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Game Theoretic Optimization of Investment Portfolio Considering the Performance of Information Security Countermeasure (정보보호 대책의 성능을 고려한 투자 포트폴리오의 게임 이론적 최적화)

  • Lee, Sang-Hoon;Kim, Tae-Sung
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.37-50
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    • 2020
  • Information security has become an important issue in the world. Various information and communication technologies, such as the Internet of Things, big data, cloud, and artificial intelligence, are developing, and the need for information security is increasing. Although the necessity of information security is expanding according to the development of information and communication technology, interest in information security investment is insufficient. In general, measuring the effect of information security investment is difficult, so appropriate investment is not being practice, and organizations are decreasing their information security investment. In addition, since the types and specification of information security measures are diverse, it is difficult to compare and evaluate the information security countermeasures objectively, and there is a lack of decision-making methods about information security investment. To develop the organization, policies and decisions related to information security are essential, and measuring the effect of information security investment is necessary. Therefore, this study proposes a method of constructing an investment portfolio for information security measures using game theory and derives an optimal defence probability. Using the two-person game model, the information security manager and the attacker are assumed to be the game players, and the information security countermeasures and information security threats are assumed as the strategy of the players, respectively. A zero-sum game that the sum of the players' payoffs is zero is assumed, and we derive a solution of a mixed strategy game in which a strategy is selected according to probability distribution among strategies. In the real world, there are various types of information security threats exist, so multiple information security measures should be considered to maintain the appropriate information security level of information systems. We assume that the defence ratio of the information security countermeasures is known, and we derive the optimal solution of the mixed strategy game using linear programming. The contributions of this study are as follows. First, we conduct analysis using real performance data of information security measures. Information security managers of organizations can use the methodology suggested in this study to make practical decisions when establishing investment portfolio for information security countermeasures. Second, the investment weight of information security countermeasures is derived. Since we derive the weight of each information security measure, not just whether or not information security measures have been invested, it is easy to construct an information security investment portfolio in a situation where investment decisions need to be made in consideration of a number of information security countermeasures. Finally, it is possible to find the optimal defence probability after constructing an investment portfolio of information security countermeasures. The information security managers of organizations can measure the specific investment effect by drawing out information security countermeasures that fit the organization's information security investment budget. Also, numerical examples are presented and computational results are analyzed. Based on the performance of various information security countermeasures: Firewall, IPS, and Antivirus, data related to information security measures are collected to construct a portfolio of information security countermeasures. The defence ratio of the information security countermeasures is created using a uniform distribution, and a coverage of performance is derived based on the report of each information security countermeasure. According to numerical examples that considered Firewall, IPS, and Antivirus as information security countermeasures, the investment weights of Firewall, IPS, and Antivirus are optimized to 60.74%, 39.26%, and 0%, respectively. The result shows that the defence probability of the organization is maximized to 83.87%. When the methodology and examples of this study are used in practice, information security managers can consider various types of information security measures, and the appropriate investment level of each measure can be reflected in the organization's budget.

A Study on the Roles and Ideological Development of Welfare Characteristics in Parks (공원복지 역할 및 이념 전개 양상에 관한 연구)

