Management Information Systems Commons^™

An Experimental Sequence Examining The Effect Of Task Type, Memory Condition, And Display Presentation Type On Performance Time And Error Rate, Using Columnar Table Versus Vertical Bar Graph Versus Line Graph, Suparna Das

Theses

A total of 126 subjects at various levels of school and a health related manufacturing firm participated in three experiments that compared Tables, Line graphs and Bar graphs forms of data presentation. The experiments were performed each consisting of a training task followed by answering some questions based on the presented material. The experimental series were presented to six groups. Group 1, 3, 5 viewed Line graphs, Tables or Bar graphs respectively while answering the questions while the other three groups answered questions based on memory of either Line graphs, Table or Bar graph presentation.

The independent variables were:

1. Memory …

Reuse And Productivity In Integrated Computer-Aided Software Engineering: An Empirical Study, Rajiv D. Banker, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

Growing competition in the investment banking industry has given rise to increasing demand for high functionality software applications that can be developed in a short period of time. Yet delivering such applications creates a bottleneck in software development activities. This dilemma can be addressed when firms shift to development methods that emphasize software reusability. This article examines the productivity implications of object and repository-based integrated computer-aided software engineering (ICASE) software development in the context of a major investment bank's information systems strategy. The strategy emphasizes software reusability. Our empirical results, based on data from 20 projects that delivered software for …

The Performance Of Training Pattern Sets In A New Art-Based Neural Architecture For Image Enhancement, Fu-Chun Chang

Theses

Neural network can be applied on the image enhancement after adding another two layers into the Adaptive Resonance Theory architectures (ART 1). The analysis for selecting a nice training pattern set associate the appropriate vigilance values is the main concerns in this thesis. For a single training pattern ,the network can act as a mathematical morphology operators such as erosion , dilation, opening and closing. With more than one training patterns in the network, 16 experiments are tested and are compared to each other in order to find the best selection for doing the image enhancement work. With both the …

Rule-Based Module And Object-Oriented Design For Optical Character Recognition, Min Gao

Theses

In this thesis, I present a optical character recognition technique based on the rule-based module and object-oriented design. A document image is first scanned, and then segmented into isolated characters by the use of projection profiles. The recognition procedures include three steps: contour extraction, strokes detection and rule-based classification. The contour extraction is to extract the outbound boundary and to perform the boundary linking and noise removal. The stroke detection is to detect the features or strokes of the outbound boundary, such as horizontal/vertical lines, left/right slash lines and left-/right-opened curves. The rule-based classification consists of two rules: character definition …

Cascading Of Ever Adaptive Variation Of Lzw Algorithm With Arithmetic Coding Method, Ramesh Vishwanatham, Ketan Tejani

Theses

Two known compression algorithms appropriate for communication are LZW and the Arithmetic Coding method. Both algorithms are adaptive and require no extra communication from the encoder to the decoder. We have considered a variation of LZW algorithm known as Online version which result in better compression. Here we present a scheme to cascade Online LZW with Arithmetic algorithms into an Ever Adaptive data compression algorithm which achieves higher compression ratio and is appropriate for communication.

Cascading Of Arithematic Coding Method With The Lzw Algorithm, Venkat R. Maram, Nageshwar R. Kadakuntla

Theses

Two known compression algorithms appropriate for communication are the LZW algorithm and the Arithmetic Coding method. Both algorithms are adaptive and require no extra communication from the encoder to the decoder. We present a scheme to cascade these algorithms into an adaptive algorithm which achieves higher compression ratio and is appropriate for communication.

Parameter Non-Stationarity In A Model To Estimate The Business Value Of Information Technology, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

Developing robust and refined measures to quantify strategic impacts is a major challenge facing researchers who seek to improve methods for IT investment evaluation. This paper presents a means to test for parameter "non-stationarity" in a model which quantifies the strategic contribution of IT. An iterative "jackknife" procedure is used to diagnose if different local competitive and demographic conditions present in branch banking enhance or suppress leverage on deposit market share associated with membership in an ATM network. Preliminary results suggest this approach will be useful for managers who need to evaluate similar ITs which operate in different environments.

Enhancing Manufacturing Planning And Control Systems Through Artificial Intelligence Techniques, Ronald S. Dattero, John J. Kanet, Edna M. White

MIS/OM/DS Faculty Publications

Manufacturing planning and control systems are currently dominated by systems based upon Material Requirements Planning (MRP). MRP systems have a number of fundamental flaws. A potential alternative to MRP systems is suggested after research into the economic batch scheduling problem.

Based on the ideas of economic batch scheduling, and enhanced through artificial intelligence techniques, an alternative approach to manufacturing planning and control is developed. A framework for future research on this alternative to MRP is presented.