• Title/Summary/Keyword: Human-activity Recognition

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Porphyromonas Gingivalis Invasion of Human Aortic Smooth Muscle Cells

  • Lee, Seoung-Man;Lee, Hyeon-Woo;Lee, Jin-Yong
    • International Journal of Oral Biology
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    • v.33 no.4
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    • pp.163-177
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    • 2008
  • Periodontal disease, a form of chronic inflammatory bacterial infectious disease, is known to be a risk factor for cardiovascular disease (CVD). Porphyromonas gingivalis has been implicated in periodontal disease and widely studied for its role in the pathogenesis of CVD. A previous study demonstrating that periodontopathic P. gingivalis is involved in CVD showed that invasion of endothelial cells by the bacterium is accompanied by an increase in cytokine production, which may result in vascular atherosclerotic changes. The present study was performed in order to further elucidate the role of P. gingivalis in the process of atherosclerosis and CVD. For this purpose, invasion of human aortic smooth muscle cells (HASMC) by P. gingivalis 381 and its isogenic mutants of KDP150 ($fimA^-$), CW120 ($ppk^-$) and KS7 ($relA^-$) was assessed using a metronidazole protection assay. Wild type P. gingivalis invaded HASMCs with an efficiency of 0.12%. In contrast, KDP150 failed to demonstrate any invasive ability. CW120 and KS7 showed relatively higher invasion efficiencies, but results for these variants were still negligible when compared to the wild type invasiveness. These results suggest that fimbriae are required for invasion and that energy metabolism in association with regulatory genes involved in stress and stringent response may also be important for this process. ELISA assays revealed that the invasive P. gingivalis 381 increased production of the proinflammatory cytokine interleukin (IL)-$1{\beta}$ and the chemotactic cytokines (chemokine) IL (interleukin)-8 and monocyte chemotactic (MCP) protein-1 during the 30-90 min incubation periods (P<0.05). Expression of RANTES (regulation upon activation, normal T cell expressed and secreted) and Toll-like receptor (TLR)-4, a pattern recognition receptor (PRR), was increased in HASMCs infected with P. gingivalis 381 by RT-PCR analysis. P. gingivalis infection did not alter interferon-$\gamma$-inducible protein-10 expression in HASMCs. HASMC nonspecific necrosis and apoptotic cell death were measured by lactate dehydrogenase (LDH) and caspase activity assays, respectively. LDH release from HASMCs and HAMC caspase activity were significantly higher after a 90 min incubation with P. gingivalis 381. Taken together, P. gingivalis invasion of HASMCs induces inflammatory cytokine production, apoptotic cell death, and expression of TLR-4, a PRR which may react with the bacterial molecules and induce the expression of the chemokines IL-8, MCP-1 and RANTES. Overall, these results suggest that invasive P. gingivalis may participate in the pathogenesis of atherosclerosis, leading to CVD.

A Study on Recognition, Utilization of Food and Nutrition Labelling of Elementary School Students (초등학생의 식품영양표시에 대한 인식 및 이용실태)

  • Oh, Sae-Hyun;Lee, Yang-Soon
    • Korean Journal of Human Ecology
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    • v.19 no.6
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    • pp.1083-1094
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    • 2010
  • The purpose of this study is to provide a fundamental research data that is necessary in an education of dietary life so that the students have sound dietary life through a right food purchase after investigating perception of children's dietary habit and activity, food labelling, and nutrition labelling for 400 students of the 5 and 6th grades. The result of the study are as followings. In terms of perception questions over food labelling, on the whole, "know it little bit" was the highest. Girls and country was higher than boys and city. A list of item that is important in contents of food labelling were period of circulation, data of manufacturing, price, used ingredient, origin of product, nutrition contain labelling, manufacturer, quantity in contents(quantity, the number). A meaningful difference was shown in gender(p<.05) and area(p<.01). In 30 perception questions over nutrition labelling, "know it little bit" was the most, and girls and country were higher than boys and city. In ascertaining nutrition labelling at the time of purchasing the food, "look often" was the most. Girls and city were higher than boys and Gun in average but no difference was statistically shown in knowledge mark in utilization and perception of nutrition labelling. The response rate in girls(p<.01) and country(p<.05) was higher in a question of "if nutrition labelling is displayed, nutriment that is harmful for our body will be eaten less" and girls' response rate was higher in the question of "being educated for my health". Therefore, practice centered nutrition education is necessary to purchase the food after ascertaining food nutrition labelling out of an attitude in habitually purchasing the processed food. The students develop comprehensible food nutrition labelling the direction to emphasizing nutrition educational labelling and recognizing that the healthy nutriment is contained without conventional and food safety centered labelling should be changed.

