Multi‐objective particle swarm optimisation of complex product change plan considering service performance

Design change is an inevitable part of the product development process.This study proposes an improved binary multi‐objective PSO algorithm guided by problem char-acteristics(P‐BMOPSO)to solve the optimisation problem of complex product change plan considering service performance.Firstly,a complex product multi‐layer network with service performance is established for the first time to reveal the impact of change effect propagation on the product service performance.Secondly,the concept of service performance impact(SPI)is defined by decoupling the impact of strongly associated nodes on the service performance in the process of change affect propagation.Then,a triple‐objective selection model of change nodes is established,which includes the three indicators:SPI degree,change cost,and change time.Furthermore,an integer multi‐objective particle swarm optimisation algorithm guided by problem characteristics is developed to solve the model above.Experimental results on the design change problem of a certain type of Skyworth TV verify the effectiveness of the established optimisation model and the proposed P‐BMOPSO algorithm.

Length matters:Scalable fast encrypted internet traffic service classification based on multiple protocol data unit length sequence with composite deep learning

As an essential function of encrypted Internet traffic analysis,encrypted traffic service classification can support both coarse-grained network service traffic management and security supervision.However,the traditional plaintext-based Deep Packet Inspection(DPI)method cannot be applied to such a classification.Moreover,machine learning-based existing methods encounter two problems during feature selection:complex feature overcost processing and Transport Layer Security(TLS)version discrepancy.In this paper,we consider differences between encryption network protocol stacks and propose a composite deep learning-based method in multiprotocol environments using a sliding multiple Protocol Data Unit(multiPDU)length sequence as features by fully utilizing the Markov property in a multiPDU length sequence and maintaining suitability with a TLS-1.3 environment.Control experiments show that both Length-Sensitive(LS)composite deep learning model using a capsule neural network and LS-long short time memory achieve satisfactory effectiveness in F1-score and performance.Owing to faster feature extraction,our method is suitable for actual network environments and superior to state-of-the-art methods.

Coordination of Multi-leaders and Multi-followers in Supply Chain of Value-Added Telecom Services

In order to study supply chain of the telecom value-added service,a multi-leaders and multi-followers Stackelberg game model with multiple telecom operators and multiple service providers whose income is composed of information fee division and advertisement was constructed.Then a demonstration was simulated,and the results were compared with the situation of service providers' income only from information fee division.The simulated and compared results indicate that,the enterprises in the supply chain have the nature of pursuing the maximum profits in capital markets;meanwhile,first-mover advantages and some enterprise can get more profits with the information asymmetry.

DS-CDMA system outer loop power control and improvement for multi-service

When a new user accesses the CDMA system, the load will change drastically, and therefore, the advanced outer loop power control （OLPC） technology has to be adopted to enrich the target signal interference ratio （Silt） and improve the system performance. The existing problems about DS-CDMA outer loop power control for multi-service are introduced and the power control theoretical model is analyzed. System simulation is adopted on how to obtain the theoretical performance and parameter optimization of the power control algorithm. The OLPC algorithm is improved and the performance comparisons between the old algorithm and the improved algorithm are given. The results show good performance of the improved OLPC algorithm and prove the validity of the improved method for multi-service.

Information perception and feedback mechanism and key techniques of multi-modality human-robot interaction for service robots

With the increasing of the elderly population and the growing hearth care cost, the role of service robots in aiding the disabled and the elderly is becoming important. Many researchers in the world have paid much attention to heaRthcare robots and rehabilitation robots. To get natural and harmonious communication between the user and a service robot, the information perception/feedback ability, and interaction ability for service robots become more important in many key issues.

