H. Precht und V. Dmitriyev, "Challenges of implementing data spaces for data sharing in the agricultural sector" in Proc. 46. GIL-Jahrestagung, Datenräume in der Land-, Forst- und Ernährungswirtschaft: Chancen frür die Zukunft und aktuelle Herausforderungen, Bonn, 2026.
doi: 10.18420/giljt2026_09
@inproceedings{Precht:2026:DataSpaces, title = {Challenges of implementing data spaces for data sharing in the agricultural sector},
author = {Precht, Hauke and Dmitriyev, Viktor},
year = {2026},
booktitle = {46. GIL-Jahrestagung, Datenr{\"a}ume in der Land-, Forst- und Ern{\"a}hrungswirtschaft: Chancen fr{\"u}r die Zukunft und aktuelle Herausforderungen},
publisher = {Gesellschaft fr{\"u}r Informatik e.V.},
address = {Bonn},
pages = {116--127},
doi = {10.18420/giljt2026_09},
pissn = {2944-7682}
}
J. Köhlke, A. Brüning-Pfeiffer, V. Dmitriyev, F. Tucci, und J. Asswad, "Towards Energy Efficiency: A Framework for Measuring, Reporting and Verifying Energy Data from Smart Buildings" Energies, vol. 19, iss. 4.
2026.
doi: 10.3390/en19041002
@article{Koehlke:2026:MDPI, title = {Towards Energy Efficiency: A Framework for Measuring, Reporting and Verifying Energy Data from Smart Buildings},
author = {K{\"o}hlke, Julia and Br{\"u}ning-Pfeiffer, Anna and Dmitriyev, Viktor and Tucci, Franziska and Asswad, Jad},
year = {2026},
journal = {Energies},
volume = {19},
number = {4},
url = {https://www.mdpi.com/1996-1073/19/4/1002},
doi = {10.3390/en19041002},
abstract = {Measurement, Reporting and Verification (MRV) concepts have emerged as a means for reviewing and ensuring the effectiveness of energy efficiency measures (EEMs) in smart buildings. Nevertheless, high technological and regulatory demands imposed by the Energy Efficiency Directive, Article 8 (EED 8), result in limited adaptation, which makes the transition of the MRV concept into a practically applied framework a challenging endeavor. A significant concern lies in ensuring data integrity, accuracy and transparency throughout the entire adaptation and implementation process of the MRV concept. This study addresses these challenges by developing and evaluating a structured MRV framework tailored to smart building environments. The MRV framework design was tested in a real-world use case in Berlin, demonstrating its applicability for measuring, reporting and verifying energy efficiency data from smart buildings. The results confirmed the applicability of the approach, while also revealing persistent barriers related to data sovereignty, security and interoperability. Ensuring trust, transparency and long-term data accessibility requires robust governance structures and alignment with legal and ethical standards. Future work will focus on scaling the MRV framework to additional sectors and refining mechanisms for secure data sharing and automated verification.},
article-number = {1002},
issn = {1996-1073}
}
J. Asswad, V. Dmitriyev, M. E. Elizondo Guerrero, C. Theesen, und J. Köhlke, "Requirements Engineering Approach for Data Ownership Concepts" Electronics, vol. 14, iss. 7.
2025.
doi: 10.3390/electronics14071288
@article{Asswad:re-data-ownership:2025, title = {Requirements Engineering Approach for Data Ownership Concepts},
author = {Asswad, Jad and Dmitriyev, Viktor and Elizondo Guerrero, Maria Edith and Theesen, Cedrik and K{\"o}hlke, Julia},
year = {2025},
journal = {Electronics},
volume = {14},
number = {7},
url = {https://www.mdpi.com/2079-9292/14/7/1288},
doi = {10.3390/electronics14071288},
abstract = {In recent years, the growing importance of data ownership has attracted significant attention, reflecting not only its pivotal role in the evolving data-driven environment but also the complexity of addressing it across diverse contexts. The necessity of developing effective data ownership concepts for data platforms is indisputable; nevertheless, the process is inherently complex and demands a comprehensive examination of the requirements surrounding this multifaceted issue. This paper puts forward a novel approach to the development of data ownership concepts, which draws on principles from requirements engineering (RE). The efficacy of this approach is evaluated through in-depth case-studies focusing on three distinct contexts: the development of a data ownership concept within the realm of smart meters, smart livestock farming, and data spaces for energy. Through the application of RE principles, this work strives to provide a structured and effective approach for addressing the nuanced challenges associated with data ownership in the process of developing data ownership concepts for data-driven platforms and applications.},
issn = {2079-9292},
article-number = {1288}
}
J. Köhlke, J. Asswad, und V. Dmitriyev, "Data Mesh for Collaborative Data Ecosystems: Balancing Heterogeneous Actors Needs and Data Ownership" 14. BUIS-Tage 2025, vol. 40.
