当前高校校园网络环境的变化及其对策研究——以北京大学未名BBS和“人人网”为例

当前,基于Web2.0理念的网络新媒体形态,对包括BBS在内的媒体形态造成了极大的冲击,多年来形成的较为稳定的校园BBS网络文化也随之发生重大变化。曾经长期承担着发布信息、互动交流、反映现实等重要职能的北京大学未名BBS,也出现了用户的关注度和参与度下降、原有结构面临调整、讨论环境呈现浮躁态势等新问题。以"人人网"为代表的SNS网站对未名BBS造成了"浸入式影响"。面对这种形势,高校教育管理者必须进行深入思考,维护BBS的重要地位,发挥BBS的比较优势,开辟BBS新空间。

SNS背景下高校BBS战略转型与对策研究——以“西政人论坛”和“人人网”为例

SNS发展背景下,以"人人网"为代表的实名制社交网站对传统高校BBS的主流信息传播地位造成了巨大冲击。站在理论高度,对高校BBS的战略转型与对策研究进行深入剖析是促进其发展壮大的必要进路。本文引入比较研究法,在梳理总结"西政人论坛"现状和"人人网"优势的基础上,提出了包括明确主要功能、尊重网络话语权、整合现有资源、开拓新内容、加大建设投入与加强官方监管等在内的应对措施,以期引导校园网络文化健康有序发展。

以“人人网”为例看SNS社交网站的营销模式

互联网的快速发展给SNS社交网站提供了良好的发展环境,各种社交网站纷纷涌现,它将现实中的人际关系搬到网络上,使SNS社交网站成为人们自由交流、互相分享的绝佳场所,其中定位于高校学生的人人网发展格外活跃。本文以人人网为例来看SNS社交网站的盈利模式、营销策略、存在的问题和未来的发展策略。

以网络为契机，探讨吉林省大学生思想政治教育的新对策——以“人人网”为例

“人人网”对于吉林省大学生的思想政治教育来讲是一把双刃剑，它以其开放性、交互性、共享性、多样性的特点吸引着当代吉林省的大学生，但由于大学生的自我约束能力还比较弱，网络的虚拟性、隐蔽性助长了大学生的侥幸和放纵心理，使大学生不能完全正确的对待“人人网”。而且目前吉林省大学生的思想政治教育针对“人人网”的关注缺乏针对性和时效性，远远不能适应新形势的要求。因此，吉林省大学生思想政治教育必须规范学生使用“人人网”的情况，让“人人网”对吉林省大学生的思想政治教育发挥积极的正影响。

以“人人网”为例探讨社交网站的运营策略

在Web2.0时代,社交网站成为最重要的新媒体形式之一,促进了媒介运营模式的变革。本文介绍了社交网站的相关概念,并以"人人网"为例探讨其应用发展策略,建议在电子商务、新闻传播、大学教育、位置服务、企业招聘、政治活动等领域发挥更大的潜能,期望能对社交网站的理论研究与实践发展提供一定的参考价值。

Establishment of constitutive relationship model for 2519 aluminum alloy based on BP artificial neural network

An isothermal compressive experiment using Gleeble 1500 thermal simulator was studied to acquire flow stress at different deformation temperatures, strains and strain rates. The artificial neural networks with the error back propagation(BP) algorithm was used to establish constitutive model of 2519 aluminum alloy based on the experiment data. The model results show that the systematical error is small(δ=3.3%) when the value of objective function is 0.2, the number of nodes in the hidden layer is 5 and the learning rate is 0.1. Flow stresses of the material under various thermodynamic conditions are predicted by the neural network model, and the predicted results correspond with the experimental results. A knowledge-based constitutive relation model is developed.

Inflammatory bowel disease: An evaluation of health information on the internet

To evaluate the quality and accuracy of websites written to the public on inflammatory bowel disease (IBD) (Crohn’s disease and ulcerative colitis) and assess their readability level.METHODSGoogle™, Bing™, and Yahoo™ search engines were searched independently by three researchers in December 2014. Only English-language websites were selected on the basis of predetermined inclusion and exclusion criteria. Researchers independently evaluated the quality of each website by using the DISCERN and the HONcode instruments. The readability levels were calculated using two formulas; the Flesch-Kincaid Grade Level Index, and the Coleman-Liau Readability Index. The agreement between the evaluators was calculated using Cohen kappa coefficient.RESULTSEighty-four websites were finally identified. Scores varied from a minimum DISCERN score of 18 to a maximum of 68 [mean ± SD, 42.2 ± 10.7; median = 41.5, interquartile range, interquartile range (IQR) = 15.8] and a minimum score of HONcode of 0.14 and a maximum of 0.95 (mean ± SD, 0.16 ± 0.19; median = 0.45, IQR = 0.29). Most of these websites were reviewed in 2014 and 2015 (n = 51). The creators of these websites were: universities and research centers (n = 25, 30%), foundations and associations (n = 15, 18%), commercial and pharmaceutical companies (n = 25, 30%), charities and volunteer work (n = 9, 10%), and non-university educational bodies (n = 10, 12%). The Flesch-Kincaid Grade Level readability score (mean ± SD) was 11.9 ± 2.4 and the Coleman-Liau Readability Index score was 12.6 ± 1.5. Significant correlation was found between the two readability scores (R2 = 0.509, P = 0.001). The overall agreement between evaluators measured by Cohen kappa coefficient was in the range of 0.804-0.876; rated as 'Good'.CONCLUSIONThe DISCERN and the HONcode scores of websites varied and the readability levels of most websites were above the public readability level. The study highlights the areas that need further improvement and development in patient education online materials about IBD.

