• The Journal of the Acoustical Society of Korea
• /
• v.17 no.8
• /
• pp.34-40
• /
• 1998

본 논문에서는 일반 X-ray 필름을 사용하는 기존 아날로그 의료 영상 진단 체계의 문제점들을 해결하기 위해 연구 개발된 포괄적인 영상관리 전송 시스템(PACS)에서의 효율 적인 영상 전송과 저장을 위해 병원에서 매일 다량으로 발생하는 의료 영상들 중 CT와 MR영상을 대상으로 하여 새로운 무손실 영상 압축 기법인 CRAC 압축 알고리즘을 설계하 였다. CRAC 압축 알고리즘에서는 CT와 MR 영상의 파일구조를 분석하여 런랭스 코딩에 적합하도록 데이터를 재배열하는 전처리 작업을 설계하였으며, 이를 CT와 MR 영상에 최적 화 시킨 개선된 런랭스 알고리즘으로 1차 압축시켜 그 결과를 산술 부호화 알고리즘과 결합 함으로써 압축효율을 향상시켰다. 이러한 CRAC 압축 알고리즘은 무손실 압축 기법으로, 의 료 영상을 압축한 수 손실 없이 원 영상을 그대로 복원할 수 있기 때문에 PACS에서의 CT, MR 영상의 판독을 위한 단기 저장시에 적합한 압축 알고리즘으로 CT와 MR 영상의 무손 실 압축에 대해 새로운 전처리 방법을 제시하였고, 기존 무손실 압축 방법들과 비교 분석한 결과 압축률이 2.1%∼5.9% 정도 향상되었다.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.1756-1757
• /
• 2007

어느 정도 규모를 가진 실험 설비를 자동화하기 위해서 분산 I/O를 지원해 주는 자동화 컨트롤러를 사용하는 것이 편리하며 이러한 용도로 PLC(Programmable Logic Controller), PAC(Programmable Automation Controller) 등을 사용하고 있다. 하지만 기능적으로 필요로 하는 I/O 이외에 전원장치, 백프레임, 그리고 메인콘트롤러 등의 항목이 추가된다. 이러한 제한은 필요로 하는 자동화 대상인 설비의 I/O의 접점수가 많지 않지만 이들을 분산하여 설치될 필요가 있을 경우 전체 시스템을 자동화 하는데 소요되는 비용을 필요 이상으로 높이게 된다. 본 연구는 현재 한국원자력연구원에서 시험 운전 중인 TS-NBI 장치의 자동화에 이용할 목적으로 자동화 대상 설비의 I/O 접점수가 많지 않지만 분산 I/O로 구성하여야 하는 경우에 적용할 해결책을 찾기 위해서 수행 하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2002.05a
• /
• pp.185-188
• /
• 2002

With improved network system and development of computer technology, a lot of hospitals are equipping PACS that deals with process and transmission of the medical images. Owing to equipment of PACS the problems on transmission and storage of the medical images were treated. The way to solve the problems is to use various image processing techniques and compression methods This paper describes RLC in lossless image compression method, JPEG using DCT in loss image compression applied to medical images as way implementing DICOM standard. Now the medical images were compressed with Wavelet transform method have been taken advantage of image process. And compression rate of each compression methods was analyzed.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2004.11a
• /
• pp.862-865
• /
• 2004

The system air conditioner has an outdoor unit and a number of indoor units, which connected by several long pipes. In comparison with building HAVC system, the system air conditioner doesn't need lots of facilities, such as control of room, cooling tower, etc. At the beginning stage for the market of the system air conditioner, its main application was a school which size is small to use the building HAVC and large to use home air conditioning system, such as PAC (package air conditioner), RAC (room air conditioner). Therefore, because of the advantages of the system air conditioner mentioned above, the market is expanded rapidly. Since it is difficult to evaluate the noise caused by the system air conditioner because it has to be implemented before the finish of construction, the prediction or estimation of the noise by using CAE technology should be very important. In this research, using a commercial code, RAYNOISE, the noise is estimated to improve the design of building.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.10 no.12
• /
• pp.1403-1410
• /
• 2015

The purpose of this study is to provide ways to utilize and create valuable medical information utilizing Medical Big Data created by field in hospital information system. The results of this study first creates new medical information of Medical Information system through medical big data analysis and integration of created data of PACS linked with many kinds of testing equipment and medical image equipment along with medical treatment information. Medical information created in this way produces various health information for treatment and prevention of disease and infectious disease. Second, it creates profit statistics information in various ways by analyzing medical big data accumulated through integration of billings and receipt, admission breakdown of patients. Profit statistics information created in this way produces various administration information to be utilized in profit anaysis and operation of medical institution. Likewise, data integration of personal health history, medical information of public institutions, medical information created in hospital information system produces valuable medical health information utilizing medical data.

