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News Article | May 17, 2017
Site: www.eurekalert.org

WASHINGTON (May 17, 2017) -- A team of investigators led by researchers at Georgetown Lombardi Comprehensive Cancer Center has found that the tumor mutation load, or TML, in a patient's cancer biopsy varied by age and the type of cancer, along with several other factors. Researchers say the findings are some of the most comprehensive analyses of TML to date as they include 14 types of solid tumors. Over 8,000 tissue samples were included in the study making this one of the larger collections of tumors examined for TML. The abstract describing the work was released today. Additional details will be presented at the American Society of Clinical Oncology annual meeting next month in Chicago. TML is a measurement of the number of mutations in DNA. Mutated DNA can be subsequently translated to harmful changes in proteins. Mutated proteins often appear foreign to the immune system and can therefore activate a robust immune response that can be boosted by immunotherapeutic agents. "One of our more interesting findings was the fact that mutation load increased with age in many cancers," says the study's principal investigator, Mohamed E. Salem, M.D., assistant professor of medicine at Georgetown Lombardi. "Older age correlated closely with TML in most of the cancers we examined, but in some cancers, such as bladder cancer, there was no correlation by age, which also makes for an important observation in a difficult to treat type of cancer." Looking for high levels of mutations in tumor may seem to be a contrary way of looking for what therapies might be most effective to fight cancer. Because immunotherapies work by taking the brakes off the immune system, and hence allowing immune-fighting cells to go after cancer cells, the more mutations a cancer cell has may make it appear more alien to the immune-fighting cells and therefore, a more focused object of attack. If a cell's TML is high, an immunotherapy could be more effective and hence Salem's interest in quantifying TML. Tumor mutation load also could be used as a marker to determine which types of cancer and which patients, or subsets of patients, could most benefit from immunotherapy. "We found that, as expected, melanoma had the highest TML as we know clinically that this type of cancer responds best to immunotherapy," says Salem, also a member of Georgetown Lombardi's Ruesch Center for the Cure of GI Cancer. "Indeed, the mean TML for melanoma was nearly double that of the next highest mean, non-small cell lung cancer. In addition, we see that high TML often occurs in tumors lacking well-known cancer-related genes, like BRAF or NRAS genes in melanoma and EGFR or ALK genes in non-small cell lung cancer. This suggests that immune checkpoint inhibitors may be particularly effective in patients who are not candidates for common targeted therapies in these types of cancer." "Our next step is to validate and correlate TML levels with outcomes in patients who have received immunotherapy. We'll look to see if patients had high TML levels before they started therapy and then determine if those with the highest levels had the best clinical outcome, which is what we might expect," he says. "If validation studies prove helpful, they could be very useful in designing clinical trials for many types of cancer," Salem concludes. Co-authors include John Marshall, Michael Atkins, Jimmy J. Hwang, Geoffrey Thomas Gibney, Georgetown Lombardi; Joanne Xiu, Zoran Gatalica, and Nianqing Xiao, Caris Life Sciences; Heinz-Josef Lenz, USC Norris Comprehensive Cancer Center; Philip Agop Philip, Karmanos Cancer Center: Antoinette R. Tan and Derek Raghavan, Levine Cancer Institute; Wafik S. El-Deiry, Fox Chase Cancer Center; and Edward S. Kim and Anthony Frank Shields, Wayne State University. The work was supported by the Ruesch Center for the Cure of GI Cancers. CARIS provided analysis of the tumor samples. Salem and the other co-authors report having no personal financial interests related to the study. Georgetown Lombardi Comprehensive Cancer Center is designated by the National Cancer Institute as a comprehensive cancer center -- the only cancer center of its kind in the Washington, DC area. A part of Georgetown University Medical Center and MedStar Georgetown University Hospital, Georgetown Lombardi seeks to improve the diagnosis, treatment, and prevention of cancer through innovative basic and clinical research, patient care, community education and outreach, and the training of cancer specialists of the future. Connect with Georgetown Lombardi on Facebook (Facebook.com/GeorgetownLombardi) and Twitter (@LombardiCancer). Georgetown University Medical Center (GUMC is an internationally recognized academic medical center with a three-part mission of research, teaching and patient care (through MedStar Health). GUMC's mission is carried out with a strong emphasis on public service and a dedication to the Catholic, Jesuit principle of cura personalis -- or "care of the whole person." The Medical Center includes the School of Medicine and the School of Nursing & Health Studies, both nationally ranked; Georgetown Lombardi Comprehensive Cancer Center, designated as a comprehensive cancer center by the National Cancer Institute; and the Biomedical Graduate Research Organization, which accounts for the majority of externally funded research at GUMC including a Clinical and Translational Science Award from the National Institutes of Health. Connect with GUMC onFacebook (Facebook.com/GUMCUpdate), Twitter (@gumedcenter) and Instagram (@gumedcenter).


