PV System Connected to Grid with Supercapacitor for Fault Ride through (FRT) Capabilty Enhancement
•
1 like•23 views
Abstract: NOT Copy
Report
Share
Report
Share
Download to read offline
Recommended
Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...
Abstract:- Predictive data mining is an upcoming and fast-growing field and offers a competitive edge for the benefit of organization. In recent decades, researchers have developed new techniques and intelligent algorithms for predictive data mining. In this research paper, we have proposed a novel training algorithm for optimizing neural networks for prediction purpose and to utilize it for the development of prediction models. Models developed in MATLAB Neural Network Toolbox have been tested for insurance datasets taken from a live data warehouse. A comparative study of the proposed algorithm with other popular first and second order algorithms has been presented to judge the predictive accuracy of the suggested technique. Various graphs have been presented to analyse the convergence behaviour of different algorithms towards point of minimum error.
The development of the Islamic Heritage in Southeast Asia tradition and futur...
ABSTRACT: This research explores the historical development of Islamic architecture in Southeast Asia from the first idea to design a mosque by the Prophet Mohammad until the development at these days with the various purism passages And as developed up these days with the passages of the development of the traditional type to the postmodern, finally to modern Southeast Asia. The Islamic architecture has been developed in six traditional typologies of types of mosques is renowned throughout the world. Southeast Asia mosques are divided into various types according to the regional culture as Arabic type, Turkish type, the Iranian type, the Indian type, the Chinese type and South East Asian type. This research describes the main characteristics of these types. The main purpose of this research is to draw a correlation between the descriptions of the mosques in Malaysia as presented in the traditional typology that contains in its features in main types, relations in common throughout the Islamic world, however, distinguishes itself with the architectural form according to the local tradition.
An Iot Based Smart Manifold Attendance System
ABSTRACT:- Attendance has been an age old procedure employed in different disciplines of educational institutions. While attendance systems have witnessed growth right from manual techniques to biometrics, plight of taking attendance is undeniable. In fingerprint based attendance monitoring, if fingers get roughed / scratched, it leads to misreading. Also for face recognition, students will have to make a queue and each one will have to wait until their face gets recognised. Our proposed system is employing “manifold attendance” that means employing passive attendance, where at a time, the attendance of multiple people can get captured. We have eliminated the need of queue system / paper-pen system of attendance, and just with a single click the attendance is not only captured, but monitored as well, that too without any human intervention. In the proposed system, creation of database and face detection is done by using the concepts of bounding box, whereas for face recognition we employ histogram equalization and matching technique.
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
ABSTRACT: In multi-hop ad hoc networks there exists a problem of identifying and isolating misbehaving nodes which refuses to forward packets. Audit-based Misbehavior Detection (AMD) is a comprehensive system that effectively and efficiently isolates both continuous and selective packet droppers. The AMD system integrates reputation management, trustworthy route discovery, and identification of misbehaving nodes based on behavioral audits. Compared to previous methods, AMD evaluates node behavior on a per-packet basis, without employing energy-expensive overhearing techniques or intensive acknowledgment schemes. Moreover, AMD can detect selective dropping attacks even if end-to-end traffic is encrypted and can be applied to multichannel networks or networks consisting of nodes with directional antennas. This work implements the AMD approach by considering the rushing attack. The analysis of the results confirms that AMD based method with rushing attack performs better as compared to the non rushing attack.
Human Resource Competencies: An Empirical Assessment
ABSTRACT: Human beings are the essential part of the process. Today, technology and machines are taking over the human resource, as claimed by many people; but technology and machines can never replace human resource entirely. Humans are required for operating and maintaining these machines. Human resource is extremely important for developing or bringing about new and required changes to these machines and technologies. The study of the history and the current Human Resource Management trends points out some important facts
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...
ABSTRACT: The World Bank sponsored Millennium Development Goals (MDGs), launched in 1990 envisaged a world free of poverty by the year 2015. The North-East (where Gombe State is centrally located) is experiencing significantly higher poverty and lack of progress in poverty reduction efforts. With coming to end of 2015, much still need to be done to attain the MDGs. With over 62.6% Nigerian population still very poor, there is need for a continuous search for alternative planning & development options that would help ameliorate poverty and sustained our dream for a world free of poverty and wants. This study examines the prospects and investigates the constraints of Non-Governmental Organizations (NGOs) in poverty alleviation and community development. Literature review, questionnaire and interview methods were used for the study. The findings revealed that: finance, continuity of projects/programmes, conflicts and insecurity were the major problems confronting the NGOs. An interesting revelation is that majority of the respondents indicated that they wait for the NGOs or Government to initiate poverty alleviation programmes/projects. The implication is that the community dwellers need attitudinal change necessary for self reliance. The prospect of NGOs in poverty alleviation and community development in the study area is very bright due to rapid population growth & increasing poverty levels with the attendant positive effects on urban planning and regional development. The study recommends that NGOs should (1) form an association to enable them work together, and utilize social capital in their operation/services. (2) seek to explore avenues for funding from donor agencies. Finally, the Government needs to address some of its short comings.
Development of Regression Model Using Lasso And Optimisation of Process Param...
ABSTRACT:- Metal Spinning is a concept of describing the forming of metal into seamless, axisymmetric shapes by a combination of rotational motion and force. Sheet metal spinning is one of the metal forming processes, which a flat metal blank is rotated at a high speed and formed into an axisymmetric part by a roller which gradually forces the blank on to a mandrel, bearing the final shape of the spun part. Over the last few decades, sheet metal spinning has developed significantly and spun products have been used in various industries. Nowadays the process has been expanded to new horizons in industries, since tendency to use minimum tool and equipment costs and also using lower forces with the output of excellent surface quality and good mechanical properties. The automation of the process is of greater importance, due to its wider applications like decorative household‟s goods, rocket nose cones, gas cylinders etc. The objective of the current work is to develop the mathematical model for the spinning process with surface roughness as response and the input parameters as Mandrel speed (rpm), geometry of the Roller and Thickness of sheet (mm). Type of mandrel (EN8 Material) considered in the spinning process has the geometrical profile of parabola and single roller and double roller tools (EN8 Material) are used to deform the Al2024-T3 sheet metal paper aims to understand the process parameters that affect the surface finish of the spun component. Full factorial Design of Experiments technique is used to find the minimum number of experimental trials that are required to develop the regression model. A regression model using Least Absolute Shrinkage and Selection Operator (Lasso) is developed to further deepen the understanding between the input parameters and the surface roughness. The model was optimised using Sequential Quadratic Programming.
