This document summarizes a research paper that proposes a new approach for two-level logic synthesis called constrained depth-first search. It generates all prime implicants of a Boolean function efficiently using cube absorption and a position cube notation representation. It then formulates the problem of finding an optimal sum-of-products cover as a combinatorial optimization problem. The key contribution is a constrained depth-first search of a virtual prime implicant decision tree that finds the minimum cover. Numerical results on benchmark functions show it produces results as good or better than state-of-the-art logic synthesis tools, often finding the greedy solution is already optimal or near-optimal.
Towards Practical Homomorphic Encryption with Efficient Public key GenerationIDES Editor
With the advent of cloud computing several security
and privacy challenges are put forth. To deal with many of
these privacy issues, ‘processing the encrypted data’ has been
identified as a potential solution, which requires a Fully
Homomorphic Encryption (FHE) scheme. After the
breakthrough work of Craig Gentry in devising an FHE,
several new homomorphic encryption schemes and variants
have been proposed. However, all those theoretically feasible
schemes are not viable for practical deployment due to their
high computational complexities. In this work, a variant of
the DGHV’s integer based Somewhat Homomorphic
Encryption (SHE) scheme with an efficient public key
generation method is presented. The complexities of various
algorithms involved in the scheme are significantly low. The
semantic security of the variant is based on the two-element
Partial Approximate Greatest Common Divisors (PAGCD)
problem. Experimental results prove that the proposed scheme
is very much efficient than any other integer based SHE
scheme existing today and hence practical.
Stegnography of high embedding efficiency by using an extended matrix encodin...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
In this paper we analyze the cryptanalysis of the simplified data encryption standard algorithm using metaheuristics
and in particular genetic algorithms. The classic fitness function when using such an algorithm
is to compare n-gram statistics of a the decrypted message with those of the target message. We show that
using such a function is irrelevant in case of Genetic Algorithm, simply because there is no correlation
between the distance to the real key (the optimum) and the value of the fitness, in other words, there is no
hidden gradient. In order to emphasize this assumption we experimentally show that a genetic algorithm
perform worse than a random search on the cryptanalysis of the simplified data encryption standard
algorithm.
Towards Practical Homomorphic Encryption with Efficient Public key GenerationIDES Editor
With the advent of cloud computing several security
and privacy challenges are put forth. To deal with many of
these privacy issues, ‘processing the encrypted data’ has been
identified as a potential solution, which requires a Fully
Homomorphic Encryption (FHE) scheme. After the
breakthrough work of Craig Gentry in devising an FHE,
several new homomorphic encryption schemes and variants
have been proposed. However, all those theoretically feasible
schemes are not viable for practical deployment due to their
high computational complexities. In this work, a variant of
the DGHV’s integer based Somewhat Homomorphic
Encryption (SHE) scheme with an efficient public key
generation method is presented. The complexities of various
algorithms involved in the scheme are significantly low. The
semantic security of the variant is based on the two-element
Partial Approximate Greatest Common Divisors (PAGCD)
problem. Experimental results prove that the proposed scheme
is very much efficient than any other integer based SHE
scheme existing today and hence practical.
Stegnography of high embedding efficiency by using an extended matrix encodin...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
In this paper we analyze the cryptanalysis of the simplified data encryption standard algorithm using metaheuristics
and in particular genetic algorithms. The classic fitness function when using such an algorithm
is to compare n-gram statistics of a the decrypted message with those of the target message. We show that
using such a function is irrelevant in case of Genetic Algorithm, simply because there is no correlation
between the distance to the real key (the optimum) and the value of the fitness, in other words, there is no
hidden gradient. In order to emphasize this assumption we experimentally show that a genetic algorithm
perform worse than a random search on the cryptanalysis of the simplified data encryption standard
algorithm.
An efficient hardware logarithm generator with modified quasi-symmetrical app...IJECEIAES
This paper presents a low-error, low-area FPGA-based hardware logarithm generator for digital signal processing systems which require high-speed, real time logarithm operations. The proposed logarithm generator employs the modified quasi-symmetrical approach for an efficient hardware implementation. The error analysis and implementation results are also presented and discussed. The achieved results show that the proposed approach can reduce the approximation error and hardware area compared with traditional methods.
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
An experimental evaluation of similarity-based and embedding-based link predi...IJDKP
The task of inferring missing links or predicting future ones in a graph based on its current structure
is referred to as link prediction. Link prediction methods that are based on pairwise node similarity
are well-established approaches in the literature and show good prediction performance in many realworld graphs though they are heuristic. On the other hand, graph embedding approaches learn lowdimensional representation of nodes in graph and are capable of capturing inherent graph features,
and thus support the subsequent link prediction task in graph. This paper studies a selection of
methods from both categories on several benchmark (homogeneous) graphs with different properties
from various domains. Beyond the intra and inter category comparison of the performances of the
methods, our aim is also to uncover interesting connections between Graph Neural Network(GNN)-
based methods and heuristic ones as a means to alleviate the black-box well-known limitation.
