Tag Archives: Touhid Bhuiyan

A Survey on the Relationship between Trust and Interest Similarity in Online Social Networks

Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology, Australia
follow site Abstract—A remarkable growth in quantity and popularity of online social networks has been observed in recent years. There is a good number of online social networks exists which have over 100 million registered users. Many of these popular social networks offer automated recommendations to their users. This automated recommendations are normally generated using collaborative filtering systems based on the past ratings or opinions of the similar users. Alternatively, trust among the users in the network also can be used to find the neighbors while making recommendations. To obtain the optimum result, there must be a positive correlation exists between trust and interest similarity. Though the positive relations between trust and interest similarity are assumed and adopted by many researchers; no survey work on real life people’s opinion to support this hypothesis is found. In this paper, we have reviewed the state-of-the-art research work on trust in online social networks and have presented the result of the survey on the relationship between trust and interest similarity. Our result supports the assumed hypothesis of positive relationship between the trust and interest similarity of the users.
Index Terms—trust, interest, opinion, recommender system, similarity, survey.
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Trust and Reputation Management in Web-based Social Network

go site Author
Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology, Australia
Audun Jøsang
University of Oslo, Norway
Yue Xu
Faculty
Science and Technology
Queensland University of Technology, Australia

Trust and Reputation Management
in Web-based Social Network
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Impact of Knowledge Sharing in Supply Chain Networks

Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology, Australia

viagra take offs Abstract – This work examines the importance of inter-organizational supply chain relationship from a network perspective. We have tried to find the answer of the following questions; how does knowledge sharing effect network value in an inter-organizational business network? What is the influence of knowledge sharing in creating new knowledge? This paper makes a significant and substantial contribution to knowledge generation on a number of fronts. Firstly, the study develops a substantive theory to understand the overall network level value creation in an inter-organizational business network. In recent years, a core theme within the value delivery attracts attention is supply or value chain management. In this work we have examined; which actors in the chain create value and which delivery process provides the best value for which customers? Secondly, the study contributes the better understanding of the influence of tacit knowledge sharing or experience sharing to create the network value. The role of the interaction has also explored regarding the new knowledge creation. Thirdly, the importance of “time” is considered in a different dimension for interaction process. As such, the study’s contribution consists of developing a rigorous framework to unpack the new theory of network level value creation, adding a new layer to the analysis through the role of knowledge sharing among the network member organizations, providing greater understanding about the knowledge sharing, new network knowledge creation and the overall network value for the whole business network.

Keywords: Knowledge sharing, Network, Value, Supply chain, Interaction.

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Derivation of Design Rainfall Temporal Patterns in Australia’s Gold Coast Region

Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology (AUSTRALIA)
Ataur Rahman
2School of Engineering
University of Western Sydney, Australia
Scott Abbey
Sinclair Knight Merz, Australia

kamagra central review Abstract – Design of water infrastructures requires estimation of design flow which is the runoff that an infrastructure can handle safely. For estimation of this design flow, rainfall-runoff modelling is widely adopted. Temporal pattern (the distribution of rainfall depths over sub-storm durations) is considered to be one of the most critical input variables in the rainfall-runoff modelling. Design temporal pattern can affect the design runoff hydrograph significantly. The currently recommended design rainfall temporal patterns in Australia were derived in 1987 using the data before 1986. Due to climate change, it is expected that the design rainfall characteristics have been changed, thus making the application of currently recommended design rainfall temporal patterns in Australia questionable. This paper examines data from 22 pluviograph stations in the Gold Coast region to assess the time-trend of temporal patterns in this region. This considers design rainfall temporal patterns from 10 minutes to 120 hours storm durations. It has been found that there are significant changes in temporal patterns in recent years which may have notable implication in the design of water infrastructures in the study region. The results indicate that the design rainfall temporal patterns in Australia needs up-gradation to reflect the effects of current climate change to make the water infrastructures safer.

Keywords: Design Rainfall, Design Flood, Temporal Patterns, Rainfall Runoff Modelling.

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Analysing Trust Transitivity and The Effects of Unknown Dependence

follow Author
Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology, Australia
Audun Jøsang
Faculty
Science and Technology
Queensland University of Technology, Australia
go Abstract:
Trust can be used to improve online automated recommendation within a given domain. Trust transitivity is used to make it successful. But trust transitivity has different interpretations. Trust and trust transitivity; both are the human mental phenomenon and for this reason, there is no such thing as objective transitivity. Trust transitivity and trust fusion both are important elements in computational trust. This paper analyses the parameter dependence problem in trust transitivity and proposes some definitions considering the effects of base rate. In addition, it also proposes belief functions based on subjective logic to analyse trust transitivity of three specified cases with sensitive and insensitive based rate. Then it presents a quantitative analysis of the effects of unknown dependence problem in an interconnected network environment; such Internet.
Keywords: Trust management, Transitivity, Subjective logic, Base rate, Dependence.
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A Review of Trust in Online Social Networks to Explore New Research Agenda

Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology, Australia
Yue Xu
Faculty
Science and Technology
Queensland University of Technology, Australia
Audun Jøsang
Faculty
Science and Technology
Queensland University of Technology, Australia
source site Abstract – Trust has become important topic of research in many fields including sociology, psychology, philosophy, economics, business, law and of course in IT. In recent years, there is a dramatic growth in number and popularity of online social networks. There are many networks available with more than 100 million registered users such as Facebook, MySpace, QZone, Windows Live Spaces etc. People may connect,discover and share by using these  online social networks. The exponential growth of online communities in the area of social networks attracts the attention of the researchers about the importance of managing trust in online environment. The major challenge of the current online user is to identify the trustworthiness of the agents they are communicating. Trust can be calculated between two unknown agents who are not directly connected in a trust network rather connected somehow through the network. In this paper, we have reviewed the state-of-the-art research work on trust in online social network and discussed about the relevant research agenda.
Keywords: Online Social Networks, Trust, Reputation, Opinion, Recommender Systems.
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A Model of a Feed Forward Multi Layered Neural Network to Recognize Hand Written Bengali Digits

Author
Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology, Australia

Abstract:

This work deals with the recognition of handwritten Bengali digits using feed forward multi layered neural network approach. It proposes an overall guideline of how to construct and train a neural network in order to give it the recognition capability. The paper presents findings of different experiments undertaken and concludes on the quality of recognition. The key aspect of this research is the solution network that successfully recognized handwritten digits with as high accuracy as 96% on casually written digits and 100% accuracy on carefully written digits. It also features two very simple, yet interesting and efficient network structures that were used. The advantage of these features is the small size, which takes smaller storage space and helps to train faster. Another major achievement is the implementation of a new activation function which theoretically reaches ‘zero error’ at some stage of the training. A sophisticated conversion and compression algorithm for digitizing the handwritten images has also been developed and described in the paper. Keywords: Handwritten, Digits, Training, Multi Layered, Neural Network.

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The Potential Relationship between Trust and Interest Similarity

Author
Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology, Australia
Yue Xu
Science and Technology
Queensland University of Technology, Australia
Audun Jøsang
Faculty
Science and Technology
Queensland University of Technology, Australia
go Abstract – Many online communities including the popular social networks offer automated recommendations to their users. This automated recommendations are normally generated using collaborative filtering systems based on the past ratings or opinions of the similar users. Alternatively, trust among the users in the network also can be used to find the neighbors while making recommendations. To obtain the optimum result, there must be a positive correlation exits between trust and interest similarity. In this paper we have presented the result of the survey on the relationship between trust and interest similarity. Our result supports the assumed hypothesis of positive relationship between the trust and interest similarity of the users.
Keywords: Trust, Interest, Similarity, Recommender System, Opinion, Social Networks.
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EXPLORING THE CHALLENGES OF E-LEARNING ADOPTION IN DEVELOPING COUNTRIES

Author
Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology, Australia
Abstract:
The Internet is a technological development that has the potential to change not only the way society retains and access knowledge; but also transform and restructure traditional models of higher education, particularly the delivery and interaction in and with course materials and associated resources. Utilizing the Internet to deliver e-Learning initiatives has created expectations in higher educational institutions including collages and Universities. e-Learning affords a lot of opportunities. It offers an economic advantage for higher education by providing more value with less cost of running. Information may expensive to produce but cheap to reproduce. e-Learning is not just about the content, but most importantly the delivery of that content. Developers must consider and understand instructional design and its integration into building e-Learning course. In this paper we have examined the requirement of the e-Learning course developers and the adoption factors focusing on the developing countries. This study explores the issues surrounding the implementation of e-learning in higher education, including the structure and delivery of higher education, the implications to both learners and educators and the global impact of the society including the adaptability. We have critically analyzed the barriers and challenges of implementing successful e-Learning system in the higher education sector in a developing country like Bangladesh. We have also presented the possible solutions for overcoming the mentioned barriers.
Keywords: e-Learning Adoption, Online Higher Education, University, Developing Country, Challenge.

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A SURVEY ON ACCEPTABILITY OF E-LEARNING MBA OFFERED BY THE PRIVATE UNIVERSITIES IN BANGLADESH

Author
Touhid Bhuiyan
Faculty
Science and Technology
Queensland University of Technology (AUSTRALIA)
Abstract:
e-Learning is the new frontier in modern education system. Recently many universities have introduced and incorporated a number of e-Learning technologies to increase flexibility in course offerings and to enhance student learning experience. In general, online education is becoming very common in developed countries. It is already gained some level of acceptance in the worldwide academic industries. With the continuous advancement of the technology, now in addition to text, it is easy to use picture, video, sound, animation etc on the Internet. By using those tools, it is possible to offer many quality training programs or higher education courses over the Internet. Using the state of the art technology, now e-Learning offers a wonderful environment of learning. The mechanism of ensuring quality also increased significantly. In developed countries, many Universities are offering online higher education programs including MBA program. A developing country like Bangladesh has its own problem and style in the domestic business market. To design an effective curriculum of MBA program for the local students, only the local University can perform the best role. A survey result on the potentiality of e-Learning higher education programs offered by privately owned Universities in Bangladesh is analyzed and presented in this paper. 
Keywords: e-Learning, Online Education, Higher Education, Private University.
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