• Restorative Dentistry and Endodontics
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• v.21 no.2
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• pp.546-558
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• 1996

The purpose of this vitro study was to evaluate the activity of human pulpal cells to adhesive glycoprotein-coated and non-coated culture dishes. Well known adhesive glycoproteins were used, such as type I collagen, type IV collagen, fibronectin, laminin, and vitronectin. Each adhesive glycoproteins applied onto the culture dishes. In this study, the protein coated and non-coated dishes were classified as each groups. Human pulpal cells cultured onto each groups. After 24 hours, 48 hours, 72 hours incubation time, radioactivity with scintillation counter for evaluation of the activity of human pulpal cells. The results as follows : 1. After 24 hours incubation time, activity of human pulpal cells were best in laminin-coated group among groups. Then fibronectin, type I collagen group were better, and all proteins were better than control. 2. After 48 hours incubation time, activity of human pulpal cells were best in fibronectin coated group. 3. After 72 hours incubation time, activity of human pulpal cells were not significantly different in all of adhesive glycoproteins. 4. After 24 hours incubation time, activity of human pulpal cells were best in fibronectin and laminin coated group. Activity of human pulpal cells in type I collagen coated group were better after 24 hours incubation time then 48 hours incubation time.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1421-1429
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• 2017

Human activity recognition has been studied using various sensors and algorithms. Human activity recognition can be divided into sensor based and vision based on the method. In this paper, we proposed an activity recognition system using acceleration sensor and gyroscope sensor in smartphone among sensor based methods. We used Deep Belief Network (DBN), which is one of the most popular deep learning methods, to improve an accuracy of human activity recognition. DBN uses the entire input set as a common input. However, because of the characteristics of different time window depending on the type of human activity, the RBMs, which is a component of DBN, are configured hierarchically by combining them from different time windows. As a result of applying to real data, The proposed human activity recognition system showed stable precision.

• Korean Journal of Pharmacognosy
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• v.37 no.3
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• pp.130-135
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• 2006

The present study describes the preliminary evaluation of the cytotoxic activity of the extracts from Inula japonica. I. japonica was extracted with methanol, ethanol, acetone, and water, and then cytotoxic activity of these extracts were evaluated. The cytotoxic activity of each extract was assessed by the MTT-dye reduction assay. Both ethanol and acetone extracts from I. japonica showed the cytotoxic activity against the HT-29 human colon cancer cells. Furthermore, the ethanol extract was fractionated with n-hexane, diethyl ether, ethyl acetate, and water according to degree of Polarity, The diethyl ether fraction showed the highest cytotoxic activity against HT-29 cells, but the other fractions showed low cytotokic activity. In addition, diethyl ether layer also showed the cytotoxic activity against various tumor cells, such as human colon carcinoma SW620, human cervix adenocarcinoma HeLa, and human breast adenocarcinoma MCF-7 cells as well as HT-29 cells. These studies support that extracts of I. japonica may be a potential candidate as possible chemotherapeutic agent against human cancer.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1856-1869
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• 2015

This paper addresses the issues of 3D human activity detection, tracking and recognition from RGB-D video sequences using a feature structured framework. During human tracking and activity recognition, initially, dense depth images are captured using depth camera. In order to track human silhouettes, we considered spatial/temporal continuity, constraints of human motion information and compute centroids of each activity based on chain coding mechanism and centroids point extraction. In body skin joints features, we estimate human body skin color to identify human body parts (i.e., head, hands, and feet) likely to extract joint points information. These joints points are further processed as feature extraction process including distance position features and centroid distance features. Lastly, self-organized maps are used to recognize different activities. Experimental results demonstrate that the proposed method is reliable and efficient in recognizing human poses at different realistic scenes. The proposed system should be applicable to different consumer application systems such as healthcare system, video surveillance system and indoor monitoring systems which track and recognize different activities of multiple users.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.5
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• pp.632-638
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• 2005

This paper describes a new data-handing, based on a Spatial Human Interface as human indicator, to the Spatial-Knowledge-Tags (SKT) in the spatial memory the Spatial Human Interface (SHI) is a new system that enables us to facilitate human activity in a working environment. The SHI stores human activity data as knowledge and activity history of human into the Spatial Memory in a working environment as three-dimensional space where one acts, and loads them with the Spatial-Knowledge-Tags(SKT) by supporting the enhancement of human activity. To realize this, the purpose of SHI is to construct new relationship among human and distributed networks computers and sensors that is based on intuitive and simultaneous interactions. In this paper, the specified functions of SKT and the realization method of SKT are explained. The utility of SKT is demonstrated in designing a robot motion control.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.23 no.3
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• pp.115-121
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• 1997