2025.
doi: 10.2370/9783819104107
@article{Koehlke:2025:DataMesh, title = {Data Mesh for Collaborative Data Ecosystems: Balancing Heterogeneous Actors Needs and Data Ownership},
author = {K{\"o}hlke, Julia and Asswad, Jad and Dmitriyev, Viktor},
year = {2025},
publisher = {Shaker Verlag},
editor = {Marx G{\'o}mez, Jorge and Rapp, Barbara and Solsbach, Andreas},
journal = {14. BUIS-Tage 2025},
series = {Oldenburger Schriften zur Wirtschaftsinformatik},
volume = {40},
pages = {79--89},
doi = {10.2370/9783819104107},
isbn = {978-3-8191-0410-7},
month = {Juni}
}
J. Schering, C. Janßen, R. Kessler, V. Dmitriyev, J. Marx Gómez, C. Stehno, K. Pelzner, R. Bankowsky, und R. Hentschel, "ECOSense and its preliminary findings: Collection and analysis of bicycle sensor data" in Proc. Environmental Informatics: New perspectives in Environmental Information Systems: Transport, Sensors, Recycling, 2021.
doi: 10.2370/9783844076288
@inproceedings{Schering:2021:EnvInfo, title = {{ECOSense and its preliminary findings: Collection and analysis of bicycle sensor data}},
author = {Schering, Johannes and Jan{\ss}en, Christian and Kessler, René and Dmitriyev, Viktor and Marx Gómez, Jorge and Stehno, Christian and Pelzner, Kyra and Bankowsky, Ronald and Hentschel, Roland},
year = {2021},
booktitle = {Environmental Informatics: New perspectives in Environmental Information Systems: Transport, Sensors, Recycling},
publisher = {{Shaker Verlag GmbH}},
editor = {Kamilaris, Andreas and Wohlgemuth, Volker and Karatzas, Kostas D. and Athanasiadis, Ioannis N.},
pages = {145--153},
doi = {10.2370/9783844076288}
}
V. Dmitriyev, C. Janßen, und A. Solsbach, "Enable students to acquire new hands-on software experience using the modular teaching assistance system" in Proc. INFORMATIK 2021, 2021.
doi: 10.18420/informatik2021-006
@inproceedings{Dmitriyev:2021:HandOn, title = {Enable students to acquire new hands-on software experience using the modular teaching assistance system},
author = {Dmitriyev, Viktor and Jan{\ss}en, Christian and Solsbach, Andreas},
year = {2021},
booktitle = {INFORMATIK 2021},
publisher = {Gesellschaft für Informatik, Bonn},
pages = {91--101},
url = {https://dl.gi.de/items/aeac2dcb-1442-4c38-ae90-64e9730c6ce9},
doi = {10.18420/informatik2021-006},
pissn = {1617-5468},
isbn = {978-3-88579-708-1}
}
S. Holly, A. Nieße, M. Tröschel, L. Hammer, C. Franzius, V. Dmitriyev, J. Dorfner, E. M. Veith, C. Harnischmacher, M. Greve, K. Masuch, L. Kolbe, B. Wulff, und J. Kretz, "Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder" Energy Informatics, vol. 3, iss. 1.
2020.
doi: 10.1186/s42162-020-00129-1
@article{holly2020flexibility, title = {Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder},
author = {Holly, Stefanie and Nie{\ss}e, Astrid and Tr{\"o}schel, Martin and Hammer, Lasse and Franzius, Christoph and Dmitriyev, Viktor and Dorfner, Johannes and Veith, Eric MSP and Harnischmacher, Christine and Greve, Maike and Masuch, Kristin and Kolbe, Lutz and Wulff, Boris and Kretz, Julian},
year = {2020},
publisher = {SpringerOpen},
journal = {Energy Informatics},
volume = {3},
number = {1},
pages = {1--20},
url = {https://doi.org/10.1186/s42162-020-00129-1},
doi = {10.1186/s42162-020-00129-1},
abstract = {Unlocking and managing flexibility is an important contribution to the integration of renewable energy and an efficient and resilient operation of the power system. In this paper, we discuss how the potential of a fleet of battery-electric transportation vehicles can be used to provide frequency containment reserve. To this end, we first examine the use case in detail and then present the system designed to meet this challenge. We give an overview of the tasks and individual sub-components, consisting of (a) an artificial neural network to predict the availability of Automated Guided Vehicles (AGVs) day-ahead, (b) a heuristic approach to compute marketable flexibility, (c) a simulation to check the plausibility of flexibility schedules, (d) a multi-agent system to continuously monitor and control the AGVs and (e) the integration of fleet flexibility into a virtual power plant. We also present our approach to the economic analysis of this provision of a system-critical service in a logistical context characterised by high uncertainty and variability.}
}
F. Kruse, V. Dmitriyev, und J. Marx Gómez, "Building a Connection Between Decision Maker and Data-Driven Decision Process" Archives of Data Science, Series A (Online First), vol. 4, iss. 1.
2018.
doi: 10.5445/KSP/1000085951/03
@article{Kruse:18:DataDrivenDecision, title = {{Building a Connection Between Decision Maker and Data-Driven Decision Process}},
author = {Kruse, Felix and Dmitriyev, Viktor and Marx G{\'o}mez, Jorge},
year = {2018},
journal = {Archives of Data Science, Series A (Online First)},
volume = {4},
number = {1},
pages = {1-16},
doi = {10.5445/KSP/1000085951/03},
abstract = {It is quite common that most of companies’ decisions are made based on feelings, intuitions or personal experiences. The reasons for such patterns have organizational, technical and process oriented backgrounds. For instance, there is no structured way to deal with the analytical results on both sides simultaneously – organizational and technical. Usually, in case of analytics the ones doing analysis (e.g. data scientists) and the ones using results of analytics (e.g. decision makers) are different persons. As a result, such a structure leads to ambiguity and misunderstanding between the involved parties. In order to bridge the existing gap between data scientists and decision makers, we introduced the Data Product Profile which links both data science and data-driven decision processes.}
}
G. Berghaus, R. Kessler, V. Dmitriyev, und J. Marx Gómez, "Ermittlung der Digitalisierungspotenziale von nicht-digitalen Geschäftsprozessen" HMD Praxis der Wirtschaftsinformatik.
