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  • Open Access

    ARTICLE

    Video Recognition for Analyzing the Characteristics of Vehicle–Bicycle Conflict

    Xingjian Xue1,*, Zixu Wang1, Linjuan Ge1, Lirong Deng1, Rui Song1, Neal Naixue Xiong2

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2779-2791, 2021, DOI:10.32604/cmc.2021.016885 - 21 July 2021

    Abstract Vehicle–bicycle conflict incurs a higher risk of traffic accidents, particularly as it frequently takes place at intersections. Mastering the traffic characteristics of vehicle–bicycle conflict and optimizing the design of intersections can effectively reduce such conflict. In this paper, the conflict between right-turning motor vehicles and straight-riding bicycles was taken as the research object, and T-Analyst video recognition technology was used to obtain data on riding (driving) behavior and vehicle–bicycle conflict at seven intersections in Changsha, China. Herein, eight typical traffic characteristics of vehicle–bicycle conflict are summarized, the causes of vehicle–bicycle conflict are analyzed using 18… More >

  • Open Access

    ARTICLE

    Conveyor-Belt Detection of Conditional Deep Convolutional Generative Adversarial Network

    Xiaoli Hao1,*, Xiaojuan Meng1, Yueqin Zhang1, JinDong Xue2, Jinyue Xia3

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2671-2685, 2021, DOI:10.32604/cmc.2021.016856 - 21 July 2021

    Abstract In underground mining, the belt is a critical component, as its state directly affects the safe and stable operation of the conveyor. Most of the existing non-contact detection methods based on machine vision can only detect a single type of damage and they require pre-processing operations. This tends to cause a large amount of calculation and low detection precision. To solve these problems, in the work described in this paper a belt tear detection method based on a multi-class conditional deep convolutional generative adversarial network (CDCGAN) was designed. In the traditional DCGAN, the image generated… More >

  • Open Access

    ARTICLE

    An Attention Based Neural Architecture for Arrhythmia Detection and Classification from ECG Signals

    Nimmala Mangathayaru1,*, Padmaja Rani2, Vinjamuri Janaki3, Kalyanapu Srinivas4, B. Mathura Bai1, G. Sai Mohan1, B. Lalith Bharadwaj1

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2425-2443, 2021, DOI:10.32604/cmc.2021.016534 - 21 July 2021

    Abstract Arrhythmia is ubiquitous worldwide and cardiologists tend to provide solutions from the recent advancements in medicine. Detecting arrhythmia from ECG signals is considered a standard approach and hence, automating this process would aid the diagnosis by providing fast, cost-efficient, and accurate solutions at scale. This is executed by extracting the definite properties from the individual patterns collected from Electrocardiography (ECG) signals causing arrhythmia. In this era of applied intelligence, automated detection and diagnostic solutions are widely used for their spontaneous and robust solutions. In this research, our contributions are two-fold. Firstly, the Dual-Tree Complex Wavelet… More >

  • Open Access

    ARTICLE

    ANN Based Novel Approach to Detect Node Failure in Wireless Sensor Network

    Sundresan Perumal1, Mujahid Tabassum1, Ganthan Narayana2, Suresh Ponnan3,*, Chinmay Chakraborty4, Saju Mohanan5, Zeeshan Basit5, Mohammad Tabrez Quasim6

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1447-1462, 2021, DOI:10.32604/cmc.2021.014854 - 21 July 2021

    Abstract A wireless sensor network (WSN) consists of several tiny sensor nodes to monitor, collect, and transmit the physical information from an environment through the wireless channel. The node failure is considered as one of the main issues in the WSN which creates higher packet drop, delay, and energy consumption during the communication. Although the node failure occurred mostly due to persistent energy exhaustion during transmission of data packets. In this paper, Artificial Neural Network (ANN) based Node Failure Detection (NFD) is developed with cognitive radio for detecting the location of the node failure. The ad hocMore >

  • Open Access

    ARTICLE

    Using Blockchain Technology in Mobile Network to create decentralized Home Location Registry (HLR)

    Behnam Kiani Kalejahi1,2,*, Ruslan Eminov1, Aga Guliyev1

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 287-296, 2021, DOI:10.32604/csse.2021.05480 - 20 July 2021

    Abstract Blockchain can mean many things to many people. It is a set of protocols and encryption technologies for securely storing data on a distributed network for the developers. It is a distributed ledger for business and finance and the technology underlying the explosion of new digital currencies. For technologists, it is the driving force behind the next generation of the internet. On the other hand, it is a transformational technology facilitating large-scale human progress in previously unimagined ways for the rest of the people, a tool for radically reshaping society and economy. Some view it… More >

