CHARACTERIZATION OF METAL MATRIX COMPOSITE PROPERTIES BY ADDING BRONZE AND FLY ASH FOR HEAT EXCHANGER APPLICATIONS

The present research work is on bronze alloy metal matrix composite reinforced with fly ash particulate in weight percentage of 3%, 6% and 9%. The specimens can be produced by Liquid metallurgy technique (Stir casting method) will be used to produce metal matrix composites using Aluminum Copper alloys as matrix material. The produced composites will be characterized with respect to mechanical properties and wear properties. Results obtained from the above investigation, it can be seen that the rate of wear is decreased with increasing bronzeand will be helpful for the end of users in the foundry of automobile and aerospace industries

Methods and algorithms for service selection and recommendation (preference and aggregation based)

In order for service users to get the best service that meets their requirements, they prefer to personalize their non-functional attributes, such as reliability and price. However, the personalization makes it challenging because service providers have to deal with conflicting non-functional attributes when selecting services for users. In addition, users may sometimes want to explicitly specify their trade-offs among non-functional attributes to make their preferences known to service providers. Typically, users\u27 service search requests with conflicting non-functional attributes may result in a ranked list of services that partially meet their needs. When this happens, it is natural for users to submit other similar requests, with varying preferences on non-functional attributes, in an attempt to find services that fully meet their needs. This situation produces a challenge for the users to choose an optimal service based on their preferences, from the multiple ranked lists that partially satisfy their request. Existing memory-based collaborative filtering (CF) service recommendation methods that employ this recommendation technique usually depend on non-functional attribute values obtained at service invocation to compute the similarity between users or items, and also to predict missing non-functional attributes. However, this approach is not sufficient because the non-functional attribute values of invoked services may not necessarily satisfy their personalized preferences. The main contributions of this work are threefold. First, a novel service selection method, which is based on fuzzy logic, that considers users\u27 personalized preferences and their trade-offs on non-functional attributes during service selection is presented. Second, a method that aggregates multiple ranked lists of services into a single aggregated ranked list, where top ranked services are selected for the user is also presented. Two algorithms were proposed: 1) Rank Aggregation for Complete Lists (RACoL), that aggregates complete ranked lists and 2) Rank Aggregation for Incomplete Lists (RAIL) to aggregate incomplete ranked lists. Finally, a CF-based service recommendation method that considers users\u27 personalized preference on non-functional attributes if proposed. Examples using real-world services are presented to evaluate the proposed methods and experiments are carried out to validate their performance --Abstract, page iii

Dynamics of online chat

Millions of people use online synchronous chat networks on a daily basis for work, play and education. Despite their widespread use, little is known about their user dynamics. For example, one does not know how many users are typically co-present and actively engaged in public interaction in the individual chat rooms of any of the numerous public Internet Relay Chat (IRC) networks found on the Internet; or what are the factors that constrain the boundaries of user activity inside those chat rooms. Failure to collect and present such data means there is a lack of a good understanding of the range of user interaction dynamics that large-scale chat technologies support. This dissertation addresses this gap in the research literature through a year-long field study of the user-dynamics of Austnet, a medium-sized IRC network (103 million messages sent to 7,180 publicly active chat-channels by 489,562 unique nicknames over a one-year period). Key results include: 1) the first rich quantitative description of a medium-sized chat network; 2) empirical evidence for user information-processing constraints to patterns of chat-channel engagement (maximum 40 posters and 600 public messages per chat-channel per 20-minute interval); 3) a short-term channel engagement model which highlights the extent to which immediate channel activity can be reliably predicted, and identifies the best predictor variables; 4) a model for the identification of factors that can be used to distinguish highly predictable channels from unpredictable channels; and 5) the first empirical study of how the Critical Mass theory can help in predicting the channels\u27 long-term chances of survival by looking at their initial starting conditions. Collectively, the results highlight how the knowledge of chat network dynamics can be used in making accurate predictions about the chat-channels\u27 levels of short-term activity, and long-term survivability. This is important because it can lead to improved designs of future synchronous chat technologies. Such designs would benefit both the users of the systems, by providing them real-time recommendations about where to find successful group discourse, and the managers of the systems, by providing them vital information about the health of their communities

CLOUD COMPUTING SECURITY THROUGH SYMMETRIC CIPHER MODEL

ABSTRACT Cloud computing can be defined as an application and services which runs on distributed network using virtualized and it is accessed through interne

From.wav to.txt: why we still need transcripts in the digital age

Oral historians have debated whether and how to transcribe their interviews since the 1960s. New digital tools for indexing audio and video files appear to provide a powerful and exciting alternative to transcription. Despite such challenges, however, transcription continues to serve impor tant purposes of long-term preservation, analysis and dissemination. After surveying the transcription controversy over the past half-century, I outline five arguments in favour of transcription. I argue that archiving transcripts is a political act that places our oral histories on equal footing with government generated documents in state-run archives.https://www.jstor.org/stable/2638254

Serial Mediation On Technology Readiness And Trust As Moderator On Students’ Continuance Intention To Use Computer-Based Test System

Universities are investing heavily in different educational technologies to catch up with recent advancement. Such investment will only be successful when the students can make good use of it. Nigerian Universities are making an effort towards deploying the computer-based test (CBT) system component of e-learning technologies to complement the conventional paper-based assessment. However, the long-term success of the system solely depends on the students’ continuance intention to use the system. Previous research mostly focuses on the preadoption factors without looking at the post-adoption variables. There is an evident lack of or absence of studies integrating technology readiness index (TRI) 2.0 and expectation confirmation model (ECM) variables in the same framework. The current study aimed at filling this research gap through careful integration of these two models, together with some selected variables to examine the factors determining the students’ continuance intention to use CBT system in Nigerian Universities

An analysis of different data base structures and management systems on Clickstream data collected for advocacy based marketing strategies experiments for Intel and GM

Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.Includes bibliographical references (leaves 82-83).Marketing on the Internet is the next big field in marketing research. Clickstream data is a great contribution to analyze the effects of advocacy based marketing strategies. Handling Clickstream data becomes a big issue. This paper will look at the problems caused by Clickstream data from a database perspective and consider several theories to alleviate the difficulties. Applications of modern database optimization techniques will be discussed and this paper will detail the implementation of these techniques for the Intel and GM project.by Yufei Wang.M.Eng.and S.B