• YAKHAK HOEJI
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• v.51 no.4
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• pp.229-234
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• 2007

We investigated antioxidative activity of the water and ethanol extracts of leaves of Acanthopanax divaricatus var. albeofructus in human dermal fibroblast (HDFs) irradiated by UVA. The irradiation of UVA did not affect the cell viability of HDFs. The antioxidative activity of the extract was investigated by xylenol orange, TBARS (thiobarbituric acid reactive substances) and antioxidant enzyme assay. Both extracts showed H202 scavenging activity and inhibited lipid peroxidation in HDF cells irradiated by UVA. The extracts also recovered enzyme activity in the same cells.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.289-292
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• 2010

Recently human activity recognition using accelerometer has become a prominent research area in proactive computing. In this paper, we present a real-time activity recognition system using a single tri-axial accelerometer. Our system recognizes four primary daily human activities: namely walking, going upstairs, going downstairs, and sitting. The system also computes extra information from the recognized activities such as number of steps, energy expenditure, activity duration, etc. Finally, all generated information is stored in a database as daily log.

• BMB Reports
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• v.39 no.4
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• pp.448-451
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• 2006

Chemopreventive and cytotoxic effect of genistein against human breast cancer cell lines was investigated. Genistein inhibited cell proliferation in estrogen receptor-positive (MCF-7) and estrogen receptor-negative (MDA-MB-231) human breast carcinoma cell lines. Cytochrome P450 (CYP) 1A1-mediated ethoxyresorufin O-deethylase (EROD) activity was inhibited by genistein in a concentrationdependent manner. Genistein significantly inhibited 12-O-tetradecanoylphorbol-13-acetate (TPA)-induced cyclooxy-genase-2 activity and protein expression at the concentrations of 10 (p < 0.05), 25 (p < 0.05) and 50 mM (p < 0.01). In addition, ornithine decarboxylase (ODC) activity was reduced to 53.8 % of the control after 6 h treatment with 50 mM genistein in MCF-7 breast cancer cells. These results suggest that genistein could be of therapeutic value in preventing human breast cancer.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1118-1133
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• 2017

Computer vision-based human activity recognition (HAR) has become very famous these days due to its applications in various fields such as smart home healthcare for elderly people. A video-based activity recognition system basically has many goals such as to react based on people's behavior that allows the systems to proactively assist them with their tasks. A novel approach is proposed in this work for depth video based human activity recognition using joint-based motion features of depth body shapes and Deep Belief Network (DBN). From depth video, different body parts of human activities are segmented first by means of a trained random forest. The motion features representing the magnitude and direction of each joint in next frame are extracted. Finally, the features are applied for training a DBN to be used for recognition later. The proposed HAR approach showed superior performance over conventional approaches on private and public datasets, indicating a prominent approach for practical applications in smartly controlled environments.

• Journal of Electrical Engineering and Technology
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• v.13 no.2
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• pp.961-968
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• 2018

Recently, researches on automatic recognition of human activities have been actively carried out with the emergence of various intelligent systems. Since a large amount of visual data can be secured through Closed Circuit Television, it is required to recognize human behavior in a dynamic situation rather than a static situation. In this paper, we propose new intelligent human activity recognition model using the trajectory information extracted from the video sequence. The proposed model consists of three steps: segmentation and partitioning of trajectory step, feature extraction step, and behavioral learning step. First, the entire trajectory is fuzzy partitioned according to the motion characteristics, and then temporal features and spatial features are extracted. Using the extracted features, four pedestrian behaviors were modeled by decision tree learning algorithm and performance evaluation was performed. The experiments in this paper were conducted using Caviar data sets. Experimental results show that trajectory provides good activity recognition accuracy by extracting instantaneous property and distinctive regional property.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.131-139
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• 2021

In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

• Korean Journal of Childcare and Education
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• v.10 no.6
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• pp.369-390
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• 2014

This study analyzed the educational contents related with child's human rights in a manual of the Nuri Curriculum for 5-year-olds based on the type and area of activity, 5 areas, and by life theme. The research results are as follows: First, the educational contents on child's human rights in activity type and area showed high frequency in the order of large and small group activity, child selected play activity, and outdoor activity, and among them, right to an education and right to play showed the highest frequency. Second, among the five categories, the area that conducts educational contents on child's human rights was the social relation category, and the area that showed the highest participation was the educational contents on human rights. On the other hand, the areas that were treated the least were physical activity and health. Third, the topic that treated the educational contents related with child's human rights was 'spring, summer, fall, winter,' and 'my family and I' treated educational contents on child's human rights in the lowest frequency. Also, whereas the right to education and right to play showed the highest frequency of educational contents on child's human rights among entire life themes, the educational contents on child's human rights of abuse and neglect(violence) were not treated at all in the entire life themes. Through the results of this study, it will be helpful in planning and deploying activities related with the child's human rights harmoniously, and intends to provide important basic data in organizing activities of human rights program linked with the elementary school. Furthermore, this study intended to provide basic information for developing a program of systematic child's human rights education for children in addition to the curriculum at a national level.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.10
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• pp.1095-1102
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• 2014

