McLean, VA, United States
McLean, VA, United States

Booz Allen Hamilton Inc. is an American management consulting firm headquartered in Tysons Corner, Fairfax County, Virginia in Greater Washington DC, with 80 other offices throughout the United States. Its core business is the provision of management, technology and security services, to civilian government agencies, as a security and defense contractor to defense and intelligence agencies, and to civil and commercial entities. Their scope of services includes strategic planning, human capital and learning, communications, operational improvement, information technology work, systems engineering, organizational change efforts, computer modeling and simulation, program management, assurance and resilience, and economic business analysis.Booz Allen Hamilton was founded in 1914. It is one of the oldest management consulting firms in the world. By the end of the 1950s, Time Magazine dubbed the firm "the world's largest, most prestigious management consulting firm."In 1970, Booz Allen went public with an initial offering of 500,000 shares at $24 per share. Trading continued through 1976.As of August 2008, Booz Allen Hamilton’s former parent company divided in two. The Booz Allen Hamilton moniker was retained by the half focusing on U.S. governmental contracts, with Booz & Company taking sole control of its commercial strategy and international portfolio. However, as Booz Allen's three-year noncompete provision has expired, it is now building out its commercial consulting practice, focusing on technology integration and cybersecurity programs. Booz Allen Hamilton is majority owned by private equity firm The Carlyle Group, while Booz & Company is owned and operated as a partnership. Booz & Company was subsequently acquired by PricewaterhouseCoopers and is now known as Strategy&. On November 17, 2010, Booz Allen's shares of common stock began trading at the New York Stock Exchange on January 2, 2014.As of 2013, 99% of the company's revenue comes from the Federal government. It has been ranked 1st by Vault in public sector consulting in 2014, and from 6th to 4th best technology consulting firm worldwide on a number of criteria, including prestige and quality, since 2012. Wikipedia.

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Roski J.,Booz Allen Hamilton | Bo-Linn G.W.,Alvarez and Marsal | Andrews T.A.,Booz Allen Hamilton
Health Affairs | Year: 2014

Big data has the potential to create significant value in health care by improving outcomes while lowering costs. Big data's defining features include the ability to handle massive data volume and variety at high velocity. New, flexible, and easily expandable information technology (IT) infrastructure, including so-called data lakes and cloud data storage and management solutions, make big-data analytics possible. However, most health IT systems still rely on data warehouse structures. Without the right IT infrastructure, analytic tools, visualization approaches, work flows, and interfaces, the insights provided by big data are likely to be limited. Big data's success in creating value in the health care sector may require changes in current polices to balance the potential societal benefits of big-data approaches and the protection of patients' confidentiality. Other policy implications of using big data are that many current practices and policies related to data use, access, sharing, privacy, and stewardship need to be revised. © 2014 by Project HOPE - The People-to-People Health Foundation.

Haynes C.A.,Booz Allen Hamilton | Gonzalez R.,Advanced Research Projects Agency Energy
Nature Chemical Biology | Year: 2014

If methane, the main component of natural gas, can be efficiently converted to liquid fuels, world reserves of methane could satisfy the demand for transportation fuels in addition to use in other sectors. However, the direct activation of strong C-H bonds in methane and conversion to desired products remains a difficult technological challenge. This perspective reveals an opportunity to rethink the logic of biological methane activation and conversion to liquid fuels. We formulate a vision for a new foundation for methane bioconversion and suggest paths to develop technologies for the production of liquid transportation fuels from methane at high carbon yield and high energy efficiency and with low CO 2 emissions. These technologies could support natural gas bioconversion facilities with a low capital cost and at small scales, which in turn could monetize the use of natural gas resources that are frequently flared, vented or emitted. © 2014 Nature America, Inc. All rights reserved.

An exemplary system for communicating data includes a light source that emits light and a processing device that receives and encodes data into a communication signal. A modulator modulates light emitted by the light source, wherein the modulation is imperceptible to the human eye, and the modulated light includes the encoded data. The modulation of the transmitted light is imperceptible to a human eye. A receiving device receives the modulated light and processes the light to decode the encoded signal and obtain the data.

