• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6603-6608
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• 2014

Cervical cancer is one of the leading causes of cancer in women worldwide. One way by which the incidence of this malignant disease can be minimized is by imparting knowledge through health education. This study aimed at developing an educational package on cervical cancer (EPCC) and determining its effectiveness in terms of significant increase in knowledge of rural women regarding cervical cancer. A one group pre-test, post-test design was adopted. Thirty rural women were selected using a convenient sampling method. Data were collected using a demographic questionnaire and a structured knowledge questionnaire developed by the researchers. The EPCC was designed for a duration of one hour and 10 minutes. The structured knowledge questionnaire was first administered as the pre-test, following which knowledge on cervical cancer was imparted using the EPCC. On the 8th day, the post-test was administered. Data were analyzed using descriptive and inferential statistics. The mean post-test knowledge score of the women regarding cervical cancer was significantly higher than that of their mean pre-test score, indicating that the EPCC was effective in improving the knowledge of rural women on cervical cancer. The association between pre-test knowledge scores and selected demo-graphic variables were computed using chi-square test showed that pre-test knowledge score of the women regarding cervical cancer was independent of all the socio-demographic variables. It was concluded that the EPCC is effective in improving the knowledge of women, regarding cervical cancer. Since the prevalence of cervical cancer is high, there is an immediate need to educate women on prevention of cervical cancer.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.2
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• pp.211-225
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• 1992

The purposes of this study were 1) to estimate the brand loyalty related to clothing items,2) to investigate the differences between the brand loyal group and the brand disloyal group in 4 determinant variables (product involvement, information source, purchase-related and demo- graphic variables) of brand loyalty, 3) to find out important determinant variables which explain the brand loyalty on clothing items, and 4) to identify product attributes that lead to brand loyalty on clothing items. Four clothing items selected (ortho study were underwear, jean / skirt, T-shirt / sweater, and formal dress / suits. The questionnaire was administered to 529 adult women living in Seoul, and the methods used to analyze the data were Frequency, T-Test, $x^{2}-test$, Factor Analysis and Multiple Discriminant Analysis. The results of this study were as follows: 1) Both behavior and attitude are needed for the measurement of brand loyalty in clothing. The hightes brand loyal item was formal dress / suits, followed by jean / skirt, T-shirt / sweater, underwear. 2) There were some significant differences between the brand loyal group and the brand disloyal group in 4 determinant variables of brand loyalty. 3) The important determinant variables of brand loyalty were perceived risk / brand differ-ence, purchase experience / self-confidence in purchase, and product symbolic / hedonic mean-ing, of which the most important varible was found to be perceived risk / brand difference. 4) The most important product attribute that lead to brand loyalty for underwear was comfort whereas for the other 3 clothing items, it was style. Quality was the second important productattributeforallclothingitems.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.59-70
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• 2018

With the breakthrough of speech recognition technology, conversational agents have become pervasive through smartphones and smart speakers. The recognition accuracy of speech recognition technology has developed to the level of human beings, but it still shows limitations on understanding the underlying meaning or intention of words, or understanding long conversation. Accordingly, the users experience various errors when interacting with the conversational agents, which may negatively affect the user experience. In addition, in the case of smart speakers with a voice as the main interface, the lack of feedback on system and transparency was reported as the main issue when the users using. Therefore, there is a strong need for research on how users can better understand the capability of the conversational agents and mitigate negative emotions in error situations. In this study, we applied social strategies, "forewarning" and "apology", to conversational agent and investigated how these strategies affect users' perceptions of the agent in breakdown situations. For the study, we created a series of demo videos of a user interacting with a conversational agent. After watching the demo videos, the participants were asked to evaluate how they liked and trusted the agent through an online survey. A total of 104 respondents were analyzed and found to be contrary to our expectation based on the literature study. The result showed that forewarning gave a negative impression to the user, especially the reliability of the agent. Also, apology in a breakdown situation did not affect the users' perceptions. In the following in-depth interviews, participants explained that they perceived the smart speaker as a machine rather than a human-like object, and for this reason, the social strategies did not work. These results show that the social strategies should be applied according to the perceptions that user has toward agents.

• Archives of design research
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• v.20 no.3 s.71
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• pp.289-298
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• 2007

The EGI system is a new communication method in limelight for helping disabled users to input and handle information on the computer more easily. However, due to the EGI system's "JEM(Jittery Eye Movements)" generation, it actually increases heavy psychological and physiological stresses for the user to input or perceive the target information on a machine. This study illustrates how to resolve this "JEM" issue and suggests a method that is easy and simple to be controled by anyone. A demo tool was built and tested to find and prove the reasons for "JEM" This test shows that that the case with snap up is less stressful than without to input text as a final result of the test evaluation in both psychological snap up and physiological brain wave test. Postnatal or naturally acquired, it is found that the disabled can have opportunities for smoother communication, and a possible efficient system development for better communication.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.135-142
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• 2015

Appearance and rapid growth of the social network services (SNS) have led to changes in the distribution structure of information. Consumers can obtain various information quickly via the social network services and companies make use of a new advertising channel in them. In order to increase the effect of publicity activities through the social network services, development and application of public relations strategy by evaluating and analyzing the results of the activities is required. In this paper, a method for developing a low cost system to evaluate and analyze the results of public relations through the social networks is proposed. The proposed method was verified through building and running a demo system to collect and analyze data in the Facebook fan pages using MySQL database and PHP script on a Linux server.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.571-575
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• 2015

