Novel watermarking based on DIBR 3D image by Chen CUI, Shen WANG, Qiong LI

“…Depth-image-based rendering (DIBR) has become an important technology in 3D displaying with its great advantages.As a result,more and more 3D products copyright problems turn out.Since either the center view with depth image or the synthesized virtual views could be illegally distributed,not only the center views but also the synthesized virtual views need to be protected.A watermarking method for DIBR 3D images was proposed.After applying three-level DWT to the center image,odd-even quantization was utilized to modify the coefficients of the sub-blocks of the center image,by this way the proposed method was made robust to typical signal distortions,such as JPEG compression,noise addition and median filter.As the experimental results shown,the proposed method is much more robust to the common signal distortion attacks with lower BER (bit error rate) compared with existing methods.…”
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Malaria Disease Prediction Based on Convolutional Neural Networks by Dhrgam AL Kafaf, Noor N. Thamir, Samara S. AL-Hadithy

“…By harnessing their unique architecture and regularization techniques, CNNs have the capability to enhance the results and potentially bring about better outcomes in areas with prevalent cases of malaria. …”
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Malicious DNS traffic detection based neural networks by SHAN Kangkang, YUAN Shuhong, CHEN Wenzhi, WANG Zhibo

“…Then, convolutional neural network was used to classify the processed frequency domain sequence data. The experimental results show that compared with several mainstream detection methods, FDS-DL has a higher accuracy in identifying malicious DNS traffic and F1_score is optimal.…”
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Research on multiflow in wireless networks based on network coding by Jin-yi ZHOU, Shu-tao XIA, Yong JIANG, Hai-tao ZHENG

“…In a multihop wireless network,wireless interference is crucial to the multi-commodity flow problem,which studies the maximum throughput between multiple pairs of sources and sinks.Based on the observation that network coding (NC) could help to decrease the impacts of wireless interference,a framework was proposed to solve the problem for multihop wireless networks with NC.By introducing hyperarcs to model all possible (uncoded or encoded) transmissions and using the conflict graph of hyperarcs to describe the new conflict relations modified by NC (e.g.…”
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Detecting DNS-based covert channel on live traffic by Si-yu ZHANG, Fu-tai1 ZOU, Lu-hua WANG, Ming CHEN

“…To propose an effective detection method for DNS-based covert channel,traffic characteristics were thor-oughly studied.12 features were extracted from DNS packets to distinguish covert channels from legitimate DNS queries.Statistical characteristics of these features are used as input of the machine learning classifier.Experimental results show that the decision tree model detects all 22 covert channels used in training,and is capable of detecting untrained covert channels.Several DNS tunnels were detected during the evaluation on campus network's live DNS traffic.…”
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Research on Flood Forecasting Based on Double-excess Model by HU Xinwei, ZHANG Yu, ZHU Xueping, ZHAO Xuehua

“…In order to conduct the flood forecasting research of small watershed in the control basin of Lengkou hydrological station,this paper firstly process the digital elevation model (DEM) of the study area;calculates the area weight of the sub-basin by Thiessen polygon method,the runoff yield by the double-excess flow model,the overland flow through the Nash instantaneous unit line method and the flood in river course by SWAI₁,and establishes the double-excess flood forecasting model;analyzes the sensitivity of model parameters with LH-OAT method;and calibrates and verifies the model parameters for 25 historical floods with different flood levels.The simulation results reach grade B forecast precision in the period of calibration and verification,so the simulation effect is good.The research results can provide reliable reference for hydrological forecast,flood control and disaster reduction,and enrich the research experience of flood forecasting in semi-arid and semi-humid areas.…”
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Knowledge as the basis for forming the innovative potential of the organization staff by I. N. Ivanov, L. V. Orlova

“…The article is devoted to the development of innovative potential of the personnel based on knowledge management. The controversy surrounding the concept of innovative potential is highlighted. …”
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Anonymous whistleblowers reply scheme based on secret sharing by HE Kun, HUANG Yajing, DU Ruiying, SHI Min, LI Siqin, CHEN Jing

“…The security analysis showed that the proposed scheme enabled the anonymity of both data receivers and whistleblowers at the same time. …”
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Symbolic execution optimization method based on input constraint by Sunlyu WANG, Yuqi LIN, Qiusong YANG, Mingshu LI

