DCS Corporation

Alexandria, VA, United States

DCS Corporation

Alexandria, VA, United States

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Rice V.J.,U.S. Army | Liu B.,DCS Corporation
Advances in Intelligent Systems and Computing | Year: 2017

Sustained attention is critical for military service members in operational environments. This study explored the relationship between sustained attention and mindfulness among military personnel and veterans (n = 247). Volunteers completed a sustained attention task (Integrated Visual and Auditory Continuous Performance Test), and two mindfulness surveys (Mindful Awareness and Attention Scale [MAAS] and the Five Facet Mindfulness Questionnaire [FFMQ]). Results revealed positive correlations between the MAAS and Full Scale Response Control Quotient (FSRCQ) and Full Scale Attention Quotient (FSAQ) scores. For the FFMQ, Acting with Awareness was positively correlated with the FSRCQ and FSAQ; Describing was correlated with FSRCQ; and Non-judging was correlated with FSAQ. Thus, increases in mindfulness were associated with increases in sustained visual and auditory attention, and certain facets of mindfulness were more closely aligned with sustained performance than others. These results suggest mindfulness training may assist with improving sustained attention, and that research in this area is warranted. © Springer International Publishing Switzerland 2017.

Rice V.J.,U.S. Army | Liu B.,DCS Corporation
Advances in Intelligent Systems and Computing | Year: 2017

Personal resilience refers to the ability to constructively adjust and move forward with ones’ life following tragic events or situations. However, few studies have examined the characteristics of highly resilient active duty military or veterans. This study examined the relationships between personal resiliency scores (The Resiliency Scale), demographics, general Self-Reported Health (SRH), and health symptomatology (Patient Health Questionnaire-15) among 263 U.S. active duty and veteran service members. Pearson Product-Moment Correlations, an Analysis of Variance, and Regression Analysis were used with a significance level of 0.05. Results showed that active duty service members were more resilient than the veterans in this population (p < 0.05). Findings also demonstrated that a higher education level, longer time on active duty, higher SRH, and lower symptomology were correlated with (p < 0.05) and contributed to greater resilience [F(4, 258) = 26.18, p < 0.01), R2 = 0.54]. These results demonstrate the importance of health and education, perhaps pointing toward a protective qualities that may also include longer service time. © Springer International Publishing Switzerland 2017.

News Article | May 9, 2017
Site: www.prweb.com

DCS Corporation (DCS), a premier professional services firm that provides engineering, programmatic and technical support services to the Department of Defense and other customers focused on national security, was awarded a five-year prime contract to support the Tank Automotive Research, Development and Engineering Center (TARDEC). Under this prime contract, DCS will provide expertise to TARDEC on-site at the Tank-Automotive and Armaments Command (TACOM) and other CONUS and OCONUS locations; supporting lifecycle engineering, Field Service to ground vehicle PMs for Material Solution, Operations & Support. DCS will also provide engineering services to support the acquisition and development of survivability systems, military ground vehicle robotics, software development and Post Production Software Support (PPSS), electrical and electronics architectures, high voltage power electronics, information systems security, mechanical engineering, science and technology, research and development, security engineering, and systems engineering on projects within TARDEC, and projects managed and supported by TARDEC. DCS will be working with TARDEC groups that provide research and development for ground vehicle systems developing advanced technologies for Ground Vehicle Power and Mobility (GVPM) Ground System Survivability (GSS), Ground Vehicle Robotic (GVR), Ground Vehicle Simulation Laboratory (GVSL), Software Engineering Center (SEC), Center for Systems Integration (CSI) and Vehicle and Electronics Architecture (VEA). DCS is proud to support TARDEC’s research, development, engineering, sustainment and management of cutting edge manned and unmanned ground vehicle systems, and the capabilities critical to the Warfighter in the form of common, fully developed, supportable, and reliable systems that align with strategic and operational requirements. DCS is a strong advocate of designing and building “tomorrow’s capabilities within today’s budget.” For more information about the work we do for the U.S. Army, please visit: https://www.dcscorp.com/our-customers/us-army/.   About DCS DCS offers advanced technology, engineering and management solutions to Government agencies in the ground vehicle domain. The transformative ideas and entrepreneurial spirit that characterize our 1,000 plus employee-owners allow DCS to ensure the success of each client’s mission and actively contribute to the well-being of the Nation. To learn more about DCS, please visit https://www.dcscorp.com.

