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A survey of simulation techniques in commerce and defence
Despite the developments in Modelling and Simulation (M&S) tools and techniques over the past years, there has been a gap in the M&S research and practice in healthcare on developing a toolkit to assist the modellers and simulation practitioners with selecting an appropriate set of techniques. This study is a preliminary step towards this goal. This paper presents some results from a systematic literature survey on applications of M&S in the commerce and defence domains that could inspire some improvements in the healthcare. Interim results show that in the commercial sector Discrete-Event Simulation (DES) has been the most widely used technique with System Dynamics (SD) in second place. However in the defence sector, SD has gained relatively more attention. SD has been found quite useful for qualitative and soft factors analysis. From both the surveys it becomes clear that there is a growing trend towards using hybrid M&S approaches
Review and Comparison of Intelligent Optimization Modelling Techniques for Energy Forecasting and Condition-Based Maintenance in PV Plants
Within the field of soft computing, intelligent optimization modelling techniques include
various major techniques in artificial intelligence. These techniques pretend to generate new business
knowledge transforming sets of "raw data" into business value. One of the principal applications of
these techniques is related to the design of predictive analytics for the improvement of advanced
CBM (condition-based maintenance) strategies and energy production forecasting. These advanced
techniques can be used to transform control system data, operational data and maintenance event data
to failure diagnostic and prognostic knowledge and, ultimately, to derive expected energy generation.
One of the systems where these techniques can be applied with massive potential impact are the
legacy monitoring systems existing in solar PV energy generation plants. These systems produce a
great amount of data over time, while at the same time they demand an important e ort in order to
increase their performance through the use of more accurate predictive analytics to reduce production
losses having a direct impact on ROI. How to choose the most suitable techniques to apply is one of
the problems to address. This paper presents a review and a comparative analysis of six intelligent
optimization modelling techniques, which have been applied on a PV plant case study, using the
energy production forecast as the decision variable. The methodology proposed not only pretends
to elicit the most accurate solution but also validates the results, in comparison with the di erent
outputs for the di erent techniques
The CLAWAR project
In Europe, there are two main thematic groups focusing on
robotics, the Climbing and Walking Robots (CLAWAR)
project (http://www.clawar.net) and the European Robotics
Network (EURON) project (http://www.euron.org).
The two networks are complementary: CLAWAR is
industrially focused on the immediate needs, and EURON is
focused more on blue skies research. This article presents the activities of the CLAWAR project
An ontology framework for developing platform-independent knowledge-based engineering systems in the aerospace industry
This paper presents the development of a novel knowledge-based engineering (KBE) framework for implementing platform-independent knowledge-enabled product design systems within the aerospace industry. The aim of the KBE framework is to strengthen the structure, reuse and portability of knowledge consumed within KBE systems in view of supporting the cost-effective and long-term preservation of knowledge within such systems. The proposed KBE framework uses an ontology-based approach for semantic knowledge management and adopts a model-driven architecture style from the software engineering discipline. Its phases are mainly (1) Capture knowledge required for KBE system; (2) Ontology model construct of KBE system; (3) Platform-independent model (PIM) technology selection and implementation and (4) Integration of PIM KBE knowledge with computer-aided design system. A rigorous methodology is employed which is comprised of five qualitative phases namely, requirement analysis for the KBE framework, identifying software and ontological engineering elements, integration of both elements, proof of concept prototype demonstrator and finally experts validation. A case study investigating four primitive three-dimensional geometry shapes is used to quantify the applicability of the KBE framework in the aerospace industry. Additionally, experts within the aerospace and software engineering sector validated the strengths/benefits and limitations of the KBE framework. The major benefits of the developed approach are in the reduction of man-hours required for developing KBE systems within the aerospace industry and the maintainability and abstraction of the knowledge required for developing KBE systems. This approach strengthens knowledge reuse and eliminates platform-specific approaches to developing KBE systems ensuring the preservation of KBE knowledge for the long term
The CLAWAR project
In Europe, there are two main thematic groups focusing on
robotics, the Climbing and Walking Robots (CLAWAR)
project (http://www.clawar.net) and the European Robotics
Network (EURON) project (http://www.euron.org).
The two networks are complementary: CLAWAR is
industrially focused on the immediate needs, and EURON is
focused more on blue skies research. This article presents the activities of the CLAWAR project
Load flow studies on stand alone microgrid system in Ranau, Sabah
This paper presents the power flow or load flow analysis of Ranau microgrid, a
standalone microgrid in the district of Ranau,West Coast Division of Sabah. Power
flow for IEEE 9 bus also performed and analyzed. Power flow is define as an
important tool involving numerical analysis applied to power system. Power flow
uses simplified notation such as one line diagram and per-unit system focusing on
voltages, voltage angles, real power and reactive power. To achieved that purpose,
this research is done by analyzing the power flow analysis and calculation of all the
elements in the microgrid such as generators, buses, loads, transformers,
transmission lines using the Power Factory DIGSilent 14 software to calculate the
power flow. After the analysis and calculations, the results were analysed and
compared
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