Zootechnical Knowledge of floating cage aquaculture in freshwaters ecosystems and load capacity determination: Review

Aïzonou, Romaric; Achoh, Mardochée Ephraïm; Hountcheme, I.A.C.; Agadjihouèdé, Hyppolite; Ahouanssou-Montcho, S.; Montchowui, Élie

doi:10.1016/j.ejar.2020.10.013

Cited by 5 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1) Detect load capacity [32]: The device is coded to be able to take input from the load cell, and the data will be processed and compared with the specified fixed variable. So that it provides notification output to be forwarded to drivers and officers 2) Sending the location of the vehicle: The device is coded to convey the vehicle's coordinates in real-time to the officer.…”

Section: Program Code Writingmentioning

confidence: 99%

Internet of Things (IoT) Innovation and Application to Intelligent Governance Systems: A Case Study on DISHUB for Transport Vehicles

Azis

Krisbiantoro

Riyanto

2023

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

Vehicles can be used to facilitate humans in carrying out their daily activities. Motorized vehicles are divided into 3: land, sea, and air. Apart from the many benefits that can be obtained, motorized vehicles have dangers related to high-risk accidents. The highest cause of motorized vehicle accidents on land is road damage due to overload vehicles. Brake failure due to overload vehicles also contributes to vehicle accidents. This research aims to create an Internet of Things (IoT) based application to detect motorized vehicle load conditions. It was combined with several other technologies to produce a tool for detecting motor vehicle load conditions. The Extreme Programming Method is being used in this research. The Extreme Programming method is considered more suitable for completing this research because the communication with stakeholders is quite different. The Extreme Programming Method enables it to go back to the next step if discrepancies are encountered in making the system. The result of this research is an IoT-based tool called e-overload. It can detect vehicle loads, provide information for the drivers, and inform the results to related officers at the same time. E-overload tool will enable the drivers to get real-time information on the load on their vehicles. Officers will get additional evidence and the latest position of the vehicle to carry out actions against motorists who operate their vehicles with excessive loads.

show abstract

Section: Program Code Writingmentioning

confidence: 99%