Indian Institute of Technology Bhubaneswar
Bhubaneshwar, India

The'International Institute of Information Technology, Bhubaneswar' is an information technology higher education and a unitary university institute located in Bhubaneswar, Odisha, India. It is one of the Institutes of national importance in Odisha. It was established in 2006 by the Government of Odisha. It is a University Grants Commission recognised Unitary Technical University. The campus is located in Gothapatna, Bhubaneswar. The campus houses classrooms, laboratories, library, hostel, faculty living quarters, sports facilities, and auditorium. Wikipedia.

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Kamwa I.,Hydro - Quebec | Samantaray S.R.,Indian Institute of Technology Bhubaneswar | Joos G.,McGill University
IEEE Transactions on Smart Grid | Year: 2014

The paper deals with developing and testing frequency-adaptive PMU algorithms with wider linearity range than specified in IEEE Std C37.118-1. This goal is achieved by means of three different concepts encompassing robust state-of-the-art design approaches: 1) FIR bandpass filtering, 2) extended Kalman filtering (EKF), and 3) discrete Fourier transform (DFT) demodulation with FIR low-pass smoothing. While FIR-based PMUs are linear phase with no overshoot in either phase or amplitude step responses, the adaptive EKF PMU is more computer-intensive but allows for a reduced group delay and better out-of-band interference rejection at the cost of a phase step response with overshoot. Frequency measurement performances of the various PMUs are assessed in detail. It turned out that FIR PMUs are best for meeting Std C37-118-1 metrics but they are outperformed by EKF under changing harmonics. Test results on three recent commercial PMU models further confirm that PMU algorithms meeting standard C37-118-1 can behave quite differently under dynamic conditions. © 2013 IEEE.

Roy U.K.,Indian Institute of Technology Kharagpur | Roy S.,Indian Institute of Technology Kharagpur | Roy S.,Indian Institute of Technology Bhubaneswar
Chemical Reviews | Year: 2010

A study was conducted to investigate the making and breaking of Sn-C and In-C bonds in situ in allyltins and allylindiums. The study considered the efforts of organic and organometallic chemists in employing ex situ and in situ strategies to demonstrate the making and breaking of Sn-C and In-C bonds in allyltins and allylindiums. It also considered newer developments in the direct activation of allyl electrophiles without Tm-assistance and transmetallative activation of other allyl-Mgms to allyltin and indium. The investigations were divided into sections, such as in situ generation and reactivity of allyltin and in situ generation and reactivity of allylindium. It was demonstrated that allyl halides and surrogates, allenes, and dienes were easily activated across a low-valent electron rich transition metal center, resulting in an π-allylmetal.

Ratha S.,Indian Institute of Technology Bhubaneswar | Rout C.S.,Indian Institute of Technology Bhubaneswar
ACS Applied Materials and Interfaces | Year: 2013

We report here the synthesis of layer structured WS2/reduced graphene oxide (RGO) hybrids by a facile hydrothermal method for its possible application as supercapacitor materials in energy storage devices. The prepared two-dimensional materials are characterized thoroughly by various analytical techniques to ascertain their structure and to confirm the absence of any impurities. Two-electrode capacitance measurements have been carried out in aqueous 1 M Na2SO4. The WS2/RGO hybrids exhibited enhanced supercapacitor performance with specific capacitance of 350 F/g at a scan rate of 2 mV/s. The obtained capacitance values of WS 2/RGO hybrids are about 5 and 2.5 times higher than bare WS 2 and RGO sheets. Because of the unique microstructure with combination of two layered materials, WS2/RGO hybrids emerge as a promising supercapacitor electrode material with high specific capacitance, energy density, and excellent cycling stability. © 2013 American Chemical Society.

Nanda S.J.,Malaviya National Institute of Technology, Jaipur | Panda G.,Indian Institute of Technology Bhubaneswar
Swarm and Evolutionary Computation | Year: 2014

The partitional clustering concept started with K-means algorithm which was published in 1957. Since then many classical partitional clustering algorithms have been reported based on gradient descent approach. The 1990 kick started a new era in cluster analysis with the application of nature inspired metaheuristics. After initial formulation nearly two decades have passed and researchers have developed numerous new algorithms in this field. This paper embodies an up-to-date review of all major nature inspired metaheuristic algorithms employed till date for partitional clustering. Further, key issues involved during formulation of various metaheuristics as a clustering problem and major application areas are discussed.

