Zhenggang Zhan¹, Han Chen^2,3, Yanyi Zhang^2,3, Ruilin Cheng¹, Gang Deng^2,3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.1, pp. 131-144, 2022, DOI:10.32604/fdmp.2022.017536 - 10 November 2021

Abstract The factors influencing the permeability coefficient of gravelly soils used for the development of embankment dams (core wall) are analyzed. Such factors include (but are not limited to) soil size, anisotropy, density and boundary effects. A review of the literature is conducted and new directions of research are proposed. In such a framework, it is shown that gravelly soil with controlled density and vertical stress should be used to optimize the measurement of the vertical and horizontal permeability coefficients, respectively. More >

Lumin Chen¹, Wanying Sun², Fuping Qian^1,*, Can Fang², Zhimin Zheng¹, Qianshuang Zhuang³, Yunlong Han², Jinli Lu²

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.1, pp. 41-56, 2022, DOI:10.32604/fdmp.2022.017523 - 10 November 2021

Abstract Pulsed-jet cleaning is recognized as the most efficient method to regenerate bag dust collectors traditionally used in industrial processes to control the emission of particulates. In this study, non-woven needle felt filter bags with and without a film coating material have been analyzed considering different geometries (different number N of pairs of pleated filter bag sides) in the frame of dedicated low-pressure pulsed-jet cleaning experiments. The flow structure inside the bag and the response characteristics of its wall have also been analyzed numerically through a computational fluid-dynamics/structural-dynamics (CFD-CSD) unidirectional fluid-solid coupling method. As shown by the… More >

Mingjun Du^1,2, Jiaqiang Jing^1,*, Xinqiang Xiong³, Bingbing Lang², Xuan Wang², Shiying Shi^4,*

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.1, pp. 81-91, 2022, DOI:10.32604/fdmp.2022.016640 - 10 November 2021

Abstract Transportation of heavy oil by the so-called water-ring technique is a very promising method by which pressure drop and pollution can be significantly reduced. Dedicated experiments have been carried out by changing the phase’s density, viscosity, velocity and interfacial tension to systematically analyze the characteristics of the water ring. On the basis of such experimental data, a mathematical model for pressure drop prediction has been introduced. This research shows that as long as the density of oil and water remains the same, a concentric water ring can effectively be formed. In such conditions, the oil-water More >

Jin Wang¹, Changqing Zhao¹, Shiming He^1,*, Yu Gu², Osama Alfarraj³, Ahed Abugabah⁴

Computer Systems Science and Engineering, Vol.41, No.3, pp. 1207-1222, 2022, DOI:10.32604/csse.2022.022365 - 10 November 2021

Abstract System logs record detailed information about system operation and are important for analyzing the system's operational status and performance. Rapid and accurate detection of system anomalies is of great significance to ensure system stability. However, large-scale distributed systems are becoming more and more complex, and the number of system logs gradually increases, which brings challenges to analyze system logs. Some recent studies show that logs can be unstable due to the evolution of log statements and noise introduced by log collection and parsing. Moreover, deep learning-based detection methods take a long time to train models.… More >

Hao Yan^1,2, Yanan Liu¹, Shuo Qiu¹, Shengzhou Hu³, Weijian Zhang^4,*, Jinyue Xia⁵

Computer Systems Science and Engineering, Vol.41, No.3, pp. 1129-1142, 2022, DOI:10.32604/csse.2022.022317 - 10 November 2021

Abstract With the rapidly developing of Internet of Things (IoT), the volume of data generated by IoT systems is increasing quickly. To release the pressure of data management and storage, more and more enterprises and individuals prefer to integrate cloud service with IoT systems, in which the IoT data can be outsourced to cloud server. Since cloud service provider (CSP) is not fully trusted, a variety of methods have been proposed to deal with the problem of data integrity checking. In traditional data integrity audition schemes, the task of data auditing is usually performed by Third… More >

