MODELING AND SIMULATION OF COAL-ROCK RECOGNITION SYSTEM OF SHEARER BASED ON CYBER-PHYSICAL SYSTEM (MT) by ZHAO LiJuan, SI HuanHuan, SHI Lei, JIN Xin, ZHANG MeiChen

“…The overall simulation of the system was carried out, the experimental data was extracted from the physical prototype system, and the information processing system model was constructed based on the wavelet packet feature extraction and the PSO-BP neural network algorithm. Through the joint simulation of Ptolemy II and Matlab, the reliability of the CPS-based coal-rock identification system is verified.The simulation results show that the average error value of the system co-simulation is larger than the result obtained by the single method simulation, the maximum error is 0.027 924, and the error is still within the allowable range. …”
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PV Power-Generation System with a Phase-Shift PWM Technique for High Step-Up Voltage Applications by Cheng-Tao Tsai, Sin-Hua Chen

“…In order to draw a maximum power from PV arrays source, a microcontroller is incorporated with the perturbation and observation method to implement maximum power point tracking (MPPT) algorithm and power regulating scheme. In this study, a full load power of 300 W prototype has been built. …”
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Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…We designed a detection algorithm using trend data to validate our clustering method, thereby enhancing the accuracy of the analysis of tonal ranges and potential models. …”
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Consumption Reduction Solution of TV News Broadcast System Based on Wireless Communication Network by Haifeng Qiang

“…Hardware codec technology significantly reduces the consumption of system resources; H.264 high-compression algorithm can reduce network bandwidth by 50% compared with MPEG-2 and MPEG-4 without a significant change in image quality. …”
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Fault Frequency Identification of Rolling Bearing Using Reinforced Ensemble Local Mean Decomposition by Bo Qin, Quanyi Luo, Juanjuan Zhang, Zixian Li, Yan Qin

“…In this way, principal frequency components related to rolling bearing failure can be identified with the fast spectral kurtosis algorithm. Finally, the efficacy of the proposed approach is verified through both a benchmark case and a practical platform. …”
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Routing in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN): A Survey by Vinay Kumar, Sudarshan Tiwari

“…We have also presented the taxonomy of routing requirement; parameter for evaluating routing algorithm, and it was found that the routing protocol has its own advantages depending upon the application where it is used.…”
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Features of financial analysis in the environmental organization LLC «LEMVA» by E. A. Kirova, A. A. Kurchenko

“…The tasks solved in the article include: determining the factors that define the features of the financial analysis of an enterprise in the environmental sector, developing and testing the author’s algorithm for the financial analysis of the enterprise, identifying the problems of the financial situation of the company and developing recommendations for conducting a qualitative financial analysis of an environmental enterprise. …”
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DropBlock based bimodal hybrid neural network for wireless communication modulation recognition by Yan GAO, Jian SHI, Shengyu MA, Bolin MA, Guangxue YUE

“…As an intermediate step of signal detection and demodulation, automatic modulation recognition played a momentous role in wireless communication system.Aiming at the low recognition accuracy of existing automatic modulation recognition methods, a bimodal hybrid neural network (BHNN) was proposed, which utilized complementary gain information contained in multiple modes to enrich feature dimensions.The improved residual network was connected in parallel with the bidirectional gated loop unit to construct a bimodal hybrid neural network model, and the spatial and temporal features of the signal were extracted respectively.The DropBlock regularization algorithm was introduced to effectively suppress the influence of over fitting, gradient disappearance and gradient explosion on the recognition accuracy in the process of network training.Using bimodal data input, the spatial and temporal characteristics of signals were fully utilized, and the network depth was reduced through parallel connection.The model convergence was accelerated, and the recognition accuracy of modulated signals was improved.In order to verify the effectiveness of the model, two public datasets were used to simulate the model.The results show that BHNN has high recognition accuracy and strong stability on the two datasets, and the recognition accuracy can reach 89% and 93.63% respectively under high signal-to-noise ratio.…”
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Crowd-based collaboration caching mechanism in smart identifier network by Haifeng LI, Wei QUAN, Nan CHENG, Hongke ZHANG, Xuemin SHEN

