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  • Open Access

    ARTICLE

    Easy to Calibrate: Marker-Less Calibration of Multiview Azure Kinect

    Sunyoung Bu1, Suwon Lee2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 3083-3096, 2023, DOI:10.32604/cmes.2023.024460 - 09 March 2023

    Abstract Reconstructing a three-dimensional (3D) environment is an indispensable technique to make augmented reality and augmented virtuality feasible. A Kinect device is an efficient tool for reconstructing 3D environments, and using multiple Kinect devices enables the enhancement of reconstruction density and expansion of virtual spaces. To employ multiple devices simultaneously, Kinect devices need to be calibrated with respect to each other. There are several schemes available that calibrate 3D images generated from multiple Kinect devices, including the marker detection method. In this study, we introduce a markerless calibration technique for Azure Kinect devices that avoids the More > Graphic Abstract

    Easy to Calibrate: Marker-Less Calibration of Multiview Azure Kinect

  • Open Access

    ARTICLE

    ER-Net: Efficient Recalibration Network for Multi-View Multi-Person 3D Pose Estimation

    Mi Zhou1, Rui Liu1,*, Pengfei Yi1, Dongsheng Zhou1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 2093-2109, 2023, DOI:10.32604/cmes.2023.024189 - 06 February 2023

    Abstract Multi-view multi-person 3D human pose estimation is a hot topic in the field of human pose estimation due to its wide range of application scenarios. With the introduction of end-to-end direct regression methods, the field has entered a new stage of development. However, the regression results of joints that are more heavily influenced by external factors are not accurate enough even for the optimal method. In this paper, we propose an effective feature recalibration module based on the channel attention mechanism and a relative optimal calibration strategy, which is applied to the multi-view multi-person 3D More > Graphic Abstract

    ER-Net: Efficient Recalibration Network for Multi-View Multi-Person 3D Pose Estimation

  • Open Access

    ARTICLE

    Traceability Technology of DC Electric Energy Metering for On-Site Inspection of Chargers

    Hua Li1,*, Dezhi Xiong2,3, Zhi Wang2,3

    Energy Engineering, Vol.120, No.3, pp. 715-727, 2023, DOI:10.32604/ee.2022.022990 - 03 January 2023

    Abstract The on-site inspection of high-power DC chargers results in new DC high-current measurement and DC energy traceability system requirements. This paper studies the traceability technology of electric energy value for automotive high-power DC chargers, including: (1) the traceability method of the built-in DC energy meter and shunt of the charger; (2) precision DC high current and small precision DC voltage output and measurement technology. This paper designs a 0.1 mA~600 A DC high current measurement system and proposes a 0.005 level DC power measurement traceability system. The uncertainty evaluation experiment of the DC power measurement More >

  • Open Access

    ARTICLE

    Design of Ka-Band Phased Array Antenna with Calibration Function

    Xiao Liu1,2, Xingyao Zeng1,*, Chengxiang Hao1, Haibo Zhang1, Zhongjun Yu1,2, Ting Lv3, Meng Li4, Zhen Zhang5

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6251-6261, 2023, DOI:10.32604/cmc.2023.027114 - 28 December 2022

    Abstract In this paper, we have proposed a novel structure of Ka-band based phased array antenna with calibration function. In the design of Ka-band antenna, the active phased array system is adopted and the antenna would work in the dual polarization separation mode. We have given out the schematic diagram for the proposed Ka-band antenna, where the Ka-band antenna is in the form of waveguide slot array antenna, with 96 units in azimuth and 1 unit in distance. Each group of units is driven by a single-channel Transmitter/Receiver (T/R) component, and the whole array contains 192… More >

  • Open Access

    ARTICLE

    Resource Based Automatic Calibration System (RBACS) Using Kubernetes Framework

    Tahir Alyas1, Nadia Tabassum2, Muhammad Waseem Iqbal3,*, Abdullah S. Alshahrani4, Ahmed Alghamdi5, Syed Khuram Shahzad6

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 1165-1179, 2023, DOI:10.32604/iasc.2023.028815 - 06 June 2022

    Abstract Kubernetes, a container orchestrator for cloud-deployed applications, allows the application provider to scale automatically to match the fluctuating intensity of processing demand. Container cluster technology is used to encapsulate, isolate, and deploy applications, addressing the issue of low system reliability due to interlocking failures. Cloud-based platforms usually entail users define application resource supplies for eco container virtualization. There is a constant problem of over-service in data centers for cloud service providers. Higher operating costs and incompetent resource utilization can occur in a waste of resources. Kubernetes revolutionized the orchestration of the container in the cloud-native… More >

