Noteworthy Projects






Web caching (WC) and pre-fetching (WP) are ubiquitous technologies that can increase the speed of Web loading processes. Since speed and memory are crucial aspects in enhancing the performance of mobile applications and Websites, a better technique for Web loading process should be investigated. In addition, another problem is too many login and password to remember at the same time. The proposed methods were used for a new technology known as an Intelligent Mobile Web Pre-caching (IMWeP) that consist of global pre-fetching (PGP) to develop a list of top twenty Websites and to fetch the public and private websites faster than the traditional method as a pull request by a user in mobile applications. In this context, Extensible Markup Language (XML) file is used for pushing local pre-fetching (PLP) and saved into a mobile memory. PLP also provides a dynamic tree-view, which combine all favourite features and sub-features for mobile applications and websites in one root and one screen. This proposed solution was proved to be faster in searching or accessing process for a user to interact within mobile applications and proxy cache. The implementation had been done on Facebook Mobile, MYahoo, MyEG and Airasia to investigate the loading time based on PLP and PGP for multi platform of a mobile operating system consists of Android, iPhone and iPad. Hence, once sign-on will enable a user to authenticate one time for all dynamic, Web 2.0 mobile applications and websites.




 A new method of enhancing a user’s experience on using a web application via a mobile device comprising the steps of the pre-fetching priorities’ features in a favourite list stored in the mobile device in the form of XML file; directing the user to the priorities feature of the initial current browsing session.  A number of hits of each feature recorded accumulatively in one or more previous browsing sessions and in a proxy cache using a log data to fetch the public and private websites faster than the traditional method.   A dynamic tree-view representation for features and sub features websites and mobile applications in one root and one screen based on local browsing history is more effective compared to an existing static site map for all existing features and for a specific website only. In addition, the user also can control the time to keep the log data on the proxy cache through mobile phone, which more flexible than the conventional way that control through the administrator for that proxy cache only.


This project proposes the Intelligent Mobile Web Pre-caching (IMWeP) system that accumulates the hits for each mobile application and website feature while users browse the activity by automatic classification of users’ most favourite’s features.  IMWeP records each activity and pre-fetches the activity during the second login and only once time to authenticate the user as long as the user is not logout his or her favourite mobile applications and websites. The user also can control his or her proxy cache and browser a specific website from the top twenty lists.



Commercialisation value


IMWePcan be used for all users over the world as long as either they have a smart phone, PDA and tablet. This product can be used for Web services, network, communication and mobile application development industry. Moreover, this product can be applied to multi mobile platform including iPhone, Android and iPad (the top three ranking from seven platforms of the mobile platform usage). The benefits to customer and company are listed below:


Customer benefits


Convenience with any type of platforms and smart phones.

Convenience with any type of platforms and smart phones.

Easy to use: does not require a new phone.

Provide fast information through favour mobile applications and websites using a mobile device.

Improve on human memorability according to favour features of mobile applications and websites and also provide a unique and dynamic view of the features and sub  features base on their historical browsing in one root and one screen.

Once sign-on.

Control a proxy cache on mobile.


Company benefits


Convenience for Web services, network, and mobile app development industry.

Capable to centralise mobile apps and websites needs by an employer and employees with fast loading.

New apps = increased sales (10% of 3 billion mobile users @ 99 cent per license, approximately $300 million as a return).

Low risk and cost = proxy cache is provided. They do not have to spend on maintenance task.


Business model


The customer value chain for this product as shown below:




Their partner






Phone supplier (Nokia, Samsung, Apple)


Teenagers and


Online distributor

Telecommunication company (TM, Maxis, Celcom)

Retailer store

Smart phone users

Universities and government


The business ecosystem to show the organisms of the business world co-evolve capabilities and roles as depicted below:


Market research/Validation


A number of reasons to explore the issues in mobile WC and WP have motivated this product.  Currently, there is a need to improve the mobile Web pre-caching systems as they can affect the performance of the Web today especially for mobile devices. The usage of the mobile Internet grows yearly. From 1981 to 2011 onwards the mobile market growth from early adoption phase to mobile as a platform as a KPI to be focused.

Consequently, the worldwide demand for mobile applications is set to explode in the next three years as the total value of the market could grow to US$17.5 billion (CNET, 2011).  Currently, over 1,000 mobile applications are downloaded via the Maxis network daily, and from that, about 10 per cent are local contents (Business Times, 2011).  With over 3 billion mobile users today, mobile devices have become the most ubiquitous communication medium in the hands of the consumers (Infosys Blogs, 2011). Today, the booming mobile application platform is very popular for business expansion (Free Articles Directory, 2011). Mobile application sales and revenue will increased from 2009 to 2013 onward from 2.5 billion in 2009 up to 21.6 billion in 2013 for application sales estimation and from 4.2 billion in 2009 up to 29.5 billion in 2013 for application revenue estimation.