用户运动信息反馈形式对体感操作用户体验的影响——一项基于Kinect的可用性研究

体感交互是新兴的人机交互方式;当前,相关的人因学研究相对缺乏。本研究采用典型任务结合主观评价法,首次探索了用户运动信息反馈形式对体感交互用户体验的影响。笔者从易学性、控制性、情感与心理负荷四个方面,比较了有、无人形反馈形式对游戏体感菜单操作可用性的影响。结果发现,二者在心理负荷上无差异,无人形反馈在易学性上优于有人形,但有人形反馈在控制感上优于无人形,且更受用户喜爱。基于该结果,笔者建议在体感操作界面上使用有人形反馈。

简析微信公众平台在赛事管理中的应用

1选题依据据2014年1月在中国互联网络中心(CNMC)发布的《第33次中国互联网络发展状况统计报告》显示,减少使用社交网站的网民中,32.6%的人转而使用微信;减少使用微博的人中,37.4%的转移到了微信。这足以证明,微信拥有强大的上升空间,值得体育赛事管理者在举办赛事时,建立官方微信公众平台。近年来,随着北京奥运会、广州亚运会、F1(一级方程式锦标赛)。

Ontology-based framework for personalized recommendation in digital libraries

To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query-based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. Both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. Through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. Furthermore, ontology-based conceptual vector of user preference can be applied in personalized recommendation feedback.

Qo E-based resource allocation protocols in cognitive OFDMA network with hybrid model

A resource allocation protocol is presented in an orthogonal frequency division multiple access （OFDMA） cognitive radio （CR） network with a hybrid model which combines overlay and underlay models. Without disrupting the primary user （PU） transmissions, the overlay model allows the secondary user （SU） to utilize opportunistically the idle sub-channels; the underlay model allows the SU to occupy the same sub-channels with PU. The proposed protocols are designed for maximizing the quality of experience （QoE） of CR users and switching dynamically between the overlay and underlay models. QoE is measured by the mean opinion score （MOS） rather than simply fulfilling the physical and medium access control （MAC） layer requirements. The simulations considering the file transfer and video stream services show that the proposed resource allocation strategy is spectrum efficient.

基于虹膜生物特征的WSNs访问认证方法研究

提出了一种基于虹膜生物特征的访问认证方法。该方法引入第三方服务器对用户身份进行认证,认证的过程除了对用户ID和消息时效性进行认证外,更重要的是根据用户的系列虹膜图像对其进行活体身份验证,在实现认证的同时也采用加密的方式保证了用户生物特征模板的隐私性;该方法也实现了用户和网关节点的双向认证,有效地保证了网络资源的安全性。理论分析结果表明:相对传统的访问认证方法,该方法所提出的方法具有更高的安全性能。

Resource Allocation and User Association for HTTP Adaptive Streaming in Heterogeneous Cellular Networks with Small Cells

Video streaming,especially hypertext transfer protocol based(HTTP) adaptive streaming(HAS) of video,has been expected to be a dominant application over mobile networks in the near future,which brings huge challenge for the mobile networks.Although some works have been done for video streaming delivery in heterogeneous cellular networks,most of them focus on the video streaming scheduling or the caching strategy design.The problem of joint user association and rate allocation to maximize the system utility while satisfying the requirement of the quality of experience of users is largely ignored.In this paper,the problem of joint user association and rate allocation for HTTP adaptive streaming in heterogeneous cellular networks is studied,we model the optimization problem as a mixed integer programming problem.And to reduce the computational complexity,an optimal rate allocation using the Lagrangian dual method under the assumption of knowing user association for BSs is first solved.Then we use the many-to-one matching model to analyze the user association problem,and the joint user association and rate allocation based on the distributed greedy matching algorithm is proposed.Finally,extensive simulation results are illustrated to demonstrate the performance of the proposed scheme.

SimWall:a practical user-friendly stereo tiled display wall system

SimWall is a user-friendly, stereo tiled display wall system composed of 18 commodity projectors operated by a Linux graphics cluster. Collaborating together, these projectors work as a single logical display capable of giving a high-resolution show, large-scale, and passive stereo scene. In order to avoid tedious system setup and maintenance, software-based automatic geometry and photometric calibration are used. The software calibration is integrated to the system seamlessly by an on-card transform method and is transparent to users. To end-users, SimWall works just as a common PC, but provides super computing, rendering and displaying ability. In addition, SimWall has stereoscopic function that gives users a semi-immersive experience in polarized passive way. This paper presents system architecture, implementation, and other technical issues such as hardware constraints, projectors alignment, geometry and photometric calibration, implementation of passive stereo, and development of overall soft- ware environment.

