http://WWW.FINALYEARPROJECTS.NET
http://WWW.FINALYEARPROJECTS.NET

Checking delivery availability...

background-sm
Search
3

Updates found with 'influence'

Page  1 1

Updates found with 'influence'

JAVA/DOT NET PROJECTS ABSTRACT 2016-2107 TRUST AGENT-BASED BEHAVIOR INDUCTION IN SOCIAL NETWORKS ABSTRACT: The essence of social networks is that they can influence people's public opinions and group behaviors form quickly. Negative group behavior influences societal stability significantly, but existing behavior-induction approaches are too simple and inefficient. To automatically and efficiently induct behavior in social networks, this article introduces trust agents and designs their features according to group behavior features. In addition, a dynamics control mechanism can be generated to coordinate participant behaviors in social networks to avoid a specific restricted negative group behavior. This article investigates the importance of the endogenous selection of partners for trust and cooperation in market exchange situations, where there is information asymmetry between investors and trustees. We created an experimental-data driven agent-based model where the endogenous link between interaction outcome and social structure formation was examined starting from heterogeneous agent behaviour. By testing various social structure configurations, we showed that dynamic networks lead to more cooperation when agents can create more links and reduce exploitation opportunities by free riders. Furthermore, we found that the endogenous network formation was more important for cooperation than the type of network. Our results cast serious doubt about the static view of network structures on cooperation and can provide new insights into market efficiency.EXISTING SYSTEMS Online behavioral analysis and modeling has aroused considerable interest from closely related research fields such as data mining, machine learning, and information retrieval. This special issue provides a forum for researchers in behavior analysis to review pressing needs, discuss challenging research issues, and showcase state-of-the-art research and development in modern Web platforms. Research on network group behavior tendency generally can be divided into two areas: negative tendencies and hot-issue tendencies. For a negative tendency in group behavior, Yiting Zhang explained why violent behavior exists on the Internet and proposed countermeasure research to avoid it.PROPOSED SYSTEMS In Proposed systems by focusing on short texts published on social networks, one group of researchers proposed a biterm topic model that learns behavior topics by directly modeling the generation of word co-occurrence patterns (that is, biterms) in the corpus. The core problem of behavior induction in this article is as follows: with some restricted behaviors predetermined, how to induct participants in social networks to avoid these behaviors? There are all kinds of interaction relations between participants in social networks, but the most important one is trust. Abstractly, trust is the measure taken by one party about the willingness and ability of another party to act in the interest of the former party in a certain situation. However, there’s still no research on trust related to behavior induction in social networks—in particular, how to design features that make trust agents trusted by participants, maximize the effect of participant behaviors, and enhance the effectiveness of behavior induction.System Configuration:H/W System Configuration: Processor - Pentium –IIISpeed - 1.1 GhzRAM - 256 MB(min)Hard Disk - 20 GBFloppy Drive - 1.44 MBKey Board - Standard Windows KeyboardMouse - Two or Three Button MouseMonitor - SVGA S/W System Configuration: Operating System :Windows95/98/2000/XP  Application Server : Tomcat5.0/6.X  Front End : HTML, Java, Jsp Scripts : JavaScript. Server side Script : Java Server Pages. Database : Mysql Database Connectivity : JDBC.CONCLUSION: Now that we’ve proposed and experimentally validated our trust agent-based social behavior induction approach. In future work we’ll introduce Latent Dirichlet Allocation to abstract the behavior features of users in social networks, such as Twitter. We can construct links in behavior feature-driven social networks using the Pearson similarity of users’ behavior features.The explicit formulation of trust, reputation, and related quantities suggests a straightforward implementation of the model in a multi-agent environment.
Send Enquiry
Read More
NS2 PROJECTS ABSTRACT 2016-2017 REVIEW OF ACTIVE AND REACTIVE POWER SHARING STRATEGIES IN HIERARCHICAL CONTROLLED MICROGRIDS ABSTRACT Micro grids consist of multiple parallel-connected distributed generation (DG) units with coordinated control strategies, which are able to operate in both grid-connected and islanded mode. Micro grids are attracting more and more attention since they can alleviate the stress of main transmission systems, reduce feeder losses, and improve system power quality. When the islanded micro grids are concerned, it is important to maintain system stability and achieve load power sharing among the multiple parallel-connected DG units. However, the poor active and reactive power sharing problems due to the influence of impedance mismatch of the DG feeders and the different ratings of the DG units are inevitable when the conventional droop control scheme is adopted. Therefore, the adaptive/improved droop control, network-based control methods and cost-based droop schemes are compared and summarized in this paper for active power sharing. Moreover, nonlinear and unbalanced loads could further affect the reactive power sharing when regulating the active power, and it is difficult to share the reactive power accurately only by using the enhanced virtual impedance method. Therefore, the hierarchical control strategies are utilized as supplements of the conventional droop controls and virtual impedance methods. The improved hierarchical control approaches such as the algorithms based on graph theory, multi-agent system, the gain scheduling method and predictive control have been proposed to achieve proper reactive power sharing for islanded micro grids and eliminate the effect of the communication delays on hierarchical control. Finally, the future research trends on islanded microgrids are also discussed in this paper
Send Enquiry
Read More
IEEE 2016 DOT NET PROJECTS ABSTRACTMEASURING THE INFLUENCE OF PERCEIVED CYBERCRIME RISK ON ONLINE SERVICE AVOIDANCE ABSTRACT: Cybercrime is a pervasive threat for today’s Internet-dependent society. While the real extent and economic impact is hard to quantify, scientists and officials agree that cybercrime is a huge and still growing problem. A substantial fraction of cybercrime’s overall costs to society can be traced to indirect opportunity costs, resulting from unused online services. This paper presents a parsimonious model that builds on technology acceptance research and insights from criminology to identify factors that reduce Internet users’ intention to use online services. We hypothesize that avoidance of online banking, online shopping and online social networking is increased by cybercrime victimization and media reports. The effects are mediated by the perceived risk of cybercrime and moderated by the user’s confidence online. We test our hypotheses using a structural equation modeling analysis of a representative pan-European sample. Our empirical results confirm the negative impact of perceived risk of cybercrime on the use of all three online service categories and support the role of cybercrime experience as an antecedent of perceived risk of cybercrime. We further show that more confident Internet users perceive less cybercriminal risk and are more likely to use online banking and online shopping, which highlights the importance of consumer education.
Send Enquiry
Read More
Page 1 1