• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 1994년도 춘계학술대회 논문집
• /
• pp.429-433
• /
• 1994

Electrostatic precipitator is the equipment that separates dust particles from the gas in which they are susponded. Specially, in establishing industrial electrostatic precipitatior, corparations would send to a customer technical papers to accept an order. And, they design detail drawing after accept an order. Then, since the basic technical design of electrostatic precipitator is very complex, it takes long time. Thus, for competitiveness in these industries, the developement of software about technical design is important. In this study, the developed software is called 'KOCO', the simpler form for KOrea Cottrell Co. Ltd., deals with a basic technical design of industrial electrostatic precipitator. From using the software, design time was veryshort, design errors reduced largely, and the standardization of design could be carried out.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
• /
• pp.361-364
• /
• 2006

현대에 들어 대기 오염의 심각성이 계속적으로 보도되고 있으며 많은 기업들이 이를 위해 산업현장에서 발생하는 대기 오염 물질의 배출을 극소화 하기 위해 많은 친환경적 노력을 기울이고 있다. 이러한 시대적 흐름에 발맞추어 대규모 공장에서는 고가의 분진 집진 시스템을 도입하여 친환경적인 기업으로 성장하고 있다. 반면 대부분의 중소 규모의 공장에서는 고가의 분진 집진 시스템을 제정적인 문제로 인하며 도입하기에 어려운 실정이다. 이러한 중소규모의 생산 환경의 문제점을 해결하고자 본 논문에서는 3단 여과 시스템과 최근 각광을 받고 있는 센서 네트워크로부터 얻어지는 환경정보를 이용하여 분진 및 다양한 형태의 오염원을 선택적으로 제어함으로써 집진 효율을 극대화 시킬 수 있는 센서 네트워크 기반 지능형 집진 시스템을 제안하고자 한다.

• 한국기계가공학회지
• /
• 제11권4호
• /
• pp.111-117
• /
• 2012

Dust collecting performance of axial-vane type cyclone for oil mist was analyzed in this study. For predicting cut diameter size of cyclone, the number and angle of vane ($tan{{\beta}_2}^{\prime}$) was simulated by CFD. As the result, $tan{{\beta}_2}^{\prime}$ was decreased as the number of vane was increased and the angle of inclination(${{\beta}_2}^{\prime}$) decreased, and it cause strong swirl flow. Therefore, it could be confirmed that as the number of vane was increased and the angle of inclination was decreased, cut diameter size was decreased. Also, by verifying the results of CFD through experiment, the cut diameter size could be $2{\mu}m$ at $4m^3/min$ of flow rate.

• 천문학회지
• /
• 제50권4호
• /
• pp.131-138
• /
• 2017

We present a new catalog of AGB stars based on infrared two-color diagrams (2CDs) and known properties of the pulsations and spectra. We exclude some misclassified objects from previous catalogs. We identify color areas in two IR 2CDs where most O-rich and C-rich objects listed in previous catalogs of AGB stars are found. By collecting new objects in these color selection areas in the two IR 2CDs, we find candidate objects for AGB stars. By using the color selection method, we identify 3996 new objects in the O-rich areas, 1487 new objects in the C-rich areas, and 295 new objects in the overlap areas of the two 2CDs simultaneously. We have found that 470 O-rich and 9 C-rich objects are Mira variables with positive spectral identification and they are newly identified AGB stars. We present a new catalog of 3828 O-rich AGB stars and 1168 C-rich AGB stars excluding misclassified objects and adding newly identified objects.

• 농촌계획
• /
• 제25권3호
• /
• pp.11-18
• /
• 2019

It is widely known that agricultural plastic waste incineration by farmers may cause big forest fire or fine dust in rural areas. Hence, how to increase the rate of collection and recycling of the agricultural plastic waste is of concern to policy makers especially for rural environment. The purpose of this study is to find the determinants of the collection rate of agricultural plastic waste. This study used the data from 'Research on Agricultural Waste' by the Korea Environment Corporation from year 2012 to 2015 for 163 regions. This study found that the compensation rate for collection, the frequency of collecting services, and the quality of waste are important to increase the collection rate. And the regions with more elderly and low income people are more likely to have higher collection rate. Finally, the chief producing regions that are specialized in a certain crop shows higher collection rate.

