Xiuling Zhang

Dalian University

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Papers

Citation

H-Index

i-10 index

Research Trends

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Document Type

Co-Authors

Congju Li

University of Science and Technology Beijing

Bingce Du

Yanshan University

Shuyu Zhao

Jinan University

Yingying Yin

City University of Hong Kong

Ran Cao

Donghua University

Jiaona Wang

Beijing Institute of Fashion Technology

Liang Zhao

Dalian University of Technology

Hongmin Fan

Yanshan University

Xinyu Du

Xi'an University of Architecture and Technology

Ziyun Wu

Yanshan University

Cooperative Institutions

Yanshan University

Chinese Academy of Sciences

University of Chinese Academy of Sciences

University of Science and Technology Beijing

CAS Key Laboratory of Urban Pollutant Conversion

Beijing Institute of Nanoenergy and Nanosystems

Shanghai Jiao Tong University

Tianjin University

Southeast University

Donghua University

Author Statistics

Papers

Citation

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i-10 index

Research Field

Ram Velocity Control in Plastic Injection Molding Machines with Neural Network Learning Control

Lecture notes in computer science (2004)

Gaoxiang Ouyang Xiaoli Li Xinping Guan Zhiqiang Zhang Xiuling Zhang

Feed forward

Iterative Learning Control

Feedforward neural network

Tracking (education)

Injection molding machine

10.1007/978-3-540-28648-6_26

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Citations (1)

LAANet: lightweight attention-guided asymmetric network for real-time semantic segmentation

Neural Computing and Applications (2022)

Xiuling Zhang Bingce Du Ziyun Wu Tingbo Wan

Pooling

Pyramid (geometry)

Upsampling

Feature (linguistics)

10.1007/s00521-022-06932-z

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Citations (44)

A Dual‐Salt Gel Polymer Electrolyte with 3D Cross‐Linked Polymer Network for Dendrite‐Free Lithium Metal Batteries

Advanced Science (2018)

Wei Fan Nianwu Li Xiuling Zhang Shuyu Zhao Ran Cao

Lithium metal batteries show great potential in energy storage because of their high energy density. Nevertheless, building a stable solid electrolyte interphase (SEI) and restraining the dendrite growth are difficult to realize with traditional liquid electrolytes. Solid and gel electrolytes are considered promising candidates to restrain the dendrites growth, while they are still limited by low ionic conductivity and incompatible interphases. Herein, a dual-salt (LiTFSI-LiPF

Lithium metal

Dendrite (mathematics)

Polymer Electrolytes

10.1002/advs.201800559

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Citations (251)

Methods for measuring egocentric distance perception in visual modality

Frontiers in Psychology (2023)

Bo Dong Airui Chen Zhengyin Gu Yuan Sun Xiuling Zhang

Egocentric distance perception has been widely concerned by researchers in the field of spatial perception due to its significance in daily life. The frame of perception involves the perceived distance from an observer to an object. Over the years, researchers have been searching for an optimal way to measure the perceived distance and their contribution constitutes a critical aspect of the field. This paper summarizes the methodological findings and divides the measurement methods for egocentric distance perception into three categories according to the behavior types. The first is Perceptional Method, including successive equal-appearing intervals of distance judgment measurement, verbal report, and perceptual distance matching task. The second is Directed Action Method, including blind walking, blind-walking gesturing, blindfolded throwing, and blind rope pulling. The last one is Indirect Action Method, including triangulation-by-pointing and triangulation-by-walking. In the meantime, we summarize each method’s procedure, core logic, scope of application, advantages, and disadvantages. In the end, we discuss the future concerns of egocentric distance perception.

Observer (physics)

Modality (human–computer interaction)

10.3389/fpsyg.2022.1061917

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Citations (4)

An Algorithm for Fuzzy Web Mining Based on FLAAT

Journal of Wuhan Yejin University of Science and Technology (2005)

Rui Wu Xiuling Zhang

Web logs contain a lot of user browsing information. How to mine user browsing interest patterns is an important research topic. In order to mine more completely browsing interest patterns, a new structure type-FLAAT is introduced in this paper, which can find those preferred browsing paths that may be neglected. Besides,browsing time on a web page is considered and processed using fuzzy set to form linguistic term to make the mined paths more natural and more understandable.Experiment shows that the algorithm is accurate and scalable.

Source

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Hybridized Nanogenerators for Harvesting Vibrational Energy by Triboelectric–Piezoelectric–Electromagnetic Effects

Advanced Materials Technologies (2018)

Xinyu Du Shuyu Zhao Yi Xing Nianwu Li Jiaona Wang

Abstract Harvesting and utilizing the wasted ambient environmental energy can be a feasible solution for continuous operation of distributed sensors that require sustainable power sources. Vibrational mechanical energy is the most ubiquitous energy source in the environment. Therefore, it is important to develop a method to efficiently collect vibrational energy. Here, a hybridized nanogenerator based on triboelectric–piezoelectric–electromagnetic effects for the highly efficient conversion of vibrational mechanical energy into electricity is reported. Integrating with transformers and rectifiers, the hybridized nanogenerator can deliver a power density up to 100 W m −3 . Through a power management circuit integrated into the hybridized nanogenerator, a continuous direct current (DC) output is achieved, providing sufficient DC power for driving a radio‐frequency wireless tire‐pressure monitoring system and other conventional electronics. This work takes a significant step toward ubiquitous vibrational energy harvesting and its potential applications in self‐powered wireless sensor networks.

