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Research on Neural Network Prediction of Optimal Exhaust Pressure of Heat Pump System 5

Research on Neural Network Prediction of Optimal Exhaust Pre...

引用

5th international conference on intelligent Control, Measurement and signal processing, ICMSP 2023

作者： Zhou, Weiqing Li, Zhixin Yang, Dongfang Zhang, Jilong School of Energy and Power Engineering Nanjing Institute of Technology Nanjing China

ISBN: (纸本)9798350336030

The widespread application of heat pump technology presents significant growth opportunities for the heat pump industry. As the demand for high temperature heat pumps in industry rises, compound high temperature heat pumps and transcritical heat pump systems are gaining increasing attention. Due to their critical operating characteristics, heat pump systems currently possess the optimal exhaust pressure in terms of energy efficiency. This paper uses experimental data as the basis for the calculation and fitting of the optimal pressure, and employs an artificial neuron network scheme to analyze the correlation between the influence of the system state parameters and the optimal exhaust pressure, in order to better solve the problem of maintaining the system in a high energy-efficient operating condition under variable operating conditions. The impact of genetic and particle swarm algorithms on the outcomes is also incorporated to the artificial neuron network. The experimental outcomes demonstrate that the particle swarm optimised neural network has superior generalisation properties. © 2023 ieee.

关键词： Heat pump systems

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Inclination-holding Control Method for Rotary Steerable System Based on Fuzzy-PID 6

Inclination-holding Control Method for Rotary Steerable Syst...

引用

6th international conference on intelligent Control, Measurement and signal processing, ICMSP 2024

作者： Zhang, Nan Li, Fei Liu, Ziqi Ren, Baian Chen, Junhao Xi'an Shiyou University College of Petroleum Engineering Xi'an710065 China Xi'an Shiyou University School of Electronic Engineering Xi'an710065 China

ISBN: (纸本)9798331516550

As an urgent equipment for unconventional oil and gas development, Rotary Steerable System (RSS) plays an increasingly important role in oil and gas exploitation and other industrial fields. At the same time, in order to improve the drilling efficiency of tools and reduce the error interference caused by human operation, RSS needs to develop in the direction of downhole closed-loop automatic drilling and intelligence. This work focuses on downhole automatic inclination-holding drilling of RSS. Based on the Rotary Steerable System tool, a drilling tool simulation model is first established. Then, by using the deviation between the current inclination and the target inclination, the toolface angle is controlled, enabling the tool to drill or maintain along the target inclination. The control strategy used is fuzzy PID control method, and the control effect is better than the traditional PID control, which provides a new method for RSS intelligent control. © 2024 ieee.

关键词： Three term control systems

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Audio Visual Cross-modal Matching based on Relational Similarity Learning 8

Audio Visual Cross-modal Matching based on Relational Simila...

引用

8th international conference on intelligent Computing and signal processing, ICSP 2023

作者： Yuan, Fan Wang, Jiaxiang Zhou, Xiaoyi Wu, Youqing Anhui University School of Computer Science and Technology Hefei China Hainan University School of Cybersapce Security Haikou China Hefei Normal University School of Computer Science and Technology Hefei China

ISBN: (纸本)9798350302455

Audio visual cross-modal matching aims to integrate facial and vocal information to improve identity recognition. Current methods focus on learning a shared representation across all modalities, but ignoring the impact of information inequality between different modalities. To fully investigate the intrinsic relationship between audio and visual, we propose a novel relational similarity learning network (RLSNet) for audio visual cross-modal matching by directly learning natural pairwise similarities, instead of explicitly learning a common subspace. In addition, considering the diversity of sample learning difficulty, we incorporate a re-weighting strategy in our metric learning approach to assign greater weight to challenging samples. Extensive experiments on audio visual cross-modal matching demonstrate the effectiveness of the proposed approach compared with the state-of-the-art methods. © 2023 ieee.

关键词： Learning systems

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Digital signal processing on 3-Axis Accelerometer

Digital Signal Processing on 3-Axis Accelerometer

引用

2023 international conference on intelligent systems for Communication, IoT and Security, ICISCoIS 2023

作者： Krishnakumar, Sreehari Vignesh Karthikeyan, R. Manoharan, V.K. Saritakumar, N. PSG College of Technology Department of ECE Coimbatore641658 India PSG Space Centre PSG College of Technology Coimbatore641658 India

ISBN: (纸本)9798350335835

This paper presents a method for processing 3-Axis accelerometer signals using a Cortex M4F microcontroller. The accelerometer is a device that measures acceleration, which is the rate of change of velocity. It is often used in applications such as motion sensing and gesture recognition. The process begins by acquiring the accelerometer signals and transforming them using the Fast Fourier Transform (FFT). The FFT is an algorithm that decomposes a signal into its frequency components, which can be useful for identifying patterns and trends in the data. The transformed signals are then passed through a digital filter, which is a mathematical tool that can be used to remove or enhance specific frequencies from a signal. In this case, the filter is used to eliminate or reduce certain frequencies that are not of interest. The purpose of this process is not specified, but it is likely that the accelerometer and microcontroller are being used to perform tasks such as analyzing device movements or identifying specific gestures made by a user. Overall, this paper provides an insight into the use of a 3-Axis accelerometer and Cortex M4F microcontroller for signal processing, with the application of the FFT and digital filter allowing for the extraction of useful information from the accelerometer signals that can potentially be used in a variety of applications. © 2023 ieee.

