• Title/Summary/Keyword: rapid extraction method

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Feature Extraction System for High-Speed Fingerprint Recognition using the Multi-Access Memory System (다중 접근 메모리 시스템을 이용한 고속 지문인식 특징추출 시스템)

  • Park, Jong Seon;Kim, Jea Hee;Ko, Kyung-Sik;Park, Jong Won
    • Journal of Korea Multimedia Society
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    • v.16 no.8
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    • pp.914-926
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    • 2013
  • Among the recent security systems, security system with fingerprint recognition gets many people's interests through the strengths such as exclusiveness, convenience, etc, in comparison with other security systems. The most important matters for fingerprint recognition system are reliability of matching between the fingerprint in database and user's fingerprint and rapid process of image processing algorithms used for fingerprint recognition. The existing fingerprint recognition system reduces the processing time by removing some processes in the feature extraction algorithms but has weakness of a reliability. This paper realizes the fingerprint recognition algorithm using MAMS(Multi-Access Memory System) for both the rapid processing time and the reliability in feature extraction and matching accuracy. Reliability of this process is verified by the correlation between serial processor's results and MAMS-PP64's results. The performance of the method using MAMS-PP64 is 1.56 times faster than compared serial processor.

Development of Microfluidic Chip for Enrichment and DNA Extraction of Bacteria Using Concanavalin A Coated Magnetic Particles (Concanavalin A가 코팅 된 자성 입자를 이용한 미생물 농축 및 유전자 추출 칩 개발)

  • Kwon, Kirok;Gwak, Hogyeong;Hyun, Kyung-A;Jung, Hyo-Il
    • Journal of Sensor Science and Technology
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    • v.27 no.4
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    • pp.237-241
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    • 2018
  • The real-time enrichment and detection of pathogens are serious issues and rapidly evolving field of research because of the ability of these pathogens to cause infectious diseases. In general, bacterial detection is accomplished by conventional colony counting or by polymerase chain reaction (PCR) after DNA extraction. As colony counting requires considerable time to cultivate, PCR is an attractive method for rapid detection. A small number of pathogens can cause diseases. Hence, a pretreatment process, such as enrichment is essential for detecting bacteria in an actual environment. Thus, in this study, we developed a microfluidic chip capable of performing rapid enrichment of bacteria and the extraction of their genes. A lectin, i.e., Concanavalin A (ConA), which shows binding affinity to the surface of most bacteria, was coated on the surface of magnetic particles to nonspecifically capture bacteria. It was subsequently concentrated through magnetic forces in a microfluidic channel. To lyse the captured bacteria, magnetic particles were irradiated by a wavelength of 532nm. The photo-thermal effect on the particles was sufficient for extracting DNA, which was consequently utilized for the identification of bacteria. Our device will help monitor the existence of bacteria in various environmental situations such as water, air, and soil.

Studies of Duvatrienediol in Tobacco Leaf (Nicotiana tabacum L.) (잎담배중 Duvatrienediol에 관한 연구)

  • 지상운;안기영;이문수;박영수;정찬선
    • Journal of the Korean Society of Tobacco Science
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    • v.14 no.2
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    • pp.159-167
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    • 1992
  • It would be clear that the constituents of the leaf surface lipid is ye비 important as an evaluation index of tobacco leaf quality since the quality of tobacco specific aroma with leaf species depends on the contents of the lipid and the strength of the aroma is determined by the amounts of the lipid secreted. For the reason, a rapid and peproducible method to quantify DVT, which is a kind of lipid, has been studied. The biosynthesis procedure of DVT in leaf growing processes, and the volatile or decompositional characters of DVT in leaf drying processes were also discussed. In consequence, it might be possible to get the data available to the cultivation of better tobacco leaf and the manufacture of cigarettes with better aroma and taste. The results obtained from this study are as follows. 1. Chloroform/dichloromethane solvent was better than chloroform alone for DVT extraction. The extraction yields of the leaf surface lipid were about 5% 2. The extractives with dichloromethane were treated by silylation with BSTPa and the quantitative analysis of DVT was carried out using SE -54 fused silica capillary column. It was found that rapid and reproducible data could be obtained from these methods. 3. In flue - cured tobacco species, DVT contents were $30.3\mu\textrm{g}/cm^2$ in the beginning stage of leaf drying processes and $12.1\mu\textrm{g}/cm^2$ corresponded to 30% levels of the beginning stage, in the end stage. 4. DVT contents in Burley mere 2 times as large as those in fluecured tobacco. DVT in the upper stalk position of leaf was 3 times larger than that in the lower stalk position. 5. DVT of tobacco leaves was decomposed by $SO_2$ gas or the sun light. The decomposition rate was largest in the sample used methanol as a extraction solvent.

