• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.19 no.4
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• pp.412-422
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• 2009

This study was conducted to assess exposure to musculoskeletal disorder(MSD) risk factors in hospital personnel who performed non-routinized work tasks. A tool ("PATH-KOSHA" version) was newly revised from PATH(Posture, Activity, Tools and Handling) method and uploaded into a personal digital assistant(PDA). The version was used, on a basis of direct-observation, to collect PATH data at the 2 hospital settings in different regions. Job analysis was performed to get various information (e.g., work and rest time, task type) as well. The data collected were visually checked for data cleaning and stored for future data analysis. A total of 1,992 PATH observations were made for 37 hospital workers. Exposure levels varied across 18 items of the MSD risk factors. The highest percent time spent on non-neutral postures was 53% for wrist deviation, followed by 47%(pinch grip), 35%(trunk posture), 23%(neck posture), and 20%(shoulder/arm posture). The highest percent time spent among hand activity level(HAL) variables was 55% for HAL-cat2 (HAL: 3.3 - <6.7). The percent time of items with respect to both loads with more than 5kg and contact stress was less than 4%. Vibration was not exposed in the study workers. Different aspects were discussed for findings. The study results showed that wrist deviation was highest in percent time spent on awkward posture while HAL-cat2 was highest in hand repetition. The study suggests that distal upper extremity posture and HAL should be primarily addressed and controlled in non-routinized work including the hospital settings.

• Journal of the Korean Institute of Landscape Architecture
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• v.33 no.6 s.113
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• pp.109-126
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• 2006

As the national interest in sports has been increased over time, sports facilities and sports complex are considered more than just physical environments for training athletes or watching games. Sports facilities now become symbolic spatial devices to represent the national and cultural pride of any countries. The existing national training camp located in Taenung, Seoul is gotting outdated and degraded. The polluted air in the city risks athletes' health condition. The government planned to construct the second training camp at Jincheon, Chungbuk at the area of $2,171,910m^2$. The Korea Sports Council called for proposals to envision the future training camp, and they held a design competition from August to November, 2005. The first phase was to present the masterplan for the entire site including training buildings, outdoor training facilities, dormitories, a visitor center, a research center, education and administration buildings. Considering the size of the site, the planning process required a strong relationship between landscape and architecture. This study tries to provide general explanations on the winning proposal focused on the landscape-related issues. It also attempts to have reference points for contemporary planning and design issues to situate the project in the stream of continuing design effort to avoid the dichotomy between nature and culture. The landscape proposal for the new national taming camp suggests four main strategies; 1) The camp has two intersecting and interweaving parks which represent the natural and urban order. 2) The entire site is organized and networked by the flow of landscape called landscape ribbon in terms of topography, vegetation, and water flow. 3) The landscape is choreographed through the time and process. 4) The ecological process and the digital contents are juxtaposed in the landscape. This winning proposal is the first step to portray the national vision for the sustainable environment coexisting with sports industry. Landscape in this proposal is an active agent to network various parts of the site which enables landscape to be infrastructure. Landscape design in this proposal should be considered open-ended strategies rather than determined concrete forms and its engaging further development will be tested in following Design-Build phase.

• Journal of Korea Game Society
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• v.18 no.4
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• pp.53-64
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• 2018

The digital era opens with the changing times and many parts of life has become convenient. With this convenience of living, the obesity rate of people is gradually increasing, and the necessity of exercise is emerging. However, many studies have shown that many people do not exercise or stop exercising in three to six months. In this paper, we have designed and developed a "Walking Pet" prototype, a healthcare-inspired AR game, based on the theoretical background of exercise and the precedent studies to verify these facts. The developed "Walking Pet" provides exercise data to motivate the person to exercise and apply the pet system to eventually enjoy the exercise. In order to verify the effectiveness of the "Walking Pet" prototype developed in this paper, we surveyed 100 males and females in need of health care applications and surveyed the satisfaction of pure functional aspects.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.11-21
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• 2016

Recently, structure safety management techniques using cutting-edge technology(Displacement senor, sensor of acceleration) has emerged as an important issue owing to the aging of infrastructure such as bridge and building. In general, the structural monitoring system for structure safety management is based on IT technology and it is expensive to install. In this paper developed an image-based structure dynamic characteristic analysis system prototype to assess the damage of structure in a more cost-effective way than traditional structure health monitoring system. The inspector can take a video of buildings or other structures with digital camera or any other devices that is passible to take video, and then using NCC calculation for image processing technique to get natural frequency. This system is analysis of damage of the structure using a compare between the frequency response ratio and functions when problems are occurs send alarm to administrator. This system is easier to install and remove than previous monitoring sensor in economical way.

