We introduce *** a co-processor architecture consisting of a main microcontroller (MCU) that executes scaled-down versions of a deep neural network(1) (DNN) inference task, and an accelerator microcontroller that is p...
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ISBN:
(纸本)9781450369503
We introduce *** a co-processor architecture consisting of a main microcontroller (MCU) that executes scaled-down versions of a deep neural network(1) (DNN) inference task, and an accelerator microcontroller that is powered by harvested energy and follows the intermittent computing paradigm [76]. The goal of the accelerator is to enhance the inference performance of the DNN that is running on the main microcontroller. *** opportunistically accelerates the run-time performance of a DNN via one of its four acceleration modes: extended inference, expedited inference, ensemble inference, and latent training. To enable these modes, we propose two sets of algorithms: (1) energy and intermittence-aware DNN inference and training algorithms, and (2) a fast and high-precision adaptive fixed-point arithmetic that beats existing floating-point and fixed-point arithmetic in terms of speed and precision, respectively, and achieves the best of both. To evaluate ***, we implement low-power image and audio recognition applications and demonstrate that their inference speedup increases by 1.6x and 1.7x, respectively, and the inference accuracy increases by 10% and 16%, respectively, when compared to battery-powered single-MCU systems.
We report recent developments in the design and fabrication of molecularly self-assembled thin film materials that may be incorporated with optical fiber waveguides to form humidity and other gas sensors of use in bio...
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ISBN:
(纸本)0819447579
We report recent developments in the design and fabrication of molecularly self-assembled thin film materials that may be incorporated with optical fiber waveguides to form humidity and other gas sensors of use in biomedical diagnostic systems. Optical fiber distal end sensors based on this concept may be fabricated by molecularly self-assembling selected polymers and functionalized inorganic nanoclusters into multilayered optical thin films on the cleaved and polished flat ends of singlemode optical fibers. Prior work reported at this meeting has studied the synthesis process and sensor dynamics, including sensor 10-90% risetime on the order of microseconds. This paper briefly reviews that work but then reports new developments in the synthesis of the sensor films.
Modern mobile communication systems have a radio frequency between 800 MHz and 2.0 GHz. Wireless communication systems are one of the most rapidly growing areas of telecommunication. The cellular phone and the cordles...
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Over the recent years, several aquatic applications rely on promising networking techniques like the underwater acoustic sensor network (UWSN) for data exchange. UWSN exhibits certain challenges like high energy consu...
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A novel DSP based control system of permanent magnet brushless in-wheel motors used for micro Electric Vehicles (EVs) is presented. A new digital electric differential algorithm and the corresponding control technique...
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ISBN:
(纸本)750626210X
A novel DSP based control system of permanent magnet brushless in-wheel motors used for micro Electric Vehicles (EVs) is presented. A new digital electric differential algorithm and the corresponding control techniques, such as the measurement of the phase current by using one current sensor, the phase position measurement etc., are also discussed. Experimental results are presented to validate the feasibility and robustness of the proposed control system in engineering applications of EVs.
The Wi-Fi and GSM based home security system is a system designed to reduce the high rates of crimes in most personal housing. The overall project consists of three major parts;the input part that consists of sensors,...
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The Wi-Fi and GSM based home security system is a system designed to reduce the high rates of crimes in most personal housing. The overall project consists of three major parts;the input part that consists of sensors, the software part that operates the entire hardware structure, and the output part, which consists of camera, alarm system, and micro secure digital (SD) data storage card. It is based on the principle of infrared radiation generated by a human body heat which trigger the passive infrared (PIR) sensor. The microcontroller processes the received signal, then trigger the buzzer alarm, camera and alerts the home owner through an SMS. Once triggered, the camera will capture the image of the intruder and the image will be saved in SD card. As alert to the user (away), the Global System for Mobile Communication (GSM) will send the Short Message Service (SMS) from the device to the user's mobile phone. The image will be sent to Dropbox data cloud storage via Wi-Fi for further clarification. The prototype was successfully developed, tested and has been installed at residential area in Taman Cahaya Alam, Section U12, Shah Alam, Malaysia.
Hundreds or thousands of wireless sensor nodes with limited energy resource are randomly scattered in the observation fields to extract the data messages for users. Because their energy resource cannot be recharged, e...
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An active interrogation technique for a 16-cascaded wavelength-division multiplexing fiber Bragg grating sensor system is proposed. The system has been demonstrated using a combination of a feedback control technique,...
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ISBN:
(纸本)0819443255
An active interrogation technique for a 16-cascaded wavelength-division multiplexing fiber Bragg grating sensor system is proposed. The system has been demonstrated using a combination of a feedback control technique, which makes the transmission of an employed tunable F-P filter track the Bragg wavelength of the interrogated sensor automatically, and a technique for choosing the output wavelength of a ring-compounded-cavity fiber laser by tuning the applied voltage of the filter. Demodulated by using an unbalanced scanning Michelson interferometer, a sensitivity of 1.682 Deg/muepsilon has been achieved.
Administrators of most user-facing systems depend on periodic log data to get an idea of the health and status of production applications. Logs report information, which is crucial to diagnose the root cause of comple...
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ISBN:
(纸本)9781538668719
Administrators of most user-facing systems depend on periodic log data to get an idea of the health and status of production applications. Logs report information, which is crucial to diagnose the root cause of complex problems. In this paper, we present a real-time log analysis system called LogLens that automates the process of anomaly detection from logs with no (or minimal) target system knowledge and user specification. In LogLens, we employ unsupervised machine learning based techniques to discover patterns in application logs, and then leverage these patterns along with the real-time log parsing for designing advanced log analytics applications. Compared to the existing systems which are primarily limited to log indexing and search capabilities, LogLens presents an extensible system for supporting both stateless and stateful log analysis applications. Currently, LogLens is running at the core of a commercial log analysis solution handling millions of logs generated from the large-scale industrial environments and reported up to 12096x man-hours reduction in troubleshooting operational problems compared to the manual approach.
This paper describes a solid-state sensor for ultra-high-speed (UHS) imaging. The 'Kirana' sensor was designed and manufactured in a 180 nm CMOS technology to achieve full-frame 0.7 Megapixel video capture at ...
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ISBN:
(纸本)9780819494320
This paper describes a solid-state sensor for ultra-high-speed (UHS) imaging. The 'Kirana' sensor was designed and manufactured in a 180 nm CMOS technology to achieve full-frame 0.7 Megapixel video capture at speeds at 2 MHz. The 30 mu m pixels contain a pinned photodiode, a set of 180 low-leakage storage cells, a floating-diffusion, and a source follower output structure. Both the individual cells and the way they are arranged in the pixel are novel. The pixel architecture allows correlated double sampling for low noise operation. In the fast mode, the storage cells are operated as a circular buffer, where 180 consecutive frames are stored until receipt of a trigger;up to 5 video-bursts per second can be read out. In the 'slow' mode, the storage cells act like a pipeline;the sensor can be read out like a conventional sensor at a continuous frame rate of 1,180 fps. The sensor architecture is fully scalable in resolution since memory cells are located inside each pixel. The pixel architecture is scalable in memory depth (number of frames) as a trade-off with pixel size, dependent on application. The present implementation of 0.7 Mpixels has an array focal plane which is optimized for standard 35 mm optics, whilst offering a competitive 180-frame recording depth. The sensor described has been manufactured and is currently being characterized. Operation of the sensor in the fast mode at 2 million frames per second has been achieved. Details on the camera/sensor operation are presented together with first experimental results.
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