“…Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.…”
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Data Fusion for Electromagnetic and Electrical Resistive Tomography Based on Maximum Likelihood by Sven Nordebo, Mats Gustafsson, Therese Sjöden, Francesco Soldovieri

“…In this paper, a proper scalar product is defined for the measurements and a truncated Singular Value Decomposition (SVD) based algorithm is devised which combines the measurement data of the two imaging modalities in a way that is optimal in the sense of maximum likelihood. …”
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Quality-of-Service Routing Using Path and Power Aware Techniques in Mobile Ad Hoc Networks by R. Asokan, A. M. Natarajan, C. Venkatesh

“…The main objective of this paper is to enhance the QoS routing for MANET using temporally ordered routing algorithm (TORA) with self-healing and optimized routing techniques (SHORT). …”
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Model of three-way decision based on the space of set pair information granule and its application by Chun-ying ZHANG, Li-ya WANG, Ming-xia LI, Bao-xiang LIU

“…Through the analysis of the existing theory and method of three-way decision,model of three-way decision based on the space of set pair information granule was proposed,which was to explain the intension and extension of three-way decision on the view of unity of opposites.Firstly the space structure of set pair information granule can be di-vided into positive granule,negative granule,different granule,which were similar and slightly different with three re-gions of generalized three-way decision.The three kinds of information granules in set pair information granule space were built based on certain positive degree,negative degree and different degree.Secondly,according to the given threshold,set pair information granule is divided into mutually disjointing positive region,negative region and different region.Based on these three regions,the computing method of decision loss function is put forward,and the process of decision-making algorithm is obtained use the three-way decision method of set pair information granule space to evalu-ate and make decision on risk investment,then good decision results have been achieved.…”
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Limited-Stop High-Frequency Service Design: Reducing In-Vehicle Congestion by Andrés Felipe García Albarracín, Daniel Jaramillo-Ramírez

“…Given a fixed-size fleet (fixed costs) and a fixed demand on a very high-frequency bus corridor, we propose an algorithm to minimize the peak load profile, combining the usual All-Stop (AS) and one additional LS service, finding the set of stops for the LS service and the fleet split. …”
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Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle by Mei Xiao, Ying Zhang, Haiming Wang, Lei Zhang

“…The influence of the algorithm parameters on detection precision is also analyzed.…”
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A Vibration Reliability Analysis Method for the Uncertain Space Beam Structure by Yanyu Mo, Shuxiang Guo, Cheng Tang

“…Then an optimization algorithm is introduced to verify the validity of the former frequency analysis method. …”
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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

“…For DenseNet, we use 121, 169, and 201 layers; meanwhile, we only use the baseline algorithm for EfficientNet. The dataset for research is randomly taken from marine fauna forums on the internet. …”
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Effectiveness of the Spatial Domain Techniques in Digital Image Steganography by Rosshini Selvamani, Yusliza Yusoff

“…The purpose of this research is to determine the best and most effective algorithm among the three competitive spatial domain algorithms, which are Least Significant Bit (LSB), Optimum Pixel Adjustment Procedure (OPAP), and Pixel Value Differencing (PVD) which in regard demonstrated the efficacy of spatial domain algorithms. …”
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Automatic 4-mirrors system for alignment of high-power laser radiation by V.V. Toporovsky, A.G. Alexandrov, I.V. Galaktionov, A.L. Rukosuev, A.V. Kudryashov

“…The successive approximation algorithm was used to minimize the beam deflection. …”
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User Segmentation Based on Purchasing Habits and Preferences on the Amazon Platform Using K-Means Clustering by Al Isra Denk Rimakka, Rezty Amalia Aras

“…The research process involves Knowledge Data Discovery (KDD) stages, including data processing, attribute selection, and applying the K-Means Clustering algorithm. The analysis results reveal five distinct user clusters, each with unique characteristics reflecting user behavior and preferences. …”
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Robust Distributed H∞ Filtering for Nonlinear Systems with Sensor Saturations and Fractional Uncertainties with Digital Simulation by Dong Liu, Guangfu Tang, Zhiyuan He, Yan Zhao, Hui Pang

“…A sufficient condition is derived for the filtering error system to reach the required H∞ performance in terms of recursive linear matrix inequality method. An iterative algorithm is then proposed to obtain the filter parameters recursively by solving the corresponding linear matrix inequality. …”
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