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HVPS-DFN-DL: Intelligent capture and characterization of geological fracture outcrops based on a hybrid vision-photogrammetric system and discrete fracture network J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-09-08 Mingyang Wang, Congcong Wang, Enzhi Wang, Xiaoli Liu, Yuhang Lu
The main objective of this article is to provide a framework for intelligent capture-acquisition analysis of geometric information from geological outcrops. By combining deep learning methods with photogrammetric data from unmanned aerial vehicles (UAVs), FPV drones, and terrestrial cameras acquired by a hybrid vision-photogrammetric system (HVPS), intelligent fracture detection and geometric information
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A digital twin for operations management in manufacturing engineering-to-order environments J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-09-05 Guido Vinci-Carlavan, Daniel Rossit, Adrián Toncovich
Engineering-to-order (ETO) companies satisfy a very demanding market, where each client specifies the type of product they require and actively participate in the design, selection of materials, and other activities. This converts the production processes of ETO companies into one-of-a-kind processes (OKP) type, where production planning and control (PPC) activities are extremely complex. The cause
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Analyzing key drivers of digital transformation: A review and framework J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-30 Pattharin Tangwaragorn, Nuttirudee Charoenruk, Wattana Viriyasitavat, Chatpong Tangmanee, Prasert Kanawattanachai, Danupol Hoonsopon, Vitara Pungpapong, Ra-Pee Pattanapanyasat, Sawitree Boonpatcharanon, Phoranee Rhuwadhana
In the digital era, comprehending the factors that drive digital transformation (DT) is crucial for organizations aiming to navigate the evolving technological landscape. This systematic review focuses on identifying and analyzing the key drivers of DT, drawing insights from 19 recognized DT readiness indexes. We examine the dimensions and indicators used across these indexes, highlighting their relevance
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Assessing the level of centralisation in scheduling decisions: The role of hybrid approaches J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-30 Jose M. Framinan, Paz Perez-Gonzalez, Victor Fernandez-Viagas
Decentralised scheduling has been recently advocated as a promising alternative to overcome the difficulties of scheduling jobs in today’s complex and uncertain manufacturing scenarios using the traditional (i.e. centralised) approach consisting of developing a global schedule under the assumption that all necessary data are available and known in advance. In the decentralised approach, machines in
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An overview of blockchain smart contract execution mechanism J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-24 Yang Liu, Jinlong He, Xiangyang Li, Jingwen Chen, Xinlei Liu, Song Peng, Haohao Cao, Yaoqi Wang
Lacking a secure and reliable execution platform has hindered smart contracts from being applied in depth and width. Blockchain, as a decentralized, tamper-proof, and non-repudiation distributed computing platform, ensures that smart contracts are strictly enforced according to their established logic and not manipulated in the execution process. Programmability on the blockchain platforms is achieved
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Protagonists in digital transformation: The impact of chief digital officers on firms’ financial performance J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-17 Yongjun Wei, Minghao Zhu, Hugo K.S. Lam, Feng Liu, Andy C.L. Yeung, T.C.E. Cheng, Honggeng Zhou
Although many firms have started to appoint chief digital officers (CDOs) to lead enterprise-wide digital transformation, it is unclear what type of CDOs can really help improve firms’ financial performance. Analyzing the CDO appointments of 158 S&P 500 companies from 2002 to 2019, our research shows that CDO appointments do help improve forward-looking firm performance, measured in terms of Tobin's
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Human-Robot Collaboration in Mixed-Flow Assembly Line Balancing under Uncertainty: An Efficient Discrete Bees Algorithm J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-14 Xuesong Zhang, Amir M. Fathollahi-Fard, Guangdong Tian, Zaher Mundher Yaseen, Duc Truong Pham, Qiang Zhao, Jianzhao Wu
In the evolving landscape of manufacturing and remanufacturing, assembly lines play a crucial role. Within the context of Industry 5.0, human workers are seen as a valuable and irreplaceable resource. Human-robot collaboration is a promising production model that combines the strengths of human workers and robots, thereby enhancing production efficiency while reducing occupational risks related to
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A review on fabrication and simulation methods of flexible wearable antenna for industrial tumor detection systems J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-14 T A Karthikeyan, M Nesasudha, S Saranya, B Sharmila
Breast cancer is a major cause of cancer-related deaths in women worldwide. Early detection is crucial for improving treatment outcomes and reducing mortality rates. In recent years, there has been a growing interest in the development of novel and non-invasive techniques for early breast cancer detection. Antennas play a crucial role in breast cancer detection, particularly in microwave imaging and
