• Journal of Acupuncture Research
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• v.32 no.3
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• pp.95-105
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• 2015

Objectives : The purpose of this study is to review the characteristics of patients who visited the emergency room of a Korean medical hospital with musculoskeletal disorders during the last 5 years and to provide a potential basis for future studies and emergency medical practice. Methods : Patient visit records between May 1st, 2010 and February 28th, 2015 were reviewed and patients with musculoskeletal disorders were included in a retrospective analysis. Results : A total of 5,218 patient visit records were initially reviewed and 1,485 patients (28.46 %) were included in the analysis. S code group was the most frequently diagnosed coding group of Korean Standard Classification of Diseases. The male to female ratio was 1.05:1 and patients in their thirties represented the highest age group. When classified by time of visit, the distribution of patients was similar from 10:00 to 22:59. The most frequently visited day and month were Sunday and September. 879 patients (59.19 %) visited the emergency room within 24 hours from onset of symptoms. The most common symptom site was the low back (45.59 %), followed by ankle (13.94 %) and neck (13.80 %). The most frequently used treatment method was acupuncture (92.32 %), followed by infrared (45.45 %), TENS (30.03 %) and herbal medication (29.02 %). The follow-up and admission rates were 30.24 % and 13.00 % respectively. 343 patients (23.10 %) received Western medical treatment within a day before visiting the emergency room of the Korean medical hospital. Conclusions : This analysis provides the latest information on the characteristics of patients who visited the emergency room of a Korean medical hospital with musculoskeletal disorders. The results can provide the basis for further studies and for other attempts to improve the clinical setting of the emergency room.

• The Korean Journal of Mycology
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• v.26 no.4 s.87
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• pp.466-477
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• 1998

Twenty-two Phellinus strains were characterized using colony morphologies and polymerase chain reaction (PCR) to divide into Phellinus linteus. There were some differences in mycelial growth and colony shapes among the strains when they were grown on various media such as PDA, MCM, MEA and YM. Phellinus linteus was slowly growing, formed golden-yellow colony, and produced blue pigment on PDA media. When the regions of internal transcribed spacer (ITS) were amplified from ribosomal RNA (rRNA) coding genes of P. igniarius and P. linteus strains by means of PCR, two types of band (700 bp and 800 bp) were appeared, respectively. For the amplified intergenic region I (IGRI), P. igniarius strains showed a different band among 500, 600, 700 and 800 bp according to the strains, whereas P. linteus strains did one specific band of 700 bp. By polymorphism analysis after digesting the amplified products with 6 different restriction enzymes, a band specific to P. linteus was generated when the products for ITS region were digested with HaeIII, suggesting that the enzyme digestion could provide effective method to distinguish between P. igniarius and P. linteus. And also, the analysis of genetic relationship showed that the genetic similarities were 89% and 95% in P. igniarius and P. linteus strains, respectively. Random amplification polymorphic DNA (RAPD) analysis using multiple primer sets and arbitrarily primed PCR (AP-PCR) with ITS3 primer could also result in a reproducible way to identify P. linteus strains.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.562-567
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• 2009

As a key mechanism of the human emotion interaction, Facial Expression is a powerful tools in HRI(Human Robot Interface) such as Human Computer Interface. By using a facial expression, we can bring out various reaction correspond to emotional state of user in HCI(Human Computer Interaction). Also it can infer that suitable services to supply user from service agents such as intelligent robot. In this article, We addresses the issue of expressive face modeling using an advanced active appearance model for facial emotion recognition. We consider the six universal emotional categories that are defined by Ekman. In human face, emotions are most widely represented with eyes and mouth expression. If we want to recognize the human's emotion from this facial image, we need to extract feature points such as Action Unit(AU) of Ekman. Active Appearance Model (AAM) is one of the commonly used methods for facial feature extraction and it can be applied to construct AU. Regarding the traditional AAM depends on the setting of the initial parameters of the model and this paper introduces a facial emotion recognizing method based on which is combined Advanced AAM with Bayesian Network. Firstly, we obtain the reconstructive parameters of the new gray-scale image by sample-based learning and use them to reconstruct the shape and texture of the new image and calculate the initial parameters of the AAM by the reconstructed facial model. Then reduce the distance error between the model and the target contour by adjusting the parameters of the model. Finally get the model which is matched with the facial feature outline after several iterations and use them to recognize the facial emotion by using Bayesian Network.

