Millions of people worldwide suffer from the neurological condition known as epilepsy. The health of patients depends on the prompt identification of epileptic seizures, and technology can be very helpful in this resp...
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ISBN:
(纸本)9798350368109
Millions of people worldwide suffer from the neurological condition known as epilepsy. The health of patients depends on the prompt identification of epileptic seizures, and technology can be very helpful in this respect. We present a smart health band in this conference article that interfaces with an ESP8266 Node MCU, uses a number of sensors (BMP280, MAX30102, IR, DHT11, LDR, and an OLED display), and interacts with MATLAB for data processing and *** is a neurological condition that impacts millions globally, making the prompt identification of seizures essential for patient care. In this conference paper, we introduce an innovative health band designed to continuously monitor vital parameters, including heart rate, oxygen levels, temperature, humidity, and ambient light through a range of sensors. The data collected in real-time is analyzed using MATLAB algorithms to detect patterns that may indicate an impending seizure. Upon detection, the health band activates an alert system that notifies caregivers or healthcare professionals, providing them with the patient's current location. The alert system of the smart health band is crafted to ensure efficiency and effectiveness, delivering timely notifications through multiple communication methods. The patient's location is determined using GPS or Wi-Fi positioning, facilitating rapid response and intervention during seizure events. Furthermore, the health band leverages cloud computing for data storage and analysis, allowing for remote health monitoring and access. This proposed system presents a holistic approach to epilepsy management and seizure detection, featuring an integrated alert mechanism and real-time location tracking through IoT and cloud technologies. By employing various sensors connected to an ESP8266 Node MCU and utilizing MATLAB for data processing, this system offers a reliable and precise method for seizure detection. The smart health band has the potential to greatly enhance the q
In this work, the consensus tracking control problem of leader-follower nonlinear multi-agent systems with actuator faults and unknown control directions is studied. Based on the application of neural network, the unc...
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Technology has become an integral part of our everyday lives. Televisions, smartphones, laptops, the Internet, and other technological advancements have become indispensable to modern life. Internet of Things (IoT)-en...
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In Software-Defined Networking (SDN), the positioning of controllers and the division of switches determine the upper limit of the network's responsiveness to network events. However, highly dynamic satellite netw...
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ISBN:
(纸本)9798350374377
In Software-Defined Networking (SDN), the positioning of controllers and the division of switches determine the upper limit of the network's responsiveness to network events. However, highly dynamic satellite networks pose a significant challenge to the controller placement problem. The difficulty is to achieve efficient control over a long period of time with low overhead. Existing methods mostly perform computations independently and greedily in each time slot, leading to frequent changes in the controller placement and the control relationships between controllers and switches. In this paper, we present a comprehensive model to measure the control plane overhead. By defining migration overhead and anticipated overhead to ensure the continuity of control strategies, we formulate the controller placement problem in Software-Defined Low Earth Orbit (LEO) satellite networks as an optimization problem. To tackle this issue, we draw inspiration from hierarchical clustering techniques and introduce a heuristic algorithm named Hierarchical Clustering-based Minimizing Overhead Algorithm (HCMOA). Evaluations of our simulation system show that HCMOA significantly outperforms relevant approaches in terms of control overhead and average response latency.
The world is fast changing due to digitalization and the disruption brought on by the use of digital technology. All IT operations require a high level of speed, and this necessitates a paradigm shift in quality assur...
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The paper investigates the core elements of the ball and plate model, including its mechanical framework, sensor systems, and control methodologies. It explores the dynamic behavior of the ball in response to changes ...
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The emerging technology of quantum computing has the potential to change the way how problems will be solved in the future. This work presents a centralized network control algorithm executable on already existing qua...
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ISBN:
(纸本)9798350363869;9798350363852
The emerging technology of quantum computing has the potential to change the way how problems will be solved in the future. This work presents a centralized network control algorithm executable on already existing quantum computer which are based on the principle of quantum annealing like the D-Wave AdvantageT. We introduce a resource reoccupation algorithm for traffic engineering in wide-area networks. The proposed optimization algorithm changes traffic steering and resource allocation in case of overloaded transceivers. Settings of active components like fiber amplifiers and transceivers are not changed for the reason of stability. This algorithm is beneficial in situations when the network traffic is fluctuating in time scales of seconds or spontaneous bursts occur. Further, we developed a discrete-time flow simulator to study the algorithm's performance in wide-area networks. Our network simulator considers backlog and loss modeling of buffered transmission lines. Concurring flows are handled equally in case of a backlog. This work provides an ILP-based network configuring algorithm that is applicable on quantum annealing computers. We showcase, that traffic losses can be reduced significantly by a factor of 2 if a resource reoccupation algorithm is applied in a network with bursty traffic. As resources are used more efficiently by reoccupation in heavy load situations, overprovisioning of networks can be reduced. Thus, this new form of network operation leads toward a zero-margin network. We show that our newly introduced network simulator enables analyses of short-time effects like buffering within fat-pipe networks. As the calculation of network configurations in real-sized networks is typically time-consuming, quantum computing can enable the proposed network configuration algorithm for application in realsized wide-area networks.
During the Industrial Revolution, many technologies, especially virtual or computer-based design, were developed significantly. To adapt to the rapid change of practical manufacturing, a novel approach for the system ...
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Domestic automation has grown to be an crucial component of our day by day lives in the global context. The usage of scarce resources is directly tied to our level of domestic comfort. By building our home smart to in...
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