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检索条件"丛书名=Lecture Notes in Business Information Processing"

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Supporting the Implementation of Digital Twins for IoT-Enhanced BPs 17th

Supporting the Implementation of Digital Twins for IoT-Enhan...

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Valderas, Pedro PROS Research Centre Universitat Politècnica de València Camí de Vera S/N Valencia46022 Spain

ISBN: (纸本)9783031330797

IoT-Enhanced business Processes make use of Internet of Things technology to integrate physical devices into the process as digital actors. Closely related to this topic arises the concept of Digital Twin, which is a virtual representation of real-world entities and processes that connect to the physical counterpart to represent, simulate, or predict changes in the physical system. There are many works that focus on supporting the high-fidelity implementation of Digital Twins for specific physical devices. However, few of them consider the process as a real-world entity to be integrated into the Digital Twin. In this work, we present a microservice architecture to support the implementation of Digital Twins for IoT-Enhanced business Processes, considering not only the physical devices but also the process itself and the relationship among them. This architectural solution is supported by a model-driven development approach, which proposes (1) the construction of a BPMN model to represent an IoT-enhanced business Process and (2) the application of model transformation to automatically generate both Digital Twin Definition Language (DTDL) models and microservice Java code templates. DTDL models are used in the implementation of the Digital Twins for the IoT-Enhanced business Process. Java code templates are used to facilitate the implementation of the microservices required to deploy the IoT-enhanced business Process and its Digital Twins into the proposed architecture and maintain the digital and physical parts synchronised. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Internet of things

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Secure Infrastructure for Cyber-Physical Ranges 17th

Secure Infrastructure for Cyber-Physical Ranges

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Kampourakis, Vyron Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik2802 Norway

ISBN: (纸本)9783031330797

Industrial systems (IS), including critical ones, swiftly move towards integrating elements of modern information Technology (IT) into their formerly air-gapped Operational Technology (OT) architectures. And, naturally, the more such systems become interconnected, the more alluring they pose to attackers. Concurrently, the twenty-four-seven availability of these systems renders it harder for defenders to promptly apply contemporary security controls. In this context, cyber ranges have emerged as a proper complementary solution for better comprehending and subsequently tackling the relevant risks without endangering the operation of the real systems. This work aspires to contribute a reference architecture for designing and developing cross-sector critical infrastructure (CI) cyber-physical ranges and security testbeds. A second key goal is to demonstrate the soundness of the proposed reference architecture through the implementation and evaluation of a number of cyber range instances specifically tailored for CIs of interest, including manufacturing, energy, and healthcare. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cyber Physical System

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On the Semantics of Risk Propagation 17th

On the Semantics of Risk Propagation

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Fumagalli, Mattia Engelberg, Gal Sales, Tiago Prince Oliveira, Ítalo Klein, Dan Soffer, Pnina Baratella, Riccardo Guizzardi, Giancarlo Free University of Bozen-Bolzano Bolzano Italy Accenture Israel Cyber R &D Lab Tel Aviv Israel University of Twente Enschede Netherlands University of Haifa Haifa Israel

ISBN: (纸本)9783031330797

Risk propagation encompasses a plethora of techniques for analyzing how risk "spreads" in a given system. Albeit commonly used in technical literature, the very notion of risk propagation turns out to be a conceptually imprecise and overloaded one. This might also explain the multitude of modeling solutions that have been proposed in the literature. Having a clear understanding of what exactly risk is, how it be quantified, and in what sense it can be propagated is fundamental for devising high-quality risk assessment and decision-making solutions. In this paper, we exploit a previous well-established work about the nature of risk and related notions with the goal of providing a proper interpretation of the different notions of risk propagation, as well as revealing and harmonizing the alternative semantics for the links used in common risk propagation graphs. Finally, we discuss how these results can be leveraged in practice to model risk propagation scenarios. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Risk assessment

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A Data Analytics Architecture for the Exploratory Analysis of High-Frequency Market Data 1

