Informatics Publishing Limited

G. P. Painkra ¹, Shiv K. Shrivastava ², S. S. Shaw ², Rajeev Gupta ²

Affiliations
1 R.M.D., College of Agriculture and Research Station, AMBIKAPUR (C.G.), IN
2 Department of Entomology, College of Agriculture, Indira Gandhi Krishi Vishwavidyalaya, RAIPUR (C.G.), IN

Abstract

Studies on the succession of various insect pollinators/ visitors on niger crop was undertaken during the Rabi 2011-12. Total 15 species of insect pollinators/ visitors were found visiting on niger flowers. Amongst the pollinators/visitors, Apis cerana indica appeared first on niger flower followed by Apis florea, Danaus chrysippus, Eristalis sp., Pelopidas mathias, Apis dorsata, Musca domestica, Nazara virudula, Dysdercus cingulatus, Leptocorisa acuta, Amata passelis, Chrysomya bezziana, Coccinella septumpunctata, Vespa cincta and sarcophaga sp. They were found visiting on niger flower throughout the bloomimg period.

Keywords

Niger Crop, Succession of Insect Pollinators/Visitors.

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Rita Saini ¹, Rajeev Gupta ¹, Girish Parmar ²

Affiliations
1 Electronics Engineering, RTU Kota, Kota, IN
2 Electronics Engineering, Modi Institute of Technology, Kota, IN

Abstract

This Paper tries to explore the potential of using artificial intelligence method in controllers and their advantages over conventional methods. PID controller, being the most widely used controller in industrial applications, needs efficient method to control the different parameters of the plant. This Paper asserts that the conventional approach of PID tuning is not very efficient due to the presence of non-linearity in the system of the plant. The output of the conventional PID system has a quite high overshoot and settling time. Tuning of the PID parameters continues to be important as these parameters have a great influence on the stability and performance of the control system. This paper proposes a method based on the ant colony optimization technique (ACO) to determine the parameters of the Proportional Integral Derivative (PID) controller for getting best performance for a given plant. The method searches the PID parameter that realizes the expected step response of the plant. It is based upon maximization of a fitness function. The plant model is represented by the transfer function T(s) of a low damping plant. The PID parameter is computed by ACO-based PID tuning method. The method show the effectiveness of the proposed tuning method.

Keywords

Ant Colony Optimization, PID Controller.

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G. Madhu ¹, M. R. Soangra ¹, Rajeev Gupta ¹

Affiliations
1 Department of Medicine, Monilek Hospital and Research Centre, Jawahar Nagar, Jaipur, IN

Abstract

Dietary surveys in indian urban areas show a defective cardioprotective diet in all the socio-economic strata. More literate and upper socioeconomic status (SES) persons consume more calories, saturated fat and fruits and vegetabies and have lower intake of unsaturated fats and n-s fatty acids, persons of lower SES have greater consumption of unsaturated fats lower consumption of fruits and vegetables.

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Neeraj Jain ¹, Girish Parmar ¹, Rajeev Gupta ¹

Affiliations
1 Department of Electronics Engineering, Rajasthan Technical University, IN

Abstract

In this paper swarm intelligence based PID controller tuning is proposed for a nonlinear ball and hoop system. Particle swarm optimization (PSO), Artificial bee colony (ABC), Bacterial foraging optimization (BFO) is some example of swarm intelligence techniques which are focused for PID controller tuning. These algorithms are also tested on perturbed ball and hoop model. Integral square error (ISE) based performance index is used for finding the best possible value of controller parameters. Matlab software is used for designing the ball and hoop model. It is found that these swarm intelligence techniques have easy implementation & lesser settling & rise time compare to conventional methods.

Keywords

Swarm Intelligence, Ball and Hoop System, PID Controller, Integral Square Error.

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Jeetendra Agarwal ¹, Girish Parmar ¹, Rajeev Gupta ¹

Affiliations
1 Department of Electronics and Communication Engineering, Rajasthan Technical University, IN

Abstract

The water level of the U-tube steam generator (UTSG) in a nuclear power unit, which is an important process parameter, must be maintained in a safe range whether the unit is working under fixed or variable conditions. In this paper, a higher order UTSG model derived from the state equations is reduced using Balanced Truncation technique. Two controllers using Fuzzy logic and LQR techniques have been designed for the reduced UTSG model to control its water level. Comparison of these two controllers has also been shown through the simulation results. Also, a comparative analysis of the reduced order model and a previously developed UTSG model is presented by simulating both UTSG models with Fuzzy Logic and LQR techniques and the results are compared.

