• Electronics and Telecommunications Trends
• /
• v.28 no.2
• /
• pp.11-19
• /
• 2013

탄소 배출을 완화하려는 국제적인 노력 중의 일환으로, 전력 시스템에 ICT 기술을 접목시켜 전력 공급자와 소비자 간에 양방향으로 실시간 정보를 교환함으로써 에너지 효율성을 제고시키기 위한 스마트그리드가 최근 각광받고 있다. 그 중에서도 AMI(Advanced Metering Infrastructure) 및 HEMS(Home Energy Management System) 구축은 국내에서도 가장 먼저 수행되고 있는 스마트그리드 관련 사업 중의 하나이다. 이 사업을 위해 필요한 기술로는 관련 서비스 제공을 위한 스마트 에너지 프로파일 2.0, 다수의 장치 간 네트워크 구성을 위한 ZigBee IP, 마지막으로 장치들에 내장되어 제어를 담당하는 임베디드 운영체제 등이 있다. 본고에서는 이러한 세 가지 요소 기술의 현황에 대해 하나씩 살펴보도록 한다.

• Spatial Information Research
• /
• v.22 no.1
• /
• pp.9-17
• /
• 2014

This study was intended to reliably predict the traffic green house gas emission in Daegu with the use of spatial statistical technique and calculate the traffic green house gas emission of each administrative district on the basis of the accurately predicted emission. First, with the use of the traffic actually surveyed at a traffic observation point, and traffic green house gas emission was calculated. Secondly, on the basis of the calculation, and with the use of Universal Kriging technique, this researcher set a suitable variogram modeling to accurately and reliably predict the green house gas emission at non-observation point suitable through spatial correlation, and then performed cross validation to prove the validity of the proper variogram modeling and Kriging technique. Thirdly, with the use of the validated kriging technique, traffic green gas emission was visualized, and its distribution features were analyzed to predict and calculate the traffic green house gas emission of each administrative district. As a result, regarding the traffic green house gas emission of each administration, it was found that Bukgu had the highest green house gas emission of $291,878,020kgCO_2eq/yr$.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.24 no.1
• /
• pp.48-61
• /
• 2022

South Korea is quite vegetation rich country which has 63% forests and 16% cropland area. Massive NOx emissions from megacities, therefore, are easily combined with BVOCs emitted from the forest and cropland area, then produce high ozone concentration. BVOCs emissions have been estimated using well-known emission models, such as BEIS (Biogenic Emission Inventory System) or MEGAN (Model of Emission of Gases and Aerosol from Nature) which were developed using non-Korean emission factors. In this study, we ran MEGAN v2.1 model to estimate BVO Cs emissions in Korea. The MO DIS Land Cover and LAI (Leaf Area Index) products over Korea were used to run the MEGAN model for June 2012. Isoprene and Monoterpenes emissions from the model were inter-compared against the enclosure chamber measurements from Taehwa research forest in Korea, during June 11 and 12, 2012. For estimating emission from the enclosed chamber measurement data. The initial results show that isoprene emissions from the MEGAN model were up to 6.4 times higher than those from the enclosure chamber measurement. Monoterpenes from enclosure chamber measurement were up to 5.6 times higher than MEGAN emission. The differences between two datasets, however, were much smaller during the time of high emissions. More inter-comparison results and the possibilities of improving the MEGAN modeling performance using local measurement data over Korea will be presented and discussed.

• Environmental and Resource Economics Review
• /
• v.19 no.1
• /
• pp.81-100
• /
• 2010

This paper measures the impacts of the Korea-China Free Trade Agreement (FTA) on the emissions of carbon dioxide ($CO_2$) in Korean export industries. The Korean industrial exports were forecasted by employing Bayesian Kalman Filter Vector Auto-Regression (BVAR) model. The emissions of $CO_2$ were then estimated by applying the $CO_2$ emission coeffcients on the conditionally forecasted values of export by industries. Under the conditional scenario of the 50% reduction in current tariff rate through FTA between Korea and China, the total $CO_2$ emissions in Korea were expected to increase by 1.96% compared to the BAU (Non FT A) trend at the end of 2010. Another conditional scenario with no tariff after 2012 was also adopted. In this case, the total $CO_2$ emlssions were estimated to increase by 2.06% compared to the BAU up until the end of 2014. These facts imply that the FTA between Korea and China would not result in the significant increase of $CO_2$ emissions in Korea.

• Proceedings of the KAIS Fall Conference
• /
• 2011.05a
• /
• pp.347-350
• /
• 2011

본 논문에서는 습식식각 설비의 Process 동작 간에 발생되는 설비의 비 가동 시간을 최소화하여 Throughput을 향상시키기 위하여 Monitoring 한 결과 Recipe 변경, 액 교환 발생, Tact 변경 등의 공정간 조건에 따라 대기시간이 발생(생산 지연시간 발생) 하는 것을 확인 하고 이를 개선하기 위한 연구이다. 연구 방법으로, Recipe Data 적용 시점을 약액 구간 처리 완료 시점에서 후속 기판이 대기하지 않고 연속 투입을 실시, Chamber Drain과 약액 Tank 전환이 동시에 이루어지고 액 교환 동작 중 Pump Spray의 연속성을 유지하는 무정지 액 교환 Sequence 적용, Tact 적용 시점을 전 기판 배출 확인 후 실시하는 것을 약액 구간 처리 완료 후 적용의 3가지 방법을 6시그마의 DMAIC 기법을 활용하였다. 연구 결과 개선 전 비 가동 시간이 설비 대당 1일 28분 시그마 Level 3.40 이었던 것을 개선 후 설비 대당 1일 17분 시그마 Level 5.3 으로 개선됨을 확인 할 수 있다.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.35 no.4
• /
• pp.409-416
• /
• 2011

