With the advancement of technology, systems in many different areas of application have become more complex, and obtaining reliable mathematical models is a task that is increasingly becoming more difficult as well. T...
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ISBN:
(数字)9781665462808
ISBN:
(纸本)9781665462815
With the advancement of technology, systems in many different areas of application have become more complex, and obtaining reliable mathematical models is a task that is increasingly becoming more difficult as well. To overcome these issues, new methodologies have emerged, such as the one known as Data-Driven-Control (DDC), which uses the input and output data of the system to design a controller, and Behavior-Based-Control (BBC), which provides the controller based on the desired behavior of a system. In this work, these two methodologies were applied to obtain the transfer function of a Single-Input Single-Output mobile robotic platform that moves parallel to a wall. A Proportional Integral Derivative controller was used to control the left wheel, while the right wheel was set to a constant speed, allowing the mobile robot to maintain a constant distance from the wall. The controller was tuned utilizing root locus methodology with an overshot of 16.7%, settling time of 6.45 seconds, and a static error of 2.1%. Additionally, disturbances were added to test the robustness of the mobile robot model and the PID controller.
A location's Take-up Rate was significantly influenced by its Internet connectivity and availability. The purpose of this research is to answer concerns about internal Internet Service Provider issues that affect ...
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ISBN:
(数字)9798350327472
ISBN:
(纸本)9798350327489
A location's Take-up Rate was significantly influenced by its Internet connectivity and availability. The purpose of this research is to answer concerns about internal Internet Service Provider issues that affect Internet connectivity in clusters of West Java, Indonesia. It also aims to evaluate the results of models that forecast how these internal factors will affect internet connectivity. According to the research findings, the FTTH Cluster has eight significant Internet predictor connectivity out of 18 elements. Activation delay and Administration Documentation of Activation with Connectivity were the two major parameters modeled out of the 18 components. Artificial Neural Network (ANN), Support Vector Machine (SVM), and Decision Tree (DT) models were used to predict Internet Broadband Connectivity Classification based on the two most important variables. According to the study, ANN is the best model, with 99% accuracy and 99.6% precision when compared to SVM and DT. Furthermore, it exceeds previous studies that used the ANN model and achieved 97.92% accuracy.
Exclusive-OR Sum-of-Products expressions (ESOPs) are vital for circuit synthesis of arithmetic functions and emerging technologies. The state-of-the-art ESOP extraction methods are limited in their inefficient exhaust...
Exclusive-OR Sum-of-Products expressions (ESOPs) are vital for circuit synthesis of arithmetic functions and emerging technologies. The state-of-the-art ESOP extraction methods are limited in their inefficient exhaustive exploration strategy, significant optimality loss in the divide-and-conquer process, and incapability of handling don’t-cares. This work overcomes these limitations by reduced decomposition exploration with a cost estimation and refinement strategy, generally applicable to incompletely specified functions. Experiments show up to 29× (average 12×) runtime and 28× (average 13×) memory-usage improvements with a quality close to the exact optimum obtained by exhaustive exploration for completely-specified functions, and substantial ESOP simplification with don’t-cares for incompletely-specified functions.
We propose a new method for fabricating arrays of colloidal quantum dots for color conversion layers (CCLs) with atomic layer deposited (ALD) encapsulation. Semiconductor processes were used to transfer the CCL onto a...
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One of the most important issues in smartphones is power consumption. The CPU is one of the most power-consuming devices, and controlling the CPU clock rate affects the device's power consumption and performance. ...
One of the most important issues in smartphones is power consumption. The CPU is one of the most power-consuming devices, and controlling the CPU clock rate affects the device's power consumption and performance. However, there is a trade-off between improving device performance and reducing power consumption. Increasing the CPU clock rate improves performance but increases power consumption. Conversely, decreasing the CPU clock rate reduces performance but helps reduce power consumption. Therefore, it is ideal to decrease the CPU clock rate when and only when its usage is low. However, the Linux kernel installed on Android smartphones controls the CPU clock rate by tracking past CPU usage. Therefore, when the CPU usage changes rapidly, there is a time lag between the CPU usage and the CPU clock rate. To address this issue, in our previous work, we proposed a CPU clock rate control concept based on observation of the behavior of the foreground application. In this paper, we demonstrate the effectiveness of the previously proposed method by implementing a simple CPU clock rate control system and comparing it with the existing scaling controller.
Identifying the service to be connected from an IP flow is beneficial for various applications, and a method of identifying the service based on the SNIs occurring in the flow was proposed. It was also shown that the ...
Identifying the service to be connected from an IP flow is beneficial for various applications, and a method of identifying the service based on the SNIs occurring in the flow was proposed. It was also shown that the identification accuracy could be improved by excluding some SNIs from those for identification. However, no discussion has been published on the probability of SNIs occurring in actual service accesses. In this paper, we compare the probability of occurrence of each SNI in each service and show that there are redundant SNIs whose probabilities are the same, and there is one SNI that occurs in all services with similar probabilities and is not useful for service identification. We then show that identification accuracy can be improved by excluding the SNI that occurs in all services from the service identification data.
Integrating optical diffraction tomography with imaging flow cytometry enables label-free quantifications of the three-dimensional (3D) morphology and hemoglobin content of red blood cells (RBCs) in their natural form...
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Exoskeletons are wearable mechanisms which, parallel to the wearer’s joints, modulate movements through active or passive torque application. While existing upper-limb exoskeletons offer benefits in strength augmenta...
Exoskeletons are wearable mechanisms which, parallel to the wearer’s joints, modulate movements through active or passive torque application. While existing upper-limb exoskeletons offer benefits in strength augmentation and therapy, they often suffer from limited degrees of freedom and excessive bulk, hindering their utility in neuromotor rehabilitation. This study introduces a three degree-of-freedom active upper-limb exoskeleton optimized for neuromotor rehabilitation. Employing anthropometric data and rigorous kinematic analysis, the design accommodates elbow flexion/extension, forearm pronation/supination, and hand gripping. The upper limb dynamics, kinematics, and physiology were evaluated to provide adequate joint ranges of motion. Cable-driven actuators in the elbow and forearm joints were designed to provide low worn weight through the relocation of the motor units away from the user’s joints. The result is a lightweight, compact exoskeleton that provides optimal conditions for neuromotor rehabilitation. Finally, a preliminary control strategy was tested using myoelectric signals to trigger motion.
This work reports the microstructuring of cobalt (Co) thin films by high-energy UV pulsed laser irradiation. The parameters responsible for the efficient formation of such microstructures include laser fluence and fil...
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Electric Arc Furnace and Ladle Furnace transformers are very important in steel production industry. The overvoltages caused by vacuum circuit breaker during operation are very repetitive and can lead to failures and,...
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ISBN:
(纸本)9781665491075
Electric Arc Furnace and Ladle Furnace transformers are very important in steel production industry. The overvoltages caused by vacuum circuit breaker during operation are very repetitive and can lead to failures and, consequently, large financial losses. The use of protection devices, as RC filters and surge arresters, can attenuate theses transient overvoltages. However, the clamping of one of the circuit breaker phases, which is a common event to occur in a system like this, can cause failure to one of the phases of the transformer protection system, due to ferroresonance effect. Operation of this transformer without one of the phases of the RC filter and surge arrest will likely lead it to failure after repetitive overvoltages. This paper presents the study and analysis of the cause of insulation failure in a no-load Ladle Furnace (LF) transformer caused by overvoltages during vacuum circuit breaker switching transients and by ferroresonance effects. The system of a real steel mill is modelled and will be used to perform simulations in Simulink/Matlab.
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