K. Sridharan – författare

Spectral Methods in Transition Metal Complexes provides a conceptual understanding on how to interpret the optical UV-vis, vibrational EPR, and NMR spectroscopy of transition metal complexes.

Metal complexes have broad applications across chemistry in the areas of drug discovery, such as anticancer drugs, sensors, special materials for specific requirements, and catalysis, so a thorough knowledge in preparation and characterization of metal complexes, while niche, is critical.

Accessible to both the seasoned researcher and the graduate student alike, this book provides readers with a single source of content that addresses spectral methods in transition metal complexes.

This research monograph focuses on the design of arithmetic circuits in Quantum Dot Cellular Automata (QCA). Using the fact that the 3-input majority gate is a primitive in QCA, the book sets out to discover hitherto unknown properties of majority logic in the context of arithmetic circuit designs.

The pursuit for efficient adders in QCA takes two forms. One involves application of the new results in majority logic to existing adders. The second involves development of a custom adder for QCA technology. A QCA adder named as hybrid adder is proposed and it is shown that it outperforms existing multi-bit adders with respect to area and delay. The work is extended to the design of a low-complexity multiplier for signed numbers in QCA. Furthermore the book explores two aspects unique to QCA technology, namely thermal robustness and the role of interconnects.

In addition, the book introduces the reader to QCA layout design and simulation using QCADesigner.

Features & Benefits:

This research-based book:

·Introduces the reader to Quantum Dot Cellular Automata, an emerging nanotechnology.

·Explores properties of majority logic.

·Demonstrates application of the properties to design efficient arithmetic circuits.

·Guides the reader towards layout design and simulation in QCADesigner.

Much of the research effort in mobile robots in the recent past has been on sensing and design of time-efficient algorithms for tasks such as localization, mapping and navigation. Mobile robots typically employ an embedded computer for high level computations. As applications of robots expand, there is a need to investigate architecturally efficient choices for this embedded computing platform. In particular, it is valuable to process data to obtain time, space and energy-efficient solutions for various robotic tasks.

This book presents hardware-efficient algorithms and FPGA implementations for two robotic tasks, namely exploration and landmark determination. The work identifies scenarios for mobile robotics where parallel processing and selective shutdown offered by FPGAs are invaluable. The book proceeds to systematically develop memory-driven VLSI architectures for both the tasks. The architectures are ported to a low-cost FPGA with a fairly small number of system gates. A robot fabricated with this FPGA on-board serves to validate the efficacy of the approach. Numerous experiments with the robot are reported.