Environmental problem-solving: Psychosocial factors

This is a study of individual differences in environmental problem-solving, the probable roots of these differences, and their implications for the education of resource professionals. A group of student Resource Managers were required to elaborate their conception of a complex resource issue (Spruce Budworm management) and to generate some ideas on management policy. Of particular interest was the way in which subjects dealt with the psychosocial aspects of the problem. A structural and content analysis of responses indicated a predominance of relatively compartmentalized styles, a technological orientation, and a tendency to ignore psychosocial issues. A relationship between problem-solving behavior and personal (psychosocial) style was established which, in the context of other evidence, suggests that problem-solving behavior is influenced by more deep seated personality factors. The educational implication drawn was that problem-solving cannot be viewed simply as an intellectual-technical activity but one that involves, and requires the education of, the whole person.     

Game theory and hybrid genetic algorithm for energy management and real-time pricing in smart grid: the Tunisian case

ABSTRACT

Microgrids are the key for integrating renewable energy from different sources into smart grid, that is why power grid evolves into a combination of interconnected microgrids. In fact, future power grids are undergoing this groundbreaking change that will help meet the increasing demand of electric power and reduce carbon emission. In this sense we study in this paper, based on measured data, a real case of energy management in the area of Beja located in Tunisia. Indeed, we propose a model for the power exchange which proves the potential of applying game theory in the development of both real-time pricing and energy management mechanism for an open electricity market. We also introduce a hybrid genetic algorithm to compute the Nash Equilibrium. Results show that the proposed smart energy management can decrease the real cost of power up to 20%, to divide the energy transmission losses by a factor of two and to reduce the carbon emission in the area of Beja.     

浅谈对劳动和劳动价值理论的认识

随着科学技术的发展和劳动形成、结构的变化,社会上对马克思的劳动和劳动价值理论存在种种误解和曲解。技术进步、社会分工和生产的发展,科学技术工作和经营管理作为劳动的重要形式,在生产中发挥着越来越重要的作用。但马克思的劳动和劳动价值理论在当今世界没有过时和失效。     

UNCERTAINTY BASED OPERATION OF LARGE SCALE RESERVOIR SYSTEMS: DEZ AND KAROON EXPERIENCE1

ABSTRACT: Reservoir operation involves a complex set of human decisions depending upon hydrologic conditions in the supply network including watersheds, lakes, transfer tunnels, and rivers. Water releases from reservoirs are adjusted in an attempt to provide a balanced response to different demands. When a system involves more than one reservoir, computational burdens have been a major obstacle in incorporating uncertainties and variations in supply and demand. A new generation of stochastic dynamic programming was developed in the 1980s and 1990s to incorporate the forecast and demand uncertainties. The Bayesian Stochastic Dynamic Programming (BSDP) model and its extension, Demand Driven Stochastic Dynamic Programming (DDSP) model, are among those models. Recently, a Fuzzy Stochastic Dynamic Programming model (FSDP) also was developed for a single reservoir to model the errors associated with discretizing the variables using fuzzy set theory. In this study the DDSP and the FSDP models were extended and simplified for a complex system of Dez and Karoon reservoirs in the southwestern part of Iran. The simplified models are called Condensed Demand Driven Stochastic Programming (CDDSP) and Condensed Fuzzy Stochastic Dynamic Programming (CFSDP). The optimal operating policies developed by the CDDSP and the CFSDP models were simulated in a classical model and a fuzzy simulation model, respectively. The case study was used to demonstrate the advantages of implementing the proposed algorithm, and the results show the significant value of the proposed fuzzy based algorithm.     

立体仓库故障自诊断研究

结合立体仓库结构特点 ,分析了立体仓库故障机理 ,构建了立体仓库故障自诊断系统的总体框架 ,并在分析研究其数据采集处理系统、实时监测控制系统及自诊断专家系统的基础上 ,运用VisualBasic6 0在Windows系统下 ,实现了立体仓库故障的自诊断功能     

城市公共安全规划模式的研究

在分析城市公共安全规划的意义及其理论的基础上 ,笔者提出了城市公共安全规划的基本模式。所研究的主要内容包括 :城市公共安全规划目标及可行性分析、信息采集与现状调查、风险评价与预测、风险区划和专项规划、规划方案的设计与优化、规划方案的决策与审批、规划方案的实施等。     

谷氨酸晶体分离工艺研究

采用以浅层理论制作的固液分离器对味精生产中的谷氨酸废液和结晶母液进行分离，可加强对细粒级谷氨酸晶体的回收。其分离直径可达12μm。分离效率优于传统的滑槽工艺。     

基于灰色预测理论的瓦斯传感器自校正技术

笔者提出了将灰色预测理论与单片机技术相结合 ,对瓦斯传感器的非线性进行自校正的新思路 ;采用了灰色预测理论中GM(1,1)模型和单片机技术相结合 ,将预测误差值对传感器的实测值进行分段补偿的方法 ,实现对瓦斯传感器的非线性自校正 ;该方法克服了灰色预测理论对波动较大的随机序列的预测精度低的缺陷。其研究结果表明 ,应用该方法得到的预测值与真值的拟合程度好 ,预测值与真值之间最大的差值为 0 .15 0 1% ,而该处校正前的差值为 0 .30 0 0 % ,提高了传感器的测量精度。     

Organizations in context: proposal for a new theoretical approach in prescriptive accident research

Lately, requests have been made to include the contexts of enterprises in models to prevent accidents at work. This paper presents different contextual theories in order to analyze whether this type of theory could be a way to elaborate our understanding of context. A differentiation is made between (a) theories of understanding relations between enterprises and regulatory agencies and (b) theories to perceive the relation between enterprise and the broader context. The last group of theories has its point of departure in an organizational understanding diverging from the classical, rational understanding of organizations and organizational processes. The conclusion is that contextual theories open for an elaborated understanding of the role of contextual relations in accident prevention, but also that an investigation of the potentials for making the theories action-orientated is needed.     

DEVELOPMENT AND APPLICATION OF A MODFLOW PREPROCESSOR USING PERCOLATION THEORY FOR FRACTURED MEDIA1

ABSTRACT: The discrete heterogeneity of fracture distribution and hydraulic discontinuity are the primary difficulties in the modeling of flow in fractured media. The equivalent porous medium (EPM) approach, however, which has been frequently applied to simulate flow in fractured media due to its ease of use, ignores this. This practice results in some severe limitations such as hydraulic head averaging and an inability to handle preferred fluid pathways. The PMF package (a Preprocessor to MODFLOW for Fractured media) was developed employing percolation theory to address these limitations and to utilize the simplicity of the EPM approach at the same time. This preprocessor was applied to a fractured rock aquifer around Cranberry Lake in northern New Jersey. The calibration using hydraulic head observations, validation using water balance, and evaluation using residuals show that the model generated by the PMF package can provide a superior simulation of ground water flow to the EPM approach.