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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

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A Low-Cost IoT System for Monitoring Air Quality in Indoor Working Places 6

A Low-Cost IoT System for Monitoring Air Quality in Indoor W...

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6th international conference on Information Technology, Information systems and Electrical Engineering, ICITISEE 2022

作者： Uddin, Nur Tarigan, Surya Gunanta Mannan, Khalid Abdul Universitas Pembangunan Jaya Department of Informatics Tangerang Selatan Indonesia Universitas Pembangunan Jaya Department of Architecture Tangerang Selatan Indonesia Center for Urban Studies Universitas Pembangunan Jaya Tangerang Selatan Indonesia

ISBN: (纸本)9798350399615

this paper presents a development of internet of things (IoT)-based indoor air quality monitoring system. the system is purposed to monitor quality of air in offices. It is to assure the health and safety of the working place which is especially being a big concern during the COVID-19 pandemic. Implementing the IoT concept allows to do monitoring from anywhere at anytime. A prototype of the monitoring system is built using three major components, such as an air quality sensor (BME680), a microcontroller (NodeMCU ESP-12), and an IoT cloud platform (thingSpeak). the experimental test result shows that system was able to monitor the air temperature, air humidity, air pressure, IAQ (indoor air quality) index, carbon dioxide quantity, and VOC (volatile organic compound). these data is presented real-time in a web application and accessible from anywhere by using computers or smartphones. © 2022 ieee.

关键词： air quality BME680 sensor Internet of things (IoT) monitoring system NodeMCU ESP-12

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Internet of things and Wireless sensor Network Solution in Smart Environmental Monitoring 6

Internet of Things and Wireless Sensor Network Solution in S...

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6th ieee international conference on Communication and Electronics systems, ICCES 2021

作者： Khan, Md. Nasfikur Rahman Haque, Halima Labeeb, Kashshaf Aktar, Mahbuba Datta, Rony Kumar Abedin, Mohammad Zoynul Independent University Bangladesh AABTech Lab Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Hajee Mohammad Danesh Science and Technology University Department of Finance and Banking Bangladesh

ISBN: (纸本)9781665435871

the prevailing quality, sustainability, smartening, and usability in the world are the key challenges of today's advanced technological revolution. through innovation and development, the Internet of things has connected artefacts and provided the world with exemplary authenticity. Because of the convergence of multi-technologies, machine learning, embedded systems, real-time analytics, and commodity sensors, Internet of things technology is synonymous with the concept of an 'Intelligent Environment'. Wireless computer networks are some disseminated or resolution sensors that observe corporeal or environmental states;to acclaim temperature, sound, moisture, pressure, and so on;and to hand in glove transmit their information through the network to the most remote site. this article discusses about the philosophy used for smartening environmental observance with the implementation of various wireless sensor networks. © 2021 ieee.

关键词： Internet of things

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Design of Indoor Environment Monitoring System Based on Wireless sensor Network

Design of Indoor Environment Monitoring System Based on Wire...

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Frontiers Technology of Information and Computer (ICFTIC), ieee international conference on

作者： Yujie Peng School of Intemational Studies Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798331541750

ISBN: (纸本)9798331541767

this paper designs a low-cost indoor air quality monitoring system based on wireless sensor network architecture. the system is mainly composed of four core modules: data acquisition terminal, data transmission system, data processing and storage system, and monitoring management system. the system utilises MQ-4, MQ-7 and MQ-135 sensors to monitor the main pollutants in indoor air, such as carbon monoxide, methane, and ammonia, in real time, records the data locally, identifies outliers through 3ainaccuracy, and aims to provide users with an accurate air quality monitoring and management solution.

关键词： Methane Wireless sensor networks Gases Market research Real-time systems sensor systems Telecommunications sensors Monitoring Indoor air quality

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DICFaaS: Parallel and Scalable Data Integrity Computation for Serverless systems

DICFaaS: Parallel and Scalable Data Integrity Computation fo...

