Internet of Things Platform for Advantageous Renewable Energy Generation

Rashel, Masud Rana; Islam, Mahmudul; Sultana, Sharmin; Ahmed, Md. Tofael; Akhund, Tajim Md. Niamat Ullah; Sikta, Jebun Naher

doi:10.1007/978-981-16-5207-3_10

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…Their work extends to the development of an IoT-based automated irrigation system for smart farming, as highlighted in [20]. Additionally, covering topics such as the role of robotics in medical applications [21], smart agricultural systems using IoT [22], and an IoT platform for advantageous renewable energy generation [23] uses IoT. Self-powered IoT-based designs for multi-purpose smart poultry farms [24], posture recognizer robot equipped with remote sensing for areas affected by viruses [25], IoT waiter bot tailored for restaurants [26], and a low-cost IoTbased robotic agent designed to assist individuals with disabilities and those affected by COVID-19 [27] are great examples of IoT based works.…”

Section: Background Studymentioning

confidence: 99%

IoST-Enabled Robotic Arm Control and Abnormality Prediction Using Minimal Flex Sensors and Gaussian Mixture Models

Akhund,

Shaikh,

De La Torre Díez

et al. 2024

IEEE Access

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This work presents a groundbreaking approach with a fusion of the Internet of Sensing Things (IoST) and robotics. This system utilizes four flex sensors strategically placed on the most flexible fingers across both hands to control a Six-DoF robotic arm, offering a novel interface for those with limited mobility. This system can also be used for moving toxic objects. The Raspberry Pi is the central control unit that acquires data from the flex sensor and controls the servo motors. Moreover, the device incorporates machine learning to learn the daily movements of the users and predict abnormal finger movements. Multiple data analyses and visualization are initiated to predict the normal and abnormal data. GMMs or Gaussian Mixture Models showed successful results among various abnormality detection processes. This amalgamation of flexible sensing and mathematical modeling offers precision and adaptability in control mechanisms.

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Section: Background Studymentioning

confidence: 99%

IoST-Enabled Robotic Arm Control and Abnormality Prediction Using Minimal Flex Sensors and Gaussian Mixture Models

Akhund,

Shaikh,

De La Torre Díez

et al. 2024

IEEE Access

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“…Disabled [11] and virus affected people are getting help from IoT [12][13] [14]. Poultry farming [15], agriculture [16], irrigation [17], remote sensing [18][19], restaurants [20], patient management [21], robotics [22], renewable energy [23], image processing [24], E-health [25], and many other sectors [26] are getting help from IoT in a secure way [27]. So, IoT can help in public health screening and musk detection also.…”

Section: Literature Reviewmentioning

confidence: 99%

Internet of Things Based Low-Cost Health Screening and Mask Recognition System

Md. Niamat Ullah Akhund,

Tasnim Newaz,

Sarker

2024

IJCDS

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Face masks can reduce the spread of several viruses as well as coronavirus and help people to save many lives. Many people are not serious about wearing face masks. This work results in a system that can detect the face mask of a person with CNN. The system can identify anyone without a face mask. An IoT-based module is integrated with the system to monitor people's temperature, blood pulse, and oxygen levels. Which can collect all the sensor data and send the data to a cloud database. From the cloud server, the mask condition and health condition can be monitored. The collected data can also be used for future analysis. The proposed low-cost system worked properly with a success rate.

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“…IoT based systems and robots are helping mankind in remote monitoring [10], remote sensing [11], disabled patient management [12], virus affected people management [13] and so on in all times [14] in secure way [15]. Embedded systems and IoT are helping hospitals [16], Agricultural Systems [17], energy generation [18], electronic voting [19] and bio-metric [20] security systems. Akhund et al [6] reported a 97.9% success rate to recognize hand gestures of disabled as well as virus-affected people to operate the robot.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT based Low-cost Posture and Bluetooth Controlled Robot for Disabled and Virus Affected People

Akhund¹,

Hossain²,

Kubra³

et al. 2022

IJACSA

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IoT-based robots can help people to a great extent. This work results in a low-cost posture recognizer robot that can detect posture signs from a disabled or virus-affected person and move accordingly. The robot can take images with the Raspberry Pi camera and process the image to identify the posture with our designed algorithm. In addition, it can also take instructions via Bluetooth from smartphone apps. The robot can move 360 degrees depending on the input posture or Bluetooth. This system can assist disabled people who can move a few organs only. Moreover, this system can assist virus-affected persons as they can instruct the robot without touching it. Finally, the robot can collect data from a distant place and send it to a cloud server without spreading the virus.

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Internet of Things Platform for Advantageous Renewable Energy Generation

Cited by 7 publications

References 24 publications

IoST-Enabled Robotic Arm Control and Abnormality Prediction Using Minimal Flex Sensors and Gaussian Mixture Models

IoST-Enabled Robotic Arm Control and Abnormality Prediction Using Minimal Flex Sensors and Gaussian Mixture Models

Internet of Things Based Low-Cost Health Screening and Mask Recognition System

IoT based Low-cost Posture and Bluetooth Controlled Robot for Disabled and Virus Affected People

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