Parameter determination is an important task in the development of biological models. In this paper we consider parametric polynomial dynamical systems and address the following parameter synthesis problem: find a set...
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ISBN:
(纸本)9781450327329
Parameter determination is an important task in the development of biological models. In this paper we consider parametric polynomial dynamical systems and address the following parameter synthesis problem: find a set of parameter values so that the resulting system satisfies a desired property. Our synthesis technique exploits the Bernstein polynomial representation to solve the synthesis problem using linear programming. We apply our framework to two case studies involving epidemic models. Copyright 2014 ACM.
the multidimensional process of physical, psychological, and social change produced by population ageing affects not only the quality of life of elderly people but also of our societies. Some dimensions of population ...
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the benefit of a hybrid system is strongly dependant on the system design and the control strategy that will be used. this paper suggests a method to evaluate the optimal control strategy of a hybrid electrical system...
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ISBN:
(纸本)9781849198158
the benefit of a hybrid system is strongly dependant on the system design and the control strategy that will be used. this paper suggests a method to evaluate the optimal control strategy of a hybrid electrical system to optimize its design from the point of view of fuel consumption taking into account this interaction. Analytic models are used to describe the system and the interactions between components. A first optimization is made to minimize fuel consumption using one system configuration on a typical consumption cycle. this algorithm is ready to be using with a higher level algorithm in order to find an appropriate design of the system.
In this paper, we discuss the problem of pricing one exotic option, the strong path dependent Asian option using the Black-Scholes model and compare how the pricing algorithm can map into different many-core architect...
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this paper presents an extension of the two-stage transportation planning problem for a large scale hydropower construction project where bi-level programming and a balance of the satisfactory degree between decision ...
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ISBN:
(纸本)9781479953721
this paper presents an extension of the two-stage transportation planning problem for a large scale hydropower construction project where bi-level programming and a balance of the satisfactory degree between decision makers are considered. For solving the complex and non-linear bi-level programming model, an interactive fuzzy programming technique and a particle swarm optimization with passive congregation algorithm are designed as a combined solution approach. Finally, the results and analysis of a practical example are presented to demonstrate the practicality and efficiency of the proposed model and optimization method.
Stability of solution sets for a group multiobjective programming problem in Banach space is studied. Some conditions for the stability of the group multiobjective programming are given. Using these conditions, stabil...
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ISBN:
(纸本)9781479953721
Stability of solution sets for a group multiobjective programming problem in Banach space is studied. Some conditions for the stability of the group multiobjective programming are given. Using these conditions, stability results of major joint cone weakly efficient point sets and joint cone weakly efficient solution sets in the sense of semi-continuance are obtained with respect to the decision making variable perturbation and objective order perturbation respectively and at the same time
Cloud providers aim to provide computing services for a wide range of applications, such as web applications, emails, web searches, and map reduce jobs. these applications are commonly scheduled to run on multi-purpos...
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ISBN:
(纸本)9781479978816
Cloud providers aim to provide computing services for a wide range of applications, such as web applications, emails, web searches, and map reduce jobs. these applications are commonly scheduled to run on multi-purpose clusters that nowadays are becoming larger and more heterogeneous. A major challenge is to efficiently utilize the cluster's available resources, in particular to maximize overall machine utilization levels while minimizing application waiting time. We studied a publicly available trace from a large Google cluster (similar to 12,000 machines) and observed that users generally request more resources than required for running their tasks, leading to low levels of utilization. In this paper, we propose a methodology for achieving an efficient utilization of the cluster's resources while providing the users with fast and reliable computing services. the methodology consists of three main modules: i) a prediction module that forecasts the maximum resource requirement of a task;ii) a scalable scheduling module that efficiently allocates tasks to machines;and iii) a monitoring module that tracks the levels of utilization of the machines and tasks. We present results that show that the impact of more accurate resource estimations for the scheduling of tasks can lead to an increase in the average utilization of the cluster, a reduction in the number of tasks being evicted, and a reduction in task waiting time.
A joint optimization problem of power allocation and computational functions for the advanced cooperation scheme, Compute-and-Forward, is analyzed, and an iterative algorithm to solve this problem is also introduced. ...
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In recent years, cloud computing has been an important issue in the Field of research. Cloud computing employs distributed storage and distributed computing technology to achieve a large number of stored data, as well...
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ISBN:
(纸本)9781479942664
In recent years, cloud computing has been an important issue in the Field of research. Cloud computing employs distributed storage and distributed computing technology to achieve a large number of stored data, as well as fast data analysis and processing. As the rapid development of Internet technology, digital data showing explosive growth, the face of massive data processing, the traditional text software and relational database technology has been facing a bottleneck, presented the results are not very satisfactory. For this problem, the concept of cloud computing is a more appropriate choice. In this paper, based on the architecture of Hadoop with HDFS (Hadoop Distributed File System) and Hadoop NlapRecluce software framework and Pig Latin language, we design and implement an enterprise Web log analysis system. Experimental results, by analyzing daily Web log records, we get Application Server traffic trends, performance of program statistical reports, and performance reports of different intervals and different actions of program by user request. the main purpose of this system is to assist system administrators to quickly capture and analyze data hidden in the massive potential value, thus providing an important basis for business decisions.
the scope of the paper is the design of laboratories in consideration of modern technologies and modern manners of work: ways of shaping and arranging laboratory facilities, depending on the equipment and process tech...
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