This paper studies how the price movements of pork,chicken and egg respond to those of related cost factors in short terms in Chinese *** employ a linear quantile approach not only to explore potential data heterosced...
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This paper studies how the price movements of pork,chicken and egg respond to those of related cost factors in short terms in Chinese *** employ a linear quantile approach not only to explore potential data heteroscedasticity but also to generate confidence bands for the purpose of price stability *** then evaluate our models by comparing the prediction intervals generated from the quantile regression models with in-sample and out-of-sample *** monthly data from January 2000 to October 2010,we observed these findings:(i) the price changes of cost factors asymmetrically and unequally influence those of the livestock across different quantiles;(ii) the performance of our models is robust and consistent for both in-sample and out-of-sample forecasts;(iii) the confidence intervals generated from 0.05th and 0.95th quantile regression models are good methods to forecast livestock price fluctuation.
Sensor nodes in wireless networks often use batteries as their source of energy, but replacing or recharging exhausted batteries in a deployed network can be difficult and costly. Therefore, prolonging battery life be...
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To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mo...
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Through idealized experiments, this study is to test the performance of multi-grid three-dimensional variantional (3D-Var) on three-dimensional (3D) Doppler radar radial velocity data assimilation, and to what degree ...
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With the rapid development of service-oriented computing (SOC) and service-oriented architecture (SOA), the number of services is rapidly increasing. How to organize and manage services effectively in repositories to ...
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This paper aims to construct and analyze an original logical difference based on the quantitative approximation operators. According to the variable precision lower approximation operator and graded upper approximatio...
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Grade serves as a fundamental quantitative index, and the graded rough set model is a basic model. Thus, this paper aims to investigate an original logical difference in the graded rough set model. According to the sp...
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Test power consumption is becoming a major concern in low power integrated circuits(ICs). This paper presents a revised low power compression architecture for scan test. In this paper, the variance in power consumptio...
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Cloud computing is an emerging paradigm and it has been accepted and researched widely both in industry and academic fields. Instance-intensive workflows are workflows with a great number of concurrent instances;they ...
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Cloud computing is an emerging paradigm and it has been accepted and researched widely both in industry and academic fields. Instance-intensive workflows are workflows with a great number of concurrent instances;they are typical applications in cloud computing environment. However, cloud resources consist of unreliable servers;it becomes increasingly important to provide reliable scheduling strategy. Considering unreliable cloud resources and QoS requirements of instanceintensive workflows, we propose Trust-drive Minimize Cost Within Deadline (TD-MCWD) scheduling algorithm. On the one hand, the TD-MCWD algorithm staggers deadlines of the large number of concurrent instances of the same nature, expecting to get cheaper and more intensively competitive resources. On the other hand, considering the risk factors on the basis of resource reliability was estimated by trust model, the TD-MCWD algorithm tends to assign the task to the high reliable resource. Simulation experiment shows TD-MCWD algorithm can reduce the rate of delayed instance completion and the average execution cost of successful instance completion. Besides, TD-MCWD has a better load balancing and shows a better performance.
With the dramatic increase in network speed during the past ten years, network processing efficiency has been significantly decreased. In this paper, we propose a network accelerating scheme, which employs cache locki...
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