Relevant bibliographies by topics / Binary output system

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

Academic literature on the topic 'Binary output system'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Binary output system"

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Anashin, Vladimir. "Discreteness causes waves." Facta universitatis - series: Physics, Chemistry and Technology 14, no. 3 (2016): 143–96. http://dx.doi.org/10.2298/fupct1603143a.

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In the paper, we show that matter waves can be derived from discreteness and causality. Namely we show that matter waves can naturally be ascribed to finite discrete causal systems, the Mealy automata having binary input/output which are bit sequences. If assign real numerical values (?measured quantities?) to bit sequences, the waves arise as a correspondence between the numerical values of input sequences (?impacts?) and output sequences (?system-evoked responses?). We show that among all discrete causal systems with arbitrary (not necessarily binary) inputs/outputs, only the ones with binar
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PÉREZ ARCILA, MAURICIO, and MARTIN ALONSO TAMAYO VELEZ. "IMPLEMENTATION OF LEBESGUE SAMPLING METHOD AND DIGITAL SENSORS FOR CONTROLLING THE LEVEL VARIABLE IN A CONTINUOUS SYSTEM." DYNA NEW TECHNOLOGIES 8, no. 1 (2021): [14 P.]. http://dx.doi.org/10.6036/nt10248.

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This study aims to show that the continuous control from a level system can be efficiently measured and controlled using capacitive digital binary sensors, which in this case, replace the measurement signal from an analog differential pressure transmitter in a level control system. The binary sensors low cost and the digital output they process allow the reproduction of a correct signal and the estimation of a variable for controlling the water level inside the process tank through a proportional pneumatic level control valve, which receives the control signal from the Lebesgue sampling estima
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Gurevich, Yuri, and Saharon Shelah. "Time polynomial in input or output." Journal of Symbolic Logic 54, no. 3 (1989): 1083–88. http://dx.doi.org/10.2307/2274767.

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AbstractWe introduce the class PIO of functions computable in time that is polynomial in max {the length of input, the length of output}, observe that there is no notation system for total PIO functions but there are notation systems for partial PIO functions, and give an algebra of partial PIO functions from binary strings to binary strings.
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Fateh, Rachid, Hicham Oualla, Es-said Azougaghe, et al. "Machine Learning Based System Identification with Binary Output Data Using Kernel Methods." Journal of Telecommunications and Information Technology, no. 1 (February 12, 2024): 17–25. http://dx.doi.org/10.26636/jtit.2024.1.1430.

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Within the realm of machine learning, kernel methods stand out as a prominent class of algorithms with widespread applications, including but not limited to classification, regression, and identification tasks. Our paper addresses the challenging problem of identifying the finite impulse response (FIR) of single-input single-output nonlinear systems under the influence of perturbations and binary-valued measurements. To overcome this challenge, we exploit two algorithms that leverage the framework of reproducing kernel Hilbert spaces (RKHS) to accurately identify the impulse response of the Pr
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Oualla, Hicham, Mathieu Pouliquen, Miloud Frikel, and Said Safi. "Recursive identification of IIR system using binary input/output measurements." International Journal of Modelling, Identification and Control 40, no. 4 (2022): 327. http://dx.doi.org/10.1504/ijmic.2022.125549.

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Safi, Said, Miloud Frikel, Hicham Oualla, and Mathieu Pouliquen. "Recursive identification of IIR system using binary input/output measurements." International Journal of Modelling, Identification and Control 40, no. 4 (2022): 327. http://dx.doi.org/10.1504/ijmic.2022.10050542.

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Zlateva, P. "Output stabilization of fermentation processes: A binary control system approach." Bioprocess Engineering 23, no. 1 (2000): 81–87. http://dx.doi.org/10.1007/s004499900127.

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Luo, Chao, Jun Zhao, Yulie Gong, Yongzhen Wang, and Weibin Ma. "Energy efficiency comparison between geothermal power systems." Thermal Science 21, no. 6 Part A (2017): 2633–42. http://dx.doi.org/10.2298/tsci151225074l.

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The geothermal water which can be considered for generating electricity with the temperature ranging from 80? to 150? in China because of shortage of electricity and fossil energy. There are four basic types of geothermal power systems: single flash, double flash, binary cycle, and flash-binary system, which can be adapted to geothermal energy utilization in China. The paper discussed the performance indices and applicable conditions of different power system. Based on physical and mathematical models, simulation result shows that, when geofluid temperature ranges from 100? to 130?, the net po
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Collins, R., J. Pemberton, S. J. D. Phoenix, and J. A. D. Matthew. "Output velocity distribution of a Langevin system with random binary input." European Journal of Physics 9, no. 4 (1988): 312–18. http://dx.doi.org/10.1088/0143-0807/9/4/013.

