Ruizhe Huang¹, Zhaoliang Qu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011440

Abstract The surface brittle fracture of cermet coating seriously restricts its application. Accurate evaluation of the fracture toughness of cermet coating is a prerequisite for improving its life. This paper aims to propose an accurate characterization method for fracture toughness of cermet coating. By coupling instrumented indentation and X‑ ray computed tomography, the indentation-induced fracture behaviors under various loads within WC-12%Co coatings were studied. The indentation response was correlated with the damage evolution directly observed within the coating. The impact of substrate effects on indentation-induced fracture behaviors was further studied using finite element analysis (FEA). The… More >

Songi Gwak, Thien-Phuc Doan, Souhwan Jung^*

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1773-1786, 2023, DOI:10.32604/iasc.2023.039565 - 21 June 2023

Abstract Containerization is a fundamental component of modern cloud-native infrastructure, and Kubernetes is a prominent platform of container orchestration systems. However, containerization raises significant security concerns due to the nature of sharing a kernel among multiple containers, which can lead to container breakout or privilege escalation. Kubernetes cannot avoid it as well. While various tools, such as container image scanning and configuration checking, can mitigate container workload vulnerabilities, these are not foolproof and cannot guarantee perfect isolation or prevent every active threat in runtime. As such, a policy enforcement solution is required to tackle the problem,… More >

Honghong Wang¹, Zhixin Xiong^1,*, Yunchao Hu¹, Zhijian Liu¹, Long Liang²

Journal of Renewable Materials, Vol.11, No.6, pp. 2713-2727, 2023, DOI:10.32604/jrm.2023.025817 - 27 April 2023

Abstract This study aims to realize the sharing of near-infrared analysis models of lignin and holocellulose content in pulp wood on two different batches of spectrometers and proposes a combined algorithm of SPA-DS, MCUVE-DS and SiPLS-DS. The Successive Projection Algorithm (SPA), the Monte-Carlo of Uninformative Variable Elimination (MCUVE) and the Synergy Interval Partial Least Squares (SiPLS) algorithms are respectively used to reduce the adverse effects of redundant information in the transmission process of the full spectrum DS algorithm model. These three algorithms can improve model transfer accuracy and efficiency and reduce the manpower and material consumption… More >

Siyu Lu¹, Jun Yang¹, Bo Yang¹, Zhengtong Yin², Mingzhe Liu^3,*, Lirong Yin⁴, Wenfeng Zheng^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 669-685, 2023, DOI:10.32604/cmes.2023.027417 - 23 April 2023

Abstract With the help of surgical navigation system, doctors can operate on patients more intuitively and accurately. The positioning accuracy and real-time performance of surgical instruments are very important to the whole system. In this paper, we analyze and design the detection algorithm of surgical instrument location mark, and estimate the posture of surgical instrument. In addition, we optimized the pose by remapping. Finally, the algorithm of location mark detection proposed in this paper and the posture analysis data of surgical instruments are verified and analyzed through experiments. The final result shows a high accuracy. More >

Mely Ruiz-Aquino¹, Viter Gerson Carlos Trinidad^1,2, Aldo Alvarez-Risco³, Jaime A. Yáñez^4,5,*

International Journal of Mental Health Promotion, Vol.24, No.6, pp. 959-974, 2022, DOI:10.32604/ijmhp.2022.021172 - 28 September 2022

Abstract The general objective of this article was to construct and describe the psychometric properties of a scale of selfcare behaviors against COVID-19. It was a descriptive, cross-sectional, psychometric validation study of a scale created to measure self-care behaviors in relation to COVID-19 in a total sample of 333 probabilistically selected. Qualitative validity was evaluated by a review of 10 experts and quantitative validity by means of exploratory factor analysis using the principal components method. Internal consistency was measured with Cronbach’s alpha twice and the test-retest was evaluated by calculating the intraclass coefficient. The final scale… More >

