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Topic Review
Sustainable Digital Innovation
Digital innovation is referring to a product, process or business model that is new or requires significant changes and it is enabled by IT. Sustainable digital innovation supports the digitalization process of the economy in a green, long-lasting and organic way. Thus, it serves the need of a sustainable future. The regular digital innovation addresses performances, costs, technology and attractiveness to customers and business, while the sustainable one also addresses to the environmental and social factors. Sustainable digital innovation tries to create value for all the stakeholders involved in the production and distribution process, it is inspired by nature, not only by technology, it reduces resources waste and targets the societal goals, not only the commercial and business goals.
  • 1.8K
  • 17 Jun 2021
Topic Review
Sustainable Adoption of E-Learning from the TAM Perspective
All TAM constructs significantly impact the BI of e-learning use. Additionally, the results showed that mentality acceptance substantially moderates the relationship between system trust and interaction, on the one hand, and PU and PEOU on the other. These findings suggest that educational institutions should focus on factors influencing teachers’ and students’ attitudes toward adopting and using e-learning services. Lack of internet connection, ICT skills, and technology capabilities are the main issues, and the main TAM constructs of all factors. 
  • 417
  • 22 Apr 2022
Topic Review
Sustainability, Digital Technologies and the Circular Economy
The textile and clothing (T&C) industry is not usually viewed as an exemplar of sustainable development and the circular economy (CE), as the industry has hitherto developed its products in a linear fashion, with relatively little recycling of the finished goods. 
  • 440
  • 03 Jul 2023
Topic Review
Sustainability in the Textile and Clothing Value Chain
Textile and clothing is one of the most important industrial sectors, not only due to the significant number of jobs generated, but also because it addresses one of the people’s fundamental needs (clothing). It is, however, a sector with a huge global environmental impact, and also an important negative social impact, especially in developing countries. Sustainability in the textile and clothing value chain is a known issue, concerning both environmental and economic-social facets of sustainability. One way to improve sustainability in this sector is by measuring and monitoring the environmental, economic and social impacts of activities along the value chain and, ultimately, computing an environmental and circular score for each batch of textile and clothing product, and an economic and social score for each involved company, reflected in their products. The consumer will then have the opportunity and responsibility for selecting products with the least negative environmental, economic and social impact.
  • 231
  • 05 Jan 2024
Topic Review
Sustainability Budgets
Artificial Intelligence (AI) is increasingly being used to solve global problems, and its use could potentially solve challenges relating to climate change, but the creation of AI systems often requires vast amounts of, up front, computing power, and, thereby, it can be a significant contributor to greenhouse gas emissions. In 2015, the United Nations (UN) set their ‘Sustainable Development Goals’ (SDGs) as key global priorities for a better world by 2030. One of the key goals (Goal 13) is ‘to take urgent action to combat climate change and its impacts’. More recently, at the 2021 World Climate Summit (a global conference aimed at addressing climate change), a worldwide pledge was made for countries to do more to reduce their carbon footprints. Achieving this aim: utilising ‘Sustainability Budgets’, in analogy with Privacy Budgets in Differential Privacy, it develops a procedure that empowers developers, allows management to have sufficient oversight and provides a governance framework towards achieving Goal 13 of the ‘Sustainable Development Goals’.
  • 778
  • 14 Jun 2022
Topic Review
SUSE Linux Enterprise Desktop
SUSE Linux Enterprise Desktop (SLED), introduced as Novell Linux Desktop, is a Linux distribution supplied by SUSE and targeted at the business market. It is targeted for desktops. New major versions are released at an interval of 24–36 months, while minor versions (called service packs) are released every 9–12 months. SUSE Linux Enterprise products, including SUSE Linux Enterprise Desktop, receive commercial support and much more intense testing than the openSUSE community product, with the intention that only mature, stable versions of the included components will make it through to the released enterprise product. The current version is SLED 15, which is developed from a common codebase with SUSE Linux Enterprise Server (SLES) and other SUSE Linux Enterprise (SLE) products. SLED includes the GNOME Shell, LibreOffice, Evolution and many other popular open source packages such as Dia, TigerVNC, and lftp. Like SLES, SLED is based on openSUSE Tumbleweed and shares a common codebase with openSUSE Leap. On 15 March 2019, EQT Partners completed its acquisition of SUSE for 2.5 billion USD, leaving SUSE one of the largest independent enterprise Linux vendors.
  • 808
  • 19 Oct 2022
Topic Review
Survey of the Tactile Internet
The Tactile Internet (TI) is an innovation that facilitates interaction between human beings (possibly over a distance) with visual presence and haptic feedback. In June 2015, the Technical Activities Board Future Directions Committee launched the most current activity for the Institute of Electrical and Electronics Engineers (IEEE) Digital Senses Initiative (DSI). The DSI is devoted to propelling advancements that catch and recreate human activities such as sense, touch, hearing, taste, and sight from the external world.
  • 686
  • 18 Sep 2021
Topic Review
Surrogate-Based Optimisation
Surrogate-based optimisation (SBO) algorithms are a powerful technique that combine machine learning and optimisation to solve expensive optimisation problems. This type of problem appears when dealing with computationally expensive simulators or algorithms. By approximating the expensive part of the optimisation problem with a surrogate, the number of expensive function evaluations can be reduced.
  • 513
  • 31 Mar 2022
Topic Review
Surface Defect Detection of Strip-Steel
Surface-defect detection is crucial for assuring the quality of strip-steel manufacturing. Strip-steel surface-defect detection requires defect classification and precision localization, which is a challenge in real-world applications.
  • 500
  • 14 Sep 2022
Topic Review
Surface Defect Detection and Identification Methods on Leather
Genuine leather manufacturing is a multibillion-dollar industry that processes animal hides from varying types of animals such as sheep, alligator, goat, ostrich, crocodile, and cow. Due to the industry’s immense scale, there may be numerous unavoidable causes of damages, leading to surface defects that occur during both the manufacturing process and the bovine’s own lifespan. Owing to the heterogenous and manifold nature of leather surface characteristics, great difficulties can arise during the visual inspection of raw materials by human inspectors. To mitigate the industry’s challenges in the quality control process, there is a growing interest in leveraging artificial intelligence (AI) and computer vision techniques for automated and accurate leather surface defect detection.
  • 428
  • 21 Aug 2023
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