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Journal articles on the topic 'Binary output'

Author: Grafiati

Published: 13 April 2024

Last updated: 31 July 2025

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1

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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Agarwal, Ishani, Miroslav Saraivanov, and Marek Perkowski. "Synthesis of binary-input multi-valued output optical cascades." Quantum Information & Computation 24, no. 15&16 (2024): 1283–312. https://doi.org/10.26421/qic24.15-16-2.

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This paper extends the decomposition from the group theory based methods of Sasao and Saraivanov to design binary input multivalued output quantum cascades realized with optical NOT, SWAP, and Fredkin Gates. We present this method for 3, 5, and 7-valued outputs, but in general it can be used for odd prime-valued outputs. The method can be extended to realize hybrid functions with different valued outputs. A class of local transformations is presented that can simplify the final cascade circuits. Using these simplifying transformations, we present an upper bound on the maximum number of gates i

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Moreno, E. G., B. Iniguez, M. Roca, J. Segura, and S. Sureda. "CMOS radiation sensor with binary output." IEEE Transactions on Nuclear Science 42, no. 3 (1995): 174–78. http://dx.doi.org/10.1109/23.387358.

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Yang, Sibo, Shusheng Wang, Lanyin Sun, Zhongxuan Luo, and Yuan Bao. "Output Layer Structure Optimization for Weighted Regularized Extreme Learning Machine Based on Binary Method." Symmetry 15, no. 1 (2023): 244. http://dx.doi.org/10.3390/sym15010244.

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In this paper, we focus on the redesign of the output layer for the weighted regularized extreme learning machine (WRELM). For multi-classification problems, the conventional method of the output layer setting, named “one-hot method”, is as follows: Let the class of samples be r; then, the output layer node number is r and the ideal output of s-th class is denoted by the s-th unit vector in Rr (1≤s≤r). Here, in this article, we propose a “binarymethod” to optimize the output layer structure: Let 2p−1<r≤2p, where p≥2, and p output nodes are utilized and, simultaneously, the ideal outputs are

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Ren, Xiao Guang, Yu Hua Tang, and Xin Hai Xu. "Format Optimization for Periodical Snapshot Output in CFD Simulation." Applied Mechanics and Materials 457-458 (October 2013): 910–18. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.910.

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Computational Fluid Dynamics (CFD) simulation often needs to periodically output the intermediate results to files in the form of snapshots for visualization or restart, which seriously impacts the performance. Traditional CFD simulation takes ASCII format with typesetting in the snapshot output process, which results in precision loss of the data in the snapshot array and more storage space occupancy than the original binary format. In this paper, we propose the binary non-typesetting format optimization for the snapshot output in CFD simulation, aiming at eliminating the impact of ASCII form

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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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Xue, Aijun, and Xiaodan Wang. "Cost-sensitive design of error correcting output codes." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, no. 10 (2017): 1871–81. http://dx.doi.org/10.1177/0954406217709303.

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Many real world applications involve multiclass cost-sensitive learning problems. However, some well-worked binary cost-sensitive learning algorithms cannot be extended into multiclass cost-sensitive learning directly. It is meaningful to decompose the complex multiclass cost-sensitive classification problem into a series of binary cost-sensitive classification problems. So, in this paper we propose an alternative and efficient decomposition framework, using the original error correcting output codes. The main problem in our framework is how to evaluate the binary costs for each binary cost-se

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Yum, Bong-Jin, and Seong-Jun Kim. "On parameter design of binary-input-and-binary-output dynamic systems." Quality and Reliability Engineering International 9, no. 6 (1993): 471–76. http://dx.doi.org/10.1002/qre.4680090603.

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Ram, L. Adithya, V. Ajay Kumar, H. Karthik, and Sudhir Dakey. "Analysis of 1-bit Full Adders in Cadence 45nm Technology." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 5836–44. http://dx.doi.org/10.22214/ijraset.2024.62995.

