In this paper we present a comparison of different data driven modeling methods. the first instance of a data driven linear Bayesian model is compared with several linear regression models, a Kriging model and a genet...
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Most DEA models were initially considered only for crisp desirable inputs and outputs;but in the real world data have imprecise value;fuzzy concept is too important as imprecise and undesirable data. Moreover, the dec...
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ISBN:
(纸本)9781509006656
Most DEA models were initially considered only for crisp desirable inputs and outputs;but in the real world data have imprecise value;fuzzy concept is too important as imprecise and undesirable data. Moreover, the decision making units may have been some inputs and outputs index such undesirable data. therefore, in this study, we introduce a method to evaluate revenue efficiency of DMUs when the data are desirable and undesirable in fuzzy DEA. For this purpose, we apply alpha - cut method and extension principle and obtain lower and upper bounds per each alpha is an element of[0,1] provides for assessment of revenue efficiency;thus, the amount of fuzzy revenue efficiency is greater than one. Finally, a numerical example is presented for application of proposed method.
Recently due to the increasing pressure to improve the efficiency of port operations, a great deal of research has been devoted to optimizing container terminal operations. Most papers deal with either the berth alloc...
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In this work, we evaluate several emerging parallel programming models: Kokkos, RAJA, OpenACC, and OpenMP 4.0, against the mature CUDA and OpenCL APIs. Each model has been used to port Tealeaf, a miniature proxy appli...
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In this work, we evaluate several emerging parallel programming models: Kokkos, RAJA, OpenACC, and OpenMP 4.0, against the mature CUDA and OpenCL APIs. Each model has been used to port Tealeaf, a miniature proxy application, or mini app, that solves the heat conduction equation and belongs to the Mantevo Project. We find that the best performance is achieved with architecture-specific implementations but that, in many cases, the performance portable models are able to solve the same problems to within a 5% to 30% performance penalty. While the models expose varying levels of complexity to the developer, they all achieve reasonable performance withthis application. As such, if this small performance penalty is permissible for a problem domain, we believe that productivity and development complexity can be considered the major differentiators when choosing a modern parallel programming model to develop applications like Tealeaf.
Recovering underlying low-rank structure of clean data corrupted with sparse noise/outliers has been attracting increasing interest. However, in many low-rank problems, neither the exact rank of estimated matrix nor t...
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ISBN:
(纸本)9781509035557
Recovering underlying low-rank structure of clean data corrupted with sparse noise/outliers has been attracting increasing interest. However, in many low-rank problems, neither the exact rank of estimated matrix nor the particular locations as well as the values of outliers is known. the conventional methods fail to separate the low-rank and sparse component, especially gross outliers. So we exploit the advantage of minimum description length principle and atomic norm to overcome the above limitations. In this paper, we first apply atomic norm to find all the candidate atoms of low-rank and sparse term respectively, and then minimize the description length of model as well as residual, in order to select the appropriate atoms of low-rank and the sparse matrix. the experimental results based on synthetic data sets demonstrate the effectiveness of the proposed method.
Withthe rapid development of computer technology, the computer has gradually become an indispensable part of people's lives. All kinds of programming language of computer have been mastered and used by more peopl...
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Withthe rapid development of computer technology, the computer has gradually become an indispensable part of people's lives. All kinds of programming language of computer have been mastered and used by more people, however, the function is more and more strong, the use is also very convenient, the process of the development of software has also become more complex, so the quality of the software is also very difficult to be guaranteed to a certain extent. And the method of system engineering is mainly aimed at the disadvantages and the solution to the problem in computer development software design. Because of its complexity, great attention must be paid to the application in computer software design. Because of the importance of this problem, at present, there are also many professional articles about the problem of the development of large software project. the purpose of this paper is to improve the quality and efficiency of computer software by studying the method of system engineering.
the proceedings contain 10 papers. the topics discussed include: towards the prediction of the performance and energy efficiency of distributed data management systems;performance testing in software development: gett...
ISBN:
(纸本)9781450341479
the proceedings contain 10 papers. the topics discussed include: towards the prediction of the performance and energy efficiency of distributed data management systems;performance testing in software development: getting the developers on board;tutorial on challenges for big data application performance tuning and prediction;a constraint programming based energy aware resource management middleware for clouds processing MapReduce jobs with deadlines;automated analysis of load test results of systems with equilibrium or transient behavior;performance engineering for in-memory databases: models, experiments and optimization;challenges in truly scaling services;monitoring-based testing of elastic cloud computing applications;big data applications performance assurance;challenges in applying control theory to software performance engineering for adaptive systems;and performance mimicking benchmarks for multi-tier applications.
Single object tracking can be focused on two phases under the particle filter framework: one is sparse representation, which can be regarded as a matching evaluation;the other is template update, which can be regarded...
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ISBN:
(纸本)9781509035557
Single object tracking can be focused on two phases under the particle filter framework: one is sparse representation, which can be regarded as a matching evaluation;the other is template update, which can be regarded as the appearance changes of the target. Template update is the most direct and basic phase to ensure a high quality tracking. However, most template update schemes can not capture the latest appearance of the target, thereby leading to a low quality tracking. In this paper, we propose a new template update scheme, which can obtain the latest trends of the target. the experimental results on popular benchmark video sequences show that the proposed template update scheme is feasible and effective.
作者：
Zahmatkesh, F.Cao, Bing-yuanGuangzhou Univ
Higher Educ Inst Key Lab Math & Interdisciplinary Sci Guangdong Sch Math & Informat Sci Guangzhou 510006 Guangdong Peoples R China Guangzhou Univ
Guangzhou 510550 Guangdong Peoples R China
In this paper we consider the solution method for fuzzy fractional posynomial geometric programming (FFPGP) problems. the problem of concern involves positive trapezoidal fuzzy numbers in the objective function. the p...
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ISBN:
(纸本)9783319191058;9783319191041
In this paper we consider the solution method for fuzzy fractional posynomial geometric programming (FFPGP) problems. the problem of concern involves positive trapezoidal fuzzy numbers in the objective function. the proposed approach relies on posing the FFPGP problem as a multi-objective posynomial geometric programming (MOPGP) problem by using simple transformation and condense technique. An illustrative example is included to demonstrate the correctness of the proposed solution algorithm.
the ongoing many-core design aims at core counts where cache coherence becomes a serious challenge. therefore, this paper discusses how one-sided communication and the required process synchronization can be realized ...
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the ongoing many-core design aims at core counts where cache coherence becomes a serious challenge. therefore, this paper discusses how one-sided communication and the required process synchronization can be realized on a non-cache-coherent many-core CPU. the Intel Single-chip Cloud Computer serves as an exemplary hardware architecture. the presented approach is based on software-managed cache coherence for MPI one-sided communication. the prototype implementation delivers a PUT performance of up to 5 times faster than the default message-based approach and reveals a reduction of the communication costs for the NAS Parallel Benchmarks 3-D fast Fourier Transform by a factor of 5. Further, the paper derives conclusions for future non-cache-coherent architectures.
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