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Papers by Sajeeda Shikalgar

International Journal on Recent and Innovation Trends in Computing and Communication, May 16, 2023

Nucleation and Atmospheric Aerosols, 2023

International Journal of Advance Research and Innovative Ideas in Education, 2019

Theft is being always a biggest threat to the security of the premises which leaves the owner of ... more Theft is being always a biggest threat to the security of the premises which leaves the owner of the premises completely shuttered. This theft is even a curse at the educational organizations where theft of any equipment or any hardware peripherals always creates a havoc to the other students. This theft includes the theft of software and hardware by the known or unknown persons who access the facility on the premises. So to deal with this kind of scenario proposed methodology put forward an idea of providing a security for the data and also to the devices. Proposed model allows the admin of the system to register the students with their images. So as the registered or unregistered student access the computer on the premises then based on the permission given to them, the system will shut down to prevent any data theft. On hardware theft like mouse and keyboard proposed model will raise an alert to inform the admin. This model is deployed using the face detection and recognition usi...

Proceedings of the 4th International Conference on Information Management & Machine Intelligence

International Journal on Recent and Innovation Trends in Computing and Communication

The soil is the most fundamental component for the survival of any living thing that can be found... more The soil is the most fundamental component for the survival of any living thing that can be found on this planet. A little less than 41 percent of Indians are employed in agriculture, which accounts for approximately 19 percent of the country's gross domestic product. As is the case in every other industry, researchers and scientists in this one are exerting a lot of effort to enhance agricultural practices by utilising cutting-edge methods such as machine learning, artificial intelligence, big data, and so on. The findings of the study described in this paper are predicated on the assumption that the method of machine learning results in an improvement in the accuracy of the prediction of soil chemical characteristics. The correlations that were discovered as a result of this research are essential for comprehending the comprehensive approach to predicting the soil attributes using ML/DL models. A number of findings from previous study have been reported and analysed. A state o...

ECS transactions, Apr 24, 2022

EFFLATOUNIA - Multidisciplinary Journal, Sep 13, 2021

2017 International Conference on Advances in Computing, Communication and Control (ICAC3), 2017

Milk distribution and safety is of high concern as it involves the health of 90% of our society. ... more Milk distribution and safety is of high concern as it involves the health of 90% of our society. Our project, milk distribution monitoring system targets the cold chain maintenance and milk spoilage avoidance. The system is based on Internet of Things and data mining. Traditionally milk is supplied in cans with minimum monitoring which may result in milk getting spoiled before its use specially during transportation at any point of time which causes vendors to know about milk spoilage only after the milk has been spoiled completely. To overcome these problems first data mining technique is employed to discover the routing plans so as to generate case-based routing plans for the drivers. Then the existing sensor based system will measure the pH value of milk and determine its quality. The system will direct to nearest milk booth with the highest proximity by using routing technique where data center serves as a cloud server to calculate the costs of a finding the nearest milk booth request, and these costs will be frequently updated by considering the location of van and the total number of milk booth in each areas whose data is accessible any time in the network. This routing algorithm will be used to offer a solution of finding an available milk booth if the PH value deviates from 6.7. This is implemented by a system prototype with wireless access in an open-source physical computing platform based on Ardiuno and using a smart phone that provides the communication and user interface for both the control system and the vehicles to verify the feasibility of the system. It will also give an alert SMS to vehicle driver so that collection of milk can be faster without more spoilage. This way it will maintain good quality and cost effective distribution of milk.

2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021

One of the rising stresses of human life is over prosperity and wellbeing. Undeniably, prosperity... more One of the rising stresses of human life is over prosperity and wellbeing. Undeniably, prosperity and sustenance are one of the huge pieces of life. As such, mechanical progressions to help overhaul and even development prosperity care is key. In this Paper, We will look at changed framework dependent on a couple past assessment work done by significant scientists. By the strategies for that, we can orchestrate the right food as demonstrated by our lifestyle.

Design Engineering, Jul 7, 2021

This paper solves the problem of prevention of asthma attacks, and also it can predict a future a... more This paper solves the problem of prevention of asthma attacks, and also it can predict a future asthma attack based on prevalent asthma triggers. The system forms an opinion of the everyday condition of the user, for example, if the user is doing fine today but might not be fine tomorrow. With the help of neural networks, it is possible to predict precisely and correct the user habits. A user who is not an asthma patient but thinks he may have the disease can also use this system. Monthly reports are generated of every user stating whether the patient's condition has worsened or got better.

2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)

In recent years, Crowd Anomaly detection has become a field of critical importance, especially so... more In recent years, Crowd Anomaly detection has become a field of critical importance, especially so after the recent surge in technological development in the modern era. An increasing number of situations or places require surveillance which is also required to detect anomalies so as to prevent unforeseen accidents. Crowd Anomaly detection usually works by analyzing the surveillance scene in real time using various concepts and techniques such as AI, ML, optical flow analysis, streak flow analysis etc. to identify anomalies in a crowd of people. If an anomaly is found, the relevant authorities are immediately alerted. In this survey paper, few of these methodologies are analyzed by comparing their merits and demerits.

Advances in Intelligent Systems and Computing

As today"s world grows with the technology on the other hand it seems to be small with the World ... more As today"s world grows with the technology on the other hand it seems to be small with the World Wide Web. With the use of Internet more and more information can be search from the web. When Users fires a query they want relevancy in obtained results. In general, search engines perform the ranking of web pages in an offline mode, which is after the web pages have been retrieved and stored in the database. But most of the time this method doesn"t provide relevant results as most of the search engines were using some ranking algorithms like page Rank, HITS, SALSA and Hilltop. Where these algorithms doesn"t always provides the results based on the semantic web. So a concept of Ontology is been introduced in search engines to get more meaningful and relevant results with respect to the user"s query.Ontologies are used to capture knowledge about some domain of interest. Ontology describes the concepts in the domain and also the relationships that hold between those concepts. Different ontology languages provide different facilities. The most recent development in standard ontology languages is OWL (Ontology Web Language) from the World Wide Web Consortium (W3C). OWL makes it possible to describe concept to its full extent and enables the search engines to provide accurate results to the user.

2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), 2015

2016 International Conference on Computing, Communication and Automation (ICCCA), 2016