http://ir.mksu.ac.ke/handle/123456780/5972 2026-04-04T11:05:19Z 2026-04-04T11:05:19Z Tanwar, Sudeep Tyagi, Sudhanshu Kumar, Neeraj http://ir.mksu.ac.ke/handle/123456780/6378 2021-07-08T10:27:10Z 2020-01-01T00:00:00Z

Multimedia Big Data Computing for IoT Applications Tanwar, Sudeep; Tyagi, Sudhanshu; Kumar, Neeraj With an exponential increase in the provisioning of multimedia devices over the Internet of Things (IoT), a significant amount of multimedia big data has been generated from different devices located across the globe. Current proposals in the literature mainly focus on scalar sensor data with less emphasis on the streaming multimedia big data generated from different devices. This textbook examines the unique nature and complexity of MMBD computing for IoT applications and provides unique characteristics and applications divided into different chapters for MMBD over IoT. A number of research challenges are associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and quality-of-service (QoS) requirements. This textbook is the first-ever “how-to” guide addressing one of the most overlooked practical, methodological, and moral questions in any nations’ journeys to handle the massive amount of multimedia big data being generated from IoT devices’ interactions: For example, how to handle the complexity of facilitating MMBD over IoT? How to organize the unstructured and heterogeneous data? How to deal with cognition and understand complexity associated with MMBD? How to address the real-time and quality-of-service requirements for MMBD applications? How to ensure scalability and computing efficiency. The book is organized into four parts. Part I is focused on technological development, which includes five chapters. Part II discussed the multimedia big data analytics, which has five chapters. Part III illustrates the societal impact of multimedia big data with well-structured four chapters. Finally, Part IV highlights the application environments for multimedia big data analytics with four chapters.

2020-01-01T00:00:00Z Bacciotti, Andrea http://ir.mksu.ac.ke/handle/123456780/6376 2021-07-08T09:43:49Z 2019-01-01T00:00:00Z

Stability and Control of Linear Systems Bacciotti, Andrea This book is the natural outcome of a course I taught for many years at the Technical University of Torino, first for students enrolled in the aerospace engineering curriculum, and later for students enrolled in the applied mathematics curriculum. The aim of the course was to provide an introduction to the main notions of system theory and automatic control, with a rigorous theoretical framework and a solid mathematical background. Throughout the book, the reference model is a finite-dimensional, time-invariant, multivariable linear system. The exposition is basically concerned with the time-domain approach, but also the frequency-domain approach is taken into consideration. In fact, the relationship between the two approaches is discussed, especially for the case of single-input–single-output systems. Of course, there are many other excellent handbooks on the same subject (just to quote a few of them, [3, 6, 8, 11, 14, 23, 25, 27, 28, 32]). The distinguishing feature of the present book is the treatment of some specific topics which are rare to find elsewhere at a graduate level. For instance, bounded-input–bounded-output stability (including a characterization in terms of canonical decompositions), static output feedback stabilization (for which a simple criterion in terms of generalized inverse matrices is proposed), controllability under constrained controls. The mathematical theories of stability and controllability of linear systems are essentially based on linear algebra, and it has reached today a high level of advancement. During the last three decades of the past century, a great effort was done, in order to develop an analogous theory for nonlinear systems, based on differential geometry (see [7] for a historical overview). For this development, usually referred to as geometric control theory, we have today a rich literature ([2, 5, 13, 18–20, 26, 30]). However, I believe that the starting point for a successful approach to nonlinear systems is a wide and deep knowledge of the linear case. For this reason, while this book is limited to the linear context, in the presentation and organization of the material, as well as in the selection of topics, the final goal I had in mind is to prepare the reader for such a nonlinear extension.

2019-01-01T00:00:00Z Handel, Stephen http://ir.mksu.ac.ke/handle/123456780/6373 2021-07-08T10:26:10Z 2019-01-01T00:00:00Z

Perceptual Organization Handel, Stephen The goal here is to describe some of the processes underlying how the auditory, tactual and visual modalities and their combinations convert sensory inputs into two- and three-dimensional objects. Those processes are a mixed bag: some depend on cells tuned to various sensory properties, some depend on rhythmic firing in the nervous system, some depend on our knowledge about the environment and some depend on our expectancies about future events. Those processes are interlocked and interactive, and it amazing to me that those objects emerge so quickly and seamlessly. We can take a stab at understanding how these processes create our perceptual world, but a full understanding is in the future. In writing this book, I have come to appreciate the contribution of Gunnar Johansson and how his notion of vector analysis can be applied to wide variety of perceptual problems. His initial research was based on movies of black-suited dancers with lights on their arm and leg joints. People were able to describe various actions of the dancers using only the trajectories of the lights placed on those joints. This outcome was surprising because the lights were unconnected, and people needed to track the relationships among individual lights to perceive among the dancers actions. The movies are captivating, but for me, the importance of Johansson’s research lies in the conceptualization that there are levels of temporal and spatial structure so that the interpretation of any level depends on interpretation of all the other levels. The motion of faster lights on the hands are not perceived as if they were in isolation, they are perceived in relation to the movement of the slower lights on the body. The vector analysis provides a way to understand how the motion of the faster lights is split into that part common to the slower lights plus that part which is unique.

2019-01-01T00:00:00Z Rayes, Ammar Salam, Samer http://ir.mksu.ac.ke/handle/123456780/6370 2021-07-08T10:25:54Z 2019-01-01T00:00:00Z

Internet of Things From Hype to Reality Rayes, Ammar; Salam, Samer Technology is becoming embedded in nearly everything in our lives. Just look around you and you will see how the Internet has affected many aspects of our existence. Virtually anything you desire can be ordered instantly, at a push of a button, and delivered to your door in a matter of days if not hours. We all see the impact of smart phones, smart appliances, and smart cars to cite a few. Today, manufacturers are installing tiny sensors in effectively every device they make and utilizing the Internet and cloud computing to connect such devices to data centers capturing critical information. By connecting things with cloud technology and leveraging mobility, desired data is captured and shared at any location and any time. The data is then analyzed to provide businesses and consumers with value that was unattainable just a decade or less ago. Up to the minute information is provided about the states and locations of services. Further, businesses use the sensors to collect mission-critical data throughout their entire business process, allowing them to gain real-time visibility into the location, motion and state of assets, people, and transactions and enabling them to make smarter decisions. As more objects become embedded with sensors and the ability to communicate, new business models become possible across the industry. These models offer to improve business processes, reduce costs and risks, and more importantly create huge business opportunities in a way that changes the face and the pace of business. Experts agree that the Internet of Things will revolutionize businesses beyond recognition in the decades to come.

2019-01-01T00:00:00Z