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Kaur, Ranjit
- Comparison of Simulink Based Fopid and Pid Controller
Abstract Views :162 |
PDF Views:2
Authors
Amrit Kaur
1,
Ranjit Kaur
1
Affiliations
1 Department of Electronics and Communication Engineering, IN
1 Department of Electronics and Communication Engineering, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 17, No 1 (2016), Pagination: 97-111Abstract
A controller is a device that is used to regulate the behavior or response of a process so as to get desired response.PID controllers are used in almost all industries because of its simplicity, clear functionality and broad applicability. However, PID tuning if done manually and using traditional techniques is one of the obstacle for having efficient control. Research is going on in Fractional calculus, fuzzy, neural and other optimization techniques to improve its tuning. This paper presents the comparison of simulink based FOPID and PID controller for three different processes by implementing on 1st order, higher order and inverted pendulum systems. It has been found that the results show the superiority of FOPID controller over PID controller.Keywords
Classical PID, FOPID, Fuzzy PID, Benchmark systems, FOMCON Toolbox.- Survey on FIR Digital Filter Design
Abstract Views :100 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 17, No 1 (2016), Pagination: 266-269Abstract
FIR filters are known to have many desirable features such as guaranteed stability and linear phase characteristics at all frequencies. Various techniques have been used in the past to design the filter for removing noise and achieving exact frequency response with high stop band attenuation and low stop band and pass band ripples. The paper presents the review of various such optimization techniques that have been used in the past for getting the exact frequency response of FIR filter.Keywords
Finite Impulse Response, Infinite Impulse Response, Genetic Algorithm, Particle Swarm Optimization, Craziness based Particle Swarm Optimization Technique.- Particle Swarm Optimization Algorithm for Designing BP and BS IIR Digital Filter
Abstract Views :117 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication, Punjabi University, Patiala, IN
2 Department of Computer Science, Sant Longowal Institute of Engineering and Technology, Longowal, IN
1 Department of Electronics and Communication, Punjabi University, Patiala, IN
2 Department of Computer Science, Sant Longowal Institute of Engineering and Technology, Longowal, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 17, No 1 (2016), Pagination: 270-276Abstract
In this paper band pass (BP) and band stop (BS) infinite impulse response (IIR) filter is designed using particle swarm optimization (PSO) algorithm.The magnitude response of the IIR filter is approximated using L1-approximation error criterion. The PSO algorithm is a optimization technique inspired by genetics and natural evolution. The method enhances the search capability and provides a fast convergences for calculating the optimal filter coefficients. The filter designed based on L1-approximation error possesses flat passbands and stopbands while keeping the transition band comparable to that of the least square design. A comparison has been made with other design techniques, demonstrating that PSO with enhanced diversity and convergence gives better or at least comparable results or designing digital IIR filters than the existing genetic algorithm based methods.Keywords
Digital IIR Filters, Particle Swarm Optimization, L1-Approximation Error, Magnitude Response, Stability.- Fuzzy Rule based Expert System for Evaluating Defaulter Risk in Banking Sector
Abstract Views :142 |
PDF Views:0
Authors
Affiliations
1 School of Computer Science Engineering, Lovely Professional University, Phagwara - 144411, Punjab, IN
1 School of Computer Science Engineering, Lovely Professional University, Phagwara - 144411, Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 28 (2016), Pagination:Abstract
Background/Objectives: Banking sector faced many problems like credit assessment, credit worthiness, and credit risk etc. Many techniques are used to solve these problems in artificial intelligence. But these problems are not fully resolved in previous years. Methods/Statistical Analysis: One of the most important problems is credit risk as customer defaulter risk. Recent studies have not discussed about defaulter or non-defaulter customer. This research work has discussed about customer’s defaulter risk as well as credit risk. Findings: A fuzzy expert system has been designed which can categorized customer as defaulter and non- defaulter. The defaulter risk is calculated by considering factors as CS (CIBIL Score), LVR (Loan to Value Ratio), AAL (Already Availed Loan), IRF (Income Ratio Factor). Data of customers are collected from Indian Overseas Bank (IOB) branches. Different defuzzification methods are used to verify the result of customers. It also verified by the expert in banking domain. Further it is also tested on the data of other branches of banks. Application/Improvements: The system can be helpful for the bank employees in decision making process. In addition to this the system can be used for training new employee for loan approval tasks.Keywords
Banking Sector, Credit Risk, Defaulter, Fuzzy Expert System, Intelligent System.- Study of Data Flow Graph of Finite Impulse Response Digital Filter
Abstract Views :117 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 SLIET, Longowal, Punjab, IN
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 SLIET, Longowal, Punjab, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 20 (2016), Pagination: 99-102Abstract
Processing of signals requires designing and implementation of systems called Filters. Filter design depend on its type, structure and the method to which it comes in practice. This paper discussed the various realization of Digital Finite-Duration Impulse Response (FIR) filters with its graphical representation. The purpose of using the realization and the graphical representation is to find the critical and shortest path using different algorithm. The realization can be done using FDA tool or coding in MATLAB. The graphical representation way is done in form of Data Flow Graph in term of nodes and edges.- Study of Different Adaptive Filtering Algorithms for Reduction in Baseline Wander in ECG Signal
Abstract Views :90 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 SLIET, Longowal, Sangrur, Punjab, IN
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 SLIET, Longowal, Sangrur, Punjab, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 20 (2016), Pagination: 141-144Abstract
The electrocardiogram (ECG) is the graphical representation of heart's functionality. It is an important tool used for the diagnosis of cardiac abnormalities. ECG signals are usually weak and susceptible to external noise and interference. Adaptive filter is a good tool to reduce the influence of ambient noise/interference on the ECG signals. Adaptive filter uses Least mean squares (LMS) algorithm, as one of most popular adaptive algorithms for active noise cancellation (ANC). The goal of the paper is to show the comparison based on signal to noise ratio of different adaptive filter algorithms like LMS, Normalized LMS (NLMS), Normalized Signed Regressor LMS (NSRLMS), Recursive Least Squares (RLS), Normalized Sign-Sign LMS (NSSLMS), used for the analysis of ECG signals with noise. The filter needs two input: the signal (primary input) and an impulse correlated with the deterministic component (reference input). Several signals to noise ratio were considered. The adaptive filters essentially minimize the mean-squared error between a primary input, which is the noisy ECG, and a reference input, which is either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input.Keywords
ECG Signal, Noise, Adaptive Filtering, LMS, NLMS, RLS, NSSLMS.- Real Coded Genetic Algorithm for the Design of Digital Differentiator
Abstract Views :97 |
PDF Views:2
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 Department of CSE, Sant Longowal Institute of Engineering & Technology, Longowal, IN
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 Department of CSE, Sant Longowal Institute of Engineering & Technology, Longowal, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 20 (2016), Pagination: 145-149Abstract
Digital Differentiator (DD) play a very important role to find out and approximate the first, second, or higher-order derivative of a digital signals. In this paper real-coded genetic algorithm (RCGA) is proposed for the design of finite impulse response (FIR) digital differentiator. The intent of this paper is to apply a real-coded genetic algorithm with arithmetic-average-bound-blend (AABBX) crossover and wavelet mutation operator for the design of digital differentiator. The values of the filter coefficients are optimized with RCGA approach to satisfying prescribed specifications. The proposed method is, not only accurate and robust but also optimal in the least-squares sense.Keywords
Digital Differentiator (DD), Finite Impulse Response (FIR) Filter, Least-Squares Error, Real-Coded Genetic Algorithm (RCGA), McClellan-Parks Algorithm.- A Survey:Generalized Multiprotocol Label Switching Over Optical Networks
Abstract Views :92 |
PDF Views:2
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 Department of CSE, Sant Longowal Institute of Engineering and Technology, Longowal, IN
3 Ambala College of Engineering & Applied Research, Ambala, IN
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 Department of CSE, Sant Longowal Institute of Engineering and Technology, Longowal, IN
3 Ambala College of Engineering & Applied Research, Ambala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 20 (2016), Pagination: 156-159Abstract
