Products related to Data:
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Fashion and Environmental Sustainability : Entrepreneurship, Innovation and Technology
The wide range of topics that the book covers are organised into sections reflecting a cradle to grave view of how entrepreneurial, innovative, and tech-savvy approaches can advance environmental sustainability in the fashion sector.These sections include: sustainable materials; innovation in design, range planning and product development; sustainable innovations in fashion supply chains; sustainable innovations in fashion retail and marketing; sustainable alternatives for end-of-life and circular economy initiatives; and more sustainable alternative fashion business models.
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Discovering Computers: Digital Technology, Data, and Devices
DISCOVERING COMPUTERS: DIGITAL TECHNOLOGY, DATA, AND DEVICES, 17th edition, teaches you not only the basics of technology, but also how you will use it -- and the responsibilities that go along with being a digital citizen.Focusing on current technology, the content addresses convergence of devices and platforms.Each module integrates practical how-to tips, ethics issues and security topics, while Consider This boxes woven throughout help you sharpen your critical-thinking skills.A variety of end-of-module activities -- checkpoint questions, small group activities and problem-solving exercises -- enable you to put what you learn into practice.MindTap digital learning solution is also available.Using an inviting approach that ensures understanding, DISCOVERING COMPUTERS equips you with the information you need for success at home, school and work.
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Big Data and Electric Mobility
This book details how to assess electric mobility characteristics within electric vehicles, discussing energy management methods, automated systems, and the enormous potential of data resources mined from software, navigation systems and connectivity. Big Data and Electric Mobility presents methods to mine data specifically for electric vehicles, to comprehend their performance and to present opportunities to develop data-driven technological advancements.Including contributions from experts across the world, the book will look at topics such as human mobile behaviour, battery charging and health, powertrain simulation, energy management and multiphysics-constrained optimal charging. The book will be key reading for researchers and engineers in the field of automotive engineering, electrical engineering and data mining.
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Harnessing Digital Technology and Data for Nursing Practice
As new technologies and data become essential for the delivery of optimal care, nurses will play an increasingly vital role in developing and implementing digital health strategies.This timely book is designed to help you develop proficiency and confidence to lead this digital transformation. Harnessing Digital Technology and Data for Nursing Practice provides comprehensive coverage of the historical, theoretical and practical dimensions of the digital transformation in nursing.It considers a wide range of topics, from person-centred practice and user-centred design to nursing workforce development, evolving nursing practices, and the role of data in improving patient care and research.Expert insights are supported by learning activities and real-life case studies, with application of theory to practice throughout. Aimed at nurses in all settings and working at all professional levels, this book will leave the reader with an appreciation of how an array of digital technologies and data can positively impact nurses' wellbeing, support and improve your daily practice, and ultimately ensure patient-centred, safe and effective care. Written specifically for nurses and midwives - explains how you can play a central role in shaping the digital future of health careProvides historical, theoretical and practical perspectives - offers a sound base from which to understand the role of data technology in your workCovers a wide spectrum of topics, including: digital transformation of health carenursing informaticsuser-centred designdata-driven practiceperson-centred carehealth inequalitiestelehealth and remote monitoringethical and legal considerationspopulation healthresearchProvides practical insights and case studies to help you apply digital technologies in practiceAcknowledges the challenges in adopting digital health, and stresses the importance of digital literacy and nurse involvement in the design and implementation of digital solutionsGlobally relevant and future oriented - creates a vision for nurses as co-navigators of care who make decisions informed by real-time patient analyticsAncillary videos to support learning
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How to calculate the amount of data in digital video data?
To calculate the amount of data in digital video data, you need to consider the resolution, frame rate, and bit depth of the video. First, calculate the total number of pixels in each frame by multiplying the width by the height of the video resolution. Then, multiply this by the number of frames per second to get the total number of pixels per second. Finally, multiply this by the bit depth (usually 8 bits per color channel) to get the total amount of data per second in bits.
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What does a timing diagram for preamble and payload data look like in digital technology?
