Relevant bibliographies by topics / Encoder

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Encoder'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Encoder"

1

Gurauskis, Donatas, Krzysztof Przystupa, Artūras Kilikevičius, Mikołaj Skowron, Jonas Matijošius, Jacek Caban, and Kristina Kilikevičienė. "Development and Experimental Research of Different Mechanical Designs of an Optical Linear Encoder’s Reading Head." Sensors 22, no. 8 (April 13, 2022): 2977. http://dx.doi.org/10.3390/s22082977.

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Optical linear encoders are widely used in manufacturing. They are accurate and have a relatively high resolution and good repeatability. However, there are a lot of side effects, which have an inevitable impact on the performance of an encoder. In general, the majority of these effects could be minimized by the appropriate design of an encoder’s reading head. This paper discusses the working principle of and commonly occurring errors in optical linear encoders. Three different mechanical designs are developed and implemented in the experimental reading head of the linear encoder in order to evaluate how mechanical construction influences the displacement measurement accuracy and total performance of the encoder.
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Herrojo, Cristian, Ferran Paredes, and Ferran Martín. "3D-Printed All-Dielectric Electromagnetic Encoders with Synchronous Reading for Measuring Displacements and Velocities." Sensors 20, no. 17 (August 27, 2020): 4837. http://dx.doi.org/10.3390/s20174837.

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In this paper, 3D-printed electromagnetic (or microwave) encoders with synchronous reading based on permittivity contrast, and devoted to the measurement of displacements and velocities, are reported for the first time. The considered encoders are based on two chains of linearly shaped apertures made on a 3D-printed high-permittivity dielectric material. One such aperture chain contains the identification (ID) code, whereas the other chain provides the clock signal. Synchronous reading is necessary in order to determine the absolute position if the velocity between the encoder and the sensitive part of the reader is not constant. Such absolute position can be determined as long as the whole encoder is encoded with the so-called de Bruijn sequence. For encoder reading, a splitter/combiner structure with each branch loaded with a series gap and a slot resonator (each one tuned to a different frequency) is considered. Such a structure is able to detect the presence of the apertures when the encoder is displaced, at short distance, over the slots. Thus, by injecting two harmonic signals, conveniently tuned, at the input port of the splitter/combiner structure, two amplitude modulated (AM) signals are generated by tag motion at the output port of the sensitive part of the reader. One of the AM envelope functions provides the absolute position, whereas the other one provides the clock signal and the velocity of the encoder. These synchronous 3D-printed all-dielectric encoders based on permittivity contrast are a good alternative to microwave encoders based on metallic inclusions in those applications where low cost as well as major robustness against mechanical wearing and aging effects are the main concerns.
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Geng, Liming, Guohua Cao, Chunmin Shang, and Hongchang Ding. "Absolute Photoelectric Encoder Based on Position-Sensitive Detector Sensor." Electronics 13, no. 8 (April 11, 2024): 1446. http://dx.doi.org/10.3390/electronics13081446.

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In response to the engineering, miniaturization, and high measurement accuracy requirements of encoders, this paper proposes a new type of absolute photoelectric encoder based on a position-sensitive detector (PSD). It breaks the traditional encoder’s code track design and adopts a continuous and transparent code track design, which has the advantages of small volume, high angle measurement accuracy, and easy engineering. The research content of this article mainly includes the design of a new code disk, decoding circuit, linear light source, and calibration method. The experimental results show that the encoder designed in this article has achieved miniaturization, simple installation and adjustment, and easy engineering. The volume of the encoder is Φ50 mm × 30 mm; after calibration, the resolution is better than 18 bits, and the accuracy reaches 5.4″, which further demonstrates the feasibility of the encoder’s encoding and decoding scheme.
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Siva Kumar, M., S. Syed Shameem, M. N. V. Raghu Sai, Dheeraj Nikhil, P. Kartheek, and K. Hari Kishore. "Efficient and low latency turbo encoder design using Verilog-Hdl." International Journal of Engineering & Technology 7, no. 1.5 (December 31, 2017): 37. http://dx.doi.org/10.14419/ijet.v7i1.5.9119.

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Low complexity turbo-like codes based totally on the simple trellis or simple graph shape consequences in encoding with low complexity. Out of this Convolution, encoder and turbo codes are widely used due to the splendid errors control performance. The most famous communications encoding set of rules, the iterative deciphering calls for an exponential expansion in hardware complexity to acquire expanded encode accuracy. This paper makes a usage of Log-Map based Iterative decoding technique and specialty in the conclusion of the turbo encoder. The rapid codes are designed with the help of Recursive Systematic Convolution and are separated thru interleave, which (thing used to rearrange the bit collection) plays an essential position within the encoding technique. This paper offers the design of the parallel connection of Recursive Systematic Convolution (RSC) encoders and interleave to restrict postpone, results to form a turbo Encoder. The turbo Encoder is designed by way of Verilog-HDL and Synthesized through Xilinx ISE
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Wang, Bairui, Lin Ma, Wei Zhang, Wenhao Jiang, and Feng Zhang. "Hierarchical Photo-Scene Encoder for Album Storytelling." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8909–16. http://dx.doi.org/10.1609/aaai.v33i01.33018909.

