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

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Expanding the Capacities of a CNN-Based Ant Counting and Density Estimation Application 25th

Expanding the Capacities of a CNN-Based Ant Counting and Den...

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25th International Conference on Enterprise information Systems (ICEIS)

作者： Silva, Mateus Coelho Felisberto, Breno Henrique Batista, Mateus Caldeira Bianchi, Andrea Gomes Campos Ribeiro, Servio Pontes Oliveira, Ricardo Augusto Rabelo Univ Fed Ouro Preto Comp Dept Ouro Preto Brazil Univ Fed Vicosa Gen Biol Dept Vicosa MG Brazil Univ Fed Ouro Preto Biol Dept Ouro Preto Brazil

ISBN: (纸本)9783031647475;9783031647482

Understanding collective insect behaviour is a pertinent ecological problem that has to be solved. The fact that some of these flocks are the largest cooperative units in nature has a tremendous impact on our knowledge of nature. Reliable data sampling contributes to the challenge's complexity in some ways. Based on convolutional neural networks, this paper proposes a novel technique for comprehending the numbers and distribution of ants in colonies. Due to the special nature of this tool, we developed an application to generate the marked dataset, produced the initial dataset, and evaluated the solution using several backbones. Our findings imply that the suggested strategy is workable to address the suggested problem. The average coefficient of determination R-2 with the ground truth counting was 0.9783 using the MobileNet as the backbone and 0.9792 using the EfficientNet-V2B0 as the backbone. The global average for the semi-quantitive classification of each image region was 86% for the MobileNet and 88% for the EfficientNet V2-B0. There was no statistically significant difference between both cases' average and median errors. The coefficient of determination was close to the statistical significance threshold (p = 0.065). The application using the MobileNet as its backbone performed the task faster than the version using the EfficientNet V2-B0, with statistical significance (p < 0.05).

关键词： Convolutional neural networks Ant ecology Population estimation

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Investigating an Ontology-Informed Approach to Event Log Generation in Healthcare 5th

Investigating an Ontology-Informed Approach to Event Log Gen...

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5th International Conference on Process Mining (ICPM)

作者： Dwyer, Owen P. Chammas, Lara Sallinger, Emanuel Davies, Jim Univ Oxford Oxford England TU Wien Vienna Austria

ISBN: (纸本)9783031561061;9783031561078

Process mining methods have the potential to reveal useful patterns in hospital data and provide insights into patterns of treatment, but healthcare has proven an exceptionally challenging domain due to the significant heterogeneity of possible events and the diversity of individual patients. When studying a patient's pathway, their history might contain hundreds of events unrelated to the disease of interest;determining which to include or exclude in an event log is difficult, and highly dependent on the situation. Typically, researchers only include the most common or correlated events (risking missing rare but significant exceptions), or hand-curate a list of events (slow and difficult, especially where there might be thousands of possible events). We discuss an alternative approach that uses logical reasoning over ontologies to deduce plausibly related events, which might have implications in terms of time savings, the facilitation of reproducible research, and the enabling of comparisons across datasets and healthcare systems. We investigate the practical feasibility of such an approach by demonstrating it on real data, finding that the discovered processes approximate those produced through established approaches, with some caveats. The approach is a promising way to support conversations with domain experts and expedite human processes, and highlights the potential of structured domain knowledge to inform and enhance the event log generation process.

关键词： preprocessing filtering ontologies

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MApp-KG: Mobile App Knowledge Graph for Document-Based Feature Knowledge Generation 36th

MApp-KG: Mobile App Knowledge Graph for Document-Based Featu...

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36th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Motger, Quim Franch, Xavier Marco, Jordi Univ Politecn Cataluna Barcelona Spain

ISBN: (纸本)9783031609992;9783031610004

Mobile app repositories serve as large-scale crowdsourced information systems used for various document-based software engineering tasks, leveraging product descriptions, user reviews, and other natural language documents. Particularly, feature extraction (i.e., identifying functionalities or capabilities of a mobile app mentioned in these documents) is key for product recommendation, topic modelling, and feedback analysis. However, researchers often face domain-specific challenges in mining these repositories, including the integration of heterogeneous data sources, large-scale data collection, normalization and ground-truth generation for feature-oriented tasks. In this paper, we introduce MAppKG, a combination of software resources and data artefacts in the field of mobile app repositories aimed at supporting feature-oriented knowledge generation tasks. Our contribution provides a framework for automatically constructing a knowledge graph that models a domain-specific catalog of natural language documents related to mobile applications. We distribute MApp-KG through a public triplestore, enabling its immediate use for future research and replication of our findings.

关键词： Mobile Apps Knowledge Graph User Reviews Natural Language Document Feature Extraction RDF

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Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry 16th

Towards Integrating Knowledge Graphs into Process-Oriented H...

