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An Outlook on Rotordynamic Pump Theory Development

  • Ni, Yongyan;Pan, Zhongyong
    • International Journal of Fluid Machinery and Systems
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    • 제10권2호
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    • pp.99-118
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    • 2017
  • ECHO progress was defined to depict the rotordynamic pump theory development. Experience (E) era for pumps lasted nearly one and a half hundred years before the Industrial Revolution due to the low rotation speed of motor and undeveloped manufacture ability. Classic (C) theory referring to quasi-static performance as well as the items those were not able to be steadily resolved under the level were briefly and sophisticated outlined. Since 1962, flow instabilities and the dynamic responses had come into main attention with the development of the modern technologies such as ballistic missile, rocket and space shuttle main engine, and were finally heuristically (H) elucidated by talented scholars and researchers. Recently, new applications for the pumps open (O) to the surrounding fluid and diversity of the medium such as multiphase flow need more studies and some examples were briefly introduced to display the potential problems lastly.

The Application of Machine Learning Algorithm In The Analysis of Tissue Microarray; for the Prediction of Clinical Status

  • Cho, Sung-Bum;Kim, Woo-Ho;Kim, Ju-Han
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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    • pp.366-370
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    • 2005
  • Tissue microarry is one of the high throughput technologies in the post-genomic era. Using tissue microarray, the researchers are able to investigate large amount of gene expressions at the level of DNA, RNA, and protein The important aspect of tissue microarry is its ability to assess a lot of biomarkers which have been used in clinical practice. To manipulate the categorical data of tissue microarray, we applied Bayesian network classifier algorithm. We identified that Bayesian network classifier algorithm could analyze tissue microarray data and integrating prior knowledge about gastric cancer could achieve better performance result. The results showed that relevant integration of prior knowledge promote the prediction accuracy of survival status of the immunohistochemical tissue microarray data of 18 tumor suppressor genes. In conclusion, the application of Bayesian network classifier seemed appropriate for the analysis of the tissue microarray data with clinical information.

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태양광발전과 연료전지의 하이브리드 시스템 (Hybrid System of Solar Cell and Fuel Cell)

  • 황준원;최용성;이경섭
    • 전기학회논문지P
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    • 제58권4호
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    • pp.568-573
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    • 2009
  • Because of environmental crisis, researchers are seeking and developing a new, clean, safe and renewable energy. Solar cell energy and fuel cell energy have inestimable development potential. The paper introduces hybrid photovoltaic-fuel cell generation systems supplying a remote power load and hybrid system of solar cell and fuel cell considering the advantages of stable and sustainable energy from the economic point of view. Fuel cell power system has been proven a viable technology to back up severe PV power fluctuations under inclement weather conditions. Fuel cell power generation, containing small land us, is able to alleviate the heavy burden for large surface requirement of PV power plants. In addition, the PV-fuel cell hybrid power system shows a very little potential for lifetime $CO_2$ emissions. In this paper shows the I-V characteristics of the solar module which are dependent on the power of the halogen lamp and the I-V characteristics of fuel cells which are connected in parallel. Also, it shows efficiency of the hybrid system.

Multi Case Non-Convex Economic Dispatch Problem Solving by Implementation of Multi-Operator Imperialist Competitive Algorithm

  • Eghbalpour, Hamid;Nabatirad, Mohammadreza
    • Journal of Electrical Engineering and Technology
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    • 제12권4호
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    • pp.1417-1426
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    • 2017
  • Power system analysis, Non-Convex Economic Dispatch (NED) is considered as an open and demanding optimization problem. Despite the fact that realistic ED problems have non-convex cost functions with equality and inequality constraints, conventional search methods have not been able to effectively find the global answers. Considering the great potential of meta-heuristic optimization techniques, many researchers have started applying these techniques in order to solve NED problems. In this paper, a new and efficient approach is proposed based on imperialist competitive algorithm (ICA). The proposed algorithm which is named multi-operator ICA (MuICA) merges three operators with the original ICA in order to simultaneously avoid the premature convergence and achieve the global optimum answer. In this study, the proposed algorithm has been applied to different test systems and the results have been compared with other optimization methods, tending to study the performance of the MuICA. Simulation results are the confirmation of superior performance of MuICA in solving NED problems.

A Service-Oriented Architecture for Computational Creativity

  • Veale, Tony
    • Journal of Computing Science and Engineering
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    • 제7권3호
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    • pp.159-167
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    • 2013
  • Creativity is a long cherished and widely studied aspect of human behavior that allows us to re-invent the familiar, and to imagine the new. Computational creativity (CC) is a newly burgeoning area of creativity research that brings together academics and practitioners from diverse disciplines, genres and modalities, to explore the potential of computers to be autonomously creative, or to collaborate as co-creators with people. We describe here an architecture for creative Web services that will act as a force magnifier for CC, both for academic research, and for the effective deployment of real CC applications in industry. For researchers, this service-oriented architecture supports the pooling of technologies in a robust interoperable framework, in which CC models are conceived, developed and migrated from lab settings to an industrial strength platform. Industry developers, for their part, will be able to exploit novel results of CC research in a robust, low-risk form, without having to re-implement algorithms from a quickly moving field. We illustrate the architecture with the first of a growing set of creative Web services that provide robust figurative language processing on demand.

