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检索条件"任意字段=3rd International Conference on Distributed Computing and Internet Technology"

共 8188 条记录，以下是241-250 订阅

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Time Stamp to Provide Security to Autonomous Vehicle Using KNN Cluster Algorithm 3

Time Stamp to Provide Security to Autonomous Vehicle Using K...

引用

3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Mohanesh, B.M. Ravish, Roopa Prasad, H.B. Bnm Institute of Technology Bengaluru India Pes University Department of Computer Science Bengaluru India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

This paper is about giving the security to the autonomous vehicle through Time stamp, autonomous vehicle has a semi automatic manual key, the key has one to ten numbers, once he inserts the key person gives the number from one to ten, this number triggers the algorithm present in the number pressed this can be k nearest numbers, using ML algorithm system identifies the K nearest number and the mathematical formula that calculates the password, then the password is displayed on user mobile phone and updated in the autonomous vehicle, for this complete set the amount of time required to get the password must be the distance between the key and the Autonomous Vehicle and the persons mobile. Here the test is the time stamp, if the password generated beyond the time stamp, the password created is not from the user of the autonomous vehicle. © 2025 IEEE.

关键词： Accuracy Clustering algorithms Passwords Manuals Machine learning Nearest neighbor methods Mobile handsets Security internet of Things Autonomous vehicles

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Exploring Deep Learning architectures for Crop and Weed Identification 3

Exploring Deep Learning architectures for Crop and Weed Iden...

引用

3rd international conference on Artificial Intelligence For internet of Things, AIIoT 2024

作者： Akaash Dravid, J. Karthik, R.K. Sreekumar, K. School of Computing Amrita Vishwavidyapeetham Department of Computer Science and IT Kochi India

ISBN: (纸本)9798350372120

In agriculture, weeds always prove to be a major threat. It is tedious to do weeding at a later stage when the crops and the weeds are significantly grown. Incorporating technology in agriculture has revolutionized both industries in many ways. In the AI approach towards agriculture, neural networks are employed for identifying and classifying crops and weeds. However, what features they learn, how they learn the difference between crops and weeds is what we need to investigate. Many vegetable crop seedlings and weeds look similar, so a significantly large amount of data is necessary for the model to classify them. In this paper we are using CNN (Convolutional Neural Networks) and Efficientnet architectures to classify the crops and weeds. We further analyze the computational efficiency and model complexity of the architectures, providing insights into their practical applicability in real-world agricultural settings. This helps in better understanding of deep learning techniques and selecting features to perform this task. We have obtained an accuracy of 91% for CNN architecture and 99% for both B3, B4 of EfficientNet Architecture. © 2024 IEEE.

关键词： Crops

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Decentralized Home computing Network: Leveraging IaaS, PaaS, and SaaS for Passive Income Generation with Kubernetes Clusters 3

Decentralized Home Computing Network: Leveraging IaaS, PaaS,...

引用

3rd international conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Rahul Raj, R. Thenmozhi, S. Pes University Department of Computer Applications Bangalore India

ISBN: (数字)9798350369083

ISBN: (纸本)9798350369083

The Home computing Network (HCN) presents a fundamental transformation in computing infrastructure. It addresses longstanding inefficiencies in the conventional models like under utilization of computer resources. Motivated by the need to mitigate these and other issues of centralized systems, this paper proposes a robust Kubernetes-based decentralized network. This paper also proposes a way to generate income while alleviating problems of the traditional model. This proposal integrates distributed computing mechanisms to fully utilize idle computational power, enabling individuals and enterprises to generate passive income. Through experimental results and performance metrics, the paper demonstrates HCN's efficacy in optimizing resource utilization, scalability, and task orchestration. Additionally, the compatibility with containerization platforms like Docker expands its applicability across various scenarios. © 2024 IEEE.

关键词： Infrastructure as a service (IaaS)

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distributed Energy Data Sharing and Privacy Protection Based on Blockchain technology 3

Distributed Energy Data Sharing and Privacy Protection Based...

