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Adopting recommendation mechanisms to process users' data is available on cloud computing to enhance the performance of modelling user preference. Using recommendation APIs available in cloud computing, our work focuses on developing hotel or lodging web applications with a trust-based recommendation service. The recommendation service accompanying trust relationship among users is advanced further to reduce the problem of cold-start users and data-rating sparsity. Additionally, a blockchain service is assisted with an online room-booking service. We suggest that the architecture for hotel or lodging applications is incorporated with a number of requested modules. A prototype is built by the proposed modules over a cluster platform and a blockchain net. The experimental results show that the trust-based recommender of the prototype contains more improved accuracy than general recommenders only with explicit rating data. A smart contract in a blockchain test net for the online room-booking service is implemented, executed, and evaluated.

In modern filmmaking industry, image matting has been one of the common tasks in video side effects and the necessary intermediate steps in computer vision. It pulls the foreground object from the background of an image by estimating the alpha values. However, the computational speed for matting high resolution images can be significantly slow due to its complexity and computation that is proportional to the size of unknown region. In order to improve the performance, we implement a parallel alpha matting code with OpenMP from existing sequential code for running on the multicore servers. We present and discuss the algorithm and experimentation results from the perspective of the parallel application developer. The development takes less effort, and the results show significant performance improvement of the entire program.

In this paper, we propose a parallel one-dimensional non-recursive fast Fourier transform (FFT) program based on conventional Cooley-Tukey's algorithm written in C using Cilk in single program multiple data (SPMD) style. As a highly compact designed code, this code is compared with a highly tuned parallel recursive fast Fourier transform (FFT) using Cilk, which is included in Cilk package of version 5.4.6. Both algorithms are executed on multicore servers, and experimental results show that the performance of the SPMD style of Cilk fast Fourier transform (FFT) parallel code is highly competitive and promising.

This study attempts to use the high-speed computing capability of cloud computing and smart phones to achieve a vehicle management system running on moving cars. Our researches exploit smart phones or tablet PCs as a car machine that provides an application of location-based services on the mobile device with global position system (GPS), wireless camcorder, Google-map, visualisation information, and graphical presentation to provide personalised services (Zhang et al., 2010; Sultan, 2010). This study allows users instantly to access the information and manage the movement of cars. Additionally, the location of golf carts, surrounding environment and personnel information are transmitted through a wireless network to the monitor centre. Thus monitor centre can achieve real-time services, motorcade managements and caddy caring services. If the proposed mechanism performs well, this study will be extended to some other applications in the near future.

Nowadays, mobile networks are a popular environment. The networks consist of diverse mobile equipments, and frequently change without predictions. Therefore, it is difficult to share and secure information among them. Hence, a workable infrastructure is essential to be proposed. This study combines base stations with a cloud-based infrastructure to construct secure mobile network communications. The infrastructure allows mobile phones, moving vehicles and different mobile devices to securely share information with each other. Each mobile device collects its adjacent information and sends it through base stations. Eventually, base stations deliver the collected data to a control centre which digests the mass data into valuable information and shares the precious result with mobile devices. During the data transmission, this study introduces several mechanisms to secure the transmitted data. The proposed infrastructure is quite suited for diverse mobile devices, and can be implemented on mobile communications.

According to the progress of web applications, websites are always designed toward facilitating interactive information sharing, establishing user-oriented service, and providing interoperability, and collaboration mechanisms. Colloquially, web applications in a service-oriented architecture are implemented as web services with XML-based protocols to provide plentiful information to users by object-oriented techniques. However, the above approach usually builds the complex and completed service combining and reusing separated function units instead of rapid development and URI-based service. This study establishes a travel website as a mashup-based web application based on an alternative approach as the architectural style of the website itself, representational state transfer. Using the mashup scheme, the proposed website is developed with the announced APIs of the third party to include rich service or resource from other web applications. The proposed case study also presented the efficient development with low cost and the effective finished features conforming users requirement. The advantages for the adopted schemes are described by implementing the proposed travel website.