scholarly journals Design of on-line system for measuring and tracking time of assembly

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Katarína Senderská ◽  
Albert Mareš ◽  
Emil Evin
Keyword(s):  
Assembly Process ◽  
Manual Assembly ◽  
Line System ◽  
Proposed Model ◽  
On Line ◽  
Tracking Time ◽  
Work Done ◽  
Line Analysis

Abstract Manual assembly performed at assembly workstations nowadays still has a unique place in different kinds of production. To increase the productivity and quality of manual assembly it is necessary to analyse the existing workplaces and find ways to improve and streamline work done at these workplaces. The article deals with the design of a model for on-line analysis of a manual assembly process. The proposed model is based on the use of sensors or the so-called button-box and the use of software for recording and evaluating data. Based on the obtained data it is then possible to evaluate the time characteristics of the assembly process, aswell as to find sources of delays and mistakes and then take appropriate action to correct them.

On-line cardiac output by digital computer

1976 ◽  
Vol 40 (2) ◽  
pp. 266-268 ◽  
Author(s):  
F. Huber ◽  
I. E. Sodal ◽  
J. V. Weil
Keyword(s):  
Cardiac Output ◽  
Figure Of Merit ◽  
Base Line ◽  
Constant Ratio ◽  
Line System ◽  
In Series ◽  
On Line ◽  
Repeated Evaluation ◽  
Dilution Curves

Many devices for fast cardiac output calculations employ special assumptions and departures from the Stewart-Hamilton method. These assumptions and departures can cause substantial errors. This publication describes an on-line computer system for evaluating dye-dilution curves according to the classical Stewart-Hamilton method. Dilution curves are smoothed, using a digital filter to eliminate heartbeat noise. Recirculation is removed using the constant ratio property of exponentials. The quality of the curves is evaluated by determining the length of the base line, the extent and the fit to an exponential downslope, and a figure of merit based on the five tanks-in-series model. Dilution curves, the logarithmic form, and the exponential ratios are displayed on a CRT for visual checks. Comparison of cardiac outputs obtained by this on-line system with results obtained by hand calculations showed a mean difference of 150 ml. Repeated evaluation of one electronically simulated dye curve resulted in SD = 10 ml for computer results and SD = 200 ml for hand calculations.

scholarly journals Comparing Augmented Reality-Assisted Assembly Functions—A Case Study on Dougong Structure

2020 ◽  
Vol 10 (10) ◽  
pp. 3383 ◽  
Author(s):  
Chih-Hsing Chu ◽  
Chien-Jung Liao ◽  
Shu-Chiang Lin
Keyword(s):  
Augmented Reality ◽  
Assembly Process ◽  
Functional Design ◽  
Complex Objects ◽  
Manual Assembly ◽  
Scale Models ◽  
Architectural Innovation ◽  
Assembly Instructions

The Dougong structure is an ancient architectural innovation of the East. Its construction method is complex and challenging to understand from drawings. Scale models were developed to preserve this culturally-unique architectural technique by learning through their assembly process. In this work, augmented reality (AR)-based systems that support the manual assembly of the Dougong models with instant interactions were developed. The first objective was to design new AR-assisted functions that overcome existing limitations of paper-based assembly instructions. The second one was to clarify whether or not and how AR can improve the operational efficiency or quality of the manual assembly process through experiments. The experimental data were analyzed with both qualitative and quantitative measures to evaluate the assembly efficiency, accuracy, and workload of these functions. The results revealed essential requirements for improving the functional design of the systems. They also showed the potential of AR as an effective human interfacing technology for assisting the manual assembly of complex objects.