This paper propose a temporal histogram -based behavior pattern analysis algorithm to analyze the movement features of moving objects from the image inputted in real-time. For the purpose of tracking and analysis of moving objects, it needs to be performed background learning which separated moving objects from the background. Moving object is extracted as a background learning after identifying the object by using the center of gravity and the coordinate correlation is performed by the object tracking. The start frame of each of the tracked object, the end frame, the coordinates information and size information are stored and managed by the linked list. Temporal histogram defines movement features pattern using x, y coordinates based on time axis, it compares each coordinates of objects for understanding its movement features and behavior pattern. Behavior pattern analysis system based on temporal histogram confirmed high tracking rate over 95% with sustaining high processing speed 45~50fps through the demo experiment.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.337-343
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• 2018

The study is investigated socioeconomic variations in perceived oral health status and contribution of oral health behavioral factors. A nationally representative sample (365 health and 1,787 unhealth aged 20 over years) from the 2015 Korea National Health and Nutrition Surveys was analyzed using logistic regression. Perceived oral health was lower among lower socioeconomic groups compared with higher socioeconomic groups. This association was increased when demo-socioeconomic factors and oral health behavioral were adjusted. When each oral health behavioral factor was considered separately, mediators such as smoking, frequency of tooth brushing and used oral care products or oral health examination explained a large part of the increased socioeconomic oral health status. Subjective bad oral health arise from different socioeconomic status, but this difference is increased by oral health behavioral factors. Therefore, socioeconomic inequity in perceived oral health status can be corrected more effectively by promotional oral health behaviors.

• Korean Journal of Biological Psychiatry
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• v.6 no.1
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• pp.96-101
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• 1999

Background : Since dysthymia begins in late childhood or adolescence and has a chronic course, long-term pharmacotherapy may be required. New generation antidepressant, moclobemide, with more acceptable side effect profiles, is effective in the treatment of dysthymia. The main objective of this study was to determine whether they exhibit comparable efficacy and tolerability in dysthymia to amitriptyline. Method and Materials : The efficacy and tolerability of the moclobemide and amitriptyline, were compared in a eight-week single-centre double-blind study in patients(n=37) with dysthymia using he HAMD-17, the Clinical Global Impression Scale(CGI), the Montgomery-Asberg Depression Rating Scale (MADRS), Efficacy Index-Therapeutic Index(EITE), 4-point Index Side Effect Scale(4-PISES), and Efficacy Index- Side Effect Scale(EISE). Results : A total of 37 patients entered the study, 19 were randomly assigned to the moclobemide group and 18 to be amitriptyline group. Demo-graphic and illness characteristics were similar in both groups. There were no significant difference between two groups at the total 17-HDRS score, the HAMD-17% improvement, the total MADRS score, CGI response, and the EITE. In the comparison of EISE between two groups, the scores of the moclobemide group were relatively lower than the amitriptylinen group in full treatment. And the differences were significant(moclobemide group $1.39{\pm}0.61$ ; amitriptyline group $2.00{\pm}0.85$, p<.001). At the 4-PISE, There was no serious or treatment threatening side effects. And there was no specific difference in side effects between two groups. The moclobemide group reported higher EIR scores than the amitriptyline group at every follow up day, but the differences were not significant. And, there was no significant differences in the scores of five HRQOL subcategories which is compared between two groups at every follow up days. Conclusions : In terms of 17-HDRS and MADRS, moclobemide and amitriptyline are equally effective at least in allevating dysthymic symptoms. But moclobemide tended to be less troubling and better tolerated than amitriptyline. Therefore, moclobemide treatment can be used as a safe, and higher satisfactory treatment strategy for the dysthymia.

• Korean Chemical Engineering Research
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• v.56 no.5
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• pp.631-640
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• 2018

The application of an oxy-combustion circulating fluidized bed combustor (Oxy-CFBC) for low grade coals has recently developed in the world to meet the continuous increase of energy demand and to achieve the reduction of greenhouse gases. Since demo plants for Oxy-CFBC have been developed, the combustion properties of Oxy-CFBC in various operation conditions, such as gas flow rates, combustion temperature, fuel, and so on, should be investigated to develop design criteria for a commercial Oxy-CFBC. In this study, a computational simulation tool for Oxy-CFBC was developed on the basis of the IEA-CFBC (International Energy Agency Circulating Fluidized Bed Combustor) model. Simulation was performed under various conditions such as reaction temperature ($800^{\circ}C{\sim}900^{\circ}C$), oxygen contents (21%~41%), coal feeding rate, Ca/S mole ratio (1.5~4.0), and so on. Simulation results show that the combustion furnace temperature is higher in oxy 1 than air fired. However, the temperature gradient tended to decrease with increasing oxy mixing percent. In case of $SO_x$, the higher the Ca/S mole ratio and oxy mixing percent, the higher the desulfurization efficiency.

• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.129-139
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• 2012

This paper introduces a recommender system that is to recommend broadcast content. Our recommender system uses user's viewing history for personalized recommendations. Broadcast contents has unique characteristics as compared with books, musics and movies. There are two types of broadcast content, a series program and an episode program. The series program is comprised of several programs that deal with the same topic or story. Meanwhile, the episode program covers a variety of topics. Each program of those has different topic in general. Therefore, our recommender system recommends TV programs to users according to the type of broadcast content. The recommendations in this system are based on user's viewing history that is used to calculate content similarity between contents. Content similarity is calculated by exploiting collaborative filtering algorithm. Our recommender system uses java sparse array structure and performs memory-based processing. And then the results of processing are stored as an index structure. Our recommender system provides recommendation items through OPEN APIs that utilize the HTTP Protocol. Finally, this paper introduces the implementation of our recommender system and our web demo.