Adina Astilean

Universitatea Tehnica Cluj-Napoca, Klausenburg, Cluj, Romania

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Publications (28)3.21 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: A new experimental system, capable to use the combined facilities offered by mobile communications, cloud computing and artificial intelligence, to assist the professional formation and specialization of medical staff and to offer up to date information for differential diagnosis, is proposed. To demonstrate the feasibility of the proposed approach, a proof-of-concept system was developed. An application in which two expert systems are used for the differential diagnosis of hypertension is presented. These systems aim to facilitate the diagnosis process of primary, endocrine and renal hypertension. A Naive Bayes Classifier and a Fuzzy Inference System were designed and implemented in order to differentiate the presented types of hypertension. The application was designed based on the client-server architecture, using Cloud Computing techniques and Android programming. The system take as inputs the preliminary medical information and investigation results that are sent from the Android client and outputs the precise risk of having a certain type of hypertension.
    2014 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR); 05/2014
  • Camelia Avram · Dan Mircescu · Adina Astilean · Ovidiu Ghiran
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    ABSTRACT: The present paper proposes a Fluid Stochastic Petri Nets based model, with a flexible and modular structure, to represent the behavioural characteristics and possible interactions among the controlled Micro Hydro Power units in a run of the river chain. Environmental influences were embedded, the final goal of the proposed modelling method being to simulate the dynamicity of the hydrographic assembly in order to optimize the management of water resources. The proposed approach was developed, the case study of a micro hydropower stations chain situated in the hydrographic basin of Someş river being considered. An UPPAAL based simulation was realized in various conditions corresponding to environmental changes and taking into account the main functioning characteristics of the components. Verified by simulation, control modules were implemented as a part of a SCADA system designed for complex automation of a micro hydropower plant.
    2014 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR); 05/2014
  • Camelia Avram · Adina Astilean · Radu Miron
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    ABSTRACT: The Road Traffic Monitoring and Control System (RTMCS) presented in this paper is intended to offer support for the surveillance, control and monitoring of road networks. It integrates complex components in a modular, flexible and open structure in order to validate models that take into account real time constraints and include tools to simulate various traffic scenarios and communication technologies, WEB based virtual instrumentation, personalized user interfaces and relational data. The system can be used to change the configuration of the road map (to design new streets segments) or to visualize the results of the different traffic scenarios implying the tuning of various parameters. RTMCS also offers several advantages, one of the most important consisting of the possibility to choose different configuration and components using a web browser. An implementation variant, including suitable, promising new technologies, different maps configurations, communication devices and protocols and routing systems is presented and analyzed. A large set of experiments and the corresponding results highlight the functionality of the configurable virtual web instrument concept illustrated by the proposed system. Aspects regarding the possibility of a subsequent integration of new tools are also presented.
    06/2013; 8-9:3-12. DOI:10.4028/www.scientific.net/AEF.8-9.3
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    Camelia Avram · Jose Machado · Adina Astilean
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    ABSTRACT: Modern life in cities leads to complex urban traffic road and, sometimes, to go from one point to another, in a city, is a hard and very complex task. The use of assisted systems for helping drivers on their task of reaching the desired destination is being common, mainly systems like GPS location systems or other similar systems. The main gap of those systems is that they are not able to assist drivers when some unexpected changes occur, like accidents, or another unexpected situations. In this context, it would be desirable to have a dynamic system to inform the drivers, about everything that is happening “online”. This work is inserted in this context and the work presented here is one part of a bigger project that has, as main goal, to be a dynamic system for assisting drivers under hard conditions of urban road traffic. In this paper is modeled, and formally analyzed, the intersection of four street segments, in order to take some considerations about this subject. This paper presents the model of the considered system, using timed automata formalism. The validation and verification of the road traffic model it is realized using UPPAAL model-checker.
    11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013: ICNAAM 2013, Greece; 01/2013
  • Conference Paper: Vehicle Navigation System
    Camelia Avram · Adina Astilean · Dan Radu
    26th Conference on Modelling and Simulation; 05/2012
  • Dan Radu · Camelia Avram · Adina Astilean · Benoit Parrein · Jiazi Yi
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    ABSTRACT: The main objective of this work is the development of a Vehicle Ad Hoc NETwork (VANET) to collect data from GPS equipped mobile phones used as noise detectors. In this system, sensor nodes perioadically transmit acoustic noise levels to neighboring cars, data packets being shared and temporary stored by participating VANET nodes and ultimately forwarded to a collector node connected to the Internet, providing public real-time data. A routing technique called MP-OLSR that takes into account the spatially separation between the multiple paths is used, for better transmission reliability and congestion avoidance as well as for control message overhead minimization.
