• International journal of advanced smart convergence
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• 제5권3호
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• pp.56-60
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• 2016

Body physical technique is to pursuit the dynamic motion by the physical index(PI) and sensory index(SI) on the physical body function. Function of the physical body by the motor condition is organized the dynamic physical system. For the physical motion of signal, we is defined a runout value of the body function by the physical index on the dynamic state. The concept of body physical index was identified the reference of physical index and sensory index by the body technique. As to detect a variation of the body physical technique-runout physical index(BPT-RPI) of the maximum and average and minimum in terms of physical motion, and the dynamic sensory value that was a runout function of the vision variation of the $Vi-{\xi}_{MAX-AVG-MIN}$ with $2.53{\pm}4.85$ units, that was a runout function of the vestibular variation of the $Ve-{\xi}_{MAX-AVG-MIN}$ with ($-0.69{\pm}2.32$)units, that was a runout function of the somatosensory variation of the $So-{\xi}_{MAX-AVG-MIN}$ with ($-1.43{\pm}-1.36$) units. The dynamic physical motion will be to confirm at the variable function of the runout motion for the body function values of dynamic physical index on the BPT-RPI that was identified an evaluation of the physical sensory function by the dynamic physical system. Runout body system was mentioned of a physical body situation by the mild moving and was refer a runout data of dynamic physical nervous index.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.63-69
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• 2020

The rapid development in modern industrialization pollutant the water and atmospheric air across the globe that have a major impact on the human and livings health. In worldwide, every country government increasing the importance to improve the outdoor air pollution monitoring and control to provide quality of life and prevent the citizens and livings life from hazard disease. We proposed the environmental dust level detection method for outdoor facilities using sensor fusion technology to measure precise micro-dust level and monitor in realtime. In this proposed approach use the camera sensor and commercial dust level sensor data to predict the micro-dust level with data fusion method. The camera sensor based dust level detection uses the optical flow based machine learning method to detect the dust level and then fused with commercial dust level sensor data to predict the precise micro-dust level of the outdoor facilities and send the dust level informations to the outdoor air pollution monitoring system. The proposed method implemented on raspberry pi based open-source hardware with Internet-of-Things (IoT) framework and evaluated the performance of the system in realtime. The experimental results confirm that the proposed micro-dust level detection is precise and reliable in sensing the air dust and pollution, which helps to indicate the change in the air pollution more precisely than the commercial sensor based method in some extent.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.185-192
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• 2020

The number of dementia patients in Korea is expected to increase to 3.30 million in 2050, and the cost of dementia management will increase sharply to KRW 106.5 trillion of GDP. In August 2017, the Moon Jae-in government announced the 'Dementia National Responsibility System' through a five-year plan for government operation and expanded the Dementia Peace Center nationwide. However, for this, strategic dementia-related technology development strategies should be established and given the role of government and the role of the private sector. Therefore, in order to derive the corresponding strategy, this study developed the government's 'dementia' response technology development strategy through the situation analysis from the political, economic, social, and technological perspective and the environmental (PEST) analysis of the strengths, weaknesses, opportunities, and threats (SWOT). As a result, the direction of technology development in the dementia-related medical device market is expected to become a trend of developing dementia self-measurement by developing low-cost and high-efficiency diagnostic technology products. It has been shown that the development of various products for consumers should begin. As a result, the dementia market approach strategy should be premised, the related technical support and legal restrictions should be minimized, and the education of related experts should be strengthened to solve the government's development of dementia technology and the social problems of dementia. In addition, by developing joint projects with major companies around the world and actively participating in the technology platform, it is important to naturally build up skills accumulation for the development of dementia technology and competence skills of dementia technology experts in the long term.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.1-9
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• 2020

This study was conducted to investigate the effects of computer attitudes such as anxiety, confidence, preference, usefulness, and computer literacy on their critical thinking ability, targeting college students at unspecified university universities. The period of data collection was from January 10, 2020 to January 17, 2020. A total of 213 people participated in the study. For data analysis, SPSS 18.0 was used for frequency analysis, Pearson correlation, x2 square, and simple regression analysis. As a result of the analysis, the difference of interests under the statistical significance level among general characteristics was Gender (x²=55.7^***, p<0.001), Age (x²=407.5^***, p<0.001), Resident (x²=127.5^***, p<0.001) Family (x²=289.4^***, p<0.001). In the simple regression analysis, computer liking (t=2.102, p<0.05) and computer use ability affected Truth seeking (t=-6.319, p<0.01), computer use ability was affecting analyticity (t=-5.630, p<0.01), computer use ability was affecting systematicity (t=-2.545, p<0.05), computer use ability was affecting maturity under statistical significance (t=-2.583, p<0.05). In conclusion, this study suggests that computer liking and computer use ability affect the sub-factor components of critical thinking disposition, truth seeking, analyticity, systematicity, and maturity, therefore the emphasis of this study is to emphasize that it is desirable to use the computer as a medium of learning based on computer literacy rather than worrying about excessive computer use.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.82-89
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• 2020

