Personalized nutrition considers an individual's unique genetic, metabolic, and lifestyle factors to create a customized dietary plan tailored to their needs. People seeking to optimize their health and wellness t...
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Personalized nutrition considers an individual's unique genetic, metabolic, and lifestyle factors to create a customized dietary plan tailored to their needs. People seeking to optimize their health and wellness through diet and lifestyle changes can benefit from technological advances in machine learning and deep learning approaches to create personalized models of nutritional requirements that override traditional food plans. These models will provide users with an unprecedented decision tool for informing them of the impact of specific food intake and exercise on their goals. This article presents the architecture, implementation, and preliminary results of a deep learning -based control system for nutrition. It allows users to understand the impact of their food and exercise immediate choices on their goals while reducing user interaction demands. Preliminary results have shown that it is possible to predict BMI (Body Mass Index) accurately within a time window of three days.
With the continuous development of technology, the future prospects of online analysis real-time alarm systems are vast. In today's digital age, the application of page editors is becoming increasingly widespread....
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Power converter control techniques must evolve to accommodate power system complexity and renewable energy integration. Traditional control methods may be difficult to adapt to these dynamic and uncertain systems. Rei...
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Addiction to alcohol and tobacco is still a major worldwide health issue that requires innovative approaches to early detection and monitoring. This review of the literature provides a thorough summary of recent resea...
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With the increasing understanding of attackers towards the characteristics of controlsystems and the growing connectivity with information technology, security incidents targeting controlsystems are on the rise. The...
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ISBN:
(纸本)9789819980239;9789819980246
With the increasing understanding of attackers towards the characteristics of controlsystems and the growing connectivity with information technology, security incidents targeting controlsystems are on the rise. The number of vulnerabilities related to these incidents are increasing every year, making it impossible to apply timely patches for all vulnerabilities. The current common vulnerability assessment framework, which is considered the basis for vulnerability patching, has limitations in that it does not consider the weaponization after vulnerability discovery and does not adequately reflect the exploitability in real-world "in-the-wild" environments. Therefore, in this study, we propose an approach to evaluate the in-the-wild exploitability and risk of vulnerabilities occurring in controlsystems based on publicly available data. To achieve this, we define criteria for classifying attacker skill levels and improve the existing CVSS metrics by introducing new factors for evaluating exploitability and risk. By applying this evaluation approach, we can identify vulnerabilities in controlsystems that are likely to be exploited in real-world scenarios, enabling prioritized patching and proactive defense against advanced persistent threat (APT) attacks.
In this document, we present a groundbreaking concept that has the potential to revolutionize human-computer interaction: 'Hands-Free Mouse control with Facial Recognition.' Our focus is on seamlessly integrat...
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Cyberstalking has become an increasingly prevalent and concerning issue in today's digital landscape. The widespread use of online platforms and social media has made individuals more susceptible to predatory beha...
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Brain-computer interface (BCI) is an association between brain and device that helps signals from the human brain to help in controlling activity, such as automatic control of home devices, gaming, robot, or a prosthe...
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Access control is the process of protecting resources by allowing or rejecting access to particular resources. It is an integral part of physical security systems and protects resources from unauthorized use. Over the...
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This paper presents the creation of an innovative autonomous security robot designed to perform security functions with efficiency and reliability. The robot boasts mapping capabilities, which it utilizes to facilitat...
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ISBN:
(纸本)9798350330656;9798350330649
This paper presents the creation of an innovative autonomous security robot designed to perform security functions with efficiency and reliability. The robot boasts mapping capabilities, which it utilizes to facilitate autonomous patrol in designated areas. Its primary operations involve the use of computer vision to detect violence, identify weapons and dangerous items, and recognize individuals. Critical incidents are met with an immediate alarm and the subsequent transmission of data to a central security server, which then generates comprehensive reports displayed through a web application for security personnel. The application itself features remote control of the robot, incident report management, status updates, and incident analytics. The robot demonstrates substantial real-world application potential, particularly in crowded environments where it could outperform conventional surveillance. The project combines concepts of engineering, computer science, and cybersecurity, functioning per design but with considerable potential for future refinement and expansion, embodying the concept of an evolving technological solution.
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