• Journal of Korean society of Dental Hygiene
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• v.14 no.6
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• pp.903-913
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• 2014

Objectives: The purpose of the study was to investigate the content analysis of daily tooth cleaning service records by caregivers in a long-term care facility. Methods: The data were analyzed by qualitative research based on content analysis of the daily records of the processes and results of daily tooth cleaning service. Twenty caregivers provided tooth, gum and denture cleaning service after breakfast, lunch, and dinner to 48 elderly residents. The study lasted about two weeks(from August 4 to August 20, 2014). The researcher reconstructed the language by repeatedly reviewing the caregivers statements in the records. The content categories were derived from the records through a reiterative manual comparative analysis. Using constant comparison method, reconstructed meanings were incorporated into various meanings and reanalyzed by final categories called as analytic coding. In order to validate the reliability, 6 times of discussion made the common meanings through a master's degree student and a dental hygiene professor. Results: The caregivers identified lack of understanding and ability to recognize the functional physical and mental changes in the elderly. The elderly had difficulty in recognizing silent communication and daily tooth cleaning. The caregivers were so strenuous in taking care of the daily tooth cleaning service for the elderly. At last, they gave up the daily tooth cleaning service and took on it to the guardians. They found that there was no social supporting network for oral health of the elderly residents. Conclusions: Caregivers had insufficient understanding of the functional physical and mental changes in the elderly residents, and they had difficulty providing daily tooth cleaning service to the elderly due to poor skill and abilities.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.3
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• pp.19-25
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• 2013

Recently, more accurate database information of facilities is being required, with the increase in importance of urban road facility management. Therefore, this study proposed how to automatically detect particular traffic signs necessary for efficient construction of road facility DB. For this study, central locations of facilities were searched, after recognition and automatic detection of particular traffic signs through an image. Then, coordinate values of traffic signs calculated in the study were compared with real coordinate values, in order to evaluate the accuracy of traffic sign locations which were finally detected. Computer vision technology was used in recognizing and detecting traffic signs through OPEN CV-based coding, and photogrammetry was used in calculating accurate locations of detected traffic signs. For the experiment, circular road signal(No Parking) and triangular road signal(Crosswalk) were chosen out of various kinds of road signals. The research result showed that the circular road signal had a nearly 50cm error value, and the triangular road signal had a nearly 60cm error value, when comparing the calculated coordinates with the real coordinates. Though this result is not satisfactory, it is considered that there would be no problem to find locations of traffic signs.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2006.11a
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• pp.55-58
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• 2006