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Assessment of the FC-DenseNet for Crop Cultivation Area Extraction by Using RapidEye Satellite Imagery (RapidEye 위성영상을 이용한 작물재배지역 추정을 위한 FC-DenseNet의 활용성 평가)

  • Seong, Seon-kyeong;Na, Sang-il;Choi, Jae-wan
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.823-833
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    • 2020
  • In order to stably produce crops, there is an increasing demand for effective crop monitoring techniques in domestic agricultural areas. In this manuscript, a cultivation area extraction method by using deep learning model is developed, and then, applied to satellite imagery. Training dataset for crop cultivation areas were generated using RapidEye satellite images that include blue, green, red, red-edge, and NIR bands useful for vegetation and environmental analysis, and using this, we tried to estimate the crop cultivation area of onion and garlic by deep learning model. In order to training the model, atmospheric-corrected RapidEye satellite images were used, and then, a deep learning model using FC-DenseNet, which is one of the representative deep learning models for semantic segmentation, was created. The final crop cultivation area was determined as object-based data through combination with cadastral maps. As a result of the experiment, it was confirmed that the FC-DenseNet model learned using atmospheric-corrected training data can effectively detect crop cultivation areas.

Simultaneous quantitation of enalapril and enalaprilat in human plasma by high-throughput solid phase extraction and liquid chromatography/tandem mass spectrometry

  • Son, Jung-Hyun;Lee, Jae-Ick;Kim, Dong-Hyun
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.401.3-402
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    • 2002
  • Enalapril (ENP) maleate is effective drug for the treatment of renivascular hypertension and heart failure. ENP acts as inhibitor of the enzyme angiotensin-convertase (ACE-inhibitor) and metabolized to enalaprilat (ENPT), which is the active metabolite that is really responsible for the therapeutic action. In the present study, a sensitive and rapid liquid chromatography/ electrospray ion trap tandem mass spectrometry (LC/MS/MS) method combined with high-throughput solid phase extraction (SPE) has been developed and validated for the simultaneous quantitative determination of ENP and ENPT in human plasma. (omitted)

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Development of a Virus Elution and Concentration Procedure for Detecting Norovirus in Cabbage and Lettuce

  • Moon, Aerie;Hwang, In-Gyun;Choi, Weon-Sang
    • Food Science and Biotechnology
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    • v.18 no.2
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    • pp.407-412
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    • 2009
  • In this study, a rapid and efficient concentrating procedure that can be used for detecting viruses in vegetables was developed. The Sabin strain of poliovirus type 1 was used to evaluate the efficiency of virus recovery. The procedure included: (a) elution with 0.25 M threonine-0.3 M NaCl pH 9.5; (b) polyethylene glycol (PEG) 8000 precipitation; (c) chloroform extraction; (d) 2$^{nd}$ PEG precipitation; (f) RNA extraction; (g) reverse transcription-polymerase chain reaction (RT-PCR) combined with semi-nested PCR. The overall recoveries by elution/concentration were 29.0% from cabbage and 13.7% from lettuce. The whole procedure usually takes 18 hr. The overall detection sensitivity was 100 RT-PCR units of genogroup II norovirus (GII NoV)/25 g cabbage and 100 RT-PCR units of GII NoV/10 g lettuce. The virus detecting method developed in this study should facilitate the detection of low levels of NoV in cabbage and lettuce.

