharing of each area were identified. Also the precedence factors such as, knowledge absorbability of personal factor, personal expectation of result of expectation factor, leadership of management of Structure factor, method of knowledge spread of application factor for knowledge sharing were found. Conclusions - Knowledge sharing for practicians and professionals in the aviation area is very important especially from the perspective of safety. However, for various many reasons including the environment of each special area that focusing on their own area, knowledge sharing has not been emphasized. We found that practicians in the area feel that knowledge sharing is necessary and helpful. For it, each practician's active participation is the most important and many ways such as chatting room to share knowledge are to be developed. And the organization culture should be changed to encourage knowledge sharing.

Development of Road Safety Estimation Method using Driving Simulator and Eye Camera (차량시뮬레이터 및 아이카메라를 이용한 도로안전성 평가기법 개발)

  • Doh, Tcheol-Woong;Kim, Won-Keun
    • International Journal of Highway Engineering
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    • v.7 no.4 s.26
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    • pp.185-202
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    • 2005
  • In this research, to get over restrictions of a field expreiment, we modeled a planning road through the 3D Virtual Reality and achieved data about dynamic response related to sector fluctuation and about driver's visual behavior on testers' driving the Driving Simulator Car with Eye Camera. We made constant efforts to reduce the non-reality and side effect of Driving Simulator on maximizing the accord between motion reproduction and virtual reality based on data Driving Simulator's graphic module achieved by dynamic analysis module. Moreover, we achieved data of driver's natural visual behavior using Eye Camera(FaceLAB) that is able to make an expriment without such attaching equipments such as a helmet and lense. In this paper, to evaluate the level of road's safety, we grasp the meaning of the fluctuation of safety that drivers feel according to change of road geometric structure with methods of Driving Simulator and Eye Camera and investigate the relationship between road geometric structure and safety level. Through this process, we suggest the method to evaluate the road making drivers comfortable and pleasant from planning schemes.

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Model Construction of Perceived Uncertainty in Rheumatoid Arthritis Patients (류마티스 관절염 환자가 지각하는 불확실성에 관한 모형 구축)

  • Yoo, Kyung-Hee;Lee, Eun-Ok
    • Journal of muscle and joint health
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    • v.5 no.1
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    • pp.7-25
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    • 1998
  • Rheumatoid arthritis, unlike other chronic diseases, causes the patients to experience uncertainty in their daily lives and thus to feel threat on their emotional comfort because of inconsistent and unpredictable symptoms such as pain. Therefore, a theoretical framework is needed for explanation of uncertainty in patients having rheumatoid arthritis. A hypothetical model was constructed on the basis of Mishel's Uncertainty Theory and other literature review. The model included 9 theoretical concepts and 19 paths. Subjects of the study constituted 330 partients who visited outpatient clinics of two university hospitals and one general hospital in Seoul. Self report questionnaires were used to measure the variables affecting uncertainty. Reliability coefficients of these instruments were found Cronbach's Alpha=$.70{\sim}.94$. In data analysis, SAS program and PC-LISREL 8.03 computer program were utilized for descriptive statistics and covariance structure analysis. The results of covariance structure analysis for model fitness were as follows : 1) Hypothetical model showed a good fit to the empirical data : Chi-square($X^2$)=41.81 (df=11, P=.000), Goodness of Fit Index=.974, Root Mean Square Residual=.049, Normed Fit Index=.928, Non Normed Fit Index=.814. 2) For the validity and the parcimony of model, a modified model was constructed by appending 2 paths and deleting 5 paths according to the criteria of statistical significance and meaningfulness. 3) The results of hypothesis testing were as follows : (1) Educational level, event familiarity and severity of illness had a direct effect on uncertainty : Event congruency had both direct and indirect effect on uncertainty : Credible authority and symptom consistency had a nonsignificant direct effect on uncertainty, (2) Illness duration, symptom consistency, and event congruency had a direct effect on severity of illness ; Credible authority had a both direct and indirect effect on severity of illness ; Event congruency had the greatest effect on severity of illness, and event familiarity had a nonsignificant direct effect on severity of illness.

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A Study on the Postpartum Depression Experience : Q-Methodological Approach (산후 우울 경험에 관한 연구 -Q 방법론적 접근-)

  • 장혜숙;김수진;김정선;김흥규;최의순
    • Journal of Korean Academy of Nursing
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    • v.26 no.4
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    • pp.917-929
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    • 1996
  • The purpose of this study is to explore types of postpartum depression and to understand the nature and structure of the postpartum depression by using Q-methodological approach. As a way of research, 55 statements concerning postpartum depression were selected through individual interviews with postpartum mothers and literature review. 30 women were chosen as a subject group for the study, with opinions shown in 55 statements divided into 9 scales by forced distribution. PC QUANL Program was used for analysis and Q-factors were analyzed by using principal component analysis. As a result, postpartum depression experience was classified into 5 types. There are "Role-Strain Type", "Unattributional Depression Type", "Psychosomatic Symptoms Type", "Self-Compassion Type", and "Role-Crisis Type". Type I was named "Role-Strain Type", referring to the strain generally experienced by mothers with regard to the new role as a mother and as a social member. Type II was named "Unattributional Depression Type", referring to the symptom experienced by people who were in a state of vanity and a sense of loss. They often break into tears for no specific reasons. In case of Type III, people in a state of "Psychosomatic Symptoms Type" develop physical symptoms after suffering from inherent emotional conflict. Type IV was named "Self-Compassion Type" refers to the symptom shown by those who feel pity for their children and for themselves. And they show inability to cope with the reality properly. Type V was named "Role -Crisis Type", which is experienced by people who have a burden and a severe fear of their own job and their children in their mind, also showing serious conflict with maternal role. Futhermore, it was carried out to examine structure of postpartum depression in terms of degree of depression and adjustment ability. Type I showed mild degree of depression and relatively good adjustment ability. Type II showed broad range of degree in depression and moderate adjustment ability. Type III showed moderate depression and relatively low adjustment ability. Type IV revealed relatively serious degree of depression and the lowest adjustment ability. Type V revealed very serious degree of depression and the lowest adjustment ability. As a result, considering the structure of postpartum depression. Type I is considered to be a normal depression sympton which most mothers generally experience, followed by Type II, Type III, Type IV and Type V, each of which show increasingly worse degree of depression and lower adjustment ability. In conclusion, it seems to be it is necessary to understand distinct symptoms of postpartum depression and to examine the characteristics and structure of those types, so that it could lead to more individual nursing approach.cteristics and structure of those types, so that it could lead to more individual nursing approach.

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