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1st International Conference on Cognitive Computing and engineering Education, ICCCEE 2023

作者： Sharma, Ashish Bhardwaj, Diwakar GLA University Department of Computer Engineering Applications Mathura India

ISBN: (纸本)9798350332803

In this article wireless Network environment using EDAS method. Wireless social environment Dynamic cellular connection or roaming enables the process of accessing the social connection of a cellular device from one person to another. This is a completely specific element in the Wi-Fi environment. The Wi-Fi environment is an innovation in the technology of LED lighting gadgets that enhances the overall performance of light-emitting diode (LED) lamps in off-grid lighting schemes. Their business enterprise products and technology provide specific solutions for handling off-grid and rancid-grid lighting gadgets. After that, the Wi-Fi router receives the signal. There is also a router that sends facts to the Internet using a compressed Ethernet connection. Wireless networks are described as two or more computers that use the popular protocol, although Wi-Fi neighbourhood networks (WLANs) have the same configuration as conventional Ethernet pressure networks without the use of network cabling. However, unlike cables, WLANs use infrared or radio frequency generation to transmit information across the network. Businesses typically use Wi-Fi networks locally or make continuous connections over a wired network. The entry point for delivery is Wi-Fi, equivalent to a LAN hub. It is a small object that uses a connector to connect different components of your compressed LAN. Access points capture and send information from anywhere via Wi-Fi devices. They can deal with unique connections between special devices, although they all talk to each other at the same time, but bigger gadgets get the right one to add factor, and they work slower. To gain access to the component and Wi-Fi network card, multiple access rights may be required to create configurations depending on the range and composition of the walls or floor. We are taken as Cost per Byte, Total Bandwidth, Allowed Bandwidth, Utilization, Packet delay, Packet Jitter and Packet Loss are Alternatives. We are taken as VoIP (p

关键词： Wi-Fi

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Analysis of Feedback and Re-Circulating Buffer Based Optical Packet Switch 1

Analysis of Feedback and Re-Circulating Buffer Based Optical...

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1st International Conference on Advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Sinha, Amit Bhardwaj, Diwakar Shukla, Vaibhav Computer Engineering &Applications GLA University Mathura India Tech Mahindra Mumbai Mumbai India

ISBN: (纸本)9798331518578

In optical packet switching (OPS), contention is major phenomenon where more than one packet tries to occupy the same output port. This paper introduces a new design for an optical packet switch based on hybrid buffering strategy. In this hybrid scheme both Feedback and Re-Circulating buffers are used to hold the contending packets. OPS is a latest transmission technology which is based on the optics and provide high bandwidth and very low latency. However, as the traffic conditions varies continuously, therefore a key challenge is to design buffering strategy. In this study, we explore how combining the benefits of both Feedback and Re-Circulating buffers can improve the overall performance of OPS. The performance of the switch is measured in terms of packet loss probability. By looking at packet loss and buffer usage under different traffic conditions, main aim to understand the impact of this hybrid approach. Our results show that using both types of buffers in the same switch leads to a lower chance of packet loss, improving the overall network performance. We found that the proposed design performs better in terms of packet loss probability compared to other approaches. © 2025 IEEE.

关键词： Packet loss

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Handcrafted Feature-Based Fingerprint Presentation Attack Detection

Handcrafted Feature-Based Fingerprint Presentation Attack De...

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2024 International Conference on Intelligent Systems for Cybersecurity, ISCS 2024

作者： Uttam, Atul Kumar Agrawal, Rohit Jalal, Anand Singh Gla University Department of Computer Engineering and Applications U.P. Mathura India

ISBN: (纸本)9798350375237

To distinguish between genuine and fraudulent fingerprints, this paper introduces a feature-based approach for effectively classifying fake and live fingerprints. The suggested approach uses texture extraction techniques to extract unique features from input fingerprint photos. This research article uses texture descriptors such as Gabor filters, Local Binary Patterns, and Phase Quantization. Each picture's complete feature vector is created by concatenating these features, which are then input into a Random Forest Classifier to do classification. Using a test dataset, the model's performance is assessed and it shows a 96% overall accuracy rate with balanced precision, recall, and F1 scores for the 'Fake' and 'Live' fingerprint classes. The Random Forest Classifier enhances the model's scalability, resilience, and capacity to manage high-dimensional data. © 2024 IEEE.

关键词： Textures

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Cartoon Face Detection and Recognition with Emotion Recognition

Cartoon Face Detection and Recognition with Emotion Recognit...

