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  • A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization
    Comput. Ind. (IF 4.769) Pub Date : 2020-04-02
    Haoshu Cai; Jianshe Feng; Qibo Yang; Wenzhe Li; Xiang Li; Jay Lee

    The prediction of the average material removal rate (MRR) in chemical mechanical planarization (CMP) process has been recognized to be a critical factor of virtual metrology (VM) modeling for advanced process control (APC). This paper proposes a Gaussian process regression (GPR)-based model to dynamically predict MRR in CMP process. The proposed method uses K-nearest neighbor (KNN) to search for reference

  • A systematic design method of adaptive augmented reality work instruction for complex industrial operations
    Comput. Ind. (IF 4.769) Pub Date : 2020-04-01
    Junhao Geng; Xinyu Song; Yuntao Pan; Jianjun Tang; Yu Liu; Dongping Zhao; Yongsheng Ma

    One of the barriers that prevent augmented reality (AR) from being widely adopted in diverse and complex industrial operations is the lack of adaptive and scalable AR work instruction (ARWI). This paper suggests a systematic method to solve the problem. The proposed method presents an adaptive representation structure that expresses and controls those interrelated aspects of ARWI adaptiveness: authoring

  • Cyber physical system-enabled synchronization mechanism for pick-and-sort ecommerce order fulfilment
    Comput. Ind. (IF 4.769) Pub Date : 2020-03-23
    Xiang T.R. Kong; Xuan Yang; K.L. Peng; Clyde Zhengdao Li

    This research has aimed itself at capitalizing the benefits of CPS-enabled visibility and traceability technology for adaptive synchronization of pick-and-sort ecommerce order fulfilment. With assistance of IoT systems, the involved men, materials, and machines are turned into smart objects, deploying in the real-time environment. According to the real-time data collected from working stages, an adaptive

  • A cyber physical system for tool condition monitoring using electrical power and a mechanistic model
    Comput. Ind. (IF 4.769) Pub Date : 2020-03-20
    Paul Goodall; Dimitrios Pantazis; Andrew West

    Tool Condition Monitoring (TCM) systems, which aim to identify tool wear automatically to avoid damage to the machined part, are often not suitable for industrial applications due to: (i) sensing methods which can be expensive and invasive to install and (ii) testing regimes that only evaluate a narrow operating window under controlled conditions. To combat these issues, the research outlined in this

  • Unveiling the technological trends of augmented reality: A patent analysis
    Comput. Ind. (IF 4.769) Pub Date : 2020-03-17
    Alessandro Evangelista; Lorenzo Ardito; Antonio Boccaccio; Michele Fiorentino; Antonio Messeni Petruzzelli; Antonio E. Uva

    This paper investigates the Augmented Reality (AR) technology with a novel approach based on patent research. We searched the USPTO for AR-related granted patents in the period 1993–2018, we selected and manually browse a total of 2,373, we classified them in five key technological classes i.e., display device, tracking, user interaction, application, and system, and we finally analyzed the results

  • Estimating Industry 4.0 impact on job profiles and skills using text mining
    Comput. Ind. (IF 4.769) Pub Date : 2020-03-13
    S. Fareri; G. Fantoni; F. Chiarello; E. Coli; A. Binda

    Industry 4.0 is introducing rapid and epochal changes and challenges. Among these, the issue of skills and job profiles is assuming a critical role. In fact, the literature highlights not only the necessary integration of existing skills in professional profiles, but also the inevitable creation of new ones to properly manage the digitalisation trends. Although, the state of the art mostly focuses

  • Comparison of RSM, ANN and Fuzzy Logic for extraction of Oleonolic Acid from Ocimum sanctum
    Comput. Ind. (IF 4.769) Pub Date : 2020-01-30
    Aditya Khamparia; Babita Pandey; Devendra Kr. Pandey; Deepak Gupta; Ashish Khanna; Victor Hugo C de Albuquerque

    In Bioprocess Engineering down streaming process is very important step for extraction and purification of secondary metabolites. Already statistical methods i.e. Response Surface Methodology (RSM) utilized to optimized the different types of extraction parameters such as extraction time, particle size, solvent-solid ratio, solvent composition on maximum extraction of bioactive compounds. But these

  • Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture
    Comput. Ind. (IF 4.769) Pub Date : 2020-02-10
    Mario Lezoche; Jorge E. Hernandez; Maria del Mar Eva Alemany Díaz; Hervé Panetto; Janusz Kacprzyk

    The term “Agri-Food 4.0” is an analogy to the term "Industry 4.0", coming from the concept “agriculture 4.0”. Since the origins of the industrial revolution, where the steam engines started the concept of Industry 1.0 and later the use of electricity upgraded the concept to Industry 2.0, the use of technologies generated a milestone in the industry revolution by addressing the Industry 3.0 concept

