Visceral condition assessment through digital tongue image analysis by Siu Cheong Ho, Yiliang Chen, Yao Jie Xie, Wing-Fai Yeung, Shu-Cheng Chen, Jing Qin

“…We propose a novel tongue image partitioning algorithm that divides the tongue into four regions associated with these specific organs, according to TCM principles. …”
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Generating 3D Virtual Human Animation Based on Facial Expression and Human Posture Captured by Dual Cameras by Junming Wang, Xiaojie Chai, Guo Han, Jixia Wang

“…At the same time, the 3D pose fusion is realized by using the pose measurement algorithm for human motion capture. Through the test, it is found that the two fusion algorithms can meet the requirements of the static accuracy of 0.5° and the dynamic accuracy of 0°, and the three-dimensional model of a virtual human body has a good effect in data-driven animation. …”
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Research on image generation technology based on deep learning by Li Jinchen

“…Based on the above problems, this paper analyzes the methods of improving and optimizing the mainstream image generation algorithm from the perspectives of improving and optimizing the loss function, improving the space modeling, revising the structure of both the generator and discriminator, while speeding up the training process. …”
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An Orderly EV Charging Scheduling Method Based on Deep Learning in Cloud-Edge Collaborative Environment by Jiayong Zhong, Xiaofu Xiong

“…The simulation results show that the load peak-to-valley difference and standard deviation of the proposed algorithm are reduced by 30.13% and 16.94%, respectively, compared with the disorderly charging and discharging behavior, which has verified the effectiveness and feasibility of the proposed method.…”
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Optimization on Nonlinear Dynamics of Gear Rattle in Automotive Transmission System by Mingxuan Liang, Ying Wang, Tian Zhao

“…Finally, the gear backlash, equivalent mass, and rotational speed are optimized based on Kriging surrogate model (KSM) and differential evolution (DE) algorithm by taking the minimization of the maximum rattle noise as the optimal object. …”
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New method for file deduplication in cloud storage by Chao YANG, Qian JI, Si-chun XIONG, Mao-zhen LIU, Jian-feng MA, Qi JIANG, Lin BAI

“…Deduplication is widely used in cloud storage service to save bandwidth and storage resources,however,the security of client deduplication still flaws in an external attack to access a user’s private data.Xu-CDE,a deduplication solution of encrypting data for multi-client was first proposed,which could protect the privacy of data from the external attackers and honest but curious server,with favorable theoretical meaning and representativeness.However,in Xu-CDE,the user ownership authentication credentials were lack of instantaneity protection,which could not resist replay attack.As an improvement to the flaw,the protocol MRN-CDE (MLE based and random number modified client-side deduplication of encrypted data in cloud storage) was proposed,adding random number in order to ensure the instantaneity of the authentication credentials,and using the algorithm of MLE-K_Pto extract key from original file to replace the file itself as an encryption key.As a consequence,the new protocol improved security while significantly reduced the amount of computation.After the safety analysis and the actual tests,results show that based on Xu-CDE,the proposed protocol MRN-CDE has stronger security of ownership,and improves time efficiency.Specially,the new protocol works better on large files in cloud with a certain value.…”
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Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models by Jasim Ghaeb, Ibrahim Al-Naimi, Malek Alkayyali

“…In this paper, an intelligent integrated approach is proposed to control the reactive power and restore the voltage balance in a three-phase power system using particle swarm optimization (PSO), Gaussian process regression (GPR), and support vector machine (SVM). The PSO algorithm is used in offline mode to determine the optimal set of firing angles for the thyristor-controlled-reactor (TCR) compensator according to the smallest fitness value required for voltage balancing. …”
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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…Overall, the system and algorithm achievements have reference and significance for the construction of future smart classrooms.…”
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Development of Ultra-Broadband Base Station Antenna for All Mainstream LTE 700/800/900 MHz Frequency Bands by Doudou Samb, Zhonglin Wu, Mulin Liu, Hu Bin Jie

