38 research outputs found
Limit overturning moment chuck
Limited memory capacity is one of the major constraints in Delay Tolerant Wireless Sensor Networks. Efficient management of the memory is critical to the performance of the network. This paper proposes a novel buffer management algorithm, SmartGap, a Quality of Information (QoI) targeted buffer management algorithm. That is, in a wireless sensor network that continuously measures a parameter which changes over time, such as temperature, the value of a single packet is governed by an estimation of its contribution to the recreation of the original signal. Attractive features of SmartGap include a low computational complexity and a simplified reconstruction of the original signal. An analysis and simulations in which the performance of SmartGap is compared with the performance of several commonly used buffer management algorithms in wireless sensor networks are provided in the paper. The simulations suggest that SmartGap indeed provides significantly improved QoI compared the other evaluated algorithms.QC 20150605</p
Factors Associated with Revision Surgery after Internal Fixation of Hip Fractures
Background: Femoral neck fractures are associated with high rates of revision surgery after management with internal fixation. Using data from the Fixation using Alternative Implants for the Treatment of Hip fractures (FAITH) trial evaluating methods of internal fixation in patients with femoral neck fractures, we investigated associations between baseline and surgical factors and the need for revision surgery to promote healing, relieve pain, treat infection or improve function over 24 months postsurgery. Additionally, we investigated factors associated with (1) hardware removal and (2) implant exchange from cancellous screws (CS) or sliding hip screw (SHS) to total hip arthroplasty, hemiarthroplasty, or another internal fixation device. Methods: We identified 15 potential factors a priori that may be associated with revision surgery, 7 with hardware removal, and 14 with implant exchange. We used multivariable Cox proportional hazards analyses in our investigation. Results: Factors associated with increased risk of revision surgery included: female sex, [hazard ratio (HR) 1.79, 95% confidence interval (CI) 1.25-2.50; P = 0.001], higher body mass index (fo
Quality of information in wireless sensor networks: A survey
In Wireless Sensor Networks (WSNs) the operating conditions and/or user requirements are often desired to be evolvable, whether driven by changes of the monitored parameters or WSN properties of configuration, structure, communication capacities, node density, and energy among many others. While considering evolvability, delivering the required information with the specified quality (accuracy, timeliness, reliability etc) defined by the user constitutes a key objective of WSNs. Most existing research efforts handle fluctuations of operation conditions in order to deliver information with the highest possible specified quality. In this paper, we take these aspects into consideration and survey existing work on Quality of Information (QoI). As a contribution, we categorize WSN information into a set of abstract classes for generality across varied application types. Our survey shows that currently QoI is usually addressed in isolation by focusing on discrete data processing operations/building blocks such as raw data collection, in-network processing (compression, aggregation), information transport and sink operations for decision making. This survey comprehensively explains the different views of QoI on attributes, metrics and WSN functional operations mapped with existing approaches. The survey also forms the basis for specifying needed QoI research issues
Not Available
Not AvailableKalmegh (Andrographis paniculata Nees.) is known as king of bitterness, Kalmegh is used as traditional
medicine for curing different ailments and is known for its wide medicinal properties. The whole herb is
used for herbal cure at Andaman Islands and is grown in homestead gardens, An attempt was made to
study the phytochemical composition and andrographolide content of both leaves and stem extracts.
Methanolic extract yielded maximum total phenols in both leaf (24.18 mg/g) and stem extract (27.35
mg/g). Flavonoid content was also maximum in methanolic extract of leaf (52.57 mg/g) and stem (71.82
mg/g) of A. paniculata. Highest DPPH activity was found in methanolic extract in both leaf (7.08 mg
BHT/g) and stem samples (7.15 mg BHT/g). The NO activity was highest in ethanolic extract in both leaf
(13.85 mg vit C/g) and stem (12.86 mg Vit C/g). The methanol extract of leaf (14.65 mg EDTA/g) and
stem (12.85 mg EDTA/g) showed higher chelating activity. The acetone extract of stem (3.16 mg vit c/g)
and leaf (2.97 mg vit c/g) of Kalmegh showed effective reduction in the activity of hydrogen peroxide.
