Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter by Fikret Caliskan, Youmin Zhang, N. Eva Wu, Jong-Yeob Shin

“…An adaptive modified two-stage linear Kalman filtering algorithm is utilized to identify the loss of control effectiveness and the magnitude of low degree of stuck faults in a closed-loop nonlinear B747 aircraft. …”
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Design and Position Analysis of a 2T1R Parallel Mechanism with Bending Translation Characteristics by Gao Bo, Shi Zhixin

“…The traditional 2T1R parallel mechanism with only straight motion needs to fit multiple straight movements through algorithms for curve translation. This mechanism can be achieved through only one-dimensional translation, greatly simplifying the complexity of the mechanism and the difficulty of the control algorithm.…”
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Optimal approach of suppressing WSN malware propagation based on cloud computing and dynamic Bayesian game by Shigen SHEN, Sheng FENG, Haiping ZHOU, Longjun HUANG, Keli HU, Qiying CAO

“…To apply intrusion detection system (IDS) efficiently so as to suppress WSN malware propagation,a cloud-based network infrastructure for realizing functions of WSN IDS was presented,considering the real basis that the resources of WSN nodes were limited whilst the resources of cloud computing platform were almost unlimited.Based on the analysis of the game process between a sensor node and the corresponding WSN IDS agent,a WSN-malware-propagation-suppression game model was constructed by employing the dynamic Bayesian game,and the requirements of energy consumption in sending monitored data and privacy protection for sensor nodes were satisfied.According to the proposed game type and refined Bayesian equilibrium,the optimal strategie for suppressing WSN malware was proposed as well the algorithm for actual application was given.The factors that influence WSN IDS agents to select their optimal strategies were analyzed,and the experimental foundation was provided for the application of the proposed approach.…”
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Survey on intelligent game of computer poker by Weilin YUAN, Zhiyong LIAO, Wei GAO, Tingting WEI, Junren LUO, Wanpeng ZAHNG, Jing CHEN

“…Computer game is the drosophila in the field of artificial intelligence, which has attracted the attention of researchers in artificial intelligence, and has become an advantageous testbed for the research of cognitive intelligence.Poker game can be modeled as dynamic games with imperfect information, definite boundaries and fixed rules.Computer poker AI needs such abilities as dynamic decision-making with incomplete information, identification of misleading and fraudulent behaviors by opponents, and multi-round chips and risk management.Firstly , the development of computer poker game was introduced, which represented by Texas Hold’em poker.Then, typical intelligence game model algorithm, key techniques and existing main problems of computer poker were reviewed analysis.Finally, the future development trends and application prospect of computer intelligent poker game were discussed for cognitive intelligence.…”
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Designing a Fresh Food Supply Chain Network: An Application of Nonlinear Programming by Yu-Chung Tsao

“…This paper develops an algorithm to solve the nonlinear problem, provides numerical analysis to illustrate the proposed solution procedure, and discusses the effects of various system parameters on the decisions and total profits. …”
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Firmware protocol stack supporting remote boot and storage volumes mapping in IP-SAN by TAN Huai-liang, YIN Bin

“…A non-routing iSCSI/TCP protocol prototype was proposed and implemented based on firmware.At the same time, several optimization algorithms were introduced to enhance the performance and reliability of remote boot, including optimistic forecast, fixed avoiding retransmit algorithm and output request suspend strategy that solved the problem of reentry. …”
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A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining by Yun Zhang, Xueming Li, Jianli Zhang, Derui Song

“…These results show that it is an effective method for carrying out the pretreatment of low-precision remote sensing images by multisource image matching algorithm with SIFT operator, geometric correction on satellite images at scarce control points, and other techniques; the result of the coastline extracted by the edge detection method based on a chromatic aberration Canny operator has a height coincident with the actual measured result; we found that the coastline length of China is predicted to increase in the future by using the grey prediction method, with the total length reaching up to 19,471,983 m by 2015.…”
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Spatiotemporal Correlation Representation based Precise Resource Management in Space-Air-Ground Integrated Network by Tianle MAI, Haipeng YAO, Xiangjun XIN, Jingkai YANG, Chenlang JIN

“…In the space-air-ground integrated network, resources are unevenly distributed and dynamically change over time.Traditional optimization scheduling methods based on static resource representation only optimize scheduling within a single time slot, leading to low resource utilization.Moreover, frequent strategy adjustments are required when the network changes, resulting in significant migration costs.To address this issue, this paper proposed a method for spatiotemporal correlation representation of resources in the space-air-ground integrated network.This method computed node attention representations in both structural neighborhoods and chronological neighborhoods, enabled precise modeling of spatiotemporal resource correlations in the space-air-ground integrated network.Based on this, this paper proposed a resource precise embedding method based on spatiotemporal correlation representation, and introduced the trust region policy optimization method to adaptively learn and optimize algorithm parameters.…”
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Two-step ranging based on energy detection for IR-UWB sensor networks by ZHANG Ting-ting1, ZHANG Qin-yu2, ZHANG Nai-tong1

“…In order to design a low computational and cost ranging method for the IR-UWB （impulse radio ultra wideband） wireless sensor network, a two-step DP （direct path） component TOA （time of arrival） estimation algorithm based on energy detection was proposed. The first step was to determine DP energy block in which located by GLRT （generalized likelihood ratio test）. …”
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Analysis and Simulation of Collaborative Space of the Dual Arm 6R Service Robot by Li Xianhua, Sun Qing, Fan Kaijie, Zhang Leigang

