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1.
Few literature studies have investigated the relationships between different uses and gratifications (U&Gs) of mobile instant messaging (MIM) apps, continuation, and purchase intentions. To address this gap, the researchers aimed to examine the influence of the content, social, process, and technology U&Gs of MIM on continuation intentions toward MIMs, and purchase intentions toward virtual goods available on MIMs. A comprehensive research model was developed based on the U&G theory, which was tested using cross-sectional data from 309 Japanese MIM users. The study considered six different U&Gs of MIM as independent variables and purchase intentions towards stickers and continuation intentions towards MIM as dependent variables. The study results suggest that exposure U&G has a significant positive association with MIM sticker purchase intentions. The entertainment and affection U&G are positively associated with continuation intentions towards MIM use. The study contributes to the literature by investigating U&Gs that motivate MIM users to have both positive purchase intentions toward virtual goods, such as stickers, and continuation intentions toward MIMs. The study has significant theoretical and practical implications for both researchers and practitioners who are interested in virtual goods, the virtual economy, MIM apps, social media, new media, and the service economy.  相似文献   
2.
针对传统的抽油机远程控制系统存在的弊端,提出了新型的控制层结构,设计了三层架构的远程控制系统;设计即时通信系统应用于远程控制系统中,详细地分析其服务器、电脑客户端和移动客户端的构架,实现管理层和控制层之间的信息交互;设计了基于WiFi的网络通信模块与上位机进行通信,介绍远程控制终端的核心控制模块,实现对电机的控制。经过测试,系统具有即时性、高可靠性以及快速性,确保对抽油机的有效控制,具有一定的工业价值和推广价值。  相似文献   
3.
M2M通信(Machine to Machine Communication)目前已在物联网范畴内获得巨大的应用,基于灵活易用和良好的移动性,M2M主要采用无线系统架构来实现,例如ZigBee、WiFi和蜂窝网络等.本文采用ZigBee技术,在Android平台采用Java语言设计实现了一种新的M2M应用:近距离即时通讯,该应用可在车联网或其它小区域内数据共享等低速率传输领域获得较好的推广.  相似文献   
4.
消息推送系统在实现企业办公自动化方面有着重要的作用,通信协议和系统架构的设计是企业消息推送系统性能优化的关键因素.传统的标准化协议方案在移动互联网领域的应用存在着实现复杂和流量消耗大等缺点.针对这一问题,结合企业消息推送系统的特点,采用物联网领域的轻量级协议MQTT来设计企业消息推送系统的通信协议,通过设计MQTT话题区分社交通知、即时消息和状态呈现等功能,在满足了应用需求的同时保证了协议的简单易实现和流量消耗小等适用于移动互联网的优势.另一方面,在传统的对称和非对称设计的服务器架构之上,提出了信息上非对称和功能上对称的系统架构,为企业消息推送系统的构建提供了一个详细的解决方案.该方案在满足系统设计需求的同时提高了系统的可扩展性.  相似文献   
5.
The experience of the Mississippi State University (MSU) Libraries illustrates the challenges presented by moving from consortial to local chat, as well as an evaluation of the advantages of chat reference in an academic setting. Countering the consortial, instant-messaging model prevalent in virtual reference today, the MSU Libraries have found chat offers advantages in an academic community. Moving to a local setting, it was possible for the MSU Libraries to maintain quality control over chat transactions while building relationships with faculty and students across campus.  相似文献   
6.
介绍了一种基于Ajax和FMS的视频直播学习系统。该系统采用B/S结构,应用支持异步请求的Ajax技术提供即时通信,利用基于RTMP协议的FMS提供流媒体服务。由于客户端只需要一个支持Flash的网页浏览器,并且具有占用带宽少、响应及时、视频质量高和容易部署等特点,该系统在远程教育等领域具有较大的应用前景。  相似文献   
7.
基于P2P的即时通信系统的设计   总被引:1,自引:0,他引:1  
为了有效解决传统即时通信系统的安全问题,减轻集中式服务器的负担,采用基于P2P的底层网络机制来实现即时通信系统。与其他方法相比,其节约了成本,增强了系统的可扩展性和健壮性。从最终的测试结果来看,基本上实现了该系统的预期开发目标,完成了基本的P2P的底层实现机制和即时通信系统的基本功能。  相似文献   
8.
While instant messaging (IM) has been very popular among teenagers and college students for social and recreation communication, its use in corporate settings has been limited. We examined the factors that influence the intention to use and actual use of IM. A research model was developed based on diffusion of innovation and Socio-psychological theories. The model examined the influence of seven variables in three belief structures (the attitudinal, normative, and control). The model was empirically validated using a field survey of 349 respondents. The results indicated that five of the seven variables explained about 41% of the variance in the intention to use IM. The five significant variables were: utilitarian beliefs, hedonic beliefs, subjective norms, critical mass, and ease of use. Affiliation motivation was not significant and social belief had a negative impact on intention. As expected, intention to use had a significant influence on actual usage.  相似文献   
9.