차세대 방송서비스 개발의 일환으로 관심을 모으고 있는 다시점 비디오 부호화(multi-view video coding, MVC) 방식은 인접한 여러 대의 카메라로 동시에 획득한 영상을 효과적으로 압축하는데 그 목적이 있다. 이때, 중간시전 영상을 생성하여 부호화하는 과정의 참조영상으로 이용할 수 있으며, 이를 위해서는 다시점 비디오 특성에 맞는 영상보간 방법이 필요하다. 기존에 제안되었던 영상보간법은 변위의 검색범위를 초기에 설정하여 블록정합을 이용하여 화소 단위로 변위를 측정하기 때문에 카메라 사이의 거리가 크거나 객체의 움직임이 커서 변위의 변동이 심한 영상에서는 안정적인 화질의 영상을 얻기 어렵다. 또한, 고정된 크기의 블록을 이용하여 전체 변위를 측정하므로 객체의 변위차가 큰 영역에서 변위 오류가 많이 발생한다. 본 논문에서는 이와 같은 문제를 해결하여 보다 개선된 화질의 중간시점 영상을 얻기 위한 새로운 영상보간법을 제안한다. 영역분할을 이용한 초기의 변위측정 과정에서, 처음부터 최대 변위의 범위를 설정하는 대신에 블록 단위로 대략적인 변위륵 측정한 후에, 가변 블록을 이용하여 보다 세밀한 변위를 측정한다. 이 방법은 변위차가 큰 객체의 경계 부분에서 보다 정확하게 변위를 측정 할 수 있으므로, 화소 단위로 변위를 측정할 때 이전에 추한 변위 정보를 바탕으로 각 화소별로 검색 범위를 설정한다. 적응적으로 설정된 검색 범위를 이용하여 화소 단위의 변위를 측정하면 보다 개선된 변위를 얻을 수 있다. 추가적으로, 변위측정 과정에서 발생하는 변위의 오류를 최대한 줄이기 위해 각 단계별로 미디언 필터를 이용하여 변위 오류를 수정하였다. 본 논문에서 제안한 방법으로 실험한 결과 기존의 영상보간 방법보다 화질이 약 $1{\sim}4dB$ 정도 개선되었다.필, 투명도 등을 위성원격탐사 자료와 GIS를 이용하여 공간분석을 실시하고, 공간분포도를 작성함으로써 대상해역의 해양환경을 파악하였다. 본 연구결과, 분석된 위성자료가 현장조사에 의한 검증이 이루어지지 않을 경우, 영상자료분석을 통한 표층수온 추출은 대기 중의 수증기와 에어로졸에 의한 계산치의 오차가 반영되기 때문에 실측치 보다 낮게 평가 될 수 있으므로, 반드시 이에 대한 검증이 필요함을 알 수 있었다. 현지관측에 비해 막대한 비용과 시간을 절약할 수 있는 위성영상해석방법을 이용한 방법은 해양수질파악이 가능할 것으로 판단되며, GIS를 이용하여 다양하고 복잡한 자료를 데이터베이스화함으로써 가시화하고, 이를 기초로 공간분석을 실시함으로써 환경요소별 공간분포에 대한 파악을 통해 수치모형실험을 이용한 각종 환경영향의 평가 및 예측을 위한 기초자료로 이용이 가능할 것으로 사료된다.염총량관리 기본계획 시 구축된 모형 매개변수를 바탕으로 분석을 수행하였다. 일차오차분석을 이용하여 수리매개변수와 수질매개변수의 수질항목별 상대적 기여도를 파악해 본 결과, 수리매개변수는 DO, BOD, 유기질소, 유기인 모든 항목에 일정 정도의 상대적 기여도를 가지고 있는 것을 알 수 있었다. 이로부터 수질 모형의 적용 시 수리 매개변수 또한 수질 매개변수의 추정 시와 같이 보다 세심한 주의를 기울여 추정할 필요가 있을 것으로 판단된다.변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에 있어서 시장수익률을 평균적으로 초과할 수 있는 거래전략은

• Journal of Science Education
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• v.41 no.1
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• pp.36-59
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• 2017

The purpose of this study was to develop a theory appropriate to the context by identifying the career motivation formation process from the perspective of academic high school students using a grounded theory approach. In this study, participants were selected among non probability sampling was used for sampling by artificially reputational case selection methods. Forty two highschool students(21 male, 21 female) were participated in this study. Research data were collected mainly collected using in-depth interview data were analyzed by applying the grounded theory method of Strauss and Corbin (1998). According to the results, 319 concepts and 56 sub-categories, and 19 categories were derived n the open coding process. Academic high school students' formation of STEM career motivation were influenced by contextual conditions of "STEM-related career think that the instruments' causal conditions and 'STEM education experience in inside and outside of school' named 'STEM career understanding and self-understanding' using the strategy of being influenced in interventional conditions of social support and obstacle 'for the central phenomenon of "STEM efforts to achieve career goals, it appeared as a result of" satisfaction for STEM careers. And it had a 5-step process over time that the formation process of STEM career motivation. This is expected to provide homes, schools, communities, and contribute to have a new insight on the education of the country, given the direction of career education and counseling intervention and the basic data used to develop and apply STEM career education.

