STTS: Think Smart, Work Smarter
STTS: Think Smart, Work Smarter

Author: Tremaine du Preez

Publisher: Marshall Cavendish International Asia Pte Ltd

Published: 2011-07-15

Total Pages: 214

ISBN-13: 9814346705

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Your mind produces up to 70,000 thoughts a day—most of which are responsible for the decisions that you make. These decisions also determine your success both professionally and personally. However, we are taught what to think and not how to think. Information overload, short time frames and past failures can make even simple decisions and problems daunting. Do you lack confidence in your problem solving ability? Do you feel anxious when faced with a tough decision, or overwhelmed by lots of alternatives? Do you wish there was a formula for getting everything right? Executive coach and educator, Tremaine du Preez, fills this book with practical tools and effective techniques, all presented in a clear and practical manner. Making the right decision will be a breeze and no problem will be too difficult to handle when you are armed with these new and proven strategies.

The Smart Solution Book
The Smart Solution Book

Author: David Cotton

Publisher:

Published: 2016

Total Pages: 192

ISBN-13:

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THE MOST COMPREHENSIVE COLLECTION OF PROBLEM-SOLVING TOOLS, GAMES AND TECHNIQUES USED BY BRAINSTORMERS, GAMECHANGERS AND TRAILBLAZERS. As working life becomes more complex, we are increasingly faced with problems which may at first seem insoluble. The Smart Solution Book is your guide to solving these problems, whatever their size.

Smart Problem Solving
Smart Problem Solving

Author: Prateek Vasisht

Publisher:

Published: 2021-04-20

Total Pages: 106

ISBN-13:

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Transforming an organization, fixing equipment, or weeding the garden: problem solving is a part of our lives. Beyond their peculiarities, all problems have the same underlying characteristics. Like a master key then, a fundamental method can be used to unlock problems of any type. Using an intuitive question-based style, SMART PROBLEM SOLVING presents this method in a distilled and authentic manner. Featuring a holistic methodology, a step-wise process and practical resources, this book provides the complete blueprint for anyone wanting to become a better problem solver on a consistent basis. A practical book that readers can use in everyday situations to help solve problems efficiently and effectively.

A Simple Book for Smart People: a Simple Guide for Smart People
A Simple Book for Smart People: a Simple Guide for Smart People

Author: Declan Woodward

Publisher: CreateSpace

Published: 2014-11-23

Total Pages: 68

ISBN-13: 9781503353831

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Problem solving consists of using generic or ad hoc methods, in an orderly manner, for finding solutions to problems. Some of the problem-solving techniques developed and used in artificial intelligence, computer science, engineering, mathematics, medicine, etc. are related to mental problem-solving techniques studied in psychology. The term problem-solving is used in many disciplines, sometimes with different perspectives, and often with different terminologies. For instance, it is a mental process in psychology and a computerized process in computer science. Problems can also be classified into two different types (ill-defined and well-defined) from which appropriate solutions are to be made. Ill-defined problems are those that do not have clear goals, solution paths, or expected solution. Well-defined problems have specific goals, clearly defined solution paths, and clear expected solutions. These problems also allow for more initial planning than ill-defined problems. Being able to solve problems sometimes involves dealing with pragmatics (logic) and semantics (interpretation of the problem). The ability to understand what the goal of the problem is and what rules could be applied represent the key to solving the problem. Sometimes the problem requires some abstract thinking and coming up with a creative solution.

Mathematical Models and Methods for Smart Material
Mathematical Models and Methods for Smart Material

Author: Mauro Fabrizio

Publisher: World Scientific

Published: 2002

Total Pages: 404

ISBN-13: 9789812776273

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This book contains the papers presented at the conference on OC Mathematical Models and Methods for Smart MaterialsOCO, held in Italy in 2001. The papers are divided into four parts: OCOMethods in Materials ScienceOCO deals mainly with mathematical techniques for the investigation of physical systems, such as liquid crystals, materials with internal variables, amorphous materials, and thermoelastic materials. Also, techniques are exhibited for the analysis of stability and controllability of classical models of continuum mechanics and of dynamical systems.OCOModelling of Smart MaterialsOCO is devoted to models of superfluids, superconductors, materials with memory, nonlinear elastic solids, and damaged materials. In the elaboration of the models, thermodynamic aspects play a central role in the characterization of the constitutive properties.OCOWell-Posedness in Materials with MemoryOCO deals with existence, uniqueness and stability for the solution of problems, most often expressed by integrodifferential equations, which involve materials with fading memory. Also, attention is given to exponential decay in viscoelasticity, inverse problems in heat conduction with memory, and automatic control for parabolic equations.OCOAnalytic Problems in Phase TransitionsOCO discusses nonlinear partial differential equations associated with phase transitions, and hysteresis, possibly involving fading memory effects. Particular applications are developed for the phase-field model with memory, the Stefan problem with a Cattaneo-type equation, the hysteresis in thermo-visco-plasticity, and the solid-solid phase transition."

Data Analytics for Smart Cities
Data Analytics for Smart Cities

Author: Amir Alavi

Publisher: CRC Press

Published: 2018-10-26

Total Pages: 228

ISBN-13: 042978662X

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The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.