Download or read book Exploring the knowledge filter written by Pamela Mueller and published by . This book was released on 2005 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Penetrating the Knowledge Filter in the Rust Belt written by Zoltan J. Acs and published by . This book was released on 2009 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new model of economic growth introduces the knowledge filter between new knowledge and economically useful knowledge. It identifies both new ventures and incumbent firms as the mechanisms that penetrate the knowledge filter. Recent empirical work has shown that new firms are more proficient at penetrating the knowledge filter than are incumbent firms; however, the analysis has only examined expanding economies and has relied on purely cross-sectional regression methodologies. This study explores the role of new and incumbent firms in penetrating the knowledge filter utilizing recent developments in spatial panel estimation techniques to provide a more robust set of findings. The results suggest those new firms are more proficient at penetrating the knowledge filter in declining and growing regions alike.
Download or read book IEIS 2021 written by Menggang Li and published by Springer Nature. This book was released on 2022-01-04 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide new research methods, theories and applications from various areas of industrial economics and engineering. In detail, the included scientific papers analyse and describe communication processes in the fields of industrial economics, industrial system, industrial security and engineering and other related areas. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the IEIS 2021 conference. The book covers a great deal of research achievements in industrial restructuring strategy, industrial organization, industrial policy, departmental economic research, industrial competitiveness, regional industrial structure, national industrial economic security theory and empirical research, and it emphasizes on combining theory with practice. The book aims to discuss the issues in industrial economics and industrial security theories and practices. It is the documentation of IEIS 2021 conference, which took place at Shandong University. Due to the impact of COVID-19, it took place online as a virtual conference.
Download or read book Handbook on the Entrepreneurial University written by Alain Fayolle and published by Edward Elgar Publishing. This book was released on 2014-01-01 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This insightful Handbook offers a lens through which to view entrepreneurship strategy for higher education institutions, as it becomes increasingly necessary for universities to consider changing their strategies, culture and practices to become more entrepreneurial. Is the idea of an entrepreneurial university a myth or a reality? Is the university model capable of adapting to new evolving trends and a more complex professional world? And, what is the impact of entrepreneurship in education? Through extensive research and case studies from some of the leading entrepreneurial thinkers around the world, Alain Fayolle and Dana Redford answer these questions and raise further issues for debate. Particular focus is given to developing university strategy, public policy and start-up support as a means to foster graduate entrepreneurship. Each contribution explores different perspectives related to the entrepreneurial university concept and its role in stimulating economic growth through cooperative relationships with business and government. As a comprehensive study of the entrepreneurial university, this Handbook will prove invaluable to business and entrepreneurship students and academics, as well as university administrators, researchers and others interested in the evolution of the university.
Download or read book Efficient Learning Machines written by Mariette Awad and published by Apress. This book was released on 2015-04-27 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions. Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. Awad and Khanna explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms. Nature suggests sophisticated learning techniques that deploy simple rules to generate highly intelligent and organized behaviors with adaptive, evolutionary, and distributed properties. The authors examine the most popular biologically-inspired algorithms, together with a sample application to distributed datacenter management. They also discuss machine learning techniques for addressing problems of multi-objective optimization in which solutions in real-world systems are constrained and evaluated based on how well they perform with respect to multiple objectives in aggregate. Two chapters on support vector machines and their extensions focus on recent improvements to the classification and regression techniques at the core of machine learning.
Download or read book Autonomic and Trusted Computing written by Bing Xie and published by Springer. This book was released on 2010-10-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing systems including hardware, software, communication, and networks are becoming increasingly large and heterogeneous. In short, they have become - creasingly complex. Such complexity is getting even more critical with the ubiquitous permeation of embedded devices and other pervasive systems. To cope with the growing and ubiquitous complexity, autonomic computing (AC) focuses on self-manageable computing and communication systems that exhibit self-awareness, self-configuration, self-optimization, self-healing, self-protection and other self-* properties to the maximum extent possible without human intervention or guidance. Organic computing (OC) additionally addresses adaptability, robustness, and c- trolled emergence as well as nature-inspired concepts for self-organization. Any autonomic or organic system must be trustworthy to avoid the risk of losing control and retain confidence that the system will not fail. Trust and/or distrust relationships in the Internet and in pervasive infrastructures are key factors to enable dynamic interaction and cooperation of various users, systems, and services. Trusted/ trustworthy computing (TC) aims at making computing and communication systems––as well as services––available, predictable, traceable, controllable, asse- able, sustainable, dependable, persistent, security/privacy protectable, etc. A series of grand challenges exists to achieve practical autonomic or organic s- tems with truly trustworthy services. Started in 2005, ATC conferences have been held at Nagasaki (Japan), Vienna (Austria), Three Gorges (China), Hong Kong (China), Oslo (Norway) and Brisbane (Australia). The 2010 proceedings contain the papers presented at the 7th International Conference on Autonomic and Trusted Computing (ATC 2010), held in Xi’an, China, October 26–29, 2010.
