Journal articles: 'Algorithm co-design'

1

Chen, Andrew, Rohaan Gupta, Anton Borzenko, Kevin Wang, and Morteza Biglari-Abhari. "Accelerating SuperBE with Hardware/Software Co-Design." Journal of Imaging 4, no. 10 (October 18, 2018): 122. http://dx.doi.org/10.3390/jimaging4100122.

Full text

Abstract:

Background Estimation is a common computer vision task, used for segmenting moving objects in video streams. This can be useful as a pre-processing step, isolating regions of interest for more complicated algorithms performing detection, recognition, and identification tasks, in order to reduce overall computation time. This is especially important in the context of embedded systems like smart cameras, which may need to process images with constrained computational resources. This work focuses on accelerating SuperBE, a superpixel-based background estimation algorithm that was designed for simplicity and reducing computational complexity while maintaining state-of-the-art levels of accuracy. We explore both software and hardware acceleration opportunities, converting the original algorithm into a greyscale, integer-only version, and using Hardware/Software Co-design to develop hardware acceleration components on FPGA fabric that assist a software processor. We achieved a 4.4× speed improvement with the software optimisations alone, and a 2× speed improvement with the hardware optimisations alone. When combined, these led to a 9× speed improvement on a Cyclone V System-on-Chip, delivering almost 38 fps on 320 × 240 resolution images.

APA, Harvard, Vancouver, ISO, and other styles

2

Drumond, Mario, Alexandros Daglis, Nooshin Mirzadeh, Dmitrii Ustiugov, Javier Picorel, Babak Falsafi, Boris Grot, and Dionisios Pnevmatikatos. "Algorithm/Architecture Co-Design for Near-Memory Processing." ACM SIGOPS Operating Systems Review 52, no. 1 (August 28, 2018): 109–22. http://dx.doi.org/10.1145/3273982.3273992.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Li, Min, Frederico Guimarães, and David A. Lowther. "Competitive co-evolutionary algorithm for constrained robust design." IET Science, Measurement & Technology 9, no. 2 (March 1, 2015): 218–23. http://dx.doi.org/10.1049/iet-smt.2014.0204.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

López, M., J. Daugman, and E. Cantó. "Hardware–software co-design of an iris recognition algorithm." IET Information Security 5, no. 1 (2011): 60. http://dx.doi.org/10.1049/iet-ifs.2009.0267.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Li, Shih-An, Chen-Chien Hsu, Ching-Chang Wong, and Chia-Jun Yu. "Hardware/software co-design for particle swarm optimization algorithm." Information Sciences 181, no. 20 (October 2011): 4582–96. http://dx.doi.org/10.1016/j.ins.2010.07.017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Krawczyk, Kamil, Paweł Tomaszewicz, and Mariusz Rawski. "Whirlpool SoPC Implementation - Hardware/Software Co-Design Example." International Journal of Electronics and Telecommunications 58, no. 1 (March 1, 2012): 21–26. http://dx.doi.org/10.2478/v10177-012-0003-9.

Full text

Abstract:

Whirlpool SoPC Implementation - Hardware/Software Co-Design Example The aim of this work was to design a System on Programmable Chip (SoPC), that implements the Whirlpool Hash Function (WHF) algorithm. An assumption of the project was to use an embedded soft-processor NIOS II controlling the whole system, which functionality was extended by a custom logic in order to improve the used algorithm efficiency. This paper presents the Whirlpool Hash Function realized in several SoPC configurations, which differ in implementation complexity and performance.

APA, Harvard, Vancouver, ISO, and other styles

7

Byun, Kwang-Sub, Chang-Hyun Park, and Kwee-Bo Sim. "Co-Evolution of Fuzzy Controller for the Mobile Robot Control." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 4 (July 20, 2004): 356–61. http://dx.doi.org/10.20965/jaciii.2004.p0356.

Full text

Abstract:

In this paper, we design the fuzzy rules using a modified Nash Genetic Algorithm. Fuzzy rules consist of antecedents and consequents. Because this paper uses the simplified method of Sugeno for the fuzzy inference engine, consequents have not membership functions but constants. Therefore, each fuzzy rule in this paper consists of a membership function in the antecedent and a constant value in the consequent. The main problem in fuzzy systems is how to design the fuzzy rule base. Modified Nash GA coevolves membership functions and parameters in consequents of fuzzy rules. We demonstrate this co-evolutionary algorithm and apply to the design of the fuzzy controller for a mobile robot. From the result of simulation, we compare modified Nash GA with the other co-evolution algorithms and verify the efficacy of this algorithm.

APA, Harvard, Vancouver, ISO, and other styles

8

Raghunathan, Shriram, Sumeet K. Gupta, Himanshu S. Markandeya, Kaushik Roy, and Pedro P. Irazoqui. "A hardware-algorithm co-design approach to optimize seizure detection algorithms for implantable applications." Journal of Neuroscience Methods 193, no. 1 (October 2010): 106–17. http://dx.doi.org/10.1016/j.jneumeth.2010.08.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Alecsa, Bogdan, and Alexandru Onea. "Hardware-Software Co-Design for BLDC Motor Speed Controller Design." Advanced Materials Research 463-464 (February 2012): 1256–59. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1256.

Full text

Abstract:

This paper proposes a combined hardware-software approach for a controller design. The case of a brushless DC (BLDC) motor speed controller is studied. A hardware controller is implemented inside a field programmable gate array (FPGA) device, together with soft core processors that implement by software non-critical tasks, like liquid crystal display (LCD) interface and serial data communication to a host computer. This way, the control algorithm is executed in hardware, as fast as possible, while the monitoring tasks are performed by the software. Experimental results are provided, showing the working design.

