Are you ready for Vision Collision? This book is sure to help you identify the vision for this season of your life and give powerful principles to ensure that your thoughts and ideas collide together for good. Let's take this journey together: Chapter 1 What is Vision? Chapter 2 Create your Vision Board Chapter 3 Bring It Down Chapter 4 What is Collision? Chapter 5 Making the Vision Work
Since the discovery of mirror neurons, the study of human infant goal-directed actions and object manipulation has burgeoned into new and exciting research directions. A number of infant studies have begun emphasizing the social context of action to understand what infants can infer when looking at others performing goal-directed actions or manipulating objects. Others have begun addressing how looking at actions in a social context, or even simply looking at objects in the immediate environment influence the way infants learn to direct their own actions on objects. Researchers have even begun investigating what aspects of goal-directed actions and object manipulation infants imitate when such actions are being modeled by a social partner, or they have been asking which cues infants use to predict others' actions. A growing understanding of how infants learn to reach, perceive information for reaching, and attend social cues for action has become central to many recent studies. These new lines of investigation and others have benefited from the use of a broad range of new investigative techniques. Eye-tracking, brains imaging techniques and new methodologies have been used to scrutinize how infants look, process, and use information to act themselves on objects and/or the social world, and to infer, predict, and recognize goal-directed actions outcomes from others. This Frontiers Research topic brings together empirical reports, literature reviews, and theory and hypothesis papers that tap into some of these exciting developmental questions about how infants perceive, understand, and perform goal-directed actions broadly defined. The papers included either stress the neural, motor, or perceptual aspects of infants’ behavior, or any combination of those dimensions as related to the development of early cognitive understanding and performance of goal-directed actions.
Haptic interfaces are divided into two main categories: force feedback and tactile. Force feedback interfaces are used to explore and modify remote/virtual objects in three physical dimensions in applications including computer-aided design, computer-assisted surgery, and computer-aided assembly. Tactile interfaces deal with surface properties such as roughness, smoothness, and temperature. Haptic research is intrinsically multi-disciplinary, incorporating computer science/engineering, control, robotics, psychophysics, and human motor control. By extending the scope of research in haptics, advances can be achieved in existing applications such as computer-aided design (CAD), tele-surgery, rehabilitation, scientific visualization, robot-assisted surgery, authentication, and graphical user interfaces (GUI), to name a few. Advances in Haptics presents a number of recent contributions to the field of haptics. Authors from around the world present the results of their research on various issues in the field of haptics.
This book constitutes the thoroughly refereed post-conference proceedings of the 6th Pacific Rim Symposium on Image and Video Technology, PSIVT 2013, held in Guanajuato, México in October/November 2013. The total of 43 revised papers was carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on image/video processing and analysis, image/video retrieval and scene understanding, applications of image and video technology, biomedical image processing and analysis, biometrics and image forensics, computational photography and arts, computer and robot vision, pattern recognition and video surveillance.
This book provides a detailed introduction to near-sensor and in-sensor computing paradigms, their working mechanisms, development trends and future directions. The authors also provide a comprehensive review of current progress in this area, analyze existing challenges in the field, and offer possible solutions. Readers will benefit from the discussion of computing approaches that intervene in the vicinity of or inside sensory networks to help process data more efficiently, decreasing power consumption and reducing the transfer of redundant data between sensing and processing units. Provides readers with a detailed introduction to the near-sensor and in-sensor computing paradigms; Includes in-depth and comprehensive summaries of the state-of-the-art development in this field; Discusses and compares various neuromorphic sensors and neural networks: Describes integration technology for near-/in-sensor computing; Reveals the relationship between near-/in-sensor computing and other computing paradigms, such as neuromorphic computing, edge computing, intuitive computing, and in-memory computing.
The book is a collection of high-quality research papers presented at Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2023), held at Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India, during February 16–17, 2023. The book shares knowledge and results in theory, methodology, and applications of communication technology and mobile networks. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of computer networks, network protocols and wireless networks, data communication technologies, and network security.
This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019. The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - pattern recognition; intelligent security modeling; complex stochastic games; unsupervised machine learning; ANN in industry; intelligent clustering; convolutional and recurrent ANN; recommender systems; intelligent telecommunications modeling; and intelligent hybrid systems using Internet of Things. The papers are organized in the following topical sections:AI anomaly detection - active learning; autonomous vehicles - aerial vehicles; biomedical AI; classification - clustering; constraint programming - brain inspired modeling; deep learning - convolutional ANN; fuzzy modeling; learning automata - logic based reasoning; machine learning - natural language; multi agent - IoT; nature inspired flight and robot; control - machine vision; and recommendation systems.
