<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Books</title>
<link href="http://ir.mksu.ac.ke/handle/123456780/5963" rel="alternate"/>
<subtitle/>
<id>http://ir.mksu.ac.ke/handle/123456780/5963</id>
<updated>2026-04-09T07:26:53Z</updated>
<dc:date>2026-04-09T07:26:53Z</dc:date>
<entry>
<title>Multimedia Big Data Computing for IoT Applications</title>
<link href="http://ir.mksu.ac.ke/handle/123456780/6378" rel="alternate"/>
<author>
<name>Tanwar, Sudeep</name>
</author>
<author>
<name>Tyagi, Sudhanshu</name>
</author>
<author>
<name>Kumar, Neeraj</name>
</author>
<id>http://ir.mksu.ac.ke/handle/123456780/6378</id>
<updated>2021-07-08T10:27:10Z</updated>
<published>2020-01-01T00:00:00Z</published>
<summary type="text">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&#13;
Internet of Things (IoT), a significant amount of multimedia big data has been&#13;
generated from different devices located across the globe. Current proposals in the&#13;
literature mainly focus on scalar sensor data with less emphasis on the streaming&#13;
multimedia big data generated from different devices. This textbook examines the&#13;
unique nature and complexity of MMBD computing for IoT applications and&#13;
provides unique characteristics and applications divided into different chapters for&#13;
MMBD over IoT. A number of research challenges are associated with MMBD,&#13;
such as scalability, accessibility, reliability, heterogeneity, and quality-of-service&#13;
(QoS) requirements. This textbook is the first-ever “how-to” guide addressing one&#13;
of the most overlooked practical, methodological, and moral questions in any&#13;
nations’ journeys to handle the massive amount of multimedia big data being&#13;
generated from IoT devices’ interactions: For example, how to handle the complexity&#13;
of facilitating MMBD over IoT? How to organize the unstructured and&#13;
heterogeneous data? How to deal with cognition and understand complexity&#13;
associated with MMBD? How to address the real-time and quality-of-service&#13;
requirements for MMBD applications? How to ensure scalability and computing&#13;
efficiency.&#13;
The book is organized into four parts. Part I is focused on technological&#13;
development, which includes five chapters. Part II discussed the multimedia big&#13;
data analytics, which has five chapters. Part III illustrates the societal impact of&#13;
multimedia big data with well-structured four chapters. Finally, Part IV highlights&#13;
the application environments for multimedia big data analytics with four chapters.
</summary>
<dc:date>2020-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Structural Dynamics</title>
<link href="http://ir.mksu.ac.ke/handle/123456780/6377" rel="alternate"/>
<author>
<name>Paz, Mario</name>
</author>
<author>
<name>Kim, Young Hoon</name>
</author>
<id>http://ir.mksu.ac.ke/handle/123456780/6377</id>
<updated>2021-07-08T10:27:03Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Structural Dynamics
Paz, Mario; Kim, Young Hoon
The basic structure of the five previous editions is still maintained in this&#13;
Sixth Edition. After the release of the Fifth Edition in 2004, academic and&#13;
industrial environments have been changed, although the fundamentals have&#13;
not changed over 15 years. When the author started to teach structural&#13;
dynamics since 2011, the most challenging part as an instructor has been to&#13;
present how students can solve and simulate the structural dynamics using&#13;
the computer program. There is a limited information available to show how&#13;
we can solve structural dynamics in finite element method–based commercial&#13;
software. When understanding the background of undergraduate and&#13;
graduate students who are first exposed to structural dynamics, the&#13;
fundamentals are mainly considered as core content. The author believes&#13;
that a line-by-line computer language is a helpful learning and teaching tool&#13;
for its application of fundamentals. This is the major motivation of the&#13;
revision of this textbook.&#13;
This revised textbook intends to provide enhanced learning materials for&#13;
students to learn structural dynamics, ranging from basics to advanced topics,&#13;
including their application. When a line-by-line programming language is&#13;
included with solved problems, students can learn course materials easily and&#13;
visualize the solved problems using a program. Among several programming&#13;
languages, MATLAB® has been adopted by many academic institutions&#13;
across several disciplines. Many educators and students in the USA and&#13;
many international institutions can readily access MATLAB®, which has&#13;
an appropriate programming language to solve and simulate problems in the&#13;
textbook. It effectively allows matrix manipulations and plotting of data.&#13;
Therefore, multi-degree-of-freedom problems can be solved in conjunction&#13;
with the finite element method using MATLAB®. As of 2018, SAP2000&#13;
presented in the Fifth Edition is currently outdated, at least regarding user&#13;
interface procedure. The revision author Young Hoon Kim still believes that&#13;
SAP2000 includes routines for the analysis and design of structures with&#13;
linear or nonlinear behavior subjected to static or dynamics loads. However,&#13;
in this edition exclusion of SAP2000 is necessary to minimize the learner’s&#13;
confusion to link between contents and solving with the aid of computer&#13;