  • Han, So-Young;Cho, Han-Sol;Zoh, Kyung-Jin
    • Journal of the Korean Institute of Landscape Architecture
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    • v.43 no.1
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    • pp.69-81
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    • 2015
  • Under the premise that parks have been a performing field of welfare ideology that benefits the citizen from the past, the present study began with a basic question on what substance a park has and how it has worked. Therefore, this study tried to find out the theoretic background that can explain the roles of a park as an instrument for welfare, of which topic is currently being discussed, and examine how the ideology in the debate regarding welfare characteristics of parks are differentiated from those of social welfare. In addition, this study divided the process of development of parks defined by Galen Cranz in an attempt to view how welfare benefits offered by parks have changed in their development and looked into the roles and types of welfare functions that parks provided to the citizens under a certain social situation by period. Furthermore, the characteristics and development of the ideology underlying a welfare park were examined by function and element in its progression. The results of this study are as follows. The functions that parks have performed so far can be classified into three categories. First, they have a remedial function. Parks have given direct services to 'the socially disadvantaged' such as relief, fostering, and rehabilitation. Second, parks have played a preventive function. They aim to reinforce the functions of individual, family, group, and community. Third, they have exerted a developmental function. They function to promote change of society in a way for it to contribute to social development. Looking into the roles and functions of parks from the perspective of their beneficiary class and benefits, the following were discovered. First, the beneficiaries of welfare characteristics in parks have expanded to the general public from the poor class, and the benefits of parks have spread into the public including the underprivileged in a real sense. Second, the significance of welfare characteristics in parks has also changed from literal benefits to caring for basic human rights. Third, the purpose of welfare characteristics in parks has changed from providing minimal conditions to optimal conditions. At its beginning, the ideology of welfare in parks remained ideal, confining itself to their idealistic characteristics; but as time went on, they created several social benefits in response to various social demands, developing into a field where welfare ideology manifests and is realized in an active manner. Furthermore, it was witnessed that the parks and welfare of the present times are standing at the point of contact for participation and universal well-being. The present study reconsidered the meaning and value of parks from perspective of them as a provider of welfare benefits as well as examined how the welfare ideology of parks is connected to practice. By doing so, this study discovered the various roles, values, and ideology that parks should bear in the future. Therefore, this study is expected to be a good example for future research related to the topic.

Interpretation of Cultural Landscape Elements at the Management of Udam Chae Deug-gi's Gyeongcheondae(擎天臺) (우담 채득기의 경천대 경영에 나타난 문화경관 요소의 해석)

  • Lee, Yoo-Jin;Kim, Soo-Jin;Sim, Woo-Kyung
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.28 no.4
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    • pp.127-143
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    • 2010
  • This research was made on the interpretation of cultural landscape elements which is shown at nature management around Gyeongcheondae managed by Udam Chae Deug-gi, scholar in Joseon dynasty. Naming the nature management and natural features not only reflected on the formation toward the view of nature by the contemporary intellectuals, but influenced on the fashion of garden culture. Udam Chae Deug-gi dwelt in the riverside of Sangju, Kyungbuk as the characteristics of hermitage and managed landscape and had a willing to live a life free from worldly cares. The Gyeongchundae 28 landscapes, which was managed by himself, represent that natural features are named on the basis of neo-confucian principle and loyalty and he imposed symbolic meaning on landscape management by practically translating his aesthetic consciousness to reality; the name of detailed landscape is largely 'loyalty to Ming dynasty and to king's order and loyalty', 'Taoism' and 'Management will of landscape' by the life of metaphor and enjoyment, and symbolizes 'Searching for learning'. In addition, by selecting 10 out of 28 landscapes around Gyeongcheondae, lyrically describing the landscape by representing the change of time, season and the climate which is the scenic term of Great 8 Sosang views in fashion at that time focusing on the place he strolled or enjoyed watching himself; it can be seen that such moves are related with the landscape management in fashion in order to understand microcosmic providence with the change of natural environment. Therefore, Udam Chaedeug-gi is regarded as the neo-confucian view of nature for which any value scholars in Joseon dynasty have to own - 'loyalty' and 'integrity' - he usually emphasized himself to name the natural features and overcome the darkness of society comparing the landscape management around Gyeongchundae he lived a life free from worldly cares to the situation of Joseon dynasty when a transition times between Ming and Chung comes from China.

A Study of a Teaching Plan for Gifted Students in Elementary School Mathematics Classes (일반학급에서의 초등 수학 영재아 지도 방안 연구)