Social Media Is the New Punk User Experience, Social Music and DIY Culture

In the digital convergence culture （Jenkins, 2006） and in the network society （Castells, 1996）, the theories of personal branding, social identity, and the two-step flow of communication have become intertwined to create a model through which individuals and musicians share and embrace music. This paper examines the rise of social network for music involving both the practices of use and consumption and those of creation, sharing and distribution of innovative and independents musical reality. Social media have introduced radical changes in social and musical practices increasing the ability of creation from the bottom in contrast to mainstream. Moreover, thanks to performativity, collaboration and participation offering by Web 2.0, fit fully in culture ＂DIY 2.0＂ offering an interesting chance for the emerging underground music.

Techno-psychological Aspects of Social Media Behaviors

Social media has become an inevitable part of our lives in the age of network society. People establish multiple identities for themselves, with or without references to the real world, and behave according to those identities. Self-made components of virtual presence are not limited to identities only; many users also create hyper-personalities for themselves with the help of new technologies. Then, the fundamental question becomes： Why do people create self-made identities and hyper-personalities to portray or hide themselves in social media environments？ The answer to this question has certain connections and implications for behaviors of social media users. Therefore, researchers have investigated why some people find social media attractive and attend whenever possible, while others are afraid of social media and hesitate to attend. Positive and negative behaviors of social media users can be classified as braggadocian and preventative. Braggadocian behaviors are related to courageously taking advantage of social media, whereas preventative behaviors are concerned with avoidance of social media. The dominant behavioral pattern of a user depends on what one can achieve through attending or preventing social media. This paper first discusses basic elements of human behavior that drive social media such as altruism, hedonism, connectionism, homophily, multiple identities, memetics, narcissism, and tribalism. Then, it focuses on precautionary elements of human behavior such as avoidance, escape, blocking, fear, hiding, removal, and protectionism. Whether they are attentive or not, one thing is clear： People refrain or enrich their own lives in social media rather than being abused or watching others in industrial media.

A probe into social media users- Based on the ＂Actual Man＂ theory of Marxism

Social media users attracted the attention of scholars at home and abroad.This paper conducted a detailed literature review and prposed an analytical framework to define and conceptualize social media users on the ＂Actual Man＂ theory of Marxism.Furthermore, the paper generalizes three research levels, including the individual level,the gruop level and the materialism level.This study can improve understanding of the users＇ behavior in the social media virtue world as well as provide references for advanced researehe~

Prediction of Scour Depth around Offshore Pipelines in the South China Sea

Scour depth prediction of offshore pipelines is of great significance to the design and construction of the submarine pipeline projects. In this paper, based on the CFD software package FLUENT and User Defined Function （UDF）, an Eulerian two-phase model, which includes an Euler-Euler coupled model for water and sediment phases, and a turbulent model for the fluid phase, is adopted to predict the scour depth around pipelines. The model is verified by observation data obtained from laboratory experiments. On the basis of the simulations, the factors affecting the scour depth, including the effects of incipient velocity, pipe diameter and sediment particle size and so on, were investigated. Meanwhile, according to formulas of incipient velocity of various sediments, approximate calculation on theoretical scour depths is developed for pipelines of seven stations in the South China Sea, where engineering application information is available.

VSS BASED SESSION SETUP MECHANISM IN IMS

This paper proposes a novel session setup mechanism in IMS(IP Multimedia Subsystem) by introducing the functional entity termed VSS(Visitor Subscriber Server) which is used to provide registration and location management.The new mechanism aims at improving session setup procedure by a betterment of location management in IMS.Through the use of two-tier subscriber information database constituted by the HSS(Home Subscriber Server) and the VSS, the new mechanism seperates the registration procedure and location management from the S-CSCF(Serving-Call'Session Control Function), and makes them be handled by the VSS.At the same time, the new mechanism updates the signaling procedure of registration and session setup.With VSS based location management, the cost of registeration and session setup procedure as well as the delay of session setup procedure become lower.The cost and delay functions of the new session setup mechanism as well as the cost function of new registeration are deduced.Then, simulations and analysis verify that the performance of this new mechanism gets the benefit in cost and time.

Enterprise Content Management with Information Architecture： Guidelines to Structure the Information Assets

CM （contelat management） is a strategic discipline that should support the information assets of a company. Although there are some technological instruments structuring this work, the methods that have been used must have improvement to a better use. In this sense, IA （information architecture）, as a process that helps users to manage and find information, can collaborate with the organization of this assets allowing the best identification and categorization of information, as well as providing improvements in the website navigation in Intranets and Internet. This article introduces part of a research that deals with the use of IA for developing and structuring the project of Dataprev about the content management for Brazilian social security system.

