Dr.PRIYADHARSHINI MUTHUKUMAR
@priyadhm3@srmist.edu.in
Assistant Professor
Dr.M.PRIYADHARSHINI
EDUCATION
Doctrate of Philosophy
RESEARCH INTERESTS
GraphTheory
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
E. Dhanalakshmi, P. Rajesh, S. Suresh, M. Priyadharshini, and M. Prabhaharan
Elsevier BV
C. Prabhu, P. Rajesh, E. Dhanalakshmi, T. Gnanasambandan, and M. Priyadharshini
Elsevier BV
D. Kavitha, M. Priyadharshini, R. Anitha, S. Suma, V. Prema, and A. Vidhya
Springer Science and Business Media LLC
M. Priyadharshini, S. Shakeel Ahamed, Balaji Devarajan, and Jubair Ahmed
AIP Publishing
Devarajan Balaji, M. Priyadharshini, B. Arulmurugan, V. Bhuvaneswari, and S. Rajkumar
CRC Press
Cheemaladnne Vengaiah and M. Priyadharshini
IEEE
India’s most popular vegetable crop is tomatoes, but despite the tropical climate, tomato plant growth is affected by The circumstances of weather and other factors. Plant disease, along with natural calamities, is a major cause of economic losses due to their effects on agricultural productivity. The time and accuracy of conventional disease detection methods for tomatoes has long been unacceptable. Early disease monitoring, identification, and classification are crucial to addressing this issue, and deep learning has emerged as the preferred approach for automated object recognition and detection. Convolution Neural Networks (CNNs) have found widespread application in object detection, including the identification of tomato leaf disease. The literature ranks ResNet-101, VGGNet, AlexNet, LeNet, and Google Net as the top five CNN models for tomato leaf disease detection, based on a dataset of 10 distinct disease classes. VGGNet and ResNet-101 were implemented and analyzed, and it was observed that ResNet-101 achieved higher accuracy than VGGNet in most of the evaluated criteria.
D. Kavitha, A. Vidhya, V. Prema, M. Priyadharshini, G. Kumaresan, and G. Sangeetha
Wiley
AbstractIn the field of prevalent computing, human living becomes smart with the recent developments on the IoMT, telecommunication methods and wearable sensors to provide smart healthcare systems. The IoMT plays a significant role in decreasing the mortality rate through the early recognition of disease. The prediction of the disease is the key problem in medical database analysis. In this paper, the novel smart healthcare structure for observing the physical actions of the matured people with the help of the IoMT and deep learning algorithms are utilized for quicker examination and improved treatment suggestions. The data is gathered from several wearable sensors positioned on the person's chest, right arm and left ankle is broadcasted via the IoMT gadgets to the merged cloud as well as the data analysis layer. The complex‐valued deep convolutional neural network with an improved political optimizer (CDCNNIP) approach perfectly suits the MapReduce model is employed for identifying the movement practiced by various body portions, which offer high flexibility and improved performance when compared to other classifiers. The accuracy of the complex‐valued deep Convolutional neural network is enhanced using the improved political optimizer (IPO). The proposed structure detects 12 physical actions and produces an accuracy of 98.5%. This highest‐value accuracy is considered as the best solution for the identification of physical actions hence observing the medical settings of the aged people.
M. Priyadharshini, D. Balaji, V. Bhuvaneswari, L. Rajeshkumar, M. R. Sanjay, and Suchart Siengchin
Springer Science and Business Media LLC
C. Deepa, D. Balaji, V. Bhuvaneswari, L. Rajeshkumar, M. Ramesh, and M. Priyadharshini
Wiley
Priyadharshini M and Balaji Devarajan
Desalination Publications
Desalination a primary technique to overcome the issue of water scarcity is currently the focus of the research community. One of the challenging issues faced concerning the basic needs of man kind is water scarcity and the world can never say no to water, as it is an elixir of life. South Africa’s “Day Zero” insists on the need for water preservation as well as the effective utilization of water. Reduction of wastage though serves as one of the ways to overcome the water scarcity, the genera - tion of water effectively from the enormous saltwater available is the ultimate choice. The research er’s focus is currently on improving the efficiency of desalination and hence the conversion rate. This proposed analysis focuses on consolidating the existing artificial intelligence based desali nation techniques as well as forecasting the significance and outcome of those techniques with the aid of patent landscape analysis, which proves to be the novel part of this article as well.
V Narmadha, Priyadharshini. M, Varsha S, and Amothini A
IEEE
There has been tremendous growth in of vehicles a road in the past few years. But sadly the road networks and road widths haven't fully grown in proportion to vehicle numbers. This has created an enormous parking crisis, particularly in urban areas. At such times good garage systems are helpful for individuals to park their vehicles. The users can use our online web application, exploitation that they'll understand the provision of the parking slot on the economical associates degreed sensible because of neutering the management of the parking system that allocates a cheap automobile parking zone employing a net of things technology. The IoT provides wireless access to the system and additionally the user can keep a track of the supply of the parking area. With an increase within the population of vehicles in metropolitan cities, road congestion is that the major downside that's being faced. The user sometimes wastes his time Associate in nursing efforts in search of the supply of pub in an passing fixed parking area. because the user enters the park they must show the message during which they received from the website. In which the message contains booked verification, booked Slot Number In this way, this good parking system will facilitate cutting back human effort & time by exploiting automation technology. The parking data information is delivered to the user through a notification. In this way, the user's waiting time when looking for a parking space for his car is minimized.
