• Title/Summary/Keyword: Bio-system

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Improved Vapor Recognition in Electronic Nose (E-Nose) System by Using the Time-Profile of Sensor Array Response (센서 응답의 Time-Profile 을 이용한 전자 후각 (E-Nose) 시스템의 Vapor 인식 성능 향상)

  • Yoon Seok, Yang
    • Journal of Biomedical Engineering Research
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    • v.25 no.5
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    • pp.329-334
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    • 2004
  • The electronic nose (E-nose) recently finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. The odor recognition performance of E-nose can be improved by manipulating the sensor array responses of vapors in time-profile forms. The different chemical interactions between the sensor materials and the volatile organic compounds (VOC's) leave unique marks in the signal profiles giving more information than collection of the conventional piecemal features, i.e., maximum sensitivity, signal slopes, rising time. In this study, to use them in vapor recognition task conveniently, a novel time-profile method was proposed, which is adopted from digital image pattern matching. The degrees of matching between 8 different vapors were evaluated by using the proposed method. The test vapors are measured by the silicon-based gas sensor array with 16 CB-polymer composites installed in membrane structure. The results by the proposed method showed clear discrimination of vapor species than by the conventional method.

Estimating Ungauged River Section for Flood Stage Analysis (홍수위 해석을 위한 미측정 하천 단면 추정)

  • Shin, Sat Byeol;Kang, Moon Seong;Jun, Sang Min;Song, Jung Hun;Kim, Kyeung;Ryu, Jeong Hoon;Park, Jihoon;Lee, Do Gil;Lee, Kyeong-Do
    • Journal of The Korean Society of Agricultural Engineers
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    • v.58 no.5
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    • pp.11-18
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    • 2016
  • The objective of this study was to develop the simple method to estimate ungauged river section for flood stage analysis. Damage prediction should be prioritized using hydrological modeling to reduce flood risk. Mostly, the geographical data using hydrological modeling depends on national river cross-section survey. However because of the lack of measured data, it is difficult to apply to many local streams or small watersheds. For this reason, this study suggest the method to estimate unguaged river cross-section. Simple regression equations were derived and used to estimate river cross-section by analyzing the correlation between the river cross-sectional characteristics (width, height and area). The estimated cross-sections were used to simulate flood level by HEC-RAS (Hydrologic Engineering Center's River Analysis System). The applicability of this method was verified by comparing simulated flood level between measured and estimated cross-section. The water surface elevation of the flood stage analysis was 6.56-7.24 m, 5.33-5.95 m and 6.12-6.75 m for measured cross section, for estimated cross section and for estimated cross section based on DEM elevation, respectively. Further study should consider other factors for more accurate flood stage analysis. This study might be used one of the guidelines to estimate ungauged river section for flood stage analysis.

Study of Hydrotrope Action and Liquid Crystal Behavior of Concentrated Liquid Detergents (농축세정제의 액정 상거동과 하이드로트로프 작용에 대한 연구)

  • Chi, Gyeong-Yup
    • Applied Chemistry for Engineering
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    • v.27 no.5
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    • pp.516-520
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    • 2016
  • Concentrated liquid detergents have 2~3 times higher surfactant contents [35~45% (w/w)] compared to those of normal type detergents. In general, a single surfactant forms a lyotropic liquid crystal (LC) phase when the concentration is in the region of 30~60% (w/w). Whereas the concentrated liquid detergent at about 40% (w/w) concentration in a mixed surfactant system shows an opaque appearance of gel or LC. In order to meet consumer needs and preference for product appearance, we applied hydrotropes and various surfactants systems in concentrated liquid detergents to obtain an opaque gel-phase and also a clear transparent phase at even below zero $^{\circ}C$ temperature. The more effective hydrotropes for making concentrated liquid detergents are 1,6-hexanediol, adipic acid and dipropylene glycol (DPG) which have two hydrophilic groups in both terminated positions. In order to prepare an excellent concentrated liquid detergent, good hydrotropes alongside secondary type surfactants like LAS and SAS were used. The formation of LC phase of concentrated liquid detergents at about 40% (w/w) concentration could be prevented by the use of both hydrotropes and secondary type surfactants. The result indicate that concentrated detergents having excellent low temperature stability and controlled viscosity can be prepared.