Efficient implementation of bit parallel finite field multiplierseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Efficient implementation of bit parallel finite eSAT Journals
Abstract Arithmetic in Finite/Galois field is a major aspect for many applications such as error correcting code and cryptography. Addition and multiplication are the two basic operations in the finite field GF (2m).The finite field multiplication is the most resource and time consuming operation. In this paper the complexity (space) analysis and efficient FPGA implementation of bit parallel Karatsuba Multiplier over GF (2m) is presented. This is especially interesting for high performance systems because of its carry free property. To reduce the complexity of Classical Multiplier, multiplier with less complexity over GF (2m) based on Karatsuba Multiplier is used. The LUT complexity is evaluated on FPGA by using Xilinx ISE 8.1i.Furthermore,the experimental results on FPGAs for bit parallel Karatsuba Multiplier and Classical Multiplier were shown and the comparison table is provided. To the best of our knowledge, the bit parallel karatsuba multiplier consumes least resources among the known FPGA implementation. Keywords: Classical Multiplier, Cryptograph, FPGA, Galois field, Karatsuba Multiplier
A fpga implementation of data hiding using lsb matching methodeSAT Journals
Abstract
Data Hiding is one of the familiar methodologies used nowadays to authenticate and resolve the copyrights of the digital data.
This paper discusses the verilog based FPGA implementation of data hiding in grayscale image using the concept of the LSB
Matching technique. In this verilog based data hiding process the secret digital signature is hidden in the host image then
analyzed with the PSNR value and Payload capacity.
Keywords: Data hiding, Least-Significant-bit matching method, Reversible, Gray Scale Image, Real Time
LSB Embedding, FPGA- Implementation etc
Application Of Extreme Value Theory To Bursts PredictionCSCJournals
Bursts and extreme events in quantities such as connection durations, file sizes, throughput, etc. may produce undesirable consequences in computer networks. Deterioration in the quality of service is a major consequence. Predicting these extreme events and burst is important. It helps in reserving the right resources for a better quality of service. We applied Extreme value theory (EVT) to predict bursts in network traffic. We took a deeper look into the application of EVT by using EVT based Exploratory Data Analysis. We found that traffic is naturally divided into two categories, Internal and external traffic. The internal traffic follows generalized extreme value (GEV) model with a negative shape parameter, which is also the same as Weibull distribution. The external traffic follows a GEV with positive shape parameter, which is Frechet distribution. These findings are of great value to the quality of service in data networks, especially when included in service level agreement as traffic descriptor parameters.
Improved ant colony optimization for quantum cost reductionjournalBEEI
Heuristic algorithms play a significant role in synthesize and optimization of digital circuits based on reversible logic yet suffer with multiple disadvantages for multiqubit functions like scalability, run time and memory space. Synthesis of reversible logic circuit ends up with trade off between number of gates, quantum cost, ancillary inputs and garbage outputs. Research on optimization of quantum cost seems intractable. Therefore post synthesis optimization needs to be done for reduction of quantum cost. Many researchers have proposed exact synthesis approaches in reversible logic but focussed on reduction of number of gates yet quantum cost remains undefined. The main goal of this paper is to propose improved ant colony optimization (ACO) algorithm for quantum cost reduction. The research efforts reported in this paper represent a significant contribution towards synthesis and optimization of high complexity reversible function via swarm intelligence based approach. The improved ACO algorithm provides low quantum cost based toffoli synthesis of reversible logic function without long computation overhead.
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.
Improving Neural Abstractive Text Summarization with Prior KnowledgeGaetano Rossiello, PhD
Abstractive text summarization is a complex task whose goal is to generate a concise version of a text without necessarily reusing the sentences from the original source, but still preserving the meaning and the key contents. In this position paper we address this issue by modeling the problem as a sequence to sequence learning and exploiting Recurrent Neural Networks (RNN). Moreover, we discuss the idea of combining RNNs and probabilistic models in a unified way in order to incorporate prior knowledge, such as linguistic features. We believe that this approach can obtain better performance than the state-of-the-art models for generating well-formed summaries.
