就业导向的网络工程应用型人才培养体系创新与实践

为了满足社会对专业化高技能网络人才的需求,提升学生的就业能力,在对网络工程专业人才需求状况及各就业方向知识点需求分析基础上,以湖南城市学院网络工程专业建设为例,提出了一套以学生就业为导向的网络工程应用型人才培养创新体系。在探索应用型人才培养实践中,构建以专业工程师素质为特征的应用型人才培养模式、制订注重行业特色的应用型人才培养课程体系、实施以工程能力训练为特色的实践教学体系、构筑产、学、研合作教育途径、建立教学质量实时监控与保障体系。经初步教学实践证明,应用该创新体系取得了很好的教学效果。     

以就业为导向的网络工程专业实践教学体系

针对以就业为导向的网络工程人才培养问题,分析网络工程实践教学培养目标、网络工程工作流程和所需专业能力,探讨实践课程设置、实践教学实施、实验室和实习基地建设、师资队伍建设以及实践教学评价体系等构建网络工程实践教学体系的相关问题,提出以就业为导向的网络工程专业实践教学体系。     

网络工程专业实践教学体系建设初探

以我校网络工程专业设置为背景,从实践教学内容、网络实验室和师资队伍方面介绍实践教学体系建设过程中的探索。其中,着重阐述实践教学内容建设,包括课程实验、课程设计、专业实习和综合设计等环节。实践结果表明,本文提出的网络工程专业实践教学体系建设方案效果较好,有利于提高教学质量和为社会培养高质量的网络技术人才。     

网络工程新办专业实践教学研究

分析网络工程专业实践教学现状与网络岗位职业能力需求,以许昌学院应用型人才培养目标为导向,从网络工程专业的实践教学培养目标、实践教学体系、实践教学保障体系等方面进行探讨,提出突出实践能力、职业能力和创新能力培养的实践教学模式。     

基于大类教改的网络工程特色专业建设研究

随着全球信息时代的到来,网络工程在维护国家安全和发展利益中的战略地位显得更为重要,这就需要高校培养出更多的网络工程创新应用型人才,而大类招生和教改对传统的网络工程专业建设又提出了新的课题。本文以西安财经学院为例,对在大类教改下当前网络工程的特色专业建设进行了分析和研究,从大类教改的本质、特色专业建设、强化实践教学、创新人才培养模式等方面对网络工程专业的定位、发展和大类培养的方案给出了建议和对策。     

基于产学合作的地方高校网络工程专业创新人才培养

在新工科与"卓工"2.0背景下,针对网络工程专业面临内涵建设与人才培养转型升级的问题,提出地方高校通过产学合作促进网络工程专业综合改革,提升专业教育教学质量和创新人才培养机制,以青岛大学与网络企业开展产学合作协同育人为例,阐述地方高校通过教育部产学合作协同育人项目优化专业课程知识体系、丰富专业课程实验内容、提升专业教师实践技能培训、构建专业学生"阶梯式竞赛"梯队。     

数据库系统原理课程的立体化教材建设探索

针对计算机专业数据库系统原理课程的教学实际,分析了国内外高校数据库系统原理课程的教材建设现状。按照杭州电子科技大学计算机学院计算机科学与技术、网络工程、物联网工程、数字媒体技术等专业对数据库教学的共性要求和各自特点,结合教学研究、教学实践和教学理念,提出了数据库系统原理课程高水平立体化教材建设方案,并倡导面向能力培养、提倡三大创新、以教材为核心的教学模式改革。     

网络工程专业实践教学研究

分析了网络工程专业加强实践教学的意义。通过对人才能力的分析,提出了适应专业人才培养的网络工程实践教学体系。深入研究了在该模式下网络实践环境的建设问题,通过把真实网络实验平台和虚拟实验环境结合的方法,实现实验效率最大化。     

基于应用型人才培养的网络工程技术课程群建设

针对地方高等院校应用型人才培养目标需求,分析网络工程技术课程群建设中普遍存在的问题,结合相关大学网络工程技术课程群的建设过程,阐述课程群建设原则和建设目标,提出将知识融合、实践教学体系建设和教学队伍建设相结合的课程群建设方法。     

试析新形势下网络工程专业实践教学体系架构

在当今计算机网络技术飞速发展的新形势下,应用型本科计算机网络工程专业的教学应当响应时代要求,架构起网络工程专业实践教学新体系,为社会培养出有丰富理论知识和实践经验的应用型网络人才.     

