This document discusses using an artificial neural network to predict the lowest temperature achieved by a two-stage pulse tube cryocooler. A neural network was trained using experimental data on diameter, length, frequency, and orifice diameters as inputs, and temperature as the target output. After training, the network was validated and shown to predict temperatures within tolerance limits. The goal was to develop an alternative method for predicting cryocooler temperature without costly experimental testing.
Comprehensive Development and Comparison of two Feed Forward Back Propagation...IJERA Editor
The development of an intelligent system for the establishment of relationship between input parameters and the
responses utilizing both reverse and forward modeling of artificial neural networks is the main objective of the
present research work. Prediction of quality characteristics such as front width, back width, front height and
back height of the weld bead geometry in Tungsten Inert Gas welding process of AA5083; H111 Aluminum
alloy is the aim in forward modeling from known set of process parameters such as current, %balance, welding
speed, arc gap, gas flow rate, and frequency. Reverse modeling meets the industrial requirements of automatic
welding to predict the recommended weld bead geometry characteristics. Comprehensive approach for the
development of two back propagation networks viz. feed forward back propagation (FFBP) and Elman back
propagation (EBP) neural networks is adopted. 212 Face centered central composite design based experimental
data is utilized for the development of both supervised learning networks with batch mode training approach. A
comparison of performance of FFBPP and EBP neural networks are made with that of stepwise multiple
regression statistical modeling. Analysis of results showed that both neural network modeling outperformed the
statistical approach in making better predictions and the models are efficient in selection of parameters
effectively for the desired responses. FFBP performance found to marginally better than that of EBP neural
network. Also the forward modeling performance was better than that of reverse modeling in both neural
networks.
An Area Efficient and High Speed Reversible Multiplier Using NS GateIJERA Editor
In digital computer system a major problem has been found that the Power dissipation which leads to bring some research on the methods to decrease this Area efficient, high speed. This is the main cause to give birth to reversible computing systems for digital computers and designs. Reversible computing is the path to future computing technologies, which all happen to use reversible logic. In addition, reversible computing will become mandatory because of the necessity to decrease power consumption. Reversible logic circuits have the same number of inputs and outputs, and have one-to-one mapping between vectors of inputs and outputs; thus the vector of input states can be always reconstructed from the vector of output states. Consequently, a computation is reversible, if it is always possible to uniquely recover the input, given the output. Each gate can be made reversible by adding some additional input and output wires if necessary. The main aim of this reversible computing is to lower the power dissipation, area efficient and high speed and some other advantages like security of data and prevention of errors etc... Reversible logic has so many applications low power CMOS, nanotechnology, DNA computing and quantum computing. There are two primary design implementations in this study which are the major spotlights. The first one is reversible design gate and the second one is multiplier design using reversible gates. In this manuscript we have implemented a 8 * 8 reversible design called “NSG(Non linear Sign Flip)”. The total project is implemented in Xilinx 14.7 ISE with Spartan 3E family.
Modelling of ntc thermistor using artificial neural network for non linearity...ieijjournal
This paper investigates modelling of NTC thermistors using Steinhart-Hart equation for generic model
generation and then parsing the same through the linearization algorithm based on Levenberg–Marquart
back propagation technique with sigmoid activation function. The entire modelling and scripting of the
linearization algorithm has been accomplished in the MATLAB paradigm. The results showcase small
linearity error optimal in the chebyshev norms. The reported technique has a potential for linearization of
other impedance based non-linear sensors as well. Further work is in progress to integrate the algorithm
as a soft IP core in a full custom or semi-custom ASIC wherein thermistors are employed as sensors.
Voltage stability Analysis using GridCalAnmol Dwivedi
Power system voltage stability is characterized as being capable of maintaining load voltage magnitudes within specified operating limits under steady state conditions. This presentation deals with the modeling of two standard power systems test cases i.e the Nordic-32 and the Nordic-68, comparing the power flows results obtained from GridCal against PSS/E, finding the respective P-V curves for the two test cases using the continuation power flow under contingencies, and finally proposing a graph-based test statistic which can be used for an imminent voltage instability. The simulations are carried out using an open-source power system software called GridCal and the scripts for this project are written in python.
