Design and implementation of internet of things-based electrical monitoring system

Hassan, Jumana A.; Jasim, Basil H.

doi:10.11591/eei.v10i6.3155

Cited by 17 publications

(11 citation statements)

References 50 publications

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“…Hassan put forward the short-term demand analysis of Jiangsu inland river for the first time, in combination with the specific problems existing in Jiangsu inland river shipping and the application prospect of industry [6]. Li put forward the concept of the inland river intelligent transportation system, according to the development of shipping technology level.…”

Section: Literature Reviewmentioning

confidence: 99%

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

Chen

2022

Journal of Control Science and Engineering

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Combined with the YOLOv3 algorithm, the Darknet network developed on the Internet of Things offers boat maintenance, design, and deployment to meet the needs of developing and implementing the Internet of Things-based ship management. System maintenance was completed, solving the problem of care and identifying the vessels in the water important for care. Based on this, the YOLOv3 algorithm has been reported to achieve the target thinking based on the global data map, and the target area thinking and the distribution plan need to be set into a standard neural network. Add a penalty for fixing the boat to different parts of the system together. Binarily divide the needs by a set of logistic regression, allowing rapid tracking and identification of goals in high-risk situations. Experimental results show that the average validation rate of this study’ standard is 89.5% at 30 frames per second. Compared with traditional and in-depth training, this data algorithm is not only more practical and accurate but also more efficient in learning algorithms and various environments. The switches are more flexible and can control multiple ships and their essentials.

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Section: Literature Reviewmentioning

confidence: 99%

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

Chen

2022

Journal of Control Science and Engineering

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“…Using shortest path during data communication: As our solution proposes the distribution of controllers both at the fog layer and cloud layer, during data communication, the shortest path can be easily found by local controllers as each controller has a view of the domain that it is responsible for. The shortest  ISSN: 2302-9285 route is sent to the forwarding devices that accept rules or policies from controllers [24], [25]. Table 1 shows the comparison of the proposed architecture with the related work.…”

Section: Resultsmentioning

confidence: 99%

A smart water grid network for water supply management systems

Ali¹,

Saadi²,

Mahmood

et al. 2022

Bulletin EEI

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This paper proposes a smart water grids network (SWGN) architecture that combines the advantages of fog computing, internet of things (IoT), long range wide area network (LoRaWAN), and Software-defined networking (SDN). The main aims of the SWG architecture are to optimize data routing and monitor water supply and quality in real-time. SWGN handles a vast amount of data that is collected by IoT devices from different points related to water supply and quality. The data is processed in a distributed way by a number of fog servers that are located at the edge of the network. The fog controllers are deployed at the fog layer in order to take action locally for frequent events. The cloud layer has a cloud controller to take actions globally for infrequent events. The LoRaWAN provides communication technology that allows devices to operate regularly. The SDN technology decouples network traffic to control data routing decisions efficiently. A primitive evaluation under the Mininet emulator, focusing on SDN, shows the feasibility and efficiency of the architecture.

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“…Pycharm is a development environment that integrates multiple functions. erefore, it can improve the efficiency of Python development [16]. It includes a complete set of Python language development tools such as code debugging, jump, project management, intelligent operation, and automatic completion of instructions [17].…”

Section: Pycharm Integrated Development Environmentmentioning

confidence: 99%

Design and Implementation of Internet of Things Technology in College Students’ Innovation and Entrepreneurship Integration System

Sun

2022

Computational Intelligence and Neuroscience

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In order to improve the operation efficiency of the innovation and entrepreneurship integration system of college students, this document proposes to formulate and implement the innovation and entrepreneurship integration system of college students based on “Internet technology.” The web front end is implemented by Django technology, the back end is developed by Apache server pycharm, the database is written in Python, and the database is MySQL. The system meets the expected objectives of implementing, monitoring, and managing innovation and entrepreneurship projects. How the system realizes the functions of repeated comparison projects, easy tracking projects, and fast search, and how managers can make progress at any time. By creating different account function permissions, the system realizes the login, declaration, management, and other functions required by the users of the innovation and entrepreneurship project management system. It is very suitable for college students to improve the project application, information review, and application process. At the same time, it is helpful to supervise and select teachers and greatly improve management efficiency. The test results show that the minimum values of 30, 80, and 150 simulated users in the system performance test are 4, 5, and 7, respectively. The maximum users of the system performance test model are 30, 80, 150, 64, 284, and 398. The system performance tests are taken under the conditions of 30, 80, and 150 user bandwidth, with the results of 113/min, 104/min, and 90/min. The system basically meets the daily work management standards and fully achieves the expected system design goals. The development and use of this system are related to the development of college students’ innovation and entrepreneurship project management and have a clear reference for the development of innovation and entrepreneurship project management systems similar to manage workflow in the future.

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Design and implementation of internet of things-based electrical monitoring system

Cited by 17 publications

References 50 publications

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

A smart water grid network for water supply management systems

Design and Implementation of Internet of Things Technology in College Students’ Innovation and Entrepreneurship Integration System

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