The article presents Part of Speech Tagging for Nepali Text using three techniques of Artificial Neural networks. The novel algorithm for POS tagging is introduced .Features are extracted from the marginal probability of Hidden Markov Model. The extracted features are supplied to 3 different ANN architectures viz. Radial Basis Function (RBF) network, General Regression Neural Networks (GRNN) and Feed forward Neural network as an input vector for each word. Two different Annotated Tagged sets are constructed for training and testing purpose. Results are compared using all the 3 techniques and applied on both the sets. GRNN based POS tagging technique is found better as it produces 100% and 98.32% accuracies for both training and testing sets respectively.
In conventional transportation problem (TP), all the parameters are always certain. But, many of the real life situations in industry or organization, the parameters (supply, demand and cost) of the TP are not precise which are imprecise in nature in different factors like the market condition, variations in rates of diesel, traffic jams, weather in hilly areas, capacity of men and machine, long power cut, labourer’s over time work, unexpected failures in machine, seasonal changesandmanymore. Tocountertheseproblems,dependingonthenatureoftheparameters, theTPisclassifiedintotwocategoriesnamelytype-2andtype-4fuzzytransportationproblems (FTPs) under uncertain environment and formulates the problem and utilizes the trapezoidal fuzzy number (TrFN) to solve the TP. The existing ranking procedure of Liou and Wang (1992)isusedtotransformthetype-2andtype-4FTPsintoacrisponesothattheconventional method may be applied to solve the TP. Moreover, the solution procedure differs from TP to type-2 and type-4 FTPs in allocation step only. Therefore a simple and efficient method denoted by PSK (P. Senthil Kumar) method is proposed to obtain an optimal solution in terms of TrFNs. From this fuzzy solution, the decision maker (DM) can decide the level of acceptance for the transportation cost or profit. Thus, the major applications of fuzzy set theory are widely used in areas such as inventory control, communication network, aggregate planning, employment scheduling, and personnel assignment and so on.
PEC - AN ALTERNATE AND MORE EFFICIENT PUBLIC KEY CRYPTOSYSTEMijcisjournal
In an increasingly connected world, security is a top concern for Internet of Things (IoT). These IoT devices have to
be inexpensive implying that they will be constrained in storage and computing resources. In order to secure such
devices, highly efficient public key cryptosystems (PKC) are critical. Elliptic Curve Cryptography (ECC) is the most
commonly implemented PKC in use today. In this paper, an alternate and a more efficient PKC, called the PEC (Pells
Equation Cryptography) has been proposed based on Pells equation: x
2 − D ∗ y
2 ≡ 1 (mod p). It is shown that scalar
multiplication in PEC is significantly more efficient compared to ECC. It is also shown that the Discrete Logarithm
Problem - computing the private key from the public key - in PEC is at least as hard as that of ECC.
A Comparison between FPPSO and B&B Algorithm for Solving Integer Programming ...Editor IJCATR
Branch and Bound technique (B&B) is commonly used for intelligent search in finding a set of integer solutions within a space of interest. The corresponding binary tree structure provides a natural parallelism allowing concurrent evaluation of sub-problems using parallel computing technology. Flower pollination Algorithm is a recently-developed method in the field of computational intelligence. In this paper is presented an improved version of Flower pollination Meta-heuristic Algorithm, (FPPSO), for solving integer programming problems. The proposed algorithm combines the standard flower pollination algorithm (FP) with the particle swarm optimization (PSO) algorithm to improve the searching accuracy. Numerical results show that the FPPSO is able to obtain the optimal results in comparison to traditional methods (branch and bound) and other harmony search algorithms. However, the benefits of this proposed algorithm is in its ability to obtain the optimal solution within less computation, which save time in comparison with the branch and bound algorithm.Branch and bound, flower pollination Algorithm; meta-heuristics; optimization; the particle swarm optimization; integer programming.
An efficient hardware logarithm generator with modified quasi-symmetrical app...IJECEIAES
This paper presents a low-error, low-area FPGA-based hardware logarithm generator for digital signal processing systems which require high-speed, real time logarithm operations. The proposed logarithm generator employs the modified quasi-symmetrical approach for an efficient hardware implementation. The error analysis and implementation results are also presented and discussed. The achieved results show that the proposed approach can reduce the approximation error and hardware area compared with traditional methods.
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
An experimental evaluation of similarity-based and embedding-based link predi...IJDKP
The task of inferring missing links or predicting future ones in a graph based on its current structure
is referred to as link prediction. Link prediction methods that are based on pairwise node similarity
are well-established approaches in the literature and show good prediction performance in many realworld graphs though they are heuristic. On the other hand, graph embedding approaches learn lowdimensional representation of nodes in graph and are capable of capturing inherent graph features,
and thus support the subsequent link prediction task in graph. This paper studies a selection of
methods from both categories on several benchmark (homogeneous) graphs with different properties
from various domains. Beyond the intra and inter category comparison of the performances of the
methods, our aim is also to uncover interesting connections between Graph Neural Network(GNN)-
based methods and heuristic ones as a means to alleviate the black-box well-known limitation.