Modeling Uncertainty For Middleware-based Streaming Power Grid ApplicationsJenny Liu
The power grid is incorporating high throughput sensor devices into power distribution networks. The future power
grid needs to guarantee accuracy and responsiveness of applications that consume data from multiple sensor streams.
The end-to-end performance and overall scalability of cyber-physical energy applications depend on the middleware's ability to handle multi-source sensor data, which exhibits uncertain behavior under highly variable numbers of sensors and middleware topologies. In this paper, we present a parametric approach to model middleware uncertainty and to analyze its eect on distributed power applications. The models encapsulate the entire data
ow paths from sensor devices, through network and middleware components to the power application nodes that utilize sensor data streams. Using the Ptolemy II framework for modeling and simulation, we generate Monte Carlo samples of uncertain parameters that are used to generate parameterized middleware models that are used in end-to-end Discrete-Event(DE) system simulation simulation. The simulation results are further analyzed using regression methods to reveal the parameters that are influential in the limiting middleware behaviour to achieve temporal requirements of the power applications.
Comprehensive Development and Comparison of two Feed Forward Back Propagation...IJERA Editor
The development of an intelligent system for the establishment of relationship between input parameters and the
responses utilizing both reverse and forward modeling of artificial neural networks is the main objective of the
present research work. Prediction of quality characteristics such as front width, back width, front height and
back height of the weld bead geometry in Tungsten Inert Gas welding process of AA5083; H111 Aluminum
alloy is the aim in forward modeling from known set of process parameters such as current, %balance, welding
speed, arc gap, gas flow rate, and frequency. Reverse modeling meets the industrial requirements of automatic
welding to predict the recommended weld bead geometry characteristics. Comprehensive approach for the
development of two back propagation networks viz. feed forward back propagation (FFBP) and Elman back
propagation (EBP) neural networks is adopted. 212 Face centered central composite design based experimental
data is utilized for the development of both supervised learning networks with batch mode training approach. A
comparison of performance of FFBPP and EBP neural networks are made with that of stepwise multiple
regression statistical modeling. Analysis of results showed that both neural network modeling outperformed the
statistical approach in making better predictions and the models are efficient in selection of parameters
effectively for the desired responses. FFBP performance found to marginally better than that of EBP neural
network. Also the forward modeling performance was better than that of reverse modeling in both neural
networks.
An Area Efficient and High Speed Reversible Multiplier Using NS GateIJERA Editor
In digital computer system a major problem has been found that the Power dissipation which leads to bring some research on the methods to decrease this Area efficient, high speed. This is the main cause to give birth to reversible computing systems for digital computers and designs. Reversible computing is the path to future computing technologies, which all happen to use reversible logic. In addition, reversible computing will become mandatory because of the necessity to decrease power consumption. Reversible logic circuits have the same number of inputs and outputs, and have one-to-one mapping between vectors of inputs and outputs; thus the vector of input states can be always reconstructed from the vector of output states. Consequently, a computation is reversible, if it is always possible to uniquely recover the input, given the output. Each gate can be made reversible by adding some additional input and output wires if necessary. The main aim of this reversible computing is to lower the power dissipation, area efficient and high speed and some other advantages like security of data and prevention of errors etc... Reversible logic has so many applications low power CMOS, nanotechnology, DNA computing and quantum computing. There are two primary design implementations in this study which are the major spotlights. The first one is reversible design gate and the second one is multiplier design using reversible gates. In this manuscript we have implemented a 8 * 8 reversible design called “NSG(Non linear Sign Flip)”. The total project is implemented in Xilinx 14.7 ISE with Spartan 3E family.
