Vladimir Despotovic

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Microprocessor Measuring Station (MMS) is a type of programmable logic controller fully developed and designed in Mining and metallurgy institute Bor, Serbia, for monitoring and process control, mainly in copper production plants. It is based on MC68HC11 microcontroller. The paper presents a structure of executive and control program with respect to(More)
Previous studies of nonlinear prediction of speech have been mostly focused on short-term prediction. This paper presents long-term nonlinear prediction based on second-order Volterra filters. It will be shown that the presented predictor can outperform conventional linear prediction techniques in terms of prediction gain and “whiter”(More)
In this paper switched piecewise uniform vector quantization of two-dimensional memoryless Laplacian source is asymptotically analyzed for the case where the power of input signal varies in a wide range. One possible solution for encoder design is given for the same quantizer. The presented encoder is a compromise between memory space and number of logical(More)
The Copper Mining and Smelting Complex Bor (RTB Bor) in the Republic of Serbia has a long history of computer control and computer-aided data processing. Working within the confines of the Cold War era, RTB implemented and developed four generations of computers, becoming a major influence in the IT sector and the primary computer training resource in the(More)
– The peaks in energy consumption arise when a number of consumers start to run within a relatively short period of time. In the case of large consumers, this can lead to an overload of the electro-energetic system. In order to avoid such scenarios, the consumers have to pay peak load additionally. The share of this cost in overall costs for electricity can(More)
This paper presents a historical overview of development and application of a distributed system for monitoring and control of electrical energy consumption in the Copper Mining and Smelting Complex Bor (RTB), which is one of the greatest consumers of electrical energy in the Republic of Serbia. Realization of the real time monitoring and control system(More)
We present a semantic analysis technique for spoken input using Markov Logic Networks (MLNs). MLNs combine graphi-cal models with first-order logic. They are particularly suitable for providing inference in the presence of inconsistent and incomplete data, which are typical of an automatic speech rec-ognizer's (ASR) output in the presence of degraded(More)
Development of the new technologies in telecommunications, electronics and electrical engineering is a very dynamic process. It creates the need of constantly improving teaching programs in the field of electrical engineering. That includes exercise-related items like the use of computers and microcontrollers in automatic control systems. Accordingly, the(More)
In this paper, we investigate unsupervised acoustic model training approaches for dysarthric-speech recognition. These models are first, frame-based Gaussian posteriorgrams, obtained from Vector Quantization (VQ), second, so-called Acoustic Unit Descriptors (AUDs), which are hidden Markov models of phone-like units, that are trained in an unsupervised(More)