A mobile emission laboratory (MEL) was designed to measure the amount of traffic pollutants with high temporal and spatial resolution under real conditions. Equipment for gas-phase measurements of quantity of CO, NOx, $CO_2$, and THC and for the measurement of the number density and size distribution of fine and ultra-fine particles by a FMPS and a CPC were placed in a mini-van. The exhaust of different type of vehicles can be sampled by MEL. This paper describes the construction and technical details of the MEL and presents data from the experiment in which a car chases city buses fuelled by diesel, CNG, and LPG. The diameters of most particles in the exhaust of the diesel city bus were less than 300 nm and most of the particles had a diameter of 30-60 nm. However, most particles in the exhaust of the CNG and LPG city buses were nanoparticles (diameter: less than 50 nm).

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06c
• /
• pp.1-4
• /
• 2011

악취 유발 사업장 및 지자체에서 사용하고 있는 악취 관리 모델링 시스템의 핵심 모듈을 최근 Intel에서 발표한 멀티코어(multi-core) 기술과 OpenMP 기술을 이용하여 고성능 병렬처리에 의한 실시간 시스템으로 개선하였다. 기존의 기상 모델인 CALMET 모델과 대기질 모델인 CALPUFF 모델은 배출원 갯수와 모델링 영역의 격자 갯수 증가에 따라 모델링 수행 시간이 기하급수적으로 증가한다. 악취는 그 특성상 모델링 수행시간을 짧게 할수록 악취모델링 결과를 효과적으로 사용할 수 있다. 따라서 모델링 수행시간을 단축하기 위해 여러 개의 CPU Core를 동시에 사용하여 병렬로 작업을 처리하는 멀티코어 기술을 접목하여, 기존의 CALPUFF를 실시간 모델링이 가능한 고성능 모델링 시스템으로 개발하였다. 실험 결과 Core의 수가 증가하면 Amdahl의 법칙에 준하여 가속화되었다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2008.05a
• /
• pp.987-990
• /
• 2008

센서 데이터들을 실제 IT 환경 하에서 데이터 처리하기 위해서 네트워크 인프라 환경으로 USN(Ubiquitous Sensor Network) 환경이 많이 연구되어지고 있다. 이들 환경은 온도, 소리, 진동, 습도등 생활 주변의 정보를 수집하여 이에 발생된 데이터들을 특정 시스템에서 처리하여 주변상황 상태등을 인식 및 관리를 하는데 목적을 둔다. 기존 USN 기술은 주로 네트워킹 관점의 연구가 활발히 수행되어지고 있다. USN은 미래 유비쿼터스 사회를 위한 기반 인프라로 국가적으로 기술 개발을 추진 중에 있으며 다양한 시범 서비스를 추진 중에 있다. 최근에는 환경, 에너지 등의 미래 신 성장 산업 분야에서 환경문제를 해결할 수 있는 기술 개발을 전략적으로 추진 중에 있다. 본 논문에서는 다양한 건축자재 및 생활 용품에서 배출되고 실내공간, 사무실, 주거지 등 일반 환경에서 보편적으로 존재하는 인체유해물질인 포름알데히드(HCHO) 오염농도를 수집 할 수 있는 센서네트워크 환경을 구축하고 수집된 HCHO 센서 데이터들을 이용하여 주변 사람들에게 위험정보를 제시하는 한 시스템으로 ET-IT 융합 시스템인 실시간 모니터링 시스템을 제시한다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.12B
• /
• pp.1708-1721
• /
• 2011

Recent outbreak of cattle diseases such as foot-and-mouth disease(FMD) requires constant monitoring of burial sites of mass cull of cattles. However, current monitoring system takes environmental samples from burial sites with period of between one and two weeks, which makes it impossible for non-stop management of hazardous bio-waste. Therefore, in this study, we suggest an improved real-time environmental monitoring system for such bio-hazardous sites based on wireless sensor networks, which makes constant surveillance of the FMD burial sites possible. The system consists mainly several wireless environmental monitoring sensors(i.e dust, Co2, VOC, NH3, H2S, temperature, humidity) nodes and GPS location tracking nodes. Through analysis of the relayed of the environmental monitoring data via gateway, the system makes it possible for constant monitoring and quick response for emergency situation of the burial sites. In order to test the effectiveness of the system, we have installed a set of sensor to gas outlets of the burial sites, then collected and analyzed measured bio-sensing data. We have conducted simulated emergency test runs and was able to detect and monitor the foul smell constantly. With our study, we confirm that the preventive measures and quick response of bio environmental accident are possible with the help of a real-time environmental monitoring system.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.19 no.5
• /
• pp.531-537
• /
• 2013

In this study, we conducted real-time measurement at the ship arrivals and departures at the port and at a constant speed of 150 rpm for exhaust emissions from a main engine installed on the training ship, HANBADA, of Korea Maritime University. The result showed that the concentration of nitrogen oxide was measured in the range of 800 ppm to 1,000 ppm at constant speed mode. On the other hand, the concentration of nitrogen oxide during ship arrivals and departures was significantly fluctuated between 210 ppm and 1,230 ppm. And, the concentration of carbon oxide at the arrivals and departures was also larger than that of at constant speed mode. These results show that the ship maneuvering skills to prevent a sudden load change of main engine at the arrivals and departures of ship is needed. Additionally, it means that the difference of exhaust emissions generated between the constant speed mode and the arrival/departure has to be considered when invented many technologies are adopted into the reduction technologies of air pollutants from ships.