Developing a dynamic combined power quality index for assessing the performance of a nuclear facility by Asmaa M. Elsotohy, Mohammed Hamouda Ali, Ahmed S. Adail, Ayman A. Eisa, El-said A Othman

“…The main contribution of this paper is that a single compound power quality index (CPQI) was developed based on both the dynamic weights obtained from AHP-CRITIC methods and the results of the five PQ phenomena obtained under different abnormal conditions, considering the threshold level for each of these PQ phenomena. …”
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Dynamical quantum phase transition and thermal equilibrium in the lattice Thirring model by Mari Carmen Bañuls, Krzysztof Cichy, Hao-Ti Hung, Ying-Jer Kao, C.-J. David Lin, Amit Singh

“…Moreover, in the case of the gapped quench Hamiltonian, we unveil a connection of this threshold to a transition between different regions in the finite-temperature phase diagram.…”
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基于特征评估与核主分量分析的齿轮故障分类方法 by 瞿雷, 戴光昊, 王琇峰, 沈玉娣

“…For the blindness and one-sidedness of selection and fusion of mechanical fault features without priori knowledge,a novel method of gear fault feature extraction and classification based on feature evaluation and kernel principal component analysis is presented,where the original signals are decomposed with wavelet pocket decomposition（WPD）,and the features in time domain are extracted from the original signals and each decomposed signal to compose the combined features.Furthermore,the threshold value for stability and the filtering scale factor for sensitivity are confirmed to evaluate the features by the combined method with stability and sensitivity,and the nonlinear features are extracted from the residual features by using the method of kernel principal component analysis（KPCA）to realize the classification of different fault conditions.The experimental results of gearbox demonstrate that the method integrating WPD,combined feature evaluation method and KPCA,could better extract the feature information of gear fault,remove the unstable and insensitive ones from a large number of features,and obviously improve the result of nonlinear feature extraction of gear fault for KPCA.…”
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Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach by Hongzeng He, Shufen Dai

“…The results indicate that the time-migrated DCCA ensures more relevant results than the equal-time DCCA method. An interesting finding is that the price limit has different effects on the stock market network at different stages of dynamic evolution. …”
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The Research on Risk Distribution and Evolution of Deep Foundation Pit Construction Adjacent to Existing Tunnels Based on Complex Network by Jie Jiang, Guangyang Liu, Xi Huang, Xiaoduo Ou

“…In this study, we first divide the monitoring data into time windows and describe the correlation between nonstationary time-series monitoring data within each window based on the MF-DCCA method and the threshold method, and establish the adjacency matrix to prepare for the establishment of an optimized complex network model. …”
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Validation of stool and blood analysis compared to Inv A and ttr based direct blood qPCR assay as diagnostic tools for typhoid fever by Shymaa A. Elaskary, Hanem Mohamed Badawy, Doaa S. Elgendy, Amany Mohammed Abdelmaksoud, Rasha G. Mostafa

“…While the blood-based ttr and Inv A qPCR technique showed 82% and 80% positivity, respectively, with a Ct threshold value of 37 cycles for both techniques. The stool culture method revealed S. enterica infection in only 32% of cases, while blood culture methods identified S. enterica in 48% of cases. …”
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Perceptions and electric senoidal current stimulation by Julia Manzano Pimentel, Renata Petrillo, Mirna Migliacci F. Vieira, Lydia Maria Pereira Giuliano, Carlos Julio Tierra-Criollo, Nadia Iandoli de Oliveira Braga, João Antonio Maciel Nóbrega, Gilberto Mastrocola Manzano

“…OBJECTIVE: To analyze the relationship between perceptions and electrical senoidal current stimulation (ESCS). METHOD: The study population comprise 100 healthy volunteers. …”
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Comparing Undecimated Wavelet, Nonsubsampled Contourlet and Shearlet for Sar Images Despeckling by Saeed Jafari, Sedigheh Ghofrani, M. Sheikhan

“…Bayesian shrinkage in a transformed domain is a well-known method based on finding threshold value to suppress the speckle noise. …”
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Entrepreneurship and Economic Freedom: Do Objective and Subjective Data Reflect the Same Tendencies? by Burak Erkut

