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News Article | December 22, 2016
Site: globenewswire.com

TORONTO and NEW YORK, Dec. 22, 2016 (GLOBE NEWSWIRE) -- Micromem Technologies Inc. (“Micromem”) (“the Company”) (CSE:MRM) (OTCQX:MMTIF) through its wholly owned subsidiary Micromem Applied Sensor Technologies Inc. (MAST), is pleased to announce that it has received $100,000 USD as payment for work successfully completed per our joint product development agreement with our major oil and gas company partner. This phase will be completed in January 2017 upon which the commercialization phase will start. Micromem anticipates routine deliveries of the commercial product to our clients in the second half of 2017. Further information and specific deliverables will be subject to a subsequent release. About Micromem and MASTInc  MASTInc is a wholly owned U.S.-based subsidiary of Micromem Technologies Inc., a publicly traded (OTC QX:MMTIF) (CSE:MRM) company. MASTInc analyzes specific industry sectors to create intelligent game-changing applications that address unmet market needs. By leveraging its expertise and experience with sophisticated magnetic sensor applications, MASTInc successfully powers the development and implementation of innovative solutions for oil & gas, utilities, automotive, healthcare, government, information technology, manufacturing, and other industries. Visit www.micromeminc.com www.mastinc.com. Safe Harbor Statement This press release contains forward-looking statements. Such forward-looking statements are subject to a number of risks, assumptions and uncertainties that could cause the Company’s actual results to differ materially from those projected in such forward-looking statements. In particular, factors that could cause actual results to differ materially from those in forward looking statements include: our inability to obtain additional financing on acceptable terms; risk that our products and services will not gain widespread market acceptance; continued consumer adoption of digital technology; inability to compete with others who provide comparable products; the failure of our technology; the infringement of our technology with proprietary rights of third parties; inability to respond to consumer and technological demands; inability to replace significant customers; seasonal nature of our business; and other risks detailed in our filings with the Securities and Exchange Commission. Forward-looking statements speak only as of the date made and are not guarantees of future performance. We undertake no obligation to publicly update or revise any forward-looking statements. When used in this document, the words “believe,” “expect,” “anticipate,” “estimate,” “project,” “plan,” “should,” “intend,” “may,” “will,” “would,” “potential,” and similar expressions may be used to identify forward-looking statements. The CSE or any other securities regulatory authority has not reviewed and does not accept responsibility for the adequacy or accuracy of this press release that has been prepared by management.


News Article | December 8, 2016
Site: globenewswire.com

TORONTO and NEW YORK, Dec. 08, 2016 (GLOBE NEWSWIRE) -- Micromem Technologies Inc. (“Micromem”) (“the Company”) (CSE:MRM) (OTCQX:MMTIF) through its wholly owned subsidiary Micromem Applied Sensor Technologies Inc. (MAST), is pleased to announce that Castrol Innoventures (“Castrol”) has issued a US $100,000 purchase order for 10 evaluation units.  The Company has received payment.  This initial commercial order for the evaluation units will be used for field deployment, additional orders to follow. Our partnership with Castrol began September 3rd, 2014 to jointly develop technology that will improve client experience with Castrol. This is the beginning of the commercial phase for this project and as such will be reported as revenue. Micromem is in discussions with other corporations as adopters for this technology in market verticals other than those Castrol are focusing on. About Micromem and MASTInc  MASTInc is a wholly owned U.S.-based subsidiary of Micromem Technologies Inc., a publicly traded (OTCQX:MMTIF) (CSE:MRM) company. MASTInc analyzes specific industry sectors to create intelligent game-changing applications that address unmet market needs. By leveraging its expertise and experience with sophisticated magnetic sensor applications, MASTInc successfully powers the development and implementation of innovative solutions for oil & gas, utilities, automotive, healthcare, government, information technology, manufacturing, and other industries. Visit www.micromeminc.com www.mastinc.com. Safe Harbor Statement This press release contains forward-looking statements. Such forward-looking statements are subject to a number of risks, assumptions and uncertainties that could cause the Company’s actual results to differ materially from those projected in such forward-looking statements. In particular, factors that could cause actual results to differ materially from those in forward looking statements include: our inability to obtain additional financing on acceptable terms; risk that our products and services will not gain widespread market acceptance; continued consumer adoption of digital technology; inability to compete with others who provide comparable products; the failure of our technology; the infringement of our technology with proprietary rights of third parties; inability to respond to consumer and technological demands; inability to replace significant customers; seasonal nature of our business; and other risks detailed in our filings with the Securities and Exchange Commission. Forward-looking statements speak only as of the date made and are not guarantees of future performance. We undertake no obligation to publicly update or revise any forward-looking statements. When used in this document, the words “believe,” “expect,” “anticipate,” “estimate,” “project,” “plan,” “should,” “intend,” “may,” “will,” “would,” “potential,” and similar expressions may be used to identify forward-looking statements. The CSE or any other securities regulatory authority has not reviewed and does not accept responsibility for the adequacy or accuracy of this press release that has been prepared by management.


