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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30780 条记录，以下是1511-1520 订阅

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distributed Machine Learning through Transceiver Competitive Connectivity of Remote computing systems 11

Distributed Machine Learning through Transceiver Competitive...

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11th international Scientific conference on Computer Science, COMSCI 2023

作者： Slavov, Danail Hristov, Vladimir Slavova, Anastasiya Technical University of Sofia Faculty of Automatics Department of Electrical Motion Automation Systems Sofia Bulgaria

ISBN: (纸本)9798350325256

An architecture is built for sequential data transmission among individual machines participating in a decentralized distributed machine learning of a convolutional neural network for image classification. Simultaneously running multiple replicas of a machine learning task using TCP communication protocol has been successfully implemented. A unification of the final result of each epoch until the end of the training session is performed on each of the participating machines in the training process. A working image classification model is obtained on all machines involved in the process. The results from the experiments performed herein show a 63% improvement in training speed for the fastest configuration with only a 3% drop in accuracy compared to the most accurate one. The study therefore confirms that the use of distributed learning systems can have significant benefits for the AI researchers and practitioners. © 2023 ieee.

关键词： Machine learning

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The Role of IOT in Creating SC'S through Ultra Fast Updation of the Status for Accurate Action Plan 4

The Role of IOT in Creating SC'S through Ultra Fast Updation...

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4th ieee international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Hariharasudhan, S. Subasree, S. Bhuvaneswari, M. Victor, Mekvin Kumar, Rintu Kumar, K. Sambath Prince Shri Venkateshwara Padmavathy Engineering College Department of Information Technology India Nehru Institute of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu T.M. Palayam India Karpagam Academy of Higher Education Department of Biomedical Engineering TN Coimbatore India Christ University School of Business and Management Bangalore India Ies University Department of Mech Engg Ies Institute of Technology and Management M.P. Bhopal462044 India Chennai Tamil Nadu Avadi India

ISBN: (纸本)9798350360165

The idea of a smart city includes the merging of technologies and advances aimed at improving urban efficiency, scientific progress, the preservation of the environment, and social inclusion. Coined in the year 2000, the term became widely used in politics, business, management, and urban planning groups to drive tech-based changes in urban areas. It reacts to the difficulties posed by postindustrial communities handling problems such as pollution to the environment, demographic changes, population growth, health care monetary crises, and resource shortages. Beyond technical answers, the smart city idea includes non-technical innovations for healthy urban life. Particularly encouraging is the application that uses Internet of The circumstances (IoT)based sensors in healthcare, applying machine learning for effective data management. This paper discusses the application of AI-powered Ai and Wireless sensor Networks, more commonly known as the field of health care, acting as a basic study to understand the impact of IoT in smart cities, especially in healthcare, for the sake of future research. © 2024 ieee.

关键词： AI-powered systems blockchain data management healthcare IoT machine learning smart cities smart technology urban efficiency wireless sensor networks

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From distributed Sensing to Virtual sensors: a Domain-Specific Language for Reactive Centralized Edge-Fog-Cloud Computation 20

From Distributed Sensing to Virtual Sensors: a Domain-Specif...

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20th ieee international conference on Embedded and Ubiquitous computing (EUC)

作者： Damiani, Andrea Rabozzi, Marco Chen, Kaixi Matteo Di Tucci, Lorenzo Santambrogio, Marco D. Politecn Milan DEIB Milan Italy Huxelerate Srl Milan Italy

ISBN: (纸本)9798350396355

The widespread application of specialized embedded devices and their ever-growing sensing capabilities lead to an overload of raw data reaching the Cloud via the Internet of Things. Despite this massive amount of available data, data-driven applications still produce a limited impact on the real world. We argue that this limitation arises from the complexity the developers still face when engineering and deploying solutions on a plurality of embedded devices. Instead of focusing on constructing valuable information from raw data and designing algorithms to exploit it, the developers still have to figure out on their own: how to partition the computation between Edge, Fog, and Cloud;how to move partial results around in highly distributed solutions;how to create abstract interfaces to expose information-rich endpoints. This paper introduces the Virtual sensor Domain-Specific Language (DSL), which builds the keystone for designing and developing powerful Computer-Aided Design tools and Integrated Development Environments to support the developers in focusing on information manipulation. The Virtual sensor DSL is built on top of C++ to ease its adoption by the embedded development community. It introduces a reactive approach to data collection, technology mapping, and workload distribution. It allows the creation of adaptable Virtual sensors, streaming processed information coming from the integration of multiple raw data streams, and it comes with integrated simulation capabilities, supporting prototyping. In this paper, we describe the entities the language offers, how the developers can exploit them, and analyze a real-world use case that benefitted from the Virtual sensor DSL.

