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    DigitalGesundF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    Georgi Chaltikyan, Fara Fernandes, D. Khachatryan, L. Essayei

    History and Current State of Digital Health, eHealth and Telemedicine in Armenia

    A Century of Telemedicine: Curatio Sine Distantia et Tempora. A World Wide Overview – Part IV, Sofia, Bulgaria

    2021

    ISBN: 978-619-90601-5-5

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    M. Metzger, M. Duckheim, M. Franken, H. Heger, Matthias Huber, M. Knittel, T. Kolster, M. Kueppers, C. Meier, D. Most, S. Paulus, L. Wyrwoll, A. Moser, S. Niessen

    Pathways toward a Decarbonized Future—Impact on Security of Supply and System Stability in a Sustainable German Energy System

    Energies, vol. 14, no. 3

    2021

    DOI: 10.3390/en14030560

    Abstract anzeigen

    Pathways leading to a carbon neutral future for the German energy system have to deal with the expected phase-out of coal-fired power generation, in addition to the shutdown of nuclear power plants and the rapid ramp-up of photovoltaics and wind power generation. An analysis of the expected impact on electricity market, security of supply, and system stability must consider the European context because of the strong coupling—both from an economic and a system operation point of view—through the cross-border power exchange of Germany with its neighbors. This analysis, complemented by options to improve the existing development plans, is the purpose of this paper. We propose a multilevel energy system modeling, including electricity market, network congestion management, and system stability, to identify challenges for the years 2023 and 2035. Out of the results, we would like to highlight the positive role of innovative combined heat and power (CHP) solutions securing power and heat supply, the importance of a network congestion management utilizing flexibility from sector coupling, and the essential network extension plans. Network congestion and reduced security margins will become the new normal. We conclude that future energy systems require expanded flexibilities in combination with forward planning of operation.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Kueppers. M., S. Paredes Pineda, M. Metzger, Matthias Huber, S. Paulus, H. Heger, S. Niessen

    Decarbonization pathways of worldwide energy systems – Definition and modeling of archetypes

    Applied Energy, vol. 285, no. 01 March 2021

    2021

    DOI: 10.1016/j.apenergy.2021.116438

    Abstract anzeigen

    Energy system models help to find the optimal technology mixes for decarbonization strategies in countries worldwide. To reduce the modeling effort and analyze as many countries as possible, this paper proposes a novel approach of energy system archetypes which can be directly evaluated. These archetypes classify similar countries worldwide independently from their geographic location. Advantages of this idea are the setup of a transferable global database allowing for data reconstruction between countries, market size estimations, and the ability to compare peer countries facing similar challenges. To enable such modeling, a framework is developed in which the archetypes are defined, standardized modeling rules are developed, and the results are evaluated for validation. In a benchmark against simple geographic classifications, the presented clustering approach, which results in 15 archetypes, improves the variance between all countries and their corresponding archetypes by 44% compared to the variance between the countries and their geographic sub-regions. The model results of these archetypes state the need of balancing technologies for the daily cycle of photovoltaic generation and the general importance of flexibility in future decarbonized energy systems. Overall, the results confirm that archetypes are an adequate approach to derive the set of solutions for the decarbonization of worldwide countries.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    Q. Yang, Mouzhi Ge, M. Helfert

    Developing Reliable Taxonomic Features for Data Warehouse Architectures

    2020 IEEE 22nd Conference on Business Informatics (CBI)

    2020

    ISBN: 978-1-7281-9926-9

    DOI: 10.1109/CBI49978.2020.00033

    Abstract anzeigen

    Since there is a large variety of data warehouse architectures with different structures and components, it is very difficult and time-consuming to systematically analyse them and obtain insights from those architectures. One effective way to understand those architectures is using a taxonomy to classify them. However, most of the taxonomic features are derived in an ad-hoc way and the reliability of those features is unknown. This paper therefore is to develop a set of reliable features by modeling different data warehouse architectures and further generate the structural knowledge represented by a taxonomy. This taxonomy is further validated by evaluating two real-world data warehouse architectures from IBM and Facebook.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    M. Elahi, N. El Ioini, A. Alexander Lambrix, Mouzhi Ge