News Article | November 21, 2016
Site: globenewswire.com

TORONTO, Nov. 21, 2016 (GLOBE NEWSWIRE) -- Micromem Technologies Inc. (“Micromem”) (“the Company”) (CSE:MRM) (OTCQX:MMTIF) through its wholly owned subsidiary Micromem Applied Sensor Technologies Inc. (MAST), announces that it has invoiced this month US $200,000 on contract progress and sales made to Micromem’s oil company partners. This is booked as revenue from product sales and services provided. Micromem’s oil company projects continue to meet their milestones. In addition, new potential customers are now reviewing the technology developed for our oil company projects. About Micromem and MASTInc MASTInc is a wholly owned U.S.-based subsidiary of Micromem Technologies Inc., a publicly traded (OTCQX:MMTIF) (CSE:MRM) company. MASTInc analyzes specific industry sectors to create intelligent game-changing applications that address unmet market needs. By leveraging its expertise and experience with sophisticated magnetic sensor applications, MASTInc successfully powers the development and implementation of innovative solutions for oil & gas, utilities, automotive, healthcare, government, information technology, manufacturing, and other industries. Visit www.micromeminc.com, www.mastinc.com. Safe Harbor Statement This press release contains forward-looking statements. Such forward-looking statements are subject to a number of risks, assumptions and uncertainties that could cause the Company’s actual results to differ materially from those projected in such forward-looking statements. In particular, factors that could cause actual results to differ materially from those in forward-looking statements include: our inability to obtain additional financing on acceptable terms; risk that our products and services will not gain widespread market acceptance; continued consumer adoption of digital technology; inability to compete with others who provide comparable products; the failure of our technology; the infringement of our technology with proprietary rights of third parties; inability to respond to consumer and technological demands; inability to replace significant customers; seasonal nature of our business; and other risks detailed in our filings with the Securities and Exchange Commission. Forward-looking statements speak only as of the date made and are not guarantees of future performance. We undertake no obligation to publicly update or revise any forward-looking statements. When used in this document, the words “believe,” “expect,” “anticipate,” “estimate,” “project,” “plan,” “should,” “intend,” “may,” “will,” “would,” “potential,” and similar expressions may be used to identify forward-looking statements. The CSE or any other securities regulatory authority has not reviewed and does not accept responsibility for the adequacy or accuracy of this press release that has been prepared by management.