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...
ABSTRACT: In the developing countries like India, need of infrastructure is very high as compared to the available resources. The various organizations put their demands to state and center government for sanction of their project, government depends upon its various department to provide an approximate cost so that priorities can be assigned. The conventional procedure depends upon the land surveying, collection of data from various departments resulting in delay in necessary decision making or some time shelving due to unreasonable cost estimate due to field data being very old. Survey of India, The National Survey and Mapping Organization single handily taking this responsibility thus up gradation of data is far behind the actual development. From the satellite data, which is available in the form of images and terrains (even in 3d LiDAR points for some areas) is very useful for Feasibility Study, and Preliminary Project Report. In the present study natural drain named „Chai Nala‟ meanders through the prime property of Greater Mohali Area Development Authority (GMADA) thus making a big chunk of commercial land inoperative. It was proposed to straighten and channelize to reclaim the land from drain regime. Being the precious land department wanted the most economical and technically sound design without taking any risk. It was decided to counter check the hydraulic data, ground profile, acquired from the Punjab Irrigation Department with the satellite data and Differential Global Positioning System (DGPS). The data from the Google Earth was acquired using Cad Earth software and water shed analysis was carried out using Autodesk Civil 3D software. Comparison of results shows that this technique is quite useful and can be for preliminary feasibility and project preparation. Thus saving huge money and time.
Recommended
Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...
Abstract:- Predictive data mining is an upcoming and fast-growing field and offers a competitive edge for the benefit of organization. In recent decades, researchers have developed new techniques and intelligent algorithms for predictive data mining. In this research paper, we have proposed a novel training algorithm for optimizing neural networks for prediction purpose and to utilize it for the development of prediction models. Models developed in MATLAB Neural Network Toolbox have been tested for insurance datasets taken from a live data warehouse. A comparative study of the proposed algorithm with other popular first and second order algorithms has been presented to judge the predictive accuracy of the suggested technique. Various graphs have been presented to analyse the convergence behaviour of different algorithms towards point of minimum error.
The development of the Islamic Heritage in Southeast Asia tradition and futur...
ABSTRACT: This research explores the historical development of Islamic architecture in Southeast Asia from the first idea to design a mosque by the Prophet Mohammad until the development at these days with the various purism passages And as developed up these days with the passages of the development of the traditional type to the postmodern, finally to modern Southeast Asia. The Islamic architecture has been developed in six traditional typologies of types of mosques is renowned throughout the world. Southeast Asia mosques are divided into various types according to the regional culture as Arabic type, Turkish type, the Iranian type, the Indian type, the Chinese type and South East Asian type. This research describes the main characteristics of these types. The main purpose of this research is to draw a correlation between the descriptions of the mosques in Malaysia as presented in the traditional typology that contains in its features in main types, relations in common throughout the Islamic world, however, distinguishes itself with the architectural form according to the local tradition.
An Iot Based Smart Manifold Attendance System
ABSTRACT:- Attendance has been an age old procedure employed in different disciplines of educational institutions. While attendance systems have witnessed growth right from manual techniques to biometrics, plight of taking attendance is undeniable. In fingerprint based attendance monitoring, if fingers get roughed / scratched, it leads to misreading. Also for face recognition, students will have to make a queue and each one will have to wait until their face gets recognised. Our proposed system is employing “manifold attendance” that means employing passive attendance, where at a time, the attendance of multiple people can get captured. We have eliminated the need of queue system / paper-pen system of attendance, and just with a single click the attendance is not only captured, but monitored as well, that too without any human intervention. In the proposed system, creation of database and face detection is done by using the concepts of bounding box, whereas for face recognition we employ histogram equalization and matching technique.
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
ABSTRACT: In multi-hop ad hoc networks there exists a problem of identifying and isolating misbehaving nodes which refuses to forward packets. Audit-based Misbehavior Detection (AMD) is a comprehensive system that effectively and efficiently isolates both continuous and selective packet droppers. The AMD system integrates reputation management, trustworthy route discovery, and identification of misbehaving nodes based on behavioral audits. Compared to previous methods, AMD evaluates node behavior on a per-packet basis, without employing energy-expensive overhearing techniques or intensive acknowledgment schemes. Moreover, AMD can detect selective dropping attacks even if end-to-end traffic is encrypted and can be applied to multichannel networks or networks consisting of nodes with directional antennas. This work implements the AMD approach by considering the rushing attack. The analysis of the results confirms that AMD based method with rushing attack performs better as compared to the non rushing attack.
Human Resource Competencies: An Empirical Assessment
ABSTRACT: Human beings are the essential part of the process. Today, technology and machines are taking over the human resource, as claimed by many people; but technology and machines can never replace human resource entirely. Humans are required for operating and maintaining these machines. Human resource is extremely important for developing or bringing about new and required changes to these machines and technologies. The study of the history and the current Human Resource Management trends points out some important facts
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...
ABSTRACT: The World Bank sponsored Millennium Development Goals (MDGs), launched in 1990 envisaged a world free of poverty by the year 2015. The North-East (where Gombe State is centrally located) is experiencing significantly higher poverty and lack of progress in poverty reduction efforts. With coming to end of 2015, much still need to be done to attain the MDGs. With over 62.6% Nigerian population still very poor, there is need for a continuous search for alternative planning & development options that would help ameliorate poverty and sustained our dream for a world free of poverty and wants. This study examines the prospects and investigates the constraints of Non-Governmental Organizations (NGOs) in poverty alleviation and community development. Literature review, questionnaire and interview methods were used for the study. The findings revealed that: finance, continuity of projects/programmes, conflicts and insecurity were the major problems confronting the NGOs. An interesting revelation is that majority of the respondents indicated that they wait for the NGOs or Government to initiate poverty alleviation programmes/projects. The implication is that the community dwellers need attitudinal change necessary for self reliance. The prospect of NGOs in poverty alleviation and community development in the study area is very bright due to rapid population growth & increasing poverty levels with the attendant positive effects on urban planning and regional development. The study recommends that NGOs should (1) form an association to enable them work together, and utilize social capital in their operation/services. (2) seek to explore avenues for funding from donor agencies. Finally, the Government needs to address some of its short comings.
Development of Regression Model Using Lasso And Optimisation of Process Param...