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In this paper, we propose a novel model with a hierarchical photo-scene encoder and a reconstructor for the task of album storytelling. The photo-scene encoder contains two subencoders, namely the photo and scene encoders, which are stacked together and behave hierarchically to fully exploit the structure information of the photos within an album. Specifically, the photo encoder generates semantic representation for each photo while exploiting temporal relationships among them. The scene encoder, relying on the obtained photo representations, is responsible for detecting the scene changes and generating scene representations. Subsequently, the decoder dynamically and attentively summarizes the encoded photo and scene representations to generate a sequence of album representations, based on which a story consisting of multiple coherent sentences is generated. In order to fully extract the useful semantic information from an album, a reconstructor is employed to reproduce the summarized album representations based on the hidden states of the decoder. The proposed model can be trained in an end-to-end manner, which results in an improved performance over the state-of-the-arts on the public visual storytelling (VIST) dataset. Ablation studies further demonstrate the effectiveness of the proposed hierarchical photo-scene encoder and reconstructor.
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Yang, Fan, Xinji Lu, Artūras Kilikevičius, and Donatas Gurauskis. "Methods for Reducing Subdivision Error within One Signal Period of Single-Field Scanning Absolute Linear Encoder." Sensors 23, no. 2 (January 12, 2023): 865. http://dx.doi.org/10.3390/s23020865.

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Optical encoders are widely used in accurate displacement measurement and motion-control technologies. Based on different measurement methods, optical encoders can be divided into absolute and incremental optical encoders. Absolute linear encoders are commonly used in advanced computer numerical control (CNC) machines. The subdivision error within one signal period (SDE) of the absolute linear encoder is vital to the positioning accuracy and low velocity control of CNC machines. In our paper, we study the working principle of the absolute linear encoder. We proposed two methods for reducing the SDE of the absolute linear encoder, a single-field scanning method based on the shutter-shaped Moiré fringe, as well as a method for suppressing harmonics through a phase shift of index grating. We established a SDE measuring device to determine the absolute linear encoder’s SDE, which we measured using a constant-speed approach. With our proposed methods, the SDE was reduced from ±0.218 μm to ±0.135 μm, which is a decrease of 38.07%. Our fast Fourier transformation (FFT) analysis of the collected Moiré fringe signals demonstrated that the third-, fifth-, and seventh-order harmonics were effectively suppressed.
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Ban, Jingxuan, Gang Chen, Lei Wang, and Yue Meng. "A calibration method for rotary optical encoder temperature error in a rotational inertial navigation system." Measurement Science and Technology 33, no. 6 (March 17, 2022): 065203. http://dx.doi.org/10.1088/1361-6501/ac4c67.

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Abstract A rotary optical encoder is an important component in a rotational inertial navigation system (RINS). It is used to form a closed-loop motor control system and calculate the system attitude. The system performance will be affected by the encoder’s error. Ín addition to the installation errors, the working temperature variants can lead to encoder error. Therefore, in this paper we propose a method to calibrate and compensate the temperature errors of rotary optical encoders. First, an independent testing mechanism with position limitation and a rotatable platform is designed and produced to verify the temperature influence on encoders. Then, the temperature error of the rotary optical encoder used in RINS is calculated by a gyroscope whose sensitive axis is parallel to the same motor axis. The method is verified by a self-researched single-axis RINS. According to the experimental results, the measurement accuracy is increased by more than 47.9% compared to the traditional method.
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Jing, Yongcheng, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, and Shilei Wen. "Dynamic Instance Normalization for Arbitrary Style Transfer." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4369–76. http://dx.doi.org/10.1609/aaai.v34i04.5862.

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Prior normalization methods rely on affine transformations to produce arbitrary image style transfers, of which the parameters are computed in a pre-defined way. Such manually-defined nature eventually results in the high-cost and shared encoders for both style and content encoding, making style transfer systems cumbersome to be deployed in resource-constrained environments like on the mobile-terminal side. In this paper, we propose a new and generalized normalization module, termed as Dynamic Instance Normalization (DIN), that allows for flexible and more efficient arbitrary style transfers. Comprising an instance normalization and a dynamic convolution, DIN encodes a style image into learnable convolution parameters, upon which the content image is stylized. Unlike conventional methods that use shared complex encoders to encode content and style, the proposed DIN introduces a sophisticated style encoder, yet comes with a compact and lightweight content encoder for fast inference. Experimental results demonstrate that the proposed approach yields very encouraging results on challenging style patterns and, to our best knowledge, for the first time enables an arbitrary style transfer using MobileNet-based lightweight architecture, leading to a reduction factor of more than twenty in computational cost as compared to existing approaches. Furthermore, the proposed DIN provides flexible support for state-of-the-art convolutional operations, and thus triggers novel functionalities, such as uniform-stroke placement for non-natural images and automatic spatial-stroke control.
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Gutiérrez-Aguado, Juan, Raúl Peña-Ortiz, Miguel Garcia-Pineda, and Jose M. Claver. "A Cloud-Based Distributed Architecture to Accelerate Video Encoders." Applied Sciences 10, no. 15 (July 23, 2020): 5070. http://dx.doi.org/10.3390/app10155070.

