• The Korean Journal of Mycology
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• v.25 no.1 s.80
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• pp.26-29
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• 1997

Pyrimidine auxotrophic basidiospores of Pleurotus sajor-caju were selected using positive selection method. Wild type basidiospores could not grow on minimal medium containing the pyrimidine analog 5'-fluoro-orotic acid (5'-FOA) whereas pyrimidine auxotrophs grew normally. After treatment of basidiospores with ultraviolet light, a total of 13 pyrimidine auxotrophic basidiospores were isolated among 24 5'-FOA resistant mutants. These mutants require the pyrimidine such as uracil, cytosine, thymine. Mating type group and growth rate of their mutants were determined.

• Journal of Korean Society of Rural Planning
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• v.13 no.2
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• pp.17-26
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• 2007

This study aims to develop a rational evaluation system which consists of the selection of evaluation items and the estimation of its weight for the Enhancement Program of the Quality of Life for Farmers and Fishermen and Rural Development. This system has two hierarchical steps. The first step shows the evaluation goals which are relevance, efficiency and effectiveness of the program. The second step stands for the evaluation items which have 11 sub-items such as necessity and externalization for the program, rationality of procedures, feedback and monitoring system, budgetary allocations, information activities, impacts on the program, achievements of the goals and so on. A tentative evaluation system was proposed by brainstorming and Delphi method of expert-group. Weighting values of evaluation items were calculated through pair-comparison works of expert group using stepwise matrix sheets by AHP(Analytic Hierarchy Process).

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.591-597
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• 2001

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). Immune system is living body's self-protection and self-maintenance system. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a B-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control school is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• ETRI Journal
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• v.34 no.4
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• pp.602-612
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• 2012

It is becoming increasingly difficult to identify promising technologies due to the influx of new technologies and the high level of complexity involved in many of these technologies. Identifying promising information and communications technology (ICT)-based converging technologies holds the key to finding new sources of economic growth and forward momentum. The goal of this study is to identify cutting-edge ICT-based converging technologies by examining the latest trends in the US patent market. Analyzing the US patent market, the most competitive of such markets in the world, can yield certain clues about which of the ICT-based converging technologies may be the next revolutionary technologies. For a classification of these technologies, this study follows the International Patent Classification system. As for ICT, there are 58 related fields at the subclass level and 831 fields at the main-group level. For emerging and converging technologies, there are 75 at the main-group level. From these technologies, a final selection for cutting-edge ICT-based converging technologies is made using a composite index reflecting the converging coefficient, emerging coefficient, and technology impact index.

• Journal of the Korean School Mathematics Society
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• v.2 no.1
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• pp.157-166
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• 1999

Compared with other subjects, mathematics has great differences in achieve-ment. In hope of solving this problems, most schools try the level-movement learning. Although they say it may have some effect because of its homogeneous group, the level groups still have differences in achievement in their students abilities. So, this study aims to present an appropriate tasks for the advanced, intermediate and beginner groups and to help self-directed learning by selecting an appropriate tasks for the students' own level. To achieve thiese goals, a great deal of level tasks were developed and given to the students. After lettins them an select appropriate tasks for their own level and perform self-directed learning, the tasks were measured carefully for their interest, attitude and achievement in learning. Consequently, we tried a new method to improve uniformity and to turn teacher-centered learning into student-centered learning. The following is the conclusion to this study. First, self-directed learning based on the selection of level tasks has meaningful effects on learning achievement in mathematics, especially for the beginner group. Second, though the above method did not improve an interest for mathematics, but was very effective in the improvement of learning attitudes.

