• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1757-1766
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• 2021

The green coverage ratio is the ratio of the land area to green coverage area, and it is used as a practical urban greening index. The green coverage ratio is calculated based on the land cover map, but low spatial resolution and inconsistent production cycle of land cover map make it difficult to calculate the correct green coverage area and analyze the precise green coverage. Therefore, this study proposes a new method to calculate green coverage area using aerial images and deep neural networks. Green coverage ratio can be quickly calculated using manned aerial images acquired by local governments, but precise analysis is difficult because components of image such as acquisition date, resolution, and sensors cannot be selected and modified. This limitation can be supplemented by using an unmanned aerial vehicle that can mount various sensors and acquire high-resolution images due to low-altitude flight. In this study, we proposed a method to calculate green coverage ratio from manned or unmanned aerial images, and experimentally verified the proposed method. Aerial images enable precise analysis by high resolution and relatively constant cycles, and deep learning can automatically detect green coverage area in aerial images. Local governments acquire manned aerial images for various purposes every year and we can utilize them to calculate green coverage ratio quickly. However, acquired manned aerial images may be difficult to accurately analyze because details such as acquisition date, resolution, and sensors cannot be selected. These limitations can be supplemented by using unmanned aerial vehicles that can mount various sensors and acquire high-resolution images due to low-altitude flight. Accordingly, the green coverage ratio was calculated from the two aerial images, and as a result, it could be calculated with high accuracy from all green types. However, the green coverage ratio calculated from manned aerial images had limitations in complex environments. The unmanned aerial images used to compensate for this were able to calculate a high accuracy of green coverage ratio even in complex environments, and more precise green area detection was possible through additional band images. In the future, it is expected that the rust rate can be calculated effectively by using the newly acquired unmanned aerial imagery supplementary to the existing manned aerial imagery.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.13 no.4
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• pp.75-90
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• 2010

The purpose of this study is to identify landscaping costs for apartment landscapes, landscape facility factors, and the transition of spatial composition for landscapes. In addition, based on the questionnaires and analysis results for workers in related fields such as landscape design companies and construction companies, this study aimed at acquiring results for the development of current apartment landscapes and directions for improvement in the future. Through the results, it aimed at providing basic data for apartment landscapes in the future. Results showed that there was approximately a 2.6 times increase for landscaping expenses of actual apartment landscapes, and a 7.0 to 11.5 times increase in the future can be expected. The cause of such increase is the continuously growing demand for a more pleasant environment. Landscape facilities factors have been diversified, and most facilities are used as multi-purpose spaces rather than serving simple facilities. Questionnaires and field investigations showed that water facilities underwent the biggest changes, and the cause for such changes were found to be the introduction of new facilities such as water facilities and environmental structures, as well as the creation of integrated functions and spaces. Spatial composition for landscapes showed that multi-purpose spaces were established, and for the apartment differentiation strategy, there were many different changes such as theming of green areas and places for exchange among residents. For changes, the most changes were in green areas, and studies also showed that there were many changes for rest areas as well. The cause for such change is judged to have been brought about by the increase of landscape space by placing parking areas underground, and investigations showed that compared to green areas composed of large grass patches, recent apartments are establishing diverse and experience-based green areas.

• Korean Journal of Human Ecology
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• v.23 no.5
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• pp.861-871
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• 2014

This study explored applicability of natural dyeing and functional property of base paper using paper yarn and fabrics with green laver extracts. As a result of measuring dyeability and functional property of cotton, silk, and a blended fabric of cotton/mulberry, $60^{\circ}C$ and 40 minutes was the optimal dyeing condition for the cotton fabric under an alkali condition; $50^{\circ}C$ and 60 minutes for the silk fabric; $60^{\circ}C$ and 50 minutes for the blended fabric of cotton/mulberry. As a result of measuring the color fastness after dyeing cotton, silk and the blended fabric of cotton/mulberry, fastness to washing, water, rubbing, dry cleaning and light was superior. In terms of functional property, the silk and the blended fabric of cotton/mulberry were superior concerning antimicrobial properties of the fabric dyed with green laver extracts while the cotton fabric showed 90% or over. Regarding deodorization, the blended fabric of cotton/mulberry was the most superior. All the fabrics were harmless to the human body as they had heavy metal content below the standard. Considering the research results comprehensively, the green laver extracts possibly has enough applicability and functional property as a natural dyes. Moreover, it has potential to be developed new eco-friendly fashion materials.

• Journal of Biosystems Engineering
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• v.26 no.6
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• pp.571-578
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• 2001

Production of green pepper has increased for ten years in Korea, as customer's preference of a pepper tuned to fiesta one. This study was conducted to develop an on-line fading algorithm of green pepper using machine vision and aimed to develop the automatic on-line grading and sorting system. The machine vision system was composed of a professive scan R7B CCD camera, a frame grabber and sets of 3-wave fluorescent lamps. The length and curvature, which were main quality factors of a green pepper were measured while removing the stem region. The first derivative of the thickness profile was used to remove the stem area of the segmented image of the pepper. A new boundary was generated after the stem was removed and a baseline of a pepper which was used for the curvature determination was also generated. The developed algorithm showed that the accuracy of the size measurement was 86.6% and the accuracy of the bent was 91.9%. Processing time spent far grading was around 0.17 sec per pepper.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4830-4836
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• 2013

