• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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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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• v.21 no.3
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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.

• Journal of Korean Society for Geospatial Information Science
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• v.7 no.2 s.14
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• pp.47-56
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• 1999

In this study, tie point observation in aerial triangulation was automated by the image processing methods. The technique includes boundary extraction and We matching processes. The procedures were applied to extract points of Interest and to find their conjugate points in the other images. The image coordinates of the identified points were then used to compute their absolute coordinates. An algorithm was developed in this study for the automation of observation in aerial triangulation, which is a manual process of selecting a tie point and recording the image coordinate of the selected point. The developed algorithm automates this process through the application of a mathematical operator to extract points of interest from an arbitrary image. The root m square error of image coordinates of the developed algorithm is $6.8{\mu}m$, which is close to that of the present analytical method. In a manual environment, the accuracy of the result of a photogrammetric process is heavily dependant on the level of skill and experience of the human operator. No such problem exists in an automated system. Also, as a result of the automated system, the time spent in the observation process could be reduced by a factor of 61.2%, thereby reducing the overall cost.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2008.11a
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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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• v.17 no.12
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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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• v.5
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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.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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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.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.273-284
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• 2015

The purpose of the study is to investigate baseline data by exploring the self-esteem and general appearance management behavior in North Korean immigrant women. The data were collected from December 2014 to February 2015 from 201 participants. The data were analyzed using SPSS 21.0 program. The followings are the results of the present study. 1) The mean score of self-esteem was 2.40 in 4 points, and the mean of the appearance concern was 3.20 in 5 points. And the mean of general appearance management behavior was 2.67 in 5 points. Subjects had a lot of make-up and clothes behaviors. However exercise, food intake behaviors of subjects were lowerer than average. 2) There were significant differences between self-esteem, the appearance concern and general charateristeics(e.g age, intent weight loss, interest in cosmetic surgery). In general appearance management behavior, there was a significant difference among age, interest in cosmetic surgery and job in North Korea. 3) There was a significant correlation among self-esteem and the appearance concern, general appearance management behavior, age, intent weight control as well as interest in cosmetic surgery. In the appearance concern, it showed a correlation with general appearance management behavior, age, intent weight control as well as interest in cosmetic surgery. In general appearance management behavior, there was a significant correlation among the age, intent weight control and interest in cosmetic surgery. 4) 44.7% of general appearance management behavior was explained: self-esteem, the appearance concern. Therefore, it can be suggested that utilization of developing programs for improving self-esteem and appearance management behavior.

• Journal of Korean Home Economics Education Association
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• v.7 no.1
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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%.

• Korean journal of food and cookery science
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• v.25 no.5
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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.