• Training error as the objective function causes overfitting for autoencoders. A short-term electric load forecasting model with D-LiSSA is proposed. performance evaluated using four real-world public electricity datasets. Increased accuracy by 63.20% compared to state-of-the-art models. This paper presents a based on deep autoencoder localized stochastic sensitivity (D-LiSSA). can learn infor...

With the implementation of competitive electricity supply system all over the world, there is the need of optimal utilization of the existing generation sources at the same time to curtail the generation from the conventional power plants and add the renewable sources generation looking into the environmental concern and limitation of the fossil fuels. This has lead to the motivation for the st...

CONTEXT Increased liver fat (LF) is associated with insulin resistance. However, a considerable individual variability between LF and insulin sensitivity (IS) is observed, and at equal levels of LF, insulin-resistant as well as insulin-sensitive individuals are found. OBJECTIVE Our objective was to study whether hepatic iron load (HIL) explains some of the variation between IS and LF. DESIG...

Cylindrical Frictional Damper (CFD) is a new revolutionary frictional based mechanical damper. Unlike the other types of frictional dampers, CFDs do not utilize bolts to produce friction between contact surfaces. These dampers consist of two main parts, the inner shaft and the external cylinder. These two parts are assembled such that one is shrink-fitted inside the other. In this investigation...

In this paper we present a hydraulic load cell made from hydroformed metallic bellows. The load cell was designed for a small kitchen appliance with the weighing function integrated into the composite control and protection of the appliance. It is a simple, low-cost solution with small dimensions and represents an alternative to the existing hydraulic load cells in industrial use. A good non-li...

We present an approach to the problem of load balancing on networks of nodes. Our approach is inspired by the phenomenon of negative chemotaxis in living systems. We use a diffusing signal (which is emitted by load, and moves faster than the load) to guide the movement of load towards the balanced state. Our reference system (for comparison) is unguided, diffusing load, moving at the same speed...

Load sharing improves performance of distributed systems by distributing load from heavilyloaded nodes to lightly-loaded nodes in the system. We consider two basic dynamic load sharing policies: sender-initiated and receiver-initiated. In the sender-initiated policy, a heavily-loaded node attempts to transfer work to a lightly-loaded node and in the receiver-initiated policy a lightlyloaded nod...