2018.
doi: 10.1365/s40702-018-0403-0
@article{Berghaus:2018:Digitalizirung, title = {Ermittlung der Digitalisierungspotenziale von nicht-digitalen Gesch{\"a}ftsprozessen},
author = {Berghaus, Gerrit and Kessler, Ren{\'e} and Dmitriyev, Viktor and Marx G{\'o}mez, Jorge},
year = {2018},
journal = {HMD Praxis der Wirtschaftsinformatik},
url = {https://link.springer.com/content/pdf/10.1365/s40702-018-0403-0.pdf},
doi = {10.1365/s40702-018-0403-0},
issn = {2198-2775},
day = {02},
abstract = {Dieser Beitrag befasst sich mit dem Thema Digitalisierung von nicht-digitalen Gesch{\"a}ftsprozessen. Der Digitalisierungsgrad eines Unternehmens stellt mittlerweile einen erfolgsentscheidenden Wettbewerbsfaktor dar, um in modernen M{\"a}rkten nachhaltig existieren und sich weiterentwickeln zu k{\"o}nnen. Die digitale Transformation von Gesch{\"a}ftsprozessen eines Unternehmens ist nicht trivial und stellt Unternehmen und deren Mitarbeiter vor gro{\ss}en Herausforderungen. Ziel dieses Beitrags ist die Identifikation von Gesch{\"a}ftsprozesscharakteristika, die ma{\ss}geblichen Einfluss auf die Digitalisierung eines Gesch{\"a}ftsprozesses haben. Die identifizierten Charakteristika werden unter Nutzung von Methoden aus dem Bereich der multikriteriellen Entscheidungsunterst{\"u}tzung in ein geeignetes Konzept {\"u}berf{\"u}hrt, um die Digitalisierungspotenziale eines Gesch{\"a}ftsprozesses ermitteln zu k{\"o}nnen. Das Konzept umfasst insgesamt f{\"u}nf verschiedene Kriterienkataloge und 15 unterschiedliche Bewertungskriterien. Die Anwendung dieses Konzeptes erfolgt in drei separaten Schritten: Gewichtung der Kriterien, Bewertung der Kriterien und Ergebnisauswertung. Die Ergebnisse der Erprobung lie{\ss}en sich durch eine prototypische Digitalisierung eines zuvor nicht-digitalen Gesch{\"a}ftsprozesses erfolgreich validieren. Das erstellte Bewertungskonzept erweitert die bisherige Literatur und bietet eine breite Grundlage f{\"u}r weiterf{\"u}hrende Forschungs- und Entwicklungsarbeiten.},
month = {Mar}
}
T. Mahmoud, V. Dmitriyev, und O. M. Driha, "Research Topic Identification" , Marx Gómez, J. und Mouselli, S. Eds., Springer International Publishing.
doi: 10.1007/978-3-319-74173-4_4
@inbook{Mahmoud:2018:ResearchTopic, title = {Research Topic Identification},
author = {Mahmoud, Tariq and Dmitriyev, Viktor and Driha, Oana Madalina},
year = {2018},
booktitle = {Modernizing the Academic Teaching and Research Environment: Methodologies and Cases in Business Research},
publisher = {Springer International Publishing},
editor = {Marx G{\'o}mez, Jorge and Mouselli, Sulaiman},
pages = {71--78},
url = {https://doi.org/10.1007/978-3-319-74173-4_4},
doi = {10.1007/978-3-319-74173-4_4},
isbn = {978-3-319-74173-4},
abstract = {The current chapter explains challenging task in identifying the most suitable way to establish a research topic. The work demonstrates how to follow a proper research methodology in information systems. It explains what process of a research is all about and why it's important to follow a proper research approach in order to successfully reach approached research goals. The chapter analyses variety of existing research methodologies in order to provide researcher with an overview of available within the field of information systems research methodologies.}
}
V. Dmitriyev, F. Kruse, H. Precht, S. Becker, A. Solsbach, und J. Marx Gómez, "Building A Big Data Analytical Pipeline With Hadoop For Processing Enterprise XML Data" in Proc. The 11th Mediterranean Conference on Information Systems (MCIS), Genoa, Italy, 2017.
doi: mcis2017/1
@inproceedings{Dmitriyev:2017:BigDataPipelineXML, title = {{Building A Big Data Analytical Pipeline With Hadoop For Processing Enterprise XML Data}},
author = {Dmitriyev, Viktor and Kruse, Felix and Precht, Hauke and Becker, Simon and Solsbach, Andreas and Marx G{\'o}mez, Jorge},
year = {2017},
booktitle = {The 11th Mediterranean Conference on Information Systems (MCIS)},
address = {Genoa, Italy},
url = {http://aisel.aisnet.org/mcis2017/1},
doi = {http://aisel.aisnet.org/mcis2017/1},
keywords = {Big Data, Hadoop, ETL, ELT, XML, Data Analytical Pipeline},
abstract = {The current paper shows an end-to-end approach how to process XML files in the Hadoop ecosystem. The work demonstrates a way how to handle problems faced during the analysis of a large amounts of XML files. The paper presents a completed Extract, Load and Transform (ELT) cycle, which is based on the open source software stack Apache Hadoop, which became a standard for processing of a huge amounts of data. This work shows that applying open source solutions to a particular set of problems could not be enough. In fact, most of big data processing open source tools were implemented only to address a limited number of the use cases. This work explains and shows, why exactly specific use cases may require significant extension with a self-developed multiple software components. The use case described in the paper deals with huge amounts of semi-structured XML files, which supposed to be persisted and processed daily.},
month = {September}
}
Y. Daineko, V. Dmitriyev, und M. Ipalakova, "Using virtual laboratories in teaching natural sciences: An example of physics courses in university" Computer Applications in Engineering Education, vol. 25, iss. 1.
