Journal articles: 'Binary output system'

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

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 binary input/output can be ascribed to matter waves ?(x,t) = ei(kx??t).

2

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 (November 11, 2021): [14 P.]. http://dx.doi.org/10.6036/nt10248.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

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 estimation algorithm applied herein for processing digital measurements. In this particular case, the Lebesgue algorithm is applied to reproduce the estimation of values obtained from the continuous signal in the real level process for the measurement and control. Also, are compared both, simulated and real outputs obtained using the Lebesgue algorithm and digital sensors, which were applied to a state observer controller that relates digital signals for controlling the real level system output. The application of the Lebesgue algorithm in the real level process concludes that the analog level signal can be efficiently reproduced using this method. In addition, the controller enables the system to smoothly conduct digital output processing using digital sensors to control the system output correctly, validating that not only analog sensors should be applied for controlling the output of proportional actuators, because it is shown that digital binary signals can be used for controlling and emulating continuous signals, which were processed and applied to the pneumatic valve. Keywords: Lebesgue sampling, estimation, binary sensor, observer controller, finite state machine, continuous system, control, LTI systems, identification, state variable, estimated output, proportional actuator

3

Gurevich, Yuri, and Saharon Shelah. "Time polynomial in input or output." Journal of Symbolic Logic 54, no. 3 (September 1989): 1083–88. http://dx.doi.org/10.2307/2274767.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

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.

4

Fateh, Rachid, Hicham Oualla, Es-said Azougaghe, Anouar Darif, Ahmed Boumezzough, Said Safi, Mathieu Pouliquen, and Miloud Frikel. "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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

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 Proakis C channel. Additionally, we introduce the application of these kernel methods for estimating binary output data of nonlinear systems. We showcase the effectiveness of kernel adaptive filters in identifying nonlinear systems with binary output measurements, as demonstrated through the experimental results presented in this study.

5

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Zlateva, P. "Output stabilization of fermentation processes: A binary control system approach." Bioprocess Engineering 23, no. 1 (July 27, 2000): 81–87. http://dx.doi.org/10.1007/s004499900127.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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 power output of double flash power is bigger than flash-binary system. When the geothermal resource temperature is between 130? and 150?, the net power output of flash-binary geothermal power system is higher than double flash system by the maximum value 5.5%. However, the sum water steam amount of double flash power system is 2 to 3 times larger than flash-binary power system, which will cause the bigger volume of equipment of power system. Based on the economy and power capacity, it is better to use flash-binary power system when the geofluid temperature is between 100? and 150?.

9

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 (October 1, 1988): 312–18. http://dx.doi.org/10.1088/0143-0807/9/4/013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Singh, Gajendra Pratap, and Sujit Kumar Singh. "Petri Net Recommender System for Generating of Perfect Binary Tree." International Journal of Knowledge and Systems Science 10, no. 2 (April 2019): 1–12. http://dx.doi.org/10.4018/ijkss.2019040101.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

In modeling a discrete event driven system, Petri net recommender systems can play a very important role in describing the structural and behavioral properties of complex and tricky networks. The finite and infinite perfect binary tree forms a predictive model which can map the input information to output information based on the inputs' attributes. A perfect binary tree can be used for three types of recommender systems such as: collaborative filtering, a content-based approach, and a hybrid approach. In this article, the authors show the existence of a Petri net whose reachability tree is a Perfect Infinite Binary Tree (PIBT).

11

Musa, Samaila, Lawal Muhammad Jabaka, Abubakar Usman Mohammed, and Mansur Mohammed. "Facial Recognition System Using Local Binary Pattern (LBP) Algorithm as a Tool in Curbing Agricultural Loan." International Journal of Science for Global Sustainability 8, no. 4 (January 16, 2023): 9. http://dx.doi.org/10.57233/ijsgs.v8i4.361.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Face recognition (FR) technology can be used in wide range of applications such as identity authentication, access control, and surveillance. Interests and research activities in face recognition have increased significantly over the past twenty years, in this research, local binary pattern was be used to design a system that will store all the faces of the Central Bank of Nigeria (CBN) anchor borrowers’ loan beneficiaries, the system will use farmers faces binary information and inject the binary information into the recovery farmers database so that no multiple loan will be given to any defaulter and their facial identity will be revealed. The final output of the anchor borrower programme(ABP) is to create economic linkage between smallholder farmers and reputable large-scale processors with a view to increasing agricultural output and significantly improving capacity utilization of processors.

12

Kim, Sung-Cheol, Adith S. Arun, Mehmet Eren Ahsen, Robert Vogel, and Gustavo Stolovitzky. "The Fermi–Dirac distribution provides a calibrated probabilistic output for binary classifiers." Proceedings of the National Academy of Sciences 118, no. 34 (August 19, 2021): e2100761118. http://dx.doi.org/10.1073/pnas.2100761118.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Binary classification is one of the central problems in machine-learning research and, as such, investigations of its general statistical properties are of interest. We studied the ranking statistics of items in binary classification problems and observed that there is a formal and surprising relationship between the probability of a sample belonging to one of the two classes and the Fermi–Dirac distribution determining the probability that a fermion occupies a given single-particle quantum state in a physical system of noninteracting fermions. Using this equivalence, it is possible to compute a calibrated probabilistic output for binary classifiers. We show that the area under the receiver operating characteristics curve (AUC) in a classification problem is related to the temperature of an equivalent physical system. In a similar manner, the optimal decision threshold between the two classes is associated with the chemical potential of an equivalent physical system. Using our framework, we also derive a closed-form expression to calculate the variance for the AUC of a classifier. Finally, we introduce FiDEL (Fermi–Dirac-based ensemble learning), an ensemble learning algorithm that uses the calibrated nature of the classifier’s output probability to combine possibly very different classifiers.