Efficient implementation of bit parallel finite field multiplierseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Efficient implementation of bit parallel finite eSAT Journals
Abstract Arithmetic in Finite/Galois field is a major aspect for many applications such as error correcting code and cryptography. Addition and multiplication are the two basic operations in the finite field GF (2m).The finite field multiplication is the most resource and time consuming operation. In this paper the complexity (space) analysis and efficient FPGA implementation of bit parallel Karatsuba Multiplier over GF (2m) is presented. This is especially interesting for high performance systems because of its carry free property. To reduce the complexity of Classical Multiplier, multiplier with less complexity over GF (2m) based on Karatsuba Multiplier is used. The LUT complexity is evaluated on FPGA by using Xilinx ISE 8.1i.Furthermore,the experimental results on FPGAs for bit parallel Karatsuba Multiplier and Classical Multiplier were shown and the comparison table is provided. To the best of our knowledge, the bit parallel karatsuba multiplier consumes least resources among the known FPGA implementation. Keywords: Classical Multiplier, Cryptograph, FPGA, Galois field, Karatsuba Multiplier
A fpga implementation of data hiding using lsb matching methodeSAT Journals
Abstract
Data Hiding is one of the familiar methodologies used nowadays to authenticate and resolve the copyrights of the digital data.
This paper discusses the verilog based FPGA implementation of data hiding in grayscale image using the concept of the LSB
Matching technique. In this verilog based data hiding process the secret digital signature is hidden in the host image then
analyzed with the PSNR value and Payload capacity.
Keywords: Data hiding, Least-Significant-bit matching method, Reversible, Gray Scale Image, Real Time
LSB Embedding, FPGA- Implementation etc
Application Of Extreme Value Theory To Bursts PredictionCSCJournals
Bursts and extreme events in quantities such as connection durations, file sizes, throughput, etc. may produce undesirable consequences in computer networks. Deterioration in the quality of service is a major consequence. Predicting these extreme events and burst is important. It helps in reserving the right resources for a better quality of service. We applied Extreme value theory (EVT) to predict bursts in network traffic. We took a deeper look into the application of EVT by using EVT based Exploratory Data Analysis. We found that traffic is naturally divided into two categories, Internal and external traffic. The internal traffic follows generalized extreme value (GEV) model with a negative shape parameter, which is also the same as Weibull distribution. The external traffic follows a GEV with positive shape parameter, which is Frechet distribution. These findings are of great value to the quality of service in data networks, especially when included in service level agreement as traffic descriptor parameters.
Improved ant colony optimization for quantum cost reductionjournalBEEI
Heuristic algorithms play a significant role in synthesize and optimization of digital circuits based on reversible logic yet suffer with multiple disadvantages for multiqubit functions like scalability, run time and memory space. Synthesis of reversible logic circuit ends up with trade off between number of gates, quantum cost, ancillary inputs and garbage outputs. Research on optimization of quantum cost seems intractable. Therefore post synthesis optimization needs to be done for reduction of quantum cost. Many researchers have proposed exact synthesis approaches in reversible logic but focussed on reduction of number of gates yet quantum cost remains undefined. The main goal of this paper is to propose improved ant colony optimization (ACO) algorithm for quantum cost reduction. The research efforts reported in this paper represent a significant contribution towards synthesis and optimization of high complexity reversible function via swarm intelligence based approach. The improved ACO algorithm provides low quantum cost based toffoli synthesis of reversible logic function without long computation overhead.
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.
Improving Neural Abstractive Text Summarization with Prior KnowledgeGaetano Rossiello, PhD
Abstractive text summarization is a complex task whose goal is to generate a concise version of a text without necessarily reusing the sentences from the original source, but still preserving the meaning and the key contents. In this position paper we address this issue by modeling the problem as a sequence to sequence learning and exploiting Recurrent Neural Networks (RNN). Moreover, we discuss the idea of combining RNNs and probabilistic models in a unified way in order to incorporate prior knowledge, such as linguistic features. We believe that this approach can obtain better performance than the state-of-the-art models for generating well-formed summaries.
