INFORMATION AND SOFTWARE OF VIRTUAL REALITY TRAINING APPLICATION «NATURAL GAS DRYER PLANT» by D. A. Kuzmuk, O. A. Shovkoplias, B. O. Kuzikov

“…All scenarios involve visual effects to increase immersion. A multi-user mode and voice chat functionality have also been implemented to facilitate collaborative learning. …”
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Data-Driven Synchronization Analysis of a Bouncing Crowd by Jun Chen, Huan Tan, Katrien Van Nimmen, Peter Van den Broeck

“…Moreover, special test cases were performed whereby each participant was wearing an eyepatch to exclude visual effects. Through the analysis of 330 test cases, the interperson variability at the bouncing frequency is identified. …”
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Possibilities of using immersive learning based on abstract highly formalized mathematical models for training future mathematics teachers by Valentina A. Matveeva, Olga Yu. Zaslavskaya

“…Thus, the technology under consideration can be called ‘weak immersive learning’, since visual effects and creation of a computer model require the direct participation of the student and theoretical knowledge of the subject.…”
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A dehazing and enhancement algorithm for heterogeneous images of underground mining environments in coal mines by Xuhui ZHANG, Yanbin XIE, Wenjuan YANG, Chao ZHANG, Jicheng WAN, Zheng DONG, Yanqun WANG, Jie JIANG, Long LI

“…The results indicate that compared to the above novel and excellent algorithms in terms of their optimal indicators, the proposed algorithm exhibited that: (1) The average gradients were approximately twice those obtained by CEEF, suggesting elevated image clarity. (2) The average information entropy decreased by approximately 1% compared to that of MRP, implying more information preserved. (3) The standard deviation increased by approximately 6% on average compared to OSFD, representing improved image contrast. (4) The average fog aware density evaluator (FADE) value by approximately 23% compared to CEEF, implying an effective reduction in the haze Therefore, the proposed algorithm can effectively improve the visual effects and quality of blurred images of underground mining environments in coal mines, exhibiting high utility in engineering.…”
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Research and Realization of Interpolation for Real-time TV Picture Motion Detection by 李舒, 张家谋

“…The method discussed in this paper gets good visual effect.…”
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A Novel Speckle Noise Removal Algorithm Based on ADMM and Energy Minimization Method by Bo Chen, Yan Lv, Jinbin Zou, Wensheng Chen, Binbin Pan

“…Numerical results show that the new algorithm can reduce the step effect effectively obtain good results in visual effect and quantitative measures by comparing with some traditional models.…”
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Data hiding method based on color table expansion technique by FEI Ru-chun1, WANG Li-na1, ZHANG Huan-guo1

“…Based on color table expansion technique for indexed images,a data hiding method was proposed,and the se-curity and the hiding capacity were analyzed.The analysis results show that this method has very strong security and very high hiding capacity.Secret data can be hidden in an indexed cover image to generate a stego-image with the same visual effect as the cover image and resumed without distortion from the stego-image if the correct key is used.In addition,the statistical feature of the secret data is completely covered up by using random data,so the stego-image is statistically in-dependent of the secret data.…”
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Piecewise histogram equalization based image enhancement by CHEN Wen-fei1, LIAO Bin2, XU Xue-feng3, HUANG Zhi-yong1, DONG Wen-yong1

“…Piecewise histogram equalization（Piecewise HE） was proposed,which combines the benefits of contrast stretching and existing histogram equalization.The swallow of saturation and brightness is avoided in the enhanced image by a piecewise linear mapping function,which combines with the mean and standard deviation of the histogram,and the parameters selection of Piecewise HE is explored when over-enhancement existed.The experimental results have demonstrated that the proposed method can enhance the images effectively,which avoids the swallow and over-enhancement problems of the existing histogram equalization methods.The proposed method not only preserves the original details,but also has a more natural visual effect in the enhanced image.…”
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Research on algorithm for raster map multi-level sharing based on region incrementing color visual cryptography by Liguo FANG, Zhengxin FU, Hao HU, Gang SHEN, Bin YU

“…In view of the characteristics of raster map,important data of the map were divided into different map layers by using the idea of map segmentation.A regional incremental color visual cryptographic scheme for raster map sharing was designed,and a model based on this scheme was proposed.At the same time,the specific application process was given.In order to solve the problem of large pixel expansibility and poor visual effect of image recovery in traditional regional incremental visual cryptography scheme,random numbers and the access structure optimization were used.Construction of the method was simple and the additional overhead of generating and saving the encryption matrix was avoided.The experimental results show that the scheme can achieve multilevel raster map sharing with the map’s perfect recovery,meanwhile the extension of the scheme pixel is greatly reduced.…”
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A wavelet threshold image denoising algorithm based on a new kind of sign function by Jinge CUI, Bingquan CHEN, Qing XU, Bo DENG

“…Based on the existing threshold denoising algorithm,a threshold denoising algorithm based on the new symbolic function was proposed.The new threshold function has advantages of continuous guidance,small deviation of wavelet coefficient,strong threshold adaptability and so on.It not only preserved the low-frequency wavelet coefficients,but also filtered the noise coefficients in the high-frequency coefficients effectively,so that the reconstructed image was closer to the original image.The simulation results of Bridge image,Lena image and B-mode Fetus image with Gaussian white noise show that the visual effect of both the new threshold function and the quantitative indicators PSNR and MSE are better than the existing threshold image denoising algorithm.The edge and detail information can be better protected,have no obvious oscillation,the image is smoother and even,and the method has good stubbornness under the background of complex noise.…”
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Application of New Media Big Data in Visual Performance of Axonometric Illustration by Jia Zhou

