• Journal of Korean Society of Forest Science
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• v.105 no.3
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• pp.360-365
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• 2016

The purpose of this study is to provide the basic information for the early enforcement and extension of the improvement project of management scale of private forest land by understanding the characteristics of forest owners, who have an influence on the participation of the project as one of the private forest management vitalization plans. To achieve this goal, a questionnaire survey targeting 373 forest owners was conducted and analyzed by Binary-Logistic Regression. The variables for binary-logistic regression included gender, age, academic ability, occupation, income, residence, purpose of forest ownership, and status of cooperative membership. As a result of the analysis, 267 forest owners (71.6%) of total 373 forest owners have the intention to participate in the scaling project for private forest management. The rest of forest owners (106 forest owners, 28.4%) would not be willing to participate in the project. As a result of binary-logistic regression, the most important variables, which have an impact on the participation of private forest management scale improvement project, are age, job and forest own purpose.

• International Journal of Automotive Technology
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• v.4 no.4
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• pp.181-191
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• 2003

Since the nonlinearity and uncertainties which inherently exist in vehicle system need to be considered in active suspension control law design, this paper proposes a new control strategy for active vehicle suspension systems by using a combined control scheme, i.e., respectively using a genetic algorithm (GA) based self-tuning PID controller and a fuzzy logic controller in two loops. In the control scheme, the PID controller is used to minimize vehicle body vertical acceleration, the fuzzy logic controller is to minimize pitch acceleration and meanwhile to attenuate vehicle body vertical acceleration further by tuning weighting factors. In order to improve the adaptability to the changes of plant parameters, based on the defined objectives, a genetic algorithm is introduced to tune the parameters of PID controller, the scaling factors, the gain values and the membership functions of fuzzy logic controller on-line. Taking a four degree-of-freedom nonlinear vehicle model as example, the proposed control scheme is applied and the simulations are carried out in different road disturbance input conditions. Simulation results show that the present control scheme is very effective in reducing peak values of vehicle body accelerations, especially within the most sensitive frequency range of human response, and in attenuating the excessive dynamic tire load to enhance road holding performance. The stability and adaptability are also showed even when the system is subject to severe road conditions, such as a pothole, an obstacle or a step input. Compared with conventional passive suspensions and the active vehicle suspension systems by using, e.g., linear fuzzy logic control, the combined PID and fuzzy control without parameters self-tuning, the new proposed control system with GA-based self-learning ability can improve vehicle ride comfort performance significantly and offer better system robustness.

• Journal of Agricultural Extension & Community Development
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• v.15 no.3
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• pp.499-531
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• 2008

Rural Traditional Theme Villages are one of the village-based businesses, which obtains excellent results. However, it also has brought negative results such as splits in locals due to income disparity, and ill-advised development which does not consider surrounding potential resources, etc. So, this study analyzes several problems of Rural Traditional Theme Villages, and proposes how Rural Traditional Theme Villages can be revitalized by benchmarking other successful cases. First, it is important to pursue differentiation of operating programs for Rural Traditional Theme Villages. Second, it is possible to give weight to elements which show efficiently rural atmosphere to enhance images of Rural Traditional Theme Villages. Third, expanding budget support and securing a new route for budget are definitely needed to cultivate self-growth capability of villages. Fourth, it is necessary to apply experts and facilities of local-based universities, cooperate with relevant organizations, and nurture local leaders by various means such as study in/visits to advanced regions at home and abroad and experts training. Localgovernment should be in charge of nurturing talented people. Fifth, it is necessary to reinvigorate rural economy by networking each Rural Traditional Theme Village, providing a wide range of information on diversified villages to people in cities, and promoting consumption. Moreover, securing immovable customers is important through networking city-rural exchange with city consumers and other organizations, and sisterhood relationship, membership businesses and events. As mentioned above, it is expected that Rural Traditional Theme Villages will be able to be developed continuously as a model for rural revitalization, which is stagnant, by expanding city-rural interchange.

• The Korean Journal of Food And Nutrition
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• v.13 no.4
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• pp.353-359
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• 2000

This study was carried out to introduce the fuzzy theory to standardize recipe of Korean foods, such as Pibimbab, Deonjang chigae (soybean stew), and Kimchi chigae (Kimchi stew). That is recipe of Pibimbab using fuzzy theory. Before this recipe was introduced, it thoroughly analyzed a number of data on Korean food such as materials used by cook book, commercial food, restaurants, food service operation recipes, and home recipes. And then the recipe of Korean food, Pibimbab will be possible to be standardized by fuzzy theory. The theory of fuzzy set is a theory of graded concept. The theory has matured into a wide ranging collection of concepts and techniques for dealing with complex phenomena. It defined a Membership function of fuzzy set by analyzed four sorts of data on Korean food, Pibimbab, and it established the fuzzy model using the quantity of materials as input and sensory test scores as output. This study will contribute to develop standard recipe for Korean foods and expert system of recipes using computer system.