• KIPS Transactions on Computer and Communication Systems
• /
• v.11 no.9
• /
• pp.317-322
• /
• 2022

The rapid development of information technology is also bringing about many changes in the medical environment. In particular, it is leading the rapid change of medical image information systems using big data and artificial intelligence (AI). The prescription delivery system (OCS), which consists of an electronic medical record (EMR) and a medical image storage and transmission system (PACS), has rapidly changed the medical environment from analog to digital. When combined with multiple solutions, PACS represents a new direction for advancement in security, interoperability, efficiency and automation. Among them, the combination with artificial intelligence (AI) using big data that can improve the quality of images is actively progressing. In particular, AI PACS, a system that can assist in reading medical images using deep learning technology, was developed in cooperation with universities and industries and is being used in hospitals. As such, in line with the rapid changes in the medical image information system in the medical environment, structural changes in the medical market and changes in medical policies to cope with them are also necessary. On the other hand, medical image information is based on a digital medical image transmission device (DICOM) format method, and is divided into a tomographic volume image, a volume image, and a cross-sectional image, a two-dimensional image, according to a generation method. In addition, recently, many medical institutions are rushing to introduce the next-generation integrated medical information system by promoting smart hospital services. The next-generation integrated medical information system is built as a solution that integrates EMR, electronic consent, big data, AI, precision medicine, and interworking with external institutions. It aims to realize research. Korea's medical image information system is at a world-class level thanks to advanced IT technology and government policies. In particular, the PACS solution is the only field exporting medical information technology to the world. In this study, along with the analysis of the medical image information system using big data, the current trend was grasped based on the historical background of the introduction of the medical image information system in Korea, and the future development direction was predicted. In the future, based on DICOM big data accumulated over 20 years, we plan to conduct research that can increase the image read rate by using AI and deep learning algorithms.

• Journal of Internet of Things and Convergence
• /
• v.2 no.4
• /
• pp.15-20
• /
• 2016

This paper describes the construction of knowledge data retrieval management system based on medical image CT. The developed system is aimed to improve the efficiency of the hospital by reading the medical images using the intelligent retrieval technology and diagnosing the patient 's disease name. In this study, the medical image DICOM file of PACS is read, the image is processed, and feature values are extracted and stored in the database. We have implemented a system that retrieves similarity by comparing new CT images required for medical treatment with the feature values of other CTs stored in the database. After converting 100 CT dicom provided for academic research into JPEG files, Code Book Library was constructed using SIFT, CS-LBP and K-Mean Clustering algorithms. Through the database optimization, the similarity of the new CT image to the existing data is searched and the result is confirmed, so that it can be utilized for the diagnosis and diagnosis of the patient.

• The KIPS Transactions:PartC
• /
• v.17C no.2
• /
• pp.173-180
• /
• 2010

Information technology is being applied to the development of ubiquitous healthcare system, which provides both efficient patient care and convenient treatment regardless of patient's location. However, the increasing number of users and medical information give rise to the problem of user management and the infringement of privacy. In order to address this problem we propose a user access scheme based on the RBAC (Role Based Access Control) model. The preceding trust management model for Grid security, FAS(Federation Agent Server), was analyzed and extended to provide supplementary functions for role-based access control in u-Healthcare system. The RBAC model provides efficient user management and access control, but very vulnerable in case when one with valid role tries to leak confidential inner medical information. In order to resolve this problem, a RBAC-WS (Work Status with RBAC) model has been additionally developed which allows only qualified staffs to access the system while on duty. Th proposed RBAC and RBAC-WS model have been merged together and applied to the PACS (Picture Archiving and Communication System).

• Journal of radiological science and technology
• /
• v.28 no.4
• /
• pp.317-325
• /
• 2005

The recent medical treatment guidelines and the development of information technology make hospitals reduce the expense in surrounding environment and it requires improving the quality of medical treatment of the hospital. That is, with the new guidelines and technology, hospital business escapes simple fee calculation and insurance claim center. Moreover, MIS(Medical Information System), PACS(Picture Archiving and Communications System), OCS(Order Communicating System), EMR(Electronic Medical Record), DSS(Decision Support System) are also developing. Medical Information System is evolved toward integration of medical IT and situation si changing with increasing high speed in the ICT convergence. These changes and development of ubiquitous environment require fundamental change of medical information system. Mobile medical information system refers to construct wireless system of hospital which has constructed in existing environment. Through RFID development in existing system, anyone can log on easily to Internet whenever and wherever. RFID is one of the technologies for Automatic Identification and Data Capture(AIDC). It is the core technology to implement Automatic processing system. This paper provides a comprehensive basic review of RFID model in Korea and suggests the evolution direction for further advanced RFID application services. In addition, designed and implemented DB server's agent program and Client program of Mobile application that recognized RFID tag and patient data in the ubiquitous environments. This system implemented medical information system that performed patient data based EMR, HIS, PACS DB environments, and so reduced delay time of requisition, medical treatment, lab.

• Journal of Korean Society of Water and Wastewater
• /
• v.20 no.1
• /
• pp.27-34
• /
• 2006

This study was conducted to evaluate the performance of a membrane bioreactor filled with high concentration of powdered activated carbon (HCPAC-MBR) to reduce DBPs at the drinking water treatment. The pilot system was installed after the rapid sand filtration process whose plant was the conventional treatment process. The removal efficiencies of DBPs were measured during pilot operation period of 2 years. HAA and THM removal rates could be maintained around 80~90% without any troubles and then tremendous reduction of HAA and THM reactivity were observed more than 52%. The average removal rate of HAA formation potential (FP) and THM formation potential (FP) were 70.5% and 67.6% respectively. It is clear that the PAC membrane bioreactor is highly applicable for advanced water treatment to control DBPs.