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This study reports a simple method to design the shear force sensor using the SOI wafer with polymer filler (PDMS). The shear force sensor contains three sensing units: two cantilevers with piezo-resistors are the sensing units to detect shear force in two orthogonal directions and the central membrane with piezo-resistors is the sensing unit to monitor the normal load. The polymer filler serves as the interface layer for force transmission and the protection layer for suspended sensing units. The performance of the shear force sensor can be improved by varying the cavity size of sensing cantilevers. Measurements indicate that the sensitivity increases for 4-fold (from 0.039%/kPa to 0.17%/kPa) as the cavity size W cavity ×L cavity increases from 300μm×550μm to 700μm×1350μm. This study provides a simple approach to both the design and process to change performances of the shear force sensor.

According to those features proposed in this paper we let the normal user’s computers get involved in the data grid system easily, and share their powerful resources with the system. Users also can download the resources in this storage system so that data can be efficiently transferred. In this work, we make users’ computers involved in this distributed storage system easily, and share their powerful resources under this P2P environment. Users can download the files from this P2P distributed storage system. To transfer more efficiently, this paper also proposes a parallel transfer algorithm for every node and replication mechanism. The experiment results have shown it is an effective parallel transfer method, which not only use network bandwidth more, but also reduce the download transfer time.

In this work, we make utilization of users’ computers involved in this distributed storage system easily, and share their powerful resources with this P2P environment. Users can download the files from this P2P distributed storage system. To transfer more efficiently, this paper also proposes a parallel transfer algorithm for every node and replication mechanism. The experiment results have shown it is an effective parallel transfer method, which not only use network bandwidth more, but also reduce the download transfer time.

The objective of this paper is to implement and evaluate a cluster computing environment by clustering idle PCs (personal computer) with Diskless slave nodes on campuses in order to obtain the effectiveness of the largest computer potency. Two sets of cluster platforms BCCD and DRBL are used to compare parallel computing performance. The objective is to prove that DRBL has better performance than BCCD in this experiment. In order to achieve the objective of a platform for Free Software Teaching, DRBL is applied to the computer classroom, enabling PCs to be manually or automatically switched among different OS (operating system) of Windows, Free Software Teaching and PC Cluster. The bioinformatics program, mpiBLAST, is executed smoothly in the Cluster architecture as well. Through comparing various aspects of performance, including performance of Switch, Swap, this paper is attempted to find out the best Cluster environment in computer classroom at school. Finally, HPCC is used to demonstrate Cluster performance.

In this paper, we present a peer-to-peer file sharing platform combined with data grid system for mobile devices. Facing the limit of network bandwidth and unstable signal strength in wireless network, wireless peer-to-peer architecture is now widely accepted as a new computing paradigm for wireless devices. In wireless P2P architecture, one can speedup parallel file transfer and enhance the communication stability by establishing multiple concurrent P2P connections. This paper mainly applies data grid system to deal with the problems of file location discovery and client certification. We propose an architecture that uses GridFTP protocol to establish a video sharing platform for mobile devices. Combined with data grid, the system can perform video analysis and classification upon on its computing resources, keeping the files in the newest state at all times.

Increases in mobile device processing power, storage capacity, and connectivity have led to a rapid rise in mobile device use. But it is due to wireless network limit, unstable characteristic and restricted storage space, so mobile users face challenges in establishing connections with other users for sharing video files. To address this issue, we propose an architecture that uses GridFTP protocol to establish a video sharing platform for mobile devices, combined with a data grid to help analyze and classify videos. We hope our system be a convenient sharing video way in wireless network, and promote more people use wireless devices.