• 대한간호학회지
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• 제26권3호
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• pp.632-652
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• 1996

It has been noted that a genetic alteration of cells influenced by unhealthy lifestyle in addition to a series of other carcinogens increases the incidence of various neoplasmic diseases. Therefore the importance of a lifestyle that minimizes such an impact on health should be emphasized. Since stomach cancer, the most common neoplasmic disease in Korea, is related to personal lifestyle and as there is a possibility of its recurrence, patients with stomach cancer need to lead a healthy lifestyle. Also the quality of life which patients experience is negatively affected by the side effects of treatments and the possibility of recurrence. Therefore an effective nursing intervention to enhance quality of life and encourage healthy lifestyle is needed. The purpose of this study is to provide a basis for nursing intervention strategies to promote health and thus enhance quality of life. A hypothetical model for this purpose was constructed based on Pender's Health Promotion Model and Becker's Health Belief Model, with the inclusion of some influential factors such as hope for quality of life and health promoting behavior. The aims of study were to : 1) evaluate the effectiveness of patient's cognitive-perceptual factors on health promoting behaviors and quality of life ; 2) examine the causal relationships among perceived benefit, perceived barrier, perceived susceptibility and severity, internal locus of control, perceived health status, hope, health concept, self efficacy, self esteem health promoting behaviors & quality of life ; 3) build and test a global hypothetical model. The subjects for this study were 164 patients who were being treated for stomach cancer were approached in the outpatient clinic on a University Hospital. The data from the completed questionnaires were analyzed using Linear Structural Relationships (LISREL). The results of research are as follows : 1) Hypothetical model and the modified model showed a good fit to the empirical data, revealing considerable explanational power for health promoting behaviors(54.9%) and quality of life(87.6%) 2) Self efficacy and hope had significant effects on health promoting behaviors. Of these, hope was affected indirectly through self efficacy and self esteem. 3) Perceived health status, hope and self esteem had significant direct effect on the quality of life. Of these variables, perceived health status was the most essential factor affecting general satisfaction in life. 4) Self-efficacy, as a mediating variable, was positively affected by perceived benefit and hope. 5) Self-esteem, as a mediating variable, was positively affected by perceived health status and hope. 6) Hope was the main variable affecting self efficacy, self esteem, health promoting behaviors and quality of life. The derived model in this study could effectively be used as a reference model for further study and could suggests a direction for nursing practices

• 동아시아경상학회지
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• 제2권4호
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• pp.56-64
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• 2014

Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. Many approaches have been proposed to analyze the large amount of available information with the aim of discovering the most popular Points of Tourist Interest and routes. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. Whether you are looking for banks by company, foreign exchange services, free wireless hotspots, touristic attractions, campsites, supermarkets, restaurants, cinemas, The aim of POI Tourism Services is to enable tourists to find spots that only the locals know, giving the tourists opportunity to the tourists to explore new areas of the place like never before. This paper proposes find the scope for a personalized service for tourist "Special Interest Tourism" recommendation for tourists who travel within India & for the benefit of Foreign Nationals who visit the country. The major focus of the study is to understand the demand for such a service being integrated into the conventional tour package. The major findings made during the course of the show that the market for "Special Interest Tourism" based services stands at approximately 63%. Travel today is mainly for the people from the middle income group having a fixed budget while traveling and would like economic travel solutions that fit their budget. This accounts for a major part of the market for the service. Most tourist prefer to go on week end getaways or trips that last more than a week, this means that a specialized trip plan based on the travelers interests is feasible with these type of travelers. Maximum demand for "Special Interest Tourism" based services would be during the festive seasons.

• 한국CDE학회논문집
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• 제15권4호
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• pp.297-305
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• 2010

Medical image acquisition techniques such as CT and MRI have disadvantages in that the numerous time and efforts are needed. Furthermore, a great amount of radiation exposure is an inherent proberty of the CT imaging technique, a number of side-effects are expected from such method. To improve such conventional methods, a number of novel methods that can obtain 3D medical images from a few X-ray images, such as algebraic reconstruction technique (ART), have been developed. Such methods deform a generic model of the internal body part and fit them into the X-ray images to obtain the 3D model; the initial shape, therefore, affects the entire fitting process in a great deal. From this fact, we propose a novel method that can generate a 3D vertebraic generic model based on the statistical database of CT scans in this study. Moreover, we also discuss a method to generate patient-tailored generic model using the facts obtained from the statistical analysis. To do so, the mesh topologies of CT-scanned 3D vertebra models are modified to be identical to each other, and the database is constructed based on them. Furthermore, from the results of a statistical analysis on the database, the tendency of shape distribution is characterized, and the modeling parameters are extracted. By using these modeling parameters for generating the patient-tailored generic model, the computational speed and accuracy of ART can greatly be improved. Furthermore, although this study only includes an application to the C1 (Atlas) vertebra, the entire framework of our method can be applied to other body parts generally. Therefore, it is expected that the proposed method can benefit the various medical imaging applications.

