Jasmeen Gill - Academia.edu (original) (raw)

Papers by Jasmeen Gill

2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021

International Journal for Research in Applied Science and Engineering Technology, 2022

Agriculture and food industry are the backbone of any country. Food industry is the prime contrib... more Agriculture and food industry are the backbone of any country. Food industry is the prime contributor in agricultural sector. Thus, automation of vegetable grading and sorting is the need of the hour. Since, artificial neural networks are best suited for automated pattern recognition problems; they are used as a classification tool for this research. Back propagation is the most important algorithm for training neural networks. But, it easily gets trapped in local minima leading to inaccurate solutions. Therefore, some global search and optimization techniques were required to hybridize with artificial neural networks. One such technique is Genetic algorithms that imitate the principle of natural evolution. So, in this article, a hybrid intelligent system is proposed for vegetable grading and sorting in which artificial neural networks are merged with genetic algorithms. Results show that proposed hybrid model outperformed the existing back propagation based system.

— Wavelength division multiplexing (WDM) is a technology which multiplexes many optical carrier s... more — Wavelength division multiplexing (WDM) is a technology which multiplexes many optical carrier signals onto a single optical fiber by using different wavelengths. Wavelength assignment is one of the important components of Routing and Wavelength Assignment (RWA) problem in WDM networks. In this article, to decrease the blocking probability, a new algorithm for wavelength assignment- Least Used Wavelength Conversion algorithm is introduced and is an enhancement to the previously used Least Used Wavelength assignment algorithm. The performance of this wavelength assignment algorithm is evaluated in terms of blocking probability and the results show that the proposed technique is very promising in future. The Least Used Wavelength Conversion algorithm algorithm is compared with algorithms such as first-fit, best-fit, random and most-used wavelength assignment algorithm. 1.

International Journal of Computer Trends and Technology, 2014

Speech is the medium through which human beings can communicate with each other efficiently. Spee... more Speech is the medium through which human beings can communicate with each other efficiently. Speech synthesis and recognition are two phases of speech. In this paper, focus is given on speech recognition. Speech recognition is the conversion of spoken words into text with the help of some electronic device like computer. A number of methods are available for recognition of speech in different languages using various units like vowels/consonants, words, phonemes, or syllables. No much work has been done in Punjabi language. So, in this Discrete Wavelet Transform method is described for recognition of consonants in isolated Punjabi words.

Driver drowsiness is one of the major causes of traffic accidents. It is a serious highway safety... more Driver drowsiness is one of the major causes of traffic accidents. It is a serious highway safety problem. If drivers could be warned before they became too drowsy to drive safely, some of these crashes could be prevented. In order to reliably detect the drowsiness, it depends on the presentation of timely warnings of drowsiness. To date, the effectiveness of drowsiness detection methods has been limited by their failure to consider individual differences. Based on the type of data used, drowsiness detection can be conveniently separated into th e two categories of intrusive and non-intrusive methods. During the survey, non-intrusive methods detect drowsiness by measuring driving behavior and sometimes eye features, through which camera based detection system is the best method and so are useful for real world driving situations. This paper presents the review of existed drowsiness detection techniques that will be used in this system like Circular Hough Transform, FCM, Lab Color Sp...

Big Data describes a new generation of technologies and architectures, designed to economically e... more Big Data describes a new generation of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of data, by enabling high-velocity capture, discovery, and analysis. Since healthcare services involve huge amounts of data, driven by record keeping, medical reports, notes, compliance & regulatory requirements, and patient care, big data will be a boon to the medical field. This research article highlights various aspects of big data like usability, security and reliability in healthcare services. Apart from this, it provides various analytical tools of big data used in healthcare.

Weather forecasting is the application of science and technology to predict the state of the atmo... more Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Weather foreca sts re made by collecting quantitative data about the current state of the atmosphere on a given place and using sc entific understanding of atmospheric processes t o project how the atmosphere will evolve on that place. Accur ate forecasting is important in today’s world as ag ricultural is largely dependent on weather. Back propagation i ntegrated with genetic algorithm is the most import ant algorithm to train neural networks. In this paper, in order to show the dependence of humidity on a pa rticular data series, a humidity prediction model using inte grated back propagation with genetic algorithm tech nique is proposed. In the proposed technique, the effect of under training and over training the system is also sh wn.