Hoggarth A.,CARIS | Kenny K.,Kraken Sonar
2014 Oceans - St. John's, OCEANS 2014 | Year: 2015

SAS is becoming a powerful tool for hydrographic surveys in addition to its original use as a mine detection sensor. This technology can provide very high resolution seafloor imagery and bathymetry over the full extent of the swath. SAS lends itself for use with Autonomous Underwater Vehicles (AUVs) because of the stable nature of these platforms. As the hydrographic industry begins to adopt AUV technology, especially given the efficiencies they can bring, it is clear that SAS will have a greater role to play. This trend is driving a requirement to support this data effectively in the data processing software tools that are used by the hydrographic industry. This involves new requirements and workflows to handle the increased data volumes that result from the centimeter level resolutions that these sensors are capable of generating. Another key concept is understanding the difference in geometries involved in SAS data collection as it compares to multibeam, the concept of frames of data instead of swaths requires some changes in approach, which will be explained. The data processing emphasis from a survey utilizing a SAS is different from traditional vessel based operations. For example, early experiences suggest that more attention needs to be given to dataset combining rather than data cleaning. Another important observation is understanding how to run a survey with SAS, what line configurations are appropriate when conducting a route survey and how does this differ for an area based survey for the purposes of charting. There are also some technological advancements that could streamline the SAS workflow and aid its adoption as a hydrographic tool. One such technology is variable resolution surface creation. This emerging terrain modelling technique would allow high resolution SAS data and lower resolution multibeam data to be stitched seamlessly together into a single terrain model allowing for more efficient data transfers, more integrated and robust data cleaning techniques and easier object detection. Another advancement that will benefit surveys utilizing this technology is onboard and near real-time data processing solutions. This is being driven by the nature of this data; its density and the autonomous way in which it is collected. This concept will also be explained. The paper's aim will be to not only highlight the new considerations that need to be understood when using this technology as a hydrographic mapping tool, but to also demonstrate this through appropriate use cases. © 2014 IEEE.


Adda P.,University of New Brunswick | Coleman D.,University of New Brunswick | Masry M.,CARIS
American Society for Photogrammetry and Remote Sensing Annual Conference 2012, ASPRS 2012 | Year: 2012

Rapid advancements in imaging and geospatial data capture technologies have led to major challenges in validating data quality. Based on experience in determining minimum specifications for LiDAR data collection and sharing among multiple organizations, solving this challenge can involve adopting flexible Quality Assurance and Quality Control specifications and metadata standards (Adda and Coleman, 2010). However, there were recurring limitations among LiDAR data users in this research to perform independent investigations to determine "false accuracies" and establish if data accuracies are within tolerances for project-specific applications. This paper discusses development of independent, generic processes and algorithms required to support a User Determined Total Uncertainty Budgeting (UDTUB) model. The model stems from Hare's [2001] model employed in CARIS™ software originally developed to determine uncertainties in multibeam bathymetry. Least Square Adjustment techniques are utilized to determine data processing and integration error budgets. Smoothed best estimated trajectories and comprehensive files from commercial LiDAR vendors are inputs to estimate the error expected from using a LiDAR system. Errors of multiple datasets are correlated and compared to user error budgets using Spearman's rank correlation coefficients. Preliminary tests produced positive correlation between error budgets of large datasets and corresponding ground truthing surveys. The UDTUB model shows superiority over previous methods as it quantifies error budget confidence by using simulated or physical controls and permits independent and holistic uncertainty estimation of large datasets.


