Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated information throughout, the new edition of this popular reference includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It introduces new concepts and frameworks that demonstrate how neural networks, support vector machines, fuzzy logic, and evolutionary algorithms can be used to address new challenges in image processing, including low-level image processing, visual content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content-based image retrieval, this book continues to provide educators, students, researchers, engineers, and technical managers in visual information processing with the up-to-date understanding required to address contemporary challenges in image content processing and analysis.
In an era where ensuring security is of utmost importance, biometric identification emerges as a fundamental aspect, capitalizing on unique biological signals that are impossible to replicate. This groundbreaking study introduces an innovative approach to authentication by harnessing photoplethysmographic (PPG) signals, which are renowned for their accessibility and cost-effectiveness. Delve into a realm where optical sensors extract PPG signals, unveiling their potential as inherently distinctive biometric traits. By drawing insights from biometric datasets of 40 subjects, this book meticulously demonstrates the effectiveness of PPG signals under controlled conditions. More than ten thousand feature sets are analyzed, revealing the superiority of the Support Vector Machine (SVM) model with an exceptional accuracy rate of 99.46%. This publication reveals the culmination of a project that revolutionizes biometric personal identification, with a specific focus on critical sectors such as banking, military, and information technology.
Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated information throughout, the new edition of this popular reference includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It introduces new concepts and frameworks that demonstrate how neural networks, support vector machines, fuzzy logic, and evolutionary algorithms can be used to address new challenges in image processing, including low-level image processing, visual content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content-based image retrieval, this book continues to provide educators, students, researchers, engineers, and technical managers in visual information processing with the up-to-date understanding required to address contemporary challenges in image content processing and analysis.
There are many books that highlight the need and importance of mission toward unreached people. Unfortunately, few of them deal with the importance of understanding the real life of unreached people and how to analyze them. This book identifies conceptual issues for the development of receptor-oriented communication strategies among young, educated, urban Hui (YEU-Hui) Muslims in China's northwestern cities in order to achieve culturally relevant churches in those areas. It is written to help not only those who are interested in the unreached, but also those who are interested in Muslim evangelism, urban sociology, biblical exegesis, contextual church planting, communication, and mission strategy. Enoch Jinsik Kim utilizes a new approach--virtual community mission for planting offline churches--that integrates the use of local church-driven Internet community, traditional media, and offline task teams from a multi-ethnic local church. While the research focuses on the Chinese Muslim context, the identification of the young, urban, and educated as a strategic group for mission can be applied in other Muslim and non-Muslim contexts. This research is useful to cross-cultural communicators, church planters, and all those interested in interpersonal relationships.
ALLOW YOUR CURIOSITY TO OPEN DOORS Solidly grounded in the three-dimensional world, challenges of life catapult a scientist mom into an inter-dimensional reality which validates itself through her physical senses and logic. Through her personal experiences, she discovers and explores... * the spiritual nature of the human being * healing and self empowerment * spirit guides and angels * science behind higher-dimensional reality * ascension 2012 from scientific and spiritual viewpoints * extraterrestrial life * secret affairs of our world * the creative power of the human consciousness and finds that there is interconnection through them all. Follow the journey through the eyes of a level-headed scientist and mother in her initial struggle to make sense of these out-of-the-ordinary topics. Spirituality, science, and the role of the human consciousness are introduced in this short account of one human experience on Earth.
Soft computing represents a collection of techniques, such as neural networks, evolutionary computation, fuzzy logic, and probabilistic reasoning. As - posed to conventional "hard" computing, these techniques tolerate impre- sion and uncertainty, similar to human beings. In the recent years, successful applications of these powerful methods have been published in many dis- plines in numerous journals, conferences, as well as the excellent books in this book series on Studies in Fuzziness and Soft Computing. This volume is dedicated to recent novel applications of soft computing in multimedia processing. The book is composed of 21 chapters written by experts in their respective fields, addressing various important and timely problems in multimedia computing such as content analysis, indexing and retrieval, recognition and compression, processing and filtering, etc. In the chapter authored by Guan, Muneesawang, Lay, Amin, and Lee, a radial basis function network with Laplacian mixture model is employed to perform image and video retrieval. D. Androutsos, P. Androutsos, Plataniotis, and Venetsanopoulos investigate color image indexing and retrieval within a small-world framework. Wu and Yap develop a framework of fuzzy relevance feedback to model the uncertainty of users' subjective perception in image retrieval.
Exploring what it means to be human through the Korean diaspora, Caroline Kim’s stories feature many voices. From a teenage girl in 1980’s America, to a boy growing up in the middle of the Korean War, to an immigrant father struggling to be closer to his adult daughter, or to a suburban housewife whose equilibrium depends upon a therapy robot, each character must face their less-than-ideal circumstances and find a way to overcome them without losing themselves. Language often acts as a barrier as characters try, fail, and momentarily succeed in connecting with each other. With humor, insight, and curiosity, Kim’s wide-ranging stories explore themes of culture, communication, travel, and family. Ultimately, what unites these characters across time and distance is their longing for human connection and a search for the place—or people—that will feel like home.
This study complements the burgeoning literature on South Korean economic development by considering it from the perspective of young female factory workers. In approaching development from this position, Kim explores the opportunity and exploitation that development has presented to female workers and humanizes the notion of the 'Korean economic miracle' by examining its impact on their lives. Kim looks at the conflicts and ambivalences of young women as they participate in the industrial work force and simultaneously grapple with defining their roles in respect to marriage and motherhood within conventional family structures. The book explores the women's individual and collective struggles to improve their positions and examines their links with other political forces within the labor movement. She analyses how female workers envision their place in society, how they cope with economic and social marginalisation in their daily lives, and how they develop strategies for a better future.
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