This article describes the expert strategic approach for obtaining the strategic information from the auction system. It discusses the basic problem such as identification of the auctions and here it concerns the items set to sale on the auction system. The expert rules are compiled and dynamically adjusted on basis of the defined parameters, keywords, price range and tracking of historical price trends. These rules assign the unique identifiers to the separate commodities. Data obtained this way are then subsequently used to monitor the price of the commodity or the commodity group. The article describes both the theoretical and technical realization of the expert system with using the open source components. Possibilities for further development and use of the collected data are also discussed. It describes the method of importing data into the public system. The data are then processed into graphs and tables watching market trends and development. The information is used for modeling the portfolio of e-commerce customer.
Abstract. The goal of this report is to show the results we achieved in the field of autonomous indoor illuminance measurement. At the beginning of the paper the state of the art measurement methodology is shown. It is followed by the description of the robotic unit we designed for the purpose of automation of the measurement process. Moreover, the algorithm for measurement process is described in detail. The rest of the paper deals with possible improvements of the robotic platform mainly by adding new sensors and by adding the illuminance vector measurement unit.
<p class="Abstract">The acoustic noise level in the interior is
one of the quantities specified by a standard and is subject to audits to
ensure a comfortable living environment. Currently, the noise level audits
are performed manually by a skilled operator, who evaluates the floor plan
and uses it to calculate the control points location in which the
measurement is performed. The computation is proposed to automate the audit
by formulating an optimisation problem for which an algorithm was designed.
The algorithm computes the solution that satisfies all constraints specified
in the standard, for example, the minimum distance among the control points
and fixed obstacles (walls or columns). In the proposed optimisation
problem, the fitness function was designed based on the measurement purpose,
and two typical use-cases were analysed: (i) long-term stationary noise
measurement and (ii) recurring short-term noise measurement. Although the
set of control points for both use cases complies with the given standard,
it is beneficial to distinguish the location of control points based on the
measurement purpose. The number of control points is maximised for the
stationary noise and for the immediate coverage area for the short-term
noise. The proposed algorithms were tested in a simulation for several floor
plans of different complexity.</p>
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