    Exploring Personalized University Ranking and Recommendation

    UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization

    2020

    DOI: 10.1145/3386392.3397590

    Abstract anzeigen

    Finding the right university to study is still a challenge for many people due to the large number of universities worldwide. Although there exist a number of global university rankings, they provide non# personalized rankings as one-size-fits-all solution. This becomes an issue since different people may have different preferences and considerations in mind, when choosing the university to study. This paper addresses this problem and presents a Recommender System to generate a personalized ranking list based on users particular preferences. The system is capable of eliciting users preferences, provided as ratings for universities, building predictive models on the preference data, and generating a personalized university ranking list that is tailored to the particular preferences and needs of the users. We performed two sets of experiments. First, we conducted an offline experiment using a dataset of user preferences, collected by the early version of our system. This allowed us to cross-validate and compare different recommender algorithms and choose the most accurate recommender algorithm that can better suit the particular problem at hand. We integrated the chosen algorithm in the final implementation of our system. As the follow-up, we performed a user study in order to analyze whether or not the final version of our system is usable from the perception of users. The results showed that the system has scored well above the benchmark and users assessed it as "good" in term of usability.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    F. Persia, D. D'Auria, Mouzhi Ge

    Improving Learning System Performance with Multimedia Semantics

    2020 IEEE 14th International Conference on Semantic Computing (ICSC)

    2020

    DOI: 10.1109/ICSC.2020.00050

    Abstract anzeigen

    Nowadays, different new learning methodologies have been proposed to achieve effective learning in University education. One of the most promising methodologies for teaching computer science is multimedia-based education. In order to empower the performance within the online learning platforms, such as Moodle or OLE, this paper proposes to integrate the multimedia-based education to learning systems, and conducts an experiment with the operating system course. We show that exploiting multimedia, such as educational video and smart text, can significantly improve the student's learning performance in terms of exam grade and knowledge transfer. Further, the paper presents a real-world case study depicting how to enhance the performance of learning platform with multimedia semantics.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    H. Bangui, Mouzhi Ge, B. Buhnova

    Improving Big Data Clustering for Jamming Detection in Smart Mobility

    ICT Systems Security and Privacy Protection, Cham, Switzerland, vol. 580

    2020

    ISBN: 978-3-030-58200-5

    Abstract anzeigen

    Smart mobility, with its urban transportation services ranging from real-time traffic control to cooperative vehicle infrastructure systems, is becoming increasingly critical in smart cities. These smart mobility services thus need to be very well protected against a variety of security threats, such as intrusion, jamming, and Sybil attacks. One of the frequently cited attacks in smart mobility is the jamming attack. In order to detect the jamming attacks, different anti-jamming applications have been developed to reduce the impact of malicious jamming attacks. One important step in anti-jamming detection is to cluster the vehicular data. However, it is usually very time-consuming to detect the jamming attacks that may affect the safety of roads and vehicle communication in real-time. Therefore, this paper proposes an efficient big data clustering model, coresets-based clustering, to support the real-time detection of jamming attacks. We validate the model efficiency and applicability in the context of a typical smart mobility system: Vehicular Ad-hoc Network, known as VANET.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    B. Mbarek, Mouzhi Ge, T. Pitner

    Enhanced network intrusion detection system protocol for internet of things

    SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing

    2020

    ISBN: 978-1-4503-6866-7

    DigitalF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Mouzhi Ge, W. Lewoniewski

