Papers by pratistha mathur
Secure Electronic Fund Transfer Model based on Two level Authentication
2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)
An Exponential growth of the high-speed internet has resulted in the rapid growth in online marke... more An Exponential growth of the high-speed internet has resulted in the rapid growth in online marketing. Online shopping provides the services to online shoppers as well as walk-in shoppers. However, security is the main concern in e-commerce in order to safeguard the confidential information, from online fraud, i.e. credit card or debit card fraud, leakage of information by the merchant or bank when a card is not used in online transaction etc. This paper proposed the two-way authentication technique modeled around visual cryptography and steganography techniques to protect the e-commerce fraud. The technique provides better security in term of authentication, identity theft and data transfer.
Paradigms of Image Compression and Encryption: A Review
2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)
Image compression is a process of reducing size of an images at the time of transmission and at n... more Image compression is a process of reducing size of an images at the time of transmission and at network level we also need some security mechanism for secure data transmission assurance. To provide data security we need a best encryption method for an image so that it does not affect image quality. The image compression schemes are of two types lossy and lossless or combination of both. The both (lossy and lossless) compression schemes can compress and decompress the image but some time compression made some loss of data so it is lossy otherwise lossless. To provide security as we know perform encryption and decryption process, there are two methods for key generation one is symmetric and other asymmetric. If we use same key for encryption and decryption i.e., known as symmetric system otherwise asymmetric cryptography system.In this paper, a detailed review of different Compression and Encryption schemes like CE, EC, Joint compression and Encryption is given and we also analyzed their result on the basis of different parameter like compression ratio, PSNR, NPCR, UACI etc.
PACT - Programming Assistant ChaTbot
2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)
Programmers face situations where they have to rely on messy documentation, other developers and ... more Programmers face situations where they have to rely on messy documentation, other developers and online search for basic programming commands and queries when they encounter any new programming environment. This leads to the waste of time of developers and decreases productivity. In this paper, we present, “PACT”, a chat bot which assists the programmers with basic programming queries that they face when they are new to a programming environment. We use Neural Machine Translation architecture to generate coherent, non-rule based responses to a programmer’s query. The data that is fed to the neural machine translation model is collected from websites like StackOverflow, technical sub-reddits and technical StackExchanges.
Medical image fusion by sparse-based modified fusion framework using block total least-square update dictionary learning algorithm
Journal of Medical Imaging
Analysis of dictionary learning algorithms for image fusion using sparse representation
2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)
Sparse Representation is a useful signal modeling technique. In recent years, researchers have ex... more Sparse Representation is a useful signal modeling technique. In recent years, researchers have explored the applications of sparse representation in different domains. This representation technique has many applications in image processing like image fusion, noise removal, image impainting, image super-resolution, compress sensing, etc. and signal processing. A predefined dictionary is used in the traditional approach of sparse representation, but it has many drawbacks like visual artifacts and high computational cost. To overcome these conditions and drawbacks, instead of using a predefined and redundant dictionary another option is to generate a dictionary from the set of images or the input images itself. This paper analyses the dictionary learning algorithms for the process of image fusion with different image pairs using sparse approximation or representation.
An Attention Mechanism and GRU Based Deep Learning Model for Automatic Image Captioning
International Journal of Engineering Trends and Technology
Machine Learning Approaches to Predict Crop Yield Using Integrated Satellite and Climate Data
International Journal of Ambient Computing and Intelligence, 2022
India is the second-largest producer of wheat crop. Timely and appropriate prediction of wheat cr... more India is the second-largest producer of wheat crop. Timely and appropriate prediction of wheat crop yield is essential for global and local food security. This research work has integrated multiple source data to predict crop yield across the Rajasthan state of India using lasso regression, support vector machine, random forest regression, and linear regression for crop yield prediction. This study used multiple vegetation indices (enhanced vegetation index, normalized vegetation index, soil adjusted vegetation index, chlorophyll vegetation index, and normalized difference water index). The results indicated that integrating multiple source data improves the model performance for all the machine learning models. Satellite data contributed additional information to the crop yield prediction than other data variables, and SAVI achieved better performance than other vegetation indices. We found that the support vector machine outperformed all the other approaches. The present study is ...
Real time traffic signal control using fuzzy logic controller: Review
2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), 2017
Traffic signal control system is now become very challenging task. It is necessary make road traf... more Traffic signal control system is now become very challenging task. It is necessary make road traffic decent, safe, less time and fuel consuming. There is a requirement to improvise the traffic signal control for better traffic control. In past few years traffic control system handles such a situation but not that much effectively because they are static. There should be a system which should be dynamic in nature so that it can handle traffic easily. This system gives improvement in the performance of traffic intersections control. This paper provides overview of fuzzy logic control system used for better control of flow of traffic ß at every road intersection.
Performance analysis of frequency domain based feature extraction techniques for facial expression recognition
2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence, 2017
Facial Expression Recognition is a vital topic for research in current scenario which has many ap... more Facial Expression Recognition is a vital topic for research in current scenario which has many applications as machine based HR interviews and human-machine interaction. Facial Expression recognition is applied for identification of person using face of a person. Researchers have proposed many research techniques for facial expression recognition but still accuracy, illumination and occlusion are the research issues which have to improve. Key Research issue of facial expression is improving the accuracy of system which is measured in term of recognition rate. Feature extraction is the main stage on which accuracy depends for facial expression recognition. In this paper we have analyzed different feature extraction technique in frequency domain as Discrete Wavelet Transform, Discrete Cosine Transform feature extraction technique, Gabor filter and different feature reduction technique developed so far and future aspects.
