网络化多媒体课件同学科教学整合的实践与思考

网络化多媒体课件是以多媒体网络为基础环境的教学系统，它是根据教学目标的设计，表现特定的教学内容，反映一定的教学策略，可以用来存储、传递和处理教学信息，能让学生进行交互操作、分组讨论，并能对学生学爿情况作出反馈评价的教学媒体。那么如何运用网络化多媒体课件与学科教学有机整合，实现网络环境下的教学内容的呈现方式、学生的学习方式、教师的教学方式和师生互动方式的变革呢？2001年，我校成立了《网络化多媒体课件开发与应用的研究》课题组，五年来，课题组开展了大量的理论和实践研究。下面结合教学实践谈几点认识和体会。     

软件工程在现代远程教育多媒体课件开发中的应用研究

现代远程教育是建立在现代信息技术基础上的新型教育模式，而多媒体课件作为远程教育的重要载体，其开发制作技术尤为重要。在多年批量开发课件的经验基础上，本文提出现代远程教育多媒体课件开发应当采用软件工程的方法和思想，采用工程的概念、原理、技术和方法来开发与维护课件。本文以《Linux操作系统》为例介绍了课件的开发过程和开发思想，最后指出了多媒体课件开发技术的发展方向。     

符合《液压与气动技术》课程教学特色的教学课件的制作

在课程教学过程中多媒体课件应用越发广泛,本文结合《液压与气动技术》课程的特点进行了课件展示形式、课件制作及课件内容组织机构等问题的探讨。     

《测量学》教学动画及网站研究开发

为提高《测量学》教学质量与效率,以F1ash为开发平台,研究开发了《测量学》动画教学课件。这些动画课件生动形象地表现了测量的原理与过程、展现仪器的操作使用细节,可以激发学生的学习兴趣．丰富教学内容。将这些Flash动画内容及PowerPoint课件和Word文件等多种教学素材集成构成教学网站将更有利于教学。     

一个振动与波的好课件——课件《机械振动和机械波》点评

《机械振动和机械波》是高中物理中最难教的内容之一，概念抽象、关系错落，虽然教材中安排了不少实验，仍很难揭示众多瞬时变化的复杂关系。一节课下来，往往是教师满头大汗，学生雾水一团。现在好了，课件《机械振动和机械波》在很大程度上解决了这部分教学的难题。它是一个积件式的课件，集中了大大小小十个积件，基本上涵盖了机械振动和机械波在教学中所需的全部内容，具有极大的通用性。不论哪个版本的教材，也不论哪个地区的教师，只要是教学这部分内容都能用得上。这种积件式课件的特点，是一般课件所不及的。     

多媒体在《机械基础》课群中的应用

多媒体教学集声音、视频、动画于一体,它着力表现一般教学手段不易表达的内容,展示现场观察不清楚的细节,将抽象的概念转化为生动活泼的画面,使课堂教学直观易懂,易于接受和理解,有传统教学无可比拟的优越性,极大地丰富了课堂教学。本文就如何运用多媒体课件提高《机械基础》课程的教学效果及应注意的问题进行了阐述。     

多媒体创作工具Authorware及其在开发中的应用

本文介绍了多媒体创作工具的基本知识,并以制作《Ｉｎｔｅｒｎｅｔ循序渐进》课件为例,重点解析了多媒体创作工具Ａｕｔｈｏｒｗａｒｅ的几个技术应用要点。该课件提供了多种人机交互方式,内容丰富并兼有容错功能和帮助系统,具有较高的实用价值。     

浅谈《文献检索》多媒体教学软件的特点及设计

本文介绍《文献检索》CAI课件的主要特点是即有大量的多媒体内容,又有数据的查询,所以用Authorware5.0和Delphi有机地结合在一起,Authorware用于处理多媒体内容,Delphi用于处理数据库信息。     