关键词： domain-specific language virtual sensor reactive programming

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Adaptive Defense Mechanisms Against Zero-Day Attacks in Wireless sensor Networks

Adaptive Defense Mechanisms Against Zero-Day Attacks in Wire...

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2024 international conference on distributed systems, Computer Networks and Cybersecurity, ICDSCNC 2024

作者： Chaturvedi, Abhay Kukreti, Sanjeev Durga Bhavani, A. Nizampatnam, Venkata Naga Ravi Kiran Kaur, Davinder Natrayan, L. Gla University Department of Electronics & Communication Engineering Chaumuhan India Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Bms Institute of Technology and Management Department of Computer Science and Engineering Bengaluru India Expert Network Security Engineer Acxiom Llc Department of Computer Networks AustinTX United States Symbiosis Law School Department of Law Pune India Saveetha School of Engineering Simats Department of Mechanical Engineering Kuthambakkam India

ISBN: (纸本)9798350375442

Important fields including healthcare, environmental monitoring, and military operations are seeing a rise in the use of wireless sensor networks (WSNs). But they are susceptible to complex cyber dangers, especially zero-day assaults, due to their dispersed nature and lack of resources. In order to protect WSNs against zero-day attacks, this research introduces an Adaptive Defense Mechanism (ADM). A dynamic response system that can adjust to changing attack patterns in real-time is integrated with machine learning-based anomaly detection in the proposed ADM. A hybrid model integrating Support Vector Machines (SVM) and Long Short-Term Memory (LSTM) networks is used by the anomaly detection module. It achieves a detection accuracy of 94.7% on simulated zero-day assault scenarios. In comparison to static defensive systems, the ADM's adaptive response mechanism, which is based on reinforcement learning, dynamically modifies the network's security regulations, resulting in a 23.5% reduction in false positives. Results from testing the proposed ADM in a simulated WSN setting show that it can greatly improve the network's ability to withstand zero-day assaults. With assaults present, the total network throughput increased by 15% and the average detection time dropped to 0.35 seconds. Based on these findings, the ADM provides a strong and effective defensive technique, guaranteeing the safety and dependability of WSNs in mission-critical applications. © 2024 ieee.

关键词： Zero-day attack

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Smarter Way to Monitor and Detect Intrusions in Cloud Infrastructure using sensor-Driven Edge computing 5

Smarter Way to Monitor and Detect Intrusions in Cloud Infras...

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5th ieee international conference on computing, Power, and Communication Technologies, IC2PCT 2024

作者： Venkateswara Reddy, B. Khader Basha, S.K. Polanki, Kusuma Vellela, Sai Srinivas Dalavai, Lavanya Vuyyuru, Lakshma Reddy Kumar, K. Kiran Chalapathi Institute of Technology Dept. of CSE-Cyber Security AP Guntur India Chalapathi Institute of Technology Dept. of CSE-Data Science AP Guntur India Chalapathi Institute of Technology Dept. of Cse AP Guntur India Koneru Lakshmaiah Education Foundation Dept. of Cse AP Vaddeswaram India

ISBN: (纸本)9798350383522

In today's linked world, essential infrastructure must be protected from unauthorized access. Traditional security measures often depend on closed-circuit television (CCTV) systems for perimeter monitoring. However, developing technologies provide substantial opportunity for improving security standards. This study presents a novel technique for achieving enhanced real-time, long-range object monitoring capabilities by combining modern edge computing and a varied spectrum of sensors, including LiDAR (Light Detection and Ranging) and ultrasonic sensors. LiDAR and ultrasonic sensors outperform traditional video cameras by offering real-time, long-range object monitoring capabilities, making them suitable for critical infrastructure security. However, these sensors create complex 3D point cloud data, which presents issues for data transmission and storage. To overcome this problem, we suggest implementing an enhanced edge computing architecture. The suggested architecture optimizes data transmission by compressing and centralizing point cloud data at the network's edge. This strategy reduces the demand on network resources by transferring computing activities to edge devices, allowing for real-time monitoring. Furthermore, the optimized data is smoothly transported to cost-effective Cloud-based servers provide effective resource utilization while protecting the security system. This research not only introduces a novel security paradigm for critical infrastructure but also contributes to the wider discourse on edge computing applications. By combining advanced sensors and edge computing technology, our approach not only enhances security but also ensures scalability, cost-effectiveness, and real-time responsiveness. The findings of this study have significant. Implications for the design and implementation of future security systems, emphasizing the importance of leveraging cutting-edge technologies to safeguard vital assets and infrastructure. © 2024 ieee.

