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Jyoti Agarwal

Bio: Jyoti Agarwal is an academic researcher from Amity University. The author has contributed to research in topics: Software system & Usability. The author has an hindex of 4, co-authored 9 publications receiving 34 citations. Previous affiliations of Jyoti Agarwal include Guru Gobind Singh Indraprastha University.

Papers
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Proceedings ArticleDOI
11 May 2018
TL;DR: A framework that will make whole LPG cylinder booking system robotized without human intercession is proposed which constantly measures the weight of the cylinder and sends message to the approved LPG Agent with the goal that they can convey the LPG chamber in time.
Abstract: The world has seen rapid development of technology in various field due to fast modernization of this world. However, all of that is basically to make human life more easy and hassle-free in every sphere of life. it isn't conceivable to supply LPG through Pipes to every single home in a country like India, as creation of LPG is too meager. At the moment we are having a framework Advance LPG gas booking through IVRS or online which is most troublesome for the uneducated and busy working individuals to book the gas cylinder. Another Major issue clients confront is that we can't predict the precise status of LPG gas culmination, which makes significantly more deferral in booking the cylinder which is awkward the greater part of the circumstances. Presently we are having an IVRS framework in which client needs to experience few stages as per the Programmed voice which likewise incorporates choosing alternatives. The greater part of the uneducated individuals can't finish the booking because of this reason and furthermore the majority of the circumstances the telephone lines are either occupied because of congested calls or telephones not working because of some specialized issues. Our paper proposes a framework that will make whole LPG cylinder booking system robotized without human intercession. This framework constantly measures the weight of the cylinder will consequently sends message to the approved LPG Agent with the goal that they can convey the LPG chamber in time. Alongside the automated booking we additionally composed element identified with the wellbeing of the client in which it consistently screen the spillage of LPG gas and alarms the client in regards to spillage to evade real mishaps which costs human lives for the most part.

22 citations

Proceedings ArticleDOI
01 Aug 2014
TL;DR: It is observed that the proposed algorithm find out the frequent item sets and association rules from databases as compared to the existing algorithms in less numbers of database scans.
Abstract: Data mining is an efficient technology to discover patterns in large databases. Association rule mining techniques are used to find the correlation between the various item sets in the database, and this correlation between various item sets are used in decision making and pattern analysis. In recent years the problem of finding frequent items and association rules from large datasets has been proposed by many researchers. Various research papers on association rule mining (ARM) are studied and analyzed first to understand the existing algorithms. The Apriori algorithm is the basic ARM algorithm, but it requires so many database scans to find frequent items. In Dynamic Item set counting (DIC) algorithm less number of database scans are needed, but complex data structure lattice is used. The main focus of this paper is to propose a new optimized algorithm (FI-generator) and to compare its performance with the existing algorithms. A secondary data set is used to find out frequent item sets and association rules with the help of existing and proposed algorithm).We observed that the proposed algorithm find out the frequent item sets and association rules from databases as compared to the existing algorithms in less numbers of database scans. In the proposed algorithm an optimized data structure adjacency matrix is used. Proposed algorithm reduces the size of candidate-K item set in successive iteration. Pruning is also done at two stages which reduces the memory space.

6 citations

Journal ArticleDOI
TL;DR: The survey done on various algorithms of Association Rules of Data Mining are defined and two main algorithms-Similis Algorithm and FPGrowth Algorithm are compared depending upon the different criteria General Terms Data Mining Association Rules Algorithms.
Abstract: Exploration, analysis of data and to know patterns from large data repository has become the need of an hour. Data Mining Technology provides the solution to meet the market trends. Mining association rule is one of the main application areas of Data Mining. It gives a set of customer transactions on items; the aim is to find correlations between the sales of items. At present there are various Association Rules Algorithms are in market. This paper define the survey done on various algorithms of Association Rules of Data Mining and also compare two main algorithms-Similis Algorithm and FPGrowth Algorithm depending upon the different criteria General Terms Data Mining Association Rules Algorithms

5 citations

Book ChapterDOI
01 Jan 2021
TL;DR: A practical analysis between AES, DES, and RSA is implemented to assess their performance parameters in respect of their space complexity, encryption time, and throughput.
Abstract: Securing the data from unauthorized access is turn out to be a major challenge nowadays. Large volume of data is available in every field for which the security is most crucial. To secure the data, the security experts in last few decades implement various techniques. The main domain, which provide data security, is known as cryptography. This provide security to data against the unauthorized access. Encryption and decryption are two basic terms in cryptography. With the evolution of techniques and intelligence, the chances of getting unauthorized access on data are increased with multifold scenario. To overcome with this, the researchers use various security algorithms. In this research paper, a practical analysis between AES, DES, and RSA is implemented to assess their performance parameters in respect of their space complexity, encryption time, and throughput. Experiments are carried out on various type of data files so that the performance of three can be analyzed.