Analysis of Geosmin and 2-MIB in Water by Stir Bar Sorptive Extraction (SBSE) and GC/MS (교반막대추출법(SBSE)과 GC/MS를 이용한 수중의 Geosmin과 2-MIB의 분석)

  • Lee, Hwa-Ja;Kang, Lim-Seok
    • Journal of Korean Society of Environmental Engineers
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    • v.31 no.1
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    • pp.64-69
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    • 2009
  • Musty and earth odors caused by geosmin and 2-MIB are the major complaints from the drinking water consumers. Therefore, early detection of geosmin and 2-MIB is the key to prevent off-flavor occurrence. In this study, a rapid method using stir bar sorptive extraction (SBSE) in combination with the GC/MS was investigated to analyze geosmin and 2-MIB in water. The SBSE method, a solventless extraction technique, was optimized and then applied to the analysis of geosmin and 2-MIB in water. The SBSE technique was found to be a simple and fast procedure that allows many samples to be extracted simultaneously using very small volume (10~20 mL). In addition, the SBSE method offered high recovery and good linear regression coefficient for the geosmin and 2-MIB. The good repeatability of this method can be deduced from the low RSD (7.2~7.6%) at 10 ng/L for geosmin and 2-MIB. The limit of detection was determined 1~2 ng/L and the limit of quantitation was 3~6 ng/L. Above all, the SBSE method proved to be a very practical technique for the analysis of geosmin and 2-MIB in water.

Direct Detection of Cylindrocarpon destructans, Root Rot Pathogen of Ginseng by Nested PCR from Soil Samples

  • Jang, Chang-Soon;Lim, Jin-Ha;Seo, Mun-Won;Song, Jeong-Young;Kim, Hong-Gi
    • Mycobiology
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    • v.38 no.1
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    • pp.33-38
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    • 2010
  • We have successfully applied the nested PCR to detect Cylindrocarpon destructans, a major pathogen causing root rot disease from ginseng seedlings in our former study. The PCR assay, in this study, was used to detect the pathogen from soils. The nested PCR using internal transcribed spacer (ITS) 1, 4 primer set and Dest 1, 4 primer set maintained the specificity in soils containing various microorganisms. For a soil DNA extraction method targeting chlamydospores, when several cell wall disrupting methods were tested, the combination of lyophilization and grinding with glass beads, which broke almost all the chlamydospores, was the strongest. The DNA extraction method which was completed based on the above was simple and time-saving because of exclusion of unnecessary stages, and efficient to apply in soils. As three ginseng fields whose histories were known were analyzed, the PCR assay resulted as our expectation derived from the field information. The direct PCR method will be utilized as a reliable and rapid tool for detecting and monitoring C. destructans in ginseng fields.

Rapid Gas Chromatographic Screening of Saliva Samples for Organic Acids (기체크로마토그래피법에 의한 타액내 유기산의 신속한 스크리닝)

  • 김경례;김정한;박영준;김정옥
    • YAKHAK HOEJI
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    • v.39 no.3
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    • pp.283-288
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    • 1995
  • Rapid gas chromatographic profiling method was applied to saliva from healthy subjects for the analysis of free organic acids. Saliva samples were first saturated with NaHCO$_{3}$ and extracted with diethyl ether. The aqueous phase was solid-phase extracted using Chromosorb P as the adsorbent and diethyl ether as the eluent after the acidification and NaCl saturation, followed by triethylamine treatment. The resulting tiiethylammonium salts of acids were directly converted into stable tert.-butyl-dimethylsflyl derivatives, with subsequent analysis by dual-capiuary column gas chromatography and gas chromatograpy -mass spectrometry. From the ten saliva samples studied, twenty eight free organic acids including various fatty acids, hydroxy acids, dicarboxylic acids, md aromatic acids were tentatively identified. Among the acids identified , the concentration of lactic acid was highest for five saliva samples while $\alpha$-hydroxyisocaproic acid was most abundant for me sample, and succinic acid and glycolic acid for two samples. respectively. When the GC profiles were simplified to the corresponding acid retention index spectra of bar graphical form, they presented characteristic patterns for each individual.

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