• Title/Summary/Keyword: service evolution

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Development and Application of Teacher Education Programs to Promote Evolutionary Theory as a Unifying Theory in Biolog (생물학에서 진화론의 역할에 대한 인식 향상을 위한 교사교육 프로그램의 개발 및 적용)

  • Lee, Sun Nam;Cha, Heeyoung;Jang, Kyeong Ae
    • Journal of The Korean Association For Science Education
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    • v.34 no.8
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    • pp.767-778
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    • 2014
  • Many biologists and various educational associations define evolution as a unifying theme as well as a central idea in biology. In this study, teacher education programs were developed as 18-hour courses on understanding the unified role and significance of evolution in biology, and their effectiveness was tested. As factors for the program content, enhancement of the acceptance of evolution, reinforcement of the conception of evolutionary theory, and recognizing and practicing evolution as the unifying nature of evolution were considered. Hands-on activities, self- and peer-evaluation, and projects based on the small teams including frequent questioning and feedback by instructors were considered methodological factors. Six in-service biology teachers and seven pre-service teachers took part in the programs of the graduate school of H university to testing their effectiveness. They were effective in improving the acceptance of evolution, the understanding of evolutionary mechanism, the perception on the unified role of evolution. The programs also induced a positive change in self-evaluation for knowledge of evolution and perception on importance of evolution in biology. Subsequent studies on whether the changed perceptions of the teachers who participated in the programs reflect on their biology classes in secondary schools after finishing the graduate program are required.

Evolution of trauma care and the trauma registry in the West Australian health system

  • Iddagoda, Mayura Thilanka;Burrell, Maxine;Rao, Sudhakar;Flicker, Leon
    • Journal of Trauma and Injury
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    • v.35 no.2
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    • pp.71-75
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    • 2022
  • Trauma care is evolving throughout the world to meet the demand resulting from rapidly increasing rates of mortality and morbidity related to external injuries. The State Major Trauma Service was designated to Royal Perth Hospital in 2004 to provide comprehensive care for trauma patients in Western Australia (WA), which is the largest state by area in the country. The State Major Trauma Unit, which was established in 2008, functions as a level I center and admits over 1,000 major trauma patients per year, making it the second busiest trauma center in Australia. The importance of recording data related to trauma was identified by the trauma service in WA to inspire higher standards of patient care and injury prevention. In 1994, the service established a trauma registry, which has undergone significant changes over the last two decades. The current State Trauma Registry is linked to a statewide database called the Data Linkage System. The linked data are available for policy development, quality assurance, and research. This article discusses the evolution of the trauma service and the registry database in the WA health system. The State Trauma Registry has enormous potential to contribute to research and quality improvement studies along with its ability to link with other databases.

PREDICTION OF MICROSTRUCTURE EVOLUTION AND HARDNESS DISTRIBUTION IN THE WELD REPAIR OF CARBON STEEL PIPELINE

  • Li, Victor;Kim, Dong
    • Proceedings of the KWS Conference
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    • 2002.10a
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    • pp.205-210
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    • 2002
  • This article presents an integrated modeling approach for coupled analysis of heat transfer and microstructure evolution in welding carbon steel. The modeling procedure utilizes commercial [mite element code ABAQUS/Standard as the platform for solving the equation of heat conduction. User subroutines that implement computational thermodynamics and kinetics models are integrated with the FEA code to compute the transient microstructure evolution. In this study, the integrated models are applied to simulate the hot-tap repair welding of carbon steel pipeline. Microstructural components are treated as user output variables. Based on the predicted microstructure and cooling rates, hardness distributions in the welds were also predicted. The predicted microstructure and hardness distribution were found in good agreement with metallographic examinations and hardness measurements. This study demonstrates the applicability of computational models for the development of welding procedure for in-service pipeline repair.

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A study on the evolution strategy for power telecommunications network (전력정보 통신망 진화방안 연구)

  • Lee, Won-Tae;Lee, Jae-Jo;Park, Yang-Ha;Kim, Kwan-Ho
    • Proceedings of the KIEE Conference
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    • 1995.07b
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    • pp.928-930
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    • 1995
  • The power telecommunication network is a important base construction of power company. The requirements of power plant operation, office automation, subscriber services make it to go on evolution for new structure and advanced services. For these reasons its evolution strategy establishment is needed for systematical improvement. In this paper, we established the structure of power integrated information network which will be able to adapt international standard trends, to support original power prodection, to have competitive power in the telecommunication service market, and suggest evolution strategy schemes for stepwise development.

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Prediction of Microstructure Evolution and Hardness Distribution in the Weld Repair of Carbon Steel Pipeline

  • Li, V.;Kim, D.
    • International Journal of Korean Welding Society
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    • v.2 no.2
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    • pp.1-6
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    • 2002
  • This article presents an integrated modeling approach for coupled analysis of heat transfer and microstructure evolution in welding carbon steel. The modeling procedure utilizes commercial finite element code ABAQUS/Standard as the platform for solving the equation of heat conduction. User subroutines that Implement computational thermodynamics and kinetics models are integrated with the FEA code to compute the transient microstructure evolution. In this study, the integrated models are applied to simulate the hot-tap repair welding of carbon steel pipeline. Microstructural components are treated as user output variables. Based on the predicted microstructure and cooling rates, hardness distributions in the welds were also predicted. The predicted microstructure and hardness distribution were found in good agreement with metallographic examinations and hardness measurements. This study demonstrates the applicability of computational models for the development of welding procedure for in-service pipeline repair.

