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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1411-1420 订阅

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Smart Fish Feeding in IoT-based Aquarium: A Comprehensive Approach Integrating Computer Vision, Machine Learning and sensor Technology 4

Smart Fish Feeding in IoT-based Aquarium: A Comprehensive Ap...

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4th international conference on Next Generation computing Applications, NextComp 2024

作者： Cassy, Ryan Bekaroo, Girish Middlesex University Mauritius Flic-en-Flac Mauritius

ISBN: (纸本)9798331517403

With the increasingly busy lifestyles of people, advanced maintenance systems such as automated feeding has become of utmost importance to aquarium owners. Despite existing technologies, there remains a gap in smart feeding solutions tailored to the specific dietary requirements of different fish species and population sizes. This paper investigates smart fish feeding through automated detection, counting, classification and feeding of fishes within aquariums. As part of this paper, a smart population-driven aquarium maintenance system, named AquaTrack, is proposed that integrates Internet of Things (IoT), computer vision, machine learning, and sensor technologies. The system detects, classifies, and counts fish, adjusting feeding amounts based on species and population to mitigate the risks of overfeeding and underfeeding, which can significantly affect water quality. The system was evaluated through four research questions, where a general accuracy of 76.9% in fish species identification and 77.1% in fish counting were found. While promising outcomes were observed under specific conditions, variability and limitations in performance across different scenarios were also noted. Environmental factors such as lighting, reflections, shadows, and particulate matter affected the accuracies, particularly in scenarios involving smaller fish quantities. Based on these findings, the study recommends further refinement of the system to enhance its capabilities. © 2024 ieee.

关键词： Fish

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Intelligent Traffic Light System based on IoT 2

Intelligent Traffic Light System based on IoT

引用

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

作者： Gupta, Rohan Singh, Ankit Kumar Tewari, Pratistha Pankaj Dabral, Suhani Dept. of ECE UIE Chandigarh University Mohali India Dept. of CSE UIE Chandigarh University Mohali India

ISBN: (纸本)9798350340235

With rise in urbanization there has been an increase in traffic density, resulting in various traffic related issues like traffic congestion and increased air pollution. Hence traffic issues are one of the biggest issues faced by the people indaily life and needs to be handled by the government andadministration in an effective, practical and smart way. In smarttimes when internet has solution for most of the human problems, thenwhy not use IoT to solve road traffic problems. The Intelligent Traffic Light system based on IoT and traffic density is a modern approach towards existing traffic system which works on real time data analysis using ultrasonic sensor and gas *** technology is intended to handle traffic congestion by automatically modifying traffic signal timings at each interaction based on traffic density. Its goal is to increase road safety, minimize traffic jams, and improve overall traffic flow. A smart method for the emerging smart world. The unique partof the proposed system is the addition of gas sensor which will measure the level of air pollutants and accordingly with ultrasonic sensor which measures density of traffic to reduce traffic congestion and improve air quality. © 2023 ieee.

关键词： gas sensor Internet of Things real time data analysis traffic density ultrasonic sensor

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Adaptive Network Formation and Trajectory Optimization for Multi-UAV-Assisted Wireless Data Offloading 23

Adaptive Network Formation and Trajectory Optimization for M...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wang, Meng Long, Yusi Gong, Shimin Xu, Jing School of Intelligent Systems Engineering Sun Yat-sen University China School of Electronic Information and Communications Huazhong University of Science and Technology China

ISBN: (纸本)9781665494571

In this paper, we employ multiple UAVs coordinated by a cellular base station (BS) to help the IoT users to offload their sensing data to the BS. To minimize the overall energy consumption and transmission delay, we allow different UAVs to optimize their trajectories and cooperate in data transmission via multi-hop relaying. This implies complicated spatial and temporal coupling between the UAVs' trajectories optimization and network formation. To solve this problem, we propose a two-step algorithm to iterate between adaptive network formation and trajectory optimization. Firstly, in order to balance the UAVs' energy consumption and the queue size, we adopt a heuristic algorithm to update adaptive network formation. Then, once we update the network formation, the UAVs' trajectories are further optimized by using the multi-agent deep reinforcement learning algorithm. Our simulation results show that the joint trajectory optimization and network formation can better exploit the cooperation among multiple UAVs in data offloading, compared with the conventional non-cooperative cases. © 2021 ieee.

