• Title/Summary/Keyword: data extract

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Extraction of GCP from nighttime AVHRR image

  • Tamba, Sumio;Iikura, Yoshikazu
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.770-772
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    • 2003
  • In this paper, to correct the error, we propose a method to estimate a correction data based on observation data obtained from MUBEX campaign. Many heat spots are correspond to industrial area including steel plant, power plant and so on. Heat spot transmits some kinds of thin cloud because it emits large radiance, so that it is possible to extract GCP from the area under the thin cloud.

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Two Isoflavonoid Glucoside Derivatives from Ononis serrata Growing in Egypt

  • Abdel-Kader, Maged S.
    • Natural Product Sciences
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    • v.10 no.6
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    • pp.321-324
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    • 2004
  • The n-butanol soluble fraction of the extract obtained from the whole plants of Ononis serrata afforded the pterocarpan derivative medicarpin-3-O-glucoside and the isoflavone glucoside rothindin. Structures were elucidated by chemical methods, detailed spectral analyses as well as comparison with the literature data.

Effects of Imperatae Rhizoma Extract on T helper 2 cell differentiation (백모근 추출물의 T helper 2 세포 분화 조절 효과)

  • Kim, Bok-Kyu;Lim, Jong-Soon;Kil, Ki-Jung
    • The Korea Journal of Herbology
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    • v.29 no.6
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    • pp.27-33
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    • 2014
  • Objectives : The aims of this study were to exploring the therapeutic effect of Imperatae Rhizoma Extract(IRE) on Asthma. Methods : To investigate biological modulation activities of IRE, we conducted the cell-based assay whether IRE could regulate T helper 2 cells activity with EL4 T cells and mouse splenocytes, and followed animal study to conform the efficacy of their therapeutic potential on OVA-induced asthmatic mouse. Results : In cell study, IRE suppress the nuclear translocation of GATA binding protein-3 protein in phorbol 12-myristate 13-acetate/Ionomycin-stimulated EL4 T cells and Interleukine(IL)-4, IL-5 and IL-13 production in splenocytes at concentration dependent manner. In animal study, IRE-treated groups both 100mg/ml and 200mg/ml improve airway hypersensitibility reaction(AHR) response to methacholine about 30% and 40% with positive control group. Peritoneal blood analysis reveal that eosinophil number and ovalbumin-specific IgE is reduced by IRE treatment. Cell number of eosinophil is also reduced in bronchoalveolar lavage of IRE group like to peritoneal cell and real time-polymerase chain reaction data show that expression levels of IL-4, IL-5 and IL-13 were down regulated in lung tissue. Finally, histological analysis indicate that IRE protect the bronchial tissue damages through the accumulation of inflammatory cells and collagen, and these effect may be cause by interfering Th2 cells activity. Conclusions : Our data represent that IRE potentiates therapeutic activities to the allergic diseases such as asthma by regulating Th2 cells differentiation.

Effect of Water Extract of Carthamus tinctorious L. on In Vitro Activity of T and B Lymphocytes (시험관내에서 홍화의 물 추출물이 T 및 B 림프구의 활성에 미치는 영향)

  • Choi, Youn-Hwa;Do, Jeong-Su;Nam, Sang-Yun
    • Korean Journal of Pharmacognosy
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    • v.35 no.4 s.139
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    • pp.330-337
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    • 2004
  • Based on the traditional application of Carthamus tinctorious L. (CF) as a component of Korean medicinal decoctions, in the present study, we investigated in vitro an immunomodulatory activity of water extract of CF(WECF). Water extract of CF significantly increased the in vitro proliferative responses of spleen cells (SPC). However, addition of WECF during anti-CD3 activation resulted in a significant decrease in SPC proliferation. Flow cytometric analysis showed that WECF addition chanced T and B cell frequencies in anti-CD3-activated spleen cell populations. Using purified cells, it was revealed that WECF is mitogenic to B cells but rather inhibitory to T cell Proliferation. Upon anti-CD3 stimulation, high concentration (1 mg/ml) of WECF significantly inhibited T cell proliferation until day 2 of stimulation. At day 3, anti-CD3-activated cells exposed to WECF recovered their proliferation to the level comparable to control. Although B cell proliferation was also inhibited in proliferation at day 1, it recovered sooner and then was rather augmented by WECF at day 3. These data indicate that WECF down-regulates lymphocyte proliferation at early phase of activation but T cells are more vulnerable than B cells to WECF, However, CD4+ and CD8+ T cells did not differ in WECF-mediated immunotoxicity. Data of propidium iodide (PI) staining showed that WECF accelerates activated T cell, but not B cell, apoptosis and WECF concurrently inhibited cytokine production of activated T cells. Taken together, WECF exhibits B cell mitogenic activity and differential toxicity more pronounced to T cells, suggesting a possible in vivo application of WECF for specific control of T cells without alteration of B cell activity.

