Triqubit-state Measurement-based Image Edge Detection Algorithm

Zhonghua Wang,Faliang Huang 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.6

Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing thepseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used torepresent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, theimproved partial differential method is used to smooth the defect image. Secondly, the triqubit-state ischaracterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast toachieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image isoutputted according to the quantum measurement, local gradient maximization and neighborhood chaincode searching. Compared with other methods, the simulation experiments indicate that our algorithm hasless pseudo edges and higher edge detection accuracy.

A New Image Enhancement Algorithm Based on Bidirectional Diffusion

Zhonghua Wang,Xiaoming Huang,Faliang Huang 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.1

To solve the edge ringing or block effect caused by the partial differential diffusion in image enhancementdomain, a new image enhancement algorithm based on bidirectional diffusion, which smooths the flat regionor isolated noise region and sharpens the edge region in different types of defect images on aviation composites,is presented. Taking the image pixel’s neighborhood intensity and spatial characteristics as the attributedescriptor, the presented bidirectional diffusion model adaptively chooses different diffusion criteria indifferent defect image regions, which are elaborated are as follows. The forward diffusion is adopted to denoisealong the pixel’s gradient direction and edge direction in the pixel’s smoothing area while the backwarddiffusion is used to sharpen along the pixel’s gradient direction and the forward diffusion is used to smoothalong the pixel’s edge direction in the pixel’s edge region. The comparison experiments were implemented inthe delamination, inclusion, channel, shrinkage, blowhole and crack defect images, and the comparison resultsindicate that our algorithm not only preserves the image feature better but also improves the image contrastmore obviously.

Triqubit-State Measurement-Based Image Edge Detection Algorithm

Wang, Zhonghua,Huang, Faliang Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.6

Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing the pseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used to represent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, the improved partial differential method is used to smooth the defect image. Secondly, the triqubit-state is characterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast to achieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image is outputted according to the quantum measurement, local gradient maximization and neighborhood chain code searching. Compared with other methods, the simulation experiments indicate that our algorithm has less pseudo edges and higher edge detection accuracy.

Mapping the Mangrove Forest Restoration Potential and Conservation Gaps in China Based on Random Forest Model

Zhonghua Yu,Wei Li,Shaowei Zhang,Buqing Zhong,Jun Wang,이시영,최재혁,Shulin Deng 인간식물환경학회 2022 인간식물환경학회지 Vol.25 No.4

Background and objective: The area of mangroves is gradually decreasing globally, and mangroves are already one of the most threatened ecosystems. Despite net growth in the mangrove areas in China, the restoration potential of mangroves is still insufficient. This study proposed the Random forest model as an excellent data mining method to map the restoration potential based on the predicted probability of mangrove habitat suitability. Methods: We demonstrated the vital environmental variables influencing habitat suitability. The de-cisive advantages of RFM were parsimonious (variables selection), cost-effective (us-ing existing open-source data), accurate (training AUC was 0.89, testing AUC was 0.91), highly efficient (fast-training speed); and its results had high explanatory power. Here, we first mapped the conservation gaps using the RFM. Results: The results showed that temperature was the most important environmental factor influencing the habitat suit-ability of mangroves. The northern limit of suitable areas was around 24°44' N. The theoretical suitable habitat area for mangrove was 196,566.6 ha (the highly suitable area was 32,551.4 ha, the medium suitable area was 164,015.2 ha). The potential area for mangrove restoration was 176,264 ha (Guangdong with 104215.4 ha, Guangxi with 65957.5 ha). Conclusion: We proposed 24 sites with conservation gaps for mangrove forests restoration and nine potential sites as examples for the further restoration plan. We took one example site with high restoration potential for further explanation: how the key environmental factors influence the habitat suitability and how to use the infor-mation to guide the restoration strategies. RFM can be used as a data mining algo-rithm for the utmost use of the presence-only ecological data, objectively evaluating the suitability of species distribution, and providing scientifically technical data for species restoration planning.

Filter Contribution Recycle: Boosting Model Pruning with Small Norm Filters

Zehong Chen,Zhonghua Xie,Zhen Wang,Tao Xu,Zhengrui Zhang 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.11

Model pruning methods have attracted huge attention owing to the increasing demand of deploying models on low-resource devices recently. Most existing methods use the weight norm of filters to represent their importance, and discard the ones with small value directly to achieve the pruning target, which ignores the contribution of the small norm filters. This is not only results in filter contribution waste, but also gives comparable performance to training with the random initialized weights [1]. In this paper, we point out that the small norm filters can harm the performance of the pruned model greatly, if they are discarded directly. Therefore, we propose a novel filter contribution recycle (FCR) method for structured model pruning to resolve the fore-mentioned problem. FCR collects and reassembles contribution from the small norm filters to obtain a mixed contribution collector, and then assigns the reassembled contribution to other filters with higher probability to be preserved. To achieve the target FLOPs, FCR also adopts a weight decay strategy for the small norm filters. To explore the effectiveness of our approach, extensive experiments are conducted on ImageNet2012 and CIFAR-10 datasets, and superior results are reported when comparing with other methods under the same or even more FLOPs reduction. In addition, our method is flexible to be combined with other different pruning criterions.

