The identification and classification of collective people’s activities are gaining momentum as significant themes in machine learning,with many potential applications *** need for representation of collective human ...
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The identification and classification of collective people’s activities are gaining momentum as significant themes in machine learning,with many potential applications *** need for representation of collective human behavior is especially crucial in applications such as assessing security conditions and preventing crowd *** paper investigates the capability of deep neural network(DNN)algorithms to achieve our carefully engineered pipeline for crowd *** includes three principal stages that cover crowd analysis ***,individual’s detection is represented using the You Only Look Once(YOLO)model for human detection and Kalman filter for multiple human tracking;Second,the density map and crowd counting of a certain location are generated using bounding boxes from a human detector;and Finally,in order to classify normal or abnormal crowds,individual activities are identified with pose *** proposed system successfully achieves designing an effective collective representation of the crowd given the individuals in addition to introducing a significant change of crowd in terms of activities *** results onMOT20 and SDHA datasets demonstrate that the proposed system is robust and *** framework achieves an improved performance of recognition and detection peoplewith a mean average precision of 99.0%,a real-time speed of 0.6ms non-maximumsuppression(NMS)per image for the SDHAdataset,and 95.3%mean average precision for MOT20 with 1.5ms NMS per image.
This study investigates the enhanced properties of CaCu3Ti4O12 (CCTO) ceramics by substituting oxygen anions with chlorine to form CaCu3Ti4O10Cl2 (CCTO-Cl2). The structural, morphological, optical, and dielectric char...
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In Mobile Ad hoc Networks (MANET), Ad hoc On Demand Distance Vector (AODV) protocol suffers from the black hole attacks that disrupts the functionality of the network by displaying false information during routing pro...
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The rise of connected and autonomous vehicles signifies an era of intelligent transportation systems, where robust and continued network connectivity is essential for critical applications and enhanced in-vehicle Cons...
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The rise in digitally altered images has made research on robust solutions for real image verification across sectors, including media and cybersecurity very essential. Deepfake technology's development compromise...
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This paper proposes and evaluates a new task scheduling method for parallel and distributed applications in an environment consisting of multiple networks having different characteristics. The proposed method can sche...
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Developing efficient and sustainable technologies for energy storage is critical for addressing global energy demands. This study systematically investigates CeO2-TiO2 nanocomposites as electrode materials for superca...
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Developing efficient and sustainable technologies for energy storage is critical for addressing global energy demands. This study systematically investigates CeO2-TiO2 nanocomposites as electrode materials for supercapacitors. The nanocomposite of CeO2 and TiO2 was synthesized by co-precipitation and mechanical alloying, offering a scalable and environmentally friendly approach. Comprehensive characterization through XRD, FESEM, and XPS analyses revealed the successful formation of heterojunctions between CeO2 and TiO2 phases, with optimal mixed Ce3+/Ce4+ valency (ratio 0.37) and abundant surface hydroxyl groups. The CeO2-TiO2 nanocomposite exhibited superior electrochemical performance, delivering a remarkable specific capacity of 210.3 C/g at 2 A/g and a specific capacitance of 300.5 F/g at the same rate, significantly outperforming pristine CeO2 (168.1 C/g, 240.1 F/g) and TiO2 (153.9 C/g, 219.9 F/g). When assembled in an asymmetric supercapacitor (ASC) configuration with activated carbon, the device demonstrated exceptional performance with a high specific capacitance of approximately 271.5 F/g at 0.4 A/g, which gradually decreases to around 72.4 F/g at 12 A/g, with remarkable capacitance retention of 97.05 % over 4000 cycles. Kinetic analysis revealed a transition towards surface-controlled charge storage (b-value 0.725) in the composite, with capacitive contributions reaching 90 % at high scan rates. The ASC device achieved impressive maximum energy and power densities of 84.8 Wh/kg and 20.25 kW/kg, respectively, establishing its potential for practical energy storage applications. The enhanced performance is ascribed to the synergistic effects between CeO2 and TiO2, where CeO2 provides abundant redox active sites while the TiO2 network ensures efficient electron transport. These findings
The security of quantum broadcast communication(QBC) and authentication protocol based on Greenberger–Horne–Zeilinger(GHZ) state and quantum one-time pad is analyzed. It is shown that there are some security iss...
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The security of quantum broadcast communication(QBC) and authentication protocol based on Greenberger–Horne–Zeilinger(GHZ) state and quantum one-time pad is analyzed. It is shown that there are some security issues in this ***, an external eavesdropper can take the intercept–measure–resend attack strategy to eavesdrop on 0.369 bit of every bit of the identity string of each receiver without being detected. Meanwhile, 0.524 bit of every bit of the secret message can be eavesdropped on without being detected. Secondly, an inner receiver can take the intercept–measure–resend attack strategy to eavesdrop on half of the identity string of the other's definitely without being checked. In addition, an alternative attack called the CNOT-operation attack is discussed. As for the multi-party QBC protocol, the attack efficiency increases with the increase of the number of users. Finally, the QBC protocol is improved to a secure one.
In this paper we present our research concerning an automatic exchange between standard geometrical descriptions of a simulation environment built with (non-)convex polyhedra and a STEP conforming data format. Further...
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Hollow-core photonic crystal glass fibers have a high potential for gas sensing applications, since large light-gas interaction lengths can be effectively attained. Nevertheless, in order to enhance effective diffusio...
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