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Lightweight public key infrastructure for the Internet of Things: A systematic literature review J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-10 Mohammed El-Hajj, Pim Beune
The Internet of Things (IoT) has transformed everyday environments into interconnected cyber–physical systems, enabling automation and assistance for diverse applications such as home automation and disability support. However, IoT security remains a critical concern, particularly in the realm of Public Key Infrastructure (PKI). Traditional PKI solutions are often impractical for IoT devices due to
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Satellite Reference Databases: A literature review of data exchange formats and industrial initiatives J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-05 Malik Khalfallah, Alain Martinez, Chris Blade, Tobias Ludwig, Parisa Ghodous
Satellite Reference Databases (SRDBs) aim to manage the definition of telemetry and telecommand objects used by the ground systems to develop satellite operation procedures as well as encode and decode the flow of information between the ground system and the satellite. SRDBs have been identified as a key area of research and industry as they play a major role in the design, operation, and testing
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Model-based tool for the design, configuration and deployment of data-intensive applications in hybrid environments: An Industry 4.0 case study J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-08-03 Ricardo Dintén, Patricia López Martínez, Marta Zorrilla
The fourth industrial revolution advocates the reformulation of industrial processes to achieve the end-to-end (provider-customer) digitalisation of the industrial sector. As is well known, the industrial environment is very complex, where legacy systems must interoperate and integrate with modern devices and sensors. Communication among them requires specific and costly developments, so architectures
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Design of supervision solutions for industrial equipment: Schemes, tools and guidelines for the user J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-31 Mirko Mazzoleni
The advent of Industry 5.0 envisages production systems that are more resilient, embrace human–machine collaboration and promote sustainability driven by technological research. The development of supervision solutions for industrial equipment fills in this picture as a basis for more proactive Condition-Based Maintenance strategies. The goal of this paper is to provide a self-contained set of guidelines
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A critical review of global best practices elements in digital technologies: Advancing a theoretical architecture for quality engineering J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-24 Lungelo Ntobongwana, Arnesh Telukdarie
Technological advancements and changes in local, regional, and global markets have prompted organizations operating in the quality assurance environments to develop competitive strategies that enhance operational excellence and business sustainability. The current global norm is digital technologies as a key enabler of competitive strategies. The ability to develop and integrate digital into quality
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Knowledge-based expert system to drive an informationally interoperable manufacturing system: An experimental application in the Aerospace Industry J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-20 Anderson Luis Szejka, Osiris Canciglieri Junior, Fernando Mas
The industrial revolutions have challenged organisations to rethink their product design and manufacturing processes, making them faster and more connected to market demands and changes. Digital technologies have emerged with solutions to virtual represent physical objects, processes, systems, or assets to simulate and analyse the impact of manufacturing changes before actual implementation. However
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A systematic solution of distributed and trusted chain-network integration J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-18 Yansheng Chen, Pu Jian, Yin Zhang, Jie Li, Zhongkun Wu, Zhonghao Liu
Blockchain, with its characteristics of decentralization, transparency, openness, and intangibility, has become the preferred choice for enhancing the credibility of the industrial cluster network platform. Industrial clusters are an important organizational form for developing small and medium-sized enterprises, and the information service platform plays a key role. This paper constructs a trusted
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Enhancing SMEs digital transformation through machine learning: A framework for adaptive quality prediction J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-18 Ming-Chuan Chiu, Yu-Jui Huang, Chia-Jung Wei
As smart manufacturing expands, businesses see the importance of digital transformation, especially for small and medium-sized enterprises (SMEs). Unlike larger companies, SMEs face greater challenges when undergoing digital transformation due to technological questions. However, recent advancements in high-performance computing and reduced hardware costs have made deep learning-based digital transformation