Keywords

Nuclear Reactor, UTSG Model, Model Order Reduction, LQR, Fuzzy Logic.

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Anil Kumar , Rajeev Gupta

Abstract

The paper Present to design PID controller parameters for an unstable Automatic Voltage Regulator system using Particle swarm optimization (PSO). The design goal is to minimize the integral errors and reduce transient response by minimizing overshoot, settling time and rise time of step response. First an objective function is defined, and then by minimizing the objective functions using real-coded PSO, the optimal controller parameters can be assigned. The avr system taken for case study is inherently unstable, highly nonlinear and after tuning of PID using PSO, results stable system.

Keywords

AVR system, Feedback System, Optimization, PID controller, PSO

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Mahendra Kumar Pandey ¹, Girish Parmar ¹, Rajeev Gupta ¹

Affiliations
1 Department of Electronics Engineering, Rajasthan Technical University, IN

Abstract

Due to development of the internet technologies and other services, requirement of rightful ownership and copyright is highly required. Hence to protect the copyrighted data from unauthorized user, a robust non-blind hybrid color image watermarking scheme is presented. In this proposed scheme, we use color watermark instead of gray watermark which is generally used in most of the existing digital image watermarking techniques. YCbCr color space used to separate the R, G and B channel of images. Y channel of color watermark is embedded into corresponding Y channel of cover image using proposed scheme. Arnold transform are used to scramble the watermark image before embedding process in order to provide more security. The singular value of bands is going to embed with singular values of watermark by making use of variable scaling factor (α). As original image is required at the time of extraction of watermark hence propose scheme belong to non-blind technique group. The two-fidelity parameter namely Peak signal to noise ratio (PSNR) and structural similarity (SSIM) index are used to measure the imperceptibility whereas similarity between original and extracted watermark is measured by using normalized correlation coefficient (NCC). We also compared the results of proposed scheme with other existing watermarking schemes. The experimental results prove effectiveness of the proposed image watermarking scheme in term of robustness and imperceptibility.

Keywords

Watermarking, Copyright Protection, Stationary Wavelet Transform, Singular Value Decomposition (SVD), Arnold Transform, PSNR, SSIM, NCC.

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Mohit Soni ¹, Sapna Gupta ¹, Rajeev Gupta ¹

Affiliations
1 Department of Electronics Engineering, Rajasthan Technical University, IN

Abstract

Optimization techniques serve as significantly easier yet one of the best methods to tune PID controllers. Response of these techniques are unforeseeable and usually vary on the basis of different parameters. Fractional order controllers provide a more accurate control in comparison to traditional PID controllers. This paper deals with the Concentration control of an Isothermal CSTR using FOPID Controller, for which a comparative study of a newly developed algorithm, teaching learning based optimization (TLBO) algorithm with the very popular Particle swarm optimization (PSO) algorithm is performed. Both PSO and TLBO are population based algorithms where PSO was inspired by behavior of animal groups while TLBO got inspiration from the idea of learning of a group of students and the effect of teacher on them. A comparative analysis of different Performance Indices is also provided.

Keywords

CSTR, FOPID Controller, Particle Swarm Optimisation, Teaching Learning Based Optimization.

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Rekha ¹, Rajeev Gupta ²

Affiliations
1 Department of Computer Science and Applications, Maharishi Markandeshwar (Deemed to be University), Mullana (Ambala), IN
2 Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana (Ambala), IN

Abstract

Due to the advancement of wireless communication interchanges, electronic technology, and micro-electromechanical devices, Wireless Sensor Network (WSN) has got advanced as a promising zone of research. WSN consists of a collection of sensor nodes having a little calculative capability, limited memory, and constrained energy assets. Clusters are formed from the collection of sensor nodes whose leader node (Cluster head) can send the sensed information from hubs to the BS. To condense the power consumption and boost group longevity, the cluster head executes data accumulation. This paper discusses many algorithms based on deterministic, probabilistic, adaptive, fuzzy logic, and Multi-attribute decisionmaking techniques for clustering and cluster head election. Existing algorithms enhance the network lifetime and energy efficiency but fail to provide a better quality of service and security. So many issues and challenges have been laid down and it is concluded that when computational intelligence is combined with network intelligence then QoS and security both can be provided along with the network longevity and energy efficiency in homogeneous as well as a heterogeneous environment.