This research was launched as an attempt to help create a new value-added product called "Green Jujube Chip." To accomplish the objectives, consumers value by attributes of Green Jujube Chip should be estimated. We used Choice Experiment for analysis, which we used to arrive at pricing of specialty jujube chips based on the conditional logit model. As a result, MWTP were estimated at 1333 Won/unit for Mid-size Company Product, 1752 Won/unit for Large Company Product, 1703 Won/unit for University Affiliation, 350 Won/unit for packing unit, 548 Won/unit for rating the raw fruit, 1,322 Won/unit for HACCP, and 1,166 Won/unit for ISO22000. The consumer's WTP for Green Juju Chip, associated with the university-brand recognition, was higher than a product produced by a mid-sized company but lower than a product by a large company. Given how the consumers regard the university-brand product as a specialty item, it is necessary to create value-added products that meet such high expectation. Therefore, we recommend the producers to acquire HACCP Food Safety Certification and the value-added product has used the highest quality raw fruit.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.73-83
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• 2004

With increasing numbers of vehicles on restricted roads, It happens that we have much wasted time and decreased average car speed. This paper proposes a new concept of coordinating green time which controls 10 traffic intersection systems. For instance, if we have a baseball game at 8 pm today, traffic volume toward the baseball game at 8 pm today, franc volume toward the baseball game will be increased 1 hour or 1 hour and 30 minutes before the baseball game. At that time we can not predict optimal green time Even though there have smart electro-sensitive traffic light system. Therefore, in this paper to improve average vehicle speed and reduce average vehicle waiting time, we created optimal green time using fuzzy rules md neural network as a preprocessing. Also, we developed an Intelligent PLC(Programmable Logic Controller) for real time traffic forecasting as a postprocesing about unexpectable conditions. Computer simulation results proved reducing average vehicle waiting time which proposed coordinating green time better than electro-sensitive franc light system does not consider coordinating green time.

• Journal of Food Hygiene and Safety
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• v.14 no.3
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• pp.238-243
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• 1999

The storage stability from powdered anchovy and its preparation cooperated with three additives (water extract from green tea and boxthorn and BHT) was studied. The results are as follows: 1. When the additives were added to powdered anchovy, the storage stability was improved. The antioxidative activities of water extract from green tea and boxthorn were considerably higher than BHT. The antioxidative activities were decreased in the rank order boxthorn > green tea> BHT. 2. The more the concentration of natural additives was increased, the more the storage stability was improved. The rank order was$60^{\circ}>40^{\circ}>20^{\circ}$ Bx. 3. The A V and POV of powdered anchovy were increased in the rank order to 6 < 12 < 18 < 24 < 30 months by storage term. 4. This clearly suggested that water extract at $20^{\circ}>$ Bx level from boxthorn was possible utilization as a new natural antioxidant for storage stability of powdered anchovy.

• Journal of the Korea Institute of Building Construction
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• v.15 no.4
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• pp.391-396
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• 2015

The demands about eco friendly space are increased as buildings are denser in downtown, and green system on the roof and the artificial ground are widely being applied. The construction of green system applies a waterproof layer, a root barrier and a protection concrete layer. Assembly of these many layers leads to a long construction term, and cause many defects. This study is to evaluate one layer-hybrid sheet which gets waterproof and root barrier performance simultaneously, which is developed to use in the new green system. As results, the performances of physical properties, durability, waterproof and root barrier not only exceeded quality standards but also showed excellent durability. In addition, mock-up test would be proceed to certify long term performance.

• Textile Coloration and Finishing
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• v.8 no.5
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• pp.7-16
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• 1996

The air-flow dyeing machine is a new type of dyeing machine. Which is an energy saving type to be able to dye the fabrics with the lowest liquor ratio and in shorter time. This machine is operated with an aerodynamic system rather than a hyd raulic system for traditional jet or overflow dyeing. An air-flow dyeing machine(Green-flow) by the use of aerodynamic technology was developed and compared with the Luft-roto machine made by Thies Company, Germany, in this study. Three samples were dyed with both machines under the same dyeing conditions and color fastness, dyeing levelness, drapability, and mechanical properties of these samples were compared. The results were as follows; Both machines have almost the same dyeability. The dyeability was good at liquor ratio of 1: 3.5 and the speed of 450yds/min. The order for drapability was Crepe de Chine > Cool Peach > Charmeuse. Except for the color fastness of sublimation being below class 4, most color fastness of samples dyed with Green-flow m/c were above class 4. The maximum speed was 510yds/min. for Crepe de Chine and the standard deviation of K/S value was lower for Charmeuse and Cool Peach when employed on the "Green-flow" machine and lower for Crepe de Chine when employed on the Luft-roto machine. Comparing with dyeing of the Green-flow machine and that of the Luft-roto machine, the RT of the Charmeuse was found to be higher with the Green-flow machine and thus the sample had an improved wrinkle recovery. LT and WT of Cool Peach were higher, and shear properties(G, 2HG, 2HGS) of Crepe de Chine were higher, both turning out as suitable for clothing. clothing.

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.1-26
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• 2021

This paper aims to examine economic values of green spaces for non-Capital areas that have been rarely studied. Choice experiments were applied to two dissimilar but adjoining areas: The City of Jeonju and Wanju County. Split-sample surveys allowed to compare between apartment dwellers and single- or multi-family house dwellers, and across differing types of green spaces. According to the results, significant and substantial preferences might prevail not only for large cities, but also for agricultural areas. The mean willingness-to-pay (WTP) values of apartment dwellers for the view of a river/lake or mountain were generally smaller than those of Seoul, while the overall access values showed the opposite relationships. House dwellers in Jeonju showed substantially larger economic values for green spaces than those of the counterparts in Seoul, except for the access value of a river/lake. The findings grant follow-up studies investigating the reasons for the anomalous preferences particularly in Jeonju and identifying new management policies for non-Capital areas.