Proceedings of the 19th CIAO! Doctoral Consortium, Enterprise Engineering Working Conference Forum 2019, and Enterprise Engineering Working Conference Posters 2019

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Proceedings of the 19th CIAO! Doctoral Consortium, Enterprise Engineering Working Conference Forum 2019, and Enterprise Engineering Working Conference Posters 2019

CEUR Workshop Proceedings, 2019.

Academic editor: S. Guerreiro, P. Sousa, D. Aveiro, G. Guizzardi, J. Borbinha, R. Winter

This book constitutes the CEUR proceedings of the (a) 19th CIAO! Doctoral Consortium (19th CIAO! DC), (b) Enterprise Engineering Working Conference Forum 2019 (EEWC Forum 2019) and (c) Enterprise Engineering Working Conference Posters 2019 (EEWC Posters 2019), held in conjunction with the 9th Enterprise Engineering Working Conference (EEWC2019), in Lisbon, Portugal, between May 20th and 24th, 2019. The Enterprise Engineering Working Conference addresses the emerging field of Enterprise Engineering (EE), having as goal to gather academics and practitioners in order to share innovative research issues and practical experiences, mixing rigour and relevance, and to facilitate profound discussions on the domain of Enterprise Ontology, Normalized Systems, Foundational Ontologies, Enterprise Interoperability, Standards and Policies in various sectors/domains, and other Enterprise Engineering topics. One of the ways to involve researchers and practitioners is to organize complementary events to the main conference. These complementary events provide an additional opportunity to promote discussion in EE field regarding new emerging themes that are being researched. In addition, it integrates EE community with industrial initiatives, increasing the academic and industry collaboration. This year event was also indelibly registered by the forthcoming farewell lecture of the Professor José Manuel Nunes Salvador Tribolet that will occur in the end of 2019. We remember his vast contribution to the development of EE discipline and to the support to this community. This volume contains (a) three papers from EEWC Forum 2019 where two papers explore Blockchain integrated with cases in health care and Insurance and one is related with business processes in the Atlas tool, (b) two papers from 19th CIAO! DC where two PhD students presented their current stage of research and received feedback for future steps, and (c) three posters from EEWC 2019 that were presented in a special session only devoted to this matter. Finally, we thank all the participants, the authors and the reviewers for their contributions to these EEWC collocated events and hope that you find this proceeding useful to further explore the Enterprise Engineering challenges.

Blockchain As A Tool For Effective Value Co-Creation Strategy Realization: An Application to An Insurance Case

Babkin E., Malyzhenkov P. V., Pakhomova K., , in: Proceedings of the 19th CIAO! Doctoral Consortium, Enterprise Engineering Working Conference Forum 2019, and Enterprise Engineering Working Conference Posters 2019.: CEUR Workshop Proceedings, 2019. Ch. 1 P. 1–8.

Value co-creation is a new notion in contemporary business practice, which is now also becoming one of the key marketing concepts. The success of the value co-creation strategy is based on the DART (dialogue, access, risk-benefits and transparency) concept which is emerging as the basis for interaction between the consumer and the firm. Distributed ledger ...

Added: January 22, 2020

Research target: Computer Science

Priority areas: business informatics

Language: English

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Keywords: enterprise architecture архитектура предприятия

Proceedings of the 19th CIAO! Doctoral Consortium, Enterprise Engineering Working Conference Forum 2019, and Enterprise Engineering Working Conference Posters 2019

Proceedings of the 11th Workshop on Automated Knowledge Base Construction (AKBC 2026)

[б.и.], 2026.

While Large Language Models (LLMs) have revolutionized NLP, they remain prone to hallucinations, reasoning “mode-collapse” in open-ended generation, and a lack of factual provenance. The Automated Knowledge Base Construction (AKBC) workshop addresses a key missing piece of the generative era: structured knowledge. Knowledge Bases (KBs) serve as ground truth for fact verification, the semantic backbone ...