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international conference on Parallel and distributed systems (ICPADS)

作者： Tianchen Xiong Bo Peng School of Software Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai China

ISBN: (数字)9798331515966

ISBN: (纸本)9798331515973

Serverless computing is extensively employed in distributed storage computing scenarios owing to its dynamic responsiveness and on-demand allocation capabilities. Within distributed storage computing, data integrity computation holds significant importance. Nevertheless, current serverless systems fail to consider the CPU-intensive nature of data integrity computation, leading to prolonged CPU occupancy, increased latency, and substantial performance deterioration, particularly in parallel scenarios. therefore, there is an imperative need for a solution that can efficiently handle this kind of computation in serverless systems. In this paper, we introduce DICFaaS, a high-performance serverless system specialized for parallel and scalable data integrity computation. DICFaaS can recognize the offloading potential of servers and automatically offload CPU-intensive data integrity computation. the offloading function of DICFaaS can be easily integrated into other existing serverless systems. We evaluate the effectiveness of DICFaaS for data integrity computation compared to state-of-the-art serverless systems. For example, DICFaaS delivers up to $17 \times$ latency improvement over AWS Lambda and up to $42 \times$ latency improvement over OpenFaaS when the data size is 200M. It also saves up to $\mathbf{6 0 \%}$ CPU overhead at runtime compared to OpenFaaS.

关键词： Runtime Data integrity Heuristic algorithms Scalability Serverless computing distributed databases Quality of service Parallel processing Dynamic scheduling Hardware

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Wireless Battery Management System in Electric Vehicles: Analysis of State-of-the-Art Techniques

Wireless Battery Management System in Electric Vehicles: Ana...

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distributed computing and Electrical Circuits and Electronics (ICDCECE), ieee international conference on

作者： Jagadeesh Basavaiah Audre Arlene Anthony Ragan P Prajwal A N Pranav H Patel M Yashas Department of Electronics and Communication Engineering Vidyavardhaka College of Engineering Mysuru India

ISBN: (数字)9798331533663

ISBN: (纸本)9798331533670

Wireless Battery Management systems (WBMS) are significant steps in monitoring and controlling energy storage, which varies from electric vehicle applications to renewable energy applications and smart grid systems. they operate on wireless communication technologies such as Zigbee, Bluetooth, and Wi-Fi, eliminating the need for complex wiring increasing the potential weight reduction of the system, and minimizing potential reliability issues. this paper elaborates on designing and implementing a microcontroller-based WBMS that monitors key parameters such as voltage, current, and temperature in real time. All these parameters are transmitted wirelessly to centralized management units or mobile devices for analysis. State estimation algorithms further enhance the reliability of key metrics such as SOC, SOH, and fault diagnosis. WBMS catches real-time information from all cells in the battery using sensors and wirelessly transmits it to a central monitoring unit. this paper aims to analyze recent advancements in EV BMS technology and identify potential directions for future research in this area. this paper explores the challenges and opportunities associated with implementing BMS in electric vehicles and presents an in-depth review of the existing literature.

关键词： Wireless communication Temperature sensors Wireless sensor networks Electric potential Battery management systems Electric vehicles Real-time systems Batteries State of charge Monitoring

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Heterogeneous Wireless Device Management in Edge computing systems for IoT Services 14

Heterogeneous Wireless Device Management in Edge Computing S...

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14th international conference on Information and Communication Technology Convergence, ICTC 2023

作者： Vitumbiko, Mafeni Kim, Younghan School of Electronic Engineering Seoul Korea Republic of

ISBN: (纸本)9798350313277

In a heterogeneous Internet of things (IoT) setup, it is impractical and requires human intervention to deploy workloads for every device after enrolment, especially considering the diverse range of wireless technologies involved. Furthermore, it is extremely complex to design and develop a large-scale system that can accommodate and integrate heterogeneous wireless technologies to achieve interoperability between the devices. As the number of devices increases, it is necessary to dynamically adjust workloads to accommodate the growing demand and maintain quality of service. In this paper we employ a state-of-art solution called Project-Flotta, which is utilized for managing edge devices and edge workloads. However, Project-Flotta does not provide a way of automating and managing heterogeneous wireless technologies for an IoT service. therefore, we propose a system based on Project-Flotta leveraging its kubernetes custom resources by extending its functionality to adapt diverse wireless technologies. © 2023 ieee.

关键词： automation edge compuning heterogenous horizontal pod auto scaling kubernetes Project-Flotta wireless sensor

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Fine-grained Calculation Method of Accepting distributed Generation Capacity in Distribution Network for Virtual Power Plant

Fine-grained Calculation Method of Accepting Distributed Gen...

