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Smart Sensors and IoT in Mechanical Engineering: Enhancing Monitoring and control of Industrial Processes 1

Smart Sensors and IoT in Mechanical Engineering: Enhancing M...

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1st international conference on advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Annavarapu, Babu J Hareesha, N.G. Kacheru, Goutham Mohammad, Ashif Chin, Jacky Ghule, Gauri KLEF Deemed to be University Department of Management Andhra Pradesh Guntur India Dayananda Sagar College of Engineering Department of Aeronautical Engineering Bengaluru India Wilmington University Department of IST United States University of Dhaka Department of Institute of Energy Bangladesh Mercu Buana University Department of Industrial Engineering West Jakarta Indonesia Department of E and TC VIIT Pune India

ISBN: (纸本)9798331518578

Unmanned aerial vehicles (UAVs) are currently regarded as among the most effective remote sensing methods for collecting data across wide regions. Along with measuring output and aiding in decision-making, they are now employed in the industrial domain as sensing equipment for proactively resolving or avoiding numerous problems. UAVs offer an economical, functional, and reliable technical system for event monitoring and data collecting. Cloud computation has proven to be an essential instrument for addressing processing needs, and the Internet of Things (IoT) transmits industrial data from platforms that monitor and manage surroundings to data processing platforms. The IoTs port connects many items to the internet in fog computation. It supports many communication standards and can function as a joint portal for various systems. Much work has gone into creating UAVs and platforms with several UAVs. This work presents a smart IoT monitoring and control platform depending on a UAV. It utilizes fog computation as an interface between IoT tiers and cloud computation activities. Its ability to seamlessly connect UAVs to industrial control platforms via IoT port platforms and process and analyze UAV shots in real-time and in a structured manner in the cloud is what makes it distinctive. The outcomes show unequivocally that the suggested structure is feasible in offering a dependable and effective UAV distant control platform to enhance product grade and minimize waste. Hence this study investigated the communication delay in several IoT ports between the various IoT levels. © 2025 IEEE.

关键词： Fog computing

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Autonomous control with Vision and Deep Learning: A Raspberry Pi Edge computing Platform for Obstacle Detection in SUAV Path 7

Autonomous Control with Vision and Deep Learning: A Raspberr...

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7th international conference on Advanced communication Technologies and networking, CommNet 2024

作者： Ullah, Farman Hayajneh, Mohammad Abuali, Najah Asad, Haroon Malik, Fiza Saeed Mon, Bisni Fahad United Arab Emirates University College of Information Technology Al-Ain Abu Dhabi17551 United Arab Emirates COMSATS University Islamabad-Attock Campus Attock Department of Electrical and Engineering 43600 Pakistan

ISBN: (纸本)9798350367027

The article addresses the critical need of obstacle detection for avoidance in the navigation path of the Small Unmanned Aerial Vehicles (SUAVs), particularly in complex environments with varying obstacles. Path planning and navigation for SUAVs is complex due to the variability of the navigating environment and the presence of diverse obstacles at low altitudes, particularly in populated areas. In this article, we propose obstacle detection in SUAV flight paths using state-of-The-Art convolutional neural network (CNN) based object detection algorithms, particularly the YOLO (You Only Look Once) family, deployed on Edge devices such as Raspberry Pi. The study involves a comprehensive experimental evaluation of YOLO models for accuracy and speed in real-Time obstacle detection. The methodology includes dataset acquisition, model training, and deployment on Raspberry-PI being a single board computer acting as a host using OAK-D camera. Results demonstrate the efficacy of these AI-on-The-Edge solutions in enhancing UAV navigation safety through autonomous obstacle detection for real-Time avoidance. The findings highlight the feasibility and performance of integrating CNN-based vision systems with Edge computing for UAV applications in dynamic environments. Comparing the YOLO family, we achieved the highest Precision, Recall, and Accuracy for the YOLOv6. © 2024 IEEE.

关键词： Convolutional neural networks

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Enhancing Agricultural Quality control: Freshness Detection in Root Vegetables Through Deep Neural Networks 15

Enhancing Agricultural Quality Control: Freshness Detection ...