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16th Software Quality Days Conference (SWQD)

作者： Heinzl, Bernhard Silvina, Agastya Krause, Franz Schwarz, Nicole Kurniawan, Kabul Kiesling, Elmar Pichler, Mario Moser, Bernhard Software Competence Ctr Hagenberg GmbH Hagenberg Austria Univ Mannheim Mannheim Germany Vienna Univ Econ & Business Vienna Austria

ISBN: (纸本)9783031562808;9783031562815

Human-AI collaboration in industrial manufacturing promises to overcome current limitations by combining the flexibility of human intelligence and the scaling and processing capabilities of machine intelligence. To ensure effective collaboration between human and AI team members, we envision a software-driven coordination mechanism that orchestrates the interactions between the participants in Human-AI teaming scenarios and help to synchronize the information flow between them. A structured process-oriented approach to systems engineering aims at generalizability, deployment efficiency and enhancing the quality of the resulting software by formalizing the human-AI interaction as a BPMN process model. During runtime, this process model is executed by the teaming engine, one of the core components of the *** software platform. By incorporating dynamic execution traces of these process models into a knowledge graph structure and linking them to contextual background knowledge, we facilitate the monitoring of variations in process executions and inference of new insights during runtime. Knowledge graphs are a powerful tool for semantic integration of diverse data, thereby significantly improving the data quality, which is still one of the biggest issues in AI-driven software solutions. We present the *** software platform and its key components as a framework for enabling transparent teamwork between humans and AI in industry. We discuss its application in the context of an industrial use case in plastic injection molding production. Overall, this *** platform provides a robust, flexible and accountable solution for human-AI collaboration in manufacturing.

关键词： Industrial Knowledge Graph Process Orchestration Human-AI Collaboration Plastic Injection Molding

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Understanding Capability Progression: A Model for Defining Maturity Levels for Organizational Capabilities 25th

Understanding Capability Progression: A Model for Defining M...

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25th International Working Conference on business Process Modeling, Development, and Support (BPMDS) / 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development (EMMSAD)

作者： Korsten, Ginger Ozkan, Baris Aysolmaz, Banu Mul, Daan Turetken, Oktay Eindhoven Univ Technol De Rondom 70 NL-5612 AP Eindhoven Netherlands

ISBN: (纸本)9783031610066;9783031610073

The pressure for organizations to gain and keep their competitive advantage necessitates continuous assessment and improvement of their capabilities. Maturity modeling has emerged as a management approach to guide organizations in developing and improving their capabilities, following a structured path for improvement within a specific domain. Existing research lacks a theoretically grounded model for defining maturity levels, particularly concerning organizational capabilities. This paper addresses this gap by introducing a model for defining maturity levels for organizational capabilities. Drawing on the Dreyfus model of skill acquisition, the model defines the characteristics of organizational capabilities across six maturity levels. The model is developed following design science research and demonstrated and evaluated in the development of a data analytics maturity model. The findings of the expert survey provided positive evidence regarding the validity, relevance, completeness, clarity, and utility. We emphasize the distinction between capability-based and process-based maturity levels and propose our model as a tool to support the development of capability-based maturity models in various domains.

关键词： Capability Maturity Models Organizational Capabilities Maturity Levels

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Determination of Skilled Worker Requirements for Maintenance Departments Under Stochastic Failure Mode Conditions 11th

Determination of Skilled Worker Requirements for Maintenance...

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11th International Conference on Industrial Engineering and Applications - Europe (ICIEA - Europe)

作者： Sahiner, Sahin Furkan Golbasi, Onur Middle East Tech Univ Dumlupmar Bulvari 1 TR-06800 Ankara Turkiye

ISBN: (纸本)9783031581120;9783031581137

Maintenance within the mining industry is a global challenge, demanding innovative solutions due to its multifaceted nature. The complexity, size, competition, escalating costs, and the need for a proficient workforce present formidable obstacles. This study focuses on optimizing technically skilled worker allocation in the mining industry's maintenance department, developing a continuous-event simulation model. The ever-increasing intricacy of mining equipment necessitates heightened reliability to ensure efficient, continuous production. Adequate maintenance is crucial in this context. The research problem revolves around the critical role of technically skilled workers during maintenance operations, where their absence can lead to delays and operational inefficiencies. Skilled maintenance technicians are indispensable, capable of accurately diagnosing equipment issues, reducing costly breakdowns, and minimizing downtime through preventive maintenance. They also expedite the repair process when required. To address these challenges, our study introduces a continuous event simulation algorithm designed to minimize costs. This algorithm takes into account factors such as production losses and maintenance workforce expenses while maximizing equipment utilization. By doing so, the research contributes to the field by emphasizing the importance of a skilled workforce in mining maintenance, ensuring equipment longevity, performance, and safety. The contribution of this study lies in its practical application of advanced algorithms to optimize technically skilled worker allocation, mitigating operational challenges and highlighting the crucial role of skilled maintenance management in the evolving landscape of mining equipment.

关键词： Optimization Event Simulation Maintenance Workforce

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Resource Optimization in business Processes 25th

Resource Optimization in Business Processes

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作者： Dijkman, Remco Eindhoven Univ Technol Eindhoven Netherlands

ISBN: (纸本)9783031610066;9783031610073

In administrative processes, such as financial or governmental processes, humans typically do most of the work and must be allocated to tasks in an efficient manner. This allocation is made complicated by the different authorizations and the varying effectiveness of people for tasks. Moreover, administrative processes operate under substantial uncertainty, as the customer's journey through the process typically is uncertain upon their arrival. To help solve this problem, we present a framework for resource optimization in administrative processes and delineate its differences from existing resource allocation models. We proceed to show several resource allocation solutions that have been developed with the framework. We specifically address the challenges that are encountered when implementing these solutions, some of which remain unresolved. By doing so we aim to shed light on promising avenues for future research in this domain.

关键词： Resource allocation

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An Ontology-Driven Solution for Capturing Spatial and Temporal Dynamics in Smart Agriculture 18th

An Ontology-Driven Solution for Capturing Spatial and Tempor...

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18th International Conference on Research Challenges in information Sciences (RCIS)

作者： Cornei, Laura Cornei, Doru Fosalau, Cristian Alexandru Ioan Cuza Univ Fac Comp Sci Iasi Romania Gheorghe Asachi Tech Univ Fac Elect Engn Iasi Romania

ISBN: (纸本)9783031594649;9783031594656

Semantic web technologies have been frequently used in smart agriculture systems to address integration and interoperability issues, while enhancing expressiveness through their automatic reasoning capabilities. Despite continuous advancements in the field, there is no existent ontology capable of providing a comprehensive representation of the spatial and temporal knowledge, essential in the context of smart farming. In this paper we propose such a model, pass it through a rigorous validation and verification process, and employ it as a representational layer in an IoT agricultural application. The resulting system utilizes real-world high-quality information to offer various functionalities, including crop health monitoring and disease risk forecasting. This work opens a new perspective regarding the development of smart farming applications, by enabling ontological models to fully exploit the spatial and temporal dimensions of agricultural information.

关键词： Ontology Knowledge Base Time Series Forecasting IoT

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A Decision Support Tool for Paratransit Systems Planning 10th

A Decision Support Tool for Paratransit Systems Planning

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10th International Conference on Decision Support Systems Technologies (ICDSST)

作者： Oliveira, Vitor Sobral, Thiago Telhada, Jose Carvalho, Maria do Sameiro Univ Minho Braga Portugal Univ Porto Fac Engn Porto Portugal Univ Minho Dept Prod & Syst Engn Braga Portugal

ISBN: (纸本)9783031593758;9783031593765

Paratransit systems are designed to cater to individuals with reduced mobility, and have played a pivotal role in providing essential mobility and accessibility for those who often encounter challenges with conventional public transport. These systems rely on flexible transport, and are characterised by their high configurability and uncertainty stemming from factors such as low demand, complexity, and the specific mobility needs of the targeted group. Unfortunately, some of these systems have encountered failures due to structural and parameterisation errors. This paper proposes a Decision Support System (DSS) to support the strategic and tactical decisions of conception and design of paratransit systems, as well as to support operational management. This system aims to integrate the interests of different stakeholders during the decision-making process in order to obtain more robust solutions. Particular focus is given to a segment of the DSS that interfaces with operational management and simulation components. This integration facilitates the assessment and comparison of alternative scenarios, utilizing diverse criteria to achieve the most suitable parameterisation and comprehend the associated risks tied to specific decisions. The tool provides assistance across various decision-making scenarios, and within this context, we will scrutinize its efficacy in identifying and comprehending the impacts of varying time window sizes on the systems' performance. The outcomes of these analyses underscore the significance of contemplating diverse parameters in decisions related to mobility. The tool provides valuable insights, enabling better alignment with genuine needs, and ensuring that devised solutions align with user preferences.

关键词： Decision Support Tool Paratransit systems Demand responsive transport Persons with Reduced Mobility

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Perspectives of Merchants Regarding Bitcoin's Role as a Currency and Its Utility as a Payment System 20th

Perspectives of Merchants Regarding Bitcoin's Role as a Curr...

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20th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Gutsche, Alex Louca, Soulla Univ Nicosia CY-1700 Nicosia Cyprus

ISBN: (纸本)9783031564772;9783031564789

In the last decade, Bitcoin has transformed from an experimental asset into a global store of value, emerging as a viable alternative to traditional finance. This study explores Bitcoin adoption among merchants in Panajachel (Guatemala), El Zonte (El Salvador), and Uvita (Costa Rica). Quantitative research gathered insights from 64 respondents, revealing that 64% of merchants believed they attracted more customers due to Bitcoin acceptance. Usage of Bitcoin earnings varied, with 44% holding it as an asset and 27% converting it to fiat. Additionally, 67% found Bitcoin easier than credit cards. The analysis was guided by the Technology Acceptance Model and the Diffusion of Innovations theory, focusing on perceived utility, ease of use, market advantage, and compatibility. This research highlights the value of localized studies in understanding Bitcoin's adoption, offering valuable insights for policymakers and businesses. It sheds light on Bitcoin's dual role as both a currency and a payment system, enabling users to transact outside of traditional finance.

关键词： Bitcoin Payment System

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