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News Article | July 10, 2017
Site: marketersmedia.com

TORONTO, ON / ACCESSWIRE / July 10, 2017 / Wi2Wi Corporation("Wi2Wi" or the "Company"), a leading global developer and manufacturer of end to end Wireless Connectivity Solutions, high precision Frequency Control, Timing, and Microwave Filter devices, is pleased to announce the FV series of Voltage Controlled Crystal Oscillators (VCXO), a further promising extension of its product portfolio. "This is our seventh, new best-in-class product, released this year. The FV series is a family of Surface Mount Voltage Controlled Crystal Oscillators (SMD VCXO) which provides the industry's best-in-class ultra-low jitter and power," said Michael Sonnenreich, Chairman of the Board. "The release of the FV series of Voltage Controlled Crystal Oscillators will significantly expand the market for our Crystal Oscillator family of products. The low-power and ultra-low jitter performance of the FV series, which do not compromise size and stability, are excellent building blocks for low jitter frequency translators and jitter attenuator applications in the premium markets. The new series will achieve superior performance for a wide range of applications across many markets, including communication and test equipment, avionics, space, medical and military equipment. Wi2Wi continues to expand its frequency control and timing device portfolios to better serve our client's most demanding technical requirements," said Zachariah Mathews, President and CEO of Wi2Wi. Specifics on the New Product Series: The FV series of Voltage Controlled Crystals Oscillators (VCXO) is based on Wi2Wi's proprietary programmable Phase-Locked Loop (PLL) Technology and gives the industry's best ultra-low power and ultra-low jitter and can withstand the most extreme environment without compromising its performance. The FV series VCXOs supports various output types such as LVPECL, LVDS, CML and LVCMOS and is available in two different supply voltages, 2.5v and 3.3v. Based on each customer's applications and requirements, the FV series VCXOs can be customized to any frequency from 10MHz to 1500 MHz for outputs LVPECL, LVDS, and CML, and the frequencies can be customized from 10MHz to 250MHz for LVCMOS outputs. With less than 600 Femtosecond Jitter performance (12 kHz to 20MHz) and less than 200mW power dissipation, the FV series of VCXOs is the industry's best-in-class in performance, functionality, and reliability. The FV Series SMD VCXOs come in various operating temperatures; Commercial, Industrial and full MIL temperature ranges; -55°C to +125°C and is available in three different surface mount (SMD) package footprints; FV3 (3.2mm x 2.5mm), FV5 (5.0mm x 3.2mm) and FV7 (5.0mm x 7.0mm) Samples and production units are readily available. Samples can available within 2-5 business days and volume production quantities are available in less than two weeks. For further information, please contact: Essentially, IoT and M2M describe the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. Driven by several factors including the growth in the availability of Broadband Internet, which reduces the cost of connecting, and the related increase in Wi-Fi capabilities as well as sensors built into myriad technologies, this has been described as the "perfect storm" for the IoT. Almost any device with an on and off switch that can be connected to the Internet (and/or to each other) - anything from cell phones, coffee makers, washing machines, headphones, lamps, wearable devices, cars, as well as machine components in the engine of a jet airplane or the drill of an oil rig. According to analyst firm Gartner, by 2020 there will be over 26 billion connected devices. Others think this figure could be too conservative by a factor of four. Wi2Wi is a vertically-integrated technology company which designs, manufactures and markets high-performance, low-power wireless connectivity solutions, global navigation satellite system (GNSS) modules, and frequency control devices. The Company's products and services address numerous applications in the markets of Internet of Things (IoT), Machine to Machine (M2M), Avionics, Space, and Government Sponsored Projects. Wi2Wi's products and value-added services provide highly integrated, rugged, robust, and reliable multiprotocol wireless actuators with embedded software, along with customized timing and frequency control devices for customers worldwide. The Company was founded in 2005 and is strategically headquartered in San Jose, California with satellite offices in Middleton, Wisconsin and Hyderabad, India. Wi2Wi's manufacturing operations, its laboratory for reliability and quality control, together with design and engineering for timing and frequency control devices are located in Middleton, WI. The branch office, located in Hyderabad, India, focuses on the development of wireless connectivity; both hardware and software. Wi2Wi's strategic objective is to service the unique needs of each customer by providing end to end wireless integration solutions and highly customizable timing and frequency control devices. Wi2Wi distinguishes itself from commodity grade products, with best in the market performance, highly reliable, low-power wireless connectivity products with integrated software that supports broader temperature ranges and a longer product life cycle. Furthermore, Wi2Wi's end to end product solutions helps the customer substantially reduce their end product expense, certification cost, and overall R&D investment, in addition to substantially reducing the time to market. Wi2Wi has partnered with best-in-class global leaders in technology, manufacturing, and sales. The Company uses a wide network of manufacturer's representatives worldwide to promote its products and services and has partnered with world class distributors for the fulfillment of orders along with direct sales. This news release contains certain forward-looking statements, including management's assessment of future plans and operations, and the timing thereof, that involve substantial known and unknown risks and uncertainties, certain of which are beyond the Company's control. Such risks and uncertainties include, without limitation, risks associated with the ability to access sufficient capital, the impact of general economic conditions in Canada, the United States and overseas, industry conditions, stock market volatility. The Company's actual results, performance or achievements could differ materially from those expressed in, or implied by, these forward-looking statements and, accordingly, no assurances can be given that any of the events anticipated by the forward-looking statements will transpire or occur, or if any of them do so, what benefits, including the amount of proceeds, that the Company will derive therefrom. Readers are cautioned that the foregoing list of factors is not exhaustive. Additional information on these and other factors that could affect the Company's operations and financial results are included in reports on file with Canadian securities regulatory authorities and may be accessed through the SEDAR website (www.sedar.com). Forward-looking statements are made based on management's beliefs, estimates and opinions on the date the statements are made and the Company undertakes no obligation to update forward-looking statements and if these beliefs, estimates, and opinions or other circumstances should change, except as required by applicable law. All subsequent forward-looking statements, whether written or oral, attributable to the Company or persons acting on its behalf are expressly qualified in their entirety by these cautionary statements. Furthermore, the forward-looking statements contained in this news release are made at the date of this news release and the Company does not undertake any obligation to update publicly or to revise any of the included forward-looking statements, whether as a result of new information, future events or otherwise, except as may be required by applicable securities laws. Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accept responsibility for the adequacy or accuracy of this release. TORONTO, ON / ACCESSWIRE / July 10, 2017 / Wi2Wi Corporation("Wi2Wi" or the "Company"), a leading global developer and manufacturer of end to end Wireless Connectivity Solutions, high precision Frequency Control, Timing, and Microwave Filter devices, is pleased to announce the FV series of Voltage Controlled Crystal Oscillators (VCXO), a further promising extension of its product portfolio. "This is our seventh, new best-in-class product, released this year. The FV series is a family of Surface Mount Voltage Controlled Crystal Oscillators (SMD VCXO) which provides the industry's best-in-class ultra-low jitter and power," said Michael Sonnenreich, Chairman of the Board. "The release of the FV series of Voltage Controlled Crystal Oscillators will significantly expand the market for our Crystal Oscillator family of products. The low-power and ultra-low jitter performance of the FV series, which do not compromise size and stability, are excellent building blocks for low jitter frequency translators and jitter attenuator applications in the premium markets. The new series will achieve superior performance for a wide range of applications across many markets, including communication and test equipment, avionics, space, medical and military equipment. Wi2Wi continues to expand its frequency control and timing device portfolios to better serve our client's most demanding technical requirements," said Zachariah Mathews, President and CEO of Wi2Wi. Specifics on the New Product Series: The FV series of Voltage Controlled Crystals Oscillators (VCXO) is based on Wi2Wi's proprietary programmable Phase-Locked Loop (PLL) Technology and gives the industry's best ultra-low power and ultra-low jitter and can withstand the most extreme environment without compromising its performance. The FV series VCXOs supports various output types such as LVPECL, LVDS, CML and LVCMOS and is available in two different supply voltages, 2.5v and 3.3v. Based on each customer's applications and requirements, the FV series VCXOs can be customized to any frequency from 10MHz to 1500 MHz for outputs LVPECL, LVDS, and CML, and the frequencies can be customized from 10MHz to 250MHz for LVCMOS outputs. With less than 600 Femtosecond Jitter performance (12 kHz to 20MHz) and less than 200mW power dissipation, the FV series of VCXOs is the industry's best-in-class in performance, functionality, and reliability. The FV Series SMD VCXOs come in various operating temperatures; Commercial, Industrial and full MIL temperature ranges; -55°C to +125°C and is available in three different surface mount (SMD) package footprints; FV3 (3.2mm x 2.5mm), FV5 (5.0mm x 3.2mm) and FV7 (5.0mm x 7.0mm) Samples and production units are readily available. Samples can available within 2-5 business days and volume production quantities are available in less than two weeks. For further information, please contact: Essentially, IoT and M2M describe the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. Driven by several factors including the growth in the availability of Broadband Internet, which reduces the cost of connecting, and the related increase in Wi-Fi capabilities as well as sensors built into myriad technologies, this has been described as the "perfect storm" for the IoT. Almost any device with an on and off switch that can be connected to the Internet (and/or to each other) - anything from cell phones, coffee makers, washing machines, headphones, lamps, wearable devices, cars, as well as machine components in the engine of a jet airplane or the drill of an oil rig. According to analyst firm Gartner, by 2020 there will be over 26 billion connected devices. Others think this figure could be too conservative by a factor of four. Wi2Wi is a vertically-integrated technology company which designs, manufactures and markets high-performance, low-power wireless connectivity solutions, global navigation satellite system (GNSS) modules, and frequency control devices. The Company's products and services address numerous applications in the markets of Internet of Things (IoT), Machine to Machine (M2M), Avionics, Space, and Government Sponsored Projects. Wi2Wi's products and value-added services provide highly integrated, rugged, robust, and reliable multiprotocol wireless actuators with embedded software, along with customized timing and frequency control devices for customers worldwide. The Company was founded in 2005 and is strategically headquartered in San Jose, California with satellite offices in Middleton, Wisconsin and Hyderabad, India. Wi2Wi's manufacturing operations, its laboratory for reliability and quality control, together with design and engineering for timing and frequency control devices are located in Middleton, WI. The branch office, located in Hyderabad, India, focuses on the development of wireless connectivity; both hardware and software. Wi2Wi's strategic objective is to service the unique needs of each customer by providing end to end wireless integration solutions and highly customizable timing and frequency control devices. Wi2Wi distinguishes itself from commodity grade products, with best in the market performance, highly reliable, low-power wireless connectivity products with integrated software that supports broader temperature ranges and a longer product life cycle. Furthermore, Wi2Wi's end to end product solutions helps the customer substantially reduce their end product expense, certification cost, and overall R&D investment, in addition to substantially reducing the time to market. Wi2Wi has partnered with best-in-class global leaders in technology, manufacturing, and sales. The Company uses a wide network of manufacturer's representatives worldwide to promote its products and services and has partnered with world class distributors for the fulfillment of orders along with direct sales. This news release contains certain forward-looking statements, including management's assessment of future plans and operations, and the timing thereof, that involve substantial known and unknown risks and uncertainties, certain of which are beyond the Company's control. Such risks and uncertainties include, without limitation, risks associated with the ability to access sufficient capital, the impact of general economic conditions in Canada, the United States and overseas, industry conditions, stock market volatility. The Company's actual results, performance or achievements could differ materially from those expressed in, or implied by, these forward-looking statements and, accordingly, no assurances can be given that any of the events anticipated by the forward-looking statements will transpire or occur, or if any of them do so, what benefits, including the amount of proceeds, that the Company will derive therefrom. Readers are cautioned that the foregoing list of factors is not exhaustive. Additional information on these and other factors that could affect the Company's operations and financial results are included in reports on file with Canadian securities regulatory authorities and may be accessed through the SEDAR website (www.sedar.com). Forward-looking statements are made based on management's beliefs, estimates and opinions on the date the statements are made and the Company undertakes no obligation to update forward-looking statements and if these beliefs, estimates, and opinions or other circumstances should change, except as required by applicable law. All subsequent forward-looking statements, whether written or oral, attributable to the Company or persons acting on its behalf are expressly qualified in their entirety by these cautionary statements. Furthermore, the forward-looking statements contained in this news release are made at the date of this news release and the Company does not undertake any obligation to update publicly or to revise any of the included forward-looking statements, whether as a result of new information, future events or otherwise, except as may be required by applicable securities laws. Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accept responsibility for the adequacy or accuracy of this release.