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Abstract: A full adder is a digital circuit that performs the arithmetic operation of addition on three binary digits, producing a sum and a carry output. Unlike a half adder, which adds only two binary digits and produces a sum and carry, a full adder considers an additional carry input from a previous less significant bit addition. The full adder's design includes three inputs: A, B, and Cin (carry-in), and two outputs: Sum (sum) and Cout (carry-out). The sum output Sum is derived by XOR-ing the three inputs, while the carry-out Cout is obtained by considering the majority function of the in

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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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Rahmadhany, Sri. "IDENTIFIKASI POLA KARAKTER ANAK DENGAN ALGORITMA PERCEPTRON." JURNAL TEKNOLOGI INFORMASI 3, no. 1 (2019): 86. http://dx.doi.org/10.36294/jurti.v3i1.695.

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Abstract - Artificial Neural Network is a computational method that works like a human brain. The Perceptron algorithm is one method that exists in Artificial Neural Networks. The research carried out was the identification of children's character patterns using the Perceptron algorithm. The Perceptron algorithm is very reliable in recognizing patterns, one of which is the child's character pattern as was done in this study. The Perceptron algorithm identifies the character patterns of children through three inputs and two outputs. The three outputs are taken from nature variables, attitude va

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Silva, Carla, Ana Aguiar, and Inês Dutra. "Quantum Binary Classification (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 15889–90. http://dx.doi.org/10.1609/aaai.v35i18.17941.

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We implement a quantum binary classifier where given a dataset of pairs of training inputs and target outputs our goal is to predict the output of a new input. The script is based in a hybrid scheme inspired in an existing PennyLane's variational classifier and to encode the classical data we resort to PennyLane's amplitude encoding embedding template. We use the quantum binary classifier applied to the well known Iris dataset and to a car traffic dataset. Our results show that the quantum approach is capable of performing the task using as few as 2 qubits. Accuracies are similar to other quan

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Gómez, Sergio, David Sánchez, Joan Mauricio, et al. "Multiple Use SiPM Integrated Circuit (MUSIC) for Large Area and High Performance Sensors." Electronics 10, no. 8 (2021): 961. http://dx.doi.org/10.3390/electronics10080961.

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The 8-channel Multiple Use Silicon Photo-multiplier (SiPM) Integrated Circuit (MUSIC) Application specific integrated circuit (ASIC) for SiPM anode readout has been designed for applications where large photo-detection areas are required. MUSIC offers three main features: (1) Sum of the eight input channels using a differential output driver, (2) eight individual single ended (SE) analog outputs, and (3) eight individual SE binary outputs using a time over threshold technique. Each functionality, summation and individual readout includes a selectable dual-gain configuration. Moreover, the sign

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Li, Guo He, Xiang Yue, Wei Jiang Wu, and Jiang Hui Zhao. "Method of Mathematical Modeling Based on PSO Algorithms." Applied Mechanics and Materials 347-350 (August 2013): 2447–51. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2447.

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In order to set up universal and non-linear map of variables, a full binary tree is constructed as mathematical model. Leaf nodes of the full binary tree are linear combination of input variables, and used as inputs of next nodes. On the basis of weighting two inputs by selector for inner node, the inputs are again linearly combined and used as output for next node. The inputs and outputs of all the inner nodes are constructed in turn as the same, and the output of root node is the output of mathematical model, implementing segment-linear approximation. With the means of machine learning of pa

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Bansal, Abhishek, and Vinay Kumar. "Steganography Technique Inspired by Rook." International Journal of Information Security and Privacy 15, no. 2 (2021): 53–67. http://dx.doi.org/10.4018/ijisp.2021040103.

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A steganographic technique inspired by rook is presented in this paper to ensure privacy and secrecy. In this approach, the cover image is partitioned into n × 1 pixel blocks and converted equivalent n × 8 binary bit planes. Then the functional output of each block is calculated on the basis of the number of rook positions, which are attacked by opponent rooks. The rook is a chess piece that moves only forward and backward in a straight line. In binary bit plane, 0 and 1 are considered as a black and white opponent rook, respectively. The secret information is considered as stream of binary bi

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Zhao, Yujie, Zhanyong Tang, Guixin Ye, Xiaoqing Gong, and Dingyi Fang. "Input-Output Example-Guided Data Deobfuscation on Binary." Security and Communication Networks 2021 (December 13, 2021): 1–16. http://dx.doi.org/10.1155/2021/4646048.

