Search results for "Systems engineering"
showing 10 items of 1230 documents
Smart Technologies in Software Life Cycle
2007
In software life cycle models traditionally the main attention is being paid to the software development, including requirement gathering (specification), design, implementation and testing. Less research is devoted to the system maintenance and operation despite the fact that these aspects take up the main part of the duration of a successful system. In the paper smart technologies are being analysed - architectural designs and software components which using meta information on system and its usage conditions are able to solve efficiently the problems of maintenance and usage: data quality and performance monitoring, software flexibility and testability, context dependant user interface. …
Model for Evolution of a Vertical Software Industry
2009
The interaction of the primary and secondary software industries appears to follow a common pattern, which has been described in the model for evolution of a vertical software industry (Tyrvainen et al. 2008). The evolution is seen as iterating through several phases, shown in Fig. 1 and described below.
Applying of Smart Technologies: Evaluation of Effectiveness
2012
This paper is dedicated to various aspects and perspectives of applying the smart technologies in software solutions. Based on experience acquired during software development projects, the author proposes criteria to evaluate the effectiveness of enhancing of existing products with smart technologies. The evaluation of effectiveness can be used to support decision making on implementing the smart technologies in existing products or products in development.
Influence of material properties variability on springback and thinning in sheet stamping processes: a stochastic analysis
2010
A very critical issue for stamping operations is the improvement of process robustness. The reliability of final results, in fact, strongly depends on the intrinsic variability due to stochastic behavior of many parameters, namely, operative ones and material properties. A given process performance may undergo a variation around the value which would be obtained neglecting stochastic behaviors of the operative or material parameters (i.e., considering a deterministic parameters behavior). Such variation introduces a significant source of uncertainty within the process design: a possible consequence may be the rejection of some stamped parts. In this paper, reliability analyses aimed to evid…
Piezoelectric Rainfall Energy Harvester Performance by an Advanced Arduino-Based Measuring System
2018
This paper presents the performances of rainfall energy harvesting through the use of a piezoelectric transducer and an Arduino-based measuring system. Different studies agree on the possibility of generating electricity from rainfall, but to date, a study on measuring the quantity of energy produced during rainfall is still missing. The present study begins with results obtained from laboratory researchers using piezoelectric transducers and oscilloscopes, finalized to measure the energy produced from a single raindrop, and concludes with an ad hoc Arduino-based measuring system, aimed to measure the actual amount of electrical energy produced by a piezoelectric transducer that is exposed …
A Functional Framework for Evaluating Method Engineering Environments: the case of Maestro II/ Decamerone and MetaEdit+
1996
CASE environments with method customisation capabilities and Computer Aided Method Engineering (CAME) environments have emerged during the last few years. While many research papers discuss the principles of method engineering and suggest requirements for new environments, we do not have critical evaluations of CAME environments using a wider method engineering framework. The aims of this study are twofold: 1) to build a preliminary framework for comparative studies of CAME environments, and 2) to increase the knowledge of the ‘state of the art’ in CAME by evaluating two CAME environments. We adapt a functional framework — originally built for CASE technology — to examine the following two …
Fuzzy Adaptive EKF Motion Control for Nonholonomic and Underactuated Cars with Parametric and non Parametric Uncertainties
2007
A new fuzzy adaptive motion control system including on-line extended Kalman''s filter (EKF) for wheeled underactuated cars with non-holonomic constraints on the motion is presented. The presence of parametric uncertainties in the kinematics and in the dynamics is treated using suitable differential adaptation laws. We merge adaptive control with fuzzy inference system. By using fuzzy system, the parameters of the kinematical controller are functions of the lateral, longitudinal and orientation errors of the motion. In this way we have a robust control system where the dynamics of the motion errors is with lower time response than the adaptive control without fuzzy. Also Lyapunov''s stabili…
Two-stage procedure based on smoothed ensembles of neural networks applied to weed detection in orange groves
2014
The potential impacts of herbicide utilization compel producers to use new methods of weed control. The problem of how to reduce the amount of herbicide and yet maintain crop production has stimulated many researchers to study selective herbicide application. The key of selective herbicide application is how to discriminate the weed areas efficiently. We introduce a procedure for weed detection in orange groves which consists of two different stages. In the first stage, the main features in an image of the grove are determined (Trees, Trunks, Soil and Sky). In the second, the weeds are detected only in those areas which were determined as Soil in the first stage. Due to the characteristics …
A New Generalized Robust Predictive Current Control for Grid-Connected Inverters Compensates Anti-Aliasing Filters Delay
2016
In this paper, a new predictive control for grid-connected inverters is presented, which provides the best performance in terms of transient response and stability margins when analog filters in current sensing circuits are used. These filters are necessary to avoid aliasing in the A/D conversion process, which causes an important ripple on injected current into the grid and increases the total harmonic distortion. However, predictive controls are very sensitive to delays on the acquisitions, so when such anti-aliasing filters are used a reduction of stability margins is produced and the transient response is affected. The proposed predictive control allows to compensate the effect of the f…
Method for designing PI-type fuzzy controllers for induction motor drives
2001
The paper illustrates a new systematic method for designing PI-type fuzzy controllers for direct field-oriented controlled induction motor drives. First, linear and decoupled models expressing the dynamics of speed, rotor flux, direct and inquadrature stator currents are derived using a nonlinear static compensator and choosing convenient input variables. Then, to guide the dynamics of the above quantities, four conventional PI controllers are designed independently, choosing their bandwidths conveniently. Finally, the input and output scale factors of PI-type fuzzy controllers are derived from the conventional PI controller parameters. The whole drive controller also includes a rotor flux …