APA, Harvard, Vancouver, ISO, and other styles

10

Benxian Yue, Yishou Wang, Yanjun Shi, and Hongfei Teng. "Satellite Payloads Configuration and Layout Design Using Co-evolutionary Algorithm." International Journal of Advancements in Computing Technology 3, no. 11 (December 31, 2011): 223–30. http://dx.doi.org/10.4156/ijact.vol3.issue11.28.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Zhang, Xinyi, Yawen Wu, Peipei Zhou, Xulong Tang, and Jingtong Hu. "Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices." ACM Transactions on Embedded Computing Systems 20, no. 5s (October 31, 2021): 1–24. http://dx.doi.org/10.1145/3477002.

Full text

Abstract:

Multi-head self-attention (attention mechanism) has been employed in a variety of fields such as machine translation, language modeling, and image processing due to its superiority in feature extraction and sequential data analysis. This is benefited from a large number of parameters and sophisticated model architecture behind the attention mechanism. To efficiently deploy attention mechanism on resource-constrained devices, existing works propose to reduce the model size by building a customized smaller model or compressing a big standard model. A customized smaller model is usually optimized for the specific task and needs effort in model parameters exploration. Model compression reduces model size without hurting the model architecture robustness, which can be efficiently applied to different tasks. The compressed weights in the model are usually regularly shaped (e.g. rectangle) but the dimension sizes vary (e.g. differs in rectangle height and width). Such compressed attention mechanism can be efficiently deployed on CPU/GPU platforms as their memory and computing resources can be flexibly assigned with demand. However, for Field Programmable Gate Arrays (FPGAs), the data buffer allocation and computing kernel are fixed at run time to achieve maximum energy efficiency. After compression, weights are much smaller and different in size, which leads to inefficient utilization of FPGA on-chip buffer. Moreover, the different weight heights and widths may lead to inefficient FPGA computing kernel execution. Due to the large number of weights in the attention mechanism, building a unique buffer and computing kernel for each compressed weight on FPGA is not feasible. In this work, we jointly consider the compression impact on buffer allocation and the required computing kernel during the attention mechanism compressing. A novel structural pruning method with memory footprint awareness is proposed and the associated accelerator on FPGA is designed. The experimental results show that our work can compress Transformer (an attention mechanism based model) by 95x. The developed accelerator can fully utilize the FPGA resource, processing the sparse attention mechanism with the run-time throughput performance of 1.87 Tops in ZCU102 FPGA.

APA, Harvard, Vancouver, ISO, and other styles

12

Lee, Gwo Giun, Ming-Jiun Wang, Bo-Han Chen, JiunFu Chen, Ping-Keng Jao, Ching Jui Hsiao, and Ling-Fei Wei. "Reconfigurable Architecture for Deinterlacer based on Algorithm/Architecture Co-Design." Journal of Signal Processing Systems 63, no. 2 (June 26, 2009): 181–89. http://dx.doi.org/10.1007/s11265-009-0388-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Grout, Ian Andrew, and Lenore Mullin. "Realizing Mathematics of Arrays Operations as Custom Architecture Hardware-Software Co-Design Solutions." Information 13, no. 11 (November 4, 2022): 528. http://dx.doi.org/10.3390/info13110528.

Full text

Abstract:

In embedded electronic system applications being developed today, complex datasets are required to be obtained, processed, and communicated. These can be from various sources such as environmental sensors, still image cameras, and video cameras. Once obtained and stored in electronic memory, the data is accessed and processed using suitable mathematical algorithms. How the data are stored, accessed, processed, and communicated will impact on the cost to process the data. Such algorithms are traditionally implemented in software programs that run on a suitable processor. However, different approaches can be considered to create the digital system architecture that would consist of the memory, processing, and communications operations. When considering the mathematics at the centre of the design making processes, this leads to system architectures that can be optimized for the required algorithm or algorithms to realize. Mathematics of Arrays (MoA) is a class of operations that supports n-dimensional array computations using array shapes and indexing of values held within the array. In this article, the concept of MoA is considered for realization in software and hardware using Field Programmable Gate Array (FPGA) and Application Specific Integrated Circuit (ASIC) technologies. The realization of MoA algorithms will be developed along with the design choices that would be required to map a MoA algorithm to hardware, software or hardware-software co-designs.

APA, Harvard, Vancouver, ISO, and other styles

14

Hou, Neng, Xiaohu Yan, and Fazhi He. "A survey on partitioning models, solution algorithms and algorithm parallelization for hardware/software co-design." Design Automation for Embedded Systems 23, no. 1-2 (April 30, 2019): 57–77. http://dx.doi.org/10.1007/s10617-019-09220-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Ismael, Sarmad, Omar Tareq, and Yahya Taher Qassim. "Hardware/software co-design for a parallel three-dimensional bresenham’s algorithm." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (February 1, 2019): 148. http://dx.doi.org/10.11591/ijece.v9i1.pp148-156.

Full text

Abstract:

<p>Line plotting is the one of the basic operations in the scan conversion. Bresenham’s line drawing algorithm is an efficient and high popular algorithm utilized for this purpose. This algorithm starts from one end-point of the line to the other end-point by calculating one point at each step. As a result, the calculation time for all the points depends on the length of the line thereby the number of the total points presented. In this paper, we developed an approach to speed up the Bresenham algorithm by partitioning each line into number of segments, find the points belong to those segments and drawing them simultaneously to formulate the main line. As a result, the higher number of segments generated, the faster the points are calculated. By employing 32 cores in the Field Programmable Gate Array, a line of length 992 points is formulated in 0.31μs only. The complete system is implemented using Zybo board that contains the Xilinx Zynq-7000 chip (Z-7010).<em></em></p>