In digital technology, a timing diagram for preamble and payload data typically shows the timing relationship between the preamble and the payload data. The preamble is a sequence of known bits that helps the receiver synchronize with the transmitter and establish a communication link. In the timing diagram, the preamble will be shown as a series of pulses or bits occurring at specific time intervals, followed by the payload data which contains the actual information being transmitted. The timing diagram will illustrate how the preamble and payload data are synchronized and transmitted within the digital communication system.
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How do you calculate the amount of data in digital video data?
The amount of data in digital video data can be calculated by multiplying the video resolution (width x height in pixels), the bit depth (number of bits used to represent each color channel), the frame rate (number of frames per second), and the duration of the video in seconds. This will give you the total amount of data in bits. To convert this to a more commonly used unit, such as megabytes or gigabytes, you can divide the total amount of data in bits by 8 to get the amount in bytes, and then divide by 1024 multiple times to convert to larger units.
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Is digital data protection important to you?
Yes, digital data protection is very important to me. As a consumer, I want to ensure that my personal information is secure and not vulnerable to cyber attacks or data breaches. As a professional, I understand the importance of protecting sensitive business data and maintaining the trust of clients and customers. In today's digital age, data protection is essential for both personal and professional security.
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Data Science Applied to Sustainability Analysis
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis.As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions.In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas.
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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Handbook of Mobility Data Mining, Volume 1 : Data Preprocessing and Visualization
Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach.The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems.The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field.This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow.The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining.
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Digital Technology and Sustainability : Engaging the Paradox
This book brings together diverse voices from across the field of sustainable human computer interaction (SHCI) to discuss what it means for digital technology to support sustainability and how humans and technology can work together optimally for a more sustainable future. Contemporary digital technologies are hailed by tech companies, governments and academics as leading-edge solutions to the challenges of environmental sustainability; smarter homes, more persuasive technologies, and a robust Internet of Things hold the promise for creating a greener world.Yet, deployments of interactive technologies for such purposes often lead to a paradox: they algorithmically "optimize" heating and lighting of houses without regard to the dynamics of daily life in the home; they can collect and display data that allow us to reflect on energy and emissions, yet the same information can cause us to raise our expectations for comfort and convenience; they might allow us to share best practice for sustainable living through social networking and online communities, yet these same systems further our participation in consumerism and contribute to an ever-greater volume of electronic waste.By acknowledging these paradoxes, this book represents a significant critical inquiry into digital technology’s longer-term impact on ideals of sustainability. Written by an interdisciplinary team of contributors this book will be of great interest to students and scholars of human computer interaction and environmental studies.
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How does data transmission from analog to digital work?
Data transmission from analog to digital works by first converting the analog signal into a digital format. This is done through a process called sampling, where the analog signal is measured at regular intervals and each measurement is assigned a digital value. The digital data is then encoded and modulated for transmission over a digital communication channel, such as a network or the internet. At the receiving end, the digital signal is demodulated and decoded back into its original analog form for use. This process allows for more efficient and reliable transmission of data over long distances.
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What are the components of file data in electronics and radio?
The components of file data in electronics and radio include the actual data being transmitted or stored, such as audio, video, or text. Additionally, there is metadata, which provides information about the file, such as its size, format, and creation date. Error correction codes are also important components, as they help ensure the accuracy of the data being transmitted or stored. Finally, there may be encryption or compression applied to the file data to protect it or reduce its size for more efficient transmission or storage.
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What is Digital Technology 2?
Digital Technology 2 is a course that builds upon the foundational concepts introduced in Digital Technology 1. It delves deeper into topics such as programming, web development, data analysis, and cybersecurity. Students will further develop their skills in using digital tools and technologies to solve real-world problems and gain a more advanced understanding of how technology impacts society. The course aims to prepare students for a career in the rapidly evolving field of digital technology.
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Which HDD is better for data backup, Seagate or Western Digital?
Both Seagate and Western Digital are reputable brands for HDDs, and both offer reliable options for data backup. When choosing between the two, it's important to consider factors such as storage capacity, data transfer speeds, and durability. Additionally, reading customer reviews and comparing specific models from each brand can help determine which HDD is better suited for your data backup needs. Ultimately, the best choice will depend on your specific requirements and budget.
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