Journal of Intelligent & Fuzzy Systems - Volume 35, issue 5

Authors: Kumar, Jitendra | Kumar, Vineet | Rana, K.P.S.

Article Type: Research Article

Abstract: In this paper, a robust fractional order fuzzy proportional derivative plus fractional order integrator (FOFPD+FOI) control structure is proposed to effectively control a nonlinear, coupled, multi-input multi-output, electrically driven three-link rigid robotic manipulator (EDRRM) system. The FOFPD+FOI controller is realized by using non-integer order differentiator and integrating operators in the integer order fuzzy proportional derivative plus integer order integrator (IOFPD+IOI) controller. A comparative study is carried out to assessed the performance of FOFPD+FOI controller with IOFPD+IOI controller, fractional order proportional, integral and derivative (FOPID) controller and integer order PID controller for reference trajectory tracking, noise suppression, disturbance rejection and model …uncertainty. The gains of the controllers were tuned using a meta-heuristic optimization technique cuckoo search algorithm for objective function which is defined as the weighted sum of integral of absolute error and integral of absolute change in controller output. The simulation studies reveal that proposed FOFPD+FOI controller offers much superior performance over PID, FOPID and IOFPD+IOI controllers. Show more

Keywords: PID controller, FOPID controller, IOFPD+IOI controller, FOFPD+FOI controller, cuckoo search algorithm, model uncertainty, noise suppression

DOI: 10.3233/JIFS-169812

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5287-5299, 2018

Authors: Kumar, Jitendra | Kumar, Vineet | Rana, KPS

Article Type: Research Article

Abstract: A two link planar rigid robotic manipulator is a highly nonlinear, coupled and multi-input multi-output system. For its effective control, an intelligent adaptive fractional order fuzzy sliding mode proportional integral and derivative controller (FOFSMCPID) has been presented in this work. Sliding mode controller (SMC) is designed by using exponential law and closed loop stability analysis is demonstrated by using Lyapunov theorem. The chattering in the SMC controller has been effectively reduced with the help of boundary layer along with the fuzzy logic. For tuning of the controller, a weighted sum of integral of absolute error and chatter has been considered …as the objective function to be minimized using cuckoo search optimization algorithm. To demonstrate the efficacy of FOFSMCPID controller, the results have been compared with integer order fuzzy sliding mode proportional, integral and derivative controller (IOFSMCPID), integer order fuzzy sliding mode proportional and derivative controller (IOFSMCPD) and fractional order fuzzy sliding mode proportional and derivative (FOFSMCPD) controller for trajectory tracking, disturbance rejection, noise suppression and model uncertainties. The detailed presented investigations have demonstrated that FOFSMCPID controller exhibits much superior performance over IOFSMCPID, IOFSMCPD and FOFSMCPD controllers. Show more

Keywords: Sliding mode control, fractional order operators, fuzzy logic, cuckoo search optimization algorithm, robotic manipulator

DOI: 10.3233/JIFS-169813

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5301-5315, 2018

Authors: Srivastava, Sachin | P.G., Aiswarya | Gupta, Monika | Prasannakumar, Nikhilesh | Rudola, Ashank | Mallick, Ayushi | Srivastava, Smriti

Article Type: Research Article

Abstract: The robotic arm is one of the most prominent manipulators used in the field of robotics and therefore serves as a benchmark problem in control systems. Recent developments in the field of artificial intelligence demonstrate the use of intelligent control techniques for various systems. This paper presents a neuro-fuzzy based control scheme for a robotic arm with 6 degrees of freedom used for the sorting and placing of coloured balls. A webcam based image acquisition scheme is used to locate and identify various colored balls and subsequently the robotic arm is moved according to required trajectory. The performance of the …proposed neuro-fuzzy controller is compared with a traditional PID control to illustrate the superiority of the intelligent control scheme. Experiments performed on a hardware test bench validate the improvement in performance achieved using the neuro-fuzzy control scheme. Show more

