Multi‐objective crop planning using pareto‐based evolutionary algorithms

The scarcity of water is a growing problem worldwide. The increasing use of water in industrial, urban, and agricultural applications together with the continuous increase in population require the proposal of efficient solutions. In the case of agricultural use, it is necessary to not only maximize the economic benefits, but also to establish optimal water‐saving crop planning, especially for water‐deficient regions. Due to the multi‐objective nature of these problems, the decision‐making process is complex. Fortunately, the increase in computational resources available in recent years has allowed researchers to develop efficient computational algorithms to deal with real and complex optimization problems, including agricultural ones. In particular, multi‐objective evolutionary algorithms (MOEAs) are known for their ability to optimize several objective functions simultaneously to provide a representative set of the Pareto front, which is a set of problem solutions representing a trade‐off between the best values of each of the objectives. This article proposes solving a multi‐objective crop planning problem using two Pareto‐based MOEAs. Results obtained when solving this problem using real data collected from a large number of greenhouses in Spain to show the advantages of using these multi‐objective approaches.     

日本富士山

日本富士山,在晴朗的一天,神奇的云层在富士山山顶形成了一个奇特的环形形状,这是由于潮湿气流在高纬度遇到了例如山脉或者建筑等障碍物,阻断了气流的流通,随着空气中水分的凝结,下风侧形成了这样的奇特景观。     

桌面云在医院的应用研究

桌面云技术是继云计算技术之后又一新的热点技术,桌面云技术在医疗卫生领域具有广泛的应用基础和必要性。本文通过系统的对我国医院中桌面应用现状进行分析之后,根据医院各业务部门的实际情况,提出了一整套桌面云在医院中应用的设计。同时还指出了目前桌面云在医院中应用存在的一些问题。     

云环境下采购模式及风险评估研究

提高采购效率对企业发展至关重要。云环境下采购凭借其多样性、随机性、海量性等特点能够最大限度地满足用户需求,但是也存在着一定的风险。文中首先根据云环境的特征建立云环境下的采购模式,然后构建了云环境下采购风险评价指标体系及评价模型,运用网络分析法（ANP）在各指标间构造两两判断矩阵,在此基础上应用Super Decisions软件进行风险评价,最终得到云环境下采购风险指标权重排序。这一研究为云环境下采购风险的评估提供了方法和手段。     

物流园区云物流服务平台的构建研究

为提高物流园区的工作效率和服务水平,引入了以云计算为基础的云物流。文中介绍了云计算及云物流的概念,根据物流园区作业流程,构建了一种基于云服务的物流园区服务系统模型,并在此基础上给出了云物流服务平台的技术构架,最后以案例分析说明了云物流的构建和应用。     

云计算环境下的图书馆建设与服务创新

本文首先介绍云计算技术在云基础设施、SaaS、云存储等方面提升了图书馆建设与服务能力,分析了云计算技术在图书馆资源建设与服务中的应用,并探讨了云计算环境下的全面的用户交互、准确的智能性资源检索、一体化的综合信息等图书馆服务模式的创新。     

基于Hadoop 架构的校园信息系统研究

目前以Web架构的校园网,已成为高校校园内日常办公和事务管理的现代化管理手段,是一个综合复杂的校园信息系统。Web信息系统里面存储着海量的数据,在高速的校园网中构建以云存储系统为核心的信息管理系统,可以有效地解决重复投资、设备异构、信息分散、管理困难等诸多问题,是有效提升高校校园信息化管理水平的重要手段。     

Implementing cloud-based medical systems in hospitals and strategic implications

Hospital information systems (HISs) accelerate hospital-related operations and reduce errors. However, previous HISs lack flexibility and scalability, consequently limiting the development of medical institutions. The characteristics of cloud computing services are crucial in helping hospitals overcome such a deepening dilemma. Nonetheless, only few medical institutions has begun partial utilisation of cloud computing services. Therefore, this research explores the resistance factors encountered during the organisation innovation process using the innovation resistance theory. Furthermore, the developmental barriers of an organisation are summarised into the following seven categories: the expertise barriers, operational barriers, resource barriers, rules barriers, market entry barriers, data security barriers, and barriers of cloud service quality. Utilisation of interpretive structural modelling also facilitates further exploration of the interaction structures among the barriers of organisational innovations. Based on the correlation and causation of the barriers, policy recommendations are proposed for the allocation of resources.     

基于云计算模式下的Apriori算法研究

随着海量数据的增加和云计算的出现,对于云计算模式下的数据挖掘技术研究具有重要意义。基于云计算和Hadoop平台,分析了Apriori算法,提出了基于云计算模式下的改进的Apriori算法,实现了改进算法与MapReduce编程模型的移植。实验仿真表明,改进算法在云计算环境下的数据挖掘是可行的,高效的。