Titlebook: Intelligent Systems and Networks; Selected Articles fr Duc-Tan Tran,Gwanggil Jeon,Thu-Do Xuan Conference proceedings 2021 The Editor(s) (if

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Design of Air Bubble Detection System Used in Pleural Drainage Suction Systems,hange of sound. The system has been developed on a platform using condenser microphones to detect pressure changes caused by the vibrations of the suction system in the presence of air bubbles. Experimental results on the 3-cylinder drain suction system show that the system is capable of detecting air bubbles with an accuracy level of up to 95%.

殖民地

An Improved Structural Design for Elastic Beam of Six-Axis Force/Torque Sensor Based on Strain Gaugic performances of the developed structure are compared to those of typical cross-beam structures which commonly used in commercial six-axis force/torque sensors. The results show that the proposed elastomer structure provides better sensitivity and natural frequency of the sensor than conventional sensor based on cross-beam.

chondromalacia

MAIZE

Conference proceedings 2021al intelligence language and speech processing; software engineering software development methods; wireless communications signal processing for communications; electronics track IoT and sensor systems embedded systems; etc..

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Conference proceedings 2021 peer-reviewed high-quality articles on intelligent system and networks. It brings together professionals and researchers in the area and presents a platform for exchange of ideas and to foster future collaboration. The topics covered in this book include—foundations of computer science; computation

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Proposal System for Monitoring Parameters in an Industrial Incubator Incorporating SVM Model to Det central server for monitoring and training models to classify sounds will be used to predict healthy. Experimental results show that the proposed model meets real-time requirements with accuracy over 90% and processing time of less than one minute.

冷峻

Feature Selection Using Genetic Algorithm and Bayesian Hyper-parameter Optimization for LSTM in Shor-parameters of LSTM network. The proposed model are utilized to forecast Vietnam electricity load for two days ahead. Test results have confirmed the model has better accuracy in comparison with currently used models.

正式演說

Improving Continuous Hand Gesture Detection and Recognition from Depth Using Convolutional Neural Nd by adjusting another condition for gesture decision making to avoid detection missing due to the detector performance. Our improved algorithm is compared with the original one, showing an improvement in term of overall accuracy (from 73.9% to 79.3%) on the same dataset.

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自由職業(yè)者

,Mathematical Modeling the Network’s Non-linearity for Analyzing and Assessing the Small-Signal Stablectromotive forces, are simulated with the impact of automatic voltage and frequency regulation. The transient voltage stability estimation values are determined to assess the transient structures influenced by the continuous small-disturbance of angular velocities of the generators operating in the multi-machine power system.