- Dr. Madan Lal Saini is an Associate Professor in the Department of Computer Science and Engineering in Poornima Unive... moreDr. Madan Lal Saini is an Associate Professor in the Department of Computer Science and Engineering in Poornima University, Jaipur. Dr. Madan completed his PHD in Computer Science in the year 2017 and MTECH in Computer Science and Engineering in the year 2013. Dr. Madan received his Bachelor degree in Engineering BE (IT) from University of Rajasthan in the year 2005. He has got published more than 30 research papers in various international journals and conferences (SCOPUS/UGC Care indexed) in the areas of Internet of Things, Error Control Codes, Artificial Intelligence and Machine Learning.edit
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Background: The aim of this study is to analyse the work carried out in healthcare or medical domain using blockchain technology for privacy and security of patient’s data, their healthcare records. The documents published in Scopus and... more
Background: The aim of this study is to analyse the work carried out in healthcare or medical domain using blockchain technology for privacy and security of patient’s data, their healthcare records. The documents published in Scopus and Web of Science databases during the year 2016 to present (February 2021) have been considered for survey. Methods: Scopus and Web of Science(WoS), most popular databases are used to retrieve documents which were published between years 2016 to present. Scopus analyser and web of Science analyser are used for analysis of various parameters such as documents published per year, sources of documents, number of citations and so on. VOSviewer1.6.16 software tool is used for analysis of different units such as citations, co- authorship etc. Results: During our survey we have retrieved a total 598 documents related to blockchain technology in the healthcare domain which are published from year 2016 on wards from scopus database. Using a web of science datab...
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Learning is a key to perform ideas adequately. Machine Learning empowers IT organizations to identify the patterns on the basis of currently available algorithms and data frames to cultivate acceptable solution concepts. Online business... more
Learning is a key to perform ideas adequately. Machine Learning empowers IT organizations to identify the patterns on the basis of currently available algorithms and data frames to cultivate acceptable solution concepts. Online business market and customer retention is a relation like the two sides of a coin. It is a nonlinear relationship. Prediction of Business growth is a very sensitive issue of E-Commerce market with its future existence. Online venders of business market manage their inventories on virtual prediction bases for full filling the basic need of demand-supply chain of customers. Authorizing traditional ways and analysis methods are not ensuring the rate of reliability of the sales prediction. To produce more precise predictions and analysis, we use ML algorithm. In this paper, we utilized the selling data set of an E-commerce company and segregated it, in different quarters then calculating the sale income per quarter. After that we divided the dataset in the propor...
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Background: Cardiovascular diseases are increasing at an alarming rate with very high rate of mortality. Coronary artery disease is one of the type of cardiovascular disease, which is not easily diagnosed in its early stage. Prevention of... more
Background: Cardiovascular diseases are increasing at an alarming rate with very high rate of mortality. Coronary artery disease is one of the type of cardiovascular disease, which is not easily diagnosed in its early stage. Prevention of Coronary Artery Disease is possible only if it is diagnosed, at early stage and proper medication is done. Objective: An effective diagnosis model is important not only for the early diagnosis but also to check the severity of the disease. Method: In this paper, a hybrid approach is followed, with the integration of deep learning (multi-layer perceptron) with Case based reasoning to design analytical framework. This paper suggests two phases of the study, one in which the patient is diagnosed for Coronary artery disease and in second phase, if the patient is suffering from the disease then employing Case based reasoning to diagnose the severity of the disease. In the first phase, multilayer perceptron is implemented on reduced dataset and with time...
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The expeditious rate of development of E-commerce completely changes the pattern of human's life style. In current decade, E-commerce is fastest emerging technology of world; with this technology we can easily enhance our diameter of... more
The expeditious rate of development of E-commerce completely changes the pattern of human's life style. In current decade, E-commerce is fastest emerging technology of world; with this technology we can easily enhance our diameter of the market area for selling and purchasing of Automobiles and its new or old spare parts comfortably via connecting internet with great efficiency, portability and any time –everywhere existence. The main target of this review paper is to analysis selling rate for the E-business marketing of automobiles, its spare parts and services for establishing the customer loyalty in turn of long and strong relationship for the beneficial growth in profit/revenue.
