scholarly journals CONTROLLING OF AN INDUSTRIAL ROBOTIC ARM

2013 ◽  
pp. 230-235
Author(s):  
V. VENKATESWARLU ◽  
S. SREENIVASULU
Keyword(s):  
Response Time ◽  
Industrial Robot ◽  
Low Cost ◽  
Recognition Rate ◽  
Back Propagation ◽  
Industrial Robots ◽  
System Response ◽  
Back Propagation Algorithm ◽  
System Response Time ◽  
Artificial Neural Network Ann

Most of industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. In this paper is proposed an accelerometer-based system to control an industrial robot using two low-cost and small 3-axis wireless accelerometers. These accelerometers are attached to the human arms, capturing its behavior (gestures and postures). An Artificial Neural Network (ANN) trained with a back-propagation algorithm was used to recognize arm gestures and postures, which then will be used as input in the control of the robot. The aim is that the robot starts the movement almost at the same time as the user starts to perform a gesture or posture (low response time). The results show that the system allows the control of an industrial robot in an intuitive way. However, the achieved recognition rate of gestures and postures (92%) should be improved in future, keeping the compromise with the system response time (160 milliseconds). Finally, the results of some tests performed with an industrial robot are presented and discussed.

scholarly journals Analysis of work load by computer system response time in different type of VDT tasks

1985 ◽  
Vol 21 (4) ◽  
pp. 211-217 ◽  
Author(s):  
Akinori KOMATSUBARA ◽  
Yoshimi YOKOMIZO ◽  
Sakae YAMAMOTO ◽  
Kageyu NORO
Keyword(s):  
Response Time ◽  
Computer System ◽  
Work Load ◽  
System Response ◽  
System Response Time

Intelligent Vision Inspection System for IC Engine Head: An ANN Approach

2012 ◽  
Vol 479-481 ◽  
pp. 2242-2245 ◽  
Author(s):  
Rajesh Kanna ◽  
Manikandan Saravana
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Back Propagation ◽  
Engine Block ◽  
Inspection System ◽  
Back Propagation Algorithm ◽  
Ic Engine ◽  
Vision Inspection ◽  
System Module ◽  
Artificial Neural Network Ann

A machine vision system based on Artificial Neural Network (ANN) for inspection of IC Engine block was developed to identify the misalignment and improper diminishing of holes in the IC Engine block. The developed machine vision and ANN module is compared with the commercial MATLAB® software and found results were satisfactory. This work is broadly divided into four stages, namely Intelligent inspection module, Machine Vision module, ANN module and Expert system module. A system with a camera was used to capture the various segments of head of the IC Engine block. The captured bitmap format image of IC Engine block has to be filtered to remove the noises present while capturing and the size is also altered using SPIHT method to an acceptable size and will be given as input to ANN. Generalized ANN with Back-propagation algorithm was used to inspect the IC Engine block. ANN has to be trained to provide the inspected report.

The Impact of Computer Assistance on District Office Operations

1979 ◽  
Vol 23 (1) ◽  
pp. 586-590
Author(s):  
L. Dan Massey ◽  
Jerry T. Lawler
Keyword(s):  
Cost Effectiveness ◽  
Response Time ◽  
Capital Investment ◽  
System Response ◽  
Computer Assisted ◽  
Social Security Administration ◽  
Potential Cost ◽  
Computer Assistance ◽  
System Response Time ◽  
The Impact

To predict the potential cost effectiveness of computer assisted information processing in the District Offices (DOs) of the Social Security Administration (SSA), we developed a model of manpower allocation in present DO operations. We adapted existing SSA management data sources to quantify this baseline model. We also constructed a description of the changes in manpower requirements expected to occur on introduction of a hypothetical computer assisted system. We used analyses of user functional requirements to determine overall system capabilities. We used the results of user performance trials on a simulated system to quantify this change model. Significant reductions in manpower for processing of individual claims in the DO appear to be attainable. Computer system response time was identified as a controllable design characteristic with a strong effect on manpower requirements. Introduction of computer assistance to the DO could free manpower from mechanical clerical activities for application to more creative and professional functions. This manpower could be applied to expansion of SSA services and to improvement of DO service quality. An overall increase of 25% to 33% in workload processing capacity appears potentially attainable with computer assistance at current DO manpower levels. Suitable workstations might be based on use of individual personal computers or on sharing the resources of a single larger machine among a number of users. Consideration of relative costs and benefits suggests that the personal computer approach, while initially more costly, offers better control over system response time, which can have a major effect on system acceptance and cost effectiveness. It is likely that computer assistance for DOs will be deployed through workstations based on individual personal machines. Full recovery of capital investment can potentially be achieved in two years of actual operation.

