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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Yusuf, Oluwaleke Habib, Maki Program Department of Mechanical Engineering Cairo Egypt

ISBN: (纸本)9798350320831

Hand Gesture Recognition (HGR) is a form of perceptual computing with applications in human-machine interaction, virtual/augmented reality, and human behavior analysis. Within the HGR domain, several frameworks have been developed with different combinations of input modalities and network architectures with varying levels of efficacy. Such frameworks maximized performance at the expense of increased hardware and computational requirements. These drawbacks can be tackled by transforming the relatively complex dynamic hand gesture recognition task into a simpler image classification task. This paper presents a skeleton-based HGR framework that implements data-level fusion for encoding spatiotemporal information from dynamic gestures into static representational images. Said static images are subsequently processed by a custom, end-to-end trainable multi-stream CNN architecture for gesture classification. Our framework reduces the hardware and computational requirements of the HGR task while remaining competitive with the state-of-the-art on the CNR, FPHA, LMDHG, SHREC2017, and DHG142S benchmark datasets. We demonstrated the practical utility of our framework by creating a lightweight real-time application that makes use of skeleton data extracted from RGB video streams captured by a standard inbuilt PC webcam. The application operates successfully with minimal CPU and RAM footprint while achieving 93.46% classification accuracy with approximately 2s latency at 15 frames per second. © 2023 IEEE.

关键词： Network architecture

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Design of an Automatic Price Tag System for Web-Based Retail Business 9

Design of an Automatic Price Tag System for Web-Based Retail...

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9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Liawatimena, Suryadiputra Gunawan, Devina Bina Nusantara University Automotive & Robotics Program Computer Engineering Department BINUS ASO School of Engineering Computer Science Deparment BINUS Graduate Program Master of Computer Science Jakarta11480 Indonesia Bina Nusantara University Automotive & Robotics Program Computer Engineering Department BINUS ASO School of Engineering Jakarta11480 Indonesia

ISBN: (纸本)9798350390025

Modern retail businesses face a significant challenge with the inefficiency of manually changing price labels on shelves. This manual process not only consumes valuable time and resources but also increases the likelihood of errors, leading to potential inaccuracies in pricing and a less streamlined shopping experience for customers. The proposed solution is the implementation of an Electronic Shelf Label (ESL) system that automatically displays the prices of goods on retail business shelves. This system connects a website (front end and back end) to e-paper via a Wi-Fi network and microcontroller, allowing retail business owners to update prices more easily. Additionally, buyers can search for desired items through the website. The results are the time to send data from the website to the e-paper, namely, to know the performance of the e-paper used. The average time required from 10 attempts to send data from the website to the e-paper is 20.935 seconds. Since the data is connected to the server and will be updated automatically, using this system will be more efficient than manually changing the price label, although it takes time to transfer data from the website to the e-paper. © 2024 IEEE.

关键词： Sales

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Traffic Signs Detection System Using YOLO (You Only Look Once) That Provides Notification 1

Traffic Signs Detection System Using YOLO (You Only Look Onc...

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1st International Conference on Smart Mechatronics, ICSMech 2024

作者： Setiawan, Yosua Puji, Muhammad Nurul Astuti, Winda Binus Aso School of Engineering Bina Nusantara University Automotive & Robotics Program Computer Engineering Department Jakarta11480 Indonesia

ISBN: (纸本)9798350368918

Road accidents have become a problem for many road users in many countries. It may affect human daily activity and tasks, potentially influencing productivity and safety. Therefore, reducing road accidents as swiftly and effectively as possible is critical. For this reason, a Traffic signs detection system has been developed in this work to improve road safety. The detection system can detect traffic signs on the road such as traffic lights, speed limits, and no U-turn signs, and then it will provide users with the corresponding text on an LCD and vibration feedback using a motor. Throughout this work, the You Only Look Once (YOLO) algorithm is proposed for detecting traffic signs on the road. Moreover, a camera is used to extract live videos which serve as an input for the Raspberry Pi 4 model B containing custom YOLOv5 and YOLOv8 models. The system then sends the output to an LCD, a vibration motor, and a radio frequency (RF) module as notifications for users. In the end, the performance of the proposed method has been collected and it is found to produce good accuracy within an inconsiderable amount of 1.677 images and 2.263 annotations. Therefore, the accuracy of 0.69 for YOLOv5 and 0.7 for YOLOv8 were obtained from the training and validation process. Furthermore, the system accurately detects the traffic signs on the road. © 2024 IEEE.

关键词： Traffic signs

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Development of Detection Lung Disease Stand Alone System Based on Convolutional Neural Network (CNN) 7

Development of Detection Lung Disease Stand Alone System Bas...

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7th International Conference of Computer and Informatics engineering, IC2IE 2024

作者： Liewarnata, Edgar Caesar Mariana, Yosica Tan, Sofyan Liawatimena, Suryadiputra Astuti, Winda Bina Nusantara University Binus Aso School of Engineering Automotive and Robotics Program Computer Engineering Department Jakarta11480 Indonesia Bina Nusantara University Binus Aso School of Engineering Product Design Program Industrial Engineering Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program - Master of Computer Science Automotive and Robotics Program Computer Engineering Department Binus Aso School of Engineering Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798331505530

Lung disease, especially Tuberculosis (TBC), placed the highest death rate in Indonesia. Tuberculosis (TB) in Indonesia is ranked second after India. Therefore, it is important to reduce or early detection of the lung disease, to prevent this disease and speed up handling. The system can recognize the disease lung identification, and the system applied as standalone system. In this work, the Convolutional Neural Network (CNN) approach for identifying diseases lung identification is proposed. The Mel Frequency Cepstral Coefficient (MFCC) applied to process the stethoscope sounds which will used as input to the CNN. The performance of the proposed system has been investigated and resulted. The accuracy of 99% and 98%, for training and testing accuracy respectively. Furthermore, the system accurately detects lung diseases identification. © 2024 IEEE.

关键词： Lung cancer

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Numerical Simulation Co-Firing Of EFB And LRC Injected At Different Burner Levels In Tangential Combustion-Type Pulverized Boilers 10

Numerical Simulation Co-Firing Of EFB And LRC Injected At Di...

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10th International Conference on Smart Computing and Communication, ICSCC 2024

作者： Agus Adi Saputra, I Nyoman Prabowo Setiyawan, Atok Bagus Wijaya Kusuma, I Gusti Ihsan, Sobar Darmawan, Arif Institut Teknologi Sepuluh Nopember Doctoral Program of Mechanical Engineering Department Surabaya Indonesia Institut Teknologi Sepuluh Nopember Mechanical Engineering Department Surabaya Indonesia Udayana university Mechanical Engineering Department Indonesia Indonesia

ISBN: (纸本)9798350363104

The exploration of biomass fuels is crucial for enhancing the economic value of solid waste from palm oil and mitigating the environmental impact of greenhouse gases emitted by power plants. This study conducted a numerical analysis on a pulverized coal (PC) boiler with co-firing at various burner positions. The numerical simulation results indicate that co-firing with empty fruit bunch (EFB) can enhance the ignition characteristics of Low Rank Coal (LRC). shown in the FEGT area an average increase in temperature of 0.2-0.45%. However, it should be noted that this temperature value is still within safe limits because it does not cause overheating of the heater. Furthermore, the formation of unburned particles can be reduced through the distribution of CO2. Additionally, the co-firing case 2 exhibits low NOx emissions, with a decrease rate of 24.6% when burner B is set at a condition of 1,63E