2017.
doi: 10.1002/cae.21777
@article{Daineko:2016:CAE, title = {Using virtual laboratories in teaching natural sciences: An example of physics courses in university},
author = {Daineko, Yevgeniya and Dmitriyev, Viktor and Ipalakova, Madina},
year = {2017},
journal = {Computer Applications in Engineering Education},
volume = {25},
number = {1},
pages = {39--47},
url = {http://dx.doi.org/10.1002/cae.21777},
doi = {10.1002/cae.21777},
keywords = {physics virtual laboratory, higher education, teaching, 3D, 3D modeling physics},
issn = {1099-0542},
abstract = {Thinking outside of the box is an important part of education. However, using innovative teaching methods in education can be very challenging for educators. They are directly involved into a teaching process and upcoming changes should be well planned and the impact of the introduced innovations/changes should be estimated in advance. Innovations can be also challenging for a management part of a particular higher education institution, whose major goal is to organize a smooth learning process. Current work presents software empowered innovation in the domain of teaching physics at universities. Authors demonstrate how particular software artefacts could be possible integrated into existing curriculum in order to help students at universities in mastering particular natural science subject (e.g., "Physics-1", "Physics-2"). Software is based on the ideas of virtual laboratories, whether implementation is based on Microsoft. NET XNA Framework and 3D modeling. Paper shows that the introduction of modern information and computer technologies along with the traditional forms of education are significantly enhancing teaching experience and improving education quality. }
}
J. Marx Gómez, V. Dmitriyev, H. Precht, und F. Kruse, "Aufbau einer analytischen Pipeline mit Apache Hadoop und XML - Enterprise und Big Data" BI-SPEKTRUM, vol. Online-Themenspecial Predictive & Advanced Analytics, iss. 1 - 5.
2016.
@article{Gomez:2016:BISpektrumPGDASH, title = {Aufbau einer analytischen Pipeline mit Apache Hadoop und XML - Enterprise und Big Data},
author = {Marx G{\'o}mez, Jorge and Dmitriyev, Viktor and Precht, Hauke and Kruse, Felix},
year = {2016},
publisher = {SIGS DATACOM GmbH},
editor = {Carsten Felden},
journal = {BI-SPEKTRUM},
volume = {Online-Themenspecial Predictive \& Advanced Analytics},
number = {1 - 5},
url = {http://www.sigs.de/publications/bi/2016/Predictive_AdvancedAnalytics/marx_dmitriyev_BIS_OTS_2016.pdf},
abstract = {Daten werden für Unternehmen immer mehr zu einem wichtigen Rohstoff, um ihre Prozesse und Wettbewerbsvorteile zu verbessern. Bisher werden allerdings hauptsächlich strukturierte Daten analysiert. Jedoch werden laut einer Studie des IDC in den nächsten Jahren lediglich 10 Prozent strukturierte Daten erzeugt – den verbleibenden größeren Teil machen semi- und unstrukturierte Daten wie XML-, JSON-, Bild- und Textdateien aus [Int12]. Häufig liegen diese Daten bereits heute in großen Mengen vor. Diese meist ungenutzten semi- und unstrukturierten Datenmassen bieten Unternehmen enorme Potenziale, um mittels Advanced und Predictive Analytics Wissen und Erkenntnisse zu generieren. Um jedoch diese Daten für Advanced und Predictive Analytics überhaupt nutzbar zu machen, sind neue Technologien wie das Hadoop Ecosystem und NoSQL-Datenbanken entstanden. Dabei kann für mittelständische Unternehmen das Hadoop Ecosystem eine Alternative zu proprietären Softwarelösungen sein, da es als Open-Source-Software gut verfügbar und durch eine entsprechende Community unterlegt ist.},
month = {November}
}
V. Dmitriyev, B. Wagner vom Berg, D. Stamer, A. Sandau, N. Giesen, J. Siewert, und J. Marx Gómez, "Teaching In-Memory Computing and Big Data Related Skills at University" in Proc. Multikonferenz Wirtschaftsinformatik (MKWI) 2016, 2016.
doi: 10.13140/RG.2.1.3697.3685
@inproceedings{Dmitriyev:2016:BigDataTeaching, title = {Teaching In-Memory Computing and Big Data Related Skills at University},
author = {Dmitriyev, Viktor and Wagner vom Berg, Benjamin and Stamer, Daniel and Sandau, Alexander and Giesen, Nils and Siewert, Jens and Marx G{\'o}mez, Jorge},
year = {2016},
booktitle = {Multikonferenz Wirtschaftsinformatik (MKWI) 2016},
editor = {Nissen, Volker and Stelzer, Dirk and Stra{\ss}burger, Steffen and Fischer, Daniel},
volume = {Brand II},
number = {729 - 740},
doi = {10.13140/RG.2.1.3697.3685},
abstract = {Adapting particular novice topics for university’s curricula is a challenging task. Especially, when domains to be adopted are evolving rapidly and there are not much available materials, which explicitly dedicated to teaching. Beside availability of materials, overall management and law eligibility can be a really big obstacle in establishing a novice curricula. However, it’s very important to keep teaching programs close to appearing new topics in academia and industry in order to provide students with relevant knowledge and empowering them with advantage on labor market. Current work describes concrete ways how to address teaching to students such phenomena as big data and in-memory computing. Work shows how to build into teaching program novice trends, which are trending both in academia and industry, and at the same time to void hidden pitfalls and overcome obstacles. Work demonstrates in details gathered experiences in teaching aforementioned concepts with an example of particular university.},
note = {SBN 978-3-86360-132-4 (Druckausgabe, Gesamtwerk)},
month = {March}
}
V. Dmitriyev, J. Marx Gómez, und M. Osmers, "In-Memory Technology for Smart Wind Farm Control" ERP Management (Online).
2015.
