• Title/Summary/Keyword: manufacturing data

Search Result 4,219, Processing Time 0.035 seconds

Fabrication of removable partial denture on scleroderma patient using 3-dimensional intraoral scanner (전신성 피부경화증 환자에서의 3차원 구강스캐너를 이용한 가철성 국소의치 제작 증례)

  • Kim, Ung-Gyu;Han, Jung-Suk;Yoon, Hyung-In;Yeo, In-Sung Luke
    • The Journal of Korean Academy of Prosthodontics
    • /
    • v.59 no.1
    • /
    • pp.116-125
    • /
    • 2021
  • A three-dimensional (3D) intraoral scanner, which is one of the major developments in digital dentistry, is widely used in fixed prosthodontics. The application of intraoral scanner is now increasing in removable prosthodontics. Sclerotic change induced by scleroderma causes the limitation of mouth opening and multiple loss of the teeth. Conventional prosthodontic procedures are challenging for patients with this disease. This study showed a case of digital approach to the removable prosthodontic treatment of a patient who had the scleroderma and the consequent microstomia. At the provisional stage, the optical impression of patient's oral structures was digitally obtained. Using a 3D printer, the provisional dentures were fabricated. After extraction of hopeless tooth, the definitive digital impression was taken and the metal frameworks were fabricated, based on the data acquired from the impression. The definitive removable partial dentures were completed and delivered to the patient, who was satisfied with the prostheses.

A Study on AI Industrial Ecosystem to Foster Artificial Intelligence Industry in Busan (부산지역 인공지능 산업 육성을 위한 AI 산업생태계 연구)

  • Bae, Soohyun;Kim, Sungshin;Jeong, Seok Chan
    • The Journal of Bigdata
    • /
    • v.5 no.2
    • /
    • pp.121-133
    • /
    • 2020
  • This study was carried out to set the direction of the new industry policy of Busan city by analyzing the changing trend of artificial intelligence technology that has recently developed rapidly and predicting the direction of future development. The company wanted to draw up support measures to utilize artificial intelligence technology, which has been rapidly emerging in the market, in the region's specialized industry. Artificial intelligence is a key keyword in the fourth industrial revolution and artificial intelligence-based data utilization technology can be used in various fields from manufacturing processes to services, and is entering an era of super-fusion in which barriers between technologies and industries will be broken down. In this study, the direction of promotion for fostering Busan as an artificial intelligence city was derived based on the comparison and analysis of artificial intelligence-related ecosystems among major local governments. In this study, we wanted to present a plan to create an artificial intelligence industrial ecosystem that can be called a key policy to foster Busan as an 'AI City'. Busan's plan to foster the AI industry ecosystem is aimed at establishing a policy direction to ultimately nurture the artificial intelligence industry as Busan's future food source.

Estimating the Demand Function for Industrial Natural Gas Use in Korea : A Cross-sectional Analysis (횡단면 분석을 활용한 한국 산업용 도시가스 수요함수 추정)

  • Lee, Bok-Hee;Lee, Hye-Jeong;Yoo, Seung-Hoon;Huh, Sung-Yoon
    • Journal of the Korean Institute of Gas
    • /
    • v.24 no.6
    • /
    • pp.34-46
    • /
    • 2020
  • In order to supply stable natural gas in the future, it is necessary to forecast the demand in advance and secure the quantity of supply. In this paper, we propose a method of estimating the demand function of industrial natural gas, which is the core of the increase of domestic natural gas demand in the future. The cross-sectional data of 304 domestic industries were used to estimate the demand function of the industrial natural gas, and the effect of industry specific characteristics such as capital investment, manufacturing cost. Finally, the least absolute deviation estimation method which is robust to outliers and does not assume the homogeneity of the error term and the normality, And the results were derived. In addition, the economic value of industrial city gas was estimated using the price elasticity of industrial city gas. Therefore, it can be seen that the continuous expansion and supply of city gas to the industrial sector is beneficial at the national level, and the government needs to promote expansion through the industrial city gas support policy.

The Longitudinal study on the Impact of Innovative Organizational Culture on Organizational Commitment (제조업 기업의 혁신적 조직문화가 조직몰입에 미치는 영향에 관한 종단 분석)

  • Song, Seung-Ik;Kim, Jeong-Hwan;Mo, Youngmin
    • Journal of the Korea Convergence Society
    • /
    • v.13 no.4
    • /
    • pp.383-396
    • /
    • 2022
  • The purpose of this study was to investigate the effect of worker's innovative organizational culture on organizational commitment in companies. The research data were used from the fourth year (2011) to the seventh year (2017) of the HCCP (Human Capital Corporate Panel), and 207 companies were subject to the final analysis except for missing values. To statistically validate the research model, we utilize the SPSS 26.0 and AMOS 21.0 programs to perform Latent Growth Modeling analysis. The results of the study are as follows. First, both the innovative organizational culture and organizational commitment of companies have been shown to continue to decline over time. Second, the initial value of innovative organizational culture has been shown to have a significant impact on the initial value of organizational commitment. On the other hand, the initial value of innovative organizational culture has no significant effect on the rate of change in organizational commitment. Third, the rate of change in innovative organizational culture has been shown to have a significant impact on the rate of change in organizational commitment. Based on these findings, we present practical measures to enhance the importance of innovative organizational culture along with its implications.

