Submission of proposals
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2) DaVinci Architecture - See http://call-ditt.leavenworth.army.mil/docs/CECOMBAA001.htm; 3) DaVinci Architecture - Also see diicoe.disa.mil/coe/aog_twg/twg/mstwg/agile_brief.ppt KEYWORDS: 3-D visualization, game engines, gaming technology, XML, DaVinci, C2, command and control, Future Combat Systems A03-084 TITLE: Ultrafast Charging of Smart Lithium Ion Rechargeable Battery Hybrid Power Sources TECHNOLOGY AREAS: Battlespace ACQUISITION PROGRAM: PM Soldier OBJECTIVE: To develop safe and ultrafast recharging on Smart lithum ion Rechargeable battery without using a large power supply. Since we developed the charger on the move for front line soldier, it is becoming very important to be able to recharge the battery in less time at the front line. It can reduce the logistic to bring a large amount of batteries to the field and recharge the battery at where that is needed. PHASE I: Identify and investigate by using a large lithium ion battery to recharge the small lithium ion battery such as LI7 land warrior battery.At what size the battery is required to recharge the LI7 ( which consisted of 16 18650 cells connected 4 in series and 4 in parallel)within half hour. PHASE II: Fabricate and demonstrate the energy density, safety aspects and cycle life capability in the LI7 lithium ion Land Warrior battery. PHASE III: Fabricate another system that can recharge a higher energy rechargeable battery like ITAS battery and a 100 AH lithium ion battery. This will set a base for future electric vehicle battery to be recharged in less than half hour. REFERENCES: 1) A. Deanni, L. Cristo, A. Pellegrino, and G. Au, " Smart SMBus Lithium ion Battery for Land Warrior " at Best Western Golden Sails Hotel, Long Bech, CA, 20-21 Feb 2002. 2) S. Slane, A. DeAnni, and R. Scarinzi, Maj. J. Raftery, and G. Au, “ Effect of Li-ion Charge Variance on Performance of a New Soldier System Battery”, Proceedings of the 40th Power Sources Conference, Cherry Hill, NJ, 10-13 June, 2002, page 520-523. 3) George Au, Laura Locke(cristo) and Jon Rafferty, " Performance and Characteristic of a large Lithium ion Cell with Low Temperature Electrolyte for U.S. Army Application", Proceedings of 16th Annual Battery Conference on Application and Advances, Long Beach CA, 09-12 Jan 2001, page 17-22. KEYWORDS: Charger, lithium ion battery, smart charger, ultrafast charger, large lithium ion battery. A03-085 TITLE: Lithium-Air Technology TECHNOLOGY AREAS: Electronics OBJECTIVE: To provide the warfighter with a small light weight lithium based power source that maximizes both specific energy and specific power. To give the warfighter extended mission times without an added portage burden. Developed electrochemical system that allows for covert forward missions due to a decreased signature. DESCRIPTION: Recent novel research has shown that a Li-air battery utilizing a nonaqueous electrolyte solution is capable of delivering extremely high capacities, in excess of 1000 mAh/g based on the mass of the carbon content of the air electrode. However, many problems have to be solved before this novel system can be integrated into the military and commercial markets. For example: shelf life has not been demonstrated, safety concerns have yet to be addressed and performance at low temperatures has not been demonstrated. The problems concerning shelf life and safety are highly dependent upon water introduced into the Li-air cell from atmospheric water vapor. The successful development of a Li-air battery will have major impact on a number of military programs, in particular, the Army’s Land Warrior (LW) and Objective Force Warrior (OFW) programs. PHASE I: Identify cell components which meet performance and safety requirements for a Lithium-Air electrochemical system. Fabricate proof of concept laboratory cells (20 mAhr or greater) for test and evaluation. Shelf life and safety of cells shall be addressed. PHASE II: Develop and demonstrate Lithium-Air electrochemical system employing laboratory cells (100 mAh cells). Fabricate laboratory cells (100 mAhr) for test and evaluation. Performance (1000 mAhr/g), shelf life and safety shall be addressed. This phase shall address each component of the lithium-air electrochemical system. Areas of the lithium air cell to be addressed include: anode, electrolyte, cathode and containment. Anode: Evaluate metallic Li anodes which exhibit decreased reactivity with water. Electrolyte: Develop nonaqueous and gelled electrolytes designed to minimize water solubility and/or contain water gettering additives. Cathode: Develop air cathodes which possess maximum efficiency for oxygen reduction (catalyst, kinetic and mechanistic studies) and simultaneously reject atmospheric water and selectively enhance O2 concentration over N2 concentration. Containment: Establish packaging protocol for developed Lithium-Air system. This area includes separators and cell containment focusing on safety and shelf life of the cells. PHASE III: Target Applications for Phase III include: 1) power source for remote and unattended sensors, 2) Forward field charging energy source, and 3) Energy component for battery/battery hybrid power sources for long term missions. REFERENCES: 1) K. M. Abraham and Z. Jiang, J. Electrochem. Soc. 144, 1 (1996). 