The authors propose a distributed field mapping algorithm that drives a team of robots to explore and learn an unknown scalar field using a Gaussian Process(GP).The authors’strategy arises by balancing exploration ob...
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The authors propose a distributed field mapping algorithm that drives a team of robots to explore and learn an unknown scalar field using a Gaussian Process(GP).The authors’strategy arises by balancing exploration objectives between areas of high error and high *** computing high error regions is impossible since the scalar field is unknown,a bio-inspired approach known as Speeding-Up and Slowing-Down is leveraged to track the gradient of the GP *** approach achieves global field-learning convergence and is shown to be resistant to poor hyperparameter tuning of the *** approach is validated in simulations and experiments using 2D wheeled robots and 2D flying mini-ature autonomous blimps.
The banking sector is widely acknowledged for its intrinsic unpredictability and susceptibility to risk. Bank loans have emerged as one of the most recent services offered over the past several decades. Banks typicall...
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Accessing wireless services is convenient but not secure. The issue of privacy and security is highly demanded on the internet. The information is sent with the undesired threats of eavesdroppers. Secure communication...
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This research works to analyze the practical implementation of IoT technology in revamping the elderly health care system, with cardio care and heart health monitoring and analysis in mind. The study goes to great len...
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ISBN:
(纸本)9798350388800
This research works to analyze the practical implementation of IoT technology in revamping the elderly health care system, with cardio care and heart health monitoring and analysis in mind. The study goes to great lengths not just to depict but also to seek solutions for the increasing problems of an aging population. As a result, new strategies for the provision of healthcare to the elderly are among the priorities. At its core, the research team will exploit Internet of Things (IoT) devices, sensors, and advanced data analytics to come up with a way of dynamic, continuous, and real-time monitoring of heart health. The paper starts by outlining whether changing demographics related to elderly people should be a top priority in healthcare services and, mainly, how much can be crucial in tackling heart health issues. After setting goals, the study will proceed by formulating, testing, and assessing an efficient Internet of Things-based healthcare approach for monitoring the heart health of elderly people. Regarding details of a method that involves picking up IoT gadgets and sensors, data collection procedures and strategies for participant recruitment will be provided. This article is focused on such technologies as architecture, heart disease monitoring, and algorithms for data processing. Findings unveiled some basic facts about the data collected from the elderly, for instance, their cardiac-related research. The implementation of the research findings in practice is mentioned, stressing patient-oriented projects such as personalized care plans and the interventions done at the right time by the Internet of Things-driven healthy lifestyle system. The last paragraph outlines the future directions for the technology-proficient healthcare assistants of tomorrow, including their refinement and mass use, ultimately ending up with the affirmation of the revolutionized elderly care practices of the future brought forth by IoT technologies. Firstly, the study exemplifies
The COVID-19 pandemic started in 2019, from this situation people learned that the use of face masks is one of the most effective ways to protect themselves from Coronavirus. A problem has arisen from this situation. ...
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Wireless sensor networks (WSNs) rely on energy-conserving routing protocols due to the limited power and communication capabilities. The LEACH protocol has seen extensive usage despite its homogeneous network foundati...
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Blurred text documents such as historical documents, handwritten manuscripts, old newspapers, moist invoices or legal agreements, old books, hand written notes often present readability challenges because the quality ...
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Dysarthria, dysphonia, and hypophonia are the early symptoms of Parkinson's disease. Thus, vocal attributes are frequently used for the initial diagnosis of Parkinson's disease, but the role of gender in ...
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File entropy is one of the major indicators of crypto-ransomware because the encryption by ransomware increases the randomness of file ***,entropy-based ransomware detection has certain limitations;for example,when di...
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File entropy is one of the major indicators of crypto-ransomware because the encryption by ransomware increases the randomness of file ***,entropy-based ransomware detection has certain limitations;for example,when distinguishing ransomware-encrypted files from normal files with inherently high-level entropy,misclassification is very *** addition,the entropy evaluation cost for an entire file renders entropy-based detection impractical for large *** this paper,we propose two indicators based on byte frequency for use in ransomware detection;these are termed EntropySA and DistSA,and both consider the interesting characteristics of certain file subareas termed“sample areas”(SAs).For an encrypted file,both the sampled area and the whole file exhibit high-level randomness,but for a plain file,the sampled area embeds informative structures such as a file header and thus exhibits relatively low-level randomness even though the entire file exhibits high-level *** and DistSA use“byte frequency”and a variation of byte frequency,respectively,derived from sampled *** indicators cause less overhead than other entropy-based detection methods,as experimentally proven using realistic ransomware *** evaluate the effectiveness and feasibility of our indicators,we also employ three expensive but elaborate classification models(neural network,support vector machine and threshold-based approaches).Using these models,our experimental indicators yielded an average Fl-measure of 0.994 and an average detection rate of 99.46%for file encryption attacks by realistic ransomware samples.
The Sign Language Translation and Voice Impairment Support System (SLT-VISS) represents a groundbreaking application of deep learning methodology aimed at facilitating communication for individuals with hearing impair...
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