Predictive Duty Cycle Adaptation for Wireless Camera Networks

Wireless sensor networks (WSN) typically employ dynamic duty cycle schemes to efficiently handle different patterns of communication traffic in the network. However, existing duty cycling approaches are not suitable for event-driven WSN, in particular, camera-based networks designed to track humans and objects. A characteristic feature of such networks is the spatially-correlated bursty traffic that occurs in the vicinity of potentially highly mobile objects. In this paper, we propose a concept of indirect sensing in the MAC layer of a wireless camera network and an active duty cycle adaptation scheme based on Kalman filter that continuously predicts and updates the location of the object that triggers bursty communication traffic in the network. This prediction allows the camera nodes to alter their communication protocol parameters prior to the actual increase in the communication traffic. Our simulations demonstrate that our active adaptation strategy outperforms TMAC not only in terms of energy efficiency and communication latency, but also in terms of TIBPEA, a QoS metric for event-driven WSN

An Economic Analysis of Adult Obesity: Results from the Behavioral Risk Factor Surveillance System

Since the late 1970s, the number of obese adults in the United States has grown by over 50 percent. This paper examines the factors that may be responsible for this rapidly increasing prevalence rate. To study the determinants of adult obesity and related outcomes, we employ micro-level data from the 1984-1999 Behavioral Risk Factor Surveillance System. These repeated cross sections are augmented with state level measures pertaining to the per capita number of fast- food restaurants, the per capita number of full-service restaurants, the price of a meal in each type of restaurant, the price of food consumed at home, the price of cigarettes, clean indoor air laws, and hours of work per week and hourly wage rates by age, gender, race, years of formal schooling completed, and marital status. Our main results are that these variables have the expected effects on obesity and explain a substantial amount of its trend. These findings control for individual-level measures of household income, years of formal schooling completed, and marital status.

A Parallel Histogram-based Particle Filter for Object Tracking on SIMD-based Smart Cameras

We present a parallel implementation of a histogram-based particle filter for object tracking on smart cameras based on SIMD processors. We specifically focus on parallel computation of the particle weights and parallel construction of the feature histograms since these are the major bottlenecks in standard implementations of histogram-based particle filters. The proposed algorithm can be applied with any histogram-based feature sets—we show in detail how the parallel particle filter can employ simple color histograms as well as more complex histograms of oriented gradients (HOG). The algorithm was successfully implemented on an SIMD processor and performs robust object tracking at up to 30 frames per second—a performance difficult to achieve even on a modern desktop computer

Size tunable visible and near-infrared photoluminescence from vertically etched silicon quantum dots

Corrugated etching techniques were used to fabricate size-tunable silicon quantum dots that luminesce under photoexcitation, tunable over the visible and near infrared. By using the fidelity of lithographic patterning and strain limited, self-terminating oxidation, uniform arrays of pillar containing stacked quantum dots as small as 2 nm were patterned. Furthermore, an array of pillars, with multiple similar sized quantum dots on each pillar, was fabricated and tested. The photoluminescence displayed a multiple, closely peaked emission spectra corresponding to quantum dots with a narrow size distribution. Similar structures can provide quantum confinement effects for future nanophotonic and nanoelectronic devices

Fingerprints of Random Flows?

We consider the patterns formed by small rod-like objects advected by a random flow in two dimensions. An exact solution indicates that their direction field is non-singular. However, we find from simulations that the direction field of the rods does appear to exhibit singularities. First, ` scar lines' emerge where the rods abruptly change direction by $\pi$. Later, these scar lines become so narrow that they ` heal over' and disappear, but their ends remain as point singularities, which are of the same type as those seen in fingerprints. We give a theoretical explanation for these observations.Comment: 21 pages, 11 figure

Origins of Common Neural Inputs to Different Compartments of the Extensor Digitorum Communis Muscle

The extensor digitorum communis (EDC) is a multi-compartment muscle that allows dexterous extension of the four digits. However, the level of common input shared across different compartments of this muscle is not well understood. We seek to systematically characterize the common and independent neural input, originated from different levels of the central nervous system, to the different compartments. A motor unit (MU) coherence analysis was used to capture the different sources of common and independent input, by quantifying the coherence of MU discharge between different compartments. The MU activities were obtained from decomposition of surface electromyogram recordings. Our results showed that the MU coherence across different muscle compartments accounted for only a small proportion (60%) in the delta (1-4 Hz) band. Additionally, cross-compartment coherence between the middle and ring-little fingers tended to be higher as compared with other finger combinations. Overall, the common input shared across different fingers are found to be at low to moderate levels, in comparison with the total input, which allows dexterous control of individual digits with some degree of coordinated control of multiple digits

