Manoj Kambli
@kjsce.somaiya.edu
assistant professor ,Computer department
K.J.Somaiya College of Engineering
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Agronomy and Crop Science
Scopus Publications
Scopus Publications
Mansi Kambli and Bhakti Palkar
Springer Nature Singapore
Harshit Jain, Kashish Harisinghani, Shubh Gangar, and Mansi Kambli
IEEE
Hand recognition using OpenCV is a burgeoning field with several applications, including virtual environment control, sign language translation, robot remote control, and musical composition. One such application is gesture recognition, which allows users to practically create anything on the screen by simply using their hands. Another exciting function that is prevalent is searching by image. The concept behind searching by image is to take a picture as an input and generate metadata from it that may be used later. In this paper, integration of both the aforementioned methodologies is done to produce an application in which a user may draw any image using numerous hand motions that are captured by the user's webcam. This image is then processed by an image recognition algorithm, which generates metadata that may be used to search for the entity depicted in the image.
Ankit Thakker, Nikhil Namboodiri, Ritik Mody, Riya Tasgaonkar, and Mansi Kambli
IEEE
For many years, lossless image compression has been a promising topic of study. Various techniques have been created over time to obtain an approximation of the reduced data size. While discrete wavelet transform (DWT) and discrete cosine transform (DCT) have historically been employed for the purpose of compressing images, various machine learning methods and deep learning networks are now being offered. In this research, we conduct a comparative analysis of conventional and contemporary lossy image compression techniques on the Kodak Dataset, including Autoencoders, Principal Component Analysis (PCA), K-Means, and Discrete Wavelet Transform (DWT). The metrics used for the evaluation of the proposed study are Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), and Structural Similarity Index (SSIM).
Neha Patil, Ojas Kulkarni, Vineeta Bhujle, Aniket Joshi, Khushi Khanchandani, and Mansi Kambli
IEEE
Bloom’s Taxonomy is an effective tool to provide a common language for teachers to discuss and exchange learning and assessment methods. It is a classification system used to define and distinguish different levels of human cognition–i.e., thinking, learning, and understanding. Currently, academicians identify Bloom’s taxonomy cognitive level manually, but that is a tedious and a time-consuming task. Several studies have been carried out to automate this task, but most of them focus on keywords which can often overlap and fail to understand semantic structure of sentences. This paper aims to propose a question classification model which uses an ensemble approach by combining support vector machines, k-Neural Networks and Naive Bayes algorithm. Feature extraction is done using TFPOS-IDF to assign more weights to verbs in questions and convert text into a matrix (or vector) of features. The ensemble then applies a hard voting algorithm on the output of above classifiers. The application then helps academicians generate different question papers in accordance with Bloom’s Taxonomy.
Poonam Chawda, Arvind Sridhar, Arvind Gyandatt Mishra, Heeral Dedhia, Mansi Kambli, and Sushma Kadge
IEEE
Many people across the world are disabled due to accidents, wars, diseases, and natural disasters. A large population of the world is suffering from various motor disabilities and is not able to have voluntary control over muscular activities. The number of disabled people is significantly rising so there arises a need for innovation to make them self-reliant. Brain-computer interfaces (BCIs) are widely used for various home appliances, and intelligent wheelchairs. But conventional BCI systems with single type of input signals are not reliable and less accurate. To overcome this problem, hybrid BCI system-combining EEG and EOG is developed. Thus the proposed research work has designed and manufactured a motorized wheelchair that is lighter, cost-effective, and controlled using a Hybrid EEG-EOG based BCI. The wheelchair has been tested in an indoor environment and it functioned efficiently.
Pooja Ghule and Mansi Kambli
IEEE
Nowadays people are very concerned about the environment because of the rapid changes in the environment which will harm to human health. Hence it is necessary to monitor environment where the people spend more time like at home, office, industry, any working area in real time and long term manner. Using internet of things we can control system as well as we can access system remotely using IoT. It first take information with help of different sensors and transfer sensors values on thingspeak directly, from which can be accessed at anytime and anywhere. Literature survey is done on use of wireless sensors, Cloud and Internet of things, and connection between devices with sensors and network connection will read sensor value which can be further monitored from the internet with the help of thingspeak. Monitoring environment is done through website & controlled manually and automatically by detecting sensor values. We can controlled it manually through website and it can automatically controlled by sensing values. The main Objective design of cloud storage environment is used to store data and to process the data. Internet of things allows physical devices or things which are not computer system, that only act very smartly and makes collaborations decision which are beneficial for different applications. That application allow things to capture value of devices. They transfer “things from being passively computing” and makes an individually decisions in active manner and communicate and collaborate to form single difficult decision. IoT technologies of computing, embedded sensors, communication protocol and internet protocol for communication allow internet of things to provide significant which impose number of challenges and introduces standards which require to specialize and communication