Products related to Applications:
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Spatial Sound : Principles and Applications
Spatial sound is an enhanced and immersive set of audio techniques which provides sound in three-dimensional virtual space.This comprehensive handbook sets out the basic principles and methods with a representative group of applications: sound field and spatial hearing; principles and analytic methods of various spatial sound systems, including two-channel stereophonic sound, and multichannel horizontal and spatial surround sound; ambisonics; wavefield synthesis; binaural playback and virtual auditory display; recording and synthesis, and storage and transmission of spatial sound signals; and objective and subjective evaluation.Applications range from cinemas to small mobile devices. The only book to review spatial sound principles and applications extensively Covers the whole field of spatial soundThe book suits researchers, graduate students, and specialist engineers in acoustics, audio, and signal processing.
Price: 195.00 £ | Shipping*: 0.00 £ -
Spatial Sound : Principles and Applications
Spatial sound is an enhanced and immersive set of audio techniques which provides sound in three-dimensional virtual space.This comprehensive handbook sets out the basic principles and methods with a representative group of applications: sound field and spatial hearing; principles and analytic methods of various spatial sound systems, including two-channel stereophonic sound, and multichannel horizontal and spatial surround sound; ambisonics; wavefield synthesis; binaural playback and virtual auditory display; recording and synthesis, and storage and transmission of spatial sound signals; and objective and subjective evaluation.Applications range from cinemas to small mobile devices. The only book to review spatial sound principles and applications extensively Covers the whole field of spatial soundThe book suits researchers, graduate students, and specialist engineers in acoustics, audio, and signal processing.
Price: 69.99 £ | Shipping*: 0.00 £ -
Building Mapping Applications with QGIS
If you are an experienced Python developer who wants to create your own geospatial applications with minimum fuss, this is the book for you.While some familiarity with mapping applications would be an advantage, no prior knowledge of geospatial concepts is required.Even if you've never used QGIS before, this book will quickly get you up to speed.
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Visualization, Visual Analytics and Virtual Reality in Medicine : State-of-the-art Techniques and Applications
Visualization, Visual Analytics and Virtual Reality in Medicine: State-of-the-art Techniques and Applications describes important techniques and applications that show an understanding of actual user needs as well as technological possibilities.The book includes user research, for example, task and requirement analysis, visualization design and algorithmic ideas without going into the details of implementation.This reference will be suitable for researchers and students in visualization and visual analytics in medicine and healthcare, medical image analysis scientists and biomedical engineers in general. Visualization and visual analytics have become prevalent in public health and clinical medicine, medical flow visualization, multimodal medical visualization and virtual reality in medical education and rehabilitation.Relevant applications now include digital pathology, virtual anatomy and computer-assisted radiation treatment planning.
Price: 115.00 £ | Shipping*: 0.00 £
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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Data Analytics : Concepts, Techniques, and Applications
Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques.Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems.However, these diverse application domains give rise to new research challenges.In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area.In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.
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Spatial Intelligence for a Greener Planet : AI Applications in Environmental Pollution Mapping, Analysis and Mitigation
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability.It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution.Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts.Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.
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Spatial Data Science : With Applications in R
Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data.These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its consequences for analysis, and how attributes of geometries can relate to geometries.In the second part of the book, these concepts are illustrated with data science examples using the R language.In the third part, statistical modelling approaches are demonstrated using real world data examples.After reading this book, the reader will be well equipped to avoid a number of major spatial data analysis errors. The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vector data cubes – array data with spatial and temporal dimensions.It also shows how geometrical operations change when going from a flat space to the surface of a sphere, which is what sf and stars use when coordinates are not projected (degrees longitude/latitude).Separate chapters detail a variety of plotting approaches for spatial maps using R, and different ways of handling very large vector or raster (imagery) datasets, locally, in databases, or in the cloud.The data used and all code examples are freely available online from https://r-spatial.org/book/.The solutions to the exercises can be found here: https://edzer.github.io/sdsr_exercises/.
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Data Analytics Applications in Gaming and Entertainment
The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data.At the same time, the emergence of new business models and the diversification of the player base have exposed a broader potential audience, which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels.This, in turn, has led to a growing interest in data mining techniques, as they offer new opportunities for deriving actionable insights to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.By now, data mining and analytics have become vital components of game development.The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject. Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production.It is intended as a companion for practitioners, academic researchers, and students seeking knowledge on the latest practices in game data mining.The chapters have been chosen in such a way as to cover a wide range of topics and to provide readers with a glimpse at the variety of applications of data mining in gaming.A total of 25 authors from industry and academia have contributed 12 chapters covering topics such as player profiling, approaches for analyzing player communities and their social structures, matchmaking, churn prediction and customer lifetime value estimation, communication of analytical results, and visual approaches to game analytics.This book’s perspectives and concepts will spark heightened interest in game analytics and foment innovative ideas that will advance the exciting field of online gaming and entertainment.
Price: 44.99 £ | Shipping*: 0.00 £
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Are unsolicited applications allowed in self-initiated job applications?
Yes, unsolicited applications are allowed in self-initiated job applications. Unsolicited applications involve reaching out to a company even if they have not advertised any job openings. This can demonstrate initiative and proactiveness to potential employers. However, it is important to tailor your application to the company and clearly explain why you are interested in working for them.
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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What are applications and examples of applications for a PID controller?
A PID controller is a type of feedback control system that is widely used in industrial processes, robotics, and automation. It is used to control the behavior of a system by continuously adjusting the input based on the difference between the desired setpoint and the actual output. Some common applications of PID controllers include temperature control in ovens and HVAC systems, speed control in motors and drives, and pressure control in hydraulic systems. PID controllers are also used in chemical and process industries to maintain precise control over variables such as flow rate, level, and composition.
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What are web applications?
Web applications are software programs that run on web servers and are accessed through a web browser. They allow users to interact with data and perform tasks over the internet. Web applications can range from simple websites to complex platforms that offer a wide range of functionalities such as online shopping, social networking, and productivity tools. They are designed to be platform-independent and can be accessed on any device with an internet connection.
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