• Title/Summary/Keyword: Infrared analysis

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LED IT-based System sensor network transceiver module research (LED IT 기반 시스템 센서 네트워크 송수신 모듈 연구)

  • Jang, Tae-Su;Lee, Jun-Myung;Choi, Jung-Won;Kim, Yong-kab
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.11-12
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    • 2012
  • In this paper, efficient visible light communication technology LED (Light Emitting Diode) lighting through the existing infrared sensor used for performance analysis of transmitting and receiving is possible. LED utilizes lighting by changing light into electricity. Lighting features while maintaining the basic principles of flashing LED and PD (Photo Diode) to send and receive communications from LED lighting communication convergence principle be realized simultaneously enabling. Multiple IT applications under the basic structure of LED technology development, and the current was encountered in real life. LED lighting anywhere with wireless communication technology that can, in order to ~ 1m above the initial value by taking advantage of the system H/W and infrared sensors(PD) are widely used in the entire system that can improve the speed of visible light data transmission system is finished. LED module that is used to communicate whether the performance analysis, For forecasting and communication distance on the LED and infrared sensor configuration of the implementation of the research is to study about the possibility of application methods and indicates.

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The Motion Analysis of the limited Wrist Joint During Dart-Throwing Motion by Using Infrared Camera (적외선카메라를 이용한 다트던지기 운동에서의 제한된 손목관절 움직임 분석)

  • Park, Chan-Soo;Park, Jong-Il;Kim, Kwang Gi;Jang, Ik-Gyu;Kim, Tae-Yun;Lee, Sang lim;Baek, Goo Hyun
    • Journal of Biomedical Engineering Research
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    • v.34 no.2
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    • pp.55-62
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    • 2013
  • Wrist joints consist of irregularly shaped carpal bones and other complicated structures. Thus, evaluating the motion of a wrist joint is a challenging task. In this study, we used an infrared camera to perform a kinematic analysis of a dart-throwing motion. We measured the difference between the movement of a normal wrist and constrained wrist (wrist with a wrist glove) in the dart-throwing motion with thirty six healthy participants. We measured the ulna flexion - radial extension motion using the attached passive marker and analyzed it using Polygon software and SPSS. The pitch and yaw motions with a glove was bigger than the ones without a glove by 20 and 15 degrees, respectively. On the other hand, the roll motion without a glove was bigger than the one with a glove by 7 degree. Wilcoxon signed rank test (p<0.05) confirmed that there are significant differences between the motion with and without a glove. It was found that the magnitude of the pitch and yaw motion with a constrained wrist joint toward radial extension in dart-throwing motion is smaller than the one with a normal wrist joint. However, a normal wrist joint showed a bigger movement in the roll direction.

A case report : Iguana iguana with cystic calculus (녹색 이구아나의 방광결석증)

  • ;;Michael Fehr
    • Journal of Veterinary Clinics
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    • v.15 no.2
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    • pp.472-475
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    • 1998
  • A female Green iguana (Iguana iguana) was brought to the small animal clinic in Hannover Veterinary school because of anorexia and convulsion. Two months ago, the owner bought two iguanas, one female and one male and had to take a female to the one of local small animal clinic because she, born in 19931 didn't eat well and showed the tremor of the legs. The veterinarian suspected it to have a calcium deficiency and gave an injection of calcium and vitamin D3. But still during the last two months, the female iguana did only eat some lettuce while the other male ate lettuce, fruits and commercial cat-food ($Whiskas^{\circledR}$, Effem, Verden). It was not possible to evaluate the rations of these different "food-components". They are kept in the terrarium with water container. By palpation of the abdomen, hard thing like stone was palpated in the mid-region. The blood test wasn't carried out because of the difficulties of getting blood and because of her bad condition. It was firmly diagnosed as cystic calculus through radiography. Since the animal is in shock state already, the prognosis after surgery was bad. It was assumed to be too late to expect its surviving with the surgery carried out or without it. Cystotomy was performed in the cranial ventral paramedian incision in order to preserve the large ventral abdominal vein in the linen alba region. After two stay sutures ("holding suture" ) with 5-0 polyglactin 910 ($Vicryl^{\circledR}, Ethicon$) on the bladder, cystotomy was carried out and the stone inside was removed. Then, the bladder was closed in one-layer sutures. The abdomen was closed in simple interrupted suture with same material after the instillation of 10 ml saline solution into the abdominal cavity. The cystic calculus was in a size of $5.8{\times} 5.O{\times} 3.5 cm$. The analysis of the stone was carried out in two ways which are the infrared spectroscopy of the stone and quick analysis by $Merckognost^{\circledR}$(Diagnostica Merck, Merck). In the result of the infrared spectroscopy, the stone wee composed of 10% ammonium urate and 90% dihydrated uric acid. This iguana wasn't able to survive.n't able to survive.