• Journal of information and communication convergence engineering
• /
• 제20권2호
• /
• pp.125-130
• /
• 2022

In modern society, as many data are used for research or commercial purposes, the value of data is gradually increasing. In related fields, research is being actively conducted to collect valuable data, but it is difficult to collect proper data because the value of collection is determined according to the performance of existing sensors. To solve this problem, a method to effectively reduce noise has been proposed, but there is a point in which performance is degraded due to damage caused by noise. In this paper, a device capable of collecting time series data was designed to correct such data noise, and a correction technique was performed by giving an error value based on the representatively collected ultrafine dust data, and then comparing before and after Compare performance. For the correction method, Kalman, LPF, Savitzky-Golay, and Moving Average filter were used. Savitzky-Golay filter and Moving Average Filter showed excellent correction rate as an experiment. Through this, the performance of the sensor can be supplemented and it is expected that data can be effectively collected.

• 한국환경보건학회지
• /
• 제32권1호
• /
• pp.8-18
• /
• 2006

The aim of this study is to evaluate the emission characteristics of mercury, lead, arsenic, and selenium from medium size municipal solid waste incinerators(MSWIs) in Korea. The concentrations of mercury, lead, arsenic, and selenium emitted from medium size MSWI stack were $2.67\;{\mu}g/Sm^3,\;0.38\;mg/Sm^3,\;1.33\;{\mu}g/Sm^3,\;0.28\;{\mu}g/Sm^3$, respectively. The concentration levels of mercury, lead, arsenic in flue gas from medium size MSW incinerator stacks selected were nearly detected under the Korea criteria level. Removal efficiencies of mercury, lead, arsenic, and selenium in waste heat boiler(WHE) and cooling tower(CT) were $90.36\%,\;69.76\%,\;43.04\%,\;40.64\%$, respectively. In general, the removal efficiencies of mercury and lead in WHE were higher than those of arsenic and selenium in WHE. Emission gas temperature reduction from waste heat boiler(WHB) and cooling tower(CT) can control mercury and lead of medium size MSWIs. To evaluate the relationship between mercury, lead, arsenic, selenium of fly ash and those of flue gas, it was carried out to correlation analysis of each metal concentration in the fly ash and in the flue gas from medium size MSWIs. From the correlation analysis, the coefficients of mercury, lead, arsenic, and selenium were 0.61, -0.38, 0.87, 0.28, respectively. The results of correlation analysis revealed that it should be highly positive to the correlation coefficients of mercury and arsenic in the fly ash and those of the flue gas emitted from medium size MSWIs. As it were, the concentrations of mercury and arsenic of flue gas from medium size MSWIs are high unless mercury and arsenic in fly ash are properly controlled in dust collection step in medium size MSWIs. It was also concluded that mercury, lead, arsenic, and selenium from MSWIs stacks could be controlled by waste heat boiler(WHE) and dust collecting step in medium size MSWIs.

• 한국멀티미디어학회논문지
• /
• 제12권11호
• /
• pp.1629-1639
• /
• 2009

본 논문은 지하철 역사의 쾌적한 환경 유지를 위한 USN 기반의 환경 모니터링 시스템에 관한 내용을 수록하고 있다. 개발된 시스템은 통합 센서 장비 기반의 센서 필드, 측정된 센서 장비의 데이터를 수집, 분석, 저장하는 미들웨어, 수집된 데이터를 사용자에게 서비스하는 로컬 및 웹 기반 모니터링 시스템으로 구성되어 있다. 본 논문에서는 환경 측정을 위해 온/습도, 미세먼지 센서와 선로의 청결 유지 관리를 위한 물탱크의 수위 레벨 센서를 기본적인 실험환경으로 구성하였고, 기존 설치된 센서와의 연동을 위한 4~20mA의 아날로그 센서와 지그비(Zigbee) 기반 센서 네트워크 장비인 Telos-b를 연동한 장치로 구성하여 현장에 기 구축된 센서의 재사용이 가능하도록 하였다. 미들웨어는 멀티 홉 센서 네트워크를 통한 데이터 수집과, 수집된 데이터를 분석, 저장하는 기능을 내장하였고, 모니터링 시스템은 상황실을 위한 로컬 모니터링과 원격지에서의 웹 기반 모니터링을 지원한다. 본 논문에서 제안하는 미들웨어와 모니터링 시스템은 컴포넌트 형태로 구성되어 개발된 센서의 종류가 변경되거나 응용 프로그램의 목적이 변경되어도 재사용할 수 있는 장점을 가진다. 개발된 시스템은 기존의 PLC 기반의 시스템과 비교하였을 때, 센서 장치의 이동성과 시스템의 분산 환경을 지원하고 미들웨어에서 지원하는 데이터 수집 및 관리 기능은 각종 통계자료로 활용이 가능하다.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
• /
• 제50권12호
• /
• pp.624-630
• /
• 2001

