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Alesund, Norway

Aalesund University College is a medium sized institution of higher education in Norway with more than 2000 students and approximately 150 employees.AAUC was founded in 1994 as a result of the reorganisation of professional higher education in Norway. Three former colleges in Aalesund, the College of Marine Studies, the College of Engineering and Aalesund College of Nursing were then merged into one institution.The college is divided into five faculties: Faculty of Health science Faculty of International Marketing Faculty of Life science Faculty of Engineering and Natural science Faculty of Maritime Technology and Operations↑ Wikipedia.

Shaker H.R.,Aalesund University College | Tahavori M.,University of Aalborg | Tahavori M.,Imperial College London
IEEE Transactions on Automatic Control | Year: 2014

In this technical note, a new method for model reduction of bilinear systems is presented. The method is developed in particular for many applications in which one is interested to approximate a system in a given frequency-interval. To this end, new generalized frequency-interval gramians are introduced for bilinear systems. It is shown that these gramians are the solutions to the so-called frequency-interval generalized Lyapunov equations. The conditions for these equations to be solvable are derived and an algorithm is proposed to solve such equations iteratively. The method is further illustrated with the help of an illustrative example. The numerical results show that the method is more accurate than its previous counterpart which is based on the ordinary gramians. © 1963-2012 IEEE. Source

Shaker H.R.,Aalesund University College | Shaker F.,Islamic Azad University at Kazeroon
Journal of Process Control | Year: 2014

An appropriate control configuration selection is identified as one of the key prerequisites for attaining the control objectives in industrial practices. To select a suitable control configuration, it is important to determine which variables should be measured and how the process should be actuated. Therefore, the first step is to determine the optimal locations for the sensors and actuators. For the multivariable processes, this step is followed by choosing the appropriate input and output pairs for the design of SISO (or block) controllers. This is due to the popularity of the distributed and decentralized control in industrial control systems. These issues, which have been studied extensively for deterministic systems, have not been closely studied for stochastic systems. In this paper however the problem of control configuration selection is studied for the linear stochastic systems. The problem of selecting the sensor locations for stochastic systems is viewed as the problem of maximizing the output energy generated by a given state and for the actuator locations is viewed as the problem of minimizing the input energy required to reach a given state. Furthermore, a gramian-based interaction measure for control structure selection of multivariable stochastic systems is proposed. This interaction measure can be used to propose a richer (sparse or block diagonal) controller structure for distributed and partially decentralized control. © 2013 Elsevier Ltd. Source

Shaker H.R.,Aalesund University College | Shaker F.,Islamic Azad University
Nonlinear Dynamics | Year: 2014

This paper deals with the stability of continuous-time multidimensional nonlinear systems in the Roesser form. The concepts from 1D Lyapunov stability theory are first extended to 2D nonlinear systems and then to general continuous-time multidimensional nonlinear systems. To check the stability, a direct Lyapunov method is developed. While the direct Lyapunov method has been recently proposed for discrete-time 2D nonlinear systems, to the best of our knowledge what is proposed in this paper are the first results of this kind on stability of continuous-time multidimensional nonlinear systems. Analogous to 1D systems, a sufficient condition for the stability is the existence of a certain type of the Lyapunov function. A new technique for constructing Lyapunov functions for 2D nonlinear systems and general multidimensional systems is proposed. The proposed method is based on the sum of squares (SOS) decomposition, therefore, it formulates the Lyapunov function search algorithmically. In this way, polynomial nonlinearities can be handled exactly and a large class of other nonlinearities can be treated introducing some auxiliary variables and constrains. © 2013 Springer Science+Business Media Dordrecht. Source

Leydesdorff L.,University of Amsterdam | Strand O.,Aalesund University College
Journal of the American Society for Information Science and Technology | Year: 2013

Based on the complete set of firm data for Sweden (N = 1,187,421; November 2011), we analyze the mutual information among the geographical, technological, and organizational distributions in terms of synergies at regional and national levels. Using this measure, the interaction among three dimensions can become negative and thus indicate a net export of uncertainty by a system or, in other words, synergy in how knowledge functions are distributed over the carriers. Aggregation at the regional level (NUTS3) of the data organized at the municipal level (NUTS5) shows that 48.5% of the regional synergy is provided by the 3 metropolitan regions of Stockholm, Gothenburg, and Malmö/Lund. Sweden can be considered a centralized and hierarchically organized system. Our results accord with other statistics, but this triple helix indicator measures synergy more specifically and quantitatively. The analysis also provides us with validation for using this measure in previous studies of more regionalized systems of innovation (such as Hungary and Norway). © 2013 ASIS&T. Source

Havold J.I.,Aalesund University College
Safety Science | Year: 2015

This paper reports result from a survey on 157 navigators (bridge officers) from eight offshore companies operating in the North Sea. The questionnaire measured stress, work pressure and sleep/rest (fatigue). Sleep/rest and work pressure explained around 35% of the variation in stress. Work pressure increases stress, and sleep and rest reduce stress both directly and through reduced work pressure. A positive work climate/supportive culture reduces stress on the bridge substantially through reducing work pressure and improving sleep and rest quality. The research indicates that age and the length of time that respondents have been seafarers do not have any influence on stress. However, a significant difference at the 10% significance level was found in relation to occupation (between first mate and other navigators). Around 30% of the respondents reported unsatisfactory sleep and rest during a normal day. More than 10% of the respondents reported that senior management was not interested in their health and safety, and more than 15% of the officers reported that they took short cuts to get their work done. © 2014 Elsevier Ltd. Source

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