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检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

共 10988 条记录，以下是461-470 订阅

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Investigation into Applicability of Blockchain technology in Healthcare Systems 7

Investigation into Applicability of Blockchain Technology in...

引用

2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Gupta, Lakshya Girotra, Sahil Lehal, Jashmeet Singh Sharma, Krishna Ahmed, Suhaib Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350304268

Blockchain technology has gained reputation over the years, and its potential in revolutionizing the world is absolute. Blockchain offers enhanced security, transparency, credibility, and authenticity in storing data. the foundation of blockchain is removing the central governing authority and making the network decentralized. the healthcare sector primarily faces issues like security, accessibility, and shareability. Blockchain technology has the potential to address these numerous challenges facing the industry such as medical data privacy and management of records of drugs and medical devices supply chain, clinical trials, and insurance claims to improve good health and wellbeing in general. this review paper provides a comprehensive overview of blockchain and its applications in the healthcare industry. this paper explores the fundamental concepts of blockchain such as decentralized and distributed digital ledger technology, consensus algorithms, smart contracts, and cryptography and security. Further, the paper discusses the application of blockchain technology in the healthcare sector such as MedRec and HealthChain. Finally, the paper summarizes the significant contribution that blockchain technology has in solving the challenges faced by the industry and leading the healthcare sector to a brighter future. © 2023 IEEE.

关键词： Blockchain Drug Delivery Health Insurance Healthcare Supply Chain Management

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Cognitive Complexity Reduction through Control Flow Graph Generation 7

Cognitive Complexity Reduction through Control Flow Graph Ge...

引用

7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Wijendra, Dinuka R. Hewagamage, K.P. Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka University of Colombo School of Computing Department of Information Systems Colombo Sri Lanka

ISBN: (纸本)9781665421683

the cognitive complexity of a software determines the human comprehension effort to determine its underlying logic. the human comprehension effort preliminary depends on the person, who deals with the software, the source code and the problem to be addressed. the understandability of a given source code is varying with each user such that the cognitive complexity results with a subjective measurement. the graphical representation of the logical behavior of a source code implies the individual to comprehend the logic easily rather than referring to its original code base. this paper evaluates the possibility of using control flow graph representation to reduce the cognitive complexity of a given source code, thereby ensuring a less software complexity. © 2022 IEEE.

关键词： Graphic methods

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Research on Battlefield-Oriented Flight Ad Hoc Network Based on Mobile Edge computing 2

Research on Battlefield-Oriented Flight Ad Hoc Network Based...

引用

2nd IEEE international conference on Software engineering and Artificial Intelligence (SEAI) / 7th international Workshop on Pattern Recognition (IWPR)

作者： Yu, Sicong Fan, Yang Zheng, Huiji Ma, Caihong Engn Univ PAP Informat Engn Coll Xian Peoples R China

ISBN: (数字)9781665482233

ISBN: (纸本)9781665482233

With the exponential increase in the number of mobile devices in the battlefield environment, UAV technology and edge computing technology have been widely used in battlefield command and communication processes. Based on this, this paper proposes a battlefield-oriented Flying ad-hoc networks based on mobile edge computing (FAN-MEC), and combines Software Defined Network (SDN) technology to optimize the network architecture. At the same time, this paper introduces the functional architecture and command architecture of the network, and finally introduces the related research on key technologies.

关键词： FAN-MEC SDN FANET MEC

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Identification of Melanoma Lesions using Deep Learning Networks and Cloud computing 7

Identification of Melanoma Lesions using Deep Learning Netwo...