Status and Characteristic of Sasang Constitutional Medicine Philosophy Research in China through CNKI (CNKI에서 중국의 사상체질의학(四象體質醫學) 철학 연구 현황과 특징)

  • Bae, Young-Chun
    • Journal of Sasang Constitutional Medicine
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    • v.31 no.1
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    • pp.26-35
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    • 2019
  • The purpose of this study is to understand how Sasang Constitutional Medicine has been understood in China. Methods I searched for topics in Chinese such as Sasang medicine (四象醫學), Sasang constitution (四象體質), Chao medicine (朝醫), philosophy (哲學), principles (原理), the school of Confucianism (儒家), Confucianism (儒學) and ideology (思想) in CNKI database on January 15, 2019. The selected studies were summarized as three sections; the basic principles of Sasang Constitutional Medicine, influences of Confucianism and comparison with other medicines. Results In China, the principles of Sasang Constitutional Medicine is explained using the concepts such as Heaven-Human-Nature-Order, the Great Ultimate (Taiji), Two Modes (Liang-Yi), Sasang, heart, sorrow-anger-joy-pleasure, nature-emotions (Xingqing), and viscera-bowels (Zang-Fu). Sasang Constitutional Medicine is considered to has been influenced by Confucianism. The form of Sasang Constitutional Medicine was affected by the Book of Changes (Zhouyi), and the contents were impacted by the Great Learning (Daxue), the Doctrine of the Mean (Zhongyong), the Mencius (Mengzi) and the Analects (Lunyu). Sasang Constitutional Medicine have distinctive characteristics in comparison with other medicines, such as inherent determinations of constitution, organs difference by constitution the actions of nature, emotions and desire, recognition of humans as social beings, and the signification of heart as a presiding center. Conclusion In China, the philosophy of Sasang Constitutional Medicine has been studied with basis of four-element structure; activity, mind, body and matter. Also, it has been researched in medical aspects of human trying to control the nature and emotions to be physically, mentally and socially healthy.

Detection The Behavior of Smartphone Users using Time-division Feature Fusion Convolutional Neural Network (시분할 특징 융합 합성곱 신경망을 이용한 스마트폰 사용자의 행동 검출)

  • Shin, Hyun-Jun;Kwak, Nae-Jung;Song, Teuk-Seob
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.9
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    • pp.1224-1230
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    • 2020
  • Since the spread of smart phones, interest in wearable devices has increased and diversified, and is closely related to the lives of users, and has been used as a method for providing personalized services. In this paper, we propose a method to detect the user's behavior by applying information from a 3-axis acceleration sensor and a 3-axis gyro sensor embedded in a smartphone to a convolutional neural network. Human behavior differs according to the size and range of motion, starting and ending time, including the duration of the signal data constituting the motion. Therefore, there is a performance problem for accuracy when applied to a convolutional neural network as it is. Therefore, we proposed a Time-Division Feature Fusion Convolutional Neural Network (TDFFCNN) that learns the characteristics of the sensor data segmented over time. The proposed method outperformed other classifiers such as SVM, IBk, convolutional neural network, and long-term memory circulatory neural network.

Medical Physicists in the Field of Radiation Therapy for Unlicensed Activity (방사선치료분야에서 의학물리사 무면허행위 여부)

  • Jeong, Seong-Hyeun;Kim, Seung-Chul
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.869-879
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    • 2013
  • Modern medicine has not yet conquered behavior therapy for cancer radiation treatment, which is one of the professional groups involved in the justification of the act and reasonable human resources was analyzed. Radiation Oncology(Therapeutic Radiology) installed the role of the medical physicist in the current law, the act must have been within the limits given licenses, but the legitimacy of the act which can be given the current laws and regulations are not clear. Thus, certification and testing outside the medical physicist's research institutions, including the measures to be reflected in national legislation sought. Medical physicists, with the inherent illegality act because one of the areas to precluding the illegality of the content-based "medical law" and "Nuclear Safety Law", "medical technology in the field of radiation safety standards on management" was based on the interpretation. In conclusion, "medical law" and "in the field of medical technology on the management of radiation safety standards" that are consistent with the recognition of qualifications, increased activity in the radiation therapy and radiation safety management must deal with this will be feasible.

