• Title/Summary/Keyword: 의사병렬

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An Exploratory Study on Policy Decision Making with Artificial Intelligence: Applying Problem Structuring Typology on Success and Failure Cases (인공지능을 활용한 정책의사결정에 관한 탐색적 연구: 문제구조화 유형으로 살펴 본 성공과 실패 사례 분석)

  • Eun, Jong-Hwan;Hwang, Sung-Soo
    • Informatization Policy
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    • v.27 no.4
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    • pp.47-66
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    • 2020
  • The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

Data Sampling-based Angular Space Partitioning for Parallel Skyline Query Processing (데이터 샘플링을 통한 각 기반 공간 분할 병렬 스카이라인 질의처리 기법)

  • Chung, Jaehwa
    • The Journal of Korean Association of Computer Education
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    • v.18 no.5
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    • pp.63-70
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    • 2015
  • In the environment that the complex conditions need to be satisfied, skyline query have been applied to various field. To processing a skyline query in centralized scheme, several techniques have been suggested and recently map/reduce platform based approaches has been proposed which divides data space into multiple partitions for the vast volume of multidimensional data. However, the performances of these approaches are fluctuated due to the uneven data loading between servers and redundant tasks. Motivated by these issues, this paper suggests a novel technique called MR-DEAP which solves the uneven data loading using the random sampling. The experimental result gains the proposed MR-DEAP outperforms MR-Angular and MR-BNL scheme.

A Customized Cancer Radiation Treatment Planning Simulation (ccRTPs) System via Web and Network (웹과 네트워크 기술을 이용한 환자 맞춤식 암치료 계획 시뮬레이션 시스템)

  • Khm, O-Yeon
    • Progress in Medical Physics
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    • v.17 no.3
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    • pp.144-152
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    • 2006
  • The telemedicine using independent client-server system via networks can provide high quality normalized services to many hospitals, specifically to local/rural area hospitals. This will eventually lead to a decreased medical cost because the centralized institute can handle big computer hardware systems and complicated software systems efficiently and economically, Customized cancer radiation treatment planning for each patient Is very useful for both a patient and a doctor because it makes possible for the most effective treatment with the least possible dose to patient. Radiation planners know that too small a dose to the tumor can result in recurrence of the cancer, while too large a dose to healthy tissue can cause complications or even death. The best solution is to build an accurate planning simulation system to provide better treatment strategies based on each patient's computerized tomography (CT) image. We are developing a web-based and a network-based customized cancer radiation therapy simulation system consisting of four Important computer codes; a CT managing code for preparing the patients target data from their CT image files, a parallel Monte Carlo high-energy beam code (PMCEPT code) for calculating doses against the target generated from the patient CT image, a parallel linear programming code for optimizing the treatment plan, and scientific data visualization code for efficient pre/post evaluation of the results. The whole softwares will run on a high performance Beowulf PC cluster of about 100-200 CPUs. Efficient management of the hardware and software systems is not an easy task for a hospital. Therefore, we integrated our system into the client-sewer system via network or web and provide high quality normalized services to many hospitals. Seamless communication with doctors is maintained via messenger function of the server-client system.

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Torque Distribution Control of 3RRR Redundant Parallel Robot (여유구동 3RRR 병렬로봇의 힘분배 제어에 관한 연구)

  • Lee, Sang-Moon;Lee, Jeh-Won;Shim, Ho-Seok
    • Journal of the Korean Society for Precision Engineering
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    • v.25 no.2
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    • pp.72-79
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    • 2008
  • In the redundant actuation system which has more actuators than a system's mobility, there are various method to determine actuated torques because those are not determined uniquely. This paper presents a torque distribution method using weighted-pseudoinverse to optimize the maximum torque of various actuated inputs of the redundant system. The various weighting factor of weighted-pseudoinverse is studied to reduce maximum actuated torque. This method is experimentally applied to 3RRR parallel robot, which shows that presented method can efficiently reduce the maximum actuated torque.

