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Enhanced Automotive Security System 15

Enhanced Automotive Security System

引用

15th international conference on advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Mohamed Raziur Rahman, M. Dinesh, V. Krishna, N. Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798331300579

Over the last few decades, individual transportation has increased remarkable rate at the worldwide. Increase in crime rate of vehicle theft is now a days, a challenging one. Wide spectrum of vehicle, mainly car is considered in this system. The purpose of this study greatly improves security measures by smoothly integrating face recognition, QR code, anti-spoofing in an Enhanced Automotive Security System. This system will help the individual to secure their vehicle from theft or unauthorized attempt, where the image will be captured by the external camera and it will be immediately sent to the owner of the vehicle, enabling them to take necessary action. By implementing this technique, is affordable when compared to expensive cars. Further QR code methodology is provided for guest access, and anti-spoofing technology is also added to this feature. This security system can be fixed in an affordable way by using, accessible components, such as camera, Raspberry Pi, Arduino, Python library, GSM Module, Relay Module, SD Card Module, Embedded C, YOLOv8 algorithm, QR Code and Chatbot. © Grenze Scientific Society, 2024.

关键词： Crime

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5G the Missing Piece in Digital Transformation of the Construction Sector 28

5G the Missing Piece in Digital Transformation of the Constr...

引用

28th international Computer Science and Engineering conference, ICSEC 2024

作者： Chnaidini, Shaik Khan, M. Jebran Ullah, Fasee Khan, Arafat Ahmad Prashar, Deepak Gulf American University Dept. of Civil Engineering Fujairah United Arab Emirates Sarhad University of Science and Information Technology Dept of Computing and Information Technology Peshawar Pakistan Uinversiti Teknology Petronas Dept. of Computer and Information Sciences Seri Iskandar Malaysia Khonkaen University Dept. of Computer Science Khon Kaen Thailand Lovely Professional University Dept. of Computer Science and Engineering Punjab India

ISBN: (纸本)9798350366860

The 5th generation of wireless technology with a continuum leap rushing towards the future in the world of communication has a puzzle that enables the autonomous machine to work in site making a louder voice that shows the era where even if we cannot be fully robotic, we can make the machines do the work by sitting on a faraway control room. Making ways clear to see the work done miles away on construction sites the 5th generation has not only brought the people close through communication but also made them work collegiately with a clearer view front. The paper discusses 5G and the other related technologies that are emerging all over the world and how it is needed specifically in the construction industry. In the present paper, we tried to shed light on the acceptance and implementation of 5G technology in the construction sector. It is seen that the construction sector in India is lagging behind when it comes to implementation and availability of required support and resources for the 5G implementation. © 2024 IEEE.

关键词： Construction industry

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Identifying XSS Attack using Combined Machine Learning Classifier 14

Identifying XSS Attack using Combined Machine Learning Class...

引用

14th international conference on advances in computing, Control, and Telecommunication Technologies, ACT 2023

作者： Aishwarya, M. Jayanna, H.S. Department of ISE Siddaganga Institute of Technology Tumakuru India

In recent years the number of cyber-attacks is being increased rapidly. There are many unique cyber-attacks emerging day by day that require more attention. One such attack is cross-site scripting (XSS). This attack can be caused by inserting the malicious code on a web page to interact with the attacker’s web server. The attacker can get much useful information about the victim and it is necessary to identify and prevent this type of attack. There are many methods available to detect XSS attacks like using n-grams, machine learning methods, intrusion detection systems (IDS), etc. In this paper, we used Support vector machine (SVM), K-nearest neighbour (KNN), discriminant classifier and proposed a combined classifier that best identifies the attack. © Grenze Scientific Society, 2023.

关键词： Support vector machines

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Efficient UAV Path Planning and Energy Optimization with Cooperative System Model for Vehicular Adhoc Networks

Efficient UAV Path Planning and Energy Optimization with Coo...

引用

2023 international conference on Innovative computing, Intelligent communication and Smart Electrical Systems, ICSES 2023

作者： Veeramuthu, A. Mahalingam, Shalini Ilakkia, T. Sampathkumar, R. Subha, T.D. Sathyabama Institute of Science and Technology School of Computing Department of Information Technology Chennai India St.Joseph's College of Engineering College Department of Computer Science and Engineering Chennai India Sona College of Technology Department of Electrical and Electronics Engineering Tamilnadu Salem India KPR Institute of Engineering and Technology Department of Mechatronics Engineering Coimbatore India R.M.K. Engineering College Department of Electronics and Communication Engineering Tamilnadu Chennai India

ISBN: (纸本)9798350319200

Vehicular Ad Hoc Networks (VANETs) is a highly trending technology which occupies lots of applications of intelligent communications in day to day life. Typically, vehicles in a vehicular network move at rapid speeds with unpredictable mobility, leading to frequent changes in the network's structure. Consequently, this might cause some problems while transmitting data between vehicles. In addition, external activities might lead to data loss. In order to overcome certain drawbacks in recent times ground level to air level data connectivity is concentrated which includes the concept of Unmanned Aerial Networks (UAV). The primary obstacles in the construction of UAV is that its network formation and path finding process. For the purpose of overcoming these kinds of drawbacks in this article effective UAV path planning and the energy optimization (EUPEO) is concentrated in the vehicular communication. Through this process the communication is carried out in an effective manner with intelligent path planning of UAV and as well it reduces the delay and energy consumption. The idea is implemented in ns3 and from the final outcome it is obviously proven that the EUPEO method achieved superior results than previous methods concerned with efficiency and as well the delivery rate of the information transmitted. © 2023 IEEE.

