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Advances in science and technology (ICAST), International Conference on

作者： Tejashree Ghude Roshni Chauhan Krushna Dahake Atharv Bhosale Tushar Ghorpade Dept. of Computer Engineering Ramrao Adik Institute Of Technology Navi Mumbai India

There is a rapid increase of multimodal data such as texts, images, etc. all over the internet and it is a strenuous task to obtain relevant and vital information from it. Hence, it became a challenging task to process this multimodal data for information retrieval. Thus, language generation model would be helpful for generating precise summary. In the present systems, language generation of textual data is majorly focused, but it’s been observed that images can also contribute to the language generation process. Hence, the proposed model is built on an integrated system to process texts and images of both English and Hindi language data and generates concise summary. Text rank algorithm and Term Frequency-Inverse Document Frequency algorithm is used for text generation for both Hindi and English Language. Additionally, a Neural Image Captioning Model is used to generate captions of images which are then correlated with the textual data for Language Generation. The approach of combining TF-IDF algorithm and Text rank algorithm with Image Captioning model aggregately was effective to generate precise summary while considering the information captured by the images. The text generation model built in this research is language independent and paved a way as a use case in generating text for smart composition of sentences, Question-Answering system on various websites, Search Engine Optimization, etc.

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Virtual Hands: Real Time Keyboard, Desktop & Application Navigation using Gestures

Virtual Hands: Real Time Keyboard, Desktop & Application Nav...

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Fourth Industrial Revolution Based technology and Practices (ICFIRTP), International Conference on

作者： Harshit Sharma Richa Saxena Satendra Kumar Ashish Saini Mohammad Saad Mohammad Faraz Dept. of Computer Science and Engineering Quantum University Roorkee India Dept. of Computer Science and Engineering Moradabad Institute of Technology Moradabad India

In computer system keyboard is the most prominent input medium of all time. But lately, human community is living in an era of global pandemic being afraid of suffering from Coronavirus (Covid-19) and hence each and every person avoids touching anything. This is because of the fear of contracting this contagious virus and their mutants. So, to mitigate this issue, we present a method "webcam based virtual keyboard interface" to interact with a computer system. The code of this method is written using pre- built modules like OpenCV, MediaPipe, PyVDA, Win32API, etc. and Python 3.9. This approach uses matching the index finger and middle finger on the specific key. After that the virtual desktop switching mechanism is done by PyVDA. The PyttSX3 library plays the sound whenever any key is pressed or when a desktop switch is initiated, corresponding to the key pressed or the desktop switched. In this approach no additional hardware device other than the webcam, that is already available in the system, is required. This approach is also useful for those persons who wants the access the system, even when their hands are dirty.

关键词： COVID-19 Pathogens Navigation Webcams Pandemics Fingers Keyboards

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Cyber Attacks on Maritime Assets and their Impacts on Health and Safety Aboard: A Holistic View

arXiv

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arXiv 2024年

作者： Ammar, Mohammad Khan, Irfan Ahmad Dept. of Computer Engineering ZHCET AMU UP Aligarh202002 India Marine Engineering Technology Department Electrical & Computer Engineering and Computer Science & Engineering Department Texas A&M University GalvestonTX77573 United States

There has been an unprecedented digitization drive in the industrial sector, especially in the maritime industry. The profusion of intelligent electronic devices and IOT-enabled cyber-physical systems (CPS) has helped in the efficient use of resources and increased convenience. CPS has enabled real-time remote command and control of industrial assets. Unlike the relatively isolated legacy systems, the intertwined nature of Information technology(IT) and Operations technology(OT) brought by Industry 4.0 has increased the complexity of the systems, thereby increasing the attack surface. This work explores the possible consequences of these attacks from a more holistic view, focusing on high-risk assets such as offshore oil rigs, offshore wind farms, and autonomous vessels. The attacks have become more aggressive with the proliferation of such technologies, disrupting the physical process, causing fire and explosion hazards, and endangering human life and environmental health. The possible attack scenarios, the attack vectors, and their physical consequences have been discussed from the perspective of personnel safety and health, along with known security breaches of such nature. To the best of the authors’ knowledge, seldom has any work been done that accentuates the possible human and environmental impacts of such attacks. © 2024, CC BY-SA.