News Article | February 27, 2017
Site: www.eurekalert.org

(PRINCETON, N.J., Feb. 27, 2017) - Bristol-Myers Squibb Company (NYSE:BMY) today announced that Columbia University Medical Center and Peter MacCallum Cancer Centre (Peter Mac) have joined the International Immuno-Oncology Network (II-ON), a global peer-to-peer collaboration between Bristol-Myers Squibb and academia that aims to advance Immuno-Oncology (I-O) science and translational medicine to improve patient outcomes. Launched in 2012 by Bristol-Myers Squibb, the II-ON was one of the first networks to bring academia and industry together to further the scientific understanding of I-O, and has expanded from 10 to 15 sites including more than 250 investigators working on over 150 projects across 20 tumor types. The II-ON has generated cutting-edge I-O data that have informed the development of new I-O agents, yielded publications and produced some of the earliest findings on a variety of biomarkers and target identification and validation. "Bristol-Myers Squibb has long believed the future of cancer research is dependent on investments in science and partnerships. We formed the II-ON to facilitate innovation in I-O science and drug discovery by providing a streamlined framework for peer-to-peer collaboration among global cancer research leaders," said Nils Lonberg, Head of Oncology Biology Discovery at Bristol-Myers Squibb. "The significant discoveries generated by the II-ON over the past five years have not only informed our robust early I-O pipeline, but also serve to advance the entire field. We are proud to collaborate with Columbia University Medical Center and Peter Mac, and together with the entire II-ON will continue to lead pioneering research and heighten our collective understanding of the science behind I-O." Through the II-ON, Bristol-Myers Squibb is collaborating with leading cancer research institutions around the world to generate innovative I-O science, launch biology-driven trials and seek out cutting-edge technologies with the goal of translating research findings into clinical trials and, ultimately, clinical practice. "I-O research may be transforming the way we treat cancer," said Charles G. Drake, MD, PhD, Professor of Medicine at Columbia University Medical Center and Director of Genitourinary Oncology and Associate Director for Clinical Research at the Herbert Irving Comprehensive Cancer Center at New York-Presbyterian/Columbia. "The II-ON offers a tremendous opportunity to work smarter and faster along with our colleagues to address fundamental scientific questions in I-O." "We believe the collective knowledge and research power of the II-ON will generate groundbreaking findings in I-O with the potential to improve outcomes for people affected by cancer," said Professor Joe Trapani, Executive Director Cancer Research and Head of the Cancer Immunology Program at Peter MacCallum Cancer Centre, Melbourne, Australia. Building on the success of the II-ON, Bristol-Myers Squibb has invested in several other models of scientific collaboration with academic partners across the globe, including the Global Expert Centers Initiative (GECI) and the Immuno-Oncology Integrated Community Oncology Network (IO-ICON). "We believe a one-size-fits-all research approach does not facilitate innovation," said Lonberg. "Our tailored collaborations with academic centers expand our research capabilities and accelerate our collective ability to deliver potentially life-changing results for patients." The II-ON, formed in 2012, is a global peer-to-peer collaboration between Bristol-Myers Squibb and academia advancing the science of Immuno-Oncology (I-O) through a series of preclinical, translational and biology-focused research objectives. The research in the collaboration is focused on three fundamental scientific pillars: understanding the mechanisms of resistance to immunotherapy; identifying patient populations likely to benefit from immunotherapy; and exploring novel combination therapies that may enhance anti-tumor response through complementary mechanisms of action. The II-ON facilitates the translation of scientific research findings into drug discovery and development, with the goal of introducing new treatment options into clinical practice. In addition to Bristol-Myers Squibb, the II-ON currently comprises 15 leading cancer research institutions, including: Clinica Universidad Navarra, Dana-Farber Cancer Institute, The Earle A. Chiles Research Institute (Providence Health & Services), Institut Gustave Roussy, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", Bloomberg-Kimmel Institute for Cancer Immunotherapy at the Johns Hopkins Kimmel Cancer Center, Memorial Sloan Kettering Cancer Center, National Cancer Center Japan, The Netherlands Cancer Institute, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, University College London, The University of Chicago, West German Cancer Center/University Hospital Essen, and now Columbia University Medical Center and Peter MacCallum Cancer Centre. Bristol-Myers Squibb: At the Forefront of Immuno-Oncology Science & Innovation At Bristol-Myers Squibb, patients are at the center of everything we do. Our vision for the future of cancer care is focused on researching and developing transformational Immuno-Oncology (I-O) medicines that will raise survival expectations in hard-to-treat cancers and will change the way patients live with cancer. We are leading the scientific understanding of I-O through our extensive portfolio of investigational and approved agents - including the first combination of two I-O agents in metastatic melanoma - and our differentiated clinical development program, which is studying broad patient populations across more than 20 types of cancers with 12 clinical-stage molecules designed to target different immune system pathways. Our deep expertise and innovative clinical trial designs uniquely position us to advance the science of combinations across multiple tumors and potentially deliver the next wave of I-O combination regimens with a sense of urgency. We also continue to pioneer research that will help facilitate a deeper understanding of the role of immune biomarkers and inform which patients will benefit most from I-O therapies. We understand making the promise of I-O a reality for the many patients who may benefit from these therapies requires not only innovation on our part, but also close collaboration with leading experts in the field. Our partnerships with academia, government, advocacy and biotech companies support our collective goal of providing new treatment options to advance the standards of clinical practice. Bristol-Myers Squibb is a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases. For more information about Bristol-Myers Squibb, visit us at BMS.com or follow us on LinkedIn, Twitter, YouTube and Facebook. This press release contains "forward-looking statements" as that term is defined in the Private Securities Litigation Reform Act of 1995 regarding the research, development and commercialization of pharmaceutical products. Such forward-looking statements are based on current expectations and involve inherent risks and uncertainties, including factors that could delay, divert or change any of them, and could cause actual outcomes and results to differ materially from current expectations. No forward-looking statement can be guaranteed. Forward-looking statements in this press release should be evaluated together with the many uncertainties that affect Bristol-Myers Squibb's business, particularly those identified in the cautionary factors discussion in Bristol-Myers Squibb's Annual Report on Form 10-K for the year ended December 31, 2016 in our Quarterly Reports on Form 10-Q and our Current Reports on Form 8-K. Bristol-Myers Squibb undertakes no obligation to publicly update any forward-looking statement, whether as a result of new information, future events or otherwise.


News Article | June 28, 2017
Site: www.prweb.com

Io-Tahoe LLC today announced that its Rokitt Astra technology has been selected by Gartner as a “Cool Vendor” in data management. Gartner’s Cool Vendors in Data Management, 2017 report identifies four vendors that focus on solving the “efficient access to data” problem and have embraced different approaches to connecting and collecting data. “Digital business is driving innovation in data management through effective access to and processing of data. Unified data access, multimodel DBMS approaches, metadata management techniques and real-time data integration top the list of innovations for CIOs and data and analytics leaders,” said Ehtisham Zaidi, senior research analyst at Gartner, Roxane Edjlali, research director at Gartner, Ted Friedman, research vice president and distinguished analyst at Gartner, Mark A. Beyer, research vice president and distinguished analyst at Gartner, Adam M. Ronthal, research director at Gartner, Guido De Simoni, research director at Gartner, Merv Adrian, lead analyst at Gartner and Svetlana Sicular, analyst at Gartner. “CIOs and data and analytics leaders, including CDOs, with responsibility for modernizing information infrastructure should identify solutions that explicitly separate the storage of data and the processing of that data; these can streamline data access challenges, provide flexibility and optimize costs.” Why we think Rokitt Astra is Cool Rokitt Astra is a smart data discovery system that utilizes machine-learning to understand data relationships. Its unique visualization technology allows organizations to discover, understand and leverage their data. “For us, to be named a Cool Vendor by Gartner is a significant achievement and recognition of Rokitt Astra’s innovation,” said Oksana Sokolovsky, Io-Tahoe’s CEO. “We feel this reaffirms our unique offering, and the hard work and dedication that has been put into our easy-to-use, intuitive, data discovery solution. This and the recent acquisition by Io-Tahoe LLC sets a positive course for us, as we continue to work with our clients to find new data insights.” The combination of Rokitt Astra with Io-Tahoe® creates an enterprise-wide smart data management and discovery offering, enabling users to collect, manage and analyze structured data to increase efficiencies, discover new relationships and improve data governance & analytics. Who we think should care? Enterprises undertaking or currently involved with complex data migrations, modernization of their information infrastructure; or those in need of support with data discovery should consider Rokitt Astra because it enables companies to better understand how their data moves, grows and changes through the enterprise. The Cool Vendor in Data Management, 2017 report can be viewed here. Io-Tahoe® is a registered trademark of Centrica plc. Rokitt Astra™ is a trademark of Io-Tahoe LLC. Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Io-Tahoe Io-Tahoe LLC is a wholly owned subsidiary of Centrica plc. The subsidiary acquired Rokitt Astra’s technology in May 2017. Io-Tahoe is a big data management solution company with expertise in data science, analytics and systems architecture. The technology comprises four smart solutions: Rokitt Astra, Data Tap, Fingerprinting and Concierge. For more information visit: http://www.io-tahoe.com About Rokitt Astra Rokitt Astra automatically discovers and self-learns data relationships with up to 90%+ accuracy to help organizations quickly and accurately baseline the enterprise data landscape. Rokitt Astra utilizes machine learning to uncover hidden data relationships while providing a powerful visualization technology to empower organizations to understand and leverage data across several areas of the business. Additional information is available at http://www.rokittastra.com.


