• Journal of Fisheries and Marine Sciences Education
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• v.28 no.2
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• pp.376-383
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• 2016

In this paper, the blue-green algae monitoring program of applying IoT(Internet of things) technologies is designed and implemented that can check out the status of the river's water quality in real time. The proposed system is to extract the image data from the camera of raspberry pi by an wireless network, and it is analyzed through the HSV color model. We measure the temperature using a DS18B20 1-wire temperature sensor. The extracted information of image data and temperature is then analyzed in C and Python programs for use with Raspberry Pi. The XML data in PHP program is made from the analyzed information and provides Web services. It also allows to refer the XML data using mobile devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.553-555
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• 2015

In this paper, we proposed the blue-green algae monitoring system using the HSV(Hue Saturation Value) color model. The proposed system is to extract the image data from the camera of raspberry pie server by an wireless network, and it is analyzed through the HSV color model. We implemented a web server to provide the information of the XML data which was analyzed from the raspberry pie server. Also, the mobile app was developed to view the XML data on smart devices.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.5
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• pp.471-476
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• 2010

In this paper, we propose an effective method that recognizes the vehicle license plate using RGB color information and back-propagation neural network algorithm. First, the image of the vehicle license plate is adjusted by the Mean of Blue values in the vehicle plate and two candidate areas of Red and Green region are classified by calculating the differences of pixel values and the final Green area is searched by back-propagation algorithm. Second, our method detects the area of the vehicle plate using the frequence of the horizontal and the vertical histogram. Finally, each of codes are detected by an edge detection algorithm and are recognized by error back-propagation algorithm. In order to evaluate the performance of our proposed extraction and recognition method, we have run experiments on a new car plates. Experimental results showed that the proposed license plate extraction is better than that of existing HSI information model and the overall recognition was effective.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.5
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• pp.53-63
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• 2009

This study aims at presenting a plan to build an open space network system in the city of Daejeon, assuming that parks and the green space system as a broad concept are to make a network by connecting open spaces such as parks, green spaces, squares, pedestrian roads, historical spots, etc. In the case of old downtown in Daejeon, this study examined the possibility of applying an open space network in the city of Daejeon and categorize them according to the findings from examining the case area, which enables to make a plan for building an open space network system in Daejeon. As a result, public offices and business buildings as an active open space have public open spaces in front of buildings and these front public open spaces are connected to pedestrian roads(gray open space). Since these pedestrian roads are consequently connected to large parks and rivers(green or blue open space), this overall spatial sequence can form an open space system. In addition, parks and green spaces, which have been fundamental elements so far, exist in relatively small and scattered areas at the center of the city. Hence, more parks and green space are needed to improve a park and green space system. However, it is very difficult to create new parks and green spaces in downtown, especially in old downtown areas. Therefore making an open space network system which spreads out over the whole city will form a healthy open space network in the downtown area.

• Agricultural and Biosystems Engineering
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• v.3 no.1
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• pp.18-28
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• 2002

Neural network based models were developed and evaluated for predicting corn yield from aerial images based on 1998 and 1994 image data. The model used images in multi-spectral bands such as R, G, B, and IR (Red, Green, Blue and Infrared). The inputs to the neural network consisted of mean and standard deviation of multispectral bands of the aerial images. Performances of several neural network architectures using back-propagation with momentum were compared. The maximum yield prediction accuracy obtained was 97.81%. The BPNN model prediction accuracy could be enhanced by using more number of observations to the model, other data transformation techniques, or by performing optical calibration of the aerial image.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.367-370
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• 2016

QFN(Quad Flat No-leads package) is one of the SMD(Surface Mount Device). Since there is no lead in QFN, there are many defects on solder. Therefore, we propose an efficient mechanism for QFN solder defect detection at this paper. For this, we employ Convolutional Neural Network(CNN) of the Machine Learning algorithm. QFN solder's color multi-layer images are used to train CNN. Since these images are 3-channel color images, they have a problem with applying to CNN. To solve this problem, we used each 1-channel grayscale image(Red, Blue, Green) that was separated from 3-channel color images. We were able to detect QFN solder defects by using this CNN. Later, further research is needed to detect other QFN.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.468-468
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• 2021