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Data obfuscation is usually used by malicious software to avoid detection and reverse analysis. When analyzing the malware, such obfuscations have to be removed to restore the program into an easier understandable form (deobfuscation). The deobfuscation based on program synthesis provides a good solution for treating the target program as a black box. Thus, deobfuscation becomes a problem of finding the shortest instruction sequence to synthesize a program with the same input-output behavior as the target program. Existing work has two limitations: assuming that obfuscated code snippets in the

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Pouliquen, Mathieu, Eric Pigeon, Olivier Gehan, Abdelhak Goudjil, and Romain Auber. "Impulse response identification from input/output binary measurements." Automatica 123 (January 2021): 109307. http://dx.doi.org/10.1016/j.automatica.2020.109307.

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Koggersbøl, A., T. R. Andersen, J. Bagterp, and S. B. Jørgensen. "An output multiplicity in binary distillation: Experimental verification." Computers & Chemical Engineering 20 (January 1996): S835—S840. http://dx.doi.org/10.1016/0098-1354(96)00147-0.

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Hyde, Brett. "The odd-parity input problem in metrical stress theory." Phonology 29, no. 3 (2012): 383–431. http://dx.doi.org/10.1017/s0952675712000218.

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Under the weak layering approach to prosodic structure (Itô & Mester 1992), the requirement that output forms be exhaustively parsed into binary feet, even when the input contains an odd-number of syllables, results in the odd-parity input problem, which consists of two sub-problems. The odd heavy problem is a pathological type of quantity-sensitivity where a single odd-numbered heavy syllable in an odd-parity output is parsed as a monosyllabic foot. The even output problem is the systematic conversion of odd-parity inputs to even-parity outputs. The article examines the typology of binary

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Roncallo, Simone, Xi Lu, and Lorenzo Maccone. "Interferometric binary phase estimations." Quantum 9 (April 18, 2025): 1713. https://doi.org/10.22331/q-2025-04-18-1713.

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We propose an interferometric scheme where each photon returns one bit of the binary expansion of an unknown phase. It sets up a method for estimating the phase value at arbitrary uncertainty. This strategy is global, since it requires no prior information, and it achieves the Heisenberg bound independently of the output statistics. We provide simulations and a characterization of this architecture.

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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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Vieira, M. A., M. Vieira, V. Silva, P. Louro, and M. Barata. "Optoelectronic logic functions using optical bias controlled SiC multilayer devices." MRS Proceedings 1536 (2013): 91–96. http://dx.doi.org/10.1557/opl.2013.703.

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ABSTRACTThe purpose of this paper is the design of simple combinational optoelectronic circuit based on SiC technology, able to act simultaneously as a 4-bit binary encoder or a binary decoder in a 4-to-16 line configurations. The 4-bit binary encoder takes all the data inputs, one by one, and converts them to a single encoded output. The binary decoder decodes a binary input pattern to a decimal output code.The optoelectronic circuit is realized using a a-SiC:H double pin/pin photodetector with two front and back optical gates activated trough steady state violet background. Four red, green,

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Opanasenko, V. M., and S. L. Kryvyi. "Synthesis multilevel structure with multiple output." PROBLEMS IN PROGRAMMING, no. 2-3 (June 2016): 048–62. http://dx.doi.org/10.15407/pp2016.02-03.048.

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The method for solution of adaptation problem of the logical network with many outputs for the restoration of the input set of binary vectors when given only the lower values of this set and the values of the outputs is considered. The algorithm synthesis of the logical network is based on the description of its polynomial Zhegalkin.

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Andrew, L. L. H. "Binary output of cellular neural networks with smooth activation." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 44, no. 9 (1997): 821–24. http://dx.doi.org/10.1109/81.622985.