13

Falih, Saad. "A Pseudorandom Binary Generator Based on Chaotic Linear Feedback Shift Register." Iraqi Journal for Electrical and Electronic Engineering 12, no. 2 (December 1, 2016): 155–60. http://dx.doi.org/10.37917/ijeee.12.2.5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

This paper presents a simple method for the design of Chaotic Linear Feedback Shift Register (CLFSR) system. The proposed method is based on a combination of two known systems. The first is called Linear Feedback Shift Register (LFSR) system, and the other is called Chaotic Map system. The main principle of the proposed system is that, the output of the LFSR is modified by exclusive-or (XOR) it with the stream bit that is generated by using the chaotic map system to eliminate the linearity and the repeating in the output of the LFSR system. The proposed system is built under Matlab environment and the quality of sequence generation tested by using standard tests which shows that the proposed system is a good random number generator that overcome the linearity and repeating disadvantages.

14

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 (October 28, 2021): 6541–69. http://dx.doi.org/10.5194/gmd-14-6541-2021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

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 implementation of a parallel gridded simulation framework for DSSAT-CSM. A secondary objective was to provide preliminary analysis of execution time and scaling of the new parallel gridded framework. The parallel gridded framework includes improved code for model-internal data transfer, gridded input–output with the Network Common Data Form (NetCDF) library, and parallelization of simulations using the Message Passing Interface (MPI). Validation simulations with the DSSAT-CSM-CROPSIM-CERES-Wheat model revealed subtle discrepancies in simulated yield due to the rounding of soil parameters in the input routines of the standard DSSAT-CSM. Utilizing NetCDF for direct input–output produced a 3.7- to 4-fold reduction in execution time compared to R- and text-based input–output. Parallelization improved execution time for both versions with between 12.2- (standard version) and 13.4-fold (parallel gridded version) speed-up when comparing 1 to 16 compute cores. Estimates of parallelization of computation ranged between 99.2 % (standard version) and 97.3 % (parallel gridded version), indicating potential for scaling to higher numbers of compute cores.

15

Kanog˘lu, M., and Y. A. C¸engel. "Retrofitting a Geothermal Power Plant to Optimize Performance: A Case Study." Journal of Energy Resources Technology 121, no. 4 (December 1, 1999): 295–301. http://dx.doi.org/10.1115/1.2795996.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Performance evaluation of a 12.8-MW single-flash design geothermal power plant in Northern Nevada is conducted using actual plant operating data, and potential improvement sites are identified. The unused geothermal brine reinjected back to the ground is determined to represent about 50 percent of the energy and 40 percent of the exergy available in the reservoir. The first and second-law efficiencies of the plant are determined to be 6 percent and 22 percent, respectively. Optimizing the existing single-flash system is shown to increase the net power output by up to 4 percent. Some well-known geothermal power generation technologies including double-flash, binary, and combined flash/binary designs as alternative to the existing system are evaluated and their optimum operating conditions are determined. It is found that a double-flash design, a binary design, and a combined flash/binary design can increase the net power output by up to 31 percent, 35 percent, and 54 percent, respectively, at optimum operating conditions. An economic comparison of these designs appears to favor the combined flash/binary design, followed by the double-flash design.

16

Luo, Chao, Jun Zhao, Yongzhen Wang, Hongmei Yin, Qingsong An, and Yulie Gong. "Design and experimental research on the combined flash-binary geothermal power generation system driven by low-medium temperature geothermal system." Thermal Science 24, no. 2 Part A (2020): 831–42. http://dx.doi.org/10.2298/tsci181112013l.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

To match for the different temperature of the geothermal resource and strengthen the flexibility of organic Rankine cycle, a variable capacity power generation superstructure based on flash and organic Rankine cycle for geothermal energy was proposed. A combined flash-binary experimental prototype is newly established to investigate thermodynamic performance both on system and equipment in this paper. Pressured hot water is adopted as the extensive worldwide existed hydrothermal geothermal resource, eliminating the influence of the used heat transfer oil on evaporating process. The experimental results show that there is an optimal mass-flow rate of R245fa under the condition of different heat source temperature. Flash and binary power subsystem dominate the flash-binary power system, respectively, when the heat source temperature is 120? and 130?. The isotropic efficiency of modified compressor just between 0.2 and 0.25. The power output of per ton geofluid are 0.78 kWh/t and 1.31 kWh/t, respectively, when the heat source temperature are 120? and 130?. These results will predict the operation data of flash-binary power plant driven by the low-medium temperature geothermal water for construction in western of China.

17

Nelson, Andrew F. "Observations of Binary Systems Found in Numerical Simulations." Symposium - International Astronomical Union 202 (2004): 223–25. http://dx.doi.org/10.1017/s0074180900217920.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

I present a two dimensional hydrodynamic simulation of a binary system consisting of two stars, each with a circumstellar disk, using a Smoothed Particle Hydrodynamic (SPH) code. I model the luminous output of this system in various millimeter and sub-millimeter wavelength bands appropriate for several new and soon to be on line interferometric telescopes and find that spiral structure present in the density structure of the disks will be difficult or impossible to observe in the observed emission from the system, due to the fact that disk photosphere temperatures are not very sensitive to the underlying density distribution.

18

Domanski, Izabela, Matthew Cappadona, Oliver Fuller, and Zeb Krix. "Geothermal Power: Factors affecting the performance of Binary Plants." PAM Review Energy Science & Technology 2 (August 31, 2015): 32–49. http://dx.doi.org/10.5130/pamr.v2i0.1394.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

A meta-study is conducted investigating the effect of plant parameters on the power output and efficiency of geothermal binary cycle power plants. Production well depth, geofluid temperature and mass flow rate are the parameters considered. An increase in mass flow rate is shown to increase both power output and efficiency. It is shown that a distinction can be made between two basic types of binary plants based off of mass flow and performance data. The well depth is shown to have no effect on plant performance. In addition, condenser parameters were investigated and the highest efficiency condenser system is determined.