GMPLS extends MPLS to provide the control for devices in any of following domains: packet, time, wavelength, and fiber. In this way, data from multiple layers are switched over Label Switched Paths (LSPs). The router is equipped with optical-to electrical and electrical-to-optical converters used respectively to terminate and generate optical signals. These interfaces are directly connected to the input and output ports of the optical switch, while the remaining ports accommodate the fibers linking to neighboring nodes. Generalized Multi-Protocol Label Switching (GMPLS) is being developed by the IETF as the industry standard for transport network control planes. In this paper, we tried to analyze the future research in GMPLS networks.Keywords
MPLS, GMPLS, QOS, Optical Networks, LSP.- Survey on Detection of Various Retinal Manifestations of Eye
Abstract Views :90 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 Department of Computer Engineering, Punjabi University, Patiala, IN
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN
2 Department of Computer Engineering, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 20 (2016), Pagination: 177-183Abstract
Identification of retinal diseases using various techniques is a very important area of ophthalmology. Traditional methods are highly subjective which are based on manual observation and highly prone to error. So, it is very essential to establish an automatic system for screening vision threatening diseases like diabetic retinopathy and others for huge number of people. Now days, image processing has become a very effective tool for the automated detection of abnormalities in retinal images. In this paper, the basic terminology related to automatic detection of various retinal manifestations is discussed. It also describes the steps required for automatic detection as well as the techniques used to implement these steps in recent years.Keywords
Diabetes, Diabetic Retinopathy, Fundus Images, Exudates, Haemorrhage.- Fuzzy Expert System to Calculate the Strength/ Immunity of a Human Body
Abstract Views :176 |
PDF Views:0
Authors
Affiliations
1 School of Computer Science Engineering, Lovely Professional University, Phagwara - 144411, Punjab, IN
1 School of Computer Science Engineering, Lovely Professional University, Phagwara - 144411, Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objectives: Determining the level of strength of patients’ body is essential for an Ayurvedic Physician to provide the appropriate dose of medicines to them. The proposed work is a stepping stone towards a vigilant and proper diagnosis that will surely leads to an efficacious treatment. Methods/Statistical Analysis: A fuzzy logic based expert system is designed to calculate the quality of the seven tissues (Lymph, Blood, Muscle, Fat tissue, Bone, Bone Marrow, Reproductive tissues) and mind of a human body. Based on that quality the overall body strength is computed. All the required parameters are finalized after consulting an Ayurvedic Expert during knowledge acquisition phase. Findings: The accuracy and veracity of the system is evaluated by ranking all results of different defuzzification methods. Data collection is performed by survey method and results were highlighted as false positives and false negatives after verifying from expert. Maximum results depict that the outputs produced by the proposed system matches with those of Ayurvedic Expert. Application/ Improvements: The proposed system will guide the physicians to plan the dose of medicines and treatment for the patients. This fuzzy based system will prove itself as a learning kit for Ayurveda and Vedic practitioner.Keywords
Defuzzification, Examination of Strength, Fuzzy Expert System, Fuzzy Logic, Fuzzification, Inference System.- Review of Retiming based Digital Filter for Low Power Consumption
Abstract Views :112 |
PDF Views:0
Authors
Mandeep Kaur
1,
Ranjit Kaur
1
Affiliations
1 Deptt. of ECE, Punjabi University, Patiala, IN
1 Deptt. of ECE, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 22 (2016), Pagination: 769-775Abstract
The power dissipation is the limiting factor in the digital signal processing. This paper provides the review of the low power techniques such as voltage scaling, positioning of the flip flop, reduce the switching activity along with the transformation techniques such as retiming, pipelining, and folding. Digital filters are the most common block in the signal processing applications. They are represented by data flow graph. Applying the retiming techniques, low power and high speed digital filter can be achieved. Retiming can be done through pipelining and cut set retiming. Low power filters can be achieved with the supply voltage scaling and the high speed can be controlled by minimization of register and clock period.- Toxic Impacts of Cypermethrin on Behavior and Histology of Certain Tissues of Albino Rats
Abstract Views :177 |
PDF Views:0
Authors
Affiliations
1 Department of Zoology, S.G.N. Khalsa College, Sri Ganganagar, Rajasthan, IN
2 Departments of Veterinary Pathology, GADVASU, Ludhiana, IN
3 Veterinary Pharmacology and Toxicology, GADVASU, Ludhiana, IN
1 Department of Zoology, S.G.N. Khalsa College, Sri Ganganagar, Rajasthan, IN
2 Departments of Veterinary Pathology, GADVASU, Ludhiana, IN
3 Veterinary Pharmacology and Toxicology, GADVASU, Ludhiana, IN