Blockchain Technology in the Automotive Industry
Yasin, Ghulam, Kumar Tyagi, Amit, Nguyen, Tuan Anh
- 出版商: CRC
- 出版日期: 2024-10-30
- 售價: $4,820
- 貴賓價: 9.5 折 $4,579
- 語言: 英文
- 頁數: 344
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032584866
- ISBN-13: 9781032584867
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相關分類:
區塊鏈 Blockchain
海外代購書籍(需單獨結帳)
相關主題
商品描述
Nowadays, the latest technologies can be found not only in healthcare and space application but also in hybrid supercars. Supercars and hypercars require high-performance materials with high strength, high stiffness, and light weight. For higher performance, car engines now become stronger but smaller and with lower fuel consumption (with cleaner exhaust). Currently, the automotive industry involves batch production, but in the near future, personalized and individualized automobiles with low and limited quantities can be fabricated in smart factories, which integrate all companies working in the supply chain, from manufacturing to marketing and services. In this regard, future automobiles in smart cities become more personalized (single user, limited version, personal spare parts), safer, and smarter.
Blockchain technology is the key to these future perspectives toward intelligent automobiles without any risk of safety, accident, security, theft, or traffic jam. In the current industry, blockchain technology can explore the interconnection of blockchain with other innovative technologies and trends, such as the Internet of Things (IoT) and artificial intelligence (AI), and analyzes the potential to transform business processes and whole industries if these innovations are applied jointly.
In the case of the manufacturing sector, manufacturing can provide a high return on investment. It was reported that $1 of investment in manufacturing can create $2.5 of economic activity. In addition, smart products should be fabricated from smart materials via the intelligent manufacturing system framework. In smart production, if the products and machines are integrated, embedded, or otherwise equipped with smart sensors and devices, the system can immediately collect the current operating parameters and predict the product quality and then communicate the optimal parameters to machines in the production line. For smart city applications, the global smart cities market size is expected to grow from USD 410.8 billion in 2020 to USD 820.7 billion by 2025 at a compound annual growth rate (CAGR) of 14.8%. For smart city applications, blockchain technology can build on decentralization, immutability, and consensus characteristics.
Additionally, intelligent wireless sensor networks can provide big information to monitor and manage the city's regular operations and services, including traffic and transportation systems, street lighting systems, power plants, water supply networks, waste management, libraries, hospitals, schools, universities, etc. A blockchain-based distributed framework can be used for automobiles in the smart city. This framework can include a novel miner node selection algorithm for the blockchain-based distributed network architecture.
This book explores how blockchain technology can be used in the automotive industry from smart manufacturing to the smart city.
商品描述(中文翻譯)
如今，最新的技術不僅存在於醫療保健和太空應用中，還出現在混合超跑中。超跑和超級跑車需要高性能的材料，具備高強度、高剛性和輕量化的特性。為了提高性能，汽車引擎現在變得更強大，但體積更小且燃油消耗更低（排放更清潔）。目前，汽車產業涉及批量生產，但在不久的將來，個性化和定制化的汽車將以低量和有限的數量在智能工廠中製造，這些工廠整合了供應鏈中所有公司的運作，從製造到行銷和服務。在這方面，未來的汽車在智慧城市中將變得更加個性化（單一用戶、限量版、個人備件）、更安全且更智能。
區塊鏈技術是未來智能汽車的關鍵，能消除安全、事故、保安、盜竊或交通堵塞的風險。在當前的產業中，區塊鏈技術可以探索區塊鏈與其他創新技術和趨勢的互聯性，例如物聯網（IoT）和人工智慧（AI），並分析如果這些創新共同應用，將如何改變商業流程和整個產業的潛力。
在製造業方面，製造可以提供高回報的投資。據報導，1美元的製造投資可以創造2.5美元的經濟活動。此外，智能產品應該通過智能製造系統框架由智能材料製造。在智能生產中，如果產品和機器整合、嵌入或以其他方式配備智能感測器和設備，系統可以立即收集當前的操作參數，預測產品質量，然後將最佳參數傳達給生產線上的機器。對於智慧城市應用，全球智慧城市市場規模預計將從2020年的4108億美元增長到2025年的8207億美元，年均增長率（CAGR）為14.8%。在智慧城市應用中，區塊鏈技術可以建立在去中心化、不變性和共識特性之上。
此外，智能無線感測器網絡可以提供大量信息，以監控和管理城市的日常運作和服務，包括交通和運輸系統、街道照明系統、發電廠、自來水網絡、廢物管理、圖書館、醫院、學校、大學等。基於區塊鏈的分散框架可以用於智慧城市中的汽車。這個框架可以包括一種新型的礦工節點選擇算法，用於基於區塊鏈的分散網絡架構。
本書探討了區塊鏈技術如何在汽車產業中從智能製造到智慧城市的應用。
作者簡介
Ghulam Yasin is a researcher in the School of Environment and Civil Engineering at Dongguan University of Technology, Guangdong, China. His expertise covers the design and development of hybrid devices and technologies of carbon nanostructures and advanced nanomaterials for real-world impact in energy-related and other functional applications.
