Face alignment using a three layer predictor

Face alignment is an important feature for most facial images related algorithms such as expression analysis, face recognition or detection etc. Also, some images lose information due to factors such as occlusion and lighting and it is important to obtain those lost features. This paper proposes an innovative method for automatic face alignment by utilizing deep learning. First, we use second order gaussian derivatives along with RBF-SVM and Adaboost to classify a first layer of landmark points. Next, we use branching based cascaded regression to obtain a second layer of points which is further used as input to a parallel and multi-scale CNN that gives us the complete output. Results showed the algorithm gave excellent results in comparison to state-of-the-art algorithms

Heat removal from high temperature hardware while shielding electromagnetic interference

For devices with space constraints or lower heat generating components, connecting the heat generating component to another larger body, such as the enclosure metal, is a common heatsink solution. To ensure that the device antenna can function correctly, electromagnetic noise of the component is usually shielded by encapsulating the component with a grounded metal shield. For efficient heat dissipation, the number of intermediate items in the heat conduction path can be reduced by removing the shield cover or cutting a hole in the shield in order to sandwich a pad of conductive material between the component and the heatsink. While such an approach improves heat dissipation, it has a detrimental effect on the antenna because of the alteration to the electromagnetic interference (EMI) shield cover around the component. This disclosure describes a thermal and desense architecture to improve thermal conduction of high temperature components while incorporating and maintaining appropriate shielding for EMI

Wingtip Dynamics Simulator

Raytheon is a defense contracting company with an electronic warfare division that is developing a radio frequency signal triangulation system. Part of the focus in improving this technology is the need for accurate and real time locational knowledge of the signal receivers, which are located at the tips of aircraft wings. Due to turbulence during flight, the fluttering motion of the wings alter the distance and angle relationships of the two receivers and add noise to the received signal data, which negatively affect the triangulation estimates. To mitigate this error caused by the wing flutter, Raytheon is developing a software algorithm that predicts the precise locations of the signal receivers in space to attempt to clean up the incoming signal data. As part of the development process at Raytheon, there is a need for a device that can move a signal antenna in random, flutter-like motion so rapid testing and refinement of the algorithm can be done. Thus Raytheon has made this project available for us to complete. This project was completed over the course of one year, which was divided into three distinct phases of development. The first phase of the design process was research and design ideation. In this step, the project specifications that the completed device would have to meet was defined. Research into existing systems and available technologies was done to gain knowledge of the wide range of possible solutions that could be explored. During the second phase of the design process, various actuation methods and their feasibility for use in this project were analyzed, while iterative refinement of the device was also underway in parallel. The last phase involved building and testing the final design of the project. The final product that was born out of this process is a two axis, large amplitude, low frequency shake device. The vertical axis is belt-driven with a servo drive and meets the required maximum motion of 11 inch stroke at 1.6 Hz. The horizontal axis is rack and pinion driven with a DC motor that is controlled by an Arduino board in closed loop control that met the maximum motion requirement of 1.1 inch stroke at 3.2 Hz. Both of the drive systems were capable of generating a pseudorandom motion that resembles the flutter of wingtips

Face alignment using a three layer predictor

Face alignment is an important feature for most facial images related algorithms such as expression analysis, face recognition or detection etc. Also, some images lose information due to factors such as occlusion and lighting and it is important to obtain those lost features. This paper proposes an innovative method for automatic face alignment by utilizing deep learning. First, we use second order gaussian derivatives along with RBF-SVM and Adaboost to classify a first layer of landmark points. Next, we use branching based cascaded regression to obtain a second layer of points which is further used as input to a parallel and multi-scale CNN that gives us the complete output. Results showed the algorithm gave excellent results in comparison to state-of-the-art algorithms

Press-fit hinge and magnesium alloy enclosure for laptop cover attachment

Computing devices such as laptops utilize hinges to connect the lid of the device to its base. This disclosure describes a press-fit hinge mechanism for use in conjunction with magnesium alloy based enclosures that are utilized to attach a computing device lid to its base. The press-fit hinge mechanism includes a knurled shaft designed to be inserted into a magnesium alloy based enclosure. The teeth and lead-in chamfer geometry of the knurled shaft are designed to control the interference between the knurls and enclosure opening. A straight knurl pattern is utilized for ease of manufacture, and provides for better material flow via ridges of the knurled shaft, a lower insertion force, and a higher torsional resistance. The press-fit hinge mechanism enables tighter assembly tolerances, smaller assembly gaps and improved appearance for the device

Marine leptopel, its recovery, measurement and distribution

Leptopel, the colloidally or otherwise finely particulate organic and inorganic detritus suspended in natural bodies of water, varies in chemical composition and in relative quantities with reference to depth, latitude and proximity to land. The leptopelic material may be quantitatively recovered by passing the water through an ultrafilter of inert, insoluble adsorptiv.e powder. Apparatus has been designed to so recover such samples in situ at various depths