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Complex conforming Delaunay triangulation

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Science china(information Sciences) 2010年第6期53卷 1130-1140页

作者： MENG XianHai 1, LI JiGang 1, yang Qin 1, CAI Qiang 2 & CHEN QiMing 3 1 NLSDE, school of computer Science and engineering, BeiHang University, Beijing 100083, china 2 school of computer Sciences, Beijing Technology and Business University, Beijing 100037, china 3 school of Mechanical engineering and Automation, BeiHang University, Beijing 100083, china NLSDE School of Computer Science and Engineering BeiHang University Beijing China school of computer Sciences Beijing Technology and Business University Beijing China school of Mechanical engineering and Automation BeiHang University Beijing China

A novel algorithm of conforming Delaunay triangulation for curved geometry is presented in the paper.A progress has been made for the problem puzzled Delaunay refinement where curved constraints cannot be accepted as input *** algorithm is based on a new sufficient condition for the existence of constraints in *** requires computing only the intersection between constraints and Voronoi edges or faces instead of the circum-sphere of curved *** the termination of the algorithm when small input angles exist in constraints, a weighted method is applied to ensure that the algorithm can terminate under any *** two-dimensional and three-dimensional results are also *** is shown that the algorithm has the capability of dealing with both linear and nonlinear constraints in a consistent way, without the need of maintaining triangular meshes on face constraints.

关键词： mesh generation Delaunay triangulation conforming curved constraints tetrahedralization weight

Power allocation scheme for selfish cooperative communications based on game theory and particle swarm optimizer

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Science china(information Sciences) 2010年第9期53卷 1908-1912页

作者： ZHANG GuoPeng1*,yang Kun2 & DING EnJie3 1school of computer Science and Technology,china University of Mining and Technology,Xuzhou 221116,china 2school of computer Science and Electronic engineering,University of Essex Wivenhoe Park,Colchester CO_4 3SQ,UK 3school of information and Electrical engineering,china University of Mining and Technology,Xuzhou 221116,china school of computer Science and Technology China University of Mining and Technology Xuzhou China school of computer Science and Electronic engineering University of Essex Wivenhoe Park Colchester UK school of information and Electrical engineering China University of Mining and Technology Xuzhou China

In commercial networks,autonomous user nodes operating on batteries are assumed to be selfish to consume their energy solely to maximize their own benefits,e.g.,data *** this letter a two-user cooperative game is proposed to perform the power allocation for selfish cooperative communication *** the game,one selfish user node could trade its transmission power for the other ones cooperative relaying directly,and both user nodes are willing to achieve an optimal data-rate increase through cooperative *** find the Nash bargaining solution(NBS) of the game,a low-complexity numerical particle swarm optimizer(PSO) algorithm is also *** results indicate that the NBS of the game is efficient,in that both users could experience better performance than they work independently,and fair,in that the degree of cooperation of a user node only depends on how much contribution its partner can make to improve its own performance.

关键词： cooperative communication power allocation game theory Nash bargaining solution particle swarm optimizer

Boost VS_(2) electrochemical reactive kinetics by regulating crystallographic planes and coupling carbon matrix for high performance sodium-ion storage

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Rare Metals 2024年第1期43卷 98-112页

作者： Min Zeng Ming-Shan Wang Lin Chen En-Zhi Li Zhen-Liang yang Dan Zhou Hai-Jiao Xie jun-Chen Chen Zhi-Yuan Ma Bing-Shu Guo Bo Yu Xing Li school of New Energy and Materials Southwest Petroleum UniversityChengdu 610500China Energy Storage Research Institute Southwest Petroleum UniversityChengdu 610500China Institute of Materials China Academy of Engineering PhysicsMianyang 621908China Beijing Advanced Innovation Center for Materials Genome engineering University of Science and TechnologyBeijingBeijing 100083China Hangzhou Yanqu information Technology Co. Ltd.Hangzhou 310003China

Vanadium disulfide(VS_(2)) as a typical two-dimensional transition metal chalcogenide has excellent competitiveness for sodium-ion storage due to its wide layer spacing(0.575 nm),high theoretical capacity of 932mAh·g^(-1) originating from multi-electron electrochemical ***,continuous sodiation process accompanied by crystal structural evolution and collapse cause rapid capacity ***,novel few-layer VS_(2)nanosheets with open(001) crystal planes are in-situ constructed on reduced graphene oxide to solve these issues mentioned *** indicates that few-layer VS_(2)provides more Na^(+) storage activity due to the low Na^(+)surface migration energy barrier on exposed crystal(001)*** flexible and high electronic conductivity of carbon matrix also effectively builds multi-level buffer structure and electron transport kinetics to boost the Na^(+)insertion/conversion reactive activity on VS_(2) as well as Na^(+) pseudocapacitance storage kinetics on edges and defects of nano *** coupling effects result in high rate capability and long cycling stability as a battery/capacitor *** delivers conspicuous high energy density of 81 and 40 Wh·kg^(-1) at power density of 118 and 10,286W·kg^(-1),as well as 80% energy retention rate after 5000cycles,confirming its great application potential in sodiumbased storage devices.

