This paper is a theoretical attempt to analyze and understand Yeonjulmang and Yeongyeolmang, which are terms for social networks with negative and positive connotation respectively in Korean Sociology. To do that, we analyze a social network where unilateral help are reciprocated. A social network in this context is a network where the past behaviors of its members are transmitted. With the information how the members behaved before, a social norm can emerge in the network, which facilitate the indirect reciprocation of unilateral help. In this norm, an agent's helping now will be rewarded by his being helped in the future. Since the reward happens in the future, this norm may not be sustained even if it is efficient. To sustain the reciprocation of the help, a norm can evolve to punish the violation of the norm more severely. If the punishment becomes too severe, the reciprocation of the help can be sustained even if it is not efficient any more in that the cost of help exceeds the benefit. If we allow the exit of the network, members have incentive to do it as belonging to the network is not beneficial any more. Then the social network may collapse. To avoid the collapse of the network, the exclusive norm, which exclude even mutually beneficial relationship with outsiders, may emerge. This can explain the emergence of Yeonjulmang, or a closed network, which is inefficient in double senses; 1) it may sustain inefficient reciprocation of help, and 2) the mutually beneficial relationship is excluded between an insider and an outsider of the network.
Journal of the Korean Institute of Landscape Architecture
/
v.38
no.5
/
pp.31-41
/
2010
This research aims to present a methodological approach for repurposing small pockets of national/public lands, which can be constructed as parks, through an investigation of the present status of these areas of national/public lands that are scattered around Busan Megalopolis as well as the suitability of their construction. In order to attain this, this study looked at the present status of these small areas of national/public lands by utilizing a national land, city land list (lot number), land registration map and satellite image of Busan Megalopolis, and evaluating their suitability as parks through GIS analysis and classification. As a result, these small areas of lands with the potential to be turned into parks include 516 spots($375,934m^2$). Geographically, 39% of these areas are located on flat land and are the most scattered. 260 places met the requirements for optimal placement for conversion, while convenience included 305 places, and availability 267 places. The most optimal of the places meeting such standards include 61 spots. The characteristics of these areas of national/public lands include being below $500m^2$, with flatlands and open areas above a 5' grade occupy the highest ratio, accounting for 25.4% of the land studied. These results have offered a methodology for a GIS DB, which can visualize the data for a positive utilization be yond the simple level of the maintenance/preservation of national/public lands and provide basic data for the utilization and management of these types of areas in the future.
Ant Colony System(ACS) Algorithm is new meta-heuristic for hard combinational optimization problem. It is a population-based approach that uses exploitation of positive feedback as well as greedy search. Recently, various methods and solutions are proposed to solve optimal solution of graph coloring problem that assign to color for adjacency node($v_i, v_j$) that they has not same color. In this paper introducing ANTCOL Algorithm that is method to solve solution by Ant Colony System algorithm that is not method that it is known well as solution of existent graph coloring problem. After introducing ACS algorithm and Assignment Type Problem, show the wav how to apply ACS to solve ATP And compare graph coloring result and execution time when use existent generating functions(ANT_Random, ANT_LF, ANT_SL, ANT_DSATUR, ANT_RLF method) with ANT_XRLF method that use XRLF that apply Randomize to RLF to solve ANTCOL. Also compare graph coloring result and execution time when use method to add re-search to ANT_XRLF(ANT_XRLF_R) with existent generating functions.
Objectives : The purpose of this study was to determine correlation between coping strategies to disease and quality of life in chrome viral B hepatitis patients ; to investigate difference of coping strategies to disease and quality in life between chronic viral B hepatitis patients and normal persons ; and to identify major variables related to quality in life of chronic viral B hepatitis patients. Methods: The authors used Weisman coping strategy scale for measuring coping ability and efficacies, and the questionnaire for measuring quality of life including physical, psychological, social and economical aspects and satisfaction of sexual life was made by authors based on related literatures. Data were collected through questionnaire survey over a period from Sep 15, 1994 to Nov 11, 1994. Subjects served for this study consisted of 94 chronic viral B hepatitis patients visited to department of internal medicine at one general hospital and 100 normal persons visited to one general hospital for routine check up of health. The collected data were analyzed by SAS and the statistical methods for analysis were Chisquare, t-test and multiple regression analysis. Results : 1) It was revealed that coping strategies to disease significantly correlated to individual's quality of life. 2) There was no significant difference in coping strategies to disease between chronic viral B hepatitis patients and normal persons. However, chronic viral B hepatitis patients showed the lower scroes of quality of life in physical, psychological and economical aspects. 3) The most important variables which were influenced upon quality of life were coping strategies to disease and satisfaction of sexual life. That is, the more active coping strategies to diseases and the higher satisfaction of sexual life, consequently the higher quality of life was. Especially male patient group or normal persons showed each other the higher scores of quality of life in physical and psychological area than female group or patient group. 4) No statistically significant difference in coping strategies to disease and quality of life was found between HBeAg positive group and HBeAg negative group. Conclusions : The authors suggest that chronic viral B hepatitis patients may show the lower score of quality of life than normal person. Therefore, quality of life assessment should become an integral part of all clinical area that seek to assess the effectiveness of treatment. Also, through the interdisciplinary approach, a comprehensive paradigm that can better account for the effects of chronic disease on the individual' s quality of life should be developed.