News Article | November 10, 2015
Site: phys.org

More than eight out of every 10 individuals surveyed said such robots should not be used for aggression, and 67 per cent said they should be banned across the planet. More than a thousand people from 54 countries, including the United States, Canada, South Korea, Mexico and the U.K. answered the survey. It was conducted by the Open Roboethics initiative (ORi), a UBC-based group that studies issues concerning robotics and artificial intelligence. "It has been said that future wars will be fought with completely automated systems," said AJung Moon, ORi spokesperson and a PhD candidate in mechanical engineering at UBC. "The survey results clearly show that more public discussion is necessary so that we can make intelligent decisions about robotic weapon technologies." If pressed to make a choice, most people (71 per cent) said they would prefer that their country use remotely operated weapons—such as the military drones already being used by a few armies—instead of fully autonomous weapons. Many (56 per cent) would prefer that autonomous weapons never be developed or used at all. The survey, one of the largest on the subject, will be presented at the United Nations Convention on Certain Conventional Weapons (CCW) Meeting of States Parties slated for Nov. 12-13. The CCW bans or restricts the use of specific types of weapons that could cause unnecessary or unjustifiable suffering to combatants or affect civilians indiscriminately. "Robotic weapon technology is constantly marching forward, so it's crucial that we have an understanding of public perception and opinion on the matter. This survey certainly contributes to the growing body of information," said Machiel Van der Loos, associate director of UBC's human-robot interaction research group, the Collaborative Advanced Robotics and Intelligent Systems (CARIS) Laboratory. The survey, The Ethics and Governance of Lethal Autonomous Weapons Systems, was funded by the Natural Sciences and Engineering Research Council of Canada. Visit http://www.openroboethics.org/laws_survey to download copies of the report or to participate in the survey, which will continue to collect data on an ongoing basis. Explore further: Survey shows widespread public opposition to 'killer robots,' support for new ban campaign


