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Cathodic Protection Remote Monitoring via LoRaWAN Technology of Water Pipelines

Cathodic Protection Remote Monitoring via LoRaWAN Technology...

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Electrical, computer, Communications and Mechatronics Engineering (ICECCME), international conference on

作者： Mongkol Wongkhan Jeerapa Thitasino Pummate Chaitragul Department of Water Transmission and Distribution Control Metropolitan Waterworks Authority (MWA) Bangkok Thailand

Cathodic Protection (CP) is widely applied for protecting against corrosion of the pipeline. To ensure the pipeline is protected from corrosion, an operator needs to inspect and maintain the CP system regularly by following the NACE standard. Metropolitan Waterworks Authority (MWA) is responsible for waterworks in large areas and possesses a long metal pipeline, which is about 1,562 kilometers long. The number of the test stations for inspection of the CP system is about 5,912 stations. Normally, the operators inspect the CP level manually in the fields, consuming more time and cost of operations. Additionally, the on-site work can be dangerous for the staff. The aim of this paper is to remotely monitor the CP values by applying the LoRaWAN protocol. LoRaWAN is the key IoT technology in the wide area network applications such as smart cities, smart farms, surveillance, landslides, water quality, and so on. The advantages of LoRaWAN technology are low power consumption, long-range transmission, and low cost. In this paper, a LoRa-based sensor node was designed to measure the CP values. The results showed that the sensor node has an error of less than 1% compared with a digital multimeter. Besides, the sensor nodes were deployed in the fields to experiment on not only the CP values but also the signal quality of the LoRa modulation. As a result, the gateway can receive packages in the coverage area of 1.15 km.

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Reaction Wheel control of an 3D Printed Inverted Pendulum 23

Reaction Wheel Control of an 3D Printed Inverted Pendulum

引用

23rd international conference on control Systems and computer Science Technologies, CSCS 2021

作者： Cioaca, Radu-Andrei Flutur, Cristian University Politehnica of Bucharest Department of Automatic Control and Computers Bucharest Romania

ISBN: (纸本)9781665439398

Reaction wheels assemblies have been used as actuation methods for spacecrafts since the begining of space exploration, offering good precision for optical pointing applications. Developing efficient attitude control systems involving reaction wheels is a challanging topic as the dynamical structures of the spacecrafts are very diverse and the presence of distrubances cannot be ignored in the harsh environment of space. Our paper presents a proof-of-concept device inspired from the Inverted Pendulum problem, actuated by a Reaction Wheel to act as a platform for studying control systems using this kind of actuators. The dynamics of the pendulum are determined and an LQR controller is computed to stabilize the pendulum in the upright position. A MATLAB simulator is later used to test the control law and to analyse the performances of the controller for a test case of a real device that is manufactured using PLA 3D Printing. © 2021 IEEE.

关键词： 3D printers

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A novel smart substation secondary circuit simulation training system

A novel smart substation secondary circuit simulation traini...

引用

Power Electronics, computer Applications (ICPECA), IEEE international conference on

作者： Xiaotao Sun Wenhui Zheng Guang Huo Yunzhen Lian State Grid Tianshui Power Supply Company Tianshui City China Beijing Kedong Power Control System Co. Ltd. Beijing China

Compared with traditional substations, the secondary circuit of smart substations is quite different in terms of transmission channel and protection function realization, which puts forward higher requirements for the knowledge level and business capabilities of smart substation operation and maintenance personnel. It is necessary to develop a set of teaching tools suitable for the training of secondary circuits in smart substations. This paper proposes a set of smart substation simulation secondary circuit simulation training system. The system builds the dynamic drawing model of the secondary schematic diagram, secondary wiring diagram, and secondary expansion diagram of the smart substation through visual modeling tools; with the help of the drawing monitoring module, the system can monitor the status of drawing elements in real time, dynamically calculate the input and output of drawings, and record the action sequence of elements; the system can build training cases based on typical protection action events and alarm events of smart substations. Thus, the system can be used to carry out drawing recognition training and defect tracking training for the secondary circuit of smart substations. This system enriches the content of the simulation training of smart substation secondary circuit, and has achieved good results in practical applications.

关键词： Training Wiring Visualization Substations Circuit simulation Topology Systems support

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Design and Prototyping of an Robotic Exoskeleton for Rehabilitation After Total Knee Arthroplasty

Design and Prototyping of an Robotic Exoskeleton for Rehabil...

