• Clean Technology
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• v.17 no.4
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• pp.353-362
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• 2011

In our nature, the utilization of rainwater is essential for healthy water recirculation. This is one of the solutions of the increment of impermeability surface according to the development of new cities; this study of the improvement of rainwater quality has been carried on through the improvement of collecting and restoring system of rainwater. The southwestern region of Daejeon City, the rainwater coefficient of run off was 0.40 and this number had computed to 0.59 after the development. After filtration of rainwater, the heavy metal (Cu, As, Cr, Fe, Mn) contents level were lower than underground water. Moreover, collected rainwater showed better quality than underground water in following criteria; hardness, permanganate consumption quality, chloride, evaporation residue, sulfates and nitrate nitrogen. This water quality met the gray water quality standards. The rainwater quality was still suitable to use as bathroom flushing and gardening after 100 days of storage. This study proved that modification (installation of cover with gutter to existing rainwater collection system, proper filtering, and installation of underground storage tank) of collection system could improve quality of water and maintain this approximately 100 days.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.1-8
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• 2016

In the recently, violent crime and accidental crime has been generated continuously. Consequently, people anxiety has been heightened. The Closed Circuit Television (CCTV) has been used to ensure the security and evidence for the crimes. However, the video captured from CCTV has being used in the post-processing to apply to the evidence. In this paper, we propose a flexible multi-level models for estimating whether dangerous behavior and the environment and context for pedestrians. The situation analysis builds the knowledge for the pedestrians tracking. Finally, the decision step decides and notifies the threat situation when the behavior observed object is determined to abnormal behavior. Thereby, tracking the behavior of objects in a multi-region, it can be seen that the risk of the object behavior. It can be predicted by the behavior prediction of crime.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.533-539
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• 2012

The purpose of this study is to estimate a validity of control signal through a design of Exoskeleton Robot Arm's capable of intelligent recognition as a human arm's motion by using realtime processed data of generated EMG signals. By an intelligent algorithm, the EMG output value of human biceps and triceps muscles contraction can be recognized and used for the control over exoskeleton arm corresponding to human's recognition and judgement. The EMG sensing data of muscles contraction and relaxation are used as the input signal from human's body to operate the Exoskeleton Robot Arm thus copying human arm motion. An intelligent control of Exoskeleton Robot Arm is to design the analog control circuit which processes the input data, and then to manufacture an integrated control board. And then abstracted signal is passed by DSP signal processing, Fuzzy logic algorithm is designed for a accurate prediction of weight or load through the intelligent algorithm, and design an Exoskeleton Robot Arm to express a human's intention.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.2
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• pp.394-400
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• 2016

Currently, with the rapid development of the digital age, multimedia-related image devices become popular. However image deterioration is generated by multiple causes during the transmission process, with typical example of salt and pepper noise. When the noise of high density is added, existing methods are deteriorated in the characteristics of removal noise. After judging the noise condition to remove the salt and pepper noise, if the center pixel is the non-noise pixel, it is replaced with the original pixel. On the other hand, if it is the noise pixel, algorithm is suggested by the study, where the histogram of the corrupted image and the median filters are used. And for objective judgment, the proposed algorithm was compared with existing methods and PSNR(peak signal to noise ratio) was used as judgment standard. As the result of the simulation, The proposed algorithm shows a high PSNR of 32.57[dB] for Lena images that had been damaged of a high density salt and pepper noise(P=60%), Compared to the existing CWMF, A-TMF and AWMF there were improvements by 21.67[dB], 18.07[dB], and 20.13[dB], respectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.1015-1017
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• 2013

Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns of both the object and the scene, non-rigid object structures, object-to-object and object-to-scene occlusions, and camera motion. Tracking is usually performed in the context of higher-level applications that require the location or the shape of the object in every frame. This paper describes an object tracking system based on active vision with two cameras, into algorithm of single camera tracking system an object active visual tracking and object locked system based on Extend Kalman Filter (EKF) is introduced, by analyzing data from which the next running state of the object can be figured out and after the tracking is performed at each of the cameras, the individual tracks are to be fused (combined) to obtain the final system object track.

• Journal of the Korean Geophysical Society
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• v.2 no.4
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• pp.251-258
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• 1999

A high-resolution seismic survey was conducted on the abandoned tidal flat in Shihwa Lake on the west coast of Korea. A portable vibrator was used as a seismic source and 217 shot gathers with 48-channel system were acquired. F-k filtering, residual static corrections and post-stack frequency filtering are found to be useful for signal enhancement. The overburden is divided into two seismic depositional units. Unit I is deposited in tidal environment characterized by parallel and high continuity reflection pattern. This unit comprises a dry layer (Unit Ia) and a wet layer (Unit Ib) having averagely 5 and 15 meters thick, respectively. Unit II unconformably overlain by Unit I exhibits discontinuity and hummocky reflection pattern, indicating complex channel-fill sediments in estuary. The maximum thickness of this unit is approximately 20 meter. Acoustic basement is considered as Precambrian granitic gneiss occurred in the surrounding area.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.7
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• pp.974-981
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• 2019