Maharana P.K.,Indian Institute of Technology Bhubaneswar | Jha R.,Indian Institute of Technology Bhubaneswar
Sensors and Actuators, B: Chemical | Year: 2012

Surface plasmon resonance based affinity biosensor comprising of 2S2G (Ge 20Ga 5Sb 10S 65) chalcogenide prism, graphene-multilayer and gold as a plasmon active metal is proposed for sensing over a broad wavelength range in visible and near infrared regime. We have investigated and carried out detailed analysis to design high performance affinity biosensor by exploiting the unique optical properties of chalcogenide glass and graphene. The performance of the biosensor has been quantified in terms of sensitivity and detection accuracy. The sensitivity of proposed biosensor increases significantly due to the presence of graphene where as the detection accuracy increases by more than 100% because of high index chalcogenide glass as compared to silica glass. Also, the detection accuracy of the proposed sensor in near IR is 16 times more as compared to that in visible. Adequate values of crucial design parameters have been optimized to achieve the best possible sensing performance over a broad wavelength range. © 2012 Elsevier B.V. All rights reserved.

Ghosh A.,Indian Institute of Technology Bhubaneswar
Automatica | Year: 2013

This paper considers the problem of designing a decentralized, high frequency, continuous-time periodic controller to simultaneously stabilize a class of two strongly interconnected LTI MIMO systems with or without decentralized fixed modes. The design is carried out by solving a pair of coupled linear simultaneous polynomial equations involving controller parameters via a generalized Sylvester matrix approach. The conditions which must be satisfied for a solution to exist are listed. The design approach is straightforward and linear algebraic in nature. An example is considered to illustrate the approach. © 2013 Elsevier Ltd. All rights reserved.

Dinakar P.,Indian Institute of Technology Bhubaneswar
Magazine of Concrete Research | Year: 2012

Concrete of a desired strength for any specific application can be obtained by using any of the accepted methods of design. However, the addition of mineral admixtures, such as fly ash, in concrete, requires a systematic design procedure for obtaining the required strength. It is possible to design a fly ash concrete of the required strength through the 'efficiency concept', and the same is also true for the design of self-compacting concrete (SCC). In this paper, a new mix design methodology is proposed for proportioning of self-compacting fly ash concretes based on the efficiency concept. The methodology has already been successfully verified through a proper experimental investigation and the self-compacting fly ash concretes were evaluated for their self compactability and strength characteristics. The results indicate that the proposed method is capable of producing high-quality SCC. © 2012 Thomas Telford Ltd.

Samantaray S.R.,Indian Institute of Technology Bhubaneswar
IEEE Transactions on Power Delivery | Year: 2013

This paper presents a data-mining model for fault-zone identification of a flexible ac transmission systems (FACTS)-based transmission line including a thyristor-controlled series compensator (TCSC) and unified power-flow controller (UPFC), using ensemble decision trees. Given the randomness in the ensemble of decision trees stacked inside the random forests model, it provides effective decision on fault-zone identification. Half-cycle postfault current and voltage samples from the fault inception are used as an input vector against target output '1' for the fault after TCSC/UPFC and '-1' for the fault before TCSC/UPFC for fault-zone identification. The algorithm is tested on simulated fault data with wide variations in operating parameters of the power system network, including noisy environment providing a reliability measure of 99% with faster response time (3/4th cycle from fault inception). The results of the presented approach using the RF model indicate reliable identification of the fault zone in FACTS-based transmission lines. © 1986-2012 IEEE.

Samui A.,Indian Institute of Technology Bhubaneswar | Samantaray S.R.,Indian Institute of Technology Bhubaneswar
IEEE Transactions on Power Delivery | Year: 2013

The paper presents wavelet singular entropy (WSE)-based islanding detection in distributed generation (DG) interfaced to the microgrid. Initially, the three-phase voltage signals retrieved at the target DG location are processed through wavelet transform (WT) to derive detailed coefficient at different levels of decomposition. From the detailed coefficients, the singular value matrix is generated and the WSE for each phase is calculated. Finally, the WSE index (WSEI) for islanding detection is computed by adding the WSE of each phase. The proposed WSEI is able to detect islanding within 10 ms (half cycle) from the event inception, showing the speed of the developed technique. It is observed that WSEI is highly effective in islanding detection, including different islanding and nonislanding conditions in the initial test system and standard microgrid with wide variations in operating parameters. © 1986-2012 IEEE.

Samantaray S.R.,Indian Institute of Technology Bhubaneswar
Applied Soft Computing Journal | Year: 2013

The paper presents a new approach for fault classification in transmission line using a systematic fuzzy rule based approach. Fault classification is one of the important requirements in distance relaying for identifying the accurate phases involved in the fault process. The proposed technique starts with preprocessing the fault current signal using advanced time-frequency transform such as S-transform to compute various statistical features. After the required features are extracted, the Decision Tree (DT), a knowledge representation method, is used for initial classification. From the DT classification boundaries, the fuzzy membership functions (MFs) and corresponding fuzzy rule-base is developed for final classification. Thus a systematic fuzzy rule base is developed for fault classification, reducing the redundancies and complexities involved compared to Heuristic fuzzy rule-based approach. Also a qualitative comparison is made between S-transform and Wavelet transform, where S-transform based DT-fuzzy provides highly improved results compared to the later during simulation as well as experimental tests. © 2012 Elsevier B.V. All rights reserved.

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