Advanced Materials Research
Vols. 123-125
Vols. 123-125
Advanced Materials Research
Vols. 121-122
Vols. 121-122
Advanced Materials Research
Vols. 118-120
Vols. 118-120
Advanced Materials Research
Vol. 117
Vol. 117
Advanced Materials Research
Vols. 113-116
Vols. 113-116
Advanced Materials Research
Vol. 112
Vol. 112
Advanced Materials Research
Vols. 108-111
Vols. 108-111
Advanced Materials Research
Vol. 107
Vol. 107
Advanced Materials Research
Vols. 105-106
Vols. 105-106
Advanced Materials Research
Vols. 102-104
Vols. 102-104
Advanced Materials Research
Vols. 97-101
Vols. 97-101
Advanced Materials Research
Vol. 96
Vol. 96
Advanced Materials Research
Vol. 95
Vol. 95
Advanced Materials Research Vols. 108-111
Paper Title Page
Abstract: In this paper, the MRCTM model of closed-loop supply chain was investigated. An effective incentive mechanism that considered the uncertainty quality of product recycling was designed by the introduction of brand conversion factor. The author made an optimal analysis of the incentive mechanism. Moreover, the influence of different parameters, such as quality and brand to the fixed reward and the unit incentive payment was analyzed and some useful results were obtained.
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Abstract: With development of CMOS process, the minimum lithographic feature has now scaled down to regime of nano-scale. Integrated circuits (ICs) are becoming increasingly susceptible to uncertainty caused by soft errors, inherently probabilistic devices, and manufacturing variability. With all kinds of faults and errors, soft error is the most common and widespread. The different design methodology can reach different soft error tolerance ability, so we must find a way to estimate the soft error rate (SER) efficiently to make the design more fault tolerant. In this paper, we propose and investigate the ensemble transform matrix model. We show that the model can describe the actual nano-scale circuit performance. We also propose criteria to evaluate the circuits’ soft error tolerance capability. Simulation shows that the proposed ensemble transform matrix model is effective and suitable for CAD tools development in nano-scale circuit and system design.
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Abstract: QoS routing for the characteristics of the ant colony algorithm is improved. First of all defect from the ant colony algorithm and to increase Network Node bound, As well as to speed up global convergence analysis of the three areas of the ant colony algorithm to improve thinking; And by improving the ant colony algorithm in the QoS routing optimization application, the details of the ant colony algorithm to improve the design and implementation steps. Finally, simulation results show that: According to the algorithm for solving the problem and get the optimal solution of the ratio of full proof of improvement in the ant colony algorithm QoS routing optimization on the effectiveness and stability.
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Abstract: The purpose of this paper is to discuss the stability of linear system with constant coefficients. A simple practical criterion for the stability of linear system with constant coefficients is obtained.
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Abstract: The paper proposes a concurrent constant modulus algorithm (CMA) and decision-directed (DD) scheme for fractionally-spaced blind equalization. The proposed algorithm makes full use of the advantages of CMA and DD algorithm. A novel rule to control the adjustment of DD’s tap weights vector is proposed which avoids the hard switch between CMA and DD in practice. Simulations with underwater acoustic channels are used to compare the proposed algorithm with the famous CMA. And the simulation results show that the proposed algorithm has faster convergence rate and lower steady state mean square error.
363
Abstract: Objective: to investigate the effect of proprioceptive neuromuscular facilitation stretching on force-time curve and EMG Parameters in competitive aerobics athletes. Methods: we take 36 competitive aerobics athletes as participants, and they were tested after bicycle exercise and bicycle exercise/PNF stretching protocol,then the data were compared and analyzed.Conclusion: PNF stretching for lower extremity will not cause the maximum muscular strength and force - time curve parameters (MVC,F100,IRF,and TMVC) significantly decreased in competitive aerobics athletes, however,EMG voltage of rectus femoris has undergone a significant decline,which is showed that PNF stretch will cause change in excited mode,but force - time curve parameters will not be affected significantly.EMG showed that neural inhibition did not affect the maximum isometric muscle strength and characteristics of time - the power curve parameters, indicating PNF stretching can improve capability of muscle coordination.To take full advantage of PNF stretching exercises, changes of muscular strength and force - time curve parameters caused by PNF stretching should be studied in a more comprehensive, in-depth detail.
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Abstract: An emergency plan process modeling method has proposed in order to improve the emergency response information systems semantics of the model. First, emergency plan process ontology is designed by using ABC model as upper ontology. And the levels of the relationship of emergency plan process ontology, meta-model and hierarchically Petri nets are researched, especially the mapping rules between ontology and Petri nets. Finally, the hierarchically Petri nets model of an emergency plan is established by using the modeling method.
372
Abstract: Drifting snow is one of the main disasters in blocking railways and road traffics in cold areas. It has been becoming a key issue to reduce hazards from drifting snow in the engineering constructions in cold areas. The physical properties of snowfall and drifting snow, together with the transformation over terrain by engineering construction, give significant influence on the formation and growth of drifting snow. The accumulated snow distributing on high embankment transects built in the Jinghe-Yining Railway (JYR) has been chosen as the main object of this research, and a field observation of weather conditions over this area with in-situ experiments of the physical properties of snow and has been reported. All results indicated: the snow density and hardness were generally changed with the similar trending of air temperature variation, and both snow density and hardness increased with the duration of snow accumulated. However, the change of snow density and hardness appeared much more complicated variations than that of the air temperature. The snow depth and pressure, as well as the density and hardness were complicatedly distributed on both sides of the embankment transect, either roughly symmetrical or significantly different. We concluded that a great influence on the physical properties of snow had been exerted by many factors such as the topographic features, the redistribution of snowfall brought by engineering constructions, the weather conditions during snow accumulating etc.
380
Abstract: In this paper, the BIBO stabilization problem for a class of fuzzy large-scale systems is investigated. Based on the Lyapunov function and the LMI approach, sufficient conditions for the solvability of this problem are proposed in terms of LMIs, and an explicit expression of the desired controller is readily given when these LMIs are feasible.
386
Abstract: Based on particle swarm optimization algorithm, this paper presents a grid scheduling optimization algorithm combing the advantages of Ant Colony optimization algorithm. The algorithm processes task scheduling through particle swarm optimization algorithm to get a group of relatively optimal solutions, and then conducts small-area local search with Ant Colony optimization algorithm. Theoretical analysis and results of the simulation experiments show that this scheduling algorithm effectively achieves load balancing of resources with comprehensive advantages in time efficiency and solution accuracy compared to the traditional Ant Colony optimization algorithm and particle swarm optimizationalgorithm, and can be applied to task scheduling in grid computing.
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