Xiaorui Zhang^1,3,*, Wenfang Zhang¹, Wei Sun², Xingming Sun¹, Sunil Kumar Jha⁴

Computer Systems Science and Engineering, Vol.41, No.3, pp. 1043-1056, 2022, DOI:10.32604/csse.2022.022305 - 10 November 2021

Abstract In a telemedicine diagnosis system, the emergence of 3D imaging enables doctors to make clearer judgments, and its accuracy also directly affects doctors’ diagnosis of the disease. In order to ensure the safe transmission and storage of medical data, a 3D medical watermarking algorithm based on wavelet transform is proposed in this paper. The proposed algorithm employs the principal component analysis (PCA) transform to reduce the data dimension, which can minimize the error between the extracted components and the original data in the mean square sense. Especially, this algorithm helps to create a bacterial foraging More >

Gang Xu^1,2, Yibo Cao¹, Shiyuan Xu¹, Ke Xiao¹, Xin Liu³, Xiubo Chen^4,*, Mianxiong Dong⁵

Computer Systems Science and Engineering, Vol.41, No.3, pp. 945-958, 2022, DOI:10.32604/csse.2022.022100 - 10 November 2021

Abstract In recent decades, log system management has been widely studied for data security management. System abnormalities or illegal operations can be found in time by analyzing the log and provide evidence for intrusions. In order to ensure the integrity of the log in the current system, many researchers have designed it based on blockchain. However, the emerging blockchain is facing significant security challenges with the increment of quantum computers. An attacker equipped with a quantum computer can extract the user's private key from the public key to generate a forged signature, destroy the structure of… More >

Vasanthi Raghupathy^1,*, Osamah Ibrahim Khalaf², Carlos Andrés Tavera Romero³, Sudhakar Sengan⁴, Dilip Kumar Sharma⁵

Computer Systems Science and Engineering, Vol.41, No.3, pp. 1241-1253, 2022, DOI:10.32604/csse.2022.021997 - 10 November 2021

Abstract Computing has become more invisible, widespread and ubiquitous since the inception of the Internet of Things (IoT) and Web of Things. Multiple devices that surround us meet user’s requirements everywhere. Multiple Middleware Framework (MF) designs have come into existence because of the rapid development of interactive services in Heterogeneous Systems. This resulted in the delivery of interactive services throughout Heterogeneous Environments (HE). Users are given free navigation between devices in a widespread environment and continuously interact with each other from any chosen device. Numerous interactive devices with recent interactive platforms (for example, Smart Phones, Mobile… More >

Ali Sami Al-Itbi^*, Ahmed Bahaaulddin A. Alwahhab, Ali Mohammed Sahan

Computer Systems Science and Engineering, Vol.41, No.3, pp. 1255-1271, 2022, DOI:10.32604/csse.2022.021980 - 10 November 2021

Abstract Notwithstanding the discovery of vaccines for Covid-19, the virus's rapid spread continues due to the limited availability of vaccines, especially in poor and emerging countries. Therefore, the key issues in the present COVID-19 pandemic are the early identification of COVID-19, the cautious separation of infected cases at the lowest cost and curing the disease in the early stages. For that reason, the methodology adopted for this study is imaging tools, particularly computed tomography, which have been critical in diagnosing and treating the disease. A new method for detecting Covid-19 in X-rays and CT images has… More >

Saleh Albahli^1,*, Ghulam Nabi Ahmad Hassan Yar²

Computer Systems Science and Engineering, Vol.41, No.3, pp. 1117-1127, 2022, DOI:10.32604/csse.2022.021750 - 10 November 2021

Abstract Data available in software engineering for many applications contains variability and it is not possible to say which variable helps in the process of the prediction. Most of the work present in software defect prediction is focused on the selection of best prediction techniques. For this purpose, deep learning and ensemble models have shown promising results. In contrast, there are very few researches that deals with cleaning the training data and selection of best parameter values from the data. Sometimes data available for training the models have high variability and this variability may cause a… More >