19,833 research outputs found

    Power Saving by Using Image Processing

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    This Paper Proposes Power Saving by using Image Processing. In India major problems of Energy and Power crisis because of it is developing country. We have many ways to save Electricity using Electric and Electronic Gadgets whenever and wherever is need and we can also switching them off, while not in use. But in many places such as large auditoriums and meeting halls, there will be a fan or an Air-conditioner keep running. Due to this, a large amount of electricity is wastage. We can prevent this wastage by using installing IR sensors to detect people. But these methods are quite costlier and required large areas. Therefore, we propose a new method of controlling the power supply by using Image Processing. In this paper, we have to take reference image and if any change in that reference image it will detected and change their status according to that and equipment will be turned on. In this way power wastage is controlled. We can use this system for dual purpose in which a camera is used for detecting people as well as surveillance. The main advantage of this system is a very simple, efficient and cheaper technique to save energy. Second big advantage is we extend this up to application like home automation etc

    Modified mattress sutures vs running sutures in uterine closure: which is better?

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    Background: Conventional closure of uterus has been known to bear risk of scar dehiscence and scar rupture in subsequent pregnancies and thus, a study was conducted to compare the outcome of uterine closure with modified mattress manner and running manner and to establish a better method of uterine closure during caesarean section. Objective was to compare the conventional single layer running sutures and single layer modified mattress sutures for closure of uterus in caesarean section and find out which method is superior.Methods: This prospective interventional study was carried out in Dhiraj Hospital, a tertiary care hospital in Vadodara. 60 pregnant women in the study criteria were equally divided randomly into 2 groups. Uterine closure was done in single layered sutures, one by running sutures and other group by modified mattress sutures.Results: Uterine scar thickness on 8th day and 6 months post-operatively was significantly more in single layered suturing by modified mattress suture compared to running suture (p <0.05).Conclusions: Uterine closure by single layered modified mattress suture is better in comparison to conventional single layer running suture

    SENSITIVE AND RAPID ESTIMATION OF LAPATINIB, AN ANTICANCER DRUG IN SPIKED HUMAN PLASMA BY LC-MS/MS

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    Objective: The work presents a sensitive, selective and rapid determination of lapatinib, a potent anticancer drug in human plasma by liquid chromatography-tandem mass spectrometry.Methods: Liquid-liquid extraction of lapatinib and lapatinib-d4, added as an internal standard (IS) was carried out from 100 µl plasma sample. Chromatographic analysis was performed on ACE C18 (100 mm × 4.6 mm, 5 µm) column using 10 mmol ammonium formate buffer (pH 3.5) and acetonitrile (10:90, v/v) as the mobile phase. The precursor ion → product ion transitions for lapatinib (m/z 581.1 → 365.2) and IS (m/z 585.1 → 365.0) were monitored on a triple quadrupole mass spectrometer in the positive electrospray ionization mode. The method was validated in accordance with the US FDA guidelines.Results: A linear concentration range was established from 2.50-2500 ng/ml for lapatinib. The intra-batch and inter-batch precision were ≤ 4.81 %. The recovery of lapatinib and IS from plasma samples ranged from 88.7 to 95.8 % and 85.9 to 96.5 % respectively. The accuracy and precision (% CV) for the stability of lapatinib under different storage conditions showed a variation from 95.2 to 102.2 % and 1.19 to 4.35 % respectively at low and high QC levels. Under optimized chromatographic conditions, the retention time for lapatinib was 1.406 min with a total run time of 2.5 min for each sample.Conclusion: The validation results demonstrate that the method is simple, accurate, precise and reproducible. The developed method can be readily used for pharmacokinetics/bioequivalence studies in patients as well as healthy subjects.Â