ABSTRACT:- Metal Spinning is a concept of describing the forming of metal into seamless, axisymmetric shapes by a combination of rotational motion and force. Sheet metal spinning is one of the metal forming processes, which a flat metal blank is rotated at a high speed and formed into an axisymmetric part by a roller which gradually forces the blank on to a mandrel, bearing the final shape of the spun part. Over the last few decades, sheet metal spinning has developed significantly and spun products have been used in various industries. Nowadays the process has been expanded to new horizons in industries, since tendency to use minimum tool and equipment costs and also using lower forces with the output of excellent surface quality and good mechanical properties. The automation of the process is of greater importance, due to its wider applications like decorative household‟s goods, rocket nose cones, gas cylinders etc. The objective of the current work is to develop the mathematical model for the spinning process with surface roughness as response and the input parameters as Mandrel speed (rpm), geometry of the Roller and Thickness of sheet (mm). Type of mandrel (EN8 Material) considered in the spinning process has the geometrical profile of parabola and single roller and double roller tools (EN8 Material) are used to deform the Al2024-T3 sheet metal paper aims to understand the process parameters that affect the surface finish of the spun component. Full factorial Design of Experiments technique is used to find the minimum number of experimental trials that are required to develop the regression model. A regression model using Least Absolute Shrinkage and Selection Operator (Lasso) is developed to further deepen the understanding between the input parameters and the surface roughness. The model was optimised using Sequential Quadratic Programming.
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...
ABSTRACT: In the developing countries like India, need of infrastructure is very high as compared to the available resources. The various organizations put their demands to state and center government for sanction of their project, government depends upon its various department to provide an approximate cost so that priorities can be assigned. The conventional procedure depends upon the land surveying, collection of data from various departments resulting in delay in necessary decision making or some time shelving due to unreasonable cost estimate due to field data being very old. Survey of India, The National Survey and Mapping Organization single handily taking this responsibility thus up gradation of data is far behind the actual development. From the satellite data, which is available in the form of images and terrains (even in 3d LiDAR points for some areas) is very useful for Feasibility Study, and Preliminary Project Report. In the present study natural drain named „Chai Nala‟ meanders through the prime property of Greater Mohali Area Development Authority (GMADA) thus making a big chunk of commercial land inoperative. It was proposed to straighten and channelize to reclaim the land from drain regime. Being the precious land department wanted the most economical and technically sound design without taking any risk. It was decided to counter check the hydraulic data, ground profile, acquired from the Punjab Irrigation Department with the satellite data and Differential Global Positioning System (DGPS). The data from the Google Earth was acquired using Cad Earth software and water shed analysis was carried out using Autodesk Civil 3D software. Comparison of results shows that this technique is quite useful and can be for preliminary feasibility and project preparation. Thus saving huge money and time.
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
ABSTRACT: Magnesium oxide (MgO) nanoparticles have been synthesized by Microwave assisted Sol gel synthesis method by using the precursors citric acid (C2O4H2) and magnesium chloride (Mgcl2.6H2O). It is a simple, novel and cost effective method. The structure, morphology and crystalline phase of the magnesium oxide nanocrystals have been investigated by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD).Presence of functional groups and optical characters are analyzed by using FTIR and UV- visible techniques
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
ABSTRACT: Three-phase induction motors produce mechanical power by electromagnetic induction and run on a 3-phase ac supply. They require efficient speed control, to enable them do variable speed operations, save power consumption and reduce machine noise. In this dissertation, a new switching device called MosControlled Thyristor (MCT) for frequency drive is introduced. Based on the new switching device and AT89C52 microcontroller, an enhanced frequency drive for controlling the speed and torque of 3-phase 15kW squirrel cage induction motor is modeled. Different voltages ranging from 342V to 415V and frequencies ranging from 50Hz to 60Hz are used in a systematic manner to simulate the system based on the new switching device. The simulation program is written in C language and tested with Proteus 7.6 simulation software. Voltage and frequency have significant impact on the actual speed and torque of the motor. Simulation results show that with the new model, the torque (56.66Nm) developed by the motor which is constant throughout each speed range is directly proportional to the ratio (6.7:1) of the applied voltage and the frequency of the supply and the selected speeds (1450, 1510, 1570, 1630, 1690 and 1750 rpm) are locked irrespective of change in load. This is unlike other models where magnetic saturation and conduction drop of IGBT lead to voltage/frequency imbalance resulting in excessive drawing of current by the motor and overheating. This new control method has a speed regulation of ±2 to 3% of maximum frequency, speed response of 3Hz, speed control range of 1: 40 and efficiency of 88%, as further advantages. Comparison of the system with other speed control techniques shows improved energy-saving, cost effectiveness and safety in operation. The contributions of this research aim to make Volts per Hertz speed control method based on MCT a reliable better alternative to other well known methods in speed control of three-phase induction motors
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
ABSTRACT: Short-term load forecasting is a key issue for reliable and economic operation of power systems. This paper aims to develop short-term electric load forecasting ARIMA Model for Karnataka Electrical Load pattern based on Stochastic Time Series Analysis. The logical and organised procedures for model development using Autocorrelation Function and Partial Autocorrelation Function make ARIMA Model particularly attractive. The methodology involves Initial Model Development Phase, Parameter Estimation Phase and Forecasting Phase. To confirm the effectiveness, the proposed model is developed and tested using the historical data of Karnataka Electrical Load pattern (2016). The forecasting error of ARIMA Model is computed and results have shown favourable forecasting accuracy.
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
ABSTRACT: When a new product is launched, a manufacturer applies the strategy of offering a quantity incentive initially for some time to boost up the demand of the product. The present paper describes a manufacturing inventory model with price sensitive demand enhanced by a quantity incentive. Later on demand becomes time increasing also. Inventory cycle starts with low production rate which is followed by higher production rate when demand is boosted up. Shortages are not allowed in this model. Presentation of numerical examples, tables, graphs and sensitivity analysis describes the model very well. Lastly case without incentive illustrates that usually the quantity incentive offered initially is beneficial.
Analysis of failure behavior of shear connection in push-out specimen by thre...