引用

7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Shiney, Dasari Elsie Gnana Sri, Palanki Nithya Kornepati, Purna Anjaneya Kumar Divya, Talasilla Sri Manoj, Motepalli Sasi Sai Seshadri Rao Gudlavalleru Engineering College Department of Information Technology Andhra Pradesh India

ISBN: (纸本)9798350397253

An integration of computer vision algorithms, machine learning, and deep learning to extract information from digital photos is particularly important in dermatology for the early identification and treatment of diseases like melanoma. Two very important issues in the field of melanoma detection research are discussed in this article. the first argument highlights the importance of performing regular training and testing cycles, as well as the risks associated with transfer learning when even little changes to dataset parameters might affect classifier performance. To address the second point's call for a system architecture that can adapt to shifting training datasets, proposed a Cloud-Fog-Edge computing hybrid architecture for a Melanoma Detection service. the distributed technique considerably shortens the running time of continuous retrain, as shown by studies done on both a single computer and a variety of distribution systems. © 2023 IEEE.

关键词： Deep learning

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Identification of an Animal Footprint with time prediction using Deep learning 7

Identification of an Animal Footprint with time prediction u...

引用

7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Kavitha, C. Hemanath, C. Praveen Raj, B. Sridevi, N. Hemalatha, C. Department of Information Technology IFET College of Engineering Villupuram India Department of IT Department of Information Technology IFET College of Engineering Villupuram India Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9781665464086

this research work addresses issues related to developing an effective and efficient Animal Footprint, classification and tracking system. Successful attempts towards developing algorithmic models for animal segmentation, Animal Footprint, classification and tracking are made. To support the effective classification of animals, two methods are proposed to segment animal image from its background. the proposed animal segmentation algorithm is evaluated using region-based performance measures. A classification model is also proposed based on different features and classifiers. the different features like colour, Gabor and LBP are extracted from the segmented animal images. In addition, a system has been proposed to classify animals in images and videos by using a deep-learning approach. Initially, features are extracted from images/frames using AlexNet pre-trained probabilistic neural network. Later, the extracted features are fed into a multi-class probabilistic neural network classifier for classification. © 2023 IEEE.

关键词： Support vector machines

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Adversarial Attack and Defense on Machinery Fault Diagnosis 7

Adversarial Attack and Defense on Machinery Fault Diagnosis

引用

7th IEEE international conference on Information Systems and Computer Aided Education, ICISCAE 2024

作者： Jia, Jiazhen Fu, Songyin Yan, Diqun College of Information Science and Engineering Ningbo University Ningbo China Information Center Ningbo University Ningbo China

ISBN: (纸本)9798350350760

In the field of mechanical fault diagnosis, deep learning models have demonstrated strong performance. However, limited focus has been directed towards the robustness of these models in resisting adversarial attacks. In this research, we concentrate on adversarial attacks aimed at deep learning-based machinery fault diagnosis systems, investigating both untargeted and targeted conditions. Experimental results reveal a significant reduction in the performances of typical deep learning-based models following adversarial attacks. Additionally, an effective defense scheme employing data normalization is proposed to protect victim models. this study provides a pioneering examination of adversarial examples in machinery vibration signals, contributing to the development of protection methods against adversarial attacks and the enhancement of deep learning-based model robustness. ©2024 IEEE.

关键词： Adversarial machine learning

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Securing the Skies: An UAV-Based Framework for Safe and Authenticated Product Delivery Using QR Codes 7

Securing the Skies: An UAV-Based Framework for Safe and Auth...

引用

7th international conference on Electronics, Materials engineering and Nano-technology, IEMENTech 2023

作者： Saha, Sumit Pati, Soham Majumder, Arpan Bhanja, Souvik Sen, Gobinda Banerjee, Subhabrata Institute of Engineering & Management Dept. of Electronics and Communication Engineering Kolkata India

ISBN: (纸本)9798350305517

Advancements in the field of Image processing, remotely controlled Unmanned Aerial Vehicle (UAV) and battery technologies it has become a promising solution to the modern world when it comes to surveillance and product delivery. In this study a framework is designed with a UAV and Quick Response (QR) verification system where the route and the mission planning of the UAV are set by an operator using a computing device equipped with the UAV. Where onwards the UAV continue its mission and reaching to a particular delivery location the QR Scanner become online and upon successful scanning and verification the chamber gets opened and the product gets delivered. the UAV drone then continues to the next set of waypoints by following the same protocol. the drone ensures a smooth and effective mission execution by returning to its home location after completing the entire journey. the successful execution of the delivery task was greatly aided by the use of the QR verification method that employed in this study. © 2023 IEEE.

