• Journal of Biosystems Engineering
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• v.27 no.3
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• pp.259-266
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• 2002

It is crucial to know spatial soil variability for precision farming. However, it is time-consuming, and difficult to measure spatial soil properties. Therefore, there are needs fur sensing technology to estimate spatial soil variability, and for electronic mapping technology to store, manipulate and process the sampled data. This research was conducted to develop a real-time soil organic matter sensor and an electronic mapping system. A soil organic matter sensor was developed with a spectrophotometer in the 900∼1,700 nm range. It was designed in a penetrator type to measure reflectance of soil at 15cm depth. The signal was calibrated with organic matter content (OMC) of the soil which was sampled in the field. The OMC was measured by the Walkeley-Black method. The soil OMCs were ranged from 0.07 to 7.96%. Statistical partial least square and principle component regression analyses were used as calibration methods. Coefficient of determination, standard error prediction and bias were 0.85 0.72 and -0.13, respectively. The electronic mapping system was consisted of the soil OMC sensor, a DGPS, a database and a makeshift vehicle. An algorithm was developed to acquire data on sampling position and its OMC and to store the data in the database. Fifty samples in fields were taken to make an N-fertilizer dosage map. Mean absolute error of these data was 0.59. The Kring method was used to interpolate data between sampling nodes. The interpolated data was used to make a soil OMC map. Also an N-fertilizer dosage map was drawn using the soil OMC map. The N-fertilizer dosage was determined by the fertilizing equation recommended by National Institute of Agricultural Science and Technology in Korea. Use of the N-fertilizer dosage map would increase precision fertilization up to 91% compared with conventional fertilization. Therefore, the developed electronic mapping system was feasible to not only precision determination of N-fertilizer dosage, but also reduction of environmental pollution.

• Journal of Korea Water Resources Association
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• v.51 no.5
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• pp.383-393
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• 2018

The regional frequency analysis is the method which uses not only sample of target station but also sample of neighborhood stations in which are classified as hydrological homogeneous regions. Consequently, identification of homogeneous regions is a very important process in regional frequency analysis. In this study, homogeneous regions for regional frequency analysis of precipitation were identified by the self-organizing map (SOM) which is one of the artificial neural network. Geographical information and hourly rainfall data set were used in order to perform the SOM. Quantization error and topographic error were computed for identifying the optimal SOM map. As a result, the SOM model organized by $7{\times}6$ array with 42 nodes was selected and the selected stations were classified into 6 clusters for rainfall regional frequency analysis. According to results of the heterogeneity measure, all 6 clusters were identified as homogeneous regions and showed more homogeneous regions compared with the result of previous study.

• Journal of the Ergonomics Society of Korea
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• v.18 no.2
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• pp.35-45
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• 1999

Driver centered vehicle design is the important factor for driver's safety, product quality, and so on. Therefore, people has recently recognized the importance of driver centered vehicle design. Especially, in the focus of driver-vehicle interaction system, it is very important factor to ergonomic design of vehicle cockpit. In this study, Sketch Map method was used to measure of driver's cognitive map on IP(Instrument Panel) that is the basic factor to ergonomic design for vehicle cockpit. The compatibility of Sketch Map method was validated for the measurement of driver's cognitive map and then the accuracy between two groups was analyzed using Sketch Map method. Subjects were divided in two groups, the first group of subjects has their own vehicles and driver license, and the second group of subjects doesn't have own vehicle but has driver license. The result showed that for the case of the first group, the shape of IP in the cognitive map was influenced by IP of their each vehicle. However, for the case of the second group, it showed the difference between IP in the cognitive map and IP of experienced vehicle many times because they have been driving various type of vehicle. So, the shape of IP in the cognitive map was influenced by various type of IP.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.25-29
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• 2006

Noise map presents new alternatives of noise reduction counter measure and becomes important tool for making environmental policy. Many input factors such as road conditions, number of vehicles, speeds of vehicles are used for noise prediction of the noise map. However, results of noise prediction make difference depending on the values of the input factors. In this study, effect of measurement method for vehicle speeds all the prediction results of the noise map.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.20 no.6
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• pp.515-520
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• 2010

The noise map has been applied to predicting the effect of noise and establishing the noise abatement measure for several years overseas. However the introduction of the noise map in Korea is at the initial stage. Thus, we surveyed the several prediction models for road traffic noise used in EU, and the method of applying the noise map in noise impact assessment. In order to improve the noise impact assessment we have to apply the noise map, and propose the guideline of predicting the road traffic noise. We intend to obtain coherency and accuracy of prediction results. As a result of this study, we know that the prediction guideline is an essential prerequisite in order to predict the unified and accurate road traffic noise.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.17 no.2 s.119
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• pp.155-159
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• 2007

Noise map presents new alternatives of noise reduction counter measure and becomes important tool for making environmental policy. Many input factors such as road conditions, number of vehicles, speeds of vehicles are used for noise prediction of the noise map. However, results of noise prediction make difference depending on the values of the input factors. In this study, it researched effect of measurement method for vehicle speeds on the prediction results of the noise map.

• Journal of the Korean Geographical Society
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• v.29 no.1
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• pp.39-45
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• 1994

One of the major problems comparing the old map, Daedongyojido, with modern maps in order to measure the spatial error of the map it a projection of the modern map selected. This study focuses on the map projection of Daedongyojido. Three different approaches are used: comparing the spatial pattern of Daedongyojido with maps of different projection, examining materials related to old maps and books which were written by Jeongho Kim directly or indirectly, and the data sets which were available at the mid nineteenth century and could be used for map production. A couple of map projections are possible to that of Daedongyojido, but TM(Transverse Mercator) projection is one of the closest projections.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.11 no.3
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• pp.29-36
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• 2007

Let T be an ergodic measure preserving transformation on (X, B, ${\mu}$). It is called 2-simple if every 2-fold ergodic joining is either a product measure or an off-diagonal measure. In general, factors of simple maps are not simple. So far, there has been no characterization of the factor of simple maps. In this paper, we give a joining characterization of factors of simple maps.

• Journal of Korea Multimedia Society
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• v.10 no.6
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• pp.699-706
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• 2007

This article is an approach to improving the clustering of Web images by using high-level semantic features from text information relevant to Web images as well as low-level visual features of image itself. These high-level text features can be obtained from image URLs and file names, page titles, hyperlinks, and surrounding text. As a clustering algorithm, a self-organizing map (SOM) proposed by Kohonen is used. To evaluate the clustering efficiencies of SOMs, we propose a simple but effective measure indicating the accumulativeness of same class images and the perplexities of class distributions. Our approach is to advance the existing measures through defining and using new measures accumulativeness on the most superior clustering node and concentricity to evaluate clustering efficiencies of SOMs. The experimental results show that the high-level text features are more useful in SOM-based Web image clustering.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.1
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• pp.52-57
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• 1997

The paper deals with kinematic evaluation of performance of a hydraulic shovel arm for deburrinhg task. First, a new criteria for evaluation is derived to evaluate accuracy of an ene-effector at each position with- in the movable area of the hydraulic shovel arm. Secondly a graphic evaluation system that displays a map of the criteria for evaluation and a map of the manupulability measure is build. Thirdly, by using by using the sas- tem, a hydraulic shovel arm is kinematically evaluated. Finally, from the comparison of the result obtained from the computer simulation and an experimental result, it is indicated that the derived criteria for evalu- ation and the graphic system are useful.