Ishwarya Varadarajan, Thanuja Babu, Priyadharshini M, and P. Nivedhitha
IEEE
We cannot function without electricity in our daily life. After declining by 4.5% in 2020, global energy consumption grew by 5% in 2021. The majority of countries had increases in their energy consumption, including +5.2% in China, +4.5% in India, and +4.7% in the EU. Energy monitoring is a highly important chore that eventually gets out of control. The meter reading must be known by the consumer because it will be used to determine how much will be charged for the withdrawal. By examining the readings from the energy meters and transmitting the analysis to the concerned consumer online, this project automates the framework. This project system utilized trackers to collect and protect data on energy consumption. It also included a microcontroller with an energy meter. Each appliance in the home has an energy meter that the tracker secures. Using the GSM module, data is used to communicate the consumed units and amount charges through the online portal so that the client can view the energy consumption. Customers can firmly monitor their daily energy consumption thanks to this.
M. Ramesh, L. Rajeshkumar, D. Balaji, and M. Priyadharshini
Springer International Publishing
S. Suthagar, K. S. Tamilselvan, M. Priyadharshini, and B. Nihila
Springer Singapore
Priyadharshini M and Sam Chelladurai S
Asian Research Association
A method is proposed for assessing best mix ratio for concrete printing. The obtained mix which is indented to flow via a nozzle for building a layer upon layer construction structures. The printing method consists of a gantry system which can be controlled with the help of a digital computer. This method is nowadays used for building structural and architectural components. Thus the traditional form work is avoided. Buildability and Extrudability are some of the important flow concrete properties That have to be considered and the relationship with Workability is evaluated. This property depends on the mix ratio and the quantity of admixtures like superplasticizer, polypropylene fibers and silica fume. Hydrated sodium silicate is also added for quick settlement which is essential for the layer by layer process.
V. Bhuvaneswari, M. Priyadharshini, C. Deepa, D. Balaji, L. Rajeshkumar, and M. Ramesh
Elsevier BV
Suparth Jain, Abhishek Kumar, and Meena Priyadharshini
IOP Publishing
by 2050, 70% of the world population is estimated to migrate toward the city, covering just 2% of the earth’s surface. This leads to many issues, and traffic congestion is one among them. To continue to serve and improve the life of the growing population, it is mandatory to develop an advanced medium to avoid risks which are likely to occur as a result of overcrowded traffic. Our motive is to develop an autonomous vehicle to free human drivers and thus increasing their safety. The Self-driving autonomous vehicles have intensely become one of the great discovery in the field of technology. Different technologies like deep learning, Artificial Intelligence (AI), etc. are merged with each other and with the smart sensors (SS) to develop this self-driven autonomous vehicle. Computer Vision and Deep Learning techniques are applied to build an automotive related algorithm. This project uses Computer Vision Techniques to identify lane lines on a road and also able to identify 40+ different traffic signals. In this project, we will explore the smart city (SMC) concept and propose a strategy development model that will mitigate the traffic concern issues by implementing traffic management system (TMS) using SS network in a SMC context.
V. Sakthivel, R. Mythreagi, and M. Priyadharshini
IEEE
In this paper, we make a outline of monitoring tools for big data frameworks. A hot topic for research in recent years is manipulation of big data and their management. The focus on these topics is due to the problems that are posed by the manipulation of big data as well as the potential that they expose for obtaining better results. However, in order to effectively make, assess and setup new procedures or functions needs appropriate monitoring tools. In this paper we intend to crate a outline of monitoring tools existing on the market.
T. Preethi, M. Priyadharshini, and V. Sakthivel
IEEE
Digital image forensics is a term with different contexts and meaning. The term image forensics is used to designate the survey of the originality of the image file, asses the presence of forgeries and to identify the device in which the picture was occurred. Digital image forensic method is used to maintain image authentication. Image authentication is an accurate representation of the original image. Verification could be fined to ensure digital contents usually pictures and forgeries can be eliminated by using image classification. DCT is used to detect the source of the images from different social networks. For this purpose, an asset of image characterization is defined to determine the origination of digital camera. Interpolation or filtering technologies can be used to eliminate the noise. There by grouping of images enables finding forgeries in the social network. The proposed technique is used to find out traces of the image from the corresponding social networks and such traces can be discovered to identify the platform of the image. Using existing method, it is possible to determine the origin in the social network. Whereas, the further process can be used to find the original JPEG image and it can be converted to give the same quality when it is uploaded on the social network.
M. Ramya Priyadharshini, S. Prasanna, and N. Balaji
IEEE
Mobile ad hoc network is an effective networking system which facilitates exchanging data between wireless devices, without the support of wireless access points and base stations. Providing secure communication is a major research avenue in MANETs because of the dynamic topology due to mobility and energy constraint. To ensure security ID - based key management was introduced. Most of the existing systems have provided various key management schemes like ID - based multiple secret key with threshold cryptography, Hierarchical Identity Based Key management, Cluster Based Identity Management etc. Though these schemes are efficient in providing security, the energy consumption is high. This leads to the need of an energy proficient key management method. Our proposed scheme EMBGK - Energy and Mobility based Group Key Management scheme concentrates in: 1) Cluster Formation 2) Link Stability 3) Mobility Prediction and 4) Group Key Management. The individual node properties are verified and the nodes are organized into clusters based on their transmission range. The mobility is predicted based on the previous positions of the node. Using all this, an optimized method is implemented for the cluster head election and cluster formation. The proposed scheme saves time and energy for frequent cluster updations and key updations. To preclude the non-group memberships from interpreting the data, complex key called Group Key is being generated. The secrecy of the group key is being maintained. Group key avoids the issue of certificates and third party involvement. Frequent updations, the possibility of key hacking and exchanging certificates are being reduced. The results show that the throughput, life time of the nodes, link stability is increased with minimum consumption of energy. Our proposed scheme also reduces overhead, end-end delay, jitter and packet loss. The number of key updations is being reduced in our proposed system as the mobility is predicted and link stability is maintained.