Dhaneswar Rath Institute of Engineering and Management Studies

www.driems.ac.in/
Cuttack, India

DRIEMS is a technical college located in Tangi Cuttack district of Odisha, India, India. It has been affiliated to the Biju Patnaik University of Technology since 2004. From 1999 to 2003 it was affiliated to Utkal University. It is accredited by the National Board of Accreditation and National Assessment and Accreditation council and rated as an "A" grade institute. It is an ISO 9001:2008 certified institution. It offers the following courses: M-Tech MTM 4 year B.Tech Degree 3 year Diploma in Engineering PGDM & MBA BBA & BCA School & College of Nursing +2 Science Industrial TrainingApart from the required infrastructure the college has number of canteens, gender-based hostels, an International national-level cricket stadium, sports complex, swimming pool, High End Gymnasium, Indore-Stadium, Very big centralized library with wide range of national and international journals, guest house, auditorium, Seminar hall, Market complex with facility of Bank, ATMs, Post office, Health Centre etc. DRIEMS is having largest transportation network for students and its staff members. DRIEMS contributed many effective and dynamic alumni to different multinational and national companies, and the process is ongoing... Wikipedia.

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Pradhan P.C.,Dhaneswar Rath Institute of Engineering and Management Studies | Sahu R.K.,VSSUT | Panda S.,VSSUT
Engineering Science and Technology, an International Journal | Year: 2016

In this paper, a Firefly Algorithm (FA) optimized fuzzy PID controller is proposed for Automatic Generation Control (AGC) of multi-area multi-source power system. Initially, a two area six units power system is used and the gains of the fuzzy PID controller are optimized employing FA optimization technique using an ITAE criterion. The superiority of the proposed FA optimized fuzzy PID controller has been demonstrated by comparing the results with some recently published approaches such as optimal control and Differential Evolution (DE) optimized PID controller for the identical interconnected power system. Then, physical constraints such as Time Delay (TD), reheat turbine and Generation Rate Constraint (GRC) are included in the system model and the superiority of FA is demonstrated by comparing the results over DE, Gravitational Search Algorithm (GSA) and Genetic Algorithm (GA) optimization techniques for the same interconnected power system. Additionally, a Unified Power Flow Controller (UPFC) is placed in the tie-line and Superconducting Magnetic Energy Storage (SMES) units are considered in both areas. Simulation results show that the system performances are improved significantly with the proposed UPFC and SMES units. Sensitivity analysis of the system is performed by varying the system parameters and operating load conditions from their nominal values. It is observed that the optimum gains of the proposed controller need not be reset even if the system is subjected to wide variation in loading condition and system parameters. Finally, the effectiveness of the proposed controller design is verified by considering different types of load patterns. © 2015 Karabuk University


Nanda B.,Dhaneswar Rath Institute of Engineering and Management Studies
Indian Journal of Pure and Applied Physics | Year: 2016

The available volume in a binary liquid mixture containing BaCl2 and BaBr2 at varying mole fraction of solute has been computed applying thermo acoustical parameters and ultrasonic method, a relation of the available volume. The relative applicability of all these approaches to the present investigation has been checked and discussed. The values obtained from both the methods are utilized to study the presence and strength of ion-solvent interactions of BaCl2 and BaBr2 with methanol-water, ethanol-water and dioxane-water system under investigation. The increase in the available volume indicates the presence of ion-solvent interactions as well as structure making ability of barium chloride and barium bromide in aqueous methanol, ethanol and dioxane solutions.


Das P.K.,Dhaneswar Rath Institute of Engineering and Management Studies | Pradhan S.K.,Orissa Engineering College, Bhubaneswar | Patro S.N.,Dhaneswar Rath Institute of Engineering and Management Studies | Balabantaray B.K.,Synergy Institute of Technology
Studies in Computational Intelligence | Year: 2012

Planning of the optimal path has always been the target pursued by many researchers since last five decade. Its application on mobile robot is one of the most important research topics among the scientist and researcher. This paper aims to plan the obstacle-avoiding path for mobile robots based on the Artificial Immune Algorithm (AIA) developed from the immune principle. An immunity algorithm adapting capabilities of the immune system is proposed and enable robot to reach the target object safely and successfully fulfill its task through optimal path and with minimal rotation angle efficiency. Finally, we have compared with the GA based path planning with the AIA based path planning. Simulation results show that the mobile robot is capable of avoiding obstacles, escaping traps, and reaching the goal efficiently and effectively by using AIA than GA. © 2012 Springer-Verlag Berlin Heidelberg.