High Performance Work System for Entertainment Business : An Analytic Network Process Approach (엔터테인먼트업의 고성과작업조직 : ANP 기법을 중심으로)

  • Kwon, Jung-Eon
    • Journal of Korea Entertainment Industry Association
    • /
    • v.15 no.2
    • /
    • pp.1-10
    • /
    • 2021
  • The purpose of this study is to explore a significant HPWS(High Performance Work System) model for the entertainment industry. HPWS is one of the most studied themes for managing human resources as well as a set of practices to elicit employees' commitment to an organization. Recently, the entertainment industry is growing rapidly, but it is difficult for entertainment firms to retain a stable profit unlike the manufacturing industry. This is because the performance of entertainment business tends to rely heavily on the capabilities and synergy of human resources. In order to suggest a systematic way to manage these, this research identified an effective HPWS model for entertainment business and provides a competitive advantage to entertainment firms, using ANP(Analytic Network Process). ANP is a multicriteria decision making technique that allows dependences and feedbacks among decision elements in the hierarchical or network structures in a holistic manner. The pairwise comparison data that prioritized the criteria of HPWS was collected from 28 team leaders in entertainment firms. According to our results, the most critical factor for HPWS in entertainment business is "employee involvement in decision-making." The sub-factors such as "open communication," "distributive decision-making," and "performance-driven reward" have a greater effect. These findings could provide implications for entertainment firms to determine which practices should be taken into account to accomplish HPWS.

Posterior rehabilitation considering mandibular movement with digital facebow transfer and virtual articulator: A case report (디지털 안궁이전과 가상교합기를 이용하여 하악의 운동을 고려한 구치부 수복 증례)

  • Kim, Min-Beom;Kwon, Ho-Beom;Lim, Young-Jun;Kim, Myung-Joo
    • The Journal of Korean Academy of Prosthodontics
    • /
    • v.60 no.4
    • /
    • pp.431-441
    • /
    • 2022
  • The digital facebow device records the trajectory of the mandibular movement where it is then reflected on the computer-aided design software, leading to an improvement on treatment outcomes of prosthetic restorations. In this clinical case, using a digital technology, an implant placement and prosthetic restoration were done in a patient who has lost maxillary and mandibular molars. Following an intraoral scan, a surgical stent for implant surgery was fabricated based on digital diagnostic wax-up, and implants were installed. After six months of sufficient osseointegration, customized abutments and the first temporary prostheses were delivered. Then two months later, at an abutment level, an intraoral scan and digital facebow transfer device were used to mount the intraoral scan data on a virtual articulator, and record the mandibular movements. Once the second temporary prostheses were fabricated and delivered on a basis of the mandibular movement, the definitive zirconia prostheses were designed and delivered based on a stabilized occlusion that was duplicated via double scan technique.

Application of deep learning technique for battery lead tab welding error detection (배터리 리드탭 압흔 오류 검출의 딥러닝 기법 적용)

  • Kim, YunHo;Kim, ByeongMan
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.27 no.2
    • /
    • pp.71-82
    • /
    • 2022
  • In order to replace the sampling tensile test of products produced in the tab welding process, which is one of the automotive battery manufacturing processes, vision inspectors are currently being developed and used. However, the vision inspection has the problem of inspection position error and the cost of improving it. In order to solve these problems, there are recent cases of applying deep learning technology. As one such case, this paper tries to examine the usefulness of applying Faster R-CNN, one of the deep learning technologies, to existing product inspection. The images acquired through the existing vision inspection machine are used as training data and trained using the Faster R-CNN ResNet101 V1 1024x1024 model. The results of the conventional vision test and Faster R-CNN test are compared and analyzed based on the test standards of 0% non-detection and 10% over-detection. The non-detection rate is 34.5% in the conventional vision test and 0% in the Faster R-CNN test. The over-detection rate is 100% in the conventional vision test and 6.9% in Faster R-CNN. From these results, it is confirmed that deep learning technology is very useful for detecting welding error of lead tabs in automobile batteries.

