Research Publications

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A comparative study of subject headings in university libraries in karnataka
(Journal of Library Development, 2018-08) Harinarayana, N. S.; Chandrappa
Subject cataloguing is considered more intellectually intriguing than the descriptive cataloguing. Quality of subject catalogues have been the area of interest for researchers. The present study attempted to analyse the subject catalogue records from four university libraries in Karnataka. The result showed that the subject access to the holdings of the university libraries need to be improved. Subject cataloguers have to pay immediate attention in improving the subject access.
A Coordinated Control Strategy for a Diesel-Electric Tugboat System for Improved Fuel Economy
(IEEE, 2020-07-21) Upadhyayula, Ramesh Srinivas
Recent growth in seaborne trade has increased the tugboat operation cycle to maneuver incoming marine vessels at port. To meet the tugboat load demand for maneuvering, multiple power sources are being employed on-board. This necessitates a coordinated control strategy for the effective operation of these multiple power sources. To design an effective coordinated control strategy, this article initially estimates multiple power sources capacities (doubly fed induction machine (DFIM) and battery storage system) for a diesel-electric tugboat system based on a real-time tugboat operation cycle obtained from Visakhapatnam port, India. With respect to these multiple power sources, a coordinated control strategy for a better fuel efficiency is proposed based on a state machine control algorithm. The proposed control strategy operates a variable speed diesel-electric generator (diesel engine coupled DFIM) at a minimum specific fuel consumption value and battery based on its state of charge. To show the efficacy of the proposed variable speed diesel-electric system, fuel consumption is computed, which resulted in 26.42% of saving in comparison with a traditionally used diesel-mechanical tugboat. To evaluate the real-time system (2 MW DFIM + 150 kWh battery), MATLAB/Simulink tool is used and an experimental demonstration is performed on a laboratory prototype.
A coordinated control strategy for a diesel-electric tugboat system for improved fuel economy /
(IEEE, 2020-07-21) Upadhyayula, Ramesh Srinivas
Recent growth in seaborne trade has increased the tugboat operation cycle to maneuver incoming marine vessels at port. To meet the tugboat load demand for maneuvering, multiple power sources are being employed on-board. This necessitates a coordinated control strategy for the effective operation of these multiple power sources. To design an effective coordinated control strategy, this article initially estimates multiple power sources capacities (doubly fed induction machine (DFIM) and battery storage system) for a diesel-electric tugboat system based on a real-time tugboat operation cycle obtained from Visakhapatnam port, India. With respect to these multiple power sources, a coordinated control strategy for a better fuel efficiency is proposed based on a state machine control algorithm. The proposed control strategy operates a variable speed diesel-electric generator (diesel engine coupled DFIM) at a minimum specific fuel consumption value and battery based on its state of charge. To show the efficacy of the proposed variable speed diesel-electric system, fuel consumption is computed, which resulted in 26.42% of saving in comparison with a traditionally used diesel-mechanical tugboat. To evaluate the real-time system (2 MW DFIM + 150 kWh battery), MATLAB/Simulink tool is used and an experimental demonstration is performed on a laboratory prototype.
A description of tidal propagation in Hooghly estuary using numerical and analytical solutions /
(Elsevier, 2018-09-18) Sivakholundu, K.M.
