• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 춘계학술대회
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• pp.710-715
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• 2004

There are a lot of manholes such as for water supply, sewage, telecommunication cable, traffic sign, electricity supply, and rainwater, etc. Conventional manholes installed on a road are impossible to adjust height, so that they should be entirely excavated to reinstall or repair. This entire excavation of a manhole causes too much time-consuming work, waste of resources, and obstruction of traffic. In this study, in order to solve the above mentioned problems, a cover, outer and inner parts of a manhole are integrated by gear-shaped parts located between outer and inner parts of a manhole. Mechanical design is performed to determine dimension of gear-shaped parts by Taguchi orthogonal array table. Cast molds for a gear-shaped manhole are also manufactured.

• 한국수자원학회논문집
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• 제42권8호
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• pp.673-680
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• 2009

지표수 부족과 수질에 대한 불신 때문에 대체 수자원의 확보가 요구되고 있으며, 유력한 대안으로 강변여과에 관심이 모아지고 있다. 국내 최초의 강변여과는 경남 창원에서 2001년에 시작되었으며, 현재 창원시 수돗물의 100%를 여기에 의존하고 있다. 본 연구는 강변여과 취수장 부근 지하수위를 설명하는 시계열 모형의 개발에 관한 것이다. 연구 대상지역은 창원시 대산면 현장으로 11개 관측정으로부터의 5년간(2003년 1월$\sim$2007년 12월) 지하수위 자료를 이용했다. 지하수위의 장기변동을 알아보기 위해 분단위 자료를 월자료로 변환하고, 결측치를 보완하여 Box-Jenkins 방법에 따라 시계열분석을 실시했다. 대상지역의 지하수위 자료는 계절형 ARIMA 모형으로 잘 설명되는 것이 입증되었다. 본 연구는 향후 증가할 강변여과를 이용한 상수 공급시설의 안정적인 운영을 위해 반드시 필요한 지하수위 예측능력을 확보하기 위한 하나의 원형이 될 것이다.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 동계학술발표대회 논문집
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• pp.345-350
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• 2008

The present study has been conducted to develop a heat recovery system for a 1 MW class gas engine based cogeneration system. In the cogeneration system, heat is recovered from two parts, which are jacket water and exhaust gas. The heat from the jacket water is recovered by a plate type heat exchanger and used for the room heating and/or hot water supply. The heat from the exhaust gas is used to generate steam. For both of the heat recovery devices, 1/5 scaled tests are performed and the data are compared to the conventional correlations for the design.

• Advances in Energy Research
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• 제3권1호
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• pp.59-70
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• 2015

In India, continuous production of electricity and sweet/potable water from Solar power and desalination plant plays a major role in the industries. Particularly in Copper industry, Solar power adopts Solar field collector combined with thermal storage system and steam Boiler, Turbine & Generator (BTG) for electricity production and desalination plant adopts Reverse osmosis (RO) for sweet/potable water production which cannot be used for long hours of power generation and consistency of energy supply for industrial processes and power generation cannot be ensured. This paper presents an overview of enhanced technology for Solar power and Desalination plant for Copper industry making it continuous production of electricity and sweet/potable water. The conventional technology can be replaced with this proposed technique in the existing and upcoming industries.

• Journal of information and communication convergence engineering
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• 제16권4호
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• pp.242-247
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• 2018

The data of K-Water waterworks is collected from various sensors and used as basic data for the operation and analysis of various devices. In this way, the importance of the sensor data is very high, but it contains misleading data due to the characteristics of the sensor in the external environment. However, the cleansing method for the missing data is concentrated on the prediction of the missing data, so the research on the detection and prediction method of the missing data is poor. This is a study to detect wrong data by converting collected data into quintiles and patterning them. It is confirmed that the accuracy of detecting false data intentionally generated from real data is higher than that of the conventional method in all cases. Future research we will prove the proposed system's efficiency and accuracy in various environments.

