Research on Simulation System for Human-SRL Collaborative Motion Planning by Xiaobo Zhang, Jinguo Liu, Yangmin Li

“…The construction methods of these three skeleton models are described. (2) For the remaining functions, how to collect and process human data, SRL data, human-SRL data, and how to visualize a human-SRL skeleton are described. Finally, the visualization effect of the developed simulation system on human-SRL skeleton movement is verified by experiments, which proves the correctness of the functions in the simulation system.…”
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Polarimetric image recovery method with domain-adversarial learning for underwater imaging by Fei Tian, Jiuming Xue, Zhedong Shi, Hongling Luo, Wanyuan Cai, Wei Tao

“…Comparison experiments demonstrate that our method is state-of-the-art in terms of visual effect and value metrics and that it has a strong recovery ability in the source and unseen domains, including in water with high turbidity. …”
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Rain removal method for single image of dual-branch joint network based on sparse transformer by Fangfang Qin, Zongpu Jia, Xiaoyan Pang, Shan Zhao

“…Experimental validation on synthetic and real datasets demonstrates that rain removal images exhibit richer detail information, significantly improving the overall visual effect.…”
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Research on a Surface Roughness Measurement Under ResNet-Based Roughness Classification and Light-Section With Seam-Driven Image Stitching (RCLS) by Huashen Guan, Qiushen Cai, Xiaobin Li, Guofu Sun

“…First, the images were classified with ResNet neural network, then stitched and enhanced by scale invariant feature transform (SIFT) and optimized random sample consensus (RANSAC) algorithm for the best visual effect. After this, images were processed by Nobuyuki Otsu method and Freeman chain code tracking algorithm. …”
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Impact of Tunnel Groups on Pupil Diameter of Drivers on Mountainous Freeway in China: A Real-World Driving Study by Jianping Gao, Sijie Zhang, Yunyong He, Qi Zhang, Lu Sun, Chang Lu, Yi Wu, Enhuai He, Changfeng Yang

“…Thereafter, a tunnel group definition standard based on the visual effect of drivers was developed. A six-zone approach was devised for the analysis of tunnel groups, and the result revealed that the different zones in the tunnel group have different impact on PPDV of drivers. …”
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Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

“…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
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Study on the Influence of LED Spectrum on the Visual and Nonvisual Effects in the Interior Zone of Tunnels by Li-Li Dong, Peng Liu, Qi Lou, Wen-Hai Xu

“…The results show that, in theory, under mesopic vision category, the spectrum with high correlation color temperature (CCT) and high color rendering index (CRI) has higher blue light content Z-value and has greater impact on human nonvisual effects and blue light radiation damage, but it can also provide higher human perception luminance. The visual effect detection experiment of driving in the interior zones of the tunnel is simulated in the laboratory, and the critical flicker frequency and reaction time are taken as physiological indexes. …”
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Otsu’s Image Segmentation Algorithm with Memory-Based Fruit Fly Optimization Algorithm by Ruishuai Chai

“…The advantages of the two interpolation methods proposed in this paper are that one is the edge grayscale image interpolation algorithm using OTSU threshold adaptive segmentation and the other is the edge grayscale image interpolation algorithm using local adaptive threshold segmentation, which can accurately divide the grayscale image region according to the characteristics of different grayscale images and effectively improve the loss of grayscale image edge detail information and jagged blur caused by the classical interpolation algorithm. The visual effect of grayscale images is enhanced by selecting grayscale images from the standard grayscale image test set and interpolating them with bilinear interpolation, bucolic interpolation, NEDI interpolation, and FEOI interpolation for interpolation simulation validation. …”
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Retracted: Martial Arts Routine Difficulty Action Technology VR Image Target Real-Time Extraction Simulation by Nannan Sun, Ruiyang Sun, Shihong Li, Xiaolong Wu

“…This includes image enhancement and image filtering, and uses median filtering methods to enhance the characteristics of the collected images. In this way, the visual effect of the original image can be improved, and the processed image will contribute to the subsequent segmentation. …”
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LDAViewer: An Automatic Language-Agnostic System for Discovering State-of-the-Art Topics in Research Using Topic Modeling, Bidirectional Encoder Representations From Transformers,... by Timothy Dillan, Dhomas Hatta Fudholi

“…Survey results also indicated that the generated topics are consistent with the processed article content and relevant to the investigated topic. The visualization effectively aids in understanding the state-of-the-art and research map. …”
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Impact of Tiktok Live Stream Attributes on Social Presence and Behavioral Intention Among Surabaya Users by Made Nibbana Ganesha Putra Artha, Timotius FCW Sutrisno

“…Findings/Result: The results of the study stated that sociability has a positive significant effect on social presence, while information task fit and visual effect do not have a significant effect on social presence. …”
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Using DIMet for Differential Analysis of Labeled Metabolomics Data: A Step-by-step Guide Showcasing the Glioblastoma Metabolism by Johanna Galvis, Joris Guyon, Thomas Daubon, Macha Nikolski

“…Its pathway-based "metabologram" visualizations effectively integrate metabolomics and transcriptomics data, offering a versatile platform capable of analyzing corrected tracer datasets across diverse systems, organisms, and isotopes. …”
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Application of Video Processing Technology Based on Diffusion Equation Model in Basketball Analysis by Yafeng Feng, Xianguo Liu

“…This paper proposes an anisotropic diffusion method based on visual characteristics, which adds a factor of video image detail while smoothing, and improves the visual effect of diffusion. This article discusses how to apply anisotropic diffusion methods and ideas to video image segmentation. …”
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Application of Enhanced Weighted Least Squares with Dark Background Image Fusion for Inhomogeneity Noise Removal in Brain Tumor Hyperspectral Images by Jiayue Yan, Chenglong Tao, Yuan Wang, Jian Du, Meijie Qi, Zhoufeng Zhang, Bingliang Hu

“…The image processed by this method has almost no residual non-uniform noise, the image is clear, and the best visual effect is achieved. It can be concluded that different denoising methods designed for different noises have better denoising effects on hyperspectral images. …”
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Correlation between Speeches of the President of Lithuania and the National Day Celebrations in the period 1920-1938: influential Communication by Vita Ulytė-Grigelevičienė

“…Celebrations of the National Day manifest a sort of a "warming up" moment of impact based on the elements of visual effect, which enhanced positive spirits among the public and in turn strengthened the effect of the President's speeches, thus enabling them to achieve the intended purposes. …”
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Human motion capture data recovery based on non-convex low-rank priors of temporal difference(非凸时序差分低秩约束的人体运动捕获数据恢复算法) by 胡文玉(HU Wenyu), 彭绍婷(PENG Shaoting), 郭震宇(GUO Zhenyu), 黄慧英(HUANG Huiying)

“…Both of the recovery error and visual effect show that our NTDLR has better recovery performance.…”
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Bibliometric analysis of laryngeal cancer treatment literature (2003–2023) by Yan Zhao, Jiancheng Xue

“…Overall, the two tools differ in terms of functionality, data sources, visualization effects, and operational complexity, offering researchers complementary options for bibliometric analysis based on their specific needs.) …”
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