关键词： Cyber Physical System

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IBFND: An Improved Dataset for Bangla Fake News Detection and Comparative Analysis of Performance of Baseline Models

IBFND: An Improved Dataset for Bangla Fake News Detection an...

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Next-Generation Computing, IoT and Machine Learning (NCIM), International Conference on

作者： Shawly Rohman Jannatul Ferdous Sheikh Md. Rezone Ullah Md. Aminur Rahman Dept. of Computer Science and Engineering (CSE) Ahsanullah University of Science and Technology (AUST) Dhaka Bangladesh

Abundant internet connectivity, improvements in bandwidth and access to communication channels have led to a culture of free-flowing information. That almost unconstrained dissemination of information helped people develop a habit of consuming news whenever desired. Nevertheless, individuals must be made aware of the nature of the information they consume. People need assistance to determine whether the news is authentic or fake. Consequently, the detection of fake news has grown in popularity. In recent times, significant progress has been made in identifying fake news in foreign languages. However, more work needs to be done in the Bangla. Initially, we used the BanFakeNews dataset, which has fifty thousand data. However, the dataset is skewed toward authentic news. The dataset's disparity between authentic and fake news makes the models' accuracy sometimes deceptive and unreliable. So, additional resources are still required for the Bangla language. In this work, we have introduced an Improved Bangla Fake News Dataset (IBFND). In this dataset, we have tackled the problem of an imbalanced dataset. We have used web scraping to increase the number of fake news. In addition, we have resorted to using Google Translate for the purpose of translating a few fake English news. Then we have implemented the linear SVC, multinomial NB, XGBoost, and BERT models on IBFND. When we ran all of our models on the BanFakeNews dataset, the highest F1-score came to 81%. Using the IBFND, we have achieved the maximum possible F1-score of 97% with the BERT deep neural network model.

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Realization of Machine Learning Algorithms for Diagnosing Winding Faults in Induction Motors

Realization of Machine Learning Algorithms for Diagnosing Wi...

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International Conference on Power Electronic Drives

作者： W. Abitha Memala Mercy Paul Selvan S. Mohan Ram T. V. Brindavan R. Raja Singh Dept. of Electrical and Electronics Engg. Sathyabama Institute of Science and Technology Chennai India Dept. of Computer Science and Engg. Sathyabama Institute of Science and Technology Chennai India School of Electrical Engineering Vellore Institute of Technology Vellore India Automotive Research Centre Vellore Institute of Technology Vellore India

ISBN: (数字)9798350372472

ISBN: (纸本)9798350372489

The reliability and efficiency of squirrel cage induction motors (SCIMs) are most important in industrial applications, where failures can lead to significant downtime and economic losses. Among the common faults, stator winding faults are particularly detrimental, leading to degraded motor performance and potentially catastrophic failures if undetected at the incipient stage. Various approaches aiding machine learning algorithms are adapted for diagnosing machine faults. This paper realizes different machine learning algorithms to diagnose the winding faults of SCIM. A comprehensive dataset of motor current signatures is trained and validated with several machine-learning models using Python in the Anaconda platform. A detailed comparative analysis of the model's performance is conducted based on metrics such as accuracy, precision, recall, F1 score, and computational efficiency. This research highlights the potential of integrating machine learning techniques into SCIM monitoring systems, offering a proactive approach to maintenance and reducing unscheduled downtimes. Future work will explore the deployment of these models in real-time monitoring systems and the expansion of the dataset to include various motor types and fault conditions.

