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Sound Database of Industrial Machine for Audio Anomaly Detection 12th

Sound Database of Industrial Machine for Audio Anomaly Det...

引用

12th International Conference on Soft Computing for Problem Solving, SocProS 2023

作者： Shaikh, Kader B. T. Jawarkar, Naresh P. Ahmed, Vasif Dept. of Automation and Robotics Engineering VESIT Mumbai India Dept. of Electronics and Telecommunication Engineering BNCoE Pusad India

ISBN: (纸本)9789819732913

Audio anomaly detection (AAD) can seamlessly determine faults in industrial machines and improve the efficiency of predictive maintenance systems. However, the unavailability of audio sound recordings of real industrial machines operating in their actual industrial setup has limited the efficacy of detection systems. Many different audio databases exist having collections of sounds from dummy (or real) systems operating in controlled environments but a collection of audio sounds from actual industrial machines is missing. Therefore, audio sound recordings of an Air compressor machine working in its natural industrial environment are presented. Only real sounds of an actual machine are captured. Synthetic mixing of sounds is avoided. Damaging the machine to create an anomalous state is avoided. Yet fourteen different unhealthy states are identified and their audio recordings are presented. Dataset with varied values of SNRs is also presented. Spectrograms are plotted and spectral shape parameter values of the developed corpus are calculated. The findings demonstrate the divergence in the developed database and its usefulness in building an effective AAD system for a real industrial machine. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Anomaly detection

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Robot Vacuum Cleaner Using SLAM and ROS

Robot Vacuum Cleaner Using SLAM and ROS

引用

2024 International Conference on Knowledge engineering and Communication Systems, ICKECS 2024

作者： Arjun, M. Oliver, Cliff Andrew Joseph, Anju Mary Adi Shanakara Institute of Engineering and Technology Dept. of Robotics and Automation Ernakulam Kalady India

ISBN: (纸本)9798350359688

For the past few years, robot vacuum cleaners have made a huge impact on society. There are different types of robot vacuum cleaners, differentiated based on their method of operation. In this paper, we present a comprehensive framework for enhancing the autonomous capabilities of robot vacuum cleaners by integrating the Robot Operating System (ROS) and Simultaneous Localization and Mapping (SLAM) techniques. Our robot uses laser mapping to map the entire environment and is faster than other robot vacuum cleaners. Our approach not only enhances the performance of robot vacuum cleaners but also provides a foundation for future research and development in the field of domestic service robots. The ROS and SLAM integration framework presented in this paper can be extended to other robotic applications, advancing the state of the art in autonomous navigation and perception for household robotics. © 2024 IEEE.

关键词： SLAM robotics

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Design and Characterization of a Novel, Low-Cost Resistive Stretch Sensor Band for Interactions in HCI Applications 15

Design and Characterization of a Novel, Low-Cost Resistive S...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Sankar, B. Dhuraisamy, Arun Kumar Sindhu, S. Rajath, S. Dept. of Mechanical Engineering Bangalore560012 India PSG College of Technology Dept. of Robotics & Automation Engineering Coimbatore641004 India Dept. of Electronics Engineering Chennai600127 India Dept. of Design and Manufacturing Bangalore560012 India

ISBN: (纸本)9798350370249

In recent years, Human-Computer Interaction (HCI) technology has progressed significantly toward creating immersive experiences. Yet, the physical interaction within these environments often relies on hand controllers or hand tracking systems using gestures that lack the naturalistic feeling of grasping objects and are computationally expensive, respectively. This study introduces the Resistive Stretch Sensor (RSS) Band, a novel approach to bridging this gap by enabling interactions in HCI through the use of conductive rubber. The RSS is designed as a wearable band that conforms to the user's forearm, responding to muscle expansion during a full power grasp and release motion. As the RSS band stretches, its resistance value changes, which can be used as input for interactions within a virtual environment. The research characterises the conductive rubber material to determine the optimal RSS band design. The design process of the RSS band is detailed, considering ergonomic factors and the need for reliable and repeatable sensor output. A calibration method is developed to translate resistance changes into accurate input for HCI systems. The study concludes by examining the RSS's potential applications, such as in human-computer interaction. © 2024 IEEE.

关键词： Conductive Rubber Human-Computer Interaction Resistive Stretch Sensor

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Optimizing Mobile Charger Scheduling in Wireless Rechargeable Sensor Networks Using Min-Heap Algorithm 16

Optimizing Mobile Charger Scheduling in Wireless Rechargeabl...