News Article | June 28, 2017
Site: www.prweb.com

Io-Tahoe LLC today announced that its Rokitt Astra technology has been selected by Gartner as a “Cool Vendor” in data management. Gartner’s Cool Vendors in Data Management, 2017 report identifies four vendors that focus on solving the “efficient access to data” problem and have embraced different approaches to connecting and collecting data. “Digital business is driving innovation in data management through effective access to and processing of data. Unified data access, multimodel DBMS approaches, metadata management techniques and real-time data integration top the list of innovations for CIOs and data and analytics leaders,” said Ehtisham Zaidi, senior research analyst at Gartner, Roxane Edjlali, research director at Gartner, Ted Friedman, research vice president and distinguished analyst at Gartner, Mark A. Beyer, research vice president and distinguished analyst at Gartner, Adam M. Ronthal, research director at Gartner, Guido De Simoni, research director at Gartner, Merv Adrian, lead analyst at Gartner and Svetlana Sicular, analyst at Gartner. “CIOs and data and analytics leaders, including CDOs, with responsibility for modernizing information infrastructure should identify solutions that explicitly separate the storage of data and the processing of that data; these can streamline data access challenges, provide flexibility and optimize costs.” Why we think Rokitt Astra is Cool Rokitt Astra is a smart data discovery system that utilizes machine-learning to understand data relationships. Its unique visualization technology allows organizations to discover, understand and leverage their data. “For us, to be named a Cool Vendor by Gartner is a significant achievement and recognition of Rokitt Astra’s innovation,” said Oksana Sokolovsky, Io-Tahoe’s CEO. “We feel this reaffirms our unique offering, and the hard work and dedication that has been put into our easy-to-use, intuitive, data discovery solution. This and the recent acquisition by Io-Tahoe LLC sets a positive course for us, as we continue to work with our clients to find new data insights.” The combination of Rokitt Astra with Io-Tahoe® creates an enterprise-wide smart data management and discovery offering, enabling users to collect, manage and analyze structured data to increase efficiencies, discover new relationships and improve data governance & analytics. Who we think should care? Enterprises undertaking or currently involved with complex data migrations, modernization of their information infrastructure; or those in need of support with data discovery should consider Rokitt Astra because it enables companies to better understand how their data moves, grows and changes through the enterprise. The Cool Vendor in Data Management, 2017 report can be viewed here. Io-Tahoe® is a registered trademark of Centrica plc. Rokitt Astra™ is a trademark of Io-Tahoe LLC. Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Io-Tahoe Io-Tahoe LLC is a wholly owned subsidiary of Centrica plc. The subsidiary acquired Rokitt Astra’s technology in May 2017. Io-Tahoe is a big data management solution company with expertise in data science, analytics and systems architecture. The technology comprises four smart solutions: Rokitt Astra, Data Tap, Fingerprinting and Concierge. For more information visit: http://www.io-tahoe.com About Rokitt Astra Rokitt Astra automatically discovers and self-learns data relationships with up to 90%+ accuracy to help organizations quickly and accurately baseline the enterprise data landscape. Rokitt Astra utilizes machine learning to uncover hidden data relationships while providing a powerful visualization technology to empower organizations to understand and leverage data across several areas of the business. Additional information is available at http://www.rokittastra.com.


News Article | January 17, 2017
Site: www.techtimes.com

The Raspberry Pi Foundation has launched the Compute Module 3, the successor to the original Compute Module that was released in 2014. While the first Compute Module was based on the original Raspberry Pi and its Broadcom BCM2835 processor, the Compute Module 3 is based on Raspberry Pi 3 hardware, hence the name despite being only the second version. The Compute Model 3, as described in the official blog post announcing its launch, offers twice the RAM and 10 times the CPU performance compared to the capabilities of the original Compute Module. As it is based on the Raspberry Pi 3, the Compute Model 3, with a price tag of $30, comes with the same four-core, 64-bit Broadcom BCM2837 processor with 1 GB of RAM and 4 GB of flash storage. However, the Compute Module 3 is less than half the size of the Raspberry Pi 3 and does not come with sockets for the Ethernet, SD card, USB, and display. In addition, it does not support Wi-Fi. In addition to the Compute Module 3, the Raspberry Pi Foundation has also released the Compute Module 3 Lite, which features the same specs as the Compute Module 3 but without the 4 GB of flash storage, though an SD card socket or eMMC device can be added to the base board. The Compute Module 3 Lite is sold for $25. The Raspberry Pi Foundation has also released the Compute Module IO Board V3, a circuit board with USB and HDMI connectors, along with a SODIMM socket that is needed to work with the Compute Module 3. The board is under an open license and revised to work properly with the Compute Module 3. The Compute Module 3 is cheaper and smaller, but also much more powerful compared to the first version. However, the Raspberry Pi Foundation is not expecting the Compute Module 3 to start flying off the shelves, with its creator Eben Upton predicting that it will instead be like a "slow burn" compared to the popularity of the Raspberry Pi 3, released last year. This is because the Compute Module 3 is not designed for use at home or in school. Instead, the Compute Module 3 was created with industrial applications in mind, and those who would like to use it would first have to design products that will have a circuit board slot to insert the Compute Module 3 into. The signals for the missing ports of the Compute Module 3 can be found on an edge connector which fits into the SODIMM socket, which is usually for laptop memory upgrades. This will allow industrial product designers to choose the ports that they want to have exposed, and the functions that they want to include. With these characteristics, the Compute Module 3 can be used for a wide variety of applications such as industrial machinery, equipment, and even robots. For those who are looking to use the Raspberry Pi 3 outside of industrial applications, here are seven of the coolest projects from last year. We have also previously published a guide on installing the Kodi media player on the Raspberry Pi 3. © 2017 Tech Times, All rights reserved. Do not reproduce without permission.


