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2006

Graduate Theses, Dissertations, and Problem Reports

Industrial engineering

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Use Of Data Mining For Investigation Of Crime Patterns, Manoday D. Padhye Dec 2006

Use Of Data Mining For Investigation Of Crime Patterns, Manoday D. Padhye

Graduate Theses, Dissertations, and Problem Reports

Lot of research is being done to improve the utilization of crime data. This thesis deals with the design and implementation of a crime database and associated search methods to identify crime patterns from the database. The database was created in Microsoft SQL Server (back end). The user interface (front end) and the crime pattern identification software (middle tier) were implemented in ASP.NET. Such a web based approach enables the user to utilize the database from anywhere and at anytime. A general ARFF file can also be generated, for the user in Windows based format to use other Data Mining …


Software Application For Emergency Responders, Safer 2.0, Saritha Reddy Potula Dec 2006

Software Application For Emergency Responders, Safer 2.0, Saritha Reddy Potula

Graduate Theses, Dissertations, and Problem Reports

The SAFER 2.0 was developed as a web based information system for the First Responders involved in dealing with the hazardous materials incidents. The software tool enables First Responders to view and identify the substances involved in a hazard via a secure Internet connection. The tool also aids in identifying the unknown substances based on the physical description (color, odor, texture, gas/liquid, etc.), symptoms and other information available at the site of the incident. The system is based on the 2004 North American Emergency Response Guidebook (ERG2004) and NIOSH Pocket Guide (NPG). ERG2004 was developed for use by firefighters, police, …


Inventory Models For Production Systems With Constant/Linear Demand, Time Value Of Money, And Perishable/Non-Perishable Items, Karen N. Oganezov Dec 2006

Inventory Models For Production Systems With Constant/Linear Demand, Time Value Of Money, And Perishable/Non-Perishable Items, Karen N. Oganezov

Graduate Theses, Dissertations, and Problem Reports

This research considers inventory systems for economic production models where the objective is to find the optimal cycle time, which minimizes the total cost, and optimal amount of shortage if it is allowed. Several aspects such as time value of money, inflation, constant and linear demand rates, shortages, and deterioration are considered in developing different models. Closed formulas are obtained for the optimal policy in one model. For others, more complex models where closed formulas cannot be obtained, search techniques are used to find the optimal solution.;First, a deterministic inventory control problem is considered for determination of optimal production quantities …


A Comparison Of The Relative Efficiency Of Tracking Signals In Forecast Control, Balasubramanya Krishnamurthy Dec 2006

A Comparison Of The Relative Efficiency Of Tracking Signals In Forecast Control, Balasubramanya Krishnamurthy

Graduate Theses, Dissertations, and Problem Reports

An important aspect of forecasting system is monitoring the process for forecast accuracy. Tracking signals test is an effective detection method for occurrence of nonrandom changes. In this research, the relative efficiency of Cumulative Sum (CUSUM), Smoothed Error, Backward CUSUM, Autocorrelation and Parabolic CUSUM tracking signals were compared according to ARL1 criterion and percentage of trips detected within N periods. For simulating response to a step, 1,000 series of demands were generated, each covering run-ins of 40 periods and 75 periods after introduction of the step. The response of tracking signals to step sizes of 1sigma, 2sigma, 3sigma and a …


Ground Penetrating Radar (Gpr) Based System For Nondestructive Detection Of Interior Defects In Wooden Logs, Dayakar Devaru Dec 2006

Ground Penetrating Radar (Gpr) Based System For Nondestructive Detection Of Interior Defects In Wooden Logs, Dayakar Devaru

Graduate Theses, Dissertations, and Problem Reports

A previous study used GPR to scan logs and the scanned data was processed and analyzed using RADAN software. This data processing using RADAN software needs an expert and is time consuming. Also, the output from RADAN software cannot be used to generate manufacturing process instructions since it will be in the form of an image. For online implementation of GPR scanning, a quick automated defect detection system with numerical output is required.;To incorporate automated defect detection system, a MATLAB algorithm has been developed. Validation of the MATLAB algorithm output has been done by comparing with the results of RADAN …


Characterization Of Laboratory Simulated Road Paving-Like Asphalt By High Performance Liquid Chromatography And Gas Chromatography-Mass Spectrometry, Brandon F. Law Aug 2006

