A5100770517- Astrophysics and Cosmic Phenomena
- Computer Graphics and Visualization Techniques
- Radio Astronomy Observations and Technology
- Web Applications and Data Management
- graph theory and CDMA systems
- Coding theory and cryptography
- Neutrino Physics Research
- Advanced Vision and Imaging
- Opinion Dynamics and Social Influence
- Opportunistic and Delay-Tolerant Networks
- Gyrotron and Vacuum Electronics Research
- Cognitive Science and Mapping
- Remote Sensing and LiDAR Applications
- Image Enhancement Techniques
- Online Learning and Analytics
- Advanced Text Analysis Techniques
- Web Data Mining and Analysis
- Visual Attention and Saliency Detection
- Complex Network Analysis Techniques
- 3D Shape Modeling and Analysis
- Medical Image Segmentation Techniques
- Software Engineering Techniques and Practices
- Astrophysical Phenomena and Observations
- Radio Wave Propagation Studies
- AI in Service Interactions
Zhejiang University
2023
Hubei University
2023
Shanghai Jiao Tong University
2021-2022
Zhaotong University
2010-2021
Shandong University of Technology
2021
Chongqing University of Posts and Telecommunications
2018
In this work, we present I <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> -SDF, a new method for intrinsic indoor scene reconstruction and editing using differentiable Monte Carlo raytracing on neural signed distance fields (SDFs). Our holistic SDF-based frame-work jointly recovers the underlying shapes, incident radiance materials from multi-view images. We introduce novel bubble loss fine-grained small objects error-guided adaptive...
With increasing popularity of virtual reality and augmented reality, application point clouds is in critical demand as it enables users to freely navigate an immersive scene with six degrees freedom. However, usually comprise large amounts data, are thus difficult stream bandwidth-constrained networks. It therefore important, yet challenging, efficiently the resource-intensive clouds, such that user's quality experience (QoE) guaranteed on a high-level but low bandwidth consumption. To this...
Application of point clouds is in critical demand, which, however, are composed large amounts data and difficult to stream bandwidth-constrained networks. To address this, we propose a QoE-driven tile-based adaptive streaming approach for clouds, reduce transmission redundancy maximize user's QoE. Specifically, by utilizing the perspective projection, model QoE 3D tile as function bitrate its representation, view frustum spatial position, occlusion between tiles, resolution rendering device....
In this paper, we construct a large family of projective linear codes over <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\mathbb F}_{q}$ </tex-math></inline-formula> from the general simplicial complexes F}_{q}^{m}$ via defining-set construction, which generalizes results [IEEE Trans. Inf. Theory 66(11):6762-6773, 2020]. The parameters and weight distributions class are completely determined. By using...
This paper aims to explore the impact of user behavior on information diffusion in D2D (Device-to-Device) communications. A discrete dynamical model, which combines network metrics and behaviors, including social relationship, influence, interest, is proposed analyzed. Specifically, combined with tie success rate data dissemination between users described, interaction factor, stability factor are also defined. Furthermore, state transition process depicted by a discrete-time Markov chain,...
Low efficiency in teaching and time-consuming writing evaluation are two big problems for college English teachers. Therefore, it is necessary to create a new model solve these existing traditional classroom-based teaching. This research adopts the methods of test comparison before after students’ composition experiment, questionnaire semi-open interviews. Empirical on that integrates intelligent review reform system represented by Piangai.com collaborative teachers students conducted. The...
The rise of emerging artificial intelligence (AI) technologies amplifies the pervasiveness intelligent learning assistants (ILAs) that assist learners in effortlessly accessing and managing a wide array contents, connections, services their daily lives. However, few studies have investigated complexity switching behavior post-adoption phase determines success ILAs. Drawing upon theory push-pull-mooring (PPM) model, this study develops configurational model to explore how with varying...
Unfixed university administrative structure and management mode in poor areas lead to more chanceful complicated business management. U-BOSS (University-Business Operation Support System) puts forward a set of basic architecture for constructing internal system based on subject driven.
In this work, we present I$^2$-SDF, a new method for intrinsic indoor scene reconstruction and editing using differentiable Monte Carlo raytracing on neural signed distance fields (SDFs). Our holistic SDF-based framework jointly recovers the underlying shapes, incident radiance materials from multi-view images. We introduce novel bubble loss fine-grained small objects error-guided adaptive sampling scheme to largely improve quality large-scale scenes. Further, propose decompose field into...
The date-compensated discrete Fourier transform (DCDFT) shows great promise as a method for periodicity detection in astronomical signals, particularly searching the evolutive parameters describing quasi-periodic unevenly sampled time series. verification indicates that DCDFT technique is powerful tool to identify periodic components periodograms of 4.8-, 8- and 14.5-GHz light curves blazar S5 0716+714 reveal stabilized period about 2200 days all three wavebands, which accordance with earlier study.
From in-depth research on the basic principles and architecture of search engine, through secondary development for Lucene package, this paper designs an entire engine system framework, realizes its core modules.This can make up deficiency existing enhance accuracy system, so has higher real commercial value.
Through the study of existing image segmentation algorithms, this paper improves standard FCM-based algorithm.And according to principles effective treatment on neighborhood noise by mean filtering and median filtering, proposes a new similarity distance calculation method, which gives full consideration gray information pixels.Experimental results show that improved algorithm has higher efficiency, while having high accuracy strong immunity.
With discrete-time signal processing, we study the flux variability period of Quasar Mkn 421 at radio band 22 and 37 GHz, PKS 1510-089 X-ray 1.5-12 keV. The Discrete Correlation Functions (DCFs) these bands are discussed. It is found that curve (3.78±0.21)a (3.99±0.16)a 37GHz; (1.03±0.11)a in band. results application processing excellently agreement with other methods applied by researchers.
In this paper, we construct a large family of projective linear codes over ${\mathbb F}_{q}$ from the general simplicial complexes F}_{q}^m$ via defining-set construction, which generalizes results [IEEE Trans. Inf. Theory 66(11):6762-6773, 2020]. The parameters and weight distribution class are completely determined. By using Griesmer bound, give necessary sufficient condition such that distance-optimal. For special case, also present for to be near codes. Moreover, by discussing cases with...
Through the analysis of existing educational technology management status, combining with project knowledge systems and knowledge, this paper proposes a program based on realizes it. This is common to solve such problems therefore has high versatility practical value.