关键词： Effective UAV Path Planning and Energy Optimization Unmanned Aerial Networks (UAV) Vehicular Ad Hoc Networks (VANETs)

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Blockchain Unleashed: Empowering information-centric Network computing in Cloud, Fog, and Edge Services 14

Blockchain Unleashed: Empowering Information-centric Network...

引用

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

作者： Zambre, Pranav Panchal, Mitali Chouhan, Ankit Parul University Dept. of Computer Science and Engineering Vadodara India

ISBN: (纸本)9798350335095

Blockchain technology has been gaining a lot of attention due to its potential to improve data security, privacy, and decentralization. In this paper, we explore the use of blockchain in cloud, fog, and edge computing services. We analyze the unique characteristics of these services and how blockchain technology can enhance them. One of the benefits of blockchain in cloud computing is that it allows for secure and transparent data sharing among multiple parties. Blockchain can ensure the authenticity and integrity of data with smart contracts, which can automate processes and eliminate the need for intermediaries. This can result in cost savings and increased efficiency. In fog computing, blockchain can be used to enable secure and real-time data processing at the network edge. This can improve latency and reduce bandwidth consumption by processing data closer to the source. Additionally, blockchain-based fog computing can provide better data privacy and security for connected devices. Edge computing can benefit from blockchain by providing a trustless environment for data sharing and storage. Edge devices can act as nodes in a blockchain network, allowing for decentralized control and increased security. This can enable new use cases such as peer-to-peer transactions and autonomous decision making. Overall, blockchain has the potential to empower information-centric network computing in cloud, fog, and edge services by providing increased security, privacy, and efficiency. However, there are still challenges that need to be addressed such as scalability, interoperability, and governance. © 2023 IEEE.

关键词： Smart contract

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Optimizing Cloud Energy Consumption Using Static Task Scheduling Algorithms: A Comparative Study 14

Optimizing Cloud Energy Consumption Using Static Task Schedu...

引用

14th international conference on information and communication Systems, ICICS 2023

作者： Khiat, Abdelhamid Research Center on Scientific and Technical Information Networks and Distributed Systems Division Algiers Algeria

ISBN: (纸本)9798350307870

Cloud data centers, comprising a diverse set of heterogeneous resources working collaboratively to achieve high-performance computing, face the challenge of resource dynamism, where performance fluctuates over time. This dynamism poses complexities in task scheduling, warranting further research on the resilience of existing static task scheduling algorithms when deployed in dynamic cloud environments. This study adapts three well-known task scheduling algorithms to the cloud computing context and conducts a comprehensive comparison to assess their resilience to dynamic conditions. The evaluation, employing simulation techniques, analyzes total energy consumption and total response time as key metrics. The results offer detailed insights into the effectiveness of the adapted algorithms, providing valuable guidance for optimizing task scheduling in dynamic cloud data centers. © 2023 IEEE.

关键词： Energy utilization

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Image Processing Techniques for Detecting Steel Defects with MATLAB and Machine Learning 1

Image Processing Techniques for Detecting Steel Defects with...

引用

1st international conference on Advanced computing and Emerging Technologies, ACET 2024

作者： Dankan Gowda, V. Mary, P. Arockia Ramanan, S.V. Kumar, N.M.G. Kumar, Pullela Svvsr Abdullah, Ibrahim Bms Institute of Technology and Management Department of Electronics and Communication Engineering Karnataka Bangalore India V.S.B. Engineering College Department of Information Technology Tamilnadu Karur India Ppg Institute of Technology Department of Electronics and Communication Engineering Tamil Nadu Coimbatore India Mohan Babu University Sree Vidyanikethan Engineering College Department of Electrical and Electronics Engineering Andhra Pradesh Tirupathi India Aditya College of Engineering and Technology Department of Computer Science & Engineering Andhra Pradesh Surampalem India Al-Turath University College Department of Computer Science Baghdad Iraq

ISBN: (纸本)9798350367720

This paper focuses on the detection of surface defects in the steel manufacturing industry since these defects inhibit the quality of the manufactured products and the efficiency of the manufacturing processes. Conventional inspection techniques require a extensive amount of work to be done at the inspection sites and perhaps associated with several kinds of errors. The current research work describes an automated system for determining the defects in the steel using image processing and integrating it with computational intelligence in MATLAB. The proposed method consists of pre-processing where the images are enhanced, feature extraction where characteristics of the defects are obtained and classification utilizing the machine learning models. The efficiency of the proposed approach is proved using experiments on the dataset of steel images and a substantial increase in the precision of the defects' recognition compared to other techniques. Thus, the' findings of the apply demonstrate that the use of image processing and machine learning can offer a strong system for real time defect identification in steel production. © 2024 IEEE.

