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Finding the Influential Overlap Nodes in Communities

Finding the Influential Overlap Nodes in Communities

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IEEE International Conference on Computational Intelligence & Communication technology (CICT)

作者： Rhythm Walia Geetika Sarna M.P.S. Bhatia Computer Engineering Department Netaji Subhas Institute of Technology New Delhi India

Real world networks comprise of number of communities that are weakly linked to each other. Discovering such communities is an important task in social networks. Social networks also consist of overlapping communities in which some nodes are common to multiple communities. While existing approaches give promising results on detecting the overlapping communities, they neglect the importance of overlap nodes in the communities. Overlap nodes are the nodes which act as interface between multiple communities. In this paper, we first find the overlapping communities and then find the influence and importance of overlap nodes in the communities to which it belongs.

关键词： Communities Facebook Complexity theory Conferences Data mining Complex networks

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Minimum multiplier implementation of a comb filter using lattice wave digital filter

Minimum multiplier implementation of a comb filter using lat...

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IEEE India Conference (INDICON)

作者： Richa Barsainya Meenakshi Aggarwal Tarun Kumar Rawat Division of Electronics and Communication Engineering Netaji Subhas Institute of Technology New Delhi

ISBN: (纸本)9781467365413

The minimum hardware and low power dissipation are the main concern for efficient filter implementation. A method to design and implement the comb lattice wave digital filter with only one multiplier, small area and low power dissipation is proposed. Lattice wave digital filter is used for filter realization due to its excellent properties. A design level area optimization is done by converting constant multipliers into shifts and adds using canonical signed digit code (CSDC) technique. The filter is implemented and successfully tested on Xilinx Spartan XC3s200-4ft256 field programmable gate array (FPGA) device. The effectiveness of the proposed design method is proven with an example.

关键词： Finite impulse response filters Adders Ports (computers) Transfer functions Field programmable gate arrays Frequency response

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Online tuning of fractional order PI controller using particle swarm optimization

Online tuning of fractional order PI controller using partic...

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International Conference on Computing, Communication & Automation (ICCCA)

作者： Siddharth Agarwal Siddhant Mathur Puneet Mishra Vineet Kumar K.P.S. Rana Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781479988914

This article deals with the speed control of DC motor using a Fractional Order Proportional Integral (FOPI) controller. In this paper, the Particle Swarm Optimization algorithm (PSO) is implemented to optimally tune the controller gains of the FOPI controller for setpoint tracking and disturbance rejection where the optimization performance index is taken as Integral Time Weighted Absolute Error (ITAE). A comparative study of the online and offline tuning of the controller parameters has been made and the gains are used to investigate the run time performances in the LabVIEW™ environment. National Instruments (NI) based LabVIEW™ environment is used for all studies and MS15 DC motor module is taken as the plant under analysis. From the results obtained, it can be concluded that the parameters of the controller tuned in real time give better performance than those designed offline in speed regulation of the DC motor.

关键词： Tuning DC motors Optimization Process control Algorithm design and analysis Mathematical model Data acquisition

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Novel wave digital equivalents of passive elements

Novel wave digital equivalents of passive elements

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IEEE India Conference (INDICON)

作者： Richa Barsainya Tarun Kumar Rawat Division of Electronics and Communication Engineering Netaji Subhas Institute of Technology New Delhi

The wave digital equivalent of passive elements using wave theory and bilinear transform is formulated in yesteryear, but the bilinear transform produces large distortion in the mid and high frequency range. In this paper, a novel wave digital equivalents of analog passive elements are developed. Instead of bilinear transform, two different transforms are used for analog to digital (A/D) conversion in order to overcome the limitation of the aforementioned transform. The comparison of transforms along with the resultant wave digital equivalents of passive elements using these transforms and wave theory is introduced. In this paper, it is also considered that practically, analog elements are not ideal, but leaky. So, wave digital equivalents of leaky analog elements are also proposed.

关键词： Transforms Capacitors Inductors Resistors Flyback transformers Analog-digital conversion Ports (computers)

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Comparative study of some optimization techniques applied to Jacketed CSTR control

Comparative study of some optimization techniques applied to...

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Pradeep Gupta Vineet Kumar K.P.S. Rana Puneet Mishra Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

In this paper, the performance of four optimization techniques i.e. Grey Wolf Optimizer (GWO), Backtracking Search Algorithm (BSA), Differential Evolution (DE), and Bat Algorithm (BA) have been investigated for optimizing the scaling factors of fuzzy proportional-integral controller (FPIC). Jacketed continuous stirred tank reactor (CSTR) has been considered for step set-point and trajectory tracking of reactor temperature. The present work has been simulated in LabVIEW™. The performance of aforementioned algorithms has been evaluated by comparing the cost function Integral of Absolute Error for step set-point and trajectory tracking. On the basis of simulation results, it can be inferred that, GWO outperformed other optimization algorithms for all considered cases.

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Split-range control of a Jacketed CSTR using self-tuning fuzzy PI controller

Split-range control of a Jacketed CSTR using self-tuning fuz...