Solid-phase Refolding of Immobilized Enterokinase for Fusion Protein Cleavage (융합단백질 절단반응을 위한 고정화된 enterokinase의 고체상 재접힘)

  • 서창우;나세진;박신혜;박승국;이은규
    • KSBB Journal
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    • v.18 no.4
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    • pp.306-311
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    • 2003
  • Solid-phase refolding of immobilized proteins can be an effective way to reuse an immobilized enzyme column. Oriented immobilization methods are known to provide higher activity of the immobilized enzymes. In this study, using recombinant EK (enterokinase) as a model enzyme and a fusion protein, that consisted of recombinant human growth hormone and six His tag that was linked by the peptide of EK-specific recognition sequence, as a model substrate, we evaluated two oriented immobilization methods, i. e., reductive alkylation of N-terminus ${\alpha}$-amine and affinity interaction between poly-histidine tag and Ni-NTA (nickel-nitrilotriacetic acid). The immobilization yield, activity and cleavage of the immobilized enzymes, and the yield of solid-phase refolding were compared. The Ni affinity immobilization and the covalent immobilization yields were about 100% and 65%, respectively. But the specific activities were the same, about 50% of that of the soluble enzyme. The cleavage rate by the covalently immobilized EK was higher than the soluble enzyme and the side reaction of cryptic cleavage was significantly decreased. Covalently immobilized EK showed almost 100% refolding yield but the affinity immobilized EK showed only 70% yield, which suggested the covalent conjugation provided more rigid ‘reference structure’ for the solid-phase refolding. The monomeric hGH could be easily obtained by capturing the cleaved poly Histidine tag by the Ni affinity column.

Extraction of Motion Parameters using Acceleration Sensors

  • Lee, Yong-Hee;Lee, Kang-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.33-39
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    • 2019
  • In this paper, we propose a parametric model for analyzing the motion information obtained from the acceleration sensors to measure the activity of the human body. The motion of the upper body and the lower body does not occur at the same time, and the motion analysis method using a single motion sensor involves a lot of errors. In this study, the 3-axis accelerometer is attached to the arms and legs, the body's activity data are measured, the momentum of the arms and legs are calculated for each channel, and the linear predictive coefficient is obtained for each channel. The periodicity of the upper body and the lower body is determined by analyzing the correlation between the channels. The linear predictive coefficient and the periodic value are used as data to measure the type of exercise and the amount of exercise. In the proposed method, we measured four types of movements such as walking, stair climbing, slow hill climbing, and fast hill descending. In order to verify the usefulness of the parameters, the recognition results are presented using the linear predictive coefficient and the periodic value for each motion as the neural network input.

Pattern classification of the synchronized EEG records by an auditory stimulus for human-computer interface (인간-컴퓨터 인터페이스를 위한 청각 동기방식 뇌파신호의 패턴 분류)

  • Lee, Yong-Hee;Choi, Chun-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.12
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    • pp.2349-2356
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    • 2008
  • In this paper, we present the method to effectively extract and classify the EEG caused by only brain activity when a normal subject is in a state of mental activity. We measure the synchronous EEG on the auditory event when a subject who is in a normal state thinks of a specific task, and then shift the baseline and reduce the effect of biological artifacts on the measured EEG. Finally we extract only the mental task signal by averaging method, and then perform the recognition of the extracted mental task signal by computing the AR coefficients. In the experiment, the auditory stimulus is used as an event and the EEG was recorded from the three channel $C_3-A_1$, $C_4-A_2$ and $P_Z-A_1$. After averaging 16 times for each channel output, we extracted the features of specific mental tasks by modeling the output as 12th order AR coefficients. We used total 36th order coefficient as an input parameter of the neural network and measured the training data 50 times per each task. With data not used for training, the rate of task recognition is 34-92 percent on the two tasks, and 38-54 percent on the four tasks.

