A.H. Fauzi

Bluetooth mobile advertising system using pull-based approach

The focus of this paper is on the implementation of Bluetooth as a tool to provide m-advertising (mobile advertising). The paper attempts to introduce the implementation of Bluetooth m-advertising system based on user-driven concept using pull-based approach. User-driven concept gives flexibility to end users to select the preferred advertisements from the server while pull-based m-advertising provides advertisement to users based on their willingness and request. This paper also will address two issues in push-based m-advertising systems, which are spamming and time limit.

Analysis of Packets Abnormalities in Wireless Sensor Network

Wireless Sensor Networks (WSNs) use tiny, inexpensive sensor nodes with several distinguishing characteristics: they have very low processing power and radio ranges, permit very low energy consumption and perform limited and specific monitoring and sensing functions. However, its security becomes an issue because in WSNs, there is virtual communication by passing the data through sensor via internet. Caused of its limited capability, an intruder can attack the communication easier. Furthermore, routing in wireless sensor networks has, to some extent, been reasonably well studied. However, most current research has focused primarily on providing the most energy efficient routing. There is a great need for both secure and energy efficient routing protocols in WSN. Therefore, this project studies about the packets in WSN. To achieve the objectives, this project used AODV routing protocol to analyze the packets abnormalities in WSNs by using simulation technique. To show the differentiations of packets behaviors, the simulations have been conducted on AODV routing protocol under malicious node and without malicious node. It also conducts an analysis of packets behavior on flooding attack.

iPepper: Intelligent pepper grading and quality assurance system

Pepper is a key export of the state of Sarawak (Malaysian Borneo); it produces 98% of Malaysias pepper. At present, processed pepper berries are graded manually. This process is time consuming and error prone as it is very much dependent on the experience of the pepper grader. To overcome these weaknesses, we propose a Pepper Grading System which employs image processing and machine learning approaches using image features and moisture content data of the pepper berries. For instance, from initial tests, a high correlation between the grade of pepper berries to the colour features has been detected. Using existing machine learning algorithms in WEKA, we have obtained a 100% accuracy in categorising the pepper berries into the correct grades. In addition, moisture content and colourometer readings provide another 2 other parameters which may complement the image features in accurately classifying the berries into the right grades.

Community Trust Stores for Peer-to-Peer e-Commerce Applications

E-commerce applications have evolved from web-based selling via the Internet to selling in a P2P manner. P2P can enhance e-commerce applications to create lower cost systems compared to conventional client-server systems. However, P2P e-commerce applications will only be acceptable to users if they can provide robust, secure and equitable services to the peers involved during commercial transactions. In this paper, we propose use of a P2P shared store for trust information to support community based e-commerce applications. Nowadays, it can be economical and cheap to implement either in the cloud or in a distributed manner over the platforms of participating peers. Usage of a cheap and secure community store for trust data provides an effective alternative to conventional trusted third party support services for e-commerce transactions.

Automated machine for sorting Sarawak pepper berries

White pepper berries is one of the Malaysias key export as it is categorised as high valued commodity product. At present, processed white pepper berries are graded semi-automatically. This process is time consuming as it dependent on the experience of the pepper grader. In this paper we present a solution for Sarawak White Pepper grading using a combination of image processing technique and robotic solutions to sort pepper berries into their respective grades. In particular, we present the result of using different colour sensors. With the automated sorting machine, more high grades pepper berries are able to be sorted; this means more income to the smallholders, which are the local pepper farmers.

Identify the best location to place data based on social interaction in opportunistic network

Opportunistic networking is an evolution of Ad hoc mobile communication paradigm. Sharing information in opportunistic networks is challenging due to intermittent connectivity, short connection durations and a highly dynamic topology. Numbers of researches have proposed data dissemination approach to increase the chances of delivering information to the destination node with the minimum duration of time. This paper presents the mechanism of identifying the best location based on social interaction to increasing the data dissemination successful rate in opportunistic network. From the simulation results, we found that in the high density population, placing data based on identified location increases the data exchange between nodes about 38% compared to random data placement. Therefore placing data in the right place contribute the effective of data dissemination among mobile nodes.

Secure Community Trust Stores for Peer-to-Peer e-Commerce Applications Using Cloud Services

P2P e-commerce applications have much with lower operational costs and are inherently more scalable than conventional client-server online trading. Community Trust Stores (CTS) provide reliable and secure storage services for peers involved in P2P e-trading by storing trust data for the peers. Freely available cloud services can host the Community Trust Store and provide 24/7 availability to participating trading peers avoiding the need to pay for commercial trusted third party services. However, the community store must provide a certain level of assurance and support suitable security measures in order to support e-trading within the P2P application. It must also support community management of the store including jointly signed trading contract. The Community Trust Stores also stores reputation report and trading outcomes as future reference for others. New membership for P2P e-commerce group must be sponsored by current members.

Foreign matter identification in Piper Nigrum samples

The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding shows that image processing techniques eases the manual approach as it saves time and cost of human labour.