• Korean Journal of Childcare and Education
• /
• v.5 no.1
• /
• pp.41-57
• /
• 2009

This study investigated the teaching practice of students attending a three-year early childhood education course in K City, Gyeonggi Province, as well as the educational environments of 72 kindergartens and child care centers where they received field training and which were located in Gangseo-gu, Seoul, Incheon Metropolitan City, Bucheon, and Ilsan. After four weeks of teaching practice, those prospective teachers were surveyed for their objective opinions and current state regarding the practice guidance for students, teachers' working hours and wages, and female dominance in number among early childhood educators and heads of early childhood education institutions. Those data were collected to understand the operations of early childhood education institutions and the current teaching practice. According to the analysis results, the students of the early childhood education major said the four-week teaching practice was very helpful for them to understand the field and thus had positive receptions of it. Most of the prospective teachers felt the heaviest burden and experienced the biggest shortcomings in practical skills such as music, art, and hand play during class. They also felt a partial need for male counterparts. Those findings will help prospective teachers understand the field further before going out on the field and the teaching bodies have specific ideas about what kind of guidance is provided by kindergartens or child care centers. In addition, they will hopefully serve as basic data to form organic connections between the educational institutions and the field to produce more talented early childhood education teachers.

• Journal of Korean Institute of Industrial Engineers
• /
• v.41 no.4
• /
• pp.396-407
• /
• 2015

The literature about intelligence assets allocation focused on mainly single or partial assets such as TOD and GSR. Thus, it is limited in application to the actual environment of operating various assets. In addition, field units have generally vulnerabilities because of depending on qualitative analysis. Therefore, we need a methodology to ensure the validity and reliability of intelligence asset allocation. In this study, detection probability was generated using digital geospatial data in MGIS (Military Geographic Information System) and simulation logic of BCTP (Battle Commander Training Programs) in the R.O.K army. Then, the optimal allocation mathematical model applied concept of simultaneous integrated management, which was developed based on the partial set covering model. Also, the proposed GA (Genetic Algorithm) provided superior results compared to the mathematical model. Consequently, this study will support effectively decision making by the commander by offering the best alternatives for optimal allocation within a reasonable time.

• Korean Management Science Review
• /
• v.34 no.1
• /
• pp.27-45
• /
• 2017

The purpose of this study is to empirically analyze whether open innovation activities are significant and which methods are more effective in developing new businesses. Based on the latest technological innovation survey data of the Science and Technology Policy Institute, the results were analyzed by binary logistic regression analysis. As a result of the analysis, we confirmed that open innovation activities have a positive effect on the performance of developing new businesses. In the open innovation activities, Recruitment (invitation) of specialist in related fields, Business alliance technical agreement, Dispatch of personnel, M&A, Acquisitions identify related field trends showed more influence in order. It would be beneficial to improve the performance of developing new businesses with a low probability of success if utilize more effective innovation activities in developing new business in enterprises or organizations throughout this study.

• Journal of Microbiology and Biotechnology
• /
• v.14 no.6
• /
• pp.1163-1169
• /
• 2004

An unstructured mathematical model is presented for lactic acid fermentation based on the energy balance. The proposed model reflects the energy metabolic state and then predicts the cell growth, lactic acid production, and glucose consumption rates by relating the above rates with the energy metabolic rate. Fermentation experiments were conducted under various initial lactic acid concentrations of 0, 30, 50, 70, and 90 g/l. Also, a genetic algorithm was used for further optimization of the model parameters and included the operations of coding, initialization, hybridization, mutation, decoding, fitness calculation, selection, and reproduction exerted on individuals (or chromosomes) in a population. The simulation results showed a good fit between the model prediction and the experimental data. The genetic algorithm proved to be useful for model parameter optimization, suggesting wider applications in the field of biological engineering.

• Journal of Korean Society of Rural Planning
• /
• v.7 no.1 s.13
• /
• pp.15-25
• /
• 2001

This paper described the overall operations and applications of the water environment management and evaluation systems (WEMES) for environmental management, conservation, and evaluation for a small watershed. WEMES was to be applied with field data from small watersheds ranging from 0.4 to 29.79km2 in size which have steep topography and complex landuses. WEMES was a computer aided decision support system, that was comprised of the database subsystem, the simulation model subsystem, the environmental evaluation model subsystem, and the graphic user interface subsystem that visualizes the simulated results. The water environment management and evaluation with WEMES was successfully performed.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
• /
• 2000.04a
• /
• pp.501-506
• /
• 2000

Many research in Robot control has effectively proceeded on the development of Aritficial Intelligence Robot which is able to apply to the uncertain and monotonous operations which are repeated continuously in the industrial field. In this study, the precise shape recognition of base metal for welding was gained by mono CCD camera, and the gained data was transformed into Decimal code through Image Board in computer. And the Fuzzy Logic control system designed by use of Fuzzy rule was built to judge whether the base metals were precisely matched or not with Decimal code. Machanically manipulated Robot syst em was linked to Fuzzy Control system through image information, and ultimately, these systems will be able to apply for production system.

• Korean Management Science Review
• /
• v.18 no.2
• /
• pp.25-38
• /
• 2001

The well-known back-propagation algorithm for multi-layered neural network has successfully been applied to pattern c1assification problems with remarkable flexibility. Recently. the multi-layered neural network is used as a powerful data mining tool. Nevertheless, in many cases with complex boundary of classification, the successful learning is not guaranteed and the problems of long learning time and local minimum attraction restrict the field application. In this paper, an Improved learning procedure of multi-layered neural network is proposed. The procedure is based on the generalized delta rule but it is particular in the point that the architecture of network is not fixed but enlarged during learning. That is, the number of hidden nodes or hidden layers are increased to help finding the classification boundary and such procedure is controlled by entropy evaluation. The learning speed and the pattern classification performance are analyzed and compared with the back-propagation algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2001.10a
• /
• pp.375-379
• /
• 2001

This paper describes a development of remote measurement robot with vision system. The developed robot consists of robot controller and host PC program. The robot and camera can move with 2 degree of freedom by independent remote controlling a user friendly designe joystick. A visual image and command data translated through 900MHz and 447MHz RF controller, respectively. To show the validity of the developed system, operations of the robot in the field area were illustrated.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2002.11a
• /
• pp.457-461
• /
• 2002

This paper describes a development of a robot working in hazard environment. The developed robot consists of robot controller with vision system and host PC program. The robot and camera can move with 2 degree of freedom by independent remote controlling a user friendly designed joystick. An environment is recognized by the vision system and ultra sonic sensors. The visual image and command data translated through 900MHz and 447MHz RF controller, respectively. To show the validity of the developed system, operations of the robot in the field area were illustrated.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2014.11a
• /
• pp.94-95
• /
• 2014

Construction industry has become higher, larger and more complicated. It has been analyzed that the process planning in the construction site has been made by the site engineer experience mostly and some were made based on historical data. However, such plans have been investigated that require numerous revisions during construction which means that the plans made through such methods are not reliable. Numerous studies in this field have been conducted trying to solve such problems developing methodologies to overcome such limitations. It has been analyzed that many studies have focused on suggesting prediction models only that cannot be used for both actual planning prior to construction and process monitoring during construction. Therefore, this study suggests a methodology that effectively manages construction productivity by applying simulation methodology combined with bayesian approach focusing on the high-rise curtain wall operations.