BACKGROUND: U.S. military personnel face challenging situations including frequent deployments, family separations, and exposure to war. Identifying coping strategies used by the most resilient service members and veterans could positively influence military resiliency training programs. OBJECTIVE: The purposes of this paper are to investigate the relationship between coping and resilience among U.S. military active service members and veterans, to identify the coping strategies used by those considered most resilient, and to discuss coping and resilience as they relate to the workplace. METHODS: U.S. military active service members and veterans (N=191) completed a demographic survey and two self-report questionnaires: The 14-Item Resilience Scale [1] and the Brief COPE [2]. RESULTS: Active duty service members had higher resilience scores than veterans (p<0.05), but both fell into the moderate range. Coping strategies were not significantly different between the two groups (p>0.05). Active service members' resilience was predicted by their use of positive reframing and less use of self-blame as coping strategies, accounting for 52.3 of the variance (R2=0.523, F(2, 60)=32.92, p=0.000). Veterans' resilience was predicted by longer time-in-service, greater use of humor, and less use of self-blame as coping strategies, explaining 44.8 of the variance (R2=0.448, F(3, 116)=31.408, p=0.000). CONCLUSIONS: This research identifies the positive coping strategies, and least-used negative coping strategies, of the U.S. service members and veterans in our study population with higher resilience scores. Incorporating this information into military- or veteran-based resilience training is likely to increase training effectiveness. © 2016 - IOS Press and the authors.

Rice V.,U.S. Army | Liu B.,DCS Corporation
Work | Year: 2016

BACKGROUND: Interest in resilience has increased in recent years. The U.S. military focus is on personal health and adaptation following exposure to battle, while the civilian interest centers on adjustments subsequent to disastrous events. Coping skills are also relevant, yet the relationships between coping and resilience are unclear. OBJECTIVE: This brief review examines personal resilience and individual coping strategies, exploring definitions of each, along with their potential relationships to one another. Their potential contributions within a work setting are described. METHODS: A literature review was conducted using search terms of resilience, resiliency, personal resilience, coping and resilient coping. RESULTS: Coping refers to one's using purposeful actions to handle life situations. Coping techniques can be functional or dysfunctional and the situations one copes with may be acute or long term, severe or minor. Resilience refers to positive and functional handling of oneself and ones' life, referring to the ability to recover, recuperate, and regenerate following tragic events. CONCLUSIONS: While coping and resilience are related to one another, they are distinct concepts. Positive coping techniques may contribute to resilience. However, which coping techniques improve resilience, and in what circumstances, are questions for future research. © 2016 - IOS Press and the authors.

Nonte M.W.,DCS Corporation | Hairston W.D.,U.S. Army | Gordon S.M.,DCS Corporation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

One major challenge to the real-world use of brain-computer interface (BCI) technology is the decrease in classifier performance caused by degradations in electroencephalogram (EEG) signal quality due to artifacts from non-neural electrophysiological activity and the gross movement of sensors and other EEG hardware. These artifacts can contaminate or mask the neural signal and thus cause a decrease in the performance of BCI classifiers due to the system’s diminished ability to extract relevant features. One strategy to combat this effect is to identify and remove artifact-contaminated segments of data. We compared four methods that utilize higher order statistics to detect and artifact data on their ability to improve BCI classifier performance. We evaluated these methods on two datasets: a motor movement task and a rapid serial visual presentation (RSVP) task. In addition to comparing artifact detection methods, we compared the improvement in BCI classifier performance gained by removing artifact data to the decrease in performance caused by diminishing the amount of data available for classifier training. We found that overall the use of abnormal spectra to detect artifacts resulted in the greatest improvement to BCI classifier performance. © Springer International Publishing Switzerland 2016.