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Quantum financing system: A survey on quantum algorithms, potential scenarios and open research issues J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-14 Yang Lu, Jiaxian Yang
Quantum financing system is a foreseeable future of finance, which will demonstrate more agile, accurate, and secured performance. Financial markets and related activities are changing dynamically, and quantum computing is one of the emerging technologies responding to financial developments. We attempt to outline a theoretical framework to illustrate a quantum financing system, including quantum financing
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Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-10 Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammad Reza Hajsaeedi, Valeriy S. Rukavishnikov
This study explores the development of predictive models for carbon dioxide (CO) solubility in ionic liquids based on a compiled dataset of 10,116 experimentally measured data points involving four input variables: pressure (P), temperature (T), cation type, and anion type. The deep-learning (DL) predictive models evaluated are standalone and hybrid versions of convolutional neural network (CNN) and
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Group decision making method for third-party logistics management: An interval rough cloud optimization model J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-09 Musavarah Sarwar, Muhammad Akram, Wajeeha Gulzar, Muhammet Deveci
Group decision making in third-party logistics service selection plays an essential role for improving service quality, increasing efficiency and reducing the net cost. Fuzzy and uncertain linguistic variables are commonly used to represent experts‘rankings in optimization problems. To recognize the limits of human cognition and subjectivity of human evaluations, several optimization approaches have
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A Cost-effective approach for quality control in PLA-based material extrusion 3D printing using 3D scanning J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-04 Andrea Montalti, Patrich Ferretti, Gian Maria Santi
In this article, our aim is to underscore the importance of verifying that components produced through material extrusion additive manufacturing exhibit geometric and dimensional conformity with the STL (Standard Tessellation Language) model. Currently, the business world is heavily investing in additive technologies, but it is crucial to obtain feedback on the accuracy of the printed component without
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Knowledge reuse for ontology modelling and application of maintenance motion state sequence J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-07-01 Qidi Zhou, Dong Zhou, Yan Wang, Ziyue Guo, Chao Dai
With the current digital transformation and the development of complex manufacturing systems, advanced maintenance is proposed to improve the competitiveness of complex products, generating a large amount of heterogeneous maintenance data and information. There is a lack of standardized representations of motion-centred maintenance knowledge which leads to semantic ambiguity and poor intertranslatability
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A force-inspired paradigm for performance-based decision support—Physics of Decision application in nonlinear dynamical systems J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-28 Nafe Moradkhani, Frederick Benaben, Benoit Montreuil, Matthieu Lauras, Thibaut Cerabona, Clara Le Duff, Louis Faugere, Julien Jeany
This paper provides a perspective on performance-based decision support. The chosen approach is based on the principles of “Physics of Decision”, which considers the performance of a system as a physical trajectory within the boundaries of its performance indicators that might be deviated through variation of system parameters. According to the overall premise of employing the state-space method to
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Domain-specific languages for the automated generation of datasets for industry 4.0 applications J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-25 Brian Sal, Diego García-Saiz, Alfonso de la Vega, Pablo Sánchez
Data collected in Industry 4.0 applications must be converted into tabular datasets before they can be processed by analysis algorithms, as in any data analysis system. To perform this transformation, data scientists have to write complex and long scripts, which can be a cumbersome process. To overcome this limitation, a language called Lavoisier was recently created to facilitate the creation of datasets
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A green scheduling model for two-stage photo-etching and acid-etching collaboration in semiconductor manufacturing J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-20 Min Kong, Yajing Zhang, Jin Xu, Weizhong Wang, Shaojun Lu, Amir M. Fathollahi-Fard
In semiconductor manufacturing, photo-etching and acid-etching processes play crucial roles in precisely crafting intricate patterns on storage chip wafers. However, these processes generate significant hazardous waste, leading to high disposal costs. Consequently, there has been increased research into cost-effective and environmentally friendly solutions. This study introduces a custom green scheduling
