• Geophysics and Geophysical Exploration
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• v.4 no.4
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• pp.110-114
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• 2001

In order to obtain the geological information of the shallow subsurface and the characteristics of resistivity curves to the lateral extent of the gold bearing gravel layer underlaid by a thick layer, electrical resistivity surveys had been carried out in the northern area of Takaoi village, Kalimantan, Indonesia from September 30th to October 27th in 1999. The Dipole-Dipole (Dp-Dp) resistivity survey was carried out with a electrode spacing of A=3m, 5m and electrode separation index n=10, and the vertical electrical sounding (VES) of the Schlumberger type was performed at 6 sites. The interpretation of the Dp-Dp data and VES curves by computer modeling indicates 5 classified layers as the horizontal structure. And the characteristics of VES curves shows us KH type.

• Geophysics and Geophysical Exploration
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• v.5 no.3
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• pp.185-192
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• 2002

We made a study of 3-D migration which could precisely image data of GPR (Ground Penetrating Radar) applied to NDT (Non-Destructive Test) field for the inspection of structural safety. In this study, we obtained 3-D migrated images of important targets in structuresurvey (e.g. steel pipes, cracks) by using 3-D Kirchhoff prestack depth migration scheme developed for seismic data processing. For a concrete model consisting of steel pipe and void, the targets have been well defined with opposite amplitude according to the parameters of the targets. And migrated images using Parallel-Broadside array (XX configuration) have shown higher resolution than those using Perpendicular-Broadside array (YY configuration) when steel pipes had different sizes. Therefore, it is required to analyze the migrated image of XX configuration as well as that of general YY configuration in order to get more accurate information. As the last stage, we chose a model including two steel pipes which cross each other. The upper pipe has been resolved clearly but the lower has been imaged bigger than the model size due to the high conductivity of the upper steel.

• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.1470-1475
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• 2009

Until now for the safety of structures and equipment monitoring technology to measure the amount of the physical, if that is the one, one-point or single-source target is one the most. Therefore, becoming more numerous and complex to measure the amount of physical measurement technology that is comprehensive and complex, multi-source concepts to the monitoring of a multi-sensing technology is required. Have the same characteristics of multi-source multi-use space such as a multi-structure of facilities/equipment is. The people's safety in a multi-use facility will be directly related to life and even a little carelessness can lead to large-scale disaster occurs because of several factors, risks and to manage detect in advance the development of an intelligent monitoring technology is essential. Therefore, this study shows that multiple structures/facilities to improve the quality of human life in research to maintain a safe and comfortable living space for multi-source intelligence to the development of monitoring technology to achieve that goal, and the ubiquitous sensor network system on the basis of the wireless transmission module, and multiple research facilities/equipment for the ultra-small sensors for health monitoring study was performed.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.723-730
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• 2003

In general, well log and core data have been utilized for reservoir characterization. These well data can provide valuable information on reservoir properties with high vertical resolution at well locations. While the seismic surveys cover large areas of field but give only indirect features about reservoir properties. Therefore it is possible to estimate the reservoir properties guided by seismic data on entire area if a relationship of seismic data and well data can be defined. Seismic attributes calculated from seismic surveys contain the particular reservoir features, so that they should be extracted and used properly according to the purpose of study. The method to select the suitable seismic attributes among enormous ones is needed. The stepwise regression and fuzzy curve analysis based on fuzzy logics are used for selecting the best attributes. The relationship can be utilized to estimate reservoir properties derived from seismic attributes. This methodology is applied to a synthetic seismogram and a sonic log acquired from velocity model. Seismic attributes calculated from the seismic data are reflection strength, instantaneous phase, instantaneous frequency and pseudo sonic logging data as well as seismic trace. The fuzzy curve analysis is used for choosing the best seismic attributes compared to sonic log as well data, so that seismic trace, reflection strength, instantaneous frequency, and pseudo sonic logging data are selected. The relationship between the seismic attribute and well data is found out by the statistical regression method and estimates the reliable well data at a specific field location derived from only seismic attributes. For a future work in this study, the methodology should be checked an applicability of the real fields with more complex and various reservoir features.

• 한국지구물리탐사학회:학술대회논문집
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• 2009.10a
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• pp.119-123
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• 2009

Gravity changes due to variations of groundwater level were measured at a ground water monitoring well, which is located at Kum-san, Korea, from November 2008 to September 2009 using Portable Earth Tide (PET) gravimeter. Groundwater level was monitored simultaneously with gravity observations. To extract gravity information from groundwater, we reduced gravity effect from atmospheric surface pressure, earth tides and its loading effect, polar motion and meter drift. In addition, in June 4, 2009, there was a pumping test at he observation well, and groundwater level and gravity variations were observed together successfully. Observation of gravity along with groundwater level is potentially useful for monitoring of aquifer water mass balance and water resources.