This study is a design study related to the application of 3D printer technology for garment printing. Knitting, which used to be a home industry in the early days, originally comes from hand-knitting. This evolved with various personal devices as a small job for the self-sufficiency of early European housewives. In addition, since the Industrial Revolution, mechanical production entered the mass production mass supply system, and various apparel products were provided to consumers in accordance with mass standardized dimensions. This is similar to the development process in Korea. In addition, it has formed a considerable market with the situation that it can produce and supply apparel products at low labor costs of first-generation Namdaemun and Dongdaemun merchants. As the production shifted to the Southeast Asian region due to the increase in labor costs in the domestically developed social situation, the production of garment products in Korea is now almost 5%. As a result, apparel-related production facilities and related companies are constantly moving to other countries to move production facilities sensitively due to rising labor costs. Recently, smart factory automation has been planned to explore new possibilities. In addition, in recent years, with the evolved appearance of consumers, the appropriate supply of the right amount of production has appeared, and the 3D printer applied to personal garment output has attracted considerable interest in the customized market. Therefore, in order to become a new hope and a small addition to various clothing workers, this study conducted related research on the following 3D printers for clothing output and attempted to proceed with a new design.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.154-162
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• 2020

We studies show that ratio of corpse among cremated bodies in public cremation facilities in metropolitan cities using E-Haneul funeral information system is average 90.1%, which is high, in bigger metropolitan cities with over 2 million of population (Incheon, Busan, and Daegu), but is average 81.4%, which is relatively low, in smaller metropolitan cities with less than 2 million of population(Daejeon, Gwangju, and Ulsan). In addition, the cremated bodies ratio of opening remains is average 17.4% in smaller metropolitan cities with less than 2 million of population, but is average 8.9% in those with over 2 million of population, which is relatively low. Finally, the cremated bodies ratio of dead fetuses is average 1.2% in smaller metropolitan cities with less than 2 million of population, and average 1.0% in those with over 2 million of population, which is low. Based on the above result, we are the following suggestions to improve the effectiveness of funeral facility use by the increase of demand for public cremation facilities in metropolitan cities. First, Busan and Daegu, where the shortage of supply is expected due to the increase of demand for cremation of corpse, need to implement supply expansion policy of public cremation facilities to build or expand cremation furnaces. Second, Daejeon, Gwangju, and Ulsan, where the cremated bodies ratio of corpse is low, need to expand supply through expanded operation from existing 4~8 cremation numbers of public cremation facilities to 11 cremation numbers, which is the level of Seoul Metropolitan City. Third, there should be cremation furnaces exclusively for opening remains to prepare the increase of demand for opening remains in the years with leap month.

• International journal of advanced smart convergence
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• 제5권2호
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• pp.53-58
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• 2016

With the growing use of big data and data mining, it serves to understand how such techniques can be used to understand various relationships in the healthcare field. This study uses hierarchical methods of data analysis to explore similarities in hospitalization across several New York state counties. The study utilized methods of measuring crowding distance of data for age-specific hospitalization period. Crowding distance is defined as the longest distance, or least similarity, between urban cities. It is expected that the city of Clinton have the greatest distance, while Albany the other cities are closer because they are connected by the shortest distance to each step. Similarities were stronger across hospital stays categorized by age. Hierarchical clustering can be applied to predict the similarity of data across the 10 cities of hospitalization with the measurement of crowding distance. In order to enhance the performance of hierarchical clustering, comparison can be made across congestion distance when crowding distance is applied first through the application of converting text to an attribute vector. Measurements of similarity between two objects are dependent on the measurement method used in clustering but is distinguished from the similarity of the distance; where the smaller the distance value the more similar two things are to one other. By applying this specific technique, it is found that the distance between crowding is reduced consistently in relationship to similarity between the data increases to enhance the performance of the experiments through the application of special techniques. Furthermore, through the similarity by city hospitalization period, when the construction of hospital wards in cities, by referring to results of experiments, or predict possible will land to the extent of the size of the hospital facilities hospital stay is expected to be useful in efficiently managing the patient in a similar area.