ABSTRACT:- This study analyzes the failure mechanism of shear connection by three-dimensional finite element analysis (FEA) of push-out specimens that was practically unaffordable experimentally or by twodimensional FEA. For the analysis of the failure behavior of the compression strut formed in the loaded concrete member, the three-dimensional principal stress space is transformed into two-dimensional space by means of the relation between the hydrostatic stress and the deviatoric stress. The analysis of the stress state in the compression strut revealed that the deviatoric stress increases with larger load particularly in the concrete surrounding the lower part of the shear stud. Accordingly, bearing failure of concrete occurred locally within a limited region in the slab. The steep increase of the deviatoric stress accompanying the increase of the load resulted in the failure of concrete around the lower part of the shear stud, which in turn provoked the deformation and the development of bending moment of the shear stud. Finally, plastic hinge formed in the shear stud leading it to reach its limit state. The proposed finite element model can also be used to model the shear connection of the composite beam and, the proposed stress analysis method can be applied to analyze its composite action behavior.
Discrete Time Batch Arrival Queue with Multiple Vacations
ABSTRACT:- In this paper we consider a discrete time batch arrival queueing system with multiple vacations. It is assume that the service of customers arrived in the system between a fixed intervals of time after which the service goes on vacations after completion of one service of cycle is taken up at the boundaries of the fixed duration of time. This is the case of late arrival. In case of early arrival i.e. arrival before the start of next cycles of service. If the customer finds the system empty, it is served immediately. We prove the Stochastic decomposition property for queue length and waiting time distribution for both the models.
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
ABSTRACT:- In arid regions, extreme rainfall event frequency predictions are still a challenging problem, because of the rain gauge stations scarcity and the record length limitation, which are usually short to insure reliable quantile estimates. Regional frequency analysis is one of the popular approaches used to compensate the data limitation. In this paper, regional frequency analysis of maximum daily rainfall is investigated for Madinah province in the Western Kingdom of Saudi Arabia (KSA). The observed maximum daily rainfall records of 20 rainfall stations are selected from 1968 to 2015. The rainfall data is evaluated using four tests, namely, Discordance test (Di), Homogeneity test (H), Goodness of fit test (Zdist) and L-moment ratios diagram (LMRD). The Di of L-moments shows that all the sites belong to one group (Di <3.0).><1). Finally, the Zdist is used to evaluate five probability distribution functions (PDFs) including generalized logistic (GLO), generalized extreme value (GEV), generalized normal (GNO), generalized Pareto (GPA), and Pearson Type III (PE3). Zdist and LMRD both showed that PE3 distribution is the best among the other PDFs. The regional parameters of the candidate PDF are computed using L-moments approach and accordingly the regional dimensionless growth curve is developed. The results enhance the accuracy of extreme rainfall prediction at-sites and also they can be used for ungauged catchment in the region.
Implementing Oracle Utility-Meter Data Management For Power Consumption
ABSTRACT: In this digital mobile world, it‟s need of time to streamline and increase efficiency in business processes like effective data collection, measurement, automatic validation, editing and estimation of measurement data, analysis and dashboard for forecasting and ease in end user accessibility with Just in Time. This paper is following two methodology in this process. CEMLI is an extensive framework for developing and implementing for Oracle whereas OUM is business process and use case driven process which supports products, tool, technologies and documentation. This paper have focused on analytical data, system automation functionality along with prototype designing. For this, analysts and administrators will collect and define calculation rule for data collection and measurement, deployment methods, dashboards and security features. This paper gives measure understanding of cloud technologies and their features like services (SaaS), deployment methods, security and ability to reduce overhead cost, downtime, and automate business processes with 360 degree review and analysis. It consolidates data in one system with volumes of analog and interval data which facilitates new customer with offering and effective program. Also it maximizes return on investments and protects revenue through comprehensive exception management.
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
ABSTRACT: Business Intelligence is a socio-technical concept emerged to help managers especially in their decision making tasks. A manager with different decision making styles has been started to make use of business intelligence in their own ways. Are the all managers taking benefits of Business intelligence in the same way? Does Business intelligence give each category what they want in the decision making process? If the answer to these questions is – No, then what is the expectation of managers from BI having different decision making style? Will BI could satisfy their needs? If yes, then how? By using well-formed theory in different styles of decision making and taking BI capabilities into consideration this paper highlights the framework which defines appropriate BI capabilities with each decision making style. Study shows in order to serve each style of decision in which BI capabilities changes with respect to style. It is believed that by making BI customized based on decision making styles; BI would be the much more successful in serving all the categories of managers
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
This document discusses the effect of water and ethyl alcohol mixed solvent systems on the stability of metal complexes formed between beta-hydroxy ketone and benzotriazole ligands. The study examines ternary complexes of copper, nickel, zinc, and cobalt ions with different beta-hydroxy ketone and benzotriazole derivatives. The stabilities of the complexes were determined using pH metric titration and found to vary with the solvent composition. Intramolecular interactions between the ligands were found to contribute significantly to complex stability. Copper formed the most stable complexes while cobalt formed the least stable.
Design of Synthesizable Asynchronous FIFO And Implementation on FPGA
ABSTRACT: This paper presents a design of asynchronous FIFO which, along with the regular status signals, consists of some extra status signals for more user-friendly design and added safety. Gray code pointers are used in the design. For synchronisation purpose, two synchroniser modules are used which contain two D-flip-flops each. The design is implemented and synthesised at register transfer level (RTL) using Verilog HDL. Simulation and implementation is done using Xilinx ISE Design Suite. Further, the design is implemented on Basys 2 Spartan-3E FPGA Board. Asynchronous FIFO is used to carry out steady data transmission at high speeds between two asynchronous clock domains.
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
ABSTRACT: This paper enumerates the status and challenges of exploration, exploitation and development of renewable energy resources and its roles in sustainable development in Africa. A brief review of energy and renewable energy resources in Africa was succinctly done. The concept of sustainable development as it borders on the Renewable Energy Technologies and their roles were also discussed. The challenges facing the acceptance, deployment and promotion of Renewable Energy Technologies in Africa were also highlighted. The barriers were classified as; policy, regulation and institutional; information and technical capacity and financial. Recommendations were made towards solving problems peculiar to exploration, exploitation and development of Renewable Energy in entirety in Africa.
Power Quality Disturbaces Clasification And Automatic Detection Using Wavelet...
Abstract— In this paper a development method to detect and classify the several power quality problems using the discrete wavelet transformation and artificial neural networks combined. There are several other methods in use to detect the same problem like Hilbert transform, Gabor transform, Gabor-Wigner transform, S transform, and Hilbert-Haung transform. The method of using wavelet and ANN includes the development of voltage waveforms of sampling rate and number of cycles, and also large number of power quality events with help of MATLAB software. The wavelet transformation and ANN tools used to get required coefficients. The obtained events of power quality monitored in each step to classify the particular event. These steps of the paper lead towards the automatic real time monitoring, detection and classification of power signals
The Role of Burnishing Process in Manufacturing Industry -A State-of-the-Art ...
