ABOUT THE COMPLEXITY OF LIVING SYSTEMS MODELS

In this paper we attempt an overview of the philosophical implications of complex systems thought, and investigate how this alternative viewpoint affects our attempts to design and utilise models for living systems. We classify the types of complex system that relate to self-organisation. The overall requirements for self-organising modeling are considered and some alternative ways of looking at some specific problems that may arise are explored. As a novelty, the paper proposes various ways of moving forward in the area of practical model design.complex systems, models, practical desing

System Requirements Analysis for e-learning systems using grid

Until recent years network-based education and grid technologies were two distinct areas. But e-learning systems have been increasingly addressing learning resources sharing (text, images, video, on-line data, etc.) and reuse, interoperability and other more different modes of interactions. E-learning systems consist of complex activities and most of them have been designed based on client-server or peer to peer, and recently web services architecture. These systems have major drawback because of their limitations in scalability, availability, distribution of computing power and storage systems, as well as sharing information between users that contribute to these systems. In this context the use of grid technology reveals its utility and availability, as scalable, flexible coordinated and secure resource sharing among geographically distributed individuals or institutions, in the perspective of e-learning.networked-based, education, grid technologies, e-learning systems,resouce sharing, interoperability, standardisation.

Aerodynamic performance prediction of Darrieus-type wind turbines

The prediction of Darrieus wind turbine aerodynamic performances provides the necessarydesign and operational data base related to the wind potential. In this sense it provides the type ofturbine suitable to the area where it is to be installed. Two calculation methods are analyzed for arotor with straight blades. The first one is a global method that allows an assessment of the turbinenominal power by a brief calculation. This method leads to an overestimation of performances. Thesecond is the calculation method of the gust factor and momentum which deals with the pale as beingcomposed of different elements that don’t influence each other. This method, developed based on thetheory of the turbine blades, leads to values close to the statistical data obtained experimentally. Thevalues obtained by the calculation method of gust factor - momentum led to the concept of a Darrieusturbine, which will be tested for different wind values in the INCAS subsonic wind tunnel

Algorithms For Wireless Channel Equalization With Joint Coding And Soft Decision Feedback

The paper proposes a new approach based on Joint Entropy Maximisation (JEM) using a soft decision feedback equalizer (S-DE) to suppress error propagation. In its first section, the paper presents the principle of the solution and the theoretical framework based on entropy maximisation, which allows introducing the soft decision device without assuming that the channel distortion is Gaussian. Because JE is a non-linear function, a gradient descent algorithm is used for maximising. Then an equivalence of JEM and ISIC (Inter-Symbol Interference Cancellation) is proved in order to establish that an equalised single carrier system using coded modulation (8-phase shift keying associated with a convolution code) offers similar performances when compared with multicarrier modulation. In the second section the paper develop an adequate receiver model for joint convolution coding and S-DFE. The error correction decoder uses a standard Viterbi algorithm. The DFE consists of a feedforward finite impulse response (FIR) filter (FFF) and a feedback filter (FBF) implemented as a transversal FIR filter. FFF eliminates the precursor ISI, while FBF minimise the effect of residual ISI using soft decisions by the joint coding and equalisation process. The third main section of the paper describes the proposed method for estimating optimum soft feedback using a maximum a posteriori probability (MAP) algorithm. Then, performances of the soft decision device in a simulated environment are analysed on a structure with 8 taps for FFF and 5 taps for FBF. Since the purpose of the evaluation was to compare the proposed S-DFE with a former H-EFE, the coded packet error rate was estimated in a two-path and in a six- path channel. We have shown that in some case the proposed algorithm offers better convergence rate and robustness when compared with the corresponding existing algorithm. Some conclusions on the extension of the S-DFE techniques in vary applications are finally presented

Technical and Vocational Education in the Context of Reindustrialization. The Case of Romania