Andrographolide content was maximum in leaf (3.49%) followed by stem (1.59%).Not Availabl
Sampling and transport co-design in Wireless Sensor Networks
A key task in Wireless Sensor Networks (WSNs) is to deliver specific information about a spatial phenomenon of interest. To this end, a few Sensor Nodes (SNs) sample the phenomenon and transmit the acquired samples, typically multihop, to the application through a gateway called sink. Many applications require the spatial sampling to be accurate and the delivery to be reliable. However, providing a higher accuracy/reliability comes at the cost of higher energy overhead as additional messages are required: increasing the number of samples to increase the accuracy of sampling and increasing the number of retransmissions to increase the transport reliability. Existing design approaches overlook optimized spatial sampling accuracy and transport reliability in combination for minimizing energy consumption. In this paper, we sketch a new approach in providing the optimized solution for sampling accuracy and transport reliability in composition for a maximized efficiency. © 2013 IEEE
Information quality aware co-design of sampling and transport in wireless sensor networks
A key task in Wireless Sensor Networks (WSNs) is to deliver specific information about a spatial phenomenon of interest. To this end, a few Sensor Nodes (SNs) sample the phenomenon and transmit the acquired samples, typically multihop, to the application through a gateway called sink. Many applications require the spatial sampling to be accurate and the delivery to be reliable. However, providing a higher accuracy/reliability comes at the cost of higher energy overhead as additional messages are required: increasing the number of samples to increase the accuracy of sampling and increasing the number of retransmissions to increase the transport reliability. Existing design approaches overlook optimized spatial sampling accuracy and transport reliability in combination for minimizing energy consumption. This work aims in providing the optimized solution for sampling accuracy and transport reliability in composition for a maximized efficiency. Our approach features a message efficiency that optimally meets application requirements with the online adaptation and appropriate tradeoff between accuracy and reliability. The sampling and transport co-design proceeds by finding optimal number of SNs for the accuracy of the spatial sampling with the effect of reducing the number of retransmissions and still satisfying the application requirements. We validate the approach viability through analytical modeling and extensive simulations for a wide range of requirements. © 2013 IEEE
Mesenteric venous thrombosis following vaginal delivery
Acute abdomen following an uneventful vaginal delivery is a rare occurrence. Diagnosis may be delayed due to pregnancy related comorbid conditions such as preeclampsia, hemolysis elevated, liver enzymes, low platelet (HELLP) count syndrome, acute fatty liver of pregnancy (AFLP), etc. We describe a 21-year-old woman with pre-eclampsia, HELLP syndrome and AFLP with acute abdomen that was managed successfully in our intensive care unit
Galvanic Exchange on Reduced Graphene Oxide: Designing a Multifunctional Two-Dimensional Catalyst Assembly
The two-dimensional network of reduced graphene oxide
(RGO) is
decorated with silver and gold nanoparticles. The silver nanoparticles
deposited on RGO by photocatalytic reduction are subjected to galvanic
exchange with Au<sup>3+</sup> ions to transform them into gold nanoparticles.
This compositional change on the RGO surface demonstrates RGO’s
versatile ability to anchor a wide array of nanoparticles and facilitate
chemical transformations. Coupled with RGO’s unique ability
to capture and transport electrons, galvanic exchange is used to contrive
a two-dimensional nanocatalyst mat. Raman studies show that metal
nanoparticles anchored on reduced graphene oxide facilitate enhancement
of Raman bands. Using methyl viologen as a probe we elucidate the
photocatalytic activity of the semiconductor–RGO–metal
nanoassembly and highlight the mediation of RGO in charge transfer
processes
Trading transport timeliness and reliability for efficiency in wireless sensor networks
A key task in wireless sensor networks is to deliver information from sensor nodes to the sink. Many applications require the delivery to be reliable and timely. However, increasing reliability/timeliness comes at the cost of higher energy consumption as in both cases additional messages have to be sent: Retransmissions to increase reliability and information delivery via a second, faster path to ensure timeliness. Existing transport protocols either over- or under-provide reliability and/or timeliness and lack optimized efficiency. This work aims in tuning reliability and timeliness in composition for a maximized efficiency. Our approach's takes the reliability/timeliness requirements as input and features a message efficiency that optimally meets user requirements. Information transport proceeds in two steps in a fully distributed way: (i) Finding the optimal number of retransmissions on a per hop basis with delay compensation, and (ii) path split and/or replication if reliability or timeliness requirements are violated. We validate the approach viability through extensive simulations for a wide range of requirements and network conditions. © 2013 IEEE