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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1391-1400 订阅

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Probabilistic Information Matrix Fusion in a Multi-Object Environment

Probabilistic Information Matrix Fusion in a Multi-Object En...

引用

ieee international conference on Multisensor Fusion and Integration for Intelligent systems (MFI)

作者： Yang, Kaipei Bar-Shalom, Yaakov Univ Connecticut Dept ECE Storrs CT 06269 USA

ISBN: (数字)9781665460262

ISBN: (纸本)9781665460262

In distributed sensor fusion systems, each of the local sensors has its own tracker processing local measurements for measurement-to-track association and state estimation. Only the processed data, local tracks (LT) comprising state vector estimates and their covariance matrices are transmitted to the fusion center (FC). In this work, a multi-object hybrid probabilistic information matrix fusion (MO-HPIMF) is derived taking into account all association hypotheses. In MO-HPIMF, the association carried out is between the FC track states (prediction) and the LT state estimates from local sensors. When having a large number of objects and sensors in fusion, only the m-best FC-track-to-LT association hypotheses should be incorporated in MO-HPIMF to reduce the computational complexity. A Sequential m-best 2-D method is used for solving the multidimensional assignment problem in this work. It is shown in the simulations that MO-HPIMF can successfully track all targets of interest and is superior to track-to-track fusion (T2TF, a commonly used approach in distributed sensor fusion system) which relies on hard association decisions.

关键词： Target tracking Uncertainty Computational modeling sensor fusion Probabilistic logic Covariance matrices Computational complexity

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Crop Prediction using NPK sensor: Novel Approach Using Machine Learning Algorithms

Crop Prediction using NPK Sensor: Novel Approach Using Machi...

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2024 international conference on Smart systems for Applications in Electrical Sciences, ICSSES 2024

作者： Siddique, Abbubukar Harikishan, K.N. Kaif, Mohammed Gowda, Nachiketha N. Aparanji, V.M. Karthik, S. Siddaganga Institute of Technology Department of ECE Tumakuru India Cyphertek solutions Bangalore India

ISBN: (纸本)9798350364040

Agriculture, a vital element in nourishing the world's growing population, faces significant challenges such as climate change, soil degradation, and water scarcity. Accurate crop prediction is essential for maximizing yield and efficient farming practices. However, traditional manual observation methods have limitations in accuracy, scalability, and timeliness. To address these issues, an automated solution integrating NPK sensors emerges as a viable option. These sensors measure key nutrients like Nitrogen, Phosphorus, and Potassium in the soil, providing real-time data on crop nutrition. By feeding NPK sensor data to machine learning models, accurate predictions can be generated. Implementation involves integrating NPK sensors with Raspberry Pi via RS485 to TTL converter and utilizing algorithms like Random Forest and Naïve Bayes for insights on crop suitability. Leveraging edge computing, it provides on-field accuracy, eliminating the need to transport soil samples to testing centers. This integration has the potential to transform modern agriculture, increasing yields while minimizing waste. © 2024 ieee.

关键词： Crops

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Advancements in Human Activity Recognition: A comprehensive Review of Smartphone and Wearable sensor Integration 7

Advancements in Human Activity Recognition: A comprehensive ...

引用

7th international conference on Inventive Computation Technologies, ICICT 2024

作者： Dhohada, Cheruku Sumalatha, Konatham Vellore Institute of Technology Computer Science And Engineering Vellore India Vellore Institute of Technology Department of Database Systems Vellore India

ISBN: (纸本)9798350359299

In recent years, deep learning and machine learning methods have been extensively employed in almost every field due to their capability of data processing and analysis. These are the subdomains of Artificial intelligence that gather information in different formats and from different sources. Human Activity Recognition using smartphones and wearable sensors has evolved into a dynamic field with numerous applications and challenges. Ongoing research efforts continue to refine methodologies, address challenges, and expand the scope of Human activity recognition, making it an exciting area with significant potential. Nowadays everyone is using smartphones, so it is easy to find their applications in health monitoring, fitness tracking, context-aware computing, and security. The ability to automatically detect activities such as walking, running, and sleeping opens avenues for personalized services and interventions that help in people's daily lives. While traditional machine learning and deep learning models offer valuable insights individually, ensemble learning presents an opportunity to further enhance accuracy and robustness. This research work aims to give a concise overview of the various deep learning and machine learning approaches, their convergence, and an analysis of the applications of these algorithms in the field of smartphone sensor-based human activity recognition. © 2024 ieee.

