An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics by Bin ZHANG, Peng,YUANJie WU, Lingqing SUN, Qiming FU, Yongze ZHANG, Yu LU

“…Aiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly,the ultraviolet image information was decomposed to different scales and direction sub-bands by Curvelet transform.Secondly,the HVS model was established according to each sub-band,and with its masking characteristics,the nonlinear gain of the high frequency component was used to improve the image contrast.Meanwhile,the low frequency component of nonlinear grayscale stretching could improve the overall brightness of the image.Finally,the processed high and low frequency components were reconstructed by Curvelet backward to obtain enhanced ultraviolet images.The experimental results show that the enhanced image accords with the extraction of image information from human vision and highlights the contour information of edge and target.In addition,it has obvious effect in subjective vision and quantitative index.…”
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Multitarget Pedestrian Tracking Algorithm Based on a Contour Template with Multiscale Stability by Hui Liu, Yingying Feng, Shigan Yu

“…In order to overcome the problems of high error rate and poor tracking effect of traditional tracking algorithms, a multitarget pedestrian tracking algorithm based on a contour template is designed in this paper. …”
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RW-MC:self-adaptive random walk based matrix completion algorithm by Xin-heng WANG, Qian-yun WANG, Jia-jie WANG, Guo-feng ZHAO, Wen-qiang JIN

“…Concerning the continually perceiving performance of virtual access points (VAP) was urgent in software-defined wireless network (SDWN),with the features of VAPs’ measurement data (VMD),a self-adaptive matrix completion algorithm based on random walk was proposed,named RW-MC.Firstly,the discrete ratio and covering ratio of VMD account for a sample determination model was used to claim initial samples.Secondly,random walk model was implemented for generating sampling data points in the next iteration.Finally,a self-adaptive sampling redress model concerning the differences between the current error rates and normalize error rates of neighboring completion matrices.The experiments show that the approach can collect the real-time sensory data,meanwhile,maintain a relatively low error rate for a small sampling rate.…”
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Prediction model for spontaneous combustion temperature of coal based on PSO-XGBoost algorithm by Hui Zhuo, Tongren Li, Wei Lu, Qingsong Zhang, Lingyun Ji, Jinliang Li

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Mathematical Model and Algorithm for Accurate Main Content Extraction From News Websites by Hamza Salem, Hadi Salloum, Manuel Mazzara

“…We present a novel mathematical model and algorithm that leverages the Document Object Model (DOM) structure, effectively isolating relevant content with high accuracy. …”
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Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm by Deng Tao, Lin Chunsong, Li Ya’nan, Lu Renzhi

Subjects: “…Adaptive differential evolution algorithm…”
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Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSN by Qiaoqiao MA, Ligang DONG, Xian JIANG

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Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City by Liqun Zhang, Weibo Yang

“…In this paper, a new human resource scheduling algorithm is proposed based on the optimization simulation of the human resource scheduling algorithm to find the most suitable human resource allocation scheme for different regions. …”
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Using Improved Ant Colony Algorithm to Investigate EMU Circulation Scheduling Problem by Yu Zhou, Leishan Zhou, Yun Wang

“…In this paper, an EMU circulation scheduling model is built based on train diagram constraints, maintenance constraints, and so forth; in the model solving process, an improved ACA algorithm has been designed. A case study is conducted to verify the feasibility of the model. …”
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SSRFSC flipping decoding algorithm based on critical simplification set for polar codes by GUO Rui, LIU Yang, HE Meilin, LIU Zhaoting, ZHAO Yinan

“…To improve the decoding performance of the simplified sequence repetition node-based fast successive cancellation (SSRFSC) decoding algorithm, a decoding algorithm (CSS-SSR-Flip) based on critical simplified set (CSS) and simplified sequence repetition (SSR) nodes was designed. …”
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Identifying vital nodes algorithm in social networks fusing higher-order information by Guanghui YAN, Meng ZHANG, Hao LUO, Shikui LI, Ting LIU