The article presents Part of Speech Tagging for Nepali Text using three techniques of Artificial Neural networks. The novel algorithm for POS tagging is introduced .Features are extracted from the marginal probability of Hidden Markov Model. The extracted features are supplied to 3 different ANN architectures viz. Radial Basis Function (RBF) network, General Regression Neural Networks (GRNN) and Feed forward Neural network as an input vector for each word. Two different Annotated Tagged sets are constructed for training and testing purpose. Results are compared using all the 3 techniques and applied on both the sets. GRNN based POS tagging technique is found better as it produces 100% and 98.32% accuracies for both training and testing sets respectively.
In conventional transportation problem (TP), all the parameters are always certain. But, many of the real life situations in industry or organization, the parameters (supply, demand and cost) of the TP are not precise which are imprecise in nature in different factors like the market condition, variations in rates of diesel, traffic jams, weather in hilly areas, capacity of men and machine, long power cut, labourer’s over time work, unexpected failures in machine, seasonal changesandmanymore. Tocountertheseproblems,dependingonthenatureoftheparameters, theTPisclassifiedintotwocategoriesnamelytype-2andtype-4fuzzytransportationproblems (FTPs) under uncertain environment and formulates the problem and utilizes the trapezoidal fuzzy number (TrFN) to solve the TP. The existing ranking procedure of Liou and Wang (1992)isusedtotransformthetype-2andtype-4FTPsintoacrisponesothattheconventional method may be applied to solve the TP. Moreover, the solution procedure differs from TP to type-2 and type-4 FTPs in allocation step only. Therefore a simple and efficient method denoted by PSK (P. Senthil Kumar) method is proposed to obtain an optimal solution in terms of TrFNs. From this fuzzy solution, the decision maker (DM) can decide the level of acceptance for the transportation cost or profit. Thus, the major applications of fuzzy set theory are widely used in areas such as inventory control, communication network, aggregate planning, employment scheduling, and personnel assignment and so on.
PEC - AN ALTERNATE AND MORE EFFICIENT PUBLIC KEY CRYPTOSYSTEMijcisjournal
In an increasingly connected world, security is a top concern for Internet of Things (IoT). These IoT devices have to
be inexpensive implying that they will be constrained in storage and computing resources. In order to secure such
devices, highly efficient public key cryptosystems (PKC) are critical. Elliptic Curve Cryptography (ECC) is the most
commonly implemented PKC in use today. In this paper, an alternate and a more efficient PKC, called the PEC (Pells
Equation Cryptography) has been proposed based on Pells equation: x
2 − D ∗ y
2 ≡ 1 (mod p). It is shown that scalar
multiplication in PEC is significantly more efficient compared to ECC. It is also shown that the Discrete Logarithm
Problem - computing the private key from the public key - in PEC is at least as hard as that of ECC.
A Comparison between FPPSO and B&B Algorithm for Solving Integer Programming ...Editor IJCATR
Branch and Bound technique (B&B) is commonly used for intelligent search in finding a set of integer solutions within a space of interest. The corresponding binary tree structure provides a natural parallelism allowing concurrent evaluation of sub-problems using parallel computing technology. Flower pollination Algorithm is a recently-developed method in the field of computational intelligence. In this paper is presented an improved version of Flower pollination Meta-heuristic Algorithm, (FPPSO), for solving integer programming problems. The proposed algorithm combines the standard flower pollination algorithm (FP) with the particle swarm optimization (PSO) algorithm to improve the searching accuracy. Numerical results show that the FPPSO is able to obtain the optimal results in comparison to traditional methods (branch and bound) and other harmony search algorithms. However, the benefits of this proposed algorithm is in its ability to obtain the optimal solution within less computation, which save time in comparison with the branch and bound algorithm.Branch and bound, flower pollination Algorithm; meta-heuristics; optimization; the particle swarm optimization; integer programming.
Scalable Rough C-Means clustering using Firefly algorithm..................................................................1
Abhilash Namdev and B.K. Tripathy
Significance of Embedded Systems to IoT................................................................................................. 15
P. R. S. M. Lakshmi, P. Lakshmi Narayanamma and K. Santhi Sri
Cognitive Abilities, Information Literacy Knowledge and Retrieval Skills of Undergraduates: A
Comparison of Public and Private Universities in Nigeria ........................................................................ 24
Janet O. Adekannbi and Testimony Morenike Oluwayinka
Risk Assessment in Constructing Horseshoe Vault Tunnels using Fuzzy Technique................................ 48
Erfan Shafaghat and Mostafa Yousefi Rad
Evaluating the Adoption of Deductive Database Technology in Augmenting Criminal Intelligence in
Zimbabwe: Case of Zimbabwe Republic Police......................................................................................... 68
Mahlangu Gilbert, Furusa Samuel Simbarashe, Chikonye Musafare and Mugoniwa Beauty
Analysis of Petrol Pumps Reachability in Anand District of Gujarat ....................................................... 77
Nidhi Arora
The paper presents a nature inspired algorithm that copies the big bang theory of evolution.