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Korean Pre-service Science Teachers' Belief on Science Teaching and Learning and its Evolution (예비 과학교사의 과학 교수와 학습에 대한 신념 및 변화 양상)

  • Kim, Youngmin;Lee, Hyunju;Kim, Jae-kwon
    • Journal of Science Education
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    • v.37 no.1
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    • pp.40-51
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    • 2013
  • This study examined Korean pre-service science teachers' belief on science teaching and learning and its evolution over years in their teacher preparation programs. Juniors and seniors from two major universities, enrolled in college of education located in major cities in Korea, participated in this study. They completed BARSTL(Belief About Refrmed Science Teaching and Learning) which consisted of 32 Likert scale items. In order to investigate the evolution of their belief on science teaching and learning, the juniors responded to BARSTL again after 1 year. Results indicated that the pre-service science teachers had to some extent positive beliefs on science teaching and learning, but their beliefs were not much developed over a year.

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A New Multi-objective Evolutionary Algorithm for Inter-Cloud Service Composition

  • Liu, Li;Gu, Shuxian;Fu, Dongmei;Zhang, Miao;Buyya, Rajkumar
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.1-20
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    • 2018
  • Service composition in the Inter-Cloud raises new challenges that are caused by the different Quality of Service (QoS) requirements of the users, which are served by different geo-distributed Cloud providers. This paper aims to explore how to select and compose such services while considering how to reach high efficiency on cost and response time, low network latency, and high reliability across multiple Cloud providers. A new hybrid multi-objective evolutionary algorithm to perform the above task called LS-NSGA-II-DE is proposed, in which the differential evolution (DE) algorithm uses the adaptive mutation operator and crossover operator to replace the those of the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to get the better convergence and diversity. At the same time, a Local Search (LS) method is performed for the Non-dominated solution set F{1} in each generation to improve the distribution of the F{1}. The simulation results show that our proposed algorithm performs well in terms of the solution distribution and convergence, and in addition, the optimality ability and scalability are better compared with those of the other algorithms.

Stochastic modelling fatigue crack evolution and optimum maintenance strategy for composite blades of wind turbines

  • Chen, Hua-Peng;Zhang, Chi;Huang, Tian-Li
    • Structural Engineering and Mechanics
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    • v.63 no.6
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    • pp.703-712
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    • 2017
  • The composite blades of offshore wind turbines accumulate structural damage such as fatigue cracking due to harsh operation environments during their service time, leading to premature structural failures. This paper investigates various fatigue crack models for reproducing crack development in composite blades and proposes a stochastic approach to predict fatigue crack evolution and to analyse failure probability for the composite blades. Three typical fatigue models for the propagation of fatigue cracks, i.e., Miner model, Paris model and Reifsnider model, are discussed to reproduce the fatigue crack evolution in composite blades subjected to cyclical loadings. The lifetime probability of fatigue failure of the composite blades is estimated by stochastic deterioration modelling such as gamma process. Based on time-dependent reliability analysis and lifecycle cost analysis, an optimised maintenance policy is determined to make the optimal decision for the composite blades during the service time. A numerical example is employed to investigate the effectiveness of predicting fatigue crack growth, estimating the probability of fatigue failure and evaluating an optimal maintenance policy. The results from the numerical study show that the stochastic gamma process together with the proper fatigue models can provide a useful tool for remaining useful life predictions and optimum maintenance strategies of the composite blades of offshore wind turbines.

FUTURE BROADCASTING SERVICES AND MULTIMEDIA TECHNOLOGIES IN ISDB

  • Yanagimachi, Akio
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.06a
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    • pp.1-11
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    • 1997
  • Although digitalization of broadcast waves is extending the multichannel programming capabilities of broadcasting, it does not fully exploit the potentiality of the digital evolution in broadcasting. ISDB has been put forth as second-generation digital broadcasting which offers a basis for a universal service in the future multimedia environment, and opens many new possibilities for services and their use. The paper is divided into three parts: A vision of the future of broadcasting, Evolution towards ISDB - integrated Services Television, and Technology development.

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PC Cluster based Parallel Adaptive Evolutionary Algorithm for Service Restoration of Distribution Systems

  • Mun, Kyeong-Jun;Lee, Hwa-Seok;Park, June-Ho;Kim, Hyung-Su;Hwang, Gi-Hyun
    • Journal of Electrical Engineering and Technology
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    • v.1 no.4
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    • pp.435-447
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    • 2006
  • This paper presents an application of the parallel Adaptive Evolutionary Algorithm (AEA) to search an optimal solution of the service restoration in electric power distribution systems, which is a discrete optimization problem. The main objective of service restoration is, when a fault or overload occurs, to restore as much load as possible by transferring the de-energized load in the out of service area via network reconfiguration to the appropriate adjacent feeders at minimum operational cost without violating operating constraints. This problem has many constraints and it is very difficult to find the optimal solution because of its numerous local minima. In this investigation, a parallel AEA was developed for the service restoration of the distribution systems. In parallel AEA, a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner are used in order to combine the merits of two different evolutionary algorithms: the global search capability of the GA and the local search capability of the ES. In the reproduction procedure, proportions of the population by GA and ES are adaptively modulated according to the fitness. After AEA operations, the best solutions of AEA processors are transferred to the neighboring processors. For parallel computing, a PC cluster system consisting of 8 PCs was developed. Each PC employs the 2 GHz Pentium IV CPU and is connected with others through switch based fast Ethernet. To show the validity of the proposed method, the developed algorithm has been tested with a practical distribution system in Korea. From the simulation results, the proposed method found the optimal service restoration strategy. The obtained results were the same as that of the explicit exhaustive search method. Also, it is found that the proposed algorithm is efficient and robust for service restoration of distribution systems in terms of solution quality, speedup, efficiency, and computation time.