A Regularized Alternating Least-Squares Method for Minimizing a Sum of Squared Euclidean Norms with Rank Constraint by Pablo Soto-Quiros

“…Additionally, we present an algorithm based on the regularized alternating least-squares (RALS) method for solving the MSSEN-RC problem. …”
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Energy Management Strategy Optimization of HEV based on Driving Pattern Recognition by Liu Yonggang, Xie Qingbo, Qin Datong, Lei Zhenzhen

“…The 23 typical driving cycles are chosen from ADVISOR software and five categories are divided by using clustering analysis method,the key parameters of each category are optimized by using particle swarm algorithm,with the goal of reducing fuel consumption,relevant optimized results are saved in database,an energy management strategy optimization method of HEV based on driving pattern recognition is proposed.Finally,the simulation analysis for the energy management is carried out under a comprehensive test cycle,simulation results show that vehicle fuel consumption is cut down 12. 77%,and the deviation of the battery SOC have greatly decrease compare with other energy management strategy which based on driving pattern recognition.…”
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An Empirical Configuration Study of a Common Document Clustering Pipeline by Anton Eklund, Mona Forsman, Frank Drewes

“…The results suggest that BERT embeddings combined with UMAP dimension reduction to no less than 15 dimensions provides a good basis for clustering, regardless of the specific clustering algorithm used. Moreover, while UMAP performed better than PCA in our experiments, tuning the UMAP settings showed little impact on the overall performance. …”
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Research of the Shift Schedule and Ratio Optimization for the Transmission System of a Two-speed Electric Vehicle by Zhou Yunshan, Yang Kefeng

“…Taking the coupling effect of the shift schedule in optimization process into account,the rule of developing a comprehensive shift strategy,which associates with ratios and considers the dynamic and economic performances is determined. An enumeration algorithm,which has the function of non- dominated comparing and filtering,is designed to obtain the Pareto- optimal solution set for the dual objective function. …”
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Energy-efficient and fast method on storage and querying in wireless sensor networks by PENG Shao-liang, LI Shan-shan, PENG Yu-xing, LIAO Xiang-ke, XIAO Nong

“…In order to make more practical, a localized data dissemination algorithm, called BubbleGeocast, is designed. It is made up of two components: adaptive accurate data diffusion in real-time and rejection-based uniform data diffusion. …”
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Single-Object-Based Region Growth: Key Area Localization Model for Remote Sensing Image Scene Classification by Feiyang Li, Jiangtao Wang, Mingyang Wang, Ziyang Wang

“…To tackle this problem, this paper proposes a single-object-based region growth algorithm to effectively localize the most key area in the whole image, so as to generate more discriminative local fine-grained features for the image scene. …”
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Deep reinforcement learning-based resource joint optimization for millimeter-wave massive MIMO systems by LIU Qingli, LI Xiaoyu, LI Rui

“…Experimental results show that the proposed joint optimization method significantly improves the throughput and energy efficiency of the system compared with the single-stage all-digital precoding and hybrid precoding equal resource allocation methods and the particle swarm optimization-based resource allocation algorithm.…”
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Region-based lossless data hiding with high capacity for medical images by Xiao-hong DENG, Zhi-gang CHEN, Di-qing LIANG, Yi-min MAO

“…In view of the significant regional features of medical images,a new high capacity lossless data hiding method based on region and histogram shifting was presented.Firstly,the presented method utilized segmentation method of the maximum class separation distance to get the foreground region of medical images,and then used the polymeric polygonal approximation and image fitting algorithm to get the embedding region of region foreground.In the embedding procedure,the difference histogram circular shifting method and the code-based histogram shifting method were presented to embed hidden data in foreground and background region respectively,which improved the limit embedding capacity and resolved the overflow and underflow in traditional histogram shifting method.Experimental results show that the proposed method achieves high embedding capacity with 1 bit/pixel and stego-image quality about 40 dB.The presented method can be applied to the quality of sensitive image's large capacity information hiding with regional feature.…”
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Research Progress of Synthesis and Modification Methods Based on Dynamic Substructures by Jintao Su, Bangdong Wang

“…Finally, the development trend of dynamic substructure synthesis and modification algorithm is proposed.…”
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Adaptive guaranteed time slots allocation policy in wireless sensor networks with mobility awareness by LI Xiao-ji1, CHEN Chen1, QIU Hong-bing2, MO Wei2

“…To improve the connectivity in mobile wireless sensor networks,an adaptive GTS（guaranteed time slot） allocation algorithm with nodal mobility awareness was proposed.At first,the nodal location in next state was given by Kalman filters forecasting model.Then,a method that considered velocity,direction and relative mobility was used to define mobility level,based on which the nodal priorities for GTS reservation could be determined initially.Subsequently,the priorities could be adjusted adaptively according to the usage status feedback from allocated slots.Finally,the priorities could be used to determine the order for using GTS and the right of use an extra reservation slot.Simulation results show that the proposed scheme could increase the success rate of random access and ensure a lower average packets transmission delay and higher delivery ratio.Furthermore,with the adaptive adjustment scheme for reservation priorities base on usage feedback,the rate of correct utilization of allocated slots is increased significantly in the overall networks.…”
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Robust Estimation of the Unbalance of Rotor Systems Based on Sparsity Control of the Residual Model by Tingpeng Zang, Guangrui Wen, Zhifen Zhang

