The Future University (FU), formerly known as Computer Man College (CMC), is the first specialized Information and communications technology university in Sudan. Since its establishment in 1991 as Computer Man College, it was considered the first college to introduce an Information Technology program in the region; and within the country, it was the first to introduce a Computer Engineering program and the second to introduce the Telecommunication Engineering and Architecture & Design programs.
With the advent of new technologies in the software world it has become important to keep software web application secure from the threats and make it user friendly. The rapid rise of Web-based E-commerce applications has led to a plethora of design and development tools designed to minimize the time to market for many e-business applications. The importance of web based applications is visible to every eye in this world. All this is due to the inherent backbone of compatibility of cross platform.
This book covers some of the tools and techniques used for building IOT applications using Cloud computing Tools. This book gives an insight into the overview of some open source tools that are used for building IoT systems. It gives an overview of Smart City applications and IOT protocols. The book is used for comprehensive study of IOT under Cloud environment. This is a useful guide for Undergraduate course in CS/IT.
The automation of manual activities was a long-time imagination of human beings. With the development of computers, this dream is coming to be realized. Over the past 50 years, many researches are conducted to develop machines and software that help and sometimes replace human beings. Optical Character Recognition(OCR) is one of the most successful applications of technology in the field of pattern recognition and artificial intelligence. OCR systems take scanned images of paper documents as input, and automatically convert them into digital format for computer-aided data processing. In the first part of this book, the definition, architecture, benefits, applications and issues of developing of OCR systems are covered. A total of fifteen researches are reviewed and a summary of the identified problems, objective of the study, methods, techniques and algorithms applied or innovated, scope and limitation, performance evaluation as well as the future research direction pointed by all researches are presented in an interesting manner. Finally conclusion and recommendations with references to reviewed literatures are presented.
This volume aims to stimulate discussions on research involving the use of data and digital images as an understanding approach for analysis and visualization of phenomena and experiments. The emphasis is put not only on graphically representing data as a way of increasing its visual analysis, but also on the imaging systems which contribute greatly to the comprehension of real cases. Scientific Visualization and Imaging Systems encompass multidisciplinary areas, with applications in many knowledge fields such as Engineering, Medicine, Material Science, Physics, Geology, Geographic Information Systems, among others. This book is a selection of 13 revised and extended research papers presented in the International Conference on Advanced Computational Engineering and Experimenting -ACE-X conferences 2010 (Paris), 2011 (Algarve), 2012 (Istanbul) and 2013 (Madrid). The examples were particularly chosen from materials research, medical applications, general concepts applied in simulations and image analysis and other interesting related problems.
This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics.
Dynamic Time Warping (DTW) is a well-known technique used to determine alignment between two temporal sequences. DTW has been used in wide range of applications and it can be applied on any data which can be represented as linear sequence. Existing DTW libraries have out dated implementation of core DTW algorithm, which result in low performance or are inapplicable for big sequences. The aim of this book is to present, detailed concept of DTW along with a comprehensive DTW library, encapsulating the implementation of DTW variants with recently proposed efficient algorithms. Further down the road, in this book I presented a python module for computing and visualizing DTW alignment: DTWPy. DTWPy has implementation of classical DTW and recently proposed performance efficient algorithms i.e. fastDTW and DDTW. Correctness of the algorithms is verified by comparing it with existing R implementation. This book gives the basic idea to the readers about what DTW is and DTWPy have the most comprehensive implementation of DTW algorithms present in literature to date, and is applicable on large temporal sequence.
This book reflects the tremendous changes in the telecommunications industry in the course of the past few decades - shorter innovation cycles, stiffer competition and new communication products. It analyzes the transformation of processes, applications and network technologies that are now expected to take place under enormous time pressure. The International Telecommunication Union (ITU) and the TM Forum have provided reference solutions that are broadly recognized and used throughout the value chain of the telecommunications industry, and which can be considered the de facto standard. The book describes how these reference solutions can be used in a practical context: it presents the latest insights into their development, highlights lessons learned from numerous international projects and combines them with well-founded research results in enterprise architecture management and reference modeling. The complete architectural transformation is explained, from the planning and set-up stage to the implementation. Featuring a wealth of examples and illustrations, the book offers a valuable resource for telecommunication professionals, enterprise architects and project managers alike.
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.