An Investigation Into the Needs and Challenges of County-Level Family Education Guidance Services and Corresponding Improvement Measures

The delivery of targeted family education guidance services is essential for establishing a three-in-one education model that encompasses families,schools,and communities.It is also the key to creating a favorable educational environment that promotes the comprehensive and healthy development of individual students.To gain a comprehensive understanding of family education characteristics and trends in Chinese counties,accurately tap into the educational needs of parents,and effectively identify strengths and weaknesses in family education guidance services,this paper employed a quantitative research method based on a questionnaire survey and interview data from J district of C city after years of continuous monitoring of the quality of family education in the area,aiming to explore these issues and put forward several suggestions for improvement.The results indicate that the family learning environment and atmosphere in the district are generally favorable,while parental educational competence requires further improvement.Parents express a strong desire for interactive,systematic,and fragmented family education guidance from schools.Most parents acknowledge the significance of receiving guidance on family education,yet they are disinclined to actively engage in learning-related activities.While the operational mechanisms of county-level family education guidance services have been continuously improved,there is a need for greater overall coordination.Furthermore,the potential of school-led family education guidance services has yet to be fully tapped,and the scientific and professional standards of such guidance need to be further enhanced.Based on the aforementioned findings,we propose recommendations for improvement.Using J district’s effective improvement practices in management,curriculum,and teams as an example,we intend to explore practical ways to promote county-level family education guidance services and provide a valuable reference for the establishment of a comprehensive and effective system to improve such services.

An approach for QoS measurement and web service selection sureness

Web services have gained popularity m recent years anu prowue a new moue, u~ w^u, w,,,~,, ,^- cilitates interaction of scientific and business applications through the Internet. More often, several services with similar functionality are available from a large and changing number of service provid- ers. Quality of Service （QoS） is the dominant factor in service selection and is of great importance to users. In this paper, we propose a model for QoS measurement and web services selection. The model consists of QoS model, QoS monitoring, QoS comparison and service selection with a QoS feedback mechanism. The most suitable service is to take into account the agreed QoS, monitoring is done during invocation phase and if any deviation is recorded, next suitable service is selected. Fi- nally the model is proved to be feasible and effective by simulation experiments.

The Establishment of Measurement Model and Implementation Strategy for Service Productivity

As a key factor of economic growth, productivity has been valued in the academic community. Today, with the rapid development of service industry, the research for service productivity has also attracted wide attention. However, in the service industry, because of its own characteristics and properties, measurement of service productivity could not apply for the traditional productivity measurement methods simply. This research first has put out the constitution model of service productivity, and thus put out the measurement model of service productivity. And explains that service productivity is a function which contains internal efficiency, external efficiency, and capacity efficiency. In service productivity, external efficiency is the key one, internal efficie and capacity efficiency should also be given considerations. Eventually, the strategy of implementing measurement of service productivity have been proposed ncy the

Efficacy of Alternative Service Quality Measures to Predict Satisfaction and Future Intention

Purpose:This research focuses on comparing various service quality measures including disconfirmation measures(performance-minus-importance and performance-minus-expectation),performance-only measure,and importance-weighted measures(importance-weighted performance-only and importance-weighted disconfirmation)in a festival setting.It also explores the relationship between the constructs of service quality and other variables including visitors’perceptions of overall service quality,overall satisfaction,and future intentions.Reliability,convergent validity,discriminant validity,and predictive validity of five service quality measures are tested and compared.The result shows that the importance-weighted performance-only measure exhibits the highest reliability and validity.

A Service Discovery Approach Based on a Quantitative Similarity Measure for M-Tourism Platforms

This paper presents a localization architecture for an m-tourism services delivery platform. The aim of the system is to deliver services for nomads (e-tourists) according to their localization and according to the results given by the search engine. This engine is based on a quantitative similarity measure. The discovered services are presented via a Web Map Service. Moreover, the platform integrates an adaptation sub-system for heterogeneous environments and an e-negotiation module.

Iterative Dichotomiser Posteriori Method Based Service Attack Detection in Cloud Computing

Cloud computing(CC)is an advanced technology that provides access to predictive resources and data sharing.The cloud environment represents the right type regarding cloud usage model ownership,size,and rights to access.It introduces the scope and nature of cloud computing.In recent times,all processes are fed into the system for which consumer data and cache size are required.One of the most security issues in the cloud environment is Distributed Denial of Ser-vice(DDoS)attacks,responsible for cloud server overloading.This proposed sys-tem ID3(Iterative Dichotomiser 3)Maximum Multifactor Dimensionality Posteriori Method(ID3-MMDP)is used to overcome the drawback and a rela-tively simple way to execute and for the detection of(DDoS)attack.First,the pro-posed ID3-MMDP method calls for the resources of the cloud platform and then implements the attack detection technology based on information entropy to detect DDoS attacks.Since because the entropy value can show the discrete or aggregated characteristics of the current data set,it can be used for the detection of abnormal dataflow,User-uploaded data,ID3-MMDP system checks and read risk measurement and processing,bug ratingfile size changes,orfile name changes and changes in the format design of the data size entropy value.Unique properties can be used whenever the program approaches any data error to detect abnormal data services.Finally,the experiment also verifies the DDoS attack detection capability algorithm.

