分布式供能与循环经济的能源结构优化

认为分布式供能为城市循环经济发展过程中的能源结构优化提供了新的选择途径,是传统的集中式供能不可或缺的补充和替代,代表着新型绿色供能模式更新换代的发展趋向,成为许多城市发展循环经济的契入点.认为这一新型供能模式的启动与发展需要城市管理决策者的政策引导和社会力量参与的市场化运作.     

中国通货膨胀成因的实证分析

通过对可能影响我国通货膨胀的因素,包括经济增长、货币供应量、居民消费水平和工资的格兰杰因果分析和自回归分布滞后模型的拟合,可知我国通货膨胀和货币供应量、居民预期有密切关系,而和其他因素没有显著关系.     

Can corporate social responsibility resolve the sanitation question in developing Asian countries?

The existing state of sanitation in developing Asian countries fails to deliver a level of service that is adequate for meeting the human right to a standard of living consistent with dignity and health, or for sustaining the capacity for future generations to have access to clean water resources and healthy ecosystems. We argue that translating the current neo-centralised technologies and institutional arrangements mainstreamed by industrialised countries would not resolve the problem in the context of developing countries. Instead it is necessary to ‘leap frog’ to the emerging technological and institutional arrangements that are responsive to current needs and contexts and to potential risks. The sustainability focus and often decentralised technologies of this emergent stage in sanitation present many opportunities for new actors to enter the urban sanitation industry. At the same time, there are many barriers to entry, particularly from the perspective of conventional business management focused on increasing shareholder value.We propose that perspectives from the corporate social responsibility discourse have the potential to provide both the ‘pull’ for seizing the business opportunity for profit while serving social needs, and the ‘push’ to overcome the barriers in order to serve a wider social purpose for corporations. The wealth of nations, at least as reported in ubiquitous GDP terms, has greatly increased through the activities of corporations driven by a profit motive; but the increased poverty, injustice and ecosystem degradation that have resulted from economic activity suggest that corporations perhaps ought to have regard for broader concerns beyond shareholder value. We explore how the alternative relational view of a corporation, as a metaphorical person within society who adopts a moral code consistent with both Buddhist economics and Adam Smith's philosophy, may facilitate profitable corporations that provide better economic, ecological and social outcomes in serving the need for sustainable sanitation services in developing Asian countries.     

Determinants in the forecast of the gross national income of China and India from 1952 to 2015

In 2015, China and India's population represented approximately 35.74% of the total number of people living in the world. Due to the historical context and behavior of the most relevant indicators, this study proposes to utilize a wide variety of demographic, economic, and production indicators from 1952 to 2015 to assess their impact on the GNI in China and India. A comprehensive and new fangled modeling process with stepwise, regularization and distributed lag regression approaches is presented. Accordingly, theoretical results were corroborated through extensive diagnostic tests and an empirical check of the models' predictive capacity. The findings show that GNI in China is most influenced by variables such as reserves in foreign currency and the dependency ratio; whereas, variables of energy production and birth rate were generated for India. Therefore, it's the timing for China to relax the universal two-child policy. Due to the current value below the substitution rate, a gloomy outlook for China's future population and economy is predicted. Conversely, a positive outlook is forecasted for India, given the low price in the future of oil- India's primary raw material.     

火力发电厂中基于光纤传感技术的火灾报警系统设计

针对国内外电厂对缆式线型感温的设计要求,突出了线型感温探测的重要性。从光纤感温探测的原理开始,对整套系统进行了结构性研究。主要研究了系统结构、探测光缆、控制器等组件。结合拉曼散射原理,剖析温度变化引起探测光缆的吸收和反吸收效应;强调了光学感温探测系统的应用优势和安装条件等。最后结合实体项目,分析对比了传统感温电缆和光学感温探测系统在实际工程应用中的优缺点,并提出了优化方案,以提高火灾报警系统的工作效率。     

Impact of Financial Development on the Environmental Quality in Iran

In recent decades, undesirable environmental changes, such as global warming and greenhouse gases emission, have raised worldwide concerns. In order to achieve higher growth rate, environmental problems emerged from economic activities have turned into a controversial issue. The aim of this study is to investigate the effect of financial development on environmental quality in Iran. For this purpose, the statistical data over the period from 1970 to 2011 were used. Also by using the Auto Regression Model Distributed Lag （ARDL）, short-term and long-term relationships among the variables of model were estimated and analyzed. The results show that financial development accelerates the degradation of the environment; however, the increase in trade openness reduces the damage to environment in Iran. Error correction coefficient shows that in each period, 53% of imbalances would be justified and will approach their long-run procedure. Structural stability tests show that the estimated coefficients were stable over the period.     

A gossip based information fusion protocol for distributed frequent itemset mining

The computational complexity, huge memory space requirement, and time-consuming nature of frequent pattern mining process are the most important motivations for distribution and parallelization of this mining process. On the other hand, the emergence of distributed computational and operational environments, which causes the production and maintenance of data on different distributed data sources, makes the parallelization and distribution of the knowledge discovery process inevitable. In this paper, a gossip based distributed itemset mining (GDIM) algorithm is proposed to extract frequent itemsets, which are special types of frequent patterns, in a wireless sensor network environment. In this algorithm, local frequent itemsets of each sensor are extracted using a bit-wise horizontal approach (LHPM) from the nodes which are clustered using a leach-based protocol. Heads of clusters exploit a gossip based protocol in order to communicate each other to find the patterns which their global support is equal to or more than the specified support threshold. Experimental results show that the proposed algorithm outperforms the best existing gossip based algorithm in term of execution time.     

TPS系统参数组态应用示例

分散控制系统DCS在石油和化工生产中应用十分广泛。通过对系统组态使得系统功能得以实现。本文针对TPS系统控制站的常规控制点参数组态进行示例分析,有效解决生产中的实际问题,提高系统实用性。     

分布式电力监控系统中安全问题的研究与实现

随着电力监控系统由集中的管理方式转变为采用分布式的网络管理，整个分布式电力监控网络的安全问题显得日益重要。本文在分析电力监控系统特点的基础上为监控网络提供了一个完整的安全服务，该服务包括对安全认证中心、各个分布式监控站点和整个网络传输过程中安全问题的考虑。     

ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge

The complexity of policy decision-making raises the need to elicit opinions from large and heterogeneous groups of stakeholders with broad and diverse sets of expertise. Existing options for elicitation include small face-to-face panels of experts by using the Nominal Group Technique (NGT), large Delphi panels whose members do not interact with each other face-to-face, and crowdsourcing, which involves an open call for input issued to a large community of people. In an attempt to close the gap between the practical needs of policy makers and the methodological challenges associated with eliciting opinions of large, diverse, and distributed groups, we have developed a new online elicitation system and methodology called ExpertLens. By optimizing the direct interactions of NGT with the larger number of Delphi participants and the wisdom of “selected crowds,” our approach is designed to save on the costs associated with traditional expert panels, while increasing accuracy in elicitation by reducing the potential for group process losses that can occur in large, diverse, and non-collocated panels whose members interact via asynchronous online discussion boards. The ExpertLens approach is iterative, does not require participants to develop consensus, and determines what the group “thinks” by statistically analyzing data collected in all rounds of the elicitation. This paper describes the ExpertLens system and methodology, briefly discusses recent ExpertLens trials, provides conceptual arguments for why it is an appropriate model for eliciting expert opinions, illustrates its main components and analytics by using an infrastructure investment example, and discusses a research agenda for testing the underlying tenets of the ExpertLens approach.