Two Innovative Coalition Formation Models for Dynamic Task Allocation in Disaster Rescues

This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available agents, it is hard for the single-objective and single (task)-to-single (agent) task allocation approaches to handle task allocation in such circumstances. To this end, two multi-objective coalition formation for task allocation models are proposed for disaster rescues in this paper. First, through coalition formation, the proposed models enable agents to cooperatively perform complex tasks that cannot be completed by single agent. In addition, through adjusting the weights of multiple task allocation objectives, the proposed models can employ the linear programming to generate more adaptive task allocation plans, which can satisfy different task allocation requirements in disaster rescue. Finally, through employing the multi-stage task allocation mechanism of the dynamic programming, the proposed models can handle the dynamics of tasks and agents in disaster environments. Experimental results indicate that the proposed models have good performance on coalition formation for task allocation in disaster environments, which can generate suitable task allocation plans according to various objectives of task allocation.     

高性能膜分离材料、膜过程强化关键技术及装备的研制与应用

针对影响和制约膜分离技术大规模推广应用的关键材料与技术瓶颈,中国科学院过程工程研究所"生化工程介质与设备"创新团队经过多年自主创新,在高性能分离膜材料、膜过程强化关键技术和高效膜分离装备等方面取得了系列科研成果,部分成果在调味品、水处理、中药等行业实现了产业化应用,创造了显著的经济效益和社会效益,为提高我国膜工业研发与应用水平,缩短我国膜分离行业与国外先进水平之间的差距,促进膜分离技术的大规模工业化应用做出了贡献。     

MVC设计模式在Web开发中的研究与应用

从MVC设计模式的相关概念出发,在分析MVC设计模式的优缺点基础上,给出了在Web应用程序开发中应用MVC模式的改进方式.     

Study on the Centralization Strategy of the Blood Allocation Among Different Departments within a Hospital

By far, the researches on how to distribute blood products among different departments in hospital have not been further studied, though the problem of blood shortage and wastage that caused by improper blood allocation is severe, which may endanger patient’s lives and impose considerable costs on hospitals. In order to solve this problem, this paper mainly studies on how to distribute the blood items among different departments within a hospital and investigates the allocation approach with the novel management method by centralizing the inventory of several different departments. By integrating the blood inventory requirements of some departments, the hospital could reduce the rate of blood shortage and wastage effectively, release the pressure of the occupancy of resources and reduce the bullwhip effect of blood products. This paper illustrates the centralization principle in hospital and formulates the mixed integer programming model to work out the optimal allocation network scheme and the optimal inventory setting for every department. And the results of the numerical example demonstrate that this centralization method could considerably reduce blood shortage and wastage in hospital by about 72% and 90% respectively. Furthermore, it could decrease the total cost by about 108,540 RMB a month on blood supply chain management in the hospital and improve the effect of some certain surgeries by transfusing the fresh blood to patients.     

Free Information Flow Benefits Truth Seeking

How can we approach the truth in a society? It may depend on various factors. In this paper, using a well-established truth seeking model, the authors show that the persistent free information flow will bring us to the truth. Here the free information flow is modeled as the environmental random noise that could alter one's cognition. Without the random noise, the model predicts that the truth can only be captured by the truth seekers who own actively perceptive ability of the truth and their believers, while the other individuals may stick to falsehood. But under the influence of the random noise, the authors strictly prove that even there is only one truth seeker in the group, all individuals will finally approach the truth.     

基于K均值和支持向量机的燃料电池在线自适应故障诊断

基于K均值(K-means)和支持向量机(support vector machine, SVM)算法,提出了一种车用燃料电池系统(fuel cell system, FCS)在线自适应故障诊断方法.该方法通过不断获取系统最新单体电压,采用K-means算法改进传统的静态SVM分类器模型,对实时获取的信息进行聚类,实现分类器的在线自适应调节.采用已发表文献中的实验数据进行了相关的验证分析,结果表明,提出的方法能有效地在线调节故障分类器,实现FCS系统特性发生改变后的故障检测.     

拉恩氏菌LRP3诱导形成碱式磷酸锌沉淀及其在Zn污染土壤修复中的作用

采用批式和土壤培养实验考察拉恩氏菌LRP3对Zn的磷酸盐矿物诱导及其在Zn污染土壤修复中的作用, 并进行X射线衍射、 扫描电子显微镜、 能谱及Fourier变换红外光谱分析. 结果表明, 菌株LRP3对Zn²⁺的最大耐受质量浓度为120 mg/L; 对溶液中Zn²⁺的去除率为菌体细胞（97.4%）>发酵液（88.2%）>无菌发酵液（81.6%）; 菌株LRP3的发酵液可通过生物矿化作用诱导形成结晶良好的立方体状Zn₂(OH)PO₃矿物晶体; 菌株LRP3的发酵液加入土壤后可快速降低DTPA-Zn的质量比, 培养5 d后DTPA-Zn的质量比平均下降784%, 培养6 d后土壤中Zn的弱酸提取态和可氧化态的质量比分别下降72.5%和562%, 可还原态和残渣态的质量比分别增加85.1%和14.8%. 因此, 菌株LRP3对Zn²⁺具有较强的抗性和吸附能力, 可通过降解植酸释放磷酸根, 进一步诱导形成碱式磷酸锌矿物晶体, 从而降低土壤中Zn的生物有效性, 可用于Zn污染土壤的绿色可持续修复.     

基于Matlab的土坡稳定分析的解析计算

采用精确积分代替有限条块的求和,得到土质边坡稳定分析的瑞典法和毕肖普简化法的积分表达式,有效地避免了条分法中由于土条数目与宽度的选择所带来的误差.在程序编制过程中,除了考虑土质的非均匀性外,还考虑到实际工程中坡顶及土层面往往呈非水平状态,采用折线型坡面和土层面来模拟实际边坡,利用Matlab语言的内置函数,极大地简化了程序的编制,扩展了积分法在边坡稳定分析中的应用.并利用横向和垂向相结合的二维搜索算法搜索临界圆弧滑动面.通过算例表明,此方法的计算结果是正确合理的,可用于土质边坡稳定分析.