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  • Open Access

    ARTICLE

    Smart Assessment of Flight Quality for Trajectory Planning in Internet of Flying Things

    Weiping Zeng1, Xiangping Bryce Zhai1,2,3,*, Cheng Sun1, Liusha Jiang1,2, Yicong Du3, Xuefeng Yan1,3

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-15, 2026, DOI:10.32604/cmc.2025.070777 - 09 December 2025

    Abstract With the expanding applications of unmanned aerial vehicles (UAVs), precise flight evaluation has emerged as a critical enabler for efficient path planning, directly impacting operational performance and safety. Traditional path planning algorithms typically combine Dubins curves with local optimization to minimize trajectory length under 3D spatial constraints. However, these methods often overlook the correlation between pilot control quality and UAV flight dynamics, limiting their adaptability in complex scenarios. In this paper, we propose an intelligent flight evaluation model specifically designed to enhance multi-waypoint trajectory optimization algorithms. Our model leverages a decision tree to integrate attitude More >

  • Open Access

    ARTICLE

    Spatial Analysis Tool for Urban Environmental Quality Assessment: Leveraging Geoinformatics and GIS

    Igor Musikhin*

    Revue Internationale de Géomatique, Vol.34, pp. 939-957, 2025, DOI:10.32604/rig.2025.071168 - 09 December 2025

    Abstract Urban environmental quality research is crucial, as cities become competitive centers concentrating human talent, industrial activity, and financial resources, contributing significantly to national economies. Municipal and government priorities include retaining residents, preventing skilled worker outflow, and meeting the evolving needs of urban populations. The study presents the development and application of a scenario-based spatial analysis tool for assessing urban environmental quality at a detailed spatial scale within the city of Novosibirsk. Using advanced geoinformatics, GIS techniques, and an expert knowledge base, the tool integrates diverse thematic data layers with user-defined scenarios to compute and visualize… More >

  • Open Access

    ARTICLE

    No-Reference Stereo Image Quality Assessment Based on Transfer Learning

    Lixiu Wu1,*, Song Wang2, Qingbing Sang3

    Journal of New Media, Vol.4, No.3, pp. 125-135, 2022, DOI:10.32604/jnm.2022.027199 - 13 June 2022

    Abstract In order to apply the deep learning to the stereo image quality evaluation, two problems need to be solved: The first one is that we have a bit of training samples, another is how to input the dimensional image’s left view or right view. In this paper, we transfer the 2D image quality evaluation model to the stereo image quality evaluation, and this method solves the first problem; use the method of principal component analysis is used to fuse the left and right views into an input image in order to solve the second problem. More >

  • Open Access

    ARTICLE

    Power Quality Assessment Based on Rough AHP and Extension Analysis

    Guofeng Liu*, Can Zhang, Zhengyi Zhu, Xuyan Wang

    Energy Engineering, Vol.119, No.3, pp. 929-946, 2022, DOI:10.32604/ee.2022.014816 - 31 March 2022

    Abstract Due to the increasing power consumption of whole society and widely using of new non-linear and asymmetric electrical equipment, power quality assessment problem in the new period has attracted more and more attention. The mathematical essence of comprehensive assessment of power quality is a multi-attribute optimal decision-making problem. In order to solve the key problem of determining the indicator weight in the process of power quality assessment, a rough analytic hierarchy process (AHP) is proposed to aggregate the judgment opinions of multiple experts and eliminate the subjective effects of single expert judgment. Based on the… More >

  • Open Access

    ARTICLE

    Network Quality Assessment in Heterogeneous Wireless Settings: An Optimization Approach

    Sultan H. Almotiri*, Mohammed A. Al Ghamdi

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 439-455, 2022, DOI:10.32604/cmc.2022.021012 - 03 November 2021

    Abstract The identification of an effective network which can efficiently meet the service requirements of the target, while maintaining ultimate performance at an increased level is significant and challenging in a fully interconnected wireless medium. The wrong selection can contribute to unwanted situations like frustrated users, slow service, traffic congestion issues, missed and/or interrupted calls, and wastefulness of precious network components. Conventional schemes estimate the handoff need and cause the network screening process by a single metric. The strategies are not effective enough because traffic characteristics, user expectations, network terminology and other essential device metrics are… More >