Characterization Of Laboratory Simulated Road Paving-Like Asphalt By High Performance Liquid Chromatography And Gas Chromatography-Mass Spectrometry, Brandon F. Law

Graduate Theses, Dissertations, and Problem Reports

Prolonged, extensive exposure to asphalt fume has been associated with several adverse health effects. Inhaled polycyclic aromatic hydrocarbons (PAHs) from asphalt fume exposure are of concern. The objective of this study was to characterize both qualitative and quantitative differences between fumes generated at 150°C and 180°C using a well controlled laboratory road paving fume generation system. Fumes were characterized by (1) total vapor and particulate concentration, (2) simulated boiling point profile and (3) specific PAH content. The mean concentrations of the vapor fractions generated at 180°C and 150°C were 23.3 mg/m3 and 11.2 mg/m3, respectively, demonstrating a statistically significant increase …


Analysis Of Energy Consumption In Continuous Galvanizing Lines, Raviraj Ratnakar Chavan Aug 2006

Analysis Of Energy Consumption In Continuous Galvanizing Lines, Raviraj Ratnakar Chavan

Graduate Theses, Dissertations, and Problem Reports

The pot hardware in continuous galvanizing lines is prone to failure and needs to be replaced quite frequently. This resulted in considerable loss of production time. Also equipment like, the molten zinc pot and annealing furnace cannot be turned off during downtime resulting in considerable energy consumption during downtime too.;A profound study of the energy aspect of the equipment used on galvanizing line was done. A systematic approach was used to collect and analyze the data from galvanizing facilities. A decision support system (DSS) that will take into account all the major energy consuming equipment in a typical hot dip …


An Evaluation Of Vibration And Other Effects On The Accuracy Of Grip And Push Force Recall, Thomas W. Mcdowell May 2006

An Evaluation Of Vibration And Other Effects On The Accuracy Of Grip And Push Force Recall, Thomas W. Mcdowell

Graduate Theses, Dissertations, and Problem Reports

Operators of vibratory hand tools can be at risk of developing health problems associated with repeated forceful actions and exposure to intense hand-transmitted vibration. To better assess health risks, comprehensive risk evaluations of these tasks must include quantitative assessments of hand-tool coupling forces. Researchers have used instrumentation for such measurements; but those techniques may be ill-suited for certain field environments. Psychophysical force-recall techniques have been proposed as alternatives to handle instrumentation. This study comprised two experiments that examined the effects of vibration and other factors upon force-recall accuracy and reliability. In each experiment, participants applied specific grip and push forces …


Models For Calculating Confidence Intervals For Neural Networks, Ashutosh R. Nandeshwar May 2006

Models For Calculating Confidence Intervals For Neural Networks, Ashutosh R. Nandeshwar

Graduate Theses, Dissertations, and Problem Reports

This research focused on coding and analyzing existing models to calculate confidence intervals on the results of neural networks. The three techniques for determining confidence intervals determination were the non-linear regression, the bootstrapping estimation, and the maximum likelihood estimation. Confidence intervals for non-linear regression, bootstrap estimation, and maximum likelihood were coded in Visual Basic. The neural network used the backpropagation algorithm with an input layer, one hidden layer and an output layer with one unit. The hidden layer had a logistic or binary sigmoidal activation function and the output layer had a linear activation function. These techniques were tested on …


Process Costing Of Microchip, Dipesh Gajera Jan 2006

Process Costing Of Microchip, Dipesh Gajera

Graduate Theses, Dissertations, and Problem Reports

The CMOS microchip is the workhorse of the semiconductor industry. An estimated price of a CMOS chip for an 8" wafer was stated as {dollar}1.65/chip (65). The manufacturing model was formed with practical processing times, number of machines, steps of manufacturing process, labor required, construction costs, land costs, etc as input parameters. This cost model attempts to analyze costs and calculate the cost per chip. Different sections of costs have been individually analyzed in turn to reflect their impact on the finished product. A simulation model has been run to reflect an actual semiconductor manufacturing scenario. Simulation model is also …


Integration Of Statistical And Neural Network Method For Data Analysis, Krishna Kumar Chavali Jan 2006