A tidal propagation characteristic of Hooghly estuary is presented using numerical (ADCIRC) and analytical models (Friedrichs and Aubrey, 1994) along with observations. The analytical model is based on Friedrichs and Aubrey (1994) that simplifies the governing hydrodynamic equations greatly by retaining only those terms that are significant without losing the overall understanding of the propagation process. The analytical model is compared with corresponding 2-D depth averaged numerical (ADCIRC) model that retains all non-linear terms. The assumptions for simplification are found to be reasonable in the light of close agreement among analytical, numerical models and observations. A plan-form geometrical characteristic as well as hydrodynamic variable of the Hooghly has been compared with that of Delaware estuary for corroborating similar tidal propagation process. The Hooghly estuary has flood dominant asymmetric tidal propagation and a positive amplitude growth factor (μ). The observed tidal celerity (phase speed) on an average is slightly more than frictionless celerity. Using the conventions of Toffolon et al. (2006), Hooghly can be classified into ‘strongly convergent – strongly dissipative’ estuary. From the results it can be construed that the estuary is yet to stabilise and reach its equilibrium morphology. It can be close to its equilibrium as very little amplification (0.1 m) is noticed in the predominant semi-diurnal constituent M2 over 78 km (barely 7%) in the estuary. The parameters of width variation (γ) and the ratio between friction and inertia (χ) have been used to define the marginal condition for amplification. The relative position of Hooghly in terms of marginal condition is consistent with similar set of estuaries elsewhere that have been grouped using the above parameters.
A Diagnostic Approach for Cost Minimization and Profit Maximization between User Agencies and The Service Providers in Indian Ports /
(Zenodo, 2018-07-05) Swaminathan, B.
The objective of the paper is how to reduce the cost of port services to the users of the port without affecting its profitability. They range from service quality and value for money to investment returns and economic efficiency. The rationale behind the port costing is that it enables port management to control costs and operations and allocate resources efficiently. In spite of this, one of the major setbacks that Industry has been facing is the cost of doing business which is highest compared with the rest of the world. Cost minimization is the task to reduce costs by consuming resources more efficiently. Ports ultimately want to reduce costs and increase production. The question they must answer is, how to accomplish this task?
A fast and effective method for assessing insulation condition based on time domain spectroscopy data /
(IEEE, 2022-01-21) Mishra, D.
A novel methodology is suggested to predict the condition of Oil-paper Insulation (OPI), popularly used in power transformers. The proposed method is based on transient measurement of polarization current data from laboratory samples. Initially, complete polarization current profile is used to formulate an insulation model and then find the rise time of the system. After that, a relation is provided between rise time and measured performance parameters like moisture content(%pm). Further, another relation is suggested between rise time and the initial decay rate of recorded data. Hence, just by knowing the value of the initial decay rate, the value of crucial parameters like %pm can be evaluated using the proposed relationship.
A Mathematical Model for Scheduling a Batch Processing Machine with Multiple Incompatible Job Families, Non-identical Job dimensions, Non-identical Job sizes, Non-agreeable release times and due dates /
(IOP Publishing, 2013-06-06) Ramasubramaniam, M
The paper addresses the problem scheduling a batch processing machine with multiple incompatible job families, non-identical job dimensions, non-identical job sizes and non-agreeable release dates to minimize makespan. The research problem is solved by proposing a mixed integer programming model that appropriately takes into account the parameters considered in the problem. The proposed is validated using a numerical example. The experiment conducted show that the model can pose significant difficulties in solving the large scale instances. The paper concludes by giving the scope for future work and some alternative approaches one can use for solving these class of problems.
A mathematical model of marine diesel engine speed control system
(Journal of The Institution of Engineers (India): Series C, 2018-02) Sinha, Rajendra Prasad.; Balaji, Rajoo.
Diesel engine is inherently an unstable machine and requires a reliable control system to regulate its speed for safe and efficient operation. Also, the diesel engine may operate at fixed or variable speeds depending upon user’s needs and accordingly the speed control system should have essential features to fulfil these requirements. This paper proposes a mathematical model of a marine diesel engine speed control system with droop governing function. The mathematical model includes static and dynamic characteristics of the control loop components. Model of static characteristic of the rotating fly weights speed sensing element provides an insight into the speed droop features of the speed controller. Because of big size and large time delay, the turbo charged diesel engine is represented as a first order system or sometimes even simplified to a pure integrator with constant gain which is considered acceptable in control literature. The proposed model is mathematically less complex and quick to use for preliminary analysis of the diesel engine speed controller performance.