关键词： Wireless communication Wireless sensor networks Energy consumption Adaptive systems Smart cities Heuristic algorithms Simulation

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Towards Smart sensor systems for Precision Farming: Electrode Potential Energy Harvesting from Plants' Soil 29

Towards Smart Sensor Systems for Precision Farming: Electrod...

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29th ieee international conference on Electronics, Circuits and systems (ieee ICECS)

作者： Leoni, Alfiero Ferri, Giuseppe Ursini, Daniele Zompanti, Alessandro Sabatini, Anna Stornelli, Vincenzo Univ Aquila Dept Ind & Informat Engn Laquila Italy Univ Campus Biomed Roma Unit Elect Sensor Syst Dept Engn Rome Italy Univ Campus Biomed Roma Unit Computat Syst & Bioinformat Dept Engn Rome Italy

ISBN: (数字)9781665488235

ISBN: (纸本)9781665488235

The purpose of this paper is to present a study on the characterization of living plants as an energy source for low-power devices and autonomous sensors. The proliferation of the Internet of Things (IoT) and distributed monitoring has increased the demand for autonomous, low-power, long-lasting smart devices. As a result, research on zero-cost, bio-impact-reduced alternative energy sources in the surrounding environment is expanding. This research illustrates the viability of a plant-based energy harvesting device capable of continuously extracting up to 53.5 mu W. Future research on practical electronic systems can now include the energy extraction process from living plants to power embedded systems for plant monitoring and other similar applications useful for precision farming.

关键词： Energy harvesting plant soil Low-power Electrode Potential MPPT

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Factors Influencing the Usage of Artificial Intelligence among Bangladeshi Professionals: Mediating role of Attitude Towards the Technology

Factors Influencing the Usage of Artificial Intelligence amo...

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2024 ieee international conference on computing, Applications and systems, COMPAS 2024

作者： Emon, Md Mehedi Hasan Khan, Tahsina Rahman, Md Adnan Siam, Saleh Ahmed Jalal American International University- Bangladesh Faculty of Business Administration Dhaka Bangladesh Centre for Higher Studies and Research Dhaka Bangladesh Department of Business Administration Dhaka Bangladesh

ISBN: (纸本)9798331529765

This study investigates the factors influencing the usage of artificial intelligence (AI) among Bangladeshi professionals, with a focus on the mediating role of attitude towards technology. The purpose is to enhance understanding of AI adoption using elements from the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM). A quantitative research design was employed, utilizing a questionnaire distributed to 490 professionals, resulting in 190 usable responses. Data were analyzed using SmartPLS to assess the relationships among performance expectancy, effort expectancy, social influence, facilitating conditions, perceived usefulness, perceived ease of use, attitude towards technology, and behavioral intention to use AI. The findings indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived usefulness significantly influence AI adoption. Social influence and perceived ease of use exhibit mediated effects through attitude towards technology. The research is limited by its use of convenience sampling and a single-country focus, which may affect the generalizability of the findings. The study's practical implications include guiding policymakers and industry leaders in designing targeted strategies to promote AI adoption among professionals. Social implications highlight the importance of addressing social factors and perceived ease of use to foster positive attitudes towards AI. This research contributes originality by integrating UTAUT and TAM models in a developing country context, providing nuanced insights into AI adoption among professionals. Future research should explore AI adoption across different developing countries and consider longitudinal and qualitative studies for a deeper understanding of technology adoption dynamics. © 2024 ieee.

关键词： Economic and social effects

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Efficient Runtime Profiling for Black-box Machine Learning Services on sensor Streams 6

Efficient Runtime Profiling for Black-box Machine Learning S...