引用

3rd IEEE international conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024

作者： Anqing, Chen Haiyu, Lin Ruoxue, Wang Bin, Wang Zhenghai, Xiao State Grid Info-Telecom Great Power Science and Technology Co. Ltd. Fujian Fuzhou350003 China Fuzhou Power Supply Company of State Grid Fujian Electric Power Company Fuzhou350009 China

ISBN: (纸本)9798350380989

Energy internet must be realized on the premise of broad consensus and trust among the participants, therefore, there is an urgent need for a technology that can not only easily and quickly construct distributed applications, but also achieve trusted interaction at a low cost. Aiming at the improvement of the underlying technology and architecture of blockchain in the current energy blockchain research field and analyzing the existing defects, this paper uses a distributed blockchain underlying architecture for energy trading scenarios. In this paper, considering the characteristics of energy transactions concentrated in geographical locations, a transaction scheme based on hierarchical construction of the general ledger by the main sub-chain is presented. The paper studied the transaction confirmation path and data fragmentation storage strategy based on concurrent construction for massive energy transaction data. In different cases, the above scheme is realized and its effect is verified. Compared with photovoltaic power generation, the situation of wind power generation would have some differences, the peak of wind power generation in the afternoon, the user's power generation at 14 o'clock., 15 o'clock peak. In this paper, the key data structure, key algorithm, technical implementation and automated distributed trading scheme in the energy trading scenario are preliminarily described, and their key performance indicators are tested. The key technologies in this paper can be better applied to the energy trading scenario. © 2024 IEEE.

关键词： Blockchain technology Energy Data Sharing Privacy Protection Storage Strategies Transaction Data

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Analysis of Lung Cells with a Novel Segmentation Methodology Using FCN and Deeplab V3 3

Analysis of Lung Cells with a Novel Segmentation Methodology...

引用

3rd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Ramya, J. Poongodi, A. Vels Institute Of Science Technology And Advanced Studies Department Of Computer Sciences Chennai India

ISBN: (数字)9798350318609

ISBN: (纸本)9798350318609

One of the primary causes of death globally, cancer is estimated to have affected more people in less developed nations than in more developed ones throughout time in terms of both cases and mortality. The unchecked growth of abnormal cells that begins in one or both of the lungs is known as lung cancer. The tumors impede the lungs' capacity to provide oxygen to the circulation as they enlarge. Medical images are analyzed using image processing, machine learning, and other technologies to help in early illness identification and treatment. When it comes to diseases like cancer, time is of the essence and should be investigated as soon as feasible. To diagnose lung cancer, we suggested a novel hybrid segmentation technique in this work. Using a fully convolutional network (FCN) and DeeplabV3,we were able to separate lung cancer cells hybridly. According to the findings, our approach performs well and is very accurate when compared to other currently used approaches. The proposed hybrid FCN with the Deeplabv3 model segments the input lung image with foreground and background with 93% and 97% of accuracy. And also shows 86% of IOU and 93% of the score showing the system performs well in the lung cancer segmentation process. © 2024 IEEE.

关键词： Median filters

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Smart Environment Monitoring Using internet of Things and Big Data 3

Smart Environment Monitoring Using Internet of Things and Bi...

引用

3rd international conference on Pervasive computing and Social Networking, ICPCSN 2023

作者： Gupta, Neelesh Kumar Mishra, Achyutanand Shukla, Pavan Kumar Sharma, Ankur Pandey, Shweta Ajay Kumar Garg Engineering College Ghaziabad India Saupal Engineering College Supaul India Noida Institute of Engineering and Technology Greater Noida India Institute of Technology and Science Ghaziabad India Law College of Dehradun Uttaranchal University Dehradun India

ISBN: (纸本)9798350322842

With the advent of sophisticated technologies, big data, and the internet of things (IoT), environmental supervision has evolved it in to a smart environment monitoring (SEM) technology in recent decades. In light of that one, the current work seeks to complete a thorough assessment of meaningful advances and scientific researches on SEM that focus on the environmental monitoring, pollution levels, radiation contamination, or agricultural systems. In this study, tools rely on big data and the internet of Things (IoT) for sensing devices is reviewed. The objective is to pinpoint the main application domains, modern developments, data structures, and persistent problems in these areas. The findings show that big data and IoT technology convergence opens up intriguing possibilities for actually smart corresponding input for detecting, safeguarding, and enhancing environmental capital. As a beginning point for future scientific research in IoT technology and surroundings, the study sums up the techniques most frequently utilised in big data & IoT as last step. © 2023 IEEE.

关键词： Big data

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Design and Implementation of Fuzzy-Based Natural Routing System for Mobile internet of Things 3

Design and Implementation of Fuzzy-Based Natural Routing Sys...

