• Korean Journal of Environmental Agriculture
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• v.39 no.3
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• pp.263-272
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• 2020

BACKGROUND: This paper describes the successful discrimination of GM crops from the respective wild type (WT) controls using spectroscopy and chemometric analysis. Despite the many benefits that GM crops, their development has raised concerns, particularly about their potential negative effects on food production and the environment. From this point of view, the introduction of GM crops into the market requires the development of rapid and accurate identification technologies to ensure consumer safety. METHODS AND RESULTS: The development of a GM crop discrimination model using spectroscopy involved the pre-processing of the collected spectral information, the selection of a discriminant model, and the verification of errors. Examples of GM versus WT discrimination using spectroscopy are available for soybeans, tomatoes, corn, sugarcane, soybean oil, canola oil, rice, and wheat. Here, we found that not only discrimination but also cultivar grouping was possible. CONCLUSION: Since for the determination of GM crop there is no pre-defined pre-processing method or calibration model, it is extremely important to select the appropriate ones to increase the accuracy in a case-by-case basis.

• Journal of Sasang Constitutional Medicine
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• v.15 no.1
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• pp.39-49
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• 2003

1. The purpose of study The problem lies in the Sasang-constitutional-medicine is a subjectiveness of diagnosis that can be varied by every donor. Questionnare for the Sasang Constitution Classification II(QSCCII) was invented to solve this problem. This study was conducted for two purpose. The one is re-value the QSCCII. The other is to make a basis to upgrade QSCCII. 2. The method of study QSCCII was administered to 537 patients at Kyung Hee Oriental Medicine Hospital. Data was collected during 19 months from september 2000 to march 2002. For the purpose of this study, the collected data was analyzed by crosstabs, variation analysis and discrimination analysis. The analyzing program was SPSS 8.0 for Windows. And using this program I made the judgmental equation to re-value the QSCCII. 3. The result of study 1) not applied intensifying value The diagnostic discrimination abilities of the QSCCII is 61.5% about Taeyangin, 57.7% about Soyangin, 67.2% about Taeumin, 68.8% about Soemin. And its average is 65.0%. 2) applied intensifying value The diagnostic discrimination abilities of the QSCCII is 76.9% about Taeyangin, 59.9% about Soyangin, 68.9% about Taeumin, 71.2% about Soemin. And its average is 67.3%. 3) I propose a new diagnostic possibility with a different discriminant analysis and increase 42.3% of diagnostic discrimination ability considering 25% of accident diagnostic discrimination ability. 4) Development and complement of Taeyangin and Soyangin questions is needed to increase the accuracy of diagnosis.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.1-12
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• 2021

An objective expert discrimination scheme is needed for finding researchers who have insight and knowledge about a particular field of research. There are two types of expert discrimination schemes such as a citation graph based method and a formula based method. In this paper, we propose an efficient expert discrimination scheme considering various characteristics that have not been considered in the existing formula based methods. In order to discriminate the expertise of researchers, we present six expertise indices such as quality, productivity, contributiveness, recentness, accuracy, and durability. We also consider the number of social citations to apply the characteristics of academic search sites. Finally, we conduct various experiments to prove the validity and feasibility of the proposed scheme.

• Korean Journal of Oriental Medicine
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• v.14 no.2
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• pp.41-46
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• 2008

The study was to investigate the agreement rate between the statistical diagnosis of pattern identification by discriminant analysis and the clinical diagnosis of pattern identification by medical specialist in obese patients with BMI$\geqq$23. The agreement rate of deficiency of the spleen, phlegm-retention, deficiency of Yang, retention of undigested food, stagnation of liver Gi, and blood stagnation are 0.40, 0.33, 0.52, 0.76, 0.71, and 0.66, respectively and accuracy rate and prediction rate using linear discriminant function are 0.59 and 0.61, respectively. Therefore, the complementary management in CRF questionnaires and/or consultation from experts will improve the accuracy and prediction rate, which will be helpful for pattern identification of obesity by clinical experts.

• Journal of Biosystems Engineering
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• v.38 no.4
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• pp.318-326
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• 2013

Purpose: We developed a viability evaluation method for cucumber (Cucumis sativus) seed using hyperspectral reflectance imaging. Methods: Reflectance spectra of cucumber seeds in the 400 to 1000 nm range were collected from hyperspectral reflectance images obtained using blue, green, and red LED illumination. A partial least squares-discriminant analysis (PLS-DA) was developed to predict viable and non-viable seeds. Various ranges of spectra induced by four types of LEDs (Blue, Green, Red, and RGB) were investigated to develop the classification models. Results: PLS-DA models for spectra in the 600 to 700 nm range showed 98.5% discrimination accuracy for both viable and non-viable seeds. Using images based on the PLS-DA model, the discrimination accuracy for viable and non-viable seeds was 100% and 99%, respectively Conclusions: Hyperspectral reflectance images made using LED light can be used to select high quality cucumber seeds.