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Prediction of the Chemical Composition and Fermentation Parameters of Winter Rye Silages by Near Infrared Spectroscopy

  • Park, Hyung Soo;Lee, Sang Hoon;Choi, Ki Choon;Lim, Young Cheol;Kim, Ji Hea;Lee, Ki Won;Choi, Gi Jun
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.34 no.3
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    • pp.209-213
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    • 2014
  • This study was carried out to explore the accuracy of near infrared spectroscopy (NIRS) for the prediction of chemical and fermentation parameters of whole crop winter rye silages. A representative population of 216 fresh winter rye silages was used as database for studying the possibilities of NIRS to predict chemical composition and fermentation parameters. Samples of silage were scanned at 1 nm intervals over the wavelength range 680~2,500 nm and the optical data recorded as log 1/Reflectance (log 1/R) and scanned in fresh condition. NIRS calibrations were developed by means of partial least-squares (PLS) regression. NIRS analysis of fresh winter rye silages provided accurate predictions of moisture, acid detergent fiber (ADF), neutral detergent fiber (NDF), crude protein (CP) and pH as well as lactic acid content with correlation coefficients of cross-validation ($R^2cv$) of 0.96, 0.86, 0.79, 0.85, 0.82 and 0.78 respectively and standard error of cross-validation (SECV) of 1.89, 2.02, 2.79, 1.14, 1.47 and 0.46 % DM respectively. Results of this experiment showed the possibility of NIRS method to predict the chemical parameters of winter rye silages as routine analysis method in feeding value evaluation and for farmer advice.

근적외 분광분석법을 이용한 한국산과 미국산 잎담배의 판별분석

  • 장기철;김용옥;이경구
    • Journal of the Korean Society of Tobacco Science
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    • v.20 no.2
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    • pp.191-197
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    • 1998
  • Discriminant analysis using near infrared spectra derived from Korean Flue-cured(KF) and American Flue-cured(AF), and also Korean Burley(KB) and American Burley(AB) tobacco was done to classify flue-cured and burley tobacco as either grown in Korea or grown in the USA. Samples were scanned in the wavelength of 400 ~ 2500 nm by near infrared analyzer(NIRSystem Co., model 6500). The discrimination equations for flue-cured and burley tobacco were developed using partial least square 2 method in Infrasoft International NIRS 3 software package. KF samples used for the development of the discrimination equations were higher contents of total sugar, crude ash and chlorine, and higher value of leaf density and brightness, but lower contents of nicotine, total nitrogen and ether extracts, and higher value of redness than those of AF samples. KB samples were higher contents of nicotine, crude ash and chlorine, but lower contents of ether extracts and value of brightness than those of AB samples. On 3 dimensional graph drawn with 3 principal component scores calculated with 3 principal component from KF and KB sample spectra, KF sample spectra were significantly different from AF, and also KB sample spectra were significantly different from AB. The discrimination equations of flue-cured and burley were developed with 3 principal component, respectively. The discrimination equations for flue-cured and burley had a standard error of 0.03 and 0.04, and a R2 of 0.88 and 0.84, respectively. The tobacco samples used for the development of discrimination equation were perfectly classified as KF and AF by flue-cured discrimination equation, and also perfectly classified KB and AB by burley discrimination equation, respectively. The correct classification rates of KF and AF samples not used for the development of discrimination equations were 9S % (828 out of 869 samples) and 98 % (98 out of 100 samples) by flue-cured discrimination equations, and KB and AB samples were 94%(345 out of 368 samples) and 100%(42 out of 42 samples) by burley discrimination equations, respectively.

