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检索条件"任意字段=International Conference on Data and Knowledge Systems for Manufacturing and Engineering"

共 37040 条记录，以下是711-720 订阅

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From Paper to Pixels: A Multi-modal Approach to Understand and Digitize Assembly Drawings for Automated systems 35th

From Paper to Pixels: A Multi-modal Approach to Understand a...

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35th international conference on database and Expert systems Applications (DEXA)

作者： Seliger, Raphael Guel-Ficici, Sebnem Goehner, Ulrich Univ Appl Sci Kempten Inst Data Optimized Mfg IDF Bahnhofstr 61 D-87435 Kempten Germany

ISBN: (纸本)9783031683015;9783031683022

The transition to Industry 4.0 intensifies the demand for advanced manufacturing techniques and efficient data processing capabilities. A notable challenge in engineering is that many older engineering drawings are only available in paper form, creating significant barriers for modern automated systems. This study tackles these challenges by employing advanced deep-learning techniques alongside traditional image processing to convert legacy engineering drawings into structured, machine-readable formats. Following this digitization process, this multi-modal approach further processes drawings containing a lot of heterogeneous data by filtering non-essential details to isolate and extract critical features. This process enables the conversion of complex drawings into formats suitable for computer vision and deep learning applications. The structured datasets resulting from this process are then utilized to enhance the efficiency of automated processes significantly. For instance, they enable more efficient pick-and-place operations by providing the data necessary for machine learning-driven automation.

关键词： Deep Learning Computer Vision Document Analysis engineering Drawing Instance Segmentation

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The Concept of Digital Transformation of SMEs Through the Implementation of ERP and MES systems and Lean Tools 14th

The Concept of Digital Transformation of SMEs Through the Im...

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14th international conference on Learning Factories (CLF)

作者： Saravanja, Luka Stojkic, Zeljko Bosnjak, Igor Veza, Ivica Univ Mostar Fac Mech Engn Comp & Elect Engn Matice Hrvatske Bb Mostar 88000 Bosnia & Herceg Univ Split Fac Elect Engn Mech Engn & Naval Architecture Rudera Bogkovica 32 Split 21000 Croatia

ISBN: (纸本)9783031653995;9783031654008

Industry 4.0 and digital transformations shape business today more than ever, with the aim of achieving better results and performance. The introduction of digital technologies enables the creation of an agile and flexible business that is ready to respond to the demands of today's production. As a basic prerequisite for the implementation of Industry 4.0, modern information system are needed, which are the backbone for networking, collecting and processing data in real time. This especially applies to MES systems. However, in order for information systems as well as other digital technologies to realise their full potential on the path of Industry 4.0, knowledge and use of Lean manufacturing for the organisation is necessary, to achieve efficient production and business processes without losses. The goal of this paper is to contribute to a better understanding of the possibilities of digital technologies in the field of information systems in production, as well as to present the concept of digital transformation in SMEs with the support of Lean manufacturing, and all with the support of the learning factory. The paper presents an example of the implementation of digital transformation in a local company through the implementation of information systems as well as Lean manufacturing. Also, the paper describes previous research in the field of digital transformation of SMEs, achieved through the work and developed infrastructure of the learning factory, which gave a broader picture of the current state of enterprises in the environment on the way to digital transformation and Industry 4.0.

关键词： Industry 4.0 Digital Transformation MES systems Lean manufacturing Learning Factory

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The Practical Reality of Effecting Change to Pedagogies for Global Responsibility in engineering Education 27th

The Practical Reality of Effecting Change to Pedagogies for ...

引用

27th international conference on Interactive Collaborative Learning-ICL

作者： Truslove, Jonathan Hitt, Sarah Jayne Crichton, Emma Engn Borders UK London England New Model Inst Technol & Engn NMITE Hereford England

ISBN: (纸本)9783031856488;9783031856495

Change is complex, uncomfortable, frustrating but importantly, worth the investment- to teach better and to make positive and long-lasting improvements within our educational system. However, navigating the complexities of educating the next generation of engineers is no easy feat. Education is key to helping engineering adapt to 21st-century challenges because it develops the people within a system that is itself complex. This paper shares practical experience and learnings from the experience of two organisations, Engineers Without Borders UK (EWB-UK) and the UK's engineering Professors Council (EPC). Both have navigated this landscape to engage people to co-create resources that meaningfully integrate global responsibility into engineering education by changing how we teach. Firstly, through the engineering for People Design Challenge, which aims to bring to life real-world challenges through a project-based learning pedagogy. Secondly, the upskilling and guidance resources for educators through the EPC's Ethics and Sustainability Toolkits which are designed to help engineering educators improve their own knowledge and skills to integrate this content into teaching, and EWB-UK's Reimagined Degree Map which supports engineering departments to navigate the decisions that are urgently required to prepare students for 21st-century challenges. We analyse data, testimonials and insights from educators using the co-created resources who have made changes to their education practice.

关键词： Collaborative global responsibility systems change

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data-Driven Uncertainty Quantification in Stochastic Power systems 4

Data-Driven Uncertainty Quantification in Stochastic Power S...