News Article | December 13, 2016
Site: marketersmedia.com

LONDON, UK / ACCESSWIRE / December 13, 2016 / Active Wall St. blog coverage looks at the headline from Teledyne Technologies Inc. (NYSE: TDY). The Company announced and E2V technologies plc, jointly announced on December 12, 2016, that they have entered an agreement where E2V would be acquired by the US-based tech giant by means of a Scheme of Arrangement. Under the terms of the acquisition, Teledyne will shell out approximately £620 million (about $786 million) and E2V's shareholders will receive 275 pence cash for each E2V share they hold. Register with us now for your free membership and blog access at: http://www.activewallst.com/register/. One of Teledyne Technologies' competitors within the Scientific & Technical Instruments space, Keysight Technologies, Inc. (NYSE: KEYS), reported on November 17, 2016, its financial results for the fourth fiscal quarter and fiscal year ended Oct. 31, 2016. AWS will be initiating a research report on Keysight Technologies in the coming days. Today, AWS is promoting its blog coverage on TDY; touching on KEYS. Get all of our free blog coverage and more by clicking on the links below: Teledyne is primarily a B2B service provider, where it provides enabling technologies for industrial growth markets. Teledyne, which was once an aerospace and defense oriented firm, now serves multiple markets through its diversified offerings. Be it space exploration, deepwater oil and gas exploration and production, air and water quality environmental monitoring, or factory automation. E2V Technologies is one of the leading imaging sensor developers. Based in the UK, E2V is involved in several programs, such as Airbus A380, Boeing airplanes, numerous NASA and European Space Agency missions (for example, Hubble Space Telescope upgrade project), US defense projects, etc. E2V employs more than 1,750 people across its 9 engineering locations and 6 sales offices, located across Europe, America, and Asia. Teledyne has probably set itself on the road to be the leader in industrial technology provider segment. It acquired CARIS business, a Canada-based firm, on May 4, 2016, for an undisclosed amount. CARIS primarily dealt in developing geospatial software designed for hydrographic and marine engineering segments. On November 2, 2016, Teledyne announced the acquisition of assets of IN USA, Inc. IN USA develops gas sensors and monitors which are designed to use across several industrial process applications. The acquisition of E2V is yet another attempt to bring potential competitors under Teledyne's roof. The acquisition of E2V by Teledyne is a clear indication that the two ventures, which would probably cross paths in the near future, are set to work together, to develop relevant solutions. Teledyne speculates that the proprietary CMOS sensor design from E2V would help expand its strengths in camera and vision systems. In the space research segment, both Teledyne and E2V are leaders, where Teledyne provides infrared detectors, while E2V is limited to visible light sensors. This attribute is visible in almost every segment, where E2V provides its products. According to Robert Mehrabian, CEO and President of Teledyne: "We have followed E2V for more than a decade. Over time, as both Teledyne and E2V evolved, our businesses have become increasingly aligned. In fact, every business within E2V is highly complementary to Teledyne. As important, there is minimal product overlap." Teledyne has already received acceptances from about 45% of its shareholders, and the firm's board supports the acquisition. The transaction is expected to be completed in the first half of calendar 2017, where it is subject to regulatory approvals. On Monday December 12, 2016, Teledyne Technologies' shares were marginally down 0.79%, finishing the day at $126.39 with volume of 410.06 thousand shares exchanging hands by the close of the trading session. The stock advanced 7.80% in the last month, 21.75% in the past three months, and 27.23% in the previous six months. Furthermore, on a year to date basis, the stock soared 42.49%. Shares of the company have a PE ratio of 23.01 and currently have a market cap of $4.47 billion. Active Wall Street (AWS) produces regular sponsored and non-sponsored reports, articles, stock market blogs, and popular investment newsletters covering equities listed on NYSE and NASDAQ and micro-cap stocks. AWS has two distinct and independent departments. One department produces non-sponsored analyst certified content generally in the form of press releases, articles and reports covering equities listed on NYSE and NASDAQ and the other produces sponsored content (in most cases not reviewed by a registered analyst), which typically consists of compensated investment newsletters, articles and reports covering listed stocks and micro-caps. Such sponsored content is outside the scope of procedures detailed below. AWS has not been compensated; directly or indirectly; for producing or publishing this document. The non-sponsored content contained herein has been prepared by a writer (the "Author") and is fact checked and reviewed by a third party research service company (the "Reviewer") represented