This study is about discoveries of the religious factor and its influence towards purchase intention of organic food in Malaysia. Each religion teaches its followers to consume healthy food in their daily lives. Organic food is commonly known for its healthier content without the use of pesticides, herbicides, inorganic fertilizers, antibiotics and growth hormones. To a certain extent organic food is directly related to Halal, a preconditioned to the Muslim to consume certain permitted foods and preparation, consistent with the Shariah requirements. However, not every consumer view such circumstances as important though being encouraged by their religion to consume such food in a way promoted by the organic foods. The research aims to identify the religious factor and its impact towards the customer purchase intention in Malaysia. The findings of the study indicated that religious factor was found to have less impact on customer purchase intention of organic food. This is because the consumers could be looking on other vast factors such as perceived value and health consciousness in deciding to purchase organic food products. They may perceive that the existing conventional foods are perfectly matched with organic food and the consumers are fully confident that the foods are prepared in a way permitted by their religion. The result has shown some differences with the previous literature which described that religious factor plays one of the most influential roles in shaping food choice in certain countries of the world. Hence, this study is expected to provide understanding to both the industry players as well as academicians on the factors that influence Malaysian customer purchase intention towards organic food products as such phenomena might be different from

Vehicular adhoc network (VANET) has a significant potential in reducing traffic congestion to provide a stress-free and safer platform for road drivers to travel on the road. However, the current VANET is vulnerable to several challenges which need to be overcome. Congestion control is considered as one of the main challenges in VANET due to the high dynamic topology characteristic. Reliable congestion control (CC) are necessary to provide effectient dissemination of time-critical safety messages in VANET applications; safety and non-safety applications. In this paper, we present the overview on VANET, its application and challenges. We also discuss on the congestion control and provide a brief survey on the congestion control algorithms such as vehicular cloud computing, multiplicative rate decreasing algorithm, multi-objective Tabu search, D-FPAV algorithm and beaconing strategies which have been proposed in order to provide better solutions towards achieving a successful Smart Tranporation System.

Steganography is a part of information hiding in covering the hidden message in any medium such as text, image, audio, video and others. This paper concerns about the implementation of steganography in text domain called text steganography. It intends to concentrate on letter-based technique as one of the representative techniques in text steganography. This paper displays some techniques of letter-based that is integrated in one system technique displayeed in a logical and physical design. The integrated system is evaluated using some parameter that is used in order to discover the performance in term of capacity after embedding process and the time consuming in the development process. This paper is anticipated to contribute in describing the implementation of the techniques in one system and to display the performance some parameter evaluation.

Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.

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