Design of DBA algorithm in EPON upstream channel in support of SLA by WANG Dong, QIU Kun, WANG Li-cun

“…Based on the SLA （service level agreement） in access network, the inherent deficiencies of two classical DBA algorithms: IPACT and Cyclic DBA in EPON to support multi-user types were analyzed. …”
Get full text

Bearing Defect Classification Algorithm Based on Autoencoder Neural Network by Manhuai Lu, Yuanxiang Mou

“…Comparative experiments show that the neural network can effectively complete feature selection and substantially improve classification accuracy while avoiding the laborious algorithm of the conventional method.…”
Get full text

SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

“…A literature survey was conducted attempting to report usage of Machine Learning (ML) algorithms in processing and interpretation of medical images (X-ray, CT scan, MRI, DEXA, etc.) for the purpose of diagnosing orthopedic disorders. …”
Get full text

Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots by Mohamed Kmich, Nawal El Ghouate, Ahmed Bencharqui, Hicham Karmouni, Mhamed Sayyouri, S.S. Askar, Mohamed Abouhawwash

Subjects: Get full text

Assessing the feasibility of quantum learning algorithms for noisy linear problems by Minkyu Kim, Panjin Kim

Subjects: “…Quantum algorithm…”
Get full text

WLAN indoor positioning algorithm based on skewness-kurtosis testing by Zhen-long SONG, Gang-yi JIANG, Chao HUANG, Mei YU, Jia-le ZHANG

“…Focused on the issues that large positioning errors produced by the inconsistency of received signal strength (RSS)sample population distributions under indoor wireless local area network (WLAN),an indoor positioning algorithm based on skewness-kurtosis testing was proposed.By using the testing method of skewness and kurtosis,whether the RSS samples come from the normal population or not was checked.The distribution functions of the samples accepting null hypothesis were approximated with normal distribution,and the probability density functions of the samples refusing null hypothesis were estimated by kernel function.Experimental results show that the proposed algorithm leads to a 15 percent improvement over the previous methods.Moreover,the proposed algorithm can significantly reduce the workload of the off-line phase at the same positioning accuracy.…”
Get full text

Key distribution and recovery algorithm based on Shamir's secret sharing by Hui-gui RONG, Jin-xia MO, Bing-guo CHANG, Guang SUN, Fei LONG

“…The case of secret sharing problem was discussed based on Shamir's secret sharing scheme and reconstructs the secret by introducing a linear combination of shadows—Lagrange factor. Then, the improved algorithm of key distribu-tion and recovery was proposed and extended to a multi-secret sharing scheme. …”
Get full text

An Enhanced -Means Clustering Algorithm for Pattern Discovery in Healthcare Data by Ramzi A. Haraty, Mohamad Dimishkieh, Mehedi Masud

“…Mainly, we study k -means clustering algorithms on large datasets and present an enhancement to k -means clustering, which requires k or a lesser number of passes to a dataset. …”
Get full text

Improved Epidemic algorithm based on trust mechanism in opportunistic networks by Guang-hua ZHANG, Shao-bo PANG, Yao-hong YANG, Zhen-guo CHEN

Subjects: Get full text

Research on simple query algorithm during mobile terminal disconnection by Ru-bing LIANG, Qiong LIU

Subjects: Get full text

Reconstruction algorithm for block compressed sensing based on variation model by Jian CHEN, xiong SUKai, zhi YANGXiu, kui ZHENGMing, qun LINLi

“…The algorithms for block compressed sensing based on total variation and mixed variation (abbreviated as BCS-TV and BCS-MV) models were proposed to improve the performance of current reconstruction algorithms for the block-based compressed sensing. …”
Get full text

Determination of the FIFO-stack size for the algorithm of the image region growing by V. Yu. Tsviatkou

“…The aim of the work is to derive an expression that allows determining the size of the FIFO-stack for storing the coordinates of adjacent pixels depending on the image size for the segmentation algorithm based on region growing. The FIFO stack, organized on the principle of a ring multi-bit shift register, is considered. …”
Get full text

Learning attribute network algorithm based on high-order similarity by Shaoqing WU, Yihong DONG, Xiong WANG, Yan CAO, Yu XIN

Get full text

A Virtual Network Mapping Algorithm Based on Approaching Principle by Sheng Huang, Chuanchuan Wu, Xiaofei Yang, Hui Wang, Wei Zhang

“…On the basis of two stages virtual network mapping algorithm, pointing at the defects of the blind node mapping of existing greedy strategy, a virtual network mapping algorithm based on approaching principle was proposed. …”
Get full text

An Improved 3D Localization Algorithm for the Wireless Sensor Network by Yan Xu, Yi Zhuang, Jing-jing Gu

“…Therefore, the three-dimensional localization algorithm has become hot in wireless sensor networks. …”
Get full text

Path Planning of Manipulators with the Improved RRT Algorithm in Complex Environment by Zhou Qinyuan, Zhang Lei, Deng Yueping, Zhang Chen, Lu Rirong, Hu Xianzhe

“…Aiming at the problems of the standard rapidly exploring random tree (RRT) algorithm in a complex environment, such as blind expansion, falling into local search, easy planning failure, low sampling success rate, and long paths, an adaptive goal-oriented strategy combined with an alternative strategy for regional sampling and an improved RRT algorithm of the greedy pruning strategy was proposed. …”
Get full text

Heuristics for solving the parameter tuning problem in motion cueing algorithms. by Sergio Casas, Cristina Portalés, José V. Riera, Marcos Fernández

“…Motion cueing algorithms are commonly used in vehicle simulators to control robotic motion platforms. …”
Get full text

Low-complexity ATPM-VSIMM algorithm with adaptive model parameters by Hao ZENG, Wangqiang MU, Yang JIANG, Shunping YANG

“…Aiming at the problem that for maneuvering target tracking, the accuracy of tracking degraded in interacting multiple model algorithms due to the fixed model sets and the fixed transition probability matrix, a low-complexity ATPM-VSIMM algorithm was proposed, which could update the model parameters adaptively.The maneuvering situation of the target was judged according to the innovation changes of the system, and the state noise of the model sets was adjusted to realize the adaptive update of the model sets.Then, the more accurate transition probability matrix was computed through the change of the model posterior probability and the inter-model switching relationship.Therefore, the matching degree between the system motion model and the target motion trajectory was improved.Finally, the high filtering accuracy and the fast response speed of the tracking system were guaranteed.The effectiveness of the proposed algorithm was verified through three aspects that are the initial value of the model posterior probability, the initial value of the transition probability matrix, and the state noise.Simulation results demonstrate that the filtering accuracy of the ATPM-VSIMM algorithm is improved about 8% compared with the existing algorithms.…”
Get full text

Time-optimal Trajectory Planning of Robot based on Breed Algorithm by Yu Rui, Wang Chengjun, Guo Yongcun, Zhang Yuping

Subjects: Get full text

An Extended Analysis of the Correlation Extraction Algorithm in the Context of Linear Cryptanalysis by Christoph Graebnitz, Valentin Pickel, Holger Eble, Frank Morgner, Hannes Hattenbach, Marian Margraf

“…For this purpose, the Correlation Extraction Algorithm (CEA), which leverages the emerging field of quantum computing, appears promising. …”
Get full text