by a credentialed financial analyst, for further information on analyst credentials, please email info@activewallst.com. Rohit Tuli, a CFA® charterholder (the "Sponsor"), provides necessary guidance in preparing the document templates. The Reviewer has reviewed and revised the content, as necessary, based on publicly available information which is believed to be reliable. Content is researched, written and reviewed on a reasonable-effort basis. The Reviewer has not performed any independent investigations or forensic audits to validate the information herein. The Reviewer has only independently reviewed the information provided by the Author according to the procedures outlined by AWS. AWS is not entitled to veto or interfere in the application of such procedures by the third-party research service company to the articles, documents or reports, as the case may be. Unless otherwise noted, any content outside of this document has no association with the Author or the Reviewer in any way. AWS, the Author, and the Reviewer are not responsible for any error which may be occasioned at the time of printing of this document or any error, mistake or shortcoming. No liability is accepted whatsoever for any direct, indirect or consequential loss arising from the use of this document. AWS, the Author, and the Reviewer expressly disclaim any fiduciary responsibility or liability for any consequences, financial or otherwise arising from any reliance placed on the information in this document. Additionally, AWS, the Author, and the Reviewer do not (1) guarantee the accuracy, timeliness, completeness or correct sequencing of the information, or (2) warrant any results from use of the information. The included information is subject to change without notice. This document is not intended as an offering, recommendation, or a solicitation of an offer to buy or sell the securities mentioned or discussed, and is to be used for informational purposes only. Please read all associated disclosures and disclaimers in full before investing. Neither AWS nor any party affiliated with us is a registered investment adviser or broker-dealer with any agency or in any jurisdiction whatsoever. To download our report(s), read our disclosures, or for more information, visit http://www.activewallst.com/disclaimer/. For any questions, inquiries, or comments reach out to us directly. If you're a company we are covering and wish to no longer feature on our coverage list contact us via email and/or phone between 09:30 EDT to 16:00 EDT from Monday to Friday at: CFA® and Chartered Financial Analyst® are registered trademarks owned by CFA Institute. LONDON, UK / ACCESSWIRE / December 13, 2016 / Active Wall St. blog coverage looks at the headline from Teledyne Technologies Inc. (NYSE: TDY). The Company announced and E2V technologies plc, jointly announced on December 12, 2016, that they have entered an agreement where E2V would be acquired by the US-based tech giant by means of a Scheme of Arrangement. Under the terms of the acquisition, Teledyne will shell out approximately £620 million (about $786 million) and E2V's shareholders will receive 275 pence cash for each E2V share they hold. Register with us now for your free membership and blog access at: http://www.activewallst.com/register/. One of Teledyne Technologies' competitors within the Scientific & Technical Instruments space, Keysight Technologies, Inc. (NYSE: KEYS), reported on November 17, 2016, its financial results for the fourth fiscal quarter and fiscal year ended Oct. 31, 2016. AWS will be initiating a research report on Keysight Technologies in the coming days. Today, AWS is promoting its blog coverage on TDY; touching on KEYS. Get all of our free blog coverage and more by clicking on the links below: Teledyne is primarily a B2B service provider, where it provides enabling technologies for industrial growth markets. Teledyne, which was once an aerospace and defense oriented firm, now serves multiple markets through its diversified offerings. Be it space exploration, deepwater oil and gas exploration and production, air and water quality environmental monitoring, or factory automation. E2V Technologies is one of the leading imaging sensor developers. Based in the UK, E2V is involved in several programs, such as Airbus A380, Boeing airplanes, numerous NASA and European Space Agency missions (for example, Hubble Space Telescope upgrade project), US defense projects, etc. E2V employs more than 1,750 people across its 9 engineering locations and 6 sales offices, located across Europe, America, and Asia. Teledyne has probably set itself on the road to be the leader in industrial technology provider segment. It acquired CARIS business, a Canada-based firm, on May 4, 2016, for an undisclosed amount. CARIS primarily dealt in developing geospatial software designed for hydrographic and marine engineering segments. On November 2, 2016, Teledyne announced the acquisition of assets of IN USA, Inc. IN USA develops gas sensors and monitors which are designed to use across several industrial process applications. The acquisition of E2V is yet another attempt to bring potential competitors under Teledyne's roof. The acquisition of E2V by Teledyne