The purpose of this study was to investigate the impact of multiple representations on students' understanding of fractions, decimals, and percent. The instructional approach integrating multiple representations was compared to traditional algorithmic instruction, a form of direct instruction. To examine and compare the impact of multiple representations instruction with traditional algorithmic instruction, pre and post tests consisting of five similar items were administered with 87 middle school students. Students' scores in these two tests and their problem solving processes were analyzed quantitatively and qualitatively. The quantitative results indicated that students taught by traditional algorithmic instruction showed higher scores on the post-test than students in the multiple representations group. Furthermore, findings suggest that instruction using multiple representations does not guarantee a positive impact on students' understanding of mathematical concepts. Qualitative results suggest that the limited use of multiple representations during a class may have hindered students from applying their use in novel problem situations. Therefore, when using multiple representations, teachers should employ more diverse examples and practice with multiple representations to help students to use them without error.
According to the survey done among the 20s of university students in Oct. 2002, the female animation characters from Korea and Japan have almost no distinction. Speaking of the features of the characters, they have big eyes, a long nose, an oval face. However, their eyes and mouths are expressed exaggeratedly, which makes them hard to get a good impression from the people. It seems that the identity of Korean female animation characters is disappearing in terms of the copycat from western animation characters. Through the research, the features of 20s of Korean and Japanese girls are compared and they were reviewed from the ideal and biological point of view. Then, the animation characters, which physiognomy has been applied, are created based on result, which I am trying to find the standard model of Korea female animation character. As an ideal point of view, it turns out that Korean has a positive reaction on the female animation characters with the cute & introspective characteristics. On the contrary, Korean has a negative reactions on the ones that were created in a biological viewpoint and has a highly sensitive and discontented characteristics. This shows that Korean do not prefer the female animation characters with highly sensitive and discontented characters. According to the survey, 73.5% of people could find the same 7 kinds of female characters which are shown frequently in the animation. This means that the oriental physiognomy is an effective way to approach to the features of the character's face depending on the characteristics of each female characters. The characters in this study are based on real face of female, but we can create the various animation characters if we apply the partial feature of distinctive each personal face.
The biggest paradigm of the latest telecommunications is ubiquitous computing. It is a technology basis to realize ubiquitous society that would affect social, economical and cultural industries with positive influence. However, there is a simultaneous concern that the approach to ubiquitous society may violate one's privacy. Therefore, the existence of legal and technological regulation would be the biggest obstacle in further RFID technology and industry dissemination. Also, in business side, they must invest with enormous expense and technology if technological method is only approached for the solution. As in the research, 8 RFID applications, application process and inspection items and 85 appraisal list of "An impact assessment for the privacy protection in RFID applications" developed by P. K. Han(2006), will be used as an indicator to measure RFID privacy impact assessment. In addition, it is to develop RFID privacy impact assessment index by applying objective data with survey of applied specialists. This would provide a data with feasibility and reliability to RFID related companies and able to utilize policy making on RFID private data. In addition, it is expected to contribute as an efficiency tool for individual data to build basis of ubiquitous society.
Attempts were made to analyze the national policy of soil contamination prevention and management of inactive or abandoned metal (IAM) mines in Korea. This approach focused on legal systems and legislation, remediation technology development, and the arrangement or distribution of budgets pertaining to national policy since the mid 1990's. Prevention of Mining Damage and Recovery Act enacted. Defines the roles, responsibility and budget of the government when recovering mine damages. However, in 2005 there still remains to improve the national policy of soil contamination prevention and management of IAM mines. Analysis of national and industrialized foreign countries including the United States, the United Kingdom, and the Netherlands suggest the following improvements: i) arranging distinct regulations between strict and non-strict liability criteria for potentially responsible parties; limiting innocent and non-strict liability depending on the period of incurred mining activity, ii) enhancing participation of local communities by enforcing law and legislation, iii) establishing a national database system of (potentially) IAM contaminated sites based on the Website-Geographic Information System, iv) carrying out site-specific risk assessments and remediation of IAM contaminated sites, v) preparation and distribution of clean-up fund at mine sites adequately, and vi) technology development for the cleaning of IAM contaminated sites; awarding positive incentives of a legal nature for participants applying newly developed technology in IAM mines.
Recently Korea is expected with the decrease of population in working ages and also population structure, especially age structure, has changed as aging goes faster. This study focuses on the relationship between age structure and wage structure to analyzes the cohort size effect on the change of age-earnings profile. Our empirical analysis based on Wright(1991)'s model takes weighted OLS regression using the male worker's data of Ministry of Labor 'Wage Structure Survey'($1990{\sim}2006$). In pooled data, we take the conclusion that the cohort size effect was found in high school and college graduate workers, but the effect is different between them. The labor market entry effect of high school graduate workers is negative(-) and his persistent effect is positive(+). On the other hand, the cohort size effect of college graduate workers have appeared the opposite directions in contrary with the existing results of Welch(1979) and Wright(1991). This results are seen as the possibility that college graduate worker has the benefit of wage level by his relative cohort size in spite of high unemployment of young graduate. It will be the sign of need that we should interest in the change of age structure with balancing the labor supply side approach and the demand side study which the previous studies was mainly tended to focus on.
The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.
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