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A home-based intelligent energy conservation system needs to know what appliances (or loads) are being used in the home and when they are being used in order to provide intelligent feedback or to make intelligent decisions. This analysis task is known as load disaggregation or non-intrusive load monitoring (NILM). The datasets used for NILM research(More)
Understanding how appliances in a house consume power is important when making intelligent and informed decisions about conserving energy. Appliances can turn ON and OFF either by the actions of occupants or by automatic sensing and actuation (e.g., thermostat). It is, also, difficult to understand how much a load consumes at any given operational state.(More)
The smart meter is often heralded as the key component supporting energy displays that can notify home occupants of their energy usage. But, a smart meter is only a digital power meter with enhanced communications capabilities - it is not actually smart. We need to look beyond the smart meter and define what intelligence is needed to actually make a meter(More)
Sustainable energy supply and demand can partially be solved by the conservation of energy, which is a personal and self-driven action. However, energy conservation currently requires the purchase of third-party products. The upfront cost of purchasing these products to monitor energy consumption in a home is a barrier that further cements the divide of(More)
Utility companies around the world are replacing electro-mechanical power meters with new smart meters. These digital power meters have enhanced communication capabilities, but they are not actually smart. We present the cognitive power meter (c-meter), a meter that is actually smart. By using load disaggregation intelligence, c-meter is the realization of(More)
Real-time measurements and display of vitals are integral part of patients health monitoring with limited resources. Wireless sensor networks that communicate in a mesh acquire and transmit such critical parameters, making a medical environment efficient. With limited resources, both equipment and medical staff, the system must be reliable, and capable of(More)
Cognitive Radio is a novel method of radio communication which enables more efficient use of the frequency spectrum. This efficiency is achieved by dynamically allocating frequency bands within the spectrum to different users. Within the field of Cognitive Radio, many different aspects of the system must be considered in order to achieve an optimal system.(More)
Microstrip patch antenna has extensive applications in areas requiring light weight and low profile antenna sub system. Differential Evolution (DE) algorithm and Cuckoo Search (CS) algorithm are modern optimization algorithms used here for determining the design parameters of microstrip antenna. In literature, there does not exist any direct relation(More)
Reduction of higher order harmonic modes of the fundamental operating frequency in a wearable microstrip antenna has been proposed. Controlling harmonics in the microstrip antenna has been implemented by integrating simple I shaped resonator at the microstrip feed line. As a result higher order modes occurring between the fundamental resonating frequency(More)
Under most circumstances, cyber criminals will commit fraudulent transactions using proxy services which hide their real IP address and physical location. This is done in an effort to avoid being tracked and prosecuted by law enforcement agencies. This paper presents the investigation of a proxy detection methodology and efforts to implement such technology(More)