@article{Dmitriyev:2015:WindFarm, title = {In-Memory Technology for Smart Wind Farm Control},
author = {Dmitriyev, Viktor and Marx G{\'o}mez, Jorge and Osmers, Manuel},
year = {2015},
journal = {ERP Management (Online)},
url = {http://erp-management.de/node/691},
abstract = {With the growth of the economy, population of countries and newly appeared habits of humankind (e.g. mobile devices) energy consumption is continuously increasing. During the last two centuries people all over the word developed very robust techniques for energy production. However, in order to maintain newly appeared tools, the new methods and processes are required. This article demonstrates the ability of the new database technology such as in-memory computing [1] to be able to work with huge amounts of data generated by wind turbines in order to reduce maintenance costs through more detailed predictions mechanisms.},
month = {November}
}
V. Dmitriyev, J. Marx Gómez, und M. Zhaparov, "Collecting context data generated by mobile devices" in Proc. 2015 Twelve International Conference on Electronics Computer and Computation (ICECCO), 2015.
doi: 10.1109/ICECCO.2015.7416878
@inproceedings{Dmitriyev:2015:MobileData, title = {Collecting context data generated by mobile devices},
author = {Dmitriyev, Viktor and Marx G{\'o}mez, Jorge and Zhaparov, Meirambek},
year = {2015},
booktitle = {2015 Twelve International Conference on Electronics Computer and Computation (ICECCO)},
pages = {1-4},
doi = {10.1109/ICECCO.2015.7416878},
keywords = {Computer architecture;Context;Mobile applications;Mobile communication;Smart phones;Unified modeling language;api;application;architecture;context;mobile;rest;services},
abstract = {Issues related to a properly collection, management and analysis of data are the very first ones to be solved while working with any data source. Especially, it's true for the data sources, which have a property to grow very rapidly and without any clear structure underneath, and such behavior is very typical for the data generated by mobile devices. Thus, current work suggest an principle architecture design of a mobile software platform whose main goal is to collect, store and provide further access to the mobile context data generated mainly by mobile devices such as smartphones.},
month = {September}
}
V. Dmitriyev und Y. Daineko, "Implementing physics virtual laboratory in 3D: An example of Atwood machine" in Proc. 2015 Twelve International Conference on Electronics Computer and Computation (ICECCO), 2015.
doi: 10.1109/ICECCO.2015.7416891
@inproceedings{Dmitriyev:2015:PVLAtwood, title = {Implementing physics virtual laboratory in 3D: An example of Atwood machine},
author = {Dmitriyev, Viktor and Daineko, Yevgeniya},
year = {2015},
booktitle = {2015 Twelve International Conference on Electronics Computer and Computation (ICECCO)},
pages = {1-5},
doi = {10.1109/ICECCO.2015.7416891},
keywords = {Education;Information and communication technology;Physics;Software;Three-dimensional displays;Time measurement;User interfaces;.net;3d modelling;higher education;ict;information and communications technology;physics;physics virtual laboratory;xna},
abstract = {Intensive usage of an information and communication technology (ICT) in an education process is a promising and rapidly evolving topic or exploration. One of the ways, how a particular ICT can be used for teaching is a creation of specialized software applications, which are able to demonstrate physical or chemical process to a students on very granular level. Current work describes an implementation of such specialized software applications primary dedicated to enhance experience in teaching physics subject. The work includes theoretical foundation of a physics experiment, in particular a description of Atwood's machine, and the technological foundation that lead to creation of virtual laboratory work for described physics experiment. Besides describing technological foundation, it's also demonstrates software implementations process in details.},
month = {September}
}
Y. Daineko, M. Ipalakova, V. Dmitriyev, A. Giyenko, und N. Rakhimzhanova, 3D Physics Virtual Laboratory as a Teaching PlatformSpringer International Publishing.
2015.
doi: 10.1007/978-3-319-22888-4_34
@incollection{Daineko:2015:3DPhysicsItaly, title = {3D Physics Virtual Laboratory as a Teaching Platform},
author = {Daineko, Yevgeniya and Ipalakova, Madina and Dmitriyev, Viktor and Giyenko, Andrey and Rakhimzhanova, Nazgul},
year = {2015},
booktitle = {Augmented and Virtual Reality},
publisher = {Springer International Publishing},
volume = {9254},
pages = {458-466},
url = {http://dx.doi.org/10.1007/978-3-319-22888-4_34},
doi = {http://dx.doi.org/10.1007/978-3-319-22888-4_34},
abstract = {Current work demonstrates an usage of the 3D Physics Virtual Laboratory within the teaching process of the students who are getting their bachelor degrees at a technical universities. The main advantages of presented software package is an utilization of the complete simulation of the real world physics in an virtual environment. Additional advantage of work is that it’s flexibility-by-design. The flexibility of the 3D Physics Virtual Laboratory software package is achieved through the completed development loop adapted under agile methodology. The work also shows the overall structure of the components within the software package, technological foundation and description of the laboratory. The Microsoft .NET with it's framework .NET XNA were used as an software foundation for building core elements of the current 3D Physics Virtual Laboratory.}
}
V. Dmitriyev, T. Mahmoud, und P. M. Marin-Ortega, "SOA enabled ELTA: approach in designing business intelligence solutions in Era of Big Data" International Journal of Information Systems and Project Management, vol. 3, iss. 3.