“…It can not only effectively improve the visual effect of axonometric illustration by 12.3% but also solve the problems and challenges faced by the current China’s axonometric illustration industry.…”
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Speckle Noise Removal by Energy Models with New Regularization Setting by Bo Chen, Jinbin Zou, Weiqiang Zhang

“…Numerical experimental results show that our proposed LOGTV model for speckle noise removal is superior to traditional models, not only in visual effect but also in quantitative measures.…”
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Incoherent dictionary learning and sparse representation for single-image rain removal by Hong-zhong TANG, Xiang WANG, Xiao-gang ZHANG, Xiao LI, Li-zhen MAO

“…The incoherent dictionary learning and sparse representation algorithm was present and it was applied to single-image rain removal.The incoherence of the dictionary was introduced to design a new objective function in the dictionary learning,which addressed the problem of reducing the similarity between rain atoms and non-rain atoms.The divisibility of rain dictionary and non-rain dictionary could be ensured.Furthermore,the learned dictionary had similar properties to the tight frame and approximates the equiangular tight frame.The high frequency in the rain image could be decomposed into a rain component and a non-rain component by performing sparse coding based learned incoherent dictionary,then the non-rain component in the high frequency and the low frequency were fused to remove rain.Experimental results demonstrate that the learned incoherent dictionary has better performance of sparse representation.The recovered rain-free image has less residual rain,and preserves effectively the edges and details.So the visual effect of recovered image is more sharpness and natural.…”
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Digital Twin BIM Management System of Storage Tanks Based on BIM and UE4 by ZENG Qingda, HU Ting, WANG Huang, WANG Yuanyuan, QIN Jing

“…In order to improve the digitalization and smart water operation and maintenance management of storage tanks,and to achieve the digital and intelligent control,scheduling and management of storage tanks,taking the largest storage tank at the end of Longgang River in Shenzhen as the research object,based on the BIM model with full-professional collaborative forward design,this paper develops the digital twin BIM management system by the BIM software based on the Autodesk platform and the advanced game engine Unreal engine in current industry,with high-fidelity rendering capabilities,close-to-real visualization effects,BIM+GIS available and real-time reading,and interactive communication of various sensor information in the storage tank through secondary development for improving the the real-time interaction and intelligent control of equipment,and based on this,develops functional modules such as rainfall prediction,pedestrian and vehicle traffic,equipment management,and operation management to successfully extend the BIM technology to the operation and maintenance management stage of the storage tank,and give full play to the greater role of BIM,which provide reference for future smart operation and maintenance projects.…”
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An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation by Lei He, Yan Xing, Kangxiong Xia, Jieqing Tan

“…The experimental results showed that the proposed algorithm had better visual effect and higher Peak Signal to Noise Ratio compared with the state-of-the-art methods.…”
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Surface gloss properties of walnut tannin applied wood species by Mehmet Yaşar, Ahmet Cihangir Yalınkılıç, Alaaddin Uzun, Şadiye Yaşar

“…For this purpose, walnut tannin was applied to the surfaces of Scots pine and walnut wood through the use of a brush, and then water-based and polyurethane varnishes were applied. To assess the visual effect of tannin application, the surface gloss of the wood samples was measured. …”
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Lightweight face image restoration algorithm based on multi-scale feature fusion by ZHAO Xiao, ZHAO Ziyi, YANG Chen

“…The experimental results of comparing the model with the other models show that the model has better image quality and visual effect for restoration of the face in the presence of occlusion.…”
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Melanopsin Contribution to Pupillary Light Reflex and Brightness Perception Based on a 65-Inch Four-Primary Projected Display by Nianfang Zhu, Yan Tu, Lili Wang, Yunyang Shi

“…Melanopsin contribution to visual and non-visual effect has drawn widespread concern. However, research about whether this contribution can be applied to display system design is limited. …”
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An Improved Particle Swarm Optimization-Powered Adaptive Classification and Migration Visualization for Music Style by Xiahan Liu

“…Combining traditional music visualization and image style transfer adds specific content expression to music visualization and time sequence expression to image style transfer. This visual effect can help users generate unique and personalized portraits with music; it can also be widely used by artists to express the relationship between music and vision. …”
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RESEARCH ON GEAR BOX FAULT DIAGNOSIS BASED ON DCNN AND XGBOOST ALGORITHM by ZHANG RongTao, CHEN ZhiGao, LI BinBin, JIAO Bin

“…The DCNN feature matrix and the artificial feature matrix were analyzed by t-SNE visualization algorithm,the results show that the visualization effect of DCNN feature matrix obtained is better than that of artificial feature matrix; Compared with XGBoost,the stability of Random Forest is not as good as that of XGBoost algorithm; Compared with BP neural network, XGBoost algorithm has some advantages in preventing over-fitting; The combination of SVM and DCNN has some limitations. …”
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