基于计算机技术的邮政资源型物流信息网络的构建

本文通过已建立的网络型企业资源型物流网络运作的理论框架，结合邮政实际，分析了邮政资源型物流网络的三个构成层面及其运作模式，以农资邮政资源型信息网络为例，以邮政资源型综合计算机网络为基础。依靠DMS及DMS与TMS、WMS的接口信息，通过组织协同下的业务控制，实现农户对农资需求搜集与匹配满足。

我国电信增值业务的发展历程回顾及趋势

文章回顾了我国电信增值业务从无到市场逐步形成,从网络资源型增值业务再到内容型增值业务的服务阶段的发展历程,归纳和分析了现阶段增值电信业务市场在发展中主要呈现出几个特点,指出行业信息化服务类增值业务具有很大发展空间。

STUDY ON STRATEGY OF DYNAMIC JOINT ROUTING AND RESOURCE ALLOCATION IN LAYERED OPTICAL TRANSPORT NETWORKS

A layered network model for optical transport networks is proposed in this paper,which involves Internet Protocol(IP) ,Synchronous Digital Hierarchy(SDH) and Wavelength Division Mul-tiplexing(WDM) layers. The strategy of Dynamic Joint Routing and Resource Allocation(DJRRA) and its algorithm description are also presented for the proposed layered network model. DJRRA op-timizes the bandwidth usage of interface links between different layers and the logic links inside all layers. The simulation results show that DJRRA can reduce the blocking probability and increase network throughput effectively,which is in contrast to the classical separate sequential routing and resource allocation solutions.

Service-Oriented Network Virtualization Architecture for Internet of Things

As a key technology to realize smart services of Internet of Things（IoT）, network virtualization technology can support the network diversification and ubiquity, and improve the utilization rate of network resources. This paper studies the service-ori- ented network virtualization architecture for loT services. Firstly the semantic description method for loT services is proposed, then the resource representation model and resource management model in the environment of network virtualization are presented. Based on the above models, the service-oriented virtual network architecture for loT is established. Finally, a smart campus system is designed and deployed based on the service-oriented virtual network architecture. Moreover, the proposed architecture and models are verified in experiments.

Study on resource quantity of surface water based on phase space reconstruction and neural network

Proposed a new method to disclose the complicated non-linearity structure of the water-resource system, introducing chaos theory into the hydrology and water resources field, and combined with the chaos theory and artificial neural networks. Training data construction and networks structure were determined by the phase space reconstruction, and establishing nonlinear relationship of phase points with neural networks, the forecasting model of the resource quantity of the surface water was brought forward. The keystone of the way and the detailed arithmetic of the network training were given. The example shows that the model has highly forecasting precision.

Application of a Neural Network Technique for Prediction of the Water Quality Index in the Dong Nai River, Vietnam

Recent trends in environmental management of water resource have enlarged the demand for predicting techniques that can provide reliable, efficient and accurate water quality. In this case study, the authors applied the Artificial Neural Networks （ANN） to estimate the water quality index on the Dong Nai River flowing through Dong Nai and Binh Duong provinces. The information and data including 10 water quality parameters of the Dong Nai River at 23 monitoring stations were collected during the recorded time period from 2010 to 2014 to build water quality prediction models. The results of the study demonstrated that the Water Quality Index （WQI） forecasted with GRNN was very significant and had high correlation coefficient （R2 = 0.974 and p = 0.0） compared to the real values of the WQI. Moreover, the ANN models provided better predicted values than the multiple regression models did.

Suitability evaluation of regional coastal ecotourism based on SOM neural network model: a case study of Qingdao, Yantai, Weihai and Rizhao of Shandong Province

Development of coastal ecotourism has been a,focus of Shandong government, and the suitability evaluation of regional eoastai ecotourism is crucial for the reasonable plan and sustainable development of Shandong coastal ecotourism. By using MATLAB language to establish a SOM neural network model, this＇ paper evaluates the eoastal ecotourism suitability of four regions, Qingdao. Yantai, Weihai and Rizhao of Shandong Province and divides 33 subordinate regions of those four cities into four categories, i.e. regions poorly suitable for ecotourism resources, regions highly suitable for coastal ecotourism, regions secondly suitable for coastal ecotourism, regions ordinarily suitable.for coastal ecotourism, Related suggestions on development of regional coastal ecotourism have been given in the final conclusions.