The trend of tourism service integration and promotion from the perspective of multiculturalism

Multicultural education advocates the learning process and their own culture and experience together, advocating respect culture, advocate equality, difference and compensation, to set the multicultural curriculum, enhance the academic achievement of minority students and cultivate multicultural teachers＇ quality in three aspects as the starting point, the implementation of the education fair. Following the principle of equality, difference and compensation of education equality, its essence is to promote the equality of educational opportunities and provide a new angle of view and new measures for people to realize and implement educational equity. Multiculturalism is the main theme of today＇ s cultural development. It is both an opportunity and a challenge for the core values of the school. The cultivation of school core values under the impact of multi culture has adapted to the requirements of multicultural development, is conducive to re orientation of schools and reshaping the core values of teachers and students. From a multicultural perspective, it is helpful to promote the diversification of school core values from the perspectives of educational philosophy, organizational structure and cultural studies. The smaller scale of tourism enterprises in China, the lack of investment ability of enterprises and the low attention of tourists to the service quality of tourism have affected the development of tourism service innovation in our country.

Service Model for Multi-Provider IP Service Management

In order to solve the problems associated with Internet IP services management, a generic service model for n multi-providcr IP service management is proposed, which is based on a generalization of the bandwidth broker idea introduced in the differentiated services （DiffServ） environment. This model consists of a hierarchy of service brokers, which makes it fit into providing end-to-end Internet services with QoS support. A simple and sealable mechanism is used to communicate with other cooperative domains to enable customers to dynamically setup services connections over multiple DiffServ domains. The simulation results show that the proposed model is real-time, which can deal with many flow requests in a short period of time, so that it is fit for the service management in a reasonably large network.

Composition of Web Services of Multi-Population Adaptive Genetic Algorithm Based on Cosine Improvement

Web quality of service (QoS) awareness requires not only the selection of specific services to complete specific tasks, but also the comprehensive quality of service of the whole web service composition. How to select the web service composition with the highest comprehensive QoS is a NP hard problem. In this paper, an improved multi population genetic algorithm is proposed. Cosine adaptive operator is added to the algorithm to avoid premature algorithm caused by improper genetic operator and the disadvantage of destroying excellent individuals in later period. Experimental results show that compared with the common genetic algorithm and multi population genetic algorithm, this algorithm has the advantages of shorter time consumption and higher accuracy, and effectively avoids the loss of effective genes in the population.

COMBINED ADMISSION CONTROL AND SCHEDULING IN MULTI-SERVICE NETWORKS

Providing the required metrics for different service respectively is a basic characteristic in multi-service networks. The different service can be accessed and forwarded differently to provide the different transmission performance. The state information between admission control and scheduling can be exchanged each other by the defined correlation coefficient to adjust the flow distribution in progress. The priority queue length measured by scheduler implicitly can describe the priority flows load. And the fair rate can describe the non-priority flows load. Different admission decision will be made according to the state of scheduler to assure the time-delay upper threshold for the priority flows under heavy load and the fairness for elastic flows in light load, respectively. The stability condition was conduced and proved. Simulation results show the policy can ensure both the delay for the priority flows and the minimal throughput for non-priority flows.

Modeling and analysis of multiservice queuing system for WiMAX network

An analytical queuing model is proposed for the classified services of WiMAX network. Simulation model is also developed that corresponds to the Markovian analytical model using Java modeling tool （JMT）. This is a new and efficient discrete event tool for queuing network modeling and workload analysis. QoS metrics have been evaluated for the multi-rate traffic in multiple scenari- os. Results obtained from simulation are compared for validation and analysis. Outcomes show that the proposed model is more efficient than the conventional method by improving residence time, re- sponse time, increasing system throughput and efficiency at queuing level with a slight degradation in call acceptance factor.

Decision-Making Model of Public Service Facility Configuration in Multi-agent Communities and Its Application

The decision.making process of the public service facility configuration in multi.agent community is usually simplistic and static. In order to reflect dynamic changes and interactions of all behavior subjects induding of residents, real estate developers and the government, a decision-making model of public service facility configuration according to the multi-agent theory was made to improve the efficiency of the public service facility configuration in community and the living quality of residents. Taking a community to the cast of Jinhui Port in Fengxian District in Shanghai for example, the model analyzed the decision-makers＇ adaptive behaviors and simulated the decision.making criteria. The results indicate that the decision-making model and criteria can be well of satisfying the purpose of improving validity and rationality of public service facility configuration in large community.