A User Participation Behavior Prediction Model of Social Hotspots Based on Influence and Markov Random Field

Hotspot topic trends can be captured by analyzing user attributes and historical behavior in social network. In this paper, we propose a user participation behavior prediction model for social hotspots, based on user behavior and relationship data, to predict user participation behavior and topic development trends. Firstly, for the complex factors of user behavior, three dynamic influence factor functions are defined, including individual, peer and community influence. These functions take timeliness into account using a time discretization method. Secondly, to determine laws of individual behavior and group behavior within a social topic, a hotspot user participation behavior prediction model is proposed and associated with the basic concepts of randora field and Markov property in information diffusion. The experimental results show that the model can not only dynamically predict the individual behavior, but also grasp the development trends of topics.

A case study of customer satisfaction for information technology solutions

There are numerous information technology solutions including hardware and software. A company that provides the solution should have knowledge of the customer needs in the purpose of sailing strategy or upgrade policy. The needs are also directly connected to the user satisfaction. However, the users have respective points of view in the needs as well as they may not identify the requirements to improve the solution. SERVQUAL can be an appropriate method to define and measure the customer satisfaction for the information technology solutions. As a case study of the customer satisfaction, the modified SERVQUAL items and scoring method are applied to a cyber-infrastructure system named CyberL ab in Korea. The measurement results of user satisfaction for CyberL ab are provided to confirm that our proposed method performs as we intended. From the results, we can score the satisfaction level of users and identify their needs in the various aspects. The total user satisfaction level for CyberL ab is scored by 88.3.

Microblog User Recommendation Based on Particle Swarm Optimization

Considering that there exists a strong similarity between behaviors of users and intelligence of swarm of agents,in this paper we propose a novel user recommendation strategy based on particle swarm optimization(PSO)for Microblog network. Specifically,a PSO-based algorithm is developed to learn the user influence,where not only the number of followers is incorporated,but also the interactions among users(e.g.,forwarding and commenting on other users' tweets). Three social factors,the influence and the activity of the target user,together with the coherence between users,are fused to improve the performance of proposed recommendation strategy. Experimental results show that,compared to the well-known Page Rank-based algorithm,the proposed strategy performs much better in terms of precision and recall and it can effectively avoid a biased result caused by celebrity effect and zombie fans effect.

Impact Analysis of EV Charging with Mixed Control Strategy

EVs （electric vehicles） have been widely accepted as a promising solution for reducing oil consumption, air pollution and greenhouse gas emission. The number of EVs is growing very fast over the years. However, the high adoption of EVs will impose a burden on the power system, especially for neighborhood level network. In this paper, we propose a mixed control framework for EV charging scheduling to mitigate its impact on the power network. A metric for modeling customer＇s satisfaction is also proposed to compare the user satisfaction for different algorithms. The impacts of the proposed algorithms on EV charging cost, EV penetration and peak power reduction are evaluated with real data for a neighborhood level network. The simulation results demonstrate the effectiveness of the proposed algorithms.

Improving Low Bitrate Video Coding via Computation Incorporating A Priori Information

The growing number of mobile users, as well as the diversification in types of services have resulted in increasing demands for wireless network bandwidth in recent years. Although evolving transmission techniques are able to enlarge the network capacity to some degree, they still cannot satisfy the requirements of mobile users. Meanwhile, following Moore's Law, the data processing capabilities of mobile user terminals are continuously improving. In this paper, we explore possible methods of trading strong computational power at wireless terminals for transmission efficiency of communications. Taking the specific scenario of wireless video conversation, we propose a model-based video coding scheme by learning the structures in multimedia contents. Benefiting from both strong computing capability and pre-learned model priors, only low-dimensional parameters need to be transmitted; and the intact multimedia contents can also be reconstructed at the receivers in real-time. Experiment results indicate that, compared to conventional video codecs, the proposed scheme significantly reduces the data rate with the aid of computational capability at wireless terminals.

审美交互——整体论视角下的交互设计思想

面对信息科技日常生活化所带来的问题和挑战,审美交互设计的理论与方法对于信息社会日常经验的重构具有重要意义。本文揭示了审美交互的实用主义美学思想基础,梳理并总结了审美交互的设计方法和策略,并指出这一设计思考以其整体论设计态度区别于以往的分析性视角,审美交互通过审美工具性试图将交互系统和生活环境融为一个整体,恢复用户日常体验的连续统一性。

Numerical Simulation of the Water Entry of a Structure in Free Fall Motion

To solve the problems concerning water entry of a structure, the RANS equations and volume of fluid （VOF） method are used. Combining the user-defined function （UDF） procedure with dynamic grids, the water impact on a structure in free fall is simulated, and the velocity, displacement and the pressure distribution on the structure are investigated. The results of the numerical simulation were compared with the experimental data, and solidly consistent results have been achieved, which validates the numerical model. Therefore, this method can be used to study the water impact problems of a structure.