In addition to the ground-based observations described in ref. 1, this work was based on 1,333 hours of new observations gathered from the ground with the 60-cm telescopes TRAPPIST-South (469 h) and TRAPPIST-North (202 h), the 8-m Very Large Telescope (3 h), the 4.2-m William Herschel Telescope (26 h), the 4-m UKIRT (25 h), the 2-m Liverpool Telescope (50 h), and the 1-m SAAO telescope (11 h), and from space with Spitzer (518 h). The new observations of the star gathered by the TRAPPIST-South1, 31, 32 60-cm telescope (La Silla Observatory, Chile) occurred on the nights of 29 December 2015 to 31 December 2015, and from 30 April 2016 to 11 October 2016. The observational strategy used was the same as that described in ref. 1 for previous TRAPPIST-South observations of the star. TRAPPIST-North33 is a new 60-cm robotic telescope installed in spring 2016 at Oukaïmeden Observatory in Morocco. It forms an instrumental project led by the University of Liège, in collaboration with the Cadi Ayyad University of Marrakesh, and is, like its southern twin TRAPPIST-South, totally dedicated to observations of exoplanet transits and small bodies of the Solar System. TRAPPIST-North observations of TRAPPIST-1 were performed from 1 June 2016 to 12 October 2016. Each run of observations consisted of 50-s exposures obtained with a thermoelectrically cooled 2k × 2k deep-depletion charge-coupled-device (CCD) camera (field of view of 19.8′ × 19.8′; image scale of 0.61″ per pixel). The observations used the same ‘I+z’ filter as for most of the TRAPPIST-South observations1. The new VLT/HAWK-I34 (Paranal Observatory, Chile) observations that revealed a triple transit of planets c, e and f (see main text and Extended Data Fig. 1) were performed during the night of 10 December 2015 to 11 December 2015, with the observational strategy described in ref. 1 (NB2090 filter), except that each exposure was composed of 18 integrations of 2 s. The 4-m telescope UKIRT (Mauna Kea, Hawaii) and its Wide-Field Camera (WFCAM), an infrared camera35, observed the star on 24 June, 16, 18, 29 and 30 July, and 1 August 2016. Here, too, the observational strategy was the same as used as in previous observations of the star1 (J filter; exposures of five integrations of 1 s). The 4.2-m William Herschel Telescope (La Palma, Canary Islands) observed the star for three nights in a row from 23 August 2016 to 25 August 2016 with its optical 2k × 4k auxiliary-port camera (ACAM)36, which has an illuminated circular field of view of diameter 8′ and an image scale of 0.25″ per pixel. The observations were performed in the Bessel I filter with exposure times of between 15 s and 23 s. Ten runs of observation of TRAPPIST-1 were performed by the robotic 2-m Liverpool Telescope between June and October 2016. These observations were obtained through a Sloan-z filter with the 4k × 4k IO:O CCD camera37 (field of view 10′ × 10′). A 2 × 2 binning scheme resulted in an image scale of 0.30″ per pixel. An exposure time of 20 s was used for all images. The 1-m telescope at the South African Astronomical Observatory (SAAO, Sutherland, South Africa) observed the star on the nights of 18 to 19 June 2016, 21 to 22 June 2016, and 2 to 3 July 2016. The observations consisted of 55-s exposures taken by the 1k × 1k Sutherland high-speed optical (SHOC) CCD camera38 (field of view 2.85′ × 2.85′) using a Sloan z filter and with a 4 × 4 binning, resulting in an image scale of 0.67″ per pixel. For all ground-based data, a standard pre-reduction (involving bias, dark, flat-field correction) was applied, and then the stellar fluxes were measured from the calibrated images using DAOPHOT aperture photometry software39. In a final stage, a selection of stable comparison stars was manually performed in order to obtain the most accurate differential photometry possible for TRAPPIST-1. The Spitzer Space Telescope observed TRAPPIST-1 using its Infrared Array Camera (IRAC) detector40 for 5.7 h on 21 February 2016, for 6.5 h on 3, 4, 7, 13, 15 and 18 March 2016, and continuously from 19 September 2016 to 10 October 2016. All of these observations were made at 4.5 μm in subarray mode (32 × 32 pixel windowing of the detector) with an exposure time of 1.92 s. The observations were made without dithering and in the pointing calibration and reference sensor (PCRS) peak-up mode41, which maximizes the accuracy in the position of the target on the detector so as to minimize the so-called pixel phase effect of IRAC indium antinomide arrays42. All of the Spitzer data were calibrated with the Spitzer pipeline S19.2.0, and delivered as cubes of 64 subarray images. Our photometric extraction was identical to that described in ref. 43. We used DAOPHOT to measure the fluxes by aperture photometry, and combined the measurements per cube of 64 images. The photometric errors were taken as the errors on the average flux measurements for each cube. The observations used here are summarized in Extended Data Table 1. The total photometric dataset—including the data in ref. 1—consists of 81,493 photometric measurements spread over 351 light curves. We converted each universal time (ut) of mid-exposure to the BJD time system44. We then performed an individual model selection for each light curve; tested a large range of models composed of a baseline model representing the flux variations correlated to variations of external parameters (for example, point-spread function size or position on the chip, time or airmass) as low-order (0 to 4) polynomial functions; and eventually added to this baseline model a transit model45 and/or a flare model (instantaneous flux increase followed by an exponential decrease) if a structure consistent in shape with these astrophysical signals was visible in the light curve (two flares were captured by Spitzer during its 20-day-monitoring campaign; see Fig. 1). The final model of each light curve was selected by minimization of the Bayesian information criterion (BIC)46. For all of the Spitzer light curves, we needed to include a linear or quadratic function of the x- and y-positions of the point-spread function (PSF) centre (as measured in the images by the fit of a two-dimensional gaussian profile) in the baseline model to account for the pixel phase effect42, 43, complemented in some light curves by a linear or quadratic function of the measured widths of the PSF in the x- and/or y-directions43. For each light curve presenting a transit-like structure whose existence was favoured by the BIC, we explored the posterior probability distribution function (PDF) of its parameters (width, depth, impact parameter and mid-transit timing) with an adaptive MCMC code1, 9. For the transits originating from the firmly confirmed planets b and c, we fixed the orbital period to the values in ref. 1. For the other transit-like structures, the orbital period was also a free parameter. As in ref. 1, we assumed circular orbits for the planets, and we assumed the normal distributions N(0.04, 0.082) dex, N(2,555, 852) K, N(0.082, 0.0112)M , and N(0.114, 0.0062)R as prior PDFs for the stellar metallicity, effective temperature, mass, and radius, respectively, on the basis of a priori knowledge of the stellar properties1, 47. We assumed a quadratic limb-darkening law for the star48, with coefficients interpolated for TRAPPIST-1 from the tables of ref. 49. Details of the MCMC analysis of each light curve are as in ref. 1. We used the resulting values for the timings of the transits to identify planetary candidates, by searching for periodicities and consistency between the derived transit shape parameters. Owing to the high precision and near-continuous nature of the photometry acquired by Spitzer in September and October 2016, this process allowed us to firmly identify the four new planets, d, e, f and g, with periods of 4.1 days, 6.1 days, 9.2 days and 12.3 days respectively (Extended Data Figs 2, 3). We then measured updated values for their transit timings through new MCMC analyses of their transit light curves, for which the orbital periods were fixed to the determined values. For the six planets b, c, d, e, f and g, we then performed a linear regression analysis of the measured transit timings, T , as a function of their epochs, E , to derive a transit ephemeris T  = T ( ± σT ) + E  × P ( ± σP), with T being the timing of a reference transit for which the epoch is arbitrarily set to 0, P being the orbital period, and σT and σP being their errors as deduced from the co-variance matrix (Table 1). For all planets, the residuals of the fit showed some significant deviation, indicating TTVs, which is unsurprising given the compactness of the system and the near-resonant chain formed by the six inner planets (see below). For a transit-like signal observed by Spitzer at BJD ~2,457,662.55 (Fig. 1), the significance of the detection (>10σ) was large enough to allow us to conclude that a seventh, outermost planet exists as well. This conclusion is based not only on the high significance of the signal and the