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Binshtok, N., and S. Shamai. "Integer metrics for binary input symmetric output memoryless channels." IEEE Transactions on Communications 47, no. 11 (1999): 1636–45. http://dx.doi.org/10.1109/26.803498.

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Mostari, Latifa, Abdelmalik Taleb-Ahmed, and Abdennacer Bounoua. "Simplified soft output demapper for non-binary LDPC codes." Optik 126, no. 24 (2015): 5074–76. http://dx.doi.org/10.1016/j.ijleo.2015.09.210.

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Mun, Ye-Ji, and Je-Won Kang. "Ensemble of Random Binary Output Encoding for Adversarial Robustness." IEEE Access 7 (2019): 124632–40. http://dx.doi.org/10.1109/access.2019.2937604.

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Badade, Meena, and T. V. Ramanathan. "Probabilistic frontier regression models for binary type output data." Journal of Applied Statistics 46, no. 13 (2019): 2460–80. http://dx.doi.org/10.1080/02664763.2019.1597838.

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Zhao, Yanlong, Le Yi Wang, G. George Yin, and Ji-Feng Zhang. "Identification of Wiener systems with binary-valued output observations." Automatica 43, no. 10 (2007): 1752–65. http://dx.doi.org/10.1016/j.automatica.2007.03.006.

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Loskot, Pavel, and Norman C. Beaulieu. "The input–output weight enumeration of binary Hamming codes." European Transactions on Telecommunications 17, no. 4 (2006): 483–88. http://dx.doi.org/10.1002/ett.1133.

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Mandal, Dhoumendra, Sumana Mandal, Mrinal Kanti Mandal, and Sisir Kumar Garai. "Alternative Approach of Developing Optical Binary Adder Using Reversible Peres Gates." International Journal of Optics 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/8541371.

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All-optical devices will play a very significant and crucial role in the modern all-optical network by eliminating the bottleneck of opto-electro-opto- (O-E-O-) conversion. Unfortunately, the conventional logic gates lose information at the output, and the states of the outputs cannot give any credible impressions of the states of the inputs. In this article, at first, the authors have proposed a method of designing an optical three-input-three-output reversible Peres gate. Authors have deployed polarization switching characteristic of Semiconductor Optical Amplifier (SOA) for designing this c

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SOKOLOV, ARTEM, and ASA BEN-HUR. "HIERARCHICAL CLASSIFICATION OF GENE ONTOLOGY TERMS USING THE GOstruct METHOD." Journal of Bioinformatics and Computational Biology 08, no. 02 (2010): 357–76. http://dx.doi.org/10.1142/s0219720010004744.

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Protein function prediction is an active area of research in bioinformatics. Yet, the transfer of annotation on the basis of sequence or structural similarity remains widely used as an annotation method. Most of today's machine learning approaches reduce the problem to a collection of binary classification problems: whether a protein performs a particular function, sometimes with a post-processing step to combine the binary outputs. We propose a method that directly predicts a full functional annotation of a protein by modeling the structure of the Gene Ontology hierarchy in the framework of k

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Griot, Miguel, Andres I. Vila Casado, Wen-Yen Weng, Herwin Chan, Jiadong Wang, and Richard D. Wesel. "Nonlinear Trellis Codes for Binary-Input Binary-Output Multiple-Access Channels with Single-User Decoding." IEEE Transactions on Communications 60, no. 2 (2012): 364–74. http://dx.doi.org/10.1109/tcomm.2012.010512.070116.

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Akkaya, Ramazan, and Fatih Alpaslan Kazan. "A New Method for Angular Speed Measurement with Absolute Encoder." Elektronika ir Elektrotechnika 26, no. 1 (2020): 18–22. http://dx.doi.org/10.5755/j01.eie.26.1.25307.