A nonlinear regression-based approach to assess transformer insulation condition using dielectric response recorded for short duration /
(IEEE, 2023-01-01) Mishra, Deepak
Analysis of polarization current data is generally done to assess power transformer insulation condition. Due to considerable measurement time and low magnitude, noise and other environmental factors often affect the recorded dielectric response data. The influence of these factors cannot be avoided during field measurement. Once the recorded data are affected by external factors, it becomes difficult to analyze the data. Available literature has reported some techniques to reduce the testing time. However, these reported methods are ineffective in addressing the practical issues experienced during field measurement. This present article proposes a nonlinear regression-based approach to reduce insulation response measurement time significantly. Data collected from various in situ transformers have been analyzed to test the effectiveness of the proposed method.
A novel and fast approach for sensing activation energy for reliable health assessment of power transformer /
(IEEE, 2022-09-13) Mishra, Deepak
Activation energy represents the average rate of interaction between aging by-products and cellulose. Activation energy is a crucial parameter that can be used to identify the remaining life of insulation in high voltage (HV) equipment. Existing noninvasive methods take a significantly longer time to sense activation energy for given insulation. This is primarily due to the volume of data required for such analysis, which generally takes significant time to measure. This work reports a noninvasive and effective approach to predict activation energy of oil–paper insulation using a dielectric response that is recorded for a very short span of time. The proposed method requires polarization current data sensed for a few seconds (15–20 s) to operate. The initial decay rate (DR) of the sensed data is found to be sensitive to the activation energy. This feature of the initial DR is utilized to sense the value of activation energy within a short duration. The proposed technique utilizes the current sensor (present within an electrometer) more efficiently. This facilitates the measurement of a highly accurate polarization profile and ensures reliable activation energy estimation. The proposed methodology has been successfully applied to data collected from a few real-life transformers. Reported results show that the suggested method provides satisfactory results with good accuracy.
A novel approach towards gas turbine emission reduction by using neural networks /
(IEEE, 2023-11-15) Mitra, Kalyan
Optimizations of controlling parameters are the key factors to achieve effectual output and emission reduction from machinery running. This study relates prediction technology for gas turbine's (GT's) running optimization and emission reduction. The tool can identify upcoming disputes and alter the engine control setting to achieve highly efficient running operations. This research objects to get a machine learning approach to predict GT performance on emissions. The forecasting capabilities of this system are based on real-time data collected from a GT plant. A neural network is employed to analyze and predict the emissions of exhaust pollutants, primarily carbon monoxide and nitrogen oxides. The model performance is studied by considering the values of MSE, MAE, and residuals. The model's accuracy and precision are revealed by its low MSE (0.0035) and MAE (0.043). This approach is a cost-effective way to gage emissions accurately and can be used to confirm compliance with environmental regulations. It is also a helpful tool for monitoring the health of the turbine and identifying any potential issues with its operation.
A novel method to predict severity of thermal aging and degree of polymerization for reliable diagnosis of dry-type insulation /
(IEEE, 2022-01-01) Mishra, D.
The effect of thermal aging on Nomex-paper-based vacuum pressure impregnation (VPI) insulation is reported in this article. The frequency-dependent dielectric loss of Nomex-paper-based VPI dry insulation is affected after significant thermal aging. This variation in dielectric loss of the insulation maintains a good correlation with the duration of thermal aging. A new parameter sensitive to the severity of thermal aging is also introduced. To identify the parameter, the excitation voltage waveform and the corresponding insulation response at a given frequency are required. Determining the parameter does not require denoising of recorded waveforms, reducing the overall computational burden. Based on the newly introduced parameter, a cost-effective method is proposed to predict the dielectric loss and degree of polymerization (DP) in a thermally aged VPI-type dry insulation. The proposed method employs the intermediate frequency range and hence does not require time-consuming low-frequency measurements.
A review of developments in ballast water management
(Environmental Reviews, 2014-03) Balaji, Rajoo.; Yaakob, Omar.; Koh, Kho King.
