Umer Nauman¹, Yuhong Zhang², Zhihui Li³, Tong Zhen^1,3,*

Journal of Intelligent Medicine and Healthcare, Vol.2, pp. 15-34, 2024, DOI:10.32604/jimh.2024.048784 - 11 April 2024

Abstract The convergence of handheld devices and cloud-based computing has transformed how Electronic Health Records (EHRs) are stored in mobile cloud paradigms, offering benefits such as affordability, adaptability, and portability. However, it also introduces challenges regarding network security and data confidentiality, as it aims to exchange EHRs among mobile users while maintaining high levels of security. This study proposes an innovative blockchain-based solution to these issues and presents secure cloud storage for healthcare data. To provide enhanced cryptography, the proposed method combines an enhanced Blowfish encryption method with a new key generation technique called Elephant Herding… More >

Kaige Guo, Jin Zhou^*, Xiaoming Zhang, Di Sun^*, Zishuo Wang, Lixian Zhao

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3677-3696, 2023, DOI:10.32604/cmc.2023.038660 - 26 December 2023

Abstract This paper discusses two urgent problems that need to be solved in fully automatic operation (FAO) for urban rail transit. The first is the analysis of safety in FAO, while another is the analysis of efficiency in FAO. Firstly, this paper establishes an operational safety evaluation index system from the perspective of operation for the unique or typical risk sources of the FAO system, and uses the analytic hierarchy process (AHP) to evaluate the indicators, analyzes various factors that affect the safe operation of FAO, and provides safety management recommendations for FAO lines operation to… More >

Kehuan Xie¹, Longhai Yu^2,3, Chuanchang Li^1,*

Energy Engineering, Vol.120, No.12, pp. 2903-2915, 2023, DOI:10.32604/ee.2023.027636 - 29 November 2023

Abstract Vanadium redox flow battery (VRFB) is considered one of the most potential large-scale energy storage technologies in the future, and its electrolyte flow rate is an important factor affecting the performance of VRFB. To study the effect of electrolyte flow rate on the performance of VRFB, the hydrodynamic model is established and a VRFB system is developed. The results show that under constant current density, with the increase of electrolyte flow rate, not only the coulombic efficiency, energy efficiency, and voltage efficiency will increase, but also the capacity and energy discharged by VRFB will also More >

S. Harika^1,*, R. Seyezhai¹, A. Jawahar²

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 895-910, 2023, DOI:10.32604/iasc.2023.031829 - 29 September 2022

Abstract The solar powered systems require high step-up converter for efficient energy transfer. For this, quasi-impedance network converter has been introduced. The quasi-impedance network converter (QZNC) is of two types: type-1 and type-2 configuration. Both the type-1 and type-2 QZNC configurations have drooping voltage gain profile due to presence of high switching noise. To overcome this, a new quasi-impedance network converter synchronizing the switching circuit with low frequency noise has been proposed. In this paper, the proposed QZNC configuration utilizes the current controlling diode to prevent the output voltage drop. Thus, the suggested topology provides linear More >

Akram A. Almohammedi^1,2,*, Vladimir Shepelev¹, Sam Darshi³, Mohammed Balfaqih⁴, Fayad Ghawbar⁵

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3929-3943, 2022, DOI:10.32604/cmc.2022.026307 - 29 March 2022

Abstract The widespread use of the Internet of Things (IoT) applications has enormously increased the danger level of data leakage and theft in IoT as data transmission occurs through a public channel. As a result, the security of the IoT has become a serious challenge in the field of information security. Steganography on the network is a critical tool for preventing the leakage of private information and enabling secure and encrypted communication. The primary purpose of steganography is to conceal sensitive information in any form of media such as audio, video, text, or photos, and securely… More >

Qiyuan Liu, Shuhua Lu^*, Lingqiang Lan

Computer Systems Science and Engineering, Vol.37, No.2, pp. 283-295, 2021, DOI:10.32604/csse.2021.014086 - 01 March 2021

Abstract In recent years, face detection has attracted much attention and achieved great progress due to its extensively practical applications in the field of face based computer vision. However, the tradeoff between accuracy and efficiency of the face detectors still needs to be further studied. In this paper, using Darknet-53 as backbone, we propose an improved YOLOv3-attention model by introducing attention mechanism and data augmentation to obtain the robust face detector with high accuracy and efficiency. The attention mechanism is introduced to enhance much higher discrimination of the deep features, and the trick of data augmentation… More >