    DETERMINATION OF CAPECITABINE-AN ANTICANCER DRUG IN DRIED BLOOD SPOT BY LC-ESI-MS/MS

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    Objective: Capecitabine (Cape), the first oral prodrug which belongs to the group of fluoro pyrimidines is the most frequently prescribed anticancer drug for the treatment of metastatic breast and colorectal cancers. The article describes a selective and robust method for determination of Cape in dried blood spots (DBS) by liquid chromatography-tandem mass spectrometry (LC-MS/MS).Methods: Cape fortified DBS was punched and extracted with ethyl acetate using capecitabine-d11 as the internal standard (IS). Chromatographic separation of Cape and IS from endogenous matrix was performed on Phenomenex Gemini C18 (150 × 4.6 mm, 5mm) column under isocratic condition using acetonitrile: 2 mmol ammonium formate (pH 3.0, adjusted with 0.1 % formic acid) (80:20, v/v) as the mobile phase. Detection and quantification were carried on a triple quadrupole mass spectrometer, using electro spray ionization technique in the positive ionization mode.Results: The method was established over a concentration range of 10-10000 ng/ml. Accuracy, precision, selectivity, recovery, matrix effect and stability of the analyte were also estimated and the results were within the acceptance criteria. Further, precise results were obtained using an optimum spot volume of 10 µl with good spot homogeneity. Blood samples with hematocrit values varying from 24 % to 45 % gave acceptable results with good accuracy and precision.Conclusion: The efficiency of dried blood spot sample preparation, short analysis time and high selectivity permits estimation of Cape in a small blood volume. The validation results suggest that the method is precise, accurate, and reproducible and can be useful in therapeutic drug monitoring of Cape.Â

    Cooperative Recombination of a Quantized High-Density Electron-Hole Plasma

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    We investigate photoluminescence from a high-density electron-hole plasma in semiconductor quantum wells created via intense femtosecond excitation in a strong perpendicular magnetic field, a fully-quantized and tunable system. At a critical magnetic field strength and excitation fluence, we observe a clear transition in the band-edge photoluminescence from omnidirectional output to a randomly directed but highly collimated beam. In addition, changes in the linewidth, carrier density, and magnetic field scaling of the PL spectral features correlate precisely with the onset of random directionality, indicative of cooperative recombination from a high density population of free carriers in a semiconductor environment

    Ultrasonic inspection and self-healing of Ge and 3C-SiC semiconductor membranes

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    Knowledge of the mechanical properties and stability of thin film structures is important for device operation. Potential failures related to crack initiation and growth must be identified early, to enable healing through e.g. annealing. Here, three square suspended membranes, formed from a thin layer of cubic silicon carbide (3C-SiC) or germanium (Ge) on a silicon substrate, were characterised by their response to ultrasonic excitation. The resonant frequencies and mode shapes were measured during thermal cycling over a temperature range of 20--100~^\circC. The influence of temperature on the stress was explored by comparison with predictions from a model of thermal expansion of the combined membrane and substrate. For an ideal, non-cracked sample the stress and Q-factor behaved as predicted. In contrast, for a 3C-SiC and a Ge membrane that had undergone vibration and thermal cycling to simulate extended use, measurements of the stress and Q-factor showed the presence of damage, with the 3C-SiC membrane subsequently breaking. However, the damaged Ge sample showed an improvement to the resonant behaviour on subsequent heating. Scanning electron microscopy showed that this was due to a self-healing of sub-micrometer cracks, caused by expansion of the germanium layer to form bridges over the cracked regions, with the effect also observable in the ultrasonic inspection

    Tensile strain mapping in flat germanium membranes

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    Under the terms of the Creative Commons Attribution (CC BY) license to their work.-- et al.Scanning X-ray micro-diffraction has been used as a non-destructive probe of the local crystalline quality of a thin suspended germanium (Ge) membrane. A series of reciprocal space maps were obtained with ~4 μm spatial resolution, from which detailed information on the strain distribution, thickness, and crystalline tilt of the membrane was obtained. We are able to detect a systematic strain variation across the membranes, but show that this is negligible in the context of using the membranes as platforms for further growth. In addition, we show evidence that the interface and surface quality is improved by suspending the Ge.This work was carried out under the RCUK Basic Technology Programme supported by research Grant Nos. EP/F040784/1, EP/J001074/1, EP/L007010/1, by the European Community's Seventh Framework Programme (FP7/2007-2013) under Grant Agreement NANOFUNCTION No. 257375, by TAPHOR (MAT2012–31392), and by FP7 project MERGING (Grant No. 309150). This research used equipment funded by AWM and ERDF through the Science City Energy Efficiency project.Peer Reviewe

    A Cascade Neural Network Architecture investigating Surface Plasmon Polaritons propagation for thin metals in OpenMP

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    Surface plasmon polaritons (SPPs) confined along metal-dielectric interface have attracted a relevant interest in the area of ultracompact photonic circuits, photovoltaic devices and other applications due to their strong field confinement and enhancement. This paper investigates a novel cascade neural network (NN) architecture to find the dependance of metal thickness on the SPP propagation. Additionally, a novel training procedure for the proposed cascade NN has been developed using an OpenMP-based framework, thus greatly reducing training time. The performed experiments confirm the effectiveness of the proposed NN architecture for the problem at hand
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