Implementation of Energy Efficiency in Cloud Using Packet Size Reduction and KNNBased Virtual Machine Selection Mechanism
Area
Computer Science
Author
Ritu Rani
Edition
Volume 1, Issue 1
Org/Univ
MMU-Mullana

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Abstract--The focus of the research is provide energy efficient model in case of cloud computing. Because the energy is distributed symmetric and the traffic load is disseminated over the network so we have to put minimum load on the network during packet transmission. Reduction of packet size using packet reduction logic leads to less space and time consumption. Such mechanism reduces the energy consumption too. More over The Integration of load balancing for energy efficiency consists of objectives to Manage cloudlet and virtual machine in such a way that there should be proper load balancing in virtual machines. This research would represent the influence of number of cloudlets and size on virtual machines. Keywords: Cloud, Packet, KNN, Energy Efficiency, Cloudlet, Virtual Machine

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Co-Authors

Vinod Saroha, Dr. Sanjeev Rana
Integrated Solar PV and Thermoelectric Energy System
Area
Electronics
Author
Priya
Edition
Volume 1, Issue 1
Org/Univ
HCE, Sonipat Haryana, INDIA

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Abstract - Solar panels are used for converting solar energy and wind turbines are used for converting wind energy into electricity. This electrical power can utilize for various purpose. Generation of electricity will be takes place at affordable cost. This paper deals with the generation of electricity by using two sources combine which leads to generate electricity with affordable cost without damaging the nature balance. In this paper, we develop an optimal design for a hybrid solar-wind energy design, where integrated energy is optimized. Proposed integrated solar wind energy system gives minimum ripple in output voltage and current .DC current and Voltages aretrack maximum power in solar PV mode and wind turbine. Total harmonics distribution is 2% in 3 phase inverter current as compared to non-integrated Model. Integrated solar wind system produced very less power loss due to very less switching frequency. The switching Frequency used in the model is 2 Khz. Keywords: MPPT, Solar , PV, P & O .

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Co-Authors

CharanJeet Madan
Design & Simulation of Circular Rectangular Patch Antenna for Wireless Application
Area
Electronics
Author
Priyanka
Edition
Volume 1, Issue 1
Org/Univ
HCE, Sonipat, Haryana, INDIA

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Abstract -- A rectangular patch antenna is design and simulated in this paper. The overall antenna is simulated in microwave tool High Frequency Structure Simulator. The proposed antenna is used for wireless communication system. Gain, Return loss and bandwidth are the performance parameter of rectangular antenna. The electromagnetic substrate used in the patch antenna. But virtually RT- Duroid substrate is used with ε_r = 2.33. The proposed antenna is analyzed at two frequency 16.6 GHz & 18.3 GHz. Gain and return loss of circular rectangular patch antenna is -35.7673 db & -29.2070 and gain of patch is 5.097 db & 12.44 db respectively. Keywords-- Microstrip, Antenna, Gain, Bandwidth

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Co-Authors

Rakesh Verma
IRIS Recognition using Gabor Filter & Vector Machine Methods: A Review
Area
Computer Science
Author
Amandeep Kaur
Edition
Volume 1, Issue 1
Org/Univ
Geeta Institute of Management and Technology, Kanipla, Kurustertra

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Abstract — The work present in this paper involve the development of an “open-source” iris recognition system to verify the uniqueness feature of human eye and also the performance of system as a biometric system. To determine the performance of the present system we use the two databases of digitized grey scale eye images. Iris recognition system is a automatic image segmentation process which is based on support vector machine and this system is able to locate the circular iris and pupil region, and also eliminates the eyelids, eyelashes and reflection present in image. After segmentation the image is normalize into a simple rectangular blocks with the fixed dimensions to check the any inconsistency in image. In the end we extract the phase data from the 1D Log-Gabor filters and then we quantize that data into four level to encode the unique pattern of iris into bitwise biometric template. Keywords—Anti-spoofing, Direct Attacks, Fake IRIS images SVM, Gabor Filter.

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Co-Authors

Er Gaurav Banga
A Fast Algorithm for Unsupervised Image Segmentation using HMRF
Area
Electronics & Communication
Author
Himanshu Bansal
Edition
Volume 1, Issue 1
Org/Univ
Hindu College of Engineering, Sonipat

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Abstract — Image segmentation is a process of dividing the image in to some distinct regions. These region shave specially coherent in nature and have similar attributes. This technique is widely used for image analyses and to interpret the desired feature. In this present paper we will study about the hidden Markov random fields and find its expectation maximization algorithm. The main idea behind developing HMRF is to adjoin the “data faithfulness” and “model smoothness”, that show very similar nature with the active contours, GVF, graph cuts, and random walks. Here we also use the HMRF-EM along with the Gaussian mixture models, and then we use it on color image segmentation process. These algorithms are implemented in MATLAB. In color image segmentation experiments, we observe that the result obtain from HMRF segmentation are much smoother then the direct k-means clustering. The segmented object is much closer to the original shape than clustering. The segmentation time for Bacteria 1, Bacteria 2, SAR & brain images are 0.35, 0.43, 0.12 and 0.12 respectively. The accuracy for Bacteria, Bacteria 2, SAR & brain images are 97.70 %, 98.06%, 98.89% and 97.35 % respectively. Keywords — Image segmentation, Bayesian methods, spatial mixture models, Potts Markov random field, convex optimization.

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Co-Authors

Dr. Naveen Malik
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