Scheduling Scheme for Cellular-Based Machine-Type Communication

Cellular-based Machine-Type Communication (MTC) will become more and more important in the near future for the advantage of the long-distance wireless communication.However,a large number of MTC applications introduce heavy load to cellular network.MTC traffic scheduling schemes are proposed to avoid congestion in this paper.Our approaches are based on the delay-tolerance of MTC traffic.Some MTC traffic is postponed until the network load becomes light.Moreover,our scheme efficiently utilizes the bandwidth resources reserved for handover in traditional cellular network.Simulation results show that the utility usage of radio resources is improved and the congestion probability is reduced.

Innovation in Chinese Agribusinesses： Internal Resources and External Networks

The existing literature on innovation concentrates mostly on large industrial firms and high-technology industries, whereas, little attention has been given to agribusiness. Empirical evidence regarding the driving forces behind innovation in agribusinesses in developing countries, China in particular is scarce. This paper helps fill that void. It develops a framework in which innovation results from synergies between internal resources and external networks. This paper applies and tests the framework using 2003-2005 data from a panel survey of 32 leading agribusiness firms in Shandong Province, China. The empirical results indicate the importance of internal resources, external networks and the synergies between them. We find that R＆D expenditures and the number of technical employees are internal resources that are both important to product innovation. Surprisingly, management quality is negatively related to the possession of a unique technology and new products as a proportion of all products. It is possible that management quality is associated with more formalization and rigidity in decision-making, hindering creativity and lengthening the new product development cycle. In order to develop innovative products, our results suggest that investing in R＆D and hiring more technical staff may be more effective approaches than spending on managerial talent.

Resource Scheduling Algorithm and Ecnomic Model in ForCES Networks

Resource scheduling algorithm for ForCES(Forwarding and Control Element Separation) networks need to meet the flexibility,programmability and scalability of node resources.DBC(Deadline Budget Constrain) algorithm relies on users select cost or time priority,then scheduling to meet the requirements of users.However,this priority strategy of users is relatively simple,and cannot adapt to dynamic change of resources,it is inevitable to reduce the QoS.In order to improve QoS,we refer to the economic model and resource scheduling model of cloud computing,use SAL(Service Level Agreement) as pricing strategy,on the basis of DBC algorithm,propose an DABP(Deadline And Budget Priority based on DBC) algorithm for ForCES networks,DABP combines both budget and time priority to scheduling.In simulation and test,we compare the task finish time and cost of DABP algorithm with DP(Deadline Priority) algorithm and BP(Budget Priority) algorithm,the analysis results show that DABP algorithm make the task complete with less cost within deadline,benifical to load balancing of ForCES networks.

A trust domain-based multi-agent model for network resource selection

Because of the anonymity and openness of E-commerce, the on-line transaction and the selection of network resources meet new challenges. For this reason, a trust domain-based multi-agent model for network resource selection is presented. The model divides the network into numbers of trust domains and prevents the inconsistency of information maintained by different agents through the periodical communication among the agents. The model enables consumers to receive the response from the agents much quicker because the trust values of participators are evalUated and updated dynamically and timely after the completion of each transaction. In order to make users choose the best matching services and give users with trusted services, the model takes into account the similarity between services and the service providers＇ recognition to the services. Finally, the model illustrates the effectiveness and feasibility according to the experiment.

Library Network Virtual Community Model Building

This paper analyzed and expounded on library network virtual community construction, building library website virtual community function model, revealing resource advantage, service advantage, competition advantage, and cultural brand advantage around the platform of network virtual community.

Library Network Virtual Community Model Building

. This paper analyzed and expounded on library network virtual community construction, building library website virtual community function model, revealing resource advantage, service advantage, competition advantage, and cultural brand advantage around the platform of network virtual community.

INTERNET ENRICHMENT IN AN ORAL INTERPRETATION CLASS

Exploitation of Internet potentialities offers a number of advantages in preparing students as oral interpreters. This paper describes how an oral interpretation class makes use of the Internet, suggests a rationale for the various procedures used, and presents case studies which explore the benefits of Internet aided interpretation practice for both students and teachers in pre-class preparation, in-class activity, and follow-up reinforcement. A questionnaire-based survey among 265 English majors also indicates students' enthusiasm and validates the teachers' experiment.