This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by briefly describing those who would most benefit from healthcare supervision. The book then summarizes possible scenarios for monitoring an older patient at home, deriving the common functional requirements for monitoring technology. Next, the work identifies the state of the art of technological monitoring approaches that are practically applicable to geriatric patients. A survey is presented on a range of such interdisciplinary fields as smart...
This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by br...
This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area.
This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics o...
This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users' behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users' behaviors, user interest drift over geographical regions, data...
This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It be...
This work presents link prediction similarity measures for social networks that exploit the degree distribution of the networks. In the context of link prediction in dense networks, the text proposes similarity measures based on Markov inequality degree thresholding (MIDTs), which only consider nodes whose degree is above a threshold for a possible link. Also presented are similarity measures based on cliques (CNC, AAC, RAC), which assign extra weight between nodes sharing a greater number of cliques. Additionally, a locally adaptive (LA) similarity measure is proposed that assigns...
This work presents link prediction similarity measures for social networks that exploit the degree distribution of the networks. In the context of ...
In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional resource and a good visualization tool for traffic operators, managers, and analysts to monitor the congestion, and analyze incidents and signal performance measures. The applications offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of...
In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develo...
Homomorphic signature schemes are an important primitive for many applications and since their introduction numerous solutions have been presented. First, the general framework where homomorphic signatures are defined is described and it is shown how the currently available types of homomorphic signatures can then be derived from such a framework.
Homomorphic signature schemes are an important primitive for many applications and since their introduction numerous solutions have been presented. Fi...
This book details how research and development in art and design can be formulated, progressed, measured, and reviewed. It explores the challenges of interdisciplinary research and highlights its importance and significance for the future of research in art and design and its relationship to science and technology.
The author looks at how creative processes and ideas are devised and how technology and its applications are changing these processes and the way in which research is developed and advanced. The use of digital environments in art and design, and the application of new...
This book details how research and development in art and design can be formulated, progressed, measured, and reviewed. It explores the challenges of ...
This book describes the design, development, and testing of a novel digital watermarking technique for color images using Magic Square and Ridgelet transforms. The novel feature of the method is that it generates and uses multiple copies of the digital watermark. The book describes how the method was tested for embedding digital watermarks into color cover images, resulting in very high PSNR value and yielding comparable results with existing watermarking techniques.To reach this new method, eight different techniques are designed, developed and tested. First, the authors test two digital...
This book describes the design, development, and testing of a novel digital watermarking technique for color images using Magic Square and Ridgelet tr...
This book provides a concise study of eye gaze tracking as a direct controller of electronic displays and interfaces inside cars and other vehicles. The author explores the prospect of controlling a vehicle's internal system via the drivers' eye gaze and for the vehicles to analyse and respond to a drivers' change in cognitive load too.
New algorithms tackling micro-saccadic eye movements and the inaccuracy in eye gaze tracking for controlling on-screen pointers are presented and explored. Multimodal fusion algorithms involving eye gaze and finger tracking systems are presented and...
This book provides a concise study of eye gaze tracking as a direct controller of electronic displays and interfaces inside cars and other vehicles. T...
This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the...
This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealin...
