Proposed System:
- Reduced the Power consumption.
- Reduce the area size
Software Implementation:
- DSCH3
- MICROWIND
Hardware Implementation:
- ASIC
₹10,000.00 Original price was: ₹10,000.00.₹8,000.00Current price is: ₹8,000.00.
Source : DSCH3/MICROWIND
Abstract:
In this paper, we are proposed a level converting retention flip-flop for Zigbee Soc, it will be using to allows the voltage regulator that generates the core supply voltage (VDD, core), to be turned off in the standby mode, and it thus reduces the standby power of the Zigbee Soc. Here the Level up conversion form VDD core is achieved by and embedded nMOS pass transistor level-conversion scheme that uses a low only signal transmitting technique. By embedding a retention latch and level-up converter into the data-to-output path of the proposed RFF, the RFF resolves the problems of the static RAM-based RFF, such as large dc current and low readability caused by threshold drop. The proposed RFF does not also require additional control signals for power mode transitioning. Using 0.13-μm process technology, we implemented an RFF with VDD,core and VDD,IO of 1.2 and 2.5 V, respectively. The maximum operating frequency is 300 MHz. The active energy of the RFF is 191.70 fJ, and its standby power is 350.25 pW.
List of the following materials will be included with the Downloaded Backup:
Proposed System:
Software Implementation:
Hardware Implementation:
This paper presents a new power-efficient electrocardiogram acquisition system that uses a fully digital architecture to reduce the power consumption and chip area. The proposed architecture is compatible with digital CMOS technology and is capable of operating with a low supply voltage of 0.5 V. In this architecture, no analog block, e.g., low-noise amplifier (LNA), and filters, and no passive elements, such as ac coupling capacitors, are used. A moving average voltage-to time converter is used, which behaves instead of the LNA and anti-aliasing filter. A digital feedback loop is employed to cancel the impact of the dc offset on the circuit, which eliminates the need for coupling capacitors. The proposed architecture of this paper area and power consumption is analysis using tanner tool.
List of the following materials will be included with the Downloaded Backup:Graph cut has proven to be an effective scheme to solve a wide variety of segmentation problems in vision and graphics community. The main limitation of conventional graph-cut implementations is that they can hardly handle large images or videos because of high computational complexity. Even though there are some parallelization solutions, they commonly suffer from the problems of low parallelism (on CPU) or low convergence speed (on GPU). In this paper, we present a novel graph-cut algorithm that leverages a parallelized jump flooding technique and an heuristic push-relabel scheme to enhance the graph-cut process, namely, back-and-forth relabel, convergence detection, and block-wise push-relabel. The entire process is parallelizable on GPU, and outperforms the existing GPU-based implementations in terms of global convergence, information propagation, and performance. We design an intuitive user interface for specifying interested regions in cases of occlusions when handling video sequences. Experiments on a variety of data sets, including images (up to 15 K×10 K), videos (up to 2.5K×1.5K×50), and volumetric data, achieve highquality results and a maximum 40-fold (139-fold) speedup over conventional GPU (CPU-)-based approaches.
List of the following materials will be included with the Downloaded Backup:Abstract: Interconnections are increasingly the dominant contributor to delay, area and energy consumption in CMOS digital circuits. The proposed implementation overcomes several limitations found in previous quaternary implementations published so far, such as the need for special features in the CMOS process or power-hungry current-mode cells. We have to use the 512bit quaternary Look Up Table for high level of operations in the FPGA.The proposed architecture of this paper will be planned to implemented and also analysis the output current, output voltage, area using Xilinx 14.3.
List of the following materials will be included with the Downloaded Backup:This paper presents a fixed-point reconfigurable parallel VLSI hardware architecture for real-time Electrical Capacitance Tomography (ECT). Another FPGA module performs the inverse steps of the tomography algorithm. A dual port built-in memory banks store the sensitivity matrix, the actual value of the capacitances, and the actual image with RGB format. A two dimensional (2D) core multiprocessing elements (PE) engine intercommunicates with these memory banks via parallel buses. We are focus only on the FPGA module because the design is decide the power consumption and cost. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.
List of the following materials will be included with the Downloaded Backup:Source : VHDL
Abstract:
We are briefly discussing the logic operations are involved in the CSLA (conventional carry select adder) and the square root conventional carry select adder. We have discard the all the extra logic operations present in the conventional CSLA. In the proposed system carry selection is take place in before the final sum calculation. The proposed system achieves the optimization in the logic units. Finally the FPGA synthesis results shows to achieves a design the low power architecture for CSLA.
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This system presents a fully pipelined color demosaicking design. To improve the quality of reconstructed images, a linear deviation compensation scheme was created to increase the correlation between the interpolated and neighboring pixels. Furthermore, immediately interpolated green color pixels are first to be used in hardware-oriented color demosaicking algorithms, which efficiently promoted the quality of the reconstructed image. A boundary detector and boundary mirror machine were added to improve the quality of pixels located in boundaries. In addition, a hardware sharing technique was used to reduce the hardware costs of three interpolators. Finally these are implemented and get the simulated result is compared to the previous architecture. The code are simulated and power, area, cost are taken using Xilinx 14.2 software and MATLAB. Compared with the previous low complexity designs, this work has the benefits in terms of low cost, low power consumption, and high performance.
List of the following materials will be included with the Downloaded Backup:
₹15,000.00 Original price was: ₹15,000.00.₹10,000.00Current price is: ₹10,000.00.
₹20,000.00 Original price was: ₹20,000.00.₹10,000.00Current price is: ₹10,000.00.
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