Complex Systems Informatics and Modeling Quarterly
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Selected Topics on Information Management in Complex Systems: Editorial Introduction to Issue 24 of CSIMQ
Get PDFComplex systems consist of multiple interacting parts; some of them (or even all of them) may also be systems. While performing their tasks, these parts operate with multiple data and information flows. Data are gathered, created, transferred, and analyzed. Information based on the analyzed data is assessed and taken into account during decision making. Different types of data and a large number of data flows can be considered as one of the sources of system complexity. Thus, information management, including data control, is an important aspect of complex systems development and management.According to ISO/IEC/IEEE 15288:2015, “the purpose of the Information Management Process is to generate, obtain, confirm, transform, retain, retrieve, disseminate and dispose of information, to designated stakeholders…”. Information management strategies consider the scope of information, constrains, security controls and information life cycle. This means that information management activities should be implemented starting from the level of primitive data gathering and ending with enterprise-level decision making.The articles, which have been recommended by reviewers for this issue of CSIMQ, present contributions in different aspects of information management in complex systems, namely, implementation of harmful environment monitoring and data transmitting by Internet-of-Things (IoT) systems, analysis of technological and organizational means for mitigating issues related to information security and users’ privacy that can lead to changes in corresponding systems’ processes, organization and infrastructure, as well as assessment of potential benefits that a controlled (i.e. based on the up-to-date information) change process can bring to an enterprise
Sinusoidal Neural Networks: Towards ANN that Learns Faster
Get PDFIf everything is a signal and combination of signals, everything can be represented with Fourier representations. Then, is it possible to represent a signal with a conditional dependency to input data? This research is devoted to the development of Sinusoidal Neural Networks (SNNs). The motivation to develop SNNs is to design an artificial neural network (ANN) algorithm that can learn faster. A short review of the history of biological neurons helps to identify components that should be redesigned in ANNs. After the components are identified, a new neural network algorithm called SNN is proposed. Experiments are conducted to show the practical results of the algorithm. According to the experiments, the proposed neural network can reach high accuracy rates faster than the standard neural networks, while an interesting generalization capacity is obtained for the developed algorithm. Even though the promising results are achieved, further research is necessary to test if SNNs are capable of learning faster than existing algorithms in real-life cases
Enterprise Architecture Frameworks as Support for Implementation of Regulations: Approach and Experiences from GDPR
Get PDFEnterprise Architecture (EA) management has been discussed as being supportive for implementation of regulations in enterprises and organizations, but the role of EA frameworks in this context has not been addressed intensely. The EU General Data Protection Regulation (GDPR) is one of the most frequently discussed regulation in industry and research, and expected to cause a shift in viewpoint of enterprises from a technological perspective dominated by information security issues to an organizational perspective governed by GDPR-compliant organizational structures and processes. A well-documented Enterprise Architecture (EA) and a working Enterprise Architecture Management (EAM) organization are expected to significantly ease the roadmap planning for GDPR implementation. Therefore, this article focuses on the practice of EA use for GDPR implementation. The main contributions of this article are (a) an analysis and comparison of existing architecture frameworks and how they address security-related issues, and (b) a case study from financial industries illustrating the use of EA for implementing GDPR compliance
Automatic Detection of County Lines Criminal Scheme
Get PDFCounty lines are a new type of criminal activity in the UK in which young people are being forced to participate in drug dealing. This article presents an application of an unsupervised machine learning technique to detect such cases among a bank’s clients, using financial and spatial data. It proposes and presents a system for detecting county lines crime schemes and uses the example of integrating spatial analysis into financial crime detection. The initial results will be a base for further research
A Modeling Method for Model-Driven API Management
Get PDFThis article reports on the Design Science engineering cycle for implementing a modeling method to support model-driven, process-centric API management. The BPMN standard was hereby enriched on semantic, syntactic and tool levels in order to provide a viable solution for integrating API requests with diagrammatic business process models in order to facilitate the documentation or testing of REST API calls directly in a modeling environment. The method can be implemented by stakeholders that need to map and manage their API ecosystem, thus gaining more API management agility and improving their software engineering productivity. By assimilating API ecosystem conceptualization in the modeling environment, the proposal differs from both RPA (which typically employs non-BPMN process diagramming e.g., in UIPath) and BPM Systems (which typically isolate all API-related semantics outside the process modeling language to keep the diagrammatic representation standard-compliant)