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6th ieee international conference on Fog and Edge computing (ICFEC)

作者： Becker, Soeren Scheinert, Dominik Schmidt, Florian Kao, Odej Tech Univ Berlin Berlin Germany

ISBN: (纸本)9781665495240

In highly distributed environments such as cloud, edge and fog computing, the application of machine learning for automating and optimizing processes is on the rise. Machine learning jobs are frequently applied in streaming conditions, where models are used to analyze data streams originating from e.g. sensory data. Often the results for particular data samples need to be provided in time before the arrival of next data. Thus, enough resources must be provided to ensure the just-in-time processing for the specific data stream. This paper focuses on proposing a runtime modeling strategy for containerized machine learning jobs, which enables the optimization and adaptive adjustment of resources per job and component. Our black-box approach assembles multiple techniques into an efficient runtime profiling method, while making no assumptions about underlying hardware, data streams, or applied machine learning jobs. The results show that our method is able to capture the general runtime behaviour of different machine learning jobs already after a short profiling phase.

关键词： Profiling Runtime Prediction Resource Estimation Performance Modeling Heterogeneous Environments

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A Survey of Heterogeneous Routing Protocols for Wireless sensor Networks 7

A Survey of Heterogeneous Routing Protocols for Wireless Sen...

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7th international conference on Computer Applications in Electrical Engineering-Recent Advances, CERA 2023

作者： Kumar, Sumit Prakash, Jay Madan Mohan Malaviya University of Technology Department of Itca Gorakhpur India

ISBN: (纸本)9798350305005

Over the last decade, wireless sensor networks (WSNs) have caused a lot of interest in cellular or mobile computing research groups. Applications for WSN are numerous and growing, spanning from indoor deployment in the home or workplace to outdoor deployment in an adversary's area in an army battleground. Thanks to recent advances in wireless networking and Mobile Ad-hoc Networks (MANETs), mobile computing technologies are expanding at an unprecedented rate. Wires were used to connect equipment in homes and businesses via telephone and cable companies. Nowadays, cellphone technology is popular. Effective MANETs face numerous problems and challenges. Many problems and obstacles confront effective MANETs. To travel from one host to another, a packet must transit through many interconnected networks. Existing protocols cannot route in MANETs due to network difficulties. VANET (Vehicular Ad-hoc scanner) is an emerging innovation that has received a lot of notice in recent years. Energy Efficient Routing in Mobile sensor Networks describes the structure of mobile sensor networks as well as analyses and studies different academic papers in this field. © 2023 ieee.

关键词： Wireless sensor networks

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Block Chain and distributed computing Aided with Cloud Technology- A Specific Reference to Security Issues of Healthcare Industry 2

Block Chain and Distributed Computing Aided with Cloud Techn...

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2nd ieee international conference on Advances in computing, Communication and Applied Informatics, ACCAI 2023

作者： Murugamani, Chakravarthi Nadh Singh, Bhaludra R. Pravalika, Kallu Rethvikha Sri, P. Sowmya, Chennuru Sai Reddy, Mankhala Shreya Department of Information Technology Bhoj Reddy Engineering College for Women Telangana Hyderabad59 India Department of Computer Science and Engineering Bhoj Reddy Engineering College for Women Telangana Hyderabad59 India Bhoj Reddy Engineering College for Women Telangana Hyderabad59 India