19

Nguyen, Thanh, Abbas Khosravi, Douglas Creighton, and Saeid Nahavandi. "Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 23, no. 05 (October 2015): 735–60. http://dx.doi.org/10.1142/s0218488515500324.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

A new multi-output interval type-2 fuzzy logic system (MOIT2FLS) is introduced for protein secondary structure prediction in this paper. Three outputs of the MOIT2FLS correspond to three structure classes including helix, strand (sheet) and coil. Quantitative properties of amino acids are employed to characterize twenty amino acids rather than the widely used computationally expensive binary encoding scheme. Three clustering tasks are performed using the adaptive vector quantization method to construct an equal number of initial rules for each type of secondary structure. Genetic algorithm is applied to optimally adjust parameters of the MOIT2FLS. The genetic fitness function is designed based on the Q3 measure. Experimental results demonstrate the dominance of the proposed approach against the traditional methods that are Chou-Fasman method, Garnier-Osguthorpe-Robson method, and artificial neural network models.

20

Brincat, M. S., C. Galdies, W. Grech, F. Tavakkoli, and K. Hills. "A PHOTOMETRIC STUDY OF THE ACTIVE EW/RS BINARY STAR SYSTEM: GSC 05586-00371." Open European Journal on Variable stars, no. 231 (2022): 1–23. http://dx.doi.org/10.5817/oejv2022-0231.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

GSC 05586-00371 is a fast-rotating (Prot ≈ 0.44 days) eclipsing binary. Our study showed that this star system is an overcontact eclipsing binary star that belongs to the W UMa class with characteristics of RS CVn type stars. We studied this binary system by photometric means through the V and I bandpass where data by the ASAS-SN survey have also been utilized. our photometry yielded a more precise orbital period that was obtained on its discovery. ASAS-SN data over a 6-year period revealed a long-term photometric wave that is attributed to star spot activity. We monitored the binary system over a 73-hour monitoring period to detect any possible flares from the system, where two consecutive events were monitored from one of our observing stations. Through the use of the Wilson-Devinney program as applied by Binary Maker 3.0, we have obtained a model for this binary system that reveals the presence of star spots on both components. Our results show that the star spot activity is rather dynamic where their influence on the system’s light output changed on seasonal timescales.

21

Borysenko, Oleksiy. "QUANTUM COMPRESSION OF BINARY MESSAGES." Grail of Science, no. 23 (January 3, 2023): 137–42. http://dx.doi.org/10.36074/grail-of-science.23.12.2022.22.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

In the proposed work, the problem of compressing binary messages in one cycle is solved. A method for solving it in relation to Bernoulli sources of information is proposed, using tabular logic, according to which the original message is converted by the decoder of the compression system into a pre-recorded number in one of its memory cells together with a number representing the number of units in the original message. Restoration of compressed information also occurs according to tabular logic, in which the number of the compressed message excites the original message recorded in the corresponding memory cell, and it is transmitted to the system output. A significant advantage of the proposed method, in addition to speed, is that the compression effect approaches the entropy of the original messages and makes it possible to build quantum processors both on ordinary elements and on elements that use quantum effects.

22

Zabet, Nicolae Radu, and Dominique F. Chu. "Computational limits to binary genes." Journal of The Royal Society Interface 7, no. 47 (December 4, 2009): 945–54. http://dx.doi.org/10.1098/rsif.2009.0474.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

We analyse the trade-off between the speed with which a gene can propagate information, the noise of its output and its metabolic cost. Our main finding is that for any given level of metabolic cost there is an optimal trade-off between noise and processing speed. Any system with a non-vanishing leak expression rate is suboptimal, i.e. it will exhibit higher noise and/or slower speed than leak-free systems with the same metabolic cost. We also show that there is an optimal Hill coefficient h which minimizes noise and metabolic cost at fixed speeds, and an optimal threshold K which minimizes noise.

23

Dawa, Mohamed, and Faten Ben Abdallah. "FPGA Implementation of the IEEE 802.16 Physical Layer for SHVC Video Transmission." Journal of Circuits, Systems and Computers 27, no. 12 (June 22, 2018): 1850190. http://dx.doi.org/10.1142/s0218126618501906.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

This paper presents a video transmission system for scalable High-Efficiency Video Coding (HEVC) videos using a 4G standard’s physical layer. SHVC, the scalable HEVC is used to compress the different layers of videos into binary files. The resultant binary files are easily transportable over any network thus solving many issues mainly related to videos with high resolutions. Three scenarios are studied and simulated at first, namely, Single Input Single Output (SISO), Multiple Input Single Output (MISO) and MIMO. Since the MIMO scenario offers the best results, it is considered in the implementation of the system on Field Programmable Gate Array (FPGA) using Xilinx System Generator (XSG). A Simulink model is developed under Matlab to simulate the video transmission scenarios using the WIMAX physical layer. Then, the MIMO system is implemented using a Zed-Board to co-simulate the video transmission in real-time and which allows a successful reception of the video sequences.