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15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Shorna, Aklema Akther Ave, Abida Sultana Mahi, Hasibul Hasan Chowdhury Shital, Sabrina Bari Sowrna, Nourin Jahan Nahid, Aynul Hasan Daffodil International University Dept. computer science and engineering Dhaka Bangladesh

ISBN: (纸本)9798350370249

In monarchy agricultural technology, this research pioneers the classification of freshness in root vegetables, a field that has been abruptly neglected in earlier research on a variety of vegetables. This study addresses this research gap and employs a transfer learning-based system to swiftly determine the freshness of root vegetables through images. To conduct this research, we create our own dataset which contains six different vegetables, 'Potato', 'Radish', 'Carrot', 'Onion', 'Taro', and 'Turnip'. Vegetables were collected from the local market and clicked manually by personal mobile phone, giving the dataset authenticity and real-world application. In total we collect 6384 images, divided into 3 classes: 'Fresh', 'Aged' and 'Rotten' based on their physical attributes and texture. Different types of transfer learning model VGG19, ResNet50, InceptionResNetV2 and DenseNet201 used to classify freshness of root vegetables. Although every model achieved decent accuracy, DenseNet201 achieved a remarkable result. DenseNet201achived highest accuracy 98.75% where data loss was 0.02%. Conversely, though ResNet50 achieved lowest accuracy 60.97% among all models. The variety of algorithms used seeks to determine the best course of action for this particular agricultural setting in addition to precisely classifying freshness. This research not only defines a novel benchmark but also sets the stage for future explorations in agricultural technology, ushering in a new era of precision farming for root vegetables © 2024 IEEE.

关键词： classification deep neural network freshness Root vegetable transfer learning

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Revolutionizing networking: An Exploration of Software-Defined networking 2

Revolutionizing Networking: An Exploration of Software-Defin...

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2nd international conference on Automation, computing and Renewable Systems, ICACRS 2023

作者： Hussain, Imran S. Yuvanesh, S. Yokesh, S. Department of Electronics and Communication Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9798350340235

Traditional networking designs are struggling to keep up with the needs of contemporary applications and consumers as networking technologies advance. The emergence of software-defined networking (SDN) as a viable technique to address these issues is encouraging. By dividing the network's control plane and data plane, allowing for programmable control of network resources, and supporting network virtualization, SDN allows for more adaptable and efficient network administration. Software-defined networking (SDN) is the subject of the study, which aims to describe its advantages and disadvantages, as well as its architecture, methodology, essential technologies (OpenFlow, network virtualization, SD-WAN), and other relevant topics. Both Google's deployment of SDN in its data centre networks and TMNA's deployment of SD-WAN are discussed in the article as real-world examples of successful SDN deployments. This research study also includes case studies of successful SDN deployments at individual firms, offering in-depth examination of the advantages and disadvantages of putting SDN into practice in the real world. The document also includes suggestions and best practices for deploying and managing SDN, as well as methods for addressing the issues that might arise during implementation. In the end, the article finds that software-defined networking is a promising technology with the potential to revolutionize network infrastructure by making it possible to administer networks in a way that is both more adaptive and more secure. However, in order to reap the advantages of SDN, deployment must be carefully planned and executed, and businesses must be willing to invest in new hardware and software. © 2023 IEEE.

关键词： network management network performance network security SDN architecture SDN flowchart SDN methodology software-defined networking

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Revolutionizing Face Detection: VisionaryNet's Breakthrough in Unraveling Facial Camplexity 2

Revolutionizing Face Detection: VisionaryNet's Breakthrough ...

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2nd international conference on Computer, communication and control, IC4 2024

作者： Nallarasan, V. Arivazhagan, N. Lakshminarayanan, R. Sharmila, D. Sangolgi, Nagaveni B Anand, M. Srm Institute of Science and Technology School of Computing Department of Networking and Communications Chengalpattu Kattankulathur India Srm Institute of Science and Technology School of Computing Department of Computational Intelligence Chengalpattu Kattankulathur India Kpr Institute of Engineering and Technology Department of Electronics and Communication Engineering Coimbatore India Sharnbasva University Department of Electronics and Communication Engineering Kalaburagi India Srm Institute of Science and Technology Department of Computing Technologies Chengalpattu Kattankulathur India