Modelling of ntc thermistor using artificial neural network for non linearity...ieijjournal
This paper investigates modelling of NTC thermistors using Steinhart-Hart equation for generic model
generation and then parsing the same through the linearization algorithm based on Levenberg–Marquart
back propagation technique with sigmoid activation function. The entire modelling and scripting of the
linearization algorithm has been accomplished in the MATLAB paradigm. The results showcase small
linearity error optimal in the chebyshev norms. The reported technique has a potential for linearization of
other impedance based non-linear sensors as well. Further work is in progress to integrate the algorithm
as a soft IP core in a full custom or semi-custom ASIC wherein thermistors are employed as sensors.
Voltage stability Analysis using GridCalAnmol Dwivedi
Power system voltage stability is characterized as being capable of maintaining load voltage magnitudes within specified operating limits under steady state conditions. This presentation deals with the modeling of two standard power systems test cases i.e the Nordic-32 and the Nordic-68, comparing the power flows results obtained from GridCal against PSS/E, finding the respective P-V curves for the two test cases using the continuation power flow under contingencies, and finally proposing a graph-based test statistic which can be used for an imminent voltage instability. The simulations are carried out using an open-source power system software called GridCal and the scripts for this project are written in python.
Modeling Uncertainty For Middleware-based Streaming Power Grid ApplicationsJenny Liu
The power grid is incorporating high throughput sensor devices into power distribution networks. The future power
grid needs to guarantee accuracy and responsiveness of applications that consume data from multiple sensor streams.
The end-to-end performance and overall scalability of cyber-physical energy applications depend on the middleware's ability to handle multi-source sensor data, which exhibits uncertain behavior under highly variable numbers of sensors and middleware topologies. In this paper, we present a parametric approach to model middleware uncertainty and to analyze its eect on distributed power applications. The models encapsulate the entire data
ow paths from sensor devices, through network and middleware components to the power application nodes that utilize sensor data streams. Using the Ptolemy II framework for modeling and simulation, we generate Monte Carlo samples of uncertain parameters that are used to generate parameterized middleware models that are used in end-to-end Discrete-Event(DE) system simulation simulation. The simulation results are further analyzed using regression methods to reveal the parameters that are influential in the limiting middleware behaviour to achieve temporal requirements of the power applications.
AN IMPROVED ROUTING PROTOCOL SCHEME IN ADHOC NETWORKSIAEME Publication
Nowadays, with the rapid development of science and technology and the ever-increasing demand in every field, wireless sensor networks are emerging as a necessary scientific achievement to meet the demand of human in modern society. The wireless sensor network (WSN) is designed to help us not lose too much energy, workforce, avoid danger and they bring high efficiency to work. Various routing protocols are being used to increase the energy efficiency of the network, with two distinct types of protocols, homogenous and heterogeneous. In these two protocols, the SEP (Stable Election Protocol) is one of the most effective heterogeneous protocols which increase the stability of the network. In this paper, we propose an approaching the εFCM algorithm in clustering the SEP protocol which makes the WSN network more energy efficient. The simulation results showed that the SEP-εFCM proposed protocol performed better than the conventional SEP protocol
This is slide set of my Octopus-ReEL (Realtime Encephalography Lab) presentation in GDG-Izmir event held on Nov 3rd 2018 at Ege University Computer Engineering Dept.
Robustness and Stability Analysis of a Predictive PI Controller in WirelessHA...IJECEIAES
As control over wireless network in the industry is receives increasing attention, its appli- cation comes with challenges such as stochastic network delay. The PIDs are ill equipped to handle such challenges while the model based controllers are complex. A settlement between the two is the PPI controller. However, there is no certainty on its ability to preserve closed loop stability under such challenges. While classical robustness measures do not require extensive uncertainty modelling, they do not guarantee stability under simultaneous process and network delay variations. On the other hand, the model uncertainty measures tend to be conservative. Thus, this work uses extended complementary sensitivity function method which handles simultaneously those challenges. Simulation results shows that the PPI controller can guarantee stability even under model and delay uncertainties.