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In the field of agriculture disease in crops are major problem. The main aim of the work is to classify disease in tomato leaf using different Convolution Neural Network architectures. The disease in tomato leaf can affect quality and... more
In the field of agriculture disease in crops are major problem. The main aim of the work is to classify disease in tomato leaf using different Convolution Neural Network architectures. The disease in tomato leaf can affect quality and quantity of production. To overcome this problem early disease identification, classification and detection is required. Recently, deep learning is very popular object recognition and detection. Convolution Neural Network id part of deep learning which is widely used in object detection part. In these different architectures of Convolution Neural Network are used to classify 10 classes of tomato disease. This paper used AlexNet, VGG-16, GoogleNet, DenseNet-121, and ResNet-lOl for classification of tomato leaves. The dataset used is publicly available PlantVillage dataset. DenseNet-121, VGG16 and ResNet-lOl performs almost equal in terms of accuracy, precision, Fl-score, and Recall. Size of DenseNet-121 is only 89.6MB which is very smaller than ResNet-l...
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Education system is the most important aspect of any society as it directly affects employability. In today’s modern era the number of graduates is on rise but when we look at the rate of employability of these graduates it is very poor.... more
Education system is the most important aspect of any society as it directly affects employability. In today’s modern era the number of graduates is on rise but when we look at the rate of employability of these graduates it is very poor. In this paper, we try to understand IT graduate attributes by working on the database collected from aspiring minds (leading Assessment Company) and develop multilinear regression model to predict the correlation between attributes using R. The results can be utilized to better understand the factors that directly affect employability. Thus, making the graduates more industry ready and making them employable. Prediction can be used effectively to predict the dependencies of graduate attributes on each other. Multilinear regression model is used because there are many independent attributes a graduate can have and only one dependent variable that can be considered as the outcome of graduate. The model is implemented using R in ANACONDA tool as the ac...
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In digital communication there are various error correcting codes and techniques available. In this paper the number of parity bits over the message bits for Hamming, BCH, RS Code, and DEC are examined. This research paper analyzed the... more
In digital communication there are various error correcting codes and techniques available. In this paper the number of parity bits over the message bits for Hamming, BCH, RS Code, and DEC are examined. This research paper analyzed the overhead (parity bits) of various systematic single and double error correcting codes. A new code is proposed for single and double error correction, which minimizes the overhead and encoding/ decoding time delay.
In today’s world, business is growing at a very fast pace. The palpable reason for such a fast growth rate is competitive prices and advancement in technology. Introduction of intelligent computational methods like machine learning or... more
In today’s world, business is growing at a very fast pace. The palpable reason for such a fast growth rate is competitive prices and advancement in technology. Introduction of intelligent computational methods like machine learning or deep learning, which is a subset of machine learning, increased the potential of digital procedures and hence every business wants to equip with more and more automated processes for better and early decision-making. Growth in business sector is very important for every nation. One of the business sectors that is growing rapidly in all over the world is the health sector. Health sector is now implementing a number of automated intelligent systems for better decision making. This paper proposed a model based on deep neural network for finding the severity of coronary artery disease (CAD) among patients. For the purpose of experiment, the data has been collected from a medical college under the guidance of doctors. First, the features have been reduced t...
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A mobile ad hoc network (MANET) is an accumulation of moving node, in which node conveys without the utilization of any settled foundation or any brought together space. In such case, a versatile host can act both as a host and as a... more
A mobile ad hoc network (MANET) is an accumulation of moving node, in which node conveys without the utilization of any settled foundation or any brought together space. In such case, a versatile host can act both as a host and as a switch for sending information parcels to other portable nodes in the system. As there is no settled foundation in this way, MANETs are thought to be vulnerable. Huge overheads are required to keep up the courses consistently. Receptive conventions send control parcels just amid the correspondence. Dynamic mobile ad hoc network on-demand (DYMO) proposed for routing in MANET by using moving nodes is a reactive protocol. It can effectively adjust to the changing topology of system and can discover courses between end nodes. This paper proposes a new framework which upgrades the DYMO protocol by including ant colony optimization (ACO). The upgraded form of the convention is contrasted and alternate conventions of its classification on the premise of different execution parameters. Result analysis shows that proposed protocol performs superior to the different existing protocols like AODV, TORA, DYMO, M-DYMO, and ACO.