ISBN: (纸本)9798350387933

The initial step in facial recognition and analysis systems often involves facial detection. Traditional methods like Haar cascades and directed gradient histograms relied on manually designed features, limiting their effectiveness in diverse image environments. However, the emergence of deep learning in computer vision has accelerated the development of face detection frameworks, significantly improving accuracy. Detecting small-scale faces, varying positions, occlusions, blurs, and partially obscured faces in uncontrolled settings remains a persistent challenge in face identification. To address this, we propose a new approach called 'Visionary Net.' This single-stage face detector has undergone refinements, boosting both detection speed and accuracy. We tested Visionary Net on two well-known datasets: Mega Face and CelebA. Notably, on the Mega Face benchmark, our method achieved an impressive AP of 48.5 at a speed of 15.2 FPS using single-scale inference and an exceptional AP of 52.7 with multi-scale inference. Implementing it with the PyTorch framework resulted in a remarkable 97.3% accuracy in successfully detecting faces. Our comprehensive experiments show that Visionary Net surpasses existing models, demonstrating superior detection and recognition capabilities across various evaluation metrics. This innovative algorithm holds significant promise for robust face detection in challenging real-world scenarios. © 2024 IEEE.

关键词： Face recognition

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Implementation of Blockchain Technology to Enhance Data Security for Cloud computing

Implementation of Blockchain Technology to Enhance Data Secu...

引用

advances in computing, communication and networking (ICAC2N), international conference on

作者： Poonam Kumari Meeta Singh Department of Computer Science and Engineering Manav Rachna International Institute of Research and Studies Faridabad Haryana India

ISBN: (数字)9798350356816

ISBN: (纸本)9798350356823

Cloud computing, the fastest-growing IT technology, offers flexibility and scalability with pay-per-use models, but it raises concerns about data security due to third-party storage and online accessibility. Effective cloud security measures are crucial for protecting user data. The Internet of Things (IoT) generates enormous amounts of data that must be efficiently processed and stored in the cloud. Blockchain technology enhances data security through its tamper-resistant distributed ledger and peer-to-peer networks, which allow any node with internet access to join or create networks. To protect sensitive data and maintain its integrity, it is crucial to implement robust encryption, privacy safeguards, access controls, identity management and confidentiality in both cloud and decentralized systems.

关键词： Access control Cloud computing Data privacy Data security Computer architecture Peer-to-peer computing Encryption Internet of Things Protection Identity management systems

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communication and control for Secure Autonomous Connected Vehicles in V2X Architecture - A Review 4

Communication and Control for Secure Autonomous Connected Ve...

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4th IEEE international conference on Smart Technologies in computing, Electrical and Electronics, ICSTCEE 2023

作者： Dilip Chandra, E. Pedapenki, Kishore Kumar Jain Deemed To Be University Electronics And Communication Engineering Bangalore India Jain Deemed To Be University Electrical And Electronics Engineering Bangalore India

ISBN: (纸本)9798350384628

With the recent advances in automotive mobility, Autonomous Connected Vehicles (ACVs) in a platoon are becoming the wave of the future for Intelligent Mobility Systems (IMS). Autonomous Connected vehicles are driverless vehicles that are connected in the Vehicle to Everything (V2X) network infrastructure. Adopting Autonomous Vehicles in a platoon relies on wireless communication (IoT) and utilizing vehicular ad-hoc networks (VANETs). However, these Autonomous Vehicles are prone to security vulnerabilities, cyberattacks and road safety. Vehicular platooning as they rely on wireless communication networks leads to dangerous conditions for driving safety. The development of Autonomous Connected Vehicles (ACVs) has increased the need for secure and efficient communication and control mechanisms in Vehicular-to-Everything (V2X) architecture. This paper comprehensively reviews the recent research on communication and control mechanisms for secure ACVs in a platoon. The review highlights the challenges and opportunities in ACVs' V2X communication and control mechanisms. © 2023 IEEE.

关键词： Autonomous vehicles

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Two-Area Power System with Automatic Generation control Utilizing PID control, FOPID, Particle Swarm Optimization, and Genetic Algorithms 4

Two-Area Power System with Automatic Generation Control Util...