关键词： 3D Object Detection Data Processing Edge computing Facility Security LiDAR Ultrasonic Technology

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SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations 20

SmartSPEC: Customizable Smart Space Datasets via Event-drive...

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20th ieee international conference on Pervasive computing and Communications (ieee PerCom)

作者： Chio, Andrew Jiang, Daokun Gupta, Peeyush Bouloukakis, Georgios Yus, Roberto Mehrotra, Sharad Venkatasubramanian, Nalini Univ Calif Irvine Dept Comp Sci Irvine CA 92697 USA IP Paris Dept Comp Sci Telecom SudParis Paris France Univ Maryland Baltimore Cty Dept Comp Sci & Elect Engn Baltimore MD 21228 USA

ISBN: (纸本)9781665416436

This paper presents SmartSPEC, an approach to generate customizable smart space datasets using sensorized spaces in which people and events are embedded. Smart space datasets are critical to design, deploy and evaluate robust systems and applications to ensure cost-effective operation and safety/comfort/convenience of the space occupants. Often, real-world data is difficult to obtain due to the lack of fine-grained sensing;privacy/security concerns prevent the release and sharing of individual and spatial data. SmartSPEC is a smart space simulator and data generator that can create a digital representation (twin) of a smart space and its activities. SmartSPEC uses a semantic model and ML-based approaches to characterize and learn attributes in a sensorized space, and applies an eventdriven simulation strategy to generate realistic simulated data about the space (events, trajectories, sensor datasets, etc). To evaluate the realism of the data generated by SmartSPEC, we develop a structured methodology and metrics to assess various aspects of smart space datasets, including trajectories of people and occupancy of spaces. Our experimental study looks at two real-world settings/datasets: an instrumented smart campus building and a city-wide GPS dataset. Our results show that the trajectories produced by SmartSPEC are 1:4x to 4:4x more realistic than the best synthetic data baseline when compared to real-world data, depending on the scenario and configuration.

关键词： smart space sensor simulation trajectory

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An Improved Soft computing based Congestion Control in Routing the Data in Wireless sensor Network 2

An Improved Soft Computing based Congestion Control in Routi...

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2nd international conference on Electronics and Renewable systems, ICEARS 2023

作者： Manojkumar, K. Devi, S. Prist Deemed to Be University Department of Computer Science and Engineering Tamil Nadu Thanjavur India Sree Venkateswara College of Engineering Departmtnt of Electronics and Communication Engineering Andhra Pradesh Nellore India

ISBN: (纸本)9798350346640

The congestion control is defined as a contrivance that is used to control and monitor the entry of data packets into the network. This helps to enhance and develop a better infrastructure in the communication network. The wireless sensor network is a communication network with infrastructure that are accompanied with less wireless network that is composed of innumerable nodes that are transportable through several instructions in the system. The nodes are interconnected in the communication system with each other in random fashion. The congestion is denoted as a decrease in the quality of service (QOS) in network that results in packet loss and new connections in the network may get blocked. The congestion can be prevented by implementing open loop congestion control policies. This can be controlled by the source or through the destination. This happens when there is a shortage in the buffer space. The soft computing based congestion control in routing the data is done through the following techniques that are classified as fuzzy logic system, artificial neural network, game theory based and particle swarm optimization techniques. © 2023 ieee.

关键词： Quality of service

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Digital Twin Space: The Integration of Digital Twins and Data Spaces

Digital Twin Space: The Integration of Digital Twins and Dat...

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2023 ieee international conference on Big Data, BigData 2023

作者： Somma, Alessandra Benedictis, Alessandra De Zappatore, Marco Martella, Cristian Martella, Angelo Longo, Antonella University of Naples Federico II Naples Italy University of Salento Lecce Italy

ISBN: (纸本)9798350324457

Digital Twins (DTs) are the novel paradigm for the development of Cyber-Physical systems. The state of art presents several use cases in different domains, and one of the most complex examples is represented by the Urban Digital Twin (UDT), which aims to virtualize urban assets (e.g., buildings, mobility infrastructures, energy grids, waste management facilities, etc.) and build advanced analysis and prediction services upon a city's digital representation. UDTs represent a formidable example of system of systems, as they are structured into a hierarchy of interconnected DT instances that process and share a huge amount of data subject to different access and usage *** data management in complex distributed scenarios, Data Spaces are an emerging paradigm that aims at building a secure and privacy-preserving infrastructure to pool, access, share, process and use data. As a matter of fact, existing DTs solutions (not only in the urban domain) do not present a clear software architecture characterization and, moreover, they pay little attention to the data management *** bridge this gap, in this paper we present the Digital Twin Space, an architectural proposal that aims to instantiate Data Spaces into DTs according to the guidelines set by relevant international projects. We use the UDT as a running example and we validate the model in the case of a smartPV panel, showing that the model matches the real cyber-physical system. © 2023 ieee.