The objective of this paper is to study the dynamic response of the wind energy conversion system (WECS) based on the Doubly Fed Induction Generator (DFIG). The DFIG rotor is connected to the grid via a converter. The active and reactive power control is realized by the DFIG rotor variables control, using the field oriented control (FOC). The vector control of DFIG is applied by the use of tow regulators PI and the neural network regulator (NN). The generator mathematical model is implemented in Matlab/ Simulink software to simulate a DFIG of 1.5 MW in order to show the efficiency of the performances and robustness of the studied control systems. The simulation obtained results shows that the robustness and response time of the neural network regulator is better than those obtained by the PI classical regulator.
Efficient Design of Reversible Multiplexers with Low Quantum CostIJERA Editor
Multiplexing is the generic term used to designate the operation of sending one or more analogue or digital
signals over a common transmission line at dissimilar times or speeds and as such, the scheme we use to do just
that is called a Multiplexer. In digital electronics, multiplexers are similarly known as data selectors as they can
“select” each input line, are made from individual Analogue Switches encased in a single IC package as
conflicting to the “mechanical” type selectors such as standard conservative switches and relays. In today era,
reversibility has become essential part of digital world to make digital circuits more efficient. In this paper, we
have proposed a new method to reduce quantum cost and power for various multiplexers. The results are
simulated in Xilinx by using VHDL language.
This paper proposes a Wavelet based Adaptive Neuro-Fuzzy Inference System (WANFIS) applied to forecast the wind power and enhance the accuracy of one step ahead with a 10 minutes resolution of real time data collected from a wind farm in North India. The proposed method consists two cases. In the first case all the inputs of wind series and output of wind power decomposition coefficients are carried out to predict the wind power. In the second case all the inputs of wind series decomposition coefficients are carried out to get wind power prediction. The performance of proposed WANFIS is compared to Wavelet Neural Network (WNN) and the results of the proposed model are shown superior to compared methods.
High functionality reversible arithmetic logic unitIJECEIAES
Energy loss is a big challenge in digital logic design primarily due to impending end of Moore‟s Law. Increase in power dissipation not only affects portability but also overall life span of a device. Many applications cannot afford this loss. Therefore, future computing will rely on reversible logic for implementation of power efficient and compact circuits. Arithmetic and logic unit (ALU) is a fundamental component of all processors and designing it with reversible logic is tedious. The various ALU designs using reversible logic gates exist in literature but operations performed by them are limited. The main aim of this paper is to propose a new design of reversible ALU and enhance number of operations in it. This paper critically analyzes proposed ALU with existing designs and demonstrates increase in functionality with 56% reduction in gates, 17% reduction in garbage lines, 92% reduction in ancillary lines and 53% reduction in quantum cost. The proposed ALU design is coded in Verilog HDL, synthesized and simulated using EDA (Electronic Design Automation) tool-Xilinx ISE design suit 14.2. RCViewer+ tool has been used to validate quantum cost of proposed design.
A Novel Technique to Enhance the Lifetime of Wireless Sensor Networks through...IJECEIAES
In the most of the real world scenarios, wireless sensor networks are used. Some of the major tasks of these types of networks is to sense some information and sending it to monitoring system or tracking some activity etc. In such applications, the sensor nodes are deployed in large area and in considerably large numbers [1]-[3]. Each of these node will be having constrained resources whether it might be energy, memory or processing capability. Energy is the major resource constraint in these types of networks. Hence enough care to be taken in all aspects such that energy can be used very efficiently. Different Activities which will be taking place in a sensor node are sensing, radio operations and receiving and computing. Among all these operations, radio consumes maximum power. Hence there is a need of reducing the power consumption in such radio operations. In the proposed work a software module is developed which will reduce the number of transmissions done to the base station. The work compares the consecutively sensed data and if these data are same then the old data then the old data will be retained. In other case the newly sensed data will be sent to the sink node. This technique reduces the number of data transmissions in a significant way. With the reduced number of transmissions, the energy saved in each node will be more, which will increase the lifetime of the entire network.