引用

16th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Kamaruzzaman, Md. Chandra, Abhijit The Neotia University Department of Robotics and Automation Kolkata India Jadavpur University Dept. of Instrumentation and Electronics Engineering Kolkata India

ISBN: (纸本)9798331505264

In Wireless Rechargeable Sensor Networks (WRSNs), efficient energy management is crucial for prolonging network lifetime. Mobile Charging Vehicles (MCVs) play a vital role in replenishing the energy of sensor nodes (SNs);but optimizing their scheduling to minimize energy depletion and maximize network coverage remains a significant challenge till date. This paper proposes a novel scheduling approach based on the Min Heap algorithm to optimize the deployment of MCVs in WRSNs. By prioritizing SNs with the lowest remaining energy, the Min-heap algorithm dynamically adjusts the charging sequence, reducing the risk of node failures and improving overall network performance. To show the effectiveness of the proposed scheme, extensive simulations have been done by using MATLAB. Simulation results demonstrate that the proposed approach significantly improves the performance in terms of working time, total energy received, ratio of successful energy replacement and moving distance as compared to traditional scheduling approaches such as EDF and ETLBO. © 2024 IEEE.

关键词： MATLAB

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A Vision-Based Autonomous AI Tic-Tac-Toe Manipulation System 12

A Vision-Based Autonomous AI Tic-Tac-Toe Manipulation System

引用

12th International Electrical engineering Congress, iEECON 2024

作者： Rakprayoon, Panjawee Ounsiri, Akechai Chongyoa, Ratchanon Bangkok University Faculty Of Engineering Dept. Ai Engineering And Data Science Pathum Thani Thailand Dna Robotics And Automation System Company Limited Pathum Thani Thailand Bangkok University Faculty Of Engineering Dept. Computer And Robotics Engineering Pathum Thani Thailand

ISBN: (纸本)9798350383591

For an AI tic-tac-toe manipulator application, a real-time vision-based approach is proposed. The technique employs the RealSense camera to capture color and dept. images. Combining object detection and image processing techniques to identify X's and O's positions on the game board. However, we recognize that errors can occur during object movement when using only 2D images. To solve this problem, a calibration method between RealSense and the manipulator based on the point-to-plane ICP algorithm is presented. This method provides the 3D object position in the robot coordinate, resulting in increasing the accuracy from 86.25% to 97.25%. Our experiment shows that this technique is highly effective and can accurately identify position objects. © 2024 IEEE.

关键词： Object detection

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On the Enhancement of Energy Efficiency of Wireless Rechargeable Sensor Networks through Mobile Charger Scheduling 2

On the Enhancement of Energy Efficiency of Wireless Recharge...

引用

2nd International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Kamaruzzaman, Md. Chandra, Abhijit Azharuddin, Md. The Neotia University Dept.of Robotics and Automation Kolkata India Jadavpur University Dept. of Instrumentation and Electronics Engineering Kolkata India Aliah University Dept. of Computer Science and Engineering Kolkata India

ISBN: (纸本)9798350382952

In recent years, wireless rechargeable sensor networks (WRSNs) have become more popular because of its diverse array of applications. However, the limited energy resources of individual sensors pose a significant challenge in maintaining network operations over an extended period. To address this challenge, this research paper presents an energy-efficient scheduling scheme based on distance based scheduling for mobile charging vehicle (MCV) in WRSNs. The proposed scheme capitalizes on the MCV, allowing them to dynamically adjust their charging schedules to cater to the energy demands of sensor nodes (SNs). By efficiently allocating charging tasks to MCV, the scheme aims to balance the energy distribution and mitigate the energy imbalance across the network. By conducting comprehensive simulations with various scenarios, the proposed scheme has been compared with some existing schemes in relation to charging path length, total energy received and charging utility. The simulation results manifest significant advantages of the proposed scheme. © 2024 IEEE.

关键词： Energy efficiency

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Comparative Study Between CNN and LSTM Approaches for Sign Language Recognition 6

Comparative Study Between CNN and LSTM Approaches for Sign L...

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6th IEEE Novel Intelligent and Leading Emerging Sciences Conference, NILES 2024

作者： Edward, Phoebe Sameeh, Bola Alexan, Wassim Universities of Canada in Egypt Computer Science Dept. Egypt German International University Robotics and Automation Engineering Germany The German University in Cairo Communications Dept. Egypt

ISBN: (纸本)9798350378511

Image recognition technology has advanced to the point where it can help address challenges such as communication barriers faced by individuals with hearing impairments. Due to the societal rarity of learning and practicing Sign Languages (SLs), Machine Learning (ML) techniques have come to light to ease and automate this process through Sign Language Recognition (SLR) systems. This paper compares two SLR approaches;namely: Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). These two ML approaches are used to accurately identify the English alphabet, numbers, and specific words in American Sign Language (ASL). Results show that both techniques achieve very good accuracy values using test dataset, however in real-time tests CNN has outperformed LSTM. © 2024 IEEE.