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Janusz, Łukowski. "Logical description of a combinational system by the binary representation method." Studies and Materials in Applied Computer Science (ISSN 1689-6300) 11, no. 1 (2020): 10–12. https://doi.org/10.5281/zenodo.4321147.

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The article presents a new method for simplifying the logical description of a combinational system using truth tables of basic logic functors or / and binary representation of an input combination. The binary representation method is an alternative way of constructing a simplified description of the output function of a combinational system in relation to the method of formal transformations, the Karnaugh table or the Quine-McCluskey methods.
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Dissertations / Theses on the topic "Binary output system"

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Oualla, Hicham. "Contributions à l'identification en boucle ouverte/fermée des systèmes à base de données binaires." Electronic Thesis or Diss., Normandie, 2022. http://www.theses.fr/2022NORMC229.

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Cette thèse est consacrée à l'identification des systèmes à base de données binaires. Dans un premier temps, une présentation succincte de l'ensemble des méthodes d'identification des systèmes basé sur l'utilisation des données binaires existant dans la littérature est donnée. Dans la suite nous nous sommes intéressé au problème d'identification en boucle ouverte des systèmes à sortie et entrée binaires. Nous proposons des méthodes permettant l'identification des systèmes RIF et plus complexes les RII ayant une entrée et sortie binaires. Ces méthodes sont analysées et testées par des exemples
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Mestrah, Ali. "Identification de modèles sous forme de représentation d'état pour les systèmes à sortie binaire." Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMC255.

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Cette thèse porte sur la modélisation paramétrique des systèmes linéaires invariants à partir de mesures binaires de la sortie. Ce problème demodélisation est abordée via l’usage des méthodes des sous-espaces. Ces méthodes permettent l’estimation de modèles sous forme de représentation d’état,un des avantages de ces méthodes étant que leur mise en œuvre ne nécessite pas la connaissance préalable de l’ordre du système. Ces méthodes ne sontinitialement pas adaptées au traitement de données binaires, l’objectif de cette thèse est ainsi leur adaptation à ce contexte d’identification. Dans cette th
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(11184744), Vinayak Suresh. "BINARY FEEDBACK IN COMMUNICATION SYSTEMS: BEAM ALIGNMENT, ADVERSARIES AND ENCODING." Thesis, 2021.

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The availability of feedback from the receiver to the transmitter in a communication system can play a significant role. In this dissertation, our focus is specifically on binary or one-bit feedback. First, we study the problem of successive beam alignment for millimeter-wave channels where the receiver sends back only one-bit of information per beam sounding. The sparse nature of the channel allows us to interpret channel sounding as a form of questioning. By posing the alignment problem as a questioning strategy, we describe adaptive (closed-loop) and non-adaptive (open-loop) channel soundin
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Books on the topic "Binary output system"

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Hoste, Eric A. J., John A. Kellum, and Norbert Lameire. Definitions, classification, epidemiology, and risk factors of acute kidney injury. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0220_update_001.

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The lack of a precise biochemical definition of acute kidney injury (AKI) resulted in at least 35 definitions in the medical literature, which gave rise to a wide variation in reported incidence and clinical significance of AKI, impeded a meaningful comparison of studies.The first part of this chapter describes and discusses different definitions and classification systems of AKI. Patient outcome and the need for renal replacement therapy are directly related to the severity of AKI, an observation that supports the use of a categorical staging system rather than a simple binary descriptor. The
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Book chapters on the topic "Binary output system"

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Schirmer, Pascal A., and Iosif Mporas. "Binary versus Multiclass Deep Learning Modelling in Energy Disaggregation." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_6.

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AbstractThis paper compares two different deep-learning architectures for the use in energy disaggregation and Non-Intrusive Load Monitoring. Non-Intrusive Load Monitoring breaks down the aggregated energy consumption into individual appliance consumptions, thus detecting device operation. In detail, the “One versus All” approach, where one deep neural network per appliance is trained, and the “Multi-Output” approach, where the number of output nodes is equal to the number of appliances, are compared to each other. Evaluation is done on a state-of-the-art baseline system using standard perform
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Fateh, Rachid, Hicham Oualla, Es-said Azougaghe, et al. "Kernel Adaptive Filters for Machine Learning-Based System Identification with Binary Output Data." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93448-3_2.

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Lin, Yi, Lucas M. Tabajara, and Moshe Y. Vardi. "ZDD Boolean Synthesis." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99524-9_4.