24

Ciccone, Luca, and Luca Padovani. "Fair termination of binary sessions." Proceedings of the ACM on Programming Languages 6, POPL (January 16, 2022): 1–30. http://dx.doi.org/10.1145/3498666.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

A binary session is a private communication channel that connects two processes, each adhering to a protocol description called session type . In this work, we study the first type system that ensures the fair termination of binary sessions. A session fairly terminates if all of the infinite executions admitted by its protocol are deemed unrealistic because they violate certain fairness assumptions . Fair termination entails the eventual completion of all pending input/output actions, including those that depend on the completion of an unbounded number of other actions in possibly different sessions. This form of lock freedom allows us to address a large family of natural communication patterns that fall outside the scope of existing type systems. Our type system is also the first to adopt fair subtyping , a liveness-preserving refinement of the standard subtyping relation for session types that so far has only been studied theoretically. Fair subtyping is surprisingly subtle not only to characterize concisely but also to use appropriately, to the point that the type system must carefully account for all usages of fair subtyping to avoid compromising its liveness-preserving properties.

25

Ratsaby, Joel. "ON DETERMINISTIC FINITE STATE MACHINES IN RANDOM ENVIRONMENTS." Probability in the Engineering and Informational Sciences 33, no. 4 (December 5, 2018): 528–63. http://dx.doi.org/10.1017/s0269964818000451.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

AbstractThe general problem under investigation is to understand how the complexity of a system which has been adapted to its random environment affects the level of randomness of its output (which is a function of its random input). In this paper, we consider a specific instance of this problem in which a deterministic finite-state decision system operates in a random environment that is modeled by a binary Markov chain. The system interacts with it by trying to match states of inactivity (represented by 0). Matching means that the system selects the (t + 1)th bit from the Markov chain whenever it predicts at time t that the environment will take a 0 value. The actual value at time t + 1 may be 0 or 1 thus the selected sequence of bits (which forms the system's output) may have both binary values. To try to predict well, the system's decision function is inferred based on a sample of the random environment.We are interested in assessing how non-random the output sequence may be. To do that, we apply the adapted system on a second random sample of the environment and derive an upper bound on the deviation between the average number of 1 bit in the output sequence and the probability of a 1. The bound shows that the complexity of the system has a direct effect on this deviation and hence on how non-random the output sequence may be. The bound takes the form of $O(\sqrt {(2^k/n} ))$ where 2k is the complexity of the system and n is the length of the second sample.

26

Song, Yang, Qiyu Kang, and Wee Peng Tay. "Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 9722–29. http://dx.doi.org/10.1609/aaai.v35i11.17169.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Though deep learning has been applied successfully in many scenarios, malicious inputs with human-imperceptible perturbations can make it vulnerable in real applications. This paper proposes an error-correcting neural network (ECNN) that combines a set of binary classifiers to combat adversarial examples in the multi-class classification problem. To build an ECNN, we propose to design a code matrix so that the minimum Hamming distance between any two rows (i.e., two codewords) and the minimum shared information distance between any two columns (i.e., two partitions of class labels) are simultaneously maximized. Maximizing row distances can increase the system fault tolerance while maximizing column distances helps increase the diversity between binary classifiers. We propose an end-to-end training method for our ECNN, which allows further improvement of the diversity between binary classifiers. The end-to-end training renders our proposed ECNN different from the traditional error-correcting output code (ECOC) based methods that train binary classifiers independently. ECNN is complementary to other existing defense approaches such as adversarial training and can be applied in conjunction with them. We empirically demonstrate that our proposed ECNN is effective against the state-of-the-art white-box and black-box attacks on several datasets while maintaining good classification accuracy on normal examples.

27

Dayal, Madhavenshu, and Manoj Kumar. "Representing Weighted Binary Codes using FPGA." Asian Journal of Basic Science & Research 04, no. 02 (2022): 41–50. http://dx.doi.org/10.38177/ajbsr.2022.4203.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Nowadays machines are playing major role in any development. We need a language or code to communicate with machine. These language or codes must be machine readable and acceptable. Several weighted binary codes have been developed to simplify the communication process between man and machine. In this paper, some of weighted binary codes such as 5421, 5211, 2421 and 4221 are represented by using Artix7 series Field Programmable Gate Array (FPGA) board. Very High Speed Hardware Description Language (VHDL) language is used to design a system which represents these weighted binary codes on FPGA board. Two FPGA switches are used to select weighted binary codes. Four bits inputs of each weighted binary codes are passed using four FPGA switches. Four bits output of each weighted binary codes are represented by using seven segment display and four LEDs of FPGA Board. Xilinx Vivado2015.2 tool is used to do the synthesis and simulation of the proposed system.

28

Yang, Wun-Hao, Pin-Cheng Hou, Wei-Hung Shih, Sung-Wei Hsu, and Yu-Bin Chen. "Realization and optimization of a binary cycle power generating system using a low-grade heat source." Journal of Mechanics 38 (2022): 166–75. http://dx.doi.org/10.1093/jom/ufac014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Abstract The low-grade heat source thermoelectric system generates electricity using a working fluid at temperature lower than 100°C or gas at temperature lower than 250°C. The system is usually composed of binary (1 + 0.5 × 2) cycles. Positive net output power or high efficiency of the system can only be feasible after optimization. Most works focused on the cycle of working fluid and treated the power consumptions of the other cycles as constants. However, both cycles should be comprehensively considered in optimization, especially when power consumptions vary with working conditions. This research selected an organic Rankine cycle thermoelectric system for demonstration. A thermodynamic model conforming to the target system was built. The temperature of the heat source and the pressure at expander inlet were tailored using the genetic algorithm. The best efficiency is 1.89%, and the largest net output power is 5.80 kW. Both results are better than those (efficiency = 1.59% and net output power = 5.34 kW) from benchmarks under the highest temperature of heat source and inlet pressure among possible working conditions. Experimental results are provided for both validation of the model and confirmation of the superiority of optimization results.