• 에너지공학
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• 제11권2호
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• pp.106-113
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• 2002

급격히 증가하는 에너지 수요에 비해, 현재 주에너지원인 화석에너지나 원자력은 지구 온난화 및 핵폐기물 등의 환경오염 문제로 인해 그 공급을 계속적으로 증가시키는 데에는 많은 제약을 받고 있다. 이러한 에너지 공급의 한계를 극복하기 위해서는 풍부한 자연에너지를 활용할 필요가 있는데, 최근의 열펌프 기술의 발전과 더불어 하천수·해수 하수처리수 등의 온도차에너지에 대한 미활용에너지의 활용지술의 기대가 크게 증가되고 있다. 따라서 미활용에너지의 활용을 위한 기초자료를 확보하기 위하여 열원별·지역별 미활용에너지의 부존량 및 이용가능량을 조사·산정하고, 미활용에너지의 이용가능성에 대하여 평가하였다.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.132-140
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• 2020

It is very important to use appropriate nutrition water for crop growth in hydroponic farming facilities. However, in many cases, the supply of nutrition water is not designed with a precise plan, but is performed in a conventional manner. We proposes a forecasting technique for nutrition water requirements based on a data analysis for optimal strawberry production. To do this, the proposed forecasting technique uses linear regression for correlating strawberry production, soil condition, and environmental parameters with nutrition water demand for the actual two-stage strawberry production soil. Also, it includes predicting the optimal amount of nutrition water requires according to the heterogeneous cultivation environment and variety by comparing the amount of nutrition water needed for the growth and production of different kinds of strawberries. We suggested study uses two types of section beds that are compared to find out the best section bed production of strawberry growth. The dataset includes 233 samples collected from a real strawberry greenhouse, and the four predicted variables consist of the total amounts of nutrition water, average temperature, humidity, and CO₂ in the greenhouse.

• 한국물환경학회지
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• 제37권4호
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• pp.275-285
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• 2021

Algal bloom is an important issue in maintaining the safety of the drinking water supply system. Fast detection and classification of algae images are essential for the management of algal blooms. Conventional visual identification using a microscope is a labor-intensive and time-consuming method that often requires several hours to several days in order to obtain analysis results from field water samples. In recent decades, various deep learning algorithms have been developed and widely used in object detection studies. YOLO is a state-of-the-art deep learning algorithm. In this study the third version of the YOLO algorithm, namely, YOLOv3, was used to develop an algae image detection model. YOLOv3 is one of the most representative one-stage object detection algorithms with faster inference time, which is an important benefit of YOLO. A total of 1,114 algae images for 30 genera collected by microscope were used to develop the YOLOv3 algae image detection model. The algae images were divided into four groups with five, 10, 20, and 30 genera for training and testing the model. The mean average precision (mAP) was 81, 70, 52, and 41 for data sets with five, 10, 20, and 30 genera, respectively. The precision was higher than 0.8 for all four image groups. These results show the practical applicability of the deep learning algorithm, YOLOv3, for algae image detection.

• 상하수도학회지
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• 제28권2호
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• pp.249-255
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• 2014

So many drinking water treatment plants are under various difficulties by new reinforced effluent standards. Since the target turbidity, much higher than annual average, for designing sludge thickener have to be set to confront high turbidity season, the sludge at thickener should be put up for a long time during usual days. So the soluble manganese and chloroform may be formed under the anaerobic environment in the sludge thickener when the sludge retention time is longer with low turbidity. This phenomenon results in difficulties to keep regulatory level of the discharged effluent. For an effort to overcome the problems, a sludge aeration was successfully implemented into the thickening process. As a result, the final effluent quality and sludge volume were much improved; 41 % of manganese, 62 % of chloroform and 35 % of sludge volume. Additionally, effluent quality was improved ; 61 % of Manganese on aeration with pH control and we could make sure of stability effluent quality despite a long sludge retention time. We recommended the standard of installation sludge aeration equipment to nationally supply water treatment plant under effluent water quality problem ; Manganese, Chloroform, etc.

• 한국조리학회지
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• 제9권4호
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• pp.54-68
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• 2003

This study aims at efficiency of kitchen management by adoption of a systematic central kitchen and conversion of conventional kitchen to convenience kitchen at ' H ' restaurant. First, integrated menu control of banquet buffet functions became more competitive with quality menu and eventually brought about guests satisfaction. Second, systematic central kitchen made possible standardization and mass production through simplified production line. Efficiency through quick service and shortened preparation time was realized, and food materials were recycled effectively at the same time. Integrated ordering lowered purchasing price and built an efficient cost control system. Third, conversion of conventional kitchen to convenience kitchen and strengthened central kitchen system facilitated agreeable work conditions and optimal work flow with butcher's and even sauce making utensils. Fourth, integrated supply system of buffet menu and sauce from western restaurants saved about 520 million won of labor costs. Last, one integrated kitchen out of two was easier in sanitation control with pleasant restaurant space. Sharing kitchen facilities and equipments also saved about 30% of maintenance fee. Power, water, and gas were also saved and eventually curtailed overall expenses.