• Parasites, Hosts and Diseases
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• 제47권3호
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• pp.235-241
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• 2009

The aim of this study was to estimate the benefit from repeated examinations in the diagnosis of enterobiasis in nursery school groups, and to test the effectiveness of individual-based risk predictions using different methods. A total of 604 children were examined using double, and 96 using triple, anal swab examinations. The questionnaires for parents, structured observations, and interviews with supervisors were used to identify factors of possible infection risk. In order to model the risk of enterobiasis at individual level, a similarity-based machine learning and prediction software Constud was compared with data mining methods in the Statistica 8 Data Miner software package. Prevalence according to a single examination was 22.5%; the increase as a result of double examinations was 8.2%. Single swabs resulted in an estimated prevalence of 20.1% among children examined 3 times; double swabs increased this by 10.1%, and triple swabs by 7.3%. Random forest classification, boosting classification trees, and Constud correctly predicted about 2/3 of the results of the second examination. Constud estimated a mean prevalence of 31.5% in groups. Constud was able to yield the highest overall fit of individual-based predictions while boosting classification tree and random forest models were more effective in recognizing Enterobius positive persons. As a rule, the actual prevalence of enterobiasis is higher than indicated by a single examination. We suggest using either the values of the mean increase in prevalence after double examinations compared to single examinations or group estimations deduced from individual-level modelled risk predictions.

• 응용통계연구
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• 제21권3호
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• pp.469-484
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• 2008

본 연구는 신입사원들의 이직의도에 영향을 미치는 작업환경 변수가 무엇인지를 파악하기 위하여 실시되었다. 본 연구를 위해 현 직장이 첫 직장이며 근속기간 6개월 이내인 901명의 신입사원들을 대상으로 온라인 설문을 실시하였다. 다중회귀분석을 통하여 신입사원들의 이직의도에 미치는 작업환경 변수를 분석한 결과 직무부합, 임금불만, 복리후생 불만, 회사에서의 비전, 의사결정참여, 현실적 직무안내, 상사불만, 동료관계, 그리고 업무환경 등의 9개 변수가 유의한 영향을 미치는 것으로 나타났다. 다중회귀분석 과정에서 기업유형과 고용형태가 이직의도에 유의한 영향을 미치는 것으로 나타나 전체 조사대상자들을 중소기업과 대 기업으로, 또한 정규직과 비 정규직으로 구분하여 동일한 회귀분석을 실시한 결과 기업유형과 고용형태에 따라 이직의도를 설명하는데 유의 한 영향을 미치는 변수들은 다소 차이가 있었다. 본 연구의 시사점과 미래 연구에 대해 논의하였다.

• 디지털융복합연구
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• 제15권12호
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• pp.503-508
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• 2017

스크린 X가 프리미엄 대형 영화(Premium Large-Format, 이하PLF)의 플랫폼 중 하나이다. 스크린 X은 관람관안에 중앙 스크린과 좌우 양쪽 스크린을 연결해서 세 면 스크린을 구성한 시술이다. 이 새로운 나온 PLF 플랫폼은 관람자에게 파노라마 비주얼을 제공할 수 있다. 다만 영상 콘텐츠를 촬영했을 때 스크린 2 개 더 있기 때문에 콘텐츠 화면을 더 추가적인 제작해야 된다. 스크린 X는 제일 명확히 특징이 270도 범위로 콘텐츠를 시청할 수 있는 것이다. 시청자가 일반 영화 스크린 화면의 프레임 워크를 넘어선 경험을 갖도록 하여 시청자가 시청 경험에 대한 특정 장면을 가장 직접적으로 볼 수 있다. 그래서 스크린 X는 3D 안경을 착용하지 않아도 시청자에게 몰입 효과를 줄 수 있는 의미가 있다. 이 특징 연구 결과에 따라 스크린 X에 맞은 콘텐츠 사양 및 제작 방식을 연구하며, 시각효과를 극대화한 콘텐츠에 대한 연구를 목표로 한다. 그리고 향후 스크린 X 영상 콘텐츠 관련 연구자와 산업계 종사자들에게 향후 도움이 될 수 있는 연구 논문으로 사료 될 것을 기대한다.

