Adaptive Event-Based Consensus of Multi-Agent Systems with General Linear Dynamics

In this paper, adaptive event-based consensus of multi-agent systems with general linear dynamics is considered. A novel adaptive event-based controller and a state-dependent triggering function are proposed for each agent. The consensus can be achieved without the assumption that (A,B) is stabilizable. Furthermore, the Zeno-behavior of the concerned closed-loop system is also excluded under certain conditions. Finally, a numerical simulation example is presented to show the effectiveness of the theoretical results.     

融合倾斜仪数据的盾构姿态严密解算模型

推导了倾斜仪与盾构的严密标定模型;将倾斜仪采集的双轴角度数据视为平面点云,推导了倾斜仪角度数据的稳健估计方法;在前述模型方法的基础上,利用最小二乘配置方法建立了倾斜仪与棱镜数据融合的严密联合解算模型.最后,通过试验对上述模型方法进行了分析验证.结果证明,提出的盾构姿态解算模型正确可行.     

Loading-Balance Relay-Selective Strategy Based on Stochastic Dynamic Program

A Relay-Assisted(RA) network with relay selection is considered as a type of effective technology to improve the spectrum and energy efficiency of a cellular network. However, loading balance of the assisted relay node becomes an inevitable bottleneck in RA network development because users do not follow uniform distribution. Furthermore, the time-varying channel condition of wireless communication is also a major challenge for the RA network with relay selection. To solve these problems and improve the practicability of the RA network, a Loading Balance-Relay Selective(LBRS) strategy is proposed for the RA network in this paper. The proposed LBRS strategy formulates the relay selection of the RA network under imperfect channel state information assumption as a Multistage Decision(MD) problem. An optimal algorithm is also investigated to solve the proposed MD problem based on stochastic dynamic program. Numerical results show that the performance of the LBRS strategy is better than that of traditional greedy algorithm and the former is effective as an exhaustive search-based method.     

Crystal-KMC: Parallel Software for Lattice Dynamics Monte Carlo Simulation of Metal Materials

Kinetic Monte Carlo(KMC) is a widely used method for studying the evolution of materials at the microcosmic level. At present, while there are many simulation software programs based on this algorithm, most focus on the verification of a certain phenomenon and have no analog-scale requirement, so many are serial in nature. The dynamic Monte Carlo algorithm is implemented using a parallel framework called SPPARKS, but it does not support the Embedded Atom Method(EAM) potential, which is commonly used in the dynamic simulation of metal materials. Metal material — the preferred material for most containers and components — plays an important role in many fields, including construction engineering and transportation. In this paper, we propose and describe the development of a parallel software program called Crystal-KMC, which is specifically used to simulate the lattice dynamics of metallic materials. This software uses MPI to achieve a parallel multiprocessing mode, which avoid the limitations of serial software in the analog scale. Finally, we describe the use of the parallel-KMC simulation software Crystal-KMC in simulating the diffusion of vacancies in iron, and analyze the experimental results. In addition, we tested the performance of Crystal-KMC in "meta-Era" supercomputing clusters, and the results show the Crystal-KMC parallel software to have good parallel speedup and scalability.     

A framework for personalized adaptive user interest prediction based on topic model and forgetting mechanism

User interest is not static and changes dynamically. In the scenario of a search engine, this paper presents a personalized adaptive user interest prediction framework. It represents user interest as a topic distribution, captures every change of user interest in the history, and uses the changes to predict future individual user interest dynamically. More specifically, it first uses a personalized user interest representation model to infer user interest from queries in the user’s history data using a topic model; then it presents a personalized user interest prediction model to capture the dynamic changes of user interest and to predict future user interest by leveraging the query submission time in the history data. Compared with the Interest Degree Multi-Stage Quantization Model, experiment results on an AOL Search Query Log query log show that our framework is more stable and effective in user interest prediction.     

A Time-Domain Electromagnetic Transmitter with Great Power and Large Current by Using a Closed-Loop Phase Shifting Control Strategy

A time-domain electromagnetic transmitter (TDET) with great power and large current was designed by using a closed-loop phase shifting control strategy. A clamping voltage source circuit was applied in this system to improve the falling edge of emission current and shorten the turn-off time. The simulated results showed that this TDET exhibited the advantages including a large current, strong capability for rapid turn-off, stably output voltage, preferably dynamic performance, a widely adjustable range in transmitting voltage, accurate measurement precision.     

基于文献计量分析的中国土壤重金属健康风险评价研究

目的综述2008-2017年10年间我国土壤重金属健康风险评价的研究动态,以期为政府相关部门对环保政策制定及相关科研人员的研究提供借鉴。方法以中国学术期刊网为数据来源,参考207篇关于中国土壤重金属健康风险评价研究的文献,以描述性数理统计法对资源来源、产出趋势、下载量与被引频次、基金项目等指标分析;依据普莱斯定律、布拉德福定律分别对主要研究机构与核心作者分布、学科和期刊种类分布等指标分析。结果 2008-2017年10年间,我国有关土壤重金属污染健康风险评价研究成果呈波动上升趋势,研究成果是以期刊论文的形式展现,载文量最高期刊是《环境化学》,核心作者发文量为2篇及以上;基金论文占总发文量的97.58%。结论随着我国学者对土壤重金属污染健康风险评价研究的逐年推进,研究者在研究手段、研究方法及研究视角等方面开始有所创新突破,研究主要集中在工程科技Ⅰ辑领域,还未形成核心的作者群。     

Wiener Indices in Random Cyclooctane Chains

The Wiener index of a connected graph (molecule graph) G is the sum of the distances between all pairs of vertices of G. In this paper, simple exact formula are established for the expected value of Wiener index in random cyclooctane chain. Moreover, we obtain the average value of the Wiener indices with respect to the set of all cyclooctane chains with n octagons.     

基于柔度曲率曲线拟合的薄板结构损伤识别研究

提出了基于柔度曲率多项式曲线拟合的损伤识别方法,并用该方法对薄板结构进行损伤研究。采用有限元软件ANSYS进行模态分析,得到损伤薄板的模态振型和固有频率,进而得到X方向和Y方向柔度曲率,然后分别在X方向和Y方向进行多项式曲线拟合。基于拟合值与原始值的差值构造新的损伤指标。数值算例的结果表明,基于柔度曲率多项式曲线拟合的方法相比仅采用柔度曲率矩阵的方法能够更好地进行平板损伤定位,同时相比柔度曲率差等需要结构损伤前后模态数据的损伤识别方法,该方法不需要用到结构损伤前的模态数据,可以运用于难以获得健康结构的模态振型数据的结构损伤识别中。