• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.910-912
• /
• 2014

최근 친환경과 헬스케어에 관심이 높아짐과 더불어 자전거 타는 것에도 관심이 높아지고 있다. 우리나라 정부에서도 거기에 발맞춰 자전거 전용도로를 전국에 설치하기고 했다. 처음 자전거를 배우기 시작해서 어느 정도 중심을 잡게 되면 보통 변속기를 사용하게 된다. 변속기를 사용하게 되면 승차 자들은 도로나 환경에 맞지 않게 미숙하게 변속을 하게 되며, 이에 따른 사용자의 조작에 사용하는 엄지 또는 검지의 손가락에 피로감이 높아지고 안전위험이 증가하게 되지만, 사용하는 개인들은 그것을 모르고 사용하는 경우가 많다. 본 연구에서는 자전거 사용을 활성화 하고 안전에 도움을 주고, 변속 조작에 사용하는 엄지 또는 검지 손가락 피로를 줄일 수 있는 디지털변속기를 개발하였다. 디지털변속기를 사용함으로 자전거 변속에 어려운 승차 자들을 위해 디지털 변속을 사용하므로 서 주행효율을 개선하고, 안전하게 자전거를 사용할 수 있을 것으로 사료된다. 승차 자가 속도 및 구배 정확하지 않는 변속에 의한 피로가 누적되어 하체에 무리가 많이 가게 되어서, 이로 인해 사고율도 높아 질수 있다. 기존 변속에 의한 문제점들을 해결하여 자전거의 운용을 효율성과 편의성을 개선하여, 안전 주행이 가능하게 하는 디지털 변속기를 개발 하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.113-115
• /
• 2022

치과 진료는 대부분 인간의 시각에 의존하여 진단과 진료가 이루어진다. 하지만 미세한 치아 손상의 경우 의사가 육안으로 확인하기 어려울 수 있으며, 의사의 실력 및 피로 누적에 의해 조기에 발견을 하지 못할 가능성이 높아진다. 만약 미세한 치아 손상을 조기에 발견하지 못할 경우 시간이 지남에 따라 손상 부위가 커지고, 이를 치료하기 위해 더 큰 비용과 고통이 따르기 때문에 치과에서의 조기 발견이 매우 중요하다. 한편, 인류는 디지털 헬스케어 기술을 개발하여 보다 정확한 진단을 할 수 있게 되었고, 의료 서비스를 효율적으로 제공할 수 있게 되었다. 이에 본 논문에서는 위의 문제를 해결하기 위해 디지털 헬스케어를 사용하여 빅데이터와 딥러닝을 활용한 지능형 전자 루페에 대해 탐구하였다.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.9
• /
• pp.155-166
• /
• 2021

Recently, digital health care technology is spreading and developing in various fields. Therefore, in this paper, we realized that the field to which digital healthcare technology is not applied is the field of optometry, and implemented a digital healthcare optometry system for precise lens manufacturing. A device called Phoroptor is used to manufacture the lens, and this device sets the lens by measuring the visual acuity of the person who requested the glasses. And when the person to be measured wears glasses, a device called a PD meter is used to align the pupil center and lens focus. However, there is a limit to the convenience of precise lens production and optometry due to the absence of a database and program that can accumulate and analyze the PD measurement error, inconvenience and error due to manual control of the Phoroptor, and optometric information. Therefore, in this paper, PD meter design for more accurate PD measurement, Phoroptor design and Phoroptor control application design for automatic Phoroptor control, and a database and analysis program that automatically set lenses using optometry information for each subject had been designed. Based on this, ultimately, a digital healthcare optometry system using an optometry database has been implemented.

• Journal of Digital Convergence
• /
• v.19 no.7
• /
• pp.419-426
• /
• 2021

With the development of the information and communication technology, the smart hospital has become a new trend in a healthcare industry. This study reviewed the concept, key technologies, applications, and future challenges of a smart hospital, and the user-centered strategies for designing a smart hospital. In smart hospitals, digitally enabled clinical staff will be able to produce better patient outcomes by delivering a more integrated patient-centered care with an efficient manner in connected facilities systems. However, to promote a successful patient-centered smart hospital environment in the future, various obstacles regarding cost, technology, security, and standards should be overcome. It is also necessary for patients and medical personnel to be involved as service users.

• 프린팅코리아
• /
• s.12
• /
• pp.84-87
• /
• 2003

1867년에 창립된 아그파는 벨기에의 모R)(Mortsel)에 본사를 두고, 전 세계 40개국에 120여 곳의 판매망을 구축하고 있으며 약 2만 여명의 직원들이 그래픽, 소비자영상, 헬스케어 및 산업영상 분야에서 아날로그와 디지털 영상 솔루션을 제공하고 있다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.05a
• /
• pp.544-546
• /
• 2020

의료 데이터를 이용하여 인공지능 기계학습 연구를 수행할 때 자주 마주하는 문제는 데이터 불균형, 데이터 부족 등이며 특히 정제된 충분한 데이터를 구하기 힘들다는 것이 큰 문제이다. 본 연구에서는 이를 해결하기 위해 GAN(Generative Adversarial Network) 기반 고해상도 의료 영상을 생성하는 프레임워크를 개발하고자 한다. 각 해상도 마다 Scale 의 Gradient 를 동시에 학습하여 빠르게 고해상도 이미지를 생성해낼 수 있도록 했다. 고해상도 이미지를 생성하는 Neural Network 를 고안하였으며, PGGAN, Style-GAN 과의 성능 비교를 통해 제안된 모델이 양질의 고해상도 의료영상 이미지를 더 빠르게 생성할 수 있음을 확인하였다. 이를 통해 인공지능 기계학습 연구에 있어서 의료 영상의 데이터 부족, 데이터 불균형 문제를 해결할 수 있는 Data augmentation 이나, Anomaly detection 등의 연구에 적용할 수 있다.

