• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1998.10a
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• pp.204-209
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• 1998

The creation of favorable water space, in our living circumferential space, is a very important factor to offer rural scenery to neighbor residents. In other to arrange stream landscape, we developed Stream Landscape Simulation System(SLSS). SLSS is combined with image and database rotationally. SLSP system creates composed simulation image overlaying both background and landscape image. This system is to compare and estimate original landscape image with simulated one. SLSP system needs continuing development and buildup of Unified Relational Image Database(mm) to design of various landscape.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.41-47
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• 2006

In this study, the influences of environmentally friendly visual and auditory information on traffic noise perception were surveyed by the using electroencephalogram Green rural region image and CBD image in urban city were used as visual informations. And traffic noise, signal and environmental music were used to detect the impact on electroencephalogram variance. It was revealed that green rural region image caused a-wave ratio increase about 10% and environmental music increased $\alpha$-wave ratio approximately $40{\sim}50%$. The results of this study improved that environmentally friendly visual and auditory information had an effect on decreasing traffic noise loudness to some extents.

• Journal of The Korean Society of Agricultural Engineers
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• v.58 no.1
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• pp.91-97
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• 2016

The objective of this study was to classify between radish and Chinese cabbage in autumn using hyperspectral images. The hyperspectral images were acquired by Compact Airborne Spectrographic Imager (CASI) with 1m spatial resolution and 48 bands covering the visible and near infrared portions of the solar spectrum from 370 to 1044 nm with a bandwidth of 14 nm. An object-based technique is used for classification of radish and Chinese cabbage. It was found that the optimum parameter values for image segmentation were scale 400, shape 0.1, color 0.9, compactness 0.5 and smoothness 0.5. As a result, the overall accuracy of classification was 90.7 % and the kappa coefficient was 0.71. The hyperspectral images can be used to classify other crops with higher accuracy than radish and Chines cabbage because of their similar characteristic and growth time.

• 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.160-167
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• 2007

In this study, the influences of environmentally friendly visual and auditory information on traffic noise perception were surveyed by the using electroencephalogram. Green rural region image and CBD (central business district) image in urban city were used as visual informations. And traffic noise, signal and environmental music were used to detect the impact on electroencephalogram variance. It was revealed that green rural region image caused ${\alpha}-wave$ ratio increase about 10% and environmental music increased ${\alpha}-wave$ ratio approximately $40{\sim}50%$. The results of this study improved that environmentally friendly visual and auditory information had an effect on decreasing traffic noise loudness to some extents.

• Journal of the Korean Institute of Rural Architecture
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• v.7 no.1
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• pp.19-30
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• 2005

This study is carried out to understand the characteristic of location in vernacular agricultural villages by judging from natural environment around the village. For this purpose, there were selected 17 villages of the riverside villages in Geosan Area which lean against Dalchoen River. After classifying these samples by the morphorogical approach, according to compare them with pre-researched villages, the methodology of spatial structure was investigated in agricultural villages. As a result of the study, the relationship between the agricultural villages and the shape of Dalcheon River can be classified by 3 types that are twisted around villages, attacked villages, and paralleled with villages. First of all, twisted type is located in river terraces, river safety zone and taken a image of the riverside agricultural village. Secondary, attacked type is located in beside riffle, and taken a image of a fishing village. Finally, paralleled type is located in straightly flowing river.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.53 no.4
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• pp.404-412
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• 2017

A centrifugal cyclone dust collecting apparatus includes a hydro cyclone dust collecting apparatus for separating solid or liquid using liquid or suspension as a medium. In this study, the formation mechanism and improvement of air core and inner air layer were confirmed through Particle Image Velocimetry. These results showed that the modified experimental model was designed in the conventional method suitable for the separation of juvenile fish and eggs. The inlet speed of the multi-stage hydrocyclone dust collector, which can increase the inlet velocity and minimize floatage in the turbulence chamber, was increased from 0.15 to 0.30 m/s. As a result, the air core was stably formed, the inner air layer was increased with increasing speed. In addition, the dust collecting efficiency of egg and juvenile fish was 97.8% on average, It can infer that this system confirmed the ability to efficiently collect particles of $40{\mu}m$ or more.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11c
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• pp.513-520
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• 2000