A Proposal of Adaptive PID Controller Based on Reinforcement Learning

Aimed at the lack of self-tuning PID parameters in conventional PID controllers, the structure and learning algorithm of an adaptive PID controller based on reinforcement learning were proposed. Actor-Critic learning was used to tune PID parameters in an adaptive way by taking advantage of the model-free and on-line learning properties of reinforcement learning effectively. In order to reduce the demand of storage space and to improve the learning efficiency, a single RBF neural network was used to approximate the policy function of Actor and the value function of Critic simultaneously. The inputs of RBF network are the system error, as well as the first and the second-order differences of error. The Actor can realize the mapping from the system state to PID parameters, while the Critic evaluates the outputs of the Actor and produces TD error. Based on TD error performance index and gradient descent method, the updating rules of RBF kernel function and network weights were given. Simulation results show that the proposed controller is efficient for complex nonlinear systems and it is perfectly adaptable and strongly robust, which is better than that of a conventional PID controller.

Simulating the Inverse Kinematic Model of a Robot through Artificial Neural Networks： Complementing the Teaching of Robotics

Teaching robotics necessarily involves the study of the kinematic models of robot manipulators. In turn, the kinematics of a robot manipulator can be described by its forward and reverse models. The inverse kinematic model, which provides the status of the joints according to the desired position for the tool of the robot, is typically taught and described in robotics classes through an algebraic way. However, the algebraic representation of this model is often difficult to obtain. Thus, although it is unquestionable the need for the accurate determination of the inverse kinematic model of a robot, the use of ANNs （artificial neural networks） in the design stage can be very attractive, because it allows us to predict the behavior of the robot before the formal development of its model. In this way, this paper presents a relatively quick way to simulate the inverse kinematic model of a robot, thereby allowing the student to have an overview of the model, coming to identify points that should be corrected, or that can be optimized in the structure of a robot.

Discrete-event modeling for internet multi-robotics

Internet multi-robotics is a typical discrete-event system. In order to describe joint activities between multiple operators and multiple robots, a 4-level discrete-event model is proposed in this paper based on the controlled condition/event Petri nets (CCEP). On the first or mission level, the task splitting of the system is defined; on the second or multi-operator level, a precedence graph is introduced for every operator to plan his or her robotic actions; on the third or coordination level, the above precedence graphs are translated and integrated into the corresponding CCEPs in terms of specific rules; and on the last or multi-robot level, operators can select their control range by setting the corresponding control marks of the obtained CCEPs. As a consequence, a clear mechanism of operator-robot collaboration is obtained to conduct the development of the system.

Current Status of Intelligent Space

Latest advances in network sensor technology and state of the art of mobile robotics and artificial intelligence research can be applied to develop autonomous and distributed monitoring systems. Intelligent Space （iSpace） is an environmental system, which is able to support human in informative and physical ways. iSpace observing the space with distributed sensors, extracts useful information from the obtained data and provides various services to users. This means that essential functions of iSpace are ＂observation＂, ＂recognition＂ and ＂actuation.＂ In this paper, we focus on the observation function of iSpace. And we describe observation systems to get information of both human and mobile agents in the space to show new results.

Applications of artificial intelligence technology to wastewater treatment fields in China

Current applications of artificial intelligence technology to wastewater treatment in China are summarized. Wastewater treatment plants use expert system mainly in the operation decision-making and fault diagnosis of system operation, use artificial neuron network for system modeling, water quality forecast and soft measure, and use fuzzy control technology for the intelligence control of wastewater treatment process. Finally, the main problems in applying artificial intelligence technology to wastewater treatment in China are analyzed.

A Novel Evolutionary Feedforward Neural Network with Artificial Immunology

A hybrid algorithm to design the multi layer feedforward neural network was proposed. Evolutionary programming is used to design the network that makes the training process tending to global optima. Artificial immunology combined with simulated annealing algorithm is used to specify the initial weight vectors, therefore improves the probabiligy of training algorithm to converge to global optima. The applications of the neural network in the modulation style recognition of analog modulated rader signals demonstrate the good performance of the network.

Artificial neural network modeling of water quality of the Yangtze River system:a case study in reaches crossing the city of Chongqing

An effective approach for describing complicated water quality processes is very important for river water quality management. We built two artificial neural network(ANN) models,a feed-forward back-propagation(BP) model and a radial basis function(RBF) model,to simulate the water quality of the Yangtze and Jialing Rivers in reaches crossing the city of Chongqing,P. R. China. Our models used the historical monitoring data of biological oxygen demand,dissolved oxygen,ammonia,oil and volatile phenolic compounds. Comparison with the one-dimensional traditional water quality model suggest that both BP and RBF models are superior; their higher accuracy and better goodness-of-fit indicate that the ANN calculation of water quality agrees better with measurement. It is demonstrated that ANN modeling can be a tool for estimating the water quality of the Yangtze River. Of the two ANN models,the RBF model calculates with a smaller mean error,but a larger root mean square error. More effort to identify out the causes of these differences would help optimize the structures of neural network water-quality models.

