• Analysis of Queueing Networks in Equilibrium: Numerical Steady-State Solutions of Markov Chains

      Lokshina, Izabella V.; Lanting, Cees J. M. (IGI Global, 2020)
      Equilibria of queueing networks are a means for performance analysis of real communication networks introduced as Markov chains. In this paper, the authors developed, evaluated, and compared computational procedures to obtain numerical solutions for queueing networks in equilibrium with the use of direct, iterative, and aggregative techniques in steady-state analysis of Markov chains. Advanced computational procedures are developed with the use of Gaussian elimination, power iteration, Courtois’ decomposition, and Takahashi’s iteration techniques. Numerical examples are provided together with comparative analysis of obtained results. The authors consider these procedures are also applicable to other domains where systems are described with comparable queuing models and stochastic techniques are sufficiently relevant. Several suitable domains of applicability are proposed.
    • Application of Integrated Building Information Modeling, IoT and Blockchain Technologies in System Design of a Smart Building

      Lokshina, Izabella V.; Greguš, Michal; Thomas, Wade L. (Elsevier, 2019)
      The Architecture, Engineering and Construction (AEC) industry has not adopted digital transformation enthusiastically like other industries, for instance, manufacturing, aerospace or finance. Building Information Modeling (BIM) is an innovative technology that is considered as an opportunity for the AEC industry to move to the digital era and improve the collaboration among stakeholders by applying Information and Communication Technologies (ICT). BIM provides all required tools and automations to achieve end-to-end communication, data exchange and information sharing among collaborators. Accordingly, virtual 3D models, created by the BIM process, delivered as physical assets, monitored in real-time and managed using Building Management Systems (BMS), can adopt the Internet of Things (IoT) designs and services. However, the implementation of IoT in a highly modular environment with various moving parts and inter-dependencies between stakeholders leads to security concerns. Therefore, this paper proposes system design that employs the blockchain technology as a measure to secure and control the framework that involves integrated IoT and BIM technologies. Although this paper considers system design applied in a smart museum, the authors assume that design is generic and applicable in other building categories. For instance, this design can be implemented in the ongoing Alumni Hall renovation project at State University of New York College at Oneonta.
    • A Study on Wide-ranging Ethical Implications of Big Data Technology in a Digital Society: How Likely Are Data Accidents during COVID-19?

      Lokshina, Izabella V.; Lanting, Cees J. M. (IGI Global, 2021)
      Exponential growth in the commercial use of the internet has dramatically increased the volume and scope of data gathered and analyzed by datacentric business organizations. Big Data emerged as a term to summarize both the technical and commercial aspects of these growing data collection and analysis processes. Formerly, much discussion of Big Data was focused on its transformational potential for technological innovation and efficiency; however, less attention was given to its ethical implications beyond the generation of commercial value. In this paper, the authors investigate the wide-ranging ethical implications of Big Data technology in a digital society. They inform that strategies behind Big Data technology require organizational systems, or business ecosystems, that also leave them vulnerable to accidents associated with its commercial value and known as data accidents. These data accidents have distinct features and raise important concerns, including data privacy during COVID-19. The authors suggest successful risk mitigation strategies.