Dominant AHP as Measuring Method of Values in Service Society

Today, service science provides the authors with a new paradigm, as well as new values, which are able to be co-createa through the supportive efforts of people, facilitated by advanced technologies. Thus, the author, believing that analyzing and interpreting the characteristics and the properties of service science is significant, proves the effectiveness and validity of Dominant AHP as a measuring method of economic and service values in this paper.

Reducing semantic bias of annotations for semantic web service discovery

In order to improve the effectiveness of semantic web service discovery, the semantic bias between an interface parameter and an annotation is reduced by extracting semantic restrictions for the annotation from the description context and generating refined semantic annotations, and then the semantics of the web service is refined. These restrictions are dynamically extracted from the parsing tree of the description text, with the guide of the restriction template extracted from the ontology definition. New semantic annotations are then generated by combining the original concept with the restrictions and represented via refined concept expressions. In addition, a novel semantic similarity measure for refined concept expressions is proposed for semantic web service discovery. Experimental results show that the matchmaker based on this method can improve the average precision of discovery and exhibit low computational complexity. Reducing the semantic bias by utilizing restriction information of annotations can refine the semantics of the web service and improve the discovery effectiveness.

一种可扩展的Web Service QoS管理框架

Web Service是目前研究界和产业界广泛关注的技术之一.随着Web Service的广泛应用,研究者们普遍认识到,服务的非功能属性,即服务质量(Quality of Service,QoS)是面向服务的应用能否成功的关键因素之一.因此,研究者们尝试从多个角度对QoS相关问题展开了研究.然而,现有工作普遍关注基于QoS的动态服务选择和组装等上层应用技术,而对于如何获取、存储、度量QoS等基础支持技术研究较少,而这些基础性工作对QoS相关的研究工作具有显著的重要性.此外,不同应用领域对Web Service QoS的需求不尽相同,因此,需要有一套灵活的机制支持在QoS模型定义、QoS度量方法、QoS信息采集等方面体现出的领域特性.针对这个问题,文中提出了一个可扩展的Web Service QoS信息管理框架,详细分析了该框架涉及到的重要方法与核心技术,并给出了该框架在北京大学软件构件库系统中的设计决策和方案.最后,介绍了文中框架在一个863计划项目中的应用实例,该实例展示了用户根据其应用的领域需求对本框架进行扩展并进行Web Service QoS管理的方法,从而验证了本管理框架的可扩展性及实用性.

利用Web Services构建分布式远程综合监测系统

分析了当前煤炭企业信息化水平低,信息孤岛现象严重,应用系统间相互隔离无法协同工作以及更高层次的集成应用比较困难的问题,提出了采用Web Services构建分布式的多级综合监测系统,设计了该系统的体系结构,采用基于Web Services的Axis2框架,实现各机构之间Web服务的相互调用、相互集成,从而解决了不同平台间异构系统互操作以及数据多级综合利用的问题。并结合本系统的体系结构,实现了一个局矿两级的分布式远程综合监测系统。

Web Service分布式网络测量的研究和实现

针对当前网络性能监测工具在多域、异构的网络环境下定位困难及精度降低的问题,对面向服务网络性能监控框架(perfSONAR)进行了研究,设计服务管理中心、测量服务、存档服务等组件,整合可用的网络测量资源,构建基于Web Service的分布式网络测量系统,通过服务代理和管理中心交互实现测量组件间的共享和协作,及时发现并排除网络故障和瓶颈。实验结果表明,该系统为大规模分布式网络测量提供了一种可行实用的解决方案。

基于Web Service的测量标志点巡检管理系统的设计

从测量标志点成果管理现状分析,提出了基于Web Service技术的测量标志点巡检管理系统建设方案。同时从系统建设目标、体系结构设计、功能设计以及安全策略方面详述了如何利用ArcGIS、Android等平台的强大功能,对测量标志点进行科学有效的管理。

基于Web Services的嵌入式农业物联网测控系统

目前农业物联网测控系统数据交换普遍采用基于socket的简单通信。为解决使用socket通信产生的数据交换复杂,系统耦合性大的问题,将Web Services技术应用到linux的嵌入式农业物联网测控中,并给出了测控系统体系结构及软、硬件实现方法。Web Service技术使得嵌入式测控系统有了标准的数据表示格式和数据交换协议,提高了开发效率,便于系统修改、定制。实验结果表明,该系统性能稳定,无线数据采集与设备控制能达到实际需求,具有较高的实用性。