• Journal of Korean Library and Information Science Society
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• v.51 no.2
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• pp.133-157
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• 2020

The study aims to prove the raison d'etre of public libraries in urban regeneration paradigm. Life SOC Plan is one of South Korea's urban regeneration policies. Public libraries are considered important in life SOC Plan because public libraries are "Social Anchors". Social Anchor is space-time-bounded place that accelerates diverse people's interactions. Social Anchor makes collective identity that supports production of social capital. Public libraries are institutions producing social capital but have weak collective identity because their missions(open, sharing, equality of information) don't allow boundaries and membership. The study conducted literature reviews and case studies to confirm how collective identity of public libraries strengthens. As a result, the study confirmed that renovating under-used space based on urban regeneration paradigm makes place identity of the under-used space to collective identity of public libraries. Thus, constructing public libraries by renovating under-used space is Social Anchor formation model based on urban regeneration paradigm.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.673-691
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• 2017

This study was to examine the causal relationships among extraneous variables, social participation, and life satisfaction among the elderly persons. This study analyzed 4014 elderly persons out of 2010 KLoSA. The path analysis and mediating effects were examined by AMOS. Except educational level, family income, health status, functional capacities, K-MMSE, and CES-D10 were direct effects on the life satisfaction among the elderly persons. The mediating effects of causal meeting activities, leisure activities, and membership based activities were significant on life satisfaction. This study proposed implications of improving life satisfaction for the elderly through utilizing of social participation activities.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.167-175
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• 2007

Fuzzy logic is used to represent qualitative knowledge and provides interpretability to a controlling system model in bioinformatics. This paper focuses on a bioinformatics data classification which is an important bioinformatics application. This paper reviews the two traditional controlling system models The sequence-based threshold controller have problems of optimal range decision for threshold readjustment and long processing time for optimal threshold induction. And the binary-based threshold controller does not guarantee for early system stability in the GPCR data classification for optimal threshold induction. To solve these problems, we proposes a fuzzy-based threshold controller for ART1 clustering in GPCR classification. We implement the proposed method and measure processing time by changing an induction recognition success rate and a classification threshold value. And, we compares the proposed method with the sequence-based threshold controller and the binary-based threshold controller The fuzzy-based threshold controller continuously readjusts threshold values with membership function of the previous recognition success rate. The fuzzy-based threshold controller keeps system stability and improves classification system efficiency in GPCR classification.

• Korean Journal of Social Welfare
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• v.66 no.3
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• pp.5-28
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• 2014

School absenteeism, one of the early warning signs of behavioral problems, has been known to be a complex and heterogeneous problem. However, much of the research assumes that school absentee adolescents comprise a homogeneous group. This study explored the heterogeneity of school absentee adolescents, based on school adaptation, to provide a more nuanced understanding of school absenteeism and examined predictive and risk factors associated with each typology of school absentee adolescents. Latent profile analysis was conducted using sample 477 middle school students who were reported absent in the previous year from the 3rd wave of Korean Children and Youth Panel Study. Multinomial logistic regression and ANOVA was also employed to examine the effects of predictive variables. As a result, three profiles were identified: low, middle, and high adaptive group. Group membership was found to be associated deferentially with gender, mental health, parenting neglect, delinquent friends, and delinquent behaviors. These findings propose more specific and targeted interventions designed to meet the needs and risk factors associated with the different typologies of school absentee adolescents.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.4
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• pp.402-410
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• 2004

In this paper, an optimal design method of clonal selection based Fuzzy-Neural Networks (FNN) model for complex and nonlinear systems is presented. The FNNs use the simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. Also Advanced Clonal Selection (ACS) is proposed to find the parameters such as parameters of membership functions, learning rates and momentum coefficients. The proposed method is based on an Immune Algorithm (IA) using biological Immune System and The performance is improved by control of differentiation rate. Through that procedure, the antibodies are producted variously and the parameter of FNN are optimized by selecting method of antibody with the best affinity against antigens such as object function and limitation condition. To evaluate the performance of the proposed method, we use the time series data for gas furnace and traffic route choice process.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.29 no.1
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• pp.77-83
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• 2005

In collision avoidance problem of a ship, collision risk model is usually set up using the interview results fron experts who sit on a simulator by varying parameters, in which DCPA and TCPA are commonly used. This method, however, has the weakness in that not only it is expensive but also it shows different results depending on the inerviewees and other navigational parameters. In this study, a fuzzy inference system is designed based on own ship's maneuverability verified fron simulation instead of interviewing navigators. The time and distance corresponding to the collision risk value on which avoidance maneuver should be started are set to the minimum marginal time at which own ship starts maneuvering and the minimum marginal distance suggested by marine traffic rules respectively. This system can be recorfigured as a nonlinearity-strengthened one by increasing the number of fuzzy membership functions.