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Journal Articles

A Web-based Collaborative Method for SysML Modeling

Tao Xing, Chenchu Zhou, Xing Shen, Dawei Wu, Qian Li, Yusheng Liu

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1003

DOI: https://doi.org/10.1115/1.4055240

Published Online: August 17, 2022

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Topics: Modeling, Systems engineering, Collaboration, Design, Maintenance, Engineering disciplines, Engineering prototypes, Reliability, Security

Journal Articles

Making-A-Scene: A Preliminary Case Study on Speech-based 3D Shape Exploration through Scene Modeling

Shantanu Vyas, Ting-Ju Chen, Ronak Mohanty, Vinayak Krishnamurthy

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-21-1405

DOI: https://doi.org/10.1115/1.4055239

Published Online: August 17, 2022

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Topics: Modeling, Shapes, Design, Workflow, Artificial intelligence, Computer-aided design, Semantics, User interfaces

Journal Articles

Combining Uneliminated Algebraic Formulations With Sparse Linear Solvers to Increase the Speed and Accuracy of Homotopy Path Tracking for Kinematic Synthesis

Jeffrey Glabe, Mark Plecnik

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1042

DOI: https://doi.org/10.1115/1.4055241

Published Online: August 17, 2022

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Topics: Algebra, Kinematics, Dimensions, Linear systems, Computation, Computational geometry, Optimization, Polynomials

Journal Articles

A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction

Jiayin Shao, Shilong Wang, Bo Yang, Zhengping Zhang, Yankai Wang

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031003.

Paper No: JCISE-21-1385

DOI: https://doi.org/10.1115/1.4054832

Published Online: August 8, 2022

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Topics: Algorithms, Optimization algorithms, Welding, Artificial neural networks, Errors

Journal Articles

Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory

Akram Mubarak, Mebrahitom Asmelash, Azmir Azhari, Ftwi Yohannes Haggos, Freselam Mulubrhan

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031002.

Paper No: JCISE-22-1058

DOI: https://doi.org/10.1115/1.4054690

Published Online: August 8, 2022

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Topics: Artificial neural networks, Bearings, Condition monitoring, Fault diagnosis, Hydraulic accumulators, Machinery, Signals, Time series, Vibration, Design

Image

Generalized regression neural network structure diagram

Generalized regression neural network structure diagram

in A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 1 Generalized regression neural network structure diagram More

Image

The combination of GOA and GRNN

The combination of GOA and GRNN

in A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 2 The combination of GOA and GRNN More

Image

The flowchart of the IGOA-GRNN

The flowchart of the IGOA-GRNN

in A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 3 The flowchart of the IGOA-GRNN More

Image

The automotive company

The automotive company

in A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 4 The automotive company More

Image

MAE distribution map

MAE distribution map

in A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 5 MAE distribution map More

Image

Illustration of DPHM system

Illustration of DPHM system

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 1 Illustration of DPHM system More

Image

Illustration Vanilla-RNN and LSTM model

Illustration Vanilla-RNN and LSTM model

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 2 Illustration Vanilla-RNN and LSTM model More

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Illustration of the proposed DPHM framework

Illustration of the proposed DPHM framework

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 3 Illustration of the proposed DPHM framework More

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The illustrated test rig [ 57 ]

The illustrated test rig [ 57 ]

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 4 The illustrated test rig [ 57 ] More

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The effect of MaF on extracted features

The effect of MaF on extracted features

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 5 The effect of MaF on extracted features More

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The correlation of LSTM outputs when MaF

The correlation of LSTM outputs when MaF

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 6 The correlation of LSTM outputs when MaF More

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Illustrate the features before and after smoothed using MaF

Illustrate the features before and after smoothed using MaF

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 7 Illustrate the features before and after smoothed using MaF More

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Learned representation by the proposed MaF-LSTM model using test set

Learned representation by the proposed MaF-LSTM model using test set

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 8 Learned representation by the proposed MaF-LSTM model using test set More

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MaF-LSTM accuracy with 70% ( a ) training, ( b ) test, and 30% ( c ) traini...

MaF-LSTM accuracy with 70% ( a ) training, ( b ) test, and 30% ( c ) traini...

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 9 MaF-LSTM accuracy with 70% ( a ) training, ( b ) test, and 30% ( c ) training ( d ) test More

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Performance of ANN, SVM, and MaF-LASTM under different feature sets

Performance of ANN, SVM, and MaF-LASTM under different feature sets

in Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory > Journal of Computing and Information Science in Engineering

Published Online: August 8, 2022

Fig. 10 Performance of ANN, SVM, and MaF-LASTM under different feature sets More

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