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In this paper, we propose a cost-effective hardware design for acquiring high-resolution energy data from electricity mains to observe appliance switching transients. By utilizing these distinct appliance switching transients, we are interested to predict all appliances operating in a building and also estimate their power consumption. The proposed design fulfills the data acquisition requirements...
Various disruptive technologies have evolved a paradigm for setting up the Internet-of-Everything (IoE) and continuous evolution of technologies has demanded those devices to communicate and exchange information with each other. The marketing research company Gartner has surveyed and estimated that around 30 billion devices would be interconnected and exchanging information by 2020. The IoE is accompanied...
This paper presents a design framework based on a centralized scalable architecture for effective simulated aerial threat perception. In this framework data mining and pattern classification techniques are incorporated. This paper focuses on effective prediction by relying on the knowledge base and finding patterns for building the decision trees. This framework is flexibly designed to seamlessly...
Growing needs to achieve excellence in decision making under ethical dilemma has provoked the researchers to struggle and propose various models for handling such tricky and sensitive situations. The focus of this paper is made on the understanding of ethics, ethical dilemma and its affects on decision making. Various models proposed by several researchers are reviewed to understand the necessary...
The efficient use of energy is becoming a social issue due to resource depletion and increase of energy cost. As a result of this change, many kinds of energy management systems like Smart Grid, which are based on ubiquitous networks, are being proposed in the field of building, home and factory automation. Moreover amongst these specific fields, lighting is a common part, from which significant amount...
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