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Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure Challenges Opportunities and Practices

Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure Challenges Opportunities and Practices

This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation ontology-based Knowledge Graph analytics for process optimizations and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT Big data AI smart sensors machine learning and communication technologies all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins as well as a valuable reference for planners designers developers and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing. | Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure Challenges Opportunities and Practices

GBP 135.00
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Crime as Destiny A Study of Criminal Twins

Nest of 2 Tables Black TWINS - Gemini Interiors

Digital Twin Technology

Digital Twin Technology

Most of the business sectors consider the Digital Twin concept as the next big thing in the industry. A current state analysis of their digital counterparts helps in the prediction of the future of physical assets. Organizations obtain better insights on their product performance through the implementation of Digital Twins and the applications of the technology are frequently in sectors such as manufacturing automobile retail health care smart cities industrial IoT etc. This book explores the latest developments and covers the significant challenges issues and advances in Digital Twin Technology. It will be an essential resource for anybody involved in related industries as well as anybody interested in learning more about this nascent technology. This book includes: The future present and past of Digital Twin Technology. Digital twin technologies across the Internet of Drones which developed various perceptive and autonomous capabilities towards different control strategies such as object detection navigation security collision avoidance and backup. These approaches help to deal with the expansive growth of big data solutions. The recent digital twin concept in agriculture which offers the vertical framing by IoT installation development to enhance the problematic food supply situation. It also allows for significant energy savings practices. It is highly required to overcome those challenges in developing advanced imaging methods of disease detection & prediction to achieve more accuracy in large land areas of crops. The welfare of upcoming archetypes such as digitalization in forensic analysis. The ideas of digital twin have arisen to style the corporeal entity and associated facts reachable software and customers over digital platforms. Wind catchers as earth building: Digital Twins vs. green sustainable architecture.

GBP 105.00
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Digitalization in Construction Recent trends and advances

Digitalization in Construction Recent trends and advances

This book highlights the latest trends and advances in applications of digital technologies in construction engineering and management. A collection of chapters is presented explicating how advanced technological solutions can innovatively address challenges and improve outcomes in the construction industry. Promising technologies that are highlighted include digital twins virtual reality augmented reality artificial intelligence robotics blockchain and distributed ledger technologies. The first section presents recent applications of extended reality technologies for construction education and advanced project control. The subsequent chapters explore Artificial Intelligence (AI) blockchain and BIM-enabled digitalization in construction through a series of case studies reviews and technical studies. Innovative technologies and digitalized solutions are proposed for improved design planning training monitoring inspection and operations management in Architectural Engineering and Construction (AEC) contexts. In addition to the technological perspectives and insights presented pressing issues such as decarbonization safety and sustainability in the built environment are also discussed. This book provides foundational knowledge and in-depth technical studies on emerging technologies for students academics and industry practitioners. The research demonstrates how the effective use of new technologies can enhance work methods transform organizational structures and bring profound advantages to construction project participants. | Digitalization in Construction Recent trends and advances

GBP 150.00
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Software Engineering Approaches to Enable Digital Transformation Technologies

Software Engineering Approaches to Enable Digital Transformation Technologies

Software Engineering Approaches to Enable Digital Transformation Technologies features contributions reflecting ideas and research in enabling digital transformation technologies through software engineering. To date multiple different approaches have been adopted to develop software solutions for a variety of different problems. Of all the available approaches the main approaches are level-oriented data flow-oriented data structure-oriented and object-oriented design approaches. The other focus of the book is digital transformation which can be defined as the adoption of digital technology to improve efficiency value and innovation Digitalization is more than just putting additional technological systems and services in place. Rather than improving conventional methods a true digital transformation initiative includes radically rethinking company structures and procedures. There are four types of digital transformation: business process business model domain and cultural and organizational. Companies are being challenged to develop new business models that consider and harness digitalization. From the standpoint of software engineering digital transformation alters how software is built. Current trends include the development of mobile applications cloud applications and Internet of Things (IoT) applications. Emerging trends are the development of digital twins robotics artificial intelligence machine learning augmented reality and additive manufacturing. This book examines the challenges that arise due to digitization in society and presents plausible solutions that could be applied to counter these challenges and convert them into opportunities. These solutions may further be improvised and worked out for the software companies from the technological perspective organizational perspective and management perspective.

