Search

Your search keyword '"Juneja, Sapna"' showing total 91 results
Start Over Author "Juneja, Sapna"
91 results on '"Juneja, Sapna"'

74. Energy Saving Implementation in Hydraulic Press Using Industrial Internet of Things (IIoT).

Author

Sumit, Gupta, Deepali, Juneja, Sapna, Nauman, Ali, Hamid, Yasir, Ullah, Inam, Kim, Taejoon, Tag eldin, Elsayed Mohamed, and Ghamry, Nivin A.

Subjects
HYDRAULIC presses, VARIABLE speed drives, INTERNET of things, ENERGY auditing, HYDRAULIC motors, ENERGY consumption
Abstract

With the growing cost of electrical energy, the necessity of energy-saving implementation in industries based on energy audits has become a major focus area. Energy audit results indicate energy-saving potential in an application and require the physical presence of the auditor's team for monitoring and analyzing the energy consumption data. The use of Industrial Internet of Things (IIoT) for remote data monitoring and analysis is growing and new industrial applications based on IIoT are being developed and used by various industrial sectors. Possibilities of a mixed method of physical and remote energy audit using IIoT in industrial applications and its advantages as proposed in this research work needs to be explored. Existing hydraulic press machines running with direct online starter (DOL) can be run with variable speed drive (VSD) for energy saving but this requires an extensive energy audit. Key electrical and operational parameters of the hydraulic pump motor were monitored and analyzed remotely using IIoT in this research work by operating the hydraulic press with DOL and VSD motor control methods one by one. The input power factor of the hydraulic pump motor showed an improvement from 0.79 in DOL control to 0.9 in VSD control at different motor loads. The hydraulic pump motor starting current showed a reduction of 84% with VSD control. The hydraulic pump motor's continuous current was reduced by 40% and 65% during the loading and unloading cycle, respectively, with VSD control. Electrical consumption was reduced by 24% as a result of operating the hydraulic pump motor at 35 Hz with VSD control without impacting the performance of the hydraulic press. These results indicated more efficient control by changing to VSD control in comparison with DOL control. A combination of physical and remote energy audits as performed in this research work using the proposed IIoT framework can be utilized for implementing energy saving in hydraulic presses thus motivating industries to adopt available more energy-efficient technologies at a faster pace. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

84. One QR code for Ticketing System

Author

Arya, Ashima, Juneja, Sapna, and Juneja, Abhinav

Subjects
authentication, event module, real-time app and data base
Abstract

In our day to day routine life,we realize each work is effortlessly done by our cell phones utilizing their applications like shopping, study, online bill installments, business, and so on. Thus, everybody needs rapid and simple to utilize versatile applications that don't hang their telephones or not utilize a lot of extra room or need to take their business on the web. In this paper, the authors have developed two Android Apps as My Event Ticket and My Event Maker by using QR code. These two Apps check all necessities of things everybody needs in their applications like these Apps utilize less RAM, Storage, and Power of the telephone. The three main features of using QR CODE venture is First is utilization of One QR method right now just need their lasting QR code (that is made when the client makes the record right now) this QR Code clients can get the passage in each occasion the main need is the client purchases the ticket for those occasions. The second element of this venture is the utilization of constant database by this kind of database each adjustment in the application is done continuously or the application is quick and work on everybody telephone without giving overwhelming burden to the telephones and the third element of this application utilizes less calculation power on both the server and the customer side.

Published
2020
Full Text
View/download PDF

86. An Approach to DNA Sequence Classification Through Machine Learning: DNA Sequencing, K Mer Counting, Thresholding, Sequence Analysis

Author

Juneja, Sapna, Dhankhar, Annu, Juneja, Abhinav, and Bali, Shivani

Abstract

Machine learning (ML) has been instrumental in optimal decision making through relevant historical data, including the domain of bioinformatics. In bioinformatics classification of natural genes and the genes that are infected by disease called invalid gene is a very complex task. In order to find the applicability of a fresh protein through genomic research, DNA sequences need to be classified. The current work identifies classes of DNA sequence using machine learning algorithm. These classes are basically dependent on the sequence of nucleotides. With a fractional mutation in sequence, there is a corresponding change in the class. Each numeric instance representing a class is linked to a gene family including G protein coupled receptors, tyrosine kinase, synthase, etc. In this paper, the authors applied the classification algorithm on three types of datasets to identify which gene class they belong to. They converted sequences into substrings with a defined length. That ‘k value' defines the length of substring which is one of the ways to analyze the sequence.

Published
2022
Full Text
View/download PDF

89. Kernel Parameter Tuning to Tweak the Performance of Classifiers for Identification of Heart Diseases

Author

Bali, Vikram, Juneja, Abhinav, Dhankhar, Annu, and Juneja, Sapna

Abstract

Medical data analysis is being recognized as a field of enormous research possibilities due to the fact there is a huge amount of data available and prediction in initial stage may save patient lives with timely intervention. With machine learning, a particular algorithm may be created through which any disease may be predicted well in advance on the basis of its feature sets or its symptoms can be detected. With respect to this research work, heart disease will be predicted with support vector machine that falls under the category of supervised machine learning algorithm. The main idea of this study is to focus on the significance of parameter tuning to elevate the performance of classifier. The results achieved were then compared with normal classifier SVM before tuning the parameters. Results depict that the hyperparameters tuning enhances the performance of the model. Finally, results were calculated by using various validation metrics.

Published
2021
Full Text
View/download PDF

90. Multi-Criterion Decision Making for Wireless Communication Technologies Adoption in IoT

Author

Bali, Vikram, Juneja, Abhinav, Juneja, Sapna, and Mahajan, Sudhir

Abstract

There is an unprecedented growth of internet and internet-based technologies in the recent times. We are now switching to 5G as the most recent wireless communication technology. The internet of things has become a blessing for Industry 4.0 by challenging all the existing technologies in its utility for contributing to the industrial growth. There are a lot of wireless communication technologies for IoT, and it becomes difficult choice to select one suitable for an application. Authors have presented multi-criteria decision-making techniques which are very instrumental in making a confirmed decision on the choice of appropriate technology. This choice is done based on a number of deciding parameter which are used to differentiate between all the available options. The authors have identified 11 wireless communication technologies and seven parameters to evaluate the performance of the WCT's. All the seven parameters are considered in ranking and rank matrix is obtained. This technique can be very helpful for application designers so as to choose the right platform for their applications.

Published
2021
Full Text
View/download PDF

91. RESEARCH PAPER ON DETECTION OF ATTACKS IN STATIC WIRELESS SENSOR NETWORKS.

Author

Juneja, Sapna, Singh, Surjeet, and Bali, Vikram

Subjects
WIRELESS sensor networks, DENIAL of service attacks, IDENTIFICATION documents, CYBERTERRORISM, COUNTERTERRORISM, NETWORK routing protocols, CLONE cells
Abstract

Wireless Sensor Network(WSN) is an accumulation of sensors with constrained resources that work together to accomplish a common objective. WSNs are often installed in harsh environments where because of the unattended nature and lack of tamper proof hardware, an attacker can compromise nodes from the network and can replicate these captured nodes to many clones using original node's parameters like unique ID and hence, easily gaining control over the whole sensor network. The proposed clone detection protocol is an efficient approach which easily detects clones in static Wireless Sensor Networks. It is a witnessbased approach where some nodes from the network are randomly selected to increase randomness of the network resulting in increased detection probability of the clones. The proposed approach successfully detects the clones which have forged both unique ID as well as location overcoming the shortcomings of existing approach. [ABSTRACT FROM AUTHOR]

Published
2017
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results