Suitable soil temperature predictions can help the farmers and producers in providing valuable in... more Suitable soil temperature predictions can help the farmers and producers in providing valuable information for deciding the right time for crop cultivation and harvesting. Due to non-linearity in climatic physics, neural networks are suitable to predict these meteorological processes. Back Propagation is the most important algorithm to train a neural network. It is a systematic gradient descent method that suffers from local minima problem, scaling problem, long training times, etc. In this article, an efficient soil temperature prediction model is proposed using neural network based genetic algorithm technique to solve these problems. The results are very encouraging. Index Terms – Neural Networks, Back propagation Algorithm, Genetic Algorithm, Soil Temperature, Hybrid Model.

Human identification by means of gait recognition has proved to be a boon to forensic science as ... more Human identification by means of gait recognition has proved to be a boon to forensic science as well as to medical field. Since it offers the benefit of recognizing a person from a far distance and even with covered face, this technique has changed the vision of community. Gait recognition aims at identifying a person, purely by analysis of the way he or she walks. This article surveys the major milestones in the field of automatic gait recognition. Apart from briefing the major issues, the article also provides description of diverse gait classifiers like artificial neural networks, support vector machines, genetic algorithms, and fuzzy logic.

Automatic Speech recognition and conversion of speech to text is a work which has proved its impo... more Automatic Speech recognition and conversion of speech to text is a work which has proved its importance for decades. A lot of work has already been done in this contrast. This paper focuses on the category of the emotion of Punjabi speech and the conversion of speech to text using advanced system voice recognition pattern. This paper also focuses on the optimization of the EEMD process by combining EEMD process with the Neural Network. Neural Network has been found to be friendly in the contrast of compounding different algorithms to it and it produces significant results. This paper also focuses on the future works to be considered in the same field. © 2014 Elixir All rights reserved ARTICLE INF O Articl e h istory: Received: 10 February 2014; Received in revised form: 6 June 2014; Accepted: 12 June 2014;

Agriculture and food industry are the backbone of any country. Fruit industry is the prime contri... more Agriculture and food industry are the backbone of any country. Fruit industry is the prime contributor in agricultural sector. Thus, automation of fruit grading and sorting is the need of the hour. Since, artificial neural networks are best suited for automated pattern recognition problems; they are used as a classification tool for this research. Back propagation is the most important algorithm for training neural networks. But, it easily gets trapped in local minima leading to inaccurate solutions. Therefore, some global search and optimization techniques were required to hybridize with artificial neural networks. One such technique is Genetic algorithms that imitate the principle of natural evolution. So, in this article, a hybrid intelligent system is proposed for fruit grading and sorting in which artificial neural networks are merged with genetic algorithms. Results show that proposed hybrid model outperformed the existing back propagation based system.

Today, computer science is increasingly involved in agricultural and food sciences. Various artif... more Today, computer science is increasingly involved in agricultural and food sciences. Various artificial intelligence and soft computing techniques are used to classify plants and detect defects to provide a better quality product to the final consumer. This article focuses on advances in automatic plant classification using soft computing techniques. Various ANN, CNN, PNN as well as Heuristic and meta heuristic optimization techniques are reviewed for plants classification. There are several meta-heuristic optimization algorithms developed on inspiration from nature. The review of Neural networks like ANN, CNN, PNN as well as some of the hybrid artificial neural networks with optimization methods like Genetic Algorithm (GA), Ant Bee Colony (ABC), Differential Evolution (DE), Group Search Particle Swarm Optimization (GSPSO), Firefly method, etc. are applied for benchmark data sets and to specific real-time experiments for plants classification are discussed.

2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021

In general, data mining is considered as a method utilized for mining the valuable data from the ... more In general, data mining is considered as a method utilized for mining the valuable data from the available rough data. The futuristic outcomes are forecasted by utilizing the recent information in the prediction analysis. This research work deals with heart disease prediction. The proposed research work introduces several steps for heart disease prediction. The RF and DT based hybrid scheme is introduced and later the features are abstracted using RF. The implementation of DT is done for classification. The performance analysis helps to acquire accuracy, precision and recall of the recommended model. The proposed model has obtained an accuracy of about 94.44%.