Coupling of the 2D microtopography of tooth surface and transmission error

Changjiang Zhou,Zhonghua Wang,Siyu Chen 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.2

This paper provides a method coupling the 2D microtopography filtered by ISO Gaussian filter of spur gears, which is typically used in power transmission devices, and Transmission error (TE) together. A gearbox with certain transmission ratio is selected as a research object for analysis. This gearbox comprises a mathematical model of TE calculation based on the Monte Carlo method and the coordinate transformation method, which couples the 2D microtopography of spur gears and TE. Two TE models are established to study their effects on the coupling results: a) The single TE model, which means only one gear owns TE, and b) the synthetic TE model, which means both gears possess TE. The new model of the 2D microtopography of tooth surfaces can be utilized further to investigate the mechanism of engagement and the approximate contact position of asperities on the tooth surface. The new model is also significant in studying the tooth root bending stress.

Effects of the friction coefficient on the torque characteristics of a hydraulic cam-rotor vane motor

Qiankun Ma,Xuyong Wang,Fan Yuan,Liangshen Chen,Jianfeng Tao,Zhonghua Miao 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.8

The friction coefficient between the vane and the slot is one of the most critical factors that affects the performance of a continuous rotary hydraulic cam-rotor vane motor. To study the effects of this coefficient on the torque characteristics of the motor, the mathematical model for the normal force and the disturbing torque between the cam rotors and the vanes of the motor was established by analyzing the forces exerted on the vanes. The mathematical model was simulated with MATLAB, and simulation results show that an increase in the friction coefficient would simultaneously decrease the normal force and increase the disturbing torque, which would negatively affect the performance of the motor. Further experimental research indicated that the low-speed performance of the hydraulic cam-rotor motor was significantly improved when the friction coefficient was reduced by controlling the parallelism tolerance, flatness and roughness between the vanes and the slots.

Backward Orientation Tracking Control of Mobile Robot with N Trailers

Jin Cheng,Bin Wang,Yong Zhang,Zhonghua Wang 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.2

A feedback control law for orientation tracking problem of a mobile robot with N on-axle trailers isproposed in this paper. Based on a recursive designing process, the orientation tracking problem is converted intostabilizing the including angles on the designed reference value. The designing process of the control law is simpleand can be easily extended to any given N trailers system. With input-to-state stability on cascade form system, theclosed-loop system is proven to be asymptotically stable. Simulation experiment on a mobile robot with 4 trailersis implemented and the results demonstrate that the proposed control law works successfully.

Development of Heat Flow Analysis Model of Sterling Engine

YeChan Noh(노예찬),Zhonghua Wang(왕중화),BoHung Kim(김보흥) 한국소음진동공학회 2016 한국소음진동공학회 학술대회논문집 Vol.2016 No.10

Real-World Data of Pyrotinib-Based Therapy in Metastatic HER2-Positive Breast Cancer: Promising Efficacy in Lapatinib-Treated Patients and in Brain Metastasis

Ying Lin,Mingxi Lin,Jian Zhang,Biyun Wang,Zhonghua Tao,Yiqun Du,Sheng Zhang,Jun Cao,Leiping Wang,Xichun Hu 대한암학회 2020 Cancer Research and Treatment Vol.52 No.4

Purpose Pyrotinib is a newly-developed irreversible pan-ErbB receptor tyrosine kinase inhibitor. This study reported the first real-world data of pyrotinib-based therapy in metastatic human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC), focusing on efficacy in lapatinib-treated patients and in brain metastasis. Materials and Methods One hundred thirteen patients with metastatic HER2-positive BC treated with pyrotinib-based therapy in Fudan University Shanghai Cancer Center under non-clinical trial settings from September 1, 2018 to March 1, 2019 were included. Results Over half patients have received more than two lines of systematic therapy and exposed to two or more kinds of anti-HER2 agents. Most patients received a combined therapy, commonly of pyrotinib plus capecitabine, or vinorelbine or trastuzumab. Median progression-free survival (PFS) was 6.3 months (range, 5.54 to 7.06 months) and objective response rate (ORR) was 29.5%, with two patients (1.9%) achieving complete response. Lapatinib-naïve patients had significantly longer PFS than lapatinib-treated patients (9.0 months vs. 5.4 months, p=0.001). ORR for lapatinib-treated patients was 23.2%. Thirty-one of 113 patients have brain metastasis. Median PFS was 6.7 months and intracranial ORR was 28%. For patients without concurrent radiotherapy and/or brain surgery, the ORR was very low (6.3%). But for patients receiving concurrent radiotherapy and/or brain surgery, the ORR was 66.7%, and three patients achieved complete response. Most common adverse event was diarrhea. Conclusion Pyrotinib-based therapy demonstrated promising effects in metastatic HER2-positive BC and showed activity in lapatinib-treated patients. For patients with brain metastasis, pyrotinib-based regimen without radiotherapy showed limited efficacy, but when combined with radiotherapy it showed promising intracranial control.