TD algorithm based on double-layer fuzzy partitioning by Xiang MU, Quan LIU, Qi-ming FU, Hong-kun SUN, Xin ZHOU

“…When dealing with the continuous space problems,the traditional Q-iteration algorithms based on lookup-table or function approximation converge slowly and are diff lt to get a continuous policy.To overcome the above weak-nesses,an on-policy TD algorithm named DFP-OPTD was proposed based on double-layer fuzzy partitioning and its convergence was proved.The first layer of fuzzy partitioning was applied for state space,the second layer of fuzzy parti-tioning was applied for action space,and Q-value functions were computed by the combination of the two layer fuzzy partitioning.Based on the Q-value function,the consequent parameters of fuzzy rules were updated by gradient descent method.Applying DFP-OPTD on two classical reinforcement learning problems,experimental results show that the algo-rithm not only can be used to get a continuous action policy,but also has a better convergence performance.…”
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Efficient model-and-data based channel estimation algorithm by Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI

“…For orthogonal frequency division multiplexing (OFDM) systems, a hybrid model and data driven channel estimation algorithm was proposed.Combined with two existing channel estimation methods, including a low complex learning-based channel estimation method and the linear minimum mean square error (LMMSE) channel estimation, the estimator with the ability was facilitated to employ online training to improve estimation performance.Meanwhile, the pilot overhead consumed by generating online training data was saved due to the use of the model-based method in the proposed algorithm, which improved the spectrum efficiency.The simulation results demonstrate that the proposed algorithm has better performance under low signal-to-noise ratio (SNR) and better adaptation to practical imperfections compared with conventional channel estimation methods.…”
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Parallelism of multi-scale quantum harmonic oscillator algorithm by Yan HUANG, Peng WANG, Kun CHENG, Feng LIU

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A novel fast tag number estimation algorithm by Yinghua CUI

“…Tag number estimation is one of the key technologies in radio frequency identification (RFID) system.The conventional estimation algorithms usually interrogate all time slots before estimating the tag quantity,which lead to large payload and time consumption.A rapid estimation algorithm was proposed.By judging the collision of the first 4 slots in each frame,the Q parameter values could be adjusted quickly,and then the number of tag estimates could be obtained by querying a small number of slots.Simulation results show that compared with the traditional tag estimation algorithm,the proposed algorithm has the advantages of fast estimation speed and small estimation error,and is very suitable for fast estimation.…”
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Improved SLM algorithm for PAPR reduction in OFDM system by Ce JI, Wenjing ZHU, Ying WEI, Dianxia JIA

“…In order to reduce the peak to average power ratio (PAPR) of the conventional selective mapping (SLM) algorithm,decrease the transmission of side-band information,and improve the spectral efficiency in the orthogonal frequency division multiplexing (OFDM) system,the TL-SLM algorithm based on the conversion matrix and the chaotic sequence was proposed firstly.Although the TL-SLM algorithm could effectively decrease the transmission of side-band information,the reduction of PA P R was limited.To solve this problem,an improved TL-SLM algorithm based on the rotation vector was proposed,which was the TR-SLM algorithm.TR-SLM algorithm introduced the rotation vector to generate more time-domain alternative signals to further reducing the PA P R.The performance analysis shows that although the TL-SLM algorithm and the TR-SLM algorithm increase the complexity a little,the PA P R performance is effectively improved and the transmission of side-band information is greatly reduced.…”
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Rate control algorithm for no-feedback distributed video coding by HENJian C, Chao HUI, Yong-hong KUO

“…The simulation results show that compared with the existed methods, the proposed algorithm can improve the quality of side information estimation considerably especially for the middle-high motion video sequences and in-crease the average PSNR (peak signal-to-noise ratio) of decoded video.…”
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An Improved Algorithm for TD-LTE Downlink Time Synchronization by Wenle Bai, Xu Wang, Yongmei Zhang, Mugen Peng

“…Aimed at the application problem of timing synchronization algorithm in orthogonal frequency division multiplexing system, an improved algorithm for TD-LTE downlink time synchronization was proposed. …”
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Robust image hiding algorithm for secure multimodal biometrics by Yu-qiang CAO, Wei-guo GONG, Sen BAI

“…In order to solve the bio-template secure transmission in multimode biometric authentication,a novel al-gorithm was presented that hiding face watermarks in fingerprint carrier image to improve security and recognition accuracy.RST invariant embedding region was obtained by carrier image normalization and the core point detection.Multiple embedding based on SVD in the region and watermark optimizations in extraction process were presented in hiding scheme.The security of the proposed algorithm and its robustness against different kinds of attacks were verified by simulations.…”
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A Specific Algorithm Based on Motion Direction Prediction by Zhesen Chu, Min Li

