Jiacong Yan

dblp:320/0538 · DBLP profile ↗
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4ranked-venue papers
2as first author
4since 2021 · last 2023
0000-0002-2429-036XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-author · 3 since 2021Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Geometric modeling and processing · 67% Computational fabrication · 33%
Theoretical computer science
1 paper
Computational geometry · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › additive manufacturing
adaptive slicing
0.712023
Adaptive Slicing of Implicit Porous Structure with Topology Guarantee · Comput. Aided Des. 2023
Geometric modeling and processing
curve reconstruction
0.712023
Robust Reconstruction of Closed Parametric Curves by Topological Understanding with Persistent Homology · Comput. Aided Des. 2023
Geometric modeling and processing
topology guarantee
0.712023
Adaptive Slicing of Implicit Porous Structure with Topology Guarantee · Comput. Aided Des. 2023
Computational geometry › topological data analysis
persistent homology
0.712023
Robust Reconstruction of Closed Parametric Curves by Topological Understanding with Persistent Homology · Comput. Aided Des. 2023
Computational geometry › computational topology
topological analysis
0.712023
Robust Reconstruction of Closed Parametric Curves by Topological Understanding with Persistent Homology · Comput. Aided Des. 2023

Methods — techniques the papers use, named apart from their topics

persistent homology · 1.3adaptive slicing · 0.7
YearPublicationVenuePosition
2023 Robust Reconstruction of Closed Parametric Curves by Topological Understanding with Persistent Homology
Yaqi He, Jiacong Yan
Comput. Aided Des.2
2023 Adaptive Slicing of Implicit Porous Structure with Topology Guarantee
Jiacong Yan
Comput. Aided Des.1
2023 Reasonable thickness determination for implicit porous sheet structure using persistent homology
Jiacong Yan
Comput. Graph.1
2022 Traffic Transfer Assisted by Super Nodes for Strip-Shaped Wireless Sensor Networks
abstract
In wireless sensor networks (WSNs), the imbalanced energy consumption in data transmission may cause energy holes around the sink, which dramatically shortens the network lifespan. Current solutions have two limitations: one is the inevitable traffic gathered around the sink, and the other is the overly ideal network model, e.g., the square region or circular area. In this article, we focus on strip-shaped networks and propose a novel data transmission scheme, which employs a few super nodes near the sink to take traffic load. Due to the high energy capacities and communication abilities, super nodes transfer a part of the data of the network and send it to the sink directly. The entire network is partitioned into multiple clusters, and super nodes are placed in a specific cluster. We discover that the greatest effect on the network lifetime is the energy consumption of two clusters: 1) the cluster nearest to the sink and 2) the upstream cluster nearest to the super nodes. To improve the system longevity, we make the two clusters have equal energy dissipation, and thus obtain the optimal location of super nodes. Some simulations are carried out to verify the reasonability of the results and exhibit the advantage of our scheme in terms of network lifetime.
Yanhui Zeng, Jiacong Yan, Guohang Huang, Xuxun Liu 0001, Huan Zhou 0002, Anfeng Liu
IEEE Internet Things J.2