Miniaturization, cost, functionality, complexity and power dissipation are important and necessary design traits which need attention in circuit designing. There is a trade off between miniaturization and power dissipation. Smart technology is always searching for new paradigms to continue improve power dissipation. Reversible logic is one of smart computing deployed to avoid power dissipation. Researchers have proposed many reversible logic-based arithmetic and logic units (ALU). However, the research in the area of fault tolerant ALU is still under progress. The aim of this paper is to bridge the knowledge gap for a new researcher in area of fault tolerance using parity preserving logic gates rather than searching huge data through various sources. This paper also presents a high functionality based novel fault tolerant arithmetic and logic unit architecture. A comparison on optimization aspects is presented in tabular form and results shows that proposed ALU architecture is optimum balance in terms of all aspects of reversible logic synthesis. The proposed ALU architecture is coded in Verilog HDL and simulated using Xilinx ISE design suit 14.2 tool. The quantum cost of all gates used in proposed architecture is verified using RCViewer + tool.
Combination of Immune Genetic Particle Swarm Optimization algorithm with BP a...paperpublications3
Abstract:In this paper, merging Immune Genetic Particle Swarm Optimization algorithm (IGPSO) with BP algorithm to optimize BP Neural Network parameter i.e., BPIGPSO amalgamation to solve optimal reactive power dispatch algorithm. The basic perception is that first training BP neural network with IGPSO to find out a comparatively optimal solution, then take the network parameter at this time as the preliminary parameter of BP algorithm to carry out the training, finally searching the optimal solution. The proposed BPIGPSO has been tested on standard IEEE 57 bus test system and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss.
Keywords:BP neural network, Immune Genetic Particle Swarm Optimization algorithm, Optimal Reactive Power, Transmission loss.
AN IMPROVED ROUTING PROTOCOL SCHEME IN ADHOC NETWORKSIAEME Publication
Nowadays, with the rapid development of science and technology and the ever-increasing demand in every field, wireless sensor networks are emerging as a necessary scientific achievement to meet the demand of human in modern society. The wireless sensor network (WSN) is designed to help us not lose too much energy, workforce, avoid danger and they bring high efficiency to work. Various routing protocols are being used to increase the energy efficiency of the network, with two distinct types of protocols, homogenous and heterogeneous. In these two protocols, the SEP (Stable Election Protocol) is one of the most effective heterogeneous protocols which increase the stability of the network. In this paper, we propose an approaching the εFCM algorithm in clustering the SEP protocol which makes the WSN network more energy efficient. The simulation results showed that the SEP-εFCM proposed protocol performed better than the conventional SEP protocol
This is slide set of my Octopus-ReEL (Realtime Encephalography Lab) presentation in GDG-Izmir event held on Nov 3rd 2018 at Ege University Computer Engineering Dept.
Robustness and Stability Analysis of a Predictive PI Controller in WirelessHA...IJECEIAES
As control over wireless network in the industry is receives increasing attention, its appli- cation comes with challenges such as stochastic network delay. The PIDs are ill equipped to handle such challenges while the model based controllers are complex. A settlement between the two is the PPI controller. However, there is no certainty on its ability to preserve closed loop stability under such challenges. While classical robustness measures do not require extensive uncertainty modelling, they do not guarantee stability under simultaneous process and network delay variations. On the other hand, the model uncertainty measures tend to be conservative. Thus, this work uses extended complementary sensitivity function method which handles simultaneously those challenges. Simulation results shows that the PPI controller can guarantee stability even under model and delay uncertainties.
The objective of this paper is to study the dynamic response of the wind energy conversion system (WECS) based on the Doubly Fed Induction Generator (DFIG). The DFIG rotor is connected to the grid via a converter. The active and reactive power control is realized by the DFIG rotor variables control, using the field oriented control (FOC). The vector control of DFIG is applied by the use of tow regulators PI and the neural network regulator (NN). The generator mathematical model is implemented in Matlab/ Simulink software to simulate a DFIG of 1.5 MW in order to show the efficiency of the performances and robustness of the studied control systems. The simulation obtained results shows that the robustness and response time of the neural network regulator is better than those obtained by the PI classical regulator.