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International Conference on Advances in computer engineering and Applications (ICACEA)

作者： Pradeep Gupta K.P.S. Rana Vineet Kumar Puneet Mishra Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781467369121

CSTR is a highly non-linear process and the nonlinear behavior of such processes requires other methods than conventional control. This paper addresses a novel application of Self-tuning Fuzzy PI Controller (STFPIC) to a Split-range Control strategy for circulation of cold fluid or hot fluid through Jacketed Continuous Stirred Tank Reactor (CSTR) in cascade control mode. In the primary loop STFPIC was used while in the secondary loop conventional proportional controller was implemented. Self-tuning mechanism of fuzzy PI controller is implemented with the help of a gain multiplier whose value is updated based on the instant error and rate of change of error. Grey Wolf Optimizer is used for tuning of primary as well as secondary controller gains in order to reduce Integral of Absolute Error (IAE). The overall approach has been simulated in LabVIEW™ environment and a comparative study of STFPIC with conventional PID controller have been presented in this paper. Based on the intensive simulation studies it is found that the STFPIC outperformed PID for set-point tracking by 62.5% and for disturbance rejection by 63.4%, in terms of IAE.

关键词： Process control Fluids Inductors Temperature control Chemical reactors Valves Temperature distribution

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Recursive Wideband Linear Phase Digital Differentiators and Integrators

Recursive Wideband Linear Phase Digital Differentiators and ...

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International Conference on Computing Communication Control and Automation (ICCUBEA)

作者： Dharmendra K. Upadhyay Division of Electronics and Communication Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781479968930

New designs of recursive digital differentiator and integrator are obtained by optimizing the pole-zero locations of existing design of recursive digital differentiator over a specific Nyquist band. These obtained designs have not more than 0.37% relative errors in magnitude responses over wideband. Further, the zero-reflection approach is applied to improve the phase responses of proposed and existing recursive digital differentiator and integrator designs. Finally, the obtained recursive digital differentiator and integrator designs of second-order systems have nearly linear phase response almost over the full Nyquist band with preserving the same magnitude response as of the original one. These designs are more suitable for real-time control and signal processing applications.

关键词： Wideband Linearity Finite impulse response filters Poles and zeros Real-time systems

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Comparison of sigmoidal FFANN training algorithms for function approximation problems

Comparison of sigmoidal FFANN training algorithms for functi...

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International Conference on Computing for Sustainable Global Development (INDIACom)

作者： MPS Bhatia Veenu Pravin Chandra Division of Computer Engineering Netaji Subhas Institute of Technology (NSIT) Dwarka New Delhi INDIA Netaji Subhas Institute of Technology New Delhi Delhi IN Guru Gobind Singh Indraprastha University New Delhi Delhi IN

The estimation of unknown function from a number of data inputs has number of various applications like in engineering, Artificial intelligence, Statistics, Artificial Neural Networks, Genetic algorithms etc. Many papers have described the individual methods. But very less is known about the comparative performance of various methods. In this paper we give the comparative performance of the neural network using ten different approximation functions and twelve various training algorithms. Our study uses MATLAB 2013a 8.1 Neural Network toolbox for experimentation. The performance of the method on the neural network depends on the approximation function type and the various properties of training data. We found that Bayesian Regulation Backpropagation method proved to be best in performance using function 6 given in the paper out of twelve different algorithms used.

关键词： Backpropagation Training Approximation methods Artificial neural networks Approximation algorithms computer architecture

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Gravitational search algorithm based design of optimal wideband IIR digital differentiator

Gravitational search algorithm based design of optimal wideb...

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IEEE India Conference (INDICON)

作者： Manjeet Kumar Tarun Kumar Rawat Aman Jain Division of Electronics and Communication Engineering Netaji Subhas Institute of Technology Dwarka Delhi India

This paper aims to design IIR digital differentiator by adopting a new heuristic algorithm called a gravitational search algorithm (GSA). In GSA, agents are treated as the masses and the force of attraction between agents is calculated based on Newton's gravitation law to find optimal solutions to the problem. The agent with greater mass is treated as the near optimal solution and their position is a reflection of the solution. Simulations to find optimal filter coefficients of second, third and fourth order differentiators using GSA have been performed. Total absolute magnitude error and maximum phase error are the performance measures that are used to evaluate performance of the proposed differentiators. The result of the proposed GSA based approach has been compared with the standard existing algorithms like PSO, GA, SA, pole zero (PZ) and segment rule. Simulations show that GSA gives superior results when compared with the optimization abilities of other standard algorithms.

关键词： Algorithm design and analysis Heuristic algorithms Genetic algorithms Sociology Statistics Force Standards

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Development of Bat Algorithm toolkit in LabVIEW™

Development of Bat Algorithm toolkit in LabVIEW™

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International Conference on Computing, Communication & Automation (ICCCA)

作者： Karan Singh Thakur Vineet Kumar K.P.S Rana Puneet Mishra Jitendra Kumar Sreejith S. Nair Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781479988914

Meta-heuristic optimization algorithms are very useful tool for obtaining an optimal solution of engineering optimization problems. Bat Algorithm (BA) is one of the recent meta-heuristic algorithms. It has been claimed to be superior to its counter parts. On the other hand LabVIEW ™ is a versatile software tool being utilized for measurement and control applications in various engineering domains worldwide. The standard LabVIEW ™ package is only supplied with the Differential Evolution (DE) Toolkit for optimization. At times need was felt to develop a better optimization support in the LabVIEW ™ package. In this work a genuine effort has been made for this task and a BA Toolkit has been developed in LabVIEW ™ . The detailed development strategy, component descriptions and their interfaces and a comparison of the obtained results with the DE optimization toolkit has been presented in this paper for a set of classical benchmark functions.

关键词： Optimization Sociology Statistics Benchmark testing Upper bound Automation Instruments

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