• Convergence Security Journal
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• v.13 no.4
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• pp.61-68
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• 2013

Compared to the past, the number of disabled people in Korea is continuing to increase. As for the scope of the disability, it is expanding as well since it now includes all types of illnesses, car accidents, complications resulting from aging, industrial accidents and others accidents. Attempts are made in terms of applying sports game method that grafts IT technology in order to ensure that the disabled people participate continually in sports. While casting away the notion of play which was the role of a game in the past, new roles and domains were developed. In fact, serious game genre is what leads this change. Because serious game is leading the game industry fast, centered on education, sports, fitness and medical use, its market value can be considered very significant since it can be both fund and effective as it targets the disabled who cannot enjoy sports easily in reality. Accordingly, this research seeks to present the direction for the application of serious game for the disabled people by analyzing the current situation pertaining to the integrated and converged cases applied to the field of sports for the disabled when it comes to the serious game that uses contents based on the IT technology.

• Convergence Security Journal
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• v.17 no.2
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• pp.153-158
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• 2017

The robot imitates humans and recognizes the external environment and judges the situation. The robot is a machine that operates autonomously. Robots are divided into manufacturing robots and service robots. Service robots are classified as professional service robots and personal service robots. Because of the intensified competition of productivity in manufacturing industries, rising safety issues, low birth rate and aging, the robots industry is emerging. Recently, the robot industry is a complex of advanced technology fields, and it is attracting attention as a new industry where innovation potential and growth potential are promising. IT, BT, and NT related elements are fused and implemented, and the ripple effect is very large. Due to changes in social structure and life patterns, social interest in life extension and health is increasing. There is much interest in the medical field. Now the artificial intelligence (AI) industry is growing rapidly. It is necessary to secure global competitiveness through strengthening cooperation between large and small companies. We must combine R&D investment capability and marketing capability, which are advantages of large corporations, and robotic technology. We need to establish a cooperative model and secure global competitiveness through M&A.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.368-372
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• 2007

Recently, construction companies prefer to use large scale system forms to prepare for lacking of skilled workers, aging and the chances of application of pre-build&post-sale policy. In result of the effort and interest, the duration for framework of domestic high rise buildings has been accomplished to 3-4days per floor but for the apartment housing which form over 90% of the domestic construction industry, and especially the middle story RC apartments which is the main part, the duration for framework is only about 6-8days per level. This is only about 50% of the duration per level of RC residential buildings in North America. In previous researches elementary technology, which has potential of duration reduction, was proposed and this research suggest the applicability in construction sites and ways to improve it using elementary technology applied Mock-up Test. Furthermore, we analyze the productivity and T/C usage rate of the 6day-Cycle and suggest an improved model.

• Korean Institute of Interior Design Journal
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• v.26 no.1
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• pp.114-123
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• 2017

The objective of this paper is to investigate problems associated with the storehouse affiliated with rural housing for the elderly engaged in farming activities, and to suggest improvements with the examples of storehouse floor plans. The elderly in rural area still engage in farming even though they are suffering from aging problems. Therefore, the planning of storehouse which has relevance to agriculture is very important. The methods employed were a field survey and interviews with residents. 12 houses belonging to elderly people (60's and over) were selected by the convenient sampling in Cheonan, Chungcheongnam-do. The results are as follows. First, at least more than 3 storehouses have to be planned to store the goods separatedly according to their kinds and characteristics. Second, storehouses should be placed near or directly connected with the main house to support the accessibility of the elderly. Third, the open space has to be planned in front of the storehouse to park a truck for loading goods directly. Fourth, the storage equipments such as shelves should be planned inside of the storehouse for the space efficiency and user convenience. Fifth, the width of the door should be wide enough to carry agricultural products and goods. It is recommended to use double hinged doors or double pocket doors. Besides, the thresholds of the doors should be removed and, rather than using direct lighting system, it is better to use indirect lightings and task lightings together to minimize glare and to provide enough illumination.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.423-440
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• 2010

The purpose of this paper is to prepare the department creation and the staff increase of education institution by forecasting the demand of health and welfare workers according to execution of the elderly's long-terms treatment insurance system in July, 2008. We estimated confirmors of the elderly's long-terms treatment and the demand of professional workers of health and welfare field due to the increase of care insurance users in facilities treatment organization, care at home service facilities, and family allowance facilities for 2010-2030. The numbers of social welfare professional worker are estimated as 16,624 workers in 2020 and 24,688 workers in 2030. The numbers of nurses are forecasted as 11.287 in 2020 and 16,624 in 2030, we expect that the increase of the demand be accelerated. The demand of necessary care probation worker is 44,824 in 2009, but we already trained over around 500,000 workers in 1,078 education institutions through one year in Aug. 31, 2009, which excesses over the numbers of workers demanded as much as 10 times.

• Biomolecules & Therapeutics
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• v.20 no.4
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• pp.357-370
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• 2012

Radiation therapy, the most commonly used for the treatment of brain tumors, has been shown to be of major significance in tumor control and survival rate of brain tumor patients. About 200,000 patients with brain tumor are treated with either partial large field or whole brain radiation every year in the United States. The use of radiation therapy for treatment of brain tumors, however, may lead to devastating functional deficits in brain several months to years after treatment. In particular, whole brain radiation therapy results in a significant reduction in learning and memory in brain tumor patients as long-term consequences of treatment. Although a number of in vitro and in vivo studies have demonstrated the pathogenesis of radiation-mediated brain injury, the cellular and molecular mechanisms by which radiation induces damage to normal tissue in brain remain largely unknown. Therefore, this review focuses on the pathophysiological mechanisms of whole brain radiation-induced cognitive impairment and the identification of novel therapeutic targets. Specifically, we review the current knowledge about the effects of whole brain radiation on pro-oxidative and pro-inflammatory pathways, matrix metalloproteinases (MMPs)/tissue inhibitors of metalloproteinases (TIMPs) system and extracellular matrix (ECM), and physiological angiogenesis in brain. These studies may provide a foundation for defining a new cellular and molecular basis related to the etiology of cognitive impairment that occurs among patients in response to whole brain radiation therapy. It may also lead to new opportunities for therapeutic interventions for brain tumor patients who are undergoing whole brain radiation therapy.