Amit Kumar Tyagi is an assistant professor at the National Institute of Fashion Technology, New Delhi, India. Previously, from 2019 to 2022, he was an assistant professor (senior grade 2) and senior researcher at Vellore Institute of Technology (VIT), Chennai Campus, Tamil Nadu, India. He earned a PhD in 2018 at Pondicherry Central University, Puducherry, India. From 2018 to 2019, he was an assistant professor and the head researcher at Lingaya's Vidyapeeth (formerly Lingaya's University), Faridabad, Haryana, India. His supervision experience includes more than ten master's dissertations and one PhD thesis. He has contributed to several projects, such as AARIN and P3-Block, to address some of the issues related to privacy breaches in vehicular applications (such as parking) and medical cyber physical systems (MCPS). He has published over 190 papers in refereed high-impact journals, conferences and books, and some of his articles have been awarded best paper awards. Dr. Tyagi has filed more than 25 patents (nationally and internationally) in the area of deep learning, Internet of Things, cyber physical systems, and computer vision. He has edited more than 25 books and has also authored 4 books on intelligent transportation systems, vehicular ad hoc networks, machine learning, and the Internet of Things. Dr. Tyagi has received faculty research awards for 2020, 2021, and 2022 from the Vellore Institute of Technology, Chennai, India. Recently, he received a best paper award for a paper titled "A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient," at ICCSA 2020, Italy (Europe). His research focuses on next-generation machine-based communications, blockchain technology, smart and secure computing, and privacy. He is a regular member of ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, CSI, and ISTE.
Tuan Anh Nguyen is the senior principal research scientist at the Institute for Tropical Technology, Vietnam Academy of Science and Technology, Vietnam. His research activities include smart sensors, smart networks, smart hospitals, smart cities, and advanced nanomaterials. He has edited over 55 Elsevier, 10 CRC Press, and 1 Springer books. He is the editor in chief of Kenkyu Journal of Nanotechnology and Nanoscience.
作者簡介(中文翻譯)
Ghulam Yasin 是中國廣東東莞科技大學環境與土木工程學院的研究員。他的專業涵蓋碳納米結構和先進納米材料的混合設備和技術的設計與開發，旨在對能源相關及其他功能應用產生實際影響。
Amit Kumar Tyagi 是印度新德里國立時尚技術學院的助理教授。此前，他於2019年至2022年擔任印度泰米爾納德邦金奈市維洛爾科技學院（VIT）助理教授（高級2級）及高級研究員。他於2018年在印度本地的龐迪榭里中央大學獲得博士學位。2018年至2019年，他擔任印度哈里亞納邦法里達巴德的Lingaya's Vidyapeeth（前身為Lingaya's University）的助理教授及首席研究員。他的指導經驗包括超過十篇碩士論文和一篇博士論文。他參與了多個項目，如AARIN和P3-Block，以解決與車輛應用（如停車）和醫療網絡物理系統（MCPS）相關的隱私洩露問題。他在高影響力的期刊、會議和書籍上發表了超過190篇論文，其中一些文章獲得最佳論文獎。Tyagi博士在深度學習、物聯網、網絡物理系統和計算機視覺領域申請了超過25項專利（國內和國際）。他編輯了超過25本書籍，並撰寫了4本關於智能交通系統、車輛自組網、機器學習和物聯網的書籍。Tyagi博士曾獲得2020、2021和2022年來自印度金奈維洛爾科技學院的教職員研究獎。最近，他因一篇題為《基於改進的方向梯度直方圖的新型特徵提取器》的論文，在2020年意大利ICCSA會議上獲得最佳論文獎。他的研究重點包括下一代機器通信、區塊鏈技術、智能安全計算和隱私。他是ACM、IEEE、MIRLabs、拉馬努詹數學學會、密碼學研究學會、全球科學教育與研究網絡、CSI和ISTE的正式成員。
Tuan Anh Nguyen 是越南科學技術學院熱帶技術研究所的高級首席研究科學家。他的研究活動包括智能傳感器、智能網絡、智能醫院、智能城市和先進納米材料。他編輯了超過55本Elsevier、10本CRC Press和1本Springer的書籍。他是《Kenkyu Journal of Nanotechnology and Nanoscience》的主編。