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Nowadays, video coding and transcoding have a great interest and important impact in areas such as high-definition video and entertainment, healthcare and elderly care, high-resolution video surveillance, self-driving cars, or e-learning. This growing demand for high-resolution video boosts the proposal of new codecs and the development of their encoders that require high computational requirements. Therefore, new strategies are needed to accelerate them. Cloud infrastructures offer interesting features for video coding, such as on-demand resource allocation, multitenancy, elasticity, and resiliency. This paper proposes a cloud-based distributed architecture, where the network and the storage layers have been tuned, to accelerate video encoders over an elastic number of worker encoder nodes. Moreover, an application is developed and executed in the proposed architecture to allow the creation of encoding jobs, their dynamic assignment, their execution in the worker encoder nodes, and the reprogramming of the failed ones. To validate the proposed architecture, the parallel execution of existing video encoders, x265 for H.265/HEVC and libvpx-vp9 for VP9, has been evaluated in terms of scalability, workload, and job distribution, varying the number of encoder nodes. The quality of the encoded videos has been analyzed for different bit rates and number of frames per job using the Peak Signal-to-Noise Ratio (PSNR). Results show that our proposal maintains video quality compared with the sequential encoding while improving encoding time, which can decrease near 90%, depending on the codec and the number of encoder nodes.
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Soleimani, Mohammad, and Siroos Toofan. "Improvement of Gray ROM-Based Encoder for Flash ADCs." Journal of Circuits, Systems and Computers 28, no. 06 (June 12, 2019): 1950097. http://dx.doi.org/10.1142/s021812661950097x.

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In this paper, gray ROM-based encoder is proposed for the implementation of flash ADCs encoder block based on converting the conventional 1-of-[Formula: see text] thermometer codes to 2-of-[Formula: see text] codes ([Formula: see text]). The proposed gray ROM-based encoder is composed of three stages. In the first stage, the thermometer codes are converted to 2-of-[Formula: see text] codes by the use of two-input AND and four-input merged AND–OR gates. In the second stage, 2-of-[Formula: see text] codes are turned to [Formula: see text] gray codes and a binary code by a quasi-gray ROM encoder and a binary ROM encoder, respectively. Finally, in the third stage, [Formula: see text] MSB bits and LSB bit are determined by a quasi-gray-to-binary converter and a CMOS inverter, respectively. The advantages of the proposed encoder over the conventional encoder are higher speed of second stage, low power, low area and low latency with the same bubble and meta-stability errors removing capability. To demonstrate the mentioned specifications, two 5-bit flash ADCs with the conventional and proposed encoders in their encoder blocks are analyzed and simulated at 2-GS/s and 3.2-GS/s sampling rates in 0.18-[Formula: see text]m CMOS process. Simulation results show that the ENOBs of flash ADCs with the conventional and proposed encoders are equal. In this case, the proposed encoder outputs are determined to be approximately 30[Formula: see text]ps faster than the conventional encoder at 2 GS/s. The power dissipations of the conventional and proposed encoders were 19.50[Formula: see text]mW and 13.90[Formula: see text]mW at 3.2-GS/s sampling rate from a 1.8-V supply and also the latencies of the encoders were 4 ADC clocks and 3 ADC clocks, respectively. In this case, the number of D-FFs and logic gates of the proposed encoder is decreased approximately by 37% when compared to the conventional encoder.
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Dissertations / Theses on the topic "Encoder"

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Hudgins, Hayden. "Human Path Prediction using Auto Encoder LSTMs and Single Temporal Encoders." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2119.

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Due to automation, the world is changing at a rapid pace. Autonomous agents have become more common over the last several years and, as a result, have created a need for improved software to back them up. The most important aspect of this greater software is path prediction, as robots need to be able to decide where to move in the future. In order to accomplish this, a robot must know how to avoid humans, putting frame prediction at the core of many modern day solutions. A popular way to solve this complex problem of frame prediction is Auto Encoder LSTMs. Though there are many implementations of this, at its core, it is a neural network comprised of a series of time sensitive processing blocks that shrink and then grow the data’s dimensions to make a prediction. The idea of using Auto Encoder styled networks to do frame prediction has also been adapted by others to make Temporal Encoders. These neural networks work much like traditional Auto Encoders, in which the data is reduced then expanded back up. These networks attempt to tease out a series of frames, including a predictive frame of the future. The problem with many of these networks is that they take an immense amount of computation power, and time to get them performing at an acceptable level. This thesis presents possible ways of pre-processing input frames to these networks in order to gain performance, in the best case seeing a 360x improvement in accuracy compared to the original models. This thesis also extends the work done with Temporal Encoders to create more precise prediction models, which showed consistent improvements of at least 50% for some metrics. All of the generated models were compared using a simulated data set collected from recordings of ground level viewpoints from Cities: Skylines. These predicted frames were then analyzed using a common perceptual distance metric, that is, Minkowski distance, as well as a custom metric that tracked distinct areas in frames. All of the following was run on a constrained system in order to see the effects of the changes as they pertain to systems with limited hardware access.
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Bondurant, Philip D., and Andrew Driesman. "Smart PCM Encoder." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/611601.

