Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator by Yu-zhuo FANG, Zhi-yong XU, Zhao ZHAO

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Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model by Zhuang Xiong, Zhuang Xiong, Jun Ma, Bohang Chen, Haiming Lan, Yong Niu

Subjects: “…multi-source data fusion…”
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Time-Series Forecasting of PM_2.5 and PM₁₀ Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

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Situation awareness via Internet of things and in-network data processing by Johannes Ehala, Jaanus Kaugerand, Raido Pahtma, Sergei Astapov, Andri Riid, Timo Tomson, Jürgo-Sören Preden, Leo Mõtus

“…The efficiency of distributed data fusion is evaluated and the importance and effect of establishing data validity is shown.…”
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Research on Detection Technology for Breakwater Structures Based on Multi-sensor Information Fusion by LIN Xiaobin, YANG Zhimin

“…With the rapid development of port facilities,the safety and stability of port wading projects have attracted increasingly more attention in recent years.Under the influences of waves and typhoons on port breakwaters,the abovewater structures of breakwaters are damaged,and the underwater ones are subject to structural fractures,damage,and deformation.To address the problem,this paper proposes a method characterized by data fusion and a principle of multi-sensor integration of unmanned aerial vehicle (UAV) lidar system,SeaBat T50-P multibeam echosounder,GPS RTK,and BV5000-1350 three-dimensional scanning sonar measurement system.A feasibility study of the method is then carried out.The test shows that through data fusion,this method achieves complementary advantages and obtains more detailed and accurate data.The proposed method provides reliable technical support for the detection of port breakwaters and other underwater facilities at ports.…”
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Associated Clustering Strategy for Wireless Sensor Network by Yajuan Sun, Huanzhao Wang, Kewang Zhang, Xudong Yang

“…Moreover, as compared with the traditional random clustering, the associated clustering strategy based on data correlation achieves better performance for each cluster, and will be more efficient in data fusion at the cluster heads.…”
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An enhanced tropospheric fusion model based on China’s National continuously operating reference stations by Chaoqian Xu, Lihong Li, Junbo Shi, Ming Chen, Yibin Yao

“…This study introduces a multi-source data fusion model of the tropospheric delay over China and uses GNSS data, meteorological data, and Global Pressure and Temperature 2 wet (GPT2w) model data to derive the model coefficients. …”
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Exploration of Flood Prediction in Watersheds Based on the Fusion Analysis of Remote Sensing Big Data with Multiple Physical Fields by Minming Xu, Yun Ouyang

“…The multiphysics remote sensing big data fusion analysis can divide the data into grids according to the grid method in the sliding time window, filter the normal data by information entropy in each grid, judge the remaining data that may be abnormal by using local abnormality factor, and eliminate the abnormal data according to the judgment result. …”
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Efficient recognition of Parkinson’s disease mice on stepping characters with CNN by Yunsong Luo, Yiqi Huang, Guangzhan Fang, Ningping Tan, Yezhong Tang

“…This research not only highlights the substantial potential of applying multimodal data fusion strategies in the early detection of Parkinson’s disease but also proves that such an approach can significantly improve diagnostic accuracy. …”
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Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis by Qing Wu, Jie Wang, Jin Fan, Gang Xu, Jia Wu, Blake Johnson, Xingfei Li, Quan Do, Ruiquan Ge

“…Coupled matrix and tensor factorizations have been successfully used in many data fusion scenarios where datasets are assumed to be exactly coupled. …”
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Predicting conversion of Alzheimer’s disease based on multi-modal fusion of neuroimaging and genetic data by Yang Xi, Qian Wang, Chenxue Wu, Lu Zhang, Ying Chen, Zhu Lan

“…We proposed a classification method of sMCIs and pMCIs based on multi-modality data fusion of single-nucleotide polymorphisms (SNP), ratio of gray matter volume (RGV) obtained by morphometric measures, and sMRI images to predict the progression of AD. …”
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Multi-Sensor-Fusion Approach for a Data-Science-Oriented Preventive Health Management System: Concept and Development of a Decentralized Data Collection Approach for Heterogeneous... by Sebastian Neubert, André Geißler, Thomas Roddelkopf, Regina Stoll, Karl-Heinz Sandmann, Julius Neumann, Kerstin Thurow

