The H264/SVC codec allows for generation of hierarchical video streams. In the stream of this type video data belonging to different layers have different priority depending on their importance to the quality of the video and the decoding process. This creates new demands on the mechanisms of packet marking, and thus new challenges for the policy guaranteeing QoS parameters, such as those defined in the DiffServ architecture. Therefore, mechanisms of the traffic engineering used in the DiffServ network should, as far as possible, take into account internal distribution of priorities inside video streams. This may be achieved by implementing an appropriate method for packet pre-marking. The paper describes the Weighted Priority Pre-marking (WPP) algorithm for priority-aware SVC video streaming over a DiffServ network. Our solution takes into account the relative importance of the Network Abstraction Layer Units. It also does not require any changes in the implementation of the DiffServ marker algorithm. The results presented confirm that video transmission in the DiffServ domain, based on the WPP packet pre-marking, can provide better perceived video quality than the standard (best effort) streaming of multilayered SVC video. In addition, a comparison with the transmission of the same video content encoded with the H264/AVC codec also points to the superiority of our proposed method.

Burning pulverized coal in power boilers causes considerable emission of atmospheric pollution. In order to decrease it the combustion process itself has been modified, however at the cost of side effects like: an increased level of unburned coal particles in the ashes. There are tens ofburners in a single power boiler and emission level measurements are made in a flue gas duct, so the control based on such averaged and heavily delayed values often results ineffective. The neural controller of the pulverized coal burner attempts to resolve these problems. The clue is the utilization of the fiber-optic system for monitoring of chosen zone of flame developed in Department of Electronics of Technical University of Lublin in subordinate control loop. The article contains a description of controlled system and optical fiber measurement system as well as the idea ofnew control structure and initial models.

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The share of video streaming services in the global network traffic is increasing every year. For this reason the problem of optimal use of the available bandwidth, while ensuring an acceptable level of quality of the transmitted video is becoming an important issue. A combination of two techniques, DASH streaming and H.264/AVC video coding can be an important step towards solving this problem. The article presents the discussion the choice of the proper gradation of SVC encoding parameters inside representation of video content in DASH systems. We propose the Temporal Preservation (T-P) method of selection of the SVC stream structure to optimize the grading changes of video quality. This method allows for the implementation of DASH adaptation to changes in available bandwidth on the transmission link, which minimizes the impact of this process on the quality of the received video. According to results of conducted tests, the T-P method offers a better final video quality in DASH systems than similar solutions based on a standard adaptation method. The comparison with the DASH system that uses H.264/AVC encoding also showed superiority of the T-P method, especially in situations of high network congestion S. Przyłucki, A. Sierszeń come the standard DASH (Dynamic Adaptive Streaming over HTTP) published by the IETF in 2012 [8]. DASH uses the concept of a combination of two solutions: the adaptation of the bit rate of the video stream in order to minimize packet buffering problems and encode video data in several predefined resolutions and bit rates. The adaptation mechanism at client side allows for choosing a particular representation which complies with the technical parameters of used receiver. Also it offers the ability

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