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Abstract--The JPEG standard (IS O/ IEC 10918-1 ITU-T Recommendation T.81) defines compression techniques for image data. As a consequence, it allows to store and transfer image data with considerably reduced demand for storage space and bandwidth. From the four processes provided in the JPEG standard, only one, the baseline process is widely used. In this paper FPGA based High speed, low complexity and low memory implementation of JPEG decoder is presented. The pipeline implementation of the system, allow decompressing multiple image blocks simultaneously.The hardware decoder is designed to operate at 100MHz on Altera Cyclon II or Xilinx S partan 3E FPGA or equivalent. The decoder is capable of decoding Baseline JPEG color and gray images. Decoder is also capable of downscaling the image by 8. The decoder is designed to meet industrial needs. JFIF, DCF and EXIF standers are implemented in the design.

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In this article, a multiview image compression framework, which involves the use of Block-based Compressive Sensing (BCS) and Joint Multiphase Decoding (JMD), is proposed for a Visual Sensor Network (VSN). In the proposed framework, one of the sensor nodes is configured to serve as the reference node, the others as nonreference nodes. The images are encoded independently using the BCS to produce two observed measurements that are transmitted to the host workstation. In this case, the nonreference nodes always encoded the images (I NR ) at a lower subrate when compared with the images from the reference nodes (I R ). The idea is to improve the reconstruction of I NR using I R . After the two observed measurements are received by the host workstation, they are first decoded independently, then image registration is applied to align I R onto the same plane of I NR . The aligned I R is then fused with I NR , using wavelets to produce the projected image I P . Subsequently, the difference between the measurements of the I P and I NR is calculated. The difference is then decoded and added to I P to produce the final reconstructed I NR . The simulation results show that the proposed framework is able to improve the quality of I NR on average by 2dB to 3dB at lower subrates when compared with other Compressive Sensing (CS)--based multiview image compression frameworks.

Abstract-Field-Programmable Gate Arrays (FPGAs) have turned out to be a well-liked target for implementing cryptographic block ciphers, a well-designed FPGA solution can combine some of the algorithmic flexibility and cost efficiency of an equivalent software implementation with throughputs that are comparable to custom ASIC designs. The recently proposed Secure Force (SF) shows good results in terms of resource utilization compared to older ciphers. SF appears as a promising choice for power and resource constrained secure systems and is well suited to an FPGA implementation. In this paper we explore the design decisions that lead to area/delay tradeoffs in a full loopunroll implementation of SF-64 on FPGA. This work provides hardware characteristics of SF along with implementation results that are optimal in terms of throughput, latency, power utilization and area efficiency.

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<p>The Energy Service Industry is now declared as a new source of growth for Malaysian Economy, many key players like MAESCO, Suruhanjaya Tenaga Energy Commission, KeTTHA and relevant ministries are working very hard on energy saving respective researches. There is a room for much more improvement in order to apply energy saving projects according to Malaysian environment .So far the application of project management principles are very rare in energy saving projects or in Malaysia termed as ESCO (Energy Service Company). This gives a way to synchronise project management techniques with respective implementations of energy saving projects focusing Malaysian infrastructure. In this article a review is conducted on new ways, techniques and procedures of project management and its synchronization with engineering needs especially electrical power conservation and saving projects. Moreover, the proposed research will also indicate the advancement or replacement of present system along with some advantages over our old system. A complete review is done on the background of ESCO its importance in energy saving also the relevancy of project manajement along with its basic princlples is discussed as to provide a solution for ESCO to comeover the chellenges in South East Asia generaly and in Malaysia specifically</p>

An explicit content detection (ECD) system to detect Not Suitable For Work (NSFW) media (i.e., image/ video) content is proposed. The proposed ECD system is based on residual network (i.e., deep learning model) which returns a probability to indicate the explicitness in media content. The value is further compared with a defined threshold to decide whether the content is explicit or nonexplicit. The proposed system not only differentiates between explicit/nonexplicit contents but also indicates the degree of explicitness in any media content, i.e., high, medium, or low. In addition, the system also identifies the media files with tampered extension and label them as suspicious. The experimental result shows that the proposed model provides an accuracy of ∼ 95% when tested on our image and video datasets.