International Journal of Information Science and Management (IJISM)
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Changes in The M. A. Curriculum of Librarianship and Information Sciences in Iran
This article aims at reviewing the curricula related to the discipline of Library and Information Sciences, M. A. level, exercised since 1967 In Iran. Changes and modifications in these programs will be focused on. The main points in the program used since 1978 together with ways of implementing them in any of the 7 subdisciplines of this major will also be discussed. Later, the reasons behind using or ignoring certain courses will also be explained. It will be mentioned that basic courses, in this discipline, must not be put aside as Information Technology is gaining an everincreasing importance; because, such a phenomenon will question the existance of faculties running such courses, at M. A. level, alltogether
'Push' and 'Pull' Modeling for RosettaNet’s PIPs
This paper analyses and compares the performances of Business-to-Business e-Commerce data quality and service quality among the use of the ‘Push’ and ‘Pull’ models. RosettaNet’s original Partner Interface Processes use the ‘Push’ model which suffers from data redundancy when the volume of business-to-business transaction increases. However, when the ‘Pull’ model is used, although it reduces data redundancy, it has a greater chance of not getting the latest updates. It is then argued that if the ‘Push’ and ‘Pull’ models are combined, the resulting model would further enhance the overall trade document interchange performance with improved data quality and greater personalizability, especially among the smaller non-Electronics industries
University Library Buildings of the Future
Various view points of the library planners about the future’s library buildings have been explained in this paper. With the advances in information technology, some librarians believe that modern and well planned library buildings are not so necessary in the future. On the other hand, many others believe that more modern and well technologically equipped library buildings should be built to fulfill the future needs of the library users. Characteristics of the future library buildings have also been enumerated in this paper. The need for various spaces for computers and other information technology equipment has been emphasized throughout the paper
A Saas-Based Approach in an E-Learning System
In the United States schools in the K12 School System, that provide education for primary, junior and senior high school students, are moving toward information systems to solve and automate some manual processes performed in these schools. With this movement, and the pressure on schools to use technology to improve student achievement, many schools are turning to learning management systems as a way to enhance student learning. Recent surveys show that K-12 online learning is a rapidly growing phenomenon. Also, many states in the United States, including Michigan, require an online experience for all graduates. Due to the rapid growth of cloud computing and Platform-as-a-Service (PaaS) there has been a shift towards web applications in some E-Business systems. Another shift is in the way software is being delivered to the end-user, namely using the Software-as-a-Service (SaaS) model. System integration is part of the huge challenge facing K12 schools in small and large school districts. Not having an integrated system is causing schools many tribulations, such as inconsistent data, duplicate manual data entry, and extra time needed to manage user accounts, and non-productive time spent on technical support. In addition, the task of maintaining the individual systems is time consuming. Despite the potential advantages, these systems can bring challenges to schools’ existing architecture. This research paper focuses on a comprehensive and innovative solution based on a conceptual framework and utilizing Web 2.0 technologies. The aim with the research project was to design a conceptual architecture for next generation of education system (E-Education 2.0), based on open source and Web 2.0 technologies, and utilizing cloud computing. This proposed solution has involved an analysis of all the business and information technology systems in the K12 environment. The solution also addresses the concerns of stakeholders by utilizing an integrated enterprise architecture, and when implemented would result in a cost effective, adaptable and scalable E-learning System. Teachers will be able to integrate information technology based features into the curriculum. Furthermore, the proposed solution provides a clear roadmap of how to transition existing individual systems into one integrated system, based on SaaS and PaaS technologies. The introduction of E-learning management systems into the mainstream K12 schools is expected to solve some of the problems in this education sector, but poses challenges such as systems integration of existing architectures. While SaaS has been widely used and adopted in several countries, there are still barriers to entry in developing countries
E-Learning: From A Pedagogical Perspective
The steady growing innovations in the area of information and communication technology have raised new concepts and possibilities in different life aspects. In the field of further education and professional training, electronic learning and Web-based education are perhaps the most prominent ones. Proponents of this technology claim that e-learning courses are at least as effective as corresponding traditional ones, and therefore sometimes a very good substitute for it. Although there are so many similarities between traditional and e-learning systems, confronting the extended range of e-learning users -with very different prior knowledge of the domain, backgrounds, learning styles, interests and preferences- is no more possible with the “one-size-fits-all” approach. Hence, creation and management of instructional content would be the major hazard in e-learning industry. Contents should be provided considering social, cultural and pedagogical characteristics of the learners. E-learning covers a wide set of applications and processes. With such an extended scope, covering number of available e-learning tools is extensive. Though, in recent years, features and capabilities of authoring tools have been drastically improved. Concepts such as “adapting to the needs of learners” and “personalized content” make authoring tools play a more prominent role in the process of creating learning contents. In this paper, we propose a new pedagogical perspective in web-based learning environments. This perspective explores the most prominent opportunities of the information technology era, in order to ensure a more meaningful learning. Advantages, limitations and particularly deficiencies of e-learning systems are investigated based on this perspective. Also, in order to cover the importance of authoring tools in the performance of e-learning systems, capabilities and limitations of current available authoring tools are comparatively studied. These comparisons are based on criteria such as compatibility with e-learning standards, the amount of time and cost needed for the instructional design and potential features. Outcomes of the study emphasize on the importance of the learning variables such as cognitive, social and affective learners’ characteristics, which play a critical role in the design and implementation of web-based learning systems. These outcomes would certainly be of significant help with enhancing the decision making procedure for managers and presidents of learning areas, which may be overwhelmed by all the technology decisions they have to make, the number of choices available, and the terminology they may not be familiar with. These outcomes would basically lead to determining basic factors of learner satisfaction and therefore improving educational performance