引用

Automation, Robotics and computer Engineering (ICARCE), international conference on

作者： Raed Abdulameer Mahmood Alalwani Ali Selk Ghafari School of Science and Enginnering Sharif University of Technology International Campus Kish Island Hormozghan Iran Alfurat Al-awsat Technical University Alkufa Iraq

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

The most increasing trend is to utilize total knee arthroplasty (TKA) as a surgical solution to relief the effects of severe arthritis. Researchers have become interested in replacing an efficient robotic assisted method in place of traditional physiotherapy post-TKA. The effectiveness of these devices in reducing recovery time, improving mobility, and decreasing the risk of future injuries is entirely reliant on the design and functionality of the proposed robotic system. The main objective of this study is to propose a streamlined and organized process to design and construct an exoskeletal robotic system for post-TKA, drawing on biomechanical investigations. In the design of a system for safe human-robot interaction during rehabilitation, it is crucial to prioritize compatibility and reliability as important parameters. This research proposes a framework that combines physiotherapy protocol with biomechanical analysis of human motion to address these issues. An experimental investigation was conducted on the built prototype to assess the performance of the suggested design framework.

关键词： Legged locomotion Biomechanics Protocols Pain Prototypes Reliability engineering Knee replacement Motion control Robots Read only memory

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Computational Methods for Analysing Biometric Systems

Computational Methods for Analysing Biometric Systems

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Technological Advancements in Computational Sciences (ICTACS), international conference on

作者： Fahim Multani Sheela Bijlwan Viyat Varun Upadhyay Bhawna Goyal Ayush Dogra Dawa Chyophel Lepcha Department of Computer Science Engineering IES College of Technology Bhopal Madhya Pradesh Uttaranchal School of Computing Sciences Uttaranchal Institute of Technology Uttaranchal University Dehradun India Department of Mechanical Engineering GLA University Mathura Mathura University Center for Research and Development Chandigarh University Mohali Punjab India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department Electronics and Communication Engineering Chandigarh University Mohali Punjab India

The use of biometric data, such as various anatomical and behavioural attributes in automatic identification and authentication systems for access control, surveillance, computer security, and law enforcement are increasing. Several nations are already or will soon begin to use biometric technology. In this paper, there is a in detail analysis of innovative biometric systems and also the research study of how the computational techniques used intelligent data system in order to analyse biometric system, The efficacy of biometric technologies will depend on how well they work. Biometric system evaluation examines how well biometric systems adapt to particular characteristics. Planning and carrying out biometric tests are frequently handled by an impartial third party. A measure of confidence in the validity of the claim might be one of the options the algorithm offers. Applications that validate a user's address or confirm their identity at the point of sale are examples of verification applications.

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Test and verification of electric field characteristics in seawater based on ship scaled model

Test and verification of electric field characteristics in s...

引用

Power Electronics, computer Applications (ICPECA), IEEE international conference on

作者： Yingchun Huan Zhendong Liu Min Shi Zhihao Jiang Chao Xu Shaomeng Li China Transport Telecommunications & Information Center (CTTIC) The PLA Unit 91977 Beijing China Dalian Institute of Measurement and Control Technology Dalian China The PLA Unit 91977 Beijing China

The test and verification of the electric field characteristics of the scaled model is to make a certain scale model by scaling the size and electrical parameters of the ship through the electric field similarity criterion, and the electric field characteristics of the scaled model are measured under controllable conditions through experiments, and the test results are compared with the simulation results to verify the effectiveness of the test. At present, the characteristics test and analysis of scalar potential or single vector electric field in water based on the scaled model have been carried out in China, but the research on using vector array to obtain three-component electric field data is still in preliminary development, and it is difficult to obtain its spatial characteristics at the same time, resulting in unscientific test methods and incomplete characteristic parameters. In this paper, the model is fixed on the vehicle, multiple sensors are fixed and arranged according to a certain distance to form a measurement array, and the scaled model moves in the direction of the vertical measurement array to obtain the electric field value of the model in a certain plane range at the measurement depth through the sensor array in the water, which can obtain more comprehensive and systematic spatial distribution characteristics than other test methods.

关键词： Water Systematics Computational modeling Electric variables measurement Sensor phenomena and characterization Sensor systems Electric fields

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Research on Imaging Detection of Defects in X-ray Oil and Gas Casings Based on MIT-MTT Combined Instrument

Research on Imaging Detection of Defects in X-ray Oil and Ga...