“…In the design process, rigorous algorithm based on swarm method is developed to tune the electrical performances under strict base station antenna requirements. …”
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Data-driven automated job shop scheduling optimization considering AGV obstacle avoidance by Qi Tang, Huan Wang

“…To solve the model, we design an improved particle swarm algorithm combining genetic operators, crossover operators and elite retention operator. …”
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EEG-Based Emotion Recognition with Combined Fuzzy Inference via Integrating Weighted Fuzzy Rule Inference and Interpolation by Fangyi Li, Fusheng Yu, Liang Shen, Hexi Li, Xiaonan Yang, Qiang Shen

“…This study introduces an advanced fuzzy inference algorithm for EEG data-driven emotion recognition, effectively addressing the ambiguity of emotional states. …”
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Probabilistic Error Modeling and Topology-Based Smoothing of Indoor Localization and Tracking Data, Based on the IEEE 802.15.4a Chirp Spread Spectrum Specification by Olga E. Segou, Stelios C. A. Thomopoulos

“…The application of the smoothing algorithm, however, further reduces the normalized error by a considerable amount.…”
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Deep Domain Adaptation Approach Using an Improved Parallel Residual Network for Cross-Domain Bearing Fault Diagnosis by Jiezhou Huang

“…Experimental results illustrate that the algorithm can extract domain-invariant features for different cross-domain diagnosis tasks and thus improve fault diagnosis accuracy.…”
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Reliability Evaluation of Distribution Power Systems Based on Artificial Neural Network Techniques by Mohammoud M. Hadow, Ahmed N. Abd Allah, Sazali P. Abdul karim

“…This paper presents ANN version for evaluating the reliability of distribution power systems (DPSs), in the proposed algorithm, the ANN used to predicted (RPS) using historical data method constructed according to the backpropagation learning rule. …”
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Mixed Pattern Matching-Based Traffic Abnormal Behavior Recognition by Jian Wu, Zhiming Cui, Victor S. Sheng, Yujie Shi, Pengpeng Zhao

“…It introduced the DTW distance to measure the distances between vehicle trajectories and determined the number of clusters automatically by a spectral clustering algorithm based on the distance matrix. Then, it clusters sample data points into different clusters. …”
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Design of Semantic Matching Model of Folk Music in Occupational Therapy Based on Audio Emotion Analysis by Wensi Ouyang

“…The model is based on the framework of emotional semantic matching technology and realizes the emotional semantic matching of music fragments and words through semantic emotional recognition algorithm. Multiple experiments show that when W=0.65, the recognition rate of multichannel fusion model is 88.42%, and the model can reasonably realize audio emotion analysis. …”
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End-to-end data collection strategy using mobile sink in wireless sensor networks by Xiaofeng Wu, Zhuangqi Chen, Yi Zhong, Hui Zhu, Pingjian Zhang

“…Several data collection algorithms, which are based on the combination of using mobile sinks and multiple-hop forwarding, have been proposed to prolong the network lifetime of wireless sensor networks. …”
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Color Image Segmentation Using Fuzzy C-Regression Model by Min Chen, Simone A. Ludwig

“…The results show that FCRM obtains more accurate results compared to other fuzzy clustering algorithms.…”
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Two-Step Root-MUSIC for Direction of Arrival Estimation without EVD/SVD Computation by Feng-Gang Yan, Shuai Liu, Jun Wang, Ming Jin

“…A two-step root multiple signal classification (TS-root-MUSIC) algorithm is proposed to avoid the complex EVD/SVD computation using a uniform linear array (ULA) based on a mild assumption that the number of signals is less than half that of sensors. …”
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Classification of taxes and fees as a method of systematization of environmental taxation in the russian federation by L. S. Samodelko

“…To solve one of the main tasks, namely, to form the theoretical foundations of the algorithm for monitoring and evaluating empirical data within the framework of the state’s tax policy, it is necessary to analyze scientific publications and synthesize knowledge of Russian and foreign practices in the field of environmental taxation. …”
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