GBP 150.00
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Clarins Double Serum Light Texture (Various Sizes)

Clarins Double Serum Light Texture (Various Sizes)

Clarins Double Serum Light Texture (Various Sizes) Inspired by the science of epigenetics, Clarins reinvents Double Serum Light Texture with its new generation dual formula, ideal for combination to oily skin. Now with a 50% lighter feel*, the lipid phase of Double Serum Light Texture incorporates Lightweight Tri-Oil Technology, comprised of a trio of 100% natural oils. The lightweight formula is instantly absorbed into the skin, leaving a bare skin finish with no residual film. Specially formulated to deeply moisturise while leaving a light finish, Double Serum Light Texture offers anti-ageing action on the skin. It is particularly suitable for: - combination to oily skin - young skin** - men - warm climates Non-comedogenic. Its new packaging contains 94%*** recyclable materials and has been redesigned to deliver a totally bespoke experience. The push-button dosing system is designed to meet every need while limiting over-consumption thanks to its ON/OFF locking system. *Comparative sensory analysis test vs. Double Serum, 12 sensory experts. **Excluding children. ***50 ml base format. Innovation and plant expertise At the heart of Double Serum Light Texture is a selection of 27 powerful active ingredients and our Epi-Ageing Defence Technology which targets and reduces the effects of ageing linked to lifestyle. Turmeric extract helps boost the skin's five vital functions and improve the appearance of signs of ageing on the skin, whilst the Clarins exclusive Giant Provençal reed extract helps to reduce the impacts of Epi-ageing on the skin. Clarins Plus For the first time, a ground-breaking Clarins clinical study carried out on over 60 twins has quantified the impact of lifestyle on skin ageing. This phenomenon is known as epi-ageing and proves that an 'unbalanced' lifestyle accentuates the signs of ageing. Results One drop* Women find just one drop gives them smooth, youthful-looking skin. Women notice: -15%** Visible wrinkles +20%** Firmer skin +38%** More radiant skin -21%** Visible pores 96%*** of women say Double Serum Light Texture provides a bare skin effect. 98%*** of women say the texture is ultra-light. *Consumer test, multi-ethnic panel, 380 women – from first use.  How to use: Apply morning and/or evening to the face and neck, before day/night cream. After selecting the level of dosing desired, mix and warm the serum in the hands to bring to skin temperature and to facilitate absorption. Then place the serum on the middle part of the face, pressing outward over the face and neck using the entire surface of the hand. Apply using draining pressure from the centre of the face outward beginning on the cheeks, then the forehead and neck, to avoid pulling tissues, enhancing drainage and preserving youthful-looking features. Ingredients: AQUA/WATER/EAU. C9-12 ALKANE. GLYCERIN. UNDECANE. CETEARYL ISONONANOATE. ISONONYL ISONONANOATE. PENTYLENE GLYCOL. TRIDECANE. PROPANEDIOL. SILYBUM MARIANUM SEED OIL. SQUALANE. BUTYLENE GLYCOL. FRUCTOSE. ETHYLENE/PROPYLENE/STYRENE COPOLYMER. PARFUM/FRAGRANCE. TROMETHAMINE. HYDROXYACETOPHENONE. AVENA SATIVA (OAT) KERNEL EXTRACT. TOCOPHERYL ACETATE. ESCIN. CARBOMER. ETHYLHEXYLGLYCERIN. ALOE BARBADENSIS LEAF JUICE POWDER. SODIUM ACETYLATED HYALURONATE. THEOBROMA CACAO (COCOA) EXTRACT. CAPRYLIC/CAPRIC TRIGLYCERIDE. AESCULUS HIPPOCASTANUM (HORSE CHESTNUT) EXTRACT. LEONTOPODIUM ALPINUM FLOWER/LEAF EXTRACT. BUTYLENE/ETHYLENE/STYRENE COPOLYMER. DISODIUM EDTA. MALTODEXTRIN. XANTHAN GUM. CURCUMA LONGA (TURMERIC) ROOT EXTRACT. PERSEA GRATISSIMA (AVOCADO) OIL UNSAPONIFIABLES. MELISSA OFFICINALIS LEAF EXTRACT. CARAMEL. HIPPOPHAE RHAMNOIDES KERNEL EXTRACT. SODIUM LACTATE. MUSA SAPIENTUM (BANANA) FRUIT EXTRACT. OENOTHERA BIENNIS (EVENING PRIMROSE) FLOWER/LEAF/STEM EXTRACT. HARUNGANA MADAGASCARIENSIS EXTRACT. KALANCHOE PINNATA LEAF EXTRACT. MANGIFERA INDICA (MANGO) LEAF EXTRACT. SODIUM BENZOATE. TOCOPHEROL. CITRIC ACID. CENTAUREA CYANUS FLOWER EXTRACT. HEDYCHIUM CORONARIUM ROOT EXTRACT. COCO-GLUCOSIDE. DIPSACUS SYLVESTRIS EXTRACT. ARUNDO DONAX STEM EXTRACT. JANIA RUBENS EXTRACT. PENTAERYTHRITYL TETRA-DI-T-BUTYL HYDROXYHYDROCINNAMATE. POTASSIUM SORBATE. SODIUM CITRATE. MALPIGHIA EMARGINATA (ACEROLA) SEED EXTRACT. ARBUTUS UNEDO FRUIT EXTRACT. HELIANTHUS ANNUUS (SUNFLOWER) SEED OIL. PALMITOYL TRIPEPTIDE-1. CI 14700/RED 4. PALMITOYL TETRAPEPTIDE-7. [V4467A] Size: 30ml, 50ml

GBP 92.00
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