To detect and analyze malicious traffic accurately, a malicious traffic detection system is implemented by using machine learning algorithms and visualization methods. The system is divided into three modules: the tra...
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Outlier detection is a fundamental data analytics technique often used for many security applications. Numerous outlier detection techniques exist, and in most cases are used to directly identify outliers without any ...
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ISBN:
(纸本)9781665474085
Outlier detection is a fundamental data analytics technique often used for many security applications. Numerous outlier detection techniques exist, and in most cases are used to directly identify outliers without any interaction. Typically the underlying data used is often high dimensional and complex. Even though outliers may be identified, since humans can easily grasp low dimensional spaces, it is difficult for a security expert to understand/visualize why a particular event or record has been identified as an outlier. In this paper we study the extent to which outlier detection techniques work in smaller dimensions and how well dimensional reduction techniques still enable accurate detection of outliers. This can help us to understand the extent to which data can be visualized while still retaining the intrinsic outlyingness of the outliers.
Quantum education has been increasingly emphasized at both the post-secondary and secondary education stages, in line with the advent of the quantum computing paradigm. Traditional quantum computing education, however...
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ISBN:
(数字)9798331541378
ISBN:
(纸本)9798331541385
Quantum education has been increasingly emphasized at both the post-secondary and secondary education stages, in line with the advent of the quantum computing paradigm. Traditional quantum computing education, however, necessitates an extensive background in physics, mathematics, and information science, which can be challenging for beginners. This study presents the experience of implementing a college curriculum at National Chi Nan University in Taiwan, designed to enable learners at all levels to grasp the concept of a quantum algorithm using accessible math yet rigorous enough for verification. The study succinctly conveys the concept of the quantum Grover algorithm, provides necessary background knowledge, and elucidates the ideas using three distinct visualization methods. Furthermore, this study offers a novel presentation for aligning the results of geometrical representation with the corresponding quantum circuit layout. The hands-on project demonstration motivates learners to explore solutions using their visualization tool, enhancing their engagement and sense of achievement. Developing these tools deepens learners' understanding and promotes active peer education, thereby improving their participation and retention of quantum knowledge. The visualization tools developed through this process serve as a valuable contribution to quantum education, offering an effective quantum tool and a user-friendly interface for learning, teaching, researching, and providing fresh insights and perspectives. By making quantum computing concepts more understandable through accessible math and visualization, we aim to lower the entry-level barrier to learning quantum computing, encouraging more talents to engage in quantum computing for their research studies.
The population of the world is growing older, while the shortage of required health care workers is growing increasingly severe. To combat this situation and support the independence and autonomy of older adults while...
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ISBN:
(纸本)9781665479660
The population of the world is growing older, while the shortage of required health care workers is growing increasingly severe. To combat this situation and support the independence and autonomy of older adults while reducing the burden of their caregivers, we propose a health monitoring system to assess and monitor subjective and objective health data. The system includes a conversational AI integrated into a social robot, various connected health devices, and a mobile and web app to visualize all acquired data. We formulated system requirements based on expert interviews with health care workers and literature findings. In this paper, we present the resulting system architecture integrating all health monitoring components using individual microservices, along with an app designed for our target group of older adults and their caregivers. Our goal with the proposed system is to support older adults in taking charge of their own health, thus promoting healthy and positive aging.
Nowadays, many commodities are being sold across restaurants. Many commodities would earn profit to the seller on the other hand some may provide loss. Predicting the price of a commodity leads to success in terms of ...
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In order to effectively analyze and utilize a large number of maternal health care diagnosis and treatment guidelines, electronic medical records and clinical data, and promote the sharing and reuse of knowledge and e...
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LayOut Loud is an AI-powered augmented reality (AR) and mobile application designed to revolutionize room interior design by offering tailored, real-time solutions for layout optimization. The primary objective of thi...
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Changes in epidermal thickness are linked to various skin diseases, such as diabetic foot. Optical Coherence Tomography (OCT), a noninvasive imaging technology, enables detailed visualization of skin layers. This stud...
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ISBN:
(数字)9798331521165
ISBN:
(纸本)9798331521172
Changes in epidermal thickness are linked to various skin diseases, such as diabetic foot. Optical Coherence Tomography (OCT), a noninvasive imaging technology, enables detailed visualization of skin layers. This study employed a deep learning approach using the U-Net architecture to analyze OCT images, specifically focusing on the stratum corneum (SC) and epidermis (ED) layers. Utilizing a dataset of 10,000 images, the U-Net model achieved 92 % accuracy in predicting SC and 95% accuracy for ED. These results highlight the potential of this method for accurate 3D visualization of SC and ED layers, paving the way for precise assessment of skin layer thickness and its changes in medical applications.
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