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Rapid and Nondestructive Discrimination of Fusarium Asiaticum and Fusarium Graminearum in Hulled Barley (Hordeum vulgare L.) Using Near-Infrared Spectroscopy

  • Lim, Jong Guk;Kim, Gi Young;Mo, Chang Yeun;Oh, Kyoung Min;Kim, Geon Seob;Yoo, Hyeon Chae;Ham, Hyeon Heui;Kim, Young Tae;Kim, Seong Min;Kim, Moon S.
    • Journal of Biosystems Engineering
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    • v.42 no.4
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    • pp.301-313
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    • 2017
  • Purpose: This study was conducted to discriminate between normal hulled barley and Fusarium (Fusarium asiaticum and Fusarium graminearum) infected hulled barley by using the near-infrared spectroscopy (NIRS) technique. Methods: Fusarium asiaticum and Fusarium graminearum were artificially inoculated in hulled barley and the reflectance spectrum of the barley spike was obtained by using a near-infrared spectral sensor with wavelength band in the range 1,175-2,170 nm. After obtaining the spectrum of the specimen, the hulled barley was cultivated in a greenhouse and visually inspected for infections. Results: From a partial least squares discriminant analysis (PLS-DA) prediction model developed from the raw spectrum data of the hulled barley, the discrimination accuracy for the normal and infected hulled barley was 99.82% (563/564) and 100% (672/672), respectively. Conclusions: NIRS is effective as a quick and nondestructive method to detect whether hulled barley has been infected with Fusarium. Further, it expected that NIRS will be able to detect Fusarium infections in other grains as well.

Possibility of the Nondestructive Quality Evaluation of Apples using Near-infrared Spectroscopy (근적외 분광분석법을 응용한 사과의 비파괴 품질 측정 가능성 조사)

  • Sohn, Mi-Ryeong;Kwon, Young-Kil;Lee, Kyung-Hee;Park, Woo-Churl;Cho, Rae-Kwang
    • Applied Biological Chemistry
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    • v.41 no.2
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    • pp.153-159
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    • 1998
  • A possibility of evaluation of the major internal quality factors-Brix, moisture contents, firmness and acid content in the Korean domestic 'Fuji'apple fruits by near-infrared reflectance spectroscopic (NIRS) methods were investigated. A multiple linear regression(MLR) analysis between the data obtained by physico- chemical analysis method using refractometer, freeze drier, texture analyzer and titrater and NIR spectral data was carried out to make a calibration. The standard error of prediction(SEP) of Brix, moisture, firmness and acid content were $0.50^{\circ}Brix,\;0.64%,\;0.14kg/cm^2$ and 0.07%. It is concluded that NIRS methods can be used to evaluate Brix and moisture contents of in a apple non-destructive and rapid way but the accuracy for determination of firmness and acid content was slightly low.

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Comparative Analysis of the Heart Rate Variability, Body Composition, Digital Infrared Thermal Imaging and Electro Pulse Graph Between Primary Dysmenorrhea Patients and Secondary Dysmenorrhea Patients (원발성 월경통 환자와 속발성 월경통 환자의 심박변이도, 체성분, 적외선 체열 촬영, 맥전도 검사 상 특징 비교 고찰)

