Interaction Design of Educational App Based on Collaborative Filtering Recommendation by Ying Xu, Tse-Kian Neo, Hin Hew Soon

“…Simultaneously, this paper combines user activity, item popularity, and time factors to comprehensively measure user visibility of items and incorporates them into the collaborative filtering recommendation algorithm in order to effectively mitigate the effects of data sparsity and user selection bias and improve recommendation results.…”
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Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis by Tong Chen, Xinyu Chen, Daoli Lu, Bin Chen

“…The results evaluated by canonical discriminant analysis (CDA) algorithm indicated that the HOG-MPCA-CDA model was feasible to discriminate the canola oil adulterated with other oils and to precisely classify different levels of each adulterant oil. …”
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Multi-stage hashing network storage structure for intelligent routing by Feng ZHU, Qun HUANG

“…Network data collection and storage are fundamental for intelligent routing control,providing massive flow data for model training and decision-making.However,as the key device in network storage system,switches have very limited memory size and design flexibility,which can’t satisfy the needs of intelligent routing control for comprehensive high-precision data and lightweight storage system,thus reducing the effectiveness of intelligent routing control.A multi-stage hashing network storage structure (MHNSS) was proposed for intelligent routing control,which fully utilized the limited memory resource of switch and completed network data storage with low collision rate.The number of candidate buckets of the flow key was augmented by multi-stage hash table,thus reducing collision rate and improving memory load ratio.Hash collision was resolved via coarse-grained timestamp LRU algorithm,which always stored most recently used data and cleared least recently used data to avoid subsequent collisions as far as possible.Trace-driven experiments showed that compared with widely used single hash table,MHNSS had significant performance advantage in collision rate and load ratio.…”
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INVESTIGATION ON FINITE ELEMENT MODELING METHOD OF WITH TRIPLE JUNCTION POLYCRYSTALLINE INTERGRANULAR FRACTURE by SHI JunLin, ZHAO JianPing

“…Cohesive zone model was used to simulate polycrystalline intergranular fracture at the grain level model,the finite element model build-ing reflected the actual situation is a difficult point.In this paper,Mixed Programming of Matlab,Python and Abaqus,An algorithm was presented which can easily and quickly generated Voronoi geometric model and the grain sizes distribution agrees with lognormal distribution.Realized the automatically insert the zero-thickness cohesive interface element by writing nodes and elements at crystal boundary,firstly solved the void zone at the intersection of the three zerothickness cohesive element,which is the triple junction,And to make up the defect of cohesive zone model.The whole process of the finite element analysis was performed automatically by secondary development,including the assignation material properties,material orientation,load application,model solution.Finally,polycrystalline aluminum was used as an example to simulate the intergranular fracture process without the initial damage.The results show that the method is more effectively and practically,which can be used to simulate polycrystalline intergranular crack initiation and propagation in random microscopic grains.…”
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Study on Nonlinear Dynamics Characteristic of Two-stage Planetary Gear Train by Xiaolu Leng, Xiaosun Wang, Chongshan Lu, Shijing Wu

“…Through comprehensive use of phase trajectory， Poincare section and Lyapunov index spectrum， and the system correlation dimension is obtained by the G-P algorithm. The nonlinear dynamics characteristic of two-stage planetary system is studied from the perspective of qualitative and quantitative， the influence of chaotic frequency， into the way of chaos and backlash of two-stage planetary system on the nonlinear characteristics of two-stage planetary gear train is obtained. …”
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Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction by Jaesung Lee, Dae-Won Kim

“…To obtain a model within an acceptable computational cost that is restricted by practical constraints, the learning algorithm may need to identify essential data that carries important knowledge on the relation between the observed features representing the measurement value and labels encoding the multiple target concepts. …”
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Fault diagnosis method of timing signal based on Nadam-TimeGAN and XGBoost by HEI Xinhong, GAO Miao, ZHANG Kuan, FEI Rong, QIU Yuan, JI Wenjiang

“…The Nadam optimization algorithm was used to optimize the components of the TimeGAN model, that was, the Nadam-TimeGAN model was constructed for data expansion. …”
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A Superposition Based Diffraction Technique to Study Site Effects in Earthquake Engineering by Juan Gomez, Juan Jaramillo, Mario Saenz, Juan Vergara

“…A detailed, step-by-step algorithm to apply the method is presented with regard to the simple problem of scattering by a V-shaped canyon. …”
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Routing and Clustering of Sensor Nodes in the Honeycomb Architecture by Amine Rais, Khalid Bouragba, Mohammed Ouzzif

“…In this article, we choose to use a hybrid routing protocol named Efficient Honeycomb Clustering Algorithm (EHCA), which is at the same time hierarchical and geographical protocol by using honeycomb clustering. …”
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Comparing the Linear and Quadratic Discriminant Analysis of Diabetes Disease Classification Based on Data Multicollinearity by Autcha Araveeporn