Added: October 28, 2026

Molecular dynamics and machine learning insights into oil-brine interfacial tension: Uncovering roles of dissolved gases and salinity

Nikitiuk B., Lenev D., Pisarev V. et al., Journal of Colloid and Interface Science 2026 Vol. 718 Article 140444

Hypothesis:Accurate determination of interfacial tension values is crucial for many modeling applications in the oil and gas industry. However, many of the presently used empirical and theoretical models show poor prediction accuracy and do not allow for direct consideration of the concentrations of gases and salts dissolved in the system as well as the specific ...

Added: October 28, 2026

Predicting multi-component oil viscosity using machine learning methods

Deshchenya V., Nikolay D. Kondratyuk, Sivakova A. et al., Chemical Engineering Sciences 2027 Vol. 337 Article 124616

Accurate prediction of complex formulation viscosity is crucial for the lubricant industry and engineering processes. However, developing generalizable models remains challenging due to the complexity of industrial mixtures and the scarcity of public experimental data, often resulting from corporate proprietary restrictions. This study presents a machine-learning workflow for viscosity estimation from a proprietary pseudonymized dataset, ...

Added: October 28, 2026

PARSE: Physical attribute representativity and stationarity evaluator open-source library for 3D images using scalar and vector metrics

Zubov A., Zubov A., Малявко, Я. et al., Computer Physics Communications 2025 Vol. 317 Article 109860

The concept of representative volume (REV, or RVE in material sciences) is the cornerstone of continuum scale models – one needs to get the volume big enough so that it could be represented with an averaged value (scalar, vector or tensorial, etc.). While REV should be established in all larger scale simulations, this is rarely ...

Added: October 28, 2026

Amplifying Latent Safety in Large Language Models via Gated Activation Steering

Roman Prosvirnin, Suslov A., Aleksei Soldatov et al., Computation 2026 Vol. 14 No. 10 Article 261

Abstract Safety-aligned language models often encode that a request is harmful yet still comply with it. We turn this gap between internal recognition and observable behavior into an inference-time defense. The proposed activation-steering method uses a multiplicative operator that amplifies the residual-stream component along a harm-recognition direction. Intervention strength scales with the model’s own assessment of ...

Added: October 27, 2026

PACTraD: Multi-Task Benchmark and Domain-Specific Attention Mechanism for Wildlife Classification, Detection, and Segmentation in Protected Area Camera Trap Data

Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Big Data and Cognitive Computing 2026 Vol. 10 No. 11 P. 1–52

Camera traps are a key tool for non-invasive wildlife monitoring, yet models trained on existing benchmarks often generalize poorly to new regions due to domain shift, class imbalance, and natural variability in illumination, season, and background. We introduce PACTraD, a benchmark of 116,973 annotated camera trap images collected in a protected area of the Baikal ...

Added: October 27, 2026

2026 10th Scientific School Dynamics of Complex Networks and their Applications

IEEE, 2026.

Proceedings of the X Scientific School "Dynamics of Complex Networks and their Applications" (DCNA'2026) contain papers of reports of scientists and specialists in the field of intelligent technologies, engineering education, research and design of complex networks. DCNA'2026 was held from 10 to 12 September 2026 in Moscow, Russia, as a part of the International Forum on Artificial Intelligence and ...

Added: October 26, 2026

A Curated Dataset for Chemical Characterization of Heated Tobacco Product Aerosol

Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Scientific data 2026 P. 1–20

We addressed the task of chemical characterization of the aerosol emitted by heated tobacco products (HTPs) and of the smoke emitted by conventional/commercial cigarettes, usually adopted as a reference. Emphasis was placed on quantifying constituents for enabling the identification of novel compounds through targeted and untargeted analyses, and the evaluation of reductions in toxicant exposure under ...

Added: October 26, 2026

A Multi-Feature Fusion Deep Neural Network with Attention for Multi-Task Crop Monitoring

Obsie E. Y., Zhan Y., Liu Y., Engineering Research Express 2026 Article 7

Maintaining plant health is crucial for crop quality, food security, and agricultural productivity. Although deep learning methods have shown strong potential for species, disease, and severity classification, most existing approaches tackle these tasks separately, failing to exploit shared representations and interdependencies among them. Furthermore, the variability of disease symptoms, such as subtle differences in size, ...

Added: October 22, 2026

A Neural Network Approach for Generating Libration Point Orbits

Lev Pyatko, Sergey Aksenov, Regular and Chaotic Dynamics 2026 Vol. 31 No. 5 P. 794–813

In the circular restricted three-body problem, families of periodic and quasi-periodic orbits exist in the vicinity of the libration points and are of significant interest for practical applications. This work presents a neural network-based algorithm for orbit construction and station-keeping, applicable to both periodic and quasi-periodic orbits near collinear libration points. The method employs a ...

Added: October 19, 2026

Основы теории информации

Vorontsova T., М.: Академия, 2025.

The textbook has been prepared in accordance with the requirements of the federal state educational standards for secondary vocational education and is intended for studying the professional modules “Information Security in Information and Telecommunication Systems and Networks Using Software and Hardware‑Software Tools, Including Cryptographic Protection Tools” and “Information Security in Automated Systems Using Software and ...

Added: October 19, 2026

A Reproducible Microscopy Acquisition Pipeline and Microscopy-Aware Attention for Classification, Detection, and Segmentation of Microorganisms

Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 10 Article 330

Automated microscopic image analysis is essential for quantitative microbiology, yet manual acquisition and generic recognition models struggle with morphological variability and scene artifacts. We address both ends of this pipeline. First, we present a low-cost, open-source acquisition system, based on an Arduino UNO R3 microcontroller and NEMA 17 stepper motors, that automates focusing, magnification, and ...

Added: October 14, 2026

Studies in Computational Intelligence

Springer, 2026.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIV International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2025). The carefully selected papers cover ...

Added: October 13, 2026

Proceedings of the 3rd International Conference on Sustainability: Developments and Innovations. Proceedings of ICSDI 2026, Volume 4. Lecture Notes in Civil Engineering (LNCE, volume 886)

Springer, 2026.

This book offers a comprehensive overview of the latest research, innovations, and practical applications in the field of sustainability, with a focus on construction materials and their use in building and civil engineering structures. As an outcome of the 3rd International Conference on Sustainability: Developments and Innovations (ICSDI 2026), this book presents a selection of ...

Added: October 13, 2026

Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network

Dmitriev A., Kornilov V., Batienkov R., Lecture Notes in Civil Engineering 2026 Vol. 886 P. 249–255

Numerous studies have provided compelling evidence that the probability distribution of avalanche sizes follows a power law, and that 1/f noise is present in the stochastic dynamics of landslides. We present a theoretical explanation of these phenomena within the framework of self-organized criticality theory, proposing a discrete-time model in the form of a sandpile cellular ...

Added: October 13, 2026

Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network

Dmitriev A., Shulman I., Lebedev A., Studies in Computational Intelligence 2026 Vol. 1265 P. 266–273

A discrete-time model is presented for the self-organization of the X/Twitter social network to the edge of a phase transition, characterized by avalanche-like propagation of information in the network. The model is based on the analogy between the critical dynamics of the X social network and sandpile cellular automata with Manna rule on the Chung-Lu ...

Added: October 13, 2026

When universal machine learning models fail in capacitance prediction for carbon-based supercapacitors: Leakage-aware validation and electrolyte screening

Makarov D. M., Kalikin N., Fashchevsky K. A. et al., Electrochimica Acta 2026 Vol. 579 Article 150159

Machine learning (ML) has become a powerful tool for accelerating the development of carbon-based supercapacitors; however, most published models assume that a single predictive framework can describe both conventional porous carbons and hybrid carbon electrodes. Here, we test this assumption using a comprehensive benchmark dataset and an extended literature-curated dataset enriched with synthesis- and electrolyte-related descriptors. Three ML algorithms ...

Added: October 13, 2026

LiteKV: A KV cache compression method for efficient inference on resource-constrained devices

Zhang Z., Ilvovsky D., Information Processing and Management 2026 Vol. 63 No. 7

Transformer-based Large Language Models (LLMs) rely on Key-Value (KV) cache to accelerate autoregressive decoding, but memory and compute requirements still grow with context length, limiting deployment on resource-constrained devices. Existing training-free KV cache compression methods mainly rely on attention-driven retention heuristics, which may under preserve structurally informative tokens under tight cache budgets, especially when such ...

Added: October 13, 2026

No Species Is an Island, Entire of Itself: Genetic Speciation Algorithm with Interplay among Species

Gromov V., Sohrabi M., Fathollahi-Fard A., International Journal of Engineering, Transactions B: Applications 2027 Vol. 40 No. 5 P. 1437–1460

This paper, with a particular emphasis on Genetic Algorithm (GA), proposes a novel approach that integrates clustering mechanisms, predator-prey dynamics, and a distinctive selection strategy for generating subsequent populations. The proposed evolutionary algorithm, referred to as Genetic Speciation Algorithm with Interplay Among Species (GSAIS), is comprehensively evaluated against several variants of GAs as well as ...

Added: October 12, 2026

JavaCapsule: Итеративная генерация и отладка Java-кода на основе структурированной обратной связи

Alexandrov D., Vasilevsky V., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 5 С. 73–90

Large language models demonstrate limitations in tasks that require precise information retrieval from very long input sequences. This limitation affects code generation in large object-oriented systems, where correctness depends on complex inter-class dependencies and the analysis of long execution traces that exceed standard context window sizes. This paper presents JavaCapsule, a technology for automated generation ...

Added: October 12, 2026

Proceedings of the 34th IUPAP Conference on Computational Physics: CCP2023, August 4-8, Kobe, Japan

Singapore: Springer, 2026.

This volume presents the Proceedings of the 34th IUPAP Conference on Computational Physics (CCP2023), held in Kobe, Japan on August 4–8, 2023. It offers a collection of peer-reviewed articles that highlight recent developments in computational and simulation research across various areas of physics. Key topics include the use of data science, quantum computing, and machine ...

Added: October 12, 2026

Оценка моделей LLM по степени готовности решать задачи управления в области ESG

Storchevoy M., Mylnikov L., Чернышев В. В. et al., / SSRN. Серия "Working Papers". 2025.

Внимание к охране природы принимает все большую значимость для бизнеса с одной стороны в связи с ужесточением в природоохранном законодательстве, а с другой в связи с использованием ESG рейтингов при принятии решений о коммерческой деятельности компаний. Составление рейтинга LLM систем, способных оказывать консультационные услуги в области природоохраны и ESG, позволяет осуществить выбор такой системы для ...

Added: September 18, 2025

Causal Estimands for Policy Evaluation and Beyond

Sokolov B., / Series OSF "SocArXiv". 2025.

This paper reviews various estimands used in modern scientific and applied research to operationalize causal inquiries within the Rubin Causal Model framework. I first introduce the most widely utilized average treatment effects, such as ATE, ATT, and ATC. I then describe their popular extensions, including those targeting local and conditional treatment effects; causal interactions and mediation; effects ...

Added: May 6, 2025

Cultural characteristics of Digital Ecosystem Product Teams and Operational Efficiency

Ovanesova Y., Moshiashvili M. M., Типсина Н. О., / Series "Working Papers". 2021.

The purpose of this article is to analyze and evaluate the cultural characteristics of the digital ecosystem product teams leaders and operational efficiency. Using binary choice models (the main conclusions were made on the basis of logit regressions), has been found a significant negative relationship between the probability of achieving business goals by a team ...

Added: February 17, 2025