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China international Electrical and Energy conference (CIEEC)

作者： Yongjie Zhong Ling Ji Yanjun Jiang Jingxia Li Zidong Wang Yong Wang Guodian Nanjing Automation Co. Ltd Nanjing China

the fine-grained calculation method of accepting distributed generation capacity in distribution network for virtual power plant is proposed in this paper. Firstly, a distributed generation capacity model including photovoltaic power generation and wind power generation are established based on the collection of virtual power plant information. Secondly, distribution network power flow model on power grid side, and distributed power generation output model on power supply side including photovoltaic generation model and wind power generation model are established. thirdly, the fine-grained safe operation constraints including power supply side and power grid side are set. then, the optimal coordinated scheduling model of acceptability of new energy distributed generation with adjustable importance factor setting mode is proposed. Finally, output virtual power plant information through optimal coordinated scheduling, and reverse determine the actual photovoltaic and wind power installed capacity selection. the proposed model and method can provide theoretical guidance and reference for the fine modeling of distributed generation capacity accepted by the distribution network of virtual power plant, fine-grained computing application, actual installed capacity selection of distributed generation, multi-mode coordinated scheduling and so on.

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Water Quality Monitoring System Using Wireless sensor Networks

Water Quality Monitoring System Using Wireless Sensor Networ...

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international conference on Contemporary computing and Informatics (IC3I)

作者： Gulista Khan Wajid Ali Mohd. Haasin Qureshi Kamal Kumar Gola Aashi Chauhan Teerthanker Mahaveer University Moradabad India COER University Roorkee India

Wireless sensor networks (WSNs) are playing an important role in transforming the field with sensor technology. WSNs have become an important generation for many operations, such as military operations, surveillance vehicles, and intelligent transportation systems (ITS). WSN also plays an important role in monitoring environmental conditions like air quality monitoring, water monitoring, and pressure and temperature monitoring. Water quality monitoring uses high-power radio frequency communication channels for providing highly reliable real-time systems. this helps in preserving our natural resources. A WSN consists of various sensor nodes that collect records from the environment. the parameters included in determining the quality of the water are pH level, temperature, and turbidity. sensor nodes sense the data and send it to the base station in real-time or any monitoring system. In this paper, we proposed a water quality monitoring system based on Bluetooth technology for real-time monitoring of data. this wireless system of water quality monitoring will give real-time monitoring of data. It also reduces the labor cost and provides flexibility in terms of long-distance and location. the proposed system could be customized also. the result of measurement shows the evaluation in terms of reliability and effectiveness.

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Robust Vehicle Speed Estimation Based on Vision sensor Using YOLOv5 and DeepSORT 6th

Robust Vehicle Speed Estimation Based on Vision Sensor Using...

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6th international conference on Intelligent computing and Optimization, ICO 2023

作者： Kamil, Dea Angelia Wahyono Harjoko, Agus Department of Computer Science and Electronics Universitas Gadjah Mada Yogyakarta55281 Indonesia

ISBN: (纸本)9783031362453

For driving safety purposes, the policymakers make regulations on the speed limit on the highway because vehicles high speed may cause an accident. Vision-based vehicle speed estimation requires limited human resources and minimizes human error. therefore, the authors of this research propose a vehicle speed estimation pipeline using You Only Look Once version 5 (YOLOv5) for vehicle detection, tracking vehicles using Simple Online and Realtime Tracking with a Deep Association Metric (DeepSORT), and speed measurement process. the dataset built for this work is taken in Gadjah Mada University using a camera in bird view orientation. the detection precision and recall of the of YOLOv5l pre-trained model used are both about 100% and has fps 10.762. the speed value reaches a Root Mean Square Error (RMSE) of 3.926 and a Mean Absolute Error (MAE) of 3.155. the RMSE obtained is compared with previous research and has the most significant value. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Computer vision

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A Union MEC-UAV Computation Offloading System Applied to Wireless sensor Network for Marine Renewable Energy Smart Grids

A Union MEC-UAV Computation Offloading System Applied to Wir...

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ieee international conference on Electronic Information and Communication Technology (ICEICT)

作者： Ren Xu Fei Lin Wenyi Shao Haoran Wang Fanping Meng School of Information and Automation Qilu University of Technology (Shandong Academy of Sciences) Jinan China

Currently, the research integrating smart grid with mobile edge computing (MEC) is focused on the terrestrial renewable energy scenario, and very little research has been done on marine, where the communication environment is far more complex than on land. Firstly, we use the Unmanned Aerial Vehicle (UAV) to build a union MEC-UAV computation offloading system to assist marine smart grids (MSG) in sensor data processing, where UAV only acted as the relay for collecting sensor data in previous studies. Next, we propose an optimization algorithm for offloading UAV-assisted maritime MEC tasks based on an Enhanced Deep Deterministic Policy Gradient (E-DDPG) algorithm. It adapts the MEC-UAV system to the complex marine environment by optimizing the task offload rate and UAV position to ensure the service quality of the smart grid, reducing the processing latency significantly. Experimental results prove that the E-DDPG is more outstanding than the DDPG.

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