Publications associées à Extending Business Process Models with Appreciation

Oligolithic Cross-task Optimizations across Isolated Workloads

Anastasia Ailamaki, Panagiotis Sioulas, Eleni Zapridou

Enterprises collect data in large volumes and leverage them to drive numerous concurrent decisions and business processes. Their teams deploy multiple applications that often operate concurrently on the same data and infrastructure but have widely differen ...

2024

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be consider ...

Pergamon-Elsevier Science Ltd2024

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

Devis Tuia, Corinna Barbara Frank, Marc Conrad Russwurm

The governing hydrological processes are expected to shift under climate change in the alpine regions of Switzerland. This raises the need for more adaptive and accurate methods to estimate river flow. In high-altitude catchments influenced by snow and gla ...

2023

How Words Move Hearts: Interpretable Machine Learning Models of Bias, Engagement, and Influence in Socio-Political Systems

Aswin Suresh

We study socio-political systems in representative democracies. Motivated by problems that affect the proper functioning of the system, we build computational methods to answer research questions regarding the phenomena occurring in them. For each phenomen ...

EPFL2023

A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance

Jingjing Chen, Jinzhi Lu

Supply Chain Finance (SCF) refers to the financial service in which banks rely on core enterprises to manage the capital flow and logistics of upstream and downstream enterprises. SCF adopts a self-testing and closed-loop credit model to control funds and ...

KEAI PUBLISHING LTD2022

Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments

Peter Molnar, Silvan Ragettli, Olga Fink, Yi Zhang

Flood prediction in ungauged catchments is usually conducted by hydrological models that are parameterized based on nearby and similar gauged catchments. As an alternative to this process-based modelling, deep learning (DL) models have demonstrated their a ...

ELSEVIER2022

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Daniel Keller

Modeling in neuroscience occurs at the intersection of different points of view and approaches. Typically, hypothesis-driven modeling brings a question into focus so that a model is constructed to investigate a specific hypothesis about how the system work ...

2022

A comprehensive review of digital twin - part 1: modeling and twinning enabling technologies

Sayan Ghosh, Chao Hu, Olga Fink

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by comprehensively mo ...

SPRINGER2022

Wind-Topo_Model

Michael Lehning, Jérôme François Sylvain Dujardin

Model and Data: Dujardin, J.; Lehning, M. Wind-Topo_model. EnviDat 2022 ...

Zenodo2022

Model-based Systems Engineering Papers Analysis based on Word Cloud Visualization

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

With the continuous improvement of system scale and complexity, model-based system engineering (MBSE) is of great importance in the practice of system engineering (SE). MBSE has been widely concerned in industry, especially in the field of complex equipmen ...

IEEE2022

On the Application of Small-Scale Turbines in Industrial Steam Networks

Jürg Alexander Schiffmann, Ansgar Weickgenannt, François Maréchal, Ivan Daniel Kantor

This study investigates the technical and economic feasibility of replacing throttling valves with smale-scale, oil-free turbomachinery in industrial steam networks. This is done from the perspective of the turbomachine, which has to be integrated into a n ...

2021

Exploring policy change through agent-based simulation

Raphaël Klein

Policymaking is a complex process that has been studied using policy process theories almost exclusively. These theories have been built using a large number of qualitative cases. Such methods are useful for theory building but remain limited for theory ex ...

EPFL2021

Design Ontology Supporting Model-Based Systems Engineering Formalisms

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng, Han Li

Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalism of system architectures for supporting model-based requirement elicitation, specification, design, deve ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

OMiLAB: A Smart Innovation Environment for Digital Engineers

Dimitrios Kyritsis

This position paper introduces a Smart Innovation Environment for experimentation related to digital transformation projects, for the consolidation of a proposed "Digital Engineer" skill profile (with a business-oriented facet labelled as "Digital Innovato ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

Deep Domain Adaptation in Earth Observation

Devis Tuia, Nicolas Courty, Benjamin Alexander Kellenberger

When applied to new datasets, acquired at different time moments, with different sensors or under different acquisition conditions, deep learning models might fail spectacularly. This is because they have learned from the data distribution observed during ...

Wiley2021

The Industrialization of Astronomical Instrumentation: An Industrial Systems and Process Engineering Perspective

Mohamed Bouri, Luzius Gregor Kronig, Jean-Paul Richard Kneib, Loïc Grossen, Ricardo Jorge Araùjo Pereira

The Sloan Digital Sky Survey V (SDSS-V) is an all-sky spectroscopic survey of > 6 million objects, designed to decode the history of the Milky Way, reveal the inner workings of stars, investigate the origin of solar systems, and track the growth of superma ...

SPIE-INT SOC OPTICAL ENGINEERING2020

Problem structuring to enable innovation in business/IT projects

Alain Wegmann, Gil Regev, Tatiana Porté

In this paper, we present a problem structuring method in business and IT analysis illustrated with an example. The project describes an IT consulting case done for a Swiss medical society faced with a problem of change management and digital transformatio ...

LUT Scientific and Expertise Publications2020

The shaping effects of innovation and technology: from micro business model evolution to macro environment sustainability

Qinli Lu

Innovation is a prerequisite guarantee for the development of a country in this new era. It is an important driver not just for corporate growth but also for national social and economic transformation. Considering the strategic supporting role of innovati ...

EPFL2020

A Novel Approach to Modeling Enterprise Services Leveraging Object Cloning and Multilevel Classification

Alain Wegmann, Lam Son Lê

Object-oriented modeling is concerned with capturing common properties of objects. The dominant thinking in this realm is to classify objects that share certain properties into what is called a class, which in turn enables us to instantiate additional obje ...

IEEE2019

New approaches for track reconstruction in LHCb's Vertex Locator

Sébastien Ponce, Victor Coco

Starting with Upgrade 1 in 2021, LHCb will move to a purely software-based trigger system. Therefore, the new trigger strategy is to process events at the full rate of 30MHz. Given that the increase of CPU performance has slowed down in recent years, the p ...

E D P SCIENCES2019