Telerobotic Microsurigical Robot Design based on the analysis of Microsurgery (미세수술 동작분석을 통한 원격제어 수술로봇 설계)

  • 송세경;권동수
    • Journal of Biomedical Engineering Research
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    • v.20 no.4
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    • pp.401-407
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    • 1999
  • A microsurgery telerobotic system has been developed to aid surgeons from physiological tremor, eye stram, hand tremor, contagious and radioactive hazard. This paper identifies four general areas of advanced microsurgery and analyzes the motion, tools, accuracy and applying forces with respect to microsurgery tasks, and proposes the criteria to design the microsurgical robot. The analysis of microsurgery can be helpful to clarify some basic concept and design of surgical robots. Based on this analysis results, we propose an efficient in-parallel-platform manipulator having a special kinematic structure suitable for microsurgery.

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PPGA-Based Optimal Tuning of a Digital PID Controller (PPGA에 기초한 디지털 PID 제어기의 최적 동조)

  • Shin, Myung-Ho;Kim, Min-Jeong;Lee, Yun-Hyung;So, Myung-Ok;Jin, Gang-Gyoo
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2005.06a
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    • pp.314-320
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    • 2005
  • In this paper, a methodology for estimating the parameters of a discrete-time system and designing a digital PID controller based on the estimated model and a genetic algorithm is presented. To deal with optimization problems occurring regarding parameter estimation and controller design, a pseudo parallel genetic algorithm (PPGA) is used. The parameters of a discrete-time system are estimated using both the model technique and a PPGA. The digital PID controller is described by the pulse transfer function and its parameters are tuned based on both the model reference technique and another PPGA. A set of experimental works on two processes are carried out to illustrate the performance of the proposed method.

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Analysis and Forecast of Technology Trends from S&T Big Data (과학기술 빅 데이터 기반 기술 동향 분석 및 예측)

  • Jung, Hanmin
    • Proceedings of the Korea Contents Association Conference
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    • 2012.05a
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    • pp.169.1-169.1
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    • 2012
  • 최근 높은 관심과 기술적 이슈를 끌어내고 있는 빅 데이터는 과학기술 분야에도 무수히 존재한다. 위성사진, 동영상을 비롯하여 링크드 데이터 (Linked Data)에 이르기까지 데이터 유형과 무관하게 처리해야 할 대상은 계속 늘어가고 있는 실정이다. 최근 몇 년동안 과학기술 문헌을 대상으로 시맨틱 기술과 자연어처리 기술을 이용하여 기술 동향을 분석하고 예측하는 연구를 수행해 온 KISTI는 빅 데이터 환경에 맞추어 분석 플랫폼을 분산/병렬화하는 동시에 모바일 서비스 플랫폼을 통해 신속한 의사 결정을 지원하는 전략을 취하고 있다. 또한, 법무부, 국방기술품질원, 관세청에 적용한 분석 기술을 더욱 고도화하여 사용자 적응형 가이드 서비스를 개발하고 이를 통해 연구 개발 전략 수립을 실제적으로 지원할 수 있도록 노력하고 있다.

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Speed Up of OLAP Query response time By Chunk-based Caching Scheme In Shared nothing Structure (Shared nothing 구조하에서 Chunk-based Caching 전략에 의한 OLAP Query response time의 속도향상)

  • 엄준식;정병수
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10a
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    • pp.135-137
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    • 1999
  • 현재 의사결정 시스템을 위한 데이터 웨어하우스는 데이터베이스 분야에서 비약적인 발전을 해오고 있다. 이 분야에서 중요한 사항은 사용자의 질의에 대한 응답시간이다. 사용자로부터 질의가 요구되면 과거의 많은 데이터를 분석하여 적절한 시간 내에 분석결과를 되돌려 줄 수 있어야 하는데 데이터 웨어하우스의 특성상 대용량의 데이터를 저장하고 분석 시에 많은 데이터를 검색해야 하므로 질의 응답시간에 많은 시간이 소요된다. 이 논문에서는 Chunk based caching 기법에 의해서 새로이 요구되는 질의에 대해 이미 메모리에 캐시 되어진 내용을 이용하는 방식을 통해 디스크의 I/O 횟수를 줄임으로서 질의 응답시간을 단축시키는 기법을 소개한다. 또한 chunk miss에 대한 처리를 병렬로 수행함으로써 메모리에 캐시되지 않은 내용을 디스크로부터 로드하는 시간을 단축시키는 방법도 아울러 소개한다.

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