关键词： Fast Fourier transforms

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An intelligent System for Agricultural Process Management 9

An Intelligent System for Agricultural Process Management

引用

9th international conference on signal processing and intelligent systems, ICSPIS 2023

作者： Agusta, Yudi Julyantari, Ni Komang Sri Institut Teknologi Dan Bisnis Stikom Bali Informatics and Computer Faculty Denpasar Indonesia

ISBN: (纸本)9798350369922

Management of agricultural processes is an important part in ensuring the quality of agricultural products. Most of the management of agricultural processes is carried out with a manual management system where farmers in general already know the stages of agricultural activities and can always determine when a stage of the agricultural process must be carried out. This causes various obstacles, including several important processes that are often neglected due to the habits adopted by farmers. If the agricultural work is managed by multiple people, the agricultural stages may be carried out in an inaccurate pattern and time. Under these conditions, an intelligent system for agricultural process management needs to be built. The system provides various facilities including an automatic calculation facility for agricultural process time, a reminder system for the stages of the agricultural process as well as materials and supporting tools needed for each agricultural process. This research and development is carried out by reviewing unstructured information on the stages of agricultural processes and converting the information into a structured one. The resulting structured information includes stage names, objectives, risks involved, quality, implementation timeframe, costs, human resources, and other resources. For the purpose of determining the time/date of the implementation of the activity stages, other information such as conditions and the relativity of time to other activity stages are also reviewed. The system prototype has been analyzed and developed and is expected to be implemented and used to support better management of agricultural processes. © 2023 ieee.

关键词： intelligent systems

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Optimization of Natural Language processing Models for Multilingual Legal Document Analysis 3

Optimization of Natural Language Processing Models for Multi...

引用

3rd ieee international conference on intelligent Techniques in Control, Optimization and signal processing, INCOS 2024

作者： Radhika, A. Bhasin, Narinder Kumar Sabareesh, R. Raju, Yallapragada Ravi Satyanarayana, K.N.V. Raj, I Infant Srk Institute of Technology Department of Cse Vijayawada India Amity University Zonal Head Indian Institute of Banking and Finance Delhi India Coimbatore India Madanapalle Institute of Technology & Science Department of Computer Science &technology Andhra Pradesh Madanapalle India S.R.K.R. Engineering College Department of Ece A.P India K.Ramakrishnan College of Engineering Department of Computer Science & Engineering Tamil Nadu Trichy India

ISBN: (纸本)9798350361186

Multilingual legal document analysis poses unique challenges in the field of Natural Language processing (NLP) due to the intricacies of legal language and the diverse linguistic landscape of legal texts across jurisdictions. This paper presents an optimization framework designed to enhance the performance of NLP models specifically tailored for multilingual legal document analysis. The proposed framework incorporates advanced techniques in pre-processing, feature engineering, and model architecture to address the complexities inherent in legal language. Leveraging multilingual embeddings and domain-specific knowledge, the model demonstrates improved accuracy in tasks such as named entity recognition, sentiment analysis, and document categorization across a range of languages. Additionally, the optimization framework emphasizes the importance of domain adaptation, acknowledging the nuances and variations in legal terminology across different legal systems. Through a combination of transfer learning and fine-tuning strategies, the model adapts to specific legal domains, ensuring robust performance in diverse legal contexts. Experimental results on a comprehensive dataset of multilingual legal documents validate the effectiveness of the proposed optimization framework. Comparative analyses with baseline models showcase significant improvements in precision, recall, and overall model performance. The findings underscore the potential of the optimized NLP model for applications in legal information retrieval, contract analysis, and legal knowledge management in a multilingual context. This research contributes to the growing body of knowledge in NLP and legal informatics, offering a valuable resource for researchers, practitioners, and developers working on multilingual legal document analysis. The optimized model presented in this paper has the potential to enhance the efficiency and accuracy of automated systems in handling legal texts across diverse linguistic enviro

关键词： Knowledge management

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Real-time pricing method through market auction based on multi-agent reinforcement learning 8

Real-time pricing method through market auction based on mul...

引用

8th international conference on Power and Renewable Energy, ICPRE 2023

作者： Hong, Peng He, Shuping Fang, Xiaohan Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Hefei230601 China

ISBN: (纸本)9798350328813

With the development of distributed energy systems, pricing different energy sources in microgrids has become a significant challenge. To solve this problem, this paper proposes an real-time pricing method through market auction based on multi-agent reinforcement learning. The energy supply side provides different energy production and quotations, while consumers on the energy demand side freely quote and purchase the required energy in the energy market based on their own needs. The final transaction price of different energy sources is determined by the quotes of the buyer and seller who have reached the transaction. The simulation results indicate that the proposed pricing method have a good performance. © 2023 ieee.

