A Ubiquitous Context-Aware Environment for Surgical Training

Ordóñez, Patricia; Kodeswaran, Palanivel; Korolev, V. M.; Li, W.; Walavalkar, O.; Elgamil, B.; Joshi, Anupam; Finin, Timothy W.; Yesha, Yelena; George, Ivan

doi:10.1109/mobiq.2007.4451029

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…1,2,8 However, there have been only two systematic approaches attempted: DyKnow, which intro duces the notion of primitive streams, stream generator, stream consumer, and stream processor; 2 and the work by Emanuele Della Valle and colleagues, 4 which applies to data streams the concepts of identification, selection, abstraction, and reasoning proposed in the LarKC approach. 24 Investigations into a conceptual architecture, concrete implementations, design environments, and an evaluation framework to compare and contrast different implementations are clearly still needed.…”

Section: Engineering and Implementationsmentioning

confidence: 99%

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It's a Streaming World! Reasoning upon Rapidly Changing Information

et al. 2009

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person behind the computer? Which content on the news Web portal is attracting the most attention? Which navigation pattern would lead readers to other news related to that content? Do trends in medical records indicate any new disease spreading in a given part of the world? Where are all my friends meeting? Can we detect any intra-day correlation clusters among stock exchanges? What are the top 10 emerging topics under discussion in the blogosphere, and who is driving the discussions?Although the information required to answer these questions is becoming increasingly available on the (Semantic) Web, there's currently no software system capable of computing the answersindeed, no system even lets users issue such queries. The reason is straightforward: answering such queries requires systems that can manage rapidly changing worlds at the semantic level.Of course, rapidly changing data can be analyzed on the fl y by specialized data-stream management systems, but such systems can't perform complex reasoning tasks, and they lack a protocol to publish widely and to provide access to the rapidly changing data.Reasoners, on the other hand, can perform such complex reasoning tasks, and the Semantic Web is providing the tools and methods to publish data widely on the Web. These technologies, however, don't really manage changing worlds: accessing and reasoning with rapidly changing information have been neglected or forgotten by their development communities.The state of the art in reasoning over changing worlds is based on temporal logic and belief revision; these are heavyweight tools, suitable for data that changes in low volumes at low frequency. Similarly, the problem of changing vocabularies and evolving ontologies has undergone thorough investigation, but here the standard practice relies on confi guration management techniques taken from software engineering, such as vocabulary and ontology versioning. These are suitable for ontologies that change on a weekly or monthly basis, but not for high-change-rate, high-frequency domains.Moreover, the typical (Semantic) Web architecture, which caches all the information, can hardly be applied to rapidly changing information, because the crawled data would be obsolete at the time of querying.We therefore suggest a completely different approach. Stream reasoning, an unexplored yet highimpact research area, is a new multidisciplinary approach that can provide the abstractions, foundations, methods, and tools required to integrate data streams, the Semantic Web, and reasoning systems, thus providing a way to answer our initial questions and many others.In this column, we describe two concrete examples of stream-reasoning applications and introduce stream-reasoning research problems. We also present a list of research areas that we believe should be investigated to turn stream reasoning into a reality.

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Section: Engineering and Implementationsmentioning

confidence: 99%

“…[1][2][3][4] Other areas of interest are financialtransaction auditing, 5 wind power plant monitoring, 6 situation-aware mobile services, 7 and patient monitoring systems. 8 All the works we've just cited have come out of the Semantic Web community; researchers have been struggling with "classical" tools to solve streaming problems.…”

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confidence: 99%

It's a Streaming World! Reasoning upon Rapidly Changing Information

et al. 2009

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“…For these reasons, much research has been done to develop effective, intelligent training techniques to improve laparoscopy skills of practicing surgeons and trainees. A variety of surgical training systems have been proposed and developed to serve as the underlying practice platforms (Ordonez and et. al.…”

Section: Introductionmentioning

confidence: 99%

Safety-Assured Offline-Online Path Planning with Reduced Storage Requirements in Simulated Surgical Training

2017

Modeling and Simulation in Medicine Symposium (MSM 2017)

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Optimal path planning and re-planning are essential requirements for efficient robotic and laparoscopy surgical education as they guide instruments through the operating field. Ensuring collision free paths and training under uncertainty, with limited dependence on an expert surgeon's assistance, are key aspects to be considered. In this paper, a hybrid path planning method is introduced to assist in surgical training that combines offline and online approaches for trajectory generation. The proposed offline-online path planner integrates features of offline approaches that guarantee safe navigation with real-time re-planning capability of online planners. It reduces memory storage requirements of the trajectories for online path planning, by more effectively saving them as segments, catering to the portability of the surgical systems. The efficacy of the proposed approach is demonstrated in a simulated training environment for hand-eye coordination tasks on the Computer Assisted Surgical Trainer (CAST) platform.

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Using ZigBee and Room-Based Location Technology to Constructing an Indoor Location-Based Service Platform

Cheng

2009

2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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A Ubiquitous Context-Aware Environment for Surgical Training

Cited by 4 publications

References 10 publications

It's a Streaming World! Reasoning upon Rapidly Changing Information

It's a Streaming World! Reasoning upon Rapidly Changing Information

Safety-Assured Offline-Online Path Planning with Reduced Storage Requirements in Simulated Surgical Training

Using ZigBee and Room-Based Location Technology to Constructing an Indoor Location-Based Service Platform

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