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4th IEEE international conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Thakur, Suravi Mushtaq, Hafsah Senroy, Nilanjan Indian Institute of Technology Delhi Department of Electrical Engineering India

ISBN: (纸本)9798350383997

Uncertainty Quantification (UQ) is explored in the context of appropriate sampling of measurements. It is established that a statistical one-on-one relationship between the source of randomness and measurement data is possible only when the data is sampled appropriately. Unlike most of the methods in the literature, the proposed Uncertainty Quantification is thus independent of the modelling details of the power system as well as the knowledge of time-varying disturbances affecting the system. Various case scenarios have been demonstrated using the IEEE 9-bus system as test system to investigate the performance of the proposed technique. © 2024 IEEE.

关键词： Stochastic systems

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Methodology for the Analysis of Agricultural data in the Mexican Context: Study Case of Marigold 15

Methodology for the Analysis of Agricultural Data in the Mex...

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15th international conference on knowledge Discovery and Information Retrieval, KDIR 2023 as part of the 15th international Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2023

作者： Durán, Cristal Galindo Juganaru, Mihaela Escuela Militar de Ingeniería Universidad del Ejército y Fuerza Aérea Lomas de San Isidro Naucalpan Mexico Department ISI Institut Henri Fayol IMT - Mines de Saint Etienne Saint Etienne France

ISBN: (纸本)9789897586712

Agricultural production data for multiple crops is available as open data;However, to discover information in the data it is necessary to consider methodologies, methods and tools that allow guiding the research work to specifically explore agricultural data. This article aims to propose an adaptation of the CRISP-DM and OSEMN methodologies to the agricultural context, which helps to study any crop. In addition, to apply the proposed methodology to the agricultural production of an endemic Mexican product that is the marigold flower, Tagetes erecta. Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Crops

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A Survey on Current Practices, Strategies and Research Needs for Circular manufacturing of Plastics 32nd

A Survey on Current Practices, Strategies and Research Needs...

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32nd international conference on Flexible Automation and Intelligent manufacturing

作者： Fragapane, Giuseppe Lodgaard, Eirin Lyngstad, Ole Vidar SINTEF Mfg Trondheim Norway

ISBN: (纸本)9783031381645;9783031381652

Advances in manufacturing technology made plastics comparatively inexpensive, light, mouldable and durable. The great success of plastics comes along with a strong negative environmental impact and their accumulation in landfills and leakage into the natural environment is now recognized as a global environmental crisis. The circular economy approach to plastics provides a feasible solution to the prevailing linear system and aims to raise the proportion of plastic that is reused or recycled back into the system. The transition towards a circular economy, cannot be achieved solely through changes within the waste-handling system but must be combined with changes in other parts of the value chain, including the design, the manufacturing, etc. Plastic manufacturing companies need support in the transition. Therefore, this study aims to provide knowledge to plastics companies to move from linear towards circular manufacturing processes. We conduct a systematic literature review examining current practices and research needs in circularity within the plastics industry. This study contributes to the literature by mapping circularity strategies in plastics, explaining innovative circular plastic materials, and highlighting current circular manufacturing technologies such as additive manufacturing and the chemical transformation of waste plastics into various value-added chemical feedstocks, which can replace petrochemicals. Additionally, circular pathways are illustrated to support practitioners in identifying their current position in the value chain and understanding pathways to increase circularity. One of the key conclusions is that circular plastic value chains are still deficient in the implementation of R-strategies (such as rethinking, reducing, reusing, etc.) besides recycling.

关键词： Circular manufacturing Plastics Literature review

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Construction of an Intelligent knowledge-Based System Using Transformer Model 4th

Construction of an Intelligent Knowledge-Based System Using ...

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4th international conference on data, engineering, and Applications, IDEA 2022

作者： Madhumathi, B. Srivani, M. Abirami, S. Student Department of Information Science and Technology College of Engineering Guindy Anna University Tamil Nadu Chennai India Assistant Professor Department of AI/ML Sri Ramachandra Faculty of Engineering and Technology SRIHER Porur Tamil Nadu Chennai India Professor Department of Information Science and Technology College of Engineering Guindy Anna University Tamil Nadu Chennai India

ISBN: (纸本)9789819700363

A knowledge-based system (KBS) is a type of artificial intelligence (AI) that seeks to capture the knowledge of human experts in order to aid in decision-making. The process of populating a knowledge base by extracting information from unstructured sources such as pdfs, text, images, and so on is known as knowledge base construction (KBC). It is frequently difficult to deal directly with unstructured data, such as documents. KBC systems assist in storing information in an easy-to-use format. When data is stored in structured format, it becomes easier for applications to use previously inaccessible data. A knowledge-based system’s typical architecture includes a knowledge base and an inference engine. The inference engine derives insights from the knowledge base’s information. knowledge-based systems also include an interface through which users can query and interact with the system. The main aim is to analyse and extract the key evidence from research papers by constructing a knowledge base using the Transformer Model that helps the teachers identify multiple teaching methods that are effective for the students with learning disorders. The major steps involved in the implementation of the proposed system are text preprocessing and analysis, transformer-based joint entity relation extraction and model evaluation. The dataset consists of full text file (PDF) research papers. The text preprocessing and analysis step defines two pipelines for identifying data and targets. The sentences are then represented as tokens using simple Bag-of-Words and weighted TF-IDF. The tokens are then passed through BERT to extract the relevant entities and predict relations. The joint entities and relations consist of teaching methods as entities. Finally, token embedding is performed to classify the entity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Teaching

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An Approach for Sustainable knowledge Management and Policy Upstreaming for Industry4.0 in Central Europe 9th

An Approach for Sustainable Knowledge Management and Policy ...