引用

11th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2022

作者： Ng, Siu Lung Rabhi, Fethi School of Computer Science and Engineering The University of New South Wales SydneyNSW2052 Australia

ISBN: (数字)9783031316715

ISBN: (纸本)9783031316708

The development of cloud computing and database systems has increased the availability of high-frequency market data. An increasing number of researchers and domain experts are interested in analyzing such datasets in an ad-hoc manner. In spite of this, high-frequency data analysis requires a combination of domain knowledge and IT skills due to the need for data standardisation and extensive usage of computational resources. This paper proposes an architecture design for integrating data acquisition, analytics services, and visualisation to reduce the technical challenges for researchers and experts to analyze high-frequency market data. A case study demonstrates how the design can assist experts to invoke different analytics services within a consistent operational environment backed by analytics tools and resources such as a GCP’s Big Query running over a Refinitiv Tick History database and a Jupyter notebook. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data Analytics

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Give Them a Second Chance? Prediction of Recurrent Financial Intermediary Misconduct 1

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11th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2022

作者： Lausen, Jens Clapham, Benjamin Goethe University Frankfurt Frankfurt Germany

ISBN: (数字)9783031316715

ISBN: (纸本)9783031316708

Financial intermediary misconduct represents a major threat for financial markets. Of particular concern is recurrent misconduct, where intermediaries harm investors for their own benefit. This not only impairs affected investors but also decreases trust and participation of investors in financial markets resulting in reduced possibilities for retirement savings and inefficiencies regarding the allocation of funds to the real economy. To solve this societal challenge, recurrent misconduct needs to be prevented. Based on a comprehensive data set, we develop predictive models to identify brokers that repeatedly commit misconduct. In line with existing theories, we show that the disciplinary history of brokers together with the linguistic style and the content of brokers’ comments to allegations provide valuable features for predictive models. Our results contribute to the literature on financial misconduct and automated fraud detection. They are valuable for investors and regulators alike assisting them to identify and prevent recurrent financial intermediary misconduct. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Financial markets

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A Systematic Literature Review of Digital Transformation of Manufacturing Enterprises: Bibliometric Analysis and Knowledge Framework 1

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22nd Wuhan International Conference on E-business, WHICEB 2023

作者： Zhang, Zhiwei Zhang, Ning Gu, Jiayi School of Information Central University of Finance and Economics Beijing China

ISBN: (数字)9783031323027

ISBN: (纸本)9783031323010

How manufacturing companies can achieve digital transformation is an important issue of concern in theory and practice. The research results of digital transformation of manufacturing enterprises are rich and the research topics are diverse, but it is still necessary to systematically summarize previous achievements and build a relatively complete knowledge framework to provide support for subsequent research. This paper analyzes the digital transformation literatures of manufacturing enterprises by knowledge map with CiteSpace. First, identify the research topics and key documents of digital transformation of manufacturing enterprises based on co-citation analysis;Secondly, the research frontiers and research hotspots are identified based on keyword co-occurrence analysis;Finally, the knowledge framework of digital transformation research of manufacturing enterprises is constructed. In the knowledge framework, six research themes are identified, i.e., digital technology, dynamic capability, circular economy, digital servitization, lean manufacturing and maturity model. Several cross-topic research results were found, providing ideas for future research in the field of digital transfor-mation of manufacturing enterprises. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Industrial research

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Digital Technology-Driven business Process Redesign: A Classification Framework 17th

Digital Technology-Driven Business Process Redesign: A Class...

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Kubrak, Kateryna Milani, Fredrik Nava, Juuli University of Tartu Tartu Estonia

ISBN: (纸本)9783031330797

Organizations constantly seek ways to improve their business processes. This often involves using digital technologies to enable process improvements. However, simply substituting existing technology with newer technology has limited value as compared to using the capabilities of digital technologies to introduce changes to business processes. Therefore, process analysts need to understand how the capabilities of digital technologies can be used to redesign business processes. In this paper, we conducted a systematic literature review and examined 40 case studies where digital technologies were used to redesign business processes. We identified that, within the context of business process improvement, capabilities of digitalization, communication, analytics, digital representation, and connectivity can enable business process redesign. Furthermore, we note that these capabilities enable applying nine redesign heuristics. Based on our review, we map how each capability can facilitate the implementation of specific redesign heuristics to improve a business process. Thus, our mapping can aid analysts in identifying candidate redesigns that capitalize on the capabilities of digital technologies. © 2023, The Author(s).