Download or read book The New Faces of Organizations in the 21st Century written by Mohammad Ali Sarlak and published by NAISIT Publishers. This book was released on 2010 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Exploring the Knowledge Filter written by Pamela Mueller and published by . This book was released on 2005 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Filter written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-30 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Adaptive Filter A system that has a linear filter and possesses a transfer function that is controlled by variable parameters as well as a means to alter those parameters in accordance with an optimization technique is commonly referred to as an adaptive filter. The vast majority of adaptive filters are digital filters. This is due to the complexity of the optimization techniques. Some applications necessitate the utilization of adaptive filters due to the fact that some parameters of the desired processing operation are either unknown in advance or are frequently subject to change. Refining the transfer function of the closed loop adaptive filter is accomplished by the utilization of feedback in the form of an error signal. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Adaptive filter Chapter 2: Signal-to-noise ratio Chapter 3: Additive white Gaussian noise Chapter 4: Linear elasticity Chapter 5: Sliding mode control Chapter 6: Array processing Chapter 7: Autoregressive model Chapter 8: Least mean squares filter Chapter 9: Recursive least squares filter Chapter 10: ADALINE (II) Answering the public top questions about adaptive filter. (III) Real world examples for the usage of adaptive filter in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Adaptive Filter.
Download or read book Deep Learning for the Earth Sciences written by Gustau Camps-Valls and published by John Wiley & Sons. This book was released on 2021-08-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Download or read book Exploring the Digital Frontier written by Anne Woodsworth and published by Emerald Group Publishing. This book was released on 2010-12-02 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents international research and exhaustive reviews of literature on a range of issues related to the evolving digital environment. With the growing trend for digital-only access to information, this volume makes an important contribution in both highlighting problems and challenges, and pointing to pathways for future solutions.
Download or read book Mining Intelligence and Knowledge Exploration written by Rajendra Prasath and published by Springer. This book was released on 2017-04-25 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2016, held in Mexico City, Mexico, in November 2016. The 18 full papers presented were carefully reviewed and selected from 56 submissions. Accepted papers were grouped into various subtopics including information retrieval, machine learning, pattern recognition, knowledge discovery, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation, fuzzy sets, and business intelligence.
Download or read book Disruptive Technology Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-07-05 with total page 2186 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proliferation of entrepreneurship, technological and business innovations, emerging social trends and lifestyles, employment patterns, and other developments in the global context involve creative destruction that transcends geographic and political boundaries and economic sectors and industries. This creates a need for an interdisciplinary exploration of disruptive technologies, their impacts, and their implications for various stakeholders widely ranging from government agencies to major corporations to consumer groups and individuals. Disruptive Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines innovation, imitation, and creative destruction as critical factors and agents of socio-economic growth and progress in the context of emerging challenges and opportunities for business development and strategic advantage. Highlighting a range of topics such as IT innovation, business strategy, and sustainability, this multi-volume book is ideally designed for entrepreneurs, business executives, business professionals, academicians, and researchers interested in strategic decision making using innovations and competitiveness.
Download or read book Computer Vision ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-15 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Download or read book Handbook of Research on Strategic Innovation Management for Improved Competitive Advantage written by Jamil, George Leal and published by IGI Global. This book was released on 2018-04-13 with total page 921 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovation is a vital process for any business to remain competitive in this age. This progress must be coherently and optimally managed, allowing for successful improvement and future growth. The Handbook of Research on Strategic Innovation Management for Improved Competitive Advantage provides emerging research on the use of information and knowledge to promote development in various business agencies. While covering topics such as design thinking, financial analysis, and policy planning, this publication explores the wide and complex relationships that constitute strategic innovation management principals and processes. This publication is an important resource for students, professors, researchers, managers, and entrepreneurs seeking current research on the methods and tools regarding information and knowledge management for business advancement.