APA, Harvard, Vancouver, ISO, and other styles

16

ANDO, Kota, Kodai UEYOSHI, Yuka OBA, Kazutoshi HIROSE, Ryota UEMATSU, Takumi KUDO, Masayuki IKEBE, Tetsuya ASAI, Shinya TAKAMAEDA-YAMAZAKI, and Masato MOTOMURA. "Dither NN: Hardware/Algorithm Co-Design for Accurate Quantized Neural Networks." IEICE Transactions on Information and Systems E102.D, no. 12 (December 1, 2019): 2341–53. http://dx.doi.org/10.1587/transinf.2019pap0009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Babu, S. Aravind. "Design of Parallel Architecture Co-Processor for Particle Swarm Optimization Algorithm." Indian Journal of Science and Technology 9, no. 1 (January 20, 2016): 1–7. http://dx.doi.org/10.17485/ijst/2015/v8i36/90316.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Schumann, Thomas, Herbert Krauß, Yeong Kang Lai, and Yu Fan Lai. "Hardware/Software Co-Design of 2D-to-3D Video Conversion on FPGA." Applied Mechanics and Materials 284-287 (January 2013): 3230–34. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3230.

Full text

Abstract:

With advances in technology, 3D video technology becomes possible and attractive. However, there are still many pre-recorded 2D videos/images which need to get transferred to 3D. Hence this paper presents a high quality view synthesis algorithm and architecture for 2D-to-3D video conversion. During the process of view synthesis, the monocular depth information together with the intermediate view is synthesized to the left-eye and right-eye view. The proposed view synthesis algorithm consists of two parts: 3D image warping and inpainting (hole filling). 3D image warping transforms a 2D camera image plane to a 3D coordinate plane. However the integer grid points of the reference are warped to irregularly spaced points in the virtual view, resulting in occlusion problems. Thus inpainting is needed to fix the virtual images. The proposed algorithm shows an improved PSNR gain of 0.2~1.5dB. We adopt hardware/software co-design to accomplish the proposed view synthesis algorithm. For this we implemented the image inpainting on a FPGA device and the remaining algorithm in software.

APA, Harvard, Vancouver, ISO, and other styles

19

Dekker, Rianne, Paul Koot, S. Ilker Birbil, and Mark van Embden Andres. "Co-designing algorithms for governance: Ensuring responsible and accountable algorithmic management of refugee camp supplies." Big Data & Society 9, no. 1 (January 2022): 205395172210878. http://dx.doi.org/10.1177/20539517221087855.

Full text

Abstract:

There is increasing criticism on the use of big data and algorithms in public governance. Studies revealed that algorithms may reinforce existing biases and defy scrutiny by public officials using them and citizens subject to algorithmic decisions and services. In response, scholars have called for more algorithmic transparency and regulation. These are useful, but ex post solutions in which the development of algorithms remains a rather autonomous process. This paper argues that co-design of algorithms with relevant stakeholders from government and society is another means to achieve responsible and accountable algorithms that is largely overlooked in the literature. We present a case study of the development of an algorithmic tool to estimate the populations of refugee camps to manage the delivery of emergency supplies. This case study demonstrates how in different stages of development of the tool—data selection and pre-processing, training of the algorithm and post-processing and adoption—inclusion of knowledge from the field led to changes to the algorithm. Co-design supported responsibility of the algorithm in the selection of big data sources and in preventing reinforcement of biases. It contributed to accountability of the algorithm by making the estimations transparent and explicable to its users. They were able to use the tool for fitting purposes and used their discretion in the interpretation of the results. It is yet unclear whether this eventually led to better servicing of refugee camps.

APA, Harvard, Vancouver, ISO, and other styles

20

WEI, WENLONG, BIN LI, YI ZOU, WENCONG ZHANG, and ZHENQUAN ZHUANG. "A MULTI-OBJECTIVE HW–SW CO-SYNTHESIS ALGORITHM BASED ON QUANTUM-INSPIRED EVOLUTIONARY ALGORITHM." International Journal of Computational Intelligence and Applications 07, no. 02 (June 2008): 129–48. http://dx.doi.org/10.1142/s146902680800220x.

Full text

Abstract:

Hardware–Software (HW–SW) co-synthesis is one of the key steps in modern embedded system design. Generally, HW–SW co-synthesis is to optimally allocate processors, assign tasks to processors, and schedule the processing of tasks to achieve a good balance among performance, cost, power consumption, etc. Hence, it is a typical multi-objective optimization problem. In this paper, a new multi-objective HW–SW co-synthesis algorithm based on the quantum-inspired evolutionary algorithm (MQEAC) is proposed. MQEAC utilizes multiple quantum probability amplitude vectors to model the promising areas of solution space. Meanwhile, this paper presents a new crossover operator to accelerate the convergence to the Pareto front and introduces a PE slot-filling strategy to improve the efficiency of scheduling. Experimental results show that the proposed algorithm can solve the typical multi-objective co-synthesis problems effectively and efficiently.

APA, Harvard, Vancouver, ISO, and other styles

21

Liu, Bingfei, and Fuxing Chen. "Optimization design of the acoustic metamaterial based on the co-simulation method." AIP Advances 12, no. 7 (July 1, 2022): 075317. http://dx.doi.org/10.1063/5.0093762.

Full text

Abstract:

Once the structure of a metamaterial is fixed, it has the property of controlling elastic waves in a fixed frequency range. To obtain a metamaterial with an optimal structure, a co-simulation optimization method is proposed in this paper to optimize the acoustic properties of metamaterials. The method combines the advantages of COMSOL, MATLAB, and ISIGHT to obtain optimal results. Due to the application of the algorithms in ISIGHT, different design requirements can be met, such as designing the bandgap frequency of the acoustic metamaterial in a specific range, reducing the frequency of the bandgap, and improving the overall performance of the STL (sound transmission loss) without manual tuning. To test the feasibility of the method, a new double-panel acoustic metamaterial is also proposed, where the bandgap interval of the metamaterial can be designed to nearly 240 Hz by using the thickness of the support columns and the structural parameters of the open split-ring resonance as bandgap optimization parameters. The bandgap interval can also be lowered from 174 to 193 Hz when different optimization targets are chosen. In addition, the overall performance of the STL can be optimized, showing better absorption of low-frequency noise. Therefore, this co-simulation method can achieve multi-parameter optimization for different optimization targets and ensure that the results obtained by the applied algorithm are optimal. Furthermore, this method has great potential in further development as it avoids complex algorithm programming.

