A virtual repository approach to departmental information sharing

Realising the difficulties in information sharing among the academicians, this paper introduces an alternative information sharing model supporting information management features. The model is designed in an attempt to facilitate information distribution and information sharing at minimum effort and cost. A centralised database approach is used in the model enabling any educator in the higher learning institution to participate and manage the database, conceptualizing that the database is their very own ‘personal library’. This model is then implemented in an application given a persona name ViRepo –-a web-based internal virtual repository. The process of analysing, designing, and implementing the model into ViRepo is sufficiently reported in this paper. ViRepo proved that the model, in actual fact, allows information access, information sharing, information management, partnership enhancement, and allows an utmost repository control by each and every participating educator

Predicting Diseases Using Multi-BackPropagation

A Computer-based medical system plays an important role in the current practice of medicine. Initially, computer is used to store and manage information effectively. The computer becomes more important with the introduction of the intelligent system. The intelligent medical system increases the ability of medical practitioners in providing diagnosis and prognosis. Neural network is one of the artificial intelligence techniques that emulate the human neuron function. Neural network enable the computer to "learn" and "think" like human. However, learning usually involves a large amount of data. If more data is used, the network complexity will be increased. Complex network is hard to learn and take more time to generalize. Thus this study proposed a multi-network approach as oppose to the single network approach. Multi-network approach does not require any changes in neural network learning algorithm. Instead, the large data is divided into several smaller categories or network. Both approaches are tested and compared. The results show that the estimation time for the single network with 26 variables based on 7466 data set is approximately 1,037,472,836 milliseconds to complete the learning with 100 percent generalization performance. On the other hand, based on 256 data sets the network takes 2,459,172,864 milliseconds to complete the learning. The epochs are estimated as 359,544 and 26,2 14,400 respectively. In the multi-network approach, five different networks and one integration network were constructed. The experiments showed that all six networks managed to learn the data completely in only several epochs. The time taken by the networks are 281, 197, 32, 440, 83 and 22 respectively for the risk factor, medication, investigation, ECG, complication and integrating network. On average, this approach takes 175.833 milliseconds and 7.66667 epochs to complete the learning. The total training time for all networks to learn is 1055 milliseconds with 46 epochs. Although many networks have to be constructed and trained separately, the multinetwork approach has reduced the complexity of network with large data set and has overcome the limitation of the single network approach. This is because the networks represent all the possible combination of data, which were all used to train them respectively. That is in the multi network approach all data sets are used in training. The knowledge (weight) produced by the network can be applied for all possible data sets

Penggunaan WWW sebagai medium pendidikan interaktif

World Wide Web (atau WWW) merupakan media komunikasi tanpa sempadan yang semakin mendapat perhatian ramai. WWW berpontensi digunakan untuk pelbagai aktiviti yang memerlukan capaian dan maklum balas yang pantas dan berkesan.Pelbagai sumber boleh didapati di WWW. Sumber tersebut boleh dieksploitasi dan digunakan bagi tujuan pengajaran dan pembelajaran. Penggunaan WWW sebagai medium pendidikan, telah lama mendapat perhatian ahli akademik. Walau bagaimanapun, WWW sahaja tidak menjamin pembelajaran dan pengajaran yang interaktif. Oleh sebab itu, kertas kerja ini mencadangkan satu model pendidikan interaktif melalui WWW. Model tersebut menggabungkan Sistem Tutor Pintar dan antaramuka yang interaktif bagi menghubungkan pelajar, pendidik dan isi pembelajaran

Continuous use of online storage system for document sharing

This paper discusses the use of online storage for document sharing to support teaching and learning purposes.To date, online storage has become one of important tools for document storage and management.Online storage has reduced the dependency to the storage devices that are bound to size limit, cost and risk.A part of the storage capability, online storage can be used to share documents by allowing others to access the individual or a group of documents.In this study online storage namely Dropbox has been used to share digital media such as notes, presentation materials and handouts to students.Thus, the use of printed materials can be reduced.In addition the documents can be safely kept and access at any time and location that are connected to the internet.This study adapted Unified Theory of Acceptance and Use of Technology (UTAUT) to assess students’ perception and continuous use of Dropbox towards document sharing.The findings revealed that students have positive perception towards Dropbox.Furthermore, students have indicated that they are keen on continue using the Dropbox to support their learning

Demonstrating prolog usage: Building a simple game program

To demonstrate the use of Prolog and how programming in Prolog is easy and efficient, this paper describe an implementation of the game booby-trap, a game similar to Minesweeper found on most personal computers with windows

Integrasi rangkaian neural dan logik kabur dalam sistem pakar

Sistem pakar merupakan di antara sistem pintar terawal yang giat dibangunkan terutama dalam tahun 1970an. Walau bagaimanapun, keupayaan sistem pakar agak terbatas disebabkan oleh kewujudan masalah kekaburan dan ketakpastian dalam maklumat. Selain itu, sesetengah bidang masalah agak besar. Keadaan ini menyukarkan jurutera pengetahuan untuk mewakilkan kesemua pengetahuan pakar dalam pangkalan pengetahuan. Jesteru itu, kertas kerja ini mencadangkan integrasi rangkaian neural dan logik kabur dalam pembangunan sistem pakar. Rangkaian neural merupakan satu teknologi yang meniru fungsi otak manusia terutama dalam pembelajaran objek baru. Manakala logik kabur pula mampu menangani masalah kekaburan dan ketidakpastian maklumat. Integrasi rangkaian neural dan logik kabur ini digambarkan dalam rangka model integrasi Fuzzy-Neural-Expert

Market your Business using Facebook

Marketing is the process of communicating the value of a product or service to customers, for the purpose of selling that product or service. E-Marketing uses the Internet to deliver promotional marketing messages to consumers

KMICe eX: Conference management tool

The e-management application in organizing a conference is vital to help users whether they are organizers, reviewers, or authors who will make benefit from the Internet or web.The application is linked with the conference website that contains the conference information (such as the important dates, conference venue and the organizer) and the guidelines for presenters such as how to write and submit their papers.In developing such application, the important features and functions to be included have been identified and put into a working model. This article presents the working model which has been tested in organization KMICe 2008