This algorithm is simple with regard to number of parameters. Embedded systems are powered by
batteries and enhancing the operating time of the battery by reducing the power consumption is vital.
Embedded systems consume power while accessing the memory during their operation. An efficient
method for power management is proposed in this work. The proposed method, reduce the energy
consumption in memories from 76% up to 98% as compared to other methods reported in the
literature.
Buffer Allocation Problem is an important research issue in manufacturing system design.
Objective of this paper is to find optimum buffer allocation for closed queuing network with
multi servers at each node. Sum of buffers in closed queuing network is constant. Attempt is
made to find optimum number of pallets required to maximize throughput of manufacturing
system which has pre specified space for allocating pallets. Expanded Mean Value Analysis is
used to evaluate the performance of closed queuing network. Particle Swarm Optimization is
used as generative technique to optimize the buffer allocation. Numerical experiments are
shown to explain effectiveness of procedure
SOLVING OPTIMAL COMPONENTS ASSIGNMENT PROBLEM FOR A MULTISTATE NETWORK USING ...ijmnct
Optimal components assignment problem subject to system reliability, total lead-time, and total cost constraints is studied in this paper. The problem is formulated as fuzzy linear problem using fuzzy membership functions. An approach based on genetic algorithm with fuzzy optimization to sole the presented problem. The optimal solution found by the proposed approach is characterized by maximum reliability, minimum total cost and minimum total lead-time. The proposed approach is tested on different examples taken from the literature to illustrate its efficiency in comparison with other previous methods.
SOLVING OPTIMAL COMPONENTS ASSIGNMENT PROBLEM FOR A MULTISTATE NETWORK USING ...ijmnct
Optimal components assignment problem subject to system reliability, total lead-time, and total cost
constraints is studied in this paper. The problem is formulated as fuzzy linear problem using fuzzy
membership functions. An approach based on genetic algorithm with fuzzy optimization to sole the
presented problem. The optimal solution found by the proposed approach is characterized by maximum
reliability, minimum total cost and minimum total lead-time. The proposed approach is tested on different
examples taken from the literature to illustrate its efficiency in comparison with other previous methods
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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.
SVD BASED LATENT SEMANTIC INDEXING WITH USE OF THE GPU COMPUTATIONSijscmcj
The purpose of this article is to determine the usefulness of the Graphics Processing Unit (GPU) calculations used to implement the Latent Semantic Indexing (LSI) reduction of the TERM-BY DOCUMENT matrix. Considered reduction of the matrix is based on the use of the SVD (Singular Value Decomposition) decomposition. A high computational complexity of the SVD decomposition - O(n3), causes that a reduction of a large indexing structure is a difficult task. In this article there is a comparison of the time complexity and accuracy of the algorithms implemented for two different environments. The first environment is associated with the CPU and MATLAB R2011a. The second environment is related to graphics processors and the CULA library. The calculations were carried out on generally available benchmark matrices, which were combined to achieve the resulting matrix of high size. For both considered environments computations were performed for double and single precision data.
LOGIC OPTIMIZATION USING TECHNOLOGY INDEPENDENT MUX BASED ADDERS IN FPGAVLSICS Design
Adders form an almost obligatory component of every contemporary integrated circuit. The prerequisite of the adder is that it is primarily fast and secondarily efficient in terms of power consumption and chip area. Therefore, careful optimization of the adder is of the greatest importance. This optimization can be attained
in two levels; it can be circuit or logic optimization. In circuit optimization the size of transistors are manipulated, where as in logic optimization the Boolean equations are rearranged (or manipulated) to optimize speed, area and power consumption. This paper focuses the optimization of adder through technology independent mapping. The work presents 20 different logical construction of 1-bit adder cell in CMOS logic and its performance is analyzed in terms of transistor count, delay and power dissipation. These performance issues are analyzed through Tanner EDA with TSMC MOSIS 250nm technology. From this analysis the optimized equation is chosen to construct a full adder circuit in terms of multiplexer. This logic optimized multiplexer based adders are incorporated in selected existing adders like ripple carry
adder, carry look-ahead adder, carry skip adder, carry select adder, carry increment adder and carry save adder and its performance is analyzed in terms of area (slices used) and maximum combinational path delay as a function of size. The target FPGA device chosen for the implementation of these adders was Xilinx ISE 12.1 Spartan3E XC3S500-5FG320. Each adder type was implemented with bit sizes of: 8, 16, 32, 64 bits. This variety of sizes will provide with more insight about the performance of each adder in terms of area and delay as a function of size.