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In current era, E-commerce is fastest emerging technology of world; with this technology we can easily enhance our businesses by trading in products and services via connecting internet with great efficiency and portability. The... more
In current era, E-commerce is fastest emerging technology of world; with this technology we can easily enhance our businesses by trading in products and services via connecting internet with great efficiency and portability. The expeditious rate of development of E-commerce completely changes the pattern of human’s life style. Many different types of models are available in web market for E-commerce, each have his own merits and demerits. The premier target of this research paper is to analysis a web portal of Mantra.com; they started to provide some new features in the web market, which are new revolution in a world of Electronic Commerce. This paper is descriptive in nature to analyses an E-business model, regarding this purpose we select one E-business company which is “Myntra.com” and the collected data is secondary in nature from the company, its online website or app and other sources. This research paper will find out the behavior aspect of customer loyalty towards online web site of Myntra.com and it will help me to understand the working of ERP model of Myntra and will construct the outline scenario, technical aspect and another needs for developing a ERP (Enterprise Resource Planning) Model for retention of loyal customers.
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Breast cancer is a type of cancer that has highest mortality rate in women in almost all the nations, accounting for 14% of all cancer deaths worldwide. Early and accurate diagnosis can help medical practitioners to take early decisions... more
Breast cancer is a type of cancer that has highest mortality rate in women in almost all the nations, accounting for 14% of all cancer deaths worldwide. Early and accurate diagnosis can help medical practitioners to take early decisions that can protect a large number of patients from unnecessary medical expenses and can provide them with early treatment. There are some widely accepted techniques or methods that are being used by the clinical experts for the diagnosing of breast cancer. Some of them are biopsy, mammography and Fine Needle Aspirate. The emergence of machine learning algorithms and accessibility to health care data offers more opportunities for comprehensive analysis and identification of diseases non-invasively much accurately and hence can improve treatment and prevention of diseases like breast cancer. The proposed study provides another novel method for the identification of breast cancer using a multilayer perceptron feed forward network. For experiment purpose, we used the breast cancer related data available at UC Irvine machine-learning repository. The model achieved the accuracy of 98.43%.
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In digital communication system error correction codes are used when channel is noisy. An error correction code removes errors induced in communication and make possible error free transmission. By use of such error correction code we can... more
In digital communication system error correction codes are used when channel is noisy. An error correction code removes errors induced in communication and make possible error free transmission. By use of such error correction code we can send signal at lower transmit power as compared to un-coded system. Convolutional code corrects both type of errors random and burst and used in deep space and wireless communication. This paper introduces convolutional encoders for various code rates and generator polynomials and calculates BER performance for coded and un-coded system. Generator polynomials were selected for code rate 1/2, 1/3, and 1/4 on the basis of BER performance. This paper presents the signal power gain achieved by convolutional code as compared to un-coded system.
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The expeditious rate of development of E-commerce completely changes the pattern of human's life style. In current decade, E-commerce is fastest emerging technology of world; with this technology we can easily enhance our diameter of the... more
The expeditious rate of development of E-commerce completely changes the pattern of human's life style. In current decade, E-commerce is fastest emerging technology of world; with this technology we can easily enhance our diameter of the market area for selling and purchasing of Automobiles and its new or old spare parts comfortably via connecting internet with great efficiency, portability and any time-everywhere existence. The main target of this review paper is to analysis selling rate for the E-business marketing of automobiles, its spare parts and services for establishing the customer loyalty in turn of long and strong relationship for the beneficial growth in profit/revenue.
