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4th International Conference on Microelectronics, Computing and Communication Systems, MCCS 2019

作者： Swastika Department of Electronics & Communication Engineering Netaji Subhas Institute of Technology-Bihta Near IIT Patna PatnaBihar India

ISBN: (纸本)9789811555459

In the present paper, an attempt has been made to estimate the attenuation of millimeter wave from the layers of spherical and non-spherical dust particles. It is observed that attenuation of millimeter wave is very much related to the extinction cross section of dust particles. The attenuation caused by the layers of spherical and non-spherical dust particle increases with increasing frequency of operation for different values of visibility. It is also found that the scattering cross section, absorption cross section and extinction cross-section have got important role to estimate the loss due to scattering and absorption of millimeter wave. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Millimeter waves

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Estimation of MMW Attenuation in Dust Storms Under Rayleigh Approximation 4th

Estimation of MMW Attenuation in Dust Storms Under Rayleigh ...

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4th International Conference on Microelectronics, Computing and Communication Systems, MCCS 2019

作者： Swastika Department of Electronics and Communication Engineering Netaji Subhas Institute of Technology-Bihta Near IIT Patna Patna801106 India

ISBN: (纸本)9789811555459

It is found that frequency under Rayleigh approximation the scattering cross section dominates over absorption cross section. It is clearly found that scattering cross section, absorption cross section and extinction cross section increase with increasing frequency. It is further observed that the loss due to scattering and absorption increases with increasing frequency and decreases with increasing visibility;this is corroborated with the fact that increasing visibility decreases the number of particles present in the unit value of storm. It may therefore be concluded that with the advent of communication engineering and due to enhance superiority of millimeter wave over infrared. The millimeter wave has finite contribution in communication engineering. It is imperative for us to investigate the other useful characteristics of millimeter wave under adverse atmospheric condition which will be considered as the milestone in the area of communication. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Millimeter waves

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Comparative analysis dust accumulation impact on PV performance using artificial neural network and machine learning algorithms

Results in Engineering

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Results in engineering 2025年 26卷

作者： Shukla, Ashutosh Pachauri, Rupendra Kumar Hussain, Athar Ali, Ahmed Khan, Baseem Electrical Cluster School of Advanced Engineering UPES Uttarakhand Dehradun248007 India Miyan Research Institute International University of Business Agriculture and Technology Dhaka1230 Bangladesh Civil Engineering Department Netaji Subhas University of Technology New Delhi110078 India Department of Electrical and Electronic Engineering Technology University of Johannesburg Johannesburg South Africa Department of Electrical and Computer Engineering Hawassa University Hawassa05 Ethiopia

This paper presents a comparative study on artificial neural networks (ANN) and machine learning (ML)-based modelling approaches on experimental data to predict the power output of photovoltaic (PV) systems with the aerosol impact on different types of dust samples such as chalks powder, fly ash, rice husks, sand and bricks powder accumulation on the PV module surface. An experimental study deliberates about the maximum power output through the 60 W PV module during the artificial irradiation levels (625W/m2, 675W/m2, 725W/m2, 825W/m2, and 875W/m2) with different dust samples and weights. Both the ANN and support vector regression (SVR) models are trained verified on sample data generated from PV module under controlled laboratory environment. The PV module power output is predicted in terms of root mean square error (RMSE), mean absolute percentage error (MAPE), and R-value to compare the ANN and SVR models' performance. In this context, ANN-based performance metrics in terms of RMSE (1.41), MAPE (11.011), R-Value (0.983), and accuracy (97.02 %) are on the lower side compared to the SVR model as RMSE (0.24), MAPE (1.544), R-Value (0.995), and accuracy (98.3 %). Future utility-scale PV power plants may utilize ANN and SVR-based models for real-time monitoring, predictive maintenance, manual cleaning, and on-site diagnostics. These models complement the experimental setup and provide a scalable, futuristic predictive framework for autonomous, data-driven next-generation solar energy system operation. © 2025 The Author(s)

关键词： Support vector regression

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Maximum Power Point Tracking (MPPT) Control of Grid Connected Solar-Wind Energy Conversion System

Maximum Power Point Tracking (MPPT) Control of Grid Connecte...