  • Kim, Myeong-Ja;Shin, Hang-Kyun
    • Journal of Elementary Mathematics Education in Korea
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    • v.13 no.2
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    • pp.163-192
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    • 2009
  • Currently, our country operates gifted education only as a special curriculum, which results in many problems, e.g., there are few beneficiaries of gifted education, considerable time and effort are required to gifted students, and gifted students' educational needs are ignored during the operation of regular curriculum. In order to solve these problems, the present study formulates the following research questions, finding it advisable to conduct gifted education in elementary regular classrooms within the scope of the regular curriculum. A. To devise a teaching plan for the gifted students on mathematics in the elementary school regular classroom. B. To develop a learning program for the gifted students in the elementary school regular classroom. C. To apply an in-depth learning program to gifted students in mathematics and analyze the effectiveness of the program. In order to answer these questions, a teaching plan was provided for the gifted students in mathematics using a differentiating instruction type. This type was developed by researching literature reviews. Primarily, those on characteristics of gifted students in mathematics and teaching-learning models for gifted education. In order to instruct the gifted students on mathematics in the regular classrooms, an in-depth learning program was developed. The gifted students were selected through teachers' recommendation and an advanced placement test. Furthermore, the effectiveness of the gifted education in mathematics and the possibility of the differentiating teaching type in the regular classrooms were determined. The analysis was applied through an in-depth learning program of selected gifted students in mathematics. To this end, an in-depth learning program developed in the present study was applied to 6 gifted students in mathematics in one first grade class of D Elementary School located in Nowon-gu, Seoul through a 10-period instruction. Thereafter, learning outputs, math diaries, teacher's checklist, interviews, video tape recordings the instruction were collected and analyzed. Based on instruction research and data analysis stated above, the following results were obtained. First, it was possible to implement the gifted education in mathematics using a differentiating instruction type in the regular classrooms, without incurring any significant difficulty to the teachers, the gifted students, and the non-gifted students. Specifically, this instruction was effective for the gifted students in mathematics. Since the gifted students have self-directed learning capability, the teacher can teach lessons to the gifted students individually or in a group, while teaching lessons to the non-gifted students. The teacher can take time to check the learning state of the gifted students and advise them, while the non-gifted students are solving their problems. Second, an in-depth learning program connected with the regular curriculum, was developed for the gifted students, and greatly effective to their development of mathematical thinking skills and creativity. The in-depth learning program held the interest of the gifted students and stimulated their mathematical thinking. It led to the creative learning results, and positively changed their attitude toward mathematics. Third, the gifted students with the most favorable results who took both teacher's recommendation and advanced placement test were more self-directed capable and task committed. They also showed favorable results of the in-depth learning program. Based on the foregoing study results, the conclusions are as follows: First, gifted education using a differentiating instruction type can be conducted for gifted students on mathematics in the elementary regular classrooms. This type of instruction conforms to the characteristics of the gifted students in mathematics and is greatly effective. Since the gifted students in mathematics have self-directed learning capabilities and task-commitment, their mathematical thinking skills and creativity were enhanced during individual exploration and learning through an in-depth learning program in a differentiating instruction. Second, when a differentiating instruction type is implemented, beneficiaries of gifted education will be enhanced. Gifted students and their parents' satisfaction with what their children are learning at school will increase. Teachers will have a better understanding of gifted education. Third, an in-depth learning program for gifted students on mathematics in the regular classrooms, should conform with an instructing and learning model for gifted education. This program should include various and creative contents by deepening the regular curriculum. Fourth, if an in-depth learning program is applied to the gifted students on mathematics in the regular classrooms, it can enhance their gifted abilities, change their attitude toward mathematics positively, and increase their creativity.

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A study on bio-design (바이오 디자인에 관한 고찰)

  • 이재국
    • Archives of design research
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    • no.16
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    • pp.41-51
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    • 1996
  • A matter of primary concern about all design is concentrated on how to create more valuable things to allow people to live an affluent life. However, it is very difficult to achieve the goal because every design work is changed in accordance with given situatio ns. In this sense, it is significant to study on biodesign because it can be both a basic principle and a fudamantal index to show the way of new design direction. Accordingly, the main purpose of the thesis is to catch every meaning of bio-design and to close analyze its factors in order to generate more fresh ideas and put them into practice. The thesis is composed of five Chapters: Introduction, Background of bio-design, Principle of bio-design, Practice of bio-design, and Conclusion. In Introduction, the purpose and background of the study are presented. I n Chapter 2, source of design orgin, vernacular design, and design for life are researched. In Chapter 3, organic order. the survial of the fittest, and subjective & objective are considered. In Chapter 4, hi-tech & hi-touch, criteria of problem -solving, and harmony with nature are searched. In Conclusion, some suggestive words on the study are mentioned.

