Traffic scheduling method based on segment routing in software-defined networking by Qian DONG, Jun LI, Yuxiang MA, Shujun HAN

“…,reducing the number of links that could participate in flow forwarding.The performance evaluation results indicate that the proposed method can meet various demands and constraints of flows,improve network performance,and reduce the computational load of solving the problem of traffic scheduling.…”
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Traffic scheduling method based on segment routing in software-defined networking by Qian DONG, Jun LI, Yuxiang MA, Shujun HAN

“…,reducing the number of links that could participate in flow forwarding.The performance evaluation results indicate that the proposed method can meet various demands and constraints of flows,improve network performance,and reduce the computational load of solving the problem of traffic scheduling.…”
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Prospects of Improving the Vibroacoustic Method for Locating Buried Non-Metallic Pipelines by Vladimir Pshenin, Alexander Sleptsov, Leonid Dukhnevich

“…The evaluation of mathematical modeling methods for the investigated process is conducted, and the key signal attenuation relationships are presented. …”
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An Extrinsic Calibration Method for LiDAR and Camera Based on Feature Matching by CHEN Meilin, JIANG Guotao, PI Zhichao, HE Qian, TAN Bin, LUO Shuo, YANG Hailang

“…Accurate and stable extrinsic parameter calibrations offer the basis of effective multi-source information fusion. In order to improve the robustness of the perception system, this paper proposes an extrinsic calibration method for LiDAR and cameras based on feature matching. …”
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Multi-source remote sensing data for monitoring natural reserves: a case study on the Shaanxi Hanzhong crested ibis National Nature Reserve, China by Haoshan Wang, Yunwei Tang, Linhai Jing, Hui Li, Haifeng Ding, Changyong Dou

“…The paper proposes a framework to monitor human activities and evaluate habitat suitability for the Crested Ibis in the Shaanxi Hanzhong Nipponia nippon National Nature Reserve using multi-source satellite data. …”
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Assessment and enhancement of transfer capability for large-scale renewable generation base transmitted by voltage source converter based high voltage direct current system by Shiyuan Chen, Shunjiang Lin, Yuerong Yang, Kaiyun Jiang, Mingbo Liu

“…Voltage source converter based high voltage direct current transmission is a key method for transmitting large-scale renewable energy generation. …”
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Application of the thin-layer chromatography method for analysis of plant antioxidant activity by N. V. Kupaeva, E. R. Vasilevskaya, L. V. Fedulova, E. A. Kotenkova

“…Various physicochemical methods of analysis are used for evaluation of plant antioxidant activity. …”
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Taqnīn Method of Qānūn Jināyah and Problems of Its Implementation in Aceh, Indonesia by Sakhowi Sakhowi

“…This article aims to analyze the taqnīn method and the problems of implementing the Qānūn Jināyah in Aceh. …”
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Holistic assessment methodology for Positive Energy Districts by Jakub Kvasnica, Kateřina Válková

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Peculiarities of plant-based meat substitutes classification in the course of forensic commodity examination by L. Yu. Ulybina, M. V. Harbuz

“…The article describes microbiological methods of analysis that allow assessing the microbiological safety of products and identifying the risks of their consumption. …”
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Research status and prospects of Chinese medicine herb Asparagus cochinchinensis by Miao Liu, Liu Tang, Yongquan Li, Gonggu Lv, Ming-sheng Zhang

“…Discussion: The pharmacological impacts of various A. cochinchinensis origins and sources might differ, and the regulatory routes of saponins and polysaccharides, mainly responsible for these effects, remain ambiguous. …”
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A comprehensive item bank of internal validity issues of relevance to in vitro toxicology studies by Gunn E. Vist, Heather M. R. Ames, Gro H. Mathisen, Trine Husøy, Camilla Svendsen, Anna Beronius, Emma Di Consiglio, Ingrid L. Druwe, Thomas Hartung, Sebastian Hoffmann, Carlijn R. Hooijmans, Kyriaki Machera, Pilar Prieto, Joshua F. Robinson, Erwin Roggen, Andrew A. Rooney, Nicolas Roth, Eliana Spilioti, Anastasia Spyropoulou, Olga Tcheremenskaia, Emanuela Testai, Mathieu Vinken, Paul Whaley

“…The item bank and methodology for its creation presented in this manuscript are intended to be a general resource for supporting the development of appraisal tools for in vitro toxicology studies and potentially other study designs.Methods We derived the item bank from seven literature sources (one existing item bank created from a systematic review of assessment criteria for in vitro studies, and six purposively sampled study appraisal tools) and the transcripts of three focus groups. …”
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Air-side Thermal-hydraulic Analysis and Parametric Optimization for Vertical-fin Microchannel Heat Exchanger by Zhao Rijing, Wei Xinghua, Huang Dong, Li Feng, Zhao Yongfeng