• Nuclear Engineering and Technology
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• v.55 no.11
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• pp.3925-3934
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• 2023

The importance of fast neutron detection for nuclear safeguards purposes has increased due to its potential advantages such as reasonable cost and higher precision for larger sample masses of nuclear materials. Pulse-shape discrimination (PSD) is inevitably used to discriminate neutron- and gamma-ray- induced signals from organic scintillators of very high gamma sensitivity. The light output (LO) threshold corresponding to several MeV of recoiled proton energy could be necessary to achieve fine PSD performance. However, this leads to neutron count losses and possible distortion of results obtained by neutron multiplicity counting (NMC)-based nuclear material accountancy (NMA). Moreover, conventional PSD techniques are not effective for counting of neutrons in a high-gamma-ray environment, even under a sufficiently high LO threshold. In the present work, PSD performance (figure-of-merit, FOM) according to LO bands was confirmed using a conventional charge comparison method (CCM) and compared with results obtained by convolution neural network (CNN)-based PSD algorithms. Also, it was attempted, for the first time ever, to reject fake neutron signals from distorted PSD regions where neutron-induced signals are normally detected. The overall results indicated that higher neutron detection efficiency with better accuracy could be achieved via CNN-based PSD algorithms.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.3
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• pp.263-267
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• 2005

Building classifiers for financial real-world classification problems is often plagued by severely overlapping and highly skewed class distribution. New performance measures such as receiver operating characteristic (ROC) curve and area under ROC curve (AUC) have been recently introduced in evaluating and building classifiers for those kind of problems. They are, however, in-effective to evaluation of classifier's discrimination performance in a particular class of the classification problems that interests lie in only a local operating range of the classifier, In this paper, a new method is proposed that enables us to directly improve classifier's discrimination performance at a desired local operating range by defining and optimizing a partial area under ROC curve or domain-specific curve, which is difficult to achieve with conventional classification accuracy based learning methods. The effectiveness of the proposed approach is demonstrated in terms of fraud detection capability in a real-world fraud detection problem compared with the MSE-based approach.

• Proceedings of the KSMRM Conference
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• 2002.11a
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• pp.138-138
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• 2002

To determine the accuracy of magnetic resonance (MR) imaging for discrimination between intervertebral disk extrusion versus protrusion. MR images of 80 patients who had MR imaging of the spine and confirmed as intervertebral disk extrusion or protrusion were retrospectively reviewed by an experienced musculoskeletal radiologist. A 1.5-T scanner was used. After review of medical records, MR findings of disk extrusion and protrusion were compared using the chi-square test. Intraobserver agreement for differentiation of disk extrusion from protrusion was calculated by using coefficient.

• MALSORI
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• no.61
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• pp.113-123
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• 2007

The environmental differences between training and testing mode are generally considered to be the critical factor for the performance degradation in speaker recognition systems. Especially, general speaker recognition systems try to get as clean speech as possible to train the speaker model, but it's not true in real testing phase due to environmental and channel noise. So in this paper, the new method of weighting the frame-based likelihood according to frame SNR is proposed in order to cope with that problem. That is to make use of the deep correlation between speech SNR and speaker discrimination rate. To verify the usefulness of this proposed method, it is applied to the context dependent speaker identification system. And the experimental results with the cellular phone speech DB which is designed by ETRI for Koran speaker recognition show that the proposed method is effective and increase the identification accuracy by 11% at maximum.

• Journal of Sasang Constitutional Medicine
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• v.25 no.4
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• pp.289-296
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• 2013

Objectives This study was aimed to validate Sasang Constitution Questionnaire for Japanese (SSCQ-J). Methods Sasang Constitution Questionnaire for Patients (SSCQ-P) was developed by joint researches between the Society of Sasang Constitutional Medicine and Korea Institute of Oriental Medicine. We translated SSCQ-P into Japanese and modified some items of that for Japanese. By getting approval from the Institutional Review Board（IRB）of School of Medicine, Keio University, we conducted a questionnaire survey of patients who visited Oriental Medicine Center from early January until mid-February 2011. The total of 364 patients filled out that Questionnaire and gave an interview with a Sasang constitution specialist. Using this Questionnaire data, we made Sasang constitutional classification functions and calculated diagnostic accuracy rate of SSCQ-J using discrimination analysis. Results 1. Male group's diagnostic accuracy rate of SSCQ-J was 77.01% and female was 78.10%. 2. Diagnostic accuracy of SSCQ-J was a little higher than SSCQ-P Conclusions 1. SSCQ-J can be considered to have good discriminant power compared with SSCQ-P 2. Further research with SSCQ-J will be helpful in the comparison study on the usual symptoms between Korean and Japanese as well as development of good discriminant function.