Dolphins
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IEEE Organizations related to Dolphins
Back to TopConferences related to Dolphins
Back to TopOCEANS 2016
The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.
2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
The Conference focuses on all aspects of instrumentation and measurement science and technology research, development and applications. The list of program topics includes but is not limited to: Measurement Science & Education, Measurement Systems, Measurement Data Acquisition, Measurements of Physical Quantities, and Measurement Applications.
OCEANS 2014 - TAIPEI
The OCEANS conference covers all aspects of ocean engineering from physics aspects through development and operation of undersea vehicles and equipment.
Periodicals related to Dolphins
Back to TopOceanic Engineering, IEEE Journal of
Bayes procedures; buried-object detection; dielectric measurements; Doppler measurements; geomagnetism; sea floor; sea ice; sea measurements; sea surface electromagnetic scattering; seismology; sonar; acoustic tomography; underwater acoustics; and underwater radio communication.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...
IEEE Spectrum Magazine, the flagship publication of the IEEE, explores the development, applications and implications of new technologies. It anticipates trends in engineering, science, and technology, and provides a forum for understanding, discussion and leadership in these areas. IEEE Spectrum is the world's leading engineering and scientific magazine. Read by over 300,000 engineers worldwide, Spectrum provides international coverage of all ...
Xplore Articles related to Dolphins
Back to TopCommunity detection using Ant Colony Optimization
Chang Honghao; Feng Zuren; Ren Zhigang 2013 IEEE Congress on Evolutionary Computation, 2013
Many complex networks have been shown to have community structure. How to detect the communities is of great importance for understanding the organization and function of networks. Due to its NP-hard property, this problem is difficult to solve. In this paper, we propose an Ant Colony Optimization (ACO) approach to address the community detection problem by maximizing the modularity measure. ...
Complex network analysis: The need for speed
Sebastian Wandelt; Xiaoqian Sun 2016 35th Chinese Control Conference (CCC), 2016
Complex network analysis has become a critical research area for the design and evaluation of complex systems, due to the increasing success of modeled phenomena. Accordingly, there is a growing need for easy-to-use and fast network analysis software packages. In this work, we report on a comprehensive benchmark of state-of-the-art network analysis software. We perform exhaustive experiments on a set ...
Junichi Kojima; Harumi Sugimatsu; Tamaki Ura; Rajendar Bahl; Sandeep Behera; Hari Singh; Vivek Sheel Sagar 2013 MTS/IEEE OCEANS - Bergen, 2013
The authors have been developing an acoustic observation system that can record the high-frequency bio-sonar clicks of Ganges river dolphins and can estimate their 3D location in real time. In order to expand the coverage of the acoustic measurement, we deployed and installed one more hydrophone array system about 100 meters away from the original observation system. Combining the measurement ...
A joint learning framework for attribute models and object descriptions
Dhruv Mahajan; Sundararajan Sellamanickam; Vinod Nair 2011 International Conference on Computer Vision, 2011
We present a new approach to learning attribute-based descriptions of objects. Unlike earlier works, we do not assume that the descriptions are hand-labeled. Instead, our approach jointly learns both the attribute classifiers and the descriptions from data. By incorporating class information into the attribute classifier learning, we get an attribute-level representation that generalizes well to both unseen examples of known ...
Epidemioloy of Bottlenose Dolphin Disease - U.S. Atlantic Coast, 1987-1988
J. Geraci OCEANS '88. A Partnership of Marine Interests. Proceedings, 1988
First Page of the Article 
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Educational Resources on Dolphins
Back to TopeLearning
Community detection using Ant Colony Optimization
Chang Honghao; Feng Zuren; Ren Zhigang 2013 IEEE Congress on Evolutionary Computation, 2013
Many complex networks have been shown to have community structure. How to detect the communities is of great importance for understanding the organization and function of networks. Due to its NP-hard property, this problem is difficult to solve. In this paper, we propose an Ant Colony Optimization (ACO) approach to address the community detection problem by maximizing the modularity measure. ...
