SciFish Sonar has recently published a White Paper entitled “Sonar Systems to Support Monitoring of Marine and Hydrokinetic Energy Sites”.  This paper describes two notional concepts of how sonar systems can provide hydrokinetic site monitoring.  The first concept utilizes an upward looking sonar system that is fully autonomous, dropped at the location of interest, moored to the bottom with an anchor, and collects data for several weeks or months.  The upward looking sonar is well suited for placement either at a proposed site, so that baseline information can be gathered, or near an existing site so that comparative data can be collected.  The second concept employs one or more sonar units that are deployed from the site’s superstructure.  The sonar units are networked together with the information aggregated, processed, stored and transmitted as needed.

For a copy of the white paper, click here.
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SciFish Receives Order for Additional Model SS-01 Units
November 14, 2010

SciFish has received an additional order for another set of Model SS-01 units to be used for salmon smolt counting in the Bristol Bay region of Alaska.  This is the third order of smolt sonar units from this customer, bringing their total number of units to over 30 pods that can be deployed in up to four separate arrays.

In addition to the SS-01 units, the customer has also requested two additional PM-01 units for continued evaluation in the Bering Sea.

For more information on the Model SS-01 or the Model PM-01, please visit our products page or contact us directly at pat@scifish.com.

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Mr. Simpson, SciFish President and Founder, has received the IEEE Computational Intelligence Society's Meritorious Service Award.  The award description is as follows:

For long time service to the computational intelligence community especially in the early days of the IEEE Neural Networks Council. Patrick K. Simpson’s IEEE involvement with neural networks started as the Lead Volunteer for the first International Conference on Neural Networks (ICNN 87). Simpson assumed larger roles with successive IEEE sponsored meetings, including Tutorials Chair (ICNN 88), Local Arrangements Chair  (IJCNN 90), Finance Chair (FUZZIEEE 92), and Publicity Chair (ICEC 94). Simpson served as the Program Chair for the IEEE Conference on Neural Networks for Ocean Engineering and was General Chairman of the Second IEEE World Congress on Computational Intelligence held in Anchorage AK (WCCI 98). Simpson was appointed to the IEEE Neural Networks Council (NNC) by the IEEE Ocean Engineering Society in 1990 and was immediately elected Treasurer. Four years later, at the age of 28, Simpson served as the third President of the IEEE NNC. During Simpson’s year as President he made several substantial changes to the IEEE NNC in an effort to move toward becoming a society including: moving revenue from conferences to periodicals; reorganizing the council to include Vice President positions for Finance, Periodicals, and Conferences and adding the Past-President position; and working closely with the organization committee for the inaugural IEEE World Congress on Computational Intelligence (WCCI 94). During that same year he led unsuccessful efforts to merge the NNC with the IEEE Systems Man and Cybernetics Society and introduce a new journal entitled the IEEE Journal of Applied Computational Intelligence. Simpson’s 1990 book Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations was the first attempt to provide a consistent mathematical description of twenty-seven well-recognized neural networks and provide an exhaustive set of references for each paradigm. Simpson was Editor of a Special Issue on Neural Networks for IEEE Journal Ocean Engineering, he edited two books for the IEEE Technology Update Series entitled Neural Networks Theory, Technology and Applications, and he co-authored the book Computational Intelligence with Russel Eberhart and Roy Dobbins. Simpson has published several journal papers on neural networks and their synergism with fuzzy systems and evolutionary computation. Simpson introduced Fuzzy Min-Max Neural Networks in 1990, showing that a hyperbox can be used to create classes and clusters and using these constructs to define fuzzy sets. Since their introduction, over 240 archival papers have been published that expanded, improved and applied this synergistic combination
of neural networks and fuzzy systems. Over the past fifteen years, Simpson has focused on entrepreneurial endeavors, founding companies that build sonar systems, unmanned underwater vehicles, and a variety of other marine products.

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SciFish completed the delivery of two SciFish Model 2100 units to Korea's NFRDI.  Training and acceptance were completed in Korea for the two units. Each of the units operates over two different broadband frequency ranges.  The standard unit operates over the bandwidth from 135 kHz to 200 kHz.  A Low Frequency model was also delivered that operates between 60 kHz to 120 kHz.

For more information on the Model 2100, please visit our products page or contact us directly at pat@scifish.com.

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SciFish Model 2100 Selected for Manatee Sonar Evaluation
June 7, 2010

SciFish's Model 2100 was selected for an evaluation if the feasibility of sonar to support the the Canaveral Harbor Maintenance Dredging Project.  The objective of the work is to determine how well the SciFish 2100 sonar technology is able to classify (identify) and track manatees within 200 feet of clamshell dredging operations.

Data will be collected at the Canaveral Lock in July with a report to follow.

For more information on the Model 2100, please visit our products page or contact us directly at pat@scifish.com.

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SciFish introduced the newest sonar model to its growing catalog of sonar products.  The Model PM-10 is a standalone sonar system designed to operate for up to a month on the sea bottom autonomously and is able to count and track fish continuously.  All data is stored in the unit and an optional wireless connection at the surface allows you to access your data at any time and itg can provide complete control of the unit while underwater; allowing you to change sampling parameters to better fit your needs.

Initial testing of four units and two surface units will be conducted this summer in the Bering Sea.

For more information on the Model PM-01, please visit our products page or contact us directly at pat@scifish.com.