Download or read book The Chicago Handbook of University Technology Transfer and Academic Entrepreneurship written by Albert N. Link and published by University of Chicago Press. This book was released on 2015-03-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: As state support and federal research funding dwindle, universities are increasingly viewing their intellectual property portfolios as lucrative sources of potential revenue. Nearly all research universities now have a technology transfer office to manage their intellectual property, but many are struggling to navigate this new world of university-industry partnerships. Given the substantial investment in academic research and millions of dollars potentially at stake, identifying best practices in university technology transfer and academic entrepreneurship is of paramount importance. The Chicago Handbook of University Technology Transfer and Academic Entrepreneurship is the first definitive source to synthesize state-of-the-art research in this arena. Edited by three of the foremost experts in the field, the handbook presents evidence from entrepreneurs, administrators, regulators, and professors in numerous disciplines. Together they address the key managerial and policy implications through chapters on how to sustain successful research ventures, ways to stimulate academic entrepreneurship, maintain effective open innovation strategies, and improve the performance of university technology transfer offices. A broad and ambitious work, the handbook offers comprehensive coverage for universities of all types, allowing them to confidently handle technology commercialization and further cultivate innovation.
Download or read book FRAME FILTERING AND EDGES DETECTION USING PYTHON AND TKINTER written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2024-04-08 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first project, leveraging libraries like OpenCV, Pillow, imageio, and Matplotlib, offers a streamlined interface for analyzing RGB histograms from video files. The main window is initialized using the AnalyzeHistogramFrame class, where users interact with buttons, labels, and canvases. Upon loading a video file via the "Open Video" button, the open_video() method utilizes imageio to display the first frame in the GUI canvas. Playback controls such as "Play/Pause" and "Stop" manage the video's playback state, with the show_frame() method continuously updating the displayed frame. Users can engage with the frame by zooming with the mouse wheel or defining a region of interest (ROI) through click-and-drag actions. Upon releasing the mouse button, the analyze_histogram method extracts the ROI, displaying it alongside its RGB histogram in a separate window, courtesy of Matplotlib. The histogram analysis process involves plotting individual RGB channel histograms, combined into a unified histogram. These plots are converted into Tkinter-compatible images for seamless integration into the GUI, empowering users with a comprehensive tool for visualizing and exploring video frame data. The second project is a Python application built with Tkinter, a GUI library, to enable users to analyze RGB histograms of the filtered of cropped image of a certain frame. It combines several libraries like PIL, imageio, OpenCV, NumPy, and Matplotlib to provide a comprehensive interface and analytical capabilities. The application's structure revolves around a class named Filter_CroppedFrame, responsible for managing the GUI and functionalities. Initially, the script imports necessary libraries and defines the Filter_CroppedFrame class. This class initializes the main window, sets up attributes, and creates GUI elements such as buttons, comboboxes, and canvas for video display. Users can load video files using a file dialog, which triggers the open_video() method to load the video via imageio. Playback controls for play, pause, and stop are provided, managed by methods like play_video(), toggle_play_pause(), and stop_video(). The show_frame() method updates the displayed frame based on the playback state and zoom level. Interactive analysis is facilitated through user interactions like zooming and drawing bounding boxes, handled by methods such as on_mousewheel(), on_press(), on_drag(), and on_release(). After drawing a bounding box and releasing the mouse button, the analyze_histogram method is called to extract the cropped region, apply selected filters, and display the cropped image with its RGB histogram in a popup window. The application supports various filters like Gaussian, mean, median, bilateral, and wavelet transforms, applied via the apply_filter() method, with filter selection facilitated by GUI elements like comboboxes. The script concludes with a main function initializing the application by creating an instance of the Filter_CroppedFrame class and starting the main event loop, enabling seamless GUI responsiveness and analysis tasks execution. The third project centers around a GUI application designed to facilitate edge detection within cropped images sourced from video files. Developed using Tkinter, the application boasts an array of interactive elements such as buttons, labels, and comboboxes to enhance user experience and functionality. At its core, the Edges_CroppedFrame class governs the application's operations, initializing critical attributes and orchestrating the creation of graphical components. A key feature of the application lies in its robust handling of video files. Users can effortlessly load video files via a file dialog interface, leveraging the imageio library for efficient frame extraction. The seamless rendering of frames onto a Tkinter canvas forms the foundation of the GUI, allowing users to navigate frames, control video playback, and utilize zoom features through intuitive buttons and comboboxes. Central to the application's functionality is its capability for edge detection within defined regions of interest (ROIs) within frames. Leveraging the OpenCV library, the application seamlessly integrates various edge detection algorithms, including Canny, Sobel, Prewitt, Laplacian, Scharr, FreiChen, Roberts, Kirsch, and Robinson. Users can interactively select rectangular ROIs within frames using mouse-driven actions, with the application dynamically updating the displayed frame to showcase the selected ROI alongside its corresponding histogram. Furthermore, the application extends its utility by enabling concurrent processing of multiple videos. Users can spawn new instances of the application, facilitating comprehensive video analysis and edge detection tasks across different video files. This feature enhances versatility and scalability, catering to diverse user requirements and amplifying the application's utility for advanced video processing endeavors.