    Developing the Quality Model for Collaborative Open Data

    Procedia Computer Science, vol. 176, pp. 1883-1892

    2020

    DOI: 10.1016/j.procs.2020.09.228

    Abstract anzeigen

    Nowadays, the development of data sharing technologies allows to involve more people to collaboratively contribute knowledge on the Web. The shared knowledge is usually represented as Collaborative Open Data (COD), for example, Wikipedia is one of the well-known sources for COD. The Wikipedia articles can be written in different languages, updated in real time, and originated from a vast variety of editors. However, COD also bring different data quality problems such as data inconsistency and low data objectiveness due to the crowd-based and dynamic nature. These data quality problems such as biased information may lead to sentimental changes or social impacts. This paper therefore proposes a new measurement model to assess the quality of COD. In order to evaluate the proposed model, A preliminary experiment is conducted with a large scale of Wikipedia articles to validate the applicability and efficiency of this proposed quality model in the real-world scenario.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    B. Mbarek, Mouzhi Ge, T. Pitner

    Blockchain-Based Access Control for IoT in Smart Home Systems

    Database and Expert Systems Applications

    2020

    ISBN: 978-3-030-59050-5

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    L. Walletzký, F. Romanovská, A. Toli, Mouzhi Ge

    Research Challenges of Open Data as a Service for Smart Cities

    Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER 2020)

    2020

    ISBN: 978-989-758-424-4

    DigitalF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    B. Mbarek, Mouzhi Ge, T. Pitner

    An Efficient Mutual Authentication Scheme for Internet of Things

    Internet of Things, vol. 9, no. 1

    2020

    DOI: 10.1016/j.iot.2020.100160

    Abstract anzeigen

    The Internet of Things (IoT) is developed to facilitate the connections and data sharing among people, devices, and systems. Among the infrastructural IoT techniques, Radio Frequency IDentification (RFID) has been used to enable the proliferation and communication in IoT networks. However, the RFID techniques usually suffer from security issues due to the inherent weaknesses of underlying wireless radio communications. One of the main security issues is the authentication vulnerability from the jamming attack. In order to tackle the vulnerabilities of key updating algorithms, this paper therefore proposes an efficient authentication scheme based on the self-adaptive and mutual key updating. Furthermore, we evaluate the performance and applicability of our solution with a thorough simulation by taking into account the energy consumption, authentication failure rate and authentication delay. The feasibility and applicability are demonstrated by implementing the proposed authentication scheme in smart home IoT systems.

    DigitalF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    M. Macak, Mouzhi Ge, B. Buhnova

    A Cross-Domain Comparative Study of Big Data Architectures

    International Journal of Cooperative Information Systems, vol. 29, no. 04

    2020

    DOI: 10.1142/S0218843020300016

    Abstract anzeigen

    Nowadays, a variety of Big Data architectures are emerging to organize the Big Data life cycle. While some of these architectures are proposed for general usage, many of them are proposed in a specific application domain such as smart cities, transportation, healthcare, and agriculture. There is, however, a lack of understanding of how and why Big Data architectures vary in different domains and how the Big Data architecture strategy in one domain may possibly advance other domains. Therefore, this paper surveys and compares the Big Data architectures in different application domains. It also chooses a representative architecture of each researched application domain to indicate which Big Data architecture from a given domain the researchers and practitioners may possibly start from. Next, a pairwise cross-domain comparison among the Big Data architectures is presented to outline the similarities and differences between the domain-specific architectures. Finally, the paper provides a set of practical guidelines for Big Data researchers and practitioners to build and improve Big Data architectures based on the knowledge gathered in this study.

    DigitalF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    F. Persia, G. Pilato, Mouzhi Ge, P. Bolzoni, D. D’Auria, S. Helmer

    Improving orienteering-based tourist trip planning with social sensing

    Future Generation Computer Systems, vol. 110, no. 9, pp. 931-945

    2020

    DOI: 10.1016/j.future.2019.10.028

    Abstract anzeigen

    We enhance a tourist trip planning framework based on orienteering with category constraints by adding social sensing. This allows us to customize a user’s experience without putting the burden of preference elicitation on the user. We identify the interests of a user by analyzing their Tweets and then match these interests to descriptions of points of interests. For this analysis we adapt different schemes for social sensing to the needs of our orienteering context and compare them to find the most suitable approach. We show that our technique is fast enough for use in real-time dynamic settings and also has a higher accuracy compared to previous approaches. Additionally, we integrate a more efficient algorithm for solving the orienteering problem, boosting the overall performance and utility of our framework further, as demonstrated by the positive user satisfaction received by real users.