  • Lee, Su-Jeong;Ji, Hae-Ri;Hwang, Deok-Sang;Lee, Chang-Hoon;Jang, Jun-Bock;Lee, Jin-Moo
    • The Journal of Korean Obstetrics and Gynecology
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    • v.32 no.4
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    • pp.25-38
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    • 2019
  • Objectives: The purpose of this study is to analysis differences of heart rate variability (HRV), body composition, digital infrared thermal imaging (DITI), and electro pulse graph by whether there are some causes of dysmenorrhea or not. Methods: We studied 89 patients who took at least one test among HRV, Body composition, DITI, and electro pulse graph visiting Kyung Hee University Hospital at Gangdong from March 1, 2014 to May 7, 2019. Results: There were statistically significant differences in Low frequency (LF), LF norm and High frequency norm (HF norm) of HRV between primary dysmenorrhea patients and secondary dysmenorrhea patients. There were statistically significant differences in Body Mass Index (BMI) and body fat percentage of Body composition between two groups. But both BMI were included in normal range. There were no statistically significant difference in DITI results. And there was significant difference of Estimated circulation resistance (ECR) between two groups. Conclusions: The results suggest that hormone imbalance of secondary dysmenorrhea patients can affect HRV results. And because of high ECR, phlegm pathology can be more considered in secondary dysmenorrhea patients. Further study should be conducted to confirm the results of body composition and DITI differences.

Extraction of dietary fibers from cassava pulp and cassava distiller's dried grains and assessment of their components using Fourier transform infrared spectroscopy to determine their further use as a functional feed in animal diets

  • Okrathok, Supattra;Thumanu, Kanjana;Pukkung, Chayanan;Molee, Wittawat;Khempaka, Sutisa
    • Animal Bioscience
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    • v.35 no.7
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    • pp.1048-1058
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    • 2022
  • Objective: The present study was to investigate the extraction conditions of dietary fiber from dried cassava pulp (DCP) and cassava distiller's dried grains (CDG) under different NaOH concentrations, and the Fourier transform infrared (FTIR) was used to determine the dietary fiber components. Methods: The dried samples (DCP and CDG) were treated with various concentrations of NaOH at levels of 2%, 4%, 6%, and 8% using a completely randomized design with 4 replications of each. After extraction, the residual DCP and CDG dietary fiber were dried in a hot air oven at 55℃ to 60℃. Finally, the oven dried extracted dietary fiber was powdered to a particle size of 1 mm. Both extracted dietary fibers were analyzed for their chemical composition and determined by FTIR. Results: The DCP and CDG treated with NaOH linearly or quadratically or cubically (p<0.05) increased the total dietary fiber (TDF) and insoluble fiber (IDF). The optimal conditions for extracting dietary fiber from DCP and CDG were under treatment with 6% and 4% NaOH, respectively, as these conditions yielded the highest TDF and IDF contents. These results were associated with the FTIR spectra integration for a semi-quantitative analysis, which obtained the highest cellulose content in dietary fiber extracted from DCP and CDG with 6% and 4% NaOH solution, respectively. The principal component analysis illustrated clear separation of spectral distribution in cassava pulp extracted dietary fiber (DFCP) and cassava distiller's dried grains extracted dietary fiber (DFCDG) when treated with 6% and 4% NaOH, respectively. Conclusion: The optimal conditions for the extraction of dietary fiber from DCP and CDG were treatment with 6% and 4% NaOH solution, respectively. In addition, FTIR spectroscopy proved itself to be a powerful tool for fiber identification.

Objective Cloud Type Classification of Meteorological Satellite Data Using Linear Discriminant Analysis (선형판별법에 의한 GMS 영상의 객관적 운형분류)

  • 서애숙;김금란
    • Korean Journal of Remote Sensing
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    • v.6 no.1
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    • pp.11-24
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    • 1990
  • This is the study about the meteorological satellite cloud image classification by objective methods. For objective cloud classification, linear discriminant analysis was tried. In the linear discriminant analysis 27 cloud characteristic parameters were retrieved from GMS infrared image data. And, linear cloud classification model was developed from major parameters and cloud type coefficients. The model was applied to GMS IR image for weather forecasting operation and cloud image was classified into 5 types such as Sc, Cu, CiT, CiM and Cb. The classification results were reasonably compared with real image.