Advances in Data and Information Sciences, 2018

Since ages, agricultural sector plays an important role in the economic development of a country.... more Since ages, agricultural sector plays an important role in the economic development of a country. In recent years, industries have started using automated systems instead of manual techniques for quality evaluation. In agriculture field, grading is very necessary to increase the productivity of the vegetable products. Everyday a huge amount of vegetables are exported to other places and earn a good profit. So, quality evaluation is important in terms of improving the quality of vegetables and gaining profit. Traditionally, the vegetable grading and classification were done through manual procedures which were error prone and costly. Computer vision-based systems provide us such accurate and reliable results that are not possible with human graders/experts. This paper presents a vegetable grading and sorting system based on computer vision and image processing. For this work, tomatoes have been used as a sample vegetable. A total of 53 images were acquired using own camera setup. Afterward, segmentation using Otsu’s method was performed so as to separate the vegetable from the background. The segmented images, thus obtained, were used to extract color and shape features. At last, grading and sorting were performed using backpropagation neural network. The proposed method has shown an accuracy of 92% and outperformed the existing system.

International Journal of Computer Applications, 2016

Automatic teller machine (ATM) is one of the most popular banking facilities to do daily financia... more Automatic teller machine (ATM) is one of the most popular banking facilities to do daily financial transactions. People use ATM services to pay bills, transfer funds and withdraw cash. Accurate ATM forecasting for the future is one of the most important attributes to forecast because business sector, daily needs of people are highly largely dependent on this. In recent years, Neural Networks have become increasingly popular in finance for tasks such as pattern recognition, classification and time series forecasting. Every financial institution (large or small) faces the same daily challenge. While it would be devastating to run out of cash, it is important to keep cash at the right levels to meet customer demand. In such case, it becomes very necessary to have a forecasting system in order to get a clear picture of demand well in advance. In this research article an integrated BP/GA technique is proposed for accurate ATM forecasting. The results are very encouraging. The comparison of proposed technique with the previous one clarifies that the proposed model outperforms the previous models.

Computer Science & Information Technology ( CS & IT ), 2013

Rainfall is considered as one of the major components of the hydrological process; it takes signi... more Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have an accurate model for rainfall prediction. Recently, several data-driven modeling approaches have been investigated to perform such forecasting tasks as multilayer perceptron neural networks (MLP-NN). In fact, the rainfall time series modeling (SARIMA) involvesimportant temporal dimensions. In order to evaluate the incomes of both models, statistical parameters were used to make the comparison between the two models. These parameters include the Root Mean Square Error RMSE, Mean Absolute Error MAE, Coefficient Of Correlation CC and BIAS. Two-Third of the data was used for training the model and One-third for testing.

Nowadays computer science is getting more and more involved in agricultural and food science. Var... more Nowadays computer science is getting more and more involved in agricultural and food science. Various AI and soft computing techniques are used for fruit classification and defect detection to provide better quality product at the consumer end. This article focuses on the advances in automatic fruit classification using soft computing techniques for ten types of fruit viz. apple, dates, blueberries, grapes, peach, pomegranate, watermelon, banana, orange, and mango. Keywords— Automatic Fruit Classification, Soft Computing, Image Processing, Neural Networks, Fuzzy Logic.

International Journal of Image and Graphics

Image enhancement and segmentation are the two imperative steps while processing digital images. ... more Image enhancement and segmentation are the two imperative steps while processing digital images. The goal of enhancement is to improve the quality of images so as to nullify the effect of poor illumination conditions during image acquisition. Afterwards, segmentation is performed to extract region of interest (ROI) from the background details of the image. There is a vast literature available for both the techniques. Therefore, this paper is intended to summarize the basic as well as advanced enhancement and segmentation techniques under a single heading; to provide an insight for future researches in the field of pattern recognition.

International Journal of Intelligent Systems Technologies and Applications

Temperature prediction is a temporal and time series based process. Accurate forecasting is impor... more Temperature prediction is a temporal and time series based process. Accurate forecasting is important in today's world as agricultural and industrial sectors are largely dependent on the temperature. Due to non-linearity in climatic physics, neural networks are suitable to predict these meteorological processes. Back propagation integrated with genetic algorithm is the most important algorithm to train neural networks. In this paper, in order to show the dependence of temperature on a particular data series, a time series based temperature prediction model using integrated back propagation with genetic algorithm technique is proposed. In the proposed technique, the effect of under training and over training the system is also shown. The test results of the technique are enlisted along with.