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The growth in the use of multimedia in the educational sector is accelerating rapidly. Multimedia contents are very sensitive in terms of link capacity and other parameters affecting its quality. Due to the lack of existing of a network dedicated for testing and evaluating the e-learning network, there is a need to propose and build a testing environment. In this paper, we present a practical implementation of a testing environment that provide multimedia transmission to aid e-learning over a virtualized Multi-Protocol Label Switching (MPLS) network. The designed network combines hardware and software resources where the source is a real-time video streaming using a professional video camera connected to a virtual network of routers to deliver the multimedia content wirelessly to the intended classroom. The network is successfully implemented and evaluated with acceptable quality according to cisco reference for Quality of Service (QoS) Network Design Guide.

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This paper is dealing with the implementation and design of an integrated anti-theft control system for an automobile, also to prevent vehicles from stealing. This embedded system mainly based on an advanced communication technology identified as LTE Release 8 or 3.9 G. The factors that associated with system structured are putting together inside the vehicle in a hidden way. A GSM module has a SIM-Card interface that responsible for exchanging messages with end-user to track and control the status of the vehicle. Once the vehicle is stolen, firstly, a phone calling from the owner is initiated to the GSM. Immediately the RPi cut-off this call and activate GPS respectively with Pi Camera activation, the location coordinates of a vehicle are sent as SMS via GSM module to the owner, as soon as a Pi Camera capture a photo for the thief that will be sent later on to owner via advance internet services. A Google map applied the received coordinate to determine the vehicle movement. According to these instructions, the owner sends SMS that has a detailed instruction to order RPi to control the engine ignition system by turning it off at a required location. The principal approach of this embedded system has been designed and executed to be effectively at low price. Furthermore; administering subsequent various on-road tests demonstrated to be very powerful in controlling stolen vehicles.

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Iris recognition system has been recently widely used as it is in the forefront of other biometric systems since it contains distinctive patterns that give it a powerful strategy to distinguish between persons for identification purposes. However, implementation of this system requires large memory capacity and high computational power due to the size of the data and the processes on which it is implemented. These factors make the challenge to find a way for running this algorithm in a hardware platform. Efficient design in hardware reduces the execution time by exploiting the parallelism and pipeline architecture. The present work addressed this issue and the execution time was actually reduced when implementing iris matching step using hamming distance algorithm on the target device FPGA KINTEX 7 utilizing Xilinx system generator. The obtained result demonstrates that the execution time has been accelerated to 1.32 ns, which is almost at least four times faster than the existing works.

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