Ship spare parts demand forecast based on RBF neural network

Due to the fact that in ship maintena n ce process,the method of determining the number of spare parts is not scientific and the actual operation is complicated,this paper analyzes four major facto rs affecting the number of ship spare parts,including number of main planned op eration s,total times of disassembling in maintenance,accumulated working time and mea n t ime between failures.It also establishes a spare parts demand forecast model b ased on the affecting factors and radial-basis function(RBF) neural network.F inally,the paper provide s forecast examples and makes a comparison between the examples and back propaga tion(BP) neura l network forecast result.The comparison results s how that the forecast based on RBF neural network is simple and the forecast res ult fits the actual situa tion and fitting effect is better than that based on BP.

Acupuncture Treatment of Superficial Pain by Subcutaneous Needling

Subcutaneous needling is an old art of the 'twelve needling methods' in TCM for treating arthralgia due to cold or disorders in the superficial tissues. Some cases are effectively treated as introduced below.……

Community-based flood disaster management for older adults in southern of Thailand:A qualitative study

Objective:This study explored the approaches for community-based flood disaster management for older adults in Southern Thailand.It sought to understand community culture for supporting older adults and promoting community strength in case of flood disaster.Method:This was a qualitative content analysis study using data from observation,in-depth interviews,secondary data,and focus group discussion.One hundred and twenty-seven people in total were selected specifically for the study,including Local Administration Organization(LAO),community leaders,public sector officers,civil groups,and older adult groups and family caregivers.Results:The results of this study were two main themes,focusing on 1)approaches to community-based flood disaster management for older adults as follows:eight approaches in the phase of prevention and preparedness in flood disaster management for older adults,eight approaches in the phase of response in flood disaster management for older adults,and six approaches in the phase of recovery and rehabilitation in flood disaster management for older adults;and 2)factors contributing to success in flood disaster management for older adults has four factors,including the human factor,the work factor,the data factor,and the resource factor.Conclusion:The findings showed significant roles in improving the potential and strength in communitybased flood disaster management for older adults and providing suggestions for community nurses and health practice personnel involving in flood disaster management to mitigate the potential influence on older adults in the community.

AR Display Method of a Person＇s Identifier near the Head on a Camera Screen Based on the GPS Information and Face Detection Using Ad hoc and P2P Networking

The spread of social media has increased contacts of members of communities on the lntemet. Members of these communities often use account names instead of real names. When they meet in the real world, they will find it useful to have a tool that enables them to associate the faces in fiont of them with the account names they know. This paper proposes a method that enables a person to identify the account name of the person （＂target＂） in front of him/her using a smartphone. The attendees to a meeting exchange their identifiers （i.e., the account name） and GPS information using smartphones. When the user points his/her smartphone towards a target, the target＇s identifier is displayed near the target＇s head on the camera screen using AR （augmented reality）. The position where the identifier is displayed is calculated from the differences in longitude and latitude between the user and the target and the azimuth direction of the target from the user. The target is identified based on this information, the face detection coordinates, and the distance between the two. The proposed method has been implemented using Android terminals, and identification accuracy has been examined through experiments.

A Motherland That One Cannot Return to An Interpretation on Song of The Chu From a Perspective of Cultural Security

Song of The Chu, a novel written by LAN Zi-- a Chinese Australian writer, recounts the struggle in Australia over 20 years （1988-2008） of a group of Chinese young people. Cultural difference or even conflict is one of the inevitable issues in terms of migration. The Chinese （Han） culture which belongs to the continental civilization and the Australian （Western） culture which belongs to the maritime one are both mighty and cannot be conquered or assimilated by each other. This means that the Chinese immigrants to Australia, compared to the ones from a less mighty culture, are more sensitive and resistant to the impact of an alien culture, which leads to a conscious or unconscious sense of security of the mother culture. Cultural security, not unidirectional, also refers to the worry by the locals of the impact brought by the immigrants. The protagonist resorts to converting to Buddhism as a solution to the cultural schizophrenia

Research on Human Resource Management in the ＂Internet plus＂ Era

Today＇s society has entered the Intemet era, the Internet technology has brought great changes to all walks of life.With the development of＂Internet plus＂,traditional industry, service industry and business have to make the appropriate changes to meet the demand of the ＂Internet plus＂ era.Similarly,human resource management has to face new challenges in ＂Intemet plus＂ era.This paper expounds the characteristics of＂Internet plus＂ era and the changes brought to the human resource management,put forward the idea that human resources management should make changes to meet the demand of the ＂Internet plus＂ era from three aspects：big data,decentration and staff self management,establishing a new talent incentive mechanism.