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Technological Development
Published in Edward Y. Uechi, Business Automation and Its Effect on the Labor Force, 2023
A more advanced computer configuration can eliminate the need for a person to enter data. Another computer sends letters, numbers, and other characters in one long uninterrupted stream. The two computers are connected, which may be in the same office building or in different countries, to send and receive the data without human involvement. The internal parts in the first computer push out the data to the second computer, where the internal parts of the second computer process the incoming data. The second computer may save the processed data in its storage device. The second computer may also output the result in another long uninterrupted stream back to the first computer, where the internal parts of the first computer will process the new data. This configuration of two computers creates a simple form of automation in which data are processed in the computers without involvement of a person.
Pseudo Damage Training for Seismic Fracture Detection Machine
Published in Jian Zhang, Zhishen Wu, Mohammad Noori, Yong Li, Experimental Vibration Analysis for Civil Structures, 2020
Searching for hyperparameters is an iterative process constrained by computer configuration and time cost. Engineer wants the best model for the task given the available resources, so the procedure of training is essentially the trade-off among different hyperparameters and time cost. In this research, the grid search method, which is simply an exhaustive searching through a manually specified subset of the hyperparameter space, is used for hyperparameter optimization. There are three other hyperparameters that need to be tuned for good performance on unseen data: the learning rate, batch size, and epoch. Grid search selects a finite set of “reasonable” values for each hyperparameter: {Learningrate(1r)∈{1e−3,1e−4,1e−5}Batchsize(bs)∈{8,16,32}Epoch(ep)∈{10,20,30}
Modems and Interfaces
Published in Paul W. Ross, The Handbook of Software for Engineers and Scientists, 2018
The most obvious choice in selecting a modem is the choice of internal or external location. This choice normally has little impact on performance (an exception is noted below), but it is important in assembling a computer configuration. Internal modems make for a more compact configuration, present fewer difficulties if the equipment must be moved, and normally have direct access to the computer’s internal bus, which means there is no impediment to their performance; also they are generally less expensive as they can draw power from the computer’s internal power supply. External modems have the advantage of flexibility: they connect to the computer externally (usually through a serial port), thus either computer or modem may be upgraded independently. However, external modems, just as internal ones, require communications software (see Chapter 63), configured with commands recognized by the modem. (In this regard the Hayes command set has become a defacto standard that is generally available in communications software.) If performance is an issue, it is advisable to check the data rate on the interface between external modem and computer.
Experimental and numerical study on smoke evolution in polyethylene (PE) slabs enclosed compartment fire
Published in Combustion Science and Technology, 2020
Di Wang, Long Shi, Chunjie Zhai, Junhui Gong, Jing Li, Xuanya Liu
When the grid size ranges from 1/4 to 1/16 of D*, the simulation accuracy is acceptable. The sensitivity evaluation of grid is carried out utilizing uniform grid of 0.12, 0.1, and 0.08 m, respectively. When 0.12/0.54 = 0.222, 0.1/0.54 = 0.186 and 0.08/0.54 = 0.148, all of these values fall into the range from 1/4 to 1/16. The corresponding simulated temperatures at 2.4 m of the center thermocouple tree were compared with the experimental data, as shown in Figure 3. The curves of 0.1 and 0.08 m grids have high similarity. Based on the consideration of computer configuration and simulation time, 0.1 m grid is selected for simulation with the cells number of 70200.
Predictive control of microwave hot-air coupled drying model based on GWO-BP neural network
Published in Drying Technology, 2023
Haoran Bai, Ziyi Chu, Dongwei Wang, Yan Bao, Liyang Qin, Yuhui Zheng, Fengmei Li
In order to verify the control effect, MATLAB was used to simulate it. The computer configuration was shown in Table 1. We compared the effects of model predictive control optimized by the projection conjugate gradient method and optimized by the KKT (Karush Kuhn Tucker) conditions. The change of the objective function value was shown in Figure 13. By comparing the curve changes of the two methods, it can be found that the speed of obtaining the optimal solution by using the projection conjugate gradient method for nonlinear optimization was faster and better.
A multi-objective optimisation method of rail combination profile in high-speed turnout switch panel
Published in Vehicle System Dynamics, 2023
Jiasheng Fang, Rong Chen, Jiayin Chen, Jingmang Xu, Ping Wang
According to the design variables, objective functions, and constraints, the multi-objective optimisation mathematical model for optimal turnout profile can be obtained. In this study, the actual turnout profile measured at Linfen west railway station is considered the initial sample, and the NSGA-II algorithm [25] is used to solve the problem through the co-simulation based on SIMPACK and MATLAB. The computer configuration and evolutionary algorithm related parameters are shown in Table 2.