• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2004년도 춘계학술대회논문집
• /
• pp.780-783
• /
• 2004

Recently Intake noise has been extensively studied to reduce the engine noise. In order to diminish intake noise several resonators were added to the intake system. However this can cause a reduction of engine output power and an increase of fuel consumption. In this study, active noise control simulation of the Filtered-x LMS algorithm is applied real instrumentation intake noise data under rapid acceleration because intake noise is more excessively increased under the such a harsh condition. But the FXLMS algorithm has poor control performance when the system is disturbed. Thus modified FXLMS algorithm using L-point running average filter is developed to improve the control performance under the rapid acceleration and disturbance. The noise reduction quantity of modified Filtered-x LMS algorithm is more than original one in two cases. In the case of control for real instrumentation intake noise data, maximum residual noise of modified FXLMS algorithm is 2.5 times less than applied the FXLMS and also in the case of disturbed, the modified FXLMS algorithm shows excellent control performance but FXLMS algorithm cat not control.

• Journal of Korean Society for Atmospheric Environment
• /
• 제21권E2호
• /
• pp.41-48
• /
• 2005

A novel hybrid system composed of a biotrickling filter and an activated sludge reactor was investigated under the conditions of four different SRTs (sludge retention times). The performance of the hybrid reactor was found to be directly comparable among the four different sludge ages. Discernible differences in the removal performance were observed among four different SRTs of 2, 4, 6, and 8 days. High removal efficiency was achieved by continuous circulation of activated sludge over the immobilized mixture culture, which allowed on pH control, addition of nutrients, and removal of paint VOCs (volatile organic compounds). The results also showed that the removal efficiency for a given pollutant depends on the activity of microorganisms based on the SRT. As the SRT increased gradually from 2 to 8 days, the average removal performance decreased. The highest removal rate was achieved at the SRT of 2 days at which the highest OUR (oxygen uptake rate), $6.1mg-O_2/liter-min$ was measured. Biological activity in the recycle microbes decreased to a much lower level, $3.6mg-O_2/liter-min$ at a SRT of 8 days. It is thus believed that young microorganisms were more active and more efficient for the VOCs removal of low concentrations and high flow rates. The apparent correlation of $R^2=0.996$ between the average removal efficiency and the average OUR at each SRTs suggests that VOCs degradation by young cells significantly affected the overall removal efficiency for the tested SRTs.

• 대한임베디드공학회논문지
• /
• 제9권3호
• /
• pp.145-150
• /
• 2014

This paper presents an effective vision based method for LED traffic light detection at the daytime. First, the proposed method calculates horizontal coordinates to set region of interest (ROI) on input sequence images. Second, the proposed uses color segmentation method to extract region of green and red traffic light. Next, to classify traffic light and another noise, shape filter and haar-like feature value are used. Finally, temporal delay filter with weight is applied to remove blinking effect of LED traffic light, and state and weight of traffic light detection are used to classify types of traffic light. For simulations, the proposed method is implemented through Intel Core CPU with 2.80 GHz and 4 GB RAM, and tested on the urban and rural road video. Average detection rate of traffic light is 94.50 % and average recognition rate of traffic type is 90.24 %. Average computing time of the proposed method is 11 ms.

• 센서학회지
• /
• 제28권3호
• /
• pp.164-170
• /
• 2019

In this paper, a lane detection and tracking algorithm based on vision sensors and employing a robust filter for inner edge detection is proposed for developing a lane departure warning system (LDWS). The lateral offset value was precisely calculated by applying the proposed filter for inner edge detection in the region of interest. The proposed algorithm was subsequently compared with an existing algorithm having lateral offset-based warning alarm occurrence time, and an average error of approximately 15ms was observed. Tests were also conducted to verify whether a warning alarm is generated when a driver departs from a lane, and an average accuracy of approximately 94% was observed. Additionally, the proposed LDWS was implemented as an embedded system, mounted on a test vehicle, and was made to travel for approximately 100km for obtaining experimental results. Obtained results indicate that the average lane detection rates at day time and night time are approximately 97% and 96%, respectively. Furthermore, the processing time of the embedded system is found to be approximately 12fps.

• 제어로봇시스템학회논문지
• /
• 제8권11호
• /
• pp.976-983
• /
• 2002

We presents a modified variable dimension filter with input estimation for maneuvering target tracking. The conventional variable dimension filter with input estimation(VDIE) consists of the input estimation(IE) technique and the variable dimension(VD) filter. In the VDIE, the IE technique is used for estimation of a maneuver onset time and its magnitude in the least square sense. The detection of the maneuver is declared according to the estimated magnitude of the maneuver. The VD filter structure is applied for the adaptation to the maneuver of the target after compensating the filter parameter with respect to the estimated maneuver when the detection of the maneuver is declared. The VDIE is known as one of the best maneuvering target tracking filter based on a single filter. However, it requires too much computational burden since the IE technique is performed at every sampling instance and thus it is computationally inefficient. We propose another variable dimension filter with input estimation named 'Modified VDIE' which combines VD filter with If technique. Modified VDIE has less computational load than the original one by separating maneuver detection and input estimation. Simulation results show that the proposed VDIE is more efficient and outperforms in terms of computational load.

