G. Kadiravan¹, P. Sujatha¹, T. Asvany¹, R. Punithavathi², Mohamed Elhoseny³, Irina V. Pustokhina⁴, Denis A. Pustokhin⁵, K. Shankar^6,*

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3215-3231, 2021, DOI:10.32604/cmc.2021.013034

Abstract Nowadays, healthcare applications necessitate maximum volume of medical data to be fed to help the physicians, academicians, pathologists, doctors and other healthcare professionals. Advancements in the domain of Wireless Sensor Networks (WSN) and Multimedia Wireless Sensor Networks (MWSN) are tremendous. M-WMSN is an advanced form of conventional Wireless Sensor Networks (WSN) to networks that use multimedia devices. When compared with traditional WSN, the quantity of data transmission in M-WMSN is significantly high due to the presence of multimedia content. Hence, clustering techniques are deployed to achieve low amount of energy utilization. The current research work… More >

Tengfei Yang^1,2, Xiaojun Shi³, Yangyang Li^1,*, Binbin Huang⁴, Haiyong Xie^1,5, Yanting Shen⁴

Journal on Big Data, Vol.2, No.3, pp. 105-115, 2020, DOI:10.32604/jbd.2020.010958

Abstract Mobile Edge Computing (MEC) has become the most possible network architecture to realize the vision of interconnection of all things. By offloading compute-intensive or latency-sensitive applications to nearby small cell base stations (sBSs), the execution latency and device power consumption can be reduced on resource-constrained mobile devices. However, computation delay of Mobile Edge Network (MEN) tasks are neglected while the unloading decision-making is studied in depth. In this paper, we propose a workload allocation scheme which combines the task allocation optimization of mobile edge network with the actual user behavior activities to predict the task More >

Jianwei Chen, Jianbo Li^*, Ying Li

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 847-864, 2020, DOI:10.32604/cmes.2020.010240

Abstract Predicting human mobility has great significance in Location based Social Network applications, while it is challenging due to the impact of historical mobility patterns and current trajectories. Among these challenges, historical patterns tend to be crucial in the prediction task. However, it is difficult to capture complex patterns from long historical trajectories. Motivated by recent success of Convolutional Neural Network (CNN)-based methods, we propose a Union ConvGRU (UCG) Net, which can capture long short-term patterns of historical trajectories and sequential impact of current trajectories. Specifically, we first incorporate historical trajectories into hidden states by a More >

Honghao Gao^{1, 2, 5}, Wanqiu Huang^{1, 4}, Xiaoxian Yang³

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 547-559, 2019, DOI:10.31209/2019.100000110

Abstract Path planning is an important topic of research in modern intelligent traffic systems (ITSs). Traditional path planning methods aim to identify the shortest path and recommend this path to the user. However, the shortest path is not always optimal, especially in emergency rescue scenarios. Thus, complex and changeable factors, such as traffic congestion, road construction and traffic accidents, should be considered when planning paths. To address this consideration, the maximum passing probability of a road is considered the optimal condition for path recommendation. In this paper, the traffic network is abstracted as a directed graph.… More >

Jiachen Wei^1,2,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 103-104, 2019, DOI:10.32604/mcb.2019.07721

Abstract Phoretic flow can be generated by different types of gradient (e.g. temperature, concentration, or charge gradient) [1-3]. Within micro-to-nano confined system, the diffusio-phoretic property for proteins differs dramatically from that obtained in bulk condition, due to concentration fluctuation that emerges at microscopic level induced by specific and nonspecific interactions between protein and co-solute [4-5]. The phoretic mobility of protein individuals and complex in solute gradients can be theoretically described by continuum model [1-2] that neglects microscopic heterogeneity and determined experimentally by microfluidics [6], but the underlying mechanism of diffusio-phoretic motion for confined protein still remains… More >

ZHAO Jun-hai, HU Yong, Wang Fang, HOU De-yong

The International Conference on Computational & Experimental Engineering and Sciences, Vol.19, No.2, pp. 51-52, 2011, DOI:10.3970/icces.2011.019.051

Abstract With the number of submarines increasing rapidly, there are many accidents occurred during submarines’s cruising. Especially the universal attentions to submarine rescue are awaken by the Russian Navy’s second-generation strategic nuclear submarine "Kursk" accident.
One of the important means for submarine rescue is SRC. Since 70th last century abroad, Navy’s submarine rescue armies have been equipped with the SRCs. Entering 21th-century, it is necessary for mating exercises between SRC and disabled submarine(DISSUB) chosen still by Navy’s submarine rescue armies in Navy’s large military drills at home and abroad. The dedicated mating platforms for the SRCs… More >

Swapan K Pati

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.4, pp. 180-180, 2019, DOI:10.32604/icces.2019.05545

Abstract In recent years, many van der Waals solids, perovskites, spinels etc. exhibit many fold benefits for applications in a number of fields, namely, transparent substrates, field effect transistors, solar cells, thermoelectric materials, active surface for catalysis, rechargeable battery etc, to name a few. In fact, recent experimental advancements on the control over the surface structure of materials has enabled material scientists to tailor the material properties with improved reliability and functionality. We have derived relaxation time formulation from complete Boltzmann transport equation and obtained all the parameters from ab-initio density functional theory. Using this formalism,… More >

Meihua Liu¹, Xinchen Zhang^2,*, Shuangkui Ge³, Xiaoli Chen¹, Jianbin Wu², Mao Tian¹

CMC-Computers, Materials & Continua, Vol.60, No.2, pp. 559-574, 2019, DOI:10.32604/cmc.2019.04843

Abstract In Opportunistic networks (ONs), buffer management is critical to improve the message exchanging efficiency due to the limited storage space and transmission bandwidth at the wireless edge. Current solutions make message scheduling and drop policy based on assumptions that messages can always been forwarded in a single contact, and all node pairs have the same contact rates. However, such ideal assumptions are invalid for realistic mobility traces of hand-held. Recent studies show that the single contact duration is limited and the mobility of nodes is heterogeneous in reality. In this paper, a buffer management strategy… More >