2) J. Read, J. Electrochem. Soc. 149, A1190 (2002). 3) M. Salomon, H.-p. Lin, E. J. Plichta and M. Hendrickson, chapter 11, “Temperature Effects on Li-Ion Cell Performance” in Advances in Lithium-Ion Batteries, W.A. van Schalkwijk and B. Scrosati, eds., Kluwer/Plenum, NY, 2002. 4) K. Takechi and T. Shiga, US Patent 6,235,431, May 22, 2001. 5) Y. Nishi, chapter 7, “Lithium-Ion Secondary Batteries with Gelled Polymer Electrolytes” in Advances in Lithium-Ion Batteries, W.A. van Schalkwijk and B. Scrosati, eds., Kluwer/Plenum, NY, 2002. 6) B. Scrosati, chapter 8, “Lithium Polymer Electrolytes” in Advances in Lithium-Ion Batteries, W. A. van Schalkwijk and B. Scrosati, eds., Kluwer/Plenum, NY, 2002. 7) R. B. Heslop and P. L. Robinson, “Inorganic Chemistry,” Elsevier, Amsterdam, 1960. 8) S-I. Mho, B. Ortiz, N. Doddapaneni and S-M. Park, J. Electrochem. Soc. 142, 1047 (1995). 9) R. Battino, “Oxygen and Ozone” Volume 7 in the IUPAC Solubility Data Series, Pergamon Press, London, 1981. 10) R. Battino, “Nitrogen and Air” Volume 10 in the IUPAC Solubility Data Series, Pergamon Press, London, 1984. 11) A. Brokman and J. Goldstein, US Patent 5,185,218, February, 1993. 12) J. Goldstein, N. Naimer, E. Khasin and A. Brokman, US Patent 5,190,833, March, 1993. 13) R. E. Moore, “Preparation of a Gel Having Gas Transporting Capability,” US Patent 4,879,062, November, 1989. 14) J. R. Spears, “Stabilized Gas-Supersaturated Suspensions and Methods for Their Delivery,” US Patent 6,461,590, October, 2002. 15) H. H. Yong, H. C. Park, Y. S. Kang, J. Won and W. N. Kim, J. Membrane Science, 188, 151 (2001). 16) Y. S. Kang, B. Jung, U. Y. Kim, “Polymeric Dope Solution for use in the Preparation of an Integrally Skinned Asymmetric Membrane,” US Patent 5,795,920, August, 1998.
A03-086 TITLE: Commanders Portal Technology TECHNOLOGY AREAS: Information Systems OBJECTIVE: Develop software technology to permit a commander to design a configurable current situation monitoring display composed of user interface components selected from a set of display objects such that the selected objects may be individually configured to represent various aspects of the situation within the display. DESCRIPTION: Future battlefield commanders will be offered a potentially overwhelming assortment of data upon which they must make their decisions. One of the challenges of modern warfare will be to develop technologies that permit the commander to more easily determine what is important and what is not. Current component software technology suggests that it would be possible to build a collection of interface objects that encapsulates both a user interface and the ability to gather current information for display from a range of available external sources. Such a system would allow a commander to design a display panel by dragging and dropping instances of display components representing different user interfaces. The commander could then connect each display component to different information sources or to each other. A component could, for example, mimic a ?paper strip chart? and display several values over time using different colors. Another component could perform some processing, such as filtering, on incoming data and then feed the resulting data to another component for display. It would also be useful for the commander to be able to specify out of limit levels for components that would result in alert displays if values fall outside the set points. Such a system should be expandable by permitting the easy definition of new display components and data sources. PHASE I: Develop an overall system design that includes typical display components, processing components and data sources as well as a mechanism for introducing new components and data sources. PHASE II: Develop and demonstrate a prototype system in a realistic environment. Conduct testing to prove feasibility over a range of operating conditions and input sources. PHASE III DUAL USE APPLICATIONS: This system could be used in a range of military and civilian applications whenever an on-going situation needs to be monitored. Examples might include battlefield current situation monitoring, homeland security situation monitoring, resource monitoring and situational analysis. REFERENCES: 1) Jef Raskin, The Humane Interface: New Directions for Designing Interactive Systems, Addison-Wesley, 2000. ISBN: 0201379376. 2) Matthew Macdonald, User Interfaces in VB.NET: Windows Forms and Custom Controls, APress, 2002. ISBN: 1590590449. 