P NAVEEN - Academia.edu (original) (raw)

Papers by P NAVEEN

Nonlinear Engineering, 2019

In the present investigation, a problem of natural convective flow of a non-Newtonian power-law f... more In the present investigation, a problem of natural convective flow of a non-Newtonian power-law fluid over an inclined plate saturated in a non-Darcy porous medium is considered. Also, the nonlinear Boussinesq approximation and convective thermal boundary condition are taken into account to address heat and mass transfer phenomena of thermal systems which are operated at moderate and very high temperatures. The steady-state boundary layer equations are non-dimensionalized into non-similar form and then solved numerically by the local non-similarity method with successive linearisation method (SLM). The effects of various physical parameters on the fluid flow, heat and mass transfer characteristics are depicted graphically and analysed in detail.

An entry from the Cambridge Structural Database, the world's repository for small molecule cr... more An entry from the Cambridge Structural Database, the world's repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

International Journal of Energy Economics and Policy, 2017

Effective and efficient management of solid waste is an incessantly growing and the obdurate prob... more Effective and efficient management of solid waste is an incessantly growing and the obdurate problem of global and regional levels particularly for local authorities in urban centers. Several processes such as monitoring, collection, transporting, processing, recycling, and disposal are involved that requires immediate attention owing to economic and environmental concerns. Expressly the gathering and moving of solid waste to the energy production/recycling/ending destination has been prioritized higher because of its significant share of the total waste management budget. All these processes involve the mammoth amount of data and their manipulation for real-time use. Hence, this paper proposes a cloud based algorithm to optimize the transportation cost of solid waste from transfer stations to the final dumping stations subject to transfer vehicle constraints. The solid waste transportation dispatching is a direct analytical approach that provides three options: (i) Economic dispatc...

International Journal For Science Technology And Engineering, 2017

A planar space frame is a skeleton structural system assembled of linear elements so arranged tha... more A planar space frame is a skeleton structural system assembled of linear elements so arranged that forces are transferred in a threedimensional manner. Architects and Engineers aims for new structural forms to accommodate large unobstructed areas. Space frames satisfy their objectives as well as it provides lightness, economy, and speedy construction. Research in these areas proved that using concrete slab acting compositely with the top chord to reduce the buckling problems of the compression chord members and improve the overall behavior of the space frame to be used as floor construction. The development of space frame is influenced by space frame type, method of support, module size and their depth, and finally optimized cross sectional area. In case of development of composite space frame, optimized cross sectional area, concrete strength and concrete thickness are of interest. This paper deals with the development of space frame using ANSYS for roof and floor system for the we...

2020 7th International Conference on Smart Structures and Systems (ICSSS), 2020

With the increased quality of online social platforms, spammers have come up with various techniq... more With the increased quality of online social platforms, spammers have come up with various techniques to lure users into accessing malicious links. This is done by generating spam on the comment section of various social media networks. In this paper, we've taken YouTube comments as the dataset and performed spam YouTube comment detection. The current methods to stop spammers include using tools such as Google Safe Browsing which help to detect and also block irrelevant spam on YouTube. Although these tools help in blocking harmful links, it fails to secure the users in real-time scenarios. Thus, many different approaches have been applied to form an environment that is spam free. A few of them are solely supported user-based options whereas others are based on YouTube content. We have assessed our answer with four completely different algorithms based on machine learning, namely - Logistic Regression, Decision Trees Classifier, Random Forest, Ada Boost Classifier and Support Vector Machine. With Logistic Regression, an accuracy of 95.40% is possible, surpassing the current solution by roughly 18%.

2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020

The task is to detect fraudulent online purchases such that consumers of credit card companies ar... more The task is to detect fraudulent online purchases such that consumers of credit card companies are not compensated for purchases they have also not purchased. Several machine learning is techniques were used to identify the fraud detection and accuracy of fraud detections has varied based on the data and model design, In this paper, having been worked on evaluating and pre-processing data sources and perhaps even the development of several feature extraction algorithms such as Quadratic Discriminant Analysis (QDA), Logistic Regression (LR) and Support Vector Machine (SVM).

Materials Today: Proceedings, 2020

Abstract This paper is acquainted the utilization of Internet of Things (IOT) in the field of far... more Abstract This paper is acquainted the utilization of Internet of Things (IOT) in the field of farming. The yield issue can be checked by utilizing this brilliant chlorophyll meter. The gadget is outfitted with a camera by utilizing which ranchers can take photos of the harvest on squeezing a catch. These caught pictures are shipped off the cloud and handled for the Chlorophyll and Nitrogen content in the leaves. The rancher has a versatile application to see the caught pictures and chlorophyll, Nitrogen content in the leaves. In light of the green (chlorophyll) substance and nitrogen content, the rancher is proposed with insurances to be taken to improve profitability.