ABSTRACT:Burnishing process is a surface enhancement technique, which improves the surface finish of the component along with surface properties of the component. It is a cost effective process, mostly used in aerospace, biomedical, and automobile industries to improve reliability and performance of the component. In burnishing process, response parameters depends on burnishing process parameters, tool, and material on which burnishing is done. The key driving forces for newer production technologies and material development are strength to weight ratio of materials, performance and reliability improvement. The availability of appropriate manufacturing methods plays a vital role with respect to both material properties, cost. Authors tried to review the research papers of last four decades and progress of burnishing process is discussed.
Study of Membrane Transport for Protein Filtration Using Artificial Neural Ne...
ABSTRACT: Artificial Neural Networks (ANNs) are nonlinear mapping structures which functions same as human brain. Modeling can be made stronger especially while the underlying data relationship is not known. ANNs may recognize and learn inter-related patterns between input data sets and related target values. After training, ANNs may be utilized to judge the output of new independent input data. Thus ANNs are used best for the modeling of membrane processes, like ultra filtration and microfiltration. This allows us to judge the permeate flux and membrane rejection as functions of process variables. The aim is modeling of membrane transport for protein filtration is to analyze membrane systems by means of ANNs. To analyze this different ANNs are developed with the help of Mat lab. [1a][9]
Effect on Geotechnical Properties of Pond Ash with Variation of Compactive En...
ABSTRACT: With the increase in the number of coal based thermal power plants in India, generation of coal ash has reached enormous proportions. India at present produces around 120 Million tonnes of Ash per annum. The power requirements of the country are rapidly increasing with increase in growth of the industrial sectors. India depends on Thermal power as its main source (around 80% of power produced is thermal power), as a result the quantity of Ash produced shall also increase. Indian coal on an average has 35 % Ash and this is one of the prime factors which shall lead to increased ash production and hence, Ash utilization problems for the country. Out of the total ash produced. Fly ash contributes to a small percentage, majority being Pond ash and bottom ash. Ash disposal involves design and installation of ash ponds, which in addition to covering quite large area at each plant site, creates aesthetic as well as hygienic environmental impacts. This has warranted the scientific and industrial community to initiate research and development work for finding avenues for the innovative use and safe disposal of the pond ash so that instead of a waste product, the pond ash could be considered as a usable by-product. Though a lot of research has been carried out for the effective utilization of pond ash like its use in construction industry etc, little literature is available on pond ash utilization particularly its use as a foundation material. One way of disposing off pond ash would be its use as a structural fill material and use as embankment material in highways. The present work aims at evaluating the response of pond ash to various compactive efforts. The compactive efforts have been varied as 595 kg/m3 to 2674 kg/m3 of sample and effect of compaction energy on maximum dry density and optimum moisture content have been evaluated by conducting proctor compaction tests, the shear strength parameters of pond ash samples compacted to different dry densities and moisture contents.
Estimation of Ensembles in an Adventitious Wave by EMD and EEMD Techniques
Abstract:- The Empirical Mode Decomposition (EMD) is a basic building block of Hilbert-Huang Transformation. The main principle behind EMD is to decompose a sound wave into its intrinsic mode function (IMF). The time domain analysis is fairly described with EMD breaking down. The basis is derived from the same sound wave only. The analysis is useful for affected respiratory sound waves, which are non-linear and non-stationary in nature. Huang and Wu established another milestone in the area of EMD called Ensemble Empirical Mode Decomposition (EEMD). The EEMD is now can be used to interpolate a sound wave from the affected waveform. The EEMD specify a certain TRUE IMF components as an ensemble mean, every component consists of a sound wave in addition to Gaussian Noise of certain amplitude. In this paper, the mean and standard deviation at a different instance of the affected wheezing respiratory wave is discussed. The comparison between crackle wave and the wheezing wave is listed with respect to mean and standard deviation. The results specified in the table shows that the EEMD is an efficient technique for minimizing noise affected with abnormal lung waves.
Building Energy Efficiency Into Energy Equation
The document discusses building energy efficiency into the energy production process. It notes that most energy is lost during conversion from raw materials to final energy use. Improving efficiency at all stages of energy production from generation to transmission to end use can significantly reduce energy losses and environmental impacts. Specific strategies discussed include improving generator efficiency, reducing transmission and distribution losses through higher voltage lines and equipment upgrades, and increasing industrial motor and building efficiency through technologies like variable speed drives. The benefits of improved efficiency are lower energy costs, reduced carbon emissions, and increased sustainability and energy security.
A Novel Approach for Detecting the IRIS Crypts
ABSTRACT:- The iris is a stable biometric trait that has been widely used for human recognition in various applications. However, deployment of iris recognition in forensic applications has not been reported. A primary reason is the lack of human friendly techniques for iris comparison. To further promote the use of iris recognition in forensics, the similarity between irises should be made visualizable and interpretable. Recently, a human-in-the-loop iris recognition system was developed, based on detecting and matching iris crypts. Building on this framework, we propose a new approach for detecting and matching iris crypts automatically. Our detection method is able to capture iris crypts of various sizes. Our matching scheme is designed to handle potential topological changes in the detection of the same crypt in different images. Our approach outperforms the known visible-feature-based iris recognition method on three different data sets. After iris Crypts detection, Iris images were taken before and after the treatment of eye disease and the output shows the mathematical difference obtained from treatment. Gabor filter is used to extract the features. This iris recognition was effectively withstood with most ophthalmic disease like corneal oedema, iridotomies and conjunctivitis. This proposed iris recognition should be used to solve the potential problems that could cause in key biometric technology and medical diagnosis
Comparative Study of Various Filtering Techniques to Reduce Harmonics in HVDC...
Abstract: The Geomagnetically induced current adversely effects the power system. Main impact of geomagnetically induced current is on power transformer and also HVDC converter transformer. Because of the interaction of the solar storm on earth, there is a occurrence of DC bias current. Many harmful effects are observed in the HVDC converter transformer. The invasion of geomagnetically induced current into the converter transformer is through neutral wire which will result into the saturation of converter transformer core saturation. This leads to the production of harmonics in the power system. Because of the harmonics, many other adverse effects are seen to be occurring which includes heating of transformer core, windings may burn, etc. This paper presents the techniques to inhibit the invasion of Geomagnetically induced current into the converter transformer neutral. Furthermore, it gives a comparative study of the various techniques by examining it in MATLAB/SIMULINK.