“…To solve path explosion,low rate of new path’s finding in the software testing,a new vulnerability discovering architecture based on input constraint symbolic execution (ICBSE) was proposed.ICBSE analyzed program source code to extract three types of constraints automatically.ICBSE then used these input constraints to guide symbolic execution to focus on core functions.Through implemented this architecture in KLEE,and evaluated it on seven programs from five GNU software suites,such as coreutils,binutils,grep,patch and diff.ICBSE detected seven previously unknown bugs (KLEE found three of the seven).In addition,ICBSE increases instruction line coverage/branch coverage by about 20%,and decreases time for finding bugs by about 15%.…”
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Precoding algorithm based on IQ imbalance in massive MIMO by Jun WANG, Jianxin DAI, Chonghu CHENG, Peng WANG, Sha LI

“…Massive multiple-input multiple-output（MIMO）refers to the idea equipping cellular base stations with a very large number of antennas，and is a communication way of severing several users. …”
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Spatial epidemiology based on the analysis of COVID-19 in Africa by Joyce Akhalakwa Mukolwe, John Kamwele Mutinda, Amos Kipkorir Langat

“…The COVID-19 pandemic has posed significant challenges to global public health, with varying impacts across different regions. …”
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Model of Strategic Disinformation Reconstruction Based on Analysis of Intentions by Bohdan Yuskiv, Nataliia Karpchuk, Serhii Fedoniuk

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Automatic Recognition and Detection System Based on Machine Vision by Lu Wang, Lihong Cui

“…In order to realize the automation of part identification and detection and the intellectualization of part production, this paper proposes a method of automatic identification and detection of parts based on machine vision (overall method). This paper combines machine vision with motion control theory and uses pulse coupled neural network (PCNN) edge detection and recognition algorithms to preliminarily design a set of machine vision automatic recognition and detection systems and carry out detection and recognition experiments on small parts such as relay covers. …”
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RETRACTED: Local hemostatic biomaterial based on native collagen by Radjabov O.I., Otajonov A.Y., Baratov K.R., Azimova L.B.

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Bearing Feature Extraction Method Based on the Time Subsequence by Wang Dexue, Nie Fei, Zheng Zhifei, Yu Yongsheng

“…Although pure time-domain features have the advantages of fast extraction speed and clear physical meaning, the diagnostic accuracy is slightly inferior to other methods. …”
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Study on Data Modeling and Collection in OSS Based on Hadoop by Lei Lei, Jingwen Li, Dapeng Gong, Rui Wang, Lei Su, Ningjiang Chen

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A Framework for an IP-Based DVB Transmission Network by Nimbe L. Ewald-Arostegui, Gorry Fairhurst, Ana Yun-Garcia

“…This challenge will need to be faced if broadcast transmission networks are to converge with IP infrastructure. The 2nd generation of DVB standards supports the Generic Stream, allowing the direct transmission of IP-based content using the Generic Stream Encapsulation (GSE), in addition to the native Transport Stream (TS). …”
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Neural-field-based image reconstruction for bioluminescence tomography by Xuanxuan Zhang, Xu Cao, Jiulou Zhang, Lin Zhang, Guanglei Zhang

“…Deep learning (DL)-based image reconstruction methods have garnered increasing interest in the last few years. …”
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Research of worm-propagation prediction based on stochastic experiment by LIU Ting1, ZHENG Qin-hua1, GUAN Xiao-hong1, QU Yu1, WANG Na1

“…The prediction of the worm propagation is the basis of the worm defense.It is becoming more difficult to model the propagation of worms in the early stage of worm-spreading,because the worm strategies are smarter and the Internet structure is more complicated than ever before.In present study,a stochastic simulator was designed to simulate the propagation of worms.From the analysis of 1000 groups of experiment results,it was proved that the worm-propagation is a stochastic process,and the correlation coefficient between each group of results is close to 1.Therefore,a new prediction method was proposed,which could accurately calculate the propagation of worm when 0.1% of all vulnerable hosts were infected.…”
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Deployment scheme of RSU based on connection time in VANET by Zhengchao DING, Zhenchun WEI, Lin FENG

“…For the roadside unit (RSU) placement problem in vehicular Ad Hoc network (VANET),the deployment scheme of RSU based on connection time was proposed.The scheme find the optimal positions of RSU for maximizing the number of vehicles while ensuring a certain level of connection time under the limited number of RSU.The problem was modeled as a maximum coverage problem,and a binary particle swarm algorithm was designed to solve it.The simulation experiment was carried out with the real Beijing road network map and taxi GPS data.The simulation results show that the algorithm is convergent,stable and feasible.Compared with the greedy algorithm,the proposed scheme can provide continuous network service for more vehicles.…”
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