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AbstractMotivated by applications in boolean-circuit design, boolean synthesis is the process of synthesizing a boolean function with multiple outputs, given a relation between its inputs and outputs. Previous work has attempted to solve boolean functional synthesis by converting a specification formula into a Binary Decision Diagram (BDD) and quantifying existentially the output variables. We make use of the fact that the specification is usually given in the form of a Conjunctive Normal Form (CNF) formula, and we can perform resolution on a symbolic representation of a CNF formula in the for
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Babu, Hafiz Md Hasan. "Multiple-Valued Input Binary-Valued Output Functions." In VLSI Circuits and Embedded Systems. CRC Press, 2022. http://dx.doi.org/10.1201/9781003269182-11.

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Jacobs, Swen, and Mouhammad Sakr. "AIGEN: Random Generation of Symbolic Transition Systems." In Computer Aided Verification. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81688-9_20.

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AbstractAIGEN is an open source tool for the generation of transition systems in a symbolic representation. To ensure diversity, it employs a uniform random sampling over the space of all Boolean functions with a given number of variables. AIGEN relies on reduced ordered binary decision diagrams (ROBDDs) and canonical disjunctive normal form (CDNF) as canonical representations that allow us to enumerate Boolean functions, in the former case with an encoding that is inspired by data structures used to implement ROBDDs. Several parameters allow the user to restrict generation to Boolean function
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Khellat-Kihel, Souad, Zhenan Sun, and Massimo Tistarelli. "An Hybrid Attention-Based System for the Prediction of Facial Attributes." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_9.

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AbstractRecent research on face analysis has demonstrated the richness of information embedded in feature vectors extracted from a deep convolutional neural network. Even though deep learning achieved a very high performance on several challenging visual tasks, such as determining the identity, age, gender and race, it still lacks a well grounded theory which allows to properly understand the processes taking place inside the network layers. Therefore, most of the underlying processes are unknown and not easy to control. On the other hand, the human visual system follows a well understood proc
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Bromberger, Martin, Irina Dragoste, Rasha Faqeh, et al. "A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99524-9_27.

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AbstractIn a previous paper, we have shown that clause sets belonging to the Horn Bernays-Schönfinkel fragment over simple linear real arithmetic (HBS(SLR)) can be translated into HBS clause sets over a finite set of first-order constants. The translation preserves validity and satisfiability and it is still applicable if we extend our input with positive universally or existentially quantified verification conditions (conjectures). We call this translation a Datalog hammer. The combination of its implementation in SPASS-SPL with the Datalog reasoner VLog establishes an effective way of decidi
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Pete, Biggs. "Interfacing computers to experiments." In Computers in Chemistry. Oxford University Press, 2000. http://dx.doi.org/10.1093/hesc/9780198504467.003.0003.

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This chapter introduces techniques on getting experimental information into a computer and causing a computer to control the experiment. It explains that an analogue to digital converter (ADC) is a device that is used to measure voltage, while the digital to analogue converter (DAC) is a device used to generate a specific voltage. It also describes the output of an ADC in a computer system. This is designed to reflect one or more memory locations on the microprocessor bus. The chapter discusses the parallel input and output (PIO) device, which allows a single bit or group of bits to be output
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Zoppi, Tommaso, Andrea Ceccarelli, and Andrea Bondavalli. "Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230635.

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Machine Learning (ML) algorithms that perform classification may predict the wrong class, experiencing misclassifications. It is well-known that misclassifications may have cascading effects on the encompassing system, possibly resulting in critical failures. This paper proposes SPROUT, a Safety wraPper thROugh ensembles of UncertainTy measures, which suspects misclassifications by computing uncertainty measures on the inputs and outputs of a black-box classifier. If a misclassification is detected, SPROUT blocks the propagation of the output of the classifier to the encompassing system. The r
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Gharehbaghi Arash, Lindén Maria, and Babic Ankica. "A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods." In Studies in Health Technology and Informatics. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-753-5-43.

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This paper proposes a decision support system for screening pediatric cardiac disease in primary healthcare centres relying on the heart sound time series analysis. The proposed system employs our processing method which is based on the hidden Markov model for extracting appropriate information from the time series. The binary output resulting from the method is discriminative for the two classes of time series existing in our databank, corresponding to the children with heart disease and the healthy ones. A total 90 children referrals to a university hospital, constituting of 55 healthy and 3
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Conference papers on the topic "Binary output system"

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Kumar, Santosh, and Ayan Palchaudhuri. "Leveraging Dual Output LUTs with Pipelining for Efficient BCD to Binary Converter on FPGA." In 2025 38th International Conference on VLSI Design and 2025 24th International Conference on Embedded Systems (VLSID). IEEE, 2025. https://doi.org/10.1109/vlsid64188.2025.00097.

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Oualla, Hicham, Mathieu Pouliquen, Miloud Frikel, Said Safi, and Tristan Bonargent. "Spectral Analysis for System Identification from Input/Output Binary Measurements." In 2020 European Control Conference (ECC). IEEE, 2020. http://dx.doi.org/10.23919/ecc51009.2020.9143871.

