Mochamad Chalid^1,*, Gifrandy Gustiraharjo¹, Azizah Intan Pangesty¹, Alyssa Adyandra¹, Yudan Whulanza², Sugeng Supriadi²

Journal of Renewable Materials, Vol.11, No.7, pp. 3043-3056, 2023, DOI:10.32604/jrm.2023.026788

Abstract Polyethylene glycol (PEG) was added at different concentrations to the blend of poly(L-lactic acid) (PLLA) and poly(D,L-lactic acid)(PDLLA) to tailor the properties. The differential scanning calorimetry (DSC) measurement showed that all blends were miscible due to shifting a single glass transition temperature into a lower temperature for increasing PEG content. The DSC, FTIR, and XRD results implied the crystallinity enhancement for PEG content until 8 wt%, then decreased at 12 wt% PEG. The XRD result indicated the homo crystalline phase formation in all blends and no stereocomplex crystal. The in vitro degradation study indicated that PEG content is proportional to… More > Graphic Abstract

Jin Zhang¹, Youliang Tang¹, Feng Yu^2,*

Energy Engineering, Vol.118, No.4, pp. 1083-1094, 2021, DOI:10.32604/EE.2021.014482

Abstract In this paper, position sensorless control system of permanent magnet synchronous linear motor (PMSLM) based on sliding mode observer (SMO) with an improved phase-locked loop (PLL) is studied. Firstly, according to the mathematical model, a SMO is designed for sensorless control PMSLM drive. Thereafter, an improved PLL is proposed to tackle the imperfection of data overflow existed in the traditional PLL. The designed SMO incorporating with the improved PLL can be effectively suppress the pulsation of the estimated position and hence the chattering of the derived electrical angular velocity. At last, simulated and experimental results are presented to verify the… More >

Ke Jin, Shunfeng Wang^*

Journal on Internet of Things, Vol.2, No.1, pp. 1-11, 2020, DOI:10.32604/jiot.2020.09071

Abstract In recent years, image restoration has become a huge subject, and finite hybrid model has been widely used in image denoising because of its easy modeling and strong explanatory results. The gaussian mixture model is the most common one. The existing image denoising methods usually assume that each component of the natural image is subject to the gaussian mixture model (GMM). However, this approach is not entirely reasonable. It is well known that most natural images are complex and their distribution is not entirely gaussian. As a result, there are still many problems that GMM cannot solve. This paper tries… More >

Jianwei Zhang¹, Ze Qin¹, Shunfeng Wang^{1, *}

Journal of Cyber Security, Vol.2, No.1, pp. 25-36, 2020, DOI:10.32604/jcs.2020.06429

Abstract Digital images have been applied to various areas such as evidence in courts. However, it always suffers from noise by criminals. This type of computer network security has become a hot issue that can’t be ignored. In this paper, we focus on noise removal so as to provide guarantees for computer network security. Firstly, we introduce a well-known denoising method called Expected Patch Log Likelihood (EPLL) with Gaussian Mixture Model as its prior. This method achieves exciting results in noise removal. However, there remain problems to be solved such as preserving the edge and meaningful details in image denoising, cause… More >