792 research outputs found

    Modified virtually scaling free adaptive CORDIC rotator algorithm and architecture

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    In this article we proposed a novel CoOrdinate Rotation DIgital Computer (CORDIC) rotator algorithm that converges to the final target angle by adaptively executing appropriate iteration steps while keeping the scale factor virtually constant and completely predictable. The new feature of our scheme is that depending on the input angle the scale factor can assume only two values viz., 1 and 1/?2 and it is independent of the number of executed iteration, nature of iteration and wordlength. In this algorithm, compared to the conventional CORDIC a reduction of 50% iteration is achieved on an average without compromising the accuracy. The adaptive selection of the appropriate iteration step is predicted from the binary representation of the target angle and no further arithmetic computation in the angle approximation datapath is required. The convergence range of the proposed CORDIC rotator is spanned over the entire coordinate space. The new CORDIC rotator requires 22% less adders and 53% less registers compared to that of the conventional CORDIC. The synthesized cell area of the proposed CORDIC rotator core is 0.7 mm2 and its power dissipation is 7 mW in IHP in-house 0.25 ?m BiCMOS technology. To our knowledge, this is the smallest pipelined CORDIC rotator reported so far

    Traditional and non-traditional treatments for autism spectrum disorder with seizures: an on-line survey

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    Abstract Background Despite the high prevalence of seizure, epilepsy and abnormal electroencephalograms in individuals with autism spectrum disorder (ASD), there is little information regarding the relative effectiveness of treatments for seizures in the ASD population. In order to determine the effectiveness of traditional and non-traditional treatments for improving seizures and influencing other clinical factor relevant to ASD, we developed a comprehensive on-line seizure survey. Methods Announcements (by email and websites) by ASD support groups asked parents of children with ASD to complete the on-line surveys. Survey responders choose one of two surveys to complete: a survey about treatments for individuals with ASD and clinical or subclinical seizures or abnormal electroencephalograms, or a control survey for individuals with ASD without clinical or subclinical seizures or abnormal electroencephalograms. Survey responders rated the perceived effect of traditional antiepileptic drug (AED), non-AED seizure treatments and non-traditional ASD treatments on seizures and other clinical factors (sleep, communication, behavior, attention and mood), and listed up to three treatment side effects. Results Responses were obtained concerning 733 children with seizures and 290 controls. In general, AEDs were perceived to improve seizures but worsened other clinical factors for children with clinical seizure. Valproic acid, lamotrigine, levetiracetam and ethosuximide were perceived to improve seizures the most and worsen other clinical factors the least out of all AEDs in children with clinical seizures. Traditional non-AED seizure and non-traditional treatments, as a group, were perceived to improve other clinical factors and seizures but the perceived improvement in seizures was significantly less than that reported for AEDs. Certain traditional non-AED treatments, particularly the ketogenic diet, were perceived to improve both seizures and other clinical factors. For ASD individuals with reported subclinical seizures, other clinical factors were reported to be worsened by AEDs and improved by non-AED traditional seizure and non-traditional treatments. The rate of side effects was reportedly higher for AEDs compared to traditional non-AED treatments. Conclusion Although this survey-based method only provides information regarding parental perceptions of effectiveness, this information may be helpful for selecting seizure treatments in individuals with ASD.</p

    sj-docx-1-dhj-10.1177_20552076241247194 - Supplemental material for The relationship between therapeutic alliance, frequency of consultation and uptake of telemedicine among patients seeking treatment for early psychosis: A moderated mediation model

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    Supplemental material, sj-docx-1-dhj-10.1177_20552076241247194 for The relationship between therapeutic alliance, frequency of consultation and uptake of telemedicine among patients seeking treatment for early psychosis: A moderated mediation model by PV AshaRani, Yeow Wee Brian Tan, Ellaisha Samari, Peizhi Wang, Laxman Cetty, Pratika Satghare, Swapna K Verma, Charmaine Tang and Mythily Subramaniam in DIGITAL HEALTH</p

    sj-docx-2-dhj-10.1177_20552076241247194 - Supplemental material for The relationship between therapeutic alliance, frequency of consultation and uptake of telemedicine among patients seeking treatment for early psychosis: A moderated mediation model