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Herbicidal Activity of Wood Vinegar from Quercus mongolica Fisch (신갈나무 (Quercus mongolica Fisch) 목초액의 제초활성)

  • Kim, Song-Mun;Kim, Yong-Ho;Kim, Jin-Seog;Ahn, Mun-Sub;Heo, Su-Jeong;Hur, Jang-Hyun;Han, Dae-Sung
    • The Korean Journal of Pesticide Science
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    • v.4 no.3
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    • pp.82-88
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    • 2000
  • The objective of this study was to determine if wood vinegar of Quercus mongolica Fisch has herbicidal activity. Growth of plants, such as barnyard grass (Echinochloa crus-gulli P. Beauv), quackgrass (Agropyron smithii RYDB), canola (Brassica napus L.), velvetleaf (Abutilon avicennae), indian jointvetch (Aeschynomene indica), and common sorghum (Sorghum bicolor) grown on agar batch treated with 0.01% wood vinegar were similar to that of plant without wood vinegar. The growth of such plants, however, reduced at $0.1{\sim}1%$ concentrations, and inhibited totally at >5% concentration. In greenhouse study, soil-applied wood vinegar did not inhibit tile growth of canola, barnyard grass, large crabgrass, and Abutilon avicennae even at the highest concentration, 80L $80L^{-1}\;10a^{-1}$, while foliar-applied wood vinegar did inhibit the growth of plants at higher than 40L $80L^{-1}\;10a^{-1}$. Growth of canola, barnyard grass, large crabgrass, and Abutilon avicennae treated with wood vinegar (80L $80L^{-1}\;10a^{-1}$) was reduced by 71, 46, 24, and 47%, respectively. In field experiment conducted at Chunchon and Taebeck, biomass of weeds treated with wood vinegar at less than 40L $80L^{-1}\;10a^{-1}$ were close to that of weeds treated without wood vinegar, while biomass of weeds at 80L $80L^{-1}\;10a^{-1}$ was reduced by 34-36%, compared to that of control, at both sites. However, the herbicidal activity of wood vinegar was much lower than that of glyphosate. Results in this study show that wood vinegar of Quercus mongolica Fisch has herbicidal activity, although the herbicidal activity was lower than that of glyphosate, a commercial herbicide.

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Analysis of the Correlation between Human Sensibility and Physical Property of luminous Sources -Focused on Response according to Character of Color Temperature by luminous Sources- (건축조명광원의 광학적 특성에 따른 인간의 감성반응 분석 -조명광원별 색온도 특성에 따른 반응을 중심으로-)

  • Lee, Jin-Sook;Oh, Do-Suk
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.5
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    • pp.9-16
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    • 2005
  • The purpose of this research is to acquire emotional data on luminous source by measuring and evaluating human emotional response to the change of the optical feature of luminous environment Luminous sources used in actual architectural space were selected with the optical feature of luminous soured then to measure and analysis human emotional response on Luminous Source. As a result of that 1) In the result of performance measurement by the item of the clear vision of an optic function the fluorescent lamp of daylight indicated the most excellent Performance. 2) In the item of fatigue and stress, the metal halide lamp and mercury lamp showed the most 3) In $\ulcorner$ suitable in light$\lrcorner$, $\ulcorner$a similar with daylight$\lrcorner$ adjective of the amenity item the fluorescent lamp of daylight which color temperature was high turned up to be high also, in $\ulcorner$brilliant$\lrcorner$, adjective, the metal halide lamp and mercury lamp turned up to be low. 4) In the result of factor analysis, three factors $\ulcorner$activity$\lrcorner$, $\ulcorner$potency$\lrcorner$, $\ulcorner$evaluation$\lrcorner$ were abstracted and $\ulcorner$activity$\lrcorner$ factor has the most influential on evaluating the mood of interior space. 5) For the affection in the mood evaluation by each luminous sources, $\ulcorner$activity$\lrcorner$ factor was the most influential by metal halide lamp and fluorescent lamp of daylight, $\ulcorner$potency$\lrcorner$ factor was most influential by kind of incandescent lamp, $\ulcorner$evaluation$\lrcorner$ factor was most influential by fluorescent lamp of low color temperature.

