Hengzhi Zhang

ORCID: 0000-0001-8056-417X
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About
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Research Areas
  • Advanced Vision and Imaging
  • Chaos-based Image/Signal Encryption
  • DNA and Biological Computing
  • Thermal Analysis in Power Transmission
  • Advanced MIMO Systems Optimization
  • Aerosol Filtration and Electrostatic Precipitation
  • Power Line Communications and Noise
  • Advanced Image Processing Techniques
  • Software-Defined Networks and 5G
  • Seismic Imaging and Inversion Techniques
  • Image Enhancement Techniques
  • 3D Surveying and Cultural Heritage
  • IoT-based Smart Home Systems
  • Cellular Automata and Applications
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • Cryptographic Implementations and Security
  • Geological Modeling and Analysis
  • Energy Harvesting in Wireless Networks
  • Advanced Wireless Communication Techniques
  • Wireless Sensor Networks and IoT
  • High voltage insulation and dielectric phenomena
  • Millimeter-Wave Propagation and Modeling
  • Geoscience and Mining Technology
  • Remote Sensing and LiDAR Applications

City Institute, Dalian University of Technology
2017-2018

Dalian University of Technology
2017-2018

Beijing University of Posts and Telecommunications
2010-2014

Future mobile wireless communication networks will be featured as heterogeneity in order to enhance network performance and improve user experience. For better adaption challenges over its complexity vulnerability, cell outage detection technique, a promising intelligent part of self-organizing (SON), has drawn considerable attention deal with unexpected faults. Our work is devoted two-tier macro-pico network. Based on observation metrics time domain, we employ classification algorithm...

10.1109/wcnc.2014.6952896 article EN 2022 IEEE Wireless Communications and Networking Conference (WCNC) 2014-04-01

Heterogeneous networks (HetNets) can increase network capacity through complementing the macro-base-station with low-power nodes, in response to ongoing exponential growth data traffic demand. While, unprecedented challenges exist planning, optimization, and maintenance HetNets, especially activities such as cell outage detection mitigation are labor-intensive costly. One potential solution address these issues is introduce extensively attracted self-organizing (SON). This paper mainly...

10.1155/2014/624858 article EN cc-by International Journal of Antennas and Propagation 2014-01-01

Panoramic images captured by the fisheye lens cameras cover very wide field of view (FoV) ranging from 180° to 360°, but image quality is low compared that high-end such as DSLR or compact with APS-C full frame sensors. In this paper, we aim use deep neural network (DNN) based methods improve panoramic quality. Specifically, enhance 5K resolution (5376×2688) camera at same resolution, which good for applications requires limited resources, low-cost high We build a Panoramic-High-end dataset...

10.1109/cvprw50498.2020.00322 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2020-06-01

To improve the security performance of color images encrypted, a new image encryption algorithm based on DNA computation and Chen system is proposed. In proposed algorithm, chaotic sequences generated by are applied to permutation confusion phase encryption. And mean value pixel each component used as part initial conditions system, which makes that different original have secret keys. Besides, operations can break bit planes plaintext entirely. Simulation results show suitable for...

10.1088/1742-6596/1074/1/012096 article EN Journal of Physics Conference Series 2018-09-01

Recent 3D room layout recovery approaches mostly concentrate on Manhattan layouts, where the vertical walls are orthogonal with respect to each other, even though there many rooms non-Manhattan layouts in real world. This paper presents a method generalizing across and worlds. Without introducing additional supervision, we extend current methods by predicting an extra surface normal feature, which is further used for adaptive post-processing reconstruct of arbitrary shapes. Experimental...

10.1109/cvprw56347.2022.00567 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2022-06-01

Abstract The audible noise (AN) of HVDC transmission lines, as an external manifestation the corona discharge, intensifies with increase altitude. In high‐altitude area, AN has been a key factor in determining type conductors for lines. order to study characteristics current and lines at high‐altitude, we erected test line altitude 4300 m, carried out tests under different voltages. Through test, basic data were obtained. Based on curve, inception electric field strength conductor was...

10.1049/gtd2.12832 article EN cc-by IET Generation Transmission & Distribution 2023-03-30

We introduce PanoPoint, the joint feature point detection and description applied to nonlinear distortions multi-view geometry problems between 360° panoramas. Our fully convolutional model operates directly in panoramas computes pixel-level locations associated descriptors a single forward pass rather than performing image preprocessing (e.g. panorama Cubemap) followed by description. To train PanoPoint model, we propose PanoMotion, which simulates representation different viewpoints...

10.1109/cvprw59228.2023.00686 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023-06-01

The audible noise (AN) of HVDC transmission line at high altitude area is the key factor to determine conductor type. However, research on AN unipolar lines relatively lacking present. In this paper, three DC test with an 1700 m – 4300 were used carry out tests under different surface electric field strengths, and influence A-weighted sound level spectral characteristics obtained. results show that, presents a nonlinear trend change. When strength larger, law more obvious. addition,...

10.1109/ceepe58418.2023.10166979 article EN 2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE) 2023-05-12

<abstract> <b><sc>Abstract.</sc></b> Facilities agriculture is to meet the growth needs of agricultural production. It created artificially for a suitable and efficient environment. In this paper, sensors different environmental factors carry out research its working principle using characteristics was analyzed. proposed device monitor facilities environment based on Arduino platform. This deceive consist Mega 2560 controller, expansion board, display unit, data storage communication power...

10.13031/aim.201700938 article EN 2017 Spokane, Washington July 16 - July 19, 2017 2017-01-01
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