NSTL国家科技图书文献中心

1. Automated Sentiment Analysis for Instant Feedback on YouTube videos through comments NSTL国家科技图书文献中心

P. Dhanalakshmi | Balli Ashbel Raj ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：YouTube is a popular platform for | entertainment, learning, and leisure. With so many content | creators on YouTube, the quality of content varies, and | creators often get mixed feedback. To know the audience's | feedback, the content creator needs to go through

关键词： Deep learning | Analytical models | Sentiment analysis | Video on demand | Instruments | Process control | Entertainment industry | Control systems | Web sites | Videos

2. Design and Optimisation of a Telescopic Operational Amplifier NSTL国家科技图书文献中心

J S Siddhanth | Sujata Kotabagi ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：This paper presents the design and simulation | of a telescopic operational amplifier (op-amp | ) using UMC 180 nm technology for a supply voltage of | 1.8 V. A key focus of the design was to achieve a | high gain and a wide input common-mode input range

关键词： Operational amplifiers | Instruments | Voltage | Signal processing | Control systems | Topology | Circuit synthesis | Transient analysis | Gain | Optimization

3. IoT and Machine Learning based Valve Stiction Estimation in Process Industry NSTL国家科技图书文献中心

Vimal Kumar V | Ragesh G. K ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：Stiction in control valves represents an | undesirable nonlinear phenomenon. Product quality and | process safety frequently suffer due to the occurrence | of valve stiction within process control systems | utilizing control valves as their final control elements

关键词： Training | Maximum likelihood estimation | Neural networks | Process control | Machine learning | Valves | Control systems | Safety | Internet of Things | Preventive maintenance

4. Enhancing Accuracy Through Data Augmentation using Variational Autoencoders in Machine Learning Techniques NSTL国家科技图书文献中心

Vaibhav Dubey | Bhavneet Kaur ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：This paper investigates the impact of data | augmentation on the performance of a simple Deep Neural | Network (DNN) architecture, comprising a sequence of | fully connected layers interspersed with non-linear | activation functions and regularization techniques. The

关键词： Training | Accuracy | Instruments | Training data | Machine learning | Data augmentation | Control systems | Data models | Robustness

5. Prediction Of Pulmonary Fibrosis Disease NSTL国家科技图书文献中心

Disha Jain | Palak Khurana ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：The progressive and potentially fatal lung | illness pulmonary fibrosis (PF) is represented by | permanent scarring in a lung tissue. A successful | treatment of pulmonary function decline requires early | diagnosis and close observation. For people with Pulmonary

关键词： Training | Deep learning | Analytical models | Computed tomography | Computational modeling | Atmospheric modeling | Lung | Predictive models | Metadata | Long short term memory

6. Fault Detection and Machine Health Monitoring in Cylinder Block Production Lines through Ignition in Industry 4.0 NSTL国家科技图书文献中心

Ankita Banerjee | Ravi Bhushan ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：This research presents a comprehensive health | monitoring system designed for servo-drives in Honing | Machines within manufacturing environments. The system | focuses on real-time monitoring of temperature, current | , and feedback sensors to detect faults like overload

关键词： Temperature measurement | Temperature sensors | Temperature distribution | Fault detection | Production | Sensor systems | Real-time systems | Temperature control | Monitoring | Standards

7. Implementation of Plant Model of an Air Vented Dryer system using Data Driven Approach in MATLAB/Simulink NSTL国家科技图书文献中心

Dhanashree Y. Gonde | Archana G. Thosar ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：Now a days, physics-based models are | extensively employed across diverse domains to accurately | replicate the real-world physics of systems. These systems | use mathematical equations and rules derived from | physics laws. However, the deployment of physics-based

关键词： Ventilators | Atmospheric modeling | Computational modeling | Artificial neural networks | Predictive models | Data models | Mathematical models | Physics | Matlab | Load modeling

8. Investigation of Dynamic Eccentricity in Switched Reluctance Motors: A Fusion of Finite Element Analysis and Machine Learning NSTL国家科技图书文献中心

Archana P | Praveen Kumar N - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：Switched reluctance motors (SRM) are widely | considered for their reliability and fault-tolerant | capability. Dynamic eccentricity fault is one of the major | mechanical faults that occur in an SRM which induces | electrical imbalances leading to increased losses and

关键词： Atmospheric modeling | Air gaps | Windings | Stator windings | Machine learning | Motors | Mathematical models | Finite element analysis | Reluctance motors | Matlab

9. Energy Trading Interface for Grid-Tied Wind-Solar Power Generation System NSTL国家科技图书文献中心

Nikhil Nitin Patil | Yeetendra Dubey ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：Surging clean energy demand clashes with grid | stability concerns, calling for creative solutions. This | work explores the synergy between peer-to-peer (P2P | ) energy trading and grid-connected wind-solar systems | . It is apparent that, in the contemporary grid

