The development of quantum networks is paramount towards practical and secure communications. Quantum digital signatures (QDS) offer an information-theoretically solution for ensuring data integrity, authenticity, non-repudiation, rapidly growing from proof-of-concept to robust demonstrations. However, previous QDS systems relied on expensive bulky optical equipment, limiting large-scale deployment reconfigurable networking construction. Here, we introduce verify a chip-based network,...

The Compton camera for γ-ray imaging has the advantages of light weight, high detection efficiency and wide energy range. However, it is difficult system to distinguish scattering event photon absorption event, which results in erroneous image reconstruction. In this paper, a simulation model based on three-dimensional position-sensitive CdZnTe detector constructed using GEANT4 program. characteristic from far-field <sup>137</sup>Cs point-like source simulated. location...

Although pedestrian detection has achieved promising performance with the development of deep learning techniques, it remains a great challenge to detect heavily occluded pedestrians in crowd scenes. Therefore, make anchor-free network pay more attention hard examples pedestrians, we propose simple but effective Occlusion-aware Anchor-Free Network (namely OAF-Net) for Specifically, first design novel occlusion-aware head, which includes three separate center prediction branches combining...

A higher-order mechanical model of axially moving nanoscale beams with time-dependent velocity was developed in the framework nonlocal stress gradient theory. Based on correlation between effective and common bending moments, a sixth-order partial differential equation motion respect to transverse displacement derived. Unlike some previous work which assumed beam be constant, axial considered for beams. The resonance vibration frequencies were obtained according governing corresponding...

Cyber-Physical System (CPS) is a system of which integrates physical with cyber capability in order to improve the performance. It being widely used areas closely related national economy and people's livelihood, therefore CPS security problems have drawn global attention an appropriate risk assessment for urgent need. Existing always focuses on reliability assessment, using Probability Risk Assessment (PRA). In this way, part isolated as PRA difficult quantify risks from world....

The nonlocal static bending, buckling, free and forced vibrations of graphene nanosheets are examined based on the Kirchhoff plate theory Taylor expansion approach. nanoplate model incorporates length scale parameter which can capture small effect. governing equations derived using Hamilton's principle Navier-type solution is developed for simply-supported nanosheets. analytical results proposed deflection, natural frequency, amplitude vibration buckling load. Moreover, effects parameter,...

We present a method for high quality soft shadows area lights in cinematic lighting. The is an extension of traditional shadow maps, so it has the advantage image based methods; algorithm's complexity independent geometric complexity. introduce multilayer transparent which can be used to produce scenes with extremely complex geometry, fur, and volume objects. Instead sampling filtering we compute factor by ray tracing map. result similar that achieved stochastic tracing, but at much lower cost.

research-article Share on Real Time Cluster Path Tracing Authors: Feng Xie Facebook Reality Labs, United States of America AmericaView Profile , Petro Mishchuk Apex Systems, USA USAView Warren Hunt Authors Info & Claims SA '21 Technical Communications: SIGGRAPH Asia 2021 CommunicationsDecember Article No.: 18Pages 1–4https://doi.org/10.1145/3478512.3488605Online:14 December 2021Publication History 0citation87DownloadsMetricsTotal Citations0Total Downloads87Last 12 Months87Last 6 weeks2 Get...

Based on theoretical analysis and numerical calculations, this study systematically investigated the changes in rice tillering dynamics simulation of stem tiller growth during stage using farm water level as a regulation index for irrigation drainage. pit testing, results show that both flooding drought suppress output have certain compensating effect following rehydration. Heavy period reduced effective rate, while light had little rate. Flooding maintaining high infiltration rate also...

The emergence of harvesting robotics offers a promising solution to the issue limited agricultural labor resources and increasing demand for fruits. Despite notable advancements in field robotics, utilization such technology orchards is still limited. key challenge robots improve operational efficiency. Taking into account inner-arm conflicts, couplings DoFs, dynamic tasks, we propose task planning strategy robot with four arms this paper. proposed method employs Markov game framework...

Abstract We present an importance sampling method for the bidirectional scattering distribution function ( bsdf ) of hair. Our is based on multi‐lobe hair model presented by Sadeghi et al. [ SPJT10 ]. reduce noise drawing samples from a that approximates well. algorithm efficient and easy to implement, since process requires only evaluation few analytic functions, with no significant memory overhead or need precomputation. tested our in research raytracer production renderer micropolygon...

Activity recognition from smartphone sensor inputs is of great importance to enhance user experience. Our study aims investigate the applicability Genetic Programming (GP) approach on this complex real world problem. Traditional methods often require substantial human efforts define good features. Moreover optimal features for one type activity may not be suitable another. In comparison, our GP does such feature extraction process, hence, more activities where are difficult pre-defined. To...

Extracting complete cross-sectional geometric features from the large amount of point cloud data acquired by laser scanners plays an important part in detection deformations tunnel inspection projects. Tunnel cross-sections have symmetrical features, and information is traditionally collected manually. The traditional manual extraction clouds inefficient limited subjectivity operators when addressing problems. This paper proposes a new algorithm for automatic identification lining section...

Industrial control system (ICS) plays an important role in the critical infrastructure, and any compromise their security can result grave consequences. Since occurrence of "Stuxnet" event 2010, information problems ICS cause intense attentions all over world. How to assure has become a hot topic governments, industrial sectors academic community around Currently, testbed technique effective simulation solution for checking vulnerabilities validating solutions ICS. In this paper, we review...

Recognition of activities such as sitting, standing, walking and running can significantly improve the interaction between human machine, especially on mobile devices. In this study we present a GP based method which automatically evolve recognition programs for various using multisensor data. This investigation shows that is capable achieving good binary problems well multi-class problems. With domain knowledge about an activity not required. Furthermore, extraction time series features...

The spectral super-resolution (SpeSR) from multispectral images (MSIs) to hyperspectral (HSIs) can bring rich information. deep learning-based methods have demonstrated their powerful ability for the SpeSR task, which requires paired HSI/MSI train model. However, HSIs and MSIs are always obtained at different times under imaging conditions, covering areas. To address this issue, in paper, a framework named BliEstGAN based on generative adversarial network (GAN) is proposed estimate...

We consider the challenging problem of estimating causal effects from purely observational data in bi-directional Mendelian randomization (MR), where some invalid instruments, as well unmeasured confounding, usually exist. To address this problem, most existing methods attempt to find proper valid instrumental variables (IVs) for target effect by expert knowledge or assuming that model is a one-directional MR model. As such, paper, we first theoretically investigate identification data. In...

With the development of mineral resources, minerals are becoming increasingly difficult to process. In order utilize these resources more effectively, in-depth research into process mineralogy has become important in field mineralogy, and particle size measurement under microscope is one critical aspects mineralogy. At present, use scanning electron microscopes other equipment for very expensive, manual problems such as poor accuracy low efficiency. addition, there a lack reference materials...

This paper begins with a discussion of the deficiency current algorithms which use number changing points frame-difference as threshold to determine moving object. Based on human morphology, feature body in video surveillance is analyzed. Secondly, "the head and shoulder projection curve"," proportion hair "and "height-width ratio "are extracted three key parameters by mathematical methods. Finally, two are used detect target, replacing existing threshold. DSP-based experimental results show...