• Journal of Agricultural Extension & Community Development
• /
• v.21 no.1
• /
• pp.1-34
• /
• 2014

In urban as well as rural areas, there is a vigorous movement to establish cooperatives which are based on the Framework Act On Cooperatives. Eight months after the enforcement of the law, more than 600 cooperatives reported their articles of association to the competent Mayor/Governor in rural areas. Considering the population distribution in urban and rural areas, this is not a small number. Though recently established rural cooperatives are acting throughout diverse business sectors, cooperatives in agricultural sector, which engage in agricultural production, processing and sales, occupy the largest portion of all the rural cooperatives. There are two types of juridical person that are allowed to engage in the agricultural production, processing and sales by the laws. They are Farm Association and Agricultural Business Corporation. Now in rural Korea, farmers tend to establish cooperatives by the Framwork Act On Cooperatives which are in the same business sector with Farm Association or Agricultural Business Corporation. There are many needs to improve legislation regarding cooperatives. Above all, the laws about Farm Association and Agricultural Business Corporation are in urgent need of improvement for the emerging rural cooperatives to be treated fairly.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.12 no.1
• /
• pp.7-13
• /
• 2002

Almost applications using fuzzy theory are based on the fuzzy inference. However fuzzy inference needs much time in calculation process for the fuzzy system with many input variables or many fuzzy labels defined on each variable. Inference time is dependent on the number of arithmetic Product in computation Process. Especially, the inference time is a primary constraint to fuzzy control applications using microprocessor or PC-based controller. In this paper, a simple fast fuzzy inference algorithm(FFIA), without loss of information, was proposed to reduce the inference time based on the fuzzy system with triangular membership functions in antecedent part of fuzzy rule. The proposed algorithm was induced by using partition of input state space and simple geometrical analysis. By using this scheme, we can take the same effect of the fuzzy rule reduction.

• Journal of Intelligence and Information Systems
• /
• v.12 no.2
• /
• pp.167-183
• /
• 2006

Since data mining attempts to find unknown facts or rules by dealing with also vaguely-known data sets, it always suffers from high error rate. In order to reduce the error rate, many researchers have employed multiple models in solving a problem. In this research, we present a new type of multiple models, called DyMoS, whose unique feature is that it classifies the input data and applies the different model developed appropriately for each class of data. In order to evaluate the performance of DyMoS, we applied it to a real customer churn problem of an automobile insurance company, The result shows that the DyMoS outperformed any model which employed only one data mining technique such as artificial neural network, decision tree and case-based reasoning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.563-566
• /
• 2017

In order to prevent livestock diseases and produce the high quality livestock products in the livestock industry, it is necessary to manage the conditions of the livestock farms in the optimal condition. Therefore, these days the research on livestock growth models that analyze the factors of the air environment, the breeding environment, and the numerical rules of livestock in vivo is being carried out to improve and manage the environment in which livestock are kept. However, conventional models of growth are not sufficient to support the decision-making to control complex environment in pen by analyzing and interpreting air environment and breeding environment in a complex way. In this paper, we propose a method to control the complex environment in pen by using artificial neural network model based on biological information, air environment, breeding environment and production information.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.2
• /
• pp.131-136
• /
• 2015

The chemical tank loading problem has been classified as nondeterministic polynomial time (NP)-complete problem because of the polynomial-time algorithm to find the solution has been unknown yet. Gu$\acute{e}$ret et al. tries to obtain the optimal solution using linear programming package with $O(m^4)$ time complexity for chemical tank loading problem a kind of bin packing problem. On the other hand, this paper suggests the rule of loading chemical into minimum margin tank algorithm with O(m) time complexity. The proposed algorithm stores the chemical in the tank that has partial residual of the same kind chemical firstly. Then, we load the remaining chemical to the minimum marginal tanks. As a result of experiments, this algorithm reduces the $O(m^4)$ of linear programming to O(m) time complexity for NP-complete chemical tank loading problem.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.14 no.1
• /
• pp.46-51
• /
• 2004

his paper presents a novel design technique for the TS fuzzy classifier via linear matrix inequalities(LMI). To design the TS fuzzy classifier built by the TS fuzzy model, the consequent parameters are determined to maximize the classifier's performance. Differ from the conventional fuzzy classifier design techniques, convex optimization technique is used to resolve the determination problem. Consequent parameter identification problems are first reformulated to the convex optimization problem. The convex optimization problem is then efficiently solved by converting linear matrix inequality problems. The TS fuzzy classifier has the optimal consequent parameter via the proposed design procedure in sense of the minimum classification error. Simulations are given to evaluate the proposed fuzzy classifier; Iris data classification and Wisconsin Breast Cancer Database data classification. Finally, simulation results show the utility of the integrated linear matrix inequalities approach to design of the TS fuzzy classifier.

• Journal of the Korean Data and Information Science Society
• /
• v.23 no.3
• /
• pp.543-558
• /
• 2012

Our study examines if the existence of a housewife in a family increases private education fees or not, which have continued to burden the family expenditure in Korea. Main findings are as follows: First, the existence of a housewife in a family have an positive impact on the private education expenses, irrespective of the model. Second, the higher decile the less the effect of the housewife on the private education cost. However, the first decile is an exception. Third, the housewife effect of a laborer family is stronger than that of a non-laborer family. It implies that laborers who earn the income regularly expend more money on their children's private education than nonlaborers.

• Journal of Intelligence and Information Systems
• /
• v.8 no.2
• /
• pp.139-157
• /
• 2002

The rapid growth of e-commerce has made both companies and customers face a new situation. Whereas companies have become to be harder to survive due to more and more competitions, the opportunity for customers to choose among more and more products has increased. So, the recommender systems that recommend suitable products to the customer have an important position in E-commerce. This research introduces collaborative filtering based recommender system which helps customers find the products they would like to purchase by producing a list of top-N recommended products. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is used to select target customers, who have high possibility of purchasing recommended products. We applied the recommender system to a Korean department store. The methodology is evaluated with the analysis of a real department store case and is compared with other methodologies.

• The KIPS Transactions:PartA
• /
• v.11A no.5
• /
• pp.333-340
• /
• 2004

In order that routers forward a packet to its destination, they perform IP address lookup which determines the next hop according to the packet's destination address. In designing high speed routers, IP address lookup is an important issue. In order to design high speed routers, this paper proposes a parallel IP lookup scheme which consists of several IP lookup engines without any modification of already fabricated indirect IP lookup chipsets. Also, we propose a simple rule for partitioning IP prefix entries In an overall forwarding table among several IP lookup engines. And we evaluate the performance of the proposed scheme in terms of the memory size required for storing lookup information and the number of memory accesses on constructing the forwarding table. With additional hardware logics, the proposed scheme can reduce about 30% of the required memory size and 80% of the memory access counts.

• Archives of design research
• /
• v.12 no.4
• /
• pp.243-250
• /
• 1999

Interior design is depend on combination way of between invisible meaning and visible form, then it has a several meaning by that. The meaning of interior space is a invisible concept which is shown by a form and it is mainly recognized by a image. The purpose of this study is to explore that characters of image in communication process, typical aspect and structural aspect have been shown in interior design. On this study, I try to study space analysis about commercial space to explore character of spatial image through theoretical approach. In a result, the image of interior space is made by deep representation as a designer's basic concept and is delivered by conversion of various codes. Therefore, the image of interior space is not a additional concept which is made by natural factor of space, it is a design concept which must be dealt with space planning.