consistency of its shape with one expected for a planetary transit, but also on the photometric stability of the star at 4.5 μm (outside of the frequent transits and the rare— about one per week—flares) as revealed by Spitzer (Fig. 1). In a final stage, we performed the global MCMC analysis of the 35 transits observed by Spitzer that is described in the main text. It consisted of two chains of 100,000 steps, whose convergence was successfully checked using the statistical test of ref. 50. The parameters derived from this analysis for the star and its planets are shown in Table 1. We used the TTV method10, 11 to estimate the masses of the TRAPPIST-1 planets. The continuous exchange of angular momentum between gravitationally interacting planets causes them to accelerate and decelerate along their orbits, making their transit times occur early or late compared with a Keplerian orbit14. All six inner TRAPPIST-1 planets exhibit transit timing variations owing to perturbations from their closest neighbours (Extended Data Fig. 4). The TTV signal for each planet is dominated primarily by interactions with adjacent planets, and these signals have the potential to be particularly large because each planet is near a mean motion resonance with its neighbours. As calculated from the present data, the TTV amplitudes range in magnitude from 2 min to more than 30 min. However, the distance of these pairs to exact resonances controls the amplitude and the period of the TTV signals and is not precisely pinned down by the present dataset. Moreover, the relatively short timeframe during which the transits have been monitored prevents an efficient sampling of the TTV oscillation frequencies for the different pairs of planets, defined by f(TTV) = n /P  − n /P , where P is the orbital period, n the mean motion, and i and j the planet indices10. We modelled TTVs using both numerical integrations (TTVFast51 and Mercury52) and analytical integrations (TTVFaster53) of a system of six gravitationally interacting, co-planar planets. TTVFaster is based on analytical approximations of TTVs derived using perturbation theory and includes all terms at first order in eccentricity. Furthermore, it includes only those perturbations to a planet from adjacent planets. To account for the 8/5 and 5/3 near-resonances in the system, we also included the dominant terms for these resonances, which appear at second and third order in the eccentricities. We determined these higher-order terms using the results of ref. 54. TTVFaster has the advantage that it is much faster to compute compared with n-body integrations. It is applicable for this system given the low eccentricities determined via TTV analysis (determined independently with n-body integrations and self-consistently with TTVFaster). We used two different minimization techniques: Levenberg–Marquardt55 and Nelder–Mead56. For the purpose of analysis, we used the 98 independent transit times for all six planets and 5 free parameters per planet (mass, orbital period, transit epoch and eccentricity vectors ecosω and esinω, with e being the eccentricity and ω the argument of periastron). We elected not to include the seventh planet, h, in the fit, because only a single transit has been observed and there is not yet an indication of detectable interactions with any of the inner planets. Likewise, we did not detect any perturbation that would require the inclusion of an additional, undetected non-transiting planet in the dynamical fit. The six-planet model provided a good fit to the existing data (Extended Data Fig. 4), and we found no compelling evidence for extending the present model complexity given the existing data. Our three independent analyses of the same set of transit timings revealed multiple, mildly inconsistent, solutions that fit the data equally well provided that non-circular orbits are allowed in the fit. It is likely that this solution degeneracy originates from the high dimensionality of the parameter space, combined with the limited constraints brought by the present dataset. The best-fit solution that we found—computed with Mercury52—has a chi-squared of 92 for 68 degrees of freedom, but involves non-negligible eccentricities (0.03 to 0.05) for all planets, probably jeopardizing the long-term stability of the system. In this context, we decided to present conservative estimates of the planets’ masses and upper limits for the eccentricities without favouring one of the three independent analyses. For each parameter, we considered as the 1σ lower/upper limits the smallest/largest values of the 1σ lower/upper limits of the three posterior PDFs, and the average of the two computed limits as the most representative value. The values and error bars computed for the planets’ masses and the 2σ upper limits for their orbital eccentricities are given in Table 1. Additional precise transit timings for all seven planets will be key in constraining further the planet masses and eccentricities and in isolating a unique, well defined, dynamical solution. We investigated the long-term evolution of the TRAPPIST-1 system using two n-body integration packages: Mercury52 and WHFAST57. We started from the orbital solution produced in Table 1, and integrated over 0.5 million years (Myr). This corresponds to roughly 100 million orbits for planet b. We repeated this procedure by sampling a number of solutions within the 1σ intervals of confidence. Most integrations resulted in the disruption of the system on a 0.5-Myr timescale. We then decided to use a statistical method that yields the probability of a system being stable for a given period of time, based on the planets’ mutual separations58. Using the masses and semi-major axes in Table 1, we calculated the separations between all adjacent pairs of planets in units of their mutual Hill spheres58. We found an average separation of 10.5 ± 1.9 (excluding planet h), where the uncertainty is the r.m.s. of the six mutual separations. We computed that TRAPPIST-1 has a 25% chance of suffering an instability over 1 Myr, and an 8.1% chance of surviving for 1 billion years (Gyr), in line with our n-body integrations. These results, obtained by two different methods, suggest that the TRAPPIST-1 system could be unstable over relatively short timescales. However, they do not take into account the proximity of the planets to their host star and the resulting strong tidal effects that might act to stabilize the system. We included tidal effects in an ameliorated version of the Mercury package59, 60, and found that they markedly enhance the system’s stability. However, the disruption is only postponed by tides in most simulations, and further investigations are needed in order to better understand the dynamics of the system. In general, the stability of the system appears to be very dependent on the assumptions of the orbital parameters and masses of the planets, and on the inclusion or exclusion of planet h and on its assumed orbital period and mass. It is also possible that other, still undetected, planets help to stabilize the system. The masses and exact eccentricities of the planets remain uncertain, and our results make it likely that only a very small number of orbital configurations lead to stable configurations. For instance, mean motion resonances can protect planetary systems over long timescales61. The system clearly exists, and it is unlikely that we are observing it just before its catastrophic disruption, so it is probably stable over a long timescale. These facts and the results of our dynamical simulations indicate that, given enough data, the very existence of the system should bring strong constraints on its components’ properties—their masses, orbital elements and tidal dissipation efficiencies, which are dependent on the planets’ compositions, mutual tidal effects of the planets, mutual inclinations, the orbit of planet h, the existence of other, maybe not transiting planets, and so on. The conversion of the ut times of the photometric measurements to the BJD system was performed using the online program created by J. Eastman and distributed at http://astroutils.astronomy.ohio-state.edu/time/utc2bjd.html. The MCMC software used to analyse the photometric data is a custom Fortran 90 code that can be obtained from M.G. on reasonable request. The n-body integration codes TTVFast, TTVFaster, and Mercury are freely available online at https://github.com/kdeck/TTVFast, https://github.com/ericagol/TTVFaster, and https://github.com/smirik/mercury. To realize Fig. 2a, we relied on TEPCAT, an online catalogue of transiting planets maintained by J. Southworth (http://www.astro.keele.ac.uk/jkt/tepcat/). The Spitzer data that support our findings are available from the Spitzer Heritage Archive database (http://sha.ipac.caltech.edu/applications/Spitzer/SHA). Source Data for Fig. 1 and Extended Data Figs 1, 2, 3, 4 are available online. The other datasets generated and/or analysed during the present study are available from M.G. on reasonable request.