To identify inhibitors of melanogenesis, we compared the effects of 5 compounds on mushroom tyrosinase, human melanocytic tyrosinase activity and melanin content. The cytotoxicyty of the components were also tested on cultured human melanoctes. Kojic acid showed marked inhibitory effect both on mushroom and human tyrosinase activity. This action of kijic acid is stronger than that of ascorbic acid. Arbutin inhibited human tyrosinase activity of cultured melanocytes although it had slightly inhibitory effect on mushroom tyrosinase activity. Azelaic acid had no effect on human tyrosinase activity. Melanin production was inhibited significantly by kojic acid and tranexamic acid. MTT assay showed that all of the compounds were non-cytotoxic to melanocytes at the concentrations tested. These results suggest that the effect of kojic acid on cultured meanocytes involve inhibition of tyrosinase activity and melanogenesis without affection the cell number.

• YAKHAK HOEJI
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• v.54 no.2
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• pp.112-121
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• 2010

The cytotoxic activity of 33,4,5-trihydroxybenzoic acid methylester and related compounds on the growth of normal cell lines, human skin melanoma cells and human oral epithelioid cell line were evaluated by the 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT) and 2,3-bis-[2-methoxy-4-nitro-5-sulfo-phenyl]-2-H-tetrazolium-5-caboxanilide (XTT) methods. 3,4,5-Trihydroxybenzoic acid methylester decreased the cell viability of human skin melanoma cells and human oral epithelioid cells shown by the MTT method and the cell adhesion activity of human skin melanoma cells and human oral epithelioid cells shown by the XTT method. In light microscopy, 100 ${\mu}M$ 3,4,5-trihydroxybenzoic acid methylester showed the highest cytotoxic activity. These results suggest that 3,4,5-trihydroxybenzoic acid methylester has a potential anticancer activity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.6
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• pp.2767-2780
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• 2016

Video-based human-activity recognition has become increasingly popular due to the prominent corresponding applications in a variety of fields such as computer vision, image processing, smart-home healthcare, and human-computer interactions. The essential goals of a video-based activity-recognition system include the provision of behavior-based information to enable functionality that proactively assists a person with his/her tasks. The target of this work is the development of a novel approach for human-activity recognition, whereby human-body-joint features that are extracted from depth videos are used. From silhouette images taken at every depth, the direction and magnitude features are first obtained from each connected body-joint pair so that they can be augmented later with motion direction, as well as with the magnitude features of each joint in the next frame. A generalized discriminant analysis (GDA) is applied to make the spatiotemporal features more robust, followed by the feeding of the time-sequence features into a Hidden Markov Model (HMM) for the training of each activity. Lastly, all of the trained-activity HMMs are used for depth-video activity recognition.

• Korean Journal of Ecology and Environment
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• v.46 no.3
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• pp.395-408
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• 2013

Environmental condition can induce changes in early life-history traits in order to maximise the ecological fitness. Here I investigated how temperature change and variation in human aquatic activity/behaviour affect early life-history consequences in fish using a dynamic-state-dependent model. In this study, I developed a general fish's life-history model including three life-history states depend-ing on foraging activity, such as body mass, mass of reproductive tissue (i.e., gonadal development) and accumulated stress (i.e., cellular or physiological damage). I assumed the level of foraging activity maximises reproductive success-ultimately, fitness. The model predicts that growth rate, development of reproductive tissues and damage accumulation are greater in higher temperature whereas higher human aquatic activity rapidly reduced the growth rate and development of reproductive tissue and increased damage accumulation. While higher foraging activity in higher temperature is less affected by human aquatic activity, the foraging activity in lower temperature rapidly declined with human aquatic activity. Moreover, lower survival rate in higher temperature or human aquatic activity was independent on mortality rate due to human aquatic activity or mortality rate when foraging activity, respectively. However, the survival rate in lower temperature or human aquatic activity was dependent on these mortality rates. My findings suggest that including of early life-history traits in relation to climate-change and human aquatic activity on the analysis may improve conservation plan and health assessment in aquatic ecosystem.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.283-294
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• 2010

The present paper deals with an analysis of relationship among technical human resources management as a precursor, technology innovation activity and achievements of technical innovation on the basis of preceding empirical studies on technology innovation activities of manufacturing corporations. The analysis shows that First, the technical human resources management is found to have influence upon technology innovation activity in various ways, implying that the role of technical human resources management as a key to technical innovation is most important of all to enable manufacturing companies to gain edge in competition by means of technology innovation activity; and Second, technology innovation activity exercises impacts on the achievements of exploitative technology innovation as well as on the achievements of exploratory technology innovation on the part of manufacturing industry. The above findings prove that the level of technology innovation activity may be a source for superior competitiveness of manufacturing business as a result of technology innovation performance. Manufacturing corporations, thus, need to place more weight on stepping up their executive level of technology innovation activity factors than on increasing simply the level of technical investment.