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1
Proof of Concept in Disrupted Tactical Networking
Kline,Thomas D. - 2017
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2
Opportunities for Next Generation BML: Semantic C-BML
In: DTIC (2014)
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3
Decision Allocation of C2 System Based on ULMADM
In: DTIC (2014)
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4
Controlled English for Effective Communication during Coalition Operations
In: DTIC (2013)
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5
Using Target Network Modelling to Increase Battlespace Agility
In: DTIC (2013)
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6
Assessing Intelligence Operation/Fusion/Coordination Centers for Efficiency Opportunities
In: DTIC (2013)
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7
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
In: DTIC (2013)
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8
C2-Simulation Interoperability in NATO
In: DTIC (2013)
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9
Interacting with Multi-Robot Systems Using BML
In: DTIC (2013)
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10
A Spoken Dialogue System for Command and Control
In: DTIC (2012)
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11
Enhancing Digital Skills Training: Interactive Multimedia Instruction
In: DTIC (2012)
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12
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
In: DTIC (2011)
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13
A Smarter Common Operational Picture: The Application of Abstraction Hierarchies to Naval Command and Control
In: DTIC (2011)
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14
Towards a Semiotic Information Position Framework for Network Centric Warfare
In: DTIC (2011)
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15
A Linguistic Foundation for Communicating Geo-Information in the context of BML and geoBML
In: DTIC (2010)
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16
Command and Control - Paradigm Shift Ahead
In: DTIC (2010)
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17
Speech Understanding in Noise in the Bison Command, Control, Communications and Intelligence (C3I) Mobile Command Post (MCP)
In: DTIC (2010)
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18
Blog Fingerprinting: Identifying Anonymous Posts Written by an Author of Interest Using Word and Character Frequency Analysis
In: DTIC (2009)
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19
A Study of Topic and Topic Change in Conversational Threads
In: DTIC (2009)
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20
Detecting Age in Online Chat
In: DTIC (2009)
Abstract: Over 90 % of teens in the United States use the Internet, and many use it for social interaction. Due to the faceless nature of digital communication, criminals can easily pose as legitimate users to build friendship and trust with potential victims. Even though fewer youths are going to chat rooms and talking to people they do not know, the number of youths receiving aggressive solicitations for offline contact has not declined. Most sexual solicitations go unreported to law enforcement and parents. Though it is a crime for an adult to sexually exploit a minor, it is not always a crime for teens to solicit other teens. It would be of great help to law enforcement agencies if they could automatically detect adults soliciting teens versus teens soliciting other teens in online chat. This study analyzes the effectiveness of different machine learning techniques to distinguish chat conversation by teens and adults. Using proposed techniques, we classified teen and adult conversations with an accuracy of 86 %. The goal of this research is to build an automatic recognition system of adults conversing with teens, capable of detecting predators and alerting agencies or parents of possible inappropriate conversations. ; The original document contains color images.
Keyword: *AGE DETECTION; *AGE DISTRIBUTION; *CHAT GROUPS; *CHAT ROOMS; *COMPUTER CRIMES; *INTERNET; *ONLINE SYSTEMS; *PATTERN RECOGNITION; *SOCIAL COMMUNICATION; ADULTS; AUTHORSHIP PROFILING; AUTOMATIC; CASUALTIES; Command; Computer Programming and Software; Control and Communications Systems; CRIMINOLOGY; CYBERTERRORISM; DIGITAL COMMUNICATIONS; FAMILY MEMBERS; Human Factors Engineering & Man Machine System; HUMAN RELATIONS; Information Science; INSTANT MESSAGING; LAW ENFORCEMENT; LEARNING; LEARNING MACHINES; Linguistics; METADATA; METHODOLOGY; N-GRAMS; NAIVE BAYES CLASSIFIERS; OFFLINE SYSTEMS; ONLINE CHAT; RECOGNITION; Sociology and Law; SOLICITATIONS; STOP WORDS; SUPPORT VECTOR MACHINES; THESES; UNITED STATES; VOICE COMMUNICATIONS
URL: http://www.dtic.mil/docs/citations/ADA508858
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA508858
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