关键词： Drones

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Two-Phase Device Authentication Scheme for Request-Response computing 7

Two-Phase Device Authentication Scheme for Request-Response ...

引用

7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Jain, Usha Hussain, Muzzammil Jhorar, Komal University Department of Cse Bengaluru India Central University of Rajasthan Department of Cse Ajmer India

ISBN: (纸本)9781665421683

Request-response computing is a model of communications in which a client requests for service and the server responds with response. It is a model that is most widely used in modern day computing and is more reliable and resource aware. Security is a prime concern in this model of computing, where malicious entities may gain access to crucial data and resources illegitimately. An efficient authentication mechanism may establish a secure communication channel between client and server and avoid illegitimate access of resources. Here, we propose a two-phase authentication mechanism using address binding for securing the communications between clients and server. the first phase of binding is done using cryptographically generated address (CGA) and for the second phase, we have designed a novel Mathematically Generated Address (MGA), in which IPv6 address are masked using mathematical operations and it is lightweight and secure. the proposed mechanism is secure and efficient and is verified in security analysis and performance evaluation as well. the proposed mechanism is evaluated for security and performance and its analysis has found that the proposed mechanism works efficiently in terms of security and time in comparison to the existing mechanism. © 2022 IEEE.

关键词： Authentication

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Recent Developments in MIMO Antenna Architectures and their Future Directions 7

Recent Developments in MIMO Antenna Architectures and their ...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Judice, Antony Malhotra, Shivani Sharma, Manish Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350372816

Multiple-Input-Multiple-Output technology has been instrumental in the way we communicate wirelessly. It is a key factor in the overwhelming growth of modern communication systems, providing higher data transfer and improved performance. MIMO technology utilizes multiple antennas at the transmitting and receiving ends to increase the capacity of wireless communication networks and improve signal quality. this allows for faster data transfer speeds, more reliable connections, and better overall coverage. With its ability to transmit multiple data streams simultaneously, MIMO technology is rapidly becoming a key enabler for next-generation wireless communication systems. With regards to the multi-functionality in wireless communications and providing a high data rate MIMO technology is very vital. It reduces multipath fading and consumes less power. Apart from the challenges of Isolation, antenna miniaturization must be the game changer. Designing Antennas concerning multiband and wideband performance requirements is simultaneously being proposed by many researchers. At 5G network establishments, MIMO Antennas are inevitable and it provides impeccably better results compared to the conventional Antennas. this paper addressed the recent developments in MIMO technology in a brief manner. © 2024 IEEE.

关键词： Multipath fading

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A Hierarchical Traffic Sign Image Recognition Algorithm Keeping the Local Topology 7

A Hierarchical Traffic Sign Image Recognition Algorithm Keep...

引用

7th international conference on Advanced Algorithms and Control engineering, ICAACE 2024

作者： Liu, Longhui Gong, Wenhui Wang, Wenjie Zeng, Zhiqiang Li, Wei Xiamen Global Navigation Satellite System Development & Application Co. Ltd. Xiamen China School Of Computer And Information Engineering Xiamen University Of Technology Xiamen China

ISBN: (纸本)9798350361445

Traffic sign recognition is crucial in enabling intelligent driving. this paper proposes a robust hierarchical traffic sign image recognition algorithm that maintains local topology. the algorithm is divided into two matching levels: rough matching and fine matching. the multi-scale image's Oriented Fast and Rotated BRIEF (ORB) [1] are extracted in coarse matching. Hamming distance is adopted to measure the similarity of feature points to execute rough and fast matching. In precise matching, the matched candidate feature points are further filtered using the number of features of surrounding points, that is, the Shape Context [2] feature, to achieve precise matching. this hierarchical matching method maintains the local topological characteristics of the image while performing robust and fast matching. In the experiment, the data set provided by Changsha University of Science and technology was used to assess the performance of the algorithm presented in this article. © 2024 IEEE.

关键词： Traffic signs

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