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
More Related Content
More from IJERDJOURNAL
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
ABSTRACT: Magnesium oxide (MgO) nanoparticles have been synthesized by Microwave assisted Sol gel synthesis method by using the precursors citric acid (C2O4H2) and magnesium chloride (Mgcl2.6H2O). It is a simple, novel and cost effective method. The structure, morphology and crystalline phase of the magnesium oxide nanocrystals have been investigated by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD).Presence of functional groups and optical characters are analyzed by using FTIR and UV- visible techniques
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
ABSTRACT: Three-phase induction motors produce mechanical power by electromagnetic induction and run on a 3-phase ac supply. They require efficient speed control, to enable them do variable speed operations, save power consumption and reduce machine noise. In this dissertation, a new switching device called MosControlled Thyristor (MCT) for frequency drive is introduced. Based on the new switching device and AT89C52 microcontroller, an enhanced frequency drive for controlling the speed and torque of 3-phase 15kW squirrel cage induction motor is modeled. Different voltages ranging from 342V to 415V and frequencies ranging from 50Hz to 60Hz are used in a systematic manner to simulate the system based on the new switching device. The simulation program is written in C language and tested with Proteus 7.6 simulation software. Voltage and frequency have significant impact on the actual speed and torque of the motor. Simulation results show that with the new model, the torque (56.66Nm) developed by the motor which is constant throughout each speed range is directly proportional to the ratio (6.7:1) of the applied voltage and the frequency of the supply and the selected speeds (1450, 1510, 1570, 1630, 1690 and 1750 rpm) are locked irrespective of change in load. This is unlike other models where magnetic saturation and conduction drop of IGBT lead to voltage/frequency imbalance resulting in excessive drawing of current by the motor and overheating. This new control method has a speed regulation of ±2 to 3% of maximum frequency, speed response of 3Hz, speed control range of 1: 40 and efficiency of 88%, as further advantages. Comparison of the system with other speed control techniques shows improved energy-saving, cost effectiveness and safety in operation. The contributions of this research aim to make Volts per Hertz speed control method based on MCT a reliable better alternative to other well known methods in speed control of three-phase induction motors
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
ABSTRACT: Short-term load forecasting is a key issue for reliable and economic operation of power systems. This paper aims to develop short-term electric load forecasting ARIMA Model for Karnataka Electrical Load pattern based on Stochastic Time Series Analysis. The logical and organised procedures for model development using Autocorrelation Function and Partial Autocorrelation Function make ARIMA Model particularly attractive. The methodology involves Initial Model Development Phase, Parameter Estimation Phase and Forecasting Phase. To confirm the effectiveness, the proposed model is developed and tested using the historical data of Karnataka Electrical Load pattern (2016). The forecasting error of ARIMA Model is computed and results have shown favourable forecasting accuracy.
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
ABSTRACT: When a new product is launched, a manufacturer applies the strategy of offering a quantity incentive initially for some time to boost up the demand of the product. The present paper describes a manufacturing inventory model with price sensitive demand enhanced by a quantity incentive. Later on demand becomes time increasing also. Inventory cycle starts with low production rate which is followed by higher production rate when demand is boosted up. Shortages are not allowed in this model. Presentation of numerical examples, tables, graphs and sensitivity analysis describes the model very well. Lastly case without incentive illustrates that usually the quantity incentive offered initially is beneficial.
Analysis of failure behavior of shear connection in push-out specimen by thre...
ABSTRACT:- This study analyzes the failure mechanism of shear connection by three-dimensional finite element analysis (FEA) of push-out specimens that was practically unaffordable experimentally or by twodimensional FEA. For the analysis of the failure behavior of the compression strut formed in the loaded concrete member, the three-dimensional principal stress space is transformed into two-dimensional space by means of the relation between the hydrostatic stress and the deviatoric stress. The analysis of the stress state in the compression strut revealed that the deviatoric stress increases with larger load particularly in the concrete surrounding the lower part of the shear stud. Accordingly, bearing failure of concrete occurred locally within a limited region in the slab. The steep increase of the deviatoric stress accompanying the increase of the load resulted in the failure of concrete around the lower part of the shear stud, which in turn provoked the deformation and the development of bending moment of the shear stud. Finally, plastic hinge formed in the shear stud leading it to reach its limit state. The proposed finite element model can also be used to model the shear connection of the composite beam and, the proposed stress analysis method can be applied to analyze its composite action behavior.
Discrete Time Batch Arrival Queue with Multiple Vacations
ABSTRACT:- In this paper we consider a discrete time batch arrival queueing system with multiple vacations. It is assume that the service of customers arrived in the system between a fixed intervals of time after which the service goes on vacations after completion of one service of cycle is taken up at the boundaries of the fixed duration of time. This is the case of late arrival. In case of early arrival i.e. arrival before the start of next cycles of service. If the customer finds the system empty, it is served immediately. We prove the Stochastic decomposition property for queue length and waiting time distribution for both the models.
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
ABSTRACT:- In arid regions, extreme rainfall event frequency predictions are still a challenging problem, because of the rain gauge stations scarcity and the record length limitation, which are usually short to insure reliable quantile estimates. Regional frequency analysis is one of the popular approaches used to compensate the data limitation. In this paper, regional frequency analysis of maximum daily rainfall is investigated for Madinah province in the Western Kingdom of Saudi Arabia (KSA). The observed maximum daily rainfall records of 20 rainfall stations are selected from 1968 to 2015. The rainfall data is evaluated using four tests, namely, Discordance test (Di), Homogeneity test (H), Goodness of fit test (Zdist) and L-moment ratios diagram (LMRD). The Di of L-moments shows that all the sites belong to one group (Di <3.0).><1). Finally, the Zdist is used to evaluate five probability distribution functions (PDFs) including generalized logistic (GLO), generalized extreme value (GEV), generalized normal (GNO), generalized Pareto (GPA), and Pearson Type III (PE3). Zdist and LMRD both showed that PE3 distribution is the best among the other PDFs. The regional parameters of the candidate PDF are computed using L-moments approach and accordingly the regional dimensionless growth curve is developed. The results enhance the accuracy of extreme rainfall prediction at-sites and also they can be used for ungauged catchment in the region.