Functional Screening of Plant Genes Suppressed Salt Sensitive Phenotype of Calcineurin Deficient Mutant through Yeast Complementation Analysis (애기장대의 염해 저항성 관련 유전자의 기능적 선별)

  • Moon, Seok-Jun;Park, Soo-Kwon;Hwang, Un-Ha;Lee, Jong-Hee;Han, Sang-Ik;Nam, Min-Hee;Park, Dong-Soo;Shin, Dongjin
    • Journal of Life Science
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    • v.23 no.1
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    • pp.1-7
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    • 2013
  • Understanding salt tolerance mechanisms is important for the increase of crop yields, and so, several screening approaches were developed to identify plant genes which are involved in salt tolerance of plants. Here, we transformed the Arabidopsis cDNA library into a salt-sensitive calcineurin (CaN)-deficient ($cnb{\Delta}$) yeast mutant and isolated the colonies which can suppress salt-sensitive phenotype of $cnb{\Delta}$ mutant. Through this functional complementation screen, a total of 34 colonies functionally suppressed the salt-sensitive phenotype of $cnb{\Delta}$ yeast cells, and sequencing analysis revealed that these are 9 genes, including CaS, AtSUMO1 and AtHB-12. Among these genes, the ectopic expression of CaS gene increased salt tolerance in yeast, and CaS transcript was up-regulated under high salinity conditions. CaS-antisense transgenic plants showed reduced root elongation under 100 mM NaCl treatment compared to the wild type plant, which survived under 150 mM NaCl treatment, whereas CaS-antisense transgenic plant leaves turned yellow under 150 mM NaCl treatment. These results indicate that the expression of CaS gene is important for stress tolerance in yeast and plants.

A Study on the Pattern Analysis Method using the User Log on the CMS (CMS의 사용자 로그를 이용한 패턴 분석 방법 연구)

  • Moon, Dong-Yeol;Park, Koo-Rack;Kim, Dong-Hyun;Jung, Jin-Young
    • Journal of Digital Convergence
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    • v.14 no.11
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    • pp.275-281
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    • 2016
  • In modern society, which boomed it became easier to obtain the necessary information to the emergence of a variety of smart devices. Due to this, the frequency of using the content based on the Web is growing rapidly. In addition, companies are turning into a production and modify the content using the CMS under the web-based. It can be a very important part to provide users with the content. Currently web services are designing a UI to the device and provided. To improve the ease of use, they are enhancing services only by survey and analysis of the patterns of all users. Most are designed without considering the UX only in the technical aspects. In this paper, to break the limits that apply to all users of the Web service pattern analysis, we propose a visualization system via the animation based on the individual user's movement patterns and usage patterns. Through this convergence is expected to be able to transform the web from the central manager to the user UX and the planning aspects researchers.

Recent Development of Carbon Dioxide Conversion Technology (이산화탄소 전환 기술의 현황)

  • Choi, Ji-Na;Chang, Tae-Sun;Kim, Beom-Sik
    • Clean Technology
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    • v.18 no.3
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    • pp.229-249
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    • 2012
  • At present, global warming and depletion of fossil fuels have been one of the big issues which should be solved for sustainable development in the future. CCS (carbon capture and sequestration) technology as the post $CO_2$ reduction technology has been considered as a promising solution for global warming due to increased carbon emission. However, the environmental and ecological effects of CCS have drawn concerns. There are needs for noble post reduction technology. More recently, CCU (carbon capture and utilization) Technology, which emphasizes transforming carbon dioxide into value-added chemicals rather than storing it, has been attracted attentions in terms of preventing global warming and recycling the renewable carbon source. In this paper, various technologies developed for carbon dioxide conversion both in gas and liquid phase have been reviewed. For the thermochemical catalysis in gas phase, the development of the catalytic system which can be performed at mild condition and the separation and purification technology with low energy supply is required. For the photochemical conversion in liquid phase, efficient photosensitizers and photocatalysts should be developed, and the photoelectrochemical systems which can utilize solar and electric energy simultaneously are also in development for more efficient carbon dioxide conversion. The energy needed in CCU must be renewable or unutilized one. CCU will be a key connection technology between renewable energy and bio industry development.

Comparison between QraypenTM Imaging and the Conventional Methods of Visual Inspection and Periapical Radiography for Proximal Caries Detection in Primary Molars: An In Vivo Study (유구치 인접면 우식 병소 진단에 있어 QraypenTM과 시진 및 구내 치근단 방사선의 비교)

  • An, So-Youn;Park, So-Young;Shim, Youn-Soo
    • Journal of dental hygiene science
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    • v.16 no.5
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    • pp.349-354
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    • 2016
  • The purpose of this study was to evaluate the efficacy of the newly-developed $Qraypen^{TM}$ (All In One Bio, Korea) system for the diagnosis of early proximal caries by comparing it with the conventional methods of visual inspection and periapical radiography. This study was carried out from July 2015 to April 2016 targeting 32 children aged 7~12 years who visited Y-Dental Clinic for school oral health examinations. Two investigators selected and examined a total of 153 primary molars that had not undergone restorative treatment. Comparisons were carried out between visual inspections, readings of posterior periapical radiography images, and readings of $Qraypen^{TM}$ images. This study revealed that the percentage of interproximal surfaces of primary molar teeth without caries incidence was 83.7% using $Qraypen^{TM}$ imaging and 84.9% using visual inspection and periapical radiography. The differences between the two methods were not statistically significant. Thus, $Qraypen^{TM}$ is expected to be a useful and convenient auxiliary diagnostic device that can facilitate the detection of hidden proximal caries in primary molars.

