Open Access
ARTICLE
Jamel Nebhen1,*, Pietro M. Ferreira2,3
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 607-631, 2022, DOI:10.32604/cmes.2022.016086
Abstract This paper presents a proposed low-noise and high-sensitivity Internet of Thing (IoT) system based on an M&NEMS microphone. The IoT device consists of an M&NEMS resistive accelerometer associated with an electronic readout circuit, which is a silicon nanowire and a Continuous-Time (CT) Δ Σ ADC. The first integrator of the Δ Σ ADC is based on a positive feedback DC-gain enhancement two-stage amplifier due to its high linearity and low-noise operations. To mitigate both the offset and 1/f noise, a suggested delay-time chopper negative-R stabilization technique is applied around the first integrator. A 65-nm CMOS process implements the CT Δ… More >
Open Access
REVIEW
Darshan Babu L. Arasu1, Ahmad Sufril Azlan Mohamed1,*, Nur Intan Raihana Ruhaiyem1, Nagaletchimee Annamalai2, Syaheerah Lebai Lutfi1, Mustafa M. Al Qudah1
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 633-652, 2022, DOI:10.32604/cmes.2021.016985
（This article belongs to this Special Issue: Computer-Assisted Imaging Processing and Machine Learning Applications on Diagnosis of Chest Radiograph)
Abstract Stress is a normal reaction of the human organism which triggered in situations that require a certain level of
activation. This reaction has both positive and negative effects on everyone’s life. Therefore, stress management
is of vital importance in maintaining the psychological balance of a person. Thermal-based imaging technique is
becoming popular among researchers due to its non-contact conductive nature. Moreover, thermal-based imaging
has shown promising results in detecting stress in a non-contact and non-invasive manner. Compared to other
non-contact stress detection methods such as pupil dilation, keystroke behavior, social media interaction and
voice modulation, thermal-based imaging provides better features… More >
Open Access
ARTICLE
Jiao Wang1,*, Xihua Chu2,*, Jinbao Wang3
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 653-670, 2022, DOI:10.32604/cmes.2022.018207
Abstract Common structures in engineering such as slopes, roadbeds, ballasts, etc., are closely related to granular materials. They are usually subjected to long-term cyclic loads. This study mainly focused on the mechanical behaviors of randomly arranged granular materials before they reach a stable state under different cyclic loads. The variation of the maximum axial strain and the influence of CSR (cyclic stress ratio) were analyzed. The energy consumed in each cycle under constant confining stress loading condition is significantly greater than that of the fixed wall loading condition. The internal deformation evolution of granular materials is studied in detail. The deformation… More >
Open Access
ARTICLE
Fuqi Yao1, Jinwei Sun1, Jianhua Dong2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 671-700, 2022, DOI:10.32604/cmes.2022.018450
Abstract Accurate estimation of dew point temperature (Tdew) plays a very important role in the fields of water resource management, agricultural engineering, climatology and energy utilization. However, there are few studies on the applicability of local Tdew algorithms at regional scales. This study evaluated the performance of a new machine learning algorithm, i.e., gradient boosting on decision trees with categorical features support (CatBoost) to estimate daily Tdew using limited local and cross-station meteorological data. The random forests (RF) algorithm was also assessed for comparison. Daily meteorological data from 2016 to 2019, including maximum, minimum and average temperature (Tmax, Tmin and Tmean),… More >
Open Access
ARTICLE
Xiaosai Duan, Suihuai Yu*, Jianjie Chu, Dengkai Chen and Zhaojing Su
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 701-721, 2022, DOI:10.32604/cmes.2022.016779
Abstract The rational design of airflow distribution is of great importance for comfort and energy conservation. Several
numerical investigations of flow and temperature characteristics in cockpits have been performed to study the
distinct airflow distribution. This study developed the coupled heat transfer model of radiation, convection, and
heat conduction for the cockpit flight environment. A three-dimensional physical model was created and a shear
stress transfer (SST) k-w turbulence model was well verified with a high prediction accuracy of 91% for the
experimental data. The strong inhomogeneous flow and temperature distribution were captured for various initial
operating conditions (inlet temperature, inlet pressure,… More >
Open Access
ARTICLE