Development of High-Sensitivity and Entry-Level Radiation Measuring Sensor Module (고감도 보급형 방사선 측정센서 모듈 개발)

  • Oh, Seung-Jin;Lee, Joo-Hyun;Lee, Seung-Ho
    • Journal of IKEEE
    • /
    • v.26 no.3
    • /
    • pp.510-514
    • /
    • 2022
  • In this paper, we propose the development of high-sensitivity low-end radiation measuring sensor module. The proposed measurement sensor module is a scintillator + photomultiplier(SiPM) sensor optimization structure design, amplification and filter and control circuit design for sensor driver, control circuit design including short-distance communication, sensor mechanism design and manufacturing, and GUI development applied to prototypes consists of, etc. The scintillator + photomultiplier(SiPM) sensor optimization structure design is designed by checking the characteristics of the scintillator and the photomultiplier (SiPM) for the sensor structure design. Amplification, filter and control circuit design for sensor driver is designed to process fine scintillation signal generated by radiation with a scintillator using SiPM. Control circuit design including short-distance communication is designed to enable data transmission through MCU design to support short-range wireless communication function and wired communication support. The sensor mechanism design and manufacture is designed so that the glare generated by wrapping a reflective paper (mirroring) on the outside of the plastic scintillator is reflected to increase the efficiency in order to transmit the fine scintillation signal generated from the plastic scintillator to the photomultiplier(SiPM). The GUI development applied to the prototype expresses the date and time at the top according to each screen and allows the measurement unit and time, seconds, alarm level, communication status, battery capacity, etc. to be expressed. In order to evaluate the performance of the proposed system, the results of experiments conducted by an authorized testing institute showed that the radiation dose measurement range was 30 𝜇Sv/h ~ 10 mSv/h, so the results are the same as the highest level among products sold commercially at domestic and foreign. In addition, it was confirmed that the measurement uncertainty of ±7.4% was measured, and normal operation was performed under the international standard ±15%.

A Study on the Characteristics of Self-Employment and Activation Methods: Young People in Seoul and Gyeonggi Province (청년자기고용(self-employment) 특성과 활성화 방안 연구: 서울 및 경기도를 중심으로)

  • Choi, Ki-Sung;Kim, Youn-Joong
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.9
    • /
    • pp.217-233
    • /
    • 2022
  • This study was conducted with the purpose of deriving a revitalization plan by analyzing the factors influencing the characteristics and perception of self-employment and self-employment selection of young people. To this end, discussions on self-employment and the size of workers were reviewed, and the characteristics, determinants, and difficulties of self-employment youth were analyzed based on data from a survey of youth in Seoul and Gyeonggi-do. The support plan proposed through the analysis should first strengthen the program so that the government, local governments, and schools can all gain experience in the practice of developing ideas, producing, and selling based on aptitude and competency to solve youth employment problems. Next, compared to support for technology-based start-ups, there are no suitable programs in the fields of knowledge, manufacturing, and distribution, and there is almost no support for freelancers in which the majority of young people are engaged. Therefore, it is necessary to diversify support projects so that the diversity of young people can be expressed in self-employment. Finally, it was found that entrepreneurship had an important influence on self-employment. However, Korean teenagers do not know what entrepreneurship is and have no experience in education, so they should focus on cultivating entrepreneurship in the regular curriculum and establishing a cultural foundation to foster young leaders with creative ideas and execution.

A Study on Digital Color Reproduction for Recording Color Appearance of Cultural Heritage (문화유산의 현색(顯色) 기록화를 위한 디지털 색재현 연구)

  • Song, Hyeong Rok;Jo, Young Hoon
    • Journal of Conservation Science
    • /
    • v.38 no.2
    • /
    • pp.154-165
    • /
    • 2022
  • The color appearance of cultural heritage are essential factors for manufacturing technique interpretation, conservation treatment usage, and condition monitoring. Therefore, this study systematically established color reproduction procedures based on the digital color management system for the portrait of Gwon Eungsu. Moreover, various application strategies for recording and conserving the cultural heritage were proposed. Overall color reproduction processes were conducted in the following order: photography condition setting, standard color measurements, digital photography, color correction, and color space creation. Therefore, compared with the color appearance, the digital image applied to a camera maker profile indicated an average color difference of 𝜟10.1. However, the digital reproduction result based on the color management system exhibits an average color difference of 𝜟1.1, which is close to the color appearance. This means that although digital photography conditions are optimized, recording the color appearance is difficult when relying on the correction algorithm developed by the camera maker. Therefore, the digital color reproduction of cultural heritage is required through color correction and color space creation based on the raw digital image, which is a crucial process for documenting the color appearance. Additionally, the recording of color appearance through digital color reproduction is important for condition evaluation, conservation treatment, and restoration of cultural heritage. Furthermore, standard data of imaging analysis are available for discoloration monitoring.