• International journal of advanced smart convergence
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• v.2 no.2
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• pp.40-42
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• 2013

Recent medical industry is an aging society and the application of national health insurance, with state-of-the-art research and development, including the pharmaceutical market is greatly increased. The nation's health care industry through new support expansion and improve the quality of life for the research and development will be needed. In addition, systemic administration of basic medical supplies, or drugs are needed, the drug at the same time managing how systematic analysis of pharmaceutical ingredients, based on data through the purchase of new medicines and pharmaceutical ingredients automatically classified by analyzing the statistics of drug purchases and the future a system that can predict a patient is needed. In this study, the drugs to the patient according to the component analysis and predictions for future research techniques, k-means clustering and k-NN (Nearest Neighbor) Comparative studies through experiments using the techniques employ a more efficient method to study how to proceed. In this study, the effects of the drugs according to the respective components in time according to the number of pieces in accordance with the patient by analyzing the statistics by predicting future patient better medical industry can be built.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.842-845
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• 2012

의료기기는 헬스케어 서비스를 위한 필수요소로 최근 의료와 관련된 스마트폰 애플리케이션의 증가와 함께 스마트폰과 연결되는 의료기기를 활용한 스마트 헬스케어가 대두되고 있다. 이러한 스마트 헬스케어는 현재 ISO/IEEE 11073 표준을 통해 의료기기와 게이트웨이를 연결하여 임상정보를 전송하고 게이트웨이는 HL7 CDA 표준 문서를 통해 전자 건강 기록 및 개인 건강 기록 시스템, 임상 워크플로우 및 임상 의사 결정 지원 시스템과 같은 유형의 의료 서비스 시스템과 연동하는 솔루션이다. ISO/IEEE 11073은 DIM(Domain Information Model)이라는 정보 모델을 기반으로 하며 HL7 v3인 CDA는 RIM(Reference Information Model)이 있기 때문에 상이한 인터페이스간의 매핑 매커니즘을 필요로 한다. 이에 본 논문에서는 스마트폰 환경에서 의료 응용 애플리케이션에서의 효율적인 의료기기 데이터 운용을 위해 RMIM(Refined Message Information Model) 기반의 IEEE 11073 DIM/HL7 v3 RIM 표준 인터페이스 변환 방법을 제안한다.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1097-1103
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• 2018

The purpose of this study is to arrange a plan for which humanities digital contents can be directly utilized in modern people's life through a convergent approach between humanities and ICT. It inquired into a plan for developing and applying contents, which are made contents in the aspect of cartoon and animation, by excavating contents available for advancing to start-up in Greater China based on the Chinese cultural content archetype. Also, the aim is to offer the integrated start-up DB and child-care mentoring program for advancing to greater China that supports the development in specific ICT start-up item, through a research on smart-phone APP publishing environment based on ICT and a research on mobile big-data ecological environment.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.161-168
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• 2019

Traffic accidents in tunnel can lead to large traffic accidents due to narrow and dark road characteristics. Therefore, special care of the driver is required when is driving in a tunnel. However, accidents can happen at any time. In the event of an accident, a narrow road structure may lead to a second accident. Therefore, all facilities installed inside the tunnel should be allowed to minimize damage in the event of an accident. We confirmed the safety of the collision target through the action of the sedan, Sport Utility Vehicle (SUV) and truck when the vehicle crashed into a stairway installed on the tunnel emergency escape route, and when a concrete barrier or guard rail was installed in front of the stairway. The behavior of the vehicle has resulted in a total of three results: rollover or rollover, change of speed and angle of the vehicle after collision. The sedan and SUV were the most secure when colliding with the guardrail, but considering the truck as a whole, concrete barriers were judged to be the most suitable for minimizing damage from the first accident and reducing the risk of the second accident.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.58-67
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• 2019

The purpose of this study was to examine the relationship between sleep disorders, job satisfaction, health promotion behavior, quality of life, turnover intention. And also to find the predicting factors on turnover intention of shift and non-shift nurses. A descriptive study design was used. Study subjects were 239 nurses worked as a shift (167) and non-shift (72) in two general hospitals in P city. Turnover Intent, Sleep disorders, Job satisfaction, practicing health promotion profile and quality of life scales were used to collect the data. Data were analyzed by descriptive statistics and Pearson's correlation coefficient for find the relationship between study variables. Stepwise multiple regressions used to find predicting factors of turnover intention with other variables. The shift group showed lower Job satisfaction, practice of health promotion behavior and intention of turnover than non-shift nurses. The most important predictive factors of turnover intention in of shift group was job satisfaction (β =-. 477, p <.001) and non-shift group was health promotion behavior (β =-. 295, p = .040) than other factors. Findings showed that turnover intention highly influenced by job satisfaction than health promoting behavior and quality of life. This study suggests organizational efforts to provide sufficient staffing and nurse managersshould make more concentration to allot work schedule in order to avoid over load shift nurses and promote quality of client care.

• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1857-1862
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• 2016

Human activity recognition using depth information is an emerging and challenging technology in computer vision due to its considerable attention by many practical applications such as smart home/office system, personal health care and 3D video games. This paper presents a novel framework of 3D human body detection, tracking and recognition from depth video sequences using spatiotemporal features and modified HMM. To detect human silhouette, raw depth data is examined to extract human silhouette by considering spatial continuity and constraints of human motion information. While, frame differentiation is used to track human movements. Features extraction mechanism consists of spatial depth shape features and temporal joints features are used to improve classification performance. Both of these features are fused together to recognize different activities using the modified hidden Markov model (M-HMM). The proposed approach is evaluated on two challenging depth video datasets. Moreover, our system has significant abilities to handle subject's body parts rotation and body parts missing which provide major contributions in human activity recognition.

• Proceedings of the Korean Fiber Society Conference
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• 2003.10a
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• pp.55-56
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• 2003

An old castle in a tranquil setting. At first glance, no-one would suspect that this was the backdrop for the research and services centre providing expertise from all areas of the textile-clothing supply chain, textile care and other associated sectors. The Hohenstein Institutes are a modern communications centre with the latest research equipment where highly qualified scientists carry out their research and exchange knowledge. This combination of high-calibre staff and the philosophy of the unity of research, training and application have guaranteed the Hohenstein team of their position as an internationally respected institution offering high levels of expertise in all areas of the textile-clothing chain. At the beginning of the 21st century, the team of scientists at Hohenstein made the research and development of high-tech textile and garment innovations their number one priority. They recognise a rapidly developing market for "intelligent textiles" and "Smart Clothes" capable of adapting their function to the existing environmental conditions. Clients for the research projects, which are often carried out in conjunction with other institutions and industry, are research associations, federal ministries, the European Union and numerous leading companies both in Germany and abroad. The Hohenstein Institutes dispose of four international offices at the moment: in Turkey (since 1996), USA (since 1999), Lima (since 2002) and Mexico (since 2003).

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.12
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• pp.1857-1864
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• 2013

In 21 century, it is difficult to define the limit of home automation, Recently, based on the advanced digital communication technology and necessity, The scope of the home automation has widened to home energy management, integrated reading of home and home health care etc. beyond the existing home automation. However, those methodologies reduce the efficiency and economy, and make it harder to realize a compact home automation because those methodologies are proposed independently without a unified standard. Therefore, this paper investigates and analyzes these methodologies, and then proposes an advanced home automation system that enables a compact design and improves the efficiency and economics of the home automation system based on the analyzed result.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.3
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• pp.427-440
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• 2020

This study developed a vest prototype capable of monitoring body temperature using textile electrodes to prevent the sudden death of babies as well as to determine the quality of developed products by evaluating usability with commercial products. Based on the results of the 7th Size Korea Project, a basic pattern for a vest prototype was drafted by applying the average size of two-year-old Korean babies. Two prototypes were the detachable (VEST I) and integrated textile electrodes vest type (VEST II), which followed the same design. The materials were 100% cotton single jersey (SJ) and double jersey (DJ). Six experts evaluated the usability of the developed vests (VEST I & VEST II) and commercial product (VEST M). The single-layer woven textile electrode appeared to have a slightly higher conductivity than the double-layer one. There was no statistical difference in the body temperature sensing function between VEST I and VEST II. Finally, the superiority of the VEST I was verified through a comparison with commercial products (VEST M). The usability test suggested that a wearable smart clothing system of the integrated conductive textile could be further commercialized for bio-monitor applications in Ubiquitous-health care.

• Smart Structures and Systems
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• v.19 no.6
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• pp.679-694
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• 2017

The complexity, enlargement and irregularity of structures and multi-directional dynamic loads acting on the structures can lead to unexpected structural behavior, such as torsion. Continuous torsion of the structure causes unexpected changes in the structure's stress distribution, reduces the performance of the structural members, and shortens the structure's lifespan. Therefore, a method of monitoring the torsional behavior is required to ensure structural safety. Structural torsion typically occurs accompanied by displacement, but no model has yet been developed to measure this type of structural response. This research proposes a model for measuring dynamic torsional response of structure accompanied by displacement and for identifying the torsional modal parameter using vision-based displacement measurement equipment, a motion capture system (MCS). In the present model, dynamic torsional responses including pure rotation and translation displacements are measured and used to calculate the torsional angle and displacements. To apply the proposed model, vibration tests for a shear-type structure were performed. The torsional responses were obtained from measured dynamic displacements. The torsional angle and displacements obtained by the proposed model using MCS were compared with the torsional response measured using laser displacement sensors (LDSs), which have been widely used for displacement measurement. In addition, torsional modal parameters were obtained using the dynamic torsional angle and displacements obtained from the tests.