The trend of the regulations on environmental issues are getting tight. Responding to this trend new technologies such as moving electrodes, wide pitch and pulsed power supply are also introduced in the electrostatic precipitator(EP) systems. The introduction of wide pitch and moving electrodes enhances the system performance of the EPs by improving air-flow and by improving the ash reentrainment on rapping. The power supplies for the EPs developed up to date include thyristor-based dc or intermittent type, SMPS(switching mode power supply) type and the pulsed-power supply type. The use of the pulsed ones is known to improve dust-collecting efficiency of high resistivity ash and reduces back corona occurrence in the collecting plate. There are two kinds of pulsed-power supplies; one with pulsed transformers and the other with direct dc switching devices. The latter uses rotary spark gap switches or semiconductor switches. Both have the merits and demerits: the spark gap switches are simple and robust but has short life time, hence, high maintenance cost, whereas the semiconductor switches have long life time but are costly. In this study, A high voltage power supply with superimposing voltage pulse on dc source was developed for EPs. This study describes circuit topology, operating principle of the scheme, and analysis of experimental results on Dong-Hae Power Plant. The pulsed power supply consists of a variable dc power supply with ratings of 60kV, 800mA and pulse generator which is made of high voltage thyristor-diode switch strings, an LC resonant tank and a blocking inductor. The pulse generator generates variable pulse-voltage up to 70kV using a high frequency resonant inverter with a variable dc source. Two prototypes were built and tested on 250MW DongHae power plant to verify the possibility of the commercial use and the normal operation in the transient states.

• 문화기술의 융합
• /
• 제9권6호
• /
• pp.301-307
• /
• 2023

딥러닝은 심층신경망(Deep Neural Network)을 구축하고 대량의 훈련 데이터를 수집한 후, 구축된 신경망을 오랫동안 학습 시켜야 한다. 만약, 학습이 제대로 진행되지 않거나 과적합이 발생하면, 학습은 실패하게 된다. 현재까지 개발되고 있는 딥러닝 도구들을 사용할 경우, 훈련데이터 수집과 학습에 많은 시간이 소요된다. 하지만, 모바일 환경의 급격한 도래와 센서 데이터의 증가로 인해, 신경망 학습에 걸리는 시간을 획기적으로 줄일 수 있는 실시간 증강형 딥러닝 기술에 대한 요구가 급격하게 증가하고 있다. 본 연구에서는 미세먼지 센서를 장착한 아두이노 시스템을 사용하여 실시간 증강형 딥러닝 시스템을 구현 하였다. 구현된 시스템에서는 미세먼지 데이터를 5초마다 측정하고 최대 120개가 축적이 되면, 기존에 축적된 데이터와 새로이 축적된 데이터를 데이터셋으로 사용하여 학습을 수행하도록 하였다. 학습 수행을 위한 신경망은 입력층 1개, 은닉층 1개, 출력등 1개로 구성하였다. 구현된 시스템에 대한 성능을 평가하기 위해 학습 시간과 평균 제곱근 오차(root mean square error, RMSE)를 측정 하였다. 실험 결과, 평균 학습 오차는 0.04053796이었으며, 학습주기당(1 에포크) 평균 학습 시간은 3,447 초 정도의 시간이 걸렸다.