• Asian-Australasian Journal of Animal Sciences
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• v.30 no.7
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• pp.957-966
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• 2017

Objective: To understand the dynamic structure, function, and influence on nutrient metabolism in hosts, it was crucial to assess the genetic potential of gut microbial community in yaks of different ages. Methods: The denaturing gradient gel electrophoresis (DGGE) profiles and Illumina-based metagenomic sequencing on colon contents of 15 semi-domestic yaks were investigated. Unweighted pairwise grouping method with mathematical averages (UPGMA) clustering and principal component analysis (PCA) were used to analyze the DGGE fingerprint. The Illumina sequences were assembled, predicted to genes and functionally annotated, and then classified by querying protein sequences of the genes against the Kyoto encyclopedia of genes and genomes (KEGG) database. Results: Metagenomic sequencing showed that more than 85% of ribosomal RNA (rRNA) gene sequences belonged to the phylum Firmicutes and Bacteroidetes, indicating that the family Ruminococcaceae (46.5%), Rikenellaceae (11.3%), Lachnospiraceae (10.0%), and Bacteroidaceae (6.3%) were dominant gut microbes. Over 50% of non-rRNA gene sequences represented the metabolic pathways of amino acids (14.4%), proteins (12.3%), sugars (11.9%), nucleotides (6.8%), lipids (1.7%), xenobiotics (1.4%), coenzymes, and vitamins (3.6%). Gene functional classification showed that most of enzyme-coding genes were related to cellulose digestion and amino acids metabolic pathways. Conclusion: Yaks' age had a substantial effect on gut microbial composition. Comparative metagenomics of gut microbiota in 0.5-, 1.5-, and 2.5-year-old yaks revealed that the abundance of the class Clostridia, Bacteroidia, and Lentisphaeria, as well as the phylum Firmicutes, Bacteroidetes, Lentisphaerae, Tenericutes, and Cyanobacteria, varied more greatly during yaks' growth, especially in young animals (0.5 and 1.5 years old). Gut microbes, including Bacteroides, Clostridium, and Lentisphaeria, make a contribution to the energy metabolism and synthesis of amino acid, which are essential to the normal growth of yaks.

• Korean Journal of Optics and Photonics
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• v.17 no.3
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• pp.231-239
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• 2006

In recent years, a hierarchical security architecture has been widely studied because it can efficiently protect information by allowing an authorized user access to the level of information. However, the conventional hierarchical decryption methods require several decryption keys for the high level information. In this paper, we propose a hierarchical image encryption using random phase masks and Walsh code having orthogonal characteristics. To decrypt the hierarchical level images by only one decryption key, we combine Walsh code into the hierarchical level system. For encryption process, we first perform a Fourier transform for the multiplication results of the original image and the random phase mask, and then expand the transformed pattern to be the same size and shape of Walsh code. The expanded pattern is finally encrypted by multiplying with the Walsh code image and the binary phase mask. We generate several encryption images as the same encryption process. The reconstruction image is detected on a CCD plane by a despread process and Fourier transform for the multiplication result of encryption image and hierarchical decryption keys which are generated by Walsh code and binary random phase image. Computer simulations demonstrate that the proposed technique can decrypt hierarchical information by using only one level decryption key image and it has a good robustness to the data loss such as random cropping.

• Korean Journal of Microbiology
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• v.46 no.2
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• pp.134-139
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• 2010

Mycobacterium tuberculosis (Mtb) is one of the most successful pathogens to infect one third of world population. Th1-mediated immunity against Mtb infection is known as critical to express mycobacteriostatic function but it is not sufficient to resolve the infection. In this study, to verify the possibility Mtb itself change the gene expression to survive against host immune response, expression pattern of selected H37Rv genes, 16S rRNA, acr, fbpA, aceA, and ahpC, during the course of infection was measured with absolute quantitation method using real-time RT-PCR. The total number of transcripts of 16S rRNA increased during the course of infection, which was coincide with the increasing CFU. The total number of fbpA transcripts per CFU, which encode typical secreted Mtb antigen, Ag85A, increased for 10 days of infection before decreasing. The number of transcripts of acr per CFU, which encode heat shock protein, ${\alpha}$-crystallin, increased during the infection, and ahpC and aceA, they both are enzymes produced in oxidative stressful condition, increased for 20 days and then slightly decreased on day 30. These findings are one of survival strategy of pathogen evading host immune response lead to persistent infection inside host cells.