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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada
In this paper, a new concept in PCM telemetry encoding equipment is described. Existing "programmable" PCM encoders allow only simple changes in the functionality of the hardware, such as input gain, offset, and word formatting. More importantly, these encoders do not provide capability for "in-flight" processing of signals and in general have not taken advantage of existing hardware and software digital signal processing technology. In-flight processing of signals can provide a significant reduction in the required transmission bandwidth, allowing additional data that may not have otherwise been transmitted to be sent on the telemetry channel. A modular digital signal processor (DSP) based PCM encoder architecture is described that has a set of on-board processing algorithms configurable via a simple-to-use graphical user interface. Algorithms included are compression (lossy and lossless), Fourier transforms of various resolutions (typically followed by peak detection to provide a data rate reduction), extreme values (max, min, rms), time filtering, regression, trajectory prediction, and serial data stream processing. Custom algorithms can be developed and included as part of the suite of processing algorithms. The preprocessing algorithms exist as firmware on the DSPs and can accommodate as many different signals as the processing bandwidth of the DSP can handle. Typically one DSP can handle many input signals and different algorithms. The encoder is programmable via a standard RS-232 serial interface allowing the signal input configuration, telemetry frame layout, and on-board processing algorithms to be changed quickly.
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Carr, John Peter. "Integrated optical encoder." Thesis, Heriot-Watt University, 2010. http://hdl.handle.net/10399/2520.

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The three state contact process is the modi cation of the contact process at rate in which rst infections occur at rate instead. Chapters 2 and 3 consider the three state contact process on (graphs that have as set of sites) the integers with nearest neighbours interaction (that is, edges are placed among sites at Euclidean distance one apart). Results in Chapter 2 are meant to illustrate regularity of the growth of the process under the assumption that , that is, reverse immunization. While in Chapter 3 two results regarding the convergence rates of the process are given. Chapter 4 is concerned with the i.i.d. behaviour of the right endpoint of contact processes on the integers with symmetric, translation invariant interaction. Finally, Chapter 5 is concerned with two monotonicity properties of the three state contact process.
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Chan, Ming-Yan. "Video encoder complexity reduction /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202005%20CHANM.

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Toutain, Philippe. "CCSDS PACKET TELECOMMAND ENCODER." International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/608885.

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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California
The European Space Agency (ESA) decided in March, 1991 to phase out the existing telecommand standard (PSS-45) and replaces it with the new CCSDS (Consultative Committee for Space Data Systems) compatible standard, the packet telecommand standard PSS-04-107. SCHLUMBERGER Industries has developed a telecommand encoder, the TC 3900, which complies with the packet telecommand standards. It belongs to a new family of modular products using new technologies and incorporates in only one single housing of 7 units high and 19" wide, the telecommand encoder, a PSKFSK sub-carrier modem, and WAN (Wide Area Network) and LAN (Local) interfaces. The CCSDS recommendations oblige to implement new functions, which were not used with previous standards : we propose to describe what are the new services provided by the packet telecommanding and how they have been implemented in the TC 3900 encoder.
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CONN, RAYMOND, and PHILLIP BREEDLOVE. "A MISSILE INSTRUMENTATION ENCODER." International Foundation for Telemetering, 1986. http://hdl.handle.net/10150/615423.

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International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, Nevada
The modern Pulse Code Modulation (PCM) telemetry system faces many unique challenges in terms of data acquisition diversity and specifically satisfy the demanding missile requirements. The engineering considerations and hardware implementation are presented in this paper.
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Kalchbrenner, Nal. "Encoder-decoder neural networks." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:d56e48db-008b-4814-bd82-a5d612000de9.

