Joydeep Dutta – författare

This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research. Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.

Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations.It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design.The book offers comprehensive coverage of related topics, including:Emergence of intelligence in wireless sensor networksTaxonomy of computational intelligenceDetailed discussion of various metaheuristic techniquesDevelopment of intelligent MAC protocolsDevelopment of intelligent routing protocolsSecurity management in WSNsThis book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications.

Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations.It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design.The book offers comprehensive coverage of related topics, including:Emergence of intelligence in wireless sensor networksTaxonomy of computational intelligenceDetailed discussion of various metaheuristic techniquesDevelopment of intelligent MAC protocolsDevelopment of intelligent routing protocolsSecurity management in WSNsThis book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications.

Biopolymer-Based Food Packaging Explore the latest developments and advancements in biopolymer-based food packaging In Biopolymer-Based Food Packaging: Innovations and Technology Applications, a team of accomplished researchers delivers a complete, systematic, and sequential account of the contemporary developments in the application of biopolymers for sustainable food packaging. This book introduces the fabrication, characterization as well as benefits arising from the enhanced functionalities of biopolymer-based food packaging materials. The authors introduce various polysaccharide, protein, and microbial polymer-based food packaging films and coatings, as well as biopolymer-based blends and nanocomposites. Importance of these materials as active and intelligent food packaging systems is also introduced. Finally, the book explores biopolymer-based edible food packaging, and its efficacy in extending the shelf-life of perishable food items using sustainable materials and processes suitable for the future of circular economies around the world. Readers will also find: A thorough introduction to the incorporation of nanomaterials as fillers to improve the physico-chemical, mechanical, thermal, barrier, optical, and antimicrobial properties of food packaging nanocompositesComprehensive discussions of the use of plant-based bioactive compounds, including essential oils, in biopolymer-based food packaging Practical examinations of silver and zinc oxide nanoparticles in food packagingIn-depth treatments of polylactic acid-based composites for food packaging applicationsBiopolymer-Based Food Packaging: Innovations and Technology Applications is an invaluable resource for academic researchers and professionals in food packaging and related industries, as well as research scholars, graduate students, and entrepreneurs working and studying in the field of food preservation, environmental safety, and human health with a focus on the sustainable future.

Optimality Conditions in Convex Optimization explores an important and central issue in the field of convex optimization: optimality conditions. It brings together the most important and recent results in this area that have been scattered in the literature—notably in the area of convex analysis—essential in developing many of the important results in this book, and not usually found in conventional texts. Unlike other books on convex optimization, which usually discuss algorithms along with some basic theory, the sole focus of this book is on fundamental and advanced convex optimization theory.Although many results presented in the book can also be proved in infinite dimensions, the authors focus on finite dimensions to allow for much deeper results and a better understanding of the structures involved in a convex optimization problem. They address semi-infinite optimization problems; approximate solution concepts of convex optimization problems; and some classes of non-convex problems which can be studied using the tools of convex analysis. They include examples wherever needed, provide details of major results, and discuss proofs of the main results.

The maturation of nanotechnology has revealed it to be a unique and distinct discipline rather than a specialization within a larger field. Its textbook cannot afford to be a chemistry, physics, or engineering text focused on nano. It must be an integrated, multidisciplinary, and specifically nano textbook. The archetype of the modern nano textbook, Introduction to Nanoscience and Nanotechnology builds a solid background in characterization and fabrication methods while integrating the physics, chemistry, and biology facets. The remainder of this color text focuses on applications, examining engineering aspects as well as nanomaterials and industry-specific applications in such areas as energy, electronics, and biotechnology.Also available in two course-specific volumes:Introduction to Nanoscience elucidates the nanoscale along with the societal impacts of nanoscience, then presents an overview of characterization and fabrication methods. The authors systematically discuss the chemistry, physics, and biology aspects of nanoscience, providing a complete picture of the challenges, opportunities, and inspirations posed by each facet before giving a brief glimpse at nanoscience in action: nanotechnology.Fundamentals of Nanotechnology surveys the field’s broad landscape, exploring the physical basics such as nanorheology, nanofluidics, and nanomechanics as well as industrial concerns such as manufacturing, reliability, and safety. The authors then explore the vast range of nanomaterials and systematically outline devices and applications in various industrial sectors. Qualifying instructors who purchase either of these volumes (or the combined set) are given online access to a wealth of instructional materials. These include detailed lecture notes, review summaries, slides, exercises, and more. The authors provide enough material for both one- and two-semester courses.