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The encoders are electromechanical devices that give information about the angular position and the number of turns of the shaft, which they are connected. These devices are divided into digital or analogue according to output types. On digital outputs, the output can be binary coded, gray coded or pulsed. The frequency (M) or period (T) method produces accurate results in pulse-output encoders. However, these methods alone cannot give accurate results in some encoder types, which are saw tooth type encoders that produce analogue outputs in different shapes. In this study, a new method was pro

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Irshid, Mansour I. "A Simple Binary Run-Length Compression Technique for Non-Binary Sources Based on Source Mapping." Active and Passive Electronic Components 24, no. 4 (2001): 211–21. http://dx.doi.org/10.1155/2001/23505.

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In this paper, we propose a very simple and efficient binary run-length compression technique for non-binary sources. The technique is based on mapping the non-binary information source into an equivalent binary source using a new fixed-length code instead of the ASCII code. The codes are chosen such that the probability of one of the two binary symbols; say zero, at the output of the mapper is made as small as possible. Moreover, the “all ones” code is excluded from the code assignments table to ensure the presence of at least one “zero” in each of the output codewords. Compression is achieve

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Zhao, Shuai, Yuan Liu, Xiaokang Zhang, Rui Qin, Bin Wang, and Qiang Zhang. "Mapping Temporally Ordered Inputs to Binary Message Outputs with a DNA Temporal Logic Circuit." Nanomaterials 13, no. 5 (2023): 903. http://dx.doi.org/10.3390/nano13050903.

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Molecular circuits and devices with temporal signal processing capability are of great significance for the analysis of complex biological processes. Mapping temporal inputs to binary messages is a process of history-dependent signal responses, which can help understand the signal-processing behavior of organisms. Here, we propose a DNA temporal logic circuit based on DNA strand displacement reactions, which can map temporally ordered inputs to corresponding binary message outputs. The presence or absence of the output signal is determined by the type of substrate reaction with the input so th

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Ismail Pellu, Deny, Hardi Maifra Kurniadi, Valentyn Paul Bodywein Hattu, Suryo Prakoso, and Usman Pasarai. "Study on Binary Cycle Power Plant Optimization of PLTP Tulehu Ambon with Aspen HYSYS." International Journal of Application on Sciences, Technology and Engineering 1, no. 1 (2023): 260–68. http://dx.doi.org/10.24912/ijaste.v1.i1.260-268.

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Ambon Island has potential geothermal energy resources, one of them is geothermal energy in Tulehu where it is managed by PT. PLN has carried out exploration drilling, but the results of the exploration well test results obtained are low temperature and low pressure, so that cannot use conventional power plants. One of the technologies that can be used in this case is the binary cycle. The binary cycle can be used for low temperature geothermal fluid by using the working fluid to drive a turbine. The purpose of this research is to optimize power output by varying the working fluid, turbine inl

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Alderman, Phillip D. "Parallel gridded simulation framework for DSSAT-CSM (version 4.7.5.21) using MPI and NetCDF." Geoscientific Model Development 14, no. 10 (2021): 6541–69. http://dx.doi.org/10.5194/gmd-14-6541-2021.

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Abstract. The Decision Support System for Agrotechnology Transfer Cropping Systems Model (DSSAT-CSM) is a widely used crop modeling system that has been integrated into large-scale modeling frameworks. Existing frameworks generate spatially explicit simulated outputs at grid points through an inefficient process of translation from binary spatially referenced inputs to point-specific text input files, followed by translation and aggregation back from point-specific text output files to binary spatially referenced outputs. The main objective of this paper was to document the design and implemen

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BLATT, MARCELO, EYTAN DOMANY, and IDO KANTER. "ON THE EQUIVALENCE OF TWO-LAYERED PERCEPTRONS WITH BINARY NEURONS." International Journal of Neural Systems 06, no. 03 (1995): 225–31. http://dx.doi.org/10.1142/s0129065795000160.

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We consider two-layered perceptrons consisting of N binary input units, K binary hidden units and one binary output unit, in the limit N≫K≥1. We prove that the weights of a regular irreducible network are uniquely determined by its input-output map up to some obvious global symmetries. A network is regular if its K weight vectors from the input layer to the K hidden units are linearly independent. A (single layered) perceptron is said to be irreducible if its output depends on every one of its input units; and a two-layered perceptron is irreducible if the K+1 perceptrons that constitute such

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Windridge, David, Riccardo Mengoni, and Rajagopal Nagarajan. "Quantum error-correcting output codes." International Journal of Quantum Information 16, no. 08 (2018): 1840003. http://dx.doi.org/10.1142/s0219749918400038.