The Intelligent Determination Model of Audience Emotion for Implementing Personalized Exhibition (개인화 전시 서비스 구현을 위한 지능형 관객 감정 판단 모형)

  • Jung, Min-Kyu;Kim, Jae-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.18 no.1
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    • pp.39-57
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    • 2012
  • Recently, due to the introduction of high-tech equipment in interactive exhibits, many people's attention has been concentrated on Interactive exhibits that can double the exhibition effect through the interaction with the audience. In addition, it is also possible to measure a variety of audience reaction in the interactive exhibition. Among various audience reactions, this research uses the change of the facial features that can be collected in an interactive exhibition space. This research develops an artificial neural network-based prediction model to predict the response of the audience by measuring the change of the facial features when the audience is given stimulation from the non-excited state. To present the emotion state of the audience, this research uses a Valence-Arousal model. So, this research suggests an overall framework composed of the following six steps. The first step is a step of collecting data for modeling. The data was collected from people participated in the 2012 Seoul DMC Culture Open, and the collected data was used for the experiments. The second step extracts 64 facial features from the collected data and compensates the facial feature values. The third step generates independent and dependent variables of an artificial neural network model. The fourth step extracts the independent variable that affects the dependent variable using the statistical technique. The fifth step builds an artificial neural network model and performs a learning process using train set and test set. Finally the last sixth step is to validate the prediction performance of artificial neural network model using the validation data set. The proposed model is compared with statistical predictive model to see whether it had better performance or not. As a result, although the data set in this experiment had much noise, the proposed model showed better results when the model was compared with multiple regression analysis model. If the prediction model of audience reaction was used in the real exhibition, it will be able to provide countermeasures and services appropriate to the audience's reaction viewing the exhibits. Specifically, if the arousal of audience about Exhibits is low, Action to increase arousal of the audience will be taken. For instance, we recommend the audience another preferred contents or using a light or sound to focus on these exhibits. In other words, when planning future exhibitions, planning the exhibition to satisfy various audience preferences would be possible. And it is expected to foster a personalized environment to concentrate on the exhibits. But, the proposed model in this research still shows the low prediction accuracy. The cause is in some parts as follows : First, the data covers diverse visitors of real exhibitions, so it was difficult to control the optimized experimental environment. So, the collected data has much noise, and it would results a lower accuracy. In further research, the data collection will be conducted in a more optimized experimental environment. The further research to increase the accuracy of the predictions of the model will be conducted. Second, using changes of facial expression only is thought to be not enough to extract audience emotions. If facial expression is combined with other responses, such as the sound, audience behavior, it would result a better result.

The Statistical Approach-based Intelligent Education Support System (통계적 접근법을 기초로 하는 지능형 교육 지원 시스템)

  • Chung, Jun-Hee
    • Journal of Intelligence and Information Systems
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    • v.18 no.1
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    • pp.109-123
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    • 2012
  • Many kinds of the education systems are provided to students. Many kinds of the contents like School subjects, license, job training education and so on are provided through many kinds of the media like text, image, video and so on. Students will apply the knowledge they learnt and will use it when they learn other things. In the existing education system, there have been many situations that the education system isn't really helpful to the students because too hard contents are transferred to them or because too easy contents are transferred to them and they learn the contents they already know again. To solve this phenomenon, a method that transfers the most proper lecture contents to the students is suggested in the thesis. Because the difficulty is relative, the contents A can be easier than the contents B to a group of the students and the contents B can be easier than the contents A to another group of the students. Therefore, it is not easy to measure the difficulty of the lecture contents. A method considering this phenomenon to transfer the proper lecture contents is suggested in the thesis. The whole lecture contents are divided into many lecture modules. The students solve the pattern recognition questions, a kind of the prior test questions, before studying the lecture contents and the system selects and provides the most proper lecture module among many lecture modules to the students according to the score about the questions. When the system selects the lecture module and transfer it to the student, the students' answer and the difficulty of the lecture modules are considered. In the existing education system, 1 kind of the content is transferred to various students. If the same lecture contents is transferred to various students, the contents will not be transferred efficiently. The system selects the proper contents using the students' pattern recognition answers. The pattern recognition question is a kind of the prior test question that is developed on the basis of the lecture module and used to recognize whether the student knows the contents of the lecture module. Because the difficulty of the lecture module reflects the all scores of the students' answers, whenever a student submits the answer, the difficulty is changed. The suggested system measures the relative knowledge of the students using the answers and designates the difficulty. The improvement of the suggested method is only applied when the order of the lecture contents has nothing to do with the progress of the lecture. If the contents of the unit 1 should be studied before studying the contents of the unit 2, the suggested method is not applied. The suggested method is introduced on the basis of the subject "English grammar", subjects that the order is not important, in the thesis. If the suggested method is applied properly to the education environment, the students who don't know enough basic knowledge will learn the basic contents well and prepare the basis to learn the harder lecture contents. The students who already know the lecture contents will not study those again and save more time to learn more various lecture contents. Many improvement effects like these and so on will be provided to the education environment. If the suggested method that is introduced on the basis of the subject "English grammar" is applied to the various education systems like primary education, secondary education, job education and so on, more improvement effects will be provided. The direction to realize these things is suggested in the thesis. The suggested method is realized with the MySQL database and Java, JSP program. It will be very good if the suggested method is researched developmentally and become helpful to the development of the Korea education.

