Design and Manufacture of Fibre-Reinforced Composites
English | 2021 | ISBN: 3030788067 | 152 Pages | PDF EPUB | 52 MB
This book presents an introduction to the design and manufacture of fibre-reinforced composites. The mechanical properties of unidirectional composites are considered in a structural design context. The use of woven and random fibres is also addressed. The accuracy of design estimates for unidirectional composites is benchmarked against test data, and the relevance of a factor of safety (FoS) is established. The importance of prototype testing is emphasised. This book illustrates how to make a fibre-reinforced composite. Wet layup, vacuum bagging and prepreg moulding are covered in detail. Some guidance on mould design and construction is also provided. Finally, an introduction to the manufacture of composite tubes is presented. Wherever possible, design and make examples are used to illustrate the content. Tutorial questions and problems are included at the end of each chapter. The reader is encouraged to use these questions and problems to assess their own level of understanding of the content.

Conference Proceedings Trends in Business Communication 2020
English | 2021 | ISBN: 3658336412 | 193 Pages | PDF | 3 MB
The conference proceedings Trends in Business Communication 2020 presented here show a small selection of the wide range of current research topics in the field of marketing and communication. The spectrum of topics ranges from leadership communication, communication in agile organisations and tweeting CEOs to new developments in e-learning and current requirements for online shareholder meetings to sustainable consumer behaviour, communication in times of home office and new aspects of social media topics. All contributions were presented orally at the international online conference "Trends in Business Communication" on 4 December 2020, the full papers were subjected to a peer review process.

Computational Reconstruction of Missing Data in Biological Research
English | 2021 | ISBN: 9811630631 | 118 Pages | PDF EPUB | 21 MB
The emerging biotechnologies have significantly advanced the study of biological mechanisms. However, biological data usually contain a great amount of missing information, e.g. missing features, missing labels or missing samples, which greatly limits the extensive usage of the data. In this book, we introduce different types of biological data missing scenarios and propose machine learning models to improve the data analysis, including deep recurrent neural network recovery for feature missings, robust information theoretic learning for label missings and structure-aware rebalancing for minor sample missings. Models in the book cover the fields of imbalance learning, deep learning, recurrent neural network and statistical inference, providing a wide range of references of the integration between artificial intelligence and biology. With simulated and biological datasets, we apply approaches to a variety of biological tasks, including single-cell characterization, genome-wide association studies, medical image segmentations, and quantify the performances in a number of successful metrics.

Artificial Intelligence for Knowledge Management
English | 2021 | ISBN: 3030850005 | 115 Pages | PDF | 8 MB
This book features a selection of extended papers presented at the 7th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2019, held in Macao, China, in August 2019, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2019.

Agricultural Internet of Things: Technologies and Applications
English | 2021 | ISBN: 3030657019 | 443 Pages | PDF | 16 MB
Internet of things (IoT) is a new type of network that combines communication technology, expanded applications, and physical devices. Among them, agriculture is one of the most important areas in the application of the IoT technology, which has its unique requirements and integration features. Compared to the information technology in traditional agriculture, the agricultural IoT mainly refers to industrialized production and sustainable development under relatively controllable conditions. Agricultural IoT applies sensors, RFID, visual capture terminals and other types of sensing devices to detect and collect site information, and with broad applications in field planting, facility horticulture, livestock and poultry breeding, aquaculture and agricultural product logistics. It utilizes multiple information transmission channels such as wireless sensor networks, telecommunications networks and the internet to achieve reliable transmission of agricultural information at multiple scales and intelligently processes the acquired, massive information. The goals are to achieve (i) optimal control of agricultural production process, (ii) intelligent electronic trading of agricultural products circulation, and (iii) management of systematic logistics, quality and safety traceability.

Advances in Computer Vision and Computational Biology
English | 2021 | ISBN: 3030710505 | 903 Pages | PDF | 28 MB
The book presents the proceedings of four conferences: The 24th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), The 6th International Conference on Health Informatics and Medical Systems (HIMS'20), The 21st International Conference on Bioinformatics & Computational Biology (BIOCOMP'20), and The 6th International Conference on Biomedical Engineering and Sciences (BIOENG'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students.

Advanced and Applied Studies on Ultra-Trace Rare Earth Elements (REEs) in Carbonates Using SN-ICPMS and LA-ICPMS
English | 2021 | ISBN: 9811636184 | 74 Pages | PDF EPUB | 13 MB
This book provides two state-of-the-art quantitative techniques to determine ultra-trace rare earth elements (REEs) in natural carbonates using solution nebulization-inductively coupled plasma mass spectrometry (SN-ICPMS) and laser ablation-inductively coupled plasma mass spectrometry (LA-ICPMS) with respective applications were presented in this dissertation. These techniques were applied to natural carbonates, including corals and stalagmites, to understand volcano eruptions and the impacts on modern biosystem and paleoclimate regimes.

Advanced Materials for Radiation Detection
English | 2022 | ISBN: 3030764605 | 358 Pages | PDF | 13 MB
This book offers readers an overview of some of the most recent advances in the field of advanced materials used for gamma and X-ray imaging. Coverage includes both technology and applications, with an in-depth review of the research topics from leading specialists in the field. Emphasis is on high-Z materials like CdTe, CZT and GaAs, as well as perovskite crystals, since they offer the best implementation possibilities for direct conversion X-ray detectors. Authors discuss material challenges, detector operation physics and technology and readout integrated circuits required to detect signals processes by high-Z sensors.

Additive and Subtractive Manufacturing of Composites
English | 2021 | ISBN: 9811631832 | 255 Pages | PDF EPUB | 43 MB
The first half of this book mainly deals with the various types of composite fabrication methods along with the introduction, features and mechanisms and also the processing of composite materials via additive manufacturing route. Also, the thermal, mechanical, physical and chemical properties relevant to the processing of composite materials are included in the chapters.

Siemens NX 1973 Build 3401 (NX 1953 Series)
Windows x64 | Multilanguage | File size: 15.5 GB
Siemens NX software is a flexible and powerful integrated solution that helps you deliver better products faster and more efficiently. NX delivers the next generation of design, simulation, and manufacturing solutions that enable companies to realize the value of the digital twin.