Reliability is concerned with the system capability of survival. In the past forty years, customer expectations have been increasing in response to evolving new technologies. As part of these evolutions, they are demanding from their suppliers: products with higher quality, low initial cost, improved customer support and products that are easy and inexpensive to maintain. For a supplier to surv...

Parallel Computational Science and Engineering (CSE) applications often exhibit irregular structure and dynamic load patterns. Many such applications have been developed using MPI. Incorporating dynamic load balancing techniques at the application-level involves significant changes to the design and structure of applications. On the other hand, traditional run-time systems for MPI do not suppor...

A simple model of a raft made of spaced nano-cylinders is formulated and discussed, in order to improve the understanding of load-carrying capacity of insects and miniature devices that float on liquids. It is shown that mostly the outer cylinders of the raft determine the load-carrying capacity. Therefore, the raft porosity (spacing of the cylinders) is instrumental mainly in increasing the lo...

Short-term power load forecasting is an important basis for the operation of integrated energy system, and the accuracy of load forecasting directly affects the economy of system operation. To improve the forecasting accuracy, this paper proposes a load forecasting system based on wavelet least square support vector machine and sperm whale algorithm. Firstly, the methods of discrete wavelet tra...

Keeping track of various amounts of social cognitive information, including people's mental states, traits, and relationships, is fundamental to navigating social interactions. However, to date, no research has examined which brain regions support variable amounts of social information processing ("social load"). We developed a social working memory paradigm to examine the brain networks sensit...

Recently, researchers started using cognitive load in various settings, e.g., educational psychology, cognitive load theory, or human– computer interaction. Cognitive load characterizes a tasks’ demand on the limited information processing capacity of the brain. The widespread adoption of eye–tracking devices led to increased attention for objectively measuring cognitive load via pupil dilation...

The recent financial crisis showed the need for more robust decision support systems. In this paper, we introduce a novel type of recurrent artificial neural network, the shared layer perceptron, which allows forecasts that are robust by design. This is achieved by not over-fitting to a specific variable. An entire market is forecast. By training not one, but many networks, we obtain a distribu...

Wind energy prediction has an important part to play in a smart energy grid for load balancing and capacity planning. In this paper we explore, if wind measurements based on the existing infrastructure of windmills in neighbored wind parks can be learned with a soft computing approach for wind energy prediction in the ten-minute to six-hour range. For this sake we employ Support Vector Regressi...

The major part of environments for parallel programming in distributed systems either neglects load distribution support or realizes load distribution by the trivial task farming paradigm. This paper presents new language concepts for the support of application integrated load distribution. In addition to the task farming approach, the system can also dynamically migrate objects. Active objects...

Work of breathing per minute, or power of breathing (POB), reflects the balance between patient spontaneous breathing demand (driven by metabolic and neural factors) and the support provided by the ventilator. Increases in respiratory muscle loading and, thus, POB result primarily from increased physiologic elastance and resistance. Because compliance is the reciprocal of elastance, as total co...