R.M. MISHRAA, R. VIJAYVARGIYAA, K.N. PANDEYA, J.S.P. RAIB

Journal of Polymer Materials, Vol.37, No.3-4, pp. 179-188, 2020, DOI:10.32381/JPM.2020.37.3-4.5

Abstract The present investigation is targeted to prepare nanocomposites based on binary blends of polyetherimide (PEI)-silicone rubber incorporated with varied loadings of nanotitanium dioxide particles. Nanocomposites have been prepared by melt blending process using twin screw extruder. Thermal properties of the developed nanocomposites have been investigated with the help of thermogravimetric analyzer (TGA) and dynamic mechanical analyzer (DMA). Scanning electron microscopy (SEM) is used to analyze the morphological properties of the nanocomposites. Mechanical properties (tensile strength, tensile modulus, elongation at break, impact strength) of the nanocomposites have been evaluated by universal testing machine (UTM). Mechanical testing results reveal that there is… More >

Yu Fan, Jianhua Guo, Xihui Hu, Rui Wang^*, Weiqiang Xu

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2431-2447, 2023, DOI:10.32604/fdmp.2023.027604

Abstract Drilling technologies based on oil-based drilling fluids and strong inhibitory saltwater fluids are affected by drawbacks such as downhole accidents where sticking and wellbore instabilities occur. Existing polyamine drilling fluids also exhibit problems such as easy decomposition and poor inhibition performances. In order to mitigate these issues, additives can be used, such as polyamine inhibitors and the synthesis of nanometer filtrate reducers. Tests conducted in the frame of this study with a polyamine drilling fluid and such additives show that this fluid has the same inhibitory, plugging, lubricating, and wellbore-stability performances as oil-based drilling fluids. However, it has long-term anti-wear… More > Graphic Abstract

R. S. Aashmi^1,*, T. Jaya²

Computer Systems Science and Engineering, Vol.45, No.2, pp. 1295-1308, 2023, DOI:10.32604/csse.2023.027216

Abstract The integration of clusters, grids, clouds, edges and other computing platforms result in contemporary technology of jungle computing. This novel technique has the aptitude to tackle high performance computation systems and it manages the usage of all computing platforms at a time. Federated learning is a collaborative machine learning approach without centralized training data. The proposed system effectively detects the intrusion attack without human intervention and subsequently detects anomalous deviations in device communication behavior, potentially caused by malicious adversaries and it can emerge with new and unknown attacks. The main objective is to learn overall behavior of an intruder while… More >

Pagnchakneat C. Ouk¹, Wooguil Pak^2,*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 381-398, 2022, DOI:10.32604/cmc.2022.024540

Abstract Although Android becomes a leading operating system in market, Android users suffer from security threats due to malwares. To protect users from the threats, the solutions to detect and identify the malware variant are essential. However, modern malware evades existing solutions by applying code obfuscation and native code. To resolve this problem, we introduce an ensemble-based malware classification algorithm using malware family grouping. The proposed family grouping algorithm finds the optimal combination of families belonging to the same group while the total number of families is fixed to the optimal total number. It also adopts unified feature extraction technique for… More >

Fawaz Alassery^*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 535-559, 2022, DOI:10.32604/cmc.2022.023558

Abstract Today, Internet of Things (IoT) is a technology paradigm which convinces many researchers for the purpose of achieving high performance of packets delivery in IoT applications such as smart cities. Interconnecting various physical devices such as sensors or actuators with the Internet may causes different constraints on the network resources such as packets delivery ratio, energy efficiency, end-to-end delays etc. However, traditional scheduling methodologies in large-scale environments such as big data smart cities cannot meet the requirements for high performance network metrics. In big data smart cities applications which need fast packets transmission ratio such as sending priority packets to… More >

Boxue Chen^1,#, Hongda Wang^1,#, Meiyu Liu¹, Wandi Hu¹, Yuexin Qian¹, Jiali Wang¹, Jie Liu¹, Xue Li¹, Jing Wang², Wenzhi Yang^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 1073-1088, 2022, DOI:10.32604/phyton.2022.019399

