宏观经济为何“过热”？（上）

从4月份以来,关于中国经济“过热”的判断和讨论不断明确和升温,一场“宏观调控”运动在中国经济经历了10年的“通货紧缩”之后再度重演。“抑制投资过热”、“加息”、“紧缩”等词汇频繁见诸于媒体,对国内的经济活动产生着影响。由于中国经济与世界经济的一体化程度的扩大,作为拉动世界经济增长的第二大引擎,中国经济的发展速度已开始影响世界经济的冷暖兴衰。中国经济的降温措施引     

建设智慧的地球

改革开放30年,中国经济取得的连续高增长有目共睹,而今后发展“绿色经济”,向“服务经济”转型,建立“和谐社会”,以及自主创新,都需要我们利用先进的技术和更加聪明的头脑,以更加智慧的方式去进行。世界变“平”了、变“小”了,在经济、社会和技术层面,这个全球整合的世界已经发生重大变化。当前的金融海啸、全球气候变化、能源危机或者安全问题,     

网络化制造与企业集成

随着信息技术和计算机网络技术的发展,世界经济正经历着一场深刻的革命,这场革命极大地改变着世界经济面貌,塑造着一种“新世界经济”,即“网络经济”。其特征是信息产业将在世界范围内大大发展,以此为基础的各种服务行业将成为越来越多的国家的主导产业,它将使世界经济全球化进程大大加速,使任何国家的市场变得过于狭小,企业跨国家和行业联合进一步发展,经济活动将按网络加以组织。     

沈阳国际软件园崛起“大浑南”

作为东北老工业基地的重中之重,沈阳曾经拥有“共和国装备部”的美誉,为国家经济发展做出过重大贡献。但随着经济全球化的迅速形成和世界经济的快速发展,沈阳进入了经济转型、产业结构调整、产品升级换代的新经济发展时期,尤其在“振兴东北老工业基地”这一国家战略的驱动下。     

华胜天成荣登第六届亚洲品牌盛典“品牌500强”

随着亚洲经济的发展及全球化浪潮的冲击，“崛起”的中国企业在世界经济舞台中担当着越来越重要的角色。近日，由亚洲品牌协会、香港文汇报社、环球时报社和中日韩经济发展协会联合主办的“第六届亚洲品牌盛典”在香港会议展览中心隆重举行。中共中央政策研究室经济局局长李连仲、中央人民政府驻香港特别行政区联络办公室经济部部长王丙辛、     

闪存时尚从外到内,移动存储再掀浪潮--百事灵推出星座闪存

“创新是整个世界不断发展的原动力!”经济学家熊彼特说。事实上,当他思索这些经济原理的时候,并没有想到它将对21世纪的世界经济产生怎样的影响。如今,在能够将日新月异这一成语淋漓尽致地表现出来的IT世界,以速度和变革为核心的“摩尔定律”开启的不只是技术革新的盛宴,同样把人们“想之即及”的完美生活推上了前所未有的高度。     

中国自动化与可持续发展——自动化技术进入“低碳经济”新时代

“2009罗克韦尔自动化高峰论坛”非常好地选择了“中国自动化与可持续发展”为主题来进行讨论。为此,我增加了一个副标题——“自动化技术进入“低碳经济”新时代”!这一副标题思想集中体现了在“后金融危机时代”世界上一些国家（如中国、美国以及世界其他各国）的领导与人民在思考：“到底应该如何可持续地发展,     

构筑“数字地球”，促进中国和全球的可持续发展

在迎接２１世纪的历史时刻,我们来自世界五大洲的科学家、工程师和管理专家亲切聚会,展示“数字地球”相关领域已经取得的丰硕成果,探讨２１世纪人类社会面临的机遇与挑战,交流对“数字地球”理论、技术、应用等各方面的认识,展望“数字地球”的前景,倍感欣慰。“数字地球”既是地球科学技术与空间科学技术、信息科学技术等现代科学技术交融的前沿领域,更是科学技术与社会发展以及社会科学紧密结合的结晶。“数字地球”是世界各国可持续发展的必然依托,是新的经济建设增长点,是科学技术、经济、政治、社会、历史发展的必然产物。当…     

海尔进化论：物联网带动产业升级

日前,在青岛举行的海尔集团科技大会上,海尔发布了世界上首台“物联网冰箱”。海尔因此成为全球第一个、也是目前唯一推出“物联网冰箱”的世界品牌。当前,物联网技术作为发达国家重点发展的新兴战略性产业,已经成为一个国家争夺经济科技制高点的战略重点,     

构筑“数字地球”,促进中国和全球的可持续发展

在迎接２１世纪的历史时刻,我们来自世界五大洲的科学家、工程师和管理专家亲切聚会,展示“数字地球”相关领域已经取得的丰硕成果,探讨２１世纪人类社会面临的机遇与挑战,交流对“数字地球”理论、技术、应用等各方面的认识,展望“数字地球”的前景,倍感欣慰。“数字地球”既是地球科学技术与空间科学技术、信息科学技术等现代科学技术交融的前沿领域,更是科学技术与社会发展以及社会科学紧密结合的结晶。“数字地球”是世界各国可持续发展的必然依托,是新的经济建设增长点,是科学技术、经济、政治、社会、历史发展的必然产物。当…     

基于多样性密度的多示例学习方法

结合多样性密度和带负类的支持向量数据描述,提出了一种能够有效解决多示例问题的算法:MIL-NSVDD_DD。该算法首先通过多样性密度算法找出多示例问题中最优示例模型,然后通过使用带负类的支持向量数据描述对示例模型进行训练,以得到最终的分类器,用得到的分类器再对新包进行预测。最后通过实验表明了该算法的有效性。     

连续及采样异结构混沌同步控制

研究了一类异结构混沌全状态同步控制问题。分别以Coullet系统与Rossler系统为目标和响应系统,采用backstepping方法设计了保持两系统之间所有状态同步的连续时间控制器,为了把连续控制器更好地应用到计算机采样控制系统中,在连续控制器设计的基础之上,基于采样系统实用半局渐近稳定理论,又进行了采样同步控制器的再设计研究。仿真结果证明了所设计的连续及采样同步控制器的有效性,并进一步表明所设计的采样同步控制器,与由连续控制器直接离散化所得的控制器相比,具有更快的收敛速度,而且在保证系统稳定的前提下还具有更宽的采样周期选择范围。     

三代非能动核电厂多样化驱动系统研究与分析

介绍多样化驱动系统（DAS）在核电厂中的作用,及其系统功能、结构、技术特点.     