2015.
doi: 10.12821/ijispm030303
@article{Dmitriyev:2015:SOAELTA, title = {SOA enabled ELTA: approach in designing business intelligence solutions in Era of Big Data},
author = {Dmitriyev, Viktor and Mahmoud, Tariq and Marin-Ortega, Pablo Michel},
year = {2015},
journal = {International Journal of Information Systems and Project Management},
volume = {3},
number = {3},
pages = {49-63},
url = {http://www.sciencesphere.org/ijispm/archive/ijispm-030303.pdf},
doi = {10.12821/ijispm030303},
abstract = {The current work presents a new approach for designing business intelligence solutions. In the Era of Big Data, former and robust analytical concepts and utilities need to adapt themselves to the changed market circumstances. The main focus of this work is to address the acceleration of building process of a "data-centric" Business Intelligence (BI) solution besides preparing BI solutions for Big Data utilization. This research addresses the following goals: reducing the time spent during business intelligence solution's design phase; achieving flexibility of BI solution by adding new data sources; and preparing BI solution for utilizing Big Data concepts. This research proposes an extension of the existing Extract, Load and Transform (ELT) approach to the new one Extract, Load, Transform and Analyze (ELTA) supported by service-orientation concept. Additionally, the proposed model incorporates Service-Oriented Architecture concept as a mediator for the transformation phase. On one side, such incorporation brings flexibility to the BI solution and on the other side; it reduces the complexity of the whole system by moving some responsibilities to external authorities.},
note = {ISSN (print): 2182-7796, ISSN (online): 2182-7788}
}
Y. Mowafi, D. D. I. el Abou-Tair, A. Zmily, T. Al-Aqarbeh, M. Abilov, und V. Dmitriyev, "Exploring a Context-based Network Access Control for Mobile Devices" Procedia Computer Science, vol. 62.
2015.
doi: 10.1016/j.procs.2015.08.530
@article{Mowafi:2015:ExploringContext, title = {Exploring a Context-based Network Access Control for Mobile Devices },
author = {Yaser Mowafi and Dhiah el Diehn I. Abou-Tair and Ahmad Zmily and Tareq Al-Aqarbeh and Marat Abilov and Viktor Dmitriyev},
year = {2015},
journal = {Procedia Computer Science },
volume = {62},
pages = {547 - 554},
url = {http://www.sciencedirect.com/science/article/pii/S1877050915026654},
doi = {http://dx.doi.org/10.1016/j.procs.2015.08.530},
keywords = {Mobile Computing},
issn = {1877-0509},
abstract = {Abstract Significant advancement in mobile devices coupled with high speed networks have shifted personal computing towards pervasive environments. Mobile devices currently offer many value-added applications and services such as emailing, messaging, navigation, social networking, finance, and entertainment. Typically, such value-added applications have access to users’ personal information and are capable of gathering and transmitting trust sensitive information, hence posing security risks and/or privacy concerns. In this paper, we propose a context-based analytic hierarchy process (AHP) framework for eliciting context information and adapting this information with network access control measures for mobile devices. The framework enforces the execution of mobile applications inside security incubators to control the communication between mobile applications and mobile device resources. Mobile applications’ access requests are analyzed based on user's context information collected from the mobile device sensors and the application network access control configuration. We use the Facebook mobile application, as a test case, to evaluate our proposed framework. Evaluation results have demonstrated the efficacy of the framework in providing network access control measures based on real-time assessment of user's context. },
note = {Proceedings of the 2015 International Conference on Soft Computing and Software Engineering (SCSE'15) }
}
V. Dmitriyev, J. Marx Gómez, und M. Osmers, "Big Data Inspired Water Management Platform for Sensor Data" in Proc. INFORMATIK 2015, 2015.
doi: 10.13140/RG.2.1.1565.7689
@inproceedings{Dmitriyev:2015:BUISCottbus, title = {Big Data Inspired Water Management Platform for Sensor Data},
author = {Dmitriyev, Viktor and Marx G{\'o}mez, Jorge and Osmers, Manuel},
year = {2015},
booktitle = {INFORMATIK 2015},
publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
editor = {Douglas Cunningham and Petra Hofstedt and Klaus Meer and Ingo Schmitt},
series = {Lecture Notes in Informatics (LNI)},
volume = {P-246},
pages = {303--310},
url = {https://www.researchgate.net/profile/Viktor_Dmitriyev/publication/282670764_Big_Data_Inspired_Water_Management_Platform_for_Sensor_Data},
doi = {10.13140/RG.2.1.1565.7689},
type = {Workshop-Beitrag},
language = {English},
issn = {1617-5468},
isbn = {978-3-88579-640-4},
institution = {University of Oldenburg, Germany},
department = {Business Information Systems / VLBA},
cr-category = {Betriebliche Umweltinformationssysteme (BUIS)},
abstract = {The usage of the data generated by the various types of sensors is addressed to be one of the promising source of improvements and one of the core stones of the Industry 4.0 initiative of the German government. The domain of sensor data management continuously demonstrates it’s ability to improve currently existing processes in various directions. Despite theoretically applicability of the same approach of the sensor data management in the domains other that water, current work focuses on demonstrating preliminary results of the research done with focus on water management. The preliminary results demonstrated in the form of principal platform architecture. The main idea behind the paper is to show the principal architecture in order to open a future opportunity for building a prototypical implementation of the proposed architecture later on. The principal architecture has an big data phenomena principals like volume, velocity and variety by-design.},
month = {September}
}
Y. Daineko und V. Dmitriyev, "Software module "Virtual Physics Laboratory" in Higher Education" in Proc. Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on, 2014.
