A design of radio-controlled submarine modification for river water quality monitoring

Sukaridhoto, Sritrusta; Pramadihanto, Dadet; Taufiqurrahman,; Alif, Muhammad Nur; Yuwono, Andrie; Funabiki, Nobuo

doi:10.1109/isitia.2015.7219956

Cited by 13 publications

(6 citation statements)

References 4 publications

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“…The choice of locations that will yield valuable data was the second phase. Data measurements on pristine, unspoiled seas would yield predictable findings, thus the area in issue should be subject to some chemical variations by either marine life or human involvement [13].…”

Section: Monitoring Water Qualitymentioning

confidence: 99%

Design & development of an acqua-robotic system for detecting objects in water

Manjunath¹

2023

IJETMS

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The purpose of this study is to build and implement an underwater robot called an Aquabot that can search for potential human presence. This robot is anticipated to be incredibly helpful in operations for underwater person detection during water accidents. The security at these borders is extremely important, and monitoring the marine borders is a very challenging undertaking. Marine exploration is required to comprehend the worldwide climatic and environmental changes. This initiative contributes to different data collection, weather monitoring, and pH sensing fields of research. Disaster prevention, including earthquake and tsunami mitigation, is possible with this data. Many locations lack garbage disposal facilities. As a result, throwing trash into neighbouring bodies of water has grown to be a serious problem. Since this kind of dumping harms the environment, Aquabot offers cleaning, weather monitoring, pH sensing, and other applications.

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Section: Monitoring Water Qualitymentioning

confidence: 99%

Design & development of an acqua-robotic system for detecting objects in water

Manjunath¹

2023

IJETMS

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“…The result of research for big data architecture at under water for water quality monitoring has also been done in several pieces of research [11][12][13]. A coral monitoring system was created by having four major subsystems.…”

Section: Related Workmentioning

confidence: 99%

Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration

Dzulqornain¹,

Rasyid²,

Sukaridhoto³

2018

MATEC Web Conf.

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The internet of things technology (IoT) is growing very rapidly. IoT implementation has been conducted in several sectors. One of them is for aquaculture. For the traditional farmers, they face problems for monitoring water quality and the way to increase the quality of the water quickly and efficiently. This paper presents a real-time monitoring and controlling system for aquaculture based on If This Then That (IFTTT) model and cloud integration. This system was composed of smart sensor module which supports modularity, smart aeration system for controlling system, local network system, cloud computing system and client visualization data. In order to monitor the water condition, we collect the data from smart sensor module. Smart sensor module consists of sensor dissolved oxygen, potential of hydrogen, water temperature and water level. The components of smart aeration system are microcontroller NodeMCU v3, relay, power supply, and propeller that can produce oxygen. The system could set the IFTTT rules for the ideal water condition for the pond in any kinds of aquaculture based on its needs through the web and android application. The experimental result shows that use IFTTT model makes the aquaculture monitoring system more customizable, expandable and dynamic.

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“…There are several studies on real-time environmental monitoring used cloud computing that implements with big data concept, one of which is Smart Environment Monitoring and Analytics in Real-time System (SEMAR) [4][5][6][7][8]. SEMAR is used to detect river water quality using portable devices integrated with water quality sensors [4] and also ROV (small robot submarine) that are installed with water quality sensors [5], [6]. This is an alternative solution to assist governments in monitoring water environments in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Data Abstraction Layer Using Kafka on SEMAR Platform for Air Quality Monitoring

Panduman

Albaab

Besari

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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Urbanization and fast-growing industries causing air quality in urban areas to be bad and even tend to be dangerous. In addition, the largest percentage of energy emissions come from the transportation sector, specifically on road transportation. Therefore, the need for a quality detection system that is capable of distributing and displaying large data information in real-time cannot be resolved by the system currently used by the government. This research offers a solution to the implementation of data abstraction in cloud computing which is built using the concept microservice architecture and integrated with mobile-based sensors to detect air quality in real-time. This solution consists of integrated cloud computing services using Smart Environment Monitoring and Analytical in Real-time (SEMAR) and Vehicles as Mobile Sensor Networks (VaaMSN) to detecting air quality. SEMAR was built with microservice references consist of data abstraction, communication, data analytical with business analytics proccess, data storage with Big data service and also real-time visualization in maps, chart, and table through dasboard website. Through the experiments that we did show that the microservice of data abstraction layer can be installed at the SEMAR stage indicating that the average delay in sending information is around 0.09 ms (90μs), this indicates that the system can be said to be real-time. With specific and real-time locations in data visualization, the government can use this method as an new alternative method of air quality.

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A design of radio-controlled submarine modification for river water quality monitoring

Cited by 13 publications

References 4 publications

Design & development of an acqua-robotic system for detecting objects in water

Design & development of an acqua-robotic system for detecting objects in water

Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration

Implementation of Data Abstraction Layer Using Kafka on SEMAR Platform for Air Quality Monitoring

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