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Ad Hoc Network or MANET is defined as a network that has many free nodes mostly composed of mobile devices or its particle .It is the network that is continuously moving or we can say it is a mobile network. Topology in MANET is... more
Ad Hoc Network or MANET is defined as a network that has many free nodes mostly composed of mobile devices or its particle .It is the network that is continuously moving or we can say it is a mobile network. Topology in MANET is dynamically changed over time. It is a decentralized and self-organized communication system. Due to Dynamic topology used in MANET traditional routing algorithms are not effective and it is challenging to manage routing. In order to developing highly efficient routing algorithm which can produce low packet delay, High transmission rate, minimum Jitter, better QOS for MANET is very difficult. Now a days algorithms based on Swarm Intelligence are producing good result for routing in MANET using optimization. In this paper we tried to review literature related to techniques which gives good performance in routing, delay, jitter, QOS systematically in MANET, also shown better Quality of Services using Swarm Intelligence in MANET. The main objective to perform this survey is just to have deep knowledge about techniques available for routing in better way to produce good results in Network
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In digital communication system error correction codes are used when channel is noisy. An error correction code removes errors induced in communication and make possible error free transmission. By use of such error correction code we can... more
In digital communication system error correction codes are used when channel is noisy. An error correction code removes errors induced in communication and make possible error free transmission. By use of such error correction code we can send signal at lower transmit power as compared to un-coded system. Convolutional code corrects both type of errors random and burst and used in deep space and wireless communication. This paper introduces convolutional encoders for various code rates and generator polynomials and calculates BER performance for coded and un-coded system. Generator polynomials were selected for code rate 1/2, 1/3, and 1/4 on the basis of BER performance. This paper presents the signal power gain achieved by convolutional code as compared to un-coded system.
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Error correction codes are used in digital communication system when channel is noisy. An error correction code removes errors induced in communication and make possible error free transmission. By use of such error correction codes... more
Error correction codes are used in digital communication system when channel is noisy. An error correction code removes errors induced in communication and make possible error free transmission. By use of such error correction codes signals can be sent at lower transmit power as compared to uncoded system. Convolutional code corrects both type of errors random and burst and used in deep space and wireless communication. This paper introduces convolutional encoders for various code rates and generator polynomials and calculates BER performance for coded and un-coded system. Generator polynomials were selected for code rate 1/2, 1/3, and 1/4 on the basis of BER performance. Signal power consumption gain was calculated by convolutional code as compared to un-coded system.
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In digital communication forward error correction methods have a great practical importance when channel is noisy. Convolutional error correction code can correct both type of errors random and burst. Convolution encoding has been used in... more
In digital communication forward error correction methods have a great practical importance when channel is noisy. Convolutional error correction code can correct both type of errors random and burst. Convolution encoding has been used in digital communication systems including deep space communication and wireless communication. The error correction capability of convolutional code depends on code rate and constraint length. The low code rate and high constraint length has more error correction capabilities but that also introduce large overhead. This paper introduces convolutional encoders for various constraint lengths. By increasing the constraint length the error correction capability can be increased. The performance and error correction also depends on the selection of generator polynomial. This paper also introduces a good generator polynomial which has high performance and error correction capabilities.
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Wireless Sensor Network (WSN) is a promising technology that has a wide range of potential applications. Such network consists of large number of distributed nodes that organized themselves into multihop WSN. Each node collects... more
Wireless Sensor Network (WSN) is a promising technology that has a wide range of potential applications. Such network consists of large number of distributed nodes that organized themselves into multihop WSN. Each node collects information as required and sends it to base stations. There is a major problem of energy consumption in WSN. As sensor nodes are located in remote areas without any personal assistance. In this paper, the proposed work is to analyze the energy consumption and its effect on data transmission using Sensor Medium Access Control (S-MAC) protocol. S-MAC protocol is used in WSN to reduce energy consumed by sensor nodes. Proposed work is to analyze energy consumption with different duty cycles in S-MAC protocol and its effect on throughput of network. The duty cycle is decided at which energy consumption is less compared to others and how much this is efficient to others. Similarly throughput and end to end delay is found at different duty cycles. Again duty cycle is found at which both the attributes are efficient.