NBC News Scripts
WBAP-TV (Television station : Fort Worth, Tex.)
1954-12-31
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Automatic Text Categorisation (TC) involves the assignment of one or more predefined categories to text documents in order that they can be effectively managed. In this thesis we examine the possibility of applying automatic text categorisation to the problem of categorising texts (web pages) based on whether or not they are racist.
TC has proven successful for topic-based problems such as news story categorisation. However, the problem of detecting racism is dissimilar to topic-based problems in that lexical items present in racist documents can also appear in anti-racist documents or indeed potentially any document. The mere presence of a potentially racist term does not necessarily mean the document is racist. The difficulty is finding what discerns racist documents from non-racist.
We use a machine learning method called Supp...
Database systems employ physical structures such as indexes and materialized views to improve query performance, potentially by orders of magnitude. It is therefore important for a database administrator to choose the appropriate configuration of these physical structures (i.e., the appropriate physical design) for a given database. Deciding on the physical design of a database is not an easy task, and a considerable amount of research exists on automatic physical design tools for relational databases. Recently, XML database systems are increasingly being used for managing highly structured XML data, and support for XML data is being added to commercial relational database systems. This raises the important question of how to choose the appropriate physical design (i.e., the appropriate set of physical structures) for an XML database...
A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.
Automatic fall detection is a major issue in taking care of the health of elderly people and has the potentialof increasing autonomy and independence while minimizing the risks of living alone. It has been an active researcharea due to the large demand of the healthcare association for fall detection goods. Fortunately, due to the recentfast progression in sensing technologies, fall detection system becomes prospective. It permits to monitor elders anddetect their falls, and consequently provides emergency support whenever needed. This paper describes the currentwork of detecting falls in independent living apartments using accelerometer concealed under tiles. We present theup-to-date advancement of data collection, feature extraction, feature selection, and signal changing detection, whichare essential phases of this work.
A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.
A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.
Embedded system designers continuously face a twofold challenge handling the ever-increasing complexity of design and meeting the ever-shrinking time-to-market timeline. To meet such a challenge, the system design paradigm has shifted to platform-based design characterized by intensive use of software and aggressive reuse of verified components. More and more designs are turning to heterogeneous platforms to meet design constraints in multiple criteria. However, the use of such and heterogeneity generates more challenges for platform-based design. To address the challenges, system designers must utilize system-level methodologies for specification and design. Here the designers begin the design process by coming up with a computation modelthat captures the behavior of the system. The computation model is successively refined down to th...
The code reuse problem is a common software engineering problem in scientific
computing. As a prevailing programming language in many scientific fields,
Fortran does not provide support to address this problem. One particular
reason is that Fortran lacks the support for generic programming. By applying program-generation techniques, we developed two approaches to address the code reuse problem. The first approach is to design a program generator for the equation-based specification of subroutines that can be
generic in the dimensions of arrays, parameter lists, and called subroutines.
We apply that approach to a real-world problem in scientific computing, which
requires the generic description of inverse ocean modeling tools. In addition to a compiler that can transform generic specifications into efficient Fortran code for model...
