There is a rising scarcity of healthcare professionals to meet the demand of taking care of aged people. Social robots are becoming more and more popular because of the benefits they provide; during the pandemic, in p...
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ISBN:
(数字)9798350372120
ISBN:
(纸本)9798350372137
There is a rising scarcity of healthcare professionals to meet the demand of taking care of aged people. Social robots are becoming more and more popular because of the benefits they provide; during the pandemic, in particular, several of their primary applications are advantageous. The purpose of this work is to build the prototype of social robots and carry out the integration of those robots into healthcare monitoring using Thing Speak and Raspberry Pi. This prototype of social robots with Thing Speak and Raspberry Pi hosts an array of sensors (for measuring a multitude of data from the body of humans) like heartbeat sensor, Dallas temperature sensor, Radio-Frequency Identification (RFID), ultrasonic sensor, and Infrared (IR) sensor along with other components like motor controlling module and DC motor. The data from these sensors are transmitted to the cloud platform Thing Speak, offering remote monitoring and data analysis capabilities and the Raspberry Pi acts as the central processing element in our design, which additionally helps in triggering corresponding alerts regarding the patient status. Finally, we experimentally validate our design using 2 cases and then we present the assessment of the patient alerting feature.
This study aims to design and optimize a motor-driven frog-like jumping robot leg for efficient vertical jumps and multiple consecutive horizontal jumps. We have conducted bionic research on frog legs39; structure a...
This study aims to design and optimize a motor-driven frog-like jumping robot leg for efficient vertical jumps and multiple consecutive horizontal jumps. We have conducted bionic research on frog legs' structure and motion characteristics and further explored their motion mechanism, providing new ideas and methods for designing and manufacturing robots with high mobility and adaptability. First, our research team designed a robot leg prototype based on the frog's body structure, optimized the robot using computer-aided design software, and selected a suitable motor-driven actuator. Secondly, the weight reduction optimization of the robot body is carried out regarding material selection and topology optimization to improve the robot's maneuverability and jump height. Finally, after manufacturing the prototype of the robot legs, the robot is experimentally verified. The results show that the robot legs can achieve efficient vertical jumps (the maximum height is 1.40 meters, about 7.8 times the length of the leg link). It can also jump multiple times consecutively, which is significant for applying robots in dangerous environments, search and rescue, and other fields.
The irrigation systems in nurseries can be the cause of various water supply errors- ranging from lack of sufficient water supply to over-watering and imbalance in the water pH levels. Based on the statistics recorded...
The irrigation systems in nurseries can be the cause of various water supply errors- ranging from lack of sufficient water supply to over-watering and imbalance in the water pH levels. Based on the statistics recorded by the department of agriculture and farmers welfare, we have conducted we concluded that the water supply management and plant life maintenance are the major problems. Considering all these real-time errors, we have designed a smart irrigation robot functioning on the inputs from a group of soil moisture sensors which helps eliminate the monotonous task of monitoring and keeping records of the change in soil moisture.
We can obtain valuable information about the human brain using functional Near Infrared Spectroscopy (fNIRS). This paper describes the theoretical basis associated with this neuroimaging method through a custom-made p...
We can obtain valuable information about the human brain using functional Near Infrared Spectroscopy (fNIRS). This paper describes the theoretical basis associated with this neuroimaging method through a custom-made prototype of a single-channel fNIRS device. The optodes were soldered to a milled Printed Circuit Board (PCB) and enclosed in a 3D printed housing. Using this fNIRS device, we performed a preliminary study to measure emotional responses from participants. Our results suggest that fNIRS allows for accurate measurement of emotions evoked by positive and negative images.
Utilisation of space manipulator mounted on the satellite is one the main methods for the proposed Active Debris Removal and On-Orbit Servicing missions. Precise numerical models of the manipulator39;s joint are ver...
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ISBN:
(纸本)9789897585227
Utilisation of space manipulator mounted on the satellite is one the main methods for the proposed Active Debris Removal and On-Orbit Servicing missions. Precise numerical models of the manipulator's joint are very important as its dynamics has a strong effect on the behaviour of the system including the base where it is mounted. One of aspects that can be considered is the extension of manipulator's dynamical equations with gear kinematic constraints. To achieve this goal, dynamical equations of motion for planar 3DoF free-floating manipulator with gear kinematic constraints are presented in this paper. Open-loop analysis is performed to form conclusions concerning the influence of the gear reduction ratio on space manipulator's dynamics. Torques required to perform end-effector straight line trajectory are evaluated using inverse dynamics path planning algorithm and then utilised as motor driving torques for different gear reduction ratios. It appears that the gear reduction ratio influences the system mass matrix nonlinearly causing the end-effector trajectory to deviate from the straight line. These deviations are already observed for relatively low gear reduction ratios.