Muhammad Zafar1,#,*, Muhammad Saif Ullah1,#, Tareq Manzoor2, Muddassir Ali3, Kashif Nazar4, Shaukat Iqbal5, Habib Ullah Manzoor6, Rizwan Haider1, Woo Young Kim7,*
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 723-749, 2022, DOI:10.32604/cmes.2022.017257
Abstract In recent years, the emergence of nanotechnology experienced incredible development in the field of medical sciences. During the past decade, investigating the characteristics of nanoparticles during fluid flow has been one of the intriguing issues. Nanoparticle distribution and uniformity have emerged as substantial criteria in both medical and engineering applications. Adverse effects of chemotherapy on healthy tissues are known to be a significant concern during cancer therapy. A novel treatment method of magnetic drug targeting (MDT) has emerged as a promising topical cancer treatment along with some attractive advantages of improving efficacy, fewer side effects, and reduce drug dose. During… More >
Open Access
ARTICLE
Usman Inayat1,*, Shaukat Iqbal1, Tareq Manzoor2
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 751-776, 2022, DOI:10.32604/cmes.2022.018665
Abstract In this contemporary study, theoritical investigation of nanofluidic model is thought-out. Two-dimensional nanomaterials based mixed flow is considered here. Convective solar radiative heat transport properties have been investigated over a nonlinearly stretched wall in the presence of magneto-hydrodynamic (MHD), by innovative application of semi analytical “optimal homotopy asymptotic method (OHAM)”. OHAM does not require any discretization, linearization and small parameter assumption. OHAM describes extremely precise order solutions without the need of computing further higher order terms, therefore, fast convergence is observed. Nanofluidic governing model is transformed into system of ordinary differential equations (ODEs) by exploitation of similarity transformation. To study… More >
Open Access
ARTICLE
Bogusław Bożek1, Lucjan Sapa1,*, Katarzyna Tkacz-Śmiech2, Marek Danielewski2, Janusz Rybak2
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 777-803, 2022, DOI:10.32604/cmes.2022.017729
Abstract Low-temperature nitriding of steel or iron can produce an expanded austenite phase, which is a solid solution of a large amount of nitrogen dissolved interstitially in fcc lattice. It is characteristic that the nitogen depth profiles in expanded austenite exhibit plateau-type shapes. Such behavior cannot be considered with a standard analytic solution for diffusion in a semi-infinite solid and a new approach is necessary. We formulate a model of interdiffusion in viscoelastic solid (Maxwell model) during the nitriding process. It combines the mass conservation and Vegard’s rule with the Darken bi-velocity method. The model is formulated in any dimension, i.e.,… More >
Open Access
ARTICLE
Jiandong Huang1, Jia Zhang1, Yuan Gao2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 805-821, 2022, DOI:10.32604/cmes.2022.017792
（This article belongs to this Special Issue: Soft Computing Techniques in Materials Science and Engineering)
Abstract
Pervious concrete (PC) is at risk of clogging due to the continuous blockage of sand into it during its service time. This study aims to evaluate and predict such clogging behavior of PC using hybrid machine learning techniques. Based on the 84 groups of the dataset developed in the earlier study, the clogging behavior of the PC was determined by the algorithm combing the SVM (support vector machines) and particle swarm optimization (PSO) methods. The PSO algorithm was employed to adjust the hyperparameters of the SVM and verify the performance using 10-fold cross-validation. The predicting results of the developed model… More >
Open Access
ARTICLE
Nishant Behar*, Manish Shrivastava
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 823-839, 2022, DOI:10.32604/cmes.2022.017030
（This article belongs to this Special Issue: Mathematical Aspects of Computational Biology and Bioinformatics)
Abstract Breast cancer is considered an immense threat and one of the leading causes of mortality in females. It is curable only when detected at an early stage. A standard cancer diagnosis approach involves detection of cancer-related anomalies in tumour histopathology images. Detection depends on the accurate identification of the landmarks in the visual artefacts present in the slide images. Researchers are continuously striving to develop automatic machine-learning algorithms for processing medical images to assist in tumour detection. Nowadays, computer-based automated systems play an important role in cancer image analysis and help healthcare experts make rapid and correct inferences about the… More >
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