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Chakraborty D.,Indian National Remote Sensing Centre | Singh S.,SMIT | Dutta D.,Indian National Remote Sensing Centre
Geo-Spatial Information Science | Year: 2017

Pixel-based or texture-based classification technique individually does not yield an appropriate result in classifying the high spatial resolution remote sensing imagery since it comprises textured and non-textured regions. In this study, Hölder exponents (HE) and variance (VAR) are used together to transform the image for measuring texture. A threshold is derived to segment the transformed image into textured and non-textured regions. Subsequently, the original image is extracted into textured and non-textured regions using this segmented image mask. Afterward, extracted textured region is classified using ISODATA classification algorithm considering HE, VAR, and intensity values of individual pixel of textured region. And extracted non-textured region of the image is classified using ISODATA classification algorithm. In case of non-textured region, HE and VAR value of individual pixel is not considered for classification for significant textural variation is not found among different classes. Consequently, the classified outputs of non-textured and textured regions that are generated independently are merged together to get the final classified image. IKONOS 1 m PAN images are classified using the proposed algorithm, and the classification accuracy is more than 88%. © 2017 Wuhan University. Published by Taylor & Francis Group.

Kibria G.,Jadavpur University | Sarkar B.R.,Jadavpur University | Pradhan B.B.,SMIT | Bhattacharyya B.,Jadavpur University
International Journal of Advanced Manufacturing Technology | Year: 2010

In microelectrodischarge machining (micro-EDM), dielectric plays an important role during machining operation. The machining characteristics are greatly influenced by the nature of dielectric used during micro-EDM machining. Present paper addresses the issues of micro-EDM utilizing different types of dielectrics such as kerosene, deionized water, boron carbide (B4C) powder suspended kerosene, and deionized water to explore the influence of these dielectrics on the performance criteria such as material removal rate (MRR), tool wear rate (TWR), overcut, diameteral variance at entry and exit hole and surface integrity during machining of titanium alloy (Ti-6Al-4V). The experimental results revealed that MRR and TWR are higher using deionized water than kerosene. Also, when suspended particles, i.e., boron carbide-mixed dielectrics are used, MRR is found to increase with deionized water, but TWR decreases with kerosene dielectric. Further analysis is carried out with the help of scanning electron microscope (SEM) micrographs, and it is found that the thickness of white layer is less on machined surface when deionized water is used as compared to kerosene. Also, a comparative study of machining time has been carried out for the four types of dielectrics at different machining parametric settings. Furthermore, the investigation on the machined surface integrity and wear on microtool tip have also been done in each type of the dielectrics with the help of SEM micrographs and optical photographs. Hence micro-EDM machining on Ti-6Al-4V work material with B4C-mixed dielectrics is performed in the investigation and reported the performance criteria of the process. It can be concluded from the research investigation that there is a great influence of mixing of boron carbide additive in deionized water dielectrics for enhancing machining performance characteristics in micro-EDM during microhole generation on Ti-6Al-4V alloy. © 2009 Springer-Verlag London Limited.

Mukherjee M.,SMIT | Sarkar C.K.,Jadavpur University
Journal of Computational and Theoretical Nanoscience | Year: 2012

In this paper, different performance parameters like the electric field, the Poynting vector, the radiation intensity, the total radiated power, radiation resistance etc. for an N-element thin wire dipole antenna array made of carbon nanotube in the terahertz range has been studied in view of to assess its performance in comparison to wire antenna. The capabilities of these antenna arrays have been also predicted. These results could be used in the design of carbon nanotube antenna arrays in the terahertz range. Copyright © 2012 American Scientific Publishers All rights reserved.

Ahmad N.,Patna University | Sharma S.,Magadh University | Alam M.K.,Patna University | Singh V.N.,Indian Institute of Technology Delhi | And 3 more authors.
Colloids and Surfaces B: Biointerfaces | Year: 2010

Plants respond to heavy metal stress by metal complexation process like production of phytochelations or by other metal chelating peptides. In this paper we report the synthesis of silver nanoparticles (AgNPs) from the room dried stem and root of Ocimum sanctum. The broth of the plant is used as a reducing agent for the synthesis of Ag nanoparticles at room temperature. The reaction process was simple and was monitored by ultraviolet-visible spectroscopy (UV-vis). There was formation of highly stable silver nanoparticles in the solution. The morphology and crystalline phase of the NPs were determined from transmission electron microscopy (TEM), selected area electron diffraction (SAED) and X-ray diffraction (XRD) spectra. Transmission Electron Microscopy studies showed that the silver nanoparticles obtained from roots and stem were of sizes 10 ± 2 and 5 ± 1.5nm, respectively. The various phytochemicals present within the ocimum plant result in effective reduction of silver salts to nanoparticles but their chemical framework is also effective at wrapping around the nanoparticles to provide excellent robustness against agglomeration. © 2010 Elsevier B.V.