APA, Harvard, Vancouver, ISO, and other styles

22

Ayodele, Bamidele, Siti Mustapa, May Alsaffar, and Chin Cheng. "Artificial Intelligence Modelling Approach for the Prediction of CO-Rich Hydrogen Production Rate from Methane Dry Reforming." Catalysts 9, no. 9 (August 31, 2019): 738. http://dx.doi.org/10.3390/catal9090738.

Full text

Abstract:

This study investigates the applicability of the Leven–Marquardt algorithm, Bayesian regularization, and a scaled conjugate gradient algorithm as training algorithms for an artificial neural network (ANN) predictively modeling the rate of CO and H2 production by methane dry reforming over a Co/Pr2O3 catalyst. The dataset employed for the ANN modeling was obtained using a central composite experimental design. The input parameters consisted of CH4 partial pressure, CO2 partial pressure, and reaction temperature, while the target parameters included the rate of CO and H2 production. A neural network architecture of 3 13 2, 3 15 2, and 3 15 2 representing the input layer, hidden neuron layer, and target (output) layer were employed for the Leven–Marquardt, Bayesian regularization, and scaled conjugate gradient training algorithms, respectively. The ANN training with each of the algorithms resulted in an accurate prediction of the rate of CO and H2 production. The best prediction was, however, obtained using the Bayesian regularization algorithm with the lowest standard error of estimates (SEE). The high values of coefficient of determination (R2 > 0.9) obtained from the parity plots are an indication that the predicted rates of CO and H2 production were strongly correlated with the observed values.

APA, Harvard, Vancouver, ISO, and other styles

23

Kang, Zheqing. "Design and Application of Cloud Resource-Based Ideological and Political Online Course Resource Platform." Mathematical Problems in Engineering 2022 (June 8, 2022): 1–8. http://dx.doi.org/10.1155/2022/3034102.

Full text

Abstract:

Online teaching platforms have been popularized and promoted as a result of the development of network information technology, and colleges and universities encourage teachers to use a variety of network teaching platforms to innovate teaching models and improve teaching effectiveness. Using an ideological and political online course as an example, it analyzes the teaching design concepts, instructional effects, and existing problems on the online learning platform, and extracts recommendations for online course construction that have a specific reference for online course teaching. Additionally, aiming at the multiobjective cloud resource scheduling problem, this article aims to optimize the total completion time and total execution cost of the task. It does so by utilizing fuzzy mathematics, establishing a fuzzy cloud resource scheduling model, and proposing a hybrid intelligent optimization algorithm CO. The CO algorithm is validated by randomly generating cloud-computing resource scheduling data using the CloudSim simulation platform. The experimental results indicate that the CO algorithm outperforms traditional cloud resource scheduling algorithms in terms of optimization and load balancing performance.

APA, Harvard, Vancouver, ISO, and other styles

24

Nguyen, Du Duc, and Phong Dinh Pham. "A Co-optimization PSO for Fuzzy Rule-Based Classifier Design Problem Based on Enlarged Hedge Algebras." Periodica Polytechnica Electrical Engineering and Computer Science 65, no. 4 (October 29, 2021): 290–301. http://dx.doi.org/10.3311/ppee.16141.

Full text

Abstract:

Fuzzy Rule-Based Classifier (FRBC) design problem has been widely studied due to many practical applications. Hedge Algebras based Classifier Design Methods (HACDMs) are the outstanding and effective approaches because these approaches based on a mathematical formal formalism allowing the fuzzy sets based computational semantics generated from their inherent qualitative semantics of linguistic terms. HACDMs include two phase optimization process. The first phase is to optimize the semantic parameter values by applying an optimization algorithm. Then, in the second phase, the optimal fuzzy rule based system for FRBC is extracted based on the optimal semantic parameter values provided by the first phase. The performance of FRBC design methods depends on the quality of the applied optimization algorithms. This paper presents our proposed co-optimization Particle Swarm Optimization (PSO) algorithm for designing FRBC with trapezoidal fuzzy sets based computational semantics generated by Enlarged Hedge Algebras (EHAs). The results of experiments executed over 23 real world datasets have shown that Enlarged Hedge Algebras based classifier with our proposed co-optimization PSO algorithm outperforms the existing classifiers which are designed based on Enlarged Hedge Algebras methodology with two phase optimization process and the existing fuzzy set theory based classifiers.

APA, Harvard, Vancouver, ISO, and other styles

25

Nguyen, Du Duc, and Phong Dinh Pham. "A Co-optimization PSO for Fuzzy Rule-Based Classifier Design Problem Based on Enlarged Hedge Algebras." Periodica Polytechnica Electrical Engineering and Computer Science 65, no. 4 (October 29, 2021): 290–301. http://dx.doi.org/10.3311/ppee.16141.

Full text

Abstract:

Fuzzy Rule-Based Classifier (FRBC) design problem has been widely studied due to many practical applications. Hedge Algebras based Classifier Design Methods (HACDMs) are the outstanding and effective approaches because these approaches based on a mathematical formal formalism allowing the fuzzy sets based computational semantics generated from their inherent qualitative semantics of linguistic terms. HACDMs include two phase optimization process. The first phase is to optimize the semantic parameter values by applying an optimization algorithm. Then, in the second phase, the optimal fuzzy rule based system for FRBC is extracted based on the optimal semantic parameter values provided by the first phase. The performance of FRBC design methods depends on the quality of the applied optimization algorithms. This paper presents our proposed co-optimization Particle Swarm Optimization (PSO) algorithm for designing FRBC with trapezoidal fuzzy sets based computational semantics generated by Enlarged Hedge Algebras (EHAs). The results of experiments executed over 23 real world datasets have shown that Enlarged Hedge Algebras based classifier with our proposed co-optimization PSO algorithm outperforms the existing classifiers which are designed based on Enlarged Hedge Algebras methodology with two phase optimization process and the existing fuzzy set theory based classifiers.