Efficient Design of Reversible Multiplexers with Low Quantum CostIJERA Editor
Multiplexing is the generic term used to designate the operation of sending one or more analogue or digital
signals over a common transmission line at dissimilar times or speeds and as such, the scheme we use to do just
that is called a Multiplexer. In digital electronics, multiplexers are similarly known as data selectors as they can
“select” each input line, are made from individual Analogue Switches encased in a single IC package as
conflicting to the “mechanical” type selectors such as standard conservative switches and relays. In today era,
reversibility has become essential part of digital world to make digital circuits more efficient. In this paper, we
have proposed a new method to reduce quantum cost and power for various multiplexers. The results are
simulated in Xilinx by using VHDL language.
This paper proposes a Wavelet based Adaptive Neuro-Fuzzy Inference System (WANFIS) applied to forecast the wind power and enhance the accuracy of one step ahead with a 10 minutes resolution of real time data collected from a wind farm in North India. The proposed method consists two cases. In the first case all the inputs of wind series and output of wind power decomposition coefficients are carried out to predict the wind power. In the second case all the inputs of wind series decomposition coefficients are carried out to get wind power prediction. The performance of proposed WANFIS is compared to Wavelet Neural Network (WNN) and the results of the proposed model are shown superior to compared methods.
High functionality reversible arithmetic logic unitIJECEIAES
Energy loss is a big challenge in digital logic design primarily due to impending end of Moore‟s Law. Increase in power dissipation not only affects portability but also overall life span of a device. Many applications cannot afford this loss. Therefore, future computing will rely on reversible logic for implementation of power efficient and compact circuits. Arithmetic and logic unit (ALU) is a fundamental component of all processors and designing it with reversible logic is tedious. The various ALU designs using reversible logic gates exist in literature but operations performed by them are limited. The main aim of this paper is to propose a new design of reversible ALU and enhance number of operations in it. This paper critically analyzes proposed ALU with existing designs and demonstrates increase in functionality with 56% reduction in gates, 17% reduction in garbage lines, 92% reduction in ancillary lines and 53% reduction in quantum cost. The proposed ALU design is coded in Verilog HDL, synthesized and simulated using EDA (Electronic Design Automation) tool-Xilinx ISE design suit 14.2. RCViewer+ tool has been used to validate quantum cost of proposed design.
A Novel Technique to Enhance the Lifetime of Wireless Sensor Networks through...IJECEIAES
In the most of the real world scenarios, wireless sensor networks are used. Some of the major tasks of these types of networks is to sense some information and sending it to monitoring system or tracking some activity etc. In such applications, the sensor nodes are deployed in large area and in considerably large numbers [1]-[3]. Each of these node will be having constrained resources whether it might be energy, memory or processing capability. Energy is the major resource constraint in these types of networks. Hence enough care to be taken in all aspects such that energy can be used very efficiently. Different Activities which will be taking place in a sensor node are sensing, radio operations and receiving and computing. Among all these operations, radio consumes maximum power. Hence there is a need of reducing the power consumption in such radio operations. In the proposed work a software module is developed which will reduce the number of transmissions done to the base station. The work compares the consecutively sensed data and if these data are same then the old data then the old data will be retained. In other case the newly sensed data will be sent to the sink node. This technique reduces the number of data transmissions in a significant way. With the reduced number of transmissions, the energy saved in each node will be more, which will increase the lifetime of the entire network.