3) Howlett, V. Visual Interface Design for Windows. Wiley: New York, NY, 1996. KEYWORDS: situation monitoring, configurable display, display components, interface objects, alert displays, interface components A03-087 TITLE: Use of Cognitive Systems in Generation of Course of Action TECHNOLOGY AREAS: Information Systems, Human Systems OBJECTIVE: To assist the warfighter with a software tool to rapidly conceptualize and prioritize relevant information. To provide the Objective Force decision-maker with a powerful and fast information processing tool. This software tool will be able to operate on textual messages, which describe distributed sensory data, terrain, situational awareness (SA) and common operational picture (COP). DESCRIPTION: The information exchange in the battle space is done using Natural Language in the form of either speech or text. The ‘understanding’ of Natural Language by the computer, or at least a constrained language such as Battle Command Language (BML) [S. A. Carey, et al 2001], can be achieved when linguistic concepts are grounded in the relationships between battlespace entities and the physical world. Also, the wealth of data residing within the nodes of existing C4ISR systems is virtually untapped. The proposed cognitive system can tap into these data resources and with the aid of entity relational functions [P. Chen 1976, and A. M. Meystel, J. S. Albus, 2002], rapidly provide the Objective Force Warrior with time critical information. The cognitive system forms an associative relationship between battlespace objects and variables. The functions that are used in computing these relationships are derived from the doctrine, rules of engagement, and ontology and can be user defined. The proposed cognitive system will use existing methods of Course of Action development and analysis to validate, correlate and relate information content to the battlespace. This should allow the critical elements of the informational content to emerge as a result of the Course of Action analysis. As the information is received, its content should be parsed into different functional domains and different levels of resolution. An entity relational network will be formed to prepare the information for analysis. The advantages of this approach should results in a very fast information retrieval, since the information is continually segmented into task relevant knowledge repositories. The cognitive system will be provided as add-on software to existing systems. The cognitive system will be able to operate very fast on very large sets of C4ISR data. By clustering the data at several levels of resolution, the software will allow better and faster decisions at the tactical, strategic, and operational levels. Examples of applications are: 1. Course of Action analysis 2. Planning 3. Friend-or-foe deconfliction 4. Fast asset allocation 5. Multiple time critical target tracking, weapon selection, deconfliction 6. Survivability, lethality and responsiveness enhancements. 7. On-the-move mission execution monitoring. PHASE I: 1. Research and propose a suitable architecture to support a cognitive system functionality to allow Natural Language or its subset the Battle Management Language (BML) to be understood by a computer. This architecture should provide a conceptual framework between battlespace entities such as terrain, resources and Natural Language. 2. Develop a software model to demonstrate the proposed architectural concept. 3. Provide a small conclusive metrics via experimental results to demonstrate superiority of the proposed architecture as compared to, for example, using current state-of-the-art Internet-based information retrieval technology. PHASE II: 1. Develop and demonstrate a realistic C2 or a C4ISR application of a cognitive system to C4ISR using the architecture developed in Phase I. Develop the necessary software using a minimum of a 500-word vocabulary (BML based), to a. Demonstrate ability of a computer understand and appropriately react in response to free text messages b. Understand commander’s intent and provide a warning with explanation if the intent is deviated c. Use Planning or Course of Action analysis to demonstrate system capabilities 2. Provide conclusive metrics via experimental results to demonstrate superiority of the developed software. PHASE III DUAL USE APPLICATIONS: The resulting framework allowing a computer system to use Natural Language as input, is useful for retrieving information based on concepts rather than key words. Examples of Military applications are: Objective Force, Network Centric Warfare, and Future Combat Systems. Examples of Commercial are: Law Enforcement, Homeland security, Internet Search Engines, and any Man-Machine Interfaces using textual or verbal inputs REFERENCES 1.) [S. A. Carey, et al 2001] S. A. Carey, M. S. Kleiner,. M.R. Hieb, R. Brown, "Standardizing Battle Management Language - A Vital Move Towards the Army Transformation, 2001 Fall Simulation Interoperability Workshop, http://www.sisostds.org/siw/01fall/readlist.htm 2) [J. F. Sowa 200] John F. Sowa, Knowledge Representation: Logical, Philosophical, and Computational Foundations, Brooks Cole Publishing Co, 2000. 