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Articles 1 - 8 of 8
Full-Text Articles in Physical Sciences and Mathematics
An Analysis Of Document Retrieval And Clustering Using An Effective Semantic Distance Measure, Nathan Scott Davis
An Analysis Of Document Retrieval And Clustering Using An Effective Semantic Distance Measure, Nathan Scott Davis
Theses and Dissertations
As large amounts of digital information become more and more accessible, the ability to effectively find relevant information is increasingly important. Search engines have historically performed well at finding relevant information by relying primarily on lexical and word based measures. Similarly, standard approaches to organizing and categorizing large amounts of textual information have previously relied on lexical and word based measures to perform grouping or classification tasks. Quite often, however, these processes take place without respect to semantics, or word meanings. This is perhaps due to the fact that the idea of meaningful similarity is naturally qualitative, and thus difficult …
Algorithms For Some Geometric Facility Location And Path Planning Problems., Sasanka Roy Dr.
Algorithms For Some Geometric Facility Location And Path Planning Problems., Sasanka Roy Dr.
Doctoral Theses
The facility location problem is a resource allocation problem that mainly deals with adequate placement of various types of facilities to serve a distributed set of demands satisfying the nature of interactions between the demands and facilities and optimizing the cost of placing/maintaining the facilities and the quality of services.The facility location problem is well-studied in the Operations Research literature and recently has received a lot of attention in the Computer Science community. For a company, the facility location problem provides more strategic decisions than just giving importance to locate the lowest cost space for storing its products. While identifying …
Teaching Successful "Real-World" Software Engineering To The "Net" Generation: Process And Quality Win!, William L. Honig
Teaching Successful "Real-World" Software Engineering To The "Net" Generation: Process And Quality Win!, William L. Honig
Computer Science: Faculty Publications and Other Works
Software engineering skills are critical for students seeking careers as software developers. However, academic course content often fails to teach practical, "real-world" software engineering as it is done in large organizations. Further, the proclivities of the current generation leave students disinclined to the disciplines of process and quality. Academics seldom use the Team Software Process (TSP), a leading methodology of global industries. Four years of data indicate that student teams using TSP can achieve industry levels of productivity and reasonable quality levels. Further, results from 23 teams and over 200 students indicate that these Net-Generation students developed an understanding for …
Geometric Primitives In Digital Images: Analyses And Applications Using Digital Geometry., Partha Bhowmick Dr.
Geometric Primitives In Digital Images: Analyses And Applications Using Digital Geometry., Partha Bhowmick Dr.
Doctoral Theses
No abstract provided.
Combining Soa And Bpm Technologies For Cross-System Process Automation, Sebastian Herr, John Shafaee, Konstantin Läufer, George K. Thiruvathukal, Guido Wirtz
Combining Soa And Bpm Technologies For Cross-System Process Automation, Sebastian Herr, John Shafaee, Konstantin Läufer, George K. Thiruvathukal, Guido Wirtz
Computer Science: Faculty Publications and Other Works
This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges …
Expanding The Database Curriculum, Meg Murray, Mario Guimaraes
Expanding The Database Curriculum, Meg Murray, Mario Guimaraes
Faculty and Research Publications
As database concepts and technologies continue to evolve there exists a need to expand the topics included in database curricula. This is challenging given the restraints on the number of courses that can be included in a typical CS or IS program. While a set of commonly identified core concepts and principles exists, there is little consensus on what supplemental materials should be included in database courses. Through an NSF proof-of-concept grant, we designed and developed courseware incorporating the use of animations to deepen and enrich standard presentations of core database concepts and to complement database teachings as found in …
Examining Granular Computing From A Modeling Perspective, Ying Xie, Jayasimha R. Katukuri, Vijay V. Raghavan
Examining Granular Computing From A Modeling Perspective, Ying Xie, Jayasimha R. Katukuri, Vijay V. Raghavan
Faculty and Research Publications
In this paper, we use a set of unified components to conduct granular modeling for problem solving paradigms in several fields of computing. Each identified component may represent a potential research direction in the field of granular computing. A granular computing model for information analysis is proposed. The model may suggest that granular computing is an instrument for implementing perception based computing based on numeric computing. In addition, a novel granular language modeling technique is proposed for information extraction from web pages. This paper also suggests that the study of data mining in the framework of granular computing may address …
Emergent Behavior In Massively-Deployed Sensor Networks, Ekaterina Shurkova, Ruzana Ishak, Stephan Olariu, Shaharuddin Salleh
Emergent Behavior In Massively-Deployed Sensor Networks, Ekaterina Shurkova, Ruzana Ishak, Stephan Olariu, Shaharuddin Salleh
Computer Science Faculty Publications
The phenomenal advances in MEMS and nanotechnology make it feasible to build small devices, referred to as sensors that are able to sense, compute and communicate over small distances. The massive deployment of these small devices raises the fascinating question of whether or not the sensors, as a collectivity, will display emergent behavior, just as living organisms do. In this work we report on a recent effort intended to observe emerging behavior of large groups of sensor nodes, like living cells demonstrate. Imagine a massive deployment of sensors that can be in two states "red" and "blue". At deployment time …