    DigitalF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    M. Drăgoicea, L. Walletzký, L. Carrubbo, Nabil Badr, Angeliki T., F. Romanovská, Mouzhi Ge

    Service Design for Resilience: A Multi-Contextual Modeling Perspective

    IEEE Access, vol. 8, pp. 185526-185543

    2020

    DOI: 10.1109/ACCESS.2020.3029320

    Abstract anzeigen

    This paper introduces a conceptual framework aiming to broaden the discussion on resilience for the design of public services. From a theoretical point of view, the paper explores service design with a Systems Thinking lens. A multi-contextual perspective aiming to analyze, decompose, and design smart cities services where resilience is an input at the service design level is described and the four diamondsof-context model for service design (4DocMod) is introduced. This service model accommodates various actors' contexts in public service design and consists of four design artefacts, the diamonds (See, Recognize, Organize, Do). From a practical point of view, guidelines for the application of the 4DocMod service model extension for resilience are described along with two case studies addressing the recent COVID-19 pandemic that illustrates a clear situation of resilience with insights in multiple contexts. According to the findings of this paper, it is obvious that resilience is not “just”a request. Instead, it plays a higher role within the service system. It is not “just”another Context, either. Instead, it goes through many contexts with different circumstances. In this manner, it is possible to address the qualities through which actors can become resilient, at the service design stage, to ensure continuity of the public services in times of emergency. As our approach using the 4DocMod is proposing, resilience may be is achieved when specific properties are provisioned at information service design level.

    DigitalGesundF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    R. Istepanian, M. Kulhandjian, Georgi Chaltikyan

    Mobile Health (mHealth) in the Developing World: Two Decades of Progress or Retrogression

    Journal of the International Society for Telemedicine and eHealth (JISfTeH), vol. 8, no. e24, pp. 1-5

    2020

    DOI: 10.29086/JISfTeH.8.e24

    Abstract anzeigen

    Mobile healthcare, or mHealth, is one of the key pillars of information and communication technologies for healthcare that consists of telemedicine, telehealth, eHealth, and mHealth. In the past two decades, mobile health has become a transformative concept for healthcare delivery innovations on a global scale. The success was based on the market-driven strategies that utilised the advances in mobile communications, computing, and sensor technologies, especially in recent years. Those market-driven mobile health systems were also closely associated with the global proliferation of smartphones, and based on the correlated usage principle of the smartphone applications for healthcare and wellbeing. However, the global commercial success of the smartphone-based mHealth model was not widely translated into successful scaled-up and tangible healthcare benefits, especially in low- and-middle income countries, compared to the consumer mobile health markets. The numerous healthcare challenges in the developing world remained largely untackled by the existing mobile health systems and models. The much-hyped transformative benefits of these systems remain largely unfulfilled. For two decades since the inception of this concept, the majority of the population in resource-limited healthcare settings still remain in poorer health and live in worsened conditions, with limited if any access to basic healthcare services. The much-hyped mobile health services that promised transforming these fragile and limited healthcare conditions, did not come to wider fruition globally. The COVID-19 pandemic, with its devastating human and economic impact worsened this status. An overview of the origin and the basic principles of mobile health, its current landscape and status in the developing world is presented. The impact of the smartphone-centric model that dominated the landscape of mobile health systems in these countries is discussed, and a critical view on the limitation of this mobile health model adopted widely in these settings is provided.

