• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1657-1660
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• 2000

이 논문에서는 지문 인식을 위한 전처리 과정 중 개선된 이진 지문 영상을 얻기 위한 방법을 제안하였다. 흐릿하거나 블러링 된 256 그레이 레벨 원 지문 영상에 대하여 이진화 수행 시 명확한 융선과 골의 구조를 얻기 위해 고주파 강화 필터링을 적용하였다. 필터링 된 영상에 대하여 일정 블록으로 분할 한 후 각 블록에서 계산된 평균값을 임계값으로 하여 이진화를 수행하였고, 필터링을 적용하지 않았을 때 보다 융선과 골의 구조가 분명하고 융선 흐름이 유연한 이진 지문 영상을 획득할 수 있었다.

• Korean Chemical Engineering Research
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• v.46 no.2
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• pp.397-401
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• 2008

The nanoparticle-agglomerates are synthesized by laser ablation, which have the morphology of dendrite structure. The filtration performance of a conventional micron-fibrous metal filter was improved by adhering nanoparticle-agglomerates onto the filter surface. The Sintered-Nanoparticle-Agglomerates-adhered Filter (SNAF) adhered with nanostructured material was made by heat treatment after deposition of nanoparticle-agglomerates sintered in aerosol phase onto the micron-fibrous metal filter. As the sintering temperature increases, the pressure drop of the filter increases a little but the filtration efficiency increases remarkably. This is due to increase of surface area of nanoparticle-agglomerates adhered onto the micron-fibrous metal filter.

• Journal of the Korea Organic Resources Recycling Association
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• v.8 no.1
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• pp.60-68
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• 2000

Biofiltration is an environmentally-sound technology for elimination of VOCs and odorous compound from low-concentration, high-volume waste gas streams because of its simplicity and cost-effectiveness. It can be appled to the treatment of gases from publicly owned treatment works, composting facilities, landfill sites, and soil vapor extraction systems. The ability to design an effective biofilter system involves a combination of fundamental biofilter knowledge, practical experience, and bench- and pilot-scale testing. The objective of this paper was to review principle, design parameters, operational conditions, case studies, and economy of biofiltration through literature.

• Journal of IKEEE
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• v.7 no.2 s.13
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• pp.271-280
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• 2003

This paper presents an effective method to segment objects from the ultrasound medical image which is inherently corrupted by speckle noise. In order to reduce the speckle noise morphological opening was used as preprocessing. For the preprocessed image, sample variance of neighborhood pixels is to be computed to classify where the pixel is located on the edge region or homogeneous region. Then pseudomedian filtering with different window size is taken according to the region classified, named adaptive pseudomedian filter. Various experimental results were presented to prove superiority of the proposed filter.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.5 no.3
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• pp.257-265
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• 2007

Spent filter wastes of about 1,000 units (200 L) have been stored in the waste storage facility of the Korea Atomic Energy Research Institute since its operation. At the moment, to secure space in a waste storage facility as well as to efficiently manage spent filter wastes, it is necessary to conduct a compaction treatment of these spent filters, and finally, to repack the compacted spent filters into a 200 liter drum. To do that, the spent filter wastes were first classified according to their generation facilities, their generation date and their surface dose rate by investigating the inventory of the spent filters. In order to repack a compacted spent filter in a 200 liter drum, it is first necessary to conduct a radionuclide assessment of a spent filter before compacting it. Therefore, after taking a representative sample from a spent filter without a dismantlement, the nuclide analysis for it will be conducted. And then, after putting a spent filter into a regular drum by conducting the columnar shaping of the hexahedral form of a spent filter, the compaction treatment of the shaped spent filter will be conducted by vertically compacting it.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2008.11a
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• pp.396-396
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• 2008