关键词： Process design

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Using GUI Change Detection for Delta Testing 17th

Using GUI Change Detection for Delta Testing

引用

17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Ricós, Fernando Pastor Neeft, Rick Marín, Beatriz Vos, Tanja E. J. Aho, Pekka Universitat Politècnica de València València Spain Open Universiteit Heerlen Netherlands

ISBN: (纸本)9783031330797

Current software development processes in the industry are designed to respond to rapid modification or changes in software features. Delta testing is a technique used to check that the identified changes are deliberate and neither compromise existing functionality nor result in introducing new defects. This paper proposes a technique for delta testing at the Graphical User Interface (GUI) level. We employ scriptless testing and state-model inference to automatically detect and visualize GUI changes between different versions of the same application. Our proposed offline change detection algorithm compares two existing GUI state models to detect changes. We present a proof of concept experiment with the open-source application Notepad++, which allows automatic inference and highlights GUI changes. The results show that our technique is a valuable amplification of scriptless testing tools for delta testing. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Change detection

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Detection of Fishing Activities from Vessel Trajectories 17th

Detection of Fishing Activities from Vessel Trajectories

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Ashrafi, Aida Tessem, Bjørnar Enberg, Katja Department of Information Science and Media Studies University of Bergen Bergen Norway Department of Biological Sciences University of Bergen Bergen Norway

ISBN: (纸本)9783031330797

This work is part of a design science project where the aim is to develop Machine Learning (ML) tools for analyzing tracks of fishing vessels. The ML models can potentially be used to automatically analyse Automatic Identification System (AIS) data for ships to identify fishing activity. Creating such technology is dependent on having labeled data, but the vast amounts of AIS data produced every day do not include any labels about the activities. We propose a labeling method based on verified heuristics, where we use an auxiliary source of data to label training data. In an evaluation, a series of tests have been done on the labeled data using deep learning architectures such as Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), 1D Convolutional Neural Network (1D CNN), and Fully Connected Neural Network (FCNN). The data consists of AIS data and daily fishing activity reports from Norwegian waters with a focus on bottom trawlers. Accuracy is higher than or equal to 87% for all deep learning models. Example applications of the trained models show how they can be used in a practical setting to identify likely unreported fishing activities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Long short-term memory

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A Peek into the Working Day: Comparing Techniques for Recording Employee Behaviour 17th

A Peek into the Working Day: Comparing Techniques for Rec...

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17th International Conference on Research Challenges in information Sciences, RCIS 2023

作者： Šinik, Tea Beerepoot, Iris Reijers, Hajo A. Department of Information and Computing Sciences Utrecht University Princetonplein 5 Utrecht Netherlands

ISBN: (纸本)9783031330797

Detailed recordings of employee behaviour can give organisations valuable insights into their work processes. However, recording techniques each have their advantages and disadvantages in terms of their obtrusiveness for participants, the richness of information they capture, and the risks that are involved. In an effort to systematically compare recording techniques, we conducted a multiple-case study at a multinational professional services organisation. We followed six participants for a working day, comparing the outcomes from non-participant observation, screen recording, and timesheet techniques. We generated 136:04 h of data and 849 records of activities. We identified 58 differences between the techniques. The results show that the use of only one technique will not produce a complete and accurate record of the activities that occur on the screen (online), in the hallway (offline), and in the extra hours (overtime). Therefore, it is vital to choose a technique wisely, taking into account the type of information it does not capture. Furthermore, this study identifies some open challenges with respect to accurately recording employee behaviour. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Personnel

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