关键词： Learning systems

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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...

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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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Minimum Utilization of Energy Resource via MAC Routing Protocol for Mobile sensor Network 4

Minimum Utilization of Energy Resource via MAC Routing Proto...

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4th ieee Annual Flagship India Council international Subsections conference, INDISCON 2023

作者： Singh, Alka Desai, Meena College of Education Iimt University Uttar Pradesh Meerut India Isme - School of Management & Entrepreneurship Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350333558

The MAC routing protocol for mobile sensor networks is a method of communication that enables the data transfer between sensors over an established network. This protocol is designed to provide reliable, fast and efficient data delivery between nodes within a mobile sensor network. It differs from the traditional routing protocol in that it takes into consideration the mobility of the nodes and changes the routes dynamically to meet the dynamic requirements of the network. The main features of MAC for mobile sensor networks include route discovery and maintenance, dynamic path selection and dynamic quality of service. It also ensures reliability by providing multiple paths for data transmission and path diversity for redundant data transfer. Additionally, it provides fault tolerance and security via neighbor discovery and authentication. The protocol is also suited to heterogeneous networks due to the support for different types of communication technologies such as 802.11, ZigBee, etc. Furthermore, the MAC routing protocol provides multiple solutions such as deferred ordering, probabilistic forwarding and distributed routing. The MAC routing protocol, therefore, provides an effective way to connect sensors in mobile sensor networks. © 2023 ieee.

关键词： Routing protocols

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Edge Intelligence-Based E-Health Wireless sensor Network systems 23

Edge Intelligence-Based E-Health Wireless Sensor Network Sys...

引用

23rd ieee/ACIS international conference on Computer and Information Science, ICIS 2023

作者： Hu, Bintao Isaac, Matilda Abdul Majeed, Anwar P.P. Liu, Hengyan School of Internet of Things Xi'an Jiaotong-Liverpool University Suzhou China School of Robotics Xi'an Jiaotong-Liverpool University Suzhou China School of Ai and Advanced Computing Xi'an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9798350345841

In order to support delay-sensitive applications of healthcare internet of things (HIoT) network systems, it is necessary to allow e-health wearable devices to process their computational applications at an artificial intelligence (AI) based mobile edge computing (MEC) server. Existing works mainly focused on optimising the offloading decisions of all users while minimising their corresponding energy consumption and/or transmission/processing delays. However, the huge data volumes offloading and/or privacy-preserving data processing have been largely ignored. In this paper, we consider an edge intelligence-based e-health wireless sensor network system, where the queues at the MEC server follow M/M/1 queueing model. To minimise energy consumption among all e-health wearable devices, we propose to jointly optimise the FL model task offloading decisions of all e-health wearable devices while guaranteeing delay constraints (which include the transmission delay, queueing delay and processing delay) and global/local FL training accuracy. This is achieved by devising an FL-based edge intelligence queueing offloading decision optimisation algorithm. Simulation results demonstrate that our proposed algorithm achieves a much lower maximum service delay than the benchmarks. © 2023 ieee.

关键词： Energy utilization

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Web 3.0 Decentralized Application Using Blockchain Technology 4

Web 3.0 Decentralized Application Using Blockchain Technolog...

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4th international conference on computing and Communication systems, I3CS 2023

作者： Sahu, Anshuman Mishra, Debani Prasad Mohanty, Sushree Badhulika Sahu, Prachi Prajita Electrical & Electronics Engineering International Institute of Information Technology Bhubaneswar India

ISBN: (纸本)9798350323771

The use of blockchain technology is growing every day, as are its applications. It is a cutting-edge technology that enables users to interact without the use of a reliable intermediary. This research paper explores the development of a decentralized application (Dapp) and the design considerations involved in building a secure, scalable, and userfriendly application on a blockchain or distributed ledger technology. The paper discusses the importance of decentralization, security, user experience, scalability, interoperability, and governance in the development of a Dapp. The research also explores the implementation of smart contracts, the use of standardized protocols and APIs, and the role of decentralized autonomous organizations (DAOs) in creating a Dapp that allows for decentralized decision-making and community governance. The findings of this research provide insights and recommendations for developers and stakeholders interested in building Dapps, particularly in the context of blockchain technology. © 2023 ieee.

关键词： Smart contract

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A PIEZOELECTRIC BULK WAVE RESONANT HUMIDITY sensor FOR NONCONTACT HUMAN-MACHINE INTERACTION 35

A PIEZOELECTRIC BULK WAVE RESONANT HUMIDITY SENSOR FOR NONCO...