News Article | November 8, 2016
Site: globenewswire.com

TORONTO and NEW YORK, Nov. 08, 2016 (GLOBE NEWSWIRE) -- Micromem Technologies Inc. (“Micromem”) (“the Company”) (CSE:MRM) (OTCQX:MMTIF) through its wholly owned subsidiary Micromem Applied Sensor Technologies Inc. (MAST), is pleased to announce the United States Patent & Trademark Office (“USPTO”) has formally advised Micromem that they are publishing our patent application US2016/0266086 A1 on 9/15/16 for the Cement Integrity Sensor (the “patented technology”).  This is a foundational patent for technology that will significantly change the way management of oil/gas well cement pours are monitored.  Our patented technology will allow fracking pressures to more accurately match the structural integrity of the cement bore and will provide greater visibility as to the integrity and consistency of the cement installation. It is focused on improvement in operational efficiency and enhancement of environmental protection. The patented technology is designed to operate in real time to alert operations of emerging cement integrity issues that, in the past, have led to serious infrastructure failure and ultimately environmental incursions.  It is also designed and targeted for use in other structures incorporating cement, for example, highways, bridges and buildings. The patented technology is particularly suited for these applications, in that our sensors are incorporated into the cement as part of the routine cement pour, requiring no special operations. MEMS (Microelectromechanical Systems) and NEMS (Nanoelectromechanical Systems) are incorporated in the technology components, with a targeted manufacturing cost of fractions of a penny in high volumes. The sensors used in the patented technology are designed to be pervasively deployed throughout the cement structure, are passive in nature and respond to electromagnetic queries for feedback in real time. With no need for external power sources the technology is deployable in a multitude of environments. Micromem, through MAST, has progressed well beyond the patent stage, has developed and is testing sensor prototypes for oil well applications. The current plan is to have a fully tested in-field demonstration of this innovative technology completed in 2017. About Micromem and MASTInc  MASTInc is a wholly owned U.S.-based subsidiary of Micromem Technologies Inc., a publicly traded (OTCQX:MMTIF) (CSE:MRM) company. MASTInc analyzes specific industry sectors to create intelligent game-changing applications that address unmet market needs. By leveraging its expertise and experience with sophisticated magnetic sensor applications, MASTInc successfully powers the development and implementation of innovative solutions for oil & gas, utilities, automotive, healthcare, government, information technology, manufacturing, and other industries. Visit www.micromeminc.com  www.mastinc.com. Safe Harbor Statement This press release contains forward-looking statements. Such forward-looking statements are subject to a number of risks, assumptions and uncertainties that could cause the Company’s actual results to differ materially from those projected in such forward-looking statements. In particular, factors that could cause actual results to differ materially from those in forward looking statements include: our inability to obtain additional financing on acceptable terms; risk that our products and services will not gain widespread market acceptance; continued consumer adoption of digital technology; inability to compete with others who provide comparable products; the failure of our technology; the infringement of our technology with proprietary rights of third parties; inability to respond to consumer and technological demands; inability to replace significant customers; seasonal nature of our business; and other risks detailed in our filings with the Securities and Exchange Commission. Forward-looking statements speak only as of the date made and are not guarantees of future performance. We undertake no obligation to publicly update or revise any forward-looking statements. When used in this document, the words “believe,” “expect,” “anticipate,” “estimate,” “project,” “plan,” “should,” “intend,” “may,” “will,” “would,” “potential,” and similar expressions may be used to identify forward-looking statements. The CSE or any other securities regulatory authority has not reviewed and does not accept responsibility for the adequacy or accuracy of this press release that has been prepared by management. Listing:  NASD OTC-QX - Symbol: MMTIF     CSE - Symbol: MRM Shares issued: 204,298,569 SEC File No: 0-26005 Investor Contact:  info@micromeminc.com; Tel. 416-364-2023 Subscribe to receive News Releases by Email on our website’s home page.  www.micromeminc.com


Theiss H.J.,Applied Sensor
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2012

Sensor builders in the digital era have design limitations due to the constraint of maximum available digital array size. A straightforward solution exists, for example, when four cameras that each simultaneously captures an image from essentially the same perspective centre; they can be re-sampled to form a virtual large format image that can be exploited using a single (instead of four separate) instantiation of a frame model. The purpose of this paper is to address the less trivial time-dependent cases where the sensor scans the ground and the detector arrays obtain chips of imagery that need to be stitched together to form a single conveniently exploitable image. Many operational techniques warp the imagery to form a mosaic, or ortho-rectify it using an imperfect digital surface model (DSM), thus eliminating the possibility for accurate geolocation and uncertainty estimation. This algorithm, however, forms a single virtual image with associated smooth metadata, which can be exploited using a simple physical sensor model. The algorithm consists of four main steps: 1) automated tie point matching; 2) camera calibration (once per sensor); 3) block adjustment; and 4) pixel re-sampling based on an "idealized" virtual model. The same geometry model used to form the image, or its true replacement, must be used to exploit it. This paper verifies the algorithm using real imagery acquired from the Global Hawk (GH) UAV. Registration of the virtual image to a WorldView1 stereopair using four tie points yielded an RMS below 0.6 meters per horizontal axis.