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This thesis introduces the concept of an encoder-decoder neural network and develops architectures for the construction of such networks. Encoder-decoder neural networks are probabilistic conditional generative models of high-dimensional structured items such as natural language utterances and natural images. Encoder-decoder neural networks estimate a probability distribution over structured items belonging to a target set conditioned on structured items belonging to a source set. The distribution over structured items is factorized into a product of tractable conditional distributions over individual elements that compose the items. The networks estimate these conditional factors explicitly. We develop encoder-decoder neural networks for core tasks in natural language processing and natural image and video modelling. In Part I, we tackle the problem of sentence modelling and develop deep convolutional encoders to classify sentences; we extend these encoders to models of discourse. In Part II, we go beyond encoders to study the longstanding problem of translating from one human language to another. We lay the foundations of neural machine translation, a novel approach that views the entire translation process as a single encoder-decoder neural network. We propose a beam search procedure to search over the outputs of the decoder to produce a likely translation in the target language. Besides known recurrent decoders, we also propose a decoder architecture based solely on convolutional layers. Since the publication of these new foundations for machine translation in 2013, encoder-decoder translation models have been richly developed and have displaced traditional translation systems both in academic research and in large-scale industrial deployment. In services such as Google Translate these models process in the order of a billion translation queries a day. In Part III, we shift from the linguistic domain to the visual one to study distributions over natural images and videos. We describe two- and three- dimensional recurrent and convolutional decoder architectures and address the longstanding problem of learning a tractable distribution over high-dimensional natural images and videos, where the likely samples from the distribution are visually coherent. The empirical validation of encoder-decoder neural networks as state-of- the-art models of tasks ranging from machine translation to video prediction has a two-fold significance. On the one hand, it validates the notions of assigning probabilities to sentences or images and of learning a distribution over a natural language or a domain of natural images; it shows that a probabilistic principle of compositionality, whereby a high- dimensional item is composed from individual elements at the encoder side and whereby a corresponding item is decomposed into conditional factors over individual elements at the decoder side, is a general method for modelling cognition involving high-dimensional items; and it suggests that the relations between the elements are best learnt in an end-to-end fashion as non-linear functions in distributed space. On the other hand, the empirical success of the networks on the tasks characterizes the underlying cognitive processes themselves: a cognitive process as complex as translating from one language to another that takes a human a few seconds to perform correctly can be accurately modelled via a learnt non-linear deterministic function of distributed vectors in high-dimensional space.
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Boyd, Phillip L. "Recovery of unknown constraint length and encoder polynomials for rate 1/2 linear convolutional encoders." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA375935.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, December 1999.
"December 1999". Thesis advisor(s): Clark Robertson, Tri Ha, Ray Ramey. Includes bibliographical references (p. 79). Also available online.
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Wilson, Brian George. "5-tone ZVEI encoder analyser." Thesis, Cape Technikon, 1993. http://hdl.handle.net/20.500.11838/1141.

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Thesis (M.Diploma in Technology)--Cape Technikon, 1993
This thesis describes the development of a 5-Tone Zentral Verband Electrotechische Industrie eZVEI) Encoder Analyser. The 5-Tone ZVEI Encoder Analyser is used by the Radio Section of the Test and Metering Branch, which falls under the Electricity Department of the Cape Town City Council. It assists the Quality Assurance Technician in determining whether the 5 tone ZVEI encoder, of the radio under test, is operating within the manufacturers specifications. Various manufacturers of radio equipment tender for the supply of mobile radios fitted with ZVEI tone The Radio Section are now capable of testing encoders. all the various radios and comparing the analysed ZVEI specifications of each manufacturer's radio. The results can be used to assist management in deciding which radio would be the most suitable for purchasing. The development of the 5-Tone ZVEI Encoder Analyser involved the design and development of hardware and software. It was designed to be housed in a compact enclosure and to interface to a Motorola Communications System Analyser Model R-2001C. The RF output, from the radio under test, connects to the RF input of the Communications System Analyser. The demodulated output of the Communications System Analyser connects to the input of the 5-Tone ZVEI Encoder Analyser. The softwa~e was designed using PLM-51 high level language to p~ovide ~eal-time analysis of va~ious selective-calls (selcalls) ~eceived f~om the demodulated output of the Communications System Analyser. Once all 5 tones of the ZVEI selcall have been analysed the software background task is flagged and the analysed results a~e displayed as various MODES of display on a 16 cha~acte~ by 4 line dot matrix display. The following parameters of the ZVEI selcall a~e analysed: i) Frequency Digits. ii) Frequency fo~ each of the 5 tones. iii) Tone Duration for each of the 5 tones. iv) Frequency Error for the 5 tones. v) Tone Duration Er~or for the 5 tones. The design and development of the 5-Tone ZVEI Encode~ Analyser was conducted at the Computer Section of the Electricity Depa~tment, Cape Town City Council.
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Zhou, Chong. "Robust Auto-encoders." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-theses/393.

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In this thesis, our aim is to improve deep auto-encoders, an important topic in the deep learning area, which has shown connections to latent feature discovery models in the literature. Our model is inspired by robust principal component analysis, and we build an outlier filter on the top of basic deep auto-encoders. By adding this filter, we can split the input data X into two parts X=L+S, where the L could be better reconstructed by a deep auto-encoder and the S contains the anomalous parts of the original data X. Filtering out the anomalies increases the robustness of the standard auto-encoder, and thus we name our model ``Robust Auto-encoder'. We also propose a novel solver for the robust auto-encoder which alternatively optimizes the reconstruction cost of the deep auto-encoder and the sparsity of outlier filter in pursuit of finding the optimal solution. This solver is inspired by the Alternating Direction Method of Multipliers, Back-propagation and the Alternating Projection method, and we demonstrate the convergence properties of this algorithm and its superior performance in standard image recognition tasks. Last but not least, we apply our model to multiple domains, especially, the cyber-data analysis, where deep models are seldom currently used.
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Books on the topic "Encoder"

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Basler, Stefan. Encoder und Motor-Feedback-Systeme. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12844-9.