• Journal of Korea Multimedia Society
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• v.21 no.4
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• pp.450-463
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• 2018

Sound based machine fault diagnosis is the process consisting of detecting automatically the damages that affect the machines by analyzing the sounds they produce during their operating time. The collected sounds being inevitably corrupted by random disturbance, the most important part of the diagnosis consists of discovering the hidden elements inside the data that can reveal the faulty patterns. This paper presents a novel feature extraction methodology that combines various digital signal processing and pattern recognition methods for the analysis of the sounds produced by the drills. Using the Fourier analysis, the magnitude spectrum of the sounds are extracted, converted into two-dimensional vectors and uniformly normalized in such a way that they can be represented as 8-bit grayscale images. Histogram equalization is then performed over the obtained images in order to adjust their very poor contrast. The obtained contrast enhanced images will be used as the features of our diagnosis system. Finally, principal component analysis is performed over the image features for reducing their dimensions and a nonlinear classifier is adopted to produce the final response. Unlike the conventional features, the results demonstrate that the proposed feature extraction method manages to capture the hidden health patterns of the sound.

• Imaging Science in Dentistry
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• v.35 no.4
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• pp.185-190
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• 2005

Purpose: Once the decision has been made to adopt an integrated medical information system (IMIS), there are a number of issues to overcome. Users need to be aware of the impact the change will make on end users and be prepared to address issues that arise before they become problems. The purpose of this study is to investigate the benefits and unexpected problems encountered in the implementation of IMIS and to determine a useful framework for IMIS. Materials and Methods: The Yonsei University Dental Hospital is steadily constructing an IMIS. The vendor's PACS software, Piview STAR, supports transactions between workstations that are approved to integrating the healthcare enterprise (IHE) with security function. It is necessary to develop an excellent framework that is good for the patient, healthcare provider and information system vendors, in an expert, efficient, and cost-effective manner. Results : The problems encountered with IMIS implementation were high initial investments, delay of EMR enforcement, underdevelopment of digital radiographic appliances and software and insufficient educational training for users. Conclusions: The clinical environments of dental IMIS is some different from the medical situation. The best way to overcome these differences is to establish a gold standard of dental IMIS integration, which estimates the cost payback. The IHE and its technical framework are good for the patient, the health care provider and all information systems vendors.

• Biomedical Science Letters
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• v.18 no.4
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• pp.399-405
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• 2012

The brain is the body's most organized and controlled organ, and it governs various psychological and mental functions. A brain abnormality could greatly affect one's physical and mental abilities, and consequently one's social life. Brain disorders can be broadly categorized into three main afflictions: stroke, brain tumor, and dementia. Among these, stroke is a common disease that occurs owing to a disorder in blood flow, and it is accompanied by a sudden loss of consciousness and motor paralysis. The main types of strokes are infarction and hemorrhage. The exact diagnosis and early treatment of an infarction are very important for the patient's prognosis and for the determination of the treatment direction. In this study, texture features were analyzed in order to develop a prototype auto-diagnostic system for infarction using computer auto-diagnostic software. The analysis results indicate that of the six parameters measured, the average brightness, average contrast, flatness, and uniformity show a high cognition rate whereas the degree of skewness and entropy show a low cognition rate. On the basis of these results, it was suggested that a digital CT image obtained using the computer auto-diagnostic software can be used to provide valuable information for general CT image auto-detection and diagnosis for pre-reading. This system is highly advantageous because it can achieve early diagnosis of the disease and it can be used as supplementary data in image reading. Further, it is expected to enable accurate medical image detection and reduced diagnostic time in final-reading.