引用

3rd international conference on High Performance computing and Communication Engineering, HPCCE 2023

作者： Qi, Cai National Grid Henan Provincial Electric Power Company Information Communication Branch Zhengzhou China

ISBN: (数字)9781510674653

ISBN: (纸本)9781510674646

Mobile internet of Things is an internet application based on satellite positioning technology, wireless sensor networks and communication networks. With the popularity of mobile terminal devices, people's demand for mobile internet of Things is also growing. In response to this trend, this article proposes an optimization design method based on fuzzy algorithm, which can be used for natural node evaluation and route selection, thereby realizing data interactive processing functions in the two processes of intelligent path identification and real-time dynamic route query. Moreover, this article designs a natural router system for the mobile internet of Things, and conducts relevant test simulations on the basic performance of the system. The test results are as follows: the average delay of the system is between 137ms-175ms, and the response time is between 121ms-185ms;the overall throughput is between 2314k-3235k;the overall network coverage is basically above 90%. © 2024 SPIE.

关键词： internet of things

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A Novel Simulated Approach to Secure Multi-Tenant distributed Systems using Anomaly Score based Virtual Machine Live Migration 3

A Novel Simulated Approach to Secure Multi-Tenant Distribute...

引用

3rd IEEE international conference on Blockchain and distributed Systems Security, ICBDS 2024

作者： Patil, Pravin Kale, Geetanjali Karmarkar, Tanmay Pune Institute of Computer Technology Department of Computer Engineering Maharashtra Pune India

ISBN: (纸本)9798350354348

Now a days, cloud computing services are being used exponentially which in turn increases in multi-tenant distributed service(MTDS). Targeted attacks in MTDS propagated through side channel, shared memories, network access, and configuration. These attacks could be discovered after analyzing side channel data. This paper proposes a novel anomaly approach for virtual machine placement (VM) considering anomaly scores of VM and the CPU utilization of the servers. The result reveals that the proposed approach ensures secure VM migrations among the servers during VM placement, and also ensures that the MTDS environment remains secure. © 2024 IEEE.

关键词： Virtual machine

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NeuroAqua: Developing an Optimized Artificial Intelligence and internet of Things-based Aquaponics System 3

NeuroAqua: Developing an Optimized Artificial Intelligence a...

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3rd international conference on computing and Machine Intelligence (ICMI)

作者： Jiang, William Liu, Jayden Harker Sch San Jose CA 95124 USA

ISBN: (纸本)9798350372977;9798350372984

This paper aims to solve challenges concerning cost, manual labor, and efficiency in aquaponics by designing and implementing NeuroAqua, an optimized and automated AI and IoT-based aquaponics system, in both a lab setting (small-scale) and a field setting (large-scale) in Ouroboros Farms in Half Moon Bay, CA. In the system, wireless sensors monitor key factors for system effectiveness and send data to a cloud database. NeuroAqua integrates 6 types of sensors, collecting data regarding the environment, water, and nutrients, such as air temperature, humidity, pH, light, Nitrogen, Phosphorus, Potassium, and Total Dissolved Solids. Camera module sensors were also developed to capture and monitor plant growth automatically. These 6 types of sensors were implemented in both settings and successfully collected 8 plant growth samples (2 types of plants in 4 different settings) each across 2 weeks from NeuroAqua. NeuroAqua transformed the data from the sensors into a structured database, which was fed to the machine learning (ML) models for data analysis. It also feeds data to our online monitoring system and sends out alarms when the tested values fall below or exceed the normal range. NeuroAqua is the first aquaponics system to implement a comprehensive automatic machine learning system into a real farm setting.

关键词： Aquaponics AI internet of Things Sustainable Agriculture Automatic Farming Smart Sensors

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Statistical analysis of the Beta distributed random light field 3

Statistical analysis of the Beta distributed random light fi...

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3rd international conference on Applied Mathematics, Modelling, and Intelligent computing, CAMMIC 2023

作者： Wen, Xinyu Zhang, Bozhen Wang, Ying Wang, Wei Department of Physics Jiangsu University of Science and Technology Zhenjiang212003 China School of Engineering and Physical Sciences Heriot-Watt University EdinburghEH14 4AS United Kingdom

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

The Beta distribution can effectively describe the non-Gaussian statistical characteristics of the electromagnetic scattering. Conventional random electromagnetic fields always implicitly assume that the number of steps is infinite, but in practice, it is finite. In this paper, we investigate the statistical properties of the Beta distributed random light field, and analyze the new statistical theory by combining the resulting probability density function distribution of the Stokes parameters. © 2023 SPIE.

关键词： Probability density function

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