[EN] This paper aimsto analyse the feasibility of a vocational and technical education campus in Central Romania (Brașov County). We discuss the necessity for such an initiative in the context of the EU reindustrialization strategies. There is a strong correlation and a causal relationship between economic growth, reindustrialization and employment (especially youth employment). In many EU countries, youth unemployment rate is increasing, despite the fact many organizations report that they lack properly trained workforce. Definitely, skills needed to enter the labour market are diversifying; some areas are oversaturated with overqualified specialists, while others remain weak in terms of welltrained workforce. This phenomenon signals the gap between the demand for skills, on the one hand, and the skills supply, on the other hand. This paper addresses this gap by proposing a comprehensive plan for reviving technical and vocational education in Central Romania, while taking a close look to educational(i.e. distribution of seats available at high schools, depending on the branch organization of the secondary education), economic (i.e. economic crises, industrialization of community building countries) and social (i.e. unemployment rate, social groups and structures) factorsDobrescu, P.; Radu, L. (2015). Technical and Vocational Education in the Context of Reindustrialization. The Case of Romania. En 1ST INTERNATIONAL CONFERENCE ON HIGHER EDUCATION ADVANCES (HEAD' 15). Editorial Universitat Politècnica de València. 656-661. https://doi.org/10.4995/HEAd15.2015.42265666

LOW FREQUENCY DAMPER

The low frequency damper is an autonomous equipment for damping vibrations with the 1-20Hz range.Its autonomy enables the equipment to be located in various mechanical systems, without requiring special hydraulic installations.The low frequency damper was designed for damping the low frequency oscillations occurring in the circuit controls of the upgraded IAR-99 Aircraft.The low frequency damper is a novelty in the aerospace field ,with applicability in several areas as it can be built up in an appropriate range of dimensions meeting the requirements of different beneficiaries. On this line an equipment able to damp an extended frequency range was performed for damping oscillations in the pipes of the nuclear power plants.This damper, tested in INCAS laboratories matched the requirements of the beneficiary.The low frequency damper is patented – the patent no. 114583C1/2000 is held by INCAS

Mobile app for stress monitoring using voice features

The paper describes the steps involved in designing and implementing a mobile app for real time monitoring of mental stress using voice features and machine learning techniques. The app is easy to use and completely non-invasive. It is called StressID and it is available in the Google Play store. With the use of a server application presenting a web interface, interested parties may remotely monitor the stress states detected by the mobile app, enlarging the number of use case scenarios

Not Only Economics: The Political Economy of Euro Adoption in Romania

The multifaceted interplay of economic and political factors in the process of euro adoption suggests the opportunity to take a political economy perspective on this complex issue. In this sense, a number of key political-economy related issues can be distilled in relation to the process of euro adoption, which will structure the following analysis. What are the key national winners and losers of this possible event? What role has interest groups pressure played in this process? Under what circumstances may bureaucracies such as the central bank body of experts act as a deterrent for the political end that is the single currency adoption? How are internationally exposed companies expected to behave and to promote their interests in relation to this event? What is the relative importance of the internal politics dynamic for euro adoption? We rely on process tracing to approach these questions for the Romanian case. Policy documents, newspaper articles, academic articles, economic indicators, and elite interviews are used to create an analytical narrative based both on a one-point-in-time description of the situation and on a timeline that lists the sequence of some relevant events. We argue that a specific combination of economic and political factors led to the failed euro adoption in Romania

Adaptive neural network fuzzy inference system for HFC processes

The paper presents the design and implementation of a fuzzy inference system (FIS) trained with adaptive neural networks for the generation of specification references in high frequency current (HFC) hardening processes. The specification references are then further used for the control of the process in obtaining the desired outcomes in terms of material hardening and resistance. The FIS is trained using data obtained from experimentation on an industrial HFC device. The trained FIS is then compared to a manually tuned FIS, resulting from expert and operator designs. The results led to the development of intelligent control interfaces in real time through the ANFIS method