APA, Harvard, Vancouver, ISO, and other styles

26

Sim, Kwee-Bo, and Kwang-Sub Byun. "Optimal Design of the 2-Layer Fuzzy Controller using the Schema Co-Evolutionary Algorithm." Journal of Korean Institute of Intelligent Systems 14, no. 2 (April 1, 2004): 228–33. http://dx.doi.org/10.5391/jkiis.2004.14.2.228.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Ghaffari, Sina, Parastoo Soleimani, Kin Fun Li, and David W. Capson. "A Novel Hardware–Software Co-Design and Implementation of the HOG Algorithm." Sensors 20, no. 19 (October 2, 2020): 5655. http://dx.doi.org/10.3390/s20195655.

Full text

Abstract:

The histogram of oriented gradients is a commonly used feature extraction algorithm in many applications. Hardware acceleration can boost the speed of this algorithm due to its large number of computations. We propose a hardware–software co-design of the histogram of oriented gradients and the subsequent support vector machine classifier, which can be used to process data from digital image sensors. Our main focus is to minimize the resource usage of the algorithm while maintaining its accuracy and speed. This design and implementation make four contributions. First, we allocate the computationally expensive steps of the algorithm, including gradient calculation, magnitude computation, bin assignment, normalization and classification, to hardware, and the less complex windowing step to software. Second, we introduce a logarithm-based bin assignment. Third, we use parallel computation and a time-sharing protocol to create a histogram in order to achieve the processing of one pixel per clock cycle after the initialization (setup time) of the pipeline, and produce valid results at each clock cycle afterwards. Finally, we use a simplified block normalization logic to reduce hardware resource usage while maintaining accuracy. Our design attains a frame rate of 115 frames per second on a Xilinx® Kintex® Ultrascale™ FPGA while using less hardware resources, and only losing accuracy marginally, in comparison with other existing work.

APA, Harvard, Vancouver, ISO, and other styles

28

Linh, Tuan, and Yukinobu Hoshino. "Improved PSO Algorithm for Training of Neural Network in Co-design Architecture." International Journal of Computer Applications 182, no. 44 (March 15, 2019): 1–7. http://dx.doi.org/10.5120/ijca2019918583.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Yin, Haoteng, Muhan Zhang, Yanbang Wang, Jianguo Wang, and Pan Li. "Algorithm and system co-design for efficient subgraph-based graph representation learning." Proceedings of the VLDB Endowment 15, no. 11 (July 2022): 2788–96. http://dx.doi.org/10.14778/3551793.3551831.

Full text

Abstract:

Subgraph-based graph representation learning (SGRL) has been recently proposed to deal with some fundamental challenges encountered by canonical graph neural networks (GNNs), and has demonstrated advantages in many important data science applications such as link, relation and motif prediction. However, current SGRL approaches suffer from scalability issues since they require extracting subgraphs for each training or test query. Recent solutions that scale up canonical GNNs may not apply to SGRL. Here, we propose a novel framework SUREL for scalable SGRL by co-designing the learning algorithm and its system support. SUREL adopts walk-based decomposition of subgraphs and reuses the walks to form subgraphs, which substantially reduces the redundancy of subgraph extraction and supports parallel computation. Experiments over six homogeneous, heterogeneous and higher-order graphs with millions of nodes and edges demonstrate the effectiveness and scalability of SUREL. In particular, compared to SGRL baselines, SUREL achieves 10X speed-up with comparable or even better prediction performance; while compared to canonical GNNs, SUREL achieves 50% prediction accuracy improvement.

APA, Harvard, Vancouver, ISO, and other styles

30

Zhou, Wenqian. "Fast Implementation of Genetic Algorithm Based on Software/Hardware Co-design Method." Journal of Physics: Conference Series 1952, no. 3 (June 1, 2021): 032044. http://dx.doi.org/10.1088/1742-6596/1952/3/032044.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Guicquero, William, Antoine Dupret, and Pierre Vandergheynst. "An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging." IEEE Transactions on Computational Imaging 2, no. 3 (September 2016): 190–203. http://dx.doi.org/10.1109/tci.2016.2557073.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Zhang, Xuchong, He Dai, Hongbin Sun, and Nanning Zheng. "Algorithm and VLSI Architecture Co-Design on Efficient Semi-Global Stereo Matching." IEEE Transactions on Circuits and Systems for Video Technology 30, no. 11 (November 2020): 4390–403. http://dx.doi.org/10.1109/tcsvt.2019.2957275.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Chen, Yi-Jung, Chia-Lin Yang, and Yen-Sheng Chang. "An architectural co-synthesis algorithm for energy-aware Network-on-Chip design." Journal of Systems Architecture 55, no. 5-6 (May 2009): 299–309. http://dx.doi.org/10.1016/j.sysarc.2009.02.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

König, Joachim, and Lothar Thiele. "Algorithm-architecture co-design by example: a coprocessor for on-line arithmetic." Microprocessing and Microprogramming 41, no. 5-6 (October 1995): 339–57. http://dx.doi.org/10.1016/0165-6074(95)00020-o.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Sabir, Brahim, Yassine Khazri, Mohamed Moussetad, and Bouzekri Touri. "Hardware and Software Co-Design of Arabic Alphabets Recognition Platform for Blind and Visually Impaired Persons." Open Electrical & Electronic Engineering Journal 11, no. 1 (November 16, 2017): 193–200. http://dx.doi.org/10.2174/1874129001711010193.

