• 대한조선학회 특별논문집
• /
• 대한조선학회 2011년도 특별논문집
• /
• pp.63-69
• /
• 2011

Exhaust gases of a vessel from a main engine, a diesel generator and an incinerator contain very harmful substances like soot, $SO_2$ and NOx. Careful design of funnel shape is required to prevent those harmful exhaust gases from influencing on accommodation and a fan room. Meanwhile, the exhaust gases are also hot enough to damage electronic devices like radar. Therefore the funnel design should be considered so that electronic devices are not directly exposed to the exhaust gas in the strong stern wind. This study may propose guidelines of optimum design criterion for the anti-thermal damage design of the electronic devices and anti-recirculating design of harmful exhaust gas near the accommodation. From CFD analyses, we can understand that the major factors affecting the exhaust gas dispersion are the large scale mixing by separation vortices and the sluggish flow in the recirculation region. We hope that the funnel flow analysis around ship's funnel is used for practical optimum funnel design to minimize the exhaust gas dispersion by adjusting the funnel shape, the position of the exhaust pipe, the shape of bulwark, the exhaust direction of air ventilated an engine room and the angle of the exhaust pipe.

• 센서학회지
• /
• 제17권6호
• /
• pp.406-413
• /
• 2008

We have been implemented simple statistical pattern recognition methods for harmful gases classification using gas sensors array fabricated by MEMS (Micro Electro Mechanical System) technology. The performance of pattern recognition method as a gas classifier is highly dependent on the choice of pre-processing techniques for sensor and sensors array signals and optimal classification algorithms among the various classification techniques. We carried out pre-processing for each sensor's signal as well as sensors array signals to extract features for each gas. We adapted simple statistical pattern recognition algorithms, which were PCA (Principal Component Analysis) for visualization of patterns clustering and MLR (Multi-Linear Regression) for real-time system implementation, to classify harmful gases. Experimental results of adapted pattern recognition methods with pre-processing techniques have been shown good clustering performance and expected easy implementation for real-time sensing system.

• Journal of Animal Science and Technology
• /
• 제66권2호
• /
• pp.237-250
• /
• 2024

The emission of noxious gases is a significant problem in pig production, as it can lead to poor production, welfare concerns, and environmental pollution. The noxious gases are the gasses emitted from the pig manure that contribute to air pollution. The increased concentration of various harmful gasses can pose health risks to both animals and humans. The major gases produced in the pig farm include methane, hydrogen sulfide, carbon dioxide, ammonia, sulfur dioxide and volatile fatty acids, which are mainly derived from the fermentation of undigested or poorly digested nutrients. Nowadays research has focused on more holistic approaches to obtain a healthy farm environment that helps animal production. The use of probiotics, prebiotics, dietary enzymes, and medicinal plants in animal diets has been explored as a means of reducing harmful gas emissions. This review paper focuses on the harmful gas emissions from pig farm, the mechanisms of gas production, and strategies for reducing these emissions. Additionally, various methods for reducing gas in pigs, including probiotic interventions; prebiotic interventions, dietary enzymes supplementation, and use of medicinal plants and organic acids are discussed. Overall, this paper provides a comprehensive review of the current state of knowledge on reducing noxious gas in pigs and offers valuable insights for pig producers, nutritionists, and researchers working in this area.

• 한국인터넷방송통신학회논문지
• /
• 제20권3호
• /
• pp.135-140
• /
• 2020

반도체 공정에서 필수적인 공정가스가 유해가스이기 때문에 이를 친환경적으로 해결하는 것이 필수과제이다. 현재 반도체 공정에서 사용되는 세정기술은 대부분이 1970년대 개발된 과산화수소를 근간으로 하는 습식 세정으로, 표면의 입자를 제거하기 위한 SC-1 세정액은 암모니아와 과산화수소 혼합액을 사용하고 있다. 따라서 환경적 문제를 유발하며, 또한 과도한 용수 사용으로 인한 경제적 문제도 심각하다. 이러한 이유로 본 연구를 통한 개발 제품은 챔버 출구에서 나오는 공정 유해가스를 진공펌프에 입력되기 전 가스를 분해하여 해가 없는 가스로 만들거나 소각과 동시에 펌프에 가스의 성분이 증착되어 반도체 공정의 환경적 문제를 해결하고자 한다. 본 논문에서는 반도제 공정에서 필수 불가결하게 사용되는 유해가스(N2, CF4, SF6⋯. 등)를 사람에게 무해한 가스로 치환하거나 플라스마로 소각하여 환경을 살리고 생산성 향상이 되도록 제안된 CPS (Confined Plasma Source)를 연구하고자 한다.