“…Finally,the MATLAB toolbox is used to build the simulation platform and the algorithm is written to verify the correctness of the above analysis,and the foundation for the follow-up coordinated operation and trajectory planning is laid.…”
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Heterogeneous multi-layer mobile edge computing for 6G by Pengfei WANG, Boya DI, Lingyang SONG, Zhu HAN

“…With the development of the Internet of things,multiple real-time applications will emerge in future 6G communication network.Driven by demands on low-latency services of multiple real-time applications,mobile edge computing (MEC) will become an important technology to improve the user experience and reduce the network cost.However,the computing capacity of a single MEC server is limited,which induces that it is difficult to meet the low-latency requirement of data processing for the computation-intensive applications.A heterogeneous multi-layer mobile edge computing (HetMEC) network architecture was proposed to jointly utilize the computing and transmission resources of both the cloud computing center and multi-layer MEC servers.By reasonably dividing and offloading computing tasks,reliable and efficient computing services were provided for edge applications.Simulation results show that the proposed algorithm could effectively reduce the processing latency,improve the network processing rate and robustness.…”
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SOME PROBLEMS OF STUDENT INDIVIDUAL WORK ORGANIZATION AT TECHNICAL UNIVERSITY by I. O. LEUSHIN, I. V. LEUSHINA

“…Among them the authors mark out the discrepancy between the traditional interpretation of a term “student individual work” by the academic community and its treatment by the Ministry of Education and Science of the Russian Federation, the low students’ motivation to individual work, the lack of a clear selection algorithm of certain forms and methods of individual work that have already proved their efficiency and understandable for lecturers, university teachers’ disregard to different levels of students’ preparedness to self- dependent work. …”
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Self-adaptive price adjustment strategy based on market mechanism in distributed environment by Chang-song DING, Zhi-ying WANG, Zhi-gang HU

“…The theoretical ana is proved the effectiveness of the pricing strategy, and the algorithm of the pricing strategy was designed. Resources information in the real distributed systems was used as the performance parameters of experimental node in the sim lation experiments, and the performance of the adaptive pricing strategy was tested in a large-scale grid mission. …”
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Application of Bistable Stochastic Resonance based on VMD in Early Fault Detection of Rolling Bearing by Wang Zhixia, Guo Li, Cheng Qianqian

“…The reconstructed signal is inputted into the stochastic resonance system,and the system structure parameters are optimized by the quantum particle swarm algorithm with the objective function of the improved weighted kurtosisso as to get the best resonance output,thus realizing the signal de-noising and enhance the fault feature. …”
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Blind estimation of pseudo-random codes in non-periodic long code direct-sequence spread-spectrum signals by HAOZhi-jin Z, UXiao-wei G, HENLei S, HANYi Z

“…The existence of common peaks in triple correlation functions of different m-sequences is proven based on the detail study of the characteristics of triple correlation functions of m-sequences,the features of common peaks and the direct relationship between common peak coordinates and the primitive polynomials of m-sequences are deduced.An es-timation algorithm of pseudo-random (PN) codes in non-periodic long code direct-sequence spread-spectrum (NPLC-DSSS) signals is proposed based on the above theories.Simulations under additive white Gaussian noise show that the probability of spreading code and scrambling code being both correctly estimated can reach 99% when the signal with a quarter of the cycle length of the long PN code is used only and the signal-to-noise ratio is greater than 4dB.…”
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Vector Bond Graph Method for the Computer Modeling and Kineto-static Analysis of a Single-DOF Double Crank Six-bar Press Mechanism by Wang Zhongshuang, Yin Jiuzheng, Gao Mengqi

“…By the corresponding algorithm， the computer modeling and kineto-static analysis of a single-DOF double crank six-bar press mechanism is realized， the effect of the pulse working resistance on mechanism driving moment and joint constraint force is analyzed， and the reliability and validity of the procedure proposed is illustrated.…”
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Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems by Oluyemi Oyeniran, Hanfeng Chen

“…The nonparametric likelihood is proposed to be restricted to multinomial models and an EM algorithm is also developed to approximate the estimate of π0. …”
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Hiss noise reduction method used for audio signals based on AAC bit-stream by Feng DENG, Chang-chun BAO, Feng BAO

“…A hiss noise reduction method used for audio signals based on AAC bit-stream in compressed domain was proposed.The input was AAC bit-stream derived from noisy audio signals,and the output was the enhanced AAC bit-stream used for decoder.First,Hiss noise was estimated by modified median absolute deviation (MMAD).Second,the auditory masking threshold and the masking parameters were calculated by modified discrete Flourier transform (MDFT).Finally,the parametric soft-thresholding method was employed to obtain the enhanced AAC bit-stream which was used to get the enhanced audio signals at AAC decoder.The objective and subjective quality testing results indicate that the proposed algorithm can effectively remove the Hiss noise derived from AAC bit-stream of audio signals and ob-viously outperforms the existing hiss noise reduction methods.…”
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Faster R-CNN and 3D reconstruction for handling tasks implementing a Scara robot by Julian Herrera-Benavidez, Cesar Pachón-Suescún, Robinson Jimenez-Moreno

“…This paper presents the design and results of using a deep learning algorithm for robotic manipulation in object handling tasks in a virtual industrial environment. …”
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Elementi di interfaccia per l’analisi di strutture murarie by Elio Sacco, Jessica Toti

“…Some numerical applications are performed in order to assess the performances of the proposed model and algorithm in reproducing the nonlinear response of masonry material due to damage localization. …”
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