关键词： Market auction Multi-agent reinforcement learning Real-time pricing

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Kinetic Electronics Based Soft Micro Robot with Surface Mounted Integration Circuit for Multiplex Control

Kinetic Electronics Based Soft Micro Robot with Surface Moun...

引用

2024 ieee international conference on robotics and Biomimetics, ROBIO 2024

作者： Matsunaga, Tatsuki Hayashi, Kenshi Sassa, Fumihiro School of Systems Life Sciences Kyushu University 744 Motooka Nishi-ku Fukuoka819-0395 Japan Kyushu University Faculty of Information Science and Electrical Engineering 744 Motooka Nishi-ku Fukuoka819-0395 Japan

ISBN: (纸本)9781665481090

In this research, an electro thermal bimorph actuator with a shift register mounted in the drive unit was developed to simplify and downsize the control circuit of a soft robot. While conventional soft robots have flexible and adaptable characteristics, they require complex wiring and assembly processes, making large-scale mass production and miniaturization difficult. In this research utilized a kinetic electronics technology to develop a film robot that can control multiple actuators via parallel communication by incorporating signal processing integrated circuit (IC) chips. In the experiment, electro thermal bimorph actuator films were fabricated using polypropylene (OPP) and polyimide (PI) films, and a Texas Instruments surface-mount logic IC chip was attached to the film robot using conductive adhesive. In addition, electronic circuits were patterned by Au sputtering to control the actuators via shift registers. As a result of the experiment, it was confirmed that all actuators operated accurately through the shift register. This demonstrated that parallel signal conversion is possible through parallel communication using shift registers with multi-level connections using a small number of wires. This enables parallel signal conversion through multistage connections while reducing the number of wires connected to an external power supply, thereby simplifying and downsizing the control circuit of the soft robot. The results of this research will contribute to the design of next-generation soft robots, which are expected to realize more complex movements and advanced miniaturization. In the future, along with further expansion of the range of applications, practical use is expected in diverse fields, such as handling biological specimens and assembling micro-components. © 2024 ieee.

关键词： Surface mount technology

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Image processing-Based Methods to Improve the Robustness of Robotic Gripping 22

Image Processing-Based Methods to Improve the Robustness of ...

引用

ieee Joint 22nd international Symposium on Computational Intelligence and Informatics / 8th ieee international conference on Recent Achievements in Mechatronics, Automation, Computer Science and robotics (CINTI-MACRo)

作者： Takacs, Kristof Elek, Renata Nagyne Haidegger, Tamas Obuda Univ Antal Bejczy Ctr Intelligent Robot Budapest Hungary Obuda Univ Doctoral Sch Appl Informat & Appl Math Budapest Hungary Obuda Univ John von Neumann Fac Informat Budapest Hungary Obuda Univ Univ Res & Innovat Ctr EKIK Budapest Hungary Austrian Ctr Med Innovat & Technol Wiener Neustadt Austria

ISBN: (纸本)9798350398823

Image processing techniques are having a huge impact on most fields of robotics and industrial automation. Real-time methods are usually employed in complex automation tasks, assisting with decision making or directly guiding robots and machinery, while post-processing is usually used for retrospective assessment of systems and processes. While artificial intelligence-based image processing algorithms (relying usually on neural networks) are more common nowadays, "classical" image processing methods can also be used effectively for most modern applications. This paper focuses on optical flow-based image processing, proving its efficiency by presenting optical flow-based solutions for modern challenges in different fields of robotics, such as robot-assisted surgery and food processing. The application domain introduced in this paper is based on a smart robotic gripper designed to support automated robot cells in the meat industry. The gripper is capable of slip detection and secure gripping of soft, slippery tissues with the help of the implemented real-time algorithm.

关键词： Image processing Optical flow Slip detection Robotic gripping

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Simplicial Vector Autoregressive Model For Streaming Edge Flows 48

Simplicial Vector Autoregressive Model For Streaming Edge Fl...

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48th ieee international conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Krishnan, Joshin Money, Rohan Beferull-Lozano, Baltasar Isufi, Elvin Simula Metropolitan Center for Digital Engineering Sigipro Department Oslo Norway University of Agder Wisenet Center Department of Ict Grimstad Norway Delft University of Technology Intelligent Systems Department Delft Netherlands

ISBN: (纸本)9781728163277

Vector autoregressive (VAR) model is widely used to model time-varying processes, but it suffers from prohibitive growth of the parameters when the number of time series exceeds a few hundreds. We propose a simplicial VAR model to mitigate the curse of dimensionality of the VAR models when the time series are defined over higher-order network structures such as edges, triangles, etc. The proposed model shares parameters across the simplicial signals by leveraging the simplicial convolutional filter and captures structure-aware spatio-temporal dependencies of the time-varying processes. Targetting the streaming signals from the real-world nonstationary networks, we develop a group-lasso-based online strategy to learn the proposed model. Using traffic and water distribution networks, we demonstrate that the proposed model achieves competitive signal prediction accuracy with a significantly less number of parameters than the VAR models. © 2023 ieee.

关键词： Hodge Laplacians Simplicial convolution simplicial vector autoregressive model

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