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This paper presents a measure intended to quantify the relative strategic depth of games as experienced by human players. The measure is based on the complexity (number and specificity of rules) of a hierarchical knowledge base that is extracted from playtraces. As a proof-of-concept, we compute the proposed measure for three arcade-style games and compare the results to the strategic depth reportedly...
As knowledge bases are constantly evolving, there is a clear need for monitoring and analyzing the changes that occur on them. Traditional approaches for studying the evolution of data focus on providing humans with deltas that include loads of information. In this work, we envision a processing model that recommends evolution measures taking into account particular challenges, such as relatedness,...
The focus of the Internet has recently shifted from current computers and mobile devices to everyday objects, people, and places; consequently, the Internet of Things (IoT) promises to be not only a compelling vision but the actual driving force of the upcoming fourth Industrial Revolution. Novel cyber-physical, customized, and highly pervasive services are impacting our lives, involving several stakeholders...
The functional diagnosis expert system based on knowledge base in the form of neuro-fuzzy network was proposed in this paper. Current values of diagnostic parameters are measured by sensors. The hybrid expert diagnostic system with neuro-fuzzy network knowledge base supports decisions in the situation when the diagnosis algorithm is not known and is formed from the initial data in the form of production...
This paper presents test environment that is intended to support e-learning in software engineering education. The environment is part of the Virtual Education Space [8] and consists of two operatives named Questioner Operatives. They support automatic generation and assessment of the test questions by using ontologies. These operatives are implemented as intelligent agents that use structured educational...
This paper presents some of the results of the EU-funded project PANDORA — Persistent Autonomy Through Learning Adaptation Observation and Re-planning. The project was three and a half years long and involved several organisations across Europe. The application domain is underwater inspection and intervention, a topic particularly interesting for the oil and gas sector, whose representatives constituted...
Worldwide, buildings account for ca. 40% of the total energy consumption and ca. 20% of the total CO2 emissions. While most of the energy goes into primary building use, a significant amount of energy is wasted due to malfunctioning building system equipment and wrongly configured Building Management Systems (BMS). For example, wrongly configured setpoints or building equipment, or misplaced sensors...
Every day, new engine configurations or engine parts are tested in Snecma's test benches. During each test, up to two thousand sensors capture every bit of information generated by the engine or the bench cell itself. It is extremely difficult to manually analyze all this data. Due to the huge amount of data and their diversity, specialists who analyze them can miss interesting information that could...
Internet of Things-aware process execution imposes new requirements on process modeling, that are outside the scope of current modeling languages. Internet of Things (IoT) devices may vanish, appear or stay unknown during process execution. Therefore, design time process resource allocation is not feasible. Additionally, device capabilities are only available in a certain real world context at runtime,...
Specifying and selecting actuation and instrumentation devices under the analysis of multiple requirements is a complex and labor-intensive step within the engineering of process plants. In industrial practice, this task is usually conducted following a product-oriented approach, i.e. devices are selected based on vendor-specific product catalogues and typically considering only known or previously...
Computer-based fault diagnosis systems are normally designed for system experts. This necessitates involvement of trained experts in the maintenance and repair process, despite the severity of the underlying fault. In many cases, particularly in the domain of home appliances, this leads to avoidable time and material costs - both for home users and manufacturer. In this paper a user-friendly diagnosis...
Information systems can be targeted by different types of attacks. Some of them are easily detected (like an DDOS targeting the system) while others are more stealthy and consist in successive attacks steps that compromise different parts of the targeted system. The alarm referring to detected attack steps are often hidden in a tremendous amount of notifications that include false alarms. Alert correlators...
Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine...
The limitations of the classical pattern recognition algorithms may be addressed by an incremental way of learning, through which the existing knowledge base can be expanded from the information gathered solely from new set of samples. In this study, a novel incremental Self Organizing Map (i-SOM) algorithm is proposed and applied on the data generated from an electronic nose for black tea quality...
Web of Object (WoO) based Home Energy Efficiency Management System (WHEEMS) synchronizes and creates knowledge on energy efficiency management through multiple types of objects VO and CVO. They will facilitate a composition and collaboration of smart distributed applications which combines information from different domains in the IoT infrastructure. WHEEMS focuses to support residents' comfort as...
Presently a very large number of public and private data sets are available around the local governments. In most cases, they are not semantically interoperable and a huge human effort is needed to create integrated ontologies and knowledge base for smart city. In this paper, a system for the ingestion of data for smart city related aspects as road graph, services available on the roads, traffic sensors...
The process of attackers exploiting the target facilities is always gradual in cyberspace, and multiple attack steps would be performed in order to achieve the ultimate goal. How to identify the attack scenarios is one of the challenges in many research fields, such as cyberspace security situation awareness, the detection of APT (Advanced Persistent Threat) and so on. Alert correlation analysis based...
Disaster or emergency management becomes more and more important due to an increasing number of catastrophes in combination with advanced complexity of human living, working, and society. In combination with increased options for intervention, the need for related communication and coordination support increases. System allows a suitable management in combination with skilled and experienced human...
This paper proposes an integrated knowledge-based framework to design an intelligent personalized home healthcare system. To support numerous healthcare tasks according to individuals with many personalized services, this system integrates an efficient rule-based inference mechanism and flexible knowledge rules for determining efficiently and rapidly the necessary physiological and medication treatment...
Cognitive radio (CR) is viewed as a promising technology that can bring about remarkable improvement in spectrum utilization. Different cognition cycles have been proposed to direct basic research areas in CR. However, most of the existing studies only emphasize on its functional or operational aspects regardless of the intelligent core, the essential aspect, and the external aspect of cognition cycle...
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