• Restorative Dentistry and Endodontics
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• v.23 no.1
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• pp.223-235
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• 1998

The recognition of the esthetics as well as their function of the teeth in the dental field is growing. Evaluating the esthetics of a tooth concerns shape, texture, and color. And among these, color has been the most difficult element to make natural expression. Color is a very subjective element affected by many different factor like light source, object, observer. Numerous efforts to quantifying color has been made. Currently the use of colorimeter and spectrophotometercolor that the color measuring device has been suggested. In this study, the normal range of the tooth color in canines, lateral incisors and central incisors for Koreans was evaluated with a modified spectrophotometer for intraoral use. The color differences in terms of teeth positions, age and area within the tooth was evaluated and comparatively analyzed. Results were as follow ; 1. In all age groups, the central incisors are most bright and least yellowish opposit to the canines are most dark and yellowish. The central incisors and lateral incisors showed the similar color patterns. 2. In the comparison between gender, it showed that in the 10' s group male have more yellowish, the 20's female have lighter and more redness, the 30's indicated more redness in female and in the 40's the lightness is more in female. 3. With aging, there was no significant change in $L^*$ and $a^*$ coordinates but a shift was in $b^*$ to yellowish in the 30' sand 40's in central incisors. Lateral incisors and canines showed a lighter and more yellowish tooth color with an irregular change of color coordinate in $a^*$. 4. In all teeth the middle and cervical portion showed close correlation with over 0.7(0.05>p) but color ($a^*$, $b^*$) showed higher correlation than lightness($L^*$). 5. It has been shown that through the regression test the cervical color could be calculated by the middle color value.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.619-625
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• 2007

As low power, low cost wireless communication technology like Bluetooth, Zigbee, RFID has been put to practical use together with the wellbeing trend, the concern about ubiquitous health care has been greatly increased and u-Health is becoming one of the most important application in the sensor network field. Especially, development of the medical services to be able to cope with a state of emergency for solitary senior citizens and the aged in silver town is very meaningful itself and their needs are also expected to continuously increase with a rapid increase in an aging population. In this paper we demonstrate the feasibility of extracting accurate heart rate variability (HRV) measurements from photoelectric plethysmography(PPG) signals gathered by a ring type pulse oximeter sensor attached to the finger. For this, we made 2 types of ring sensor, that is reflective and pervious type, and developed the remote monitoring system which is able to collect HR data from ring sensor, analyze and cope with a state of emergency.

• Smart Structures and Systems
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• v.24 no.5
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• pp.631-639
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• 2019

Finite element analysis is one of the important methods to study the structural performance. Due to the simplification, discretization and error of structural parameters, numerical model errors always exist. Besides, structural characteristics may also change because of material aging, structural damage, etc., making the initial finite element model cannot simulate the operational response of the structure accurately. Based on Bayesian methods, the initial model can be updated to obtain a more accurate numerical model. This paper presents the work on the field test, modal identification and model updating of a Chinese reinforced concrete pagoda. Based on the ambient vibration test, the acceleration response of the structure under operational environment was collected. The first six translational modes of the structure were identified by the enhanced frequency domain decomposition method. The initial finite element model of the pagoda was established, and the elastic modulus of columns, beams and slabs were selected as model parameters to be updated. Assuming the error between the measured mode and the calculated one follows a Gaussian distribution, the posterior probability density function (PDF) of the parameter to be updated is obtained and the uncertainty is quantitatively evaluated based on the Bayesian statistical theory and the Metropolis-Hastings algorithm, and then the optimal values of model parameters can be obtained. The results show that the difference between the calculated frequency of the finite element model and the measured one is reduced, and the modal correlation of the mode shape is improved. The updated numerical model can be used to evaluate the safety of the structure as a benchmark model for structural health monitoring (SHM).

• Smart Structures and Systems
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• v.24 no.6
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• pp.723-732
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• 2019

Globally road transport networks are subjected to continuous levels of stress from increasing loading and environmental effects. As the most popular mean of transport in the UK the condition of this civil infrastructure is a key indicator of economic growth and productivity. Structural Health Monitoring (SHM) systems can provide a valuable insight to the true condition of our aging infrastructure. In particular, monitoring of the displacement of a bridge structure under live loading can provide an accurate descriptor of bridge condition. In the past B-WIM systems have been used to collect traffic data and hence provide an indicator of bridge condition, however the use of such systems can be restricted by bridge type, assess issues and cost limitations. This research provides a non-contact low cost AI based solution for vehicle classification and associated bridge displacement using computer vision methods. Convolutional neural networks (CNNs) have been adapted to develop the QUBYOLO vehicle classification method from recorded traffic images. This vehicle classification was then accurately related to the corresponding bridge response obtained under live loading using non-contact methods. The successful identification of multiple vehicle types during field testing has shown that QUBYOLO is suitable for the fine-grained vehicle classification required to identify applied load to a bridge structure. The process of displacement analysis and vehicle classification for the purposes of load identification which was used in this research adds to the body of knowledge on the monitoring of existing bridge structures, particularly long span bridges, and establishes the significant potential of computer vision and Deep Learning to provide dependable results on the real response of our infrastructure to existing and potential increased loading.