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Wolden M.,BAE System | Valverde R.,Concordia University at Montreal | Talla M.,Concordia University at Montreal
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2015

Cyber espionage and malware attacks pose a great danger to many organisations, particularly those that embrace the use of modern technology to enhance efficiency. Although new off-the-shelf applications for enterprise resources planning (ERP) and management provide higher availability and better service, they are often customised, that can leave some scope for security gaps. While organisations have put in place tight security measures, malicious end users use security loopholes found in various systems to commit common cybercrimes such as denial of services, web hacking and defacement, malware, spam and phishing. The Supply Chain Management System (SCMS) is no stranger to such cybercrimes and certainly requires an Information Systems (IS) Security Framework in fighting off malware attacks. This paper investigates the effectiveness of the implementation of the COBIT 5 Information Security Framework in the reduction of risk of Cyber Attacks on SCMS. In this effort, qualitative data was gathered for a comprehensive security questionnaire targeted to IS administrators and managers responsible for Supply Chain organizations that use COBIT 5 framework for security. The results indicated that COBIT 5 added a new dimension for IS security governance via strict policies and rule set that further strengthened enterprise applications security. Overall, we found that organization benefited from implementing the COBIT 5 framework security measures in SCMS and ERP systems. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Source


Effi cient, accurate data collection from imagery is the key to an economical generation of useful geospatial products. Incremental developments of traditional geospatial data collection and the arrival of new image data sources cause new software packages to be created and existing ones to be adjusted to enable such data to be processed. In the past, BAE Systems’ digital photogrammetric workstation, SOCET SET®, met fi n de siècle expectations in data processing and feature extraction. Its successor, SOCET GXP®, addresses today’s photogrammetric requirements and new data sources. SOCET GXP is an advanced workstation for mapping and photogrammetric tasks, with automated functionality for triangulation, Digital Elevation Model (DEM) extraction, orthorectifi cation and mosaicking, feature extraction and creation of 3-D models with texturing. BAE Systems continues to add sensor models to accommodate new image sources, in response to customer demand. New capabilities added in the latest version of SOCET GXP facilitate modeling, visualization and analysis of 3-D features. © 2015, Polish Academy of Sciences. All rights reserved. Source


Saito Y.,University of Colorado at Boulder | Fontaine D.,BAE System | Rollin J.-M.,Nuvotronics, LLC | Filipovic D.S.,University of Colorado at Boulder
Microwave and Optical Technology Letters | Year: 2010

Monolithic, 450-μm tall, rectangular coaxial Gysel divider is presented in this article. The divider is fabricated by a surface micromachining process with six sequentially deposited copper layers. A three-port, resistor-less divider has overall loss of 0.6 dB at 30 GHz, input port reflection coefficient better than -10 dB, and output amplitude and phase misbalances of ±0.18 dB and ±1.8°, respectively, throughout Ka-band. The device is designed in a way that permits straightforward realization of a Gysel divider with integrated resistors. Electromagnetic and electrothermal analyses and design of the divider are conducted, and good agreement with measurements is obtained. © 2009 Wiley Periodicals, Inc. Source


Ozcanli O.C.,Vision Systems, Inc. | Dong Y.,Vision Systems, Inc. | Mundy J.L.,Vision Systems, Inc. | Webb H.,BAE System | And 2 more authors.
International Journal of Computer Vision | Year: 2016

Modern satellites tag their images with geolocation information using GPS and star tracking systems. Depending on the quality of the geopositioning equipment, errors may range from a few meters to tens of meters on the ground. At the current state of art, there is no established method to automatically correct these errors limiting the large-scale joint utilization of cross-platform satellite images. In this paper, an automatic geolocation correction framework that corrects images from multiple satellites simultaneously is presented. As a result of the proposed correction process, all the images are effectively registered to the same absolute geodetic coordinate frame. The usability and the quality of the correction framework are demonstrated through a 3-D surface reconstruction application. The 3-D surface models given by original satellite geopositioning metadata, and the corrected metadata, are compared. The quality difference is measured through an entropy-based metric applied to the orthographic height maps given by the 3-D surface models. Measuring the absolute accuracy of the framework is harder due to lack of publicly available high-precision ground surveys. However, the geolocation of images of exemplar satellites from different parts of the globe are corrected, and the road networks given by OpenStreetMap are projected onto the images using original and corrected metadata to demonstrate the improved quality of alignment. © 2015, Springer Science+Business Media New York. Source

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