Keywords

Wireless Sensor Network (WSN), Deterministic Schemes, Adaptive, Schemes, Probabilistic Schemes, Multi- Attribute Decision Making Schemes (MADM), Fuzzy Based Cluster Head Election Schemes.

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Karan Singh ¹, Rajeev Gupta ²

Affiliations
1 Department of Computer Science and Applications, M.M. Institute of Computer Technology and Business Management, MMDU, Mullana, IN
2 Department of Computer Science and Engineering, M.M. Engineering College, MMDU, Mullana, IN

Abstract

In recent years, the role of telecommunications in Under Water Mobile Ad-hoc Network (UWMANET) has emerged as a significant field during disaster prevention and rescue operations. Various disaster prevention and rescue supported applications are introduced in these years for flood, tsunamis, and underwater earthquakes. While communication in UWMANET, the existing communication system has some limitations like high energy utilization, tremendous packet loss rate, and delay. Sensor nodes can be deployed for data collection from the dense underwater environment. In UWMANET, security is another critical aspect of secure data transmission. In this paper, a new UWMANET based routing protocol, i.e., E2S-AODV (Energy Efficient Secure Ad-hoc On-demand Distance Vector) is designed and tested for Under Water Disaster Response Network (UWDRN) in a controlled environment. The optimum route for data transmission is selected by Pigeons Swarm Optimization (PiSO). PiSO reduces the hop count in the chosen shortest path. Hello, messages are broadcasted to inform their neighbors that the connection to the host is active. LDW technique is used to authenticate these hello messages. For security purposes, original event message encrypted with CST (Ciphertext Stealing Technique) and qu-Vanstone ECC based public-key cryptography. To utilize energy efficiently, E2S-AODV introduced two energy concepts drains rate finder and residual energy finder. Results that are compared with existing disaster-based protocols; are pro-motive and assure an improved quality of service (QoS) achievement in terms of many multipronged metrics like energy efficiency, reliability, security, scalability, delay, and Throughput, etc. E2S-AODV achieved a 2% improvement in PDR, 5% enhancement in Throughput, 8% reduction in end-to-end delay, and 11% reduction in energy utilization compared to its near existing competent.

Keywords

Energy Efficiency, End-to-End Delay, E²S-AODV, MANET, PDR, QoS, Security, Throughput, UWDRN, UWMANET.

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Rekha ¹, Rajeev Gupta ²

Affiliations
1 Department of Computer Science and Applications, Maharishi Markandeshwar (Deemed to be University), Mullana (Ambala), IN
2 Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana (Ambala), IN

Abstract

Wireless Sensor Networks (WSN) is arising as a potential computing platform in diverse zones such as weather forecasting, modern robotization, medical health care, and military systems, etc. Since the sensors are constantly gathering information from the actual world and communicate with one another through remote connections, keeping up the security and protection of WSN communication is a prerequisite. In this paper, safe confirmation and key organization scheme dependent on Elliptic Curve Cryptography (ECC) has been suggested to make sure about information/picture transmission in WSNs. The scheme proposed in this paper is protected, competent, and appropriate for providing sensor technology based IoT services and applications. The protocol provides all the security features such as mutual authentication, confidentiality, data integrity, perfect forward secrecy, fair key agreement, etc. and is secure against hello flood attack, DoS attack, man-in-middle attack, etc. Simulation software AVISPA has confirmed the safety of the protocol for the known assaults. The performance analysis ensures the superiority of the projected proposal over the existing schemes.

Keywords

WSN, Security, Elliptical Curve Cryptography (ECC), Automated Validation of Internet Security Protocols and Applications (AVISPA).

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