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Automation, Robotics and computer Engineering (ICARCE), international conference on

作者： Xifeng Yi Yang Zhang Huaigu Tian Juanli Zhang Feng Zhang Yubao Li Sinopec Shengli Oilfield Company Petroleum Engineering Technology Research Institute Dongying PR China Xi'an Key Laboratory of Human-Machine Integration and Control Technology for Intelligent Rehabilitation Xijing University Xi'an PR China Shaanxi Huachen Petroleum Technology Co. Ltd Xi'an PR China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

The paper aims to study the X-ray oil and gas casing defect imaging detection based on the MIT-MTT combination logging instrument. By reviewing and analyzing relevant domestic and international literature, the paper summarizes the principles, advantages, disadvantages, and applications of existing algorithms. The research, based on experimental data from the MIT -MTT combination logging instrument, indicates that X-ray-based defect detection algorithms, combined with the imaging of the MIT -MTT combination logging instrument, play a significant role in improving the accuracy, efficiency, and automation of oil well casing inspection. With the continuous development of deep learning and defect detection technologies, the field is expected to achieve more breakthroughs in the future.

关键词： Deep learning Automation Instruments Oils Image processing Imaging Inspection X-ray imaging Robots Defect detection

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A Multi-Objective Decision Assistance System for Selecting Security controls Based On Simulation

A Multi-Objective Decision Assistance System for Selecting S...

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Advance Computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Ritu Shree Komal Sandhu Department of Computer Science Engineering Vivekananda Global University Jaipur India Department of Master of Computer Application Chandigarh School of Business Jhanjeri

In this work, we present the results of our continuing investigations into simulation-based risk analysis for information security and multi-objective investment optimization for security controls. We provide a methodological approach that takes into account the organization's features, information architecture, assets that must be safeguarded, unique threat sources encountered, and decision-makers' risk preferences. This framework includes dynamic attack graph generation techniques, ontological modelling of security knowledge, probabilistic reenactment of assaults by objective driven danger specialists, Identification of compelling arrangement of data security controls utilizing meta-heuristics, and intuitive choice help. These components make it possible for cutting-edge techniques to generate attack graphs and infer potential attack routes based on the motivations, goals, skills, and available entry points of attackers, Then, using this inferred information, simulate assaults based on the infrastructure a model of an organisation. The strategy aids decision-makers weigh financial and non-financial factors related to risks, costs, and benefits when assessing possible security control initiatives. In order to assess the strategy through application case studies, we are now constructing a prototype implementation of the framework.

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Segregation of Areca Nuts Using Three Band Photometry and Deep Neural Network 3rd

Segregation of Areca Nuts Using Three Band Photometry and ...

引用

3rd international conference on Soft Computing and its Engineering Applications, icSoftComp 2021

作者： Dosi, Saurav Vamsi, Bala Raut, Samarth S. Narasimha, D. Indian Institute of Technology Dharwad Karnataka Dharwad India

ISBN: (纸本)9783031057663

In the Malnadu region of Karnataka state in India, often tender Areca nuts of five to eight months old are harvested together, manually separated according to ripeness based on their colour, dehusked, sliced and boiled before marketing. This is a tedious process involving skilled labour and due to the remnant pesticides on the arecanut surface, the health of the worker is adversely affected. Hence to aid the farmers, a technique is developed to carry the task of segregation based on Three Band Photometry and Machine Learning. Light green to fully ripe orange Areca nuts from two different regions were used for Training as well as Testing, using state-of-the-art YOLOv3 Object Detection Deep Neural Network model. They were studied at various stages after plucking between fresh from harvest to one week old. The method developed was found to be effective for both samples at any of these stages. © 2022, Springer Nature Switzerland AG.

关键词： computer vision

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Federated Learning for Protecting Privacy in Big Data Networks 3

Federated Learning for Protecting Privacy in Big Data Networ...

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3rd IEEE international conference on Automation and Computation, AUTOCOM 2025

作者： Pattanayak, Binod Kumar Samrat, Bhavuk Thomas, Shaji Sudha, F. V. Jaya Choudhary, Deeksha Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331542375

Due to the big data era, the use of cloud computing and Internet of Things devices has increased tremendously, which has resulted in the mass collection of personal data. This caused major privacy protection and safety issues, as sensitive personal data could be exploited and misused. Data encryption and similar techniques have largely needed to be improved as a privacy-protecting solution. A new approach to overcome the privacy and security issues in big data networks is federated learning. Federated Learning is a distributed approach to learning in which machine learning models are trained locally on each device (e.g., phone), and the raw data never leaves the local devices to reach a central server. With this device, however, only model updates are sent while the private data continues to be stored locally on the devices for privacy protection. FL has several benefits compared to normal privacy protection methods, such as reducing the risks of data breaches and minimizing computational and communication costs. In addition, FL allows better data management and greater control over personal data as users are involved in training. FL can be an important building block for privacy and security in large data networks, and it has been adopted by most of the major technology companies as part of their applications. They still have to solve problems like efficient convergence of the model, heterogeneous data and so on. FL is still being prepared for practical use in big data networks and needs more research based on its development to protect privacy. © 2025 IEEE.

关键词： Federated learning

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