• International journal of advanced smart convergence
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• 제7권2호
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• pp.101-111
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• 2018

Celiac disease (CD) is an immune-mediated enteropathy of small intestine diagnosed in both childhood and adulthood. CD is caused by gluten, which produces gliadorphin during its digestion. The enzyme dipeptidyl peptidase-4 (DPP4) breaks gliadorphin down nevertheless the last tripeptide remains and eventually inhibits DPP4, thus slowing down its process. Therefore, the idea is to produce an additional DPP4 enzyme which is crucial. Consequently, the functional DPP4 gene was cloned into pCDNA3 intermediate (FLAG+DPP4) vector and finally a recombinant plasmid pSB1C3 (Andersons promoters+FLAG+DPP4) was constructed using synthetic biology. Normally, a DPP4 inhibitor is used as a cure for diabetes. Another important concern was overexpression of DPP4, which might lead to diabetes, accordingly the work was also performed for the regulation of the DPP4 gene expression. In this regard, three types of Anderson promoters (strong, moderate and weak) were utilized to study the control overexpression. This is the first report of idealistic trial for control the exogenous DPP4 gene-expression by molecular biologic tools.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권6호
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• pp.631-636
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• 2010

최근 방송통신 융합의 경향에 따라 IP 네트워크 통신 기반의 주문형 미디어와 지상파, 케이블등에 기반한 방송형 미디어를 모두 수용하는 하이브리드 IPTV가 주목을 받고 있다. 본 논문에서는 최신 H.264 코덱을 지원하는 하이브리드 IPTV를 위한 리치 미디어 프레임워크를 제안한다. 이를 위해 하이브리드 미디어를 다루는 TV에 최적화된 미디어 콤포넌트와 RIA 런타임 엔진을 개발한다. 미디어 콤포넌트는 RF 방송, IP 기반 저장된 미디어 및 라이브 미디어의 다양한 재생 방식에 대해 일관되면서도 효율적인 응용 인터페이스를 제공하도록 설계되었다. 특히, 성능과 이식성을 위해 미디어 콤포넌트는 미디어 스트림 추상화, 적응식 주문형 I-프레임 탐색, 재생시간 자동 계산 등을 채택하였다. 제안된 미디어 인터페이스를 기반으로 RIA 런타임 프로토타입을 개발하였다. RIA 런타임은 한정된 자원을 갖는 IPTV 환경에서의 최적화된 렌더링을 위해 프로세서의 내장 그래픽 가속기를 최대한 활용하도록 설계되었다. 개발된 프레임워크의 성능과 유용성을 검증하기 위해 시연 및 실험을 실시하고 그 결과를 제시한다. 제안된 프레임워크는 IPTV 기반 VOD, 광고, 교육 등의 응용에서 벡터 그래픽 및 하이브리드 미디어를 지원하는데 효과적으로 사용될 것으로 기대된다.

• International journal of advanced smart convergence
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• 제7권1호
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• pp.33-41
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• 2018

This study was designed to provide basic data for developing exercise program that helps correcting posture by knowing the effect of strengthening and elongation exercises of upper extremity muscle to forward head posture correction. In this study determined subjects whether they had forward head posture or not. On the basis of the New York state posture rating, if a subject's posture is match up with the normal standard posture, gives 5 points and if the posture is slightly get out of the normal standard posture, gives 3 points and if the posture is apparently get out of the standard, gives 1 points. When determining the forward head posture, if talus, humerus and outer ear center are on the same line, it is determined as normal and if outer ear center is off the line less than 1.0cm, it is a slight deformation and if outer ear center is off the line more than 1.0cm, it is a high deformation. In the study selected people who have more than 1 cm gap between two vertical lines start from outer ear center and acromion separately as subjects. Length between the ideal alignment line measured by using goniometer and temporal region showed statistically significant decrease as $2.36{\pm}1.07cm$ before the intervention and $1.06{\pm}0.88cm$ after the intervention. After 4 weeks of neck and chest extensor muscle exercise, the group who exercised both showed increase in range of neck joint motion and neck flexion of the forward head posture. Meanwhile the group who only exercised neck extensor muscle only and the group who only exercised chest extensor muscle didn't showed statistically significant result. That only the group who exercised both muscles showed significant result is the different with studies before. Because this study didn't target patient who had a lesion, couldn't compare effect of the conservative manner and exercise. However, this study provides the fact that the group who exercised both neck and chest muscle had more effect than the control group.