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    ABSTRACT: Using formvar films produced in our laboratory the influence on alpha PIPS spectrometry parameters, as energy shift, efficiency and resolution was investigated. The thickness of formvar films was estimated with the ASTAR web databases. No significant deterioration of the alpha spectrometry parameters was observed when using thin formvar films. Efficiency of the detection remains unchangeable and resolution decrease with 7% for a thickness of 50 $mu$g/cm$^{2}$. Alpha shift from spectrum can be used for measuring the thin foils.
    IEEE Transactions on Nuclear Science 02/2012; 59:1175-1179. DOI:10.1109/TNS.2012.2184802 · 1.46 Impact Factor
  • D. Mircescu · A. Astilean · O. Ghiran
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    ABSTRACT: Based on the new latest generation programmable automata possibilities, this work presents the main aspects of implementing them, to achieve a complex automation system of a small power hydro plant (SAC-HmP). This work presents the SAC-HmP model and the results of the system implemented at C.H.E.M.P. Budac 1 and C.H.E.M.P. Bolovanu (Bistrita hydrographic basin).
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    ABSTRACT: The paper presents a solution of finding the Pareto front for the intermodal and multi-objective time-dependent shortest path problem from a source to a destination. In the considered case, the travel time and route cost must be minimized. A mathematical model of the multimodal time-dependent freight transport network is constructed and then an exact multi-objective algorithm is proposed and implemented. Finally, the performance and effectiveness of the method are assessed by analyzing the algorithm's behavior when different network's parameters change.
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    ABSTRACT: The paper proposes and develops a new model based on probabilistic Petri Nets suited to reflect the progress of the athletic performance of one individual and of a group of individuals. The training techniques, their appropriate succession and grouping, the immediate results obtained after applying specific training methods are integrated and reflected by the developed model. The model was elaborated based on the training activities and on the athletic performance evaluation of five national level track and field athletes for a complete training cycle. The maximum isometric force value obtained for 5 seconds long voluntary contractions of the leg extensor muscles of each subject was the main parameter used to evaluate the individual progress after a training sub-cycle. The data resulted after the evaluation sessions were used to estimate the training path followed by each athlete. The training path planning was exemplified in the case of one athlete for a complete training cycle. The model was validated using measured data obtained during evaluation sessions carried on in similar conditions in the case of the same group.
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    C. Cosma · O. A. Rusu · V. Cosma · D. Nita · R. Cs. Begy · A. Astilean
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    ABSTRACT: Using formvar films produced in our laboratory the influence on alpha PIPS spectrometry parameters, as energy shift, efficiency and resolution was investigated. The thickness of formvar films was estimated with the ASTAR web databases.
    01/2011; DOI:10.1109/RADECS.2011.6131456
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    ABSTRACT: The purpose of this research is to investigate the use of an intelligent neural-fuzzy modeling strategy based on Unified Modeling Language (UML) diagrams and Petri nets models of the pollution sources impact on the air quality along the Romanian coast of Black Sea, especially in Constanta vicinity. This is possible by monitoring the physical and chemical parameters of the air quality, such as temperature, wind speed, Carbon Dioxide (CO2), methane (CH4), Nitrogen Oxide, ozone, water vapours concentrations provided by several “in-situ” measurements stations spread in the critical points from Constanta area. Moreover, we will try to disseminate the information collected and to investigate adequate actions to prevent the continuous degradation of the environment. The values of air quality-monitored parameters vary with the position of the sampling sites in quasi-large range; consequently a direct correlation between these indicators will be useful. Air pollution sources cause the “greenhouse effect“with a high impact on the live and fauna, degrading progressively the Black Sea ecosystems. Closing, in our research we try to present the benefit of the UML diagrams in combination with Petri nets models developed on a wide database concerning the air pollution degree inside Constanta Romanian Black sea resort to predict the future results.