Full text

Abstract:

Background:Optical character Recognition (OCR) is a technic that converts scanned or printed text images into editable text. Many OCR solutions have been proposed and used for Latin and Chinese alphabets.However not much can be found about OCRs for the handwriting scripts Arabic Alphabets, and especially to be used for blind and visually impaired persons.This paper has been an attempt towards the development of an OCR for Arabic Alphabets dedicated to blind and visually impaired persons.Method:The proposed Optical Arabic Alphabets Recognition algorithm includes binarization of the inputted image, segmentation, feature extraction and a classification based on neural networks to match read Arabic alphabets with trained pattern.The proposed algorithm has been developed using Matlab, and the solution was designed to be implemented on hardware platform and can be customized for mobile phones.Conclusion:The presented method has the benefit that the accuracy of recognition is comparable to other OCR algorithms.

APA, Harvard, Vancouver, ISO, and other styles

36

Li, Yun, Lingxia Liao, Shanlin Sun, Zhicheng Tan, and Xing Yao. "Pilot design for underwater MIMO cosparse channel estimation based on compressed sensing." International Journal of Distributed Sensor Networks 17, no. 6 (June 2021): 155014772110178. http://dx.doi.org/10.1177/15501477211017825.

Full text

Abstract:

In multiple-input multiple-output–orthogonal frequency-division multiplexing underwater acoustic communication systems, the correlation of the sampling matrix is the key of the channel estimation algorithm based on compressed sensing. To reduce the cross-correlation of the sampling matrix and improve the channel estimation performance, a pilot design algorithm for co-sparse channel estimation based on compressed sensing is proposed in this article. Based on the time-domain correlation of the channel, the channel estimation is modeled as a common sparse signal reconstruction problem. When replacing each pilot indices position, the algorithm selects multiple pilot indices with the least cross-correlation from the alternative positions to replace the current pilot indices position, and it uses the inner and outer two-layer loops to realize the bit-by-bit optimal replacement of the pilot. The simulation results show that the channel estimation mean squared error of pilot design algorithm for co-sparse channel estimation based on compressed sensing can be reduced by approximately 18 dB compared with the least square algorithm. Compared with the genetic algorithm and search space size methods, the structural sequence search proposed by pilot design algorithm for co-sparse channel estimation based on compressed sensing is used to design the pilot to complete the channel estimation. Thus, the mean squared error of the channel estimation can be reduced by 2 dB. At the same bit error rate of 0.03, the signal-to-noise ratio can be decreased by approximately 7 dB.

APA, Harvard, Vancouver, ISO, and other styles

37

JOHNSTON, S. P., G. PRASAD, L. MAGUIRE, and T. M. MCGINNITY. "AN FPGA HARDWARE/SOFTWARE CO-DESIGN TOWARDS EVOLVABLE SPIKING NEURAL NETWORKS FOR ROBOTICS APPLICATION." International Journal of Neural Systems 20, no. 06 (December 2010): 447–61. http://dx.doi.org/10.1142/s0129065710002541.

Full text

Abstract:

This paper presents an approach that permits the effective hardware realization of a novel Evolvable Spiking Neural Network (ESNN) paradigm on Field Programmable Gate Arrays (FPGAs). The ESNN possesses a hybrid learning algorithm that consists of a Spike Timing Dependent Plasticity (STDP) mechanism fused with a Genetic Algorithm (GA). The design and implementation direction utilizes the latest advancements in FPGA technology to provide a partitioned hardware/software co-design solution. The approach achieves the maximum FPGA flexibility obtainable for the ESNN paradigm. The algorithm was applied as an embedded intelligent system robotic controller to solve an autonomous navigation and obstacle avoidance problem.

APA, Harvard, Vancouver, ISO, and other styles

38

Khoud, Khaled Ben, Soufiene Bouallègue, and Mounir Ayadi. "Design and co-simulation of a fuzzy gain-scheduled PID controller based on particle swarm optimization algorithms for a quad tilt wing unmanned aerial vehicle." Transactions of the Institute of Measurement and Control 40, no. 14 (January 8, 2018): 3933–52. http://dx.doi.org/10.1177/0142331217740947.

Full text

Abstract:

This paper deals with the systematic design and hardware co-simulation of a fuzzy gain-scheduled proportional–integral–derivative (GS-PID) controller for a quad tilt wing (QTW) type of unmanned aerial vehicles (UAVs) based on different variants of the particle swarm optimization (PSO) algorithm. The fuzzy PID gains scheduling problem for the stabilization of the roll, pitch and yaw dynamics of the QTW vehicle is formulated as a constrained optimization problem and solved thanks to improved PSO algorithms. PSO algorithms with variable inertia weight (PSO-In), PSO with constriction factor (PSO-Co) and PSO with possibility updating strategies (PSO-gbest) are proposed. Such variants of the PSO algorithm aim further to improve the exploration and exploitation capabilities of such a stochastic algorithm as well as its convergence fastness. The robustness of the designed PSO-based fuzzy GS-PID controllers under actuators faults is shown on the non-linear model of the QTW. All optimized fuzzy GS-PID controllers are then co-simulated within a processor-in-the-loop (PIL) framework based on an embedded NI myRIO-1900 board and a host PC. Such a proposed software (SW) and hardware (HW) computer aided design (CAD) platform is based on the Control Design and Simulation (CDSim) module of the LabVIEW environment as well as a set-up Network Streams-based data communication protocol. Demonstrative simulation results are presented, compared and discussed in order to improve the effectiveness of the proposed PSO-based fuzzy gains scheduled PID controllers for the QTW’s attitude flight stabilization.