Integration Of Statistical And Neural Network Method For Data Analysis, Krishna Kumar Chavali

Graduate Theses, Dissertations, and Problem Reports

The issues that are to be considered while selecting data analysis methods are data type and expected solution type. Incorrect selection of either can lead to incomplete solution leading user taking an uninformed decision. The software developed for this thesis (SANE - Statistical And NEural network data analysis) is aimed at enabling a user to use advanced data analysis techniques to handle a given research issue. An effective navigation system is designed for user to select the analysis method by responding to a set of questions. SANE provides web based data analysis using statistical and neural networks methods. The statistical …


Minimizing The Makespan In A Flexible Flowshop With Sequence Dependent Setup Times, Uniform Machines, And Limited Buffers, Bret Crowder Jan 2006

Minimizing The Makespan In A Flexible Flowshop With Sequence Dependent Setup Times, Uniform Machines, And Limited Buffers, Bret Crowder

Graduate Theses, Dissertations, and Problem Reports

This research addresses the problem of minimizing the makespan in a flexible flowshop with sequence dependent setup times, uniform machines, and limited buffers. A mathematical model was developed to solve this problem. The problem is NP-Hard in the strong sense and only very small problems could be solved optimally. For exact methods, the computation times are long and not practical even when the problems are relatively small. Two construction heuristics were developed that could find solutions quickly. Also a simulated annealing heuristic was constructed that improved the solutions obtained from the construction heuristics. The combined heuristics could compute a good …


Relationship Between Damper Resistance And Damper Insertion Depth, Ranjit Jangam Jan 2006

Relationship Between Damper Resistance And Damper Insertion Depth, Ranjit Jangam

Graduate Theses, Dissertations, and Problem Reports

Experiments were performed to determine a predictive model for sliding gate damper resistance (Xdamper). Independent variables included eight ratios of insertion depth (I) to duct diameter (D), two different values of D, four different levels of air velocity, two damper orientations, and two damper edges (Concave/Straight). Analysis of Log (Xdamper) values showed a highly linear relationship with I/D and high statistical significance (p<0.05) for all independent variables and for most two-way interactions. Nearly the entire regression model (R2 = 0.985) was explained by I/D, so all but I/D and Edge were dropped from the final model: Y Log(Xdamper) = -1.434 + 0.089*(Edge) + 4.30*( I/D) (R2 = 0.978). The resulting predictive model: Xdamper = 0.037*10(0.089*(Edge )+4.3*I/D). However error for untransformed Xdamper increased sharply with increasing (I/D) and percent errors were as high as 125% across all values of (I/D). Hence the predictive models are useful for only initial rough adjustment and should be followed by final trial and error adjustment to goal air flow.


Solution Techniques For A Crane Sequencing Problem, Jin Shang Jan 2006

Solution Techniques For A Crane Sequencing Problem, Jin Shang

Graduate Theses, Dissertations, and Problem Reports

In shipyards and power plants, relocating resources (items) from existing positions to newly assigned locations are costly and may represent a significant portion of the overall project budget. Since the crane is the most popular material handling equipment for relocating bulky items, it is essential to develop a good crane route to ensure efficient utilization and lower cost. In this research, minimizing the total travel and loading/unloading costs for the crane to relocate resources in multiple time periods is defined as the crane sequencing problem (CSP). In other words, the objective of the CSP is to find routes such that …


Comparison Between Human Perception Of Risk Of Injury And Niosh Wpg For Lifting Tasks, Viviana Carolina Baggio Jan 2006

Comparison Between Human Perception Of Risk Of Injury And Niosh Wpg For Lifting Tasks, Viviana Carolina Baggio

Graduate Theses, Dissertations, and Problem Reports

Low back injuries are highly prevalent in industry, recreational environs and in work at home. It is believed that humans are not able to judge the biomechanical risk of injury inherent with performing lifting tasks. This experiment studies the impact of lifting geometry (e.g., the horizontal, vertical and travel distances of a lift), frequency, gender and age upon an observer's perception of injury risk when looking at a task before attempting a lift. Subjects completed a questionnaire with a series of 54 pictures showing different lifting tasks; subjects then ranked their perceived risk of injury on a scale of 0 …