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Power, Instrumentation, Energy and Control (PIECON), International Conference on

作者： Dharmendra Singh Yadav Javed Ali Department of Electrical Engineering Netaji Subhas University of Technology Delhi India Department of W.R.D. & Management Indian Institute of Technology Roorkee India

Grid-connected solar-wind energy conversion systems are distinguished by their dependability and operational efficiency. Modeling, simulation, and control of a system that converts energy from solar and wind and feeds it into the grid are described in this paper. The system contains of a wind turbine, a synchronous generator with permanent magnets, a solar array, a controller, and converters. An MPPT control technique with optimal tip speed ratio (OTSR) delivers maximum power in wind energy systems independent of variations in wind flow. The solar system’s highest power point is monitored with the use of the Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm. The control technique works on the inverter to keep the DC link voltage constant and controls the injected power to maintain the constant voltage and frequency fluctuations within the limit at the grid side. In the MATLAB/Simulink software, the suggested system’s dynamic behaviour and control are examined.

关键词： Maximum power point trackers Fluctuations Voltage fluctuations Wind energy Wind speed Energy conversion Synchronous generators

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Multi-attributed and structured text-to-face synthesis

Multi-attributed and structured text-to-face synthesis

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2020 IEEE International Conference on technology, engineering, Management for Societal Impact Using Marketing, Entrepreneurship and Talent, TEMSMET 2020

作者： Wadhawan, Rohan Drall, Tanuj Singh, Shubham Chakraverty, Shampa Netaji Subhas Institute of Technology Department of Computer Science and Engineering New Delhi India Netaji Subhas University of Technology Department of Computer Science and Engineering New Delhi India

ISBN: (纸本)9780738142715

Generative Adversarial Networks (GANs) have revolutionized image synthesis through many applications like face generation, photograph editing, and image super-resolution. Image synthesis using GANs has predominantly been uni-modal, with few approaches that can synthesize images from text or other data modes. Text-to-image synthesis, especially text-to-face synthesis, has promising use cases of robust face-generation from eye witness accounts and augmentation of the reading experience with visual cues. However, only a couple of datasets provide consolidated face data and textual descriptions for text-to-face synthesis. Moreover, these textual annotations are less extensive and descriptive, which reduces the diversity of faces generated from it. This paper empirically proves that increasing the number of facial attributes in each textual description helps GANs generate more diverse and real-looking faces. To prove this, we propose a new methodology that focuses on using structured textual descriptions. We also consolidate a Multi-Attributed and Structured Text-to-face (MAST) dataset consisting of high-quality images with structured textual annotations and make it available to researchers to experiment and build upon. Lastly, we report benchmark Fréchet's Inception Distance (FID), Facial Semantic Similarity (FSS), and Facial Semantic Distance (FSD) scores for the MAST dataset. © 2020 IEEE.

关键词： Generative adversarial networks

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Deep Q-Network Dueling-Based Opportunistic Data Transmission in Blockchain-Enabled M2M Communication

Deep Q-Network Dueling-Based Opportunistic Data Transmission...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Jagdeep Singh Sanjay Kumar Dhurandher Isaac Woungang Department of Computer Science and Engineering Sant Longowal Institute of Engineering and Technology Longowal Punjab India Department of Information Technology Netaji Subhas University of Technology New Delhi India National Institute of Electronics and Information Technology New Delhi India Department of Computer Science Toronto Metropolitan University Toronto ON Canada

The growth of the opportunistic network (OppNet) in recent years has created a variety of opportunities and concerns. Machine-to-machine (M2M) communications, which are a critical component of OppNet, provide a novel means for connecting and communicating among machine-type communication devices (MTCDs) without the need for human interaction. OppNet data play a significant role in M2M communications and it emphasizes more powerful data storage, computation, processing, as well as the security and stability of data transfer. This paper proposes a joint optimization framework for dueling Deep Q-network (DQN)-based opportunistic data transmission in M2M communication using blockchain technology. The best choice and decision of caching servers, blockchain systems, and computing nodes, can be made in accordance with the dynamic decision-making process by DQN, a decision to increase the system incentives, including high data processing efficiency, lower cost, and improved data interaction security. Simulation results using various parameters demonstrate that the proposed model has more benefits and is more efficient than the existing random, greedy, and Conventional DQN benchmark schemes.

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Asymmetric Dual-Hop NOMA based Communication System with Practical Constraints: Imperfect CSI, HWI and ISIC

Asymmetric Dual-Hop NOMA based Communication System with Pra...