Selected Topics on Complex Systems Informatics: Editorial Introduction to Issue 23 of CSIMQ
Get PDFComplex systems and their analysis, construction, management or application are the motivation of all articles in this issue of CSIMQ. Different perspectives exist on what actually causes “complexity” in systems. In systems theory, a widely spread view is that complex systems have many components with emergent behavior, i.e. the large number and the dynamics of components are decisive. In business informatics, the complexity of information systems is attributed to their socio-technical nature, which acknowledges the interaction between the human actors and the information technology in an enterprise. Understanding the context of complex systems or their components is supported by modeling and is a key aspect of preparing organizational solutions. Models do not remove the complexity of the real world but help to understand it and to design and develop solutions. All articles in this issue are in some respect concerned with models or modeling. The articles also reflect recent trends in industry and society, such as digital transformation and applications of artificial intelligence, and show that these trends will not necessarily reduce complexity in systems but rather require the combination of proven approaches, such as modeling, and new methods for managing this complexity
Analytics-Enabled Adaptive Business Architecture Modeling
Get PDFIn a changing competitive business landscape, organizations are challenged by traditional processes and static document-driven business architecture models or artifacts. This marks the need for a more adaptive and analytics-enabled approach to business architecture. This article proposes a framework for adaptive business architecture modeling to address this critical concern. This research is conducted in an Australian business architecture organization using the action design research (ADR) method. The applicability of the proposed approach was demonstrated through its use in a health insurance business architecture case study using the Tableau and Jalapeno business architecture modeling platform. The proposed approach seems feasible to process business architecture data for generating essential insights and actions for adaptation
Emerging Tools for Design and Implementation of Water Quality Monitoring Based on IoT
Get PDFThe article provides a conceptual framework for developing real-time water monitoring system based on IoT technology. The process, strategy and knowledge base for multidisciplinary research on IoT systems and prerequisites for real-world application of IoT technology into continuous water quality monitoring are discussed. The study expands current efforts aimed at leveraging customized IoT solutions for better instrumentation and the continued integration of sensor data into networks. The process of system design from scratch and base components of IoT-based water quality monitoring system for surface water are described. While the focus of this article is on system design, opportunities to improve the system components for the management of water resources with continuous water quality monitoring are much broader. In this view, perspectives and development issues of IoT-based water quality monitoring are also discussed
The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements
Get PDFThe concept of collaborative networks has been encountered very often lately as the answer when trying to adapt and improve enterprises in these highly competitive business environments, therefore the urge for constantly addressing this topic. A lot of work-related to collaborative networks has been done so far, from defining network types to leveling partnerships and proposing models for partnership developments. But the lack of tackling a very important obstacle, which is the difficulty of detecting and anticipating collaboration opportunities between enterprises, inspired this research. In this article, a new theoretical opportunity detection approach is proposed based on enterprise characterization concept, KPI classification as well as collaboration types. This detection approach is a table of industrial classifications that imitates the Mendeleev periodic table from the concept point of view. A fictional example from an industrial context is shown to explain the usage of this approach accompanied by discussion about future work and limitations
Usability as Speculum Mundi: A Core Concept in Socio-technical Systems Development
Get PDFUsability covers the breadth and depth of the rich interaction of users and technology in the socio-technical context. Though the concept of usability is well established, the integration of usability thinking in system development is challenging, partly due to the difficulty in understanding the importance of usability and justifying the costs incurred by usability work. This article aims to bring forth three fundamental attributes of usability that originate in classical architecture design, namely, utilitas, firmitas, and venustas. We provide a model of conceptualizing usability as speculum mundi, a lens through which the impacts of interaction at all levels of the organization and society can be identified by drawing parallels between the Vitruvian design principles and the paradigms of usability conceptualization. We restate the importance of the concept of usability in the context of socio-technical systems