A Modified Dugoff Tire Model for Combined-slip Forces

2010 ◽  
Vol 38 (3) ◽  
pp. 228-244 ◽  
Author(s):  
Nenggen Ding ◽  
Saied Taheri
Keyword(s):  
Vehicle Dynamics ◽  
Tire Model ◽  
Magic Formula ◽  
Model Based ◽  
Proposed Model ◽  
Road Friction ◽  
On Line ◽  
Double Lane Change ◽  
Tire Forces ◽  
Tire Models

Abstract Easy-to-use tire models for vehicle dynamics have been persistently studied for such applications as control design and model-based on-line estimation. This paper proposes a modified combined-slip tire model based on Dugoff tire. The proposed model takes emphasis on less time consumption for calculation and uses a minimum set of parameters to express tire forces. Modification of Dugoff tire model is made on two aspects: one is taking different tire/road friction coefficients for different magnitudes of slip and the other is employing the concept of friction ellipse. The proposed model is evaluated by comparison with the LuGre tire model. Although there are some discrepancies between the two models, the proposed combined-slip model is generally acceptable due to its simplicity and easiness to use. Extracting parameters from the coefficients of a Magic Formula tire model based on measured tire data, the proposed model is further evaluated by conducting a double lane change maneuver, and simulation results show that the trajectory using the proposed tire model is closer to that using the Magic Formula tire model than Dugoff tire model.

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

2018 ◽  
pp. 45-51
Author(s):  
A. V. Ponomarev
Keyword(s):  
Large Scale ◽  
Wide Spectrum ◽  
Preference Relation ◽  
Pairwise Comparison ◽  
Ground Truth ◽  
Comparison Method ◽  
Characteristic Matrix ◽  
Image Tagging ◽  
Proposed Model

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 

Automatic buffer capacity based sensor for effluent quality monitoring

1996 ◽  
Vol 33 (1) ◽  
pp. 81-87
Author(s):  
L. Van Vooren ◽  
P. Willems ◽  
J. P. Ottoy ◽  
G. C. Vansteenkiste ◽  
W. Verstraete
Keyword(s):  
Wastewater Treatment ◽  
Buffer Capacity ◽  
Wastewater Treatment Plants ◽  
Data Interpretation ◽  
Full Scale ◽  
Quality Monitoring ◽  
Effluent Quality ◽  
Capacity Curves ◽  
On Line

The use of an automatic on-line titration unit for monitoring the effluent quality of wastewater plants is presented. Buffer capacity curves of different effluent types were studied and validation results are presented for both domestic and industrial full-scale wastewater treatment plants. Ammonium and ortho-phosphate monitoring of the effluent were established by using a simple titration device, connected to a data-interpretation unit. The use of this sensor as the activator of an effluent quality proportional sampler is discussed.

scholarly journals Nodule Detection with Convolutional Neural Network Using Apache Spark and GPU Frameworks

2021 ◽  
Vol 11 (6) ◽  
pp. 2838
Author(s):  
Nikitha Johnsirani Venkatesan ◽  
Dong Ryeol Shin ◽  
Choon Sung Nam
Keyword(s):  
Neural Network ◽  
Radiation Dose ◽  
Convolutional Neural Network ◽  
Model Performance ◽  
Performance Comparison ◽  
Apache Spark ◽  
Training Time ◽  
Learning Framework ◽  
Proposed Model

In the pharmaceutical field, early detection of lung nodules is indispensable for increasing patient survival. We can enhance the quality of the medical images by intensifying the radiation dose. High radiation dose provokes cancer, which forces experts to use limited radiation. Using abrupt radiation generates noise in CT scans. We propose an optimal Convolutional Neural Network model in which Gaussian noise is removed for better classification and increased training accuracy. Experimental demonstration on the LUNA16 dataset of size 160 GB shows that our proposed method exhibit superior results. Classification accuracy, specificity, sensitivity, Precision, Recall, F1 measurement, and area under the ROC curve (AUC) of the model performance are taken as evaluation metrics. We conducted a performance comparison of our proposed model on numerous platforms, like Apache Spark, GPU, and CPU, to depreciate the training time without compromising the accuracy percentage. Our results show that Apache Spark, integrated with a deep learning framework, is suitable for parallel training computation with high accuracy.

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