doi: 10.1109/ICAICT.2014.7036005
@inproceedings{Daineko:2014:VirtPhysLabIEEE, title = {Software module "Virtual Physics Laboratory" in Higher Education},
author = {Daineko, Y. and Dmitriyev, V.},
year = {2014},
booktitle = {Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on},
pages = {1-3},
doi = {10.1109/ICAICT.2014.7036005},
keywords = {computer aided instruction;laboratory techniques;physics computing;physics education;IITU;International University of Information Technologies;higher education system;software module;virtual physics laboratory;Educational institutions;Guidelines;Information technology;Laboratories;Physics;Software;3D modelling;Higher Education;Virtual Physics Laboratory},
month = {Oct}
}
B. Hasan, V. Dmitriyev, J. Marx Gómez, und J. Kurzhofer, "A framework along with guidelines for designing secure mobile enterprise applications" in Proc. Security Technology (ICCST), 2014 International Carnahan Conference on, 2014.
doi: 10.1109/CCST.2014.6987030
@inproceedings{Hasan:2014:SecurityFramework, title = {A framework along with guidelines for designing secure mobile enterprise applications},
author = {Hasan, B. and Dmitriyev, V. and Marx G{\'o}mez, J. and Kurzhofer, J.},
year = {2014},
booktitle = {Security Technology (ICCST), 2014 International Carnahan Conference on},
pages = {1-6},
doi = {10.1109/CCST.2014.6987030},
keywords = {human factors;notebook computers;risk analysis;smart phones;telecommunication industry;trusted computing;business sector;decision-making process;employee productivity;enterprise employee flexibility;enterprise employee mobility;information security standard porting;mobile applications;mobile devices;mobile security issues;notebooks;risk analysis;secure MEA design;secure mobile enterprise application design;security transparency;server domains;smart phones;success factors;tablets;trustworthy usage;user acceptance factor minimization;user satisfaction factor minimization;workstations;Guidelines;Mobile communication;Mobile handsets;Risk analysis;Security;Standards;Enterprise Mobility;MEAs;Mobile Security;Risk Analysis;User Acceptance},
month = {Oct}
}
Y. Daineko, V. Dmitriyev, M. Ipalakova, Y. Chaiko, und A. Zhumakhmet, "Use Of Information And Communication Technologies (ICT) In Higher Education" in Proc. 7th The International Conference on New Trends in Information and Communication Technologies (ICTT), Almaty, Kazakhstan, 2014.
doi: 10.13140/2.1.3313.2320
@inproceedings{Daineko:2014:ICT, title = {Use Of Information And Communication Technologies (ICT) In Higher Education},
author = {Daineko, Yevgeniya and Viktor Dmitriyev and Ipalakova, Madina and Chaiko, Yelena and Zhumakhmet, Alisher},
year = {2014},
booktitle = {7th The International Conference on New Trends in Information and Communication Technologies (ICTT)},
address = {Almaty, Kazakhstan},
doi = {http://dx.doi.org/10.13140/2.1.3313.2320},
keywords = {Virtual Physics Laboratory; Higher Education; 3D modeling},
days = {22},
abstract = {The main idea of this article is using the information and communication technologies in the higher education process. The essential aspects of the structuring and presentation of the theoretical and experimental materials within the virtual computer laboratory are presented. The developed virtual computer laboratory is based on Microsoft .NET XNA platform and on the Physics subject. The virtual laboratory contains four laboratory sessions 'Study of kinematics and dynamics on the Atwoods machine', 'Study of momentum of inertia with Maxwells pendulum', 'Definition of the rate of adiabat for air using the Kleman-Dezorm method', 'Measurement of the horizontal component of the Earth magnetic inductions horizontal project'.},
month = {Feb}
}
V. Dmitriyev und J. Marx Gómez, "In-Memory Computing and Big Data Analysis with User-Defined Functions" in Proc. 7th The International Conference on New Trends in Information and Communication Technologies (ICTT), Almaty, Kazakhstan, 2014.
doi: 10.13140/2.1.2356.8166
@inproceedings{Dmitriyev:2014:BigDataUDF, title = {In-Memory Computing and Big Data Analysis with User-Defined Functions},
author = {Dmitriyev, Viktor and Marx G{\'o}mez, Jorge},
year = {2014},
booktitle = {7th The International Conference on New Trends in Information and Communication Technologies (ICTT)},
address = {Almaty, Kazakhstan},
doi = {http://dx.doi.org/10.13140/2.1.2356.8166},
keywords = {big data; user-defined functions; in-memory computing},
days = {22},
abstract = {Problems of data migrations from one data storage to another are always existed, and in era of big data, such problems becoming more crucial. When data started to grow, there is no chance of termination of such process, and in such situation, the important point is not only to just store the data, but also to process on the different levels of granularity. Current work is focused on today's situation of complex data analysis. It mainly concerning data exportation issues and challenges that must be faced by academia and industry in order to solve related problem. Publication sates problematic, provides review of related literature, proposes ideas of solution, that should be implemented, and provides methodology that need to be followed in order to conduct relevant, scientific value adding research.},
month = {Feb}
}
P. M. Marin-Ortega, V. Dmitriyev, M. Abilov, und J. Marx Gómez, "ELTA: New Approach in Designing Business Intelligence Solutions in Era of Big Data" Procedia Technology, vol. 16.