News Article | February 15, 2017
Site: www.prweb.com

Innovative Integration, a Molex Company and trusted supplier of signal processing and data acquisition hardware and signal processing solutions, today announced the COPious-PXIe. The 8HP PXIe -compatible plug-in card employs the powerful Xilinx Z7045 (Zynq) system-on-chip processor which provides dual, floating-point, ARM A9 CPUs and a large user-programmable FPGA fabric. COPious-PXIe incorporates a high pin-count VITA 57.1 -compliant FMC module site, compatible with Innovative’s broad range of FMC modules and tools. FMC peripherals are directly controlled by the on-board FPGA fabric, enabling deep integration of sophisticated, user-customized digital signal processing algorithms. Consequently, real-time, DSP and mixed-signal applications such as software-defined radio, RADAR, LIDAR, optical control and other demanding applications may be efficiently addressed, even in conjunction with conventional PXIe system controllers running non-real-time operating systems such as Windows or Linux. “This powerful single-board computer/adapter adds a rich portfolio of cutting edge DAQ FMC modules and tools into the PXIe eco-system. Customers can implement custom control, communications and analytical algorithms within the Zynq’s copious, on-chip FPGA fabric to perform real-time signal processing of signals with up to 500 MHz of instantaneous bandwidth” said Jim Henderson, President of Innovative Integration. COPious-PXIe runs bare-metal C/C++ applications in core 1 and the PetaLinux core/applications core 0 and, providing zero-overheat interrupt processing and real-time code execution in conjunction with high-level Ethernet, USB and disk connectivity – the best of both worlds. PetaLinux boots rapidly from an on-board eMMC flash drive, providing bullet-proof autonomous operation and fast local storage. It’s rugged, flexible and ready for immediate deployment into your next Test & Measurement or embedded application. The product can be readily tailored to a variety of markets including embedded instrumentation, remote, autonomous IO, mobile instrumentation, and distributed data acquisition. About Innovative Integration – a Molex company Innovative Integration is a data acquisition company that designs embedded boards, for digital signal processing, software defined radio and data acquisition with digital & analog interfaces which incorporates re-configurable FPGA products available in the XMC, FMC, PCIe, VPX and PXIe form-factors. About Molex, LLC Molex brings together innovation and technology to deliver electronic solutions to customers worldwide. With a presence in more than 40 countries, Molex offers a full suite of solutions and services for many markets, including data communications, consumer electronics, industrial, automotive, commercial vehicle and medical. For more information, please visit http://www.molex.com


