標(biāo)題: Titlebook: Data-Driven Engineering Design; Ang Liu,Yuchen Wang,Xingzhi Wang Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusiv [打印本頁(yè)] 作者: Autopsy 時(shí)間: 2025-3-21 17:27
書(shū)目名稱(chēng)Data-Driven Engineering Design影響因子(影響力)
作者: 蘆筍 時(shí)間: 2025-3-21 22:47 作者: 不知疲倦 時(shí)間: 2025-3-22 03:49 作者: hemorrhage 時(shí)間: 2025-3-22 07:12
https://doi.org/10.1007/978-3-662-46402-1 analysis techniques are becoming critical tools for managing the increasingly complex concept improvement process. The advantages of the data-driven approach lie in its objectivity, as traditionally, design decisions depend on designers’ subjective opinions. This chapter introduces a data-driven ap作者: 埋伏 時(shí)間: 2025-3-22 09:09
V. K. Giri,Nishchal K. Verma,V. P. Singh-driven smart customization. Data-driven smart customization is a new paradigm that highly emphasizes the reconfiguration of products in the use phase. This paradigm calls for a new architecture to enhance collaboration to perform customization. This chapter proposes a blockchain-based data-driven s作者: 合適 時(shí)間: 2025-3-22 12:53 作者: 合適 時(shí)間: 2025-3-22 19:01
Natural Logic and Natural Language Inferencergence of SPSS has transformed the way manufacturers deliver value to their product users, as Internet-based services enable products to be constantly updated during their use phase. Furthermore, enhancing product functions during the use stage to better meet users’ needs offers revolutionary potent作者: Melanoma 時(shí)間: 2025-3-23 01:16 作者: 組成 時(shí)間: 2025-3-23 03:02
Text, Speech and Language Technologylude sensors, Internet and mobile Internet, Internet of Things, cloud computing, edge computing, blockchain, machine learning, artificial intelligence, big data analytics, virtual reality and augmented reality, digital twin, and so forth. These enabling technologies are presented in correspondence t作者: Confirm 時(shí)間: 2025-3-23 09:03
Ang Liu,Yuchen Wang,Xingzhi WangCombines current design methodologies with emerging data science.Showcases a range of validated data-driven design frameworks.Presents alternative approaches to early-stage design作者: 綁架 時(shí)間: 2025-3-23 11:13 作者: Cougar 時(shí)間: 2025-3-23 17:36
https://doi.org/10.1007/978-3-030-88181-8Engineering Design; Data-Driven Design; Data Science; Product Development; Design Methodology; Product Se作者: Subjugate 時(shí)間: 2025-3-23 21:41
978-3-030-88183-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 藝術(shù) 時(shí)間: 2025-3-24 01:42 作者: LITHE 時(shí)間: 2025-3-24 03:44 作者: Paraplegia 時(shí)間: 2025-3-24 08:29
Blockchain-Based Data-Driven Smart Customization,mart customization framework, in which blockchain functions to maintain the evolved customization data and decentralized consensus among stakeholders. A case study of smart vehicle customization is conducted to demonstrate its efficacy.作者: aesthetician 時(shí)間: 2025-3-24 13:42 作者: cloture 時(shí)間: 2025-3-24 18:48
Strategies of Structure Elucidation specific product features. The framework also provides insights into product usage contexts, which facilitates discovering product improvements and innovation opportunities. A case study of an e-reader demonstrates the application of the proposed framework.作者: 一美元 時(shí)間: 2025-3-24 22:06 作者: 大方不好 時(shí)間: 2025-3-25 03:14
Text, Speech and Language Technologylogies can be integrated, either vertically or horizontally, towards an integrated system of systems. Multiple specific applications of these enabling technologies are presented as illustrative examples.作者: 兒童 時(shí)間: 2025-3-25 06:15
User-Generated Content Analysis for Customer Needs Elicitation, specific product features. The framework also provides insights into product usage contexts, which facilitates discovering product improvements and innovation opportunities. A case study of an e-reader demonstrates the application of the proposed framework.作者: 浪蕩子 時(shí)間: 2025-3-25 09:59 作者: Infraction 時(shí)間: 2025-3-25 13:38
Enabling Technologies of Data-Driven Engineering Design,logies can be integrated, either vertically or horizontally, towards an integrated system of systems. Multiple specific applications of these enabling technologies are presented as illustrative examples.作者: 交響樂(lè) 時(shí)間: 2025-3-25 16:23 作者: Resection 時(shí)間: 2025-3-25 23:01
native approaches to early-stage design.This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in pa作者: Pepsin 時(shí)間: 2025-3-26 03:13 作者: 冥想后 時(shí)間: 2025-3-26 06:01 作者: 夜晚 時(shí)間: 2025-3-26 12:07 作者: 讓步 時(shí)間: 2025-3-26 13:39
Iterative Searching and Sorting,perations to support design operations involved in the process of designing a smart product with stronger context-smartness, network-smartness, and service-smartness. Some existing design methods and emerging design tools are also incorporated into the framework.作者: 臆斷 時(shí)間: 2025-3-26 18:59
Data-Driven Engineering Design,h relevant notions. The background, motivation, and significance of data-driven engineering design are elaborated. From a theoretical perspective, data-driven engineering design is characterized by a novel integration between the existing design theory and methodology with the emerging data science.作者: 神刊 時(shí)間: 2025-3-27 00:45
User-Generated Content Analysis for Customer Needs Elicitation,ng purchase decisions. UGC also contains invaluable information for product designers on customers’ behaviours, needs and opinions. In this chapter, a UGC analysis framework is proposed for researchers and practitioners to extract large quantities of information from UGC data related to product feat作者: Connotation 時(shí)間: 2025-3-27 02:46
Data-Driven Conceptual Design,objective and analytical. This chapter introduces the data-driven conceptual design. There are three data services: (1) helping novice designers accumulate experience, knowledge, and cognitions. (2) Helping designers plan, redesign, and improve the design process. (3) Helping designers verify design作者: Acetaldehyde 時(shí)間: 2025-3-27 05:57
Management of Constraints, Complexities, and Contradictions in the Data Era, analysis techniques are becoming critical tools for managing the increasingly complex concept improvement process. The advantages of the data-driven approach lie in its objectivity, as traditionally, design decisions depend on designers’ subjective opinions. This chapter introduces a data-driven ap作者: 善于騙人 時(shí)間: 2025-3-27 10:49 作者: rods366 時(shí)間: 2025-3-27 16:01 作者: 向下五度才偏 時(shí)間: 2025-3-27 18:48 作者: Foam-Cells 時(shí)間: 2025-3-27 22:20 作者: WITH 時(shí)間: 2025-3-28 03:29 作者: ANA 時(shí)間: 2025-3-28 10:11
Book 2022 showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation..Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design..作者: 拋物線 時(shí)間: 2025-3-28 11:18
https://doi.org/10.1007/978-3-662-46402-1 data is used to specify concept improvement design targets. These benefits are explained through constraint, complexity, and contradiction management methodologies. Finally, a case study of a robot vacuum cleaner illustrates this data-driven approach to the concept improvement.作者: 清唱?jiǎng)?nbsp; 時(shí)間: 2025-3-28 16:04 作者: CLAMP 時(shí)間: 2025-3-28 19:06