News Article | November 7, 2016
Site: www.prnewswire.com

ALEXANDRIA, Va., Nov. 7, 2016 /PRNewswire-USNewswire/ -- Under their joint venture (DMJV), DCS and Millennium Corporation, announced today it received three competitively awarded task orders to support U.S. Army sensors and night vision work. Work on the task orders will be performed...

Brabson S.,DCS Corporation | Anderson T.,U.S. Navy
IEEE Aerospace and Electronic Systems Magazine | Year: 2015

The US Navy's collision avoidance systems (CAS) software product consists of five different system capabilities: ground proximity warning system (GPWS), terrain awareness warning system (TAWS), obstacle avoidance system (OAS), mid-air collision avoidance system (MCAS), and auto-recovery CAS (AutoCAS). GPWS provides directive controlled fight into terrain (CFIT) protection against fight into level or descending terrain. TAWS provides directive CFIT protection against level, descending, and rising terrain. OAS provides directive protection and situational awareness, through a display, of man-made obstacles. MCAS provides passive protection and awareness of other airborne aircraft. AutoCAS provides active protection by interacting with the avionics system to take control of the aircraft to automatically avoid impact with terrain, obstacles, and/or aircraft. For each capability, the software product provides advisories or directive aural warnings and visual indications to the aircrew. The goal is to maximize protection and minimize nuisance warnings to ensure aircrew trust the system in a dynamic tactical environment [1]. Balancing protection with nuisance warnings is done by embedding an aircraft-specific performance model into the CAS software product. © 1986-2012 IEEE.

Hoffman C.,U.S. Navy | Giallorenzi T.G.,DCS Corporation | Slater L.B.,U.S. Navy
Applied Optics | Year: 2015

The Naval Research Laboratory (NRL) was established in Washington, DC in 1923 and is the corporate laboratory for the U.S. Navy and Marine Corps. Today NRL is a world-class research institution conducting a broad program of research and development (R&D), including many areas of optical science and technology. NRL is conducting cutting-edge R&D programs to explore new scientific areas to enable unprecedented Navy capabilities as well as improving current technologies to increase the effectiveness of Navy and other Department of Defense systems. This paper provides a broad overview of many of NRL's achievements in optics. Some of the remaining articles in this feature issue will discuss NRL's most recent research in individual areas, while other articles will present more detailed historical perspectives of NRL's research concerning particular scientific topics. © 2015 Optical Society of America.

Cerkez P.S.,DCS Corporation
Proceedings - Applied Imagery Pattern Recognition Workshop | Year: 2013

Semagrams are a subset of steganography. When a message is transmitted in a non-textual format, (i.e., in the visual content of an image), it is referred to as a semagram. While semagrams are relatively easy to create (as shown in published papers covering hiding techniques), detecting a hidden message in or embedded as an image-based semagram is a greater magnitude of difficultly than typical digital steganography. US Patents issued based on semagram technology show that this feature has been exploited in the copyright/watermarking world to increase protection. In a semagram, the image is the message and they work well for simple messages and dead drops. Attacks on semagrams are primarily visual examinations of artifacts. In the counter-espionage world, the rule of the thumb is that there is always a message hidden in an image or graphic, it is simply up to the steganalyst to find it. In short, detecting semagrams is a matter of recognizing patterns of patterns that represent a hidden message within an image. This presentation provides a brief summary of the technology underlying semagrams, present a short non-technical discussion of the technology used in the attack on semagrams, followed by a discussion on current work and planned future implementations of the proven semagram detection ANN. It will focus on extending the ANN to other domains (e.g., non-visual spectrums, multi/cross spectrum correlation, scene identification, image classification) and efforts to improve the processing speed and throughput via parallel/distributed methods. © 2013 IEEE.

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