Booz Allen Hamilton | Date: 2013-06-03

An exemplary apparatus and associated method are disclosed for analyzing surface degradation. The apparatus can include a sensor configured to acquire images of a surface; and a processing device configured to correlate the acquired images to a geo-coordinate, to extract at least one property of a surface abnormality identified in at least one of the acquired images, and to generate trend data based on changes over time in the at least one property of the surface abnormality identified in the images, which are correlated to a common geo-coordinate.

A method and device are provided for detecting non-visible content of an object in a non-contact manner. The device includes a light source configured to emit light toward a surface of an object over a period of time. The device also includes an optical sensing component configured to receive a pattern of light from the surface of the object, and to record the received pattern at plural points in time. In addition, the device includes a processing component configured to determine temporal changes in the pattern during the plural points in time, and to detect whether motion is present in the object based on determined temporal changes in the pattern, where the motion represents a frequency source of non-visible content in the object.

Booz Allen Hamilton | Date: 2013-05-16

Exemplary systems and methods are directed to establishing a signature for a device emitting electromagnetic radiation (EMR). The system includes a radio frequency (RF) receiver, a signal processor, and a signature generator. The RF receiver samples detected EMR, generate pulses having characteristics that are a function of the EMR, and select generated pulses in a spectral band having energy above a predetermined threshold. The signal processor establishes a set of correlated pulses, computes a vector space associated with the set of correlated pulses, and compares each pulse in the set of correlated pulses to a basis of the vector space for establishing a device signature, and associates pulses having a threshold percentage of energy within the basis in a database with a device identifier.

Booz Allen Hamilton | Date: 2015-09-18

A mobile computing device, including: a first memory device having first computer-readable instructions tangibly recorded thereon; a first hardware processor configured to execute the first computer-readable instructions recorded on the first memory device; and an RFID component that includes a transceiver configured to receive a proximity signal from at least one RFID reader when the RFID component is within a predetermined range of the at least one RFID reader, and a second memory device configured to store the proximity signal, wherein the first hardware processor is configured to, upon executing the instructions recorded on the first memory device, control at least one operation of the mobile computing device in accordance with the proximity signal received by the transceiver of the RFID component from the at least one RFID reader.

Booz Allen Hamilton | Date: 2013-01-11

An exemplary interference nulling system includes an electromagnetic energy (e.g., RF) based system such as a radar system for transmitting radar signals and receiving return signals reflected from a target, and a nulling device having a surface for diffracting/blocking the transmitted signals to electromagnetically obscure the target. The nulling device is preferably sited between the transmitter and the target in a blanking range of the radar system.

Methods and systems for Sustained Testing and Awareness Refresh against Phishing threats (STAR*Phish) are disclosed. In an embodiment, a method assigns schemes and unique identifiers to target e-mail addresses associated with a user accounts. The method delivers e-mail messages to the targeted e-mail addresses, the e-mail messages comprising an HTTP request and a unique identifier associated with each of the user accounts. The method then receives, at a Phishing Metric Tool (PMT), a response including the unique identifier. The PMT logs training requirements for the user accounts, tracks response metrics for the training requirements, and redirects the respective HTTP requests to a phishing training tool (PTT). The PTT sends a notification of the user account identities and the unique identifiers to the PMT and returns a status for the training requirements for the user accounts. Upon completion of the training, the PMT sends completion notifications for the user accounts.

Booz Allen Hamilton | Date: 2015-11-19

A portable, handheld device for forensic analysis that includes: an input unit configured to receive a forensic input at a scene of forensic analysis; and a processing unit configured to generate a first image of the forensic input, scale the first image to a predetermined format suitable for forensic analysis, and generate a second image of the forensic input in which the first image is scaled to the predetermined format, compare the second image with forensic records, each forensic record including previously collected forensic data associated with one or more individuals or specimens, determine whether the second image matches at least a portion of one of the forensic records, upon determining that the second image matches at least a portion of one of the forensic records, generate a matching notification identifying the record which the second image is determined to match, and output the generated matching notification.

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