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International Conference on Signal Processing and Communication (ICSC)

作者： Isha Khirwar Akash Gupta Bharat Verma Parul Garg ECE Department The LNM Institute of Information Technology Jaipur India Division of Electronics and Communication Engineering Netaji Subhas University of Technology New Delhi India

In this paper, we present an asymmetric dualhop decode-and-forward relay-based Non-Orthogonal Multiple Access (NOMA) based communication system. The source-to-relay link is characterized by $\eta-\mu$ distribution, while the relay to end users is characterized by Rayleigh distribution. Further, we have incorporated hardware impairments (HWI), and channel state information (CSI) errors due to imperfect successive interference cancellation (SIC), at the relay and end users. The mathematical framework for outage probability (OP) is being derived, and the analytical results are verified using Monte Carlo simulation results.

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HydroPro: An IoT-Based Smart Water Bottle

HydroPro: An IoT-Based Smart Water Bottle

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IEEE Region 10 Symposium

作者： Aadi Nirbhavane Riti Kushwaha Gaurav Singal Abhinav Tomar Vipin Pal Ankur Gupta Amity International School Delhi India School of Computer Science and Technology Bennett University Greater Noida India Computer Science and Engineering Department Netaji Subhas University of Technology Delhi India Department of Computer Science Rishihood University and Newton School of Technology Sonipat India

ISBN: (数字)9798350364866

ISBN: (纸本)9798350364873

Water is a necessity for the correct functioning of the human body. In the modern era, most people have hectic schedules, making it difficult for them to remember to drink enough water and track their water consumption. This problem of not being able to track the daily water intake becomes even more pronounced for people of older age groups. In addition, people on medications also require strict water intake to dilute the toxins that the medicines introduce in their body. We present our product - HydroPro, a smart water bottle aimed at encouraging our target audiences to better their hydration habits. Our product gives a more personalized water tracking facility to the user wherein we take the user's environment parameters into account (namely temperature and humidity) to notify the user whether they have consumed enough water. The objective is to enable effective management of daily water requirements and to ensure users drink good quality water. The result shows the working effectiveness of smart water bottle system which is also tested and validated on mobile application.

关键词： Schedules Target tracking Humidity Mobile applications Internet IEEE Regions

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Analysis of Solid-core Photonic Crystal Fiber for Confinement Loss and Birefringence with Square Air Hole Layers

Analysis of Solid-core Photonic Crystal Fiber for Confinemen...

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Laser Science, LS 2021 - Part of Frontiers in Optics, FiO 2021

作者： Singh, Ritu Raj Srivastava, Devansh Bhattacharya, Wridheeman Department of Electronics and Communication Engineering Netaji Subhas University of Technology Delhi India Department of Electronics and Communication Engineering Indian Institute of Information Technology Jharkhand Ranchi India

The solid core photonic crystal fiber with square-shaped air hole layers around the core is designed and analyzed by varying the number of rings (n). Increase in the number of rings results to decrease in mode confine... 详细信息

ISBN: (纸本)9781557528209

关键词： Birefringence

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Role of Emotion in Excessive Use of Twitter During COVID-19 Imposed Lockdown in India

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Journal of technology in Behavioral Science 2021年第2期6卷 370-377页

作者： Arora, Anshika Chakraborty, Pinaki Bhatia, M.P.S. Mittal, Prabhat Department of Computer Science and Engineering Netaji Subhas University of Technology New Delhi 110078 India Department of Commerce Satyawati College (Evening) University of Delhi Delhi 110052 India

The COVID-19 pandemic and the lockdowns to contain it are affecting the daily life of people around the world. People are now using digital technologies, including social media, more than ever before. The objectives of this study were to analyze the social media usage pattern of people during the COVID-19 imposed lockdown and to understand the effects of emotion on the same. We scraped messages posted on Twitter by users from India expressing their emotion or view on the pandemic during the first 40 days of the lockdown. We identified the users who posted frequently and analyzed their usage pattern and their overall emotion during the study period based on their tweets. It was observed that 222 users tweeted frequently during the study period. Out of them, 13.5% were found to be addicted to Twitter and posted 13.67 tweets daily on an average (SD: 4.89), while 3.2% were found to be highly addicted and posted 40.71 tweets daily on an average (SD: 9.90) during the study period. The overall emotion of 40.1% of the users was happiness throughout the study period. However, it was also observed that users who tweeted more frequently were typically angry, disgusted, or sad about the prevailing situation. We concluded that people with a negative sentiment are more susceptible to addictive use of social media. © 2020, Springer Nature Switzerland AG.

关键词： COVID-19 Emotion analysis Lockdown Social media addiction Twitter

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