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Windows for Workgroups
Published in Paul W. Ross, The Handbook of Software for Engineers and Scientists, 2018
The Print Manager for Windows for Workgroups works slightly differently than the Print Manager found in Windows 3.1. The Print Manager serves not only to control the spooling queue, but to allow sharing of printing facilities. A typical Windows for Workgroups Print Manager screen is shown in Figure 66.3. With the Print Manger, you may designate printers as sharable to other users on the network, and select the printer that you wish to use for your printing. In a typical situation, this might mean that an expensive high-resolution laser printer could be shared between a number of users. A user might also have a slower and less expensive local Inkjet printer that is not shared. Other than being able to designate sharing, the Print Manger in Windows for Workgroups is essentially the same in functionality as the Print Manger in Windows 3.1.
ggplot2
Published in Rafael A. Irizarry, Introduction to Data Science, 2019
2. Remember that to print an object you can use the command print or simply type the object. Print the object p defined in exercise one and describe what you see. Nothing happens.A blank slate plot.A scatterplot.A histogram.
Lan Softwarepotpourri
Published in Paul J. Fortier, Handbook of Local Area Network Software, 1991
Corvus sells a product called Omninet PC/NOS. As in many of the other cases, PC/NOS operates within a DOS environment and provides very basic network operating system services. It provides for print spooling to a print server, disk control, and file management from a data server, and simple message-passing capabilities. From the management side, it has mechanisms built in to allow users to examine the status of queues and other elements the network. Security is maintained by use of a password and logical name scheme as well as through authorization lists that provide control of access to network resources.
Predicting the compressive strength of cellulose nanofibers reinforced concrete using regression machine learning models
Published in Cogent Engineering, 2023
Aftab Anwar, Yang Wenyi, Li Jing, Wang Yanwei, Bo Sun, Muhammad Ameen, Ismail Shah, Li Chunsheng, Zia Ul Mustafa, Yaseen Muhammad
The exploratory data analysis (r) between the independent variables (x): cement, water, CNFs, superplasticizers, fine aggregates, coarse aggregates, and age and the dependent variable (Y) compressive strength fc was conducted to assess the interdependence of variables. The obtained value of r showed the correlation ratio between the variables, the higher the value the stronger will be the correlation. In this research each variable would be investigated by the coding in Jupyter Notebook. While computing correlation coefficient value, the peculiar command was given into the model to analyze the correlation heatmap, Equation 8,9 specifies the command run in the Jupyter Notebook Python software to print heatmap while Figure 4 shows the heatmap graph of r. The correlation coefficient can also be calculated through Equation 10.
Development of automated feature extraction and convolutional neural network optimization for real-time warping monitoring in 3D printing
Published in International Journal of Computer Integrated Manufacturing, 2022
Jiarui Xie, Aditya Saluja, Amirmohammad Rahimizadeh, Kazem Fayazbakhsh
This way, the system can detect the corner coordinate of multiple geometries such as rectangular, rounded, and triangular corners. Additionally, the position of the build platform must be acquired to find the real-time location of the corner when an image is captured. G-code command can also provide the real-time position of the build platform, ybed. Once a layer change is detected, the plugins insert a pause command (G4) to pause the print before the layer change. While the printer is paused, the location of the build platform ybed is retrieved from the G-codes and used to compute the real-time coordinate of the corner. The input to the correlation (Section 2.3.1) can be obtained as:
The Los Alamos Computing Facility During the Manhattan Project
Published in Nuclear Technology, 2021
Figure 11 shows a typical 80-column punch card. The card is read by electrical brushes that contact through the holes punched into the card. Interpretation of punch cards is positional, in this case the card is from the 1970s with a FORTRAN “print” command in columns 1 through 11, and columns 15 and 16 have the argument to print to unit “40.” Cards were manually typed on the type-031 keypunch, then retyped on a verifier to catch typing errors. Usually, cards generated by the PCAMs did not have the human readable label printed across the top of the card, as shown in Fig. 11. If this was needed, a card could be feed through the interpreter, which would read the card and print the label. As a practical matter, Los Alamos needed the verifier and interpreter listed in Table I.