Abstract This paper presents key results of studies in applications of MATLAB tools in experimental data analysis and curve fitting method of the modal analysis to determine mechanical properties of human bones in vivo from frequency response data. In studies and analyses, a seven parameter model of a bone from the mechanical response tissue analyzer (MRTA) method, offering an approach to... This paper presents key results of studies in applications of MATLAB tools in experimental data analysis and curve fitting method of the modal analysis to determine mechanical properties of human bones in vivo from frequency response data. In studies and analyses, a seven parameter model of a bone from the mechanical response tissue analyzer (MRTA) method, offering an approach to separate the effects of the soft tissue and bone, is employed within the frequency range of 400-6000 . The study results showed adequacy and appropriateness of applying MATLAB tools for curve fitting and determining mechanical properties of human bones in-vivo studies based on measured data of complex number valued frequency response functions and fitted data with a coefficient of determination of R2 = 0.956 …0.988. Read More Read Less

Abstract This paper presents the design and development of an authoring system for creating and building an application program for an eBook package, or an eBook portfolio, that would include metadata, meta-content, and other related materials and resources that are stored in a dedicated database. This system is basically a digitization process of the different phases of eBook authoring and development,... This paper presents the design and development of an authoring system for creating and building an application program for an eBook package, or an eBook portfolio, that would include metadata, meta-content, and other related materials and resources that are stored in a dedicated database. This system is basically a digitization process of the different phases of eBook authoring and development, as well as a structure collection of various types of content and information in a form of hypertext documents, multimedia, and presentations. Although the open eBook format standard has been developed in the late 1990s, it has been mainly driven by commercial and marketing issues in mind rather than academic or/and technical focus. The standard is to some extent limited, in the opinion of the authors, in some technical aspects, i.e. advanced search and indexations, as well as in the subject matter areas such as education where content requires more and diverse representations of the academic content.The authoring system, being proposed, has been designed with academic books in mind, it is still very much suitable for any type of documentation or eContent such as articles, papers, reports, and presentations. This approach of eBook and eContent authoring and development is very useful for online search, manipulation, indexing, distribution and even marketing purposes. Based on the proposed content structured content, web content can be easily and reliably accessible for search and information retrieval. Furthermore, Natural Language Processing techniques such as text mining, indexing, tagging, information retrieval for online content document processing would be implemented more reliable and efficiently. Overall design concepts and development of the authoring system approach is presented in this paper with the different phases involved. Read More Read Less

Abstract This paper considers accuracy of detecting geographic events (significant trips and stops made) from GPS track data. The proposed method modifies DBSCAN, a density-based spatial clustering algorithm, to temporal criteria to detect stops as spatiotemporal clusters, and uses temporal filtering to smooth out any misclassified values. Percent correctly classified based on the proposed method is 94% with kappa index .88.... This paper considers accuracy of detecting geographic events (significant trips and stops made) from GPS track data. The proposed method modifies DBSCAN, a density-based spatial clustering algorithm, to temporal criteria to detect stops as spatiotemporal clusters, and uses temporal filtering to smooth out any misclassified values. Percent correctly classified based on the proposed method is 94% with kappa index .88. Experimentation results indicate that a clusteringbased event detection algorithm combined with smoothing techniques provides a relatively reliable means to infer events from noisy GPS track data. Read More Read Less

Abstract One of the initial hurdles in taking advantage of big data is the ability to quickly analyze and establish its relevance. Intrinsic to this big data analysis problem is the need for tools to scale well in proportion to the growth of data and have the flexibility to operate across disparate datasets. Exact string matching is a fundamental tool used... One of the initial hurdles in taking advantage of big data is the ability to quickly analyze and establish its relevance. Intrinsic to this big data analysis problem is the need for tools to scale well in proportion to the growth of data and have the flexibility to operate across disparate datasets. Exact string matching is a fundamental tool used to search through data, though many existing algorithms do not scale well since their computational cost occurs and grows during reading of data. A proof of concept is presented in this paper which transfers all the required calculations to a pre-processing stage, removing all calculations during the reading stage; creating a search trie which incorporates the statistical distribution of characters in the search pattern to reduce overall calculation and lookups in a search. The resulting algorithm produces a total calculation costs which is independent of data (source) size. Preliminary results shows the new algorithm out performing existing general algorithms, as the search pattern becomes large for natural English text and when searching a small alphabet source (DNA). Read More Read Less