Abstract Herbal components characterization represents a challenging task because of the co-existing of multiple classes of naturally occurring compounds with wide spans of polarity, molecular mass, and the ubiquitous isomerism. The root and rhizome of Salvia miltiorrhiza have been utilized as a reputable traditional Chinese medicine Salviae Miltiorrhizae Radix et Rhizoma (Dan-Shen) in the treatment of cardiovascular disease. Herein, a dimension-enhanced ultra-high performance liquid chromatography/ion mobility/quadrupole time-of-flight mass spectrometry approach in combination with intelligent peak annotation workflows was established aimed to rapidly characterize the multicomponents from S. miltiorrhiza. Due to the sufficient optimization, satisfactory chromatography separation was enabled on an HSS… More >

Simiao Wang^1,#, Xue Li^1,#, Boxue Chen¹, Shitong Li¹, Jiali Wang¹, Jing Wang², Mingshuo Yang³, Xiaoyan Xu¹, Hongda Wang¹, Wenzhi Yang^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.3, pp. 541-567, 2022, DOI:10.32604/phyton.2022.018571

Abstract The complex composition of herbal metabolites necessitates the development of powerful analytical techniques aimed to identify the bioactive components. The seeds of Descurainia sophia (SDS) are utilized in China as a cough and asthma relieving agent. Herein, a dimension-enhanced integral approach, by combining ultra-high performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS) and intelligent peak annotation, was developed to rapidly characterize the multicomponents from SDS. Good chromatographic separation was achieved within 38 min on a UPLC CSH C18 (2.1 × 100 mm, 1.7 μm) column which was eluted by 0.1% formic acid in water (water phase) and acetonitrile (organic phase).… More >

R. Chithra Devi^1,*, D. Jemi Florinabel², Narayanan Prasanth³

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1527-1540, 2022, DOI:10.32604/cmc.2022.019343

Abstract The high-performance computing paradigm needs high-speed switching fabrics to meet the heavy traffic generated by their applications. These switching fabrics are efficiently driven by the deployed scheduling algorithms. In this paper, we proposed two scheduling algorithms for input queued switches whose operations are based on ranking procedures. At first, we proposed a Simple 2-Bit (S2B) scheme which uses binary ranking procedure and queue size for scheduling the packets. Here, the Virtual Output Queue (VOQ) set with maximum number of empty queues receives higher rank than other VOQ’s. Through simulation, we showed S2B has better throughput performance than Highest Ranking First… More >

M. Usman Ashraf^1,*, Fathy Alburaei Eassa², Leon J. Osterweil³, Aiiad Ahmad Albeshri², Abdullah Algarni², Iqra Ilyas⁴

Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 615-639, 2021, DOI:10.32604/iasc.2021.019044

Abstract High Performance Computing (HPC) technologies are emphasizing to increase the system performance across many disciplines. The primary challenge in HPC systems is how to achieve massive performance by minimum power consumption. However, the modern HPC systems are configured by adding the powerful and energy efficient multi-cores/many-cores parallel computing devices such as GPUs, MIC, and FPGA etc. Due to increasing the complexity of one chip many-cores/multi-cores systems, only well-balanced and optimized parallel programming technique is the solution to provide substantial increase in performance under power consumption limitations. Conventionally, the researchers face various barriers while parallelizing their serial code because they don’t… More >

Yunping Zhao, Jianzhuang Lu^*, Xiaowen Chen

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 517-535, 2021, DOI:10.32604/cmc.2020.012380

Abstract Convolutional Neural Networks (CNNs) are widely used in many fields. Due to their high throughput and high level of computing characteristics, however, an increasing number of researchers are focusing on how to improve the computational efficiency, hardware utilization, or flexibility of CNN hardware accelerators. Accordingly, this paper proposes a dynamically reconfigurable accelerator architecture that implements a Sparse-Winograd F(2 2.3 3)-based high-parallelism hardware architecture. This approach not only eliminates the pre-calculation complexity associated with the Winograd algorithm, thereby reducing the difficulty of hardware implementation, but also greatly improves the flexibility of the hardware; as a result, the accelerator can realize the… More >