APA, Harvard, Vancouver, ISO, and other styles

39

Mukhlish, Faqihza, John Page, and Michael Bain. "Reward-based epigenetic learning algorithm for a decentralised multi-agent system." International Journal of Intelligent Unmanned Systems 8, no. 3 (April 13, 2020): 201–24. http://dx.doi.org/10.1108/ijius-12-2018-0036.

Full text

Abstract:

PurposeThis paper aims to propose a novel epigenetic learning (EpiLearn) algorithm, which is designed specifically for a decentralised multi-agent system such as swarm robotics.Design/methodology/approachFirst, this paper begins with overview of swarm robotics and the challenges in designing swarm behaviour automatically. This should indicate the direction of improvements required to enhance an automatic swarm design. Second, the evolutionary learning (EpiLearn) algorithm for a swarm system using an epigenetic layer is formulated and discussed. The algorithm is then tested through various test functions to investigate its performance. Finally, the results are discussed along with possible future research directions.FindingsThrough various test functions, the algorithm can solve non-local and many local minima problems. This article also shows that by using a reward system, the algorithm can handle the deceptive problem which often occurs in dynamic problems. Moreover, utilization of rewards from the environment in the form of a methylation process on the epigenetic layer improves the performance of traditional evolutionary algorithms applied to automatic swarm design. Finally, this article shows that a regeneration process that embeds an epigenetic layer in the inheritance process performs better than a traditional crossover operator in a swarm system.Originality/valueThis paper proposes a novel method for automatic swarm design by taking into account the importance of multi-agent settings and environmental characteristics surrounding the swarm. The novel evolutionary learning (EpiLearn) algorithm using an epigenetic layer gives the swarm the ability to perform co-evolution and co-learning.

APA, Harvard, Vancouver, ISO, and other styles

40

Azzam, M. Abdullah, Uzma Batool, and Hilman Fauzi. "Design of an Helical Spring using Single-solution Simulated Kalman Filter Optimizer." Mekatronika 1, no. 2 (July 15, 2019): 93–97. http://dx.doi.org/10.15282/mekatronika.v1i2.4990.

Full text

Abstract:

Optimization is one of the important process in solving engineering problems. Regrettably, there are numerous problems in practical optimization that cannot be solved flawlessly within reasonable computational effort. Thus, metaheuristic approach is often useful to get near-optimal solution when the best solution is not achievable. This paper demonstrates the usefullness of a metaheuristic algorithm called single-solution simulated Kalman filter (ssSKF) in helical spring design, which is an example of structural engineering design problem. The ssSKF is a single agent-based optimization algorithm based on the Kalman filtering. The solution obtained by the ssSKF is compared againsts the genetic algorithm, co-evolutionary particle swarm optimization, co-evolutionary differential evolution, bat algorithm, and artificial bee colony.

APA, Harvard, Vancouver, ISO, and other styles

41

Ali, Saddaqat, Jahangir Badar, Faheem Akhter, Syed Sabir Hussain Bukhari, and Jong-Suk Ro. "Real-Time Controller Design Test Bench for High-Voltage Direct Current Modular Multilevel Converters." Applied Sciences 10, no. 17 (August 29, 2020): 6004. http://dx.doi.org/10.3390/app10176004.

Full text

Abstract:

Modular multilevel converters (MMCs), with their inherent features and advantages over other conventional converters, have gained popularity and remain an ongoing topic of research. Many scholars have solved issues related to the operation, control, protection, and reliability of MMCs using simulation software and small hardware prototypes. We propose a novel approach for an MMC controller design with real-time systems. By utilizing a key benefit of LabVIEW Multisim co-simulation, an MMC control algorithm that can be deployed on a field-programmable gate array (FPGA) was developed in LabVIEW. The complete circuit was designed in Multisim, and a co-simulation was performed to drive an MMC model. The benefit of this topology is that control algorithms can be designed in a LabVIEW FPGA and tested with the Multisim co-simulation circuit to obtain simulation results. Once the controller works and provides satisfactory results, the same algorithm can be deployed in any NI (National Instruments) FPGA-based controller, like a compact remote input/output (RIO), to control real-time MMCs designed in an NI PCI eXtensions for Instrumentation (PXI) system. This method saves time and provides flexibility for effectively designing control algorithms and implementing them in an FPGA for real-time model implementation.

APA, Harvard, Vancouver, ISO, and other styles

42

Xiao, Hao, Yuxuan Liu, Zhenmin Li, and Guangzhu Liu. "Algorithm-hardware co-design of ultra-high radix based high throughput modular multiplier." IEICE Electronics Express 18, no. 10 (May 25, 2021): 20210135. http://dx.doi.org/10.1587/elex.18.20210135.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Farag, A. O. "A Unified Approach To Control Design Using A Cooperative Co-Evolutionary Bisection Algorithm." IFAC Proceedings Volumes 41, no. 2 (2008): 12303–11. http://dx.doi.org/10.3182/20080706-5-kr-1001.02083.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Chen, Rong. "Optimal Co-Design of Control Algorithm and Bandwidth Scheduling for Networked Control Systems." Advanced Materials Research 314-316 (August 2011): 2124–31. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.2124.

Full text

Abstract:

The performance of Networked Control System (NCS) is not only determined by controller, but also by network QoS. In this paper, aiming at the bandwidth scheduling problem of multiple closed loop control system, an approximate linear function of continuous system performance with delay and sample period is proposed firstly, and then the optimal scheduling algorithm under both non-preemptive rate monotonic (NPRM) schedulability constraint and NCS stability constraint is proposed which is to optimize the overall performance of NCS. Moreover, an algorithm of sample periods harmonization is presented to improve the bandwidth utilization. A reservation-based schedule of non-period data is also taken into account. Finally, an integrated simulation platform based on Truetime is present, and the experimental results show that the scheme is more effective than the former ones.