29

Yang, Wun-Hao, Pin-Cheng Hou, Wei-Hung Shih, Sung-Wei Hsu, and Yu-Bin Chen. "Realization and optimization of a binary cycle power generating system using a low-grade heat source." Journal of Mechanics 38 (2022): 166–75. http://dx.doi.org/10.1093/jom/ufac014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Abstract The low-grade heat source thermoelectric system generates electricity using a working fluid at temperature lower than 100°C or gas at temperature lower than 250°C. The system is usually composed of binary (1 + 0.5 × 2) cycles. Positive net output power or high efficiency of the system can only be feasible after optimization. Most works focused on the cycle of working fluid and treated the power consumptions of the other cycles as constants. However, both cycles should be comprehensively considered in optimization, especially when power consumptions vary with working conditions. This research selected an organic Rankine cycle thermoelectric system for demonstration. A thermodynamic model conforming to the target system was built. The temperature of the heat source and the pressure at expander inlet were tailored using the genetic algorithm. The best efficiency is 1.89%, and the largest net output power is 5.80 kW. Both results are better than those (efficiency = 1.59% and net output power = 5.34 kW) from benchmarks under the highest temperature of heat source and inlet pressure among possible working conditions. Experimental results are provided for both validation of the model and confirmation of the superiority of optimization results.

30

Godivier, Xavier, and François Chapeau-Blondeau. "Stochastic Resonance in the Information Capacity of a Nonlinear Dynamic System." International Journal of Bifurcation and Chaos 08, no. 03 (March 1998): 581–89. http://dx.doi.org/10.1142/s0218127498000371.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

We consider a nonlinear bistable dynamic system governed by the quartic potential with two-state quantization at the output — the earliest system to have revealed the phenomenon of periodic stochastic resonance. We devise a scheme in which this system is used to transmit a broadband aperiodic informative signal. With this scheme, we demonstrate that the system can be operated as a memoryless symmetric binary channel, and we develop the characterization of the transmission up to the evaluation of the input–output information capacity of this channel. We show that a regime exists where the information capacity can be increased by means of noise addition, a property we interpret as a form of aperiodic stochastic resonance. In addition, we demonstrate that a positive input–output gain in the efficacy of the signal recovery can be obtained with the stochastic resonator, compared to the recovery that would directly operate on the input signal-plus-noise mixture.

31

Luo, Chao, Lichang Huang, Jiawei He, Huiwen Huang, and Shiqian Cai. "The influence of temperature on geothermal power plant performance based on geology in Huangshadong geothermal field, China." Thermal Science, no. 00 (2023): 79. http://dx.doi.org/10.2298/tsci221215079l.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

The geological structure is rather complicated in Guangdong province, in China. The 10 deep fault belts are mainly oriented in NE. The NE fault belts are good channels for deep thermal energy upwelling, which can form a geothermal water reservoir zone. The heating of atmospheric precipitation and surface water by deep rocks is the primary formation mechanism for the hydrothermal resources in the Huangshadong geothermal field. The results show that the two-stage conversion system of flash-binary is more reasonable when the geofluid temperature is higher than 130oC. With every 10oC increment of geofluid temperature for flash-binary system, the power output and exergy efficiency increase by 21.6-38.7% and 6.0-13.1% respectively. The power output and exergy efficiency will decrease by about 20-40% when cooling temperature arising from 15 to 25oC. The research will provide the basic data for the demonstration of geothermal resource exploitation.

32

Guo, Jin, Jing Cheng, and Jing-Dong Diao. "System identification with binary-valued output observations under either-or communication and data packet dropout." Systems & Control Letters 156 (October 2021): 105010. http://dx.doi.org/10.1016/j.sysconle.2021.105010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Shamseldin, Mohamed A. "Deep Neural Network System Identification for Servomechanism System." DESIGN, CONSTRUCTION, MAINTENANCE 2 (May 11, 2022): 125–32. http://dx.doi.org/10.37394/232022.2022.2.18.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

This paper presents a systematic technique for designing the input signal to identify the one-stage servomechanism system. Sources of nonlinearities such as friction and backlash consider an obstacle to obtaining an accurate model. Also, most such systems suffer from a lack of system parameters data. So, this study establishes a model using the black-box modeling approach; simulations are performed based on real-time data collected by LabVIEW software and processed using MATLAB System Identification toolbox. The input signal for the servomechanism system driver is a pseudo-random binary sequence that considers violent excitation in the frequency interval and the output signal is the corresponding stage speed measured by rotary encoder. The candidate models were obtained using linear least squares, nonlinear least squares, and Deep Neural Network (DNN). The validation results proved that the identified model based on DNN has the smallest mean square errors compared to other candidate models.

34

Schmitt, Lisa, Philip Schmitt, and Martin Hoffmann. "3-Bit Digital-to-Analog Converter with Mechanical Amplifier for Binary Encoded Large Displacements." Actuators 10, no. 8 (August 4, 2021): 182. http://dx.doi.org/10.3390/act10080182.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

We present the design, fabrication, and characterization of a MEMS-based 3-bit Digital-to-Analog Converter (DAC) that allows the generation of large displacements. The DAC consists of electrostatic bending-plate actuators that are connected to a mechanical amplifier (mechAMP), enabling the amplification of the DAC output displacement. Based on a parallel binary-encoded voltage signal, the output displacement of the system can be controlled in an arbitrary order. Considering the system design, we present a simplified analytic model, which was confirmed by FE simulation results. The fabricated systems showed a total stroke of approx. 149.5 ± 0.3 µm and a linear stepwise displacement of 3 bit correlated to 23 ≙ eight defined positions at a control voltage of 60 V. The minimum switching time between two input binary states is 0.1 ms. We present the experimental characterization of the system and the DAC and derive the influence of the mechAMP on the functionality of the DAC. Furthermore, the resonant behavior and the switching speed of the system are analyzed. By changing the electrode activation sequence, 27 defined positions are achieved upgrading the 3-bit systems into a 3-tri-state (33) system.