Miniaturization, cost, functionality, complexity and power dissipation are important and necessary design traits which need attention in circuit designing. There is a trade off between miniaturization and power dissipation. Smart technology is always searching for new paradigms to continue improve power dissipation. Reversible logic is one of smart computing deployed to avoid power dissipation. Researchers have proposed many reversible logic-based arithmetic and logic units (ALU). However, the research in the area of fault tolerant ALU is still under progress. The aim of this paper is to bridge the knowledge gap for a new researcher in area of fault tolerance using parity preserving logic gates rather than searching huge data through various sources. This paper also presents a high functionality based novel fault tolerant arithmetic and logic unit architecture. A comparison on optimization aspects is presented in tabular form and results shows that proposed ALU architecture is optimum balance in terms of all aspects of reversible logic synthesis. The proposed ALU architecture is coded in Verilog HDL and simulated using Xilinx ISE design suit 14.2 tool. The quantum cost of all gates used in proposed architecture is verified using RCViewer + tool.
Combination of Immune Genetic Particle Swarm Optimization algorithm with BP a...paperpublications3
Abstract:In this paper, merging Immune Genetic Particle Swarm Optimization algorithm (IGPSO) with BP algorithm to optimize BP Neural Network parameter i.e., BPIGPSO amalgamation to solve optimal reactive power dispatch algorithm. The basic perception is that first training BP neural network with IGPSO to find out a comparatively optimal solution, then take the network parameter at this time as the preliminary parameter of BP algorithm to carry out the training, finally searching the optimal solution. The proposed BPIGPSO has been tested on standard IEEE 57 bus test system and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss.
Keywords:BP neural network, Immune Genetic Particle Swarm Optimization algorithm, Optimal Reactive Power, Transmission loss.
AN IMPROVED ROUTING PROTOCOL SCHEME IN ADHOC NETWORKSIAEME Publication
Nowadays, with the rapid development of science and technology and the ever-increasing demand in every field, wireless sensor networks are emerging as a necessary scientific achievement to meet the demand of human in modern society. The wireless sensor network (WSN) is designed to help us not lose too much energy, workforce, avoid danger and they bring high efficiency to work. Various routing protocols are being used to increase the energy efficiency of the network, with two distinct types of protocols, homogenous and heterogeneous. In these two protocols, the SEP (Stable Election Protocol) is one of the most effective heterogeneous protocols which increase the stability of the network. In this paper, we propose an approaching the εFCM algorithm in clustering the SEP protocol which makes the WSN network more energy efficient. The simulation results showed that the SEP-εFCM proposed protocol performed better than the conventional SEP protocol
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
POWER GATING STRUCTURE FOR REVERSIBLE PROGRAMMABLE LOGIC ARRAYecij
Throughout the world, the numbers of researchers or hardware designer struggle for the reducing of
power dissipation in low power VLSI systems. This paper presented an idea of using the power gating
structure for reducing the sub threshold leakage in the reversible system. This concept presented in the
paper is entirely new and presented in the literature of reversible logics. By using the reversible logics for
the digital systems, the energy can be saved up to the gate level implementation. But at the physical level
designing of the reversible logics by the modern CMOS technology the heat or energy is dissipated due the
sub-threshold leakage at the time of inactivity or standby mode. The Reversible Programming logic array
(RPLA) is one of the important parts of the low power industrial applications and in this paper the physical
design of the RPLA is presented by using the sleep transistor and the results is shown with the help of
TINA- PRO software. The results for the proposed design is also compare with the CMOS design and
shown that of 40.8% of energy saving. The Transient response is also produces in the paper for the
switching activity and showing that the proposed design is much better that the modern CMOS design of
the RPLA.
POWER GATING STRUCTURE FOR REVERSIBLE PROGRAMMABLE LOGIC ARRAYecij
Throughout the world, the numbers of researchers or hardware designer struggle for the reducing of power dissipation in low power VLSI systems. This paper presented an idea of using the power gating structure for reducing the sub threshold leakage in the reversible system. This concept presented in the paper is entirely new and presented in the literature of reversible logics. By using the reversible logics for the digital systems, the energy can be saved up to the gate level implementation. But at the physical level designing of the reversible logics by the modern CMOS technology the heat or energy is dissipated due the
sub-threshold leakage at the time of inactivity or standby mode. The Reversible Programming logic array (RPLA) is one of the important parts of the low power industrial applications and in this paper the physical design of the RPLA is presented by using the sleep transistor and the results is shown with the help of TINA- PRO software. The results for the proposed design is also compare with the CMOS design and shown that of 40.8% of energy saving. The Transient response is also produces in the paper for the switching activity and showing that the proposed design is much better that the modern CMOS design of the RPLA.