关键词： Data Spaces Digital Twin architectures international Data Space architecture Urban Digital Twins

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Virtual Reality-Enabled Data Processing Framework for IoT sensor Networks with Augmented and Mixed Reality Integration, along with E-commerce, CRM, and Management Information System 3

Virtual Reality-Enabled Data Processing Framework for IoT Se...

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international conference on Advances in computing, Communication and Applied Informatics (ACCAI)

作者： Venkatasubramanian, S. Kharat, Avinash Manohar Abilasha, N. Raha, Shrinwantu Manerkar, Ganesh Vasudeo Manoharmayum, Dolpriya Devi Saranathan Coll Engn Dept Comp Sci & Business Syst Tiruchirappalli India Venkateshwara Inst Management Peth Maharashtra India Univ Mumbai Mulund Coll Commerce Autonomous Mulund West Mumbai Maharashtra India BhairabGanguly Coll Belgharia Kolkata State Aided Coll Teacher Category 1 Dept Geog Kolkata W Bengal India Goa Univ Goa Coll Engn Informat Technol Govt Goa Taleigao Goa Goa India KoneruLakshmaiah Educ Fdn KLEF KL Coll Agr Guntur Andhra Pradesh India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

This exploratory research aims to offer a slice-edge frame that merges Virtual Reality (VR) technology with Internet of Things (IoT) detector networks, augmented reality (AR), and mixed reality (MR) to achieve greater data processing capabilities. The purpose of this study is to accomplish this goal. The framework incorporates the fundamentals of e-commerce, customer relationship management (CRM), and management information systems (MIS) to produce an output that is comprehensive in nature. The frame seeks to give immersive and engaging gestures while simultaneously handling and analyzing huge amounts of data efficiently. In addition to leveraging virtual reality, augmented reality, and mixed reality, the frame will also utilize mixed reality. Through the implementation of this integration, it is possible to enhance decision-making processes, increase customer involvement, and speed up operational operations across a wide range of industries. Throughout the course of this investigation, the suggested framework's design, implementation, and evaluation are thoroughly examined. The study also highlights the potential for the framework to be used to adjust data recycling methods and to reshape the geographical landscape of digital ecosystems. Both of these possibilities are highlighted in the research

关键词： Virtual Reality IoT sensor Networks Augmented Reality Integration Mixed Reality Integration E-commerce Integration CRM Integration Management Information System Integration

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Remote Monitoring and Control of Agricultural systems Using IoT and Machine Learning 3

Remote Monitoring and Control of Agricultural Systems Using ...

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international conference on Advances in computing, Communication and Applied Informatics (ACCAI)

作者： Raj, G. Bhupal Mohan, Chinnem Rama Karthik, A. Nagpal, Amandeep Laxmi, Ms Vijay Asha, V SRUniv Sch Agr Warangal Telangana India Narayana Engn Coll Dept Comp Sci & Engn Nellore 524004 Andhra Pradesh India Inst Aeronaut Engn Hyderabad India Lovely Profess Univ Phagwara India Maharishi Markandeshwar Univ Ambala India New Horizon Coll Engn Dept Comp Applicat Bangalore Karnataka India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

Cutting-edge technology is essential to improve resource use, output, and farming methods to meet climate change and other needs. This research uses IoT and machine learning to remotely track and operate agricultural *** Internet of Things (IoT) lets several sensors strategically placed around the farm collect data simultaneously. These sensors assess temperature, humidity, and soil wetness, which determine crop health. The data is wirelessly delivered from a central location to a designated area for processing and *** learning is used to interpret data. These algorithms can improve irrigation schedules, predict food yields, diagnose diseases, and offer insect control alternatives. Machine learning (ML) models improve by learning from data and adapting to environmental *** system allows remote farming monitoring using actuators and automated tools. An easy-to-use interface on desktops or mobile devices allows agricultural experts utilise machine learning models to regulate insecticides, modify irrigation water, and start harvesting *** proposed technology improves farming productivity, durability, resource efficiency, and cost. It encourages farmers to make sensible decisions and manage their resources to better address environmental *** conclude, Machine Learning and the Internet of Things could considerably improve farming system remote monitoring and control. The development of new technologies in this field is crucial to its long-term success and ability to provide for future generations.

关键词： Remote Monitoring Control systems Agricultural IoT Precision Agriculture Machine Learning sensor Networks Data Analytics

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