    Federated Conference on Computer Science and Information Systems - FedCSIS 2011, Szczecin, Poland, 18-21 September 2011, Proceedings; 01/2011
  • Tiberiu Letia · Adina Astilean · Radu Miron · Magdalena Santa
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    ABSTRACT: The railway traffic is characterized as a large and dynamic system with uncertain properties related to resource loading, train arrivals and failures. Despite these uncertainties, the control system is expected to guarantee that all the trains behave according to their timelines. The current approach solves the railway traffic control problem using the resource allocation. The trains are considered tasks with specified temporal behaviors that have to fulfill their deadlines. The solutions based on open loop, closed loop with independent, coordinated and heterarchical controllers are defined and compared. The control signals are implemented and verified using time Petri nets. Some algorithms for control system implementation are given. The method evaluations are performed using the meter functions: utility, utilization, reservation and efficiency. The results obtained through simulations show that the proposed distributed controllers solve adequately the control problems and can be used for large scale implementation.
    2nd IFAC Symposium on Telematics Applications (2010), Politehnica University, Romania; 10/2010
  • Gratiela Deak · Radu Miron · Adina Astilean · Claudiu Domuta
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    ABSTRACT: The paper proposes a fuzzy based method to evaluate the level of physical preparedness of both nonathletes and athletes based on a number of physiological parameters. Having an objective tool to assess whether their athletes are responding correctly to the training, coaches could prevent undesirable events such as under-training or overtraining. In the case of nonathletes, monitoring the physiological parameters and determining the cardiorespiratory fitness level could prevent the modern chronic diseases. The proposed assessment fuzzy method was implemented in Java 2 Standard Edition. Data were collected from three subjects during a six months training program. The obtained results are in accordance with the values given by the scientific literature.
    Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on; 06/2010
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    ABSTRACT: A flexible support system to offer warnings, therapies and recommendations for remote patient surveillance is presented. This system aims to improve the home healthcare assistance of patients with acute, light and medium-severe forms of diseases, which were previously diagnosed by family doctors (general practitioners) and specialists. It is used to early detect possible symptoms and signs of complications and also to adapt the treatment and to increase its efficiency. Symptoms and personal reactivity to prescribed medications (specific response to treatments) can be better monitored and interpreted. An inference mechanism based on Petri nets and Fuzzy theory was designed and experimentally implemented for diseases evolution supervising purposes. The doctor — patients scheduled or emergence communication sessions are based on Internet and mobile telephony technologies.
  • C. Avram · D. Radu · A. Astilean · V. Cosma
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    ABSTRACT: A low cost ad-hoc sensors network for the monitoring of the radiation level of contaminated and risk areas is proposed in the presented paper. An experimental system which collects and sends radiation level data from a mining area to a server was implemented. The presented approach is based on the detecting of the gamma radiation levels using ZigBee sensors which become active only when a level of radiation is exceeded and are suitable to detect and transmit data to the nearby network nodes only on demand, reducing the power consumption. To solve the routing problem in the ad-hoc network, a solution based on Ant algorithm was chosen.
  • Silviu Folea · Camelia Avram · Sorin Vidican · Adina Astilean
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    ABSTRACT: The paper presents a new, experimental, wireless tremor telemonitoring system composed of an optional variable number of portable devices integrating three-axis acceleration mini-sensors which are connected to very small dimensions acquisition systems with Wi-Fi transmission capabilities. The main advantages of the design system consist of the possibilities to monitor simultaneously many body parts of one or multiple subjects on local or more extended areas both for scheduled assessments and in an everyday life environment. Possible applications of the presented experimental system, considered as a part of a health telematic network, consist of delivering supplementary, consistent sets of data to clinicians in order to reliably assess patients' state in home and community settings, over longer periods of time. This system consists of delivering new data necessary for differential diagnosis of different types of tremors, or to precise different stages of illness in a health telematic network. The multiple simultaneous measuring capabilities and the extended observation time period could cover eventually neglected aspects related to occasional, temporary, or an intermittent tremor. The Wi-Fi DAQ proposed system's novelty, in contrast with existing Wi-Fi solutions, is its ultra low power Wi-Fi capability, which makes it suitable for sensing applications where battery power management is critical.