is a clear indication that the two ventures, which would probably cross paths in the near future, are set to work together, to develop relevant solutions. Teledyne speculates that the proprietary CMOS sensor design from E2V would help expand its strengths in camera and vision systems. In the space research segment, both Teledyne and E2V are leaders, where Teledyne provides infrared detectors, while E2V is limited to visible light sensors. This attribute is visible in almost every segment, where E2V provides its products. According to Robert Mehrabian, CEO and President of Teledyne: "We have followed E2V for more than a decade. Over time, as both Teledyne and E2V evolved, our businesses have become increasingly aligned. In fact, every business within E2V is highly complementary to Teledyne. As important, there is minimal product overlap." Teledyne has already received acceptances from about 45% of its shareholders, and the firm's board supports the acquisition. The transaction is expected to be completed in the first half of calendar 2017, where it is subject to regulatory approvals. On Monday December 12, 2016, Teledyne Technologies' shares were marginally down 0.79%, finishing the day at $126.39 with volume of 410.06 thousand shares exchanging hands by the close of the trading session. The stock advanced 7.80% in the last month, 21.75% in the past three months, and 27.23% in the previous six months. Furthermore, on a year to date basis, the stock soared 42.49%. Shares of the company have a PE ratio of 23.01 and currently have a market cap of $4.47 billion. Active Wall Street (AWS) produces regular sponsored and non-sponsored reports, articles, stock market blogs, and popular investment newsletters covering equities listed on NYSE and NASDAQ and micro-cap stocks. AWS has two distinct and independent departments. One department produces non-sponsored analyst certified content generally in the form of press releases, articles and reports covering equities listed on NYSE and NASDAQ and the other produces sponsored content (in most cases not reviewed by a registered analyst), which typically consists of compensated investment newsletters, articles and reports covering listed stocks and micro-caps. Such sponsored content is outside the scope of procedures detailed below. AWS has not been compensated; directly or indirectly; for producing or publishing this document. The non-sponsored content contained herein has been prepared by a writer (the "Author") and is fact checked and reviewed by a third party research service company (the "Reviewer") represented by a credentialed financial analyst, for further information on analyst credentials, please email info@activewallst.com. Rohit Tuli, a CFA® charterholder (the "Sponsor"), provides necessary guidance in preparing the document templates. The Reviewer has reviewed and revised the content, as necessary, based on publicly available information which is believed to be reliable. Content is researched, written and reviewed on a reasonable-effort basis. The Reviewer has not performed any independent investigations or forensic audits to validate the information herein. The Reviewer has only independently reviewed the information provided by the Author according to the procedures outlined by AWS. AWS is not entitled to veto or interfere in the application of such procedures by the third-party research service company to the articles, documents or reports, as the case may be. Unless otherwise noted, any content outside of this document has no association with the Author or the Reviewer in any way. AWS, the Author, and the Reviewer are not responsible for any error which may be occasioned at the time of printing of this document or any error, mistake or shortcoming. No liability is accepted whatsoever for any direct, indirect or consequential loss arising from the use of this document. AWS, the Author, and the Reviewer expressly disclaim any fiduciary responsibility or liability for any consequences, financial or otherwise arising from any reliance placed on the information in this document. Additionally, AWS, the Author, and the Reviewer do not (1) guarantee the accuracy, timeliness, completeness or correct sequencing of the information, or (2) warrant any results from use of the information. The included information is subject to change without notice. This document is not intended as an offering, recommendation, or a solicitation of an offer to buy or sell the securities mentioned or discussed, and is to be used for informational purposes only. Please read all associated disclosures and disclaimers in full before investing. Neither AWS nor any party affiliated with us is a registered investment adviser or broker-dealer with any agency or in any jurisdiction whatsoever. To download our report(s), read our disclosures, or for more information, visit http://www.activewallst.com/disclaimer/. For any questions, inquiries, or comments reach out to us directly. If you're a company we are covering and wish to no longer feature on our coverage list contact us via email and/or phone between 09:30 EDT to 16:00 EDT from Monday to Friday at: CFA® and Chartered Financial Analyst® are registered trademarks owned by CFA Institute.


