Yunping Zhao, Jianzhuang Lu^*, Xiaowen Chen

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 517-535, 2021, DOI:10.32604/cmc.2020.012380 - 30 October 2020

Abstract Convolutional Neural Networks (CNNs) are widely used in many fields. Due to their high throughput and high level of computing characteristics, however, an increasing number of researchers are focusing on how to improve the computational efficiency, hardware utilization, or flexibility of CNN hardware accelerators. Accordingly, this paper proposes a dynamically reconfigurable accelerator architecture that implements a Sparse-Winograd F(2 2.3 3)-based high-parallelism hardware architecture. This approach not only eliminates the pre-calculation complexity associated with the Winograd algorithm, thereby reducing the difficulty of hardware implementation, but also greatly improves the flexibility of the hardware; as a result, More >

Hai Liu^1,*, Xiangchao Zhou^2,3

Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1493-1501, 2020, DOI:10.32604/iasc.2020.012159 - 24 December 2020

Abstract Aiming at the problems of poor brightness control effect and low registration accuracy in traditional multi focus image registration, a wavelet multi-scale multi focus image region fusion registration method is proposed. The multi-scale Retinex algorithm is used to enhance the image, the wavelet decomposition similarity analysis is used for image interpolation, and the EMD method is used to decompose the multi focus image. Finally, the image reconstruction is completed and the multi focus image registration is realized. In order to verify the multi focus image fusion registration effect of different methods, a comparative experiment was More >

Amin Ranjbar¹, Amir Abolzafl Suratgar^1,*, Saeed Shiry Ghidary², Jafar Milimonfared³

Sound & Vibration, Vol.54, No.4, pp. 257-267, 2020, DOI:10.32604/sv.2020.05055 - 25 November 2020

Abstract This paper proposes an efficient learning based approach to detect the faults of an industrial oil pump. The proposed method uses the wavelet transform and genetic algorithm (GA) ensemble for an optimal feature extraction procedure. Optimal features, which are dominated through this method, can remarkably represent the mechanical faults in the damaged machine. For the aim of condition monitoring, we considered five common types of malfunctions such as casing distortion, cavitation, looseness, misalignment, and unbalanced mass that occur during the machine operation. The proposed technique can determine optimal wavelet parameters and suitable statistical functions to More >

Weimin Wu, Chuande Zhou^*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 883-901, 2020, DOI:10.32604/fdmp.2020.010407 - 09 October 2020

Abstract The behavior of the tip wake of a wind turbine is one of the hot issues in the wind power field. This problem can partially be tackled using Computational Fluid Dynamics (CFD). However, this approach lacks the ability to provide insights into the spatial structure of important high-order flows. Therefore, with the horizontal axis wind turbine as the main focus, in this work, firstly, we conduct CFD simulations of the wind turbine in order to obtain a data-driven basis relating to multiple working conditions for further analysis. Then, these data are studied using an extended More >

R. Uma Maheswari^1,*, R. Umamaheswari²

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 479-488, 2020, DOI:10.32604/iasc.2020.013924

Abstract To enhance the predictive condition-based maintenance (CBMS), a reliable automatic Drivetrain fault detection technique based on vibration monitoring is proposed. Accelerometer sensors are mounted on a wind turbine drivetrain at different spatial locations to measure the vibration from multiple vibration sources. In this work, multi-channel signals are fused and monocomponent modes of oscillation are reconstructed by the Multivariate Empirical Mode Decomposition (MEMD) Technique. Noise assisted methodology is adapted to palliate the mixing of modes with common frequency scales. The instantaneous amplitude envelope and instantaneous frequency are estimated with the Hilbert transform. Low order and high More >

Wenxuan Wang^*, Xiaoyi Wang

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 985-1000, 2020, DOI:10.32604/cmes.2020.09006 - 21 August 2020

Abstract The importance analysis method represents a powerful tool for quantifying the impact of input uncertainty on the output uncertainty. When an input variable is described by a specific interval rather than a certain probability distribution, the interval importance measure of input interval variable can be calculated by the traditional non-probabilistic importance analysis methods. Generally, the non-probabilistic importance analysis methods involve the Monte Carlo simulation (MCS) and the optimization-based methods, which both have high computational cost. In order to overcome this problem, this study proposes an interval important analytical method avoids the time-consuming optimization process. First,… More >

Jinxin Zuo^{1, 3}, Yueming Lu^{1, 3, *}, Hui Gao^{2, 3}, Ruohan Cao^{2, 3}, Ziyv Guo^{2, 3}, Jim Feng⁴

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 683-704, 2020, DOI:10.32604/cmc.2020.010793 - 23 July 2020

Abstract The development of the Internet of Things (IoT) calls for a comprehensive information security evaluation framework to quantitatively measure the safety score and risk (S&R) value of the network urgently. In this paper, we summarize the architecture and vulnerability in IoT and propose a comprehensive information security evaluation model based on multi-level decomposition feedback. The evaluation model provides an idea for information security evaluation of IoT and guides the security decision maker for dynamic protection. Firstly, we establish an overall evaluation indicator system that includes four primary indicators of threat information, asset, vulnerability, and management,… More >

Shuaishuai Zhu¹, Zhigang Pan^1,2, Yaqiu Tao^1,2,*, Yue Chen^1,2

Journal of Renewable Materials, Vol.8, No.8, pp. 939-946, 2020, DOI:10.32604/jrm.2020.011197 - 10 July 2020

Abstract Hydrogen is recognized as a promising energy scours in the close future. Online hydrogen preparation from formic acid under mild reaction conditions causes extensive interests. Mo₂C and metal (Fe, Ni, Co, K) doped Mo₂C on granular activated carbon (GAC) were prepared and used as heterogeneous catalysts for H₂ generation from formic acid on a fixed bed reactor at 100–250°C. The formic acid conversions on doped Mo₂C-Me/GAC are clearly improved, especially at lower reaction temperatures. Co doping presents outstanding effect on H₂ selectivity and conversion rate compared to Ni and Fe. A 56.3% formic acid conversion was reached on More >

Jingjing Wan¹, Taiyue Chen^{2, *}, Bolun Chen^{2, 3, *}, Yongtao Yu², Yiyun Sheng², Xinggang Ma¹

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1263-1272, 2020, DOI:10.32604/cmc.2020.010098 - 30 April 2020

Abstract The incidence of colorectal cancer (CRC) in China has increased in recent years. The mortality rate of CRC has become one of the highest among all cancers; CRC increasingly affects the health and quality of people’s lives. However, due to the insufficiency of medical resources in China, the workload on medical doctors has further increased. In the past few decades, the adult CRC mortality and morbidity rate dropped sharply, mainly because of CRC screening and removal of adenomatous polyps. However, due to the differences in polyp itself and the skills of endoscopists, the detection rate… More >

Xiaoding Guo¹, Hongli Zhang^{1, *}, Lin Ye¹, Shang Li¹

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 315-336, 2020, DOI:10.32604/cmc.2020.07506 - 30 March 2020

Abstract With the development of Internet technology and the enhancement of people’s concept of the rule of law, online legal consultation has become an important means for the general public to conduct legal consultation. However, different people have different language expressions and legal professional backgrounds. This phenomenon may lead to the phenomenon of different descriptions of the same legal consultation. How to accurately understand the true intentions behind different users’ legal consulting statements is an important issue that needs to be solved urgently in the field of legal consulting services. Traditional intent understanding algorithms rely heavily… More >