Human Operator Performance Testing Using an Input-Shaped Bridge Crane

2005 ◽  
Vol 128 (4) ◽  
pp. 835-841 ◽  
Author(s):  
Attir Khalid ◽  
John Huey ◽  
William Singhose ◽  
Jason Lawrence ◽  
David Frakes
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Performance Testing ◽  
Human Operator ◽  
Input Shaping ◽  
Bridge Crane ◽  
Georgia Institute ◽  
Operator Performance ◽  
Human Operators ◽  
Institute Of Technology

The payload oscillation inherent to all cranes makes it challenging for human operators to manipulate payloads quickly, accurately, and safely. An input-shaping controller was implemented on a large bridge crane at the Georgia Institute of Technology to reduce crane payload oscillation. The crane was used to study the performance of human operators as they drove the crane through obstacle courses. An image processing system was implemented to track the movement of the crane payload. Data from these experiments show that operators performed manipulation tasks faster, safer, and more effectively when input shaping was utilized to reduce payload sway.

Human Operator Learning on Double-Pendulum Bridge Cranes

2007 ◽  
Author(s):  
Dooroo Kim ◽  
William Singhose
Keyword(s):  
Control Method ◽  
Performance Testing ◽  
Human Operator ◽  
Input Shaping ◽  
Double Pendulum ◽  
Bridge Crane ◽  
Theoretical Limit ◽  
Control Scheme ◽  
Human Operators ◽  
Input Shaping Control

Oscillation of crane payloads makes it challenging to manipulate payloads quickly, accurately, and safely. The problem is compounded when the payload creates a double-pendulum effect. This paper evaluates an input-shaping control method for reducing double-pendulum oscillations. Human operator performance testing on a 10-ton industrial bridge crane is used to verify the effectiveness and robustness of the method. The tests required the operators to drive the crane numerous times over a period of eight days. Data from these experiments show that human operators perform manipulation tasks much faster and safer with the proposed control scheme. Furthermore, considerably less operator effort is required when input shaping is used to limit the oscillation. These experiments also show that significant learning occurred when operators did not have the aid of input shaping. However, the performance never approached that achieved with input shaping without any training. With input shaping enabled, only moderate learning occurred because operators were able to drive the crane near its theoretical limit during their first tests.

Crane Operation Using Hand-Motion and Machine Vision

2009 ◽  
Author(s):  
Kelvin Chen Chih Peng ◽  
William Singhose ◽  
Jonathan Fonseca
Keyword(s):  
Experimental Data ◽  
Image Processing ◽  
Motion Control ◽  
Processing System ◽  
Bridge Crane ◽  
Hand Motion ◽  
Input Shaper ◽  
Control Interface ◽  
New Type ◽  
Human Operators

Payload oscillation inherent to all cranes makes it challenging for human operators to manipulate payloads quickly, accurately, and safely. A new type of crane control interface that allows an operator to drive a crane by moving his or her hand freely in space has been implemented on an industrial bridge crane. An image processing system tracks the movement of a glove worn on the operator’s hand and its position is then used to drive the crane. Matlab simulations of the crane dynamics and hand-motion control were compared with actual experimental data. The results show that a combination of aggressive PD gains and an input shaper is able to generate the desired characteristics of fast payload response and low residual oscillations.

The Effects of Biodynamic Stress on Workload in Human Operators

1988 ◽  
Vol 32 (19) ◽  
pp. 1409-1413
Author(s):  
William B. Albery ◽  
Harry G. Armstrong ◽  
Merry M. Roe ◽  
Charles D. Goodyear ◽  
Kathy A. McCloskey
Keyword(s):  
Task Performance ◽  
Human Operator ◽  
Operator Performance ◽  
Human Operators ◽  
Operator Workload

The objective of this research was to assess the effects of two biodynamic stressors, noise and acceleration, commonly experienced in the aircraft cockpit, on human operator performance and workload. Thirteen workload measures, including one subjective, four performance and eight physiological, were recorded on subjects performing a dual psychomotor task. The results indicate that biodyanmic stressors such as noise and acceleration can adversely affect subjective operator workload without affecting objective task performance.

scholarly journals Computer Based Tools to Locate and Measure the Disease Infected Area of Rice Leaves

2014 ◽  
Vol 18 (2) ◽  
pp. 209-213
Author(s):  
MM Billah ◽  
MM Bhuiyan ◽  
MA Ashraf
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Image Processing System ◽  
Infected Area ◽  
Decision Making Processes ◽  
Computer Based ◽  
Rice Leaves ◽  
Image Pixels ◽  
Human Operators

Computer based image processing system has been developed to automatically calculate the damaged area and also to identify the location of disease infected area of rice leaves. The developed image processing system separates the infected regions on leaf by pixel-wise processing. The color intensities associated with image pixels are used as inputs, which are taken by the software and produce the desired output. Experimental results show that the proposed system can produce accurate results in every case whereas conventional eye-estimation technique is not accurate. The amount of damaged area, as identified by proposed software system, can potentially be used in many decision making processes, like determination of the amount of pesticides need to be sprayed in a field. Moreover, an automated machine can be combined with this software to eliminate the requirement of human operators. Also this system may eliminate the requirement of costly Leaf Area Meter.DOI: http://dx.doi.org/10.3329/pa.v18i2.18210 Progress. Agric. 18(2): 209 - 213, 2007 

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

EMCAT: An automatic image-processing system for electron-microscopic tomography

1994 ◽  
Vol 52 ◽  
pp. 418-419
Author(s):  
Weiping Liu ◽  
John W. Sedat ◽  
David A. Agard
Keyword(s):  
Image Processing ◽  
Structural Information ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Processing System ◽  
Electron Microscopic ◽  
Data Set ◽  
Ordered Structures ◽  
Automatic Image Processing ◽  
Em Tomography

Any real world object is three-dimensional. The principle of tomography, which reconstructs the 3-D structure of an object from its 2-D projections of different view angles has found application in many disciplines. Electron Microscopic (EM) tomography on non-ordered structures (e.g., subcellular structures in biology and non-crystalline structures in material science) has been exercised sporadically in the last twenty years or so. As vital as is the 3-D structural information and with no existing alternative 3-D imaging technique to compete in its high resolution range, the technique to date remains the kingdom of a brave few. Its tedious tasks have been preventing it from being a routine tool. One keyword in promoting its popularity is automation: The data collection has been automated in our lab, which can routinely yield a data set of over 100 projections in the matter of a few hours. Now the image processing part is also automated. Such automations finish the job easier, faster and better.

Refinements and validation testing of human operator performance emulator (HOPE).

1981 ◽  
Author(s):  
Esther L. Davenport ◽  
Joanne Green ◽  
William E. Sears ◽  
Harold F. Engler
Keyword(s):  
Human Operator ◽  
Operator Performance ◽  
Validation Testing
Sign in / Sign up

Export Citation Format

Share Document