Complex network analysis: The need for speed
Sebastian Wandelt; Xiaoqian Sun 2016 35th Chinese Control Conference (CCC), 2016
Complex network analysis has become a critical research area for the design and evaluation of complex systems, due to the increasing success of modeled phenomena. Accordingly, there is a growing need for easy-to-use and fast network analysis software packages. In this work, we report on a comprehensive benchmark of state-of-the-art network analysis software. We perform exhaustive experiments on a set ...
Junichi Kojima; Harumi Sugimatsu; Tamaki Ura; Rajendar Bahl; Sandeep Behera; Hari Singh; Vivek Sheel Sagar 2013 MTS/IEEE OCEANS - Bergen, 2013
The authors have been developing an acoustic observation system that can record the high-frequency bio-sonar clicks of Ganges river dolphins and can estimate their 3D location in real time. In order to expand the coverage of the acoustic measurement, we deployed and installed one more hydrophone array system about 100 meters away from the original observation system. Combining the measurement ...
A joint learning framework for attribute models and object descriptions
Dhruv Mahajan; Sundararajan Sellamanickam; Vinod Nair 2011 International Conference on Computer Vision, 2011
We present a new approach to learning attribute-based descriptions of objects. Unlike earlier works, we do not assume that the descriptions are hand-labeled. Instead, our approach jointly learns both the attribute classifiers and the descriptions from data. By incorporating class information into the attribute classifier learning, we get an attribute-level representation that generalizes well to both unseen examples of known ...
Epidemioloy of Bottlenose Dolphin Disease - U.S. Atlantic Coast, 1987-1988
J. Geraci OCEANS '88. A Partnership of Marine Interests. Proceedings, 1988
First Page of the Article 
More eLearning Resources
IEEE-USA E-Books
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Vocal, Social, and Self-Imitation by Bottlenosed Dolphins
This chapter contains sections titled: Imitation by Animals, General Principles: Definition and Premises in the Study of Imitation by Dolphins, The Dolphin Subjects, Vocal Imitation: Imitation of Arbitrary Computer-Generated Sounds; Imitation of Signature Whistles, Behavioral Imitation of Others (Social Imitation), Self-Imitation: Repeating Arbitrary Directed Behaviors and Self-Selected Behaviors under Control of an Abstract Gesture, Summary and Discussion, Acknowledgments, Notes, References
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Virtual Worlds as Fuzzy Dynamical Systems
Fuzzy cognitive maps (FCMs) can structure virtual worlds that change with time. A FCM links causal events, actors, values, goals, and trends in a fuzzy feedback dynamical system. A fuzzy rule defines a fuzzy patch in the input -output state-space of a system. It links commonsense knowledge with state- space geometry. A FCM connects the fuzzy rules or causal flow paths that relate events. It can guide actors in a virtual world as the actors move through a web of cause and effect and react to events and to other actors. Experts draw FCM causal pictures of the virtual world. Complex FCMs can give virtual worlds with ?>new?> or chaotic equilibrium behavior. Simple FCMs give virtual worlds with periodic behavior. They map input states to limit-cycle equilibria. A FCM limit cycle repeats a sequence of events or a chain of actions and responses. Limit cycles can control the steady-state rhythms and patterns in a virtual world. In nested FCMs each causal concept can control its own FCM or fuzzy function approximator. Appendix A shows how an additive fuzzy system can uniformly approximate any continuous (or bounded measurable) function on a compact domain to any degree of accuracy. This gives levels of fuzzy systems that can choose goals and causal webs as well as move objects and guide actors in the webs. FCM matrices sum to give a combined FCM virtual world for any number of knowledge sources. Adaptive FCMs change their fuzzy causal web as causal patterns change and as actors act and experts state their causal knowledge. Neural learning laws change the causal rules and the limit cycles. Actors learn new patterns and reinforce old ones. In complex FCMs the user can choose the dynamical structure of the virtual world from a spectrum th at ranges from mildly to wildly nonlinear. We use an adaptive FCM to model an undersea virtual world of dolphins, fish, and sharks.