3) [P. Chen 1976] Chen P. P, The Entity-Relationship Model - Toward a Unified View of Data, ACM Transactions on Database Systems, Vol. 1, No 1, March 1976, pp 9-36 4) [A. M. Meystel, J. S. Albus, 2002] Alexander M. Meystel, James S. Albus, Intelligent System: architecture, design and control, John Wiley and Sons, 2002. 5) [E. Dawidowicz, et. al 2002] Edward Dawidowicz, Albert Rodriguez, John Langston, Intelligent Nodes in Knowledge Centric Warfare, CCRTS 2002 Monterey, CA, Naval Postgraduate School, 11-13 June 2002, http://www.dodccrp.org/Activities/Symposia/2002CCRTS/Proceedings/Tracks/pdf/101.PDF 6) [E. Dawidowicz and A. Meystel in print] E. Dawidowicz, A. Meystel, "Modeling of Communication Flows in Systems with Intelligent Nodes", in Proceeding of the Workshop on Theoretical Fundamentals of Intelligent Systems, held in March 2002 as a part of JCIS, in Durham, NC.
A03-088 TITLE: Near-Real Time Tactical Automated Machine Translation Technology(N-TAMTT) TECHNOLOGY AREAS: Information Systems ACQUISITION PROGRAM: Sequoia PEO for Foreign Language Translation OBJECTIVE: To develop a fully automated Windows-based Machine Translation software system with robust syntactic processing algorithms and large-scale bilingual lexicons with semantic features that will automatically scan/read Modern Standard Arabic (preferably Iraqi dialect, idioms and taxonomy) documents and translate them between English and Arabic text with high quality accuracy (preserve original meaning ) between 80 to 90 percent accuracy based on quality levels and pre-existing government scales for adequacy, informativeness, and intelligibility. This SBIR will also provide tremendously needed MT capability for use in the joint and multinational coalition environment. DESCRIPTION: Every hour, millions pages of documents in Arabic languages are transmitted via email, fax, regular mail and other forms of media to known and questionable destinations. Only a small portion of the transmitted data is of any interest or value to the “Intelligence Community and governmental agencies”. These activities have a requirement to access, retrieve, understand, share, analyze, correlate, store and publish information of intelligence value to national and international organizations. In addition, warfighters may capture documents for which they need to determine their domain and translate the text which might contain critical enemy information. Warfighters are also engaged in coalition operations which require joint collaboration in the planning, rehersal and execution of military operations with Arabic speaking allies. Because the Arabic language has more complex inflectional morphology than other languages and lexically is more ambiguous, it creates unusually dense translation ambiguities that impede computational analysis, interpretation and translation of large texts in a time constrained environment. Despite many available commercial Arabic MT systems in the market, there has yet to be a commercial-grade MT software product that can satisfactorily meet the Army’s large volume of Arabic into English MT requirement and the high quality level needed for coalition warfare. The Army requires the application of "next generation MT software” to address the urgent NLP MT difficulties associated in persevering the meaning of Arabic to English as well as English to Arabic. To that end, basic MT computational analysis R&D is needed ( i.e.: bilingual Corpus-based MT, Memory based MT, Example Based MT, Statistically based MT and morphological tagging etc) to achieve high reliability and broad coverage qualities in a matured MT system. The objective design will have the basic capabilities to integrate (1) comprehensive syntactic processing and semantic analysis that takes into account context to disambiguate meaning; (2) thorough and deep morphological analysis; (3) full-scale lexicons, partitioned by domain (e.g., military, medical, computer); and (4) English and Arabic generation understandable by a native speaker of the target language. PHASE I: Conduct feasibility studies in all areas of N-TAMTT, Corpus-based MT, combination of a linguistic approach with a statistical approach to fine-tune the alignment and enhance processing of bilingual corpora in order to develop design and demonstrate basic functionalities of a totally integrated and fully automatic functioning MT software module with capability to: a- Translate between Arabic and English text with 70 to 80% accuracy using a representative but restricted lexicon. b- The restricted lexicon will cover