Management Information Systems Commons^™

A Machine Entity For A Coordinate Measurement Machine : The Generic Workcell Project, Richard C. Meyer

Theses

The Center for Manufacturing Systems (CMS) department at New Jersey Institute of Technology and Siemens Corporate Research located in Princeton have agreed to jointly implement a research project in generic workcell control architectures. This paper discusses the module, called a Machine Entity, developed by the author that interfaces the Brown & Sharpe Coordinate Measurement Machine located on the CMS factory floor with the cell control software. The module has been designed in such a manner to simplify the development of future Machine Entities, thereby reducing the time required to integrate the CMS factory floor.

Dynamic Machine Scheduling, Expansion, And Control Of A Generic Workcell, Peter A. Murray

Theses

Factory automation has come a long way since the invention of the automatic flour mill. A workcell is a group of machines (robots) working together to produce a product. In the past workcells have been hard wired using methods such as Programmable Logic Controllers (PLCs). To change a part of this system would require reprogramming the entire system.

The Generic Work Cell (GWC) is a dynamic architecture which allows a workcell to be modified on the fly. The architecture enables the generation of new cells with minimal effort, and the modification of the system without reprogramming the entire system. The …

Real-Tv : Rtp/L3'S Visual Monitor, Richard Czop

Theses

Today many real-world activities are being monitored and controlled by some type of micro-processor based system. Emphasis is placed on manufacturing and controlling through the use of computers. The inherent nature of these real-world applications makes them difficult to control and monitor. They must be built meeting strict timing constraints and must be predictable. We need to develop simplistic, reliable, and cost effective methods for building, evaluating, monitoring and controlling these complex systems. These tools should provide the user with system insight. At the New Jersey Institute of Technology Real-Time Computing Laboratory, we are building a system that will provide …

Searching For Orthogonal States Of Neural Networks, Heng Wang

Theses

Two approaches to find orthogonal states of neural network are presented in the paper. The first approach is a recursive one, it builds N orthogonal vectors based on N /2 orthogonal vectors. The second approach is a formula approach, in which orthogonal vectors can be obtained using a formula. Using these approaches, orthogonal states of neural network are found. Some properties of the neural network built on these orthogonal vectors are presented in Appendix A and some examples are given in Appendix B.

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 …

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.