An efficient feature selection method for mobile devices with application to activity recognition

This paper presents a feature selection method for data classification, which combines a model-based variable selection technique and a fast two-stage subset selection algorithm. The relationship between a specified (and complete) set of candidate features and the class label is modelled using a non-linear full regression model which is linear-in-the-parameters. The performance of a sub-model measured by the sum of the squared-errors (SSE) is used to score the informativeness of the subset of features involved in the sub-model. The two-stage subset selection algorithm approaches a solution sub-model with the SSE being locally minimized. The features involved in the solution sub-model are selected as inputs to support vector machines (SVMs) for classification. The memory requirement of this algorithm is independent of the number of training patterns. This property makes this method suitable for applications executed in mobile devices where physical RAM memory is very limited. An application was developed for activity recognition, which implements the proposed feature selection algorithm and an SVM training procedure. Experiments are carried out with the application running on a PDA for human activity recognition using accelerometer data. A comparison with an information gain based feature selection method demonstrates the effectiveness and efficiency of the proposed algorithm.

Using smart people to form future mobile wireless networks

The concept of a body-to-body network, where smart communicating devices carried or worn by a person are used to form a wireless network with devices situated on other nearby persons. New innovations in this area will see the form factor of smart devices being modified, so that they may be worn on the human body or integrated into clothing, in the process creating a new generation of smart people. Applications of body-to-body networking will extend well beyond the support of cellular and Wi-Fi networks. They will also be used in short-range covert military applications, first responder applications, team sports and used to interconnect body area networks (BAN). Security will be a major issue as routing between multiple nodes will increase the risk of unauthorized access and compromise sensitive data. This will add complexity to the medium access layer (MAC) and network management. Antennas designed to operate in body centric communications systems may be broadly categorized as on- or off-body radiators, according to their radiation pattern characteristics when mounted on the human body.

Characterization of IS2112, a new insertion sequence from Rhodococcus, and its relationship with mobile elements belonging to the IS110 family

A new insertion sequence (IS2112) was identified in the genome of the 1-haloalkane-utilizing bacterium Rhodococcus rhodochrous NCIMB 13064. The insertion element is 1415 bp long, does not contain terminal inverted repeats, and is not flanked by directly repeated sequences. IS2112 belongs to the IS110 family of transposable elements, and forms a separate subfamily, along with IS116, Two copies of IS2112 were found in R, rhodochrous NCIMB 13064 and one, two or three copies of a similar sequence were detected in five other 1-haloalkane-degrading Rhodococcus strains. There were no sequences homologous to IS2112 found in the l-haloalkane-degrading 'Pseudomonas pavonaceae' 170 and Rhodococcus sp, HA1 or in several Rhodococcus strains which do not utilize haloalkanes, IS2112 was originally found in plasmid pRTL1 of R. rhodochrous NCIMB 13064 which harbours genes encoding utilization of l-haloalkanes, and was located 5 kbp upstream of the haloalkane dehalogenase gene (dhaA), Although the second copy of IS2112 in strain NCIMB 13064 was also present on the pRTL1 plasmid, these sequences do not apparently comprise a single composite transposon encoding haloalkane utilization. An analysis of derivatives of NCIMB 13064 revealed that IS2112 was involved in genome rearrangements. IS2112 appeared to change its location as a result of transposition and as a result of other rearrangements of the NCIMB 13064 genome.