《网页配色训练系统》课件的设计与实践

《网页配色训练系统》课件是针对网页配色课程所构建的一个概念框架多媒体学习软件,是辅助学习者进行网页配色课程学习过程的一个概念框架训练而运用的,通过该软件的训练,让学习者从训练的过程中,构建配色视觉感知和配色方法,从而形成课程学习的知识意义上的建构。本文从课件设计的角度上,运用Authorware软件,阐述了《网页配色训练系统》课件的设计与实践。     

高职“大学计算机信息技术”网络课件的设计研究

结合实践从教学对象分析、教学目标制定、教学策略设计等方面对《大学计算机信息技术》网络课件的概念、内容、特点及其设计制作进行了针对性设计研究。     

论机房服务器运维管理

近年来,北京市垃圾渣土管理处逐步建设和运行了垃圾处理设施、在线监测计量、市容环境监督检查、建筑垃圾管理、环卫信息和其他业务信息化等应用系统,这些业务系统部署在42台服务器等硬件设备上。服务器作为承载信息系统的基础,保证服务器的良好运行,从而提高信息系统的稳定性,是机房运维管理人员需要研究的课题。结合工作实际,讲解本单位服务器的运维管理。     

智能电量表与PLC的MODBUS通讯实现

通过微山污水处理厂的工程实例,详细介绍了工程中常用的电量表与施耐德PLC通过MODBUS通讯的实现方法.对类似的工程有一定的参考作用.     

污水处理厂的再生水工艺自控系统

本文以营口污水处理厂再生水自动化控制系统为例,详细介绍了该控制系统的配置和功能。目前,这套系统已经运行了两年多,不仅节省了劳动力、提高了管理水平,而且获得了较高的经济效益。     

Application of Bayesian Network Learning Methods to Waste Water Treatment Plants

Bayesian Networks have been proposed as an alternative to rule-based systems in domains with uncertainty. Applications in monitoring and control can benefit from this form of knowledge representation. Following the work of Chong and Walley, we explore the possibilities of Bayesian Networks in the Waste Water Treatment Plants (WWTP) monitoring and control domain. We show the advantages of modelling knowledge in such a domain by means of Bayesian networks, put forth new methods for knowledge acquisition, describe their applications to a real waste water treatment plant and comment on the results. We also show how a Bayesian Network learning environment was used in the process and which characteristics of data in the domain suggested new ways of representing knowledge in network form but with uncertainty representations formalisms other than probability. The results of applying a possibilistic extension of current learning methods are also shown and compared.     

基于Solid Edge的飞机雷达热交换机设计

介绍了雷达热交换机的机械设计方案,阐述了Solid Edge的功用以及采用Solid Edge设计雷达热交换机机械零部件机构的过程,以及利用装配环境进行零部件装配和二维工程图设计环境进行二维工程图输出的过程。     

A toolbox to find the best mechanistic model to predict the behavior of environmental systems

Reliable prediction of the long-term behavior of environmental systems such as Municipal Solid Waste (MSW) landfills is challenging. While many driving forces influence this behavior, characterization of them is limited by measurement techniques. Therefore, a model structure for reliable prediction needs to optimally combine all measured information with suitable mechanistic information from literature. How to get such an optimal model structure? This study presents a toolbox to find and build the model structure that describes an environmental system as close as possible. The toolbox combines environmental frameworks to include all suitable mechanistic information; it fully couples kinetic and equilibrium reactions and contains multiple resources to obtain biogeochemical parameters. Several possible optimal model structures are quickly built and evaluated with objective statistical performance criteria obtained via Bayesian inference. By applying the novel methodology, we select the best model structure for anaerobic digestion of MSW in full scale landfills.     

Continuous-discrete simulation-based decision making framework for solid waste management and recycling programs