4 citations

Proceedings ArticleDOI
01 Sep 2014
TL;DR: Transactions Hashing and Pruning (THP) algorithm overcomes the item set collision problem of DHP algorithm and large hash table problem of PHP algorithm.
Abstract: Hashing & Pruning is very popular association rule mining technique to improve the performance of traditional Apriori algorithm. Hashing technique uses hash function to reduce the size of candidate item set. Direct Hashing & Pruning (DHP), Perfect Hashing &Pruning (PHP) are the basic hashing algorithms. Many algorithms have been also proposed by researchers. All algorithms have their own pros and cons. DHP algorithm suffer from collision and require more database scans to count the frequency of collided item sets. PHP algorithm eliminates collision problem but this algorithm increases the size of hash table which requires large amount of memory space and uses complex hash function. The main objective of this paper is to reduce the number of collision, database scans to count the frequency of collided item sets and to make sure that the size of hash table does not increase. A new algorithm Transaction Hashing and Pruning (THP) is proposed in this paper. THP arranges the item sets into vertical format and after finding out the bucket number of candidate-k item sets, and hashes the transaction id (TID) of that the candidate item set into that bucket. THP algorithm overcomes the item set collision problem of DHP algorithm and large hash table problem of PHP algorithm. Experimental results are also shown in the paper.

4 citations


Cited by
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Book ChapterDOI
Jana Polgar1
01 Jan 2005

394 citations

Journal ArticleDOI
TL;DR: The results obtained by implementing the k-means algorithm using three different metrics Euclidean, Manhattan and Minkowski distance metrics along with the comparative study of results of basic k-Means algorithm which is implemented through Euclidian distance metric for two- dimensional data are discussed.
Abstract: power of k-means algorithm is due to its computational efficiency and the nature of ease at which it can be used. Distance metrics are used to find similar data objects that lead to develop robust algorithms for the data mining functionalities such as classification and clustering. In this paper, the results obtained by implementing the k-means algorithm using three different metrics Euclidean, Manhattan and Minkowski distance metrics along with the comparative study of results of basic k-means algorithm which is implemented through Euclidian distance metric for two- dimensional data, are discussed. Results are displayed with the help of histograms.

273 citations

01 May 2006
TL;DR: A case study has been conducted to detect the power of complexity metrics in predicting integration and maintenance efforts and revealed that component oriented complexity metrics can be of great value in predicting both integration and Maintenance efforts.
Abstract: The work presented in this paper introduces a set of metrics for component oriented software systems. The work focuses mainly on the complexity that results mainly from factors related to system structure and connectivity. Also, a new set of properties that a component-oriented complexity metric must possess are defined. The metrics have been evaluated using the properties defined in this paper. A case study has been conducted to detect the power of complexity metrics in predicting integration and maintenance efforts. The results of the study revealed that component oriented complexity metrics can be of great value in predicting both integration and maintenance efforts.

38 citations

Journal ArticleDOI
TL;DR: In this article, a system is proposed for detecting different kinds of flammable and toxic gases, such as smoke, ethanol, CNG gas, Methane, toluene, propane, Carbon Monoxide, acetone, Hydrogen Gas, and Formaldehyde.
Abstract: The majority of the existing gases constitute a risk to the health of humans and the environment in general. There is a wide range of diseases that can arise as a result of exposure to toxic and dangerous gases, which can be a cause of death or serious health problems. More so, deadly explosions may occur as a result of leakages of such gases. However, such consequences can be avoided when these dangerous gases are not detected early. Many researchers have proposed different kinds of systems for the detection of gas leakage, but most of the proposed systems were mainly designed to detect LPG gas. Therefore, in this study, a system is proposed for detecting different kinds of flammable and toxic gases. The gases that are detectable by the proposed system include smoke, Ethanol, CNG Gas, Methane, toluene, propane, Carbon Monoxide, acetone, Hydrogen Gas, and Formaldehyde. The system can detect gases efficiently and release evacuation alarms simultaneously, then send SMS for emergencies. The proposed system is ready to use and can be installed at any work location.

28 citations

Proceedings ArticleDOI
01 Dec 2019
TL;DR: This IOT project is also designed for detection of LPG gas leakage and the gas is detected using MQ2 gas sensor and the concentration is measured in ppm.
Abstract: LPG gas is the most commonly used Domestic fuel in every household. Booking of the new gas cylinder manually is time consuming. In this fast growing technology, it is not feasible for a person to spend time booking manually when this technology can be used to do such tasks. So, using IOT gas booking can be done simple. Gas booking can be automated by knowing the status of amount of gas in the cylinder using Load cell, weight sensor. When the weight of the cylinder goes below a specified limit, it is notified to the gas agency directly thus booking the new cylinder. Many of the domestic accidents occur due to the leakage of LPG gas. It is dangerous if it is inhaled and also if its level increases it may explode. So, as the safety plays an important role this IOT project is also designed for detection of LPG gas leakage. The gas is detected using MQ2 gas sensor and the concentration is measured in ppm. When the concentration goes beyond a specified amount, it is notified to the user asking to take the necessary actions.

14 citations