多元密集型信息安全实践创新能力培养研究

探讨大学生实践教学模式和运行机制的特点,以提高教学质量为核心,结合社会需求和科学技术发展,提出并构建一种符合科学性、先进性和教育教学普遍规律,具有明显可操作性、可评估性和示范性的创新实践教学方法,即多元密集型实践创新能力培养体系。基于信息对抗技术专业的试验,结果表明该方案具有明显的特色,支持多元化的创新实践知识和技术密集型、实践资源密集型、实践活动和成果密集型的实践教学活动和过程,学生参与积极性高,受益面广,在提升学生质素和能力方面取得了良好的效果。同时,该方案社会效益明显,后效性强,具有很好的辐射示范作用,可以推广到其它专业、学科、学科群、学校,形成较为持久的影响。     

Innovation among different classes of software development organizations

Software development organizations (SDOs) innovate in diverse ways. In this paper, based on an extensive review of innovation typologies, we develop a theory‐driven typology of SDO innovator classes. We theorize about the driving forces behind these classes, with specific attention given to knowledge‐based dispositions that relate to the SDO's knowledge‐based competencies in technology appropriation, technology generation, and network intensity within ecological niches. Through a survey of 136 SDOs, which adopted Internet technologies during 1995‐2006, we empirically verify that these classes also determine different ways that SDOs innovate around software services they provide to their clients. Our findings suggest that the knowledge‐based dispositions of different SDO innovator classes impact how they innovate. Overall, the study involves theorizing around different types of innovation behaviours and associated knowledge‐based factors that influence the way SDOs innovate.     

基于SOFM的一种新型粗糙集神经网络研究

结合粗糙集理论的强大定性分析能力和SOFM网络收敛速度快和易于可视化能力,该文提出了一种基于SOFM网络的新型粗糙集神经网络,给出了该模型的流程图,描述了系统各组成部分的工作原理。应用一实例验证了该模型在故障诊断中的有效性,结果表明,新模型较好地解决了训练样本的大小、样本质量等对人工神经网络的精度以及泛化能力有直接影响的问题,简化了神经网络的结构,缩短了训练时间,并实现了结果可视化,得到了故障可视拓扑映射图。     

Teaching materials to enhance the visual expression of Web pages for students not in art or design majors

The explosive growth of the Internet has made the knowledge and skills for creating Web pages into general subjects that all students should learn. It is now common to teach the technical side of the production of Web pages and many teaching materials have been developed. However teaching the aesthetic side of Web page design has been neglected, and students not in art or design majors are normally confronted with difficulties when they do expressive design of Web pages.     

Connectivity and concentration in airline networks: a complexity analysis of Lufthansa's network

Information, communication and transport networks have always been in a state of flux, while they also influence each other. Extensive research efforts have been made to investigate the dynamics in the structure and use of networks, for example, by means of network geometries, Small-World effects and Scale-Free phenomena. We will illustrate these new developments on the basis of airline network evolution. Using Lufthansa's networks as an example, this paper aims to show the empirical relevance of various network indicators – such as connectivity and concentration – for understanding changing patterns in airline network configurations. After an extensive discussion of various statistical results, a decision-aid method, viz. multi-criteria analysis, is used to investigate the robustness of our findings. The results highlight the actual strategic choices made by Lufthansa for its own network, as well in combination with its partners in Star Alliance.     