计算机集群以其较高的性价比、很好的可扩展性被广泛应用于各种计算密集的任务中。在面向话题的文本检索研究中,由于所需处理的文本量巨大,使用IMB公司的BladeCenter JS21计算机集群,采用SPMD(Single ProgramMultiple Data)并行算法模式实现了数据的并行处理。本文主要介绍有关混合编程语言程序设计、编程技巧以及调试等方面的经验。  相似文献   
10.
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audience. Companies systematically dispatch the offers under consideration to a limited sample of potential buyers, rank them with respect to their performance and, based on this ranking, decide which offers to send to the wider population. Though this pre-testing process is simple and widely used, recently the industry has been under increased pressure to further optimize learning, in particular when facing severe time and learning space constraints. The main contribution of the present work is to demonstrate that direct marketing firms can exploit the information on visual content to optimize the learning phase. This paper proposes a two-phase learning strategy based on a cascade of regression methods that takes advantage of the visual and text features to improve and accelerate the learning process. Experiments in the domain of a commercial Multimedia Messaging Service (MMS) show the effectiveness of the proposed methods and a significant improvement over traditional learning techniques. The proposed approach can be used in any multimedia direct marketing domain in which offers comprise both a visual and text component.
Giuseppe TribulatoEmail:

Sebastiano Battiato   was born in Catania, Italy, in 1972. He received the degree in Computer Science (summa cum laude) in 1995 and his Ph.D in Computer Science and Applied Mathematics in 1999. From 1999 to 2003 he has lead the “Imaging” team c/o STMicroelectronics in Catania. Since 2004 he works as a Researcher at Department of Mathematics and Computer Science of the University of Catania. His research interests include image enhancement and processing, image coding and camera imaging technology. He published more than 90 papers in international journals, conference proceedings and book chapters. He is co-inventor of about 15 international patents. He is reviewer for several international journals and he has been regularly a member of numerous international conference committees. He has participated in many international and national research projects. He is an Associate Editor of the SPIE Journal of Electronic Imaging (Specialty: digital photography and image compression). He is director of ICVSS (International Computer Vision Summer School). He is a Senior Member of the IEEE. Giovanni Maria Farinella   is currently contract researcher at Dipartimento di Matematica e Informatica, University of Catania, Italy (IPLAB research group). He is also associate member of the Computer Vision and Robotics Research Group at University of Cambridge since 2006. His research interests lie in the fields of computer vision, pattern recognition and machine learning. In 2004 he received his degree in Computer Science (egregia cum laude) from University of Catania. He was awarded a Ph.D. (Computer Vision) from the University of Catania in 2008. He has co-authored several papers in international journals and conferences proceedings. He also serves as reviewer numerous international journals and conferences. He is currently the co-director of the International Summer School on Computer Vision (ICVSS). Giovanni Giuffrida   is an assistant professor at University of Catania, Italy. He received a degree in Computer Science from the University of Pisa, Italy in 1988 (summa cum laude), a Master of Science in Computer Science from the University of Houston, Texas, in 1992, and a Ph.D. in Computer Science, from the University of California in Los Angeles (UCLA) in 2001. He has an extensive experience in both the industrial and academic world. He served as CTO and CEO in the industry and served as consultant for various organizations. His research interest is on optimizing content delivery on new media such as Internet, mobile phones, and digital tv. He published several papers on data mining and its applications. He is a member of ACM and IEEE. Catarina Sismeiro   is a senior lecturer at Imperial College Business School, Imperial College London. She received her Ph.D. in Marketing from the University of California, Los Angeles, and her Licenciatura in Management from the University of Porto, Portugal. Before joining Imperial College Catarina had been and assistant professor at Marshall School of Business, University of Southern California. Her primary research interests include studying pharmaceutical markets, modeling consumer behavior in interactive environments, and modeling spatial dependencies. Other areas of interest are decision theory, econometric methods, and the use of image and text features to predict the effectiveness of marketing communications tools. Catarina’s work has appeared in innumerous marketing and management science conferences. Her research has also been published in the Journal of Marketing Research, Management Science, Marketing Letters, Journal of Interactive Marketing, and International Journal of Research in Marketing. She received the 2003 Paul Green Award and was the finalist of the 2007 and 2008 O’Dell Awards. Catarina was also a 2007 Marketing Science Institute Young Scholar, and she received the D. Antonia Adelaide Ferreira award and the ADMES/MARKTEST award for scientific excellence. Catarina is currently on the editorial boards of the Marketing Science journal and the International Journal of Research in Marketing. Giuseppe Tribulato   was born in Messina, Italy, in 1979. He received the degree in Computer Science (summa cum laude) in 2004 and his Ph.D in Computer Science in 2008. From 2005 he has lead the research team at Neodata Group. His research interests include data mining techniques, recommendation systems and customer targeting.   相似文献   
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