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2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023

作者： Agrawal, Subhash Chand Tripathi, Rajesh Kumar GLA University Department of Computer Engineering & Applications Mathura India

ISBN: (纸本)9798350348910

In the past few years, we have witnessed a high attentiveness in cartoon media, power-driven by the strong demands of the industry. The first step to understanding this media, cartoon face recognition and detection is a very important but less explored work with fewer datasets proposed. The paper, we have proposed has two methods for face recognition and face detection for different cartoon characters that appear in comics, cartoons, games, etc. Cartoon face recognition and detection is a more difficult and challenging task than human face detection because of the many difficult scenes involved. If we aim at the characteristics of cartoon faces, huge differences within the intra-faces exist. In order to identify the emotions from cartoon images, we have employed a Deep Neural Network (DNN) approach in this paper. Two cartoon characters, 'Tom' and 'Jerry,' who each exhibit diverse emotions like surprise, happiness, sadness, and rage, were used to create the dataset. The DNN method that successfully distinguishes cartoon characters splits their face masks and names the ensuing emotions with an accuracy score. © 2023 IEEE.

关键词： Face recognition

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Monaural speech separation using WT-Conv-TasNet for hearing aids

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International Journal of Speech Technology 2023年第3期26卷 707-720页

作者： Agrawal, Jharna Gupta, Manish Garg, Hitendra Department of Electronics & Communication Engineering GLA University U.P. Mathura281406 India Department of Computer Engineering & Applications GLA University U.P. Mathura281406 India

Resilient speech separation in multi-talker situations remains a challenge, particularly in real-time and low latency applications. Modern speech separation systems strive to separate loud, reverberant voice mixes, especially for hearing-impaired individuals. Several single channel and speaker-independent speech separation algorithms have recently been developed using deep learning. To overcome the limitation of a lengthy time window to attain appropriate frequency resolution, and long latency in processing the spectrograms, this paper addresses single-channel speech separation to extract and improve desired speech quality from mixed audio using state-of-the-art deep neural networks which is convolutional- time-domain audio separation network (Conv-TasNet). A novel monaural speech separation model by modifying an encoder-decoder pair of Conv-TasNet using wavelet transform (WT-Conv-TasNet) is presented here, which can be applied to hearing aids. From the perspective of isolating two and three speakers’ combinations using the LibriSpeech dataset, the proposed WT-Conv-TasNet system surpasses earlier time–frequency masking systems. Additionally, it has been shown that the proposed model lowers the computing cost of speech separation, and minimizes the output's minimum delay, as it is smaller in size. Therefore, it is well suited to real-time implementation requiring low power, low computing cost of speech separation, and minimum output delay, for example, hearing devices, telecommunication systems automatic speech recognition, and acoustic-based control. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Deep neural networks

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A Review on VQA: Methods, Tools and Datasets 1

A Review on VQA: Methods, Tools and Datasets

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1st International Conference on computer Science and Emerging Technologies, CSET 2023

作者： Agrawal, Mayank Jalal, Anand Singh Sharma, Himanshu Gla University Department of Computer Engineering and Applications Mathura India

ISBN: (纸本)9798350341737

An new area called 'visual question answering' (VQA) seeks to integrate CV with NLP. In order to get correct results, it entails creating models that can comprehend both textual questions and visual input, represented by videos or images. applications for VQA systems include content-based image retrieval, medical image analysis, autonomous vehicles, and human-computer interaction. However, there are a number of difficulties in developing efficient VQA models, such as ambiguity in questions, sophisticated reasoning, processing multi-modal data, and data bias. To solve these issues and enhance the functionality and interpretability of VQA models, researchers are consistently investigating novel techniques, such as attention mechanisms, fusion tactics, and transformer-based architectures. In addition to a review of the existing problems and potential future developments in the area of visual question answering, this paper offers an overview of VQA methods, datasets, and tools. Finally, we go through potential routes for VQA and image comprehension research in the future. © 2023 IEEE.

关键词： Behavioral research

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Analysis of glasshouse location using Grey Relation Analysis 1

Analysis of Glasshouse location using Grey Relation Analysis

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1st International Conference on Cognitive Computing and engineering Education, ICCCEE 2023

作者： Sharma, Dilip Kumar Singh Jalal, Anand GLA University Department of Computer Engineering and Applications Mathura India

ISBN: (纸本)9798350332803

This article is glasshouse location using (GRA) Grey Relation analysis Method. glasshouse is a type of greenhouse this is larger than the prevailing greenhouse. glass houses will have quite a few uses and they may be extra appropriate than the greenhouse. A critical issue about a glass residence is selecting a terrific region. The recognition of specialists is on the strategic angle. This studies is on the area and control of the glass residence Focuses most effective on the strategic attitude. As a end result of the mixture of those diffusion mechanisms The exceptionally sluggish lateral unfold from those facilities in the course of each growing season changed into forged at an altitude of 1950 m in Utrecht. INGRAM observed little proof of sizeable air diffusion in black currant orchards. ORCHARD reviews that the species left glass residence flora in warm climates and climbed to the ridge wherein they had been thrown over silk fibers. A grey relation preferred derived from grey relation evaluation is used to solve the EDM method with multiple overall performance characteristics. It has been determined that copper gives higher multipurpose overall performance than electrodes. The Taguchi method used in those previous research is commonly appropriate for improving an goal value, But the layout of the micro positioning level is a complex one it ought to concurrently improve several goal houses together with maximum stroke, herbal frequency, place of business and accuracy. Payload capability and stiffness. For a design problem with a couple of objective values, grey contact analysis is extra appropriate compared to the Taguchi technique. GRA has been shown to be effective in managing unsure information and enhancing many objective layout issues. The Gray-related analysis (GRA) methods is the most We are taken as High school, Vocational school, Agricultural colleges;scientific research and Liberal Arts College are alternatives. We are taken as Fresh air, Proper water, e