In this paper, We proposed the approach of GPU and motion vector to analysis the Human activity in real-time surveillance system. The most important part, that is detect blob(human) in the foreground. We use to detect Adaptive Gaussian Mixture, Weighted subtraction image for salient motion and motion vector. And then, We use motion vector for human activity analysis. In this paper, the activities of human recognize and classified such as meta-classes like this {Active, Inactive}, {Position Moving, Fixed Moving}, {Walking, Running}. We created approximately 300 conditions for the simulation. As a result, We showed a high success rate about 86~98%. The results also showed that the high resolution experiment by the proposed GPU-based method was over 10 times faster than the cpu-based method.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.19 no.3
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• pp.261-269
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• 2009

To evaluate the effect of antioxidant on the cytotoxicity induced by oxidative stress of reactive oxygen species (ROS) in cultured human skin melanocytes, colorimeric assay of XTT and tyrosinase activity assay were adopted after human skin melanocytes were preincubated for 2 hours in the media containing various concentrations of superoxide dismutase (SOD) before the treatment of hydrogen peroxide. Light microscopic study was carried out in same cultures. The results of this study were as follows 1. Cell viability of human skin melanocytes was significantly decreased by 30 and $40{\mu}M$ of hydrogen peroxide($H_2O_2$), respectively. 2. XTT50 was determined at $30{\mu}M$ after human skin melanocytes were treated with $10{\sim}40{\mu}M$ of hydrogen peroxide for 6 hours. 3. The cell viability of cultured human skin melanocytes pretreated with SOD was increased than that of cultured human skin melanocytes treated with $H_2O_2$ dose-dependently. 4. In tyrosinase activity of human skin melanocytes, the cell treated with SOD showed brown stain compared with $H_2O_2$ treated cells, dark stain. 5. In light microscopy, cultured human skin melanocytes exposed to $H_2O_2$ showed morphological changes such as the decreased cell number and cytoplasmic processes, compared with control. 6. In light microscopy, cultured human skin melanocytes pretreated with SOD showed the increase of cell number and cytoplasmic processes compared with $H_2O_2-treated$ group. From these results, it is suggested that oxidative stress of ROS such as $H_2O_2$ has cytotoxicity by showing the decreased cell viability, the increased tyrosinase activity and mophological changes of the decreased cell number and cytoplasmic processes. While, antioxidant like SOD was effective in the prevention of oxidative stress-mediated cytotoxicity by the increased cell viability, decreased tyrosinase activity and the protection of degenerative morphological changes in cultured human skin melanocytes.

• Journal of Nutrition and Health
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• v.36 no.1
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• pp.18-23
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• 2003

We studied the effects of hot water extract of Inonotus obliquos mushroom on the proliferation and apoptosis of the human colon adenocarcinoma, HT-29 and the human stomach adenocarcinoma, SNU-484 cell. Cells were maintained with Dulbecco's modified Eagle medium/Ham's F-12 nutrient mixture supplemented with 10% fetal bovine serum at 37$^{\circ}C$ in a humidified $CO_2$. For the cell proliferation experiments, cells were seeded in 35 mm dishes, and were treated with the various concentrations of the extract for the different time course. Apoptosis was measured by caspase-3 activity. When we incubated HT-29 cells for 24, 48, 72, and 96 hours after treatments, the cell proliferation was more suppressed with more treatment time. In case of the human stomach cancer cell, SNU484, the extract significantly decreased the cell number. Thus, the treatment of 1.5 mg/$m\ell$ extract decreased almost half of the cell number. Caspase-3 activity in HT-29 was increased by the treatment of mushroom extracts. In SNU484, caspase-3 activity tended to increase in proportion to the amounts of the extracts and the treatment of Inonotus obliquos affected the activity a lot. Therefore, Inonotus obliquos is suggested for the prevention of gastro-intestinal cancer and strongly recommended for the treatment of stomach cancer. (Korean J Nutrition 36(1) : 18~23, 2003)