With the emergence of Industry 4.0 and its highly re-configurable manufacturing context, the typical fixedposition grasping systems are no longer usable. This reality underlined the necessity for fully automatic and a...
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ISBN:
(纸本)9789897585227
With the emergence of Industry 4.0 and its highly re-configurable manufacturing context, the typical fixedposition grasping systems are no longer usable. This reality underlined the necessity for fully automatic and adaptable robotic grasping systems. With that in mind, the primary purpose of this paper is to join Machine Learning models for detection and pose estimation into an automatic system to be used in a grasping environment. The developed system uses Mask-RCNN and Densefusion models for the recognition and pose estimation of objects, respectively. The grasping is executed, taking into consideration both the pose and the object's ID, as well as allowing for user and application adaptability through an initial configuration. The system was tested both on a validation dataset and in a real-world environment. The main results show that the system has more difficulty with complex objects;however, it shows promising results for simpler objects, even with training on a reduced dataset. It is also able to generalize to objects slightly different than the ones seen in training. There is an 80% success rate in the best cases for simple grasping attempts.
Transmission maintenance scheduling (TMS) is an important optimization problem in the electricity distribution industry, with numerous variants studied and methods proposed over the last three decades. The ROADEF chal...
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ISBN:
(纸本)9789897585227
Transmission maintenance scheduling (TMS) is an important optimization problem in the electricity distribution industry, with numerous variants studied and methods proposed over the last three decades. The ROADEF challenge 2020 addresses a novel version of the TMS problem, which stands out by having multiple timedependent properties, constraints, and a risk-based aggregate objective function. Therefore, the problem is more complex than the previous formulations, and the existing methods are not directly applicable. This paper presents a method based on the Adaptive Large Neighborhood Search metaheuristic. The method is compared with the best-known solutions from the challenge qualification phase, in which more than 70 teams participated. The result shows that the method yields consistent performance over the whole dataset, as the method finds the best-known solutions for half of the dataset and finds solutions consistently within 5h gap.
The Automatic Voltage Regulator (AVR) is required to maintain a steady output voltage from the generator, and it relies heavily on the Proportional Integral Derivative (PID) controller. For the function of controlling...
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The Automatic Voltage Regulator (AVR) is required to maintain a steady output voltage from the generator, and it relies heavily on the Proportional Integral Derivative (PID) controller. For the function of controlling industrial loops, a controller known as the PID controller is frequently used on account of its straightforward architecture, uncomplicated implementation, and excellent dependability. Traditional approaches to tuning the PID controller have their limits, but those limits may be overcome by incorporating more sophisticated tuning approaches. The main aim of this study is to provide the ideal design for tuning a PID controller using a Genetic Algorithm (GA) and an Artificial Neural Network (ANN) in order to further improve the PID-based AVR system. The performance of the suggested approach is afterward compared with one another. The results of a simulation carried out in MATLAB show that GA tuning techniques give better performance.
Air pollution is the presence of contaminants or poisonous substances that interfere with human health or welfare or create destructive natural impacts. With the fast improvement of communication innovations, remote s...
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Air pollution is the presence of contaminants or poisonous substances that interfere with human health or welfare or create destructive natural impacts. With the fast improvement of communication innovations, remote sensing technology, and air pollution monitoring systems, it is possible to check the air concentration and take appropriate action. In this paper, a system is developed that can monitor different parameters, like O 3 , NO 2 , CO 2 , and temperature in real time. The control system converts all the data to human-readable values. With the development of a communication system, all data is stored in a cloud database. A decision-making calculation algorithm is developed using advanced technology like cloud computing. Further, a visual platform was created to allow the user to access the data remotely.
This paper introduces the novel Icon- based Graphic Code (IbGC), which is a new paradigm for Machine Readable Code (MRC) with configurable aesthetics. In IbGC, data is encoded as a sequence of icons positioned over th...
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ISBN:
(数字)9798331534424
ISBN:
(纸本)9798331534431
This paper introduces the novel Icon- based Graphic Code (IbGC), which is a new paradigm for Machine Readable Code (MRC) with configurable aesthetics. In IbGC, data is encoded as a sequence of icons positioned over the code region. The design and position of the icons is designed for each application, allowing complete control of the final aesthetics of the MRC.
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