투명 전도성 탄소나노튜브(carbon nanotube, CNT) 필름을 터치스크린이나 디스플레이 소자 등의 전극에 응용할 목적으로, CNT 필름의 전기저항 및 광 투과도를 향상시키기 위한 연구가 활발히 진행되고 있다. 본 연구에서는 단일벽 CNT (single-walled CNT)를 여러 가지 계면활성제로 분산시킨 수용액으로부터 제조한 CNT 필름을 산 처리하여 저항 및 투과도의 변화를 관찰하였다. 우선 계면활성제로 분산시킨 CNT 수용액을 알루미나 재질의 필터에서 정량적으로 진공 필터링하여 CNT 필름을 제조하였다. 알루미나 필터를 sodium hydroxide (NaOH) 수용액으로 용해시켜 제거함으로써 얻은 CNT 필름을 유리기판 위에 부착시킨 후 광 투과도와 먼 저항 (sheet resistance)을 측정하였다. CNT 필름을 질산 ($HNO_3$) 용액에 처리하였을 때 투과도는 1~5 % 향상되었으며, 면 저항은 계면활성제로 분산시킨 CNT 필름 대부분에서 감소하였다. 이는 CNT 표면에 코팅되어 있던 계면활성제들이 산에 의해 제거되었기 때문일 것으로 추측된다. 특히 sodium dodecylbenzene sulfonate (NaDDBS)로 제조한 CNT 필름의 경우, 질산을 처리 전에는 투과도 83%, 면 저항 450 $\Omega$/sq.의 특성을 보였으나, 처리 후에는 각각 86 %, 350 $\Omega$/sq.로 향상되었다. Polyvinyl pyrrolidone (PVP)과 cetyltrimethylammonium bromide (CTAB)를 사용하여 제조한 CNT 필름의 면 저항이 가장 뚜렷한 감소를 보였다. 제조된 필름과 삼 처리된 필름 특성을 Raman spectroscopy, scanning electron microscopy, UV-Vis spectroscopy 등을 이용하여 분석하였고, 4-point probe로 면 저항을 측정하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.857-860
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• 2016

이 논문에서는 모바일 앱 프로파일 기반의 센서 레지스트리 시스템을 실시간 환경에서 실험하고 평가한다. 이기종 사물인터넷 환경에서 센서 레지스트리 시스템은 모바일 기기에 센서 메타데이터를 제공하여 센서 데이터 처리의 즉시성을 제공한다. 하지만 불필요한 센서 데이터까지 처리하여 성능 측면에서 개선사항이 요구된다. 이를 개선하기 위해 앱 프로파일을 기반으로 한 센서 필터링 기법을 제안한다. 유효한 센서 식별을 위한 센서의 정보를 프로파일 형태로 모바일 기기에 저장 후 사용하여 불필요한 센서 데이터를 필터링함으로써 전체적인 처리 속도가 개선된다. 기존 연구는 시뮬레이션 평가를 통하여 처리 속도의 향상성을 확인한다. 하지만 실시간 환경을 통한 다양한 상황의 실험이 부족하여, 이 논문에서는 기존 센서 레지스트리 시스템과 앱 프로파일 기반의 센서 레지스트리 시스템을 실시간 환경에 맞춰 구축하고 실험 및 평가한다.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.12
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• pp.46-54
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• 1998

In this paper we propose a fast adaptive image restoration filter using DCT-based block classification for reducing block artifacts in compressed images. In order to efficiently reduce block artifacts, edge direction of each block is classified by using the DCT coefficients, and the constrained least square (CLS) on the observation that the quantization operation in a series of coding process is a nonlinear and many-to-one mapping operator. And then we propose an approximated version of constrained optimization technique as a restoration process for removing the nonlinear and space-varying degradation operator. For real-time implementation, the proposed restoration filter can be realized in the form of a truncated FIR filter, which is suitable for postprocessing reconstructed images in HDTV, DVD, or video conference systems.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.5
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• pp.175-182
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• 2013

This paper proposes a readability enhancement filter for Patterned Retarder (PR) display. In general, when some texts in stereoscopic images are shown on PR display, their readability tends to be lowered. In order to overcome this problem, we present a readability enhancement algorithm which consists of readability filtering stage and post-processing stage for specific characters. First, each input stereo image is divided into an odd line image and an even line image. Then, they are independently up-scaled vertically by using Lanczos filter. Next, two up-scaled line images are averaged considering vertical phase difference. In post-processing stage, two specific characters which are normally difficult to read on PR display are detected, and they are filtered for additional readability enhancement. Here, this additional filtering is based on a specific brightness adjustment, and is applied only for two characters. The experiment results show that the proposed method achieves significant improvement in terms of readability in comparison with the previous scheme.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.11
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• pp.1635-1644
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• 1993

In this paper, we examine the statistical characteristics of edge enhancing filters and their efficacy as preprocessing operator before edge detection. In particular, edge enhancing filters called the Comparison and Selection(CS), Hachimura-kuwahara(HK), and Selective Average(SA) filters are considered. These filters can reduce noise while producing step-type edges, thus seem to be effective for preprocessing noisy images prior to applying edge detecors. The ability of edge enhancing filters to suppress white Gaussian noise and the error probabilities occured during the edge detection following SA prefiltering are evaluated statistically through numerical analysis. The effect of prefiltering on edge detection is assessed by applying the edge enhancing fitters to a noise image degraded by additive white noise prior to applying the Sobel operator and the Laplacian of Gaussian( LoG ) operator, respectively. It is shown that the edge enhancing filters tend to produce ideal step-type edges while reducing the noise reasonably well, and the use of edge enhancing filters prior to edge detection can improve the performance of subsequent edge detector.