Machinability of metallic and ceramic biomaterials : a review

The machining process is the most common method for metal cutting, especially in the fabrication of biomaterials and artificial implants. In modern industry, the goal of production is to manufacture products at a low cost, with the highest quality in the shortest time. The main focus of the research presented here is to provide a review of the machinability of metallic and ceramic biomaterials in traditional machining processes, such as turning, milling and grinding. Thereafter, machining strategies, machinability and surface characteristics post machining are discussed. To provide a better understanding of the machining process, various cutting tools and fluids are analysed. Finally, the current research gap and directions of prospect investigations are highlighted.

Incorporating domain knowledge with video and voice data analysis in news broadcasts

This paper addresses the area of video annotation, indexing and retrieval, and shows how a set of tools can be employed, along with domain knowledge, to detect narrative structure in broadcast news. The initial structure is detected using low-level audio visual processing in conjunction with domain knowledge. Higher level processing may then utilize the initial structure detected to direct processing to improve and extend the initial classification.

The structure detected breaks a news broadcast into segments, each of which contains a single topic of discussion. Further the segments are labeled as a) anchor person or reporter, b) footage with a voice over or c) sound bite. This labeling may be used to provide a summary, for example by presenting a thumbnail for each reporter present in a section of the video. The inclusion of domain knowledge in computation allows more directed application of high level processing, giving much greater efficiency of effort expended. This allows valid deductions to be made about structure and semantics of the contents of a news video stream, as demonstrated by our experiments on CNN news broadcasts.

A low overhead scaled equalized harmonic-based voice authentication system

With the increasing trends of mobile interactions, voice authentication applications are in a higher demand, giving rise to new rounds of research activities. Authentication is an important security mechanism that requires the intended communication parties to present valid credentials to the communication network. In a stronger sense, all the involved parties are required to be authenticated to one another (mutual authentication). In the voice authentication technique described in this paper, the voice characteristics of an intended individual wishing to take part in a communication channel will be classified and processed. This involves a low overhead voice authentication scheme, which features equalization and scaling of the voice frequency harmonics. The performance of this system is discussed in a Labview 8.5 visual development environment, following a complete security analysis. © 2013 Elsevier Ltd. All rights reserved.