• Journal of Broadcast Engineering
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• v.20 no.1
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• pp.140-152
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• 2015

HCI(Human Computer Interaction) enables the interaction between people and computers by using a human-familiar interface called as Modality. Recently, to provide an optimal interface according to various devices and service environment, an advanced HCI method using multiple modalities is intensively studied. However, the multimodal interface has difficulties that modalities have different data formats and are hard to be cooperated efficiently. To solve this problem, a multimodal communicator is introduced, which is based on EMMA(Extensible Multimodal Annotation Markup language) and MMI(Multimodal Interaction Framework) of W3C(World Wide Web Consortium) standards. This standard based framework consisting of modality component, interaction manager, and presentation component makes multiple modalities interoperable and provides a wide expansion capability for other modalities. Experimental results show that the multimodal communicator is facilitated by using multiple modalities of eye tracking and gesture recognition for a map browsing scenario.

• The Journal of the Acoustical Society of Korea
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• v.23 no.6
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• pp.488-496
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• 2004

This paper describes a music information retrieval system which uses humming as the key for retrieval Humming is an easy way for the user to input a melody. However, there are several problems with humming that degrade the retrieval of information. One problem is a human factor. Sometimes people do not sing accurately, especially if they are inexperienced or unaccompanied. Another problem arises from signal processing. Therefore, a music information retrieval method should be sufficiently robust to surmount various humming errors and signal processing problems. A retrieval system has to extract pitch from the user's humming. However pitch extraction is not perfect. It often captures half or double pitches. even if the extraction algorithms take the continuity of the pitch into account. Considering these problems. we propose a system that takes multiple pitch candidates into account. In addition to the frequencies of the pitch candidates. the confidence measures obtained from their powers are taken into consideration as well. We also propose the use of an algorithm with three dimensions that is an extension of the conventional DP algorithm, so that multiple pitch candidates can be treated. Moreover in the proposed algorithm. DP paths are changed dynamically to take deltaPitches and IOIratios of input and reference notes into account in order to treat notes being split or unified. We carried out an evaluation experiment to compare the proposed system with a conventional system. From the experiment. the proposed method gave better retrieval performance than the conventional system.

• Journal of Global Scholars of Marketing Science
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• v.15 no.1
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• pp.105-120
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• 2005

The research regarding the important attribute which gives an effect to golf club membership purchase. 1990's as the golf boom as percentage shows the rapid increase of the golf course visitor and it grows, from 2001 are passing over ten million people golf course visitors. When purchasing golf club membership, it is important from the research which it sees the attributes which it thinks probably are what, it grasped and the scope of research did Seoul and the metropolitan area golf user in the object and it executed an empirical.analysis. In order to raise the reality and a reliability of research also it executed the collection and a Question investigation and a empirical analysis of various statistical data. The result of research a frequency analysis, descriptive analysis, factor analysis, multiple regression analysis and a correspondence analysis used the SPSS/PC+ 10.0 which and is a statistics package program. The results show that four dimensions of image were derived from 14 important attributes, using a factor analysis. A correspondence analysis indicates that statistically significant relationships existed between some of Golf club membership factors with respect to the demographic variables of income and Golf frequency. A multiple regression analyses also indicate that most of Golf club membership factors had great impacts on visitors' recommend.

• Korean Journal of Environment and Ecology
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• v.34 no.2
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• pp.179-187
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• 2020

The study was conducted on Godeoksan, Gangdong-gu, Seoul, for the study of elderly people's park use and satisfaction. For the analysis, frequency analysis was performed on all items, and reliability analysis was performed to check the validity of the items. Factor analysis was used to identify items that have a significant effect on the customer's satisfaction. Multiple regression analysis was performed using the derived factors. As a result of factor analysis, it was found that the factors affecting satisfaction were composed of three factors and 69.50% of the total variance was explained. The KMO value, which means the sample fit between items, was analyzed as .756. Factors were classified into usage aspect, ecological aspect, and amenityt aspect by reflecting the characteristics of the item. As a result of the multiple regression analysis through the derived factors, the multiple regression equation for the elderly's park use satisfaction was analyzed to be Y = 3.678 + 0.202X₁ + 0.125X₂ + 0.236X₃. In this study, there are limitations in conducting a questionnaire survey for the elderly who lack professional knowledge. In the future, evaluation studies should be conducted for the elderly with specialized knowledge, and it is judged that a comparative study of ecological, utilization, and climatic aspects by age is necessary.