programming language. The author still believes that SAP2000 can be one of&#13;
the best tools to solve structural analysis and structural dynamics in complex&#13;
systems. Practical engineers who are eager to use commercial software can&#13;
learn from many other textbooks available in the market.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Stability and Control of Linear Systems</title>
<link href="http://ir.mksu.ac.ke/handle/123456780/6376" rel="alternate"/>
<author>
<name>Bacciotti, Andrea</name>
</author>
<id>http://ir.mksu.ac.ke/handle/123456780/6376</id>
<updated>2021-07-08T09:43:49Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Stability and Control of Linear Systems
Bacciotti, Andrea
This book is the natural outcome of a course I taught for many years at the&#13;
Technical University of Torino, first for students enrolled in the aerospace engineering&#13;
curriculum, and later for students enrolled in the applied mathematics&#13;
curriculum. The aim of the course was to provide an introduction to the main&#13;
notions of system theory and automatic control, with a rigorous theoretical&#13;
framework and a solid mathematical background.&#13;
Throughout the book, the reference model is a finite-dimensional, time-invariant,&#13;
multivariable linear system. The exposition is basically concerned with the&#13;
time-domain approach, but also the frequency-domain approach is taken into&#13;
consideration. In fact, the relationship between the two approaches is discussed,&#13;
especially for the case of single-input–single-output systems. Of course, there are&#13;
many other excellent handbooks on the same subject (just to quote a few of them,&#13;
[3, 6, 8, 11, 14, 23, 25, 27, 28, 32]). The distinguishing feature of the present book&#13;
is the treatment of some specific topics which are rare to find elsewhere at a&#13;
graduate level. For instance, bounded-input–bounded-output stability (including a&#13;
characterization in terms of canonical decompositions), static output feedback&#13;
stabilization (for which a simple criterion in terms of generalized inverse matrices is&#13;
proposed), controllability under constrained controls.&#13;
The mathematical theories of stability and controllability of linear systems are&#13;
essentially based on linear algebra, and it has reached today a high level of&#13;
advancement. During the last three decades of the past century, a great effort was&#13;
done, in order to develop an analogous theory for nonlinear systems, based on&#13;
differential geometry (see [7] for a historical overview). For this development,&#13;
usually referred to as geometric control theory, we have today a rich literature ([2,&#13;
5, 13, 18–20, 26, 30]). However, I believe that the starting point for a successful&#13;
approach to nonlinear systems is a wide and deep knowledge of the linear case. For&#13;
this reason, while this book is limited to the linear context, in the presentation and&#13;
organization of the material, as well as in the selection of topics, the final goal I had&#13;
in mind is to prepare the reader for such a nonlinear extension.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>School Leadership and Educational Change in Singapore</title>
<link href="http://ir.mksu.ac.ke/handle/123456780/6375" rel="alternate"/>
<author>
<name>Wong, Benjamin</name>
</author>
<author>
<name>Hairon, Salleh</name>
</author>
<author>
<name>Ng, Pak Tee</name>
</author>
<id>http://ir.mksu.ac.ke/handle/123456780/6375</id>
<updated>2021-07-08T10:19:26Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">School Leadership and Educational Change in Singapore
Wong, Benjamin; Hairon, Salleh; Ng, Pak Tee
There is great interest internationally to understand the success of the Singapore&#13;
education system in the light of its strong and consistent results in international&#13;
tests, such as PISA, TIMSS and PIRLS. Singapore ranks consistently among the top&#13;
few countries for Reading, Mathematics and Science (OECD 2014). Interestingly,&#13;
while some might have previously attributed the good results to rote learning and&#13;
memorisation, the results of PISA 2012 have offered a different complexion to the&#13;
issue. When students were assessed on twenty-first-century skills such as&#13;
problem-solving and flexibility in thinking, Singapore once again performed well&#13;
(MOE 2014).&#13;
Notwithstanding its success, the Singapore education system is changing to help&#13;
prepare its students for the more complex and demanding socio-economic environment&#13;
of the twenty-first century. It continuously evolves to ensure that their&#13;
students are well placed and well prepared to meet the emerging demands of a&#13;
knowledge-driven global economy (MOE 2010; 2013). Under the 1997 umbrella&#13;
vision of Thinking Schools, Learning Nation (TSLN), many initiatives were subsequently&#13;
launched. These included National Education (NE), a four-phased ICT&#13;
Masterplan and the Teach Less Learn More (TLLM) reform. These, and many other&#13;
initiatives, reflected the system’s transformation to shift the focus of learning from&#13;
quantity to quality (Ng 2008).&#13;
Today, the Singapore education system continues its evolutionary path of&#13;
change by adopting a student-centric, value-driven education paradigm. It aspires to&#13;
achieve (Heng 2012a):
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
</feed>