    DigitalGesundF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Fara Fernandes, Georgi Chaltikyan

    Analysis of Legal and Regulatory Frameworks in Digital Health: A Comparison of Guidelines and Approaches in the European Union and United States

    Journal of the International Society for Telemedicine and eHealth (JISfTeH), vol. 8, no. e11, pp. 1-13

    2020

    DOI: 10.29086/JISfTeH.8.e11

    Abstract anzeigen

    The advent of digital technology in healthcare presents opportunities for the improvement of healthcare systems around the world and the move towards value-based treatment. However, this move must be accompanied by strong legal and regulatory frameworks that will not only facilitate but encourage the good use of technology. The goal of the study was to assess the amenability and furtherance of regulatory frameworks in digital health by evaluating and comparing the processes, effectiveness and outcomes of these frameworks in the European Union and United States. Methods: This study incorporated two research methodologies. The first was a research of current legal and regulatory frameworks in digital health in the European Union and United States. A comprehensive online search for publications was carried out which included laws, regulations, policies, green papers, guidelines and recommendations. This research was complemented with interviews of five purposively sampled key informants in the legal and regulatory landscape. Results: Mind-maps revealed key features and challenges of the digital health field in the topics of the current state of regulation of digital health in the EU, Germany and US, regulatory pathways for digital health devices, protection and privacy of health data, mobile health validation, risk-based classification of medical devices, regulation of clinical decision support systems, telemedicine, artificial intelligence and emerging technologies, reimbursement for digital health services and liability for digital health products. The experts expressed and explained key points where current regulation is deficient. The review of the legal frameworks revealed deficiencies which provide opportunities and recommendations to further develop and strengthen the regulatory landscape. Conclusions: A key element to a robust regulatory framework is the ability to ensure trust and confidence in using digital health technology. Technology must measure the impact on quality of life and burden of disease and not merely involve the collection of data.

    MobilF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    M. Pillmayer, N. Scherle, C. Pforr, C. Locher, Marcus Herntrei

    Transformation processes in Germany’s health resorts and spas – a three case analysis

    Annals of Leisure Research, vol. 55, no. 2, pp. 1-18

    2020

    DOI: 10.1080/11745398.2020.1765399

    Abstract anzeigen

    Germany’s traditional health resorts and spas have undergone far reaching transformation processes, triggered mainly by health care system reforms that started in the 1990s and resulted in significant cuts to the public funding of traditional restorative ‘Kur’ treatments in these destinations. Consequently, there has been a significant shift towards Germany’s so-called ‘second health care market’, which captures all privately funded health-related products and services. This paper provides an insight into these highly complex transformation processes using three Bavarian health resorts and spas (Bad Birnbach, Bad Füssing and Bad Griesbach) as case examples. Semi-structured interviews with experts from the three destinations offer insight into the structural transition towards the second health care market, including its manifold challenges and opportunities in an emerging health-leisure nexus.

    MobilF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Katerina Volchek, R. Law, D. Buhalis, H. Song

    Exploring Ways to Improve Personalisation: The Influence of Tourist Context on Service Perception

    e-Review of Tourism Research, vol. 17, no. 5, pp. 1-16

    2020

    Abstract anzeigen

    The heterogeneity and dynamic nature of tourist needs requires an advanced understanding of their context. This study aims to investigate the effects of observable factors of internal and external contexts on tourist perceptions towards personalised information services performance. An exploratory approach is used to test measurement invariance and the moderating effects of personal, travel, technical and social parameters of the tourist context, when applicable. The findings demonstrate that contextual factors motivate tourists to attribute different meanings to the parameters of the service, that have already been personalised for them. Individually developed personalisation design solutions are required for each travel context.

    MobilF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    D. Buhalis, Katerina Volchek

    Bridging marketing theory and big data analytics: The taxonomy of marketing attribution

    International Journal of Information Management, vol. 55, no. Available online 20 October 2020

    2020

    DOI: 10.1016/j.ijinfomgt.2020.102253

    Abstract anzeigen

    The integration of technology in business strategy increases the complexity of marketing communications and urges the need for advanced marketing performance analytics. Rapid advancements in marketing attribution methods created gaps in the systematic description of the methods and explanation of their capabilities. This paper contrasts theoretically elaborated facilitators and the capabilities of data-driven analytics against the empirically identified classes of marketing attribution. It proposes a novel taxonomy, which serves as a tool for systematic naming and describing marketing attribution methods. The findings allow to reflect on the contemporary attribution methods’ capabilities to account for the specifics of the customer journey, thereby, creating currently lacking theoretical backbone for advancing the accuracy of value attribution.