• Carbon letters
• /
• 제1권1호
• /
• pp.31-35
• /
• 2000

[ $SO_2$ ]and NO gases that come from the flue gases of most of all industrial combustion processes are harmful to everything include person and industrial facilities. For the simplification of the environmental clean-up processes, we studied the decomposition process by microwave. The microwave can destroy molecules into elementary atoms and offers energy to the atoms to react with carbons. Since the microwave is not absorbed into quartz tube and metallic chamber, the air pollution gases can be removed with much lower energy than in the case of conventional methods. We studied the decomposition of $SO_2$ and NO gases on the carbon beds by microwave. In the microwave field, the gases can be decomposed to form other compounds, such as elementary sulfur, nitrogen, carbon monoxide and carbon dioxide. It was found that CO gas is formed at higher temperature than is $CO_2$ gas, so it needs to control the bed temperature depend on products that we want to get.

• 대한안전경영과학회:학술대회논문집
• /
• 대한안전경영과학회 2012년 춘계학술대회
• /
• pp.421-433
• /
• 2012

The objective of this study is to obtain the optimal process condition and the maximum decomposition efficiency by measuring the decomposition efficiency, electricity consumption, and voltage in accordance with the change of the process variables such as the frequency, maintaining time period, concentration, electrode material, thickness of the electrode, the number of windings of the electrode, and added materials etc. of the harmful atmospheric contamination gases such as NO, $NO_2$, and $SO_2$etc. with the plasma which is generated by the discharging of the specially designed and manufactured $TiO_2$ catalysis reactor and SPCP reactor.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2022년도 춘계학술대회
• /
• pp.462-464
• /
• 2022

본 논문은 LabVIEW와 MyRIO를 활용하여 유해가스를 측정하여 원격에서 모니터링에 관한 연구이다. 대다수는 Arduino를 이용한 가스측정은 복수의 센서를 사용하는 데 있어 다소 제한적이다. MyRIO는 복수의 센서를 계측할 수 있어 이를 무선으로 전송하여 LabVIEW를 통해 모니터링하는 방안을 제시하는 바이다.

• 한국산업융합학회 논문집
• /
• 제24권3호
• /
• pp.323-331
• /
• 2021

With global warming and pollution problems, accurate forecasting of the harmful gases would be an essential alarm in our life. In this paper, we forecast the emission of the five gases(SOx, NO₂, NH₃, H₂S, CH₄) using the time series model of ARIMA, the learning algorithms of Random forest, and LSTM. We find that the gas emission data depends on the short-term memory and behaves like a random walk. As a result, we compare the RMSE, MAE, and MAPE as the measure of the prediction performance under the same conditions given to three models. We find that ARIMA forecasts the gas emissions more precisely than the other two learning-based methods. Besides, the ARIMA model is more suitable for the real-time forecasts of gas emissions because it is faster for modeling than the two learning algorithms.

• 한국안전학회지
• /
• 제21권2호
• /
• pp.150-157
• /
• 2006

새건물증후군이란 새로 지은 건물에서 생활하는 사람들에게 눈이 따갑거나 목이나 코가 아프거나, 두통, 구토, 피부발진 등 증상이 나타나는 것을 일컫는 말이다. 새집증후군 원인물질의 주요 성분으로는 건축 자재나 벽지, 페인트, 가구 접착제 등에서 발생되는 포름알데이드(HCHO)와 톨루엔 등 휘발성 유기화합물(VOCs: Volatile Oragnic Compounds), 부유 박테리아, 곰팡이, 바이러스 등이다. 새집증후군을 저감하기 위한 방법으로는 환기에 의한 방법, 오염물질이 없는 친환경 재료의 사용 및 재료의 처리를 통해 오염물질을 저감하고자 제거하는 방법이 있다. 본 연구는 이들 방법 중 건축 재료 위에 표면코팅처리를 함으로써 실내 공기질을 향상시키기 위한 것으로, 건물 내 표면 코팅 전후의 공기질을 분석함으로써 실내 거주환경을 안전하게 조성하는 데 그 목적이 있다.

• 전기학회논문지
• /
• 제59권7호
• /
• pp.1302-1308
• /
• 2010

In this study, Zigbee Sensor Node to transmit harmful gases CO and $CO_2$ information using wireless communication within the ground and underground structures were developed. Wireless communication protocol was used Zigbee Stack included IEEE 802. 15.4 MAC protocol. For wireless transmission of detected harmful gas signal from ADC of MCU was implemented Zigbee Sensor Node that was developed protocol using Serial-Port-Profile(SPP) here. The proposed Zigbee Sensor Node was verified transmission distance from experiments. Transmission distance was into 90m in experiments. Distance experiments were measured at 10m intervals using sine & pulse wave input signal at indoors. The proposed Route Sensor Node was applied mesh routing protocol. When built up USN(Ubiquitous Sensor Network)using Route Sensor Node, transmission distance was not limited. On the experimental results, harmful gas values between direct measurements and USN measurements were consistent. The semiconductor CO sensor and N-DIR $CO_2$ sensor module as a harmful sensor was used. Therefore, the proposed Zigbee Sensor Node was verified about reliability and validity to build USN for transmission of harmful gas information.