News Article | February 24, 2017
Site: www.prweb.com

Balluff Inc. is pleased to announce the industry's first and unique functional safety solution that combines PROFIsafe, an industry standard safety communication protocol, with IO-Link, a standard communication technology for sensors and actuators. As a part of this solution portfolio, Balluff is introducing an IO-Link safety I/O hub enabled for PROFIsafe and a host of safety field devices including an e-stop pushbutton, interlocking door/gate switches, and light curtains. When used in conjunction with a PROFIsafe controller, the PROFIsafe IO-Link safety I/O hub can achieve Safety Integrity Level (SIL) CL 3 according to EN/IEC 62061 or Safety Performance Level (PL) e according to ISO 13849-1. "Traditionally, safety and automation were two separate worlds, requiring different sets of components and programming tools, yet both needed considerable amounts of integration efforts." says Tom Rosenberg, VP of Marketing and Engineering at Balluff, Inc. "IO-Link simplified the automation world by significantly reducing or eliminating in-cabinet terminations, and by adding enhanced diagnostics and parameterization features to sensors and actuators. Now, with safety over IO-Link, Balluff can offer the same benefits to the integration of safety devices in the same control architecture." Balluff's safety I/O hub is an IP67 protection rated machine mount IO-Link device. The safety I/O hub features eight M12 ports capable of connecting 6 dual channel safety inputs, 2 safe outputs and 2 standard I/O points. A multitude of safety devices can be connected to this safety hub. "As the safety I/O hub is mounted closer to the field devices, it reduces cable runs, eliminates terminations, and eliminates the potential for mis-wiring of safety devices. With IO-Link onboard, the safety hub offers enhanced diagnostics and configuration through the controller; enabling seamless integration of safety alongside standard automation," Rosenberg continues. The Balluff safety I/O hub carries a PROFIsafe conformance certificate from the PROFIBUS user organization and certificates for EN/IEC 61508 and EN/ISO13849-1 (TÜV SÜD). The Balluff safety I/O hub utilizes a black channel tunneling principle to communicate with the PROFIsafe controller via a Balluff PROFINET IO-Link master. "Since the safety I/O hub uses the same IO-Link master that connects to a multitude of IO-Link devices for automation needs, it enables our customer the ability to scale the automation architecture to include safety" says Shishir Rege, Marketing Manager for Networking and Safety at Balluff Inc. "Each open IO-Link master port on the Balluff PROFINET network block can be used to connect either an IO-Link device for automation or the Balluff safety I/O hub in order to easily integrate a host of safety devices. The possibilities are truly unlimited with IO-Link" Rege continues. Safety over IO-Link from Balluff eliminates the need for safety relays or a separate safety controller. Programming for safety and automation is brought together with a single PROFIsafe enabled automation controller. As the safety I/O hub is also an IO-Link device, it also eliminates the need for a dedicated network node to host safety devices; resulting in a robust, cost optimized solution for functional safety.