  • Open Access

    ARTICLE

    Research on Rainfall Estimation Based on Improved Kalman Filter Algorithm

    Wen Zhang1,2, Wei Fang1,3,*, Xuelei Jia1,2, Victor S. Sheng4

    Journal of Quantum Computing, Vol.4, No.1, pp. 23-37, 2022, DOI:10.32604/jqc.2022.026975 - 12 August 2022

    Abstract In order to solve the rainfall estimation error caused by various noise factors such as clutter, super refraction, and raindrops during the detection process of Doppler weather radar. This paper proposes to improve the rainfall estimation model of radar combined with rain gauge which calibrated by common Kalman filter. After data preprocessing, the radar data should be classified according to the precipitation intensity. And then, they are respectively substituted into the improved filter for calibration. The state noise variance and the measurement noise variance can be adaptively calculated and updated according to the input observation More >

  • Open Access

    ARTICLE

    Friction Coefficient Calibration of Sunflower Seeds for Discrete Element Modeling Simulation

    Shuai Wang, Zhihong Yu*, Wenjie Zhang, Dongxu Zhao, Aorigele

    Phyton-International Journal of Experimental Botany, Vol.91, No.11, pp. 2559-2582, 2022, DOI:10.32604/phyton.2022.021354 - 12 July 2022

    Abstract

    Sunflower (Helianthus annuus L.) is one of the four major oil crops in the world and has high economic value. However, the lack of discrete element method (DEM) models and parameters for sunflower seeds hinders the application of DEM for computer simulation in the key working processes of sunflower seed sowing and harvesting. The present study was conducted on two varieties of sunflower, and the DEM model of sunflower seeds was established by using 3D scanning technology based on the distribution of triaxial dimensions and volumes of the geometric model of sunflower seeds. Similarly, the physical

    More >

  • Open Access

    ARTICLE

    Multilevel Modelling for Surgical Tool Calibration Using LINEX Loss Function

    Mansour F. Yassen1,2,*

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1691-1706, 2022, DOI:10.32604/cmc.2022.029701 - 18 May 2022

    Abstract Quantifying the tool–tissue interaction forces in surgery can be utilized in the training of inexperienced surgeons, assist them better use surgical tools and avoid applying excessive pressures. The voltages read from strain gauges are used to approximate the unknown values of implemented forces. To this objective, the force-voltage connection must be quantified in order to evaluate the interaction forces during surgery. The progress of appropriate statistical learning approaches to describe the link between the genuine force applied on the tissue and numerous outputs obtained from sensors installed on surgical equipment is a key problem. In More >

  • Open Access

    ARTICLE

    Error Calibration Model of Air Pressure Sensor Based on DF-RBF

    Pengyu Liu1,2,3,*, Wenjing Zhang1,2,3, Tao Wang1,2,3, Xiaowei Jia4, Ying Ma5, Kebin Jia1,2,3, Yanming Wang1,2,3

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 855-864, 2022, DOI:10.32604/iasc.2022.022380 - 08 February 2022

    Abstract The development of upper-air meteorological detection is contingent upon the improvement of detection instruments. Air pressure sensors play a key role in high altitude meteorological measurement, but they can be frequently affected by temperature fluctutations, resulting in less accurate measurement data. The need to address this limitation has served as the core problem for meteorological detection and drawn great attention from the community. In this paper, we propose a calibration model for the DF-RBF air pressure sensor. The proposed method decomposes the detection process and corrects the measurements by fitting the residuals to true pressure… More >

  • Open Access

    ARTICLE

    A Mixed Radiative-Convective Technique for the Calibration of Heat Flux Sensors in Hypersonic Flow

    Antonio Esposito1, Marcello Lappa2,*, Rocco Pagliara3, Gennaro Spada1

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.2, pp. 189-203, 2022, DOI:10.32604/fdmp.2022.019605 - 16 December 2021

    Abstract The ability to measure the very high heat fluxes that typically occur during the hypersonic re-entry phase of space vehicles is generally considered a subject of great importance in the aerospace field. Most of the sensors used for these measurements need to be checked periodically and re-calibrated accordingly. Another bottleneck relates to the need to procure thermal sources that are able to generate reliable reference heat fluxes in the range between 100 and 1000 kW/m2 (as order of magnitude). In the present study, a method is presented by which, starting from a calibration system with a capacity… More >

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