-In this paper, data mining and its techniques are represented to provide a platform for the efficient functioning of the data of power station. Data mining techniques are used to enhance the efficiency of the proposed application. A huge amount of practically operational current and historical data stored in the plant is used to optimize the operational parameters for less resource consumption...

In this position paper, we consider some foundational topics regarding smart contracts (such as terminology, automation, enforceability, and semantics) and define a smart contract as an agreement whose execution is both automatable and enforceable. We explore a simple semantic framework for smart contracts, covering both operational and non-operational aspects. We describe templates and agreeme...

Pressure regulators are the most important components of gas distribution networks. Operational optimization and failure-mode analyses of these networks require simple and reliable models for pressure regulators. Using dynamic operational data, a novel approach to model a pressure regulator is presented. A pressure regulator is modelled as a virtual feedback control system, with a control valve...

A multi-pixel laser altimeter using pseudo-randomnoise-modulated fiber lasers has been developed for Climate Change research and Exploration. The architecture supports a wide set of operational parameters (range resolution, range ambiguity interval, temporal update rate) without modifications to the hardware. These parameters can be changed dynamically, based on mission operational needs. The i...

Operational modal analysis deals with the estimation of modal parameters using vibration data obtained from unknown or ambient excitation sources in operational rather than laboratory conditions. The paper compares three operational modal parameter identification approaches for identifying modal parameters of a multi-span concrete motorway bridge when subjected to either ambient or broad-band l...