关键词： Fault diagnosis Adaptation models Machine learning algorithms Induction motors Computational modeling Biological system modeling Windings Stator windings Machine learning Real-time systems

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Analyzing the function of smart security in the context of the internet of things

Analyzing the function of smart security in the context of t...

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： K. Venkatagurunatham Naidu Anchu Krishnan Pillai C. E. Rajaprabha Rajesh Sharma R Atowar Ul Islam Shaik Khasimbee Dept. of Computer Science and Engineering Dr M.G.R Educational and Research Institute Chennai Applied Science and Humanities Xavier Institute of Engineering Mumbai Maharashtra Department of Computer Science and Engineering Hindusthan Institute of Technology Coimbatore Department of Computer Science and Engineering School of Electrical Engineering and Computing Adama Science and Technology University Nazareth Ethiopia Department of Computer Science and Electronics University of Science and Technology Meghalaya Baridua Meghalaya Department of Computer Science and Engineering Aditya College of Engineering Surampalem Andhra Pradesh

technology is getting better day by day and human beings are using the latest technology possible for their needs and safety. Many devices have been invented that use the internet and with this human safety issues are also taken care of up to a great extent. GPS tracking devices, SHE (Society Harnessing Equipment), AESHS (Advanced Electronic System for Human Safety), ILA Systems are one of the most useful applications and devices that are used for human safety. Human safety and especially the safety of girls have become an emerging and sensitive issue in the present world scenario. This article deals with the role of the Internet of Things in advancing smart security. The issues are taken care of with the help of these upgraded devices that are easily accessible from a remote location with an internet connection.

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Drug Authentication and Counterfeit Drug Detection Using Blockchain

Drug Authentication and Counterfeit Drug Detection Using Blo...

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International Conference on Computing Communication Control and Automation (ICCUBEA)

作者： Atharva Chandras Satyam Agrawal Mithil Chaudhary Anushka Deshmukh Shilpa Shinde Dept. of Computer Engineering Ramrao Adik Institute of Technology Navi Mumbai India

Drug counterfeiting is a worldwide phenomenon which affects practically every industry involved with the healthcare sector in both developed and developing countries. This widespread smuggling and usage of counterfeit drugs has serious economic, health, and safety impacts on any country. In addition to this, the credibility of the healthcare system can be questioned and harmed if the counterfeit drugs find a way into the market and harm the public opinion about the pharmaceutical chain. An annual analysis done by the US Trade Representative office on rights protection in 2019 stated that up to 20% of the pharmaceutical supply sold in India were counterfeit and this has only increased since the pandemic. In an estimate done between 2020 to 2021, it was found that incidents of counterfeit and fake drugs had shot up to about 47 percent. Traditional methods of drug authentication have proven to be ineffective in detecting counterfeit drugs. Blockchain technology provides a promising solution to the problem of counterfeit drugs. The proposed system for detecting counterfeit drugs using blockchain technology consists of a blockchain network, a web application, and a database. The proposed system aims to provide an efficient and secure method of detecting counterfeit drugs using blockchain technology, which can enhance trust in the healthcare system and reduce the cost of drug authentication.

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Design and Fabrication of Bengali Braille Embosser Using Solenoid

Design and Fabrication of Bengali Braille Embosser Using Sol...

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International Conference for Convergence of technology (I2CT)

作者： Reshad Ibn Momin Ratan Kumar Das Sourav Raxit Umme Salma Muna Abdullah Al Miraj Dept. of Mechanical & Electrical Engineering University of Southern Denmark-SDU Sønderborg Denmark Dept. of Mechanical Engineering Chittagong University of Engineering & Technology Chattogram Bangladesh Department of Computer Science University of New Orleans United States Dept. of Computer Science & Engineering American International University Dhaka Bangladesh Dept. of Electrical & Electronic Engineering Chittagong University of Engineering & Technology Chattogram Bangladesh

ISBN: (数字)9798350394474

ISBN: (纸本)9798350394481

This paper presents the design and development of a low-cost and user-friendly Bengali braille embosser for the visually impaired population in Bangladesh. To produce braille text, the embosser employs a shifting mechanism and an Embosser head, both controlled by an Arduino microcontroller. A software has also been developed to allow users with basic printer knowledge to operate the embosser. Access to educational resources and reading materials is limited for people with disabilities in Bangladesh, and the availability of Bengali braille writing machines is scarce. The proposed solution aims to address these challenges and improve the learning and communication capabilities of visually impaired individuals.

