• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.176-184
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• 2023

Points of interest (POIs) are widely used in tourism recommendations and to provide information about areas of interest. Currently, situation judgement using POI and GPS data is mainly rule-based. However, this approach has the limitation that inferences can only be made using predefined POI information. In this study, we propose an algorithm that uses POI data, GPS data, and schedule information to calculate the current speed, location, schedule matching, movement trajectory, and POI coverage, and uses machine learning to determine whether to stay or go. Based on the input data, the clustered information is labelled by k-means algorithm as unsupervised learning. This result is trained as the input vector of the SVM model to calculate the probability of moving and staying. Therefore, in this study, we implemented an algorithm that can adjust the schedule using the travel schedule, POI data, and GPS information. The results show that the algorithm does not rely on predefined information, but can make judgements using GPS data and POI data in real time, which is more flexible and reliable than traditional rule-based approaches. Therefore, this study can optimize tourism scheduling. Therefore, the stay detection algorithm using GPS movement trajectories and POIs developed in this study provides important information for tourism schedule planning and is expected to provide much value for tourism services.

• Child Health Nursing Research
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• 제21권3호
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• pp.216-226
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• 2015

Purpose: The purpose of this study was to investigate the knowledge and attitude on tuberculosis by parents of North Korean refugees' children. Methods: A descriptive study was conducted. Data were collected from July to November, 2014 in Hanawon and 74 North Korean refugee parents participated in the study. Data were analyzed using the SPSS 21.0. Results: The score for knowledge was 17.72 out of 30 points, for awareness in attitude, 49.34 out of 60 points and for prevention behavior in attitude, 48.39 out of 60 points. There were positive significant correlations among knowledge, attitude and health interest. There was also a significant positive correlation between awareness and prevention behavior in attitude, and between prevention behavior and health interest. Conclusion: North Korean refugee parents showed a low level of knowledge and a negative attitude. The implication of these results is an awareness of the need for education on the causes, transmission and importance of treatment for tuberculosis. This kind of education can guide North Korean refugee parents to obtain correct information and positive attitudes and therefore, be able to effectively practice appropriate health behaviors in tuberculosis management for their children.

• 대한공간정보학회지
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• 제7권2호
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• pp.47-56
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• 1999

본 연구에서는 사진측량 과정에서 항공삼각측량의 접합점 관측과정을 경계선 검색기법과 영상정합기법을 이용하여 특징점 추출, 영상의 정합 상좌표의 관측 과정을 자동화하였다. 본 연구를 통하여 기존에 수동적인 방법에 의하여 수행되어 오던 항공삼각측량의 접합점 선정 및 상좌표 관측 과정을 특징점 추출 및 좌우 동일점 탐색과정 수행에 의한 접합점 선정 및 관측 자동화 기법을 개발하였다. 자동화된 접합점 선정과정을 적응하여 산출된 결과물은 상좌표의 평균제곱근 오차가 $6.8{\mu}m$로서, 기존의 해석적 사진 측량방법이 작업자의 경력이나 기술 숙련도에 따라 편차가 발생하는 것에 비해, 균일한 성과를 산출할 수 있으며, 관측과정에서 소요되는 처리시간은 기존의 해석적인 방법에 비하여 61.2% 절감되어 경제적인 작업 처리가 가능하였다.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2008년도 추계학술논문발표회 논문집
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• pp.35-40
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• 2008

As the environmental pollution by the drastic increase of vehicles becomes one of the social major concerns, the method of reducing the harmful exhaust emission is being the subject of interest. Utilization of used frying oil as a raw material for biodiesel production is helpful not only for the stable supply of raw materials but also costing down the biodiesel price. This study was conducted the measurement the combustion and thermal characteristics with mixing ratio of biodiesel/diesel fuel. In this study, flash points and fire points were measured by using Tag Closed cup apparatus and Cleveland open cup apparatus. As the result, flash points, fire points and AIT increased with percentage of more contained biodiesel.

• Journal of Mechanical Science and Technology
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• 제17권12호
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• pp.1961-1968
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• 2003

In this paper, an efficient numerical algorithm for the kinematic analysis of the standard MacPherson suspension system is presented. The kinematic analysis of the suspension mechanism is carried out in terms of the rectangular Cartesian coordinates of some defined points in the links and at the kinematic joints. Geometric constraints that fix the distances between the points belonging to the same rigid link are introduced. The nonlinear constraint equations are solved by iterative numerical methods. The corresponding linear equations of the velocity and acceleration are solved to yield the velocities and accelerations of the unknown points. The velocities and accelerations of other points of interest as well as the angular velocity and acceleration of any link in the mechanism can be calculated.

• Korean Journal of Hydrosciences
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• 제5권
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• pp.45-55
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• 1994

A new method to estimate the mean areal precipitation using kriging is developed. Urlike the conventional approach, points for double and quadruple numerical integrations in the kriging equation are selected randomly, given the boundary of area of interest. This feature eliminates the conventional approach's necessity of dividing the area into subareas and calculating the center of each subarea, which in turn makes the developed method more powerful in the case of complex boundaries. The algorithm to select random points within an arbitrary boundary, based on the theory of complex variables, is described. The results of Monte Carlo simulation showed that the error associated with estimation using randomly selected points is inversely proportional to the square root of the number of sampling points.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2000년도 춘계정기학술대회 e-Business를 위한 지능형 정보기술 / 한국지능정보시스템학회
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• pp.235-241
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• 2000

This article suggests integrated neural network models for the interest rate forecasting using change point detection. The basic concept of proposed model is to obtain intervals divided by change point, to identify them as change-point groups, and to involve them in interest rate forecasting. the proposed models consist of three stages. The first stage is to detect successive change points in interest rate dataset. The second stage is to forecast change-point group with data mining classifiers. The final stage is to forecast the desired output with BPN. Based on this structure, we propose three integrated neural network models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported neural network model, (2) case based reasoning (CBR)-supported neural network model and (3) backpropagation neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. This article is then to examine the predictability of integrated neural network models for interest rate forecasting using change-point detection.

