• The Korean Journal of Community Living Science
• /
• v.17 no.1
• /
• pp.3-10
• /
• 2006

The purpose of this study was to analyze leadership competency in the rural leader roles. The data were derived from 317 leaders in 97 rural communities by questionnaire. SPSSWIN/ver10 was adopted t-test and IPA (Importance-Performance Analysis) methods employed. The major findings of this study were as follows; Rural leaders should concentrate on developing coaching/feed back, program management skills, and presentation skills. Administrative head of village should pay attention to benchmarking, brand development and conflict resolution rather than resident management, service knowledge, and making relationships. Leaders of village development council should concentrate on brand development, benchmarking, and educating residents. Head of women's organizations should concentrate on developing assessments, educating residents, and resolving conflict skills, whereas members of Samaeul organization should try to concentrate on program management, coaching/feed back and presentation skills. Rural leaders showed different leadership competency by the IPA. Therefore, this study suggested that leadership education for rural leaders should consider leadership competency.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.28 no.3
• /
• pp.254-262
• /
• 2008

The objective of the proposed study is to produce a tool-condition monitoring (TCM) strategy that will lead to a more efficient and economical drilling tool usage. Drill-wear monitoring is an important attribute in the automatic cutting processes as it can help preventing damages of the tools and workpieces and optimizing the tool usage. This study presents the architectures of a multi-layer feed-forward neural network with back-propagation training algorithm for the monitoring of drill wear. The input features to the neural networks were extracted from the AE signals using the wavelet transform analysis. Training and testing were performed under a moderate range of cutting conditions in the dry drilling of steel plates. The results indicated that the extracted input features from AE signals to the supervised neural networks were effective for drill wear monitoring and the output of the neural networks could be utilized for the tool life management planning.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.2 no.3
• /
• pp.71-81
• /
• 2000

For the construction of NATM tunnel, it is required a design based on the accurate soil condition from soil investigation. However, in practice, it often designs tunnels without fully understanding the condition. Especially, when soft soil comes up, or ground water breaks out suddenly on the construction, it needs to secure the stability of tunnel by appropriate reinforcing construction according to the results of measurements on field superlatively reflecting the faced situation. This report reviews the mostsuitable stability of tunnel in the construction of soft soil of tunnel by numerical analysis using FDM after re-evaluated the soil properties through back analysis using the results of measurements to simulate abruptly occurred deformation. And applying steel pipe grouting row by row on the wall and the low part of tunnel and also applying the construction method of temporary invert after excavation of the upper part of tunnel, the excavation of soft soil tunnel secured the structural stability of tunnel has been completed.

• Asian-Australasian Journal of Animal Sciences
• /
• v.22 no.3
• /
• pp.307-312
• /
• 2009

The study of candidate genes is an important tool to identify genes associated with economic traits. Three genes were selected to study the association between polymorphism and economic traits and breed of pigs. Growth hormone releasing hormone (GHRH) takes part in growth metabolism and is one of the candidate genes known to be highly associated with economic traits in pigs. Heart fatty acid-binding protein (H-FABP) is related to back fat thickness and intramuscular fat (IMF) content, and myogenin (MYOG) is associated with the amount of growth rate and lean yield in pigs. By PCR-RFLP analysis, the association between the genotypes of the three genes and the average daily gain, back fat thickness, feed conversion, body length and meat percent in 352 pigs (112 Duroc pigs, 132 Landrace pigs and 108 Yorkshire pigs) were analyzed. GHRH polymorphisms showed differences depending on breed (p<0.01) and were associated with meat percent. H-FABP polymorphisms also showed significant differences among breeds and sex (p<0.01), and were highly associated with average daily gain, feed conversion and back fat thickness (p<0.01) and even showed an association with meat percent (p<0.05). However, the MYOG gene showed no significant effect in this study. These results reconfirmed that GHRH and H-FABP are potential major genes or markers for economic traits.

• Proceedings of the KIPE Conference
• /
• 1997.07a
• /
• pp.432-435
• /
• 1997

This Paper proposes a novel sinusoidal converter which improves input power factor and input current waveform without any complicated switching modulation such as a pulse width modulation or a complicated feed-back control. It is composed of a full bridge diode, a pair of capacitors, a pair of inductors and a pair of switching devices. The configuration and control strategy are both simple however, the sinusoidal converter effectively reduces reactive power and hamonics included in a input line current. Excellent behavior of the proposed converter is verified by theoretical analysis and experimental results.

• Journal of applied mathematics & informatics
• /
• v.5 no.3
• /
• pp.827-837
• /
• 1998

We consider the M/G/1 queue with instantaneous feed-back. The probabilities of feedback are determined by the state of the underlaying Markov chain. by using the supplementary variable method we derive the generating function of the number of customers in the system. In the analysis it is required to calculate the matrix equations. To solve the matrix equations we use the notion of Ex-tended Laplace Transform.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2000.03c
• /
• pp.70-77
• /
• 2000

Field instrumentation has been important part of construction management in embankment on soft ground. Most of all, well organized plan, instrumentation, maintenance, analysis and feed-back to the construction procedure are the key to the successful construction. In this paper, We review problems of field instrumentation has been performed at road construction on soft ground. And then, several proposals to improve field instrumentation and management are suggested

• Proceedings of the Membrane Society of Korea Conference
• /
• 1994.04a
• /
• pp.29-32
• /
• 1994

The increasing environmental risks exert strong demands for the knowledge of environmentally significant compounds and the reduction of such compounds on the earth. The risk reduction can, in principle, be most effectively achieved by minimizing the formation of environmental pollutants, by-products in many cases, during processes in factories, power plants and other sources. This can be done by on-line, real time monitoring the formation of pollutants at the moment when they are formed, and thereby through the feed-back control of the process.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 1998.03a
• /
• pp.49-52
• /
• 1998

Neural Network has good performance in pattern classification, control and many other fields by learning ability. However, there is effective rule or systematic approach to determine optimal structure. In this paper, we propose a new method to find optimal structure of feed-forward multi-layer neural network as a kind of pruning method. That eliminating redundant elements of neural network. To find redundant elements we analysis error and weight changing with Rough Set Theory, in condition of executing back-propagation leaning algorithm.

• IE interfaces
• /
• v.9 no.1
• /
• pp.53-62
• /
• 1996

The Delphi method is widely used for long and middle range forecasting in management science. It is a method by which the subjective data of experts are made to converge using statistical analysis. The Fuzzy Delphi Method(F.D.M.), anew application of the Delphi method using Triangular Fuzzy Numbers(T.F.N.), can help to predict the uncertainty, synthesize the opinion and calculation of those assumed dissemblance index and fuzzy distance. Furthermore, the programming of the F.D.M. process to feed paper and data back to experts can make them more accurately predict the various information.