35

Wu, Chengjin, Qing Jiao, and Feng Tian. "Aperiodic Stochastic Resonance in the Fractional-Order Bistable System." Fluctuation and Noise Letters 19, no. 02 (August 22, 2019): 2050014. http://dx.doi.org/10.1142/s0219477520500145.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

The aperiodic stochastic resonance (ASR) in the bistable fractional-order system is further studied when the fractional-order lies in the interval (0, 2). In previous works, the ASR can only process aperiodic binary signal with large pulse width. However, for the signal with small pulse width, the method cannot work. Actually, the signals with small pulse width are also common in the information transmission field. It greatly limits the application of the fractional stochastic resonance. Hence, we mainly focus on the enhancement of aperiodic binary signal with small pulse width. To solve the aforementioned technical problem, the general scale transformation is introduced, which allows us to achieve the ASR successfully. By this method, the equivalent system with large system parameters is able to match the input character signal with arbitrary small pulse width well, where the scale parameter is a key to achieve resonance. During the process, the fractional-order system presents rich dynamical behaviors in processing the aperiodic binary signals. Especially, as the order increases, the output signal at optimal noise intensity might be better and be more similar to the input one. This indicates the fractional order can optimize the stochastic resonance. The results might provide some reference to the engineering field, such as digital transmission and image processing field.

36

Tanaka, Yuuki, Yuuki Suzuki, and Shugang Wei. "Novel Binary Signed-Digit Addition Algorithm for FPGA Implementation." Journal of Circuits, Systems and Computers 29, no. 09 (November 1, 2019): 2050136. http://dx.doi.org/10.1142/s0218126620501364.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Signed-digit (SD) number representation systems have been studied for high-speed arithmetic. One important property of the SD number system is the possibility of performing addition without long carry chain. However, many numbers of logic elements are required when the number representation system and such an adder are realized on a logic circuit. In this study, we propose a new adder on the binary SD number system. The proposed adder uses more circuit area than the conventional SD adders when those adders are realized on ASIC. However, the proposed adder uses 20% less number of logic elements than the conventional SD adder when those adders are realized on a field-programmable gate array (FPGA) which is made up of 4-input 1-output LUT such as Intel Cyclone IV FPGA.

37

Ko, Wei-Jen, Greg Durrett, and Junyi Jessy Li. "Domain Agnostic Real-Valued Specificity Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6610–17. http://dx.doi.org/10.1609/aaai.v33i01.33016610.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Sentence specificity quantifies the level of detail in a sentence, characterizing the organization of information in discourse. While this information is useful for many downstream applications, specificity prediction systems predict very coarse labels (binary or ternary) and are trained on and tailored toward specific domains (e.g., news). The goal of this work is to generalize specificity prediction to domains where no labeled data is available and output more nuanced realvalued specificity ratings.We present an unsupervised domain adaptation system for sentence specificity prediction, specifically designed to output real-valued estimates from binary training labels. To calibrate the values of these predictions appropriately, we regularize the posterior distribution of the labels towards a reference distribution. We show that our framework generalizes well to three different domains with 50%-68% mean absolute error reduction than the current state-of-the-art system trained for news sentence specificity. We also demonstrate the potential of our work in improving the quality and informativeness of dialogue generation systems.

38

Zlateva, Plamena. "A modified sliding mode control of a nonlinear methane fermentation process." E3S Web of Conferences 167 (2020): 05007. http://dx.doi.org/10.1051/e3sconf/202016705007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

A continuous methane fermentation process for biogas production is considered. This biogas production process is described by a system of two nonlinear differential equations and one nonlinear algebraic equation. The paper purpose is to propose an approach for designing a modified sliding mode control (so-called binary control) of a nonlinear methane fermentation process. The control design is carried out with direct use of nonlinear model and on-line measurement for two variables only (the concentration of the organic pollutants and biogas production rate). The model of the sliding mode control is developed with respect to an auxiliary input variable in order to obtain the smooth signal of the dilution rate, which is need in the fermentation processes. The state variables, external disturbance, process output and control input are varied in the known intervals. The asymptotic output stabilization problem is solved. The good system robustness with the designed modified sliding mode control (the binary control) about various disturbances is proved through simulation investigations in MATLAB using Simulink.

39

Rushdi, Ali Muhammad Ali. "Utilization of Symmetric Switching Functions in the Symbolic Reliability Analysis of Multi-State k-out-of-n Systems." International Journal of Mathematical, Engineering and Management Sciences 4, no. 2 (April 1, 2019): 306–26. http://dx.doi.org/10.33889/ijmems.2019.4.2-025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Symmetric switching functions (SSFs) play a prominent role in the reliability analysis of a binary k-out-of-n: G system, which is a dichotomous system that is successful if and only if at least k out of its n components are successful. The aim of this paper is to extend the utility of SSFs to the reliability analysis of a multi-state k-out-of-n: G system, which is a multi-state system whose multi-valued success is greater than or equal to a certain value j (lying between 1 (the lowest output level) and M (the highest output level)) whenever at least km components are in state m or above for all m such that 1 ≤ m ≤ j. This paper is devoted to the analysis of non-repairable multi-state k-out-of-n: G systems with independent non-identical components. The paper utilizes algebraic techniques of multiple-valued logic (together with known properties of SSFs) to evaluate each of the multiple levels of the system output as an individual binary or propositional function of the system multi-valued inputs. The formula of each of these levels is then written as a probability–ready expression, thereby allowing its immediate conversion, on a one-to-one basis, into a probability or expected value. The symbolic reliability analysis of a commodity-supply system (which serves as a standard gold example of a multi-state k-out-of-n: G system) is completed successfully herein, yielding results that have been checked symbolically, and also were shown to agree numerically with those obtained earlier.

