Narayan Panigrahi – författare

Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data.Computing in Geographic Information Systemsconsiders the computational aspects, and helps students understand the mathematical principles of GIS. It provides a deeper understanding of the algorithms and mathematical methods inherent in the process of designing and developing GIS functions. It examines the associated scientific computations along with the applications of computational geometry, differential geometry, and affine geometry in processing spatial data. It also covers the mathematical aspects of geodesy, cartography, map projection, spatial interpolation, spatial statistics, and coordinate transformation. The book discusses the principles of bathymetry and generation of electronic navigation charts.The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon.Examines cartographic modeling and map

Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data.

Key Features:

Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics

Covers the detailed classification of different types of EEG signals with respect to their physical characteristics

Explains detection and diagnosis of epileptic seizures from the EEG data of a subject

Reviews the design and development of a low-cost and robust EEG acquisition system

Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG data

This book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.

Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data.

Key Features:

Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics

Covers the detailed classification of different types of EEG signals with respect to their physical characteristics

Explains detection and diagnosis of epileptic seizures from the EEG data of a subject

Reviews the design and development of a low-cost and robust EEG acquisition system

Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG data

This book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.

Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data.Key Features: Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics Covers the detailed classification of different types of EEG signals with respect to their physical characteristics Explains detection and diagnosis of epileptic seizures from the EEG data of a subject Reviews the design and development of a low-cost and robust EEG acquisition system Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG dataThis book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.

Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data.Key Features: Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics Covers the detailed classification of different types of EEG signals with respect to their physical characteristics Explains detection and diagnosis of epileptic seizures from the EEG data of a subject Reviews the design and development of a low-cost and robust EEG acquisition system Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG dataThis book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.

This book explains unmanned systems including Unmanned Aerial Vehicles (UAVs), Autonomous Underwater Vehicles (AUVs) and Unmanned Ground Vehicles (UGVs). It also details system and subsystem compositions and their basic design. The components/subcomponents, employed payloads and sensors, and communication systems used to compose the autonomous system are discussed. It examines generic applications of these unmanned systems including specific missions for which they are employed. Other topics like swarm of drone, anti-drone system, and some algorithms used in navigation and communication of the drone are also discussed.Some key features:Helps readers understand nuances of autonomous systems on land, in air, and in sea.Explains pertinent design principles, sensors, and communication system.Lays the foundation for crafting, designing, and deploying autonomous systems for different applications.Reviews algorithms, computing, control and technology stacks required for design of UAS.Discusses software and navigation aspects of autonomous systems with the concepts of SLAM.This book is aimed at graduate students and researchers in mechatronics engineering, systems and sensors, systems and control, and aerospace engineering.

Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computa

This book explains unmanned systems including Unmanned Aerial Vehicles (UAVs), Autonomous Underwater Vehicles (AUVs) and Unmanned Ground Vehicles (UGVs). It also details system and subsystem compositions and their basic design. The components/subcomponents, employed payloads and sensors, and communication systems used to compose the autonomous system are discussed. It examines generic applications of these unmanned systems including specific missions for which they are employed. Other topics like swarm of drone, anti-drone system, and some algorithms used in navigation and communication of the drone are also discussed.Some key features: Helps readers understand nuances of autonomous systems on land, in air, and in sea. Explains pertinent design principles, sensors, and communication system. Lays the foundation for crafting, designing, and deploying autonomous systems for different applications. Reviews algorithms, computing, control and technology stacks required for design of UAS. Discusses software and navigation aspects of autonomous systems with the concepts of SLAM. This book is aimed at graduate students and researchers in mechatronics engineering, systems and sensors, systems and control, and aerospace engineering.

This book explains unmanned systems including Unmanned Aerial Vehicles (UAVs), Autonomous Underwater Vehicles (AUVs) and Unmanned Ground Vehicles (UGVs). It also details system and subsystem compositions and their basic design. The components/subcomponents, employed payloads and sensors, and communication systems used to compose the autonomous system are discussed. It examines generic applications of these unmanned systems including specific missions for which they are employed. Other topics like swarm of drone, anti-drone system, and some algorithms used in navigation and communication of the drone are also discussed.Some key features: Helps readers understand nuances of autonomous systems on land, in air, and in sea. Explains pertinent design principles, sensors, and communication system. Lays the foundation for crafting, designing, and deploying autonomous systems for different applications. Reviews algorithms, computing, control and technology stacks required for design of UAS. Discusses software and navigation aspects of autonomous systems with the concepts of SLAM. This book is aimed at graduate students and researchers in mechatronics engineering, systems and sensors, systems and control, and aerospace engineering.

Over the last decade, GIS (geographical information systems) has established itself as a collaborative information processing system that is increasing in popularity. Yet this interdisciplinary field is not available to the vast community of students and academicians as a subject of study.This book addresses the GIS user domain encompassing students, users, and engineers. Important aspects of geographical information science (GISc), which is the basis of GIS, are explained. The book aims to capture the basics of GIS from the point of view of a student. The requirements of GIS have been explained keeping in mind the general user’s level of knowledge. The processing capability of GIS along with the mathematics and formulae involved in arriving at a solution are explained for students and cartographers. The work flow of the whole system, its output, and applications are illustrated from an engineer’s point of view.

Over the last decade, GIS (geographical information systems) has established itself as a collaborative information processing system that is increasing in popularity. Yet this interdisciplinary field is not available to the vast community of students and academicians as a subject of study.This book addresses the GIS user domain encompassing students, users, and engineers. Important aspects of geographical information science (GISc), which is the basis of GIS, are explained. The book aims to capture the basics of GIS from the point of view of a student. The requirements of GIS have been explained keeping in mind the general user’s level of knowledge. The processing capability of GIS along with the mathematics and formulae involved in arriving at a solution are explained for students and cartographers. The work flow of the whole system, its output, and applications are illustrated from an engineer’s point of view.

Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data.Computing in Geographic Information Systemsconsiders the computational aspects, and helps students understand the mathematical principles of GIS. It provides a deeper understanding of the algorithms and mathematical methods inherent in the process of designing and developing GIS functions. It examines the associated scientific computations along with the applications of computational geometry, differential geometry, and affine geometry in processing spatial data. It also covers the mathematical aspects of geodesy, cartography, map projection, spatial interpolation, spatial statistics, and coordinate transformation. The book discusses the principles of bathymetry and generation of electronic navigation charts.The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon.Examines cartographic modeling and map