• 상하수도학회지
• /
• 제20권6호
• /
• pp.813-822
• /
• 2006

Soluble manganese removal was analyzed as a function of filter media, filter depth, presence or absence of chlorination, and surface manganese oxide concentration in water treatment processes. Sand, manganese oxide coated sand (MOCS), sand+MOCS, and granular activated carbon(GAC) were used as filter media. Manganese removal, surface manganese oxide concentration, turbidity removal, and regeneration of MOCS in various filter media were investigated. Results indicated that soluble manganese removal in MOCS was rapid and efficient, and most of the removal happened at the top of the filter. When filter influent (residual chlorine 1.0mg/L) with an average manganese concentration of 0.204mg/L was fed through a filter column, the sand+MOCS and MOCS columns can remove 98.9% and 99.2% of manganese respectively on an annual basis. On the other hand, manganese removal in sand and the GAC column was minimal during the initial stage of filtration, but after 8 months of filter run they removed 99% and 35% of manganese, respectively. Sand turned into MOCS after a certain period of filtration, while GAC did not. In MOCS, the manganese adsorption rate on the filter media was inversely proportional to the filter depth, while the density of media was proportional to the filter depth.

• 한국환경과학회지
• /
• 제17권8호
• /
• pp.899-905
• /
• 2008

Quality test for activated carbon(AC) filter used for drinking water purifier is now an obligatory test and the standard material for valid purifying amount in water purifier performance test has been changed from residual chlorine to chloroform according to the notice of Ministry of Environment in 2006. Therefore, this study aimed to compare the ingredients of AC filters by confirming chloroform removal rate of AC filter and conducting 4 adsorption tests (Iodine, methylene blue decolorization, phenol value, ADS value) for AC filters provided by manufacturers. With water pressure of $1kgf/cm^2$, 1,500 liters of prepared inflow went through to check chloroform removal rate. As a result, product with removal rate of below 60% from all products. On the other hand, 4 adsorption tests were conducted for filters in the market and filters from manufacturers. None of the products satisfied all 4 tests. In particular, they showed great shortage to the standard in phenol value and ADS value test. However, manufacturers' filter showed much better performance than filters in the market. Also, the result of valid purifying amount test for each of five products of appropriate product and inappropriate product based on filter quality test showed average 4,440 liters for appropriate product and average 2,620 liters for inappropriate product. According to the result, it is shown that the filter with good adsorption also had good chloroform removal efficiency and adsorption efficiency. Therefore, it is expected that customers can screen good quality product through obligatory conduct of filter quality test. However, it is considered that complementation in system is required for future inspection.

• 한국컴퓨터정보학회논문지
• /
• 제14권5호
• /
• pp.45-54
• /
• 2009

본 논문에서는 평균 명암 필터와 개선된 2D 허프 변환을 이용하여 영상에서 가슴 영역을 검출함으로써 음란영상을 탐지하는 새로운 방법을 제안한다. 제안된 유해물 영상 검출 방법은 크게 학습 단계, 인식 단계, 검증 단계의 3가지 주요 단계로 구성된다. 학습 단계에서는 가슴의 유두 부분 영상의 학습을 통하여 인식 단계에서 사용할 유두 평균 명암 필터를 생성한다. 인식 단계에서는 입력 영상을 받아들여 에지를 추출하고, 에지의 밀도를 이용해 연결성분을 추출한 후. 추출된 연결성분의 가로와 세로외 길이 비율을 고려하여 유두 후보영역을 결정한다. 그리고 학습된 유두 평균 명암 필터와 입력 영상의 유두 후보영역 사이의 유사도를 측정하여 가장 유사도가 높은 영역을 최종적인 유두후보영역으로 결정하며, 개선된 2D 허프 변환을 이용하여 영상에서 가슴 라인을 검출한다. 검증 단계에서는 인식 단계에서 획득한 유두 후보영역과 가슴 라인의 위치를 고려하여 가슴 영역을 판단함으로써 유해물 영상의 최종 유무를 결정한다. 실험 결과에서는 다양한 영상을 이용한 실험을 통해 제안한 방법이 가슴 영역을 효과적으로 인식할 수 있음을 보여 주었으며, 결과적으로 제안된 방법이 음란 영상의 검출에 유용하게 활용될 수 있음을 확인할 수 있었다.

• 한국대기환경학회지
• /
• 제8권1호
• /
• pp.68-73
• /
• 1992

A study on the formation of particulate nitrate$(NO_3^-)$ and gaseous nitrate$(HNO_3)$ in the atmosphere was carried out in Seoul from Oct 8 to 11 1991. To collect $NO_3^-$ and $HNO_3$ in the ambient air, dual filter pack sampler (47mm$\phi$) was used. In the dual filter pack sampler, the first filter was Teflon filter (poresize 1$\mum$) for collection of $NO_3^-$ and the second filter was Nylon filter (poresize 0.45 $\mum$) for $HNO_3$. Particulate nitrate$(NO_3^-)$ and Sulfate ions were analysed by Ion chromatography. $HNO_3$ concentration was higher in the day time $(9.93\mug/m^3)$ than the night time$(3.50\mug/m^3)$, and Particulate nitrate$(NO_3^-)$ concentration was higher in the night time and early morning$(6.21\mug/m^3)$ than the day time$(4.31\mug/m^3)$. The conversion rate of $NO_x$ to total nitrate$(NO_3^-, HNO_3)$ was 7.57%/hr in the day time and 4.79%/hr in the night time, and total average conversion rate was 5.60%/hr.

• 방송공학회논문지
• /
• 제16권3호
• /
• pp.501-509
• /
• 2011

In this paper, we propose an edge profile adaptive bi-directional diffusion interpolation method which consists of shock filter and level set. In recent years many interpolation methods have been proposed but all methods have some degrees of artifacts such as blurring and jaggies. To solve these problems, we adaptively apply shock filter and level set method where shock filter enhances edge along the normal direction and level set method removes jaggies artifact along the tangent direction. After the initial interpolation, weights of shock filter and level set are locally adjusted according to the edge profile. By adaptive coupling shock filter with level set method, the proposed method can remove jaggies artifact and enhance the edge. Experimental results show that the average PSNR and MSSIM of our method are increased, and contour smoothness and edge sharpness are also improved.