News Article | February 16, 2017
Site: globenewswire.com

VERO BEACH, Fla., Feb. 16, 2017 (GLOBE NEWSWIRE) -- Orchid Island Capital, Inc. (NYSE:ORC) ("Orchid” or the "Company"), a real estate investment trust ("REIT"), today announced results of operations for the three month period ended December 31, 2016. The Company reported net loss of $20.4 million for the three month period ended December 31, 2016, compared with net income of $7.8 million for the three month period ended December 31, 2015.  The fourth quarter net loss of $20.4 million included net interest income of $20.1 million, net portfolio losses of $38.0 million (which includes realized and unrealized gains (losses) on securities sold and derivative instruments), management fees and allocated overhead of $1.6 million, accrued compensation of $0.2 million, audit, legal and other professional fees of $0.2 million, and other operating, general and administrative expenses of $0.5 million. The Company allocates capital to two RMBS sub-portfolios, the pass-through RMBS portfolio (“PT RMBS”), and the structured RMBS portfolio, consisting of interest only (“IO”) and inverse interest-only (“IIO”) securities.  As of September 30, 2016, approximately 59% of the Company’s investable capital (which consists of equity in pledged PT RMBS, available cash and unencumbered assets) was deployed in the PT RMBS portfolio.  At December 31, 2016, the allocation to the PT RMBS had decreased 5% to approximately 54%. The table below details the changes to the respective sub-portfolios during the fourth quarter, as well as the returns generated by each. The tables below present the allocation of capital between the respective portfolios at December 31, 2016 and September 30, 2016, and the return on invested capital for each sub-portfolio for the three month period ended December 31, 2016.  The return on invested capital in the PT RMBS and structured RMBS portfolios was approximately (17.2)% and 9.4%, respectively, for the fourth quarter of 2016.  The combined portfolio generated a return on invested capital of approximately (6.3)%. (1) At December 31, 2016, there were outstanding repurchase agreement balances of $33.3 million and $45.5 million secured by IO and IIO securities, respectively.  We entered into these arrangements to generate additional cash to invest in PT RMBS; therefore, we have not considered these balances to be allocated to the structured securities strategy. (2) At September 30, 2016, total cash had been reduced by unsettled securities purchases of approximately $72.3 million. (3) At September 30, 2016, there were outstanding repurchase agreement balances of $22.4 million and $22.7 million secured by IO and IIO securities, respectively.  We entered into these arrangements to generate additional cash to invest in PT RMBS; therefore, we have not considered these balances to be allocated to the structured securities strategy. (1) Calculated by dividing the Total Return by the Beginning Capital Allocation, expressed as a percentage. (2) Calculated using two data points, the Beginning and Ending Capital Allocation balances. (3) Calculated by dividing the Total Return by the Average Capital Allocation, expressed as a percentage. For the quarter, Orchid received $76.1 million in scheduled and unscheduled principal repayments and prepayments, which equated to a constant prepayment rate (“CPR”) of approximately 12.2% for the fourth quarter of 2016.  Prepayment rates on the two RMBS sub-portfolios were as follows (in CPR): The following tables summarize Orchid’s PT RMBS and structured RMBS as of December 31, 2016 and 2015: (1) Effective duration of 4.579 indicates that an interest rate increase of 1.0% would be expected to cause a 4.579% decrease in the value of the RMBS in the Company’s investment portfolio at December 31, 2016.  An effective duration of 2.753 indicates that an interest rate increase of 1.0% would be expected to cause a 2.753% decrease in the value of the RMBS in the Company’s investment portfolio at December 31, 2015. These figures include the structured securities in the portfolio, but do not include the effect of the Company’s funding cost hedges.  Effective duration quotes for individual investments are obtained from The Yield Book, Inc. As of December 31, 2016, the Company had outstanding repurchase obligations of approximately $2,793.7 million with a net weighted average borrowing rate of 1.00%.  These agreements were collateralized by RMBS with a fair value, including accrued interest, of approximately $2,970.9 million and cash pledged to counterparties of approximately $10.8 million. The Company’s leverage ratio at December 31, 2016 was 8.4 to 1. At December 31, 2016, the Company’s liquidity was approximately $123.4 million, consisting of unpledged RMBS and cash and cash equivalents.  To enhance our liquidity even further, we may pledge more of our structured RMBS as part of a repurchase agreement funding, but retain the cash in lieu of acquiring additional assets.  In this way we can, at a modest cost, retain higher levels of cash on hand and decrease the likelihood we will have to sell assets in a distressed market in order to raise cash.  Below is a listing of outstanding borrowings under repurchase obligations at December 31, 2016. (1) Equal to the sum of the fair value of securities sold, accrued interest receivable and cash posted as collateral (if any), minus the sum of repurchase agreement liabilities, accrued interest payable and the fair value of securities posted by the counterparties (if any). In connection with its interest rate risk management strategy, the Company economically hedges a portion of the cost of its repurchase agreement funding against a rise in interest rates by entering into derivative financial instrument contracts.  The Company has not elected hedging treatment under U.S. generally accepted accounting principles (“GAAP”) in order to align the accounting treatment of its derivative instruments with the treatment of its portfolio assets under the fair value option election. As such, all gains or losses on these instruments are reflected in earnings for all periods presented. As of December 31, 2016, such instruments were comprised of Eurodollar and Treasury note (“T-Note”) futures contracts and interest rate swap agreements. The table below presents information related to the Company’s Eurodollar and T-Note futures contracts at December 31, 2016. (1) Open equity represents the cumulative gains (losses) recorded on open futures positions. (2) T-Note futures contracts were valued at a price of $124.28 at December 31, 2016.  The nominal value of the short position was $577.9 million. The table below presents information related to the Company’s interest rate swap positions at December 31, 2016. In addition to other requirements that must be satisfied to qualify as a REIT, we must pay annual dividends to our stockholders of at least 90% of our REIT taxable income, determined without regard to the deduction for dividends paid and excluding any net capital gains. We intend to pay regular monthly dividends to our stockholders and have declared the following dividends since our February 2013 IPO. (1) The effect of the dividends declared in 2017 are not reflected in the Company’s financial statements as of December 31, 2016. The table below presents total return data for Orchid compared to a selected group of peers for periods through December 31, 2016. Source: Company SEC filings and press releases (1) Total rate of return for each period is change in book value per share over the period plus dividends per share declared divided by the book value per share at the beginning of the period. None of the return calculations are annualized except the Stub 2013 calculation. (2) The peer average is the unweighted, simple average of the total rate of return for each of the following companies in each respective measurement period:  NLY, ANH, CMO, CYS, ARR, AGNC and AI.  HTS was included through Q1 2016. (3) Represents the total return for Orchid minus peer average in each respective measurement period. (4) Orchid completed its Initial Public Offering, or IPO, in February 2013.  We have elected to start our comparison beginning with Orchid's first full operating quarter, which was the second quarter of 2013. The Orchid IPO price was $15.00 per share on February 13, 2013, and Orchid paid its first dividend of $0.135 per share in March 2013.  The book value per share at March 31, 2013 was $14.98. (5) At January 1, 2014, Orchid had 3,341,665 shares outstanding and a book value per share of $13.40.  During the first quarter of 2014, Orchid completed two secondary offerings in which it sold 5,750,000 shares at a price of $11.86 per share net of fees and offering costs.  The book value per share as of March 31, 2014 was $12.47. (6) NLY acquired HTS in Q2 2016. HTS is excluded from any measurement periods after Q1 2016. The Company's book value per share at December 31, 2016 was $10.10.  The Company computes book value per share by dividing total stockholders' equity by the total number of shares outstanding of the Company's common stock. At December 31, 2016, the Company's stockholders' equity was $332.8 million with 32,962,919 shares of common stock outstanding. On July 29, 2016, Orchid entered into an equity distribution agreement (the “Equity Distribution Agreement”) with two sales agents pursuant to which the Company may offer and sell, from time to time, up to an aggregate amount of $125,000,000 of shares of the Company’s common stock in transactions that are deemed to be “at the market” offerings and privately negotiated transactions. Through December 31, 2016, the Company issued a total of 10,174,992 shares under the Equity Distribution Agreement for aggregate proceeds of approximately $108.2 million, net of commissions and fees. Commenting on the fourth quarter, Robert E. Cauley, Chairman and Chief Executive Officer, said, “The outlook for the economy, interest rates and the Federal Reserve (the “Fed”) changed dramatically during the fourth quarter of 2016 as Donald Trump unexpectedly won the U.S. Presidential election.  The Republican Party retained both houses of Congress, which also surprised the markets.  The markets reacted strongly to these developments and interest rates moved significantly higher. In what is commonly referred to as a “risk on” trade, treasury securities declined in price while other assets that carry more risk – equities, commodities, riskier bonds, etc. – all increased. The market expects expansionary fiscal policy – such as tax cuts/reform, infrastructure spending, less regulation and a very pro-business administration going forward. As a result, the market expects the Fed to follow a more aggressive policy in removing accommodation from the economy, as many of the expected policy proposals should be both expansionary and inflationary.  Comments by the Fed chair at the conclusion of their December meeting, a meeting at which they increased the Fed Funds target rate by 25 basis points, were taken as quite hawkish by the market. The Summary of Economics Projections, or SEP, implied the Fed expects three Fed Funds target rate increases in 2017. “These developments adversely impacted the MBS market, especially so after the Fed rate hike on December 14th.  Up until that point our portfolio of generally higher coupon, fixed rate 30-year securities had performed reasonably well, especially given the rather high exposure to specified pools.  However, our PT RMBS portfolio generally widened in spread to comparable duration treasuries during the second leg of the market sell-off in the fixed income market that occurred after the rate hike. The rate hike was the event that really triggered convexity related selling in the MBS market. By the end of that week, we observed brief periods where U.S. treasury prices were up on the day while MBS prices were down several tics.  However, the sell-off was also beneficial to our interest only securities and prepayment expectations going forward – albeit not enough to off-set the widening in our PT RMBS portfolio entirely. “As we move into the first quarter of 2017, the market is still waiting to see what the Trump administration will actually deliver for the economy and markets.  As developments unfold over the course of the year and beyond, the markets will be driven by the extent these developments are consistent with, or counter to, current market expectations.  At this point, there is no way of predicting this outcome.  In the meantime, the combination of higher rates and slower prepayment speeds should be supportive of the earnings power of the Company’s portfolio. This could be offset by additional rate hikes by the Fed, especially if yields on the Company’s assets do not rise in tandem.” An earnings conference call and live audio webcast will be hosted Friday, February 17, 2017, at 10:00 AM ET.  The conference call may be accessed by dialing toll free (877) 341-5668.  International callers dial (224) 357-2205.  The conference passcode is 69568389.  A live audio webcast of the conference call can be accessed via the investor relations section of the Company’s website at www.orchidislandcapital.com, and an audio archive of the webcast will be available until March 17, 2017. Orchid Island Capital, Inc. is a specialty finance company that invests on a leveraged basis in Agency RMBS. Our investment strategy focuses on, and our portfolio consists of, two categories of Agency RMBS: (i) traditional pass-through Agency RMBS and (ii) structured Agency RMBS, such as CMOs, IOs, IIOs and POs, among other types of structured Agency RMBS. Orchid is managed by Bimini Advisors, LLC, a registered investment adviser with the Securities and Exchange Commission. Statements herein relating to matters that are not historical facts, including, but not limited to statements regarding, interest rates, liquidity, pledging of our structured RMBS, funding levels and spreads, prepayment speeds, portfolio positioning, inflation, the effect of actions of the U.S. government, including the Fed and fiscal policy changes by the Trump administration, market expectations and general economic conditions, are forward-looking statements as defined in the Private Securities Litigation Reform Act of 1995. The reader is cautioned that such forward-looking statements are based on information available at the time and on management's good faith belief with respect to future events, and are subject to risks and uncertainties that could cause actual performance or results to differ materially from those expressed in such forward-looking statements. Important factors that could cause such differences are described in Orchid Island Capital, Inc.'s filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Orchid Island Capital, Inc. assumes no obligation to update forward-looking statements to reflect subsequent results, changes in assumptions or changes in other factors affecting forward-looking statements. The following is a summarized presentation of the unaudited balance sheets as of December 31, 2016 and 2015, and the unaudited quarterly results of operations for the calendar quarters and years ended December 31, 2016 and December 31, 2015.  Amounts presented are subject to change. (1) Average RMBS, borrowings and stockholders’ equity balances are calculated using two data points, the beginning and ending balances. (2) The leverage ratio is calculated by dividing total ending liabilities by ending stockholders’ equity. (3) Portfolio yields and costs of funds are calculated based on the average balances of the underlying investment portfolio/borrowings balances and are annualized for the quarterly periods presented. (4) Represents interest cost of our borrowings and the effect of derivative agreements attributed to the period related to hedging activities, divided by average borrowings. (5) Average interest rate spread is calculated by subtracting average cost of funds from average yield on RMBS. (6) Average economic interest rate spread is calculated by subtracting average economic cost of funds from average yield on RMBS.


News Article | February 27, 2017
Site: www.PR.com

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