도시의 개발은 불투수면의 증가, 토지이용의 변화, 용수 수요 증가를 초래하였고, 최근에는 기후변화 양극화 현상으로 도심내 물순환체계를 더욱 왜곡시키는 문제를 초래하였다. 1962년부터 서울의 도심지가 본격적으로 개발되기 시작하면서 7.8%였던 불투수율이 2010년에는 50%까지 증가하였다. 토지의 피복상태가 숲과 흙일 때는 강우의 10%는 하천으로, 토양 흡수는 50%, 증발이 40%가량 된다. 보통 토양에 흡수된 물은 토양층에서 머물렀다가 중간유출되어 하천으로 유입되거나 지하수로 전환된다. 그러나 개발로 인하여 아스팔트나 콘크리트로 포장된 경우 55%가 하천으로 유입되고 토양으로 흡수되는 양은 15% 정도로 강우가 급격하게 유출되어 빠져나가 버린다. 도시 불투수면적의 증가는 단순히 치수와 이수의 문제뿐만 아니라 도심의 하천 및 녹지공간에 조성되어 있는 생태계 유지에 필요한 최소한의 수량인 생태용수 확보마저 위협하고 있다. 도심 하천의 환경생태유량 확보는 하천의 정상적인 기능을 유지할 뿐만 아니라 하천의 자정 능력을 향상하며, 수생생물의 서식환경을 보존에 기여하므로 도심의 자연성 회복에 있어 매우 중요하다. 도시 생태환경은 녹지의 단절과 파편화로 연속성을 확보하지 못하고 있는데, 이렇게 단절되고 파편화된 생태계를 연결하여 생태축을 확보하면 도시 생태계의 건강성을 증진시킬 수 있다. 대부분의 도시에서 관리하고 있는 가로수 및 띠녹지 등 녹지공간(그린 네트워크, Green Network)을 활용하여 수원 함양이나 수질정화 기능(블루 네트워크, Blue Network)을 부여하면 녹지와 수자원을 연결한 그린-블루 네트워크를 형성하여 도시 생태용수확보에도 기여할 뿐만 아니라 나아가 도심 하천의 자연성 회복에도 기여할 것으로 기대된다. 본 연구는 도시의 가로수와 띠녹지를 활용하여 빗물저장 기능과 침투기능을 확대하기 위해 기존에 녹지 및 공원 관리 차원에서 가로수 도시계획이 수립되고 관련 사업이 진행되어 온 현행 제도상의 문제점을 검토하여 제도적 개선 방안을 제안하는 것에 목적을 둔다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.7
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• pp.1513-1517
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• 2005

In this paper, I make use of a Multi-Channel skin color model with Hue, Cb, Cg using Red, Blue, Green channel altogether which remove bight component as being consider the characteristics of skin color to do modeling more effective to a facial skin color for extracting a facial area. 1 used efficient HOLA(Higher order local autocorrelation function) using 26 feature vectors to obtain both feature vectors of a facial area and the edge image extraction using Harr wavelet in image which split a facial area. Calculated feature vectors are used of date for the facial recognition through learning of neural network It demonstrate improvement in both the recognition rate and speed by proposed algorithm through simulation.

• Applied Chemistry for Engineering
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• v.20 no.6
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• pp.681-684
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• 2009

The turbidity of flow type samples has a nonlinear relation to brightness of laser scattered light, but the shape of images in laser scattered light is different from each turbidity samples. The turbidity measurement will be easy if it uses a pattern of images in laser scattered light. But the excessive analysis load comes from the turbidity measured by red, green, blue intensity (intensity) of all pixels of images in laser scattered light. Therefore the images in laser scattered light were divided by appropriate block to decrease excessive analysis load. The shape of divided images in laser scattered light was different from each turbidity sample. The real turbidity has a linear relation to turbidity measured by the artificial neural network learned with the intensity of divided images in laser scattered light and turbidity.

• Ecology and Resilient Infrastructure
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• v.6 no.1
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• pp.69-76
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• 2019

Ecosystem services are contributing to human welfare by enabling us to maintain our survival and quality of life. A metod of quantifying ecological functions is needed. We discussed the introduction and applications of ecosystem services to applied ecological engineering. The concept and assessment system of ecosystem services were applied to the economic valuation of river, the construction of blue-green-white network in urban area, ecological restoration, and integrated water management in Korea. The conceptual framework and assessment of ecosystem services can be used to promote value of ecological protection and restoration, helping stakeholders understand the benefits of ecosystems and increasing applications of the applied ecological engineering.