We aimed at discovering how auditors working in an auditing firm managed their knowledge-related processes, and then built a theoretical model for the knowledge management of professional knowledge-intensive services like auditing. We conducted a case study in an auditing firm in Vietnam by...

This article describes how culture-based tourism is a way to learn different cultures and gain appreciation of the inner value of heritages. However, to fully realize those values, visitors need extensive knowledge in several aspects that are scattered in domains; culture-based tourism thus does...

Determining the structure of words in the text for the operations such as automated information extraction and text summarization of the text is essential. In computers, textual analysis to define the type of the word is considered as a vital advantage. Defining the types of words provides an...

This article aims to propose a novel hybrid forecasting model involving autoregressive integrated moving average (ARIMA), artificial neural networks (ANNs) and k-means clustering. The single models and k-means clustering are used to build the hybrid forecasting models in different levels of...

This article proposes an abstract machine, known by the acronym FM, for modeling behavior currently described by finite state machines (SMs) in conjunction with related notions such as state and event. Although the SM concept was born more than 50 years ago and is widely applied in hardware...

The aim of this article is to present the project framework for constructing a Software Process Simulation Modeling (SPSM) system. SPSM systems can be used as a virtual environment for the selection of methods and tools of project management in IT support organizations. The constructed system...

Telemedicine systems are inherently distributed, but, especially in the context of the Internet-of-Things, their complete physical configuration may only be determined after design time by considering, for example, the individual patient's needs. Therefore, to enable pervasive and...

Supporting anomaly analysis in the maritime field is a challenging problem because of the dynamic nature of the task: the definition of abnormal or suspicious behaviour is subject to change and depends on user interests. This paper provides a novel approach to support anomaly analysis in the...

A new method is proposed to increase the reliability of generating symbolic plans by extending the Semantic-Knowledge Based (SKB) plan generation to take into account the amount of information and uncertainty related to existing objects, their types and properties, as well as their relationships...

Evolutionary Algorithms (EA) have proven to be very effective in optimizing intractable problems in many areas. However, real problems including specific constraints are often overlooked by the proposed generic models. The authors' goal here is to show how knowledge engineering techniques can be...