Jihoon Lee, Nammee Moon^*

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 647-660, 2021, DOI:10.32604/cmc.2021.016712

Abstract In this study, using Head Mounted Display (HMD), which is one of the biggest advantage of Virtual Reality (VR) environment, tracks the user’s gaze in 360° video content, and examines how the gaze pattern is distributed according to the user’s immersion. As a result of analyzing the gaze pattern distribution of contents with high user immersion and contents with low user immersion through a questionnaire, it was confirmed that the higher the immersion, the more the gaze distribution tends to be concentrated in the center of the screen. Through this experiment, we were able to understand the factors that make… More >

Qinghai Li¹, Ziyi Zhao², Hao Wu^1,*, Xiaoyu Li^3,*, Qinsheng Zhu¹, Shan Yang⁴

Journal of Quantum Computing, Vol.3, No.1, pp. 35-43, 2021, DOI:10.32604/jqc.2021.016634

Abstract In the detection process of classic radars such as radar/lidar, the detection performance will be weakened due to the presence of background noise and loss. The quantum illumination protocol can use the spatial correlation between photon pairs to improve image quality and enhance radar detection performance, even in the presence of loss and noise. Based on this quantum illumination LIDAR, a theoretic scheme is developed for the detection and tracking of moving targets, and the trajectory of the object is analyzed. Illuminated by the quantum light source as Spontaneous Parametric Down-Conversion (SPDC), an opaque target can be identified from the… More >

Yu Wang^*

Journal on Artificial Intelligence, Vol.3, No.2, pp. 63-72, 2021, DOI:10.32604/jai.2021.010455

Abstract Visual tracking is a classical computer vision problem with many applications. Efficient convolution operators (ECO) is one of the most outstanding visual tracking algorithms in recent years, it has shown great performance using discriminative correlation filter (DCF) together with HOG, color maps and VGGNet features. Inspired by new deep learning models, this paper propose a hybrid efficient convolution operators integrating fully convolution network (FCN) and residual network (ResNet) for visual tracking, where FCN and ResNet are introduced in our proposed method to segment the objects from backgrounds and extract hierarchical feature maps of objects, respectively. Compared with the traditional VGGNet,… More >

Tingting Yang^1,*, Shuwen Jia¹, Boxiong Yang¹, Chenxi Kan²

Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 683-692, 2021, DOI:10.32604/iasc.2021.017235

Abstract In the augmented reality system, the position and direction of the user’s point of view and line of sight in the real scene is acquired in real-time. The position and direction information will determine the exact position of the virtual object of the real scene. At the same time, various coordinate systems are established according to the user’s line of sight. So registration tracking technology is very important. The paper proposes an accurate, stable, and effective augmented reality registration algorithm. The method adopts the method of ORB (oriented FAST and rotated BRIEF) features matching combined with RANSAC (random sample consensus)… More >

Dah-Jing Jwo^*, Meng-Hsien Hsieh

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1785-1805, 2021, DOI:10.32604/cmc.2021.017225

Abstract In this paper, both the integrity monitoring and fault detection and exclusion (FDE) mechanisms are incorporated into the vector tracking loop (VTL) architecture of the Global Positioning System (GPS) receiver for reliability enhancement. For the VTL, the tasks of signal tracking and navigation state estimation no longer process separately and a single extended Kalman filter (EKF) is employed to simultaneously track the received signals and estimate the receiver’s position, velocity, etc. In contrast to the scalar tracking loop (STL) which utilizes the independent parallel tracking loop approach, the VTL technique is beneficial from the correlation of each satellite signal and… More >

Allard T. van den Hoven¹, Sultan Yilmazer¹, Lidia R. Bons¹, Roderick W. J. van Grootel¹, L. W. Geenen¹, An M. van Berendoncks¹, Anthonie L. Duijnhouwer², Hans-Marc J. Siebelink³, Jolien W. Roos-Hesselink¹, Annemien E. van den Bosch^1,*

