Low-cost environmental monitoring mini rover based on IoT technology

Pauzi, Nurul Ayni Mat; Mustaza, Seri Mastura; Yahya, Iskandar

doi:10.19101/ijatee.2020.s3762190

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…Soft robots [18,19] are inspired by softbodied creatures that mimic nature. For example, invertebrate earthworms, worms, and other organs such as elephant trunks, octopus tentacles, and human hands are all imitated 3 Wireless Communications and Mobile Computing objects of soft robots.…”

Section: Soft Robotsmentioning

confidence: 99%

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Design Optimization of IoT-Assisted Intelligent Education Soft Robot Based upon Improved GA

2022

Wireless Communications and Mobile Computing

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A soft robot is a kind of robot designed to simulate mollusks. It has the characteristics of degrees of freedom, strong adaptability, and high flexibility and safety. The main purpose of this paper is to study the intelligent education assistance of soft robots and then combine the application of improved genetic algorithm and the Internet of Things technology in soft robots to improve its performance and effect. Therefore, this paper designs the optimal guidance strategy through the NSGA genetic algorithm and then combines the improved genetic algorithm and the application of the Internet of Things technology in the flexible actuator and FEA actuator of the soft robot. In order to optimize the performance of the IoT-assisted intelligent education software robot based on the improved genetic algorithm, the genetic algorithm simulation test experiment, the rolling motion simulation experiment of the bionic software robot, and the inflating and exhausting experiment of the base section of the software robot are designed and analyzed. Through the analysis of the data obtained from the experiment, this paper finally designs a set of controlled experiments to verify its teaching ability. The experimental results show that the students’ evaluation of the IoT intelligent education software robot education method based on the improved genetic algorithm designed in this paper is 16.31 points higher than that of the traditional education method. Compared with the traditional teaching, the scores of the students after the IOT intelligent education software robot teaching based on the improved genetic algorithm is 11.16 points higher.

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Section: Soft Robotsmentioning

confidence: 99%

“…IoT Technology. The Internet of Things [19] is an intelligent network that realizes the interconnection of all things.…”

Section: Mechanical Model Of Elastic Substratementioning

confidence: 99%

Design Optimization of IoT-Assisted Intelligent Education Soft Robot Based upon Improved GA

2022

Wireless Communications and Mobile Computing

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“…However, there are also shortcomings. In the data collection technology, RFID technology [5] is not enough, and it can only identify the type and characteristic attributes of the items. is technology is collected in the Internet of ings.…”

Section: Key Technologies Of the Internet Of Ingsmentioning

confidence: 99%

Construction of Perceptual Classroom Based on Internet of Things Technology

2022

Mobile Information Systems

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At present, in the traditional classroom teaching process, there are still problems such as differences in students’ original knowledge, low student participation, and single teaching methods. For students, the mobile phone carrying rate is high, but the learning utilization rate is low and has self-control, poor ability, and low classroom participation. To solve the above problems, the research on the construction of perception classrooms based on the Internet of Things technology is particularly important. Perceived classroom refers to the use of existing technology to closely connect students and teachers, fully mobilize students’ enthusiasm, and make the classroom atmosphere. This article aims to study the construction of perceptual classrooms based on the Internet of Things technology to increase students’ interest. Through the investigation of the current situation of the digital campus, relying on the Internet of Things technology, the feasibility of the perception classroom is analyzed, and the perception classroom is constructed through the design of image processing and fuzzy control rules, which provides a perfect hardware environment for the digital campus. The experimental results show that based on the Internet of Things technology, through the perception of classroom interaction and practical activities, learning is no longer a process of mechanical memory of book knowledge, but a process of students constantly discovering and exploring problems and then solving problems in the process of practice. Among 84 classroom teaching behaviors, classroom interaction accounted for 69.05% of the total classroom teaching activities. In the “computer + projection” classroom environment, the proportion of teacher-student interaction in classroom teaching activities is 40.47%. Teachers can focus on the design of teacher-student interaction according to the characteristics of students and learners, avoid long-term theoretical explanations, and intersperse interactive links such as question and answer and request answers.

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“…There are several areas where it is used with different aspects successfully. For example, it is helpful in environment monitoring, heart disease prediction and it is also capable with different machine learning algorithms for data extraction and alarming (6)(7)(8). It is found from the literature that the IoT with cloud, big data and algorithms based on machine intelligence can be effective in the infectious disease prediction also (9)(10)(11).…”

Section: Introductionmentioning

confidence: 99%

A Review and Analysis of IoT and Machine Learning Algorithms in the Brain Disease Diagnosis and Detection

Chahar

Dubey

2022

ECS Trans.

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In this paper, a review and analysis were performed based on the Internet of Things (IoT) and machine learning algorithms for the brain disease diagnosis and detection. This paper covers different aspects of its applications in the direction of brain disease diagnosis and detection. This paper explores the opportunities through different sensor devices. The assessment and analysis were performed based on different parameters, which covers the parametric evaluation of IoT based sensor for the growth of the medical structures. It also covers the new challenges and prospective solutions with detailed discussion and analysis. It shows the detailed exploration of the applicability of artificial intelligence and machine learning.

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Low-cost environmental monitoring mini rover based on IoT technology

Cited by 5 publications

References 13 publications

Design Optimization of IoT-Assisted Intelligent Education Soft Robot Based upon Improved GA

Design Optimization of IoT-Assisted Intelligent Education Soft Robot Based upon Improved GA

Construction of Perceptual Classroom Based on Internet of Things Technology

A Review and Analysis of IoT and Machine Learning Algorithms in the Brain Disease Diagnosis and Detection

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