905 research outputs found

    PERFORMANCE OF PAN-TILT TRACKER BASED ON THE PIN-HOLE LENS MODEL

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    In the modern day, recognition and tracking of face or the iris is potentially one of the most powerful ways of differentiating between an authentic person and an imposter. Our method uses stereo vision to track the 3-Dimensional coordinates of a target equivalent to a person’s eyes and using a pan-tilt unit we target these areas for additional processing such as iris or facial imaging. One of the most important parts involved in tracking is the way the pan-tilt unit is calibrated. There have been techniques in the past where PTZ (Pan-tilt-zoom) digital camera has been used and calibrated using self calibration techniques involving a checker board calibration grid but the tracking error was found to be large in these techniques. We introduce a more accurate form of calibration of the pantilt unit using photogrammetric calibration technique and view the pan-tilt unit as an emulation of a Pinhole Lens Model to detect and track the target. The system is demonstrated on ideal targets

    Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks

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    Fully realizing the potential of acceleration for Deep Neural Networks (DNNs) requires understanding and leveraging algorithmic properties. This paper builds upon the algorithmic insight that bitwidth of operations in DNNs can be reduced without compromising their classification accuracy. However, to prevent accuracy loss, the bitwidth varies significantly across DNNs and it may even be adjusted for each layer. Thus, a fixed-bitwidth accelerator would either offer limited benefits to accommodate the worst-case bitwidth requirements, or lead to a degradation in final accuracy. To alleviate these deficiencies, this work introduces dynamic bit-level fusion/decomposition as a new dimension in the design of DNN accelerators. We explore this dimension by designing Bit Fusion, a bit-flexible accelerator, that constitutes an array of bit-level processing elements that dynamically fuse to match the bitwidth of individual DNN layers. This flexibility in the architecture enables minimizing the computation and the communication at the finest granularity possible with no loss in accuracy. We evaluate the benefits of BitFusion using eight real-world feed-forward and recurrent DNNs. The proposed microarchitecture is implemented in Verilog and synthesized in 45 nm technology. Using the synthesis results and cycle accurate simulation, we compare the benefits of Bit Fusion to two state-of-the-art DNN accelerators, Eyeriss and Stripes. In the same area, frequency, and process technology, BitFusion offers 3.9x speedup and 5.1x energy savings over Eyeriss. Compared to Stripes, BitFusion provides 2.6x speedup and 3.9x energy reduction at 45 nm node when BitFusion area and frequency are set to those of Stripes. Scaling to GPU technology node of 16 nm, BitFusion almost matches the performance of a 250-Watt Titan Xp, which uses 8-bit vector instructions, while BitFusion merely consumes 895 milliwatts of power

    Role of autologous bone marrow derived stem cells and platelet rich plasma for endometrial regeneration and repair and ovarian rejuvenation

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    Background: Stem cells are undifferentiated cells with a potential for self- renewal and differentiation into multiple mature cell types. PRP is blood plasma that has been enriched with platelets and multiple growth factors that can stimulate cellular processes and activate multi-potent stem cells to generate new, younger tissue and new blood vessels relevant to ovarian rejuvenation and endometrial regeneration.Methods: This study was to evaluate the effectiveness of ABMDSC and PRP application in patients with thin endometrium refractory to treatment, premature ovarian failure, infertility and menopause. 37 symptomatic women between age group 18 years to 56 years were selected for ABMDSC and PRP instillation in endometrium and/ or ovaries. PRP was instilled in endometrium in 8 patients, in ovaries in 5 patients and in both endometrium and ovaries in 24 patients.Results: There was significant improvement in endometrial thickness, along with improved blood flow to both endometrium and ovaries. FSH levels decreased and ovarian volume increased. There were three confirmed pregnancies with one delivery.  Menopausal symptoms decreased in 2 patients and spontaneous resumption of menses was seen in 1 patient of POF.Conclusions: Stem cell therapy serves as a game changer with their unique properties, offering solutions for scores of women suffering from POF, poor oocyte quality, endometrial degeneration/ damage or menopausal symptoms.
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