Khushdeep Kaur

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In this research paper, additional constrains have been considered to progress a holistic analysis based algorithm based on Max-Min algorithm, which work on principle of sorting jobs(cloudlets) based on completion time of cloudlets. The improved algorithms here also reviews the job characteristics in method of size, pattern, payload ratio and available(More)
This paper introduces a new approach to multiplication of ternary numbers. The whole multiplication is based on the efficient Booth Encoding technique that multiplies both positive as well as negative ternary numbers. Verilog HDL has been used to implement the ternary multipliers of 3bit, 8bit and 12bit. The HDL design is based on the Finite State Machine(More)
The use of optical fiber which offers large bandwidth in the telecommunication sector has shown a lot of developments in the last decade mainly in television cables and cell phone cables. But these are not fully efficient and to do this, the fiber should allow multiple access which means allowing various users to send and receive data in the fiber at the(More)
In wireless sensor networks (wsn) power is the most essential resource because each sensor node has limited batteries. So Many kinds of existing clustering protocols have been developed to balance and maximize lifetime of the sensor nodes in wireless sensor networks. In this dissertation we present T-LEACH which is a threshold-based cluster head replacement(More)
Background: Preoperative MRI (magnetic resonance imaging) of the breast is likely to accurately stage the disease and thereby influence the surgical decision making in newly diagnosed non metastatic breast cancers. We assessed the impact of preoperative contrast-enhanced MRI in surgical management of women with early breast cancer. Design: Prospective(More)
In recent years, there are various sources that generates data in petabyte and terabyte, known as big data and its generated by human, machine, sensor etc. So the solution leds with big data is Apache Hadoop has attracted strong attention because of its applicability on processing for the large data sets. This paper present the review about the big data and(More)
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