• Journal of Korean Public Health Nursing
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• v.14 no.2
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• pp.431-445
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• 2000

In general the prevalence of old people is high and frequently have multiple diseases and symtoms requiring treatment. The nature of illness in the elderly has to be faced, and drugs do have an important part in the treatment of that illness. The purpose of this study were to describe health status and medication, and to provide some basic data for elderly's health education, especially for the right medication. Body mass index, self perceived health status, activities of daily living, disease and experience of past operation were surveyed to recognize the 249 elderly's actual health status. The degree of the elderly's understanding the way of medication, experience of side effects, experience of drug combination and incidence of drug adverse reaction along with drug combination were examined for medication. The aged $women(BMI; 10.7\pm13.3\%)$ overweighed the aged $men(BMI; 4.0\pm10.4\%)$. $69.0\%$ of them recognized their health good. Their activities of daily living were diminished following by the age group(p=0.0068) and relationship with self perceived health status were very significant(p=0.0005). They(192 elderly) suffered from multiple disease such as $osteoarthritis(49.5\%)$, $hypertension(32.0\%)$, gastric $disorder(16.1%)$, $diabetes(14.6\%)$, $osteomalacia(10.9\%)$, cardiovascular $disease(9.9\%)$, senile $cataract(5.7\%)$, skin $rash(5.2\%)$, liver $disease(4.2\%)$, kidney $disease(3.6\%)$, spinal cord $problem(3.6\%)$, respiratory $disease(2.1\%)$ $tuberculosis(1.0\%)\;etc(1.0\%).$ $28.3\%$ of them replied that they had an operation for appendictis senile cataract, peptic ulcer, spinal cord problem, pleurisy, hemorrhoid and the rest. Most of $them(87.4\%)$ knew the way very well how to use drugs, and $21.6\%$ of the replied 171 elderly experienced adverse drug reaction. Drug compliance rate were $high(83.6\%)$. In our study 56.9% of the 167 elderly took several medicine together. And $18.9\%$ of the 95 elderly who did drug combination had an experience of drug interaction. One person kept average 5.5 kinds of drugs at home among 243 elderly. They kept $digestives(79.4\%)$, $ointments(68.7\%)$, $vitamins(59.7\%)$, $analgesics(59.7\%)$, cold $medicines(45.3\%)$ antiarthritic $drugs(33.3\%)$, health $foods(27.7\%)$, antihypertensive $drugs(25.1\%)$, anti peptic ulcer $drugs(24.7\%)$, $laxatives(19.8\%)$, $antacids(16.5\%),\;antibiotics(l6.5\%)$, hypoglycemic $agents(10.3\%)$, cardiac $stimulants(7.0\%)$, $diuretics(4.5\%)$, antiarrhythmic $drugs(4.9\%)$, anti anginal $drugs(4.1\%)$, $hypnotics(3.3\%)$, $etc(38.3\%)$. With this result, we ascertain that polypharmacy in the elderly caused by multiple disease is common, which lead to drug interaction. So our task is to educate elderly how to use drugs in order to maximize their efficiency and to minimize their adverse effects.

• Korean Journal of Social Welfare
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• v.69 no.2
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• pp.63-88
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• 2017

This study was to find out the effect of emotional maltreatment by parents on revictimization of emotional maltreatment by peers targeting second-year students of middle school with depression and social withdrawal as mediating variables. To this end, those who experienced physical violence by parents or friends were excepted from panel data collected by National Youth Policy Institute (KCYPS) and data of 752 people who experienced emotional maltreatment by parents or peers were analyzed. Research hypotheses were verified by a utilizing structural equation model. The results can be summarized as follows: First, experiencing emotional maltreatment by parents has a direct impact on depression and social withdrawal. Second, it was found that depression has a direct impact on experiencing emotional maltreatment by peers while social withdrawal is significant in an indirect path affecting with depression as a mediating variable. Third, the multiple mediated effects of depression and social withdrawal were significant in the revictimization relationship between emotional maltreatment by parents and emotional maltreatment by peers. This means that emotional maltreatment by parents becomes a predictor in re-experiencing emotional maltreatment by peers. It also means that emotional maltreatment by parents has an indirect effect through psychological and emotional factors such as depression and social withdrawal rather than having a direct effect. Based on the results of this study, limitations of the study and suggestions for future research were discussed.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.3
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• pp.129-141
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• 2019