Transportation and translocation of non-native species by ships through ballast water is one of the current issues the shipping industry is trying to address. The Ballast Water Convention is nearing full ratification after which treatment of ballast water will become mandatory for most of the trading merchant vessel categories. Ballast water management systems employing various technologies are commercially available but at high costs. Economics apart, the efficiency of these technologies and realistic ways to ensure compliance with stricter requirements of some Administrations are issues that need to be focussed upon. With the report of the Environmental Protection Agency as an assessment reference, this paper reviews the treatment technologies. Juxtaposing reports of Lloyd’s Register on the status, a concise overview of the technologies has been projected. A sustainable ballast water management based on data and assessments is proposed. The management must be extended to both shore and on-board platforms for practices, treatment, sampling, testing, and recycling. An exemplar system harvesting shipboard waste heat is projected as a route for thermal treatment in combination with technologies showing potential for optimized ballast water management
A Roadmap for Implementing Total Quality Management Practices in Medium Enterprises /
(Elsevier, 2013-01-01) Yadav, Ramanand
This paper describes a seven point framework for effective total quality management (TQM) implementation in medium enterprises (MEs). This framework shows that top management commitment and involvement is indispensable in the formulation and implementation of various quality adoption steps. The significant steps of the framework include development of mission and vision statement, formulating implementation plan, ensuring employee involvement, establishing education and training programs and starting implementation phase. At the last, continuous improvement is required to maintain the implementation effort for excellence orientation. The primary objective of this study was to prescribe a roadmap for TQM practicing MEs to adopt excellent quality practices in a simplified way. The author also tried to highlight the theoretical background while emphasizing the importance of steps of quality improvement practices. The idea behind taking MEs for adopting TQM practices is that the characteristics of MEs are most suited for it. However, TQM is a modern quality management practice which can be applied successfully to any type of enterprises, irrespective of their affiliation.
A robust identification procedure for phase field fracture mechanics parameters /
(Elsevier, 2023-07-13) Tota, Rakesh Kumar
The classical Phase Field (PF) model for fracture mechanics of brittle materials based on the finite element method involves three parameters in addition to the Poisson ratio v: the Young’s modulus E, the fracture toughness Gc, and the internal length scale Ic . The latter is mathematically conceived as a numerical regularization parameter that should tend to zero to recover linear elastic fracture mechanics (LEFM) predictions. To address this issue, a robust algorithm is implemented in MATLAB, which combines Particle Swarm Optimization (PSO) and the Phase Field (PF) approach to fracture based on the finite element method. The algorithm has been applied to a series of uni-axial tensile tests (with E and Ic to be identified) and to three-point bending tests (with E, Ic and also Gc to be identified) on specimens made of ABS material. Results show that the optimal values of E and Gc are consistent in both tests, while Ic presents a significant dependency upon the test type. Therefore, different values of the internal length scale should be identified and used to match the experimental responses under uni-axial tension or bending.
A secure way to message based on internet protocol on RSA algorithm using DNA encoding with laplace transform computing /
(Springer Nature, 2024-01-01) Sirisha, P.
Security plays a vital role in transmitting confidential information. Cryptographic algorithms are essential in providing data security against malicious attacks. The DNA- based cryptographic algorithm is one of the valuable methods for protection. RSA algorithm is widely used in the popular implementations of Public Key Infrastructures. This model presents a new approach to show how cryptography works in DNA computing. It could also transmit messages securely and effectively using the RSA algorithm with Laplace Transform belonging to public key cryptography. DNA computing technique and Laplace Transform with RSA algorithm to encrypt the message are used in this model. The proposed model shows the frequency, time, and statistical analysis to get good results.
A single measure of overall export performance /
(National Council of Applied Economic Research, 2022-08-01) Chakrabartty, Satyendra Nath
Exports are a lifeline to a country’s growth, and an overall index can describe its export performance. However, there is little evidence of a single measure encompassing all the relevant aspects of exports. A composite and multi-dimensional measure can aid in assessing the relative position of a country in the world list and identifies necessary policy interventions. The article proposes an Overall Export Performance Index that satisfies the principles of index formation—monotonicity, time reversal, robustness and an unbiased approach. The proposed index avoids selecting weights and scaling variables. It facilitates the identification of crucial indicators requiring the attention of policymakers, tracking the progress of a country across time and the computing of mean and variance of the index for a group of countries at a given time. An empirical comparison of the USA and India reveals that India registered better overall export performance than the USA from 2015 to 2018. The results suggest India’s need for reforms in existing foreign trade policies.
