Security is an important aspect in the practical deployment of biometric authentication systems. Biometric data in its original form is irreplaceable and thus, must be protected. This often comes at the cost of reduced matching accuracy or loss of the true key-less convenience biometric authentication can offer. In this paper, we address the shortcomings of current face template protection schemes and show the advantages of a localized approach. We propose a framework that utilizes features from local regions of the face to achieve exact matching, and thus, enables the security offered by hash functions like SHA-256. We study the matching accuracy of different feature extractors, and propose measures to quantify the security offered by the scheme under reasonable real-world assumptions. The efficacy of our approach is demonstrated on the Multi-PIE face database.

We propose a novel combined wireless baseband processor architecture targeting the fast Fourier transform (FFT) for orthogonal frequency division multiplexing (OFDM), the discrete cosine transform (DCT) for video and audio compression, and the modified Walsh transform (MWT) for demodulation of the complementary code key (CCK) in the wireless standard 802.11b. The architecture is variable-length and is suitable for multi-mode and multi-standard OFDM communication systems such as 802.11a, digital audio broadcasting (DAB), digital video broadcasting-terrestrial (DVB-T), very-high-speed digital subscriber loop (VDSL), asymmetric digital subscriber loop (ADSL), and also for 802.11b. It also does joint photographic expert group (JPEG) and moving picture expert group (MPEG) texture en-/decoding. The combined architecture uses 42.5% fewer multipliers, and 35% fewer logic gates in the non-multiplier hardware, than three individual cores. It has a signal-to-noise-ratio (SNR) of 46.5dB with 8 input bits for a 1,024-size FFT. It saves 28.6% of the dynamic and 37% of the static power

Friction stir welding (FSW) is a solid-state joining technique that joins two facing workpieces without melting the workpiece material. It makes use of a deceased item. The region surrounding the FSW tool softens due to heat produced by friction between the revolving tool and the workpiece material. We are now working on specialised applications (lap and butt welding) while concentrating on test sorts. In addition to being faster than the state of the art, both provide lap welds that are 190% of the plate thickness, improve weld honesty, and lessen upper plate decline. Friction stir welding, or FSW for short, is a popular solid state joining method for soft materials like aluminium alloys. For stronger alloys like steel and titanium alloys, the FSW process's economic sustainability hinges on the creation of long-lasting, moderately cost equipment that reliably yields welds with outstanding structural integrity. The performance of the tool, weld quality, and cost are all impacted by material design and choice. This research reviews and critically examines many key FSW tool components, including process economics, geometry and load bearing capacity, frequency response analysis, tool degradation mechanisms, and tool material selection. The Finite Element Method (FEM) approach is used to characterise the process and provide a more comprehensive knowledge of the thermal effects and thermal inaccuracies on the tool materials.

Purpose of study: Additive manufacturing processes taking the basic information form computer-aided design (CAD) file to convert into the stereolithography (STL) data file. Today additive layer manufacturing processes are playing a very vital role in manufacturing parts with high rate of effectiveness and accuracy. CAD software is approximated to sliced containing information of each layer by layer that is printed. The main purpose of the study is to discuss the scientific and technological challenges of additive layer manufacturing processes for making polymer components production through various technological parameters and problem-solving techniques of layer manufacturing processes. Main findings: Additive layer manufacturing is simply another name for 3D printing or rapid prototyping. As 3D printing has evolved as a technology, it has moved beyond prototyping and into the manufacturing space, with small runs of finished components now being produced by 3D printing machines around the world. Additive layer manufacturing (ALM) is the opposite of subtractive manufacturing, in which material is removed to reach the desired shape Methodology Used: The continuous and increasing growth of additive layer manufacturing processes to discuss with different experimental behavior through simulations and graphical representations. In ALM, 3D parts are built up in successive layers of material under computer control. In its early days, 3D printing was used mainly for rapid prototyping, but it is now frequently used to make finished parts the automotive and aerospace sectors, amongst many others. The originality of study: At the present time, the technologies of additive manufacturing are not just using for making models with the plastics but using polymer materials. It is possible to make finished products developed with high accuracy and save a lot of time and there is the possibility of testing more models.