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Adaptive optimization federated learning enabled digital twins in industrial IoT J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-19 Wei Yang, Yuan Yang, Wei Xiang, Lei Yuan, Kan Yu, Álvaro Hernández Alonso, Jesús Ureña Ureña, Zhibo Pang
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Assessment of process chain suitability of the optical 3D measuring system by using influencing factors for measurement uncertainty J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-14 Martin Bilušić, Luka Olivari
Optical 3D measuring systems serve as indispensable tools for the measurement and quality control of complex objects feeding process chains in industrial information integration. However, the accuracy of 3D measurements is influenced by a multitude of parameters, and the associated measurement uncertainties and influential factors remain insufficiently researched. This study investigates the effects
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Towards an extensible model-based digital twin framework for space launch vehicles J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-13 Ran Wei, Ruizhe Yang, Shijun Liu, Chongsheng Fan, Rong Zhou, Zekun Wu, Haochi Wang, Yifan Cai, Zhe Jiang
The concept of Digital Twin (DT) is increasingly applied to systems on different levels of abstraction across domains, to support monitoring, analysis, diagnosis, decision making and automated control. Whilst the interest in applying DT is growing, the definition of DT is unclear, neither is there a clear pathway to develop DT to fully realise its capacities. In this paper, we revise the concept of
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Improving efficiency and quality of operational industrial production assets information management in customer–vendor interaction J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-13 Daniel Pakkala, Jukka Kääriäinen, Teemu Mätäsniemi
Industrial assets management has a key role in ensuring continuity of industrial production via purchasing, warehousing and maintenance of devices and spare parts used in manufacturing, but it suffers from data and information accessibility, completeness, consistency, interoperability, and timeliness challenges in the customer - equipment vendors interaction and information sharing. Current practices
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A three-stage digital maturity model to assess readiness for blockchain implementation in the maritime logistics industry J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-06 Seyed Mohammad Mahdi Hamidi, Seyed Farzad Hoseini, Hadi Gholami, Mohammad Kananizadeh-Bahmani
Interesting opportunities lie in digital technologies, such as blockchain, as enablers of further digital development in maritime logistics processes. Marine companies must assess their digital maturity using appropriate models to gain a competitive advantage through digital transformation. Therefore, it is crucial to present a novel and empirical maturity model for assessing blockchain implementation
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An innovative approach for cluster head selection and Energy Optimization in wireless sensor networks using Zebra Fish and Sea Horse Optimization techniques J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-06-04 Michaelraj Kingston Roberts, Poonkodi Ramasamy, Fadl Dahan
In recent times, Wireless Sensor Networks (WSNs) have become an indispensable technology across various industries, offering diverse applications and services. Among the crucial performance metrics for WSNs, optimal cluster head (CH) selection and energy efficiency are paramount for cost-effective network operations. This paper proposes a novel approach for WSNs that tackles both challenges using Zebra
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Blockchain application to the processes in material design, production, distribution, and disposal: A survey J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-28 Diego Segura Ibarra, Fan Li, Jianjun Zhu, Jinyuan Chen
Data is a valuable resource that can facilitate the development of advanced products sustainably and transparently. However, issues like data manipulation, forgery, and deletion can damage data reliability, limiting its use during product development. In this paper, we aim to identify and explore solutions that relieve data reliability concerns throughout the life of a product. Specifically, we investigate
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Re-imagining intelligent machines in an anthropocentric-ecocentric continuum: The case for ecocentric intelligent machines J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-26 Didem Gürdür Broo, Joshua C. Gellers, Henrik Skaug Sætra
The history of machines traces back to the dawn of human civilization, reflecting the intertwined journey of exploration, invention, and discoveries. From ancient simple machines to remarkable innovations like the Antikythera mechanism and automatons, the evolution of machines has been a testament to human ingenuity. In the 21st century, a new era of machines emerges, characterized by intelligence
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Efficient large-scale biomedical ontology matching with anchor-based biomedical ontology partitioning and compact geometric semantic genetic programming J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-24 Xingsi Xue, Donglei Sun, Achyut Shankar, Wattana Viriyasitavat, Patrick Siarry
