IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY
Year:2010 | Volume:2 | Issue:3-4|Papers Count:7

In this paper we consider to embed a tree T with N vertices on a set of N points inside a simple polygon on n vertices and the goal is to minimize the number of bends. The main idea of our algorithm is modeling the problem into graph matching problem and uses the graph matching algorithms. We apply the concept of error-correction transformation and find the appropriate cost function then we perform the graph matching with the minimum cost for minimizing the number of bends. The time complexity of the proposed algorithm is found to be O (N2n+N4).

E-Commerce is going to be remembered as one of the most important concepts of the twentieth and twenty-first centuries, for a very unique reason: it is the combination of technology, business, marketing, and design. As well as the others, marketing has a long history. However, raising the Internet and e-commerce turns its utilization and practice into a modern way, as well as the others. One of the modern techniques of marketing is called viral marketing or so called Word-of-Mouth (WOM). This study is dedicated to reviewing the several strategies and key point of viral marketing. As the contribution, this study is focused on getting the window-shopping phenomenon to work, as a promoting factor on viral marketing strategies. In this paper, a case study on influence of window-shopping on a multi-stage customer decision process compared to that of WOM is been done as the empirical study deducing the applicability and competency of window-shopping.

Growing development of wireless technologies with a distinctive feature of this technology and the extent of spatial independence of its influence among the people have caused governments to move towards the use of this technology in their services and transactions. Measuring the growth rate in the state offering these services require the m-government maturity model. The aim of this study is providing a model for m-government maturity with considering the strength and deleting the weaknesses of existing models. Scientists have developed many e-government maturity models but only two m-services models. In this article, e-government maturity models and the experiences of other countries are studied and analyzed with met synthesis method mobile. Then the results are validated by questionnaires and surveys with experts opinion and using appropriate tests.  The results showed the Stages of this model are: Presence and release of information, interaction, transaction, vertical integration, horizontal integration, portal, Personalizing, optimization and innovation services. Three stages of transparency, accountability and democracy in this model, are parallel to the previous steps. Implementation of these three steps illuminates the roles of government in citizen’s interactions. While in the 8 previous section, citizens are considered as service recipient.

Enterprise Data Warehouse initiative is a high investment project. The adoption of Data Warehouse will be significantly different depending upon the level of readiness of an organization. Before implementation of Data Warehouse system in a firm, it is necessary to evaluate the level of the readiness of firm. A successful Data Warehouse assessment model requires a deep understanding of opportunities, challenges and influential factors that a typical firm’s Data Warehouse (DW) may include. Actually, data warehouse system is one of Knowledge Management and Decision Support System tools. By this system, the distributed data throughout organizations could be collected, extracted and integrated and with knowledge discovery and data mining the latent data can be extracted and analyzed In this paper, after reviewing the relevant literature and a comparative analysis of assessment models for organizational readiness for implementation of Data warehouse system, a conceptual framework was designed and its validity was approved by test of hypothesis. Then, by using analytical hierarchical process technique and its expert choice software, criteria and sub-criteria of influential factors were assessed and weighted. The validity and effectiveness of the model including, six criteria and 23 sub-criteria with main influential  factors named Information needs, Data structure , Organizational processes , Organizational factors ,Technical structure and Project management were approved by a field study and the relevant statistical analysis.

In this paper, the concept of secure synchronization of chaotic systems using adaptive and robust techniques , has been discussed and then a new secure communication scheme, based on secure synchronization of a general class of chaotic systems called Generalized Lorenz System, are presented. This communication scheme is combination of conventional cryptographic methods and chaotic modulation method. Analytical and simulation results using sine and voice signal and with unknown constant propagation delay between transmitter and receiver, have been presented. Also, robustness of this scheme against Gaussian channel noise with variance of, and security analysis of this communication system from brute-force viewpoint has been evaluated. By using this communication scheme, the very great key length has been obtained.

Mashups are next generation of web applications. A mashup is a lightweight web application that is created by combining information or capabilities from more than one existing resources to deliver a new and integrated experience to the user. Mashups introduce a new class of integration techniques in enterprises for implementing situational applications (i.e. applications that come together to solve an immediate, transient and specific business problem). In a dynamic, complex and competitive enterprise environment, it is impossible to predict and create all the future integrated applications. Enterprise mashups as a simple and quick solution helps small teams and individuals in an organization with limited knowledge in programming to create their desired integrated applications by combining and reusing internal resources of organization with resources published on the Internet. Currently there are many tools proposed by different software vendors to facilitate creating enterprise mashups. Although these tools facilitate creating enterprise mashups to some extent but still needs the mashup end-user to have some experiences in web technologies, information security and data structures of mashup components. Furthermore, the generated mashup is dependent on its components, so change or replacing a component is a complex and time-consuming task. This issue will be exacerbated in enterprise mashups that are created by knowledge workers. In this research, we aim to make creation of enterprise mashups semi-automatically by combining SOA (Service- Oriented Architecture), Semantic Web and Web 2.0 technologies. In addition, we propose a novel annotation mechanism to apply semantic descriptions and enterprise policies to the generated mashup.

Personalization needs to identify the learners’ preferences and their characteristics as an important part in any e-learning environment which without identify learners’ mental characteristics and their learning approaches, personalization cannot be possible. Whatever this identifying process has been done more completely and more accurately, the learner model that based on it will be more reliable. Using the combination and relation of effective theories in learning approaches detection such as learning style and cognitive trait, have been used in this research. Also for reducing ambiguity in learners’ opinions and their feedbacks, have been used fuzzy logic. This study was conducted  during one semester on some e-learning students in engineering field based on fuzzy recommender system in two phases. This recommender is part of Intelligent Tutoring System as prepared some recommendations based on learning style in first phase and on half of courses and in second phase and on remaining courses, prepared recommendations based on combination of two mentioneed theories. Learners’ ability have been monitored and evaluated based on fuzzy item response theory in all steps. Measures of Intelligent Tutoring System have been optimized after this combination that clarifies the presentation of accurate recommendations in appropriate time. The time of effective learning and  amount of referee to tutor have decreased, learner’s and tutor’s view to e-learning that define such as learners’ success rate and the learner’s satisfaction have improved increasingly.