Building An Efficient Indexing For Crawling The Website With An Efficient Spider
With the present effort, we propose to investigate results of applying the Right-Truncated Index-Based Web Search Engine in order to determine its usefulness for storing and retrieving Arabic documents. The Right-Truncated Index-Based Web Search Engine, being a program for reading any set of Arabic documents accepts a query, and then processes both the documents and the query. Thus, it selects (predicts) those documents most relevant to the query which has been inserted. The program encompasses both a morphological component and a mathematical one. The morphological component allows the researcher to run either a stemming algorithm or a right-truncated algorithm. The chief advantage of the stemming algorithm is that it uses the least possible amount of storage for indexing by mapping the inflected and derived terms into a single, indexed-stem word. On the other hand, the right-truncated algorithm reduces the amount of storage to a lesser degree, but increases the probability of retrieving relevant (user-favorable) documents, compared to the stemming algorithm. One of the purposes of our investigation is to compare the efficiency of these two indexing mechanisms. The mathematical component of the algorithm accepts the output of the right truncation algorithm, and then employs both term-frequency and inverse document-frequency (TF-IDF) in order to establish the relative importance of each document, respective to the terms of the query. This paper also describes building a simple search engine based on a crawler or a spider. The clawer which indexes different types of documents is an algorithm to crawl the file systems from specified folder. A basic design and object model was developed to support single search word results as well as multiple search words results. It is capable of finding data to index by following (tracing) web links rather than searching directory listings in the file system. In this process files are downloaded through HTTP and HTML pages parsed in order to obtain more links without getting into a recursive loop. Also, this paper discusses how to improve indexing mechanism efficiency using a right truncated stemmer in terms of Arabic documents processing
A Robust Window-Based Active Queue Management Based on H ∞ Control
In order to make the best utilization of a link in computer networks, Active Queue Management (AQM) algorithms are generally used in a variety of methods. In this paper, a systematic control strategy based on self-scheduled H∞, considering the dynamics of the window-based TCP flow, is proposed. Then, the robustness of the designed controller to disturbance and parameter fluctuations of the plant is shown via simulation results
On-Line Identification of Non-Linear Systems Using Adaptive RBF-Based Neural Networks
This paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (RBF) neural networks, i.e. growing and pruning radial basis function (GAP-RBF) and minimal resource allocation network (MRAN) to cater for on-line identification of non-linear systems. The original sequential learning algorithm is based on the repetitive utilization of sequential input-output data in order to accomplish the training phase. Some interesting modifications have been proposed in the growing and pruning neurons criteria of the original GAP-RBF neural network to make the resulting modified GAP-RBF (MGAP-RBF) neural network suitable for on-line system identification applications. The Unscented Kalman Filter (UKF) has been proposed as a new learning algorithm to update the parameters of MRAN, GAP-RBF and MGAP-RBF neural networks. Moreover, to keep the resulting parameter estimation routines more sensitive to track any possible time-varying system dynamics, a variable forgetting factor strategy has been included in the UKF learning algorithm. The proposed identification algorithms have been tested on a nonisothermal continuous stirred tank reactor (CSTR) and the chaotic Mackey Glass time-series as two different benchmark problems. The resulting performances of the MRAN, GAP-RBF and the proposed MGAP-RBF neural networks being estimated with the extended Kalman filter (EKF) or the UKF learning algorithm have been evaluated for comparison purposes. Simulation results show the superiority of the proposed MGAP-RBF neural network estimated with the UKF learning algorithm
Various Correlations between the H-Index and Citation Rate (CPP) in Neuroscience and Quantum Physics: New Findings
Traditional bibliometric indicators are only partially suitable for evaluating the scientific achievements of individual people. They are either notdefinitive or they are too complicated to use due to technical and methodological difficulties. There is still no definite evidence for thecorrelation between the citation rate (CPP) and the H-Index. In order to obtain a reliable assessment of what the relation is between the H-Index andthe citation rate, we performed a study on 30 relevant scientists from the disciplines of "particle physics" and "neurology". The foregoing discussionson the different correlations revealed that the form and degree of correlation do not just vary considerably between the individual comparisons but alsoamongst the disciplines. In both disciplines, the correlation between the citation rate CPP and the H-Index was relatively low. We also found varyingdegrees of correlation here
Hard Limits on the Growth of the Internet and Computing Capacity
The last few years have seen an explosion in the deployment and use of the Internet, networking and telecommunication technologies. This was followed by significant increases in the speed and capacity of computing, for example Petaflop supercomputers are becoming common. We will examine some of the developments; explain their importance and potential impact. Many forecasts and predictions have been made about the impact of the increases of computing capacity and the growth of the Internet and the world wide web. In this talk we will introduce some of the favorite predictions and will analyze the possibilities for their realization in the long run. The analysis shows that there exist hard limits on the growth of the Internet and the increase in computing capacity. They prove that it is unlikely that some of the predictions will hold in the long run. The restrictions are based on basic physical and economic limitations, which generate tight bounds on the realization of such predictions. The bounds will occur much faster than expected by the simple forecasters