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Power management is an important concern in sensor networks, because a tethered energy infrastructure is usually not available and an obvious concern is to use the available battery energy efficiently. However, in some of the sensor networking applications, an additional facility is available to ameliorate the energy problem: harvesting energy from the(More)
Sustainable operation of battery powered wireless embedded systems (such as sensor nodes) is a key challenge, and considerable research effort has been devoted to energy optimization of such systems. Environmental energy harvesting, in particular solar based, has emerged as a viable technique to supplement battery supplies. However, designing an efficient(More)
Harvesting energy from the environment is feasible in many applications to ameliorate the energy limitations in sensor networks. In this paper, we present an adaptive duty cycling algorithm that allows energy harvesting sensor nodes to autonomously adjust their duty cycle according to the energy availability in the environment. The algorithm has three(More)
Energy harvesting offers a promising alternative to solve the sustainability limitations arising from battery size constraints in sensor networks. Several considerations in using an environmental energy source are fundamentally different from using batteries. Rather than a limit on the total energy, harvesting transducers impose a limit on the instantaneous(More)
Hedge fund managers are often compensated via management fees on the assets under management (AUM) and incentive fees indexed to the high-water mark (HWM). We develop an analytically tractable model of hedge fund leverage and valuation where the manager maximizes the present value (PV) of future management and incentive fees from current and future managed(More)
Social informatics is the core of Facebook's business and is its most valuable asset which consists of the social graph and the private data of over 500 million users. However, without secure methods of managing this data, Face book has become vulnerable to privacy risks and devaluation. In Facebook's model, users are asked upon access to grant applications(More)
T raditional strategic asset allocation theory is deeply rooted in the mean–variance portfolio optimization framework developed by Markowitz [1952] for constructing equity portfolios. However, the mean–variance optimization methodology is difficult to implement due to the challenges associated with estimating the expected returns and covariances for asset(More)
Study of individual elbow muscles' mechanical actions is important in understanding the muscles' fundamental roles in performing various motor tasks. It also helps us gain insights into the compensatory mechanisms for elbow injuries like the ulnar collateral ligament (UCL) injury, which is a common sports-related injury. The mechanical actions of individual(More)