Radek Martinek¹, Rene Jaros¹, Jan Baros¹, Lukas Danys¹, Aleksandra Kawala-Sterniuk², Jan Nedoma^3,*, Zdenek Machacek¹, Jiri Koziorek¹

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1073-1096, 2021, DOI:10.32604/cmc.2021.017568 - 04 June 2021

Abstract This paper discusses the reduction of background noise in an industrial environment to extend human-machine-interaction. In the Industry 4.0 era, the mass development of voice control (speech recognition) in various industrial applications is possible, especially as related to augmented reality (such as hands-free control via voice commands). As Industry 4.0 relies heavily on radiofrequency technologies, some brief insight into this problem is provided, including the Internet of things (IoT) and 5G deployment. This study was carried out in cooperation with the industrial partner Brose CZ spol. s.r.o., where sound recordings were made to produce a dataset.… More >

Federica Dellafiore¹, Serena Francesca Flocco¹, Cristina Arrigoni², Serena Barello³, Tiziana Nania¹, Maria Giovanna Russo⁴, Berardo Sarubbi⁵, Arianna Magon¹, Francesco Pittella¹, Massimo Chessa⁶, Rosario Caruso^1,*

Congenital Heart Disease, Vol.15, No.3, pp. 167-180, 2020, DOI:10.32604/CHD.2020.012438 - 15 July 2020

Abstract Aims: This study aimed at providing an Italian short version of the ‘healthcare needs scale for youth with congenital heart disease’ (I-HNS-CHD-s), describing its construct validity and reliability. Methods: A multi-method and multi-phase design were adopted. Phase one referred to the cultural-linguistic validation of the original scale into Italian. Phase two tasted content and face validity of the Italian-translated scale. Phase three included the psychometric validation process of scale, encompassed two different steps: first cross-sectional data collection (sample A) purposed at determining the psychometric characteristics of the I-HNS-CHD-s, using an exploratory factor analysis (EFA). Then, a… More >

Xingkai Zhang, Xuan Zhang, Ruiquan Liao^*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.3, pp. 501-512, 2020, DOI:10.32604/fdmp.2020.09012 - 25 May 2020

Abstract In order to clarify the influence of the instrument’s own drag on the temperature distribution in the horizontal gas wellbore in temperature logging. By constructing an indoor gas-liquid two-phase horizontal tube flow platform, the effects of the drag speed of the instrument on the temperature distribution in the wellbore were studied in the single-phase gas and gas-liquid two phases. In addition, during the process of instrument dragging, the influence of different perforation cluster opening methods and wellbore inclination on temperature distribution was also studied. The results show that the temperature fluctuation is reduced at higher More >

Keunhan Park^a,∗, Zhuomin Zhang^b

Frontiers in Heat and Mass Transfer, Vol.4, No.1, pp. 1-26, 2013, DOI:10.5098/hmt.v4.1.3001

Abstract This article reviews the recent advances in near-field radiative energy transfer, particularly in its fundamentals and applications. When the geometrical features of radiating objects or their separating distances fall into the sub-wavelength range, near-field phenomena such as photon tunneling and surface polaritons begin to play a key role in energy transfer. The resulting heat transfer rate can greatly exceed the blackbody radiation limit by several orders magnitude. This astonishing feature cannot be conveyed by the conventional theory of thermal radiation, generating strong demands in fundamental research that can address thermal radiation in the near field. More >

Murat Demiral, Anish Roy, Vadim V. Silberschmidt

The International Conference on Computational & Experimental Engineering and Sciences, Vol.17, No.3, pp. 87-88, 2011, DOI:10.3970/icces.2011.017.087

Abstract Industrial applications of Ti-based alloys especially in aerospace, marine and offshore industries have grown significantly over the years primarily due to their high strength, light weight as well as excellent temperature- and corrosion-resistance properties. Since these alloys are hard to machine, there is an obvious demand to develop simulation tools in order to analyze the material's behavior in machining processes, such as a turning, and to optimize process parameters. High levels of strains and strain rates accompanied by generated high temperatures characterize the deformation process in turning. The character of realisation of deformation mechanisms as… More >