• Journal of Food Hygiene and Safety
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• v.27 no.4
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• pp.401-405
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• 2012

The dual effectiveness of Opuntia ficus indica extracts for browning inhibition and microbial inactivation on fresh-cut apples was investigated. Prepared apple slices were treated with 25, 50, 100, 200 mg/mL Opuntia ficus indica extracts, packaged in polyethylene bags, and stored for 10 days at 4, $21^{\circ}C$. Results indicate that Opuntia ficus indica extracts significantly (P < 0.05) inhibited the browning reaction of fresh-cut apples. This treatment also reduced peroxidase activities. The populations of Staphylococcus aureus significantly decreased with increasing extract concentration (p < 0.05). In particular, S. aureus was reduced to non-detectable levels after 2 days in 100 mg/mL treatment at $4^{\circ}C$ and $21^{\circ}C$. Opuntia ficus indica extracts therefore have antibacterial and antibrowning effects. The results suggest that Opuntia ficus indica extracts could be useful as a natural food preservative.

• The Korean Journal of Food And Nutrition
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• v.28 no.2
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• pp.320-327
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• 2015

Since Korean ancient times, powder of Rosa rugosa Thunberg has been used as a folk remedy. This study was conducted to verify the effects of Rosa rugosa Thunberg powder on in vitro antioxidant properties and serum lipid levels of high-fat diet-induced mice from a nutritional viewpoint. In the case of Rosa rugosa Thunberg powders, measurement of TPC, ABTS radical scavenging activity of trolox, DPPH radical scavenging activity, and measured value of FRAP were higher in ethanol extract than water extracts. For LDL-cholesterol concentration, mice fed 10% powder of Rosa rugosa Thunberg with high-fat diets showed a high numerical value compared with other groups (p<0.05). When testing for triglyceride concentrations in blood, mice fed 10% and 20% powder of Rosa rugosa Thunberg with high-fat diets showed the lowest numerical values (p<0.05). When testing for blood insulin concentrations, the high-fat diet group showed higher levels than compared to the control group (p<0.05). When testing for blood leptin concentrations, the high-fat diet group was $5.88{\pm}3.53ng/dL$, whereas mice fed 10% powder of Rosa rugosa Thunberg with high-fat diets showed a blood leptin level of $10.36{\pm}5.96ng/dL$ (p<0.05). Therefore, results prove that powder of Rosa rugosa Thunberg reduces triglyceride concentrations in the blood, and could be used as an excellent natural antioxidant in the future.

• Korean Journal of Food Science and Technology
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• v.34 no.4
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• pp.746-749
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• 2002

From 7 different medicinal herbs, Rubus coreanus miquel, Therminalia chebula Retz and Rhus javanica was selected by paper disk method against 10 different microorganisms. The ethanol extracts of selected herbs was added into Tofu, and the total viable cell counts was determined. After 4 days, total viable cell count reached to $10^7$ and the Tofu putrefacted. The tested sample added with 0.01% of Terminalia Chebula Retz extract, the shelf-life was extended as 108.8%, with 0.05% was 117.3% and with 0.1% was 132.6%. Among 3 kinds of medicinal herb, Therminalia chebula Retz has better powerful activity than others.

• Korean Journal of Food Science and Technology
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• v.32 no.2
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• pp.448-453
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• 2000

During the screening of inhibitors of caspase-3 induction in U937 human monocytic leukemia cells from natural sources, Petasites japonicum, which showed a high level of inhibition was selected. The inhibiting compound was purified from the methanol extract by Sephadex LH-20 column chromatography and HPLC. The inhibitor was identified as [3-(3,4-dihydroxyphenyl)-2-oxopropyl]ester, petasiphenol, by spectroscopic methods of UV, EIMS, $^1H-NMR$, $^{13}C-NMR$ and HMBC. It showed a caspase-3 inducing inhibitory activity at $8\;{\mu}g/ml$ of $IC_{50}$ value with DNA fragmentation inhibition in U937 human leukemia cells. It also showed a free radical scavenging ability of 1,1-diphenyl-2-picrylhydrazyl.

• Journal of KIISE:Software and Applications
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• v.33 no.6
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• pp.564-573
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• 2006

Temporal information plays an important role in natural language processing (NLP) applications such as information extraction, discourse analysis, automatic summarization, and question-answering. In the topic detection and tracking (TDT) area, the temporal information often used is the publication date of a message, which is readily available but limited in its usefulness. We developed a relatively simple NLP method of extracting temporal information from Korean news articles, with the goal of improving performance of TDT tasks. To extract temporal information, we make use of finite state automata and a lexicon containing time-revealing vocabulary. Extracted information is converted into a canonicalized representation of a time point or a time duration. We first evaluated the extraction and canonicalization methods for their accuracy and investigated on the extent to which temporal information extracted as such can help TDT tasks. The experimental results show that time information extracted from text indeed helps improve both precision and recall significantly.

