• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.99-108
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• 2012

Many methods had been developed to improve the accuracy of extracting information from a vast amount of data. This paper combined a number of natural language processing methods such as NER (named entity recognition), sentence extraction, and part of speech tagging to carry out text analysis. The data source is comprised of texts obtained from the web using a domain-specific data extraction agent. A framework for the extraction of information from unstructured data was developed using the aforementioned natural language processing methods. We simulated the performance of our work in the extraction and analysis of texts for the detection of organizational structures. Simulation shows that our study outperformed other NER classifiers such as MUC and CoNLL on information extraction.

• Journal of Digital Contents Society
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• v.17 no.4
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• pp.219-226
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• 2016

In our general life, what we recognize information with our human eyes and use it is diverse and massive. But even the current technologies improved by artificial intelligence are exorbitantly deficient comparing to human visual processing ability. Nevertheless, many researchers are trying to get information in everyday life, especially concentrate effort on recognizing information consisted of text. In the fields of recognizing text, to extract the text from the general document is used in some information processing fields, but to extract and recognize the text from real image is deficient too much yet. It is because the real images have many properties like color, size, orientation and something in common. In this paper, we applies an adaptive edge enhanced MSER(Maximally Stable Extremal Regions) to extract the text area in those diverse environments and the scene text, and show that the proposed method is a comparatively nice method with experiments.

• Journal of Applied Biological Chemistry
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• v.64 no.1
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• pp.69-74
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• 2021

Chronic alcohol is responsible for oxidative stress and neurodegenerative diseases such as dementia. In the present study, we investigated the antioxidant activity and protective effects of seed of Carthamus tinctorius L. on ethanol-induced C6 glial cells. Antioxidant effect of seed of C. tinctorius L. was measured by scavenging activity of 1,1-diphenyl-2-prcrylhydrazy (DPPH), hydroxyl radical (·OH), superoxide radical, and nitric oxide. The seed of C. tinctorius L. extract showed significant radical scavenging activities in a concentration-dependent manner. In particular, it revealed strong DPPH and ·OH scavenging activity, displaying more than 80% at 500 and 100 ㎍/mL, respectively. Treatment of 500 mM ethanol to C6 glial cell led to decline of cell viability and elevation of reactive oxygen species (ROS) generation. However, seed of C. tinctorius L.-treated groups significantly increased cell viability and decreased ROS levels, compared to ethanol-induced control group. These results suggest that seed of C. tinctorius L. would have protective effect against neuronal oxidative stress induced by alcohol.

• Journal of Applied Biological Chemistry
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• v.65 no.4
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• pp.405-412
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• 2022

Echinodorus cordifolius (L.) is an aquatic plant in the family Alismataceae. The anti-skin aging activity of E. cordifolius (L.) has not been yet reported. Therefore, the objective of the present study was to prepare 70% ethanol extract (ECEE) from E. cordifolius (L.) and investigate their antioxidant and anti-hyaluronidase activities for confirm the potential of anti-skin aging. ECEE showed good activities of DPPH, hydrogen peroxide scavenging, and hyaluronidase inhibition, with EC₅₀ and IC₅₀ values of 31.4, 300, and 450 ㎍/mL, respectively. ECEE also significantly improved cell viability and inhibited intracellular reactive oxygen species dose-dependently against 1 mM hydrogen peroxide-induced oxidative stress in immortalized human keratinocytes (HaCaT cells). Furthermore, ECEE upregulated hyaluronic acid (HA)-synthesizing enzyme hyaluronan synthase 2 (HAS2) expression level, but downregulated expression level of HA-degrading enzyme hyaluronidase 2, resulting in increased HA production in HaCaT cells. Taken together, these results suggest that ECEE shows antioxidant and anti-hyaluronidase potential and could be a functional cosmetic ingredients for anti-skin aging.

• Korean Journal of Soil Science and Fertilizer
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• v.40 no.4
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• pp.274-279
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• 2007

The toxicitiy of organic sludge such as municipal sewage sludge (MSS), industrial sewage sludge (ISS), alcohol fermentation processing sludge (AFPS) and leather processing sludge (LPS) were evaluated with three environmental biomarkers as acetylcholinesterase, cytochrome P450, and heat shock protein 70 extracted from earthworm (Eisenia fetida). Their toxicities were compared with those of pig manure compost (PMC). MSS, ISS, LPS, and AFPS did not significantly affect the acetylcolinesterase activity, whereas only the elutriate of PMC slightly was increased the activity. MSS, AFPS, and PMC tended to slightly inhibit the cytochrome $P_{450}$ activity, but ISS and LPS showed significantly the inhibitory effect on cytochrome $P_{450}$. The hsp70 expression began to increase after treatments and showed high induction at 6 hour, followed by zero level at around 12 hour. The quantity of the hsp70 expressed by elutriate treatments of PMC, AFPS, MSS, ISS, and LPS was 1.9, 3.0, 3.3, 4.4, and 4.7 fold higher than that of distilled water. These results indicate that in toxicity tests of five organic waste materials, four kinds of sludge materials appeared more toxic than PMC. Results of AChE, P450, and hsp70 of earthworm might be useful for expecting or assessing an effect by exposure of organic wastes to earthworms in soil.