OBS网络中基于缓存和分割的冲突解决方法研究

光突发交换网络被认为是一种新型的IPoverWDM光网络,其中突发包在核心路由器中发生的冲突问题是一个关键的研究课题。解决冲突的方法可以分为利用缓存和不利用缓存两大类。目前对这两种方法进行的单独研究很多,这就存在有很大的局限性,因为独立的研究并不能灵活适应网络环境的需求,这样就不能达到优化网络的目的。本文针对这样的局限性,首先列出了几种光缓存结构,而后以一种结构较优越的缓存结构和分割策略进行了综合性能比较,分析了两种策略各自的优势,得出的一些有用结论对于以后实际光突发交换网络的优化设计具有一定的理论指导意义。     

A study of overheads and accuracy for efficient monitoring of wireless mesh networks

IEEE 802.11-based wireless mesh networks are being increasingly deployed in enterprize and municipal settings. A lot of work has been done on developing measurement-based schemes for resource provisioning and fault management in these networks. The above goals require an efficient monitoring infrastructure to be deployed, which can provide the maximum amount of information regarding the network status, while utilizing the least possible amount of network resources. However, network monitoring involves overheads, which can adversely impact performance from the perspective of the end user. The impact of monitoring overheads on data traffic has been overlooked in most of the previous works. It remains unclear as to how parameters such as number of monitoring agents, or frequency of reporting monitoring data, among others, impact the performance of a wireless network. In this work, we first evaluate the impact of monitoring overheads on data traffic, and show that even small amounts of overhead can cause a large degradation in the network performance. We then explore several different techniques for reducing monitoring overheads, while maintaining the objective (resource provisioning, fault management, and others) that needs to be achieved. Via extensive simulations and experiments, we validate the efficiency of our proposed approaches in reducing overheads, their impact on the quality of data collected from the network, and the impact they have on the performance of the applications using the collected data. Based on results, we conclude that it is feasible to make the current monitoring techniques more efficient by reducing the communication overheads involved while still achieving the desired application-layer objectives.     

基于校园网的视频课件点播系统设计与实现

随着多媒体网络教学运用的普及,校园网中的数据传输格式也相应发生了变化,单纯的文字、图片和动画已不能满足日常的教学要求,各种音频、视频影像教学素材应运而生,如何在校园网中进行音视频文件的传输并使这些庞大的数据流得到有效应用,开发具有自己知识产权的基于校园网的视频点播系统具有重要的实际应用价值。文中详细介绍利用SQL Server2000数据库结合ActiveX控件在MacromediaMx2004开发环境中该系统的设计与开发步骤。该系统在安徽财经大学校园网上测试通过。     

A neural network-based real-time robot tracking controller using position sensitive detectors

Abstract: A real-time visual servo tracking system for an industrial robot has been developed. Instead of a charge coupled device (CCD), a position sensitive detector (PSD) is used as the real-time vision sensor due to its fast response (the light position is transduced to analogue current). A neural network learns the complex association between the 3D object position and its sensor reading, and uses it to track that object, either moving or stationary. It also turns out that this scheme lends itself to a user-friendly way to teach workpaths for industrial robots. Furthermore, for real-time use of the neural net, an efficient neural network architecture has been developed based on the concept of input space partitioning and local learning. Real experiments indicate the system's characteristics of fast processing and learning as well as optimal usage of network resources.     

网络技术课程与应用信息技术之初探

随着职业学校课程教学改革的深入开展,教师在教育教学过程中怎么教、教什么;采取什么样的教学策略,需要教师研究与思考的。以网络技术和信息技术为核心的信息技术已成为拓展人类能力的创造性工具,需要把各种技术手段恰当地融合到课程中,本文针对信息技术与网络技术课程的融合需要进行教学策略的改变、教学内容及内容的呈现形式改变、学生的学习方式改变加以阐述,以各种形式、多种手段帮助学生学习,进一步调动学生的学习积极性。