A study for validating, rectifying and optimizing the flow in the test section of a circulating water channel /
(Journal of Naval Architecture and Marine Engineering, 2021-12-31) Godey, Avinash
The Circulation Water Channel (CWC) is an experimental facility available at Indian Maritime University, Visakhapatnam Campus. A study for comparing the flow pattern and velocity in the test section, for different configurations of the CWC, is complex. To study the flow, a physical model of the CWC, with different configurations, should be made, which in overall is a complicated and time-consuming exercise. But this difficulty can be overcome through using Computational Fluid Dynamics (CFD) analysis, as in this study, where a CFD analysis is done using ‘STAR-CCM+’ software. A CFD model of the existing CWC [corresponding to the 1:4 scale setup at IMUV], is first made, and its validity is checked, by comparing the results of the CFD analysis, against those results obtained from the experimental analysis. On successfully validating the results, modifications are suggested for rectifying the disturbance which is present in the test section. The test section is the area in the CWC where experimental activities are carried out. In order to carry out the experiments with a certain degree of accuracy, it is important to have a smooth streamlined flow in the test section. To ensure this, a honeycomb structure is positioned such that the flow enters the test section through the honeycomb, which streamlines the flow. On successfully rectifying the disturbance, studies are carried out to improve the streamlined flow in the test section, for which, different configurations of honeycomb structure are studied. The optimum honeycomb structure, which produces a smooth flow in the test section of a CWC is found out, by conducting analyses for different shapes - i.e. for shapes ranging from rectangular to hexagonal and circular, against different inlet velocities.
A study of ballast water treatment using engine waste heat
(Journal of The Institution of Engineers (India): Series C, 2019-04) Balaji, Rajoo.; Yaakob, Omar.; Koh, Kho King.; Adnan, Faizul Amri bin.; Ismail, Nasrudin bin.; Ahmad, Badruzzaman bin.; Ismail, Mohd Arif bin.
Heat treatment of ballast water using engine waste heat can be an advantageous option complementing any proven technology. A treatment system was envisaged based on the ballast system of an existing, operational crude carrier. It was found that the available waste heat could raise the temperatures by 25 C and voyage time requirements were found to be considerable between 7 and 12 days to heat the high volumes of ballast water. Further, a heat recovery of 14–33% of input energies from exhaust gases was recorded while using a test rig arrangement representing a shipboard arrangement. With laboratory level tests at temperature ranges of around 55–75 C, almost complete species mortalities for representative phytoplankton, zooplankton and bacteria were observed while the time for exposure varied from 15 to 60 s. Based on the heat availability analyses for harvesting heat from the engine exhaust gases(vessel and test rig), heat exchanger designs were developed and optimized using Lagrangian method applying Bell–Delaware approaches. Heat exchanger designs were developed to suit test rig engines also. Based on these designs, heat exchanger and other equipment were procured and erected. The species’ mortalities were tested in this mini-scale arrangement resembling the shipboard arrangement. The mortalities realized were[95% with heat from jacket fresh water and exhaust gases alone. The viability of the system was thus validated.
A time-efficient and innovative method to determine the dp value of power transformer insulation /
(IEEE, 2024-11-22) Mishra, Deepak; Parveen, Shabnam
The DP value is a robust and reliable parameter for estimating the state of cellulose-based insulation in power transformers. However, its practical application is limited due to the invasive nature of testing. Hence, a methodology is reported in the present work to predict DP value using Polarization Depolarization recorded for a short duration. Reported results later in this paper suggest that the initial rate of measured polarization current can be used to forecast the DP value. The suggested method was successfully tested on several specimens (having different amounts of moisture percentages) prepared in the laboratory.