• 대한치과보철학회지
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• 제57권3호
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• pp.312-320
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• 2019

디지털 방식을 이용한 치과 임플란트 진료에서 가장 주목받는 분야 중 하나가 디지털 소프트웨어와 컴퓨터 단층촬영을 이용하여 수술용 스텐트를 제작, 임플란트를 식립하는 분야이다. 컴퓨터를 이용한 디지털 임플란트 치료계획 시스템과 이를 이용한 수술용 가이드는 예지성과 심미성, 기능성을 갖춘 임플란트의 식립과 수복을 가능하게 한다. 특히 이러한 가이드 수술은 임플란트 수복물의 형태와 기능을 고려한 임플란트의 식립 시 더욱 유리하다. 최근 여러 제조사에서 보철물 제작을 위해 치과용 스캔부터 제작방법까지 다양한 디지털 방식의 제작과정을 제시하고 있다. 이러한 방법들은 정확하고 예지성 있는 예후를 위해 여러 연구자들에 의해 연구되어지고 있으며, 점차 발전하고 있다. 이번 증례는 완전무치악의 여성 환자에서 임플란트 고정성 보철물을 이용한 수복증례이다. 하악은 all-on-four 방식을 적용하여 4개의 임플란트를 식립하였으며, 상악은 이에 기초하여 6개의 임플란트를 식립하였다. 최종보철물에 기초한 임플란트의 식립을 위해 임플란트 수술용 스텐트를 이용하였으며, 환자는 치료 결과에 만족하였으며, 5년 추적관찰 결과, 임플란트와 보철물 모두 안정적으로 유지되고 있다.

• 해양환경안전학회지
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• 제28권2호
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• pp.307-313
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• 2022

지구 온난화와 기후변화에 대응하기 위해 국제적으로 재생 에너지의 개발이 확대됨에 따라 풍력발전의 비중도 점차 늘어가고 있다. 태양광발전에 비해 24시간 생산이 가능하지만 대형 풍력발전기를 대규모로 설치하기 때문에 주변의 레이더나 통신 장비들의 동작에 간섭을 일으키는 지에 대한 분석이 필요하다. 본 연구에서는 해상풍력 발전단지 외해를 항해하는 선박이 VHF 대역으로 조난 통신을 송신할 경우, 육지의 기지국에서 신호를 수신할 수 있는지를 분석하였다. 대상지역 주변의 수치지형도, 풍력발전기 캐드 모델, 풍력발전단지 배치도를 바탕으로 주변 해역 및 발전단지를 수치해석이 가능하도록 모델링하였다. 광범위한 지역에 대한 전파 분석에 적절한 고주파 해석기법 중 PO, SBR 기법을 적용한 전용 프로그램으로 전자파 간섭 여부를 분석하였다. 해상풍력 발전단지 외곽에서 송신한 VHF 대역 전자파에 대해 육상 기지국에서는 약간의 수신전력 저하는 있지만 기준치 이상의 전력을 수신하였다. 선박과 육상 기지국 사이의 가시선을 완전히 가리는 경우에 수신 전력의 저하가 발생하였으나, VHF대역이 파장이 길어 회절이나 반사 등의 효과로 육상 기지국까지 충분한 전파가 도달하는 것으로 판단된다.

• 한국안광학회지
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• 제18권3호
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• pp.231-239
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• 2013

목적: 안경테의 형판제작을 위한 자동취형기 개발을 위해 설계하고 제작하고자 한다. 방법: 자동취형기의 주요 설계도를 캐드로 그려서 제작에 필요한 정보를 얻었다. 이 데이터를 기본으로 자동취형기 개발을 위해 시제품을 제작하였다. 결과: 자동취형기는 형판가공부, 조작판넬, 안경테장착부, 탐침자부로 구성되었다. 형판가공부는 절삭부, 플라스틱 형판 고정부, 형판 이탈핀 그리고 형판 절삭시 소음을 최소화시키기 위한 방음덮개로 구성하였다. 조작판넬은 메인 P.C.B.와 서로 연결 및 작동되게 설계하였다. 탐침자가 $1.8^{\circ}$ 각도로 안경테 삽입부를 스캐닝해서 얻은 좌표값에 대한 엔코딩한 값을 통해 삽입부의 정보를 얻게 되었다. 스캐닝이 시작된 후에는 오른쪽 방향과 왼쪽방향으로 작동된다. 통신연결부는 RS232C 전송방식으로 자동취형기에서 외부 장치로 안경테 렌즈삽입부의 정보를 전송하여 형판 없이도 안경렌즈를 가공할 수 있었다. 형판의 절삭치수의 오차율을 평가하기 위해 일원배치분산분석한 결과 F값과 P값은 0.510과 0.601로 나와서, 자동 취형기에서 가공된 형판의 ${\Phi}22mm$, ${\Phi}55mm$ 그리고 ${\Phi}62mm$ 절삭 치수의 오차율은 크기에 따라 차이가 없는 것으로 나타났다. 또한, 개발된 자동취형기의 평균 절삭 오차값은 0.0274 mm으로 나타났다. 결론: 자동취형기를 설계 및 제작하여 시제품 제작에 성공하였다. 자동취형기의 역할은 안경테를 측정하여 안경테에 맞는 정확한 렌즈삽입부의 크기를 얻는 것이다. 자동취형기로부터 얻어진 정보값은 외부장치로 보내져 형판 없이 안경렌즈를 연삭가공 한다. 또한, 시제품은 안경테에 맞는 형판을 만들 수 있다. 연구개발 된 시제품을 통해 안경사들이 편리하게 형판제작이 가능하고, 과거 보다 안경 조제가공이 보다 효율적이게 작업이 이루어질 수 있을 것으로 예상된다.