  • Open Access

    ARTICLE

    Community Detection in Aviation Network Based on K-means and Complex Network

    Hang He1,*, Zhenhan Zhao1, Weiwei Luo1, Jinghui Zhang2

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 251-264, 2021, DOI:10.32604/csse.2021.017296 - 20 July 2021

    Abstract With the increasing number of airports and the expansion of their scale, the aviation network has become complex and hierarchical. In order to investigate the complex network characteristics of aviation networks, this paper constructs a Chinese aviation network model and carries out related research based on complex network theory and K-means algorithm. Initially, the P-space model is employed to construct the Chinese aviation network model. Then, complex network indicators such as degree, clustering coefficient, average path length, betweenness and coreness are selected to investigate the complex characteristics and hierarchical features of aviation networks and explore… More >

  • Open Access

    ARTICLE

    Research on the Novel Honeycomb-Like Cabin Based on Computer Simulation

    Yong Wang, Yongyan Wang*, Songmei Li, Nan Qin, Peng Du, Tongtong Zhou

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 179-195, 2021, DOI:10.32604/csse.2021.014469 - 20 July 2021

    Abstract The antiknock capability and thermal protection performance of rescue capsules mainly depend on the structural design of the cabin. By designing a new type of cabin structure, it can resist the impact of explosion shock waves and thermal shocks. In this paper, a new honeycomb-like cabin is proposed; the model has a novel thermal insulation layer design. Then, the antiknock capabilities and thermal protection analysis are carried out by using computer software. The “Autodyn” analysis module in ANSYS Workbench 17.0 has been used to simulate the explosion of TNT with a certain quality in a… More >

  • Open Access

    ARTICLE

    Comparison of Detection and Classification of Hard Exudates Using Artificial Neural System vs. SVM Radial Basis Function in Diabetic Retinopathy

    V. Sudha1,*, T. R. Ganesh Babu2, N. Vikram1, R. Raja2

    Molecular & Cellular Biomechanics, Vol.18, No.3, pp. 139-145, 2021, DOI:10.32604/mcb.2021.016056 - 15 July 2021

    Abstract Diabetic Retinopathy (DR) is a disease that occurs in the eye which results in blindness as it passes to proliferative stage. Diabetes can significantly result in symptoms like blurring of vision, kidney failure, nervous damage. Hence it has become necessary to identify retinal damage that occurs in diabetic eye due to raised glucose level in its initial stage itself. Hence automated detection of anamoly has become very essential. The appearance of crimson and yellow lesions is considered as the earliest symptoms of DR which are called as hemorrhages and exudates. If DR is analysed at… More >

  • Open Access

    REVIEW

    Effect of Cardioplegia for Myocardial Protection in Pediatric Cardiac Surgery: A Network Meta-Analysis

    Ke Zhou1, Dongyu Li1, Xintong Zhang2, Wensheng Wang1, Shusen Li1, Guang Song2,*

    Congenital Heart Disease, Vol.16, No.6, pp. 609-645, 2021, DOI:10.32604/CHD.2021.016396 - 08 July 2021

    Abstract Cardioplegia has been widely used to reduce myocardial injury during pediatric cardiac surgery; however, which cardioplegia solution has the best protective effect has not been established. Thus, we compared the myocardial protective effects of different cardioplegia solutions used in pediatric cardiac surgery. Seven databases were searched to identify the relevant randomized controlled trials. A network meta-analysis with a Bayesian framework was conducted. The outcomes included the following biochemical and clinical outcomes: serum concentrations of the creatine kinase-myocardial band at 6 h postoperatively; cardiac troponin I (cTnI) at 4, 12, and 24 h postoperatively; spontaneous beating… More >

  • Open Access

    ARTICLE

    Duplicate Frame Video Forgery Detection Using Siamese-based RNN

    Maryam Munawar, Iram Noreen*

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 927-937, 2021, DOI:10.32604/iasc.2021.018854 - 01 July 2021

    Abstract Video and image data is the most important and widely used format of communication today. It is used as evidence and authenticated proof in different domains such as law enforcement, forensic studies, journalism, and others. With the increase of video applications and data, the problem of forgery in video and images has also originated. Although a lot of work has been done on image forgery, video forensic is still a challenging area. Videos are manipulated in many ways. Frame insertion, deletion, and frame duplication are a few of the major challenges. Moreover, in the perspective… More >

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