An Optimal Solution to the Linear Programming Problem using Lingo Solver: A Case Study of an
Apparel Production Plant of Sri Lanka.................................................................................................1
Z. A. M. S. Juman and W. B. Daundasekara
Analysis of BT and SMS based Mobile Malware Propagation ................................................................. 16
Prof. R. S. Sonar and Sonal Mohite
Behavioral Pattern of Internet Use among University Students of Pakistan........................................... 25
Amir Manzoor
BER Analysis of BPSK and QAM Modulation Schemes using RS Encoding over Rayleigh Fading Channel
.................................................................................................................................................................... 37
Faisal Rasheed Lone and Sanjay Sharma
Harnessing Mobile Technology (MT) to Enhancy the Sustainable Livelihood of Rural Women in
Zimbabwe: Case of Mobile Money Transfer (MMT) ................................................................................ 46
Samuel Musungwini, Tinashe Gwendolyn Zhou, Munyaradzi Zhou, Caroline Ruvinga and Raviro Gumbo
Design and Evaluation of a Comprehensive e-Learning System using the Tools on Web 2.0 ................ 58
Maria Dominic, Anthony Philomenraj and Sagayaraj Francis
Critical Success Factors for the Adoption of School Administration and Management System in South
African Schools ...............................................................................................................................74
Mokwena Nicolas Sello
Efficient and Trust Based Black Hole Attack Detection and Prevention in WSN ................................... 93
Abstract: Energy consumption is one of the constraints in Wireless Sensor Networks (WSNs). The routing protocols are the hot areas to address quality-of-service (QoS) related issues viz. Energy consumption, network lifetime, network scalability and packet overhead. In existing system a hybrid optimization based PEGASIS-DSR optimized routing protocol (PDORP) is presented which used cache and directional transmission concept of both proactive and reactive routing protocols. The performance of PDORP has been evaluated and the results indicated that it performs better in most significant parameters. The performance of the existing method is checked when it is evaluated and validated with the nodes which are highly dynamic in nature based on the application requirement. The current system finds the trusted nodes in the case of only static environment. To overcome the issue the proposed system is applied for dynamic WSN’s with the location frequently being changed. The PDORP-LC is applied with local caching (LC) to acquire the location information so that the path learning can be dynamic without depending on the fixed location. The proposed work is performing in dynamic environment with the dynamic derivation of trusted nodes.
Keywords: local caching (LC), Wireless Sensor Networks (WSNs), PEGASIS-DSR optimized routing protocol (PDORP).
Title: Energy Efficient Optimal Paths Using PDORP-LC
Author: ADARSH KUMAR B, BIBIN CHRISTOPHER, ISSAC SAJAN, AJ DEEPA
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Similar to A minimization approach for two level logic synthesis using constrained depth first search (20)
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
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4. is
. Thus,
, is a Boolean function of n input variables. The on-set
of a function, , is defined as
. Similarly, the off-setis
. Note that since , 0 and 1 are the only possible values of , thus, the on-set,
, completely specifies the Boolean function.
Boolean values of variables can be viewed as a string of binary values, which can be
interpreted as an unsigned decimal number. For example, suppose a 3-input variable, , has
the values
5. . These values can be viewed as the binary string 110 which may be
interpreted as the number 6. With this interpretation, all possible values of n variables can be
represented as integers between 0 and
. In particular, the on-set of a Boolean function can be
specified as a subset of integers in this range. For example,
6. , is equivalently defined
by !#.
A literal is an input variable in true or complemented form, that is, $ or $
. A product term is
a product
of one or more literals. If all the literals are present in a product term, it is called a
minterm. The on-set of a minterm is one integer. For example, on-set of
7. , is {5}. Similarly,
the on-set of product term 1, 3}.
A product term, %, is an implicant of a Boolean function, , if %, or equivalently,
% ' . An implicant is a prime implicant of if there is no other product implicant of which
implies this implicant as well. A set of prime implicants, ( %
8. %
%), is said to cover the
function, , if the union of on-sets of these prime implicants is equal to the on-set of the function,
( *%$
. A set of prime implicants is irredundant if no prime implicant can be removed
from the set without changing its on-set. As shown in [2], a minimal sum-of-products representation
of a Boolean function must be an irredundant set of prime implicants. Thus, using the number of
gates as the cost, a minimal two-level implementation is an irredundant set of prime implicants.
