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Special Relationship among Decision Making Units based on Partially Ordered Set and New Evaluation and Projection Methods

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Journal of Systems Science and Systems Engineering 2022年第2期31卷 226-246页

作者： Muren Chang Liu Wei Cui Jinquan Dong School of Statistics Jilin University of Finance and EconomicsChangchun130117China bSchool of Management Science and Information Enginering Jilin University of Finance and EconomicsChangchun130117China cSchool of Economic and Management Inner Mongolia University of TechnologyHohhot010051China

This paper provides data envelopment analysis methods based on partially ordered set theory.These methods reveal the special relationships between two decision making units from the perspective of mathematical theory and offer the classification,projection and improvement methods of decision making units.It is proved that an efficient decision making unit must be a maximal element of the related poset,and the maximal element may not be efficient.For this,we introduce the concepts of minimum envelope and efficiency envelope which further reveal the special relationship among efficient and inefficient decision making units.Compared with the previous methods,this method not only reveals theoretically the complex relationship among decision making units and the causes of the ineffectiveness,but also gives a new importance and competitiveness measurement method to each decision making unit.Finally,related algorithm and examples are given for the application of these methods to complex decision making problems.

关键词： Data envelopment analysis partially ordered set returns to scale projection maximal element

Research opportunities arising from measurement and estimation of quantum systems

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Control Theory and Technology 2018年第3期16卷 241-243页

作者： Wei Cui School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong 510640 China

With the advancement of quantum experimental technology, quantum computing has earned many attentions and made great development. Meanwhile, quantum measurement theory [1] has become an indispensable component of it, ultimately working for the quantum state estimation. Being tools for emerging quantum computing technology,those two areas provide many research opportunities.

关键词：测量理论评价工作系统计算技术试验性研究机

Dimensionality reduction model based on integer planning for the analysis of key indicators affecting life expectancy

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Journal of Data and Information Science 2023年第4期8卷 102-124页

作者： Wei Cui Zhiqiang Xu Ren Mu School of Statistics Jilin University of Finance and EconomicsChangchunJilin 130117China

Purpose:Exploring a dimensionality reduction model that can adeptly eliminate outliers and select the appropriate number of clusters is of profound theoretical and practical importance.Additionally,the interpretability of these models presents a persistent challenge.Design/methodology/approach:This paper proposes two innovative dimensionality reduction models based on integer programming(DRMBIP).These models assess compactness through the correlation of each indicator with its class center,while separation is evaluated by the correlation between different class centers.In contrast to DRMBIP-p,the DRMBIP-v considers the threshold parameter as a variable aiming to optimally balances both compactness and separation.Findings:This study,getting data from the Global Health Observatory(GHO),investigates 141 indicators that influence life expectancy.The findings reveal that DRMBIP-p effectively reduces the dimensionality of data,ensuring compactness.It also maintains compatibility with other models.Additionally,DRMBIP-v finds the optimal result,showing exceptional separation.Visualization of the results reveals that all classes have a high compactness.Research limitations:The DRMBIP-p requires the input of the correlation threshold parameter,which plays a pivotal role in the effectiveness of the final dimensionality reduction results.In the DRMBIP-v,modifying the threshold parameter to variable potentially emphasizes either separation or compactness.This necessitates an artificial adjustment to the overflow component within the objective function.Practical implications:The DRMBIP presented in this paper is adept at uncovering the primary geometric structures within high-dimensional indicators.Validated by life expectancy data,this paper demonstrates potential to assist data miners with the reduction of data dimensions.Originality/value:To our knowledge,this is the first time that integer programming has been used to build a dimensionality reduction model with indicator filtering.It not only has applications in life expec

关键词： Integer programming Multidimensional data Dimensionality reduction Life expectancy

Targeting the Cuneiform Nucleus in Parkinson’s Disease: Option to Improve Locomotor Activity

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Neuroscience Bulletin 2022年第8期38卷 976-978页

作者： Wei Cui Bao Xue Junxia Xie Huamin Xu Department of Physiology Shandong Provincial Key Laboratory of Pathogenesis and Prevention of Neurological DisordersSchool of Basic MedicineQingdao UniversityQingdao266071China Institute of Brain Science and Disease Qingdao UniversityQingdao266071China

Parkinson's disease(PD)is characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta(SNpc),accompanied by severe locomotor deficits[1].Deep brain stimulation(DBS)mainly targeting the subthalamic nucleus and the internal segment of the globus pallidus has now been clinically used to improve the motor symptoms of PD patients.However,these targets do not relieve the serious postural instability and freezing of gait.The mesencephalic locomotor region(MLR)plays a key role in controlling locomotion[2,3].