• 한국의상디자인학회지
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• 제4권1호
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• pp.111-130
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• 2002

This study performed a structural questionnaire survey and non-structural interview of the ladies apparel manufacturers in Daegu on the qualification for the employees, skills required for job performance, job training, automatic manufacturing systems, and the use of computer. The results are as follows. 1. Almost all of the apparel manufacturing systems were Pair System, except one Line System in one company. In terms of outsourcing, most of the manufacturers answered “yes,” and in 1998 the outsourcing process was sewing, but in the year 2002, outsourcing has been increased :12 manufacturers(57.1%) outsourcing most of the processes except patterning, 3(14.3%) outsourcing the finish of sewing. 2. The workforce of 1998 and that of 2002 shows a significant difference(P＜. 01) between office work and management. The number of office workers has decreased from 15 down to 5.3 people. On the other hand, that of the management has slightly increased from 5.3 to 9.2 people. The number of the manual workers has decreased from 32.2 to 28.7 people. And the number of tailoring and patterning workers has slightly decreased, but the number has increased in sewing from 3.7 to 7.0 people. 3. The wage of an employee shows a significant difference between a sewing assistant(P＜. 01) and a production manager(P＜. 05), and the wage of a sewing assistant, in particular, has slightly raised from ￦905,000 to ￦1,054,000. 4. The qualifications required of employees are “cooperative human relations”(30.8％), “diligence,” and “ability for job analysis”(26.9％), and “positive thinking” (15.4％) in 1998, and “ability for job analysis”(38.5％), “cooperative human relations”(34.6％), and “positive thinking” (15.4％) in 2002. The areas for job openings are significantly different(P＜. 01) depending on the year. Job openings in the design section has increased from 1(3.8％) to 16 manufacturers (61.5％), and decreased in tailoring section from 22(84.6％) to 2 manufacturers(7.7％). Job openings in the sewing section have increased form 2(7.7％) to 6 manufacturers (23.1％). In terms of sex of the employees, there is a significant difference(P＜. 001). 19 companies(73.1％) wanted “male” in 1998, but 8 companies(30.8％) answered that they want “female” and 17 companies(65.4％) answered that “it does not matter.” About the educational background, there was a significant difference between the years. The number of the companies that want junior college graduates with an associate degree has increased(15 companies(57.7％). There was a significant difference(P＜. 05) in major of the employee. The number of the companies that want fashion majors has increased from 5(19.2％) to 20(76.9％). 5. In terms of job skills required, there was no significant difference. In 1998, “production skills” (46.2％) and “ability for job analysis” (26.9％) were required, and in 2002, “ability for job analysis” (42.3％) and “emotional skills” (26.9％). 6. In regard to training for job skills, “fashion professional training” has slightly decreased from 65.4％ in 1998 to 46.2％ in 2002, however, “training for job analysis” has slightly increased from 30.8％ in 1998 to 46.2％ in 2002, which indicates the fact that “fashion professional training” and “ability for job analysis” have been emphasized. 7. The number of the manufacturers purchased apparel CAD has increased from 1(3.8％) to 3(11.5％), and the number of the manufacturers that have no plan for purchase has increased from 16(61.5％) in 1998 to 15(57.7％), still taking up a big proportion. 8. About the use of computers in manufacturing, there is a significant difference(P＜. 05). The number of the manufacturers using computer has increased from 5(19.2％) to 15(57.7％) and that of the manufacturers which do not use computers has decreased from 17(57.7％) to 8(30.8％). 9. In the interviews with the owners of the manufacturers, they pointed that schools should give more weight on practical training courses, the invitation of experts in the specific field, complex production systems, training courses for sewing, field trip courses, and furthering specialty education, personality and vocational education.

• Asia pacific journal of information systems
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• 제23권3호
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.