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Kim, Myung Soo, and Clark C. Guest. "Opto-neural system for pattern classification." In OSA Annual Meeting. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.mjj3.

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An optoneural system, which is a combination of an optical processor and a neural network, is developed for pattern classification. The system takes advantages of the two-dimensional processing capability of optics and the mapping capability of neural networks. The optical processor consists of a binary phase-only filter, and the neural network consists of three nonlinear mapping layers: the input layer, a hidden layer, and the output layer. Correlation outputs of the optical processor are used as inputs to the neural network. Binary phase in the binary phase-only filter and weights of the neu
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You, Keyou, Erik Weyer, and Girish Nair. "Identification of a gain system with binary input and output measurements." In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015. http://dx.doi.org/10.1109/cdc.2015.7402576.

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Lohmann, Adolf W., and Jorge Ojeda Castaneda. "Trading one dimension for binary simplicity." In OSA Annual Meeting. Optica Publishing Group, 1993. http://dx.doi.org/10.1364/oam.1993.wqq.1.

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Yang, Guoguang, and Seth Broomfield. "Programmable Wavefront Generation with Two Binary Phase Spatial Light Modulators." In Diffractive Optics and Micro-Optics. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/domo.1996.jtuc.5.

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In this paper we propose a programmable wavefront generation system using two binary phase spatial light modulators (BPSLMs). The output of the binary phase hologram has inversion symmetry and is restricted to be space–invariant, if the output of the hologram is viewed in the Fourier plane of a lens. Inversion symmetry may be broken by introducing a fixed binary phase hologram [1,2] but in this case diffraction efficiency ηd is not increased. Alternatively, an asymmetric output may be generated by increasing the number of phase levels [3]. Results obtained in this way increase ηd but the outpu
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Patkar, Niteen A., Thomas F. Krile, and John F. Walkup. "Digital Optical Multiplication by Color Multiplexing." In Optical Computing. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/optcomp.1985.tuf1.

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A system is described which performs the multiplication of two binary numbers in a highly parallel fashion. The number of output levels is kept to a maximum of three. The required logical AND operation is performed using a 2-bits-at-a-time approach. A scheme is also presented for performing the conversion of mixed binary numbers to binary numbers. As the maximum number of output levels is restricted to three, the system's noise immunity is high.
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Neuhäuser, Karl, and Rudibert King. "Robust Active Flow Control of a Stator Cascade With Integer Control Functions and Sum-Up Rounding." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91249.

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Abstract This work is part of a research initiative that aims at increasing the overall gas turbine efficiency by means of constant volume combustion (CVC). For that purpose, flow control in the compressor becomes important, since unsteady combustion effects that may occur in a CVC are very likely to affect stability and efficiency of the compressor negatively due to flow disturbances. Active Flow Control (AFC) often has to deal with uncertain flow conditions, e.g., due to turbulence, varying operating ranges, or simply environmental effects. By that, system parameters such as gain or time con
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Oualla, Hicham, Mathieu Pouliquen, Miloud Frikel, Said Safi, and Ali Mestrah. "Closed-loop system parametric identification based on binary measurement on the input and the output." In 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2022. http://dx.doi.org/10.1109/codit55151.2022.9803966.

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Karim, M. A., A. A. S. Awwal, and U. Dayton. "Programmable logic array design using polarization-encoded optical shadow-casting." In OSA Annual Meeting. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.thi6.

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An efficient optical computing system may involve the use of a programmable logic array (PLA) where only on outputs are stored in locations addressable by the inputs. The lensless optical shadow-casting (OSC) system1 using LEDs provides an easier and reliable means to generate logic operations. This scheme has been recently extended2,3 to include polarized sources, masks, and encoding codes, thus increasing the design flexibility. In an OSC, each LED produces a shadow of the input overlap pattern, which along with the other similarly produced shadows give an output overlap pattern which is sub
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Reports on the topic "Binary output system"

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Yang, Yu, Hen-Geul Yeh, and Bryan Aguirre. Fuel Cell System Development for Heavy Duty Vehicles. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2441.

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As California advances its ambitious goals for transportation electrification to combat climate change, hydrogen-powered fuel cells are emerging as a viable solution for overcoming the challenges of heavy-duty vehicles, offering an efficient alternative to lithium-ion batteries because they produce minimal chemical, thermal, and carbon emissions. One type of hydrogen fuel cell technology called proton exchange membrane fuel cells (PEMFCs) has garnered the most attention due to its distinct advantages, including relatively low operating temperatures (60–80 °C) and reliable performance at high c
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Farhi, Edward, and Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.

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We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network’s predictor of the binary label of the input state. We show through classical simulation that parameters can be found that allow the QNN to learn to correctly distinguish the two data sets. W
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