NDLI: An integrated maritime reasoning and monitoring system

Content Provider	IEEE Xplore Digital Library
Author	Tan, K.S.O. Sian Soo Tng
Copyright Year	2012
Description	Author affiliation: Defence Science & Technology Agency, Singapore (Tan, K.S.O.; Sian Soo Tng)
Abstract	Maritime information systems typically offer system features for data collection, information fusion and the automated construction of a basic recognized maritime picture for human operators. However making sense of maritime situations is still very much an intensive human-based cognitive endeavor. Limited human resources face difficult cognitive challenges in making sense of huge amount of data generated daily by dynamic round-the-clock maritime shipping and port activities. An effective information exploitation system for maritime surveillance and monitoring is expected to be able to augment human-based surveillance and monitoring operations with machine-based computing capabilities to interpret and reason about massive amount of situational information, as well as transforming this knowledge into actionable decision indicators for the human decision makers. The Defence Science & Technology Agency (DSTA) has developed the PACKED model to guide the exploration and development of computing technologies that support human decision making and other cognitive challenges in information rich, complex, and dynamic operational environments. An integrated maritime reasoning and monitoring system illustrates how computing technologies are applied in the areas of Attention, Knowledge, and Comprehension to support situation analysis and monitoring processes for maritime surveillance. The maritime reasoning and monitoring system consist of Bayesian reasoning, entity network analysis, and movement pattern analysis, to integrate, analyze, interpret and reason about maritime data. The Graylist Network Analysis (GNA) engine probes networks of entity-relationships to uncover “graylisted” entities that are closely associated with blacklisted entities. The Movement Pattern Analysis (MPA) engine uncovers common patterns in vessel movements and monitors real-time for maritime traffic data for anomalous vessel movements. The Bayesian network inference engine combines situation information from data sources and analysis results produced by analytical engines such as the GNA and MPA, with Bayesian knowledge models in order to infer probabilities of occurrences of maritime scenarios.
Starting Page	1345
Ending Page	1350
File Size	1177809
Page Count	6
File Format	PDF
ISBN	9781467304177
e-ISBN	9780982443859
e-ISBN	9780982443842
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-09
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	ISIF ( Intl Society of Information Fusi
Subject Keyword	Engines Monitoring Humans Computational modeling Pattern analysis Cognition Algorithm design and analysis Anomaly Detection Maritime Monitoring System Bayesian Reasoning Scenario Modeling Relationship Analysis Trend Analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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