THERMAL ANALYSIS OF AIR FLOW IN A CPU CABINET WITH MOTHERBOARD AND HARD DISK ...IAEME Publication
The present work investigates the numerical simulation of thermal analysis of mixed convection air flow in a CPU Cabinet. The simulation is focused on the non-uniformly heated mother board temperature distribution. In the
present work three cases have been studied, 1) Placing the CPU in vertical position, 2) Placing the CPU in horizontal
position and 3) Providing exhaust fan on top. The work also includes studies of effectiveness of different inlets provided.
The temperature distribution of the components and streamlines were investigated in order to get a clear picture of which case is more effective for cooling of the mother board
An optimised multi value logic cell design with new architecture of many val...IJMER
Propose thesis work is a design of a Multi Logic Memory cell of four logic levels which can hold Logic 0, Logic 1, Logic 2 & Logic 3 and also propose an Interface module design between multi logic system with binary systems, thesis work can reduce the no. of wires required to parallel interface with normal memory and also can increase the speed of simple serial data transfer
Efficient Design of Ripple Carry Adder and Carry Skip Adder with Low Quantum ...IJERA Editor
The addition of two binary numbers is the important and most frequently used arithmetic process on
microprocessors, digital signal processors (DSP), and data-processing application-specific integrated circuits
(ASIC). Therefore, binary adders are critical structure blocks in very large-scale integrated (VLSI) circuits.
Their effective application is not trivial because a costly carry spread operation involving all operand bits has to
be achieved. Many different circuit constructions for binary addition have been planned over the last decades,
covering a wide range of presentation characteristics. In today era, reversibility has become essential part of
digital world to make digital circuits more efficient. In this paper, we have proposed a new method to reduce
quantum cost for ripple carry adder and carry skip adder. The results are simulated in Xilinx by using VHDL
language.
The fuel cell is currently considered as one of the most promising technologies for future energy
demand. Solid oxide fuel cells (SOFCs) have several advantages including flexibility of fuel used and relatively
inexpensive materials due to high temperature operation. SOFCs operate easily in the single-chamber mode
due to the simplified, compact, sealing-free cell structure. An artificial neural network (ANN) can be used as a
black-box tool to simulate systems without solving the physical equations merely by utilizing available
experimental data. In this study, the ANN is used for modelling a singular cell behavior. The error
backpropagation algorithm was used for an ANN training procedure. Experiments of a planar button solid
oxide fuel cell were used to train and verify the networks. The fuel cell system is fed by methane and oxygen. The
cathode is LSCF6482, the anode is GDC-Ni, the electrolyte is LDM and the operating pressure is 1 atm. The
ANN based SOFC model has the following input parameters: current density, temperature; and the cell voltage
is predicted by the model. Obtained results show that the ANN can be successfully used for modelling the single
chamber solid oxide fuel cell without knowledge of numerous physical, chemical, and electrochemical factors.
Combination of Immune Genetic Particle Swarm Optimization algorithm with BP a...paperpublications3
Abstract:In this paper, merging Immune Genetic Particle Swarm Optimization algorithm (IGPSO) with BP algorithm to optimize BP Neural Network parameter i.e., BPIGPSO amalgamation to solve optimal reactive power dispatch algorithm. The basic perception is that first training BP neural network with IGPSO to find out a comparatively optimal solution, then take the network parameter at this time as the preliminary parameter of BP algorithm to carry out the training, finally searching the optimal solution. The proposed BPIGPSO has been tested on standard IEEE 57 bus test system and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images