“…Findings: To determine the degree of economic freedom in a country, the effective enforcement of intellectual property rights legislation and quick access to utilities are the two variables with the most informational content. 86,8% of the original grouped cases was classified correctly – this is above the widely accepted threshold of 75%. Implications & Recommendations: A new trend in entrepreneurial research is to build compound indices based on different data sources. …”
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Multiobjective Optimization of a Rotman Lens through the QLWS Minimization by Daniele Pinchera, Stefano Perna, Marco Donald Migliore

“…First, the difference between actual and desired delay among the excitations of the array elements fed by the lens needs to be lower than a given threshold. …”
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The effects of industrial noise of higher spectrum on the workers’ auditory perception abilities by Mihailović Dobrivoje, Đurić Nenad, Kovačević Ivana, Mihailović Đorđe

“…Data were statistically analyzed by establishing the significance of differences between absolute thresholds of hearing for both groups and for all nine frequency levels. …”
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Controlled Service Scheduling Scheme for User-Centric Software-Defined Network- Based Internet of Things by Mohammed Albekairi

“…Software Defined Networks (SDNs) support different applications’ data and control operations through operational plane differentiations. …”
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Distance Measurement and Error Compensation of High-Speed Coaxial Rotor Blades Based on Coded Ultrasonic Ranging by Yaohuan Lu, Shan Zhang, Wenchuan Hu, Zhen Qiu, Zurong Qiu, Yongqiang Qiu

“…The time of flight (<i>Tof</i>) of coded ultrasonic ranging is calculated by the amplitude threshold improvement method and cross-correlation method, and the sound velocity is compensated by a proposed multi-factor compensation method. …”
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A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10^-4 and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
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A Review of Health Information Behaviors of Older People from the Perspective of Topic Differentiation by Guowei GAO, Shanshan ZHANG, Jialan YU

“…[Purpose/Significance] As China enters the threshold of an aging society, the health problem of the elderly group has become the focus of attention from all walks of life. …”
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Research of the Dynamic Shift Schedule of Mining Track based on Neural Network Engine Model by Qiao Shengjie, Sun Liang, Wang Weida, Zhang Wei

“…The engine is in a dynamic state when vehicles in the starting,parking,braking and shifting.The optimal shift point is different from the ones designed in steady state. The neural network method is used to establish the dynamic model of the engine and the model is trained with the experimental data. …”
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Reliability test for frequency estimation of sinusoid based on LMP detection by UGuo-bing H, ULi-zhong X, AOAn-ping B, UShan-shan W, AOYan G

“…A reliability test method based on locally most powerful (LMP) detection was proposed to evaluate the fre-quency estimation of sinusoid.The hypothesis test was created at first,and then a reference signal was generated depend-ing on the specific frequency estimation of the sinusoid.By analysis of the parameters differences from the probability distribution characteristics of the modulus of the cumulative sum series under the different two hypotheses,the reliability test for frequency estimate of sinusoid signal was performed by the proposed LMP-based statistic and threshold.The LMP statistic and its approximated theoretical detection performance were derived .Simulation results show that the pro-posed method can be used to verify the reliability for blind frequency estimation of sinusoid at low signal-to-noise ratio.…”
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Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer by Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang

“…Throughout the forecasting process, a weighted threshold α is set, and a hybrid weighting method is utilized to combine the forecast results from different models, culminating in the final short-term load forecast results. …”
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Post-acceleration internal enhancement technology for streak camera and its nonlinear intensity correction by GU Li, YANG Fang, YANG Qinlao

“…The nonlinear sources of signal intensity on the screen are identified by the different transmittance of electrons with different directional angles, and the intensity error distribution in the imaging area and its correction methods are provided. …”
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Music Identification System Using MPEG-7 Audio Signature Descriptors by Shingchern D. You, Wei-Hwa Chen, Woei-Kae Chen

“…To deal with the problem that a piece of query audio may not be inside the system’s database, we suggest two different methods to find the decision threshold. Simulation results show that the proposed method II can achieve an accuracy of 99.4% for query inputs both inside and outside the database. …”
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