• 동아시아경상학회지
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• 제1권2호
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• pp.29-41
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• 2013

Purpose: Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. Many approaches have been proposed to analyze the large amount of available information with the aim of discovering the most popular Points of Tourist Interest and routes. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. Research Design, Data and Methodology: Whether you are looking for banks by company, foreign exchange services, free wireless hotspots, touristic attractions, campsites, supermarkets, restaurants, cinemas, The aim of POI Tourism Services is to enable tourists to find spots that only the locals know, giving the tourists opportunity to the tourists to explore new areas of the place like never before. This paper proposes find the scope for a personalized service for tourist "Special Interest Tourism" recommendation for tourists who travel within India & for the benefit of Foreign Nationals who visit the country. Results: The major focus of the study is to understand the demand for such a service being integrated into the conventional tour package. The major findings made during the course of the show that the market for "Special Interest Tourism" based services stands at approximately 63%. Travel today is mainly for the people from the middle income group having a fixed budget while traveling and would like economic travel solutions that fit their budget. Conclusion: This accounts for a major part of the market for the service. Most tourist prefer to go on week end getaways or trips that last more than a week, this means that a specialized trip plan based on the travelers interests is feasible with these type of travelers. Maximum demand for "Special Interest Tourism" based services would be during the festive seasons.

• 디지털융복합연구
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• 제14권7호
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• pp.21-27
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• 2016

빅데이터가 다양한 산업 분야에서 모든 관심을 끌고 있다. 사물과 사물 간 연결과 모바일 장치들의 용도 확대는 데이터의 폭발적인 증가를 불러오고 있다. 이러한 데이터를 분석하여 민간과 공공 분야에서는 비용 절감과 생산성 분야에 있어서 혜택을 누리고 있다. 한국 정부는 이러한 활용을 촉진하기 위해서, 빅데이터 산업발전전략을 활발하게 추진하고 있다. 본 연구는 빅데이터의 적극적인 육성이 필요한 산업 분야를 전문가의 검증을 통해 선정하였다. 전문가의 50여명의 체계적인 의견 도출을 위해 계층분석법(AHP)을 적용하였다. 분석 결과 의료,복지, 운송/창고보관업, 정보통신/정보보안, 에너지, 금융 분야가 빅데이터 적용이 유망한 것으로 확인되었다. 도출 결과는 앞으로 빅데이터 시범사업으로 인한 모범사례의 발굴 등에 활용되어 빅데이터 산업 발전에 기여할 것이다.

• 디자인학연구
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• 제17권3호
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• pp.245-254
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• 2004

본 연구는 제품과 사용자의 관계를 직접 관찰할 수 있는 방법으로써 시선추적 장비를 활용하여 기존의 사용성 평가 기법들의 한계를 보완하는 것이 목적이다. 이를 위해, 시선추적 분석을 위한 이론을 기반으로 새로운 평가기법 '시선추적 사용검사와 휴리스틱 평가'를 제안하였다. 그리고, 모바일 폰에 대한 사용성 평가를 통해 시선의 경로와 고정점을 통해 사용자의 관심을 확인하고, 동공크기의 기록을 통해 사용자의 인지과정을 이해하기 위한 단서를 효과적으로 얻을 수 있었다. 그 결과, 디자인의 시각적인 속성을 활용하기 위해 시선추적 기록을 분석하고, 동공의 확대를 관찰하여 사용자의 감정상태를 유추함으로써 디자인의 사용성 분석을 효과적으로 평가할 수 있었다.

• Membrane and Water Treatment
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• 제9권2호
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• pp.95-104
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• 2018

Copper pollution around the world has caused serious public health problems recently. The heavy metal adsorption on traditional membranes from wastewater is limited by material properties. Different adsorptive materials are embedded in the membrane matrix and act as the adsorbent for the heavy metal. The carbonized leaf powder has been proven as an effective adsorbent material in removing aqueous Cu(II) because of its relative high specific surface area and inherent beneficial groups such as amine, carboxyl and phosphate after carbonization process. Factors affecting the adsorption of Cu(II) include: adsorbent dosage, initial Cu(II) concentration, solution pH, temperature and duration. The kinetics data fit well with the pseudo-first order kinetics and the pseudo-second order kinetics model. The thermodynamic behavior reveals the endothermic and spontaneous nature of the adsorption. The adsorption isotherm curve fits Sips model well, and the adsorption capacity was determined at 61.77 mg/g. Based on D-R model, the adsorption was predominated by the form of physical adsorption under lower temperatures, while the increased temperature motivated the form of chemical adsorption such as ion-exchange reaction. According to the analysis towards the mechanism, the chemical adsorption process occurs mainly among amine, carbonate, phosphate and copper ions or other surface adsorption. This hypothesis is confirmed by FT-IR test and XRD spectra as well as the predicted parameters calculated based on D-R model.