Gearbox Fault Diagnosis based on Time-frequency Combination Feature Extraction and Manifold Learning of MS-LTSA by Lingjun Xiao, Lü Yong, Rui Yuan

“…Then，the singular values of high-dimensional feature vectors are extracted and the singular value matrix is denoised by manifold learning theory. Finally，an efficient and accurate fault identification of the gearbox is realized by the feature vector after noise reduction. …”
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Research on Mechanical Response of Pavement Structure to Differential Settlement of Subgrade on Highway Widening by Quanjun Shen, Yu Lu, Yaohui Yang, Guanxu Long

“…By applying differential settlement at the bottom of the pavement, the mechanical response of the pavement structure is analysed. Finally, the differential settlement control standard indicated by crack strength is proposed. …”
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A Novel Deployment Method for Communication-Intensive Applications in Service Clouds by Chuanchang Liu, Jingqi Yang

“…Secondly, in the online-deployment algorithm and the offline-deployment algorithm, service instances were deployed in an optimal cloud node based on the communication overhead which is determined by the communication traffic between services, as well as the communication performance between cloud nodes. Finally, the experimental results demonstrated that the proposed methods deployed communication-intensive applications effectively with lower latency and lower load compared with existing algorithms.…”
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Carbon-free Car Structure and Trajectory Simulation Design for Clocking the "Long March" Route by Zhou Yanbo, Luo Qiang, Zhang Yiwei, Wang Jingyu, Feng Qin, Wang Yingsheng

“…Combined the with laser dot fine-tuning mechanism, the SolidWorks reverse modeling method is used innovatively, the arc cam steering mechanism is designed, to improve the accuracy and repeatability of the car running trajectory. Finally, SoildWorks is used to establish a three-dimensional model of the carbon-free car and analyze its structure. …”
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Design and Research of an Eight-bar Back Lifting Mechanism with Single Degree of Freedom by Sun Xuebin, Yu Chengtao, Pan Ao, Gu Cheng, Huang Guangming

“…Furthermore, according to the optimized result, the 3D model of the mechanism is built using the SolidWorks, and the rationality of the mechanism strength is verified by the joint simulation of Adams and Workbench. Finally, a prototype is built to verify the feasibility of the mechanism.…”
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A lightweight privacy-preserving truth discovery mechanism for IoT by Yingjie HE, Qiwei LI, Han SUN, Di GAO, Jianfeng DONG, Shuhua YANG

“…In order to solve diverse quality and privacy leakage of perceived data in fog-cloud integrated internet of things (IoT), a streaming encryption-based privacy-preserving truth discovery mechanism for IoT was proposed.Firstly, by utilizing shuffling and streaming encryption algorithms, the ground truths and the weights were anonymously updated on the cloud server and fog server, respectively, so that the collusion attacks between malicious attackers and cloud or fog servers could be resisted to defend against privacy leakage of IoT devices.Secondly, by adopting the Softmax function, the device weights were calculated on fog server, which reduces the error rate for calculating the ground truths.Finally, the theoretical analysis proved that the mechanism could protect privacy of the devices.And, the experimental results demonstrate that the proposed mechanism is an effective privacy-preserving trust discovery mechanism for large-scale IoT devices, which can outperform existing ones in computing efficiency.…”
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Stochastic Portfolio Selection Problem with Reliability Criteria by Xiangsong Meng, Lixing Yang

“…A genetic algorithm with a polishing strategy is designed to search for the approximate optimal solutions of the proposed models. Finally, a series of numerical experiments are implemented to demonstrate the effectiveness and performance of the proposed approaches.…”
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A Combined Clearing Model of Electric Energy, Inertia, and Primary Frequency Regulation Considering Emergency Interruptible Load Service by ZHU Lan, ZHANG Xuehan, TANG Longjun, QIU Nianhang, TIAN Yingjie

“…Then, the model is transformed into a mixed integer second-order cone programming model for optimization. Finally, the effectiveness of the model is verified based on a numerical example, and the influence of the frequency safety constraints on the system clearing results is discussed.…”
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A tensor compression algorithm using Tucker decomposition and dictionary dimensionality reduction by Chenquan Gan, Junwei Mao, Zufan Zhang, Qingyi Zhu

“…In addition, the dimensionality of the input tensor is reduced by using the concentrated dictionary learning. Finally, some experiments show that, compared with other algorithms, the proposed algorithm has obvious advantages in preserving the original data information and denoising ability.…”
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Principle and Error Analysis of Non-circular Steel Belt Transmission by Deng Xu, Yuan Ye, Zhang Kai, Wu Qingwen