Holland M.,CARIS | Hoggarth A.,CARIS | Nicholson J.,CARIS
IOP Conference Series: Earth and Environmental Science | Year: 2016

The quantity of information generated by survey sensors for ocean and coastal zone mapping has reached the "Big Data" age. This is influenced by the number of survey sensors available to conduct a survey, high data resolution, commercial availability, as well as an increased use of autonomous platforms. The number of users of sophisticated survey information is also growing with the increase in data volume. This is leading to a greater demand and broader use of the processed results, which includes marine archeology, disaster response, and many other applications. Data processing and exchange techniques are evolving to ensure this increased accuracy in acquired data meets the user demand, and leads to an improved understanding of the ocean environment. This includes the use of automated processing, models that maintain the best possible representation of varying resolution data to reduce duplication, as well as data plug-ins and interoperability standards. Through the adoption of interoperable standards, data can be exchanged between stakeholders and used many times in any GIS to support an even wider range of activities. The growing importance of Marine Spatial Data Infrastructure (MSDI) is also contributing to the increased access of marine information to support sustainable use of ocean and coastal environments. This paper offers an industry perspective on trends in hydrographic surveying and processing, and the increased use of marine spatial data.


Cove K.,CARIS | Hoggarth A.,CARIS
MTS/IEEE Seattle, OCEANS 2010 | Year: 2010

Many organizations involved in hydrography and oceanography hold large repositories of bathymetric data. Many of these organizations are migrating from legacy, often in-house built systems, to modern off-the-shelf GIS products. This has created the need to migrate the metadata as well as the bathymetric datasets themselves, if the data is to be discovered and used again in the future with confidence. The metadata can be held in various formats and will have varying levels of detail so it is essential that migration strategies, workflows and tools are developed to meet the needs of the organizations in question. This paper will describe some real world use cases that highlight the migration steps involved in moving legacy bathymetry and associated metadata to new software systems. Attention will also be given to how additional metadata can be added during the migration task, with a view to adding further value and knowledge to the bathymetry, which can facilitate subsequent analysis activities. With an increasing awareness in the oceans, bathymetric metadata is essential if there is a desire or need to share, view and utilize bathymetric information in an interoperable and appropriate way. ©2010 IEEE.


Astle H.,CARIS | Schwarzberg P.,CARIS
Marine Navigation and Safety of Sea Transportation: Advances in Marine Navigation | Year: 2013

The International Hydrographic Organization's (IHO [1]) Transfer Standard for Digital Hydrographic Data S-57 [2] standard has been in force for more than a decade, and has successfully been used for official ENCs adopted by Hydrographic Offices around the world and by navigation equipment manufacturers. Additionally S-57 has been used for many additional purposes. However S-57, and especially the administration of the standard, has also experienced limitations. In 2010, IHO released the next generation hydrographic standard called S-100 Universal Hydrographic Data Model [3]. A move that will open up the door to new possibilities to existing S-57 users and potentially broaden the use of IHO standards in the hydrographic community. This paper will try to explain why an S-57 replacement was needed and give examples on some possibilities with S-100 and its derived product specifications such as S-101. © 2013 Taylor & Francis Group.


Carballini J.,CARIS
GEO: connexion | Year: 2011

The Topography, Hydrography and Cartography Division of the Panama Canal Authority is in charge of surveying, processing and editing all the hydrographic and cartographic information used to produce the navigation charts of the canal. The adoption of international navigation standards in the waters of the canal would also lead to better maintenance and easier updating of the charts. The first stage of this project consisted of the production of two ENCs that covered the entirety of the Panama Canal. The adoption of international navigation standards in the waters of the canal would also lead to better maintenance and easier updating of the charts. Next, the Panama Canal Authority carried out a study of the available tools in the market, taking into account that the dedicated staff already had the required knowledge to carry out the project.


Hoggarth A.,CARIS | Carballini J.,CARIS
2013 IEEE/OES Acoustics in Underwater Geosciences Symposium, RIO Acoustics 2013 | Year: 2013

The offshore survey industry continues to develop and introduce new technologies. Significant advancements in a variety of technologies have led to the successful introduction of AUV's for a variety of surveying roles. However their impact on the ¿high end¿ pipeline inspection is not yet complete. Can AUV's become the standard acquisition platform for pipeline and other inspection surveys or are the challenges and obstacles that prevent the uptake and adoption of AUV technology simply too great? There are now component technologies that, when properly constructed, enable the use of AUV technology for many more survey and inspection related activities. This includes the collection, processing and management of the survey sensor data sets. AUV's are now capable of carrying such sensors as the latest high resolution multibeam sonars, synthetic aperture sonars, high definition cameras and acoustic doppler current profilers. With this array of available acoustic sensors we can expect AUV's to be used for an increasing number of pipeline inspection surveys and other hydrographic survey missions. This increased usage will likely require new data processing workflows and techniques, especially in consideration of the huge data volumes that will require processing once the vehicle returns to its parent ship and data is downloaded. This paper will explore these processing workflows and highlight the challenges and benefits with a view to addressing some key questions and promoting discussion on the future use of AUVs. © 2013 IEEE.

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