Visual Media Education in Visual Arts Education (미술교육에 있어서 시각적 미디어를 통한 조형교육에 관한 연구)

  • Park Ji-Sook
    • Journal of Science of Art and Design
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    • v.7
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    • pp.64-104
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    • 2005
  • Visual media transmits image and information reproduced in large quantities, such as a photography, film, television, video, advertisement, or computer image. Correspondence to the students' reception and recognition of culture in the future. arrangements for the field of studies of visual culture. 'Visual Culture' implies cultural phenomena of visual images via visual media, which includes not only the categories of traditional arts like a painting, sculpture, print, or design, but the performance arts including a fashion show or parade of carnival, and the mass and electronic media like a photography, film, television, video, advertisement, cartoon, animation, or computer image. In the world of visual media, Image' functions as an essential medium of communication. Therefore, people call the culture of today fra of Image Culture', which has been converted from an alphabet convergence era to an image convergence one. Image, via visual media, has become a dominant means for communication in large part of human life, so we can designate an Image' as a typical aspect of visual culture today. Image, as an essential medium of communication, plays an important role in contemporary society. The one way is the conversion of analogue image like an actual picture, photograph, or film into digital one through the digitalization of digital camera or scanner as 'an analogue/digital commutator'. The other is a way of process with a computer drawing, or modeling of objects. It is appropriate to the production of pictorial and surreal images. Digital images, produced by the other, can be divided into the form of Pixel' and form of Vector'. Vector is a line linking the point of departure to the point of end, which organizes informations. Computer stores each line's standard location and correlative locations to one another Digital image shows for more 'Perfectness' than any other visual media. Digital image has been evolving in the diverse aspects, such as a production of geometrical or organic image compositing, interactive art, multimedia art, or web art, which has been applied a computer as an extended trot of painting. Someone often interprets digitalized copy with endless reproduction of original even as an extension of a print. Visual af is no longer a simple activity of representation by a painter or sculptor, but now is intimately associated with a matter of application of media. There is some problem in images via visual media. First, the image via media doesn't reflect a reality as it is, but reflects an artificial manipulated world, that is, a virtual reality. Second, the introduction of digital effect and the development of image processing technology have enhanced a spectacle of destructive and violent scenes. Third, a child intends to recognize the interactive images of computer game and virtual reality as a reality, or truth. Education needs not only to point out an ill effect of mass media and prevent the younger generation from being damaged by it, but also to offer a knowledge and know-how to cope actively with social, cultural circumstances. Visual media education is one of these essential methods for the contemporary and future human being in the overflowing of image informations. The fosterage of 'Visual Literacy' can be considered as a very purpose of visual media education. This is a way to lead an individual to the discerning, active consumer and producer of visual media in life as far as possible. The elements of 'Visual Literacy' can be divided into a faculty of recognition related to the visual media, a faculty of critical reception, a faculty of appropriate application, a faculty of active work and a faculty of creative modeling, which are promoted at the same time by the education of 'visual literacy'. In conclusion, the education of 'Visual Literacy' guides students to comprehend and discriminate the visual image media carefully, or receive them critically, apply them properly, or produce them creatively and voluntarily. Moreover, it leads to an artistic activity by means of new media. This education can be approached and enhanced by the connection and integration with real life. Visual arts and education of them play an important role in the digital era depended on visual communications via image information. Visual me야a of day functions as an essential element both in daily life and in arts. Students can soundly understand visual phenomena of today by means of visual media, and apply it as an expression tool of life culture as well. A new recognition and valuation visual image and media education is required to cultivate the capability of active, upright dealing with the changes of history of civilization. 1) Visual media education helps to cultivate a sensibility for images, which reacts to and deals with the circumstances. 2) It helps students to comprehend the contemporary arts and culture via new media. 3) It supplies a chance of students' experiencing a visual modeling by means of new media. 4) There are educational opportunities of images with temporality and spaciality, and therefore a discerning person becomes to increase. 5) The modeling activity via new media leads students to be continuously interested in the school and production of plastic arts. 6) It raises the ability of visual communications dealing with image information society. 7) An education of digital image is significant in respect of cultivation of man of talent for the future society of image information as well. To correspond to the changing and developing social, cultural circumstances, and the form and recognition of students' reception of them, visual arts education must arrange the field of studying on a new visual culture. Besides, a program needs to be developed, which is in more systematic and active level in relation to visual media education. Educational contents should be extended to the media for visual images, that is, photography, film, television, video, computer graphic, animation, music video, computer game and multimedia. Every media must be separately approached, because they maintain the modes and peculiarities of their own according to the conveyance form of message. The concrete and systematic method of teaching and the quality of education must be researched and developed, centering around the development of a course of study. Teacher's foundational capability of teaching should be cultivated for the visual media education. In this case, it must be paid attention to the fact that a technological level of media is considered as a secondary. Because school education doesn't intend to train expert and skillful producers, but intends to lay stress on the essential aesthetic one with visual media under the social and cultural context, in respect of a consumer including a man of culture.

