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Samui P.,NIT Patna | Kim D.,Kunsan National University
Periodica Polytechnica: Civil Engineering | Year: 2016

This article adopts Relevance Vector Machine (RVM) and Minimax Probability Machine Regression (MPMR) for prediction Soil Electrical Resistivity(RE) of soil. RVM uses an improper hierarchical prior. It optimizes over hyperparameters. MPMR is a probabilistic model. Two models (MODEL I and MODEL II) have been adopted. Percentage sum of the gravel and sand size fractions (F) and Soil Thermal Resistivity(RT) has been takes as inputs in MODEL I. MODEL II uses F,RT and saturation of soils(S) as input variables. The results of RVM and MPMR have been compared with the Artificial Neural Network (ANN). The developed RVM and MPMR proves his ability for prediction of RE of soil. © 2016, Technical University of Budapest. All rights reserved.

De M.,NIT Patna | Goswami S.K.,Jadavpur University
IEEE Transactions on Power Systems | Year: 2014

Power systems are mostly run under stressed operating conditions due to rapidly increasing demand but inadequate expansion in generation and transmission capacity. Thus voltage stability has become a major concern in present day power system operation which depends on the availability and distribution of reactive power. It becomes very important to ensure the presence of sufficient amount of reactive power source in the network for secure and reliable operation of electrical power system. This paper mainly deals with short-term reactive power procurement (RPP) problem assuming an already established real power market. Contributions of this paper are three fold. First, this paper presents three new RPP methods which are formulated as optimum power flow (OPF) problems. OPFs are solved using Artificial Bee Colony (ABC) algorithm as population based stochastic solution methods are more suitable for solving reactive power optimization problem. Second, a detailed analysis of voltage stability for proposed RPP problems are performed for both normal and contingency condition to find out how these new formulations affect voltage stability. Third, proposed methods are compared with the classical RPP formulations, e.g., Minimization of L-index and loss Minimization. Finally results are reported for both test system and a large practical system. © 2014 IEEE.

Kumar D.,Maharaja Agrasen Institute of Technology | De A.,NIT Patna
2013 IEEE MTT-S International Microwave and RF Conference, IMaRC 2013 | Year: 2013

In this paper a new design of periodic structure has been proposed. These periodic structures are stepped impedance open circuited stubs loaded on a 50 ohm microstrip line. On the ground plane of microstrip periodic rectangular slots are made. These slots are responsible for the enhancement of insertion loss characteristics and give wider stop band characteristic. The period of the structures loaded on the microstrip line and the period of the slots on the ground plane are having same dimensions. For the desired center frequency the unit cell of the periodic structure is designed and then loaded periodically on the microstrip line. The proposed structure is applied to design a narrow band pass filter for the center frequency 3 GHz. The design procedure is elaborated and analysis of periodically loaded microstrip line is also given in this article. The design procedure is simple and there is no fabrication problem due to strong coupling. © 2013 IEEE.

Bhattacharya S.,NIT Patna
International Conference on Computing, Communication and Automation, ICCCA 2015 | Year: 2015

This paper intends to present an approach to classify different types of faults and to identify the location of the faults in a non-radial power system network using ElectroMagnetic Transients Program(ATP/EMTP)software and Artificial Neural Network(ANN). Firstly, a balanced three-phase system is designed with a RLC load and then different types of faults(single line to ground fault, line to line fault, double line to ground fault and three phase fault) are created at various points of the transmission line. The transmission line model is simulated using the EMTP software. The resulting current waveforms under different fault conditions are observed from the sending end. Fault occurs at the point where peaks appear in the current signal when viewed from the sending end. These current waveforms are analyzed using the wavelet toolbox in MATLAB and the entropy values of the current signals, so obtained, are given as input to the artificial neural network for automatic fault classification and identification of the faulty line. This scheme is also tested under different types of faults with different fault resistances and varying fault locations and the results show that it is able to discriminate the faults and identify the fault locations rapidly and correctly. © 2015 IEEE.

Tewari A.S.,NIT Patna | Priyanka K.,NIT Patna
Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014 | Year: 2015

Recommendation systems are tools in e-commerce websites which helps user to find the appropriate products. With the rapid development of internet technologies the number of online book selling websites has increased which enhanced the competition among them. This paper presents online book recommendation system for students reading textbooks. The main motive of this paper is to develop the technique which recommends most suitable books to the students according to their price range and publisher's name. This is based on the combined features of classification, user based collaborative filtering and association rule mining. © 2014 IEEE.