Nonlinear Feature Extraction using Class-augmented Kernel PCA (클래스가 부가된 커널 주성분분석을 이용한 비선형 특징추출)

  • Park, Myoung-Soo;Oh, Sang-Rok
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.5
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    • pp.7-12
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    • 2011
  • In this papwer, we propose a new feature extraction method, named as Class-augmented Kernel Principal Component Analysis (CA-KPCA), which can extract nonlinear features for classification. Among the subspace method that was being widely used for feature extraction, Class-augmented Principal Component Analysis (CA-PCA) is a recently one that can extract features for a accurate classification without computational difficulties of other methods such as Linear Discriminant Analysis (LDA). However, the features extracted by CA-PCA is still restricted to be in a linear subspace of the original data space, which limites the use of this method for various problems requiring nonlinear features. To resolve this limitation, we apply a kernel trick to develop a new version of CA-PCA to extract nonlinear features, and evaluate its performance by experiments using data sets in the UCI Machine Learning Repository.

Using Neural Network Algorithm for Bead Visualization (뉴럴 네트워크 알고리즘을 이용한 비드 가시화)

  • Koo, Chang-Dae;Yang, Hyeong-Seok;Kim, Jung-Yeong;Shin, Sang-Ho
    • Journal of Welding and Joining
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    • v.31 no.5
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    • pp.35-40
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    • 2013
  • In this paper, we propose the Tangible Virtual Reality Representation Method to using haptic device and feature to morphology of created bead from Flux Cored Arc Welding. The virtual reality was started to rising for reduce to consumable materials and welding training risk. And, we will expected maximize virtual reality from virtual welding training. In this paper proposed method is get the database to changing the input factor such as work angle, travelling angle, speed, CTWD. And, it is visualization to bead from extract to optimal morphological feature information to using the Neural Network algorithm. The database was building without error to extract data from automatic robot welder. Also, the Neural Network algorithm was set a dataset of the highest accuracy from verification process in many times. The bead was created in virtual reality from extract to morphological feature information. We were implementation to final shape of bead and overlapped in process by time to using bead generation algorithm and calibration algorithm for generate to same bead shape to real database in process of generating bead. The best advantage of virtual welding training, it can be get the many data to training evaluation. In this paper, we were representation bead to similar shape from generated bead to Flux Cored Arc Welding. Therefore, we were reduce the gap to virtual welding training and real welding training. In addition, we were confirmed be able to maximize the performance of education from more effective evaluation system.

The Effect of Chunggan Plus Extract in Improving Liver Function: A Retrospective Case Series of Eight Patients (청간플러스의 간기능 개선 효과 : 후향적 증례보고 8례)

  • Lee, Ga-young;Park, Chan-ran;Cho, Jung-hyo;Son, Chang-gue;Lee, Nam-hun
    • The Journal of Internal Korean Medicine
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    • v.41 no.3
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    • pp.542-551
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    • 2020
  • Objectives: The purpose of this study was to retrospectively assess the effectiveness of Chunggan plus extract (CGX) in improving liver function in a Korean medical clinic. Methods: We collected the data of inpatients who received CGX to improve abnormal liver function test (LFT) results from March 2016 to February 2020. We analyzed the changes in LFT and adverse events based on subjective symptom changes and creatinine results. Results: The data of eight patients, three male and five female, were selected by inclusion criteria (patients who did LFT before and after the prescription of CGX and who prescribed CGX more than 6 days) and exclusion criteria (patients who administered other herbal medicine for improving liver function except CGX and who are diagnosed with terminal stage of hepatobiliary cancer). As a cause of abnormal LFT, one case was diagnosed with alcoholic liver disease, two cases with non-alcoholic fatty hepatitis, and one case with cholecystitis. Three of the other four were suspected to have drug-induced hepatitis, and one case was determined to have an unknown cause. Most patients showed a decrease in LFT results (Aspartate transaminase 87.5%, Alanine transaminase 87.5%, and Alkaline Phosphatase 100%) without any critical adverse events. Conclusions: CGX may be an efficient and convenient herbal medicine for improving liver function regardless of the chief impression. Further study should be conducted to evaluate the effectiveness of CGX.

An Automatically Extracting Formal Information from Unstructured Security Intelligence Report (비정형 Security Intelligence Report의 정형 정보 자동 추출)

  • Hur, Yuna;Lee, Chanhee;Kim, Gyeongmin;Jo, Jaechoon;Lim, Heuiseok
    • Journal of Digital Convergence
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    • v.17 no.11
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    • pp.233-240
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    • 2019
  • In order to predict and respond to cyber attacks, a number of security companies quickly identify the methods, types and characteristics of attack techniques and are publishing Security Intelligence Reports(SIRs) on them. However, the SIRs distributed by each company are huge and unstructured. In this paper, we propose a framework that uses five analytic techniques to formulate a report and extract key information in order to reduce the time required to extract information on large unstructured SIRs efficiently. Since the SIRs data do not have the correct answer label, we propose four analysis techniques, Keyword Extraction, Topic Modeling, Summarization, and Document Similarity, through Unsupervised Learning. Finally, has built the data to extract threat information from SIRs, analysis applies to the Named Entity Recognition (NER) technology to recognize the words belonging to the IP, Domain/URL, Hash, Malware and determine if the word belongs to which type We propose a framework that applies a total of five analysis techniques, including technology.