Tiwary A.P.,SMIT | Pradhan B.B.,SMIT | Bhattacharyya B.,Jadavpur University
International Journal of Advanced Manufacturing Technology | Year: 2014

Ti–6Al–4V superalloy is an important engineering material having a wide range of applications in diverse fields of engineering due to its good machinability features and excellent physical and mechanical properties. These versatile properties of titanium alloy have caught the interest of researchers and industries personnel across the globe. Further, micromachining of Ti–6Al–4V has become the topic of interest for industrial production and engineering research in the precision manufacturing world due to its wide range of applications in various fields of engineering. However, the machining of Ti–6Al–4V requires in-depth knowledge of machining process as this involves various process variables which influence the machining criteria. Micro-electro discharge machining (micro-EDM) is one of the most successful micromachining processes, and the machined component is free from mechanical stresses as there involve no mechanical forces in the process because there is no direct contact between the tool and workpiece. Also, the specific energy requirement is very low in this process, and the accuracy is very good, i.e., in the order of 0.1 μm Rmax. Thus, in this research paper, an attempt has been made to study the influence of various process parameters on material removal rate (MRR), tool wear rate (TWR), overcut (OC), and taper of micro-EDM during machining of Ti–6Al–4V. To perform the experimentation, central composite design (CCD) has been used to design the experiment and response surface methodology (RSM) is utilized to map the relationship between the input process parameters with the resulting process response. It has been observed that RSM models have predicted the process criteria, namely, MRR, TWR, OC, and taper, satisfactorily and can be utilized to predict the response parameters within the range of the parameter selected in the present research investigation. Through multi-objective optimization, the optimal parametric setting for the micro-EDM process parameters during machining of Ti–6Al–4V has been obtained at pulse on time (Ton) of 1 μs, peak current (Ip) of 2.5 A, gap voltage (Vg) of 50 V, and flushing pressure (Fp) of 0.20 kg cm−2. The experimental values of MRR, TWR, OC, and taper at this optimal parametric setting have been obtained as 0.0777 mg/min, 0.0088 mg/min, 0.0765 mm, and 0.0013, respectively. © 2014, Springer-Verlag London.

Karthikeyan K.,Anna University | Azeezur R.A.,SMIT
Procedia Engineering | Year: 2012

This paper presents a study and comparison of Gravitational Search (GS) and Firefly (FF) algorithms for the enhancement of rotor angle stability for a wide range of operating conditions. A systematic approach for optimizing the parameters of Power System Stabilizer (PSS) using Integral Square Error (ISE) technique has been implemented in this paper. A single machine infinite bus power system with system parametric uncertainties is considered as a case study and the proposed methods are evaluated against one another at this test system. The simulation results clearly indicate the effectiveness and validity of the proposed methods. © 2012 Published by Elsevier Ltd.

Sharma K.,SMIT | Ghose M.K.,SMIT
International Journal of Security and its Applications | Year: 2011

Since the data collected by the nodes of WSN are sensitive and vulnerable to attack, there's a need of making the Wireless Sensor Networks (WSN) immune to attacks. Most of the researchers have come up with security solution to WSN based on layered approach. Layered approach has noticeable flaws like 'redundant' security or 'inflexible' security solutions. In this paper a new security scheme is proposed based on the concept of cross layer design methodology. Outline on the existing cross layer security schemes are also presented. The proposed approach doesn't claim to be immune to all the security attacks but this new approach certainly gives a new direction towards WSN security. The cross layer security framework has been tested with three important application types of WSN.

Bhattacharjee D.,SMIT | Bera R.,SMIT
International Journal on Smart Sensing and Intelligent Systems | Year: 2014

We present the work on development of Smart Detachable Wireless Sensing System for environment monitoring (SDWSS) complying with the IEEE 1451 standard. Barometric and alcohol two different detachable smart sensor have been developed by incorporating generic transducer, customized peripheral interface controller (PIC) 18LF2550 microcontroller and with other peripherals. Detachable smart transducer interface module (DSTIM) implemented using centralized PIC 18F4550 microcontroller based embedded platform, and wireless communication is achieved by 2.4 GHZ XBEE, and CC2500 based wireless module. Various intelligent power management protocols have been implemented on the detachable sensors. This is a flexible cost effective smart system ideal for distributed environment monitoring application.

Pandit M.,SMIT | Roy T.B.,SMIT | Ghose M.K.,SMIT
Proceedings - 2016 2nd International Conference on Computational Intelligence and Communication Technology, CICT 2016 | Year: 2016

Design and application of a very effective and convenient hybrid method based on Adaptive Neuro Fuzzy Inference System (ANFIS) has been explained in this paper. ANFIS has been implemented to determine three design parameters of square monopole antenna. This hybrid method is much superior compared with other traditional methods in terms of number of data and time required for training. Moreover, the method is efficient enough to reduce the error percentage less than 5%. Results given by ANFIS are matched with simulated model given by IE3D and thus error percentage is calculated. © 2016 IEEE.

Kalavathy R.,AVIT | Suresh R.M.,SMIT
Journal of Chemical and Pharmaceutical Sciences | Year: 2015

Electronic medical records form a major source of information regarding a patient's health history. Governments in the present take necessary steps to gather the patient's health history to carry out research and be prepared for any disease outbreaks at large to the citizens. Research has shown that the disease outbreaks are due to the lifestyle, the living conditions and the treatment undergone during the past. Medical literature states that many drugs whose complete safety profile unknown have been approved. Some drugs have shown serious adverse events (SAE), and subsequently withdrawn. There may be some drugs which still show adverse effects on the patients. This work makes an attempt to extract details regarding the drug administration from the electronic medical records (EMR) and employ the Bayesian classifier to find any SAE. It also analyses the various data mining techniques to find adverse events. The main advantage in using EMR is that they can be enhanced with powerful classification algorithms that can deal with images also.

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