In recent years, fast growing cities in Korea are showing signs of being vulnerable to more disasters as their population and facilities increase and intensify. In particular, fire is one of the most common disasters in Korea's cities, along with traffic accidents. Therefore, in this study, we analyze what type of factors affect the fire that threatens urban people. Fire data were acquired for 10 years, from 2007 to 2017, in Jinju, Korea. Spatial distribution pattern of fire occurrence in Jinju was assessed through the spatial autocorrelation analysis. First, spatial autocorrelation analysis was carried out to grasp the spatial distribution pattern of fire occurrence in Jinju city. In addition, correlation and multiple regression analysis were used to confirm spatial dependency and abnormality among factors. Based on this, OLS (Ordinary Least Square) regression analysis was performed using space weighting considering fire location and spatial location of each facility. As a result, First, LISA (Local Indicator of Spatial Association) analysis of the occurrence of fire in Jinju shows that the most central commercial area are fire department, industrial area, and residential area. Second, the OLS regression model was analyzed by applying spatial weighting, focusing on the most derived factors of multiple regression analysis, by integrating population and social variables and physical variables. As a result, the second kind of neighborhood living facility showed the highest correlation with the fire occurrence, followed by the following in the order of single house, sales facility, first type of neighborhood living facility, and number of households. The results of this study are expected to be useful for analyzing the fire occurrence factors of each facility in urban areas and establishing fire safety measures.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.253-263
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• 2017

As needs for knowledge on Korean history and the attention of the people are rapidly increasing, various smartphone applications for learning the history have appeared during recent years. These applications provide multiple choice questions to users through their own problem banks. But, since these questions are selected from the fixed set of problems that are stored previously, the learning efficiency of users is inevitably decreased when they use the applications repeatedly. In this paper, we present a question generation system named K-History which generates multiple choice questions in an automatic way using the database on the history of Korea. In addition, we also describe the development of the application Korean History Infinite Challenge as a learning application for Korean history. To develop K-History, we classify typical types of learning problems through various problems based on Korean history learning materials, proposing algorithms to generate problems according to the types found. Through the developed techniques, various learning systems can reduce the cost for creating questions, while increasing the learning efficiency of users.

• Journal of the Korean Applied Science and Technology
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• v.41 no.2
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• pp.188-198
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• 2024

This study was conducted to understand the level of compliance and influencing factors to respiratory infection prevention among the college students who experienced the COVID-19 pandemic. An online survey was conducted on 200 college students from December 15, 2023 to January 5, 2024, and the data of 199 people who responded faithfully were analyzed using descriptive statistics, t-test, ANOVA, and multiple regression through SPSS 18.0. According to the result, the compliance level of respiratory infection prevention was 32.95±6.05 points on average out of 48 points. The general characteristics, which showed differences in the compliance level of respiratory infection prevention, and the characteristics related to respiratory infections were identified to be major (t=-2.59, p=.010), education on respiratory infection prevention (t=1.99, p=.048), influenza vaccination of the year (t=-2.10, p=.037), COVID-19 vaccination of the year (t=3.56, p<.001), and mask wearing in crowded places (t=4.96, p<.001). As for the factors influencing the compliance to respiratory infection prevention, major (β=0.31, p<.001), influenza vaccination of the year (β=-0.15, p=.046), and mask wearing in a crowded places (β=-0.31, p<.001) were identified as a significant variable in the multiple regression analysis. In conclusion, since respiratory infections continue to occur even after the termination of COVID-19 epidemic, it is necessary to make efforts to promote compliance to respiratory infection prevention practice, and it is expected that the factors identified in this study can be used as the basic data when developing a respiratory infection prevention program targeting college students.

• Journal of the Korean Society of Food Science and Nutrition
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• v.30 no.5
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• pp.993-999
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• 2001

The purpose of the study was to develop a nutritional counseling program using expert system to assist obese people to lose weight through behavior modification in the internet. The counseling internet program for weight loss was developed by the accumulation of knowledge for dealing with eating habits and exercising behaviors into expert system tool, Knowledge Engineering Agent (KEA) by a dietitian without any help of computer expert. KEA was built based on the theory of Multiple Classification Ripple Down Rules. To accumulate knowledge into KEA, survey was performed in 150 obese people, the dietitian reviewed and consulted each survey case, and the consulted contents were learned and accumulated into KEA. Survey questionnaires were the same as those of the internet consulting program, and they included general characteristics, dietary habits, lifestyle, and exercise patterns related to obesity. KEA was used for nutritional counseling of obese people after KEA had enough knowledge for weight loss based on behavior modification by the dietitian. To accumulate knowledge to KEA, the dietitian selected proper factors inferred from the survey questionnaire of each case, and added the conclusions for them. Conclusions were made for helping clients to correct bad eating behaviors and accumulate good behaviors for losing weight. When clients answered survey questionnaires in a counseling internet program, KEA gave the recommendation how to eat, to exercise and the deal with stress in a real time for each case. If KEA did not have enough knowledge for a specific case, the conclusion window wrote no conclusion and the dietitian needed to add conclusions for the case. The conclusions for the new case added to the KEA knowledge base. In conclusions, a counseling internet program for weight reduction can be used for give advices how to deal with obesity in a man-to-man way in a real time using KEA where nutritional knowledge based on behavior modification for weight loss was accumulated.