APA, Harvard, Vancouver, ISO, and other styles

45

An, Fengwei, and Hans Jürgen Mattausch. "K-means clustering algorithm for multimedia applications with flexible HW/SW co-design." Journal of Systems Architecture 59, no. 3 (March 2013): 155–64. http://dx.doi.org/10.1016/j.sysarc.2012.11.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Rettkowski, Jens, Andrew Boutros, and Diana Göhringer. "HW/SW Co-Design of the HOG algorithm on a Xilinx Zynq SoC." Journal of Parallel and Distributed Computing 109 (November 2017): 50–62. http://dx.doi.org/10.1016/j.jpdc.2017.05.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Yan, Xiaohu, Fazhi He, Neng Hou, and Haojun Ai. "An Efficient Particle Swarm Optimization for Large-Scale Hardware/Software Co-Design System." International Journal of Cooperative Information Systems 27, no. 01 (March 2018): 1741001. http://dx.doi.org/10.1142/s0218843017410015.

Full text

Abstract:

In the co-design process of hardware/software (HW/SW) system, especially for large and complicated embedded systems, HW/SW partitioning is a challenging step. Among different heuristic approaches, particle swarm optimization (PSO) has the advantages of simple implementation and computational efficiency, which is suitable for solving large-scale problems. This paper presents a conformity particle swarm optimization with fireworks explosion operation (CPSO-FEO) to solve large-scale HW/SW partitioning. First, the proposed CPSO algorithm simulates the conformist mentality from biology research. The CPSO particles with psychological conformist always try to move toward a secure point and avoid being attacked by natural enemy. In this way, there is a greater possibility to increase population diversity and avoid local optimum in CPSO. Next, to enhance the search accuracy and solution quality, an improved FEO with new initialization strategy is presented and is combined with CPSO algorithm to search a better position for the global best position. This combination can keep both the diversified and intensified searching. At last, the experiments on benchmarks and large-scale HW/SW partitioning demonstrate the efficiency of the proposed algorithm.

APA, Harvard, Vancouver, ISO, and other styles

48

Khlyupin, P. A., and G. N. Ispulaeva. "An algorithm for selection of a wind-driven power plant for a standalone power facility." Power and Autonomous equipment 2, no. 3 (October 30, 2019): 152–65. http://dx.doi.org/10.32464/2618-8716-2019-2-3-152-165.

Full text

Abstract:

Introduction: the article reviews the main types of wind turbines and electric power generators designated for wind-driven power plants, as well as new technological solutions. The co-authors have identified the main strengths and weaknesses of wind-driven power plants used as a source of alternative energy. The co-authors have developed an algorithm for selection of a standalone power supply system using a wind-driven power plant.Subject of research: using a comprehensive approach to efficiently design and develop wind-driven power plants with account for climatic and geographic conditions, specifications of wind-driven power plants to be installed.Objective: identification of requirements and specifications needed to develop an algorithm for selection of a standalone power supply system using a wind power plant.Methods: the co-authors have analyzed different types of wind turbines and power generators which are currently in use.Results and discussion: the co-authors present the algorithm for selection of a standalone power supply system using a wind-driven power plant.Conclusion: the algorithm, which is being developed by the co-authors, helps to design an efficient standalone power supply system having a wind-driven power plant.

APA, Harvard, Vancouver, ISO, and other styles

49

Yang, Xu, Songgaojun Deng, Mengyao Ji, Jinfeng Zhao, and Wenhao Zheng. "Neural Network Evolving Algorithm Based on the Triplet Codon Encoding Method." Genes 9, no. 12 (December 13, 2018): 626. http://dx.doi.org/10.3390/genes9120626.

Full text

Abstract:

Artificial intelligence research received more and more attention nowadays. Neural Evolution (NE) is one very important branch of AI, which waves the power of evolutionary algorithms to generate Artificial Neural Networks (ANNs). How to use the evolutionary advantages of network topology and weights to solve the application of Artificial Neural Networks is the main problem in the field of NE. In this paper, a novel DNA encoding method based on the triple codon is proposed. Additionally, a NE algorithm Triplet Codon Encoding Neural Network Evolving Algorithm (TCENNE) based on this encoding method is presented to verify the rationality and validity of the coding design. The results show that TCENNE is very effective and more robust than NE algorithms, due to the coding design. Also, it is shown that it can realize the co-evolution of network topology and weights and outperform other neural evolution systems in challenging reinforcement learning tasks.

APA, Harvard, Vancouver, ISO, and other styles

50

Li, Pei, and Jian-Hui Chen. "A model of an e-customized co-design system on garment design." International Journal of Clothing Science and Technology 30, no. 5 (September 3, 2018): 628–40. http://dx.doi.org/10.1108/ijcst-01-2018-0011.

Full text

Abstract:

Purpose To improve the apparel e-customized system and meet consumers’ personalized requirement in the e-customization, the purpose of this paper is to develop an e-customized co-design system on garment design (ECS-GD) that enables users to co-design garment and communicate with stakeholders. Design/methodology/approach The e-customized co-design system mainly consists of function and modular structure, communication and evaluation modular. Based on the evolutionary algorithm and fuzzy theory, the e-customized system model is proposed with a presentation of garment interface. Based on the parameters of skirts, technical sketches, fabrics, color, patterns, comments and scores, the decision is made by consumers. Findings For the system to be effective, the system was conducted by multi-individuals co-work (consumers, designers, manufacturers and experts). The data flow was congruent to the design knowledge. The expert evaluation and communication were involved in the proposed system. Research limitations/implications The limitation of this study is that the system is not tested in experiments. The model, main function and data flow are proposed in this study, which is important in the e-customized co-design system development. Originality/value Compared to the e-shopping and garment recommendation, the proposed ECS-GD is a good approach to improve the existing e-customized system and a well solution to help consumers with design knowledge recommending, professional suggestions and evaluations. Besides, the sketches and knowledge recommendation are provided to consumers which is a learning process.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Algorithm co-design'

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