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Quantum machine learning is the aspect of quantum computing concerned with the design of algorithms capable of generalized learning from labeled training data by effectively exploiting quantum effects. Error-correcting output codes (ECOC) are a standard setting in machine learning for efficiently rendering the collective outputs of a binary classifier, such as the support vector machine, as a multi-class decision procedure. Appropriate choice of error-correcting codes further enables incorrect individual classification decisions to be effectively corrected in the composite output. In this pape

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She, Xiwei, Theodore W. Berger, and Dong Song. "A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size." Neural Computation 34, no. 1 (2022): 219–54. http://dx.doi.org/10.1162/neco_a_01459.

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Abstract We build a double-layer, multiple temporal-resolution classification model for decoding single-trial spatiotemporal patterns of spikes. The model takes spiking activities as input signals and binary behavioral or cognitive variables as output signals and represents the input-output mapping with a double-layer ensemble classifier. In the first layer, to solve the underdetermined problem caused by the small sample size and the very high dimensionality of input signals, B-spline functional expansion and L1-regularized logistic classifiers are used to reduce dimensionality and yield spars

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Gottlieb, Daniel, and Humberto Moreira. "Simple contracts with adverse selection and moral hazard." Theoretical Economics 17, no. 3 (2022): 1357–401. http://dx.doi.org/10.3982/te2992.

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We study a principal–agent model with moral hazard and adverse selection. Risk‐neutral agents with limited liability have arbitrary private information about the distribution of outputs and the cost of effort. We show that under a multiplicative separability condition, the optimal mechanism offers a single contract. This condition holds, for example, when output is binary. If the principal's payoff must also satisfy free disposal and the distribution of outputs has the monotone likelihood ratio property, the mechanism offers a single debt contract. Our results generalize if the output distribu

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Klimo, Martin, Peter Lukáč, and Peter Tarábek. "Deep Neural Networks Classification via Binary Error-Detecting Output Codes." Applied Sciences 11, no. 8 (2021): 3563. http://dx.doi.org/10.3390/app11083563.

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One-hot encoding is the prevalent method used in neural networks to represent multi-class categorical data. Its success stems from its ease of use and interpretability as a probability distribution when accompanied by a softmax activation function. However, one-hot encoding leads to very high dimensional vector representations when the categorical data’s cardinality is high. The Hamming distance in one-hot encoding is equal to two from the coding theory perspective, which does not allow detection or error-correcting capabilities. Binary coding provides more possibilities for encoding categoric

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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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Diamantaras, Konstantinos, Gabriela Vranou, and Theophilos Papadimitriou. "Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources." IEEE Transactions on Signal Processing 61, no. 11 (2013): 2866–73. http://dx.doi.org/10.1109/tsp.2013.2255046.

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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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Yan, Lingqing, Thomas F. Edgar, and Michael Baldea. "Dynamic process intensification of binary distillation based on output multiplicity." AIChE Journal 65, no. 4 (2019): 1162–72. http://dx.doi.org/10.1002/aic.16506.

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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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Abstract:

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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Kajdanowicz, Tomasz, and Przemysław Kazienko. "Multi-label classification using error correcting output codes." International Journal of Applied Mathematics and Computer Science 22, no. 4 (2012): 829–40. http://dx.doi.org/10.2478/v10006-012-0061-2.

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A framework for multi-label classification extended by Error Correcting Output Codes (ECOCs) is introduced and empirically examined in the article. The solution assumes the base multi-label classifiers to be a noisy channel and applies ECOCs in order to recover the classification errors made by individual classifiers. The framework was examined through exhaustive studies over combinations of three distinct classification algorithms and four ECOC methods employed in the multi-label classification problem. The experimental results revealed that (i) the Bode-Chaudhuri-Hocquenghem (BCH) code match

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