WINNER 2009 CHOICE AWARD OUTSTANDING ACADEMIC TITLE! Nanotechnology is no longer a subdiscipline of chemistry, engineering, or any other field. It represents the convergence of many fields, and therefore demands a new paradigm for teaching. This textbook is for the next generation of nanotechnologists. It surveys the field’s broad landscape, exploring the physical basics such as nanorheology, nanofluidics, and nanomechanics as well as industrial concerns such as manufacturing, reliability, and safety. The authors then explore the vast range of nanomaterials and systematically outline devices and applications in various industrial sectors. This color text is an ideal companion to Introduction to Nanoscience by the same group of esteemed authors. Both titles are also available as the single volume Introduction to Nanoscience and Nanotechnology Qualifying instructors who purchase either of these volumes (or the combined set) are given online access to a wealth of instructional materials. These include detailed lecture notes, review summaries, slides, exercises, and more. The authors provide enough material for both one- and two-semester courses.

Tomorrow’s nanoscientist will have a truly interdisciplinary and nano-centric education, rather than, for example, a degree in chemistry with a specialization in nanoscience. For this to happen, the field needs a truly focused and dedicated textbook. This full-color masterwork is such a textbook. It introduces the nanoscale along with the societal impacts of nanoscience, then presents an overview of characterization and fabrication methods. The authors systematically discuss the chemistry, physics, and biology aspects of nanoscience, providing a complete picture of the challenges, opportunities, and inspirations posed by each facet before giving a brief glimpse at nanoscience in action: nanotechnology.This book is written to provide a companion volume to Fundamentals of Nanotechnology. The two companion volumes are also available bound together in the single volume, Introduction to Nanoscience and NanotechnologyQualifying instructors who purchase either of these volumes (or the combined set) are given online access to a wealth of instructional materials. These include detailed lecture notes, review summaries, slides, exercises, and more. The authors provide enough material for both one- and two-semester courses.

Optimality Conditions in Convex Optimization explores an important and central issue in the field of convex optimization: optimality conditions. It brings together the most important and recent results in this area that have been scattered in the literature—notably in the area of convex analysis—essential in developing many of the important results in this book, and not usually found in conventional texts. Unlike other books on convex optimization, which usually discuss algorithms along with some basic theory, the sole focus of this book is on fundamental and advanced convex optimization theory.Although many results presented in the book can also be proved in infinite dimensions, the authors focus on finite dimensions to allow for much deeper results and a better understanding of the structures involved in a convex optimization problem. They address semi-infinite optimization problems; approximate solution concepts of convex optimization problems; and some classes of non-convex problems which can be studied using the tools of convex analysis. They include examples wherever needed, provide details of major results, and discuss proofs of the main results.

This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research. Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.