Biomedical ontology offers a structured framework to model the biomedical knowledge in a machine-readable format. However, the heterogeneity inherent in biomedical ontologies hinders their communication. Biomedical Ontology Matching (BOM) can address this issue by identifying equivalent concepts in biomedical ontologies. Recently, Evolutionary Algorithms (EAs) based matching techniques have exhibited
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An interactive framework to support decision-making for Digital Twin design J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-23 H M Carlin, P A Goodall, R I M Young, A A West
Producing a Digital Twin (DT) involves many inter-linking decisions. Existing research tends to describe the parts of a DT and how they work, but not the decision-making that goes into building a DT nor the consideration of alternative design options. There is therefore a need for decision support to guide developers to create DTs efficiently while meeting functional requirements such as accuracy and
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Analyzing the impact of cyber-attacks on the performance of digital twin-based industrial organizations J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-15 Ridwan Mustofa, Md. Rafiquzzaman, Niamat Ullah Ibne Hossain
Digital twin is a virtual copy of their “real-world counterparts”, which refer to physical objects, systems, or entities that exist in the physical world. They share valuable information about how the system works by connecting the replica with the real product via the internet and sensors. In digital twin organizations, industrial control systems and the internet are the main sources of data collection
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An application-time-window based credibility assessment method for equipment digital twins in manufacturing J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-15 Han Lu, Lin Zhang, Kunyu Wang, Hongbo Cheng
To effectively assess the credibility of equipment digital twins (DT) for manufacturing, a new method fully considering the dynamic evolution process is urgently needed. In this paper, the influence of the evolution process on the applications is scrutinized, the connotation of equipment DT credibility assessment is expanded, and an assessment method to evaluate the general evolution process of equipment
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Exploring the relationship between routing policies and market demand heterogeneity: A simulation analysis with different hardware and software configurations in traditional warehouses J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-14 Michele Bocelli, Eleonora Bottani, Andrea Volpi, Federico Solari, Natalya Lysova, Roberto Montanari
This study presents a simulative tool designed to evaluate quantitatively the performance of the order picking process in a traditional warehouse with double-sided racks; performance is measured as the distance covered by the picker when carrying out a single task. Using the simulation tool, different warehouse configurations can be generated by changing both hardware (shape factor and input-output
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Certificateless anti-quantum blind signcryption for e-cash J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-10 Huifang Yu, Qi Zhang, Lei Li
Electronic cash (e-cash) has become major payment way in the era of internet of things. However, the leakage of user privacy and transaction data is becoming more and more serious in e-cash system. To solve these problems, we construct a new certificateless blind signcryption from NTRU lattice (NTRUL-CLBSC) suitable for e-cash. NTRUL-CLBSC has low communication overhead and high calculation efficiency
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The role of ontologies in smart contracts: A systematic literature review J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-08 Johnny Alvarado Dominguez, Silvio Gonnet, Marcela Vegetti
The aim of this systematic literature review is to provide a comprehensive understanding of how ontologies address current Smart Contract challenges, identify application scenarios, and present tools and technologies associated with their use. This systematic literature review (SLR), following Kitchenham's methodology, analyses peer-reviewed articles from 2015 to August 2022 from databases such as
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A multi-criteria decision-making approach for pressurized water reactor based on hesitant fuzzy-improved cumulative prospect theory and 2-additive fuzzy measure J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-06 Xuanyu Wu, Yixiong Feng, Shanhe Lou, Zhiwu Li, Bingtao Hu, Zhaoxi Hong, Hengyuan Si, Jianrong Tan
As one of the world's largest energy consumers, China has paid much attention to the development of non-fossil energy sources. The nuclear power is regarded as the top priority for development due to its remarkable ecological and economic advantages. Given the large investment, long lifecycle, and rigorous quality control, the conceptual design plays a critical role in the pressurized water reactor
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A critical analysis of the industrial device scanners’ potentials, risks, and preventives J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-04 Mohammad Borhani, Gurjot Singh Gaba, Juan Basaez, Ioannis Avgouleas, Andrei Gurtov
