PoSW:novel secure deduplication scheme for collaborative cloud applications by Jin-bo XIONG, Su-ping LI, Yuan-yuan ZHANG, Xuan LI, EA-yong Y, Zhi-qiang YAO

“…In order to solve the problems of secure access and deduplication to the shared file in the cloud environment,a novel notion called proof of shared ownership (PoSW) was formalized,and a formal definition of the PoSW was given.Furthermore,a PoSW scheme and an enhanced version of that were proposed.In the PoSW scheme,secure shared file dispersal,convergent encryption and secret sharing algorithm were employed to transform the shared file realize the sharing and authorization for the shared file,and then a novel challenge-response protocol was proposed to achieve the proof of shared ownership and the foundation for the secure deduplication of the shared file was provided.An enhanced PoSW scheme was designed to improve the availability and reliability for different kinds of the shared files by introducing the multi-cloud server providers and using the strategies of both data duplication and secret file dispersal.Security analysis and performance evaluation show the security and efficiency of the proposed scheme.…”
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Motion Patterns Learning in Crowded Scenes by KANG Yong-xin, YUAN Li-ying

“…We detail the generative process and Gibbs sampling process of DDCRF, and then the results of experiments are shown. An extensive evaluation is performed on the dataset including 47,866 tracklets collected from the crowded New York Grand Central station, indicating that our algorithm has the following advantages: deducing the number of latent motion patterns automatically, learning motion patterns precisely from these tracklets, and sharing constituent parts and sub patterns among different motion patterns.…”
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TraIL: Pinpoint Trajectory for Indoor Localization by Shengnan Li, Zheng Qin, Chenshu Wu, Zheng Yang

“…Taking both sides into account simultaneously, we design techniques to refine the raw WiFi positions in the process of laying the precise local trajectory appropriately down to the absolute coordinate using a novel least median of squares (LMS) fit algorithm. We develop a prototype system, named TraIL, and conduct comprehensive experiments in a building along different shaped routes. …”
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NUMERICAL METHOD FOR ESTIMATION OF TENSILE LOAD IN TIE-RODS by Kseniia Riabova, Luca Collini, Rinaldo Garziera

“…Qualitative analysis of the results showed a significant reduction of the error compared to models with different boundary conditions. The method showed to be conservative for the strength evaluation of the rods, because the optimal values of tensile loads appeared to be higher than the load in perfect encastre conditions.…”
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Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy by Paolo Zaffino, Ciro Benito Raggio, Adrian Thummerer, Gabriel Guterres Marmitt, Johannes Albertus Langendijk, Anna Procopio, Carlo Cosentino, Joao Seco, Antje Christin Knopf, Stefan Both, Maria Francesca Spadea

“…The algorithm evaluation revealed an accurate HU prediction (a median absolute prediction deviation equal to 4 HU for CBCT-based synthetic CTs and 6 HU for MR-based synthetic CTs), with discrepancies that do not affect the clinical decisions made on the basis of the proposed estimation. …”
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Robust pose estimation for non-cooperative space objects based on multichannel matching method by Zhaoxiang Zhang, Yuelei Xu, Jianing Song

“…A space object dataset including nine different types of non-cooperative targets with 11,565 samples is developed for model training and evaluation. …”
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Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems by Xiyu Song, Nae Zheng, Ting Bai

“…Then, two operational schemes, modified fair multistart local search (MFMLS) algorithm and modified fair multistart local search with one antenna to all targets (MFMLS_OAT) algorithm, are presented and evaluated. …”
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Key geological and engineering technologies and research directions for shale gas exploration and development in western Hubei Province, China by Guangyou Zhu, Jineng Jin, Qilin Xiao, Lei Wang, Guanglong Sheng, Jun Tang, Jianghui Meng, Zhiyuan Lu, Can Chen

“…Parameters with vastly different scales used in the design, such as meter-scale fracture half-length and millidarcy-scale fracture conductivity, can be co-optimized using artificial intelligence (AI) algorithms such as the genetic algorithm (GA) and the simultaneous perturbation stochastic approximation (SPSA) algorithm. …”
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An Improved Soil Moisture Downscaling Method Based on Soil Properties and Geographical Divisions over the Loess Plateau by Lei Han, Zheyuan Miao, Zhao Liu, Hongliang Kang, Han Zhang, Shaoan Gan, Yuxuan Ren, Guiming Hu

