The main objective of this book is to provide insights into recent advances in distributed intelligent circuits, systems and their applications. Distributed intelligence is the key enabler for innovations in machine-to-machine communications. The innovations are directed towards keeping existing algorithms as the base and developing new intelligent systems by employing smart technologies. Artificial intelligence (AI) and, more specifically, deep learning (DL) are receiving significant attention in assisting doctors in the detection of disease patterns without much human intervention. In agriculture, robots automate slow, repetitive and dull tasks, allowing farmers to focus more on improving overall production yields.The evolving trends point to the interface of artificial intelligence with machines being a factor in enhancing the decision-making capabilities of smart machines. This book provides relevant theoretical frameworks that include basic models, algorithms, circuit designs and the latest developments in experimental aspects in the field of distributed intelligence systems for industrial applications. The challenges encountered in the development of models for distributed intelligence systems for environmental monitoring are mitigated with artificial intelligence, machine learning and deep learning. This book identifies challenges and helps in applying solutions in the development of advanced intelligent systems for environmental monitoring.

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA. The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field. FEATURES Offers a broad introduction to the explosively growing new discipline of bioinformatics Covers theoretical topics and computational algorithms Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery Discusses implementation of algorithms in DotNet Frameworks with code Presents insights into the state of the art and recent advancements in bioinformatics The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA. The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field. FEATURES Offers a broad introduction to the explosively growing new discipline of bioinformatics Covers theoretical topics and computational algorithms Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery Discusses implementation of algorithms in DotNet Frameworks with code Presents insights into the state of the art and recent advancements in bioinformatics The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

Web browsing would not be what it is today without the use of Service-Oriented Architecture (SOA). Although much has been written about SOA methodology, this emerging platform is continuously under development. Exploring Enterprise Service Bus in the Service-Oriented Architecture Paradigm is a detailed reference source that examines current aspects and research methodologies that enable enterprise service bus to unify and connect services efficiently on a common platform. Featuring relevant topics such as SOA reference architecture, grid computing applications, complex event computing, and java business integration, this is an ideal resource for all practitioners, academicians, graduate students, and researchers interested in the discoveries on the relationship that Service-Oriented architecture and enterprise service bus share.

Most of the oral dosage forms possess several physiological limitations such as variable gastrointestinal transit because of variable gastric emptying leading to non-uniform absorption profiles, incomplete drug release and shorter residence time of the dosage form in the stomach. This leads to incomplete absorption of drugs having absorption window especially in the upper part of the small intestine, as once the drug passes down the absorption site, the remaining quantity goes unabsorbed.Since many drugs are well absorbed in the upper part of the gastrointestinal tract, such high variability may lead to non-uniform absorption and makes the bioavailability unpredictable. Hence, a beneficial delivery system to control and prolong the gastric emptying time and can deliver drugs in higher concentrations to the absorption site to show local action in the stomach requires a specialized delivery system. So the purpose of this study was to lengthen the stay of drug in its favorable absorption area and prolonging the release of the drug by formulating it into an effervescent gastro-retentive drug delivery system.

The mints, taxonomically known as Lamiaceae or Labiatae, are a family of flowering plants. Mentha spicata (Spear Mint or Spearmint) is a species of mint native to much of Europe and southwest Asia, though its exact natural range is uncertain due to extensive early cultivation. It grows in wet soils. It is an invasive species in the Great Lakes region of North America where it was first sighted in 1843, although it is grown widely across northern India.Spearmint grows well in nearly all temperate climates. Gardeners often grow it in pots or planters due to its invasive spreading roots. The plant prefers partial shade, but can flourish in full sun to mostly shade. Spearmint is best suited to loamy soils with plenty of organic material. Spearmint has also been described as having excellent antioxidant activity; its antioxidant activity was found to be comparable to the synthetic BHT. Due both to its antioxidant activity and its common use in cuisine. The leaves of Mentha spicata are also used to suppress the sprouting nature in potato crop.

Biological sequence alignment is one of the crucial tasks of computational biology, and provides base for other tasks of bioinformatics. It has been consistent effort of researchers to employ different techniques for sequence alignment so as to get better results. This book is an adaptation of the master's dissertation, which was a research initiative carried in the field of biological sequence alignment. The work was about two distinct approaches to sequence matching - Boolean algebra and Fuzzy logic - a two-valued logic and a multi-valued logic. Both the methods determine the similarity between the sequences by direct comparison method using the operations of Boolean algebra and Fuzzy logic respectively. Then on the basis of their degree of similarity, multiple DNA sequences are aligned progressively using dynamic programming to ensure optimal alignment. The methods are implemented in MATLAB(r) and tested on various sets of DNA sequences of different 'influenza A virus' types taken from NCBI bank. Three different aspects of the discussed approaches have been assessed using different data sets.