Raj H.,NIT Patna | Ghosh R.,NIT Patna
Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 | Year: 2014

In scenic images, information in the form of text provides vital clues for most applications based on image processing. These include assisted navigation content based image retrieval, automatic geocoding and understanding the scene. But in a multicolored complex background, it is quite a daunting task to locate the text. This task is daunting because of non-uniformity in illumination, complexity of the backdrop, and differences in the size font & line-orientation of the text. We propose a novel approach for Devanagari text extraction from natural scene images in this paper. We can use a text-to-speech engine or Optical Character Reader to recognize the extracted text. The basis of our scheme is to analyze the CCs. This is done to extract Devanagari text from scenic images captured by camera. The presence of head line is unique to this script. Our scheme makes use of mathematical morphological operations to extract the headlines. Also the binarization of scenic images was studied. Here the effectiveness of the adaptive thresholding approach was observed. The algorithm was tested on Devanagari text contained within a collection of 100 scenic images. © 2014 IEEE.

Azad H.K.,NIT Patna | Abhishek K.,NIT Patna
Proceedings - 2014 4th International Conference on Communication Systems and Network Technologies, CSNT 2014 | Year: 2014

Web mining is the application of data mining technique to automatically discover and gathered information from web documents and services which can be in structured, unstructured or semi-structured form. It is used to understand user behaviour, evaluate the effectiveness of a particular web and find out the relevant and efficient results from the web. Accuracy and relevance of information extracting from the web is the most significant issue of concern for the realization of web mining. The idea is to improve the accuracy and relevance of information extracting from the web. This paper proposes a novel model for improving the web mining, we hypothesize that web mining is Semantic-Synaptic web mining. Semantic-Synaptic web Mining interlinks the web of data to different data sources at low entropy (Information Theory). This paper combines the best ideas from the semantic web and synaptic web at low entropy and constructs the architecture of Semantic-Synaptic web mining. © 2014 IEEE.

Dawar P.,Guru Tegh Bahadur Institute of Technology | De A.,NIT Patna
Advances in Optical Technologies | Year: 2014

This paper adumbrates a novel tunable metamaterial consisting of triangular split ring resonator (TSRR) and wire strip (WS) at THz frequency. Ansoft high frequency structure simulator (HFSS) has been used to design and analyse the metamaterial having Rogers RT/duroid 5870 (εr = 2.33) and FR4 (εr = 4.4) as substrate material. Nicolson Ross Weir (NRW) method has been used to retrieve the material parameters from transmission and reflection coefficient. 4% maximization has been obtained in the location of the negative region (or resonance frequency for permeability) by using FR4 with 0.75 m instead of 1.25 m as substrate thickness. In addition, 18% minimization has been achieved by using FR4 with 0.25 m instead of RT/duroid 5870 substrate with the same thickness. Tunability has been proved by showing dependence of resonant frequency over the substrate thickness and substrate material. © 2014 Parul Dawar and Asok De.

In Wireless Sensor Network (WSN), sensor nodes send sensed data through multi-hops involving intermediate relay nodes. Construction of virtual backbone (VB) of sensor network is preferred to reduce the energy depletion of the WSN. The VB brings substantial benefits by simplifying routing and topology control. In WSN, sensors are prone to failure, due to power depletion or some other reasons. Therefore, the existing VB may be partitioned into segments after failure. Hence, re-construction of VB is an important issue in sensor network. This can be achieved either by discovering alternate backbone or by redeployment additional new relay nodes to restore the VB. This paper proposes an efficient strategy for restoring VB by connecting disconnected VBs using minimum relay nodes. Finding the optimal number of relay nodes and their positions is NP-hard, heuristic algorithms are proposed to minimize the repairing cost. © 2016 The Authors. Published by Elsevier B.V.

Srivastava A.,NIT Patna
ACM International Conference Proceeding Series | Year: 2015

In this paper we evaluate a non-blind watermarking technique for colored digital image based on singular value decomposition (SVD) in the DWT (Discrete Wavelet Transformation) domain under different PSO variants. PSO is incorporated in the scheme to identify the most suited single value scaling factor to achieve high robustness and similarity ratio, existing PSO variants are compared and the best variant is then applied on the scheme. Experimental results are provided along with statistical analysis to exemplify that proposed scheme using best PSO variant is able to absorb various image processing attacks to a great extent and provide copyright protection. © 2015 ACM.

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