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4th international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2024

作者： Sati, Madan Mohan Kumar, Dinesh Singh, Akhilesh Raparthi, Mohan Alghayadh, Faisal Yousef Soni, Mukesh Graphic Era Hill University Deptt. of Mathematics Bhimtal263136 India Srm Institute of Science and Technology Dept. of Computer Science and Engg. UP Ghaziabad201204 India Uttarakhand Technical University Campus Institute Deptt. of Electrical Engg. Pithoragarh India Alphabet Life Science Software Engineer DallasTX75063 United States Almaarefa Univ Riyadh College of Applied Sci Computer Science and It Department Saudi Arabia Dr. D. Y. Patil Vidyapeeth School of Science and Technology Pune India

ISBN: (纸本)9798350343670

This study aims to present a feasible LFC (Load Frequency control) model that integrates physical security limitations, namely GRC, GDB, and TD. The presence of this characteristic guarantees that the design is not only accurate but also capable of being materialized in a physical form. It is suggested that the traditional PI controller be replaced with a PID controller in order to handle the issues that are posed by large-scale power systems that are interconnected. Developing extremely efficient soft computing approaches that are capable of producing the necessary results for both individual and extensive power systems while taking into consideration flaws in modeling is the goal of this endeavor. It is important to get the frequency deviation to zero while still following the rules set by real issues and different working conditions. In order to maintain the electrical flow between the inter-area tie lines that are located within the various control zones at the schedule values that have been specified. In order to achieve optimal levels of performance in both steady state and transient conditions. The purpose of this is to obtain valuable multiple solutions with the intention of future planning and design. It is important to simplify the robust load frequency control design problem by changing it into a low-order proportional integral derivative (PID) control synthesis problem in order to address the practical benefits. This approach is commonly employed in real-world power systems applications. © 2024 IEEE.

关键词： and TD (Transmission Delay ANN BBBC FOPID GDB (Generation Demand Balance) GRC (Generation Rate Constraint) Load Frequency control (LFC) PID PSO

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Design and implementation of a mechanism to identify and defend against ARP spoofing 14

Design and implementation of a mechanism to identify and def...

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14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Sharma, Meenal Ravichandra, S. National Institute of Technology Warangal Dept. of Computer Science and Engg Warangal India

ISBN: (纸本)9798350335095

One of the most frequently discussed computer security breaches is the Man-In-The-Middle attack(MITM), which is causing significant worry among security professionals. Attackers aim to obtain the data being exchanged between end-points and compromise its integrity and secrecy. In most situations, MITM attacks are primarily based on Address resolution protocol(ARP) poisoning. The primary weakness of ARP lies in its stateless nature. As a result, it is unable to monitor answers to issued queries. In this study, we proposed a novel approach that accomplishes a number of objectives and offers a number of advantages over conventional methods. The objectives of proposed approach are, to strengthen the address resolution protocol so that it becomes a stateful protocol with making a demand depending on the bogus attacker answers received in order to prevent cache poisoning attacks by disregarding the unregister reply and to establish a dependency between the host's Media Access control(MAC) and Internet Protocol(IP) addresses. The objective is to protect the LAN setting not just against MITM attacks, but also against comparable forms of hazards. Experiments were carried out by establishing a virtual network in order to test the functionality of the suggested mechanism. Experiment findings suggest that the proposed method can identify and reduce ARP poisoning. © 2023 IEEE.

关键词： Medium access control

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Traffic-Adaptive Scheme for SDN control Plane with Containerized Architecture 17

Traffic-Adaptive Scheme for SDN Control Plane with Container...

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17th international conference on Ubiquitous Information Management and communication, IMCOM 2023

作者： Khoa, Dang Anh Kiem, Nguyen Trung Kien, Nguyen Trung Tuan, Nguyen Ngoc Thanh, Nguyen Huu School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Viet Nam Conservatoire National des Arts et Métiers Paris France University of Würzburg Communication Networks Würzburg Germany

ISBN: (纸本)9781665453486

Software-Defined networking (SDN) is gaining attention for its flexibility in programmability. It enhances network configuration and provides global visibility for administrators via a single interface. However, the centralized nature of SDN exposes many issues in scalability and resiliency. In this paper, with the advent of cloud computing, we present a containerized architecture capable of fast scaling up and down based on traffic load for SDN control plane. With our novel traffic-adaptive algorithm, the results show that the proposed system is able to fit performance with high incoming new-flow requests and scale down underused controllers for resource efficiency. © 2023 IEEE.

关键词： Scalability

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