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Historical Facts toward Introduction of Fiber-Optics and Photonics
Published in Tarun Kumar Gangopadhyay, Pathik Kumbhakar, Mrinal Kanti Mandal, Photonics and Fiber Optics, 2019
The system of converting signals from the state of analog to digital is called the digitization. These digital signals along with the all content information are obtained by using computer and advance machine. This format is also capable to hold the contents of signals, sound tracks, photographs, images, and documents in the form of digitization. All this information can be easily transmitted from one point to another by means of high-speed data transmission. The number of digital bits can be transmitted per second along the optical fiber (single mode fiber and multimode fiber) in the wavelength scale of light through the commercially available network. The present stage of high-speed data communication was not reached in one day. It has a long history of development. These constitute a glorious chapter in the history of light wave technology.
Why Study the History of Digital Media and How?
Published in Gabriele Balbi, Paolo Magaudda, A History of Digital Media, 2018
Gabriele Balbi, Paolo Magaudda
That said, the CD/vinyl record example helps us to introduce the two basic elements in digital media technologies: digitization and binary language (Lister, Dovey, Giddings, Grant & Kelly, 2009). Digitization is, above all, a process converting contents, which were previously expressed in different forms, into numbers (to the extent that in languages such as French the term numérisation is used). In the analog model, video, audio and text are transmitted as continual signals and each of these three content forms differs from the others. With digitization, video, audio and text are, on the other hand, all codified in the same “material”, i.e. numerical data that allows information to be transferred and stored independently of the original content type.
Machine Learning Applications
Published in Peter Wlodarczak, Machine Learning and its Applications, 2019
The increasingly digitized world and the advent of Internet of Things produces an ever-increasing amount of transactional and sensor data. The main goal of digitization is to increase productivity and efficiency and ultimately reduce costs. Machine learning is used to identify the data points and patterns that are relevant to optimize capacity, but it is also used to detect observations that are suspicious since they are deviant from the majority of the data. Deviant data is usually caused by some kind of problem, such as bank fraud, malfunctioning equipment, network intrusions or medical problems.
Digitalization’s impacts on productivity: a model-based approach and evaluation in Germany’s building construction industry
Published in Production Planning & Control, 2021
Joachim Berlak, Stefan Hafner, Volker G. Kuppelwieser
The word digitalization is often applied differently in public and scientific discourses, and is sometimes even used as a synonym for digitization or for digital transformation (Matt, Hess, and Benlian 2015). Shapiro and Varian (1998, 3) described digitization as ‘encod[ing information] as a stream of bits’. In a narrow sense, digitization is ‘the work of turning all kinds of information and media—text, sounds, photos, video, data from instruments and sensors and so on—into the ones and zeroes that are the native language of computers’ (Brynjolfsson and McAfee 2014, 85). In contrast, digitalization is the process of levering digitization and digital technologies in order to improve business processes, create new business models and find and implement new revenue-adding and value-adding opportunities (Osterwalder and Pign€ 2010). Digitalization implies digitized data and digital technologies’ broader use and context by changing interactions, communications, business functions, and business models into more digital ones. When comparing digitization and digitalization, digitization is an action that may enable digitalization, but the latter always demands the former (Valenduc and Vendramin 2017). Digital transformation is the result of digitalization processes, which refer to digital strategies’ shaping and implementing, their transformation of business models into customer-driven business ones that require organizational change at all levels, and the use of digital technologies (Frank, Dalenogare, and Ayala 2019). Digitalization contributes to digital business; digital transformation requires digital business and digitization (Gray and Rumpe 2015).
Using digitalisation to achieve decarbonisation in the shipping industry
Published in Journal of International Maritime Safety, Environmental Affairs, and Shipping, 2021
Pratham Agarwala, Sanjay Chhabra, Nitin Agarwala
For clarity, digitisation is about creating a digital version of analogue/ physical information so as to be available for use by a computing system. Digitalisation, on the other hand, refers to enabling, improving and/ or transforming operations, functions, processes and/ or activities, by utilising digitised data to obtain actionable knowledge with a specific benefit in mind. When referring to digital transformation, it occurs when a business moves to doing a digital business to improve processes, value for customers, and innovation. Industry 4.0 is the European form of digital transformation and digitalisation.