“…Thus, the mDCS increases the availability of the processing cloud and in consequence also of the higher level data-fusion procedures. The developed system can be easily adapted to changing health-care applications by using different sensor combinations. …”
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Fuzzy trust model for wireless sensor networks with intrusion tolerance by WANG Liang-min1, GUO Yuan-bo2, ZHAN Yong-zhao1

“…To protect key services of wireless sensor networks of data fusion and package forward,a fuzzy trust model based on trust and confidence and its evaluation algorithms were presented,in which the value of confidence was used to describe the impreciseness of the value of the trust.Then the simulation and the example were given to show the per-formances of using the model to detect or tolerate the insidious attacks.Finally,the package drop ration of the networks with the trust evaluation system was simulated and the comparison with the related work was discussed.…”
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Textual and chemical information processing: different domains but similar algorithms by Peter Willett

“…Applications discussed include: an algorithm for distribution sorting that has been applied to the design of screening systems for rapid chemical substructure searching; the use of measures of inter-molecular structural similarity for the analysis of hypertext graphs; a genetic algorithm for calculating term weights for relevance feedback searching for determining whether a molecule is likely to exhibit biological activity; and the use of data fusion to combine the results of different chemical similarity searches.…”
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore, Osamah Ibrahim Khalaf, Sarita Simaiya, Carlos Andrés Tavera Romero, Ghaida Muttashar Abdulsahib, Poongodi M, Dinesh Kumar

“…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …”
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Building the future: innovative application and development prospect of telecommunication big data open platform in for intelligent social governance by QIU Baohua

“…The solutions to key issues, including multi-domain data fusion, spatiotemporal data model construction, and big data openness strategies, was deeply analyzed, and the project outcomes and their impact at the technological, economic, and social levels was forecasted. …”
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BAYESIAN STATISTICAL FUSION RELIABILITY EVALUATION MODEL OF MULTI-SOURCE HETEROGENEOUS DATA by TANG Li, TANG JiaYin, CHENG ShiJuan

“…In order to solve the reliability evaluation of small samples for the high reliability, long-life products and to improve the accuracy of reliability evaluation, the Bayesian reliability evaluation model of multiple information source data fusion was carried out. First, a set of data as the initial prior information of another information source in this model was selected, by using the posterior density according to Bayesian estimation. …”
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A Novel Dynamic Routing Approach to Distributed Wireless Sensor Network in Aircraft Environment by Hui Sun, Chengrui Bai, Yahui Li, Kaixin Yang

“…In this paper, a new dynamic routing algorithm is proposed to prolong the lifetime of the monitoring system with a distributed network based on the K-coverage method, and filter algorithm to be used for data fusion. Finally, the simulation results validate the effectiveness of the proposed approach.…”
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Distributed Filter with Consensus Strategies for Sensor Networks by Xie Li, Huang Caimou, Hu Haoji

“…Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is investigated for state estimation of distributed sensor networks. …”
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A dynamic trust evaluation scheme for cooperative spectrum sensing by Meiying WANG, Jingyu FENG, Guangyue LU, Dingkun HAN

“…Considering the harmful effect of dynamic SSDF attack against cooperative spectrum sensing technologies，a dynamic trust evaluation scheme based on the real-time observation and analysis of cognitive users’ sensing behaviors was proposed.Time attenuation，additive reward and additive penalty factors based on the historical sensing variation of cognitive users were introduced to calculate the dynamic trust value which changes with time and the number of collaborations.Meanwhile，trusted cognitive users were selected to participate in cooperative sensing，and thus improving the accuracy of the final sensing decision.Simulation results show that the scheme can effectively suppress the growth of trust of malicious users，and reduce the attack success rate for“OR”，“AND”and“Majority”which are three kinds of cooperative spectrum sensing data fusion schemes.…”
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