Industrial device scanners allow anyone to scan devices on private networks and the Internet. They were intended as network security tools, but they are commonly exploited as attack tools, as scanning can reveal vulnerable devices. However, from a defensive perspective, this vulnerability disclosure could be used to secure devices if characteristics such as type, model, manufacturer, and firmware could
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Learnable faster kernel-PCA for nonlinear fault detection: Deep autoencoder-based realization J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-03 Zelin Ren, Yuchen Jiang, Xuebing Yang, Yongqiang Tang, Wensheng Zhang
Kernel principal component analysis (KPCA) is a well-recognized nonlinear dimensionality reduction method that has been widely used in nonlinear fault detection tasks. As a kernel trick-based method, KPCA inherits two major problems. First, the form and the parameters of the kernel function are usually selected blindly, depending seriously on trial-and-error. As a result, there may be serious performance
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Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-05-03 Fei Yu, Chao Lu, Lvjiang Yin, Jiajun Zhou
Considering increasingly serious environmental issues, sustainable development and green manufacturing have received much attention. Meanwhile, with the development of economic globalization and requirement of customization production, distributed hybrid flowshop scheduling problem (DHFSP) and assembly shop problem (ASP) have widely existed in realistic manufacturing systems. In addition to machine
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A novel decision support system based on computational intelligence and machine learning: Towards zero-defect manufacturing in injection molding J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-30 Jiun-Shiung Lin, Kun-Huang Chen
Real-time monitoring solutions have gained popularity across industries due to the advent of Industry 4.0, AI, and big data enhancing the efficiency of industrial production and equipment decisions. Machine learning models that possess computing intelligence and interpretability provide superior predictive capabilities compared to manual adjustments, resulting in cost savings and manufacturing high-quality
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Design ontology for cognitive thread supporting traceability management in model-based systems engineering J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-30 Shouxuan Wu, Guoxin Wang, Jinzhi Lu, Zhenchao Hu, Yan Yan, Dimitris Kiritsis
Industrial information integration engineering (IIIE) is an interdisciplinary field to facilitate the industrial information integration process. In the age of complex and large-scale systems, model-based systems engineering (MBSE) is widely adopted in industry to support IIIE. Traceability management is considered the foundation of information management in MBSE. However, a lack of integration between
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Information-integration-based optimal coverage path planning of agricultural unmanned systems formations: From theory to practice J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-21 Jian Chen, Tao Chen, Yi Cao, Zichao Zhang, Wenxin Le, Yu Han
Industrial information integration engineering (IIIE) is an innovative research subject for analyzing complicated and large-scale systems. Autonomous and efficient path coverage of unmanned systems formations is an important subject of intelligent industrial agriculture. As one typical kind of complicated systems, agricultural unmanned systems formations are urgently required to optimize their operating
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Analyzing the barriers to resilience supply chain adoption in the food industry using hybrid interval-valued fermatean fuzzy PROMETHEE-II model J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-19 Weizhong Wang, Yi Wang, Yu Chen, Muhammet Deveci, Seifedine Kadry, Witold Pedrycz
The resilient food supply chain (RFSC) has been identified as an effective model for mitigating food supply chain (FSC) risks. However, there exist many barriers impacting the implementation of the RFSC. Further, previous studies seldom utilize integrated decision models for identifying and ranking the barriers to implementing RFSC within uncertain environments. Thus, the study establishes an interval-valued
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Multi-position industrial defect inspection using self-training siamese networks with mix strategies J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-18 Fangjun Wang, Xurong Chi, Liangwu Wei, Yanzhi Song, Zhouwang Yang
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Building a knowledge graph to enrich ChatGPT responses in manufacturing service discovery J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-18 Yunqing Li, Binil Starly
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Estimating adaptation effort in industry 4.0-enabled systems: Introducing two complexity indices with an evolvable network graph approach J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-17 Mohammed M. Mabkhot, Pedro Ferreira, William Eaton, Niels Lohse
One of the key aims of Industry 4.0 is to create more responsive systems. Responsiveness enables coping with new market requirements or introducing new products, as demonstrated by the COVID-19 challenges. However, there are currently no effective methods for measuring the responsiveness or reconfigurability of a system, or for quantifying the effort required to adapt it from one state to another.