关键词： stimulation freezing clinically

Preliminary results of the global ocean tide derived from HY-2A radar altimeter data

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Acta Oceanologica Sinica 2023年第2期42卷 65-73页

作者： Jungang Yang Yongjun Jia Chenqing Fan Wei Cui Lab of Marine Physics and Remote Sensing First Institute of OceanographyMinistry of Natural ResourcesQingdao266061China National Satellite Ocean Application Service Beijing100081China

The HY-2A satellite,which is equipped with a radar altimeter and was launched on August 16,2011,is the first Chinese marine dynamic environmental monitoring satellite.Extracting ocean tides is one of the important applications of the radar altimeter data.The radar altimeter data of the HY-2A satellite from November 1,2011 to August 16,2014 are used herein to extract global ocean tides.The constants representing the tidal constituents are extracted by HY-2A RA data with harmonic analysis based on the least squares method.Considering tide aliasing issues,the analysis of the alias periods and alias synodic periods of different tidal constituents shows that only the tidal constituents M_(2),N_(2),and K_(2)are retrieved precisely by the HY-2A RA data.The derived tidal constants of the tidal constituents M_(2),N_(2)and K_(2)are compared to those of tidal gauge data and the TPXO tide model results.The comparison between the derived results and the tidal gauge data shows that the RMSEs of the tidal amplitude and phase lag are 9.6 cm and 13.34°,2.4 cm and 10.47°,and 8.1 cm and 14.19°for tidal constituents M_(2),N_(2),and K_(2),respectively.The comparisons of the semidiurnal tides with the TPXO model results show that tidal constituents have good consistency with the TPXO model results.These findings confirm the good performance of HY-2A RA for retrieving semidiurnal tides in the global ocean.

关键词： HY-2A satellite radar altimeter ocean tide tide analysis

Experimental investigation of a gliding discharge plasma jet igniter

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Chinese Journal of Aeronautics 2022年第6期35卷 116-124页

作者： Min JIA Zhibo ZHANG Wei Cui Huimin SONG Zhangkai HUANG Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China Key Laboratory of Physical Electronics and Devices of Ministry of Education Xi’an Jiaotong UniversityXi’an 710038China

Relight of jet engines at high altitude is difficult due to the relatively low pressure and temperature of inlet air.The penetration of initial flame kernel affects the ignition probability in the turbine engine combustor greatly.In order to achieve successful ignition at high altitude,a deeper penetration of initial flame kernel should be generated.In this study,a Gliding Arc Plasma Jet Igniter(GAPJI)is designed to induce initial flame kernel with deeper penetration to achieve successful ignition at high altitude.The ignition performance of the GAPJI was demonstrated in a model combustor.It was found that GAPJI can generate plasma with deeper penetration up to 30.5 mm than spark igniter with 22.1 mm.The discharge power of GAPJI was positively correlated with flow rate of the carrier gas,approaching 200 W in average.Ignition experiments show that GAPJI has the advantage of extending the lean ignition limit.With GAPJI,the lean ignition limit of the combustor is 0.02 at 0 km,which is 55.6%less than that with spark igniter(0.045).The evolution of flame morphology was observed to explore the development of the flame kernel.It is shown that the advantage of a high penetration and continuous releasing energy can accelerate the ignition process and enhance combustion.

关键词： Gliding Arc Plasma Jet Igniter(GAPJI) Arc evolution Flame kernel Ignition process Gliding arc Lean ignition limit

WTEYE:On-chain wash trade detection and quantification for ERC20 cryptocurrencies

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Blockchain(Research and Applications) 2023年第1期4卷 1-9页

作者： Wei Cui Cunnian Gao School of Automation Science and Engineering South China University of TechnologyGuangzhou510641China Pazhou Laboratory Guangzhou510330China

Wash trade is a common form of volume manipulation used to attract investors into the market and mislead them into making wrong investment judgments.Wash trade transactions are even more prominent in ERC20 cryptocurrencies.In this paper,we proposed two kinds of algorithms to reserve direct evidence of wash trade based on the on-chain transaction data of ERC20 cryptocurrencies.After labeling the wash trade,we continued to obtain features of the wash trade and quantify the volume of the wash trade.Our experiments show that for most ERC20 cryptocurrencies,the rate of wash trade reached over 15%.Specifically,over 30%of UNI token transactions were labeled as wash trade.It is demonstrated that the activations of most ERC20 cryptocurrencies are unreal,and restoring real data is necessary for market regulation.