Computer System Response Time and Psychophysiological Stress II

1982 ◽  
Vol 26 (8) ◽  
pp. 698-702 ◽  
Author(s):  
Stuart Martin Weiss ◽  
George Boggs ◽  
Mark Lehto ◽  
Sogand Shodja ◽  
David J. Martin
Keyword(s):  
Response Time ◽  
Repeated Measures ◽  
Psychological Impact ◽  
Industrial Process ◽  
Interactive Systems ◽  
Upper And Lower Bounds ◽  
System Response ◽  
User Performance ◽  
Experimental Conditions ◽  
System Response Time

With the advent of time-shared interactive systems, the psychological impact of system response time (SRT) and SRT variability (SRTV) has become an important issue. Carbonell, et. al. (1968) have suggested that both SRT and SRTV may influence system user performance and satisfaction. A number of studies have been reported that address this issue, but results have been mixed. In this experiment, twenty subjects ( Ss) executed keyboard entries to control the temperature of a simulated industrial process via time-shared process control computer. Temperature was displayed in analog form on a CRT. The task was to maintain the temperature within upper and lower bounds that were clearly indicated on the display. The experimental design consisted of repeated measures with SRT and SRTV as experimental factors. Three SRT's were employed (2, 6 and 10 seconds) with two levels of SRTV (σ2 = 0 and σ2 = 0.33 seconds). Mean blood pressure (MBP) and heart rate (HR) were continuously monitored during experimental conditions. Task errors were defined as temperature excursions beyond the displayed bounds. Significant main effects were not obtained for MBP or HR. Significant differences for error rate (performance) were noted for SRT ( F(2, 15) = 23.10, p < .05), subjects x SRT ( F37, 15) = 1.66, p < .001), and SRT x SRTV ( F(1, 15) = 13.14, p < .05). Error data are consistent with the Carbonell et. al. suggestion that long and variable SRT may affect user performance. The results are discussed in terms of their incongruity with current literature.

Solving the Problem of Determining the Maximum Fault Tolerance of Distributed Information Processing Systems with a Limit on Their Reactivity

2020 ◽  
Vol 63 (6) ◽  
pp. 44-50
Author(s):  
Andrey Scoba ◽  
◽  
Vladislav Mikhaylov ◽  
Ayesh Achmed Nafea Ayesh ◽  
◽  
...  
Keyword(s):  
Information Processing ◽  
Fault Tolerance ◽  
Response Time ◽  
System Response ◽  
Queuing Network ◽  
Distributed Information ◽  
Reliability Characteristics ◽  
System Response Time ◽  
Network States ◽  
Stationary Probabilities

The use of exponential Queuing networks for calculating the reliability characteristics of distributed in-formation processing systems is proposed. This allows you to naturally tie the reliability characteristics of the system (failure rates) with its technical and operational characteristics (the average response time of the system to user requests). And also reduce the problem to calculating stationary probabilities of Queuing network States. The article formulates and solves the optimization problem of finding the maximum fault tolerance of distributed information processing systems implemented on the basis of a two-level and three-level client-server architecture with a fixed value of the average system response time to user requests. The problem of determining the fault tolerance indicators of distributed information processing systems is reduced to the problem of deter-mining the stationary probabilities of Queuing network States. The article presents the results of numerical ex-periments. The analysis of the obtained results shows the prospects of using these models to obtain estimates of the reliability characteristics distributed information processing systems in various subject areas.

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