关键词： Vanadium disulfide Reduced graphene oxide Anode Sodium-ion battery Sodium-ion capacitor

Detecting malignant patients via modified boosted tree

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Science china(information Sciences) 2010年第7期53卷 1369-1378页

作者： DONG CaiLing1, YIN YiLong1 & yang XiuKun2 1school of computer Science and Technology, Shandong University, Jinan 250101, china 2College of information and Communication, Harbin engineering University, Harbin 150001, china school of computer Science and Technology Shandong University Jinan China College of information and Communication Harbin Engineering University Harbin China

As one of the most effective measures to extract useful information from medical database and provide scientific decision-making for diagnosis and treatment of diseases, medical data mining has become an increasingly hot topic in the last few years. Some of the intrinsic characteristics of medical databases, such as the huge volume and imbalanced samples as well as stringent performance standards, make this mining process particularly challenging. By elaborating various challenges existing in Task 1 of KDD Cup 2008 competition, this paper analyzes some potential solutions to these problems and presents a modified boosted tree as the final classification model. This model ranked the fourth among all the solutions to Task 1. We hope that our analysis and solutions to these challenges would contribute to the development of medical data mining applications.

关键词： classification boosted tree multiple instances scoring Real AdaBoost breast cancer detection medical data mining

Tuning the ferroelectricity of Hf0.5Zr0.5O2 with alloy electrodes

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Science china(information Sciences) 2024年第8期67卷 321-330页

作者： Keqin LIU Bingjie DANG Zhiyu yang Teng ZHANG Zhen yang Jinxuan BAI Zelun PAN Ru HUANG Yuchao yang Beijing Advanced Innovation Center for Integrated Circuits School of Integrated Circuits Peking University school of Electronic and computer engineering Peking University Center for Brain Inspired Chips Institute for Artificial Intelligence Peking University Center for Brain Inspired Intelligence Chinese Institute for Brain ResearchBeijing

Tuning ferroelectricity of Hf0.5Zr0.5O2is crucial for facilitating its practical applications in various fields, including in-memory and neuromorphic computing. Previous studies have revealed that the electrodes have a significant influence on ferroelectricity, and changing electrode materials can realize different but discrete ferroelectric polarization values. Here, we introduce an alloy-electrode method, in order to achieve gradual and accurate modulation of ferroelectric polarization, especially useful for matching the polarization charges at the interface of ferroelectric insulators and ferroelectric semiconductors. Au and W electrodes are chosen as baselines for realizing weak and strong ferroelectric polarization, where the intermediate states can be achieved by adjusting the ratio of metals in the Au-W alloy. To demonstrate the generality of this approach, the Cu-W alloy electrode is also realized for tuning ferroelectric polarization. The effect of alloy electrodes on device leakage current, endurance, and retention is evaluated. In addition, the temperature stability of ferroelectric capacitors is tested, where limited changes in both remnant polarization and coercive voltages are observed, showing the great potential of the ferroelectric hafnium oxide. Such gradual modulation of ferroelectric polarization could facilitate the application of Hf0.5Zr0.5O2in in-memory and neuromorphic computing.

关键词： ferroelectric hafnium oxide alloy electrode gradual modulation temperature stability

Mining and Integrating Reliable Decision Rules for Imbalanced Cancer Gene Expression Data Sets

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Tsinghua Science and Technology 2012年第6期17卷 666-673页

作者： Hualong Yu 1 , jun Ni 2 , Yuanyuan Dan 3 , Sen Xu 4 1. school of computer Science and engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, china 2. Department of Radiology, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA 3. school of Biology and Chemical engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, china 4. school of information engineering, Yancheng Institute of Technology, Yancheng 224051, china school of computer Science and engineering Jiangsu University of Science and Technology Zhenjiang 212003 China Department of Radiology Carver College of Medicine The University of Iowa Iowa City IA 52242 USA school of Biology and Chemical engineering Jiangsu University of Science and Technology Zhenjiang 212003 China school of information engineering Yancheng Institute of Technology Yancheng 224051 China

There have been many skewed cancer gene expression datasets in the post-genomic era. Extraction of differential expression genes or construction of decision rules using these skewed datasets by traditional algorithms will seriously underestimate the performance of the minority class, leading to inaccurate diagnosis in clinical trails. This paper presents a skewed gene selection algorithm that introduces a weighted metric into the gene selection procedure. The extracted genes are paired as decision rules to distinguish both classes, with these decision rules then integrated into an ensemble learning framework by majority voting to recognize test examples; thus avoiding tedious data normalization and classifier construction. The mining and integrating of a few reliable decision rules gave higher or at least comparable classification performance than many traditional class imbalance learning algorithms on four benchmark imbalanced cancer gene expression datasets.