ISBN: (纸本)9798350315905

There has been a significant uptick in the need for user-centric electronic records to save the many characteristics of a patient's medical history as they are recorded at a hospital during treatment and to make those records available as and when they are needed for future treatment, care, or invoicing. Blockchain technology allows us to save these data on a distributed ledger, allowing us to begin and enable use at breakneck speeds while still maintaining a transparent and secure system. To save records safely and in an interoperable fashion, a distributed system with ledger functionality is used. Block chain technology has the potential to revolutionize the way digital assets are transacted by removing the need for a trusted third party to authenticate data authenticity, record asset ownership, or mediate financial or data transactions. Immutability, decentralisation, and transparency are three of its defining characteristics, making it well suited to resolving pressing problems in the healthcare industry, such as the lack of comprehensive peer-to-peer files and the inability to easily access patients' medical histories. Health care systems that are efficient and successful depend on interoperability, the capacity of different health organisations and manufacturers of different software products to connect and share data in a safe and smooth manner. Many problems in modern healthcare can be traced back to a lack of interoperability, such as siloed data, sluggish communications, and different workflow tools. To address this, it is recommended to implement a system that provides secure, pseudo-anonymous access to complete, recognised longitudinal medical records stored in silos. In this article, we conducted a system overview and literature review of block chain technology in a fog computing environment, both of which are capable of processing vast amounts of data in a decentralised fashion. Our in-progress experimental study reveals weaknesses in existing systems

关键词： Interoperability

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An Energy Efficient Hybrid Communication Protocol for Large Area Wireless sensor Networks 4

An Energy Efficient Hybrid Communication Protocol for Large ...

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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Karthigeyan, Shreyas Bhol, Sampark Jain, Akshat Yadav, Karthik Sinha, Akash Padma Priya, R. School of Computer Science and Information Systems Vellore Institute of Technology Vellore Campus Tamil Nadu Vellore632014 India School of Computer Science and Engineering Vellore Institute of Technology Vellore Campus Tamil Nadu Vellore632014 India Department of Computer Science and Engineering Maulana Azad National Institute of Technology Madhya Pradesh Bhopal462003 India

Energy conservation is an indispensable aspect of the protocols designed for Wireless sensor Networks (WSNs). The communication protocols for WSN fall mainly under two categories: centralized and distributed. Centralized protocols are not feasible for real-world WSNs as the network can span across large areas where most of the nodes cannot directly communicate with the base station (BS). The routing issues in such networks can be addressed using multi-hop protocols. However, the process of BS guided clustering in such methods cannot be performed. distributed clustering methods that minimize the intervention of BS in clustering can provide feasible solutions in such cases, but the energy expenditure is considerably high. This paper, hence, proposes a hybrid clustering based routing protocol for large WSN that employs certain aspects of centralized as well as that of distributed protocols. Experimental evaluation of the proposed protocol in terms of network lifetime gives promising results that clearly indicate the energy efficiency and consistency of the proposed work in different scenarios. The proposed work can prove beneficial in real-life scenarios where the deployed nodes are far away from the BS. © 2025 The Authors. Published by Elsevier B.V.

关键词： Hybrid power

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A distributed Asset Trading Mechanism Based on Automated Negotiation

A Distributed Asset Trading Mechanism Based on Automated Neg...

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2023 ieee international conference on Metaverse computing, Networking and Applications, MetaCom 2023

作者： Zeng, Jiahao Zang, Xiuhuan Liu, Chang Chen, Zhiyi Guo, Shaoyong Qi, Feng Pan, Jianhong Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China State Grid Economic and Technological Research Institute Co. Ltd Engineering Data Center Beijing China State Grid Jilin Electric Power Co. Ltd Digital Department Changchun China

ISBN: (纸本)9798350333336

Asset digitization is an important part of digital society. However, there are many problems in existing centralized asset trading platforms, for example, the platform has the dominant power in the transaction process and holds a large amount of user data, which is detrimental to users' interests. To solve these problems, we propose a distributed asset trading mechanism based on automated negotiation. Firstly, we propose a distributed asset trading framework based on the consortium blockchain, which provides trust guarantees for trading through the access control of the consortium blockchain, represents the ownership of assets through non-fungible tokens (NFT), and reduces the blockchain burden by moving the negotiation process off the blockchain through the state channel technology. Then, to reduce the negotiation cost and improve the negotiation results, we propose a bilateral automated multi-issue negotiation model for asset trading. The experimental results show that the negotiation model performs well in terms of success rate and negotiation time, and can achieve win-win agreements. © 2023 ieee.

关键词： Multi agent systems

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