Minimal two-level representations of Boolean functions are obtained in two steps. First,
generate all possible prime implicants of the Boolean function, and, second, search for lowest cost
irredundant set of prime implicants that covers the function, from all possible sets. The textbook
approach to generate all prime implicants of a function is the Quine-McClusky tabulation approach
[2, 3]. However, it is noted that a cube absorption approach [4, 5], with efficient algorithmic
10. , can be represented as the
vertex of 3-d unit cube with coordinates
= 1,
11. . A string representation of this
minterm is “101”. Product terms correspond to a set of vertices which form a sub-cube. For
example, the product term
12. has the string representation is “01*” where the ‘*’ represents the
corresponding variable is missing. In higher dimensions, a 5-d sub-cube “01*0*” consists of 4
minterms “01000,” “01001,” “01100,” and “01101.” For a cube that has ‘*’, there are
sub-cubes.
A cube set represents a union of all the vertices of the cubes in the set. Thus, a function is
represented as a cube set which contains cubes whose union has the same vertices as the +-set of
the function. For instance, the vertices in the +-set of the 3 input function
13. are the
union of vertices in two cubes, so this function is represented by the cube set,
, {“00*”, “*10”}.
Many operations defined on these unit cubes are useful for Boolean computations.
Intersection of two cubes is defined, like sets, as the vertices common to both cubes. These vertices
form a sub-cube which is contained in both cubes. If there are no common vertices, the intersection
is a null cube. For example, the intersection of two cubes “10**1” and “10*1*” is the sub-cube
“10*11”, and intersection of “10**1” and “11***” is the null cube. Intersection of cubes is widely
used in the current work to determine whether a vertex is covered by a cube. Cube absorption is an
important cube operation that combines two adjacent cubes to form one larger cube. Adjacent cubes
have identical values for all variables except one, and that variable has the complemented form in
one cube and the uncomplemented form in the other cube. These cubes are absorbed into a single
cube in which this variable is missing. As an example, consider cubes “0*1*1” and “0*0*1.” These
cubes can be combined to form the absorbed cube, “0***1.” Note that the cube “0*1*1” cannot be
combined with the cube “1*0*1” because these cubes differ in 2 variables.
The Positional Cube Notation (PCN) representation [6] along with efficient implementation
of the cube operations is discussed next. Each variable is represented by two bits which hold the
enum values, {null, one, zero, both}. Pseudo-code for setting and getting value of the *-. variable is
shown below. Beyond compact representation of cube data, the PCN notation enables efficient
implementation of the cube operations such as bitwise and for cube intersection. Pseudo-code for
intersect operation is shown below. The intersect operator is used to determine whether a vertex cube
is contained in a larger cube. A new powerful algorithm to determine whether two cubes can be
absorbed, and absorbing them if possible is implemented using bitwise xor. The bitwise xor
operation results in the special null value in all the places where the corresponding variables are
identical. Thus, if one variable has non-null value, then the cubes can be absorbed and that location
gets both values in the absorbed cube. Pseudo-code for xor and absorb operations is shown below.
26
34. (
Using the cube operations described above, prime implicants can be obtained by absorbing
adjacent cubes as much as possible. Absorbing of a vector of cubes, denoted lower in pseudo-code
below, considers all possible pairs of cubes. If possible, absorption of the cubes is performed, and the
absorbed cube is stored in a set of Cubes. The absorbed cubes are marked accordingly. Upon
completion, the unique cubes in the set are transferred to a vector called higher. Thus, all possible
absorption of cubes in lower are performed and results stored in higher vector. The cubes that are
not absorbed are prime implicants. The process is repeated until no more absorption is possible.
27
03%4
03!!
51. (
%4
!!
The main result of this paper, a constrained depth first search approach to determine
minimum cost cover from the set of prime implicants, is presented in this section. Given the set of all
prime implicants, the decision problem is to select a subset of prime implicants that cover the
Boolean logic function with minimum cost. For each prime implicant, the algorithm has to decide
whether to include it in the optimal subset or not. Thus, if the cardinality of the set of all prime
implicants, ( %
52. %
%-, is /, its power set, 0the set of all subsets of prime implicants, has
cardinality, -. Clearly, all subsets do not satisfy the criterion of covering the entire Boolean
function–for example, the empty set does not cover the function. The combinational optimization
problem is to select the subset of prime implicants that has a minimal cost while satisfying the
aforementioned criterion. Denoting the cost of a subset of prime implicants, 1, as ,1, the
combinational optimization problem is to characterize the minimal set for two-level synthesis
defined as:
123- 14 044,1 5 ,644446 07*/841 46 }
The cost ,1 is typically the number of gates or the number of inputs to these gates. For
example, the cost for the product cube, “*01*1”, could either be 1 gate, from the AND gate, or 3
inputs, for the inputs to the AND gate. Fan-in limited, minimal, two-level synthesis could also be