“…With the help of the sparsity of external disturbances, the unbalance identification is converted into a convex optimization problem and solved by a sparse signal reconstruction algorithm. Experiment results have shown that the proposed method is robust and effective in identifying the unbalance of rotor systems in a complex environment, improving the precision of unbalance estimation and simplifying the balancing process.…”
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Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems by L. Bergamaschi, A. Martínez

“…The overall RFSAI-BFGS preconditioned Newton algorithm has shown comparable efficiencies with a well-established eigenvalue solver on all the test problems.…”
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Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system by Xumin PU, Kaiyuan DENG, Qianbin CHEN

“…A low complexity downlink channel estimation method for high-speed mobile scenarios was proposed for the extra-large scale multiple-input multiple-output (MIMO) orthogonal time-frequency space (OTFS) system.Different from the existing studies, the proposed method considers the significant spatial non-stationary characteristics of extra-large scale MIMO-OTFS system.Based on the visible path region, an enhanced sparse orthogonal matching pursuit (OMP) algorithm with low complexity was proposed, uplink-assisted downlink channel estimation was achieved using the mapping relationship between the uplink and downlink channels in the frequency-division duplex (FDD) mode.Simulation results show that the proposed uplink-assisted downlink channel estimation method can accurately represent the non-stationary of the system, and achieve significant improvement in the channel estimation performance while reducing the computational complexity , and still perform well in high-mobility IoT scenarios.…”
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Sum-rate maximization in MIMO NOMA system with imperfect CSI by Yanjing SUN, Yang LIU, Jiasi ZHOU, Qi CAO, Song LI

“…In order to solve the problem of maximizing the sum rate under the constraints of transmission power limitation and users’ rates requirements,precoder and receiver were devised by combining multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) based on imperfect channel state information (CSI).To take advantage of successive interference cancellation (SIC) techniques to eliminate interference from weak user’s signal,each data stream of the strong user needed to decode the corresponding weak user’s signal.Since the problem formed was non-convex,it was converted into the problem with the difference of two convex functions (D.C.) by using semi-positive definite programming and first-order Taylor expansion,and a penalty function was used to solve the constraint of the rank of the precoding covariance matrix.The simulation results show that compared with the orthogonal multiple access technology,the proposed D.C.algorithm can improve system sum rate.…”
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Seamless Integration of RESTful Services into the Web of Data by Markus Lanthaler, Christian Gütl

“…It also shows how these descriptions along with an algorithm to translate SPARQL queries to HTTP requests can be used to integrate RESTful services into a global read-write Web of Data.…”
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Single Feature Extraction Method of Bearing Fault Signals Based on Slope Entropy by Erna Shi

“…Then, some relevant data are computed, and the identification ratios are calculated by the K-nearest neighbor (KNN) algorithm. The experimental result indicated that the identification ratio of SloE is the highest at 97.71% by comparing with the identification ratios of the other five kinds of entropy, which is higher by at least 13.54% than the others and 27.5% higher than the lowest one.…”
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Target Tracking with NLOS Detection and Mitigation in Wireless Sensor Networks by Xiaoping Wu, Junguo Hu, Yujia Jiang, Enbin Liu, Guoying Wang

“…Combining the movement equation with observation position, the position of mobile target node can be tracked precisely with Kalman filter algorithm. Using the estimated NLOS range errors, we correct the localization result and modify Kalman filter to mitigate the NLOS propagations. …”
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Novel node upgradation strategy for migration to elastic optical networks by Xiaodong FU, Yongcheng LI, Gangxiang SHEN

“…For migration from dense wavelength division multiplexing (DWDM) networks to elastic optical networks (EON),it is required to upgrade the traditional reconfigurable optical add-drop multiplexer (ROADM) to the new-generation ROADM that supports flexible grids.However,for a large-scale optical network,it is generally impossible to upgrade the ROADM nodes all in once; rather,they would be upgraded gradually.For this,it is critical to study different strategies for selecting the ROADM nodes to be upgraded.Also,for the interconnection between different generations of ROADM,the sub-band virtual concatenation (VCAT) technique was employed to enable an optical channel to be established via traversing different types of nodes.An integer liner programming (ILP) model and an efficient heuristic algorithm were developed to jointly select the ROADM nodes to upgraded and assign spectrum resources.Simulation studies show that the proposed strategy for the upgraded node selection is efficient to perform close to the ILP model in terms of the maximum number of FS used in the whole network.…”
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The Application of Speech Synthesis Technology Based on Deep Neural Network in Intelligent Broadcasting by Jihong Yang

“…Further, the scheme for transforming the parameters obtained from the temporary decomposition (TD) algorithm, DNN trains the event vectors obtained from TD decomposition, establishes the transformation model, and recombines with the untransformed event function. …”
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Error Analysis and Compensation of a Three-degree-of-freedom Cervical Traction Rehabilitation Mechanisms by Hong Li, Qingfeng Wang, Xinyu Wang, Weixiao Lu

“…Firstly， the error modeling is based on the closed vector method， and 11 important errors are identified according to the global error sensitivity； then， based on the given error range， global pose errors and local errors of the moving platform when <italic>z</italic>=600 mm and <italic>z</italic>=650 mm are analyzed； finally， based on the particle swarm algorithm， the optimal solutions for the four sets of error compensation are derived， and the joint experimental simulation analysis is carried out by Matlab and Adams software. …”
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