Keywords: Robotic arm, image processing, neuro-fuzzy control, PID

DOI: 10.3233/JIFS-169814

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5317-5327, 2018

Authors: Rathore, Natwar S. | Singh, V.P. | Kumar, Bhavnesh

Article Type: Research Article

Abstract: The usage of water treatment technologies is increasing at a rapid rate due to scarcity of pure water in the world. This paper proposes controller design using grey wolf optimization (GWO) algorithm for water treatment plants. Doha reverse osmosis (RO) water treatment plant is considered for the experimental purpose. Proportional-integral-derivative (PID) controller is designed for the considered Doha RO plant. The proposed method can minimize the error criterion in such a way that good transient responses for flux and conductivity are obtained. To show the efficacy of GWO based controller, other state-of-art optimization techniques are also used for tuning of …controller parameters. Comparative simulations show that GWO algorithm is more efficient and suitable over other algorithms for tuning the parameters of controller for Doha RO water treatment plant. Show more

Keywords: Conductivity, flux, grey wolf optimization (GWO), PID controller, reverse osmosis (RO), water treatment plant

DOI: 10.3233/JIFS-169815

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5329-5336, 2018

Authors: Gupta, Sangeeta | Upadhyaya, Varun | Singh, Ayush | Varshney, Pragya | Srivastava, Smriti

Article Type: Research Article

Abstract: In this paper, a modified Artificial Bee Colony algorithm is proposed. Then estimation of the parameters of fractional order chaotic systems is performed using the proposed Artificial Bee Colony algorithm and Ant Colony algorithm. For the purpose of modeling, four fractional order chaotic systems viz. Financial System, Chen System, Lorenz’s system and 3 Cell Net system have been considered. Each chaotic system is defined by a set of fractional-order differential equations. These equations comprise of several variables – model parameters, derivative orders, and initial conditions. For the system’s entire state and future values to be known, the values of all …the parameters have to be estimated to a reasonable degree of accuracy. It is a general practice to use modern evolutionary algorithms to solve such problems. Simulations on both nature inspired optimization algorithms are performed and estimated values of parameters determined. Comparisons with existing scheme of Artificial Bee Colony based parameter estimation are also performed. Observations reveal that the results of the modified ABC algorithm outperform those of other techniques for all the four cases. Show more

Keywords: Artificial bee colony optimization (ABC), ant colony optimization (ACO), fractional order chaotic systems

DOI: 10.3233/JIFS-169816

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5337-5344, 2018

Authors: Gopal, | Srivastava, Smriti | Kalra, Vishal | Joshi, Ashish

Article Type: Research Article

Abstract: In biometrics, feature extraction is an important step to extract the unique information from physiological or behavioural characteristics of individual such as palmprint, faceprint, speech and gait. In this paper, a novel feature extraction technique is proposed for person authentication using palmprint based on gradients of gaborized image called Oriented Gabor Gradients (OGG). To validate the proposed feature extraction method, palmprint recognition has been tested on both left and right palm of IITD database of 230 persons, PolyU palmprint database of 386 persons. The proposed OGG method is compared with histograms of oriented gradients (HOG), gabor transform, gaussian membership based …features (GMF), absolute average deviation (AAD) and mean features. Experimental results show primacy of the proposed technique over the existing ones in the literature and achieved higher accuracy. Lastly, K-nearest neighbor is used to validate the matching stage. Show more

Keywords: Feature extraction, oriented gabor gradients, biometrics, palmprint, K-nearest neighbor

DOI: 10.3233/JIFS-169817

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5345-5351, 2018

Authors: Tiwari, Raman | Saxena, Manav Kumar | Mehendiratta, Prajna | Vatsa, Kshitij | Srivastava, Smriti | Gera, Rajat

Article Type: Research Article

Abstract: Market Segmentation has been a key area of implementation of soft computing techniques in E-commerce applications. Various techniques have been used to achieve maximum results in the classification of the ecommerce market. From stochastic techniques to neural networks, there is a plethora of techniques that have been applied. In this paper, we use self organising Maps (SOMs) an unsupervised learning technique to study the various factors which can be used to segment the market. On the other hand supervised learning techniques such as Nearest Neighbour (NN) and Support vector machine (SVM) are used to quantitatively classify the purchase behaviour based …on various factors. The better classification technique is identified through appropriate measures. Further, evolutionary algorithms are used to augment the performance of these classification techniques. Analysis of the results and various factors affecting it is also performed. Show more

Keywords: Market segmentation, SVM, KNN, PSO, GSA

DOI: 10.3233/JIFS-169818

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5353-5363, 2018

Authors: Bhardwaj, Aditya | Rama Krishna, C.

