Modeling, Simulation and Optimization
Ambient Air Quality in the Republic of Macedonia from the Perspective of EU Directive
Radmila Bojkovska, Kosta Mitreski
Abstract
In September 1996 the EU adopted Framework Directive 96/62/EC (FWD)[1] that defines the key principles of and general requirements for air quality assessment and management in subsequent (Daughter) Directives that lay down limit levels and specify in more detail the requirements concerning each of the pollutants declared in the FWD. The requirements of Directive 96/69/EC do not specify any detailed rules for zone delineation. In this paper we analysis the ambient air quality on the Republic of Macedonia. We have made analysis of the Directives’ requirements in respect of air quality management area delineation - zones and agglomerations. The evaluation is made on the basis of the regular measurements obtained from the three existing measuring networks as well as via measurements of the emissions from stationary and mobile sources in several years period. Results from the analysis of SO2, NO2, NOx, PM10 and ozone concentrations are presented both for specific regions and on the entire state territory. Delineation on zones and agglomerations according to statistical regions is also performed, in line with the preliminary assessment of the air quality according to the measured parameters. We end with several recommendations for improvement of air quality in the given region and for future research work based on these results.
Keywords
Ambient air quality, preliminary assessment, SO2, NO2, PM10, zones, agglomerations, models
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GAAP. Genetic Algorithm with Auxiliary Populations Applied to Continuous Optimization Problems
Leonardo Corbalán, Waldo Hasperue, Laura Lanzarini
Abstract
Genetic algorithms have been used successfully to solve continuous optimization problems. However, an early convergence to low-quality solutions is one of the most common difficulties encountered when using these strategies.
In this paper, a method that combines multiple auxiliary populations with the main population of the algorithm is proposed. The role of the auxiliary populations is dual: to prevent or hinder the early convergence to local suboptimal solutions, and to provide a local search mechanism for a greater exploitation of the most promising regions within the search space.
Keywords
Real coded genetic algorithms, continuous optimization, early convergence, exploration, exploitation, local search, auxiliary populations
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Analysis of EAP-FAST Protocol
Bakytbek Eshmurzaev, Gokhan Dalkilic
Abstract
One of the core security concepts of Wireless LAN is the authentication. An 802.1X/EAP framework allows a variety of specific methods to be used for the authentication. Certificate-based authentication methods provide strong security as well as allow shared key-based methods to be used. This paper analyzes wide deployed TLS-based EAP protocols defined in RFCs, used in WLAN. We mainly focus on the EAP-FAST protocol because it differs from other TLS-based EAP types on using shared secret keys instead of certificates, thus significantly increasing performance. We validated different authentication scenarios of EAP-FAST protocol using AVISPA model checker.
Keywords
802.11 Authentication, Extensible Authentication Protocol (EAP), 802.1X, Tunnel-based EAP methods, AVISPA
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Results on ECG Compressed Sensing using Specific Dictionaries and its Validation
Monica Fira, Liviu Goras, Nicolae Cleju, Constantin Barabasa
Abstract
The paper presents a new method and results regarding the compressed sensing (CS) and classification of ECG waveforms using a general dictionary as well as specific dictionaries built using normal and pathological cardiac patterns. The proposed method has been validated by computation of the distortion errors between the original and the reconstructed signals and by the classification ratio of the reconstructed signals obtained with the k-nearest neighbors (KNN) algorithm.
Keywords
compressed sensing, Electrocardiography, dictionaries
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The Method of Aircraft Control System Evaluation
Jan Gruszecki, Tomasz Rogalski
Abstract
The dynamical development of general aviation brings necessity of creation an aircraft control system enabling safely fly the plane to people having no extraordinary qualifications. Main goals of such control system are to reduce pilot’s load, to improve the control precision, to prevent an aircraft against dangerous situations. There are lots of criterions applied to grade and to describe both aircraft’s flying characteristics and handling qualities of general aviation airplanes equipped with a classical mechanical control systems. But modern small transportation aircraft are going to be equipped with fly-by-wire control systems and there are no clear, straight, rules defining the process of rating and describe handling qualities of small airplanes with fly-by-wire control system.
The paper presents the methodology created by authors allowing classifying and comparing handling qualities of general aviation aircraft equipped with fly-by-wire control systems. It takes into consideration two parameters: pilot’s effort during realization of ordered tasks and precision of his control. The presented methodology was tested during real operational conditions on a small four-sited airplane PZL-110. Sample results reached during flight tests are included.
Keywords
aircraft control system, handling qualities, flight tests
Full text is available at IEEE Xplore digital library.
