Today's customer-oriented operational philosophy has forced organizations to face the challenge of transforming into digital businesses to meet growing customer demand. The reality is that power is shifting from institutions to customers, so it's up to providers to master both customer experience and digital operational excellence. However, despite this turn toward digitalization, many businesses struggle to manage their technology base strategically. Disruptive Innovation and Emerging Technologies for Business Excellence in the Service Sector provides an in-depth exploration of options that can assist organizations in developing a consistent and coherent view of various drivers in order to shape their markets and operations as well as how disruptive innovations and emerging technologies can contribute to businesses now and in the future. Covering a wide range of topics such as sustainable transportation and customer service experiences, it is ideal for industry professionals, researchers, academicians, instructors, decision makers, and students.

The book presents a unique overview of recent as well as traditional image enhancement methods. We have demonstrated practical examples of frequency domain image enhancement techniques. Most of the book is related to 2D images but generalization to 3D is also shown in most cases. Automatic object recognition has become an established discipline inside image analysis. Moments and moment invariants play a very important role as features in invariant recognition. Our main purpose in writing this book was to bridge this gap between theoretical concepts and practical implementations of image enhancement techniques. In this book, the reader finds both a survey of all important theoretical results as well as a description of how to use them in various image processing applications. The target readership of the book is academic researchers and R&D engineers from all application areas who need to work with 2D images extracted from binary/gray level/color images. The book is also intended for university lecturers and graduate students of image analysis and pattern recognition.

The status of a woman from the level of menstrual cycle to the various stages of pregnancy can be studied using various phonetic parameters. Simultaneous use of behavioural characteristic of amplitude, frequency, time duration, energy can pinpoint the status of a pregnant woman as well as the status of foetus including the delivery time and regarding the original condition, i.e. non-pregnant level. The proposed phonetic technique is comparable with other medical technique like pathological testing / C T Scan / X-ray etc.The conventional medical techniques are costlier as well as inconvenient to use and may have adverse effect on growth of foetu