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A Deep Learning Based Approach to Recognizing Accompanying Status of Smartphone Users Using Multimodal Data (스마트폰 다종 데이터를 활용한 딥러닝 기반의 사용자 동행 상태 인식)

  • Kim, Kilho;Choi, Sangwoo;Chae, Moon-jung;Park, Heewoong;Lee, Jaehong;Park, Jonghun
    • Journal of Intelligence and Information Systems
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    • v.25 no.1
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    • pp.163-177
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    • 2019
  • As smartphones are getting widely used, human activity recognition (HAR) tasks for recognizing personal activities of smartphone users with multimodal data have been actively studied recently. The research area is expanding from the recognition of the simple body movement of an individual user to the recognition of low-level behavior and high-level behavior. However, HAR tasks for recognizing interaction behavior with other people, such as whether the user is accompanying or communicating with someone else, have gotten less attention so far. And previous research for recognizing interaction behavior has usually depended on audio, Bluetooth, and Wi-Fi sensors, which are vulnerable to privacy issues and require much time to collect enough data. Whereas physical sensors including accelerometer, magnetic field and gyroscope sensors are less vulnerable to privacy issues and can collect a large amount of data within a short time. In this paper, a method for detecting accompanying status based on deep learning model by only using multimodal physical sensor data, such as an accelerometer, magnetic field and gyroscope, was proposed. The accompanying status was defined as a redefinition of a part of the user interaction behavior, including whether the user is accompanying with an acquaintance at a close distance and the user is actively communicating with the acquaintance. A framework based on convolutional neural networks (CNN) and long short-term memory (LSTM) recurrent networks for classifying accompanying and conversation was proposed. First, a data preprocessing method which consists of time synchronization of multimodal data from different physical sensors, data normalization and sequence data generation was introduced. We applied the nearest interpolation to synchronize the time of collected data from different sensors. Normalization was performed for each x, y, z axis value of the sensor data, and the sequence data was generated according to the sliding window method. Then, the sequence data became the input for CNN, where feature maps representing local dependencies of the original sequence are extracted. The CNN consisted of 3 convolutional layers and did not have a pooling layer to maintain the temporal information of the sequence data. Next, LSTM recurrent networks received the feature maps, learned long-term dependencies from them and extracted features. The LSTM recurrent networks consisted of two layers, each with 128 cells. Finally, the extracted features were used for classification by softmax classifier. The loss function of the model was cross entropy function and the weights of the model were randomly initialized on a normal distribution with an average of 0 and a standard deviation of 0.1. The model was trained using adaptive moment estimation (ADAM) optimization algorithm and the mini batch size was set to 128. We applied dropout to input values of the LSTM recurrent networks to prevent overfitting. The initial learning rate was set to 0.001, and it decreased exponentially by 0.99 at the end of each epoch training. An Android smartphone application was developed and released to collect data. We collected smartphone data for a total of 18 subjects. Using the data, the model classified accompanying and conversation by 98.74% and 98.83% accuracy each. Both the F1 score and accuracy of the model were higher than the F1 score and accuracy of the majority vote classifier, support vector machine, and deep recurrent neural network. In the future research, we will focus on more rigorous multimodal sensor data synchronization methods that minimize the time stamp differences. In addition, we will further study transfer learning method that enables transfer of trained models tailored to the training data to the evaluation data that follows a different distribution. It is expected that a model capable of exhibiting robust recognition performance against changes in data that is not considered in the model learning stage will be obtained.