2014.
doi: 10.1016/j.protcy.2014.10.015
@article{MarinOrtega:2014:ELTA, title = {ELTA: New Approach in Designing Business Intelligence Solutions in Era of Big Data},
author = {Marin-Ortega, Pablo Michel and Dmitriyev, Viktor and Abilov, Marat and Marx G{\'o}mez, Jorge},
year = {2014},
journal = {Procedia Technology},
volume = {16},
number = {0},
pages = {667-674},
url = {http://www.sciencedirect.com/science/article/pii/S2212017314002424},
doi = {http://dx.doi.org/10.1016/j.protcy.2014.10.015},
keywords = {big data},
issn = {2212-0173},
abstract = {Abstract Current work presents new approach for designing business intelligence solutions. In the era of big data, former and robust analytical concepts and utilities needs to adopt themselves to changed market circumstances. Main focus of the work is to address acceleration of building process of a “data-centric” business intelligence solution on one side, and also prepare business intelligence solutions for big data utilization. Research is addressing following goals: (a) reduce time spent during business intelligence solution designing phase; (b) achieve flexibility of business intelligence solution by removing problems with adding new data sources; (c) prepare business intelligence solution for utilization of big data concepts. Research proposes extension of existing Extract, Load and Transform (ELT) approach to the new one Extract, Load, Transform and Analyse (ELTA). },
note = {6th Conference on \{ENTERprise\} Information Systems–aligning technology, organizations and people, \{CENTERIS\} 2014}
}
Y. Mowafi, D. Abou-Tair, T. Aqarbeh, M. Abilov, V. Dmitriyev, und J. Marx Gómez, "A Context-aware Adaptive Security Framework for Mobile Applications" in Proc. Proceedings of the 3rd International Conference on Context-Aware Systems and Applications, ICST, Brussels, Belgium, Belgium, 2014.
doi: 10.4108/icst.iccasa.2014.257495
@inproceedings{Mowafi:2014:ContextAware, title = {A Context-aware Adaptive Security Framework for Mobile Applications},
author = {Mowafi, Yaser and Abou-Tair, Dhiah and Aqarbeh, Tareq and Abilov, Marat and Dmitriyev, Viktor and Marx G{\'o}mez, Jorge},
year = {2014},
booktitle = {Proceedings of the 3rd International Conference on Context-Aware Systems and Applications},
publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},
series = {ICCASA '14},
address = {ICST, Brussels, Belgium, Belgium},
pages = {147-153},
url = {http://dl.acm.org/citation.cfm?id=2762722.2762750},
doi = {http://dx.doi.org/10.4108/icst.iccasa.2014.257495},
numpages = {7},
location = {Dubai, United Arab Emirates},
keywords = {AHP, Mobile computing, context awareness, context-aware security, decision analysis},
isbn = {978-1-63190-005-1},
acmid = {2762750}
}
R. I. Muhamedyev, V. G. Dmitriyev, M. M. Maratov, I. M. Ualiyeva, B. Taishmanov, E. L. Muhamedyeva, D. V. Zagulova, und A. T. Mansharipova, "The web portal "Active longevity of Kazakhstan population": Actuality, objectives, functions and preliminary results" in Proc. Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on, 2012.
doi: 10.1109/SCIS-ISIS.2012.6505237
@inproceedings{Muhamedyev:2012:ActiveLongevityKaz, title = {The web portal "Active longevity of Kazakhstan population": Actuality, objectives, functions and preliminary results},
author = {Muhamedyev, R.I. and Dmitriyev, V.G. and Maratov, M.M. and Ualiyeva, I.M. and Taishmanov, B. and Muhamedyeva, E.L. and Zagulova, D.V. and Mansharipova, A.T.},
year = {2012},
booktitle = {Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on},
pages = {571-576},
doi = {10.1109/SCIS-ISIS.2012.6505237},
keywords = {age issues;cardiology;diseases;geriatrics;medical information systems;personal information systems;portals;Active longevity of Kazakhstan population;ICT;USSR;Web portal;active life duration;aging aspects;cardiovascular diseases;elderly age;epidemiological screening;frequency occurrence analysis;generalized information;gerontological RK portal;income level;information and communication technologies;information exchange platform;personalized information;research result publishing;Kazakhstan population;cardiovascular diseases;epidemiological screening;gerontology;information technology},
abstract = {Increasing the duration of active life is one of the most important problems in modern gerontology in the world, including Kazakhstan. First, the solution of these problems is associated with using information and communication technologies (ICT). Gerontological RK portal, which has no analogues in countries of the former USSR, will include information on major aspects of the aging in RK. Portal will be a platform for exchange of experiences, publishing of research results, for getting generalized and personalized information. This paper describes the main elements of the portal and presents preliminary results of frequency occurrence analysis of cardiovascular diseases in elderly age and income level of the respondent on the basis of epidemiological screening, performed on the basis of data collected on our site.},
month = {Nov}