Nanda B.B.,Dhaneswar Rath Institute of Engineering and Management Studies | Nanda B.,Siksha ‘O’ Anusandhan University | Mohanty P.C.,Kendriya Vidyalaya
Journal of Molecular Liquids | Year: 2012

Ultrasonic speed (U) and density (ρ) values for BaCl 2.solutions are presented in 10%, 20%, and 30% glycol + water mixtures at 303.15 K. The thermo acoustic parameters like isentropic compressibility (β s), isothermal compressibility (β T) and coefficient of thermal expansion (α) have been calculated for different solutions. The experimental values of sound speed have been fitted on Ballou's and Hartmann's equation for nonlinearity parameters and the variation of these parameters with the concentrations of solute in different solutions has been discussed in the context of ion-solvent interactions. © 2012 Elsevier B.V. All rights reserved.


Panda N.,Dhaneswar Rath Institute of Engineering and Management Studies | Pattanayak S.,Ravenshaw University | Choudhary R.N.P.,Siksha ‘O’ Anusandhan University
Journal of Electronic Materials | Year: 2015

Polycrystalline samples of Bi1−xPbxFe1−x(Zr0.5Ti0.5)xO3 (BPFZTO) with x = 0.0, 0.2, 0.3, and 0.4 were prepared by high-temperature solid-state reaction. Preliminary structural analysis of calcined powders of the materials by use of x-ray powder diffraction confirmed formation of single-phase systems with the tetragonal structure. Room-temperature scanning electron micrographs of the samples revealed uniform distribution of grains of low porosity and different dimensions on the surface of the samples. The frequency–temperature dependence of dielectric and electric properties was studied by use of dielectric and complex impedance spectroscopy over a wide range of frequency (1 kHz to 1 MHz) at different temperatures (25–500°C). The dielectric constant of BiFeO3 (BFO) was enhanced by substitution with Pb(Zr0.5Ti0.5)O3 (PZT) whereas the dielectric loss of the BPFZTO compounds decreased with increasing PZT content. A significant contribution of both grains and grain boundaries to the electrical response of the materials was observed. The frequency-dependence of the ac conductivity of BPFZTO followed Jonscher’s power law. Negative temperature coefficient of resistance behavior was observed for all the BPFZTO samples. Conductivity by thermally excited charge carriers and oxygen vacancies in the materials was believed to be of the Arrhenius-type. © 2015 The Minerals, Metals & Materials Society


Sethy S.K.,Dhaneswar Rath Institute of Engineering and Management Studies | Moharana J.K.,Dhaneswar Rath Institute of Engineering and Management Studies
Proceedings of 2013 International Conference on Power, Energy and Control, ICPEC 2013 | Year: 2013

The STATCOM (STATic synchronous COMpensator) is a shunt connected voltage source converter using self-commutating device and can be effectively used for reactive power control. Its principle of operation is similar to that of a synchronous condenser. This paper describes the modeling of STATCOM along with the design of linear current and voltage controllers. The design of controllers for the converters can be realized in two ways. The first method is a non-linear realization, which results in simple control rules with faster dynamics. The second method is a linear method, which requires system modeling. The second approach is adopted and simulated waveforms are presented in the paper. The designed controllers with variation of DC link voltage have been applied to the STATCOM and suitable DC link voltage has been selected on basis of spike and over shoot of the responses. All responses are obtained through MATLAB SIMULINK tool box and presented here for clarity of the control strategy. © 2013 IEEE.