Engineering, Technology & Applied Science Research, 2018

Intelligent smart grid system undertakes electricity demand in a sustainable, reliable, economica... more Intelligent smart grid system undertakes electricity demand in a sustainable, reliable, economical and environmentally friendly manner. As smart grid involves, it has the liability of meeting the changing consumer needs on the day-to-day basis. Modern energy consumers like to vivaciously regulate their consumption patterns more competently and intelligently than current provided ways. To fulfill the consumers’ needs, smart meters and sensors make the grid infrastructure more efficient and resilient in energy data collection and management even with the ever-changing renewable power generation. Though cloud acts as an outlet for the energy consumers to retrieve energy data from the grid, the information systems available are technically constrained and not user-friendly. Hence, a simple technology enabled utility-consumer interactive information system in the form of a dashboard is presented to cater the electric consumer needs.

IEEE Systems Journal, 2021

Frequent changes in operating conditions of microgrid affect the coordination of directional over... more Frequent changes in operating conditions of microgrid affect the coordination of directional overcurrent relays (DOCRs). This article proposes an adaptive protection scheme to handle DOCRs coordination problem in microgrid having multiple point of common couplings. The proposed scheme consists of two blocks: offline and online. In offline, settings of DOCRs are calculated for most important operating conditions (grid connected and islanded modes) and stored in corresponding DOCRs. The online task is performed based on local and global decision approaches. The local decision approach ensures significant less burden on microgrid central controller. Also, the proposed scheme does not cause any catastrophic conditions in microgrid when a fault occurs during critical situations. Then, coordination problem is formulated as constrained nonlinear programming problem and solved using a symbiotic organism search algorithm. The effectiveness of the proposed scheme is examined on 7-bus and IEEE 33-bus microgrids during various operating conditions. Furthermore, simulation results are validated on hardware-in-loop test bed using real-time digital simulator, numerical relays, and CMS-356 (voltage and current amplifier). From simulation and hardware results, it is noticed that proposed scheme is able to provide an adequate protection to microgrids during various operating conditions, various types of bolted faults, and high-impedance faults.

Journal of Ambient Intelligence and Humanized Computing, 2021

Based on behavioural or physical characteristics, humans are recognized by using biometric system... more Based on behavioural or physical characteristics, humans are recognized by using biometric system. In computer vision and pattern recognition domain, dynamic research is going on in face recognition. Face recognition algorithms are challenged by intra-personal changes in pose, illumination, and expression (PIE). Images are processed and matched with various databases. For face recognition, multi-task learning (MTL) is explored in this work. However, recognition of faces from blur and poor illumination becomes difficult. Recovering face from mixed noise degradation is a challenging and promising theme. This work explores an ensample convolutional neural network (ECNN) for face recognition. Initially a new adaptive morphological bilateral filtering (AMBF) method is proposed. Without introducing undershoot or overshoot, slope of edges is increased for sharpening a blur image. Quality sharpening enhancement is assured by various morphological operations like closing, opening, erosion and dilation with proper size of structure element. In addition to adaptive bilateral filter, mathematical morphology operations are included to enhance the performance. Then a multi-task ECNN is implemented for a main classification task and estimation of pose, blur, illumination, and expression (PBIE) as side tasks. For every side task, loss weights are assigned automatically by developing bat algorithm (BA) based dynamic-weighing method. In multi-task ECNN, balance between various tasks are achieved. Hence, proposed method is effectively demonstrated by the results of experimentation on entire multi-PIE dataset.

Volume 5 - 2020, Issue 9 - September, 2020

Fire accidents have been occurring frequently in these days, with or without the intervention of ... more Fire accidents have been occurring frequently in these days, with or without the intervention of human. Whatever may be the reason it is one of the reason for huge blow to the mankind. Different losses would occur in the form of property, land, humans and animals too. Nature is also losing its environmental balance. Before the fire get widespread we have to inhibit it in initial stages. With the use of current technology we have developed a robot. In our paper, we will give the information about the design and construction of it. This fire fighting robot uses GSM technology. When the Robot detects fire, it gives message to the user by the use of GSM. A wireless smart camera which is fixed to it gives the video coverage of the surroundings. By the use of DTMF concept, we can control the movement of the robot in the direction we prefer. 8051 microcontroller is the main component of the project. It only sends and receives all major signals.

Journal of Nanofluids, 2018

Applied Organometallic Chemistry, 2020

Engineering Science and Technology, an International Journal, 2018

This article explores the influence of double dispersion on micropolar fluid flow past an incline... more This article explores the influence of double dispersion on micropolar fluid flow past an inclined plate in a homogeneous and isotropic non-Darcy porous medium. Additionally, the effect of nonlinear Boussinesq approximation (i.e., also known as nonlinear convection) with the convective thermal condition is considered to address the heat and mass transfer phenomena in some thermal systems which are operated at moderate to very high temperatures. The governing partial differential equations are transformed into a system of ordinary differential equations using a local non-similarity method, and the resulting boundary value problem is solved using a novel successive linearization method (SLM). The accuracy of the SLM has been established by comparing the results with the shooting technique. This numerical study discusses the influence of pertinent parameters on the fluid flow characteristics through graphs and the salient features are discussed in detail. Heat and mass transfer varies extensively with the increase of nonlinear convection parameters, which depends on aiding and opposing flow situations. In the both aiding and opposing flows, thermal dispersion favors the heat transfer, whereas the solutal dispersion parameter benefits the mass transfer. This kind of investigation is useful in the mechanism of combustion, aerosol technology, high-temperature polymeric mixtures, solar collectors which are operated at moderate to very high temperatures.

