Computer-Based Aerial Port Simulation (CAPS): Designing an Experimental Platform for Examining Team-Based Logistics Collaboration

Seyba, Jason; Lyons, Joseph B.; Ames, David L.

doi:10.1109/cts.2006.30

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…The first step is to replicate the results in [4] using an OpNet model. After confirmation of the OpNet model's ability to simulate the 802.11b network described in [4], it is possible to build and simulate a network that corresponds to the multimedia CAPS application [11].…”

Section: Methodsmentioning

confidence: 99%

“…It should be noted that the 352x480 case is not able to support the CAPS application [11]. Based on the expected results for an ideal wireless network without bit errors, we can now explore the effect of packet error rate on the capacity of the network through the use of a model built with OpNet.…”

Section: Analytical Model For H264 Video Codecmentioning

confidence: 99%

“…The scenario that we will consider in this paper is the deployment of an experimental platform that the Logistics Readiness Branch of the Air Force Research Laboratory uses for understanding team-level psychological variables in a simulated aerial port (CAPS) [11]. Expansion of the team-based synthetic task environment will include the ability of each of the participants to interact with one another using real-time video and audio feeds.…”

Section: Introductionmentioning

confidence: 99%

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Audio-video capacity of an IEEE 802.11g wireless LAN

Seyba

Mullins

Bonafede

2007

2007 International Symposium on Collaborative Technologies and Systems

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Simulation results and an analytical model of an application that uses both audio and video in an IEEE802.11g wireless network are presented in this paper. Consideration of the effect of the Real Time Control Protocol (RTCP) and the type of video codec on the quality of the voice channel is examined. Analytical and simulation results suggest that five terminals each running four 352x288 pixel video displays at 30 frames per second are still able to send and receive high quality G.711 audio content. KEYWORDS: Mobile and Wireless Collaborative Systems, Collaborative Applications. 0-9785699-1-1/07/$25.00 ©2007 IEEE.

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Section: Methodsmentioning

confidence: 99%

Section: Analytical Model For H264 Video Codecmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Audio-video capacity of an IEEE 802.11g wireless LAN

Seyba

Mullins

Bonafede

2007

2007 International Symposium on Collaborative Technologies and Systems

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“…The focus of this report is in the US Air Force Military Services. As previously mentioned, this work will expand upon the simulation in [16,17] to show how to apply the three disciplines of information, graph and optimization theories to better understand flow performance in logistics systems when viewed within the context of a distributed network-centric system.…”

Section: Brief Overview Of Logistic Related Applicationsmentioning

confidence: 99%

“…Team munitions logistics are simulated in a Brigade Combat Team study via a discrete event simulation model to examine a number of different operating conditions and to understand the sensitive parameters in a better way for a successful operation [15]. In [16,17] a logistics system which emulates a Computer based Aerial Port Simulation, CAPS (cf., Figure 16) is investigated for the problem of refreshing or resupplying an aircraft just landing on the ground. Many issues related to human collaboration and team interactions can be studied within this platform.…”

Section: Brief Overview Of Logistic Related Applicationsmentioning

confidence: 99%

Synthesizing the Dynamics of Cyberspace Visual Renderings for Distributive Systems to Characterize Cyber Attack, Performance, and Vulnerability

Roberts¹,

Nutakki²,

Repperger³

2011

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to the Department of Defense, Executive Service Directorate (0704-0188). Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ORGANIZATION. REPORT DATE (DD-MM-YYYY)31-01-2011 5f. WORK UNIT NUMBER 718411AM REPORT TYPE Final DATES COVERED (From PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Florida A&M University, Division of Research 1500 Wahnish Way Tallahassee FL 32307-3100 PERFORMING ORGANIZATION REPORT NUMBER SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)Air Force SPONSOR/MONITOR'S ACRONYM(S)711 HPW/RHCV SPONSOR/MONITOR'S REPORT NUMBER(S) AFRL-RH-WP-TR-2011-0065 DISTRIBUTION/AVAILABILITY STATEMENTDistribution A. Approved for public release; distribution unlimited. SUPPLEMENTARY NOTES88ABW Cleared 06/07/2011; 88ABW-2011-3265. ABSTRACTThe objective is to better understand and synthesize the dynamic response of complex and distributed networks when they are under cyber attack. Modern complex and distributed systems now are highly vulnerable and can be easily compromised by attacks at key nodes. Finding the key nodes or links in a model of a distributed network system is critically important to understand how to mitigate an attack. An analysis tool needs to be developed to first determine what areas of a complex network may be highly vulnerable so that commanders and other decision makers can help protect their assets. Most modern complex and distributed networks have been built in an ad hoc manner where nodes, links, and other connections spring up without any real planning. Decision makers then have to assign authority and responsibility to the key constituent players and they need a framework and basis to improve their allocation of scarce resources to protect complex networks. From another point of view, some networks are hostile and the overall objective would be to attack and take such a network down. The expression taking a network down is assumed to be equivalent to producing congestion and restricting the flow of important military assets, water, food, medicine and other important entities. ii AbstractAn increasing number of Air Force related systems are being modeled as networks. This has motivated philosophical discussions concerning distributed networked operations and network centric warfare. However, successful application of such approaches will require a solid mathematical foundation. In this work, a mathematical framework is proposed that...

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