Self-powered IoT-Based Design for Multi-purpose Smart Poultry Farm

Akhund, Tajim Md. Niamat Ullah; Snigdha, Shouvik Roy; Reza, Md. Sumon; Newaz, Nishat Tasnim; Saifuzzaman, Mohd.; Rashel, Masud Rana

doi:10.1007/978-981-15-7062-9_5

Cited by 20 publications

(6 citation statements)

References 9 publications

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“…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. Alzheimer's disease patient management system utilizing pervasive sensors [28] also used IoT and ML.…”

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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“…IoT-based systems are also secure [14]. These systems can also help in agriculture [15], poultry farm [16], disable people management [17], electronic voting [18], gaming [19], farming [20], nursing [21], remote data sensing [22], virus affected area monitoring [23][24] from remote places [25]. IoT based irrigation systems are helping farmers [26] and farming [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Covid-19 Effects on Private Tuition in Bangladesh and Internet of Things based support system

Akhund¹,

Newaz²,

Sarker³

2023

IJCDS

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Private tutoring is an important matter in Bangladesh. Many students take private tutor for various study. Many teachers and senior students become private tutor to get some extra income or primary income. During the COVID-19 pandemic time this profession and teaching status are changed in a great extent. This work makes a survey about private tuition among thousands of students and teachers from Dhaka city in Bangladesh. This work analyzed the collected data in multiple aspects and suggested some support system with the Internet of Things and Information Technology. The proposed IoT based system can help the students and teachers with remote monitoring. With the IoT based system the tutor and student both can check each other's physical condition from a remote place without affecting them with virus. The collected data shows a clear concept about the condition of private tuition and the IoT based solution worked successfully. The outcome of the system showed good results.

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“…IoT-based systems are also secure [20]. These systems can also help in agriculture [21], poultry farm [22], disable people management [23], electronic voting [24], gaming [25], farming [26], nursing [27], remote data sensing [28], virus affected area monitoring [29][30] from remote places [31]. IoT based irrigation systems are helping farmers [32] and farming [33].…”

Section: Related Workmentioning

confidence: 99%

Parallelizing Image Processing Algorithms for Face Recognition on Multicore Platforms

Mia¹,

Islam²,

Assaduzzaman³

et al. 2022

IJACSA

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A good face detection system should have the ability to identify objects with varying degrees of illumination and orientation. It should also be able to respond to all the possible variations in the image. The image of the face depends on the relative camera face pose such as the nose and one eye. The appearance of a face is directly influenced by the facial expression of a person and partially occluded by objects around it. One of the most important and necessary conditions for face recognition is to exclude the background of reliable face classification techniques. However, the face can appear in complex backgrounds and different positions. The face recognition system can mistake some areas of the background for faces. This paper solves some face recognition problems including segmenting, extracting and identifying facial features that are thought to face from the background.

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Self-powered IoT-Based Design for Multi-purpose Smart Poultry Farm

Cited by 20 publications

References 9 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

Covid-19 Effects on Private Tuition in Bangladesh and Internet of Things based support system

Parallelizing Image Processing Algorithms for Face Recognition on Multicore Platforms

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