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Automated Bengali abusive text classification: Using Deep Learning Techniques 1

Automated Bengali abusive text classification: Using Deep Le...

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1st IEEE International Conference on Advances in Electronics, communication, Computing and Intelligent Information systems, ICAECIS 2023

作者： Titli, Showni Rudra Paul, Shimul National Institute of Technology Dept. Electronics and Communication Engineering Calicut India Ahsanullah University of Science and Technology Dept. Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350348057

In recent years, the breakdown of most human causes that hampers a large number of people is verbal abuse. The most noticeable fact is that most of the verbal abuse is made online by people behind the screen. While this problem has occurred with growing modern technologies, a modern solution is needed to solve the drawback. The growing rate of abusive comments and hate speech online is rapidly increasing on a large scale, and manual reports and corrections cannot help this critical situation. This proposed model introduces automation of the hate speech filtering process through deep learning. This work uses only Bengali datasets to find the real classification, as many Bengali and English mixed research works are available in this field. Using the intelligent automated classification of text comments in a limited resource-constrained language (example: Bengali) is critical for several reasons. This proposed system classifies 'Personal Offensive Text', 'Geographical Offensive Text', 'Religious Offensive text', 'Crime Offensive Text', 'Entertainment, Sports, Meme Tiktok, and others'. By combining two large datasets for this research and employing Bengali BERT, the best feasible outcome has been *** paper indicates the complete results of the combined two different datasets and classified into nine segments, while the proposed Bengali BERT models achieved the highest accuracy of 0.706 and a weighted f1 score of 0.705 in the identification and classification tasks. © 2023 IEEE.

关键词： Automation

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A New Proposed Data Security Model in Cloud Computing Environment

A New Proposed Data Security Model in Cloud Computing Enviro...

引用

2023 International Conference on computer, Electronics and Electrical engineering and their Applications, IC2E3 2023

作者： Banerjee, Pallab Prasad, Vishal Thakur, Kanika Banerjee, Probal Amity University Dept. of Computer Science Engineering Jharkhand Ranchi India Govt. Polytechnic Ranchi Dept. of Electronics and Communication Engineering Jharkhand India

ISBN: (纸本)9798350338003

Advancement in the environment of cloud computing has rapidly increases over the past years. In cloud computing protection of data utilizing centralized resources has arisen because of a growing number of businesses storing their data int the cloud helps them easily to access their data easily. The major issues faced by users nowadays, the safety and fetching of user cloud data is arisen rapidly. In this proposed algorithm, the user's data is encrypted using the advanced encryption standards algorithm, and the encrypted data is then performed with some xor operations in cypher block chaining mode using a secret key known only to the data owner to increase confidentiality and security level. If the user does not provide a secret key, the system can generate one on its own. © 2023 IEEE.

关键词： Cryptography

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A Blockchain-PUF-based Secure Mutual Authentication Scheme for IoT

A Blockchain-PUF-based Secure Mutual Authentication Scheme f...

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2024 IEEE Conference on communications and Network Security, CNS 2024

作者： Li, Ei-Jie Lin, Hui-Tang Yang, Hao-Ren National Cheng Kung University Institute of Computer and Communication Engineering Tainan Taiwan National Cheng Kung University Dept. of Electrical Engineering Tainan Taiwan

ISBN: (纸本)9798350375961

The Internet of Things (IoT) offers significant convenience but also exposes users to heightened risks from malicious attacks aiming to compromise device authentication and forge identities. Existing identity authentication systems typically rely on centralized architectures, leading to single points of failure and trust issues. This study introduces a mutual identity authentication scheme leveraging blockchain technology and the unique properties of physical unclonable functions (PUFs) embedded in IoT devices. PUFs are inherently unpredictable and unique, even among chips manufactured in the same batch, rendering it virtually impossible for attackers to replicate device authentication information and forge identities. By integrating blockchain technology with zero-knowledge proof protocols, the proposed scheme ensures secure authentication within open and transparent networks. Once the authentication process is completed, results are recorded on the blockchain to prevent tampering, and aggregate signature technology safeguards against man-in-the-middle attacks during data transmission from gateways to devices. Security analysis demonstrates that the proposed blockchain-PUF method is robust against common IoT security threats and is suitable for IoT devices with limited computational and storage capacities, offering a secure and efficient solution for modern IoT networks. © 2024 IEEE.

关键词： Authentication Protocol

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Detection of Cardiovascular Activities of Multiple Patients using MIMO mmWave Radar

Detection of Cardiovascular Activities of Multiple Patients ...

引用

2024 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2024

作者： Jena, Paramananda Sahu, Kedar Nath Behera, Sagarika Electronics and Radar Development Establishment DRDO Bengaluru India Dept. of Electronics and Communication Engineering Stanley College of Engineering and Technology for Women Hyderabad India Dept. of Computer Science and Engineering CMR Institute of Technology Bengaluru India

ISBN: (纸本)9798350379693

This paper presents the detection and analysis of cardiovascular activities for localisation of multiple patients using Doppler signals associated with their chest wall motion, heart beat and sleep disorder. The modeling of the vital signs has been carried out considering the vibrating surface of human body illuminated by a radar. The main challenge of a medical radar is the noncontact diagnosis of multiple people. MIMO radar has enormous potential in two areas: micro Doppler detection and fine angular resolution. In this work, MIMO radar is designed and analysis of micro Doppler due to (i) chest movement, (ii) heartbeat and (iii) tidal volume of patients in their sleeping conditions has been carried out using MATLAB models. © 2024 IEEE.