Face Recognition Implementation for Client Server Mobile Application using PCA
Emir Kremic, Abdulhamit Subasi, Kemal Hajdarevic
Abstract
For the past few years in the face recognition research area are made very progressive improvements. This is because of the high level and versatile technologies in use nowadays, and high level of processors running on our machines and mobile phones. Available technologies provide mechanisms which use face recognition for security identification (user face) and authentication purposes. The aim of this paper is to present and propose client – server model and to compare it with the most recent client – server models for face recognition with a GPG infrastructure which uses security private key (symmetric encryption) with main purpose to securely transmit image (user face) over the network. Moreover in the face recognition algorithm is implemented Principle Component Analysis (PCA) algorithm for face recognition. Proposed system has been tested on the mobile phone with Android OS platform, using previous research experiences where system was initially developed for DROID emulator. The implementation of the PCA is done on the MATLAB side.
Keywords
PCA, Network Security, Android, face recognition
Full text is available at IEEE Xplore digital library.
Evaluation of Emission Factors for New Technology S.I. Euro 4 Cars
G. Meccariello, L. Della Ragione, M. A. Costagliola, M. V. Prati
Abstract
This research attempted to analyze the environmental impact of two available nonconventional vehicle technologies, highlighting the benefits in terms of emissions and fuel consumption reduction with respect to conventional vehicles. Moreover, tests were compared with predicted emissions of the conventional gasoline technology provided by the kinematic model developed. Results show that cold start strongly affects the emissions of CO, THC and NOX, which become very low during hot driving cycle. The existing emission model cannot be used to obtain a satisfactory prediction for hybrid car. But it could be proved that KEM emission model allows us to predict emission factor for conventional car and compressed natural gas. However, it is concluded that new experimental campaign with new technological cars might be interesting for future model developments.
Keywords
Hybrid car, CNG car, Exhaust Emission Factors, Emission Model
Full text is available at IEEE Xplore digital library.
Modeling and Simulation of Handover Priority Schemes for Broadband Wireless Networks
Ekaterina Otsetova-Dudin, Svetla Radeva, Dimitar Radev
Abstract
Modeling and simulation of handover priority scheme for broadband wireless network are under investigation. The aim of simulation is estimation of the probabilities of handover Quality of Service (QoS) parameters as blocking probabilities of handover channels and overflow probabilities of queues. A handover traffic scheme for broadband wireless network handover for heterogeneous traffic is suggested. This scheme is modeled with Markov chain. For suggested queuing model is worked out an algorithm for Markov chain solving. For considered model is suggested algorithms for traffic simulation with imolementation of rare event simulation. As a result is received an estimation of blocking probabilities of handover channels.
Keywords
Traffic Simulation, Queuing Models, Markov Chains, Rare Event Simulation
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Reference Model Design: An Approach and its Application
Dejan Pajk, Mojca Indihar-Štemberger, Andrej Kovačič
Abstract
The main idea of reference modelling is to reuse business knowledge to create efficient business processes to be deployed inside an organisation. Reference models provide a set of generally accepted recommended practices. One of the management challenges facing today's organisations involves the development and reuse of business process reference models. We present a reference model design approach with a focus on a business process merging phase. Process merging is an approach that brings together several business process models with the objective to create a new model. We base our findings on a case study of three big Slovenian companies from the metal industry sector.
Keywords
Reference models, Reference model design, Process merging, BPMN
Full text is available at IEEE Xplore digital library.
Modeling Allee Effect from Beta(p, 2) Densities
J. Leonel Rocha, Sandra M. Aleixo
Abstract
In this work we develop and investigate generalized populational growth models, adjusted from Beta(p, 2) densities, with Allee effect. The use of a positive parameter C leads the presented generalization, which yields some more flexible models with variable extinction rates. An Allee limit is incorporated so that the models under study have strong Allee effect.
Keywords
Beta(p, 2) densities, growth models, Allee effect
Full text is available at IEEE Xplore digital library.
Control of Linear Stationary Stochastic Systems with Constraints APM vs. PID vs. Matlab MPC
Enes Saletović, Tadej Mateljan
Abstract
Within the frame of this work, the problem of control of LSS (Linear Stationary Stochastic) SISO (Single Input Single Output) systems with active constraints at input and/or output has been researched. The new predictive control APM method [1] has been compared with concurrent control methods: PID and Matlab MPC, using Matlab software tool. Simulation results confirm APM method concurrency and some practical advantages over concurrent methods.
Keywords
Predictive, control, linear, stochastic, constraints, prediction, disturbance, method
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The Measure of Savings in the Production Process
Ilko Vrankic, Mira Oraic, Zrinka Lukac
Abstract
This paper follows our theoretical research on the elasticity of substitution. We use the results derived to emphasize the new measure of savings in the production process resulting from the substitution of the more expensive production factor with the cheaper one [5]. The results are illustrated numerically due to their importance in empirical studies. Thus we demonstrate the practical application of general and abstract theoretical understanding of the economic savings in the production process and emphasize the didactic value of the paper. Numerical example also serves as the motivation for the new issue of compensating the change in elasticity of substitution with the corresponding change in scale.
Keywords
Elasticity of substitution, economic costs, economic savings
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