CAMEL Service Interaction Detection
I. Atanasov, E. Pencheva
Key Words:
CAMEL; call control; mobility management control; satisfiability; inference algorithm.
Abstract:
Service interaction manifests itself as a function of services which neither acts exactly as a sum all services nor behaves as expected. In Customized Application for Mobile network Enhanced Logic (CAMEL), services may inteact both in call-related and call-unrelated context. A formal approach to detection of CAMEL service interaction in mobile communication system is suggested. The approach is based on CAMEL basic call state models and mobility management model. It takes into account the distributed nature of call control and also allows ezpression of behavior related to mobility management and to out-band signaling procedures. Description logic is used to formalize the behavior of the system and services. A standard inference algorithm is used to detect feature interaction.

Hybrid Frequency Estimation Method
Y. Vidolov
Key Words:
FFT; frequency estimator; fundamental frequencies.
Abstract:
The proposed frequency analysis method comprised Fast Fourier Transform and two consecutive frequency rectifications. Its application leads to a substantial error reduction when estimating the fundamental frequencies and amplitudes of harmonic components in the studied signal in comparison with the widespread analysis methods.

Modeling and Analysis of Distributed Parameter System
E. Nikolov, N. Nikolova, P. Stamenova, V. Dryankova
Key Words:
Partial differential equations; method of Green's functions; analytical models of distributed parameters systems; distributed characteristics in stationary and non-stationary regime.
Abstract:
In this paper an analytical model of the temperature in HVAC-system for buildings conditioning based on partial differential equation of Newton-Richman is presented. A solution of the equation by using the Green's functions method is submitted. On the basis of the solution analytically the stationary and non-stationary working states of modeled plant with distributed parameters - the temperature in NVAC-system are described. The dynamic system model is simulated in a change range of the basic parameters according to the accepted standards of comfort. Visualized and analyzed are the characteristics specificities, from which is derived the temperature in the building conditioning system as a typical control plant with distributed parameters.

A Self-Learning Bayesian Classifier for Quality Evaluation in Automatic Sorting Systems of Fruit and Vegetables
Ch. Damyanov, V. Nachev, T. Titova, S. Yordanov
Key Words:
Bayesian classifier; self-learning; automatic sorting system; quality evaluation.
Abstract:
The paper presents a self-learning algorithm for a quality-recognition (diagnostics) Bayesian classifier used un the AQS 602 automatic sorting system. The algorithm was created on the basis of a method for extraction of information from data in a regime of on-line classification and sorting of products. The new algorithm produces promising results providing the possibility for inreasing the efficiency of the system which are likely to be of help for work with sorting equipment.

Optimal Feed Rate Strategy of Biotechnological Process in L-lysine Production Using Neuro-Dynamic Control
T. Ilkova, M. Petrov, M. Angelova
Key Words:
Neuro-dynamic programming; neural network; L-lysine fermentation; optimal control.
Abstract:
In this paper Neuro-dynamic programming (NDP) is proposed as an alternative to alleviate the "curse of dimensionality" of the Dynamic programming (DP) for optimal control of a fed-batch fermentation process in the L-lysine production. The traditional approach for solving the Bellman equation involves gridding of the state space, solving the optimization for each grid point, as well as performing the stagewise optimization until convergence is reached. The comprehensive sampling of the state space can be avoided by identifying the relevant regions of the state space through simulation under judiciously chosen suboptimal policies, which is presented using NDP methods. The most effective and cheapest method for the L-lysine biosynthesis (in biological active form) is the microbiological method via direct fermentation. In this paper an optimization method of the L-lysine production from strain Brevibacterium flavum 22LD is used and that is NDP. The results show that the quality of L-lysine enhances at the end of the process. The proposed method is particularly simple to implement and can be applied for on-line optimization.