“…When the comprehensive index performance evaluation criterion (Pec) was used to evaluate the performance of the VMHXs, the tube pitch and fin length were determined as the main influencing factors. …”
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The Assessment of Key Business Risks for SMEs in Slovakia and Their Comparison with other EU Countries by Mária Hudáková, Matej Masár

“…The overall research results in individual countries underline the importance of dealing with the assessment of entrepreneurial risks and their sources in SMEs. Implications & Recommendations: The owners or managers of SMEs should be able to apply the risk management process in enterprises using appropriate methods and tools to identify changes timely in case of adverse development of business environment. …”
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High Frequency Resonance Frequency Shift Method for Cable Distribution System by Mingxing ZHU, Binbin KONG, Huaying ZHANG

“…And then, based on actual project cases, the high frequency resonance suppression effects of the proposed method and its impact on the system stability are evaluated using the Bode diagram and root locus plotted with the system function, and the effectiveness of the proposed method is verified. …”
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CTA image segmentation method for intracranial aneurysms based on MGLIA net by Lijie Hou, Jian Zhang, Lihui Zhao, Ke Meng, Xin Feng

“…Currently, the segmentation methods for intracranial aneurysms using CTA big data and deep learning lack universality. …”
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Verification of the method for prediction of the equivalent level of freely flowing traffic noise by R. MAKAREWICZ, J. JARZĘCKI

“…The evaluation of the "acoustic climate" near transport routes, using the numerical method is possible only when we know the values of the parameters describing single noise sources and those of the parameters connected with the attenuating properties of the area adjacent to the route. …”
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Benchmark dataset and deep learning method for global tropical cyclone forecasting by Cheng Huang, Pan Mu, Jinglin Zhang, Sixian Chan, Shiqi Zhang, Hanting Yan, Shengyong Chen, Cong Bai

“…Comprehensive evaluations demonstrate that TCN M outperforms both existing deep learning methods and official meteorological forecasts across multiple metrics. …”
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A new method for analyzing glistenings in hydrophobic acrylic intraocular lenses by M. Canberk Göktepe, Timur M. Yildirim, Grzegorz Łabuz, Thibaut Devogelaere, Gerd U. Auffarth, Ramin Khoramnia

“…Abstract A reproducible, examiner-independent, objective method was introduced that uses swept-source optical coherence tomography (SS-OCT) and compared with established methods. …”
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Remote Sensing Drought Monitoring and Assessment in Southwestern China based on Machine Learning by Hejia JIA, Xiehui LI, Lei WANG, Yuting XUE, Huiquan LIN

“…Due to the complexity of drought and the diversity of influencing factors， the accurate monitoring of drought still faces many problems， especially the increasing frequency and aggravation of drought in Southwestern China， and the formation and disaster causing process have certain particularity.However， the traditional drought monitoring methods cannot meet the requirements of regional drought monitoring， so more scientific monitoring methods and means are needed.Since machine learning can comprehensively consider a variety of disaster causing factors to establish a comprehensive drought monitoring model， it undoubtedly provides a new technical means for drought monitoring.Therefore， this paper used multi-source remote sensing data from 2010 -2019 and meteorological station data from 1980-2019 to first construct a random forest monitoring model to reconstruct and supplement the surface temperature in Southwestern China， and then constructed XGBoost monitoring model to monitor， evaluate and validate the drought in Southwestern China.The results showed that： （1） The correlation coefficients between the training set and test set of the random forest model and the actual surface temperature of the stations exceeded 0.9， which reached a significant correlation.The spatial distribution of LST reconstruction values was similar to that of remote sensing monitoring values， and the values were close to the observed values of meteorological stations.（2） The correlation coefficients between the monitoring values of XGBoost model training set and test set and the SPEI calculated values at the stations were more than 0.86， with significant correlation.The overall consistency rate of drought grade between the monitored value and the calculated SPEI values exceeded 85%.（3） The overall consistent rate between the monitored values of the XGBoost model and the MCI values was above 67.88%， which was more consistent.The consistent rate of all months exceeded 58%， with the highest consistent rate of 75.07% in September and the lowest consistent rate of 58.26% in February.（4） The drought in each season monitored by the model was basically consistent with the actual drought， which could better reflect the spatial distribution and drought in Southwestern China.…”
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