关键词： Fabrication Braille Microcontrollers Sociology Motors Software Magnetic heads

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A System for Decentralized and Securely Sharing Patient Data using Blockchain technology 5

A System for Decentralized and Securely Sharing Patient Data...

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5th International Conference on Sustainable Technologies for Industry 5.0, STI 2023

作者： Islam, Md. Shohidul Bin Ameedeen, Mohamed Ariff Ajra, Husnul Mia, Md. Solaiman Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Kuantan Malaysia Bangabandhu Sheikh Mujibur Rahman Science & Technology University Dept. of Cse Bangladesh Green University of Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350394290

In today's digital age, the repository and sharing of patient health records is of utmost significance. However, it can be challenging to maintain the privacy of this data, as its daily transactions carry the threat of privacy breaches. Furthermore, some have raised concerns regarding the performance and privacy of blockchain-based applications, which are often used to store health data. To address these matters, this study offers an immune and privacy-conserving patient data-sharing system enabled by the blockchain technique. To assure the utmost security of patient health records stored on the blockchain, this design employs a cutting-edge access controller based on hash-256, including transaction signatures. Additionally, a consensus policy is implemented to safeguard sensitive information further. Patient health data is stored safely and securely by implementing these measures. The use of blockchain technology also assures the privacy, integrity, and scalability of health records. This study evaluates the data transaction performance while maintaining confidentiality in handling patient health records. It exhibits the average transactional time and allowable latency for accessing such health records. © 2023 IEEE.

关键词： Blockchain

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Navigating Adverse Weather: An Exploration of YOLOv8's Object Detection in Fog 10

Navigating Adverse Weather: An Exploration of YOLOv8's Objec...

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10th International Conference on engineering and Emerging Technologies, ICEET 2024

作者： Haris, Muhammad Iqbal, Mansoor Malik, Muhammad Osama Bokhari, Syed Ahmad Saleem Alahmari, Saad Azam, Farooq Institute for Insight - J Mack Robinson College of Business Georgia State University Georgia United States University of Wah Department of Computer Science Wah Cantt Pakistan University of Tulsa Department of Business Analytics Oklahoma United States Harvard Extension School Harvard University CambridgeMA02138 United States Northern Border University Department of Computer Science Arar Saudi Arabia Nust Dept. of Computer Software Engineering Islamabad Pakistan

ISBN: (纸本)9798331532895

Object detection in adverse weather conditions, such as dense fog, poses a critical challenge for computer vision systems in applications like autonomous driving, surveillance, and robotics. Image quality degradation due to light scattering and absorption diminishes the performance of even the most advanced models trained on clear-weather datasets. This paper uses the Foggy Cityscapes dataset to evaluate YOLOv8, a cutting-edge object detection model, under extreme foggy conditions. We utilize YOLOv8's sophisticated architecture, featuring the CSPDarknet backbone and Path Aggregation Network (PANet), for efficient feature extraction and multi-scale detection. Our approach incorporates image enhancement techniques and data augmentation to mitigate the effects of fog on feature visibility. We conduct a comprehensive performance assessment using metrics like mean average precision (mAP) precision-recall curves to evaluate the model's robustness and reliability. Additionally, we benchmark YOLOv8 against previous YOLO versions, detailing improvements and trade-offs in detection speed and accuracy. We also propose a hybrid framework combining multi-task learning to improve image quality and object detection in low-visibility scenarios. © 2024 IEEE.

关键词： Light scattering

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