Solid waste produced as a by-product of our daily activities poses a major threat to societies as populations grow and economic development advances. Consequently, the effective management of solid waste has become a matter of critical importance for communities. However, solid waste management systems are inherently large-scale, diverse, and subject to many uncertainties, and must serve numerous stakeholders with divergent objectives. In this study, we propose a simulation-based decision-making and optimization framework for the analysis and development of effective solid waste management and recycling programs. The proposed solution includes a database and two main modules: an assessment module and a resource allocation optimization module. The assessment module identifies the sources of uncertainties in the system, which are then parameterized and incorporated into the resource allocation optimization module. The resource allocation optimization module involves a novel discrete–continuous model of the system under consideration, in which the continuous nature of decision variables is maintained while inherently discrete processing and transfer operations are accurately captured. The model operates with respect to the waste types and characteristics, costs, environmental impacts, types, location and capacities of processing facilities, and their technological capabilities. Then, an optimization mechanism embedded in the resource allocation optimization module solves the multi-criteria problem of the allocation of limited resources by simultaneously optimizing all relevant decision variables, evaluating performance in real-time via the model. Here, the optimum solution is considered as the combination of parameters that will lead to the highest recycling rate with minimum cost. The proposed framework has been successfully demonstrated for the Miami-Dade County Solid Waste Management System in the State of Florida.     

Optimizing Municipal Solid Waste collection using Chaotic Particle Swarm Optimization in GIS based environments: A case study at Danang city,Vietnam

Municipal Solid Waste (MSW) is an increasing concern at any municipality in the world, and is one of the primary factors that contribute greatly to the rising of climate change and global warming. MSW collection and disposal especially in the context of developing countries are indeed the urgent requirements for the sustainable development of environment and landscape, which rule over the quality-of-life and life expectancy of human being. In this paper, we concentrate on MSW collection at Danang city, which is one of four largest municipalities in Vietnam having high quantity of the average waste load per person and is bearing negative impacts of climate change such as severe weather conditions and natural disasters as a result. A novel vehicle routing model for the MSW collection problem at Danang city is presented. A novel hybrid method between Chaotic Particle Swarm Optimization and ArcGIS is proposed to generate optimal solutions from the vehicle routing model of Danang. Experimental results on the real dataset of Danang show that the proposed hybrid method obtains better total collected waste quantity than the relevant ones including the manual MSW collection procedure that is currently applied at this city.     

定海污水处理厂计算机自动控制系统

舟山市定海污水处理厂为了实现污水处理后达标排放,同时提高污水处理厂的现代化管理水平,大幅度降低污水处理厂工作人员的劳动强度,达到科学、安全、可靠生产运行的目的,采用了计算机自动控制系统;根据舟山市定海污水处理厂的实际情况,讨论了该自动控制系统的设计思路,尤其对该系统主要工艺部分自动控制的控制策略的设计原理及实现方法进行详细的分析,并通过在现场的实地调试及系统目前良好的运行状态,证明了所设计方法的正确性及可靠性.     

Waste collection vehicle routing problem with time windows

In this paper, we address a real life waste collection vehicle routing problem with time windows (VRPTW) with consideration of multiple disposal trips and drivers’ lunch breaks. Solomon's well-known insertion algorithm is extended for the problem. While minimizing the number of vehicles and total traveling time is the major objective of vehicle routing problems in the literature, here we also consider the route compactness and workload balancing of a solution since they are very important aspects in practical applications. In order to improve the route compactness and workload balancing, a capacitated clustering-based waste collection VRPTW algorithm is developed. The proposed algorithms have been successfully implemented and deployed for the real life waste collection problems at Waste Management, Inc. A set of waste collection VRPTW benchmark problems is also presented in this paper.Waste collection problems are frequently considered as arc routing problems without time windows. However, that point of view can be applied only to residential waste collection problems. In the waste collection industry, there are three major areas: commercial waste collection, residential waste collection and roll-on-roll-off. In this paper, we mainly focus on the commercial waste collection problem. The problem can be characterized as a variant of VRPTW since commercial waste collection stops may have time windows. The major variation from a standard VRPTW is due to disposal operations and driver's lunch break. When a vehicle is full, it needs to go to one of the disposal facilities (landfill or transfer station). Each vehicle can, and typically does, make multiple disposal trips per day. The purpose of this paper is to introduce the waste collection VRPTW, benchmark problem sets, and a solution approach for the problem. The proposed algorithms have been successfully implemented and deployed for the real life waste collection problems of Waste Management, the leading provider of comprehensive waste management services in North America with nearly 26,000 collection and transfer vehicles.