“…This study found the following: (1) The Normalized Difference Vegetation Index (NDVI) was the most important environmental factor in all divisions except the Flood Plain, and the Digital Elevation Model (DEM) was second only to the NDVI in the overall importance evaluation, both of which positively influenced SM. (2) SM variability increased and then decreased when SM was below 0.4 cm³/cm³, but showed a quadratic growth trend when exceeding this threshold. …”
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METAHEURISTIC OPTIMIZATION METHODS FOR PARAMETERS ESTIMATION OF DYNAMIC SYSTEMS by A. V. Panteleev, A. U. Kryuchkov

“…Two ways of solving the problem of parameters evaluation are given, those parameters differ in their mathematical model. …”
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Interleaving between Ant Colony Optimization and Tabu Search for Image Matching by Ghusoon Basheer

“…The basic idea in this paper is using Ant Colony Optimization(ACO) & Tabu Search(TS) as a success strategy for matching two images. The suggestion algorithm evaluation is a good promising solution, by providing an optimal algorithm which is executed by optimal time and coast, I believe that there is no prior research conjoining the two topics in this way. …”
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Defect detection in textiles using back propagation neural classifier by Subrata Das, Amitabh Wahi, Suresh Jayaram

“…Different experiments were carried out by increasing the number of training data samples; it was found that the best evaluation performance was obtained as 83.3%.…”
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Enhancing Weather Target Detection with Non-Uniform Pulse Repetition Time (NPRT) Waveforms by Luyao Sun, Tao Wang

“…Notably, the NPRT waveform resolves the inherent conflicts between the maximum unambiguous distance and velocity and elevates the upper limit of the maximal observation velocity. The evaluation results confirm that nonlinear radar signal processing technology can improve a radar’s detection performance and provide a new method for realizing the multifunctional observation of radar in different applications.…”
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A decision-theoretic framework for wastewater treatment performance assessment based on a fuzzy parameterized fuzzy hypersoft set approach by Muhammad Haris Saeed, Fatima Razaq, Muhammad Saeed, Muhammad Salman Habib, Seung-June Hwang

“…The sub-parametric values are first parameterized into fuzzy numbers and then evaluated based on their relative importance. With proper fuzzy parameterization of each sub-attribute, novel specialized FPFHSS based Technique of Ordered Preference Similar to Ideal Solution (TOPSIS) and Multi-Objective Optimization on the basis of a Ratio Analysis (MULTIMOORA) approaches are developed that provide a versatile analysis in addition to the newly developed algorithm. …”
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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Additionally, the Tree SHapley Additive exPlanation (TreeSHAP) technique is employed to analyze the explainability of the estimation model and reveal the influence of different features on SOH evaluation. Experiments involving two types of batteries under various aging conditions are conducted to obtain battery cycling aging data for model training and validation. …”
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Research on Data-Driven Optimal Operation of Slurry Circulation Pump by Zunyi XU, Wenhui LIU, Xuran ZHANG, Haiyan ZHANG

“…Specifically, the fuzzy C-means clustering algorithm and the combinatory evaluation method based on the weighted fusion of analytic hierarchy process and entropy weight method are applied to automatically search the optimal historical operation of the slurry circulation pump under different operating conditions, such that the SVM classifier is trained with the best historical operation record. …”
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HTML5-based graphic image processing and collaborative drawing technology by Yinghua Liang

“…The simulation analysis is carried out on MATLAB, and different image compression algorithms are used for comparison. …”
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Development of a Low-Cost Sensor System for Accurate Soil Assessment and Biological Activity Profiling by Antonio Ruiz-Gonzalez, Harriet Kempson, Jim Haseloff

“…Sensing data were obtained from 31 variables, including 18 individual light wavelengths that could be used to determine seed germination rates of tomato plants. A machine learning algorithm was trained using the data obtained by characterising 75 different soil samples. …”
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Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

“…A short-term photovoltaic power forecasting method is proposed, integrating variational mode decomposition (VMD), an improved dung beetle algorithm (IDBO), and a deep hybrid kernel extreme learning machine (DHKELM). …”
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Short‐term electric power and energy balance optimization scheduling based on low‐carbon bilateral demand response mechanism from multiple perspectives by Juan Li, Yonggang Li, Huazhi Liu

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