IOP Conference Series: Materials Science and Engineering, 2019

Attributable to their ability accomplishing execution and low encoding and interpreting intricacy... more Attributable to their ability accomplishing execution and low encoding and interpreting intricacy, polar codes have gotten noteworthy consideration as of late. Successive cancellation decoding (SCD) and belief propagation decoding (BPD) are two mainstream approaches for disentangling polar codes. SCD, in spite of having less computational intricacy when contrasted and BPD, experiences long inertness because of the serial idea of the SC calculation. BPD, then again, is parallel in nature and is more alluring for low-dormancy applications. Nonetheless, because of the iterative idea of BPD, the required inertness and vitality dispersal increment straightly with the quantity of emphasis. In this paper, we propose a novel plan in light of sub-factor diagram solidifying to lessen the normal number addition the normal number of cycles required by BPD, which specifically converts into bring down inactivity and vitality dissemination. Besides, the equipment design for the proposed plot is cr...

International Journal for Research in Applied Science and Engineering Technology, 2019

With increased competitiveness in power generation industries, more resources are directed in opt... more With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis. One of the most powerful tools in faults detection and diagnosis is artificial intelligence (AI). Faults should be detected early so correct mitigation measures can be taken, whilst false alarms should be eschewed to avoid unnecessary interruption and downtime. For the last few decades there has been major interest towards intelligent condition monitoring system (ICMS) application in power plant especially with AI development particularly in artificial neural network (ANN). ANN is based on quite simple principles, but takes advantage of their mathematical nature, non-linear iteration to demonstrate powerful problem solving ability. With massive possibility and room for improvement in AI, the inspiration for researching them are apparent, and literally, hundreds of papers have been published, discussing the findings of hybrid AI for condition monitoring purposes. In this paper, the studies of ANN and fuzzy logic application will be presented.

International Journal of Mining Science and Technology, 2018

Adsorption isotherm relates the gas storage capacity as a function of pressure at constant temper... more Adsorption isotherm relates the gas storage capacity as a function of pressure at constant temperature. In this paper, adsorption isotherm of two dry borehole samples was constructed in the laboratory using the manometric method. Isotherm was measured for two gases, i.e., CH 4 and CO 2 to pressure up to 8.4 MPa. Before the construction of sorption isotherm, coal was characterized by proximate, ultimate and petrographic analysis. Coalbed gas content of these two samples was found 2.29 m 3 /t and 2.75 m 3 /t. SEM images were obtained for the pore size distribution of coal using pore image analysis. Prediction of coalbed methane recovery from CH 4 adsorption isotherm showed that these coalbeds are under saturated. CO 2 isotherm was constructed to estimate enhanced coalbed methane (ECBM) recovery. Volume wise CO 2 /CH 4 sorption ratio was found 2.09 times to 2.75 times respectively. This paper presents the interpretation of isotherm data to find the recovery factor of methane production from Jharia coalfield.

Heat Transfer-Asian Research, 2018

This article investigates the effect of double dispersion on the natural convective flow of a mic... more This article investigates the effect of double dispersion on the natural convective flow of a micropolar fluid along an inclined plate in the presence of the convective thermal condition. In addition, the nonlinear convection is considered to analyze the heat and mass transfer phenomena of thermal systems, which are performed at moderate-and high-level temperatures. A combination of local nonsimilarity and successive linearization techniques is used to evaluate the associated complicated nondimensional governing equations. This study discusses the impact of relevant factors on the fluid characteristics through graphs. The influence of nonlinear convection parameters on the heat and mass transfer rates seems to be more in Darcy porous media compared with that in non-Darcy porous media.

Energy & Fuels, 2017

Experimental and theoretical analyses with empirical correlations were framed for diffusion of ga... more Experimental and theoretical analyses with empirical correlations were framed for diffusion of gas species, CH 4 and CO 2 in coal samples from Jharia coal fields, India, considering the intrinsic pore parameters. Coefficient of diffusion (D) and diffusivity (D eff) for single and binary component coal-gas system were estimated by adopting unipore gas kinetic models for gas flow on the integration of Fick's law and Langmuir relation. The rigorous study was carried out in estimating crossover pressure, which is dominant in distinguishing flow regime for two primary types of diffusion-Knudsen, Molecular as well as the transition between two regimes. Investigation reveals that experimental values of coefficients of diffusion of CH 4 and CO 2 in random homogeneous isotropic sphere packing of coal samples are in good agreement with the results of theoretical calculations. For the pressure range investigated, variation of coefficient of diffusion was found to follow dual nature with the stable trend at pressures above 3500 kPa and increasing trend for lower pressures. The practical implication of the investigation for the pressures that are characteristically encountered in the Jharia coalfields is a positive finding for the concomitant recovery of CBM with CO 2 sequestration. Additionally, dynamic relation between sorption-diffusion reveals that the coefficient of diffusion significantly depends on the pore structure and pore size distribution, exhibiting a negative relationship with pressure variation.