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35th ieee international conference on Micro Electro Mechanical systems conference (ieee MEMS)

作者： Le, Xianhao Shi, Qiongfeng Sun, Zhongda Xie, Jin Lee, Chengkuo Natl Univ Singapore Dept Elect & Comp Engn Singapore Singapore Natl Univ Singapore Ctr Intelligent Sensors Singapore Singapore Natl Univ Singapore MEMS Singapore Singapore Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou Peoples R China

ISBN: (纸本)9781665409117

This paper presents a humidity sensor consisting of a two-port piezoelectric bulk wave resonator and a uniform layer of graphene oxide (GO) film, aiming for the applications of human-machine interaction. With the help of the hydrophilic GO film, the sensor possesses high sensitivity (195 Hz/%RH with an operating frequency of 10.5 MHz) and low hysteresis (less than 3%RH) to environmental humidity changes. Meanwhile, the humidity response of the sensor is rapid, highly repeatable and stable, which endows the sensor a fast and accurate response to the approach of a human finger. Moreover, by leveraging the different reactions of the sensor to the finger approaching and staying for various lengths of time, the noncontact information input can be realized in the form of Morse code.

关键词： Humidity sensor bulk wave resonator graphene oxide human-machine interaction noncontact Morse code

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distributed Wireless sensor Network in IoT Hydroponic Monitoring System 3rd

Distributed Wireless Sensor Network in IoT Hydroponic Monito...

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3rd international conference on Smart computing and Cyber Security—Strategic Foresight, Security Challenges and Innovation, SMARTCYBER 2023

作者： Nasution, Arbi Haza Pratama, Rian Monika, W. Informatics Engineering Universitas Islam Riau Pekanbaru Indonesia Library Science Universitas Lancang Kuning Pekanbaru Indonesia

ISBN: (纸本)9789819705726

Parameters like air temperature, air humidity, and air pressure are necessary for the plantation sector, especially hydroponics because air temperature and air humidity can affect the growth of hydroponic plants. Data regarding air temperature and air humidity must be monitored in order to maintain the quality of the hydroponic plants. However, it will be difficult to digitally cover a massive hydroponic plantation. Therefore, a tool is needed that is able to retrieve air temperature and humidity data from several distributed adjacent places or places that are not covered by Wi-Fi so that the data retrieval can be carried out practically and efficiently. The use of radio frequency networks is an alternative and solution for sending data over short or long distances. The nRF24L01 radio frequency module is a module with a relatively cheap price and low current consumption. The experiment shows that our proposed distributed wireless sensor network model is applicable to transferring data efficiently from the distributed microcontroller clients (sensor nodes) to the microcontroller gateway (the central node). The maximum distance of the nRF24L01 PA LNA radio module is 321.8 m and the maximum distance of the nRF24L01 radio module is 7.35 m to maintain a stable data transfer. The designed architecture is successfully implemented and executed to transmit air temperature and humidity data and other required data between the sensor nodes and the central node. The maximum number of characters that can be sent and received by the nRF24L01 radio module is 28 characters. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Hydroponics

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MEMS sensor Based V2V Communication Using Li-Fi Technology 9

MEMS Sensor Based V2V Communication Using Li-Fi Technology

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9th international conference on Advanced computing and Communication systems, ICACCS 2023

作者： Thandapani, Kavitha Nagarajan, P. Pappa, C. Kanmani Ashokkumar, N. VelTech Rangarajan Dr.Sagunthala Rand D Institute of Science and Technology Department of ECE Tamilnadu India SRMIST Department of ECE Vadapalni Campus Tamililnadu Chennai India Mohan Babu University Department of ECE AndraPradesh Tirupati India

ISBN: (纸本)9798350397376

Due to its extensive use in intelligent transportation systems, the topic of traffic accident detection is quickly becoming one of the most fascinating ones. The absence of inexperienced drivers, driving while intoxicated, driving too fast, and driving while sleepy are the main contributors to these traffic accidents. Numerous measures have been used to stop these traffic accidents. However, the majority of them failed to stop this. We demonstrate an upgraded Li-Fi accident detection method in this study. The proposed model offers an intelligent system for the identification and avoid of accidents for the protection of human life. sensors like mems sensors and ultrasonic sensors are used in that preventative component. When a sensor determines there is not enough space between two vehicles, it notifies the vehicle in front of it. © 2023 ieee.

关键词： Ultrasonic applications

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