关键词： Doppler radar

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Performance Analysis of Different Hardware Platforms in Wireless Sensor Networks 4

Performance Analysis of Different Hardware Platforms in Wire...

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4th International Conference on Signal Processing and communication, ICSPC 2023

作者： Jebarani, P. Esther Jone, Amir Anton Jose, Tony Paul, J. John Jose, Shelja Kumar, Pradeep Kovai Kalaimagal College of Arts and Science Coimbatore Dept. of Computer Science India Karunya Institute of Technology and Sciences Coimbatore Dept. of Electronics and Communication Engineering India Indira Gandhi Institute of Engineering and Technology Dept. of Electronics and Communication Engineering Kothamangalam India

ISBN: (纸本)9798350300772

Wireless Sensor Networks (WSN) encompasses rapid development in research area through large scale applications. The main objective is to compare four different hardware platforms such as Rene, Mica, Spec and Blue in order to find efficient hardware platform that can provide best performance within certain constraints while working on TinyOS as operating system. The four different hardware platforms are compared on the basis of certain constraints such as data communication, rendezvous(mJ/day), alarm checking, sensing, sleep (units in mJ/day), expected lifetime (units in years). According to this investigation, mica outperforms the four different platforms in terms of decoupling between RF and data path speed, bit rate, and timing accuracy. However, future specifications will be found to be more efficient based on CMOS processes and RF radio technology, which results in lower costs, smaller sizes, lower power requirements, and a decrease in complexity. © 2023 IEEE.

关键词： Wireless sensor networks

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Prediction of Cyclone with Metrological Factors using Gradient Boosting Algorithm 4

Prediction of Cyclone with Metrological Factors using Gradie...

引用

4th International Conference on Electronics and Sustainable communication systems, ICESC 2023

作者： Durai Arumugam, S.S.L. Praveenkumar, R. Shreya, P. Selvakumar, J. Easwari Engineering College Dept. of Information Technology Chennai India Easwari Engineering College Dept. of Electronics and Communication Engineering Chennai India Sri Ramakrishna Engineering College Dept. of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350300093

Innovations in computer vision and satellite imaging technologies have made fully automatic weather forecasting a reality. The cyclone prediction system is developed with the goal of reducing both natural disasters and human casualties. Machine Learning object recognition system is created to pinpoint the cyclone, which contains more information about the storm's activity. This is crucial work because it pinpoints the exact spot where the cyclone's formation. The accuracy of cyclone forecasts from many machine learning and deep learning models is 86%-95% or higher, while the accuracy of cyclone eye detection is 87% or higher from the same models. The impressive findings show that the experiment can surpass both established methods and previous attempts. © 2023 IEEE.

关键词： Weather forecasting

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IoT Based Poultry Farm Smart Management system

IoT Based Poultry Farm Smart Management System

引用

2024 International Conference on Knowledge engineering and communication systems, ICKECS 2024

作者： Krishnamurthy, K.T. Managuli, Manjunath Malipatil, Sushma Bagyalakshmi, K. Salake, Sudha V. Kadalagi, Pankaja S. Patil, Sheetal B. Bms College of Engineering Vtu Dept. of Electronics & Instrumentation Belagavi India Kls Gogte Institute of Technology Vtu Dept. of Electronics & Communication Belagavi India Amc College of Engineering Vtu Dept. of Computer Science Belagavi India Sri Ranganathar Institute of Engineering & Technology Dept. of Electrical & Electronics Coimbatore India Kls Gogte Institute of Technology Vtu Dept. of Computer Science Belagavi India Sgb Institute of Technology Vtu Dept. of Computer Science Belagavi India

ISBN: (纸本)9798350359688

One of the greatest significant and fastest-growing financial sectors of India's agriculture industry at the moment is poultry. Chicken output has been steadily rising globally due to superior manufacturing processes and uniform farming management. Automation is essential in today's environment, and the Internet of Things (IoT) is a rapidly developing idea. Traditional systems are being transformed into automated systems. The project's main goal is to automate chicken farms by utilizing Internet of Things technology to carry out several management-related tasks. This study examines how a poultry farm's environmental factors, similar to humidity, temperature, and ammonia gas, are automatically observed and managed to promote chicken growth. The water position is also controlled and covered with the help of a detector module. All detector values are acquired by connecting all the detector modules to the microcontroller, and also, using the WIFI module, they will be uploaded to the webpage. Being in the care of the loud ranch can get the inner eco-friendly condition over a PC using the internet. This system will control temperature, moisture, ammonia gas and water situation with the help of a cooling addict, exhaust addict, ventilation window and DC motor without any moral interface. Grounded on the threshold values, it'll switch on the bias. therefore, this system design provides automated flesh, reduces the pool, and increases the product of healthy cravens. © 2024 IEEE.