关键词： Green energy | Instruments | Energy exchange | Power system stability | Control systems | Stability analysis | Peer-to-peer computing | MATLAB | Power generation

10. Battery State of Health Prediction using Hybrid PSO-LSTM Algorithm NSTL国家科技图书文献中心

Ambati Lokeswara Red... | Shakila Baskaran ... - 《2024 Control Instrumentation System Conference》 - Control Instrumentation System Conference - 2024, - 1～6 - 共6页

摘要：State of Health for a Lithium-ion battery | refers to the overall condition and performance | capability of a battery when is compared to its initial | capability. It is one of the key parameters used to assess | the reliability and useful life left out for a

关键词： Accuracy | Estimation | Battery management systems | Machine learning | Predictive models | Prediction algorithms | Batteries | Reliability | Particle swarm optimization | Long short term memory

摘要：YouTube is a popular platform for | entertainment, learning, and leisure. With so many content | creators on YouTube, the quality of content varies, and | creators often get mixed feedback. To know the audience's | feedback, the content creator needs to go through

关键词： Deep learning | Analytical models | Sentiment analysis | Video on demand | Instruments | Process control | Entertainment industry | Control systems | Web sites | Videos

摘要：This paper presents the design and simulation | of a telescopic operational amplifier (op-amp | ) using UMC 180 nm technology for a supply voltage of | 1.8 V. A key focus of the design was to achieve a | high gain and a wide input common-mode input range

关键词： Operational amplifiers | Instruments | Voltage | Signal processing | Control systems | Topology | Circuit synthesis | Transient analysis | Gain | Optimization

摘要：Stiction in control valves represents an | undesirable nonlinear phenomenon. Product quality and | process safety frequently suffer due to the occurrence | of valve stiction within process control systems | utilizing control valves as their final control elements

关键词： Training | Maximum likelihood estimation | Neural networks | Process control | Machine learning | Valves | Control systems | Safety | Internet of Things | Preventive maintenance

摘要：This paper investigates the impact of data | augmentation on the performance of a simple Deep Neural | Network (DNN) architecture, comprising a sequence of | fully connected layers interspersed with non-linear | activation functions and regularization techniques. The

关键词： Training | Accuracy | Instruments | Training data | Machine learning | Data augmentation | Control systems | Data models | Robustness

摘要：The progressive and potentially fatal lung | illness pulmonary fibrosis (PF) is represented by | permanent scarring in a lung tissue. A successful | treatment of pulmonary function decline requires early | diagnosis and close observation. For people with Pulmonary

关键词： Training | Deep learning | Analytical models | Computed tomography | Computational modeling | Atmospheric modeling | Lung | Predictive models | Metadata | Long short term memory

摘要：This research presents a comprehensive health | monitoring system designed for servo-drives in Honing | Machines within manufacturing environments. The system | focuses on real-time monitoring of temperature, current | , and feedback sensors to detect faults like overload

关键词： Temperature measurement | Temperature sensors | Temperature distribution | Fault detection | Production | Sensor systems | Real-time systems | Temperature control | Monitoring | Standards

摘要：Now a days, physics-based models are | extensively employed across diverse domains to accurately | replicate the real-world physics of systems. These systems | use mathematical equations and rules derived from | physics laws. However, the deployment of physics-based

关键词： Ventilators | Atmospheric modeling | Computational modeling | Artificial neural networks | Predictive models | Data models | Mathematical models | Physics | Matlab | Load modeling

摘要：Switched reluctance motors (SRM) are widely | considered for their reliability and fault-tolerant | capability. Dynamic eccentricity fault is one of the major | mechanical faults that occur in an SRM which induces | electrical imbalances leading to increased losses and

关键词： Atmospheric modeling | Air gaps | Windings | Stator windings | Machine learning | Motors | Mathematical models | Finite element analysis | Reluctance motors | Matlab

摘要：Surging clean energy demand clashes with grid | stability concerns, calling for creative solutions. This | work explores the synergy between peer-to-peer (P2P | ) energy trading and grid-connected wind-solar systems | . It is apparent that, in the contemporary grid

关键词： Green energy | Instruments | Energy exchange | Power system stability | Control systems | Stability analysis | Peer-to-peer computing | MATLAB | Power generation

摘要：State of Health for a Lithium-ion battery | refers to the overall condition and performance | capability of a battery when is compared to its initial | capability. It is one of the key parameters used to assess | the reliability and useful life left out for a

关键词： Accuracy | Estimation | Battery management systems | Machine learning | Predictive models | Prediction algorithms | Batteries | Reliability | Particle swarm optimization | Long short term memory

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