    International Journal of E-Health and Medical Communications 01/2010; 1:14-34. DOI:10.4018/IJEHMC.2010100102
  • Adina Astilean · Camelia Avram · Tiberiu Letia · Florian Mihele
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    ABSTRACT: The paper presents a fingerprint based identification solution, integrated with a communication system in order to support and improve the activity of emergency services on large areas, in accidents implying multiple victims. In such situations, due to possible post-accident effects, it is difficult to obtain the victims' identity data. Consequently, the occasional patients must be local-identified before to be diagnosed and sent to the appropriate hospital unit. The implemented system allows the obtaining of a provisional identity of the persons, which replaces identity cards along the whole investigation and treatment period even in the absence of any identity act. This identity may be maintained during the whole post accident evolution of a patient, in all the hospitals where a specified person was sent. The victims are registered, their data and evolution being stored and finally, directed from the temporary identity to the true identity, if the conditions allow this. The fingerprint becomes, during a shorter or a longer time interval, the equivalent of an identity card. The proposed system allows local and remote data transmission, voice communication and distributed file sharing.
    International Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009, February 1-7, 2009, Cancun, Mexico; 01/2009
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    ABSTRACT: Data collected from a GPS receiver located at low latitudes in the American sector are used to investigate the performance of the WinTEC algorithm [Anghel et al., 2008a, Kalman filter-based algorithm for near realtime monitoring of the ionosphere using dual frequency GPS data. GPS Solutions, accepted for publication; for different ionospheric modeling techniques: the single-shell linear, quadratic, and cubic approaches, and the multi-shell linear approach. Our results indicate that the quadratic and cubic approaches perform much better than the single-shell and multi-shell linear approaches in terms of post-fit residuals. The performance of the algorithm for the cubic approach is then further tested by comparing the vertical TEC predicted by WinTEC and USTEC [Spencer et al., 2004. Ionospheric data assimilation methods for geodetic applications. In: Proceedings of IEEE PLANS, Monterey, CA, 26–29 April, pp. 510–517] at five North American stations. In addition, since the GPS-derived total electron content (TEC) contains contributions from both ionospheric and plasmaspheric sections of the GPS ray paths, in an effort to improve the accuracy of the TEC retrievals, a new data assimilation module that uses background information from an empirical plasmaspheric model [Gallagher et al., 1988. An empirical model of the Earth's plasmasphere. Advances in Space Research 8, (8)15–(8)24] has been incorporated into the WinTEC algorithm. The new Kalman filter-based algorithm estimates both the ionospheric and plasmaspheric electron contents, the combined satellite and receiver biases, and the estimation error covariance matrix, in a single-site or network solution. To evaluate the effect of the plasmaspheric component on the estimated biases and total TEC and to assess the performance of the newly developed algorithm, we compare the WinTEC results, with and without the plasmaspheric term included, at three GPS receivers located at different latitudes in the American sector, during a solar minimum period characterized by quiet and moderate geomagnetic conditions. We also investigate the consistency of our plasmaspheric results by taking advantage of the specific donut-shaped geometry of the plasmasphere and applying the technique at 12 stations distributed roughly over four geomagnetic latitudes and three longitude sectors.
    Journal of Atmospheric and Solar-Terrestrial Physics 01/2009; 71(1):158-174. DOI:10.1016/j.jastp.2008.10.006 · 1.75 Impact Factor
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    Adela Anghel · Adina Astilean · Tiberiu Letia · Attila Komjathy
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    ABSTRACT: The ionosphere is an important source of errors for the GPS signals that travel through the ionosphere on their way to the ground-based receivers by introducing a frequency dependent path delay proportional to the total electron content (TEC) along the signal path. For dual-frequency GPS receivers, the ionospheric effects can be accounted for by taking advantage of the dispersive nature of the ionosphere in the microwave region of the electromagnetic spectrum, while for the single frequency GPS receivers the ionospheric effects can be minimized by modeling them using, for example, empirical or physics-based ionospheric models. On the other hand, the errors imposed by the ionosphere on the GPS signals can provide important temporal and spatial information about the electron density distribution in the ionosphere. Besides the ionospheric errors, there are some other sources of errors that can affect the GPS signals, such as the satellite and receiver instrumental biases, carrier phase ambiguities, multipath effects, clock errors, orbital errors, tropospheric errors, but which can be compensated for, estimated, or neglected depending on the particular application. In this paper, we are only concerned with the ionospheric effects on the GPS signals, and describe a Kalman filter-based algorithm for near real-time estimation of the line-of-sight and vertical ionospheric TEC and of the combined satellite and receiver instrumental biases, using data from dual-frequency GPS receivers.
    Automation, Quality and Testing, Robotics, 2008. AQTR 2008. IEEE International Conference on; 06/2008