• Smart Media Journal
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• v.6 no.2
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• pp.26-32
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• 2017

In this paper, we implement a signal-detecting electric circuit based LED lighting control system which is essential in NUI technology using EPIC converting surrounding earth electric field disturbance signals to electric potential signals. We used signal-detecting electric circuits which was developed to extract individual signal for each EPIC sensor while conventional EPIC-based development equipments provide limited forms of signals. The signals extracted from our developed circuit contributed to better performance as well as flexiblity in processes of feature extracting stage and pattern recognition stage. We designed a system which can control the brightness and on/off of LED lights with four hand gestures in order to justify its applicability to real application systems. We obtained faster pattern classification speed not only by developing an instruction system, but also by using interface control signals.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.1
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• pp.65-70
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• 2013

Recently, the field of computer vision has been actively researched through digital image which can be easily generated as the development and expansion of digital camera technology. Especially, research that extracts and utilizes the feature in image has been actively carried out. The image stitching is a method that creates the high resolution image using features extract and match. Image stitching can be widely used in military and medical purposes as well as in variety fields of real life. In this paper, we have proposed efficient image stitching method using fast feature descriptor extraction and matching based on SURF algorithm. It can be accurately, and quickly found matching point by reduction of dimension of feature descriptor. The feature descriptor is generated by classifying of unnecessary minutiae in extracted features. To reduce the computational time and efficient match feature, we have reduced dimension of the descriptor and expanded orientation window. In our results, the processing time of feature matching and image stitching are faster than previous algorithms, and also that method can make natural-looking stitched image.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.1
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• pp.85-89
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• 2010

Most images are composed as union of the various objects which can describe meaning respectively. Unlike human perception, The general computer systems used for image processing analyze images based on low level features like color, texture and shape. The semantic gap between low level image features and the richness of user semantic knowledges can bring about unsatisfactory classification results from user expectation. In order to deal with this problem, we propose a semantic cue based image classification method using salient points from object of interest. Salient points are used to extract low level features from images and to link high level semantic concepts, and they represent distinct semantic information. The proposed algorithm can reduce semantic gap using salient points modeling which are used for image classification like human perception. and also it can improve classification accuracy of natural images according to their semantic concept relative to certain object information by using salient points. The experimental result shows both a high efficiency of the proposed methods and a good performance.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.748-753
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• 2012

In this paper, Face recognition algorithm is designed based on optimized pRBFNNs pattern classifier using three-dimensional scanner. Generally two-dimensional image-based face recognition system enables us to extract the facial features using gray-level of images. The environmental variation parameters such as natural sunlight, artificial light and face pose lead to the deterioration of the performance of the system. In this paper, the proposed face recognition algorithm is designed by using three-dimensional scanner to overcome the drawback of two-dimensional face recognition system. First face shape is scanned using three-dimensional scanner and then the pose of scanned face is converted to front image through pose compensation process. Secondly, data with face depth is extracted using point signature method. Finally, the recognition performance is confirmed by using the optimized pRBFNNs for solving high-dimensional pattern recognition problems.

• YAKHAK HOEJI
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• v.52 no.3
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• pp.165-171
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• 2008

To develop effective skin whitening agents, we tested natural herbal extracts for their melanogenic inhibitory activities. Sedum samentosum was selected for its inhibitory effect on melanogenesis in B16 melanoma cells. Ethanolic extract of S. samentosum (SSE) was evaluated for antioxidative effect and tyrosinase inhibitory activity of melanogenesis. We investigated the changes in protein level and mRNA level of tyrosinase, tyrosinase related protein (TRP)-1 and TRP-2 by using western blotting and RT-PCR, respectively. SSE showed scavenging activities of free radicals and reactive oxygen species (ROS) with the $IC_{50}$ of 342.7 $\mug/ml$ against 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical and 64.69 $\mug/ml$ against superoxide radicals in the xanthine/xanthine oxidase system, respectively. SSE treatment suppressed the biosynthesis of melanin up to 46% and reduced tyrosinase activity up to 51% at 100 $\mug/ml$ in B16 melanoma cells. The tyrosinase activity and tyrosinase expression in B16 melanoma cells were reduced in a dose-dependent manner by SSE. Also, SSE was able to significantly inhibit tyrosinase and TRP-1 expression in mRNA level. These results suggest that SSE inhibited melanin production which may be dependent on tyrosinase activity and expression in B16 melanoma cells, and an effective whitening agent for the skin.