“…Then, a finite element simulation is used to simulate the steel belt transmission, and the effects of local plastic bending of the steel belt and stress concentration at the screw hole on the theoretical transmission ratio are analyzed. Finally, the error analysis of the experimental data of the flexible base is carried out, and the comparison of the experimental data and the simulation data shows that the two have a good agreement. …”
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An Approximation of Minimum Initial Capital of Investment Discrete Time Surplus Process with Weibull Distribution in a Reinsurance Company by Soontorn Boonta, Somchit Boonthiem

“…Second, we approximate the minimum initial capital (MIC) a reinsurance company has to hold under a given ruin probability (insolvency probability) by using parameters from the first part. Finally, we show MIC with varying the premium rate.…”
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Ant-Based Swarm Algorithm for Charging Coordination of Electric Vehicles by Shaolun Xu, Donghan Feng, Zheng Yan, Liang Zhang, Naihu Li, Lei Jing, Jianhui Wang

“…The load fluctuation and the transformer capacity are also considered in the algorithm. Finally, the charging coordination of 500 EVs under a 12.47 KV transformer is simulated to demonstrate the validity of the proposed method.…”
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Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion by Hongmei Chen, Yuanhang Zhang

“…The vehicle routing problem model and “key point updating strategy” are employed to plan routes with real-time traffic information. Finally, we conduct an empirical study to validate our conclusions. …”
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Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM by Huang Ying, Li Ximei, Ye Renhu, Wang Rui

“…Then the genetic algorithm is used to optimize the least squares support vector machine (LSSVM). Finally, the feature vector is input into GOLSSVM to classify the fault features. …”
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Del papel en blanco y negro al Do it yourself digital. La evolución de la prensa graffitera en Madrid by Celeste Martín-Juan

“…This scene of muralism in Madrid, linked to Hip Hop culture as its branch of aesthetic expression, serves as a case study to observe the evolution of the Spanish specialized press: from the beginnings of the photocopied fanzine; going through the press of specialized stores; until the moment it hits the newsstands; and, finally, the impact of new digital formats.…”
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Infância e errância: imagens da criança abandonada na ficção brasileira by Licia Soares de Souza

“…Then, we investigate the children in City of God , by Paulo Lins, whose innocence is underm ined by the power of drug dealers such as Zé Miúdo/Pequeno. Finally, we conclude that Amado‟s work indicates the anomalies of a society of exclusion that allows children to be abandoned in the streets, as if he was predicting that this situation would get worse if the country did not apply policies of inclusion with revenue sharing, aiming at the quality of life of the population.…”
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Short-Term Prediction of Electronic Transformer Error Based on Intelligent Algorithms by Yuanyu Ye, Aichao Yang, Yu Wu, Chen Hu, Min Li, Yan Li, Xiaosong Deng

“…Then, the data fitting and short-term prediction of electronic transformer error are made on the basis of the backpropagation neural network and the Prophet model, and the fitting and prediction results of the two methods are compared and analysed in combination with four evaluation indexes. Finally, the Prophet model is adopted to simulate the development trend and periodic fluctuation of error, and the reason for fluctuation is analysed. …”
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A Modified Transfer Matrix Method for Modal Analysis of Stepped Rotor Assembly Applied in the Turbomolecular Pump by Yiming Zhang, Jiqiang Tang, Tong Wen

“…Next, the conicities of conical segments are analyzed and relations between conicities and dimensions of the rotor are discovered. Finally, the stiffness factors which can describe the effects of different assembling modes are introduced and optimized. …”
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New Conflicts, New Orientalists: How Military Theorists Reproduced Orientalism in Twenty-First Century by Hasan Deniz Pekşen

“…Then, to make the comparison, neo-orientalist theses regarding the continuity of colonialist and Euro-Centric perspectives are examined. Finally, selected texts and expressions from Counterinsurgency and Fourth Generation Warfare literatures are analyzed. …”
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改进MOMEDA方法及其在滚动轴承故障特征增强中的应用 by 陈丙炎, 宋冬利, 张卫华, 程尧

“…Aiming at the shortcomings of multipoint optimal minimum entropy deconvolution adjusted（ MOMEDA） method,which cannot automatically identify the fault impulse period and shorten the length of deconvolved signal when enhancing bearing fault features,an improved MOMEDA（ IMOMEDA） method is proposed.The autocorrelation spectrum of square envelope of the vibration signal is used to adaptively identify the fault period,and the estimated impulse period is used to deconvolve the vibration signal to enhance the periodic impulse features.Then the signal waveform extension method is used to extend the deconvolved signal to make its length consistent with the original signal.Finally,the obtained filtered signal is deconvolved for a certain number of times to effectively enhance the periodic features of the original signal.The analysis results of simulated bearing fault signal and railway bearing experiment signals and the comparisons with Kurtogram method show that the improved MOMEDA method can automatically identify the fault impulse period and effectively enhance the fault characteristics of rolling bearing.…”
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