Implementing Oracle Utility-Meter Data Management For Power Consumption
ABSTRACT: In this digital mobile world, it‟s need of time to streamline and increase efficiency in business processes like effective data collection, measurement, automatic validation, editing and estimation of measurement data, analysis and dashboard for forecasting and ease in end user accessibility with Just in Time. This paper is following two methodology in this process. CEMLI is an extensive framework for developing and implementing for Oracle whereas OUM is business process and use case driven process which supports products, tool, technologies and documentation. This paper have focused on analytical data, system automation functionality along with prototype designing. For this, analysts and administrators will collect and define calculation rule for data collection and measurement, deployment methods, dashboards and security features. This paper gives measure understanding of cloud technologies and their features like services (SaaS), deployment methods, security and ability to reduce overhead cost, downtime, and automate business processes with 360 degree review and analysis. It consolidates data in one system with volumes of analog and interval data which facilitates new customer with offering and effective program. Also it maximizes return on investments and protects revenue through comprehensive exception management.
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
ABSTRACT: Business Intelligence is a socio-technical concept emerged to help managers especially in their decision making tasks. A manager with different decision making styles has been started to make use of business intelligence in their own ways. Are the all managers taking benefits of Business intelligence in the same way? Does Business intelligence give each category what they want in the decision making process? If the answer to these questions is – No, then what is the expectation of managers from BI having different decision making style? Will BI could satisfy their needs? If yes, then how? By using well-formed theory in different styles of decision making and taking BI capabilities into consideration this paper highlights the framework which defines appropriate BI capabilities with each decision making style. Study shows in order to serve each style of decision in which BI capabilities changes with respect to style. It is believed that by making BI customized based on decision making styles; BI would be the much more successful in serving all the categories of managers
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
This document discusses the effect of water and ethyl alcohol mixed solvent systems on the stability of metal complexes formed between beta-hydroxy ketone and benzotriazole ligands. The study examines ternary complexes of copper, nickel, zinc, and cobalt ions with different beta-hydroxy ketone and benzotriazole derivatives. The stabilities of the complexes were determined using pH metric titration and found to vary with the solvent composition. Intramolecular interactions between the ligands were found to contribute significantly to complex stability. Copper formed the most stable complexes while cobalt formed the least stable.
Design of Synthesizable Asynchronous FIFO And Implementation on FPGA
ABSTRACT: This paper presents a design of asynchronous FIFO which, along with the regular status signals, consists of some extra status signals for more user-friendly design and added safety. Gray code pointers are used in the design. For synchronisation purpose, two synchroniser modules are used which contain two D-flip-flops each. The design is implemented and synthesised at register transfer level (RTL) using Verilog HDL. Simulation and implementation is done using Xilinx ISE Design Suite. Further, the design is implemented on Basys 2 Spartan-3E FPGA Board. Asynchronous FIFO is used to carry out steady data transmission at high speeds between two asynchronous clock domains.
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
ABSTRACT: This paper enumerates the status and challenges of exploration, exploitation and development of renewable energy resources and its roles in sustainable development in Africa. A brief review of energy and renewable energy resources in Africa was succinctly done. The concept of sustainable development as it borders on the Renewable Energy Technologies and their roles were also discussed. The challenges facing the acceptance, deployment and promotion of Renewable Energy Technologies in Africa were also highlighted. The barriers were classified as; policy, regulation and institutional; information and technical capacity and financial. Recommendations were made towards solving problems peculiar to exploration, exploitation and development of Renewable Energy in entirety in Africa.
Power Quality Disturbaces Clasification And Automatic Detection Using Wavelet...
Abstract— In this paper a development method to detect and classify the several power quality problems using the discrete wavelet transformation and artificial neural networks combined. There are several other methods in use to detect the same problem like Hilbert transform, Gabor transform, Gabor-Wigner transform, S transform, and Hilbert-Haung transform. The method of using wavelet and ANN includes the development of voltage waveforms of sampling rate and number of cycles, and also large number of power quality events with help of MATLAB software. The wavelet transformation and ANN tools used to get required coefficients. The obtained events of power quality monitored in each step to classify the particular event. These steps of the paper lead towards the automatic real time monitoring, detection and classification of power signals
The Role of Burnishing Process in Manufacturing Industry -A State-of-the-Art ...
ABSTRACT:Burnishing process is a surface enhancement technique, which improves the surface finish of the component along with surface properties of the component. It is a cost effective process, mostly used in aerospace, biomedical, and automobile industries to improve reliability and performance of the component. In burnishing process, response parameters depends on burnishing process parameters, tool, and material on which burnishing is done. The key driving forces for newer production technologies and material development are strength to weight ratio of materials, performance and reliability improvement. The availability of appropriate manufacturing methods plays a vital role with respect to both material properties, cost. Authors tried to review the research papers of last four decades and progress of burnishing process is discussed.
Study of Membrane Transport for Protein Filtration Using Artificial Neural Ne...
ABSTRACT: Artificial Neural Networks (ANNs) are nonlinear mapping structures which functions same as human brain. Modeling can be made stronger especially while the underlying data relationship is not known. ANNs may recognize and learn inter-related patterns between input data sets and related target values. After training, ANNs may be utilized to judge the output of new independent input data. Thus ANNs are used best for the modeling of membrane processes, like ultra filtration and microfiltration. This allows us to judge the permeate flux and membrane rejection as functions of process variables. The aim is modeling of membrane transport for protein filtration is to analyze membrane systems by means of ANNs. To analyze this different ANNs are developed with the help of Mat lab. [1a][9]
Effect on Geotechnical Properties of Pond Ash with Variation of Compactive En...
ABSTRACT: With the increase in the number of coal based thermal power plants in India, generation of coal ash has reached enormous proportions. India at present produces around 120 Million tonnes of Ash per annum. The power requirements of the country are rapidly increasing with increase in growth of the industrial sectors. India depends on Thermal power as its main source (around 80% of power produced is thermal power), as a result the quantity of Ash produced shall also increase. Indian coal on an average has 35 % Ash and this is one of the prime factors which shall lead to increased ash production and hence, Ash utilization problems for the country. Out of the total ash produced. Fly ash contributes to a small percentage, majority being Pond ash and bottom ash. Ash disposal involves design and installation of ash ponds, which in addition to covering quite large area at each plant site, creates aesthetic as well as hygienic environmental impacts. This has warranted the scientific and industrial community to initiate research and development work for finding avenues for the innovative use and safe disposal of the pond ash so that instead of a waste product, the pond ash could be considered as a usable by-product. Though a lot of research has been carried out for the effective utilization of pond ash like its use in construction industry etc, little literature is available on pond ash utilization particularly its use as a foundation material. One way of disposing off pond ash would be its use as a structural fill material and use as embankment material in highways. The present work aims at evaluating the response of pond ash to various compactive efforts. The compactive efforts have been varied as 595 kg/m3 to 2674 kg/m3 of sample and effect of compaction energy on maximum dry density and optimum moisture content have been evaluated by conducting proctor compaction tests, the shear strength parameters of pond ash samples compacted to different dry densities and moisture contents.