Developing Track Ballast Characteristic Guideline In Order To Evaluate Its Performance

  • Sadeghi, J.M.;Zakeri, J. Ali;Najar, M. Emad Motieyan
    • International Journal of Railway
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    • 제9권2호
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    • pp.27-35
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    • 2016
  • In spite of recent advances in ballasted railway track, the correct choice of ballast for rail track is still considered critical because aggregates progressively deteriorate under traffic loading and environmental exposures. Various ballast requirements, functions and duties have been defined by researchers, railway companies and countries' regulations even though it needs to be integrated to make following proper decision during track operation and maintenance. A proper understanding of ballast properties and suitable tests are prerequisites for minimizing maintenance costs. This paper presents a capable classification for ballast characteristics which need to be investigated beforehand to such a way, firstly to assign ballast functions, secondly need to clarify ballast requirements, thirdly to map appropriate tests to evaluate ballast characteristics and then it must be such that if ballast cannot carry out one of these duties, be able to call there is ballast defect. The paper is structured in order to achieve these objectives.

Factors affecting the properties of recycled concrete by using neural networks

  • Duan, Zhen-Hua;Poon, Chi-Sun
    • Computers and Concrete
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    • 제14권5호
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    • pp.547-561
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    • 2014
  • Artificial neural networks (ANN) has been proven to be able to predict the compressive strength and elastic modulus of recycled aggregate concrete (RAC) made with recycled aggregates (RAs) from different sources. However, ANN is itself like a black box and the output from the model cannot generate an exact mathematical model that can be used for detailed analysis. So in this study, sensitivity analysis is conducted to further examine the influence of each selected factor on the output value of the models. This is not only conducive to the determination and selection of the more important factors affecting the results, but also can provide guidance for researchers in adjusting mix proportions appropriately when designing RAC based on the variation of these factors.

대장내시경을 위한 자기 충격 액츄에이터 (Magnetic Impact Actuator for Robotic Endoscope)

  • 민현진;임형준;김병규;김수현
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2001년도 춘계학술대회 논문집
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    • pp.839-843
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    • 2001
  • For robotic endoscope, some researchers suggest pneumatic actuators based on inchworm motion. But, the existing endoscopes are not seemed to be replaced completely because human intestine is very sensitive and susceptible to damage. We design and test a new locomotion of robotic endoscope able to maneuver safely in the human intestine. The actuating mechanism is composed of two solenoids at each side and a single permanent magnet. When the current direction is reversed, repulsive force and attractive at the opposition side propels permanent magnet. Impact force against robotic endoscope transfer momentum from moving magnet to endoscope capsule. The direction and moving speed of the actuator can be controlled by adjusting impact force. Modeling and simulation experiments are carried out to predict the performance of the actuator. Simulation experiments show that force profile of permanent magnet is the dominant factor for the characteristic of the actuator. The results of simulations are verified by comparing with the experimental results.

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국가 수준의 중학교 ‘기술 .가정 1’교과의 멀티미디어 교육자료 개발 연구 (Development of the Multimedia Teaching Materials for “Technology - Home Economics 1” Subject in Middle School in National Level.)

  • 윤인경;김진수;이수정;신순인
    • 한국가정과교육학회지
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    • 제15권1호
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    • pp.43-55
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    • 2003
  • A purpose of this study is to develop multimedia materials of “Technology and Home Economics” subject matter in a national level. Researchers. writers. examiners. deliverers and developers in order to develop multimedia materials were organized of us with 40 People. First. we analyzed the textbooks of "Technology $.$ Home Economics" subject matter and made the idea design Second we got storyboards based on the idea design. Finally. we developed the 1021 multimedia materials based with storyboards. The developed materials were uploaded to the Edunet website. If the materials developed in this study are utilized. students of middle school will be get easily educational motive. and teachers are able to use the multimedia materials to the Technology $.$ Home Economics 1" subject instruction.

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고기능성 시멘트계 복합재료의 인장 특성에 대한 연구 (Tension Properties of Engineered Cementitious Composite(ECC))

  • 김동완;경민수;배병원;전경숙;임윤묵;김장호
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2003년도 가을 학술발표회 논문집
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    • pp.244-247
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    • 2003
  • Recently, construction materials have been quickly advancing. Especially, the rate of development of cement based construction materials is much quicker than steel or composite materials. In order to optimize the ductility and strength of cement based materials, Micro-Mechanics based fiber concrete called Engineered Cement Composite (ECC) has been developed and studied extensively by many researchers in the field due to ECC's remarkable flexural strain and strength capacities, many leading nation (i.e., US, Japan and European countries have reached the point of being able to use ECC in actual constructions. But, due to the belated interest in the field, Korea is lagging behind the leading countries. ECC's ability to use its short fibers to bridge micro-cracks (50-80㎛ in width) allows great ductility and strength. In this study, it is confirmed excellency of ECC through the test of tensile strength.

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