• The Korean Journal of Community Living Science
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• v.20 no.3
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• pp.385-396
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• 2009

The purpose of this study was to analyze and categorize the factors of appearance management motivation of male and female college students in Busan. It also aimed to analyze the differences in their clothing behavior and make-up behavior. The data were analyzed by Factor analysis, Cluster analysis, one-way ANOVA, Duncan's multiple range test, and multi-response analysis. The results of this study are as follows: There were four factors including self -development, emphasis on the physical appearance, individuality-seeking, and sexual appealing. These subjects were categorized into three different types of groups: social-self-management type, passive appearance management type, and individuality-seeking type. In terms of the differences in the clothing purchase behavior of the physical appearance management motivation group, there were significant differences in the criteria of their selections for clothing. The most important factor was the design, followed by the price and the fabrics. The differences in cosmetics selection were investigated in order to analyze the differences in their make-up behavior of physical appearance management motivation group. The results showed that the quality, the price, and the manufacturing country were considered as the most important criteria for their selection of cosmetics.

• East Asian mathematical journal
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• v.32 no.2
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• pp.153-174
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• 2016

The purpose of this study is to provide an opportunity for better understanding and application of 2009 revised elementary school mathematics textbooks through focus group's investigations on the elementary mathematics teacher's guide books. First, We survey previous studies on the teacher's guide books to make the frame of investigation. Next, We compose focus group(8 teachers) for 3~4th grades, and analyze the teacher's guide books according to ready-made frame: compliance of curriculum, accuracy and fairness of contents, selection and organization of contents. As results of investigation, system of organization of the teacher's guide books is needed. Goal, contents, teaching methods, and evaluations have to be consistent in describing mathematical terms. And errors in mathematics and mathematics education are examined more carefully. The teacher's guide books afford teachers many materials and informations to teach mathematics through classroom lessons. So more study on the teacher's guide books and developmental study for the model guidebooks is needed along with the revised curriculum and new textbooks.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.2
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• pp.115-125
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• 2015

This paper presents a Cuckoo search algorithm to secure adversaries misdirecting multi-hop routing in Mobile ad hoc networks (MANETs) using a robust Trust Predicated Routing Framework with an optimized cluster head selection. The clustering technique designed in this framework leads to efficient routing in MANETs. The heavy work load in the node causes an energy drop in cluster head, which leads to re-clustering of the group, and another cluster head is selected to avoid packet loss during data transmission. The problem in the re-clustering process is that the overall efficiency of the routing process is reduced and the processing time is increased. A Cuckoo search based optimization algorithm is proposed to solve the problem of re-clustering by selecting the secondary cluster head within the initially formed cluster group and eliminating the reclustering process. The proposed framework enables a node to select a reliable and secure route for MANET and the performance can be evaluated by comparing the simulated results with the AODV routing protocol, which shows that the performance of the proposed routing protocol are improved significantly.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.2B
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• pp.107-116
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• 2006

In this paper, we propose a Sensing Resolution-based Grouping(SRG) protocol for wireless sensor networks. SRG is intended for meeting the application's sensing objectives, where sensor nodes are densely deployed and have the determinate accuracy requirement. The primary contribution of this paper is active group header node selection and round-robin procedure, which increase the sensing accuracy and evenly distribute the node energy consumption. The second contribution is use of energy efficient intermediate node selection by considering group size and energy consumption. We present the design principle of SRG and provide simulation results.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.208-219
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• 2023

Recently, as mega-urbanization progresses, urban logistics centered on large cities is growing rapidly, and logistics transportation is increasing due to the lack of logistics infrastructure and the operation of a delivery system using cargo trucks in the city center. being cited as a cause. In order to solve this problem, domestic researchers are conducting research on the development of " Urban Underground railway Logistics System" that minimizes the initial infrastructure construction cost by utilizing the existing urban railway facilities in the city. Therefore, this paper analyzed the usage environment of the actual urban railway station to which the system will be applied in order to derive candidates for the test bed selection of "Urban Underground railway Logistics System". The evaluation criteria for test bed candidate role selection were established, and the candidate group derived from the Brown & Gibson model was used to evaluate the candidate group and derive the candidate role. A review of the results was conducted to contribute to the establishment of a test bed for the " Urban Underground railway Logistics System" under development.