This study was designed to assess the impact of social support on poststressor cognitive impairment, with the goal of providing a laboratory test of the buffering hypothesis of social support. High or low support was operationahzed as the warm or the neutral behavior of an interviewer, which preceded the experimental stressor, high or low task load Subjects were 32 nonpsychotic female psychiatr...

In energy demand forecasting, the objective function is often symmetric, implying that over-prediction errors and under-prediction have same consequences. practice, these two types of generally incur very different costs. To accommodate this, we propose a machine learning algorithm with cost-oriented asymmetric loss in training procedure. Specifically, develop new support vector regression inco...

Physical and mechanical regularities in the effect of certain processing operations on the shape and roughness of the hydraulic cylinder surface are found. The mechanisms of the spatial self-organization of the relief and surface of bearings under conditions of false brinelling are summarized and analyzed. The data obtained can be used for further scientific generalization or prediction and dia...

in the current engineering practices, buildings are commonly designed for an effective lifetime of 50 years. this lifetime can increase the cost of buildings with short lifetimes and can reduce the safety level of buildings with large lifetimes. in this paper, a “service-life factor” has been defined. applying this factor into the nominal values of live, earthquake, wind, and snow loads, the ef...

The forecasting to mid-long term load is important because it can provide important evidence to the power planning. Traditional forecast techniques apply a single forecaster to carry out the task. However, this forecaster might not be the best for all situations or databases. A combinational model on the basis of Support Vector Machine (SVM) theory is proposed in this paper. During the process ...

A new method of reducing the computational load in decision functions provided by a support vector classification machine is studied. The method exploits the geometrical relations when the kernels used are based on distances to obtain bounds of the remaining decision function and avoids to continue calculating kernel operations when there is no chance to change the decision. The method proposed...

—In the current cloud computing environment, the size of the server cluster in the data center is growing in response to the increasing traffic. Due to the use of multiple replicas in the server cluster to provide the same services, effective load balancing as a key technology is very important. In this paper we implement and evaluate an alternative loadbalancing architecture using OpenFlow sw...