Development of User Based Recommender System using Social Network for u-Healthcare (사회 네트워크를 이용한 사용자 기반 유헬스케어 서비스 추천 시스템 개발)

  • Kim, Hyea-Kyeong;Choi, Il-Young;Ha, Ki-Mok;Kim, Jae-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.181-199
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    • 2010
  • As rapid progress of population aging and strong interest in health, the demand for new healthcare service is increasing. Until now healthcare service has provided post treatment by face-to-face manner. But according to related researches, proactive treatment is resulted to be more effective for preventing diseases. Particularly, the existing healthcare services have limitations in preventing and managing metabolic syndrome such a lifestyle disease, because the cause of metabolic syndrome is related to life habit. As the advent of ubiquitous technology, patients with the metabolic syndrome can improve life habit such as poor eating habits and physical inactivity without the constraints of time and space through u-healthcare service. Therefore, lots of researches for u-healthcare service focus on providing the personalized healthcare service for preventing and managing metabolic syndrome. For example, Kim et al.(2010) have proposed a healthcare model for providing the customized calories and rates of nutrition factors by analyzing the user's preference in foods. Lee et al.(2010) have suggested the customized diet recommendation service considering the basic information, vital signs, family history of diseases and food preferences to prevent and manage coronary heart disease. And, Kim and Han(2004) have demonstrated that the web-based nutrition counseling has effects on food intake and lipids of patients with hyperlipidemia. However, the existing researches for u-healthcare service focus on providing the predefined one-way u-healthcare service. Thus, users have a tendency to easily lose interest in improving life habit. To solve such a problem of u-healthcare service, this research suggests a u-healthcare recommender system which is based on collaborative filtering principle and social network. This research follows the principle of collaborative filtering, but preserves local networks (consisting of small group of similar neighbors) for target users to recommend context aware healthcare services. Our research is consisted of the following five steps. In the first step, user profile is created using the usage history data for improvement in life habit. And then, a set of users known as neighbors is formed by the degree of similarity between the users, which is calculated by Pearson correlation coefficient. In the second step, the target user obtains service information from his/her neighbors. In the third step, recommendation list of top-N service is generated for the target user. Making the list, we use the multi-filtering based on user's psychological context information and body mass index (BMI) information for the detailed recommendation. In the fourth step, the personal information, which is the history of the usage service, is updated when the target user uses the recommended service. In the final step, a social network is reformed to continually provide qualified recommendation. For example, the neighbors may be excluded from the social network if the target user doesn't like the recommendation list received from them. That is, this step updates each user's neighbors locally, so maintains the updated local neighbors always to give context aware recommendation in real time. The characteristics of our research as follows. First, we develop the u-healthcare recommender system for improving life habit such as poor eating habits and physical inactivity. Second, the proposed recommender system uses autonomous collaboration, which enables users to prevent dropping and not to lose user's interest in improving life habit. Third, the reformation of the social network is automated to maintain the quality of recommendation. Finally, this research has implemented a mobile prototype system using JAVA and Microsoft Access2007 to recommend the prescribed foods and exercises for chronic disease prevention, which are provided by A university medical center. This research intends to prevent diseases such as chronic illnesses and to improve user's lifestyle through providing context aware and personalized food and exercise services with the help of similar users'experience and knowledge. We expect that the user of this system can improve their life habit with the help of handheld mobile smart phone, because it uses autonomous collaboration to arouse interest in healthcare.