• Progress in Medical Physics
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• v.30 no.2
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• pp.49-58
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• 2019

Purpose: Automated analytical systems have begun to emerge as a database system that enables the scanning of medical images to be performed on computers and the construction of big data. Deep-learning artificial intelligence (AI) architectures have been developed and applied to medical images, making high-precision diagnosis possible. Materials and Methods: For diagnosis, the medical images need to be labeled and standardized. After pre-processing the data and entering them into the deep-learning architecture, the final diagnosis results can be obtained quickly and accurately. To solve the problem of overfitting because of an insufficient amount of labeled data, data augmentation is performed through rotation, using left and right flips to artificially increase the amount of data. Because various deep-learning architectures have been developed and publicized over the past few years, the results of the diagnosis can be obtained by entering a medical image. Results: Classification and regression are performed by a supervised machine-learning method and clustering and generation are performed by an unsupervised machine-learning method. When the convolutional neural network (CNN) method is applied to the deep-learning layer, feature extraction can be used to classify diseases very efficiently and thus to diagnose various diseases. Conclusions: AI, using a deep-learning architecture, has expertise in medical image analysis of the nerves, retina, lungs, digital pathology, breast, heart, abdomen, and musculo-skeletal system.

• Restorative Dentistry and Endodontics
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• v.29 no.4
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• pp.370-377
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• 2004

The purpose of this study was to regenerate human dental pulp tissues similar to native pulp tissues. Using the mixture of type I collagen solution, primary cells collected from the different tissues (pulp, gingiva, and skin) and NIH 3T3 ($1{\;}{\times}{\;}10^5{\;}cells/ml/well$) were cultured at 12-well plate at $37^{\circ}C$ for 14 days. Standardized photographs were taken with digital camera during 14 days and the diameter of the contracted collagen gel matrix was measured and statistically analyzed with student t-test. As one of the pulp tissue engineering, normal human dental pulp tissue and collagen gel matrix cultured with dental pulp cells for 14 days were fixed and stained with Hematoxyline & Eosin. According to this study, the results were as follows: 1. The contraction of collagen gel matrix cultured with pulp cells for 14 days was significantly higher than other fibroblasts (gingiva, skin) (p < 0.05), 2. The diameter of collagen gel matrix cultured with pulp cells was reduced to 70.4% after 7 days, and 57.1% after 14 days. 3. The collagen gel without any cells did not contract, whereas the collagen gel cultured with gingiva and skin showed mild contraction after 14 days (88.1% and 87.6% respectively). 4. The contraction of the collagen gel cultured with NIH 3T3 cells after 14 days was higher than those cultured with gingival and skin fibroblasts, but it was not statistically significant (72.1%, p > 0.05). 5. The collagen gel matrix cultured with pulp cells for 14 days showed similar shape with native pulp tissue without blood vessels. This approach may provide a means of engineering a variety of other oral tissue as well and these cell behaviors may provide information needed to establish pulp tissue engineering protocols.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.9.1-9
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• 2001

Concerning the development of suitable healthcare equipment for a aged people at their homes in order to reduce the labor and increase the efficiency in the homehelpers' work, we conducted a study on the actual conditions of healthcare in Kyoto city (healthcare in taking a meal and excretion, moving and taking a bath by using a hand-powered lift, moving by a wheelchair, shower carrier healthcare, assistance in body care and housework) by digital video filming, interviews and layout investigations. On the base of those investigations by using methods for analysis of video pictures, we divided the healthcate work into scenes and e exctracted the main problems in terms of health care equipment, information, environment, healthcare skills, mental burden, social s system, family burden, ete. Furthermore the questionnaire survey of home helpers (18 persons - 50% answers) clarified that more than half of them have lumbago pains and the biggest load in the everyday healthcare c comes from moving the patients or getting them into or out of t the equipment for moving. Finally we considered concrete proposals appropriate for each h healthcare scene image, based on evaluation toward efficiency (design guidelines) for suitable healthcare equipment for aged people at their homes: 1) Design toward a proper posture 2) Design toward self-help possibility 3) Design toward patient active participation 4) Design toward rationality of the whole process 5) Design toward place-appropriate healthcare equipment 6) Design toward healing of mind 7) Good level of healthcare skills 8) Economic, systematic rationality