Papers by Keyword: Weights

Abstract: In recent times, electricity has become a great necessity for everyone and almost everything around the globe. The ever-growing population and increase in electronic devices have increased the rate of energy consumption. In a bid to meet this demand, all forms of energy are utilized and still undergoing research. This work aims at generating and harvesting electrical energy by converting mechanical energy from pressure exerted (footsteps) on the material into electricity by a phenomenon called piezoelectricity. A group of 40 piezoelectric crystals were constructed and connected via a parallel connection of 5 by 8. The piezoelectric crystals showed different results to varying weights and oscillations at a fixed time. These results were visible on the plot of voltage generated versus weight and on the plot of voltage generated to number of steps. These graphs showed that the greater the weight the more voltage and also more voltage is generated with increase in number of footsteps.

Abstract: It is a common practice to assign weights to customer needs in Requirements Engineering. However, there are three hidden traps underlying this practice, which may lead to distortion of customer preferences. Aiming to mitigate these traps, a three-step approach based on group decision analysis is proposed. In the 1st step, real customer needs are identified and structured. Then, measurable attributes are identified for each customer need and used as the input parameters to establish a multi-attribute utility function for individuals. In the 3rd step, customer group’s different preferences are derived from individual customer’s preference to determine a final weight for each customer need. The approach is validated through a case study.

Abstract: In wireless sensor networks (WSNs), estimation of the location of the unknown node based on the average hop distance is an important research problem for range free localization algorithm. As one of the range free algorithm, DV-Hop chooses the average hop distance comes from the nearest beacon, can't reflect the real status of WSNs. We observe that the unknown node can achieve the precise location when one feedback channels are built between the unknown node and the beacons which embedded accurate location. Based on this observation, we propose one improved DV-Hop localization algorithm based on feedback mechanism (FDV-Hop). Using DV-Hop, the unknown node achieves the estimated location, and broadcasts its average hop distance to the beacons. The beacons also use DV-Hop to calculate their location based on the average hop distance from the unknown node. Then the beacons calculate the difference between the estimated location and the real location, and send the difference between them to unknown node with weights setting. The unknown node recalculates its location which involving the difference of location and the weights. The simulation shows that FDV-Hop can reduce the average localization error effectively and keep the localization stable.