Dolloff J.T.,Applied Sensor
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2012

A video-stream associated with an Unmanned System or Full Motion Video can support the extraction of ground coordinates of a target of interest. The sensor metadata associated with the video-stream includes a time series of estimates of sensor position and attitude, required for down-stream single frame or multi-frame ground point extraction, such as stereo extraction using two frames in the video-stream that are separated in both time and imaging geometry. The sensor metadata may also include a corresponding time history of sensor position and attitude estimate accuracy (error covariance). This is required for optimal down-stream target extraction as well as corresponding reliable predictions of extraction accuracy. However, for multi-frame extraction, this is only a necessary condition. The temporal correlation of estimate errors (error cross-covariance) between an arbitrary pair of video frames is also required. When the estimates of sensor position and attitude are from a Kalman filter, as typically the case, the corresponding error covariances are automatically computed and available. However, the cross-covariances are not. This paper presents an efficient method for their exact representation in the metadata using additional, easily computed, data from the Kalman filter. The paper also presents an optimal weighted least squares extraction algorithm that correctly accounts for the temporal correlation, given the additional metadata. Simulation-based examples are presented that show the importance of correctly accounting for temporal correlation in multi-frame extraction algorithms. © 2012 SPIE.


Dolloff J.T.,Applied Sensor
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013

Whether statistically representing the errors in the estimates of sensor metadata associated with a set of images, or statistically representing the errors in the estimates of 3D location associated with a set of ground points, the corresponding "full" multi-state vector error covariance matrix is critical to exploitation of the data. For sensor metadata, the individual state vectors typically correspond to sensor position and attitude of an image. These state vectors, along with their corresponding full error covariance matrix, are required for optimal down-stream exploitation of the image(s), such as for the stereo extraction of a 3D target location and its corresponding predicted accuracy. In this example, the full error covariance matrix statistically represents the sensor errors for each of the two images as well as the correlation (similarity) of errors between the two images. For ground locations, the individual state vectors typically correspond to 3D location. The corresponding full error covariance matrix statistically represents the location errors in each of the ground points as well as the correlation (similarity) of errors between any pair of the ground points. It is required in order to compute reliable estimates of relative accuracy between arbitrary ground point pairs, and for the proper weighting of the ground points when used as control, in for example, a fusion process. This paper details the above, and presents practical methods for the representation of the full error covariance matrix, ranging from direct representation with large bandwidth requirements, to high-fidelity approximation methods with small bandwidth requirements. © 2013 SPIE.


Patent
Applied Sensor | Date: 2016-06-10

This invention encompasses embodiments for multi-modal integrated simultaneous measurement of various aspects of fluids contained in circulating systems such as automotive reciprocating engines and vehicle transmissions. These circulating systems perform constant internal lubrication, and heat and contaminant removal to protect the internal moving parts from the inherent friction and damage in normal operation. Most commonly this is achieved with fluids based on hydrocarbon and/or related synthetics, which, over time, can lose their protective properties, and vary in their performance or breakdown/decay due to internal and external events. Several components within the lubricant fluid can be measured and can provide insight into the efficacy of the system to perform its designed mission. The mass and level of the fluid may also be monitored on an on-going basis. Described herein is a real-time, simultaneous, integrated, multi-modal sensor system for early warning notification.


The invention encompasses systems and methods for detecting and/or monitoring the integrity and/or condition of cement, structures incorporating cement including, for example, highways, bridges, buildings, and wellbores using Nano-Electro-Mechanical System (NEMS)-based and/or Micro-Electro-Mechanical System (MEMS)-based data sensors. The disclosure further encompasses systems and methods of monitoring the integrity and performance of a structure and the surrounding formation of structure through the life of the structure using NEMS/MEMS-based data sensors.


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