An integrated grader which measures soluble solid content, color and weight of fresh apples was developed by NAMRI. The prototype grader consists of the near infrared spectroscopy and machine vision system. Image processing system and an algorithm to evaluate color were developed to speed up the color evaluation of apples. To avoid the light glare and specular reflection, an half-spherical illumination chamber was designed and fabricated to detect the color images of spherical-shaped apples more precisely. A color revision model based on neural network was developed. Near-infrared(NIR) spectroscopy system using NIR reflectance method developed by Lee et al(1998) of NAMRI was used to evaluate soluble solid content. In order to observe the performance of the grader, tests were conducted on conditions that there are 3 classes in weight sorting, 4 classes in combination of color and soluble solid content, and thus 12 classes in combined sorting. The average accuracy in weight, color and soluble solid content is more than about 90 % with the capacity of 3 fruits per second.

• Physical Therapy Rehabilitation Science
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• v.12 no.1
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• pp.72-79
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• 2023

Objective: Despite known associations between negative body image and health declines in chronic pain patients, few studies have examined longitudinal associations between psychological stress and perceived hand deformities. This study examined whether psychological distress was associated with hand deformities 4 years later and if rural and urban adults differed in the association. Design: A community-based cohort study. Methods: Community dwelling adults (mean age=51.97, 52.3% women) in a rural (n=2968) and urban area (n=2784) provided demographic data at baseline and, in the 4-year follow-up, responded to questionnaires about psychological distress. Perceived hand deformities were assessed at the 8-year follow-up. Linear regression was conducted to examine the effects of psychological distress on hand deformities and moderation by residential areas. Results: The perceived hand deformities were more likely among those with severe psychological stress, hand osteoarthritis, or any chronic disease condition (p<0.01) but less likely among those with younger age, higher education, or income (p<0.01). The regression results showed that psychological distress predicted more perceived hand deformities 4 years later even after adjusting for demographic and health covariates (p<0.01). The residential areas did not significantly moderate the association between distress and hand deformities. Conclusions: This study suggected that psychological distress may trigger later perception of hand deformities in both urband and rural adults. The findings indicate that stress management interventions that are customizable to regional contexts may be effective at preventing negative body image related health problems of community-dewelling adults.

• Proceedings of the KSRS Conference
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• v.2
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• pp.647-650
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• 2006

Compact Airborne Spectrographic Imager (CASI) hyperspectral imagery was acquired over the Little Miami River Watershed (1756 square miles) in Ohio, U.S.A., which is one of the largest hyperspectral image acquisition. For the development of a 4m-resolution land cover dataset, a hierarchical approach was employed using two different classification algorithms: 'Image Object Segmentation' for level-1 and 'Spectral Angle Mapper' for level-2. This classification scheme was developed to overcome the spectral inseparability of urban and rural features and to deal with radiometric distortions due to cross-track illumination. The land cover class members were lentic, lotic, forest, corn, soybean, wheat, dry herbaceous, grass, urban barren, rural barren, urban/built, and unclassified. The final phase of processing was completed after an extensive Quality Assurance and Quality Control (QA/QC) phase. With respect to the eleven land cover class members, the overall accuracy with a total of 902 reference points was 83.9% at 4m resolution. The dataset is available for public research, and applications of this product will represent an improvement over more commonly utilized data of coarser spatial resolution such as National Land Cover Data (NLCD).

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.6
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• pp.15-22
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• 2023

In this study, We conduct a comparative study of deep learning-based classification of agricultural field attributes using Tagged Image File (TIF) and Enhanced Compression Wavelet (ECW) images. The goal is to interpret and classify the attributes of agricultural fields by analyzing the differences between these two image formats. "FarmMap," initiated by the Ministry of Agriculture, Food and Rural Affairs in 2014, serves as the first digital map of agricultural land in South Korea. It comprises attributes such as paddy, field, orchard, agricultural facility and ginseng cultivation areas. For the purpose of comparing deep learning-based agricultural attribute classification, we consider the location and class information of objects, as well as the attribute information of FarmMap. We utilize the ResNet-50 instance segmentation model, which is suitable for this task, to conduct simulated experiments. The comparison of agricultural attribute classification between the two images is measured in terms of accuracy. The experimental results indicate that the accuracy of TIF images is 90.44%, while that of ECW images is 91.72%. The ECW image model demonstrates approximately 1.28% higher accuracy. However, statistical validation, specifically Wilcoxon rank-sum tests, did not reveal a significant difference in accuracy between the two images.