基于Web Service平台的虚拟仪器远程Web测控

在WebService网络平台支撑下,结合虚拟仪器技术、XML网络数据传输技术和COM组件模块技术,给出了虚拟仪器远程Web测控系统软件模型和相应软件技术实现。

Web Service在油水液位检测系统中的应用研究

针对现有油水液位检测系统开发中存在数据和数据处理方法共享不足的缺陷,提出了采用Web Service技术设计开发油水液位检测系统的思路。介绍了Web Service技术和电磁波油水液位测量原理,讨论了系统总体结构框架,设计了Web Service接口,完成了基于Web Service接口的面向底层设计和面向顶层设计,通过引用Web Service接口,实现了油水液位检测系统功能。结果表明,采用Web Service技术的油水液位检测系统在数据共享和分布式计算方面实现了程序到程序的交互,方便用户调用和管理。

基于Web Services的网络测量系统的研究与实现

在分析现有网络测量系统的基础上,文章实现了一个基于WebServices技术的网络测量系统,具有良好的可扩展性和可伸缩性,并且针对IPv6协议的出现开发了相应的测量模块,可以同时测量IPv4网络和IPv6网络的性能。

SDNMS: A Software Defined Network Measurement System for NFV Networks

As a promising technology to completely transform how we architect, deploy, operate and manage various networks, software-based Network Function Virtualization(NFV) enables hardware-independent, flexible, fast and efficient network service provision. With the increasing popularity of NFV paradigm, the Internet has also transformed to be a hybrid environment where NFV-based network entities coexist with traditional network devices. To facilitate our understanding, design, evaluate and manage of such novel network environment, there is a great need for a new NFV-compatible network measurement system which is still in absent so far. To bridge this gap, a system, named Software Defined Network Measurement System(SDNMS), is presented in this paper. Firstly, the architecture of SDNMS is proposed. In this architecture, a formal method to describe the working mode of the network measurement is defined. This method can also be utilized to generate a network measurement middle box(NMMB) in a specific location of the NFV network according to the customized description file, and to flexibly deploy the network measurement function. Secondly, the technology of virtual network measurement function(VNMF) combined with LXC is studied to form NMMB function. Thirdly, a control method is presented to control the start, stop, and update NMMB to form a specific network measurement system function. Finally, a prototype of SDNMS with network monitoring function to monitor network performance anomalies and locate faults is introduced. Experimental results have shown that SDNMS architecture and related technologies are feasible and effective to deploy and control network measurement functions in NFV networks. We hope SDNMS could provide a new method for practitioners to conduct network management and research at the age of NFV.

Web Services服务质量度量工具的研究

提出了一种基于API Hook技术的方法来对Web Services的服务质量(QoS)进行度量,该方法可以在Web服务的客户端和服务端度量多种QoS属性,具有客观化、自动化和轻量化的特点。还给出了一个基于该方法的度量工具原型实现。

基于Web Service的大规模网络测量平台的研究与实现

随着Internet规模的不断扩大,如何有效地对Internet网络的运行效率和运行质量进行监测和控制已经成为影响Internet发展的重要问题,因此,建立一个基于Internet的、可扩展的开放式网络测量平台,进行Internet网络性能的测量和管理是十分必要的。该文通过对平台的多种特性的分析,提出了大规模网络测量平台的基本体系架构;并通过将WebService技术和传统的分布式对象技术进行分析比较,认为WebService技术可以有效地解决平台面临的分布式异构计算等问题,从而给出了一个基于WebService的大规模网络测量平台的总体解决方案。

Mining and Modelling the Dynamic Patterns of Service Providers in Cellular Data Network Based on Big Data Analysis

Understanding the dynamic traffic and usage characteristics of data services in cellular networks is important for optimising network resources and improving user experience.Recent studies have illustrated traffic characteristics from specific perspectives,such as user behaviour,device type,and applications.In this paper,we present the results of our study from a different perspective,namely service providers,to reveal the traffic characteristics of cellular data networks.Our study is based on traffic data collected over a five-day period from a leading mobile operator's core network in China.We propose a Zipf-like model to characterise the distributions of the traffic volume,subscribers,and requests among service providers.Nine distinct diurnal traffic patterns of service providers are identified by formulating and solving a time series clustering problem.Our work differs from previous related works in that we perform measurements on a large quantity of data covering 2.2 billion traffic records,and we first explore the traffic patterns of thousands of service providers.Results of our study present mobile Internet participants with a better understanding of the traffic and usage characteristics of service providers,which play a critical role in the mobile Internet era.