three areas: 1) Basic usage (the verb to be, go, come, read, look etc), 2) Intelligence gathering including some colloquial Arabic (Arabic English equivalent of “ain’t”, “gonna”), 3) Coalition warfare. c- Detect context of the document (e.g. medical document, engineering specification document, newspaper article, business letter, etc.) with an accuracy of 50% or more d- Determine the main subject of the document, summarize and classify its contents before translation into English with an accuracy of 20% or more e- Develop a preliminary user’s manual. f- Define comprehensive plans; including detailed engineering specifications, methodology, estimated man-years and requirements for enhancements to make System practical commercial-grade software upon completion of Phase II (Translation Accuracy: Accuracy is measured by the post edit ratio defined as the total number of words in edited text minus the number of words changed, moved or deleted divided by the total number of words after editing. PHASE II: Phase II would be continuation of Phase I with the aim of developing a fully integrated and functioning prototype system or components, which should have dual use market potential. Under Phase II, the bidder will demonstrate capabilities with commercial components. Prototype should be mature enough to attract commercial venture capitals for full product release making the prototype into a commercial-grade product, by making enhancements and using findings of Phase I. a- Reject duplicated items with 95% accuracy b- Translate between Arabic and English text with 80 to 90% accuracy. PHASE III DUAL USE APPLICATIONS: Commercialization of a fully automated MT system has large market applications. Commercializing capabilities may have functionalities in such fields such as personal, educational, journalism, historical, lessons learned and the academic arena and many more. For this Phase, implement the results of Phase I and Phase II, develop, demonstrate and deliver a user friendly working module to perform functionalities with the specific application overlays cited above. REFERENCES: Evaluation is recognized as an extremely helpful forcing function in Human Language Technology R&D. The following reports will be helpful. 1) IBM Research Report, BLUE: a Method for Automatic Evaluation of Machine. Translation IBM report # RC22176 (W0109-022) dated September 17, 2001-Copies can be requested from IBM T. J. Watson Research Center , P. O. Box 218, Yorktown Heights, NY 10598 USA-email: reports@us.ibm.com Donna M. Gates, Carnegie Mellon University, Pittsburgh, USA dmg@cs.cmu.edu
1) http://domino.watson.ibm.com/library/CyberDig.nsf/home 2) Evaluation of Machine Translation Output for an Unknown Source Language: Report of an ISLE-Based Investigation by: Keith J. Miller, The MITRE Corporation, Washington D.C., USA keith@mitre.org 3) Computational Linguistics Formalisms for MT: http://wings.buffalo.edu/linguistics/rrg/ 4) Lexical Functional Grammar http://www-lfg.stanford.edu/lfg/ 5) GOTs MT/NLP tools: http://www.geocities.com/gyaeger123/NLP/index.htm 6) View Army knowledge on line. Look for US Army transformation and the Objective Force (OF) at: http://www.army.mil. 7)- Toward Corpus-Based Machine Translation for Standard Arabic: http://accurapid.com/journal/19mt.htm 8) Latest Developments in Machine Translation Technology- Beginning a New Era in MT research: http://ourworld.compuserve.com/homepages/WJHutchins/MTS-93.htm 9) Work Shop announcement- Computational Approaches to Semitic Languages http://www.cs.um.edu.mt/~mros/WSL/ 10) Predicting Intelligibility from Fidelity in MT Evaluation by: John White Litton PRC, 1500 PRC Drive, McLean VA 22102 white_john@prc.com 11) In One Hundred Words or Less by: Florence Reeder MITRE Corporation- 7515 Colshire Drive, McLean, VA, 22102 USA freeder@mitre.org Directory: osbp -> sbir -> solicitations solicitations -> Army sbir 09. 1 Proposal submission instructions dod small Business Innovation (sbir) Program solicitations -> Navy sbir fy09. 1 Proposal submission instructions solicitations -> Army 16. 3 Small Business Innovation Research (sbir) Proposal Submission Instructions solicitations -> Air force 12. 1 Small Business Innovation Research (sbir) Proposal Submission Instructions solicitations -> Army 14. 1 Small Business Innovation Research (sbir) Proposal Submission Instructions solicitations -> Navy small business innovation research program submitting Proposals on Navy Topics solicitations -> Navy small business innovation research program solicitations -> Armament research, development and engineering center solicitations -> Army 17. 1 Small Business Innovation Research (sbir) Proposal Submission Instructions solicitations -> Navy 11. 3 Small Business Innovation Research (sbir) Proposal Submission Instructions Download 1.85 Mb. Share with your friends:
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