ThisLNCSvolumecontainsthepaperspresentedatthe8thSimulatedEvolution and Learning (SEAL 2010) Conference held during December 1-4, 2010 at the Indian Institute of Technology Kanpur in India. SEAL is a prestigious inter- tional conference series in evolutionaryoptimization and machine learning. This biennial event started in Seoul, South Korea in 1996 and was thereafter held in Canberra, Australia in 1998, Nagoya, Japan in 2000, Singapore in 2002, Busan, South Korea in 2004,Hefei, China in 2006and Melbourne, Australia in 2008. SEAL 2010 received 141 paper submissions in total from 30 countries. After a rigorous peer-review process involving 431 reviews in total (averaging a little morethan3reviewsperpaper),60full-lengthand19shortpaperswereaccepted for presentation (both oral and poster) at the conference. The full-length papers alonecorrespondtoa42. 6%acceptancerateandshortpapersaddanother13. 5%. ThepapersincludedinthisLNCSvolumecoverawiderangeoftopicsinsi- latedevolutionandlearning. Theacceptedpapershavebeenclassi?edintothef- lowingmaincategories:(a)theoreticaldevelopments,(b)evolutionaryalgorithms andapplications,(c)learningmethodologies,(d)multi-objectiveevolutionary- gorithms and applications,(e) hybrid algorithms and (f) industrial applications.The conference featured three distinguished keynote speakers. Narendra Karmarkar's talk on "Beyond Convexity: New Perspectives in Computational Optimization" focused on providing new theoretical concepts for non-convex optimization and indicated a rich connection between optimization and ma- ematical physics and also showed a deep signi?cance of advanced geometry to optimization. The advancement of optimization theory for non-convex problems is bene?cial for meta-heuristic optimization algorithms such as evolutionary - gorithms. Manindra Agrawal's talk on "PRIMES is in P" provided a mu- improved version of his celebrated and ground-breaking 2002 work on poly- mial time algorithm for testing prime numbers. The theoretical computation work presented in this keynote lecture should be motivating for the evolutionary optimization and machine learning community at large.

Nanoparticles for Gene Delivery into Stem Cells and Embryos, by Pallavi Pushp, Rajdeep Kaur, Hoon Taek Lee, Mukesh Kumar Gupta. Engineering of Polysaccharides via Nanotechnology, by Joydeep Dutta. Hydroxyapatite-Packed Chitosan-PMMA Nanocomposite: A Promising Material for Construction of Synthetic Bone, by Arundhati Bhowmick, Subhash Banerjee, Ratnesh Kumar, Patit Paban Kundu. Biodegradable Polymers for Potential Delivery Systems for Therapeutics, by Sanjeev K. Pandey, Chandana Haldar, Dinesh K. Patel, Pralay Maiti. Phytomedicine-Loaded Polymeric Nanomedicines: Potential Cancer Therapeutics, by S. Maya, M. Sabitha, Shantikumar V. Nair, R. Jayakumar. Proteins and Carbohydrates as Polymeric Nanodrug Delivery Systems: Formulation, Properties and Toxicological Evaluation, by Dhanya Narayanan, J. Gopikrishna, Shantikumar V. Nair, Deepthy Menon. Biopolymeric Micro and Nanoparticles: Preparation, Characterization and Industrial Applications, by Anil Kumar Anal, Alisha Tuladhar. Applications of Glyconanoparticles as “Sweet” Glycobiological Therapeutics and Diagnostics, by Naresh Kottari, Yoann M. Chabre, Rishi Sharma, René Roy.

Nanoparticles for Gene Delivery into Stem Cells and Embryos, by Pallavi Pushp, Rajdeep Kaur, Hoon Taek Lee, Mukesh Kumar Gupta. Engineering of Polysaccharides via Nanotechnology, by Joydeep Dutta. Hydroxyapatite-Packed Chitosan-PMMA Nanocomposite: A Promising Material for Construction of Synthetic Bone, by Arundhati Bhowmick, Subhash Banerjee, Ratnesh Kumar, Patit Paban Kundu. Biodegradable Polymers for Potential Delivery Systems for Therapeutics, by Sanjeev K. Pandey, Chandana Haldar, Dinesh K. Patel, Pralay Maiti. Phytomedicine-Loaded Polymeric Nanomedicines: Potential Cancer Therapeutics, by S. Maya, M. Sabitha, Shantikumar V. Nair, R. Jayakumar. Proteins and Carbohydrates as Polymeric Nanodrug Delivery Systems: Formulation, Properties and Toxicological Evaluation, by Dhanya Narayanan, J. Gopikrishna, Shantikumar V. Nair, Deepthy Menon. Biopolymeric Micro and Nanoparticles: Preparation, Characterization and Industrial Applications, by Anil Kumar Anal, Alisha Tuladhar. Applications of Glyconanoparticles as “Sweet” Glycobiological Therapeutics and Diagnostics, by Naresh Kottari, Yoann M. Chabre, Rishi Sharma, René Roy.

This book highlights the growing applications of THz technology and various modules used for their successful realization.

This book highlights the growing applications of THz technology and various modules used for their successful realization.