“…In this paper, we study the estimation of motion direction prediction for fast motion and propose a threshold-based human target detection algorithm using motion vectors and other data as human target feature information. …”
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Research on mapping algorithm of virtual network oriented to SDN by Jian WANG, Guo-sheng ZHAO, Zhi-xin LI

Subjects: “…ant colony hybrid genetic algorithm…”
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Clustering algorithm preserving differential privacy in the framework of Spark by Zhi-qiang GAO, Qing-peng LI, Ren-yuan HU

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Efficient algorithm for computing Walsh spectrum and differential probability by IUYan L, UBin H, ULi-ping X

“…According to the characteristic of T-functions,along with the definition of narrow T-functions,the linear prop-erty and differential property were studied.Markov chain and transition matrices were constructed to propose fast algo-rithm for computing Walsh spectrum and differential probability,of which the time complexity is O(n).In addition,the algorithm is applied in the T-functions in TSC-family and finally the result expression is given.…”
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Treatment Algorithm for Acute Kidney Injury in Patients with Cirrhosis by Myeong Jun Song

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Forecast-based resource reconfiguration algorithm for network virtualization by ZHANG Shun-li, QIU Xue-song, PAN Ya-lian, MENG Luo-ming

“…In order to solve imbalance issues of used resources of substrate network,which are brought by virtual net-work joining and leaving dynamically,forecast-based resource reconfiguration algorithm（FRRA） for network virtualiza-tion environment was proposed.Algorithm FRRA took full advantage of known information to calculate interval of re-configuration and used this interval to replace the periodic time span in previous algorithms.In order to make reconfigu-ration time global optimal,it took two measures:resources were divided into critcal resources and general resources,and different algorithms were used to key resources and common resources respectively;according to the probability that re-source migration was failure,the limit number of reconfiguration requests was deduced.FRRA algorithm with VNA-II algorithm and PMPA algorithm in the experiments was compared.The results show that algorithm FRRA reduces recon-figuration cost 69% than that of VNA-II and 42% than that of PMPA.Algorithm FRRA improves VN request reception rate 29% than that of VNA-II and 52% than that of PMPA.…”
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An Example-Based Super-Resolution Algorithm for Selfie Images by Jino Hans William, N. Venkateswaran, Srinath Narayanan, Sandeep Ramachandran

“…The proposed algorithm is evaluated for its efficiency and effectiveness both qualitatively and quantitatively with other state-of-the-art SR algorithms. …”
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A Triangular Personalized Recommendation Algorithm for Improving Diversity by Biao Cai, Xiaowang Yang, Yusheng Huang, Hongjun Li, Qiang Sang

“…However, diversity is also an important evaluation index in the recommendation algorithm. In order to study both the accuracy and diversity of a recommendation algorithm at the same time, this study introduced a “third dimension” to the commonly used user/product two-dimensional recommendation, and a recommendation algorithm is proposed that is based on a triangular area (TR algorithm). …”
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Nuclear Power Plant Maintenance Optimization with Heuristic Algorithm by Andrija Volkanovski, Leon Cizelj

“…The optimal solution of the objective function is estimated with genetic algorithm. The proposed method is applied on probabilistic safety analysis model of the selected safety system of the reference nuclear power plant. …”
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Virtual machine placement algorithm based on cuckoo search by Donghan JIANG, Haitao LIN

“…A cuckoo search algorithm was introduced for virtual machine placement.Firstly,the virtual machine placement program was mapped to the nest,and according to the level,the fitness would be divided into top and bottom nest.Secondly,the bottom nest and the top nest were disturbed by the disturbance function.Finally,by selecting,iterations got the best placement scheme.The algorithm was used for physical integration of cloud data centers,minimizing the number of physical machines placed.The algorithm is simulated by Cloudsim and the results show that the proposed method not only avoids the local optimum,but also has higher performance advantages than the reordered grouping genetic algorithm,the group genetic algorithm,the improved least load algorithm and the improved first fit decrease algorithm.…”
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An AkNN Algorithm for High-Dimensional Big Data by Zhongwei Wang, Yefang Chen, Siyou Xiao, Jiangbo Qian

“…A new variant of k nearest neighbor queries，which called as all k-nearest neighbor queries（AkNN），is a process to search the k nearest neighbors of each object in a data set.An AkNN query algorithm for high-dimensional big data on the Hadoop system was proposed.Using the banding technique and the p-stable LSH algorithm，dimensionality reduction was performed，then the data was embeded in a Z-order curve.The preprocessed data were continued to be treated on a MapReduce framework in a distributed parallel manner.Experimental results show that the proposed algorithm can efficiently handle AkNN queries for large-scale high-dimensional data.…”
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Application of Golden Sine Algorithm in Hydrogeological Parameter Optimization by ZHOU Yourong, LI Na, ZHOU Fahui

Subjects: “…golden sine algorithm…”
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