关键词： DC motors

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IoT based Truck Wheel Temperature Monitoring system

IoT based Truck Wheel Temperature Monitoring System

引用

2024 Asian Conference on Intelligent Technologies, ACOIT 2024

作者： Zaid, Mohd Ahmad, Nadeem Aljamal, Mohammed Patel, Sarosh Khan, Asif Dept. of Computer Science and Engineering Integral University Lucknow India Dept. of Electronics and Communication Engg. Goel Institute of Technology and Managment Lucknow India School of Engineering University of Bridgeport United States Integral Robotics Lab Dept. of Computer Application Integral University Lucknow India

ISBN: (纸本)9798350374933

The main objective of this paper is to design an IoT based truck wheel temperature monitoring system using Arduino board with the aim to overcome endanger and raise the safety measures for truck and goods. By designing and implementing a temperature-detecting system, we can detect the temperature of the wheels trucks. By the use of such detecting device we can prevent the major problem associated with wheel’s temperature and may avoid the major accidents. This monitoring system senses the temperature data of the wheel and transmits through the Wi-Fi module. In addition, it upgrades Thingspeak channel that can collect the data and it can easily be accessed by the transport agency and the truck driver. This can further be analysed using any computer system or mobile with internet connectivity anywhere across the globe to take real-time decision. The core function of the proposed detecting system is to monitor the real- time value of truck wheel temperature and to inform the concerned people. © 2024 IEEE.

关键词： Wi-Fi

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Cryptosight: Decrypting Future Trends with LSTM, PyCaret and Jinja 2.0 1

Cryptosight: Decrypting Future Trends with LSTM, PyCaret and...

引用

1st IEEE International Conference on Smart Power Control and Renewable Energy, ICSPCRE 2024

作者： Mhatre, Soham Motiram Mishra, Brajesh Kumar Raja, Ishan Kumar Goswami, Bigit Krishna Agrawal, Sneha Upadhyay, Pranjal National Institute of Technology Dept. of Electronics and Communication Engineering Nagaland Dimapur India National Institute of Technology Dept. of Mechanical Engineering Nagaland Dimapur India National Institute of Technology Dept. of Electrical & Electronics Engineering Nagaland Dimapur India National Institute of Technology Dept. of Computer Science and Engineering Nagaland Dimapur India

ISBN: (纸本)9798350377002

The primary objective of this research is to develop and evaluate combined cryptocurrency price prediction models using Long Short-Term Memory (LSTM) neural networks along with traditional time series models and machine learning techniques like Random Forest and Linear Regression. The LSTM models will capture long-term dependencies in sequential cryptocurrency price data, while the other models provide complementary predictive capabilities. This multi-model approach aims to leverage the strengths of different techniques to improve overall prediction accuracy. Additionally, this research seeks to explore the practical application of these predictions in real-world cryptocurrency trading scenarios. The study will collect historical price data and relevant news for major cryptocurrencies from reputable sources. Data preprocessing, feature engineering, model training, hyper-parameter tuning, and evaluation using metrics like RMSE, MAE, and R-squared will be performed. The predictive performance of the LSTM-based models will be compared against baseline models, with statistical significance testing. Interpretability analysis will provide insights into the factors driving price movements. Furthermore, the research will investigate integrating the predictions into trading algorithms and evaluate their efficacy through back-testing on historical data. Limitations, challenges, and future research directions in cryptocurrency price prediction will also be discussed. © 2024 IEEE.

关键词： Prediction models

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Deep Learning-Based Spectrum Sharing for Dynamic Resource Allocation in 6G Cognitive Radio Networks 4

Deep Learning-Based Spectrum Sharing for Dynamic Resource Al...

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4th International Conference on Power, Control and Computing Technologies, ICPC2T 2025

作者： Upadhyay, Deepak Upadhyay, Abhay Venu, Nookala Kukreti, Kamlesh Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering Graphic Era Deemed to Be University Dehradun India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India Dept. of Electronics and Communication Engineering Graphic Era Deemed to be University Dehradun India

ISBN: (纸本)9798331530402

We conduct an extensive study on deep learning-based spectrum sharing to resolve dynamic resource allocation in 6G cognitive radio networks in this paper. The approach uses modern machine learning models to optimize spectrum usage, increase prediction accuracy of spectrum availability, and reduce interference among the primary and secondary users. We need to evaluate the performance of deep learning algorithms against the traditional spectrum allocation methods in simulation. In the paper, regular quality of service metrics such as throughput distribution and fairness among users are demonstrated to be much improved with these results, where both latency and energy consumption have been cut down dramatically. This work demonstrates the paradigm-shifting role of deep learning in spectrum management for 6G networks, pointing towards intelligent and effective resource allocation mechanisms in tomorrow's communications. © 2025 IEEE.

关键词： Cognitive radio

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