Economic Value Evaluation of Ecosystem Services in Organic Rice-Fish Mixed Farming System in Paddy Wetland (벼-담수어 유기농 복합생태 논습지의 생태계서비스 경제적 가치평가)

  • Nam, Hongshik;Byeon, Youngwoong;Park, Keechoon;Park, Kwanglai;Lee, Youngmi;Han, Eunjung;Kim, Changhyun;Kong, Minjae;Son, Jinkwan
    • Journal of Wetlands Research
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    • v.22 no.4
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    • pp.286-294
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    • 2020
  • This study aims to economically evaluate rice production and various ecological services provided by organic rice paddy carrying out rice-fish mixed farming. It was also conducted to find a stable structure for increasing the income of rice-producing farmers and promoting ecological services by evaluating the economic feasibility of organic rice paddy for rice-fish mixed farming. As a result of the analysis of expected effects by ecological service functions according to the types of agriculture in the rice-fish mixed farming, general conventional paddy fields were evaluated to have an effect of continuously decreasing biodiversity such as amphibian reptiles, aquatic insects, bird habitats, experience and ecological education, and vegetation diversity, while the biodiversity of organic and rice-fish mixed paddy fields was assessed to increase. As a result of evaluating the economic value, as the area for fish production increases compared to the common practice and organic paddy fields, rice production decreases, but fish production increases and total income was analyzed to increase. In addition, if the value of ecosystem service functions is assessed in the future, it will increase further. It is hoped that these findings will be used as basic data for solving oversupply problems in the rice industry, preserving safe farm income, and improving sustainable farming and ecosystem service functions.

Establishment of Inundation Probability DB for Forecasting the Farmland Inundation Risk Using Weather Forecast Data (기상예보 기반 농촌유역 침수 위험도 예보를 위한 침수 확률 DB 구축)

  • Kim, Si-Nae;Jun, Sang-Min;Lee, Hyun-Ji;Hwang, Soon-Ho;Choi, Soon-Kun;Kang, Moon-Seong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.4
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    • pp.33-43
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    • 2020
  • In order to reduce damage from farmland inundation caused by recent climate change, it is necessary to predict the risk of farmland inundation accurately. Inundation modeling should be performed by considering multiple time distributions of possible rainfalls, as digital forecasts of Korea Meteorological Administration is provided on a six-hour basis. As building multiple inputs and creating inundation models take a lot of time, it is necessary to shorten the forecast time by building a data base (DB) of farmland inundation probability. Therefore, the objective of this study is to establish a DB of farmland inundation probability in accordance with forecasted rainfalls. In this study, historical data of the digital forecasts was collected and used for time division. Inundation modeling was performed 100 times for each rainfall event. Time disaggregation of forecasted rainfall was performed by applying the Multiplicative Random Cascade (MRC) model, which uses consistency of fractal characteristics to six-hour rainfall data. To analyze the inundation of farmland, the river level was simulated using the Hydrologic Engineering Center - River Analysis System (HEC-RAS). The level of farmland was calculated by applying a simulation technique based on the water balance equation. The inundation probability was calculated by extracting the number of inundation occurrences out of the total number of simulations, and the results were stored in the DB of farmland inundation probability. The results of this study can be used to quickly predict the risk of farmland inundation, and to prepare measures to reduce damage from inundation.

Real Time Environmental Classification Algorithm Using Neural Network for Hearing Aids (인공 신경망을 이용한 보청기용 실시간 환경분류 알고리즘)

  • Seo, Sangwan;Yook, Sunhyun;Nam, Kyoung Won;Han, Jonghee;Kwon, See Youn;Hong, Sung Hwa;Kim, Dongwook;Lee, Sangmin;Jang, Dong Pyo;Kim, In Young
    • Journal of Biomedical Engineering Research
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    • v.34 no.1
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    • pp.8-13
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    • 2013
  • Persons with sensorineural hearing impairment have troubles in hearing at noisy environments because of their deteriorated hearing levels and low-spectral resolution of the auditory system and therefore, they use hearing aids to compensate weakened hearing abilities. Various algorithms for hearing loss compensation and environmental noise reduction have been implemented in the hearing aid; however, the performance of these algorithms vary in accordance with external sound situations and therefore, it is important to tune the operation of the hearing aid appropriately in accordance with a wide variety of sound situations. In this study, a sound classification algorithm that can be applied to the hearing aid was suggested. The proposed algorithm can classify the different types of speech situations into four categories: 1) speech-only, 2) noise-only, 3) speech-in-noise, and 4) music-only. The proposed classification algorithm consists of two sub-parts: a feature extractor and a speech situation classifier. The former extracts seven characteristic features - short time energy and zero crossing rate in the time domain; spectral centroid, spectral flux and spectral roll-off in the frequency domain; mel frequency cepstral coefficients and power values of mel bands - from the recent input signals of two microphones, and the latter classifies the current speech situation. The experimental results showed that the proposed algorithm could classify the kinds of speech situations with an accuracy of over 94.4%. Based on these results, we believe that the proposed algorithm can be applied to the hearing aid to improve speech intelligibility in noisy environments.