Congenital Heart Disease, Vol.16, No.4, pp. 357-368, 2021, DOI:10.32604/CHD.2021.014462

Abstract Aim: This study aimed to describe the systolic left ventricular global longitudinal strain (LvGLS) and left ventricular peak early diastolic strain rate (Sre) in adult women with Turner syndrome (TS) and to determine its relationship with exercise capacity and clinical parameters. Methods: In this cross-sectional cohort study, consecutively included adult TS women underwent an electrocardiogram, transthoracic echocardiogram (TTE) and cardiopulmonary exercise test (CPET) on the same day. LvGLS and Sre were measured using 2D speckle tracking analysis (STE) and compared with age-matched healthy female controls. Results: Ninety-four adult women (age 36 ± 13 years) with TS and 32 healthy age-matched… More >

Xinyue Lv¹, Xiaofeng Lian^2,*, Li Tan¹, Yanyan Song¹, Chenyu Wang³

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 513-526, 2021, DOI:10.32604/iasc.2021.016450

Abstract With the rapid development of the Internet of Things and advanced sensors, vision-based monitoring and forecasting applications have been widely used. In the context of the Internet of Things, visual devices can be regarded as network perception nodes that perform complex tasks, such as real-time monitoring of road traffic flow, target detection, and multi-target tracking. We propose the High-Performance detection and Multi-Correlation measurement algorithm (HPMC) to address the problem of target occlusion and perform trajectory correlation matching for multi-target tracking. The algorithm consists of three modules: 1) For the detection module, we proposed the You Only Look Once(YOLO)v3_plus model, which… More >

Kamran Sadiq Awan¹, Tahir Mahmood¹, Mohammad Shorfuzzaman², Rashid Ali³, Raja Majid Mehmood^4,*

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 29-43, 2021, DOI:10.32604/cmc.2021.014824

Abstract Solar energy is a widely used type of renewable energy. Photovoltaic arrays are used to harvest solar energy. The major goal, in harvesting the maximum possible power, is to operate the system at its maximum power point (MPP). If the irradiation conditions are uniform, the P-V curve of the PV array has only one peak that is called its MPP. But when the irradiation conditions are non-uniform, the P-V curve has multiple peaks. Each peak represents an MPP for a specific irradiation condition. The highest of all the peaks is called Global Maximum Power Point (GMPP). Under uniform irradiation conditions,… More >

Roderick W. J. van Grootel, Allard T. van den Hoven, Dan Bowen, Tijmen Ris, Jolien W. Roos-Hesselink, Annemien E. van den Bosch^*

Congenital Heart Disease, Vol.16, No.3, pp. 221-232, 2021, DOI:10.32604/CHD.2021.013793

Abstract Aims: To assess the prognostic value of left ventricular (LV) global longitudinal strain (GLS) and global longitudinal early diastolic strain rate (GLSre) with regard to cardiovascular events, as congenital aortic stenosis (AoS) is associated with significant mortality and morbidity but predictors for clinical outcome are scarce. Strain analysis provides a robust and reproducible method for early detection of LV dysfunction, which might be of prognostic value. Methods: This prospective study, included clinically stable patients with congenital AoS between 2011–2013. LV GLS and GLSre was performed in the apical 4, 3 and 2-chamber views using Tomtec software. The endpoint was a… More >

Dah-Jing Jwo^1,*, Jen-Hsien Lai²

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2883-2898, 2021, DOI:10.32604/cmc.2021.015102

Abstract This paper investigates the minimum error entropy based extended Kalman filter (MEEKF) for multipath parameter estimation of the Global Positioning System (GPS). The extended Kalman filter (EKF) is designed to give a preliminary estimation of the state. The scheme is designed by introducing an additional term, which is tuned according to the higher order moment of the estimation error. The minimum error entropy criterion is introduced for updating the entropy of the innovation at each time step. According to the stochastic information gradient method, an optimal filer gain matrix is obtained. The mean square error criterion is limited to the… More >