Das S.K.,Hi Technology Institute of Technology | Moharana J.K.,Dhaneswar Rath Institute of Engineering and Management Studies
Proceedings of 2013 International Conference on Power, Energy and Control, ICPEC 2013 | Year: 2013

The STATCOM (STATic synchronous Compensator) is being increasingly popular in power system applications. In general, reactive power compensation for power factor and stability of the utility system can be improved. A simple dq transformation and steady state and transient analysis are achieved to characterize the open loop system. A control scheme of the STATCOM has been proposed without controlling DC link voltage. The small signal scheme controls the phase angle as well as modulation index of the switching pattern and with small perturbation of reference current (reactive current of load), the DC voltage nearly remains constant. On variation of DC link voltage, the spike and overshoot of the responses have been studied and suitable DC link voltage has been selected. All responses are obtained trough MATLAB simulink tool box and presented here for clarity of the control strategy. © 2013 IEEE.


Sahu R.K.,Veer Surendra Sai University of Technology | Panda S.,Veer Surendra Sai University of Technology | Pradhan P.C.,Dhaneswar Rath Institute of Engineering and Management Studies
International Journal of Electrical Power and Energy Systems | Year: 2015

A hybrid Firefly Algorithm (FA) and Pattern Search (PS) optimized fuzzy PID controller is proposed for Load Frequency Control (LFC) of multi area power systems. Initially a two area thermal system with Governor Dead Band (GDB) nonlinearity is considered and the gains of the fuzzy PID controller are optimized employing a hybrid FA and PS (hFA-PS) optimization technique. The supremacy of proposed hFA-PS over FA is also demonstrated. The advantage of the proposed fuzzy PID controller has been shown by comparing the results with some recently published techniques, such as Differential Evolution (DE) and Craziness based Particle Swarm Optimization (CPSO). Further, sensitivity analysis is performed by varying the system parameters and operating load conditions from their nominal values. It is observed that the optimum gains of the proposed controller need not be reset even if the system is subjected to wide variation in loading condition and system parameters. Additionally, the proposed approach is further extended to three unequal area thermal systems with physical constraints such as time delay, reheat turbine, Generation Rate Constraint (GRC) and GDB nonlinearity. It is observed that the proposed technique is able to handle nonlinearity and physical constraints in the system model. © 2015 Elsevier Ltd. All rights reserved.


Pany P.K.,Dhaneswar Rath Institute of Engineering and Management Studies | Ghoshal S.P.,National Institute of Technology Durgapur
Neural Computing and Applications | Year: 2015

Price forecasting has become one of the main focuses of electric power market research efforts as price is the key index to evaluate the market competition efficiency and reflects the operation condition of electricity market decision making. The work presented in this paper makes use of local linear wavelet neural networks to find the market clearing price for a given period, which is based on similar days approach. The results obtained through simulation are compared to other evolutionary optimization techniques surfaced in the recent state-of-the-art literature, including wavelet neural network model. The results presented in this paper demonstrate the potential of the proposed approach and show its effectiveness for electricity price forecasting. © 2015, The Natural Computing Applications Forum.


Das G.,Dhaneswar Rath Institute of Engineering and Management Studies | Pattnaik P.K.,KIIT University | Padhy S.K.,Siksha ‘O’ Anusandhan University
Expert Systems with Applications | Year: 2014

In this paper, we apply Artificial Neural Network (ANN) trained with Particle Swarm Optimization (PSO) for the problem of channel equalization. Existing applications of PSO to Artificial Neural Networks (ANN) training have only been used to find optimal weights of the network. Novelty in this paper is that it also takes care of appropriate network topology and transfer functions of the neuron. The PSO algorithm optimizes all the variables, and hence network weights and network parameters. Hence, this paper makes use of PSO to optimize the number of layers, input and hidden neurons, the type of transfer functions etc. This paper focuses on optimizing the weights, transfer function, and topology of an ANN constructed for channel equalization. Extensive simulations presented in this paper shows that, as compared to other ANN based equalizers as well as Neuro-fuzzy equalizers, the proposed equalizer performs better in all noise conditions. © 2013 Elsevier B.V. All rights reserved.

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