关键词： Convolutional neural networks

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Enhanced Streetlight Management: Using IoT and ESP32 for Automated Fault Detection 5

Enhanced Streetlight Management: Using IoT and ESP32 for Aut...

引用

5th IEEE India Council International Subsections Conference, INDISCON 2024

作者： Bhisikar, Swati Jagtap, Prabodh Sonawane, Shilpa Sawant, Hrushikesh Pisal, Prerana Rajarshi Shahu College of Engineering Dept. of Electronics and Telecommunication Pune India Vishwakarma Institute of Information Technology Dept. of Information Technology Pune India Rajarshi Shahu College of Engineering Dept. of Automation and Robotics Pune India

ISBN: (纸本)9798350376753

The core focus of this paper is to implement a cutting-edge system for intelligent streetlight management, leveraging an automotive monitoring system to identify and rectify any faults within the streetlight infrastructure. Rapid response of the proposed fault detection system will help save the time of the linemen, which is wasted in manually detecting the faults at streetlights, and will help to reduce the workload of the linemen. Also, most of the time, the detection of the problem mainly depends on the grievances of the local people. Thus, this causes delays in the maintenance of the streetlights, wastage of power, and problems for the local people. So, to reduce such problems, we have developed an automatic detection system for streetlight faults. During nighttime, this system will detect faults such as whether the lamp is ON or OFF, or if a wire cut is in the circuit. As the fault is detected, the information will be provided to the authorized person;the information will contain the type of fault that occurred in the streetlight system. © 2024 IEEE.

关键词： Fault detection

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Emerging Trends of Digital Manufacturing in Bioimplants

Emerging Trends of Digital Manufacturing in Bioimplants

引用

2023 IEEE Conference on engineering Informatics, EI 2023

作者： Jadhav, Rohit P. Patil, Abhijit A. Thorat, Shrikant.B. D.Y. Patil College of Engineering Akurdi Dept. of Robotics & Automation Engineering Pune India Sanjay Ghodawat University Dept. of Mechanical Engineering Kolhapur India

ISBN: (纸本)9798350338522

Industry 4.0 has seen a significant shift in the manufacturing of metallic biomaterials, which are used to manufacture devices and products for biomedical sector applications, owing to the emergence of digital manufacturing technologies like 3D printing. Compared to conventional fabrication techniques, 3D printing techniques allow the fabrication of metallic materials that are extremely specific and inexpensive. In this context, this paper focuses on the design, manufacturing, and analysis of SS316L powder stents using Selective Laser Melting (SLM). However, the stent design and its manufacturing process viability were examined using Design for Additive Manufacturing (DFAM) tools such as CREO, Materialize Magics, and EOSTATE software. Further, the laser power and scan speed were selected as SLM input parameters, and their results were evaluated in terms of surface roughness parameters, surface topography, and geometrical features. Findings indicated that the obtained values of Ra 0.484 μm, Rq 0.560 μm, Rt 2.789 μm, and Rz 1.98 μm were within an acceptable range. SEM analysis of the resulting surface topography supported these findings. The overall study shows that Industry 4.0 digital techniques, like SLM, are an emerging approach to manufacturing bio-implants. © 2023 IEEE.

关键词： Selective laser melting

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Development of a Wheeled Mobility Device to Facilitate Chair Transfers 10

Development of a Wheeled Mobility Device to Facilitate Chair...

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10th International Multidisciplinary engineering Research Conference on Moratuwa engineering Research, MERCon 2024

作者： De Silva, Dilmie Pieris, Sulaksha Perera, Eranja De Silva, H.H.M.J. Gopura, R.A.R.C. Ranaweera, R.K.P.S. Hordagoda, M. Jayasekera, A.G.B.P. University of Moratuwa Bionics Lab Dept. of Mech. Engineering Moratuwa Sri Lanka University of Moratuwa Robotics and Automation Lab Dept. of Electrical Eng Moratuwa Sri Lanka

ISBN: (纸本)9798331529048

This paper proposes a wheeled mobility device specifically designed to facilitate chair transfers. This design introduces a novel seating function that can be used as a conventional wheelchair. It also includes an innovatively designed seat to enhance patient comfort during transfer and transport. In addition to this, the design integrates a specialized Stand Assistive Device to assist patients in standing and sitting. It includes several user-friendly features, a parallelogram mechanism that ensures that the user stays upright during the process and a lower limb locking mechanism to ensure stability. It also incorporates low physical strain to the caregiver providing a safe and feasible operation. An experiment was conducted to observe the path of the shoulder joint during assisted standing. The results obtained by this was integrated into the kinematic analysis of the Stand Assist Device. A kinetic analysis of the user and the Stand Assist device is presented in the paper. A functional prototype, incorporating several safety features, was fabricated and tested by four healthy users with varying anthropometric data. © 2024 IEEE.

关键词： Seats

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