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PFDup: Practical Fuzzy Deduplication for Encrypted Multimedia Data J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-17 Shuai Cheng, Zehui Tang, Shengke Zeng, Xinchun Cui, Tao Li
Redundant data wastes cloud storage space, especially the multimedia data which comprises a large number of similar files and accounts for the majority of cloud storage. To protect privacy and eliminate redundancy in the cloud, fuzzy deduplication for encrypted multimedia data is practical and feasible. Unfortunately, existing fuzzy deduplications depend on aided server to be against security threats
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Data-driven quasi-convex method for hit rate optimization of process product quality in digital twin J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-16 Yang Yang, Jian Wu, Xiangman Song, Derun Wu, Lijie Su, Lixin Tang
Hit rate is an important quantitative criterion for the process product quality prediction of the integrated industrial processes. The hit rate indicates the percentage of product quantities accepted by the downstream process within the controlled range of the product quality. The optimization model of the hit rate criterion is a non-convex intractable problem. In order to improve the hit rate of the
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An advanced cooperative multi-hive drone swarm system for global dynamic multi-source information awareness J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-08 Jinkun Men, Chunmeng Zhao
With the advancement of unmanned aerial vehicle technology, dynamic monitoring with drones has been widely adopted to enhance multi-source information awareness capabilities. The cooperative strategy among drones still poses a significant challenge. Redundant actions within the drone swarm system can lead to a noticeable decrease in awareness performance. In this work, an advanced cooperative multi-hive
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An integrated temporal and spatial synchronization for two-echelon vehicle routing problem in waste collection system J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-06 Golman Rahmanifar, Mostafa Mohammadi, Mostafa Hajiaghaei-Keshteli, Gaetano Fusco, Chiara Colombaroni
This paper presents a two-echelon vehicle routing problem (2E-VRP) with vehicle synchronization at meeting points for the reverse logistic network to collect waste in the urban area. Low-capacity vehicles are utilized to perform collection only in the inner part of the city because of restricted access and limited infrastructure to be expanded. While, high-capacity vehicles are used to transform waste
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A digital shadow approach for enhancing process monitoring in wire arc additive manufacturing using sensor fusion J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-06 Haochen Mu, Fengyang He, Lei Yuan, Philip Commins, Donghong Ding, Zengxi Pan
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Recognition and optimisation method of impact deformation patterns based on point cloud and deep clustering: Applied to thin-walled tubes J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-04-01 Chengxing Yang, Zhaoyang Li, Ping Xu, Huichao Huang
The recognition and clustering of deformation modes are key to constructing impact deformation constraints for thin-walled structures. This paper transforms the clustering and recognition problem of structural impact deformation modes into a problem of clustering and recognition of point cloud sequences based on pseudo-labels. The effectiveness of the method is assessed, and the experimental results
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Fuzzy reliability evaluation and machine learning-based fault prediction of wind turbines J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-03-25 Jinjing An, Xin Hu, Li Gong, Zhuo Zou, Li-Rong Zheng
The swift growth of the wind power industry necessitates comprehensive evaluation and efficient fault prediction of wind turbines. Given the challenges of integration and optimization of reliability evaluation and fault prediction models, a systematic method of reliability fuzzy evaluation and fault prediction based on the Supervisory Control and Data Acquisition (SCADA) data is proposed. A mid-to-long-term
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Industry 4.0 data security: A cybersecurity frameworks review J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-03-22 Marion Toussaint, Sylvère Krima, Hervé Panetto
As manufacturers are adopting data-driven decisions and processes, manufacturing is becoming more vulnerable to digital threats, making data security a major challenge for Industry 4.0. More specifically, data manipulation is considered a serious threat to organizations with significant and damaging consequences. Adopting a cybersecurity framework is essential to protect organizations against these
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Eco-design tool to support the design of industrial electric vehicles. The case studies of an electric shuttle and an autonomous mobile robot J. Ind. Inf. Integr. (IF 10.4) Pub Date : 2024-03-21 Luca Manuguerra, Federica Cappelletti, Marta Rossi, Michele Germani