• 한국콘텐츠학회논문지
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• 제15권12호
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• pp.273-284
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• 2015

본 연구는 북한이탈 여성의 자아존중감과 외모관리행동의 관련성 및 외모관리행동에 영향을 미치는 요인을 파악하기 위한 연구이며, 2014년 12월부터 2015년 2월까지 북한이탈여성 총 201명의 자료를 분석하였다. 자료는 SPSS 21.0을 이용하여 분석한 결과는 다음과 같다. 첫째, 대상자의 자아존중감은 4점 만점에 2.40점으로 조사되었다. 외모관심도는 5점 만점에 3.20점이며, 외모관리 행동은 5점 만점에 2.67점으로, 대상자들은 메이크업과 의복관리 행동을 많이 하지만 운동, 섭식 행동은 평균보다 낮은 것으로 조사되었다. 둘째, 대상자의 자아존중감과 외모관심도는 연령, 체중조절의도 및 성형관심도에 따른 유의한 차이를 보였으며, 외모관리행동에서는 외모관리 하위 영역별 차이는 있으나, 연령, 성형관심도, 재북시 직업과 유의한 차이를 보였다. 셋째, 대상자의 자아존중감은 외모관심도, 외모관리행동과 연령, 체중조절의도 및 성형관심도와 유의한 상관관계가 있었다. 외모관심도는 외모관리행동, 연령, 체중조절의도 및 성형관심도와의 상관관계를 보였으며, 또한 외모관리행동은 연령, 체중조절의도 및 성형관심도와 유의한 상관관계를 보였다. 넷째, 자아존중감과 외모관심도는 대상자의 외모관리행동을 44.7% 설명하였다. 따라서, 본 연구는 한국사회의 중요한 구성원인 북한이탈여성들의 자아존중감 향상 및 외모관리 프로그램 개발의 기초자료로 활용될 것이라 기대한다.

• 한국가정과교육학회지
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• 제7권1호
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• pp.11-27
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• 1995

The purpose of this research is to study the middle and high school student’s value on the family life of the contemporary society. The data for this study has been collected for 808 students of kangwon-do by Liert-scale Type questionnaire. The data were processed by SPSS-X Program. Frequency, Percentage, Mean, Standard Deviation, One-way ANOVA, Pearson’r coefficient, Step-wise multiple regression and Cronbach’coefficient have been calculated and analyzed. The Summary of this research is described as follows. Firstly, the overall average of value of family life was 3.25 points which reflected more or less modern tendency. Secondly, significant difference in the student’s value of family life affected by environmental variables were such as sex(P<.001) school years(P<.001) group(P<.01). Thirdly, the overall average of the student’s interest in the home economics was 3.74 points which reflected heigher tendency, Significant difference in the student’s interest in the home economics according to environmental variables were such as sex(P<.001) school years(P<.05), living standard(P<.01), residential area(P<.001). Fourthly, the student’s overall interest in the home economics and their view on the family life were correlated as follows; Spare time(r=-1.3), parents-children(r=.12) relatives and neighbors(r=0.8) show lower correlation and household work(r=.07) show higher correlation. Fifthly, the area which has closest correlation with the value on the family life was the value on family economics, whereas is has been shown that the field with least correlation was the area of supporting the spare time. Sixthly changes that affect the student’s value of the family life were such as sex (${\beta}$=.43), school years(${\beta}$=.18), group(${\beta}$=.15) and interest degrees(${\beta}$=-.12). These whole explanatory power was 21%.

• 한국식품조리과학회지
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• 제25권5호
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• pp.564-574
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• 2009

This study was conducted to evaluate the effects of the LOHAS index value of school food service employees on the purchase of food materials and foodservice quality. The subjects consisted of 566 foodservice employees. The findings were as follows. (1) The foodservice employee's LOHAS index fell within that of a NOMADICS group with an average of 72.18 points out of 100 points. (2) When the age, working experience and LOHAS index of the foodservice employees was high, the necessity, view, interest and recognition of LOHAS introduction for the improvement of the foodservice environment was high. (3) The amount of environmentally-friendly food materials purchased by foodservice employees was high, when they had a high LOHAS index. (4) High foodservice quality management items of foodservice employees were 'sanitation management' (3.87 points) and 'human resource management' (3.84 points), whereas 'menu management' (3.57 points) and 'food material and inspection management' (3.61 points) scored low. (5) The LOHAS index of foodservice employees has a significant impact on the purchase intention of environmentally-friendly food materials in LOHAS and NOMADICS groups. (6) This study confirmed that a higher LOHAS index of foodservice employees was associated with higher foodservice quality management behavior, which leads to an improved quality of foodservice.