Article Type: Research Article

Abstract: In cloud computing datacenter infrastructure, virtualization has enabled service providers to create abstraction of their physical resources and increased the infrastructure utilization. At the datacenter, cloud users services are implemented using Virtual Machines (VMs). With the popularity of cloud paradigm, numbers of enterprise applications deployed over cloud systems are increasing. This shift in cloud paradigm has brought new challenges of server consolidation, load balancing, resource management, and server fault situation. Cloud managers trigger VM migration to achieve all these challenges. VM migration allows migration of running VMs from one datacenter to another. In migration process to keep the VM alive, …VM memory pages are transferred in multiple iterations. Thus, there is an increase in the requirement of network resources consumption during migration process. However, inaccurate bandwidth allocation for a VM migration request can lead to performance degradation. Therefore, there is a need to devise an efficient bandwidth allocation strategy. In this paper, we propose a multistage bandwidth allocation technique which aims to minimize the bandwidth allocation at each round of migration mechanism. The proposed technique is implemented by the simulation carried out in Matlab software. To ensure the applicability for real-time hosted applications, multistage scheme is evaluated using both low and high dirty rate conditions. We also considered distributed cloud deployment situation by using sequential and multiple VM migration test cases. The results demonstrated shows, as compared to existing VM migration bandwidth allocation schemes, our proposed technique outperform in terms of downtime, migration time, bandwidth provisioned and migration iterations count. Additionally, we also explored multistage technique with fuzzy logic to improve the VM selection process. The significance of this study is that, multistage technique allows bandwidth allocation in each iteration as variable to current dirty rate scenario, thereby increasing the revenue of cloud providers. Show more

Keywords: Cloud computing, virtualization, pre-copy VM migration, bandwidth, migration time, downtime, migration iteration count

DOI: 10.3233/JIFS-169819

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5365-5378, 2018

Authors: Kumar, Devender | Chand, Satish | Kumar, Bijendra

Article Type: Research Article

Abstract: Most of the user authentication schemes are based on smart cards; however, a smart card requires additional infrastructure that includes card reader, leading to more deployment cost. Recently, Kumari et al. have discussed a user anonymous authentication scheme that uses common storage device such as USB stick, mobile phone, etc. rather than using a smart card. The common storage device is used to store some authentication information issued by the server. We cryptanalyze the Kumari et al.’s scheme and find that it is not resistant to the device stolen, privileged insider and denial of service attacks. In this paper, we …propose a user authentication scheme based on public key cryptography to overcome its drawbacks. We show its formal security analysis using random oracle model and discuss its informal security analysis to show that it is resistant to the various known attacks. We simulate it using the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool for its formal security verification. We compare our scheme with the related schemes and show that it has better communication cost and provides more security features. Show more

Keywords: Common storage device, user anonymity, user authentication, denial of service attack, public key cryptography

DOI: 10.3233/JIFS-169820

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5379-5390, 2018

Authors: Shah, Arjun Kumar | Yadav, Ashish | Malik, H.

Article Type: Research Article

Abstract: Rolling bearing is an important mechanical element therefore its condition monitoring is necessary to ensure the steadiness of industrial machineries. In this paper, the open source vibration data have been processed using advanced signal processing techniques such as EMD method to extract more symmetric waves (IMFs) out of non-linear and non-stationary vibration signals. In addition to this, statistical time-domain and frequency-domain features are calculated and then J48 Decision Tree Algorithm is used for feature selection. The processed input signals have been used for comparative study of five different types of Artificial Neural Network (ANN) classifiers. The performance characteristics of MLP, …PNN, GRNN, RBF and LVQ are shown in results and discussion section. Show more

Keywords: Rolling bearing, signal processing, IMFs, empirical mode decomposition (EMD), fault detection, artificial neural networks (ANNs), MLPs, PNN, GRNN, RBF, LVQ

DOI: 10.3233/JIFS-169821

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5391-5402, 2018