• Proceedings of the Optical Society of Korea Conference
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• 2009.10a
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• pp.151-152
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• 2009

최근 신경과학 분야에서 대뇌피질 영역 간 연관성 분석은 신경학적 질병 (자폐증, 간질, 정신 분열증)의 분석 및 진단에 적용되고 있다. 기존 대뇌피질 영역 간 연관성 분석은 뇌전도 (EEG), 기능적 자기공명영상 (fMRI), 뇌자도 (MEG)등이 이용되었지만, 뇌전도의 낮은 공간분해능, 기능적 자기공명영상의 낮은 시분해능 등은 영역 간 연관성 분석에 단점으로 작용되고 있다. 반면, 근적외선 분광법(NIRS)은 대뇌피질에서의 혈류변화(oxy-, deoxy-hemoglobin)를 비침습적이며 빠른 시분해능으로 측정할 수 있는 방법으로 최근 신경과학 분야에 응용되고 있다 [1-2]. 본 논문에서는 근적외선 분광법을 이용한 대뇌피질영역 간 연관성 분석의 효용성을 입증하기 위해, 쥐의 수염자극 시 대응되는 지역 (일차-, 이차 체감각피질, 일차 운동피질 영역)에서의 혈류변화 신호의 영역 간 연관성 분석을 하였다. 본 연구결과에 의하면 수염자극 시 일차-, 이차 체감각피질 영역에서의 방향성은 확인할 수 없었고, 일차-, 이차 체감각피질 영역에서 일차 운동피질영역으로의 방향성은 확인할 수 있었다. 본 결과는 기존 수염자극 시 활성화되는 전기신호의 패턴과 일치하며, 향후 신경과학적 질병의 분석 및 진단에 근적외선을 이용한 대뇌피질 영역 간 연관성 분석이 유용할 수 있음을 보여준다.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.991-1000
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• 2021

Among non-invasive blood glucose detection technologies, the optical technique is a method that uses light reflection, absorption, and scattering characteristics when passing through a biological medium. It reduces pain or discomfort in measurement and has no risk of infection. So it is becoming a major flow of blood glucose detection research. Among them, near-infrared spectroscopy has a disadvantage in that the complexity increases when analyzing signals detected due to interferences between proteins and acids that share a similar absorption function with blood glucose molecules. In this study, a non-invasive sensor system with multiple near-infrared bands was designed and manufactured to alleviate the deterioration of blood glucose detection function that may occur due to skin absorption of near-infrared rays. A blood survey was conducted to verify the system, and the degree of blood glucose response in the blood was collected as spectral data, and the results of this study were quantitatively verified in terms of correlation between the data and blood glucose.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.323-330
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• 2021

In this study, we intended to examine the difference in brain activation due to dominant and non-dominant hands using functional near-infrared spectroscopy(fNIRS) in 10 healthy adults. Box & Block Test(BBT) was conducted under two conditions: dominant hand and non-dominant hand. During the experiment, brain activity was measured using fNIRS and signals were analyzed using nirsLAB v2019.04 software after the experiment was completed. As a result, 6 out of 10 people showed activation of the cerebral hemisphere related to the dominant hand, and only 3 out of 10 people showed activation of the cerebral hemisphere related to the non-dominant hand. In other words, both dominant and non-dominant hand cconfirmed that the cerebral hemispheres related to dominant hands were more active. Therefore, it is believed that fNIRS can be used as a fundamental data applicable to children with sensory processing disorders that are difficult to identify dominant hand.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1999.07a
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• pp.282-289
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• 1999

선별은 청과물을 포장하기 이전에 크기, 중량, 색깔등 정해진 규격에 따라 고르는 과정을 말하고, 크게 인력선별과 기계선별, 개별선별과 공동선별로 구분한다. 국내의 경우 아직까지도 수확된 청과물은 농가단위로 개별선별하고 있으며, 중량식 선별기를 이용하여 등급선별 한 후 15kg, 10kg 상자에 포장하는 것이 가장 일반적이다. 근래에 청과물의 부가가치를 높이기 위해서 중량에 색깔을 선별할 수 있는 기능을 추가한 기계시스템이 개발되어 산업화된 바 있다(최 등, 1997). 또한 근적외선 분광분석법을 이용하여 과일의 당도를 비파괴적으로 측정 선별할 수 있는 시스템이 개발 실용화 단계에 있다(이 등, 1998). (중략)

• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.1
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• pp.29-36
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• 2021

Recently, phytochemicals in whole grains have received increasing attention because the increased consumption of whole grains and whole grain products has been associated with a reduced risk of chronic diseases. Among the phytochemicals in whole wheat, arabinoxylan influences various physiological activities and can aid the treatment of numerous health conditions, either directly or indirectly. In this study, 614 wheat germplasms, collected from the world, were cultivated in 2018 and harvested in 2019 in South Korea. The qualities of these whole grains, including seed protein content, were evaluated using the NIR spectrophotometric method, and arabinoxylan content was determined using enzymatic methods. The ash content was 0.36 to 2.80% and protein content was 7.66 to 20. The SDS-sedimentation for gluten complex ability ranged from 26.85 to 80.63 mL, and protein content showed a high correlation with SDS-sedimentation in the germplasms. Verify the result of the enzymatic method of arabinoxylan, the reliability of the experimental method was determined through repeatability, reproducibility, and recovery. The average value of the 614 resources was 51.64 mg/g of whole grain, and when classified according to the country of origin, the South Korean origin resources tended to have a higher content compared to the genetic resources of other countries. These results are expected to be used as basic data for setting standards for whole grain quality in wheat breeding systems.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.1-7
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• 2022

With the development of artificial intelligence, efforts to incorporate neuroscience mining with AI have increased. Neuroscience mining, also known as NSM, expands on this concept by combining computational neuroscience and business analytics. Using fNIRS (functional near-infrared spectroscopy)-based experiment dataset, we have investigated the potential of NSM in the context of the BPSC (business problem-solving creativity) prediction. Although BPSC is regarded as an essential business differentiator and a difficult cognitive resource to imitate, measuring it is a challenging task. In the context of NSM, appropriate methods for assessing and predicting BPSC are still in their infancy. In this sense, we propose a novel NSM method that systematically combines CNN, BiLSTM, and attention network for the sake of enhancing the BPSC prediction performance significantly. We utilized a dataset containing over 150 thousand fNIRS-measured data points to evaluate the validity of our proposed NSM method. Empirical evidence demonstrates that the proposed NSM method reveals the most robust performance when compared to benchmarking methods.

• Journal of Animal Environmental Science
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• v.18 no.sup
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• pp.81-90
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• 2012

This study was evaluated high end research grade Near infrared spectrophotometer (NIRS) to low end popular field grade multiple Near infrared spectrophotometer (NIRS) for rapid analysis at forage quality at sight with 241 samples of Italian ryegrass silage during 3 years collected whole country for evaluate accuracy and precision between instruments. Firstly collected and build database high end research grade NIRS using with Unity Scientific Model 2500X (650 nm~2,500 nm) then trim and fit to low end popular field grade NIRS with Unity Scientific Model 1400 (1,400 nm~2,400 nm) then build and create calibration, transfer calibration with special transfer algorithm. The result between instruments was 0.000%~0.343% differences, rapidly analysis for chemical constituents, NDF, ADF, and crude protein, crude ash and fermentation parameter such as moisture, pH and lactic acid, finally forage quality parameter, TDN, DMI, RFV within 5 minutes at sight and the result equivalent with laboratory data. Nevertheless during 3 years collected samples for build calibration was organic samples that make differentiate by local or yearly bases etc. This strongly suggest population evaluation technique needed and constantly update calibration and maintenance calibration to proper handling database accumulation and spread out by knowledgable control laboratory analysis and reflect calibration update such as powerful control center needed for long lasting usage of forage analysis with NIRS at sight. Especially the agriculture products such as forage will continuously changes that made easily find out the changes and update routinely, if not near future NIRS was worthless due to those changes. Many research related NIRS was shortly study not long term study that made not well using NIRS, so the system needed check simple and instantly using with local language supported signal methods Global Distance (GD) and Neighbour Distance (ND) algorithm. Finally the multiple popular field grades instruments should be the same results not only between research grade instruments but also between multiple popular field grade instruments that needed easily transfer calibration and maintenance between instruments via internet networking techniques.