• Journal of Korean society of Dental Hygiene
• /
• v.21 no.3
• /
• pp.291-300
• /
• 2021

Objectives: This study aimed to develop human rights indicators through reliability and validity tests in order to measure the human rights situation of dental hygiene students who experience clinical practice at dental clincs. Methods: The basic framework of questions was constructed through literature review. Nine experts were tested for validity of the contents of the experts twice. The main survey was conducted on 121 students in the 3rd and 4th grade who were enrolled in the department of dental hygiene located in Seoul, Gyeonggi and Gangwon-do. Validity was tested through exploratory factor analysis, and reliability was tested through internal reliability coefficient and test-retest method. Results: The cronbach's α value was 0.734, and the Kappa coefficient was 0.584. The result of the reliability and validity test was composed of 11 questions and 3 factors. Conclusions: During the practice of a dental institution, the validity and reliability of the indicators that can grasp the human rights status of dental hygiene students were tested. It is expected that the indicators of this study will be provided an opportunity to understand the human rights situation of dental hygiene students and to improve problems such as human rights violations.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.44 no.4
• /
• pp.32-42
• /
• 2021

The printing process can have to print various colors with a limited capacity of printing facility such as ink containers that are needed cleaning to change color. In each container, cleaning time exists to assign corresponding inks, and it is considered as the setup cost required to reduce the increasing productivity. The existing manual method, which is based on the worker's experience or intuition, is difficult to respond to the diversification of color requirements, mathematical modeling and algorithms are suggested for efficient scheduling. In this study, we propose a new type of scheduling problem for the printing process. First, we suggest a mathematical model that optimizes the color assignment and scheduling. Although the suggested model guarantees global optimality, it needs a lot of computational time to solve. Thus, we decompose the original problem into sequencing orders and allocating ink problems. An approximate function is used to compute the job scheduling, and local search heuristic based on 2-opt algorithm is suggested for reducing computational time. In order to verify the effectiveness of our method, we compared the algorithms' performance. The results show that the suggested decomposition structure can find acceptable solutions within a reasonable time. Also, we present schematized results for field application.

• Journal of Korean society of Dental Hygiene
• /
• v.22 no.2
• /
• pp.133-142
• /
• 2022

Objectives: This study was conducted by clinical dentistry hygienists to develop knowledge measurement tools and evaluate knowledge necessary to cope with emergencies related to systemic diseases occurring in dentistry. Methods: Basic questions were developed on the six most frequently occurring diseases in the dental office: diabetes, syncope, respiratory disease, coronary artery disease, cerebrovascular disease, and epilepsy. Fifty-eight preliminary questions were composed in a survey format through expert validation. The survey was then conducted on 290 dental hygienists to verify the composition validity and reliability. Factor and reliability analyses were performed using the SPSS 23.0 program, and the correct answer rate for each question was calculated. Results: 49 items of a total of 13 factors were adopted as the final items for signs, symptoms, prevention and treatment of five diseases. The question with the highest percentage of correct answers for each question was "Slowly set up the unit chair when raising the patient"(97.9%) during the prevention of unconsciousness and question with the lowest correct answer rate was "soft substances such as cloth should be put in the mouth to prevent trauma while the seizure persists" (16.6%). Conclusions: A total of 49 questions have been developed as tools to measure the knowledge of dental hygienists' first aid related to systemic diseases and it is expected that related curriculum can be operated or evaluated by using them.

• Journal of Korean society of Dental Hygiene
• /
• v.22 no.4
• /
• pp.273-280
• /
• 2022

Objectives: This study aimed to investigate the perception of dental infection-control coordinator (DICC) among dental hygienist and determine whether there is a difference in perception depending on the type of work. Methods: Dental hygienists working at the dentistry were conveniently extracted and distributed to 351 patients, and the data of 320 patients were finally analyzed. The chi-square test was conducted to determine the difference in perception of the DICC according to the type of work, and the one-way ANOVA was performed to determine the difference in the perception of DICC tasks. A p-value of <0.05 was statistically significant. Results: General hospitals and university hospitals (100%), dental hospitals (95.8%), and dental clinics (86.6%) showed the highest awareness of the need for DICC. The dental clinics had the lowest level of awareness regarding the duties of the DICC, and dental hospitals and clinics were in different areas with different levels of awareness regarding infection control-related administrative support areas (3.98-4.21 and 3.79-4.12 of 5). Conclusions: Because of a difference in perception regarding the work of DICC according to the type of work, dental organizations should establish the tasks of DICC and develop an education program for a person in charge based on this.