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| 1 | On Definition of Geograghic Variable Scaling显示文摘According to the description effect range, the method of scaling system in cartography is with the precision of four grades: nominal scaling, ordinal scaling, interval scaling and ratio scaling. The authors have researched their innate character and inherent relations. The essence of evaluation partialordering set (A, ≤) is the mapping of evaluation object (X, ≤) under fixed condition. The collection and classification of x_i∈X corresponds how to express A_ j ∈A, i.e.,x_i∈Xf(x_ i )=A_ j ∈A, A_ j is the image of x_ i under mapping f. The function relation between evaluation partial-ordering set (A, ≤) and evaluation object (X, ≤) is decided by the space character and the way of collection and classification. The different space character and way of collection and classification will produce the different express method and evaluation result, accordingly the authors give out the mathematical definitions for nominal scaling, ordinal scaling, interval scaling and ratio scaling respectively. These results have been proved through the examples. | ZHONG Yexun LI Zhanyuan HUANG Hu | 2006 | Geo-Spatial Information Science2006，9，2： | 3 |
| 2 | Natural thermoluminescence of fossil foraminiferals as a potential proxy for deep-sea temperature changes显示文摘Foraminiferal shells from two piston cores separately located at the Ninetyeast Ridge and the Bengal Fan of the Indian Ocean were selected and purified for measurements of natural thermoluminescence (NTL) intensity by a high precision thermoluminescence meter (RGD—3). Variations of the NTL intensity along the two core sequences both spanning the last two glacial—interglacial cycles displayed a strong, identical signal of the global ice volume cycles, which matched well with their corresponding oxygen isotope data. As higher NTL intensity occurred within interglacial periods and changes in an NTL signal were most likely influenced by the temperature of ambient seawater in which the planktonic foraminiferal shells long existed, the NTL signal could be considered as a potential proxy for orbital scale temperature changes of bottom seawater in the tropical Indian Ocean. | LIU Haisheng FANG Nianqiao HOU Shengli CHEN Yexun | 2008 | Acta Oceanologica Sinica2008，27，2： | 2 |
| 3 | Analysis of prognostic factors of endoscopic optic nerve decompression in traumatic blindness显示文摘 | Yexun Song Heqing Li Yanhong Ma Wei Li Xiaowei Zhang Xueying Pan Guolin Tan | 2013 | Acta Oto-Laryngologica2013，，11： | 1 |
| 4 | A STUDY ON THE CARTOGRAPHIC FUZZY MATRIX MODEL AND MATHEMATICAL EXPRESSIONS OF CARTOGRAPHIC TERMS显示文摘On the basis of the research of the cartographic modelsmade by the authors some years ago,this paper further studies theestablishment of cartographic fuzzy matrix to make the concepts incartography e.g.,selection,deletion,mapping generalization andimage tranformation,into some precise mathematical expressions. | ZHONG Yexun HU Yuju | 1998 | Geo-Spatial Information Science1998，1，1： | 0 |
| 5 | A short note on fitting a single-index model with massive data显示文摘This paper studies the inference problem of index coefficient in single-index models under massive dataset.Analysis of massive dataset is challenging owing to formidable computational costs or memory requirements.A natural method is the averaging divide-and-conquer approach,which splits data into several blocks,obtains the estimators for each block and then aggregates the estimators via averaging.However,there is a restriction on the number of blocks.To overcome this limitation,this paper proposed a computationally efficient method,which only requires an initial estimator and then successively refines the estimator via multiple rounds of aggregations.The proposed estimator achieves the optimal convergence rate without any restriction on the number of blocks.We present both theoretical analysis and experiments to explore the property of the proposed method. | Rong Jiang Yexun Peng | 2023 | Statistical Theory and Related Fields2023，7，1： | 0 |
| 6 | Structure-dependent re-dispersibility of graphene oxide powders prepared by fast spray drying显示文摘The graphene oxide powder(GOP)obtained from the spray drying process often exhibits poor redispersibility which is considered due to the partial reduction of GO sheets.The reduction of drying temperature can effectively increase the redispersibility of GOP,but result in a decreased drying efficiency.Herein,we found that the redispersibility of GOP is strongly affected by its microstructure,which is determined by the feed concentration.With the increase of feed concentration,the GO nanosheet assembly varies from the disordered stacking to relatively oriented assembly,making the morphology of the GOP transform from balllike(the most crumpled one)to flakelike(the least crumpled one),and the 0.8 mgml 1 is the threshold concentration for the morphology,structure,and redispersibility change.Once the feed concentration reaches 0.8 mg ml 1,the appearance of the nematic phase in droplet ensures the relatively oriented assembly of GO sheets to form the layered structure with a low crumpling degree,which greatly improves the polar parts surface tension of the solid GOP,making the GOP easier to form hydrogen bonding with water during the redispersion process,thus stabilizing dispersion.This work provides useful information for understanding the relationships between the morphology,microstructure,and final redispersibility of GOPs. | Yexun Shi Chang Li Liming Shen Ningzhong Bao | 2021 | Chinese Journal of Chemical Engineering2021，34，4： | 0 |
| 7 | Study on Two-Tier EV Charging Station Recommendation Strategy under Multi-Factor Influence显示文摘This article aims to address the clustering effect caused by unorganized charging of electric vehicles by adopting a two-tier recommendation method.The electric vehicles(EVs)are classified into high-level alerts and general alerts based on their state of charge(SOC).EVs with high-level alerts have the most urgent charging needs,so the distance to charging stations is set as the highest priority for recommendations.For users with general alerts,a comprehensive EV charging station recommendation model is proposed,taking into account factors such as charging price,charging time,charging station preference,and distance to the charging station.Using real data from EV charging stations and ride-hailing vehicles in Xiamen City,Fujian Province,simulation analyses are conducted using Python for different periods of the day.The research results show that the stability of the multi-factor recommendation model in terms of service density variance,coverage rate,price cost,and distance cost outperform single-factor models.This indicates that our composite multi-factor recommendation model has significant practical value in resolving the clustering phenomenon caused by unorganized EV charging,optimizing the EV charging service system,and improving user satisfaction. | Miao Liu Lei Feng Yexun Yuan Ye Liu Peng Geng | 2023 | Journal on Artificial Intelligence2023，5，1： | 0 |
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