关键词： cancer gene expression data class imbalance paired differential expression genes decision ruleensemble learning majority voting

Data Driven Vibration Control:A Review

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1898-1917页

作者： Weiyi yang Shuai Li Xin Luo Chongqing Institute of Green and Intelligent Technology Chinese Academy of SciencesChongqing 400714 Chongqing school University of Chinese Academy of SciencesChongqing 400714China Faculty of information Technology and Electrical engineering University of OuluOulu 90570 VTT-Technology Research Center of Finland Oulu 90570Finlan College of computer and information Science Southwest UniversityChongqing 400715China

With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests from both the industrial and academic *** shaping(IS),as a simple and effective feedforward method,is greatly demanded in DDVC *** convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure,thereby suppressing the residual vibration *** on a thorough investigation into the state-of-the-art DDVC methods,this survey has made the following efforts:1)Introducing the IS theory and typical input shapers;2)Categorizing recent progress of DDVC methods;3)Summarizing commonly adopted metrics for DDVC;and 4)Discussing the engineering applications and future trends of *** doing so,this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives,aiming at promoting future research regarding this emerging and vital issue.

关键词： Data driven vibration control(DDVC) data science designing method feedforward control industrial robot input shaping optimizing method residual vibration

Achieving high carrier mobility and low lattice thermal conductivity in GeTe-based alloys by cationic/anionic co-doping

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Rare Metals 2024年第6期43卷 2784-2795页

作者： Xiao-Qiang Wang Xiao-Quan Hu jun-Yan Lin Chu-Bin Li Xiao-Tong Yu Qi-Yong Chen Li-Li Xi Qi-Shuo yang Han Li Ji-Ye Zhang Shuan-Kui Li Kai Guo school of Physics and Materials Science Guangzhou UniversityGuangzhou 510006China Research Center for Advanced information Materials(CAIM) Huangpu Research&Graduate School of Guangzhou UniversitySino-Singapore Guangzhou Knowledge CityGuangzhou510555China school of Materials Science and engineering Shanghai UniversityShanghai 200444China Materials Genome Institute Shanghai UniversityShanghai 200444China school of Mechanical and Mining engineering University of QueenslandBrisbaneQLD 4072Australia Key Laboratory of Si-Based information Materials&Devices and Integrated Circuits Design Department of Education of Guangdong ProvinceGuangzhou 510006China

TheⅣ-Ⅵcompound GeTe is considered as a promising alternative to the toxic PbTe for high-efficiency mid-temperature thermoelectric ***,pristine GeTe suffers from a high concentration of Ge vacancies,resulting in an excessively high hole concentration(>1×10^(21)cm^(-3)),which greatly limits its thermoelectric *** address this issue,CuBiTe_(2)alloying is introduced to increase the formation energy of Ge vacancies in GeTe,thereby inhibiting the high carrier *** carrier scattering caused by the electronegativity difference between different elements is suppressed due to the similar electronegativity of Cu and Ge atoms.A relatively high hole mobility is obtained,which ultimately leads to a high power ***,by introducing Se as an alloying element at the anionic site in GeTe,dense point defects with mass/strainfield fluctuations are *** contributes to the strengthening of phonon scattering,thereby reducing the lattice thermal conductivity from 1.44 W·m^(-1)·K^(-1)for pristine GeTe to 0.28 W·m^(-1)·K^(-1)for Ge_(0.95)Cu_(0.05)Bi_(0.05)Te_(0.9)Se_(0.15)compound at 623 K.

关键词： GeTe Carrier mobility CuBiTe_(2)alloying Lattice thermal conductivity Thermoelectric properties

KSKV:Key-Strategy for Key-Value Data Collection with Local Differential Privacy

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computer Modeling in engineering & Sciences 2024年第6期139卷 3063-3083页

作者： Dan Zhao yang You Chuanwen Luo Ting Chen yang Liu Artificial Intelligence Development Research Center Institute of Scientific and Technical Information of ChinaBeijing100038China Industry Development Department NSFOCUS Inc.BeijingChina school of information Science and Technology Beijing Forestry UniversityBeijing100083China school of computer Science and engineering University of Electronic Science and Technology of ChinaChengdu610054China Institute of Computing Technology China Academy of Railway Sciences Corporation LimitedBeijing10081China

In recent years,the research field of data collection under local differential privacy(LDP)has expanded its focus fromelementary data types to includemore complex structural data,such as set-value and graph ***,our comprehensive review of existing literature reveals that there needs to be more studies that engage with key-value data *** studies would simultaneously collect the frequencies of keys and the mean of values associated with each ***,the allocation of the privacy budget between the frequencies of keys and the means of values for each key does not yield an optimal utility *** the importance of obtaining accurate key frequencies and mean estimations for key-value data collection,this paper presents a novel framework:the Key-Strategy Framework forKey-ValueDataCollection under ***,theKey-StrategyUnary Encoding(KS-UE)strategy is proposed within non-interactive frameworks for the purpose of privacy budget allocation to achieve precise key frequencies;subsequently,the Key-Strategy Generalized Randomized Response(KS-GRR)strategy is introduced for interactive frameworks to enhance the efficiency of collecting frequent keys through group-anditeration *** strategies are adapted for scenarios in which users possess either a single or multiple key-value ***,we demonstrate that the variance of KS-UE is lower than that of existing *** claims are substantiated through extensive experimental evaluation on real-world datasets,confirming the effectiveness and efficiency of the KS-UE and KS-GRR strategies.

关键词： Key-value local differential privacy frequency estimation mean estimation data perturbation