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9th international conference on Sustainable Design and manufacturing (SDM)

作者： Marquardt, Clarissa Charles, Amal P. Scholz, Steffen G. Karlsruhe Inst Technol KIT Inst Automat & Appl Informat IAI Eggenstein Leopoldshafen Germany Karlsruhe Inst Technol KIT Karlsruhe Nano Micro Facil KNMFi Eggenstein Leopoldshafen Germany

ISBN: (纸本)9789811992070;9789811992056;9789811992049

The manufacturing industry is one of the major drivers and contributors to the success of the European economy. Within Central Europe, a large amount of high-value innovation know-how coming from academia and industry is clustered around the areas of advanced manufacturing and industry 4.0, two areas critical for maintaining Central Europe's competitive edge and high employment rate. However, lack of transparency in access to knowledge on the opportunities offered by Industry4.0 concepts and applications, insufficient cooperation and linkages between innovation actors within and between regions and countries as well as missing alignment of strategies and programs on a policy level are some of the challenges that the Central Europe innovation ecosystem is currently facing. In this paper, the authors describe the conceptualisation, realisation and outcomes of a series of stakeholder engagements workshops for the community-driven development of a sustainable comprehensive policy implementation framework for the areas of advanced manufacturing and industry4.0 in Central Europe.

关键词： Policy upstreaming Sustainable knowledge transfer Advanced manufacturing Industry4.0

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Production and operation decision support system of manufacturing enterprise based on data warehouse

Production and operation decision support system of manufact...

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2023 international conference on Intelligent systems, Communications, and Computer Networks, ISCCN 2023

作者： Han, Jiao Wang, Meng Sun, He College of Innovation and Entrepreneurship Liaoning Institute of Science and Technology Benxi China School of Business Administration Northeastern University Shenyang China

ISBN: (纸本)9781510666238

In order to solve the problem that the traditional decision system is difficult to fully mine the data generated in the production and operation process of manufacturing enterprises, which makes it difficult to make production and operation decisions, a decision support system for manufacturing enterprises based on data warehouse is proposed. In this paper, the function module of enterprise production and operation decision is designed first, and then the manufacturing enterprise production and operation decision data warehouse is established. Finally, based on the improved decision tree algorithm, the mining of production and operation data in the data warehouse is completed, which provides data analysis services for the production and management of manufacturing enterprises. The experimental results verify that the proposed system can manage the production management information of production enterprises in a unified way and improve their comprehensive management level. © 2023 SPIE. All rights reserved.

关键词： data warehouses

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DIGITAL AGGREGATION OF A DIGITAL THREAD: A SYSTEMATIC LITERATURE REVIEW 45

DIGITAL AGGREGATION OF A DIGITAL THREAD: A SYSTEMATIC LITERA...

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2024 international Annual conference of the American Society for engineering Management and 45th Annual Meeting: engineering Management Riding the Waves of Smart systems, ASEM 2024

作者： Campo, Kelly Kacerek, Elizabeth Allen, Jackson Wooley, Ana The University of Alabama Huntsville United States

ISBN: (纸本)9798985333480

With an increasing prevalence of the digital transformation across multiple industries, there is a need to understand the identification, collection, sorting, and integration of data in forming a digital thread for a system. This research aims to systematically review existing peer-reviewed literature to identify methods and techniques employed for data identification, collection, sorting, and integration to form a digital thread. This research also explores the role of artificial intelligence (AI) in creating digital threads. By adopting a data-centric approach emphasizing a single source of truth in the digital thread, stakeholders and decision-makers have updated system information for making real-time decisions. The research contributes to the field of engineering management by providing insights into current strategies for creating a digital thread framework. While there is not a standardized method, there are identifiable patterns in the literature of forming a digital thread. data selection methods consider factors like data gathering, storage compatibility, and relevance, primarily utilizing traditional manufacturing methods such as IoT sensors and cameras. data storage relies on methods like SQL databases and data modeling languages to standardize the data while sorting methods vary based on factors such as life cycle stage and metadata attributes for traceability. Integration methods range from unique frameworks to combining data into a single file type. Future research includes the exploration of emerging AI and machine learning techniques for optimizing data acquisition and integration into digital threads, as well as using an AI-generated digital thread to enhance the decision-making process for engineering managers. Copyright © American Society for engineering Management, 2024.

关键词： artificial intelligence data digital engineering Digital thread

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