Fine dust has become a significant social problem. Diesel engines are used as the main propulsion power source in ships. This study introduces a diesel particulate filter (DPF) that is used as an exhaust after-treatment system for diesel engines to reduce particulate matter known as diesel fine dust. Two materials are used for the DPF: Cordierite and silicon carbide (SiC). In this study, to improve the physical properties of the binder used in the SiC DPF, cordialite was used instead of the SiC-based materials used as the conventional binder to evaluate the thermal durability against high-temperature deformation through the change of the coefficient of thermal expansion. In addition, the physical properties of the silica sol, as a main component of the base coating solution for determining the bond between the binder and the segment, were confirmed. Based on this, the change effect of the binder physical properties was confirmed through experiments by either adding a silane coupling agent or SiC to increase the reactivity of the silica sol.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.5
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• pp.907-912
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• 2006

Pre-emphasizing the speech compensates for falloff at high frequencies. The most common form of pre-emphasis is y(n)=s(n)-A${\cdot}$s(n-1), where A typically lies between 0.9 and 1.0 in voiced signal. And, this value reflects the degree of pre-emphasis and equals R(1)/R(0) in conventional method. This paper proposes a new flattening method to compensate the weaked high frequency components that occur by vocal cord characteristic. We used QMF(Quardrature Mirror Filter) to minimize the output signal distortion. After using the QMF to compensate high frequency components, flattening process is followed by R(1)/R(0) at each frame. Experimental results show that the proposed method flattened the weaked high frequency components effectively than auto correlation method. Therefore, the flattening algorithm will apply in speech signal processing like speech recognition, speech analysis and synthesis.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.715-722
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• 2022

If you don't regularly go to the dentist to check your teeth, it is difficult to notice cavities or various diseases of your teeth until you have pain or discomfort. Dental plaque is produced by the combination of food or foreign substances and bacteria in the mouth. Starch breaks down from the bacteria that form tartar. The acid that occurs at this time melts the enamel of the teeth and becomes a cavity. So tartar management is important. Poppyrin, the metabolism of bacteria in the mouth, reacts at 405 nm wavelengths and becomes red fluorescent, which can be seen by imaging through certain wavelength filters. By the above method, Frag and tartar are fluorescently detected and photographed with a yellow series of filters that pass wavelengths of 500 nm or more. It uses MATLAB to detect and display red fluorescence through image processing. Using the difference in voltage between normal teeth and tartar through an optical measuring circuit, it was connected to an Arduino and displayed on the LCD. This allows the user to know the presence and location of dental plaque more accurately.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.173-173
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• 2021

현재까지 상수도관망 내 수질적 거동에 대한 분석은 (1) 네트워크 수질 모델(EPANET 수질모의 등)에 기반한 방법과 (2) 시공간적 저해상도 데이터에 기반한 데이터 분석법이 주를 이루었다. 그러나 현존 네트워크 수질 모델은 수질 사고의 복잡한 물리·화학적 거동을 상세히 모의하기 어렵다. 반면 계측 및 통신기술의 발달로 고해상도 수질 데이터의 실시간 수집이 가능해지면서 사고의 사전감지, 발생시 즉각적 탐지 및 대응을 위한 데이터 분석법에 관심이 증가하고 있다. 서울 문래동, 인천, 포항의 경우에서도 알 수 있듯이, 수질사고 발생 시 원인물질의 시공간적 이송 또는 전파에 대한 정보는 사고대응에 유용하게 활용된다. 본 연구는, 비정상적인 수질변화의 계통 내 전달 시간을 계산하기 위해 고해상도 수질 스마트 미터 데이터에 기반한 데이터 분석법을 개발하였다. 물공급 하류방향의 수질변화 전달 시간 정량화를 위해 화음탐색법 기반 동적시간워핑(Dynamic time warping; DTW) 기술을 이용하였고, 원데이터의 전처리를 위해 이동평균필터링을 수행하였다. 개발된 분석법은 A시 생산 및 배·급수과정의 감시지점에서 10초 단위로 계측된 다양한 수질변수(pH, 탁도, 잔류염소, 전기전도도, 수온 등)의 공간적 변이 전파시간을 결정하기 위해 적용되었다. 분석에 활용한 데이터는 데이터 통신 및 측정 기기에 의한 이상값과 운영상황의 변화에 따라 변동한 값을 처리하기 이전의 데이터이다. 데이터 품질에 의한 영향을 배제하기 위해 이상값이 발생하지 않은 기간을 파악한 후, 그 기간에 대하여 분석하였다. 계통 내 위계에 따라 두 지점의 측정값의 전파시간을 정량화한 결과, 지점에 따라 전파시간이 다르게 나타났다. 또한, 같은 두 지점에 적용한 결과라도 DTW를 적용하는 기간과 이동평균필터링의 크기에 따라 수질변화 전달 시간이 다르게 나타나는 것을 확인할 수 있었다. 본 연구에서 개발된 분석법은 다변량 수질변수 간의 영향관계를 파악하는데 확장 적용이 가능하다. 또한, 이 방법의 실시간 적용을 통해 동적으로 변화하는 전달시간을 주기적, 공간적으로 갱신하여 관망 수질 변화 모니터링이 가능하다.