Estimation of Ensembles in an Adventitious Wave by EMD and EEMD Techniques
Abstract:- The Empirical Mode Decomposition (EMD) is a basic building block of Hilbert-Huang Transformation. The main principle behind EMD is to decompose a sound wave into its intrinsic mode function (IMF). The time domain analysis is fairly described with EMD breaking down. The basis is derived from the same sound wave only. The analysis is useful for affected respiratory sound waves, which are non-linear and non-stationary in nature. Huang and Wu established another milestone in the area of EMD called Ensemble Empirical Mode Decomposition (EEMD). The EEMD is now can be used to interpolate a sound wave from the affected waveform. The EEMD specify a certain TRUE IMF components as an ensemble mean, every component consists of a sound wave in addition to Gaussian Noise of certain amplitude. In this paper, the mean and standard deviation at a different instance of the affected wheezing respiratory wave is discussed. The comparison between crackle wave and the wheezing wave is listed with respect to mean and standard deviation. The results specified in the table shows that the EEMD is an efficient technique for minimizing noise affected with abnormal lung waves.
Building Energy Efficiency Into Energy Equation
The document discusses building energy efficiency into the energy production process. It notes that most energy is lost during conversion from raw materials to final energy use. Improving efficiency at all stages of energy production from generation to transmission to end use can significantly reduce energy losses and environmental impacts. Specific strategies discussed include improving generator efficiency, reducing transmission and distribution losses through higher voltage lines and equipment upgrades, and increasing industrial motor and building efficiency through technologies like variable speed drives. The benefits of improved efficiency are lower energy costs, reduced carbon emissions, and increased sustainability and energy security.
A Novel Approach for Detecting the IRIS Crypts
ABSTRACT:- The iris is a stable biometric trait that has been widely used for human recognition in various applications. However, deployment of iris recognition in forensic applications has not been reported. A primary reason is the lack of human friendly techniques for iris comparison. To further promote the use of iris recognition in forensics, the similarity between irises should be made visualizable and interpretable. Recently, a human-in-the-loop iris recognition system was developed, based on detecting and matching iris crypts. Building on this framework, we propose a new approach for detecting and matching iris crypts automatically. Our detection method is able to capture iris crypts of various sizes. Our matching scheme is designed to handle potential topological changes in the detection of the same crypt in different images. Our approach outperforms the known visible-feature-based iris recognition method on three different data sets. After iris Crypts detection, Iris images were taken before and after the treatment of eye disease and the output shows the mathematical difference obtained from treatment. Gabor filter is used to extract the features. This iris recognition was effectively withstood with most ophthalmic disease like corneal oedema, iridotomies and conjunctivitis. This proposed iris recognition should be used to solve the potential problems that could cause in key biometric technology and medical diagnosis
Comparative Study of Various Filtering Techniques to Reduce Harmonics in HVDC...
Abstract: The Geomagnetically induced current adversely effects the power system. Main impact of geomagnetically induced current is on power transformer and also HVDC converter transformer. Because of the interaction of the solar storm on earth, there is a occurrence of DC bias current. Many harmful effects are observed in the HVDC converter transformer. The invasion of geomagnetically induced current into the converter transformer is through neutral wire which will result into the saturation of converter transformer core saturation. This leads to the production of harmonics in the power system. Because of the harmonics, many other adverse effects are seen to be occurring which includes heating of transformer core, windings may burn, etc. This paper presents the techniques to inhibit the invasion of Geomagnetically induced current into the converter transformer neutral. Furthermore, it gives a comparative study of the various techniques by examining it in MATLAB/SIMULINK.
More from IJERDJOURNAL (20)
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
Analysis of failure behavior of shear connection in push-out specimen by thre...
Analysis of failure behavior of shear connection in push-out specimen by thre...
Discrete Time Batch Arrival Queue with Multiple Vacations
Discrete Time Batch Arrival Queue with Multiple Vacations
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
Implementing Oracle Utility-Meter Data Management For Power Consumption
Implementing Oracle Utility-Meter Data Management For Power Consumption
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
Design of Synthesizable Asynchronous FIFO And Implementation on FPGA
Design of Synthesizable Asynchronous FIFO And Implementation on FPGA
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
Power Quality Disturbaces Clasification And Automatic Detection Using Wavelet...
Power Quality Disturbaces Clasification And Automatic Detection Using Wavelet...
The Role of Burnishing Process in Manufacturing Industry -A State-of-the-Art ...
The Role of Burnishing Process in Manufacturing Industry -A State-of-the-Art ...
Study of Membrane Transport for Protein Filtration Using Artificial Neural Ne...
Study of Membrane Transport for Protein Filtration Using Artificial Neural Ne...
Effect on Geotechnical Properties of Pond Ash with Variation of Compactive En...
Effect on Geotechnical Properties of Pond Ash with Variation of Compactive En...
Estimation of Ensembles in an Adventitious Wave by EMD and EEMD Techniques
Estimation of Ensembles in an Adventitious Wave by EMD and EEMD Techniques
Comparative Study of Various Filtering Techniques to Reduce Harmonics in HVDC...
Comparative Study of Various Filtering Techniques to Reduce Harmonics in HVDC...
Recently uploaded
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
bank management system in java and mysql report1.pdf
truth is high but higher still is truth full living
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Technical Drawings introduction to drawing of prisms
Method of technical Drawing of prisms,and cylinders.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Low power architecture of logic gates using adiabatic techniques
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
Recycled Concrete Aggregate in Construction Part III
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Recently uploaded (20)
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)
bank management system in java and mysql report1.pdf
bank management system in java and mysql report1.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
Technical Drawings introduction to drawing of prisms
Technical Drawings introduction to drawing of prisms
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
Low power architecture of logic gates using adiabatic techniques
Low power architecture of logic gates using adiabatic techniques
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
Recycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part III
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines