
Jivka OvtcharovaKarlsruhe Institute of Technology | KIT · Institute of Information Management in Engineering
Jivka Ovtcharova
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186
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Publications (186)
The democratization of artificial intelligence (AI) technology is rapidly progressing and becoming an integral functional part of systems in diverse domains. To maximize the utility of AI in such contexts, ensuring its robustness is of critical significance. The research field of concept drift adaptation (CDA) focuses on the development of strategi...
This study introduces a comprehensive knowledge graph (KG)-based framework designed to support sustainable decision-making by integrating, enriching, and analyzing heterogeneous data sources. The proposed methodology leverages domain expertise, real-world data, and synthetic data generated through language models to address challenges in life cycle...
The industrial domain is characterized by many regression problems. Machine learning (ML) solutions to such problems that perform well and are robust against concept drift (CD) under real-world conditions are scarce. This paper proposes a novel model-agnostic method for ensembles, inspired by principles from evolutionary biology. It leverages these...
This paper introduces the Integrated Sustainability Software Performance Framework, an innovative model that links sustainability to software development by strategically aligning ecological, economic, and social dimensions with software development. The framework adopts a 3 × 3 × 5 cube structure, aligning the dimensions of Ecology, Economy, and S...
In the evolving landscape of engineering collaboration, Extended Reality (XR) demonstrates transformative potential for transdisciplinary work. XR approaches are promising in enhancing flexibility and efficiency in diverse, global work settings by facilitating remote and asynchronous collaboration. This paper introduces XR methods designed to addre...
Intelligent products and the associated value creation form the basis for employment and prosperity in modern industrial societies. A central challenge lies in managing the increasing product and process complexity due to the far-reaching effects of several factors such as globalization, customer orientation, shortened product life cycles, and grow...
This study aims to explore the application of artificial intelligence (AI) in the resolution of sustainability challenges, with a specific focus on environmental studies. Given the rapidly evolving nature of this field, there is an urgent need for more frequent and dynamic reviews to keep pace with the innovative applications of AI. Through a syste...
Feedback control systems utilized in car body construction cause process time variance when compensating for external disturbances. By considering these in robotic assembly line balancing, the risk of cycle time violations can be controlled. This requires knowledge of the underlying process time distributions, which are not known in advance. Theref...
Zusammenfassung
Die Qualitätssicherung ist ein überaus zentrales Thema in der Fertigungsindustrie, da sie unmittelbar mit der Produktqualität und der Kundenzufriedenheit zusammenhängt. Fortschritte in Algorithmen und modernen Kommunikationstechnologien im Kontext von Industrie 4.0 haben dazu beigetragen, dass traditionelle Fertigungsindustrien Deep...
Engineering education at the Institute for Information Management in Engineering integrates product lifecycle management (PLM), computer‐aided design (CAD), eXtended reality (XR), and artificial intelligence (AI) to enhance learning and prepare students for modern challenges. Our interdisciplinary approach, emphasizing digital twins and virtual twi...
Understanding user-level energy demand is pivotal for sustainable development and smart grid implementation, as it facilitates optimal resource allocation and energy conservation. Traditional machine learning models, however, often ignored the potential connections between users, limiting comprehension of user-level energy demands. Capturing behavi...
Sustainability has become a critical global concern, focusing on key environmental goals such as achieving net-zero emissions by 2050, reducing waste, and increasing the use of recycled materials in products. These efforts often involve companies striving to minimize their carbon footprints and enhance resource efficiency. Artificial intelligence (...
With increasing computing power and hardware diffusion, the number of possible use cases for Extended Reality (XR) in the business environment is increasing. Not least, due to globalization, the relevance of new forms of collaboration have furthermore gained relevance. This paper, therefore, investigates which different forms of collaboration are e...
Anomalies in dynamical systems mostly occur as deviations between measurement and prediction. Current anomaly detection methods in multivariate time series often require prior clustering, training data, or cannot distinguish local and global anomalies. Furthermore, no generalized metric exists to evaluate and compare different prediction functions...
This work is a re-investigation of the concept and developed tools for the modeling approach called, Abstract Layered PASS (ALPS). The paper investigates the details of what is actually two separated extensions to the classical subject-oriented modeling approach with the Parallel Activity Specification Shema (PASS). One is the concept of Layered PA...
Platform economy is well established in the business to customer domain. However, digital platforms are lacking in the business to business realm, especially for SMEs. This work presents a way to create a common frame of reference, that is inevitably needed to efficiently design a digital platform. Following the principles of a Design Thinking appr...
Intelligente Produkte und die damit verbundene Wertschöpfung bilden die Basis für Beschäftigung und Wohlstand moderner Industriegesellschaften. Eine zentrale Herausforderung liegt dabei in der Bewältigung der zunehmenden Produkt- und Prozesskomplexität infolge der weitreichenden Auswirkungen mehrerer Faktoren wie Globalisierung, Kundenorientierung,...
To improve cycle time planning in the automotive Body-In-White manufacturing, a better understanding of the adaptive controller's decision as well as the causes for a prolongation of resistance spot welding times is necessary. Thus, we propose an analysis using Random Forest to create a design recovery to increase the understanding of proprietary s...
Collaborative Virtual Environments (CVEs) have recently become more prominent in academic research and industrial applications. Physical tasks often rely on sharing spatial information between the collaborators, which are difficult to communicate verbally or by 2D media. Immersive technologies, like Mixed Reality (MR), can support more natural and...
The working environment is constantly changing and companies face the challenge of adapting to new and constantly changing customer requirements. Employees are faced with the challenge of identifying and learning new, helpful technologies and using them in order to achieve efficiency gains and increase productivity. This article addresses the three...
The way humans work is constantly changing. This has always been the case, especially in dynamic environments. In the context of Industry 4.0 and the Internet of Things (IoT), collaborative platforms, accelerated by Artificial Intelligence (AI) technologies, give rise to new automation opportunities of complex and previously labor-intensive tasks,...
Digital transformation facilitates new methods for remote collaboration while shaping a new understanding of working together. In this chapter, we consider global collaboration in the context of digital transformation, discuss the role of Collaborative Virtual Environments (CVEs) within the transformation process, present an overview of the state o...
This paper proposes to analyse user experience using two different immersive device categories: a cave automatic virtual environment (CAVE) and a head-mounted display (HMD). While most past studies focused on one of these devices to characterize user experience, we propose to fill the gap in comparative studies by conducting investigations using bo...
Robotic Process Automation sind sogenannte Softwareroboter zur Automatisierung manueller Geschäftsprozesse am
Computer. In Verbindung mit Künstlicher Intelligenz (KI) können Softwareroboter einen wertvollen Beitrag leisten, um
Mitarbeiter von monotonen und repetitiven Tätigkeiten am Computer zu entlasten.
Conversational AI in the form of chatbots is likely to play an important role in modern business processes. In this paper a taxonomy was developed presenting which connections can be drawn between the domain of subject-oriented business process management (S-BPM) and Conversational AI - and whether they are valuable. This taxonomy consists of three...
This work presents best practices for creating business process models with the existing process modeling notation PASS - the Parallel Activity Specification Scheme. The modeling techniques are shown with regard to the business process model of a small German enterprise which was used as a case study. It’s processes have been recorded, analyzed and...
Recent significant progress in Virtual Reality (VR) applications and environments raised several challenges. They proved to have side effects on specific users, thus reducing the usability of the VR technology in some critical domains, such as flight and car simulators. One of the common side effects is cybersickness. Some significant commonly repo...
As an important stage of life cycle management, machinery PHM (prognostics and health management), an emerging subject in mechanical engineering, has seen a huge amount of research. Here the authors present a comprehensive overview that details previous and current efforts in PHM from an industrial big data perspective. The authors first analyze th...
Die Technologie Robotic Process Automation (RPA) bietet Unternehmen und Verwaltungen einen wichtigen Baustein, ihre Prozesse schnell zu automatisieren, Angestellte von repetitiven Routineaufgaben zu entlasten und die Qualität in den Prozessen zu steigern. Gerade Prozesse mit Schnittstellen zu und Daten von ERP-Systemen lassen sich in der Praxis mit...
Research in Collaborative Virtual Environments (CVEs) is becoming more and more significant with increasing accessibility of Virtual Reality (VR) and Augmented Reality (AR) technology, additionally reinforced by the increasing demand for remote collaboration groupware. While the research is focusing on methods for synchronous remote collaboration,...
The term “Digital Twin” is used in context of a wide range of applications but neither research nor industry have agreed upon one singular definition. Presented here is a novel and formal, subject-oriented reference model for Digital Twin systems that does not focus on technical architectural concepts or particular implementation specific details,...
Although many scientists strongly focus on anomaly detection in different applications and domains, there currently exists no universally accepted definition of anomalies and outliers. Using an approach based on control theory and dynamical systems, as well as a definition for anomalies as described by philosophy of science, the authors propose a g...
Although anomaly detection is an important task in engineering, in the practical application it is often unclear what an anomaly is and how it affects the planning and oper-ation of complex manufacturing systems. The authors propose a definition of “scientific” anomalies by an approach based on philosophy of science. The idea is to separate measure...
In manufacturing companies, especially in small and medium enterprises (SME) in the make-to-order domain, predicting accurate lead times for highly customisable products poses a challenge. One avenue to tackle this challenge is using machine learning to create data-driven models. With the advent of Automated Machine Learning (AutoML), there is a po...
Wind turbines are being designed with increasingly sophisticated electrical and mechanical components, leading to more complicated maintenance procedures and higher failure costs. Much of the research in this area has provided reliable early warning of wind turbine failures in an effort to reduce downtime and maintenance costs. Recently, data-drive...
(Note: this research has been accepted and published in an extended form with additional concept and model derivates. Link: https://www.researchgate.net/publication/362589049_A_subject-oriented_reference_model_for_Digital_Twins )
The interest in the concept called "Digital Twin" is ever-growing. However, the term is used in context of a wide range...
Robotic Process Automation (RPA) is a software solution which takes over time-consuming, repetitive, rule-based, and monotonous manual tasks from employees and frees up their capacity for creative and value-adding tasks. Nowadays, customers ask for individualized products; the number of product variants is therefore constantly increasing. In additi...
Understanding urban demand profiles is an important determinant for energy dispatch and the optimization of the electric energy supply. For the design of the energy supply system, an important consideration is, to express the characteristics of urban household energy demand as a function of space and time. However, the focus of most research activi...
Immersive technology enables the creation of virtual working environments for geographically distant team members to meet up and work simultaneously on highly interactive tasks. This paper presents our method for the real-time synchronization of distributed systems sharing a virtual 3D scene. Therefore, we extended the OpenSG scene-graph library, w...
Forecasting energy demand of residential buildings plays an important role in the operation of smart cities, as it forms the basis for decision-making in the planning and operation of urban energy systems. Deep learning algorithms are commonly used to reliably predict potential energy usage since they can overcome the issue of dependency on long-di...
Artificial Intelligence (AI) is one of the trendsetting technologies of this time. Consequently, a growing number of people from various domains and backgrounds need to be empowered to understand, evaluate and utilize AI capabilities correctly. Therefore, diverse and novel means to properly describe AI-related methods and technologies as well as to...
There have been many studies about how individual differences can affect users' susceptibility to cybersickness in a VR application. However, the lack of strategy to integrate the influence of each factor on cybersickness makes it difficult to utilize the results of existing research. Based on the fuzzy logic theory that can represent the effect of...
Die Nachfrage nach flexiblen robotikbetriebenen Bearbeitungszellen wächst als Reaktion auf den Fachkräftemangel. Jedoch ist die Integration dieser Systeme in die eigene Produktion sehr aufwändig. Aus diesem Grund wurde ein Framework entwickelt, welches eine durchgängige Prozesskette zwischen Planung und Ausführung sowie der automatisierten Integrat...
Zusammenfassung
Im täglichen Stadtbetrieb sollte die Stromversorgung unterbrechungsfrei sein, was das moderne Energiemanagement vor Herausforderungen stellt. Die Prognose des Energiebedarfs kann die Strategie des Energiemanagements optimieren und die Energieeffizienz verbessern. Das traditionelle LSTM-Modell, das auf einer Codierungs-Decodierungs-S...
Many Small and Medium Enterprises in the domain of Make-To-Order- and Small-Series-Production struggle with accurately predicting lead times of highly customisable orders. This paper investigates an approach using AutoML integrated into existing enterprise systems in order to enable Lead Time Prediction based on Machine Learning models. This predic...
Requirements form the legal basis for many development pro-jects. They are usually exchanged between customer and supplier in the form of product and requirements specifications and re-quire a subsequent integration effort into the corresponding requirements management solutions. Especially for small and medium-sized enterprises (SME), which mainly...
Value Stream Analysis (VSA) is an important tool to assess areas of improvement in manufacturing according to lean principles. Prior research conjectured the hypothesis, that it is possible to use tools from the S-BPM context for this task. This work follows up on this hypothesis and investigates the possibilities to execute value stream mapping us...
Value Stream Analysis (VSA) is an important tool to assess areas of improvement in manufacturing according to lean principles. Prior research conjectured the hypothesis, that it is possible to use tools from the S-BPM context for this task. This work follows up on this hypothesis and investigates the possibilities to execute value stream mapping us...
The Job Shop Scheduling problem is critical in the manufacturing industry. At present, the decision tree reasoning technique and data mining are often used in multi-objective optimization research to solve flexible job shop scheduling issues. Unfortunately, when job shop scheduling problems involve complex logic, it becomes difficult to implement d...
Zusammenfassung
In diesem Artikel wird die probabilistische Modellierung und Vorhersage für die Standzeit und Zuverlässigkeit eines Fräswerkzeugs mittels der Bayesianischen Statistik beschrieben. Zur Entwicklung des probabilistischen Modells wird eine Markov-Chain-Monte-Carlo-Simulation (MCMC) auf das Taylor-Standzeit-Modell angewendet. Die A‑prior...
Das Buch stellt einen neuen Ansatz für Innovationsprozesse von Dienstleistungen vor, ein „Multidimensionales Service Prototyping“.
Innovation von Dienstleistungen wird durch den Einsatz von Service Prototypen agiler und kundenorientierter. Methoden und die Umsetzung des Prototyping werden dargestellt und erläutert.
In Anwendungsbeispielen werden...
(Business) Information systems become more and more complex due to an increase in the volume of data, but also due to more and more interconnected elements that all need to be orchestrated to perform as a uniform system. Correctly understanding and describing (business) processes, is one of the cornerstone foundations in the creation of almost all...
(Business) Information systems become more and more complex due to an increase in the volume of data, but also due to more and more interconnected elements that all need to be orchestrated to perform as a uniform system. Correctly understanding and describing (business) processes, is one of the cornerstone foundations in the creation of almost all...
Shorter product lifecycles lead not only to faster time-to-market for products but also to the need for just as fast available associated production systems. These shorter product lifecycles, as well as the increasing individualization of products, also result in further decreasing production lot sizes. Young companies in China in particular are ch...
In diesem Artikel wird die Entwicklung probabilistischer Modelle mittels Bayesianischen Inferenz durch ein MCMC-Verfahren zur Vorhersage von Tangential- und Vorschubschnittkräften beim Drehen von Inconel beschrieben. Zur Steigerung
der Vorhersagequalität wird das probabilistische Modell um ein nicht lineares Kraftmodell nach Kienzle erweitert, um
S...