  • Smart manufacturing and DVSM based on an Ontological approach
    Comput. Ind. (IF 4.769) Pub Date : 2020-02-03
    Zhuoyu Huang; Casey Jowers; Ali Dehghan-Manshadi; Matthew S. Dargusch

    Smart manufacturing is characterized as transparent shop floor production, rapid and intelligent responses to dynamic changes, and a utilization of high-performance inter-cooperation networks. Smart manufacturing and a global appetite for personalized products have transitioned industry from mass production into the age of mass customization. Increased autonomy is slowly changing customer expectations

  • Reducing human effort in engineering drawing validation
    Comput. Ind. (IF 4.769) Pub Date : 2020-02-06
    Elena Rica; Carlos Francisco Moreno-García; Susana Álvarez; Francesc Serratosa

    Oil & Gas facilities are extremely huge and have complex industrial structures that are documented using thousands of printed sheets. During the last years, it has been a tendency to migrate these paper sheets towards a digital environment, with the final end of regenerating the original computer-aided design (CAD) projects which are useful to visualise and analyse these facilities through diverse

  • Developing augmented reality capabilities for industry 4.0 small enterprises: Lessons learnt from a content authoring case study
    Comput. Ind. (IF 4.769) Pub Date : 2020-02-12
    Katherine van Lopik; Murray Sinclair; Richard Sharpe; Paul Conway; Andrew West

    Augmented reality (AR) has been proposed as a disruptive and enabling technology within the Industry 4.0 manufacturing paradigm. The complexity of the AR content creation process results in an inability for Small Enterprise (SE) to create bespoke, flexible AR training support “in-house” and is a potential barrier to industrial adoption of AR. Presently, AR content creation requires a range of specialist

  • BPRIM: An integrated framework for business process management and risk management
    Comput. Ind. (IF 4.769) Pub Date : 2020-02-08
    Elyes Lamine; Rafika Thabet; Amadou Sienou; Dominik Bork; Franck Fontanili; Herve Pingaud

    Enterprise engineering deals with the design of processes which aim to improve the structure and efficiency of business organizations. It develops approaches based on modeling techniques, particularly on business process modeling, to ensure the quality and the global consistency of enterprise strategies and expectations. Nowadays, risk consideration in enterprise engineering is a growing concern since

  • The relationship between ERP capabilities, use, and value
    Comput. Ind. (IF 4.769) Pub Date : 2020-02-18
    Pedro Ruivo; Björn Johansson; Saonee Sarker; Tiago Oliveira

    This study assesses the effect of some extended Enterprise Resource Planning (ERP) capabilities (Collaboration, Analytics, Web-portals, Add-ons) and ERP use on ERP value. The research conducted, followed a mixed-methods approach using an exploratory study (Delphi) and the resource-based view of the firm to understand the ERP capabilities and develop three competing models surrounding these capabilities

  • Connected attribute morphology for unified vegetation segmentation and classification in precision agriculture.
    Comput. Ind. (IF 4.769) Pub Date : 2018-07-13
    Petra Bosilj,Tom Duckett,Grzegorz Cielniak

    Discriminating value crops from weeds is an important task in precision agriculture. In this paper, we propose a novel image processing pipeline based on attribute morphology for both the segmentation and classification tasks. The commonly used approaches for vegetation segmentation often rely on thresholding techniques which reach their decisions globally. By contrast, the proposed method works with

  • Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device.
    Comput. Ind. (IF 4.769) Pub Date : 2018-07-13
    M F Hansen,M L Smith,L N Smith,K Abdul Jabbar,D Forbes

    Here we propose a low-cost automated system for the unobtrusive and continuous welfare monitoring of dairy cattle on the farm. We argue that effective and regular monitoring of multiple condition traits is not currently practicable and go on to propose 3D imaging technology able to acquire differing forms of related animal condition data (body condition, lameness and weight), concurrently using a single

  • Photometric stereo for three-dimensional leaf venation extraction.
    Comput. Ind. (IF 4.769) Pub Date : 2018-07-13
    Wenhao Zhang,Mark F Hansen,Melvyn Smith,Lyndon Smith,Bruce Grieve

    Leaf venation extraction studies have been strongly discouraged by considerable challenges posed by venation architectures that are complex, diverse and subtle. Additionally, unpredictable local leaf curvatures, undesirable ambient illuminations, and abnormal conditions of leaves may coexist with other complications. While leaf venation extraction has high potential for assisting with plant phenotyping

  • Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field.
    Comput. Ind. (IF 4.769) Pub Date : 2018-07-13
    Lyndon Neal Smith,Wenhao Zhang,Mark F Hansen,Ian John Hales,Melvyn Lionel Smith

    Machine vision systems offer great potential for automating crop control, harvesting, fruit picking, and a range of other agricultural tasks. However, most of the reported research on machine vision in agriculture involves a 2D approach, where the utility of the resulting data is often limited by effects such as parallax, perspective, occlusion and changes in background light - particularly when operating

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