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Cyber-Physical-Social Systems (CPSSs) integrate various resources from physical, cyber, and social worlds. Efficient interaction of these resources is essential for CPSSs operation. Ontologies do not only provide for semantic operability between different resources but also provide means to create sharable ontology-based context models specified for actual settings. Usage of the context supports situation-driven...
Transaction context is an important aspect that should be taken into account for reputation-based trust assessment, because referrals are bound to the situation-specific context in which they were created. The non-consideration of transaction context may cause several threats such as the value imbalance problem. Exploiting this weakness, a seller can build high reputation by selling cheap products...
Service delivery optimization is a challenge for most service organizations. Most organizations tend to allocate tasks to service workers using simple (and often ad-hoc) policies without leveraging explicit optimization techniques for resource allocation. This is, in part, due to the difficulty of modeling the resource allocation problem in the context of the complex social setting in which service...
In this paper the problem of discovering a Petri net (PN) from sampled events sequences representing the execution of industrial or business processes is addressed A method for building a 1-bounded PN from a single event sequence S composed of numerous execution traces is presented; it is based on determining causal and concurrency relations between tasks. A technique for computing the t-invariants...
This article aims to bring to the attention of European standard regulation bodies, the need of revaluing the importance of Human Factor (HF) in railway operation organizational processes. Roles and primary importance conditions for safety assurance are underlined in the paper and methodological approaches to the HF evaluation based upon deductive conclusion rather than inductive ones are suggested...
In a multi-disciplinary engineering project, such as the parallel engineering of industrial production plants, domain experts want to efficiently monitor project-level constraints that depend on technical parameter values in local engineering models. However, the heterogeneous representations of constraint parameters in these engineering models make the automation of constraint monitoring difficult...
The objective of this paper was to develop an immersive Web-based learning model to assure the quality of learning through the flipped classrooms. The proposed model was guided theoretically by the flipped classroom as a new Web-based learning trend. It was also guided pedagogically by active and reflective learning principles that support transforming the teaching and learning practices from content...
Goal models have established themselves as a means to capture often conflicting needs of stakeholders and reason about how alternative solutions may impact those needs, allowing for trade-off assessments at the early stages of development. More recently, goal models have been extended with the notion of indicators that allow quantitative, real-life measurements to be used in addition to qualitative...
Computational vision and biomedical image have made tremendous progress of the past decade. This is mostly due the development of efficient learning and inference algorithms which allow better, faster and richer modeling of visual perception tasks. Graph-based representations are among the most prominent tools to address such perception through the casting of perception as a graph optimization problem...
The objective of the research is to provide a novel methodology and a set of ICT solutions for collaborative design of cyber-physical based product-services. The products which include cyber-physical features, such as Ambience Intelligence (AmI) features, have to be extended with new services. Development of such products and services requires collaborative work of various stakeholders. A Cloud Manufacturing...
We present an approach to make planning adaptive in order to enable context-aware mobile robot navigation. We integrate a model-based planner with a distributed learning system based on reservoir computing, to yield personalized planning and resource allocations that account for user preferences and environmental changes. We demonstrate our approach in a real robot ecology, and show that the learning...
The cash balances of businesses have recently become one of the main topics of interest in the financial area. As a result of this interest, several studies and theories have been applied to this field, mainly to larger companies, and with a lesser application to the universe of small businesses. Portuguese business context is mainly composed by owner managed companies of the small businesses. The...
New approaches are required to guide social and economic systems in a context presenting a deep change in the meaning of value and in ways to generate it. Until now, policies and strategies, at macro as well as microeconomic level, have focused on closed systems (the great “containers” of the industrial era), and on profits coming from the exchange of goods and services. Nonetheless, the growing misalignment...
The management of IT services is increasingly driven by the necessity of cost reduction and quality improvement. As a result, new organizational models have been created and implemented aiming at achieving economies of scale, while improving customer satisfaction and experience has been one of the main focuses of recent research in Service Science. In this context, translating business elements and...
Business Process Models (BPMs) are widely used for documentation and (model driven) software development. Due to the increasing complexity of BPMs automated checking is unavoidable to ensure the quality of BPMs. This requires formal specification methods that address high level (domain-specific) requirements (e.g. Compliance) in a manner that is comprehensible for stakeholders without mathematical...
The most reliable way to forecast the future is to try to understand the present and thus, accordingly we have set our prior objective as the analysis of the present scenario of the Indian Stock Market so as to understand and try to create a better future scope for investment. On this context, we have collected data on the monthly closing stock indices of sensex for six years(2007–2012) and based...
The progress of service-dominant logic and service science, and their expanding theoretical basis, has created ambiguities in relation to understanding the micro-foundations of value co-creation. Based on a conceptual analysis of resource integration and value proposing as the foundational practices of value co-creation, this article portrays value propositions as the co-created forms of shared resources...
The increasing availability of digital data offers new opportunities for analyzing business processes. Process aware information systems like Enterprise Resource Planning systems store data in the course of transaction processing. This data can be exploited by using process mining techniques. Process mining algorithms produce process models by analyzing recorded event logs. A fundamental challenge...
Chinese government has long been striving to promote the development of e-government in near several years through utilized lots of information communication technologies (ICT) in public sectors for accelerating administrative transformation. The e-government projects from different sectors of Chinese government, however, often start from multi-objectives and perform in thousands different ways. For...
This paper examines Ecological Metadata Language (EML) as a generative platform facilitating new ecological research. It reflects on literature about the EML platform, and on the EML platform itself. First, it identifies a substantial gap in literature about use of the EML platform for intended research. Second, it identifies some strengths and weaknesses of the EML platform to support research about...
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