Nanogenerator

Vibrational energy

Mechanical energy

10.1002/admt.201800019

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Citations (38)

A Flexible, Lightweight, and Wearable Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Advanced Materials Technologies (2018)

Fan Wu Congju Li Yingying Yin Ran Cao Hui Li

Abstract Triboelectric nanogenerators (TENGs), which collect the energy neglected constantly in the daily life of humans, have been applied to various fields, such as energy harvesting, self‐powered sensing, and environmental monitoring. With the growing demand for lightweight, flexible, and portable electric devices, TENGs have become a hot topic. In this work, a flexible, lightweight, and wearable TENG combining a nickel conductive mesh and a perfluorinated ethylene‐propylene film via the ultrasonic‐welding technique is presented. The TENG with an arch‐bridge shape is in possession of plenty of excellent properties, including high output, resistance to destruction, and long‐term stability, which not only owns a maximum power density of 36 mW m −2 at the optimal matching load impedance of 9 MΩ, but can also power a scientific calculator and 19 LEDs connected in series. Furthermore, the TENG could be used as a self‐powered sensor to remotely control the state of electric fans or bulbs through a wireless sensing system.

Nanogenerator

Mechanical energy

10.1002/admt.201800216

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Citations (39)

Reinforcement Learning Combined with Heuristic Search for Solving Discrete Space Path Planning Problems

Xiuling Zhang Xuenan Kang Kailun Wei Jinxiang Li Kai Ma

Reinforcement learning (RL) has been successfully applied to solve path planning problems, but learning is generally slow. The main reason is not making full use of information collected during interaction with the environment. This paper proposes a novel method to solve the discrete space path planning problem in an environment without prior knowledge with intensive obstacles based on RL and heuristic search. Firstly, we apply Dyna-Q algorithm of RL to explore the map and search for the target point and optimize its policy with upper confidence bound (UCB). Then, when the target point is found, we use heuristic search to plan the path from the starting point to the target point and narrow the path to a small range. Finally, we combine Dyna-Q algorithm with the heuristic search recommended path for path planning. We evaluate our algorithm using maze navigation problem. The results verify that heuristic search accelerates Dyan-Q convergence.

Null-move heuristic

Any-angle path planning

10.1109/ccdc52312.2021.9602834

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Citations (2)

Dual Insurance Design Achieves Long-Life Cycling of Li-Metal Batteries under a Wide Temperature Range

ACS Applied Energy Materials (2019)

Wei Fan Xiuling Zhang Congju Li

Li-metal batteries show great potential in energy storage devices but still suffer a lot from dendrite growth, which restricts its long-time application due to safety and cycling concerns. Here, a dual insurance system is reported to avoid short-circuit occurrence and cycling performance decline through a two-step procedure. An Al2O3/PVDF-HFP layer is sandwiched into the in situ polymerized PMMA coat. The PMMA is so hard that the dendrites are not easy to impale; moreover, the electrospun Al2O3/PVDF-HFP layer could react with plunged lithium dendrites and inhibit the short circuit from occurring. Not only does the obtained composite polymer electrolyte (CPE) ensure desirable ionic conductivity (3.43 × 10–4 S cm–1 at 25 °C), wide electrochemical window, and considerable cycling stability but also dendrite inhibition and cycling stability are improved. The assembled full cell could cycle steadily under a wide temperature range and current density with desirable performance, when compared with abnormal cycling of liquid electrolyte under elevated temperatures. This work combines two methods to ensure the safety of Li-metal batteries, which enlightens a new thought for safe electrolyte design.

Cycling

Dendrite (mathematics)

Electrochemical window

Temperature cycling

10.1021/acsaem.9b01032

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Citations (10)

Real-time object detection algorithm based on improved YOLOv3

Journal of Electronic Imaging (2019)

Xiuling Zhang Xiaopeng Dong Qijun Wei Kaixuan Zhou

Object detection is a challenging computer vision problem with numerous practical applications. Due to low accuracy and slow detection speed in object detection, we propose a real-time object detection algorithm based on YOLOv3. First, to solve the problem that features are likely to be lost in the feature extraction process of YOLOv3, a DB-Darknet-53 feature extraction network embedded in inception structure is designed, which effectively reduces the loss of features. Second, the detection network of YOLOv3 and the reuse of deep features in multiscale detection network are improved. Finally, the numbers and sizes of anchor boxes are selected by K-means clustering analysis, and the detection model is obtained by means of multiscale training. The improved algorithm has a mean average precision of 0.835 on the PASCAL VOC data set and a detection speed of 35.8 f / s, which is better than YOLOv3.

Pascal (unit)

Feature (linguistics)

10.1117/1.jei.28.5.053022

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Citations (22)