关键词： Wash trade ERC20 cryptocurrency Graph detection

Interfacial Chain Entanglements Induced Melt Memory Effect in Poly(ε-caprolactone)/Silica Nanocomposites

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Chinese Journal of Polymer Science 2022年第11期40卷 1451-1465页

作者： Xiang Liu Wen-Zhi cui wei Yu Advanced Rheology Institute Department of Polymer Science and EngineeringShanghai Key Laboratory of Electrical Insulation and Thermal AgeingState Key Laboratory for Metal Matrix Composite MaterialsShanghai Jiao Tong UniversityShanghai200240China

It is known that the enhanced melt memory effect is strongly correlated with the retarded chain dynamics.However,previous studies using differential scanning calorimetry(DSC)showed a weakened or even vanished melt memory in polymer nanocomposites,although adding nanoparticles in polymers often reduces chain mobility.In this work,we added two kinds of silica nanoparticles,O15 and W22 nanoparticles(with low and high surface silanol density,respectively),to poly(ε-caprolactone)(PCL),where the degree of chain entanglements near nanoparticles increases,and chain dynamics is gradually retarded with increasing silica content.The strongly aggregated W22 nanoparticles show significant heterogeneous nucleation,while well-dispersed O15 nanoparticles exhibit very weak heterogeneous nucleation.In contrast to the restrained self-nucleation effects during the rapid non-isothermal crystallization of two nanocomposites,we found evident melt memory effects during the slow isothermal crystallization in PCL/O15 nanocomposites as indicated by DSC and polarized light microscopy(PLM)measurements.The melt memory becomes stronger with more O15 nanoparticles,but depends non-monotonically on the loadings of W22 nanoparticles.The lifetime of the melt memory effects matches the chain re-entanglement time of the SN melts of nanocomposites,which is consistent with our previous work on PCL miscible blends.The complicated influence of silica on nucleation and crystal growth is induced by the spatial inhomogeneity of chain entanglements in the silica-filled PCL system.The decrease in the entanglement density of the interfacial chains in the SN melts of nanocomposites is conducive to nucleate under slow isothermal crystallization,but the chain mobility is still greatly restrained by the nanoparticles,causing the slow growth rate of spherulites and the difficulty to form nuclei under fast non-isothermal crystallization.

关键词： PCL Silica nanocomposite Self-nucleation crystallization

Distributed user pairing and effective computation offloading in aerial edge networks

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Chinese Journal of Aeronautics 2024年第4期37卷 378-390页

作者： wei LIANG Shuhui WEN Lixin LI Jingjing cui School of Electronics and Information Northwestern Polytechnical UniversityXi’an CN710072China The State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an CN710126China School of Electronics and Computer Science University of SouthamptonSouthampton SO167NSUK

Future Sixth-Generation (6G) mobile communication networks extremely require the global connectivity and the ground Base Stations (BSs) are difficult to develop in some specific areas,such as mountainous areas.Therefore,the aerial networks are the key framework for the future communications,in which the aerial vehicle could act as the access point.Additionally,Mobile Edge Computing (MEC) is also essential to enhance the data processing capabilities of aerial networks.In this paper,we study a comprehensive communication-computation resource management problem for jointly optimizing user pairing,power and time allocation in the MEC aided Cognitive Radio (CR) aerial networks,namely CR-MEC aerial networks.Explicitly,this multilevel optimization problem could be decomposed into the user pairing and power allocation as well as time allocation sub-problems.In the conceived CR-MEC aerial networks,we propose a User Pairing and Computation Offloading Management Algorithm (UPCOMA) based on three-sided matching theory,aiming to minimize the system’s energy consumption.At the first step of UPCOMA,multiple Primary Users (PUs) and Cognitive Users (CUs) on the ground negotiate to each other with the suitable power allocation coefficients and construct the stable user pairs.Moreover,the stable user pairs would match to a high altitude platform who act as the base station,which is for appropriately allocating Transmission Time Slots (TSs) at the second step of UPCOMA.Additionally,a hybrid offloading mode is proposed in our conceived networks in order to support ground users to offload their tasks adaptively according to their individual deadlines.Furthermore,the simulation results reveal that the relative performance of UPCOMA is close to that of the Brute-Force Search Algorithm (BFSA) with low complexity.Meanwhile,the hybrid offloading mode with less energy consumption supports much more ground user pairs to offload tasks compared to the binary mode.

关键词： Aerial edge computing Binary offloading Cognitive radio Hybrid offloading Resource management