关键词： Greenhouses

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Deep Learning based Diabetic Retinopathy Detection using Image Processing 1

Deep Learning based Diabetic Retinopathy Detection using Ima...

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1st International Conference on Cognitive Computing and engineering Education, ICCCEE 2023

作者： Rathor, Sandeep Tiwari, Ashish GLA University Department of Computer Engineering and Applications Mathura India

ISBN: (纸本)9798350332803

The global prevalence of visual impairment and blindness due to diabetic retinopathy can be significantly reduced through improved diabetes management. Diabetic retinopathy (DR) screening is crucial as it can prevent vision loss. In recent years, personalized screening intervals considering various risk factors have been proposed, showing promising cost-effectiveness ratios. However, limited funding hampers the implementation of widespread screening programs in many countries. A groundbreaking advancement in screening methods is the application of Deep Learning, which revolutionizes the detection and classification of diabetic retinopathy while reducing costs. By automating the analysis of retinal images, Deep Learning techniques enable efficient and accurate identification of DR, enabling timely intervention and treatment. Moreover, emerging research suggests that retinal imaging can not only detect existing diabetic retinopathy but also identify individuals at risk, expanding the scope of screening beyond the detection of sight-Threatening diseases. This paves the way for proactive measures to prevent or mitigate the progression of DR. Therefore, this research aims to develop a Deep Learning-based system for diabetic retinopathy detection using image processing techniques. By leveraging the power of Deep Learning algorithms and advanced image analysis, this study seeks to improve the accuracy, efficiency, and accessibility of DR screening, ultimately enhancing patient outcomes and reducing the burden on healthcare systems. © 2023 IEEE.

关键词： Image analysis

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An Improved HVC based blind watermarking algorithm using SVD and DWT 6

An Improved HVC based blind watermarking algorithm using SVD...

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6th International Conference on Information Systems and computer Networks, ISCON 2023

作者： Toofani, Abhishek Garg, Hitendra GLA University Department of Computer Engineering and Applications Mathura India

ISBN: (纸本)9798350346961

Different watermarking techniques are widely adapted to protect the digital content that is available on the Internet from piracy and infringement. Most of these algorithms for marking are not effectively attack-proof and robust. This paper presents an optimized watermarking algorithm for scale factors using human visual characteristics with singular value decomposition. The action follows SVD and Wavelet transform for breaking the image into block vectors. As a result, the embedding coefficient is determined to balance the watermark image value and extracted value. The derived methodology works on scaling factors, providing good results against noise and attacks.. © 2023 IEEE.

关键词： Singular value decomposition

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Impact of Social Media network by VIKOR MCDM Method 1

Impact of Social Media network by VIKOR MCDM Method

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1st International Conference on Cognitive Computing and engineering Education, ICCCEE 2023

作者： Sharma, Dilip Kumar Rai, Anjani Kumar GLA University Department of Computer Engineering Applications Mathura India

ISBN: (纸本)9798350332803

An internet-based communication that allows users to engage in conversations, share information, and create web content is known to be a social media platform. These networks provide a platform for people to connect and share ideas and thoughts. The popularity of social media networks usually depends on their users. User profiles help individuals select other users who have common interests or concerns. Facebook and LinkedIn are wonderful examples. In today's society using social media has ended up a necessary everyday interest. Social media is commonly used for social interplay, news records access and decision-making. It is a valuable communique device with others domestically and around the arena, and for plenty social media has many advantages for sharing, developing and disseminating facts. We can support others and experience support through them. This is a useful manner for people with social concerns and those who have trouble communicating at once to hook up with other social ***, there are potential disadvantages, including the requirement for evidence and the possibility of receiving negative feedback. Facebook is the largest social media platform, with over two billion users each month, meaning that approximately 36% of the world's population uses Facebook. Social media enables individuals to stay connected with friends and family, discover professional and community opportunities, connect with like-minded people from around the world and share their thoughts, feelings, and insights online. This study utilized the VIKOR method for ranking, which identified the ideal solution based on the longest distance from the alternative solution, without considering their relative importance. The evaluation parameters used were depression, loneliness, life satisfaction, compulsive use, and attention deficit. The results showed that Facebook received the highest rank, while YouTube had the lowest rank. © 2023 IEEE.

关键词： Decision making

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