“…Identifying vital nodes is a basic problem in complex network research.The existing theoretical framework,mainly considered from the lower-order structure of node-based and edge-based relations often ignores important factors such as interactivity and transitivity between multiple nodes.To identify vital nodes more accurately,the motif,the high-er-order structure of the network,was studied as the basic unit.Firstly,a notion of higher-order degree of nodes in a com-plex network was proposed.Then,the higher-order structure and lower-order structure of nodes were fused into evidence theory.A semi-local identifying vital nodes algorithm fusing higher-order information of nodes was designed.The results of experiments on three real social networks show that the proposed algorithm can identify vital nodes more accurately in the network than the existing methods which only focus on the low-order structure.…”
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Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data by Yangfan Tong, Wei Sun

“…Based on the rational construction of the index system, this paper studies the multimedia network public opinion evaluation and prediction algorithm. Existing network public opinion assessment and prediction algorithms have shortcomings in capturing the characteristics of data sequences and the long-term dependence of data sequences, and the problems of overfitting and gradient disappearance may occur during training. …”
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Progressive filling partitioning and mapping algorithm for Spark based on allocation fitness degree by Chen BIAN, Jiong1 YU, Wei-rong XIU, Bin LIAO, Chang-tian YING, Yu-rong QIAN

“…The job execution mechanism of Spark was analyzed,task efficiency model and Shuffle model were established,then allocation fitness degree (AFD) was defined and the optimization goal was put forward.On the basis of the model definition,the progressive filling partitioning and mapping algorithm (PFPM) was proposed.PFPM established the data distribution scheme adapting Reducers’ computing ability to decrease synchronous latency during Shuffle process and increase cluster the computing efficiency.The experiments demonstrate that PFPM could improve the rationality of workload distribution in Shuffle and optimize the execution efficiency of Spark.…”
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A new RS steganalysis algorithm of detecting UnderMP3Cover by Jian ZHANG, Rangding WANG, Diqun YAN

“…A new RS steganalysis algorithm to attack UnderMP3Cover was proposed.By analyzing the error caused by the RS algorithm,the choice of resolution function,the initial bias and the fitting method were modified,the flip operator was also selected in the experiment.Experimental results demonstrate that the proposed method can estimate the length of embedded message effectively and the average error reduces to 2%,which is better than the existing algorithms.…”
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Research on Recognition， Positioning and Grasping of Robotic Arms Based on an Improved ORB Algorithm by Li Xinyan, Zhou Min

Subjects: “…Improved ORB algorithm…”
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Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems by Ling Hu, Qiang Ni, Feng Yuan

“…In this paper, we propose a novel automatic background subtraction algorithm for urban surveillance systems in which the computer can automatically renew an image as the new background image when no object is detected. …”
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NLOS location enhancement algorithm based on depth-first multipath parameter estimation by Xiaofeng LU, Ye DONG, Yuejie LI

“…In order to improve the positioning accuracy of millimeter wave system with non-line-of-sight (NLOS) paths, a depth-first multipath parameter estimation algorithm was proposed based on distributed compressed sensing.According to the evaluated multipath parameters, NLOS path could be identified, so that the localization performance was enhanced.Firstly, depth-first algorithm was applied to reduce the unnecessary path searching, and the more accurate multipath parameters were obtained.Secondly, under the reverse positioning distance residual method, NLOS path recognition could be carried out.Then, the scatterers in the NLOS path were matched, and the position of which were regarded as virtual anchor nodes.Combining the information of base stations and virtual anchor nodes, positioning enhancement was realized.Finally, localization performance of the proposed algorithm was simulated, compared with the distance weighted least square (LS) and maximum discrimination transformation (MDT) algorithms, the performance of the proposed algorithm is improved by 17% and 8% respectively.…”
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Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks by Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

“…Therefore, this article mainly studies image recommendation algorithms based on deep neural networks in social networks. …”
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Resource allocation strategies for improved mayfly algorithm in cognitive heterogeneous cellular network by Damin ZHANG, Yi WANG, Chengcheng ZOU, Peiwen ZHAO, Linna ZHANG

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Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of Reservoirs by SUN Qiurong, LI Yong, TANG Qian, WU Shaofei

Subjects: “…multi-objective differential evolution algorithm…”
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