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Eid, Deborah. Applying coding concepts: Encoder workbook. Australia: Thomson Delmar Learning, 2008.

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Harder, Jennifer. Color Lookup for Photoshop and Adobe Media Encoder. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7353-1.

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Jet Propulsion Laboratory (U.S.), ed. A software simulation study of a (255,223) Reed-Solomon encoder/decoder. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1985.

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Raphael, David. Pulse code modulation encoder handbook for Aydin Vector MMP-900 series system. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1995.

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Raphael, David. Pulse code modulation encoder handbook for Aydin Vector MMP-900 series system. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1995.

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Raphael, David. Pulse code modulation encoder handbook for Aydin Vector MMP-900 series system. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1995.

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8

Powers, Charles E. Long-term life testing of geostationary operational environmental satellite (GOES) encoder lamps. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program, ed. Long-term life testing of geostationary operational environmental satellite (GOES) encoder lamps. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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Powers, Charles E. Long-term life testing of geostationary operational environmental satellite (GOES) encoder lamps. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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Book chapters on the topic "Encoder"

1

Weik, Martin H. "encoder." In Computer Science and Communications Dictionary, 517. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6155.

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Lin, Youn-Long Steve, Chao-Yang Kao, Huang-Chih Kuo, and Jian-Wen Chen. "CABAC Encoder." In VLSI Design for Video Coding, 125–50. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0959-6_8.

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Cameron, Neil. "Rotary Encoder." In Arduino Applied, 177–87. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3960-5_9.

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Weik, Martin H. "voice encoder." In Computer Science and Communications Dictionary, 1901. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_20897.

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Reynders, Nele, and Wim Dehaene. "JPEG Encoder." In Analog Circuits and Signal Processing, 141–70. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16136-5_6.

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Domínguez, Humberto Ochoa, and K. R. Rao. "HEVC Encoder." In Versatile Video Coding, 19–137. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339991-3.

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Weik, Martin H. "digital encoder." In Computer Science and Communications Dictionary, 409. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5023.

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Weik, Martin H. "encoder/decoder." In Computer Science and Communications Dictionary, 517. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6156.

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Weik, Martin H. "encoder-decoder." In Computer Science and Communications Dictionary, 517. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6157.

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Rossi, Mattia, Nicola Toscani, Marco Mauri, and Francesco Castelli Dezza. "Encoder Peripheral." In Introduction to Microcontroller Programming for Power Electronics Control Applications, 211–24. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003196938-14.

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Conference papers on the topic "Encoder"

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Ng, Kim-Gau, and Joey K. Parker. "A Two-Encoder Finger Position Sensing System for a Two-Degree-of-Freedom Robot Hand." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0171.

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Abstract As part of a robot hand with two independently controlled fingers each having one degree of freedom, a novel two-encoder position sensing system was designed for each of the fingers. In this system, a combination of a linear encoder and a rotary encoder is used to indicate finger position. The linear encoder provides coarse measurements while the rotary encoder provides fine measurements between two adjacent linear encoder counts. This two-encoder system permits more precise measurements than a system with only the linear encoder. The two encoders are connected to an IBM PC through an interface system. This paper presents the complete design and implementation of this two-encoder position sensing system.
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Zhang, Jinchao, Qun Liu, and Jie Zhou. "ME-MD: An Effective Framework for Neural Machine Translation with Multiple Encoders and Decoders." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/474.

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The encoder-decoder neural framework is widely employed for Neural Machine Translation (NMT) with a single encoder to represent the source sentence and a single decoder to generate target words. The translation performance heavily relies on the representation ability of the encoder and the generation ability of the decoder. To further enhance NMT, we propose to extend the original encoder-decoder framework to a novel one, which has multiple encoders and decoders (ME-MD). Through this way, multiple encoders extract more diverse features to represent the source sequence and multiple decoders capture more complicated translation knowledge. Our proposed ME-MD framework is convenient to integrate heterogeneous encoders and decoders with multiple depths and multiple types. Experiment on Chinese-English translation task shows that our ME-MD system surpasses the state-of-the-art NMT system by 2.1 BLEU points and surpasses the phrase-based Moses by 7.38 BLEU points. Our framework is general and can be applied to other sequence to sequence tasks.
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Jiang, Xiaoze, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, and Qi Wu. "DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/96.