Highly Secure DWT Steganography Scheme for Encrypted Data Hiding
Information and Communication Technology for Intelligent Systems, 2018
Steganography is an application for concealed writing. Nowadays, development in the field of elec... more Steganography is an application for concealed writing. Nowadays, development in the field of electronic media demands highly secure data transfer between computers over the globe. There is a pressing demand to send the secret information in the hidden form. Conceal writing is an ultimate feature of steganography which fulfills this demand. In general; a robust steganography scheme should have better visual imperceptibility of the hidden information with sufficient payload. In this paper, a steganography method based on cryptography is proposed. The proposed scheme uses two processes; first, encrypt the secret plaintext (PT) message followed by secret image generation from this encrypted message. Second, hide this secret image into the cover image using Daubechies discrete wavelet transform operation followed by mixing operation. After performing the Daubechies inverse discrete wavelet transform (IDWT) process, we get the stego image. Stego image visual quality is increased by using ...
Gazetteer Method for Resolving Pronominal Anaphora in Hindi Language
Anaphora processing has been an active topic of research in the field of computational linguistic... more Anaphora processing has been an active topic of research in the field of computational linguistic. At present, resolution of anaphoric reference is one of the most challenging tasks of natural language processing domain. Most of the NLP applications such as machine translation, information extraction, question answering system, automatic summarization etc require successful resolution of anaphora. This paper focuses on pronominal anaphora resolution for Hindi Language using Gazetteer method. We have developed a model that performs pronominal anaphora resolution task for Hindi Language. There are few salient factors among which this model uses Recency factor as the baseline factor. Animistic knowledge is introduced to the model which forms the criteria of classification of different nouns and pronouns. In this paper we demonstrate three experiments conducted on different data sets containing 10 to 30 sentences in Hindi Language along with its summarized result and future directions.
Cochlear Implant (CI) is the technology, which provides solutions for different types of hearing ... more Cochlear Implant (CI) is the technology, which provides solutions for different types of hearing loss. There is different challenges face by the designers of Cochlear implant in developing signal processing techniques so that can provide the voice which function like normal cochlea of inner ear. This paper discusses various signal processing and neural network techniques used for processing speech data in CI in chronological order of development. The paper also reviews the existing CI devices, their development and techniques used for speech processing in existing CI devices. Wavelet analysis, PET, fMRI are a few techniques used for feature extractions, ambient noise removal and spectral estimation. There are also various other techniques which we will be discussing here. We will also be discussing the development of some environment-specific noise suppression algorithms. Even though there have been some developments in the field of cochlear implant this is an area that is seeing ra...
Breast Cancer Prediction on BreakHis Dataset Using Deep CNN and Transfer Learning Model
Data Engineering for Smart Systems, 2021
A Survey on Various Deep Learning Models for Automatic Image Captioning
Journal of Physics: Conference Series, 2021
Automatic Image captioning means the generation of a caption for an image by a machine. Image cap... more Automatic Image captioning means the generation of a caption for an image by a machine. Image captioning is performed by recognizing objects, attributes and interconnection between them. This task involves computer vision for image understanding, natural language processing for syntax and semantics purpose and machine learning for caption generation. Preferably CNN is used to understand features of an image and RNN is used for sentence generation. Earlier, Machine learning approach was used for this purpose. Input data is used to extract the features in traditional machine learning. Extracting features like handcrafted from large dataset is not so easy and feasible. Later on, Various deep learning-based approaches were proposed. In deep learning, retrieval based and template-based methods were proposed but faced some issues like missing important objects and fixed length caption respectively. Then end to end learning approach based on deep learning network came into existence and im...
Satellite-based Crop Yield Prediction using Machine Learning Algorithm
2021 Asian Conference on Innovation in Technology (ASIANCON), 2021
Agriculture is the backbone of India's economy as 70% of the population's household is de... more Agriculture is the backbone of India's economy as 70% of the population's household is dependent on agriculture. Crop yield prediction is a crucial step for food security, market planning, and yield mapping. Machine learning with remote sensing has shown magnificent results for crop yield prediction. In this research, the authors implemented machine learning techniques along with the remote sensing data to extract features. Support Vector Machine and K-Nearest Neighbor- techniques have shown outstanding results - are implemented to predict the crop yield using remote sensing data. Authors focused on distinguish parts of a satellite image based on the vegetation for a few months and then finding the relation between their Normalized Difference Vegetation Index values and vegetation similarly, and also found out that vegetation of the same crop field varies over the months and on further computations, we can predict the crop growth in that particular area. For this research, K-Nearest Neighbor outperformed Support Vector Machine.
Challenges Related to Cochlear Implant
Computing and Network Sustainability, 2019
Cochlear implant (CI) is a solution to the people who are hearing impaired. With the CI, they can... more Cochlear implant (CI) is a solution to the people who are hearing impaired. With the CI, they can imagine their world with voice. Lots of technical advancement has been done in this area, and still, there are some shortcomings with it. This paper focuses on the challenges which were faced by person equipped with CI in their daily routine life due to technological and different kinds of gap. This paper discusses the basic requirements in the form of hardware and software which are useful and which are difficult for them. In this paper, besides the technical challenges we also include certain social challenge which affects the social life of CI users. 
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Papers by pratistha mathur