  • Open Access

    ARTICLE

    Provenance Method of Electronic Archives Based on Knowledge Graph in Big Data Environment

    Chun Xu1, Jiang Xu1,2,*

    Journal of Information Hiding and Privacy Protection, Vol.3, No.2, pp. 91-99, 2021, DOI:10.32604/jihpp.2021.019883 - 30 July 2021

    Abstract With the advent of the era of big data, the Provenance Method of electronic archives based on knowledge graph under the environment of big data has produced a large number of electronic archives due to the development of science and technology. How to guarantee the credential characteristics of electronic archives in the big data environment has attracted wide attention of the academic community. Provenance is an important technical means to guarantee the certification of electronic archives. In this paper, knowledge graph technology is used to provide the concept provenance of electronic archives in large data More >

  • Open Access

    ARTICLE

    QI-BRiCE: Quality Index for Bleeding Regions in Capsule Endoscopy Videos

    Muhammad Arslan Usman1, Muhammad Rehan Usman2, Gandeva Bayu Satrya3, Muhammad Ashfaq Khan4, Christos Politis1, Nada Philip1, Soo Young Shin5,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1697-1712, 2021, DOI:10.32604/cmc.2021.014696 - 05 February 2021

    Abstract With the advent in services such as telemedicine and telesurgery, provision of continuous quality monitoring for these services has become a challenge for the network operators. Quality standards for provision of such services are application specific as medical imagery is quite different than general purpose images and videos. This paper presents a novel full reference objective video quality metric that focuses on estimating the quality of wireless capsule endoscopy (WCE) videos containing bleeding regions. Bleeding regions in gastrointestinal tract have been focused in this research, as bleeding is one of the major reasons behind several… More >

  • Open Access

    ARTICLE

    Suitability of VVC and HEVC for Video Telehealth Systems

    Muhammad Arslan Usman1,4,*, Muhammad Rehan Usman2, Rizwan Ali Naqvi3, Bernie Mcphilips4, Christopher Romeika4, Daniel Cunliffe4, Christos Politis1, Nada Philip1

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 529-547, 2021, DOI:10.32604/cmc.2021.014614 - 12 January 2021

    Abstract Video compression in medical video streaming is one of the key technologies associated with mobile healthcare. Seamless delivery of medical video streams over a resource constrained network emphasizes the need of a video codec that requires minimum bitrates and maintains high perceptual quality. This paper presents a comparative study between High Efficiency Video Coding (HEVC) and its potential successor Versatile Video Coding (VVC) in the context of healthcare. A large-scale subjective experiment comprising of twenty-four non-expert participants is presented for eight different test conditions in Full High Definition (FHD) videos. The presented analysis highlights the… More >

  • Open Access

    ARTICLE

    Multi-Scale Blind Image Quality Predictor Based on Pyramidal Convolution

    Feng Yuan, Xiao Shao*

    Journal on Big Data, Vol.2, No.4, pp. 167-176, 2020, DOI:10.32604/jbd.2020.015357 - 24 December 2020

    Abstract Traditional image quality assessment methods use the hand-crafted features to predict the image quality score, which cannot perform well in many scenes. Since deep learning promotes the development of many computer vision tasks, many IQA methods start to utilize the deep convolutional neural networks (CNN) for IQA task. In this paper, a CNN-based multi-scale blind image quality predictor is proposed to extract more effectivity multi-scale distortion features through the pyramidal convolution, which consists of two tasks: A distortion recognition task and a quality regression task. For the first task, image distortion type is obtained by More >

  • Open Access

    ARTICLE

    High Resolution SAR Image Algorithm with Sample Length Constraints for the Range Direction

    Zhenli Wang1, *, Qun Wang1, Fujuan Li1, Shuai Wang2

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1533-1543, 2020, DOI:10.32604/cmc.2020.09721 - 30 April 2020

    Abstract The traditional Range Doppler (RD) algorithm is unable to meet practical needs owing to the limit of resolution. The order of fractional Fourier Transform (FrFT) and the length of sampling signals affect SAR imaging performance when FrFT is applied to RD algorithm. To overcome the above shortcomings, the purpose of this paper is to propose a high-resolution SAR image algorithm by using the optimal order of FrFT and the sample length constraints for the range direction. The expression of the optimal order of SAR range signals via FrFT is deduced in detail. The initial sample More >

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