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In the present research a novel spatiallyweighted Fuzzy C-Means (FCM) clusteringalgorithm for image thresholding is presented.The segmentation technique is for magneticresonance (MR) images of the brain based onfuzzy algorithms for learning vectorquantization (FALVQ) by creating of acombined method in utilizing both LVQ(learning vector quantization) and the fuzzytechnique. Such a technique is obtainingmore efficient method for the process ofdiagnosis of the human brain tumor withoutthe need for sophisticated steps or humanmanner. To speed up the FCM algorithm, theiteration is carried out with the statistical graylevel histogram of image instead of theconventional whole data of image. Somecomparisons with classical thresholdingalgorithm and fuzzy thresholding algorithmare also considered in this research.Experimental results on real images are givento demonstrate the effectiveness of theproposed algorithm. In addition, due to theneighborhood model, the proposed method ismore tolerant to noise.

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This paper proposed a technique of bit-rate control for video streaming over constant bit-rate communication channel, where the MPEG-2, standard variable bit-rate (VBR), is adapted to be used as a constant bit-rate (CBR). The target image quality and output rate of the video encoder is controlled by feedback based on the buffer level. A CBR transport over networks, result is a good performance compared with that of VBR. It introduced simplicity of network monitoring and analysis, where the VBR video streaming over CBR channel can be adapted to avoid the problem of congestion of the network. This paper studies the important issue of adapting VBR-compressed video for transport over a CBR channel. The developed systems are implemented using Matlab (Ver 6.5) under Windows XP operating system.

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:This paper is developed to study the compression performance of video by using searching method of motion estimation OTS and SNR scalable coding to enhance the quality of video sample. The work evaluates set of suitable objectives fidelity measures, such as MSE, PSNR and CR. The model of video coding system is designed to treat the video signal as a CBR and implemented for different video samples rates. The two major components inter and intra frames compression is achieved as an optimal compensation for both quality and CBR. In the same time the basic structure of communication networks which is represented by the Transmission Control Protocol/Internet Protocol (TCP/IP) model is taken into consideration within the system BER control. The developed system is implemented using Visual Basic Language (ver 6.0) under Windows Xp operation systems

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This paper will test the ADSL2+ broadband access network that support Triple Play Services (voice, video and data) on last mile. Initial applications presented are entertainment video (video on demand VoD and multicast video IPTV), voice (VoIP), and best-effort data (e.g. web browsing, File sharing /downloading). The QoS guidelines and the objective performance recommendations are presented in this paper in the context of an end-to-end delay, jitter, and delay variation. The networks were tested for the cases when the network availability is 85.5%-93% (services is full at each homes at a time, 7-14.5% traffic in core links) and 25% (services is not full at each homes at a time, 75% traffic in core links) and are agnostic to access technology based on ADSL2+, services architecture, and implementation. As result, the advantages of the ADSL2+ can facilitate the local content management and reduce the content access cost by minimizing traffic loading of the outgoing link.

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The current environment of video systems is heterogeneous due to the variety of the devices used inthe display such as HD and diversity of data transfer rate from one client to another, which leads to diversityin the resolution of the video for each client. The heterogeneous network systems increase the storage of videofiles, although that the H.265 reduces the rate of data about to half as compared to H.264, but it stores as themultiple video resolutions of one video on the system in the heterogeneous system to satisfy different consumercharacteristics and is delivered exploitation broadcast coding. H.265 is used as a multi-layer encoding to provide adifferent video resolution, which is increased the complexity of encoding system and time. The paper solves suchproblems by proposing a new technology for encoding,which depends on scalable core video technique in order tosave a bit rate and improve the quality. The complexity of the encoding system and time is reduced by predictionthe upper layers of video resolution from the lower layer in new technology. The results present that the proposedtechnique is better than H.265 transcoding, the rate of data transfer which has reduced (about 47%) in HD ascompared to the H.265, while the PSNR has increased (about 3dB) in the same type of resolution. Furthermore, theprocessing time is decreased to 14% as compared to H.265.The complexity is reduced to 25% as compared to H.265.

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This paper deals with the design and implementation of an ECG system. The proposed system gives a new concept of ECG signal manipulation, storing, and editing. It consists mainly of hardware circuits and the related software. The hardware includes the circuits of ECG signals capturing, and system interfaces. The software is written using Visual Basic languages, to perform the task of identification of the ECG signal. The main advantage of the system is to provide a reported ECG recording on a personal computer, so that it can be stored and processed at any time as required. This system was tested for different ECG signals, some of them are abnormal and the other is normal, and the results show that the system has a good quality of diagnosis identification.

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