“…However, the MVE and t-distribution methods focus on the resampling algorithm, a reliable tool for high resistance. This paper starts by explaining the concepts of linear and quadratic discriminant analysis and then presents the four other methods used to create the decision boundary. …”
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A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning. by Yan Feng Zhao, Jun Kit Chaw, Mei Choo Ang, Yiqi Tew, Xiao Yang Shi, Lin Liu, Xiang Cheng

“…It employed ten tricks to enhance the proximal policy optimization (PPO) algorithm, improving training efficiency. Additionally, a dual safety mechanism of 'proactive guidance + reactive correction' was introduced to reduce the risks of hyperglycemia and hypoglycemia and to prevent emergencies. …”
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Efficient secure federated learning aggregation framework based on homomorphic encryption by Shengxing YU, Zhong CHEN

“…In order to solve the problems of data security and communication overhead in federated learning, an efficient and secure federated aggregation framework based on homomorphic encryption was proposed.In the process of federated learning, the privacy and security issues of user data need to be solved urgently.However, the computational cost and communication overhead caused by the encryption scheme would affect the training efficiency.Firstly, in the case of protecting data security and ensuring training efficiency, the Top-K gradient selection method was used to screen model gradients, reducing the number of gradients that need to be uploaded.A candidate quantization protocol suitable for multi-edge terminals and a secure candidate index merging algorithm were proposed to further reduce communication overhead and accelerate homomorphic encryption calculations.Secondly, since model parameters of each layer of neural networks had characteristics of the Gaussian distribution, the selected model gradients were clipped and quantized, and the gradient unsigned quantization protocol was adopted to speed up the homomorphic encryption calculation.Finally, the experimental results show that in the federated learning scenario, the proposed framework can protect data privacy, and has high accuracy and efficient performance.…”
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Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking by Kejun Sheng, Ziyang Xing

“…Experimental results have shown that the proposed algorithm has fast convergence, strong applicability, and can achieve reliable and efficient data transmission while meeting the requirements of higher priority data transmission. …”
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Optimal dispatch method of virtual power plant considering electric vehicle V2G under the low carbon target by YU Zhuo, MEN Jinbao, WANG Jun, LYU Hai, OUYANG Hong

“…The model was solved by particle swarm optimization algorithm. Imental analysis based on example model combined with real vas conducted. …”
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VIBRATION FATIGUE ANALYSIS AND OPTIMAL DESIGN OF ALTERNATOR BRACKET by LU Jian, ZHONG ZiFeng

“…Thirdly, the alternator bracket was optimal designed by adopting large scale generalized reduced gradient algorithm, it can meet fatigue and strength performance requirements after optimization. …”
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Network and Agent Dynamics with Evolving Protection against Systemic Risk by Chulwook Park

“…In this paper, we show how to construct a large variety of behaviors by applying a simple algorithm to networked agents, which could, conceivably, offer a straightforward way out of the complexity. …”
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An Artistic Image Fusion Method with Improved Cartoon-Texture Decomposition by Zhou Meng

“…According to the oscillation component’s strong repetitiveness and structural directionality, the image texture part is filtered by combining the improved directional diffusion algorithm. Using the sparse coefficients of the fused cartoon component and the sparse coefficients of the texture component, the cartoon and texture of the image is inverse transformed and weighted and summed to obtain the recovered image after fusion. …”
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Interoperability of Multimedia Network Public Opinion Knowledge Base Group Based on Multisource Text Mining by Yanru Zhu

“…The results of the case analysis show that the multisource text mining algorithm can provide a strong basis for the construction of a multimedia network public opinion knowledge base group.…”
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Application Effect Analysis of the Mie Scattering Theory Based on Big Data Analysis Technology in the Optical Scattering Direction by Suting Chen

“…Under the assumed mathematical model of bubble group scattering, the scattered light intensity of wake can be measured experimentally, and then, the velocity, diameter, and density distribution of the bubble group can be calculated by using the mathematical inversion algorithm. The experimental results show that the diameter of the main bubbles in the bubble group is about 240, accounting for about 50% of the whole bubble group in number, the bubbles with a diameter of about 140 account for 24% of the whole bubble group, and the bubbles with a diameter of about 350 account for 24% of the whole bubble group. …”
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Muscle Strength Weighting Based on Deep Learning and Wavelet Packet and Muscle Fatigue Analysis Based on L-Z Complexity by Zhizhong Liu

“…The wavelet packet weighting algorithm makes the muscle strength and the weight-bearing well in line with the linear relationship, and the application of muscle strength map can better reflect the load of muscle. …”
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