Membrane-bound delta-like 1 homolog (Dlk1) promotes while soluble Dlk1 inhibits myogenesis in C2C12 cells

AbstractDelta-like 1 homolog (Dlk1) is important in myogenesis. However, the roles of different Dlk1 isoforms have not been investigated. In C2C12 cell lines producing different Dlk1 isoforms, membrane-bound Dlk1 promoted the hypertrophic phenotype and a higher fusion rate, whereas soluble Dlk1 inhibited myotube formation. Inversed expression patterns of genes related to myogenic differentiation further support these phenotypic changes. In addition, temporal expression and balance between the Dlk1 isoforms have a regulatory role in myogenesis in vivo. Collectively, Dlk1 isoforms have distinctive effects on myogenesis, and its regulation during myogenesis is critical for normal muscle development

Transcutaneous Nerve Bundle Stimulation for Dexterous Hand Grasp Patterns: Development and Exploration of an Alternative Stimulation Method

Impairment of the hand following a neurological injury such as stroke is a major contributing factor to the loss of independence and self-sufficiency. Neuromuscular Electrical Stimulation (NMES) is a widely utilized technique to help alleviate lost muscle strength by electrically eliciting muscle contractions. However, conventional NMES applied directly over the muscle belly often faces various limitations, which prevent long-term use and efficacy. Traditional NMES techniques induce rapid muscle fatigue due to non-physiological activation of fibers resulting in a decline of muscle force. For the hand, stimulation at the skin surface typically only activates the superficial extrinsic hand muscles, leading to limited multi-joint control. To overcome these limitations, we sought to develop an alternative stimulation technique that used a high-density surface electrode array to directly target major nerve bundles at a location more proximal to the muscles. First, we designed an automated stimulation paradigm to characterize the different patterns of finger flexion elicitable via the nerve stimulation method. Randomized pairs in the electrode array were used to search for the best stimulation locations. We demonstrated that the nerve stimulation can generate a variety of single and multi-finger flexion patterns, with selective sets of nerve fiber activation and high activation redundancy. Secondly, we compared the force sustainability of the proximal nerve stimulation with conventional muscle belly stimulation. We found that, with prolonged force-matched stimulations, the proximal nerve stimulation technique can significantly delay the decline of force production over time, which allowed us to elicit sustained muscle force output. Lastly, we investigated the ability of the proximal nerve stimulation to activate both the superficial and deep extrinsic finger flexors. We obtained ultrasound images of the cross section of the flexor muscles in the forearm, and image deformation was used as a surrogate measure of muscle contraction. We found that superficial and deep muscles could be separately or concurrently activated. Overall, this work demonstrated the appealing features of our nerve stimulation method in selectively recruiting different finger flexor muscles with sustained activation. The outcomes also lay the theoretical foundation for further development of proximal nerve stimulation as an alternative approach for effective hand rehabilitation.Doctor of Philosoph

Atomic ionization by sterile-to-active neutrino conversion and constraints on dark matter sterile neutrinos with germanium detectors

The transition magnetic moment of a sterile-to-active neutrino conversion gives rise to not only radiative decay of a sterile neutrino, but also its non-standard interaction (NSI) with matter. For sterile neutrinos of keV-mass as dark matter candidates, their decay signals are actively searched for in cosmic X-ray spectra. In this work, we consider the NSI that leads to atomic ionization, which can be detected by direct dark matter experiments. It is found that this inelastic scattering process for a nonrelativistic sterile neutrino has a pronounced enhancement in the differential cross section at energy transfer about half of its mass, manifesting experimentally as peaks in the measurable energy spectra. The enhancement effects gradually smear out as the sterile neutrino becomes relativistic. Using data taken with germanium detectors that have fine energy resolution in keV and sub-keV regimes, constraints on sterile neutrino mass and its transition magnetic moment are derived and compared with those from astrophysical observations