关键词： Image enhancement

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Blockchain-based Vaccine Distribution Scheme for Future Pandemics 14

Blockchain-based Vaccine Distribution Scheme for Future Pand...

引用

14th international conference on advances in computing, Control, and Telecommunication Technologies, ACT 2023

作者： Aadhitya, A. Manoj, S. Shankar, N. Sumalatha, M.R. Department of Information Technology Anna University MIT Campus Chennai India

The transportation of medicines and vaccines is a crucial aspect of healthcare, but ensuring their integrity during transit can be difficult. This is particularly true for vaccines that require cold-chain preservation to maintain potency and stability. Regulations and guidelines add further complexity, resulting in a need for a reliable, transparent, and secure supply chain. Blockchain-based solutions, particularly those utilizing smart contracts, can provide such a system, allowing real-time monitoring of vaccine movement and facilitating collaboration between governments and healthcare organizations. By registering, tracking, and verifying vaccine supply details, decentralized apps can improve the success of the cold-chain process while ensuring security and transparency in the vaccine supply chain. © Grenze Scientific Society, 2023.

关键词： Vaccines

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An IoT-Based Approach to Monitor the Health of Water Bodies Nearby Indian Villages 1

An IoT-Based Approach to Monitor the Health of Water Bodies ...

引用

1st international conference on computing, Sciences and communications, ICCSC 2024

作者： Singh, Shweta Agarwal, Prashant Gupta, Amit Kumar Bhardwaj, Manish Rishika Nigam, Kratika KIET Group of Institutions Department of Computer Applications Ghaziabad India KIET Group of Institutions Department of Computer Science and Information Technology Ghaziabad India

ISBN: (纸本)9798350353648

In 2018, 351 contaminated river segments in India were identified by the Central Pollution Control Board (CPCB). Thirty-one provinces and the union territories (UT) have rivers and streams that failed to meet the criteria for the evaluation of water quality to identify polluted river lengths. to protect everyone's life on the planet. In recent years, a number of writers have put forth architectural-based solutions that emphasise increased efficiency and adaptability. New sensor capabilities are being created by improvements in sensor detection and communication. Water Quality Monitoring (WQM) is an economical and effective method that uses Internet of Things (IOT) technology to monitor the quality of water. These sensors were interfaced with a Microcontroller Unit (MCU), and additional processing was carried out on a Personal Computer (PC). An IOT-based ThingSpeak application is used to transmit the acquired data to the cloud in order to track the water quality. The accuracy of the prediction is increased with the proposed system, and the power of drawing conclusions is enhanced with IOT technology. © 2024 IEEE.

关键词： Rivers

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Enhancing Diagnostic Precision for Early Detection of Gastric Polyps with U-Net3+ Segmentation 3

Enhancing Diagnostic Precision for Early Detection of Gastri...

引用

3rd Odisha international conference on Electrical Power Engineering, communication and computing technology, ODICON 2024

作者： Patra, Kumar Janardan Mishra, Jibitesh Dash, Sanjit Kumar Jayasingh, Suvendra Kumar Odisha University of Technology and Research Odisha Bhubaneswar India Institute of Management and Information Technology Odisha Cuttack India

ISBN: (纸本)9798350354379

Digestive disorders have become very rampant these days and some of these disorders which include gastritis may cause rise in stomach polyps. It is therefore important to identify these precancerous polyps early in the disease process so that treatment can be taken to ensure they do not grow into cancer. Specifically, in the context of semantic segmentation, there has been growing concern on using deep learning methods. Among them, several segmentation models that have been introduced here have been used in various medical image segmentation tasks. With respect to our research, we investigate semantic segmentation using the U-Net3+ architecture on Kvasir-Sessile, containing 1,200 high resolution endoscopic images of sessile polyps;a diverse set of polyps that challenge segmentation due to their subtle and diverse appearance. We applied U-Net3+ to perform the segmentation of sessile polyps in the Kvasir-Sessile dataset. The increase in the ROC AUC to 0.987, MCC of 0.998, and F1-score to 0.977 from the experiments indicate that our proposed method reaches higher accurate in segmenting sessile polyps from complex endoscopic background. In addition, through qualitative analysis of the segmented images, histogram intersection, Hausdorff distance, and MSE values supported by the visual inspection confirmed precise and accurate segmentation of the various shapes and sizes of polyps. © 2024 IEEE.

关键词： Semantic Segmentation

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