浅析辩证统一原理视角下多元一体的设计

在多民族,多文化相容的今天,设计不仅要提供良好的功能,体现与时俱进的高科技,而且还充当着表现民族传统、人文特点、个性特色的多重角色。设计面临着多元化的挑战。优秀的设计国家没有放弃对本国设计可识别性的追求,形成独一无二的一体性,而中国古代就已经发展了多元一体的设计文化。文章试着用哲学上的辩证统一原理去分析设计多元化与设计的一体性之间的关系,并对回归中国现代设计民族个性做出一些思考。     

Diverse Firewall Design

Firewalls are the mainstay of enterprise security and the most widely adopted technology for protecting private networks. An error in a firewall policy either creates security holes that will allow malicious traffic to sneak into a private network or blocks legitimate traffic and disrupts normal business processes, which in turn could lead to irreparable, if not tragic, consequences. It has been observed that most firewall policies on the Internet are poorly designed and have many errors. Therefore, how to design firewall policies correctly is an important issue. In this paper, we propose the method of diverse firewall design, which consists of three phases: a design phase, a comparison phase, and a resolution phase. In the design phase, the same requirement specification of a firewall policy is given to multiple teams who proceed independently to design different versions of the firewall policy. In the comparison phase, the resulting multiple versions are compared with each other to detect all functional discrepancies between them. In the resolution phase, all discrepancies are resolved and a firewall that is agreed upon by all teams is generated.     

Generating Diverse Compound Critiques

Critiquing is a powerful form of feedback often used by conversational recommender systems. There are two main types of critiquing; unit and compound. Unit critiques allow the user to provide limited feedback at the feature-level by constraining a single feature’s value space. Compound critiques, on the other hand, allow the user to manipulate multiple features simultaneously and therefore can help the user to locate the product they are looking for more efficiently. However, the usefulness of the compound critiquing approach is compromised when all the options that are presented to the user are very similar to each-other. In this paper we propose the idea of presenting diverse compound critiques, and evaluate the effectiveness of two alternative approaches in terms of their recommendation performance. Specifically, we look at the degree to which critique diversity can be improved, the effect this may have on user interaction, and its expected impact on recommendation efficiency and quality     

Diverse subgroup set discovery

Large data is challenging for most existing discovery algorithms, for several reasons. First of all, such data leads to enormous hypothesis spaces, making exhaustive search infeasible. Second, many variants of essentially the same pattern exist, due to (numeric) attributes of high cardinality, correlated attributes, and so on. This causes top-k mining algorithms to return highly redundant result sets, while ignoring many potentially interesting results. These problems are particularly apparent with subgroup discovery (SD) and its generalisation, exceptional model mining. To address this, we introduce subgroup set discovery: one should not consider individual subgroups, but sets of subgroups. We consider three degrees of redundancy, and propose corresponding heuristic selection strategies in order to eliminate redundancy. By incorporating these (generic) subgroup selection methods in a beam search, the aim is to improve the balance between exploration and exploitation. The proposed algorithm, dubbed DSSD for diverse subgroup set discovery, is experimentally evaluated and compared to existing approaches. For this, a variety of target types with corresponding datasets and quality measures is used. The subgroup sets that are discovered by the competing methods are evaluated primarily on the following three criteria: (1) diversity in the subgroup covers (exploration), (2) the maximum quality found (exploitation), and (3) runtime. The results show that DSSD outperforms each traditional SD method on all or a (non-empty) subset of these criteria, depending on the specific setting. The more complex the task, the larger the benefit of using our diverse heuristic search turns out to be.     

Mining non-redundant diverse patterns: an information theoretic perspective

The discovery of diversity patterns from binary data is an important data mining task. In this paper, we propose the problem of mining highly diverse patterns called non-redundant diversity patterns (NDPs). In this framework, entropy is adopted to measure the diversity of itemsets. In addition, an algorithm called NDP miner is proposed to exploit both monotone properties of entropy diversity measure and pruning power for the efficient discovery of non-redundant diversity patterns. Finally, our experimental results are given to show that the NDP miner can efficiently identify non-redundant diversity patterns.     

Managing Diverse Groups for Creativity

A case study suited for practising creative problem-solving is presented. Results obtained in dealing with the case are examined using a conflict-resolution framework, demonstrating the relative absence of collaborative ideas. The case can be used to sensitise groups to possible biases in idea search, and to suggest ways of compensating the bias.     

基于VXI总线的多通道多采样率的数据采集系统

介绍了一个多通道多采样率的数据采集系统。该系统输出64个模拟量均要转换成数字信号，数据采集卡为基于VXI总线的E1413，多通道之间的变采样率通过特殊的采样列表实现。文中给出了硬件组成、程序流程和测试结果。该系统已用于对飞机燃油试验台的测控。应用结果表明，多通道之间的多采样率既保证了各通道的采样率要求，又降低了系统的数据率，提高了系统运行速度。