• Journal of Ginseng Research
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• v.11 no.1
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• pp.10-16
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• 1987

This study was carried out to get basic information that can be used in quality control for processing ginseng products and also in separation of pure ginsenosides for experimental purpose. The composition of various parts of 6 year-old ginseng was 4.1% of rhizome (node), 47.7% of main root, 34.1% of lateral root and 14.1% of fine Toot on dried weight basis. The weight ratios of epidermis-cortex and xylem were about 1 : 1 in main root and about 2 : 1 in lateral root. The distribution of total saponin content shows 29.2% in main root, 34.6% in lateral root, 29.1% in fine root and 7% in rhizome, but the order of the content per unit weight was fine root > rhizome > lateral root > main root. Total saponin content according to age of root was increased gradually within 3% for 6 years, as compared with two year old root. In view of the increase of root weight owing to the net amount of saponin in root increased continuously. The increase rates of total saponins per year were 3.1,12.3,19.8,43.8 and 21.1% in 2, 3, 4, 5 and 6 years-old ginseng root, respectively.

• Journal of Ginseng Research
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• v.7 no.2
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• pp.133-147
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• 1983

This study was carried out to obtain the basic information for the development of new ginseng varieties. The two variants (violet-stem variant and yellow-berry variant) of Korean ginseng (Panax ginseng C.A. Meyer) and American ginseng (Panax quinquefolium L.) of one to four-year were used for this study. All of the characteristics, such as leaf length, leaf width, petiol length, number of leaves per plant, number of leaflets per plants, stem diameter, stem length, number of stems per plant, root length, primary root length, root diameter, root weight were determined and correlations among them were estimated. The results obtained were summarized as follows. 1. Leaf length, petiol length, number of leaves per plant, and number of leaflets per plant of Panax ginseng, violet-stem variant and yellow-berry variant, were larger than those of Panax quinquefolium at all of the plant ages, while leaf width was wider in Panax quinquefolium. 2. The length of stem of Panax quinquefolium was shorter than that of Panax ginseng, and the frequency of multi-stem plants at 4-year-old ginseng was larger in violet-stem variant than in Panax quinquefolium and yellow-berry variant. 3. In the characteristics of ginseng root, the primary root length of Panax ginseng, violet-stem variant and yellow-berry variant, were less than that of Panax quinquefolium, while root weight, root diameter, and umber of secondary root related to yield were larger in Panax ginseng. 4. The root weight per plant related to the yield had positive and highly significant correlations with stem diameter, leaf length, leaf length, leaf width, number of compound leaves and leaflets in Panax ginseng and Panax quinguefolium. 5. The root weight related to the wield of ginseng had been influenced to stem diameter, leaf length, and leaf width directly, and number of compound leaves and leaflets indirectly. 6. The number, total area and activity of stomate per mm2 of Panax quinquefolium were more, larger and stronger than those of Panax ginseng.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.1-8
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• 2014

Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

• Journal of the Korea Society for Simulation
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• v.16 no.2
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• pp.55-64
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• 2007

The sensor nodes on the sensor network transmit the reply for the queries of ADV(Advertisement) message from sink node, and the sink node presents the received information to users. To find the relevant sensor nodes, routing algorithms disseminates ADV messages to the whole network. Thus not only the relevant sensor nodes but also the irrelevant ones consume considerable amount of energy. To alleviate such kind of energy consumption, this thesis proposes a new routing algorithm and coins it Directed Messaging. It propagates ADV message only to the limited direction and changes the direction until the requested sensor node is found. In this way, Directed Messaging reduces unnecessary energy consumption and enhance the efficiency of the networks. Performance of the Directed Messaging algorithm is evaluated through simulation and compared with Directed Diffusion algorithm. Simulation results show that it has better performance than Directed Diffusion.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.219-228
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• 2014

Various computational resources in distributed environment are to build a high-performance computing environments through virtualization technology. Recently, there is a growing need for a complicated process due to the improvement of the user-level application, which has led to demand for high-performance computing. The requested job from users is composed of data. And because of each data has own characteristics, the classifier may consider the features of data. In this paper, we propose Job Classifying method based on Data Traits for Increased Efficiency of Computational Resources in Distributed Environment (JCDT). JCDT classifies the job by data traits of the users' request, is expected to improve the job processing time and increase the processing speed of the calculation resources.