THE STUDY OF SCP OVERLOAD CONTROL IN MULTI-SERVICE ENVIRONMENT

This paper first gives a SCP abstract model, then SCP’s overload detection and maximum processing capability are discussed quantitatively. Based upon dynamic adjustment, a new two-level SCP overload control algorithm is proposed. Theoretical analysis and simulation prove the algorithm’s effectiveness and fairness.

Multi-Layer Tree Hierarchical Architecture Based on Web Service

To solve the problem of the information share and services integration in population information system, we propose a multi-layer tree hierarchical architecture. The command （Web Service Call） is recursively muhicast from top layer of tree to bottom layer of tree and statistical data are gatbered from bottom layer to top layer. We implemented the architecture by using Web Services technology. In our implementation, client program is the requestor of Web Services, and all leaf nodes of the last layer are only the provider of Web Services. For those nodes of intermediate layers, every node is not only the provider of Web Services, but also the dispatcher of Web Services. We take population census as an cxample to describe the working flow of the architecture.

基于Web Service技术的综合物流模型

对WebService技术的基本特征进行了探讨,并应用WebService和SOAP的开放特性,设计企业综合物流系统,解决了企业物流跨网络、跨平台数据通信以及系统间灵活集成的问题。

基于Web Services的GIS多层体系结构研究

通过分析通用的Web Services架构和OWS技术体系结构,提出了一个基于Web Services的多层GIS组件体系结构,介绍了该结构的特点及各服务组件的功能。最后给出了该体系结构的一个实现技术方案,并详细分析和讨论了其中Web应用服务器、应用服务器及数据服务器三部分在设计与实现中关键技术的处理策略。

基于Web services的分布式企业信息整合模型

针对目前电力系统的信息整合需求,设计基于Web services的电力系统多层分布式信息整合模型。该模型可以跨越不同企业数据源、应用体系和开发语言的界限,以服务的形式封装数据和应用并对外发布,供用户调用所需信息。实践结果表明,该模型的应用效果良好。

基于Web Service跨平台空间信息服务模型

对目前网络空间信息服务系统存在的问题和现有的解决方案进行分析 ,构建基于WebService技术的跨平台 (Linux/Unix ,Windows)空间信息服务模型 .

基于Web Services的MAS管理与通信平台

本文提出并实现了基于Web Services技术的多智能体系统管理与通信框架平台,该平台实现了基于UDDI的agent注册管理和基于SOAP的消息传递机制;该平台还提供了系统管理和监控等功能。该平台能够有效提高Agent系统的开发部署效率。

Web Services应用在CORBA环境中的实现原理与方法

针对在CORBA环境下使用Web Services时存在的问题,通过对分布式网络环境下的Web Services与CORBA的链接机制的分析,将Web Services作为建立在CORBA中间件之上的中间件,设计了Web Services与CORBA的双层中间件架构的链接模型,从而解决了广域网络用户与子网络中的CORBA对象的通信和互操作问题,同时提出了Web Services在CORBA中的应用方法,并对其中的XML数据封装等部分的实现和信息交互程序流程等关键问题进行了研究,最后给出在CORBA环境下的多级电力监控网络的Web应用实例。

开发基于Web Services的多层分布式数据库

WebServices是新一代Internet分布式应用框架,代表了下一代网络计算和企业应用的必然趋势,它将业务处理与客户交互分离,有着巨大的应用需求和市场潜力。多层分布式数据库克服了传统应用系统诸多弊端,是目前企业应用的主流模式。将多层分布式数据库建立在WebServices之上,可以充分发挥两者的优势,满足开放、通用和安全的要求。因此基于WebServices的多层分布式数据库是适应企业网络应用的需求而出现的必然结果,代表了目前和未来网络和数据库相关技术研究和发展的必然趋势。