    No full text
    Supplemental material, sj-docx-2-dhj-10.1177_20552076241247194 for The relationship between therapeutic alliance, frequency of consultation and uptake of telemedicine among patients seeking treatment for early psychosis: A moderated mediation model by PV AshaRani, Yeow Wee Brian Tan, Ellaisha Samari, Peizhi Wang, Laxman Cetty, Pratika Satghare, Swapna K Verma, Charmaine Tang and Mythily Subramaniam in DIGITAL HEALTH</p

    New virtually scaling free adaptive CORDIC rotator

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    In this article we propose a novel CORDIC rotator algorithm that eliminates the problems of scale factor compensation and limited range of convergence associated with the classical CORDIC algorithm. In our scheme, depending on the target angle or the initial coordinate of the vector, a scaling by 1 or 1/?2 is needed that can be realised with minimal hardware. The proposed CORDIC rotator adaptively selects appropriate iteration steps and converges to the final result by executing 50% less number of iterations on an average compared to that required for the classical CORDIC. Unlike classical CORDIC, the final value of the scale factor is completely independent of number of executed iterations. Based on the proposed algorithm, a 16-bit pipelined CORDIC rotator implementation has been described. The silicon area of the fabricated pipelined CORDIC rotator core is 2.73 mm2. This is equivalent to 38 k inverter gates in IHP in-house 0.25 ?m BiCMOS technology. The average dynamic power consumption of the fabricated CORDIC rotator is 17 mW @ 2.5 V supply and 20Msps throughput. Currently, this CORDIC rotator is used as a part of the baseband processor for a project that aims to design a single-chip wireless modem compliant with IEEE 802.11a and Hiperlan/2

    A VLSI Array Architecture for Realization of DFT, DHT, DCT and DST

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    A unified array architecture is described for computation of DFT, DHT, DCT and DST using a modified CORDIC (CoOrdinate Rotation DIgital Computer) arithmetic unit as the basic Processing Element (PE). All these four transforms can be computed by simple rearrangement of input samples. Compared to five other existing architectures, this one has the advantage in speed in terms of latency and throughput. Moreover, the simple local neighborhood interprocessor connections make it convenient for VLSI implementation. The architecture can be extended to compute transformation of longer length by judicially cascading the modules of shorter transformation length which will be suitable for Wafer Scale Integration (WSI). CORDIC is designed using Transmission Gate Logic (TGL) on sea of gates semicustom environment. Simulation results show that this architecture may be a suitable candidate for low power/low voltage applications

    Simulation of binary mixture adsorption of methane and CO2 at supercritical conditions in carbons

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    Knowledge of the adsorption behavior of coal-bed gases, mainly under supercritical high-pressure conditions, is important for optimum design of production processes to recover coal-bed methane and to sequester CO2 in coal-beds. Here, we compare the two most rigorous adsorption methods based on the statistical mechanics approach, which are Density Functional Theory (DFT) and Grand Canonical Monte Carlo (GCMC) simulation, for single and binary mixtures of methane and carbon dioxide in slit-shaped pores ranging from around 0.75 to 7.5 nm in width, for pressure up to 300 bar, and temperature range of 308-348 K, as a preliminary study for the CO2 sequestration problem. For single component adsorption, the isotherms generated by DFT, especially for CO2, do not match well with GCMC calculation, and simulation is subsequently pursued here to investigate the binary mixture adsorption. For binary adsorption, upon increase of pressure, the selectivity of carbon dioxide relative to methane in a binary mixture initially increases to a maximum value, and subsequently drops before attaining a constant value at pressures higher than 300 bar. While the selectivity increases with temperature in the initial pressure-sensitive region, the constant high-pressure value is also temperature independent. Optimum selectivity at any temperature is attained at a pressure of 90-100 bar at low bulk mole fraction of CO2, decreasing to approximately 35 bar at high bulk mole fractions. (c) 2005 American Institute of Chemical Engineers
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