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Visual Dialogue task requires an agent to be engaged in a conversation with human about an image. The ability of generating detailed and non-repetitive responses is crucial for the agent to achieve human-like conversation. In this paper, we propose a novel generative decoding architecture to generate high-quality responses, which moves away from decoding the whole encoded semantics towards the design that advocates both transparency and flexibility. In this architecture, word generation is decomposed into a series of attention-based information selection steps, performed by the novel recurrent Deliberation, Abandon and Memory (DAM) module. Each DAM module performs an adaptive combination of the response-level semantics captured from the encoder and the word-level semantics specifically selected for generating each word. Therefore, the responses contain more detailed and non-repetitive descriptions while maintaining the semantic accuracy. Furthermore, DAM is flexible to cooperate with existing visual dialogue encoders and adaptive to the encoder structures by constraining the information selection mode in DAM. We apply DAM to three typical encoders and verify the performance on the VisDial v1.0 dataset. Experimental results show that the proposed models achieve new state-of-the-art performance with high-quality responses. The code is available at https://github.com/JXZe/DAM.
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Xiong, Shaomin, Yuan Wang, Xiang Zhang, and David Bogy. "A Magnetic Rotary Encoder for Patterned Media Lithography." In ASME 2014 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/isps2014-6910.

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Bit patterned media (BPM) is expected to enable the magnetic storage density in hard disk drives (HDDs) beyond 1 Tb/in2. BPM uses isolated magnetic islands to record the data information. However, the large volume fabrication of those patterned media disks at an affordable cost is a challenge for this new technology. A master template is the first step for patterned media fabrication. Using nano-imprint technology, the master template can be replicated to tens of thousands of pattern disks. A rotary electron beam lithography machine or plasmonic nanolithography machine is recommended to assist in the fabrication of the master template. In both systems, a high resolution encoder system for positioning in the rotary lithography machine is necessary. In this paper, a magnetic rotary encoder system is introduced. The encoder system can be operated at several thousand revolution per minute (RPM). The scale pitch is 90 nm which is one to two orders smaller than current optical encoders. The resolution is about 2.8 million counts per revolution (CPR). A flying magnetic head is used to retrieve the readback signal from the magnetic encoders. A field programmable gate array (FPGA) is implemented to finish the high speed signal processing and provide a digital format encoder signal to trigger the lithography machine at a rate of several Mega Hertz.
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Alshuala, Mustafa. "Toward Combining Multi Seismic Attributes, A Novel Machine Learning Approach." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213320-ms.

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Abstract The objective of this study is to develop and examine a machine learning model that combines multiple seismic attributes in a way that preserves all the features of the combined attributes with, hopefully, better resolution and efficiency than the conventional seismic attributes integration method. We used the Auto- Encoder algorithm, which is a neural network method. It consists of two identical networks known as encoder and decoder. Auto-Encoder was initially developed to compress data in the encoder part, and then the same structure is used to decompress data in the decoder part. Our interest is in the output of the encoder which is the reduced version of the input. For fault and fracture detection, we examined and compared the results of Octree as a conventional multi- seismic quantization method and Auto-Encoder as a new machine learning technique. The study used five 3D volumes, one for each of the five attributes Raw Data, Skeleton, Detect, Negative Curvature 1 and Negative Curvature 3. Each 3D volume is divided into 100 slices. One slice per attribute (i.e. a set of five slices) comprise an input dataset to the encoder. The process is iterated 100 times to obtain 100 slices of encoded attributes. The result of the Auto-Encoder solution is compared with that of Octree. The Auto-Encoder accurately preserved the three faults from the input attribute images whereas Octree preserved only one fault. Additionally, the details of the fractures in the Curvature attributes are also preserved with more clarity in the Auto-Encoder solution than Octree. The machine learning technique (Auto-Encoder) preserves all the features (i.e. faults and fractures) from the combined attributes and shows better resolution than Octree. It can also combine unlimited number of attributes whereas Octree is limited to eight attributes only.
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Lam, Cedric F., Rutger B. Vrijen, Dennis T. K. Tong, Ming C. Wu, and Eli Yablonovitch. "Spectrally encoded CDMA system using Mach-Zehnder encoder chains." In Voice, Video, and Data Communications, edited by V. Michael Bove, Jr., Barbara Derryberry, Clifford R. Holliday, Louis S. Lome, Vishal Markandey, Andrew G. Tescher, and Bhaskaran Vasudev. SPIE, 1998. http://dx.doi.org/10.1117/12.300910.

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Zhang, Liang, Zijun Min, Jinsong Su, Pei Yu, Ante Wang, and Yidong Chen. "Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/586.

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In document-level relation extraction (RE), the models are required to correctly predict implicit relations in documents via relational reasoning. To this end, many graph-based methods have been proposed for this task. Despite their success, these methods still suffer from several drawbacks: 1) their interaction between document encoder and graph encoder is usually unidirectional and insufficient; 2) their graph encoders often fail to capture the global context of nodes in document graph. In this paper, we propose a document-level RE model with a Graph-Transformer Network (GTN). The GTN includes two core sublayers: 1) the graph-attention sublayer that simultaneously models global and local contexts of nodes in the document graph; 2) the cross-attention sublayer, enabling GTN to capture the non-entity clue information from the document encoder. Furthermore, we introduce two auxiliary training tasks to enhance the bidirectional semantic interaction between the document encoder and GTN: 1) the graph node reconstruction that can effectively train our cross-attention sublayer to enhance the semantic transition from the document encoder to GTN; 2) the structure-aware adversarial knowledge distillation, by which we can effectively transfer the structural information of GTN to the document encoder. Experimental results on four benchmark datasets prove the effectiveness of our model. Our source code is available at https://github.com/DeepLearnXMU/DocRE-BSI.
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Lichty, Patrick. "Encoder Study." In ACM SIGGRAPH 2004 Art gallery. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1185884.1185942.

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Deng, Xi, Shasha Li, Jie Yu, Jun Ma, Bin Ji, Wuhang Lin, Shezheng Song, and Zibo Yi. "A Modular Hierarchical Model for Paper Quality Evaluation." In 9th International Conference on Artificial Intelligence. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130702.

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Paper quality evaluation is of great significance as it helps to select high quality papers from the massive amount of academic papers. However, existing models needs improvement on the interaction and aggregation of the hierarchical structure. These models also ignore the guiding role of the title and abstract in the paper text. To address above two issues, we propose a well-designed modular hierarchical model (MHM) for paper quality evaluation. Firstly, the input to our model is most of the paper text, and no additional information is needed. Secondly, we fully exploit the inherent hierarchy of the text with three encoders with attention mechanisms: a word-to-sentence(WtoS) encoder, a sentence-to-paragraph(StoP) encoder, and a paper encoder. Specifically, the WtoS encoder uses the pre-trained language model SciBERT to obtain the sentence representation from the word representation. The StoP encoder lets sentences in the same paragraph interact and aggregates them to get paragraph embeddings based on importance scores. The paper encoder does interaction among different hierarchical structures of three modules of a paper text: the paper title, abstract sentences, and body paragraphs. Then this encoder aggregates new representations generated into a compact vector. In addition, the paper encoder models the guiding role of the title and abstract, respectively, generating another two compact vectors. We concatenate the above three compact vectors and additional four manual features to obtain the paper representation. This representation is then fed into a classifier to obtain the acceptance decision, which is a proxy for papers’ quality. Experimental results on a large-scale dataset built by ourselves show that our model consistently outperforms the previous strong baselines in four evaluation metrics. Quantitative and qualitative analyses further validate the superiority of our model.
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Bülau, André, J. Seybold, K. P. Fritz, A. Frank, C. Scherjon, J. Burghartz, and A. Zimmermann. "Miniaturized Optical Encoder with Micro Structured Encoder Disk." In WCMNM 2018 World Congress on Micro and Nano Manufacturing. Singapore: Research Publishing Services, 2018. http://dx.doi.org/10.3850/978-981-11-2728-1_28.

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Reports on the topic "Encoder"

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LeBlanc, R. TA566A Power Controller/Encoder: SANDUS. Office of Scientific and Technical Information (OSTI), August 1987. http://dx.doi.org/10.2172/6221825.

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Moran, Thomas M., David A. Heide, Yvette T. Lee, and George S. Kang. Variable Data Rate Voice Encoder to Narrowband and Wideband Speech. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada464664.

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Brunet, Luc. Symbolic formulation: an encoder for formulations focused on deep autoencoders. Github, December 2021. http://dx.doi.org/10.17601/rdmediation.2021.2.

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Green, Andre. LUNA Condition-Based Monitoring Update: Mahalanobis, SVD, and Auto-Encoder Comparison. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1782605.

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Frey, Michael R. Information Capacity of the Poisson Channel with Mean-Square-Constrained Encoder Intensity. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada235544.

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Yee, Kenneth W. Alternative designs of a real-time error connector for machine-tools with encoder position feedback. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4832.

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Shu, Deming. Development of a laser Doppler displacement encoder system with ultra-low-noise-level for linear displacement measurement with subnanometer resolution - Final CRADA Report. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1334289.

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Patwa, B., P. L. St-Charles, G. Bellefleur, and B. Rousseau. Predictive models for first arrivals on seismic reflection data, Manitoba, New Brunswick, and Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329758.

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First arrivals are the primary waves picked and analyzed by seismologists to infer properties of the subsurface. Here we try to solve a problem in a small subsection of the seismic processing workflow: first break picking of seismic reflection data. We formulate this problem as an image segmentation task. Data is preprocessed, cleaned from outliers and extrapolated to make the training of deep learning models feasible. We use Fully Convolutional Networks (specifically UNets) to train initial models and explore their performance with losses, layer depths, and the number of classes. We propose to use residual connections to improve each UNet block and residual paths to solve the semantic gap between UNet encoder and decoder which improves the performance of the model. Adding spatial information as an extra channel helped increase the RMSE performance of the first break predictions. Other techniques like data augmentation, multitask loss, and normalization methods, were further explored to evaluate model improvement.
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Marleau, Peter, and Erik Brubaker. Time-Encoded Imagers. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1164249.

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Marleau, Peter, Erik Brubaker, James S. Brennan, and Aaron Nowack. Time-Encoded Imagers. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1172774.

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