• 대한전자공학회논문지SP
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• 제45권1호
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• pp.55-63
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• 2008

지문의 방향 정보는 융선 강화, 정합, 분류기 등과 같이 전반적인 지문 인식 알고리즘의 기반 정보로 사용하므로 방향 정보의 오차는 지문 인식 성능에 직접적인 영향을 준다. 지문의 방향은 대부분의 영역에서는 융선의 흐름이 완만하게 변하는 전역적인 특성과 중심점(core point)이나 삼각주(delta point)와 같은 특이점(singular point) 부근에서 융선의 흐름이 급격히 변하는 지역적인 특성을 모두 갖고 있다. 따라서 융선의 방향 추출 시에 지역적인 특성만 강조하면 특이점 부근에서의 방향 변화를 민감하게 표현해 줄 수 있지만 노이즈에 취약한 단점이 발생하고 전역적인 특성만 강조하면 노이즈에 강인한 특성을 보이지만 특이점 부근에서 방향 변화에 둔감해진다. 본 논문에서는 지역적인 특성에 민감하면서도 노이즈에 강인한 적응적 지문 방향 추출 방법에 대하여 제안하였다. 또한, 상처에 의해 발생되는 방향성 노이즈는 반복 회귀 진단으로 이상치(outlier)들을 선별하여 제거함으로써 이에 대한 영향을 최소화하였다. 그리고 영역별로 측정 사이즈를 다르게 하여 노이즈에 강인하면서 특이점 부근에서는 융선 변화에 민감하게 방향을 추정하였다. 제안 방법의 평가를 위해 인조 지문(synthetic fingerprint)과 지문 인식의 성능 평가용으로 많이 사용되는 FVC 2002 데이터베이스를 사용하였다. 융선 방향 추출의 정확성은 융선의 방향 값을 사전에 알고 있는 인조 지문 데이터를 생성하여 평가하였고 최종 지문 인식 성능의 평가는 FVC 2002 데이터베이스를 사용하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.2961-2975
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• 2022

The Location-Based Service (LBS) is one of the most well-known services on the Internet. Positioning is the primary association with LBS services. This study proposes an intelligent LoRa-based positioning system, called AI@LBS, to provide accurate location data. The fingerprint mechanism with the clustering algorithm in unsupervised learning filters out signal noise and improves computing stability and accuracy. In this study, data noise is filtered using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, increasing the positioning accuracy from 95.37% to 97.38%. The problem of data imbalance is addressed using the SMOTE (Synthetic Minority Over-sampling Technique) technique, increasing the positioning accuracy from 97.38% to 99.17%. A field test in the NTUST campus (www.ntust.edu.tw) revealed that AI@LBS system can reduce average distance error to 0.48m.

• 전자공학회논문지B
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• 제29B권8호
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• pp.44-53
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• 1992

In this paper, a matching method is proposed to improve the correct matching rate in stereo correspondence matching in which the fingerprint of zero-crossing points on the scale-space is used as the robust matching feature. The dynamic programming, which is appropriate for the fingerprint feature, is introduced for correspondence matching. We also improve the matching rate by using the post-processing for correcting mismatched points. In simulation, we apply the proposed algorithm to the synthetic and real images and obtain good matching results.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1288-1288
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• 2001

X-ray powder diffraction (XRD) is utilized for determination of polymorphism in crystalline organic materials. Though convenient to use in a laboratory setting, XRD is not easily adapted to in situ monitoring of synthetic chemical production applications. Near-Infrared spectroscopy (NIR) can be adapted to in situ manufacturing schemes by use of a source/detector probe. Conversely, NIR is unable to conclusively define the existence of polymorphism in crystalline materials. By combining the two techniques, a novel simultaneous NIR/XRD instrument has been developed. During material's analysis, results from XRD allow for defining the polymorphic phase present, and NIR data are collected as a fingerprint for each of the observed polymorphs. These NIR fingerprints will allow for the development of a library, which can be referenced during the use of a NIR probe in manufacturing settings.

• 한국약용작물학회지
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• 제14권2호
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• pp.117-123
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• 2006

The purpose is to study the identification method of Huangjinju powder for injection and the medicinal materials by the fingerprint off-ray Diffraction Fourier (XRDF). We used the same method on both the studying of Huangjinju and the medicinal materials. Then we selected a few components alignment to compare. We analyzed the data by setting up the deviation $d({\AA})$ as ${\pm}0.05$ to calculate the rate of special mark on the sample (Px) and on the patent (P). The special XRDF of Huangjinju$[d({\AA})/(I/I_0)]$ have 5 peaks that have not expressed in medicinal materials. Therefore Px is 22.73%. Flos Trollii Chinensis has 3 special marks and Px is 17.65%. Flos Chrysanthemi Indici has 1 special mark and Px is 3.57%. Its coincided interplanar spacing with the patent is $2.907{\AA}$. Flos Lonicerae Japonicae has 6 special marks and Px is 23.08%. Its special mark in the patent are 4.95/14 and 4.50/15, respectively. The P is 9.09%. Its coincided interplanar spacing with the patent is $2.910{\AA}\;and\;3.05{\AA}$, respectively. The number of special XRDF mark peaks of baicalin is 9 and Px is 18.37%. Its coincided interplanar spacing with the patent is $2.910{\AA}$. It has visible mark and specificity adopting XRDF fingerprint to identify Huangjinju and medicinal materials. Establishing the quality standard is a synthetic index that depends both on special marks in the medicinal materials of the patent and on the coincidence peak data.

• 셀메드
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• 제10권1호
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• pp.7.1-7.6
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• 2020

Plants produce a wide range of active principles, making them a rich source of different types of medicines. Without any knowledge of the phytoconstituents or active principles the medicinal plants itself or in the form of polyherbal formulations, were used by all society of human being from ancient times for prevention and cure of disease, but most of the traditional formulations including the formulation of Ayurveda and Unani have not been scientifically validated in order to establish the pharmacopoeial standards to improve the efficacy. Globally, the people become conscious that uses of synthetic drugs for a long period is not safe; the trend of medical society at large is looking at alternatives from natural, safe sources to combat diseases. Due to this comprehension, it has been increased the demand for plant-derived medicine, and on the other side, it is extremely important to standardize the polyherbal formulations and validate them scientifically to improve their safety and efficacy. The polyherbal Unani formulation Safuf-e-Muallif is widely used and recommended in Unani system of medicine (USM) as a spermatogenic agent, semen thickening agent, etc. to treat sexual disorders viz. premature ejaculation, nocturnal emission, etc. The study mainly deals with phytochemical screening for the detection of nature of phytoconstituents and analytical technique like High-performance thin-layer chromatography (HPTLC) for developing fingerprint of Safuf-e-Muallif revealing specific identities of the drug. The phytochemical screening and HPTLC fingerprint profile for SM reported here may be used as a reference standard for quality control purpose in future.