40

Wang, Yi, Haibo Wang, and XueWen Jiang. "Performance of Reconfigurable-Intelligent-Surface-Assisted Satellite Quasi-Stationary Aircraft–Terrestrial Laser Communication System." Drones 6, no. 12 (December 8, 2022): 405. http://dx.doi.org/10.3390/drones6120405.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

This paper proposes the use of quasi-stationary aircraft and reconfigurable intelligent surfaces (RIS) to improve the system performance in satellite–terrestrial laser communication downlink. Single-input multiple-output (SIMO) technology is applied to the relay node of a quasi-stationary aircraft. The closed expression of the bit error rate (BER) of an RIS-assisted satellite quasi-stationary aircraft–terrestrial laser communication system (RIS-SHTLC) is derived under the M-distributed atmospheric turbulence model while considering the influence of atmospheric turbulence and pointing errors caused by RIS jitter. The effects of coherent binary frequency shift keying (CBFSK), coherent binary phase-shift keying (CBPSK), non-coherent binary frequency shift keying (NBFSK), and differential binary phase-shift keying (DBPSK) on the performance of an RIS-SHTLC system are simulated and analyzed under weak turbulence. The results show that the RIS-SHTLC system with CBPSK modulation has the best communication performance. Simultaneously, the relationships between the average signal-to-noise ratio (SNR) and BER of the RIS-SHTLC system under different RIS elements are simulated and analyzed, and compared with the traditional SHTLC system. In addition, the influence of the zenith angle, receiving aperture and divergence angle on the performance of the system is studied. Finally, Monte Carlo simulations are used to validate the analytical results.

41

Kuźma, Dominika, Paweł Kowalczyk, Krzysztof Cpałka, and Łukasz Laskowski. "A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations." Materials 14, no. 11 (May 31, 2021): 2974. http://dx.doi.org/10.3390/ma14112974.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Nanotechnology has opened numerous ways for physically realizing very sophisticated nanodevices that can be fabricated exclusively using molecular engineering methods. However, the synthesis procedures that lead to the production of nanodevices are usually complicated and time consuming. For this reason, the destination materials should be well designed. Therefore, numerical simulations can be invaluable. In this work, we present numerical simulations of the magnetic behaviour of magnetic units shaped into nanometric strips as a low dimensional layout that can be used as nano-systems of combinatorial logic. We showed that magnetic layouts that contain fewer than 16 magnetic units can take on a specific configuration as a response to the input magnetic field. Such configuration can be treated as an output binary word. The layouts that contained various numbers of magnetic units showed different switching characteristics (utterly different order of inverting of strips’ magnetic moments), thus creating numerous combinations of the output binary words in response to the analog magnetic signal. The number of possible output binary words can be increased even more by adding parameters––the system’s initial magnetic configuration. The physical realization of the model presented here can be used as a very simple and yet effective encryption device that is based on nanometric arrays of magnetic units rather than an integrated circuit. The same information, provided by the proposed system, can be utilized for the construction of a nano-sensor for measuring of magnetic field with the possibility of checking also the history of magnetization.

42

FUJIWARA, AKIHIRO, and TAKESHI TATEISHI. "LOGIC AND ARITHMETIC OPERATIONS WITH A CONSTANT NUMBER OF STEPS IN MEMBRANE COMPUTING." International Journal of Foundations of Computer Science 22, no. 03 (April 2011): 547–64. http://dx.doi.org/10.1142/s0129054111008222.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

In the present paper, we propose P systems that work in a constant number of steps. We first propose two P systems for computing multiple input logic functions. An input of the logic functions is a set of n binary numbers of m bits, and an output is a binary number defined by the logic functions. The first and second P systems compute AND and EX-OR functions for the input, and both of the P systems work in a constant number of steps by using O(mn) types of objects, a constant number of membranes, and evolution rules of size O(mn). Next, we propose a P system for the addition of two binary numbers of m bits. The P system works in a constant number of steps by using O(m) types of objects, a constant number of membranes and evolution rules of size O(m2). We also introduce a P system that computes the addition of two vectors of n binary numbers of m bits by using the above P system as a sub-system. The P system for vector addition works in a constant number of steps by using O(mn) types of objects, a constant number of membranes, and evolution rules of size O(m2n).

43

Chuman, Tadchanon, and Suchin Arunsawatwong. "Criterion of Approximation for Designing 2 × 2 Feedback Systems with Inputs Satisfying Bounding Conditions." ECTI Transactions on Electrical Engineering, Electronics, and Communications 13, no. 1 (November 11, 2014): 1–10. http://dx.doi.org/10.37936/ecti-eec.2015131.170968.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

A common practice in designing a feedback system with a non-rational transfer matrix is to replace the non-rational matrix with an appropriate rational approximant during the design process so that reliable and effcient computational tools for rational systems can be utilized. Consequently, a criterion of approximation is required to ensure that the controller obtained from the approximant still provides satisfactory results for the original system. This paper derives such a criterion for the case of two-input two-output feedback systems in which the design objective is to ensure that the errors and the controller outputs always stay within prescribed bounds whenever the inputs satisfy certain bounding conditions. For a given rational approximant matrix, the criterion is expressed as a set of inequalities that can be solved in practice. It will be seen that the criterion generalizes a known result for single-input single-output systems. Finally, a controller for a binary distillation column is designed by using the criterion in conjunction with the method of inequalities.

44

Huang, Li-xun, and Yong Fang. "Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Dropout Compensation." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/609284.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

The wireless remote iterative learning control (ILC) system with random data dropouts is considered. The data dropout is viewed as a binary switching sequence which obeys the Bernoulli distribution. In order to eliminate the effect of data dropouts on the convergence property of output error, the signal at the same time with the lost one but in the last iteration is used to compensate the data dropout at the actuator. With the dropout compensation, the convergence property of output error is analyzed by studying the element values of system transition matrix. Finally, some simulation results are given to illustrate the validity of the proposed method.

45

Karczmarek, P. "Contamination of RR Lyrae stars from Binary Evolution Pulsators." Advances in Astronomy and Space Physics 5, no. 1 (2015): 24–28. http://dx.doi.org/10.17721/2227-1481.5.24-28.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

A Binary Evolution Pulsator (BEP) is a low-mass (0.26 𝔐☉) member of a binary system, which pulsates as a result of a former mass transfer to its companion. The BEP mimics RR Lyrae-type pulsations, but has completely different internal structure and evolution history. Although there is only one known BEP (OGLE-BLG-RRLYR-02792), it has been estimated that approximately 0.2% of objects classified as RR Lyrae stars can be undetected Binary Evolution Pulsators. In the present work, this contamination value is re-evaluated using the population synthesis method. The output falls inside a range of values dependent on tuning the parameters in the StarTrack code, and varies from 0.06% to 0.43%.

46

KENNEDY, MICHAEL PETER. "A NONLINEAR DYNAMICS INTERPRETATION OF ALGORITHMIC A/D CONVERSION." International Journal of Bifurcation and Chaos 05, no. 03 (June 1995): 891–93. http://dx.doi.org/10.1142/s0218127495000685.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

An algorithmic A/D converter may be viewed as a discrete-time dynamical system. From this perspective, an ideal one bit recycling binary converter corresponds to the Bernouilli Shift map. An implementation of the tent map (by means of a folding circuit or otherwise) yields an algorithmic converter with Gray code output.

47

Fan, Jin Hong. "Transmission Scheme of MIMO Two-Way Relaying Systems Based on Symmetric Channel." Applied Mechanics and Materials 325-326 (June 2013): 452–55. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.452.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

There are fading and noise in MIMO two-way relaying system. A novel transmission scheme was proposed. The scheme performs equivalent to a 2×2 V-BLAST MIMO(Multiple-Input Multiple-Output) and a two 2×1 AlAMOUTI MISO(Multiple-Input Single-Output) in multiple-access phase and broadcast phase respectively. Network coding and minimum mean square error detection are employed at the relay. Binary phase shift keying and 8 phase shift keying modulation is used. The performance is analyzed under the assumption of a symmetric relay channel model. Simulation results show that the proposed transmission scheme can facilitate more reliable transmission.

48

Gao, Jiabao, Qingliang Liu, and Jinmei Lai. "An Approach of Binary Neural Network Energy-Efficient Implementation." Electronics 10, no. 15 (July 30, 2021): 1830. http://dx.doi.org/10.3390/electronics10151830.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

Binarized neural networks (BNNs), which have 1-bit weights and activations, are well suited for FPGA accelerators as their dominant computations are bitwise arithmetic, and the reduction in memory requirements means that all the network parameters can be stored in internal memory. However, the energy efficiency of these accelerators is still restricted by the abundant redundancies in BNNs. This hinders their deployment for applications in smart sensors and tiny devices because these scenarios have tight constraints with respect to energy consumption. To overcome this problem, we propose an approach to implement BNN inference while offering excellent energy efficiency for the accelerators by means of pruning the massive redundant operations while maintaining the original accuracy of the networks. Firstly, inspired by the observation that the convolution processes of two related kernels contain many repeated computations, we first build one formula to clarify the reusing relationships between their convolutional outputs and remove the unnecessary operations. Furthermore, by generalizing this reusing relationship to one tile of kernels in one neuron, we adopt an inclusion pruning strategy to further skip the superfluous evaluations of the neurons whose real output values can be determined early. Finally, we evaluate our system on the Zynq 7000 XC7Z100 FPGA platform. Our design can prune 51 percent of the operations without any accuracy loss. Meanwhile, the energy efficiency of our system is as high as 6.55 × 105 Img/kJ, which is 118× better than the best accelerator based on an NVDIA Tesla-V100 GPU and 3.6× higher than the state-of-the-art FPGA implementations for BNNs.

49

Wu, Guoqiang, Jianwei Zhang, and Yuguang Bai. "Robust Filtering for Networked Stochastic Systems Subject to Sensor Nonlinearity." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/868174.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

The problem of network-based robust filtering for stochastic systems with sensor nonlinearity is investigated in this paper. In the network environment, the effects of the sensor saturation, output quantization, and network-induced delay are taken into simultaneous consideration, and the output measurements received in the filter side are incomplete. The random delays are modeled as a linear function of the stochastic variable described by a Bernoulli random binary distribution. The derived criteria for performance analysis of the filtering-error system and filter design are proposed which can be solved by using convex optimization method. Numerical examples show the effectiveness of the design method.

50

Awwal, Abdul Ahad S., and Mohammad A. Karim. "Design of polarization-encoded optical shadow-casting logic units using truth-table partitioning." Canadian Journal of Physics 66, no. 10 (October 1, 1988): 841–43. http://dx.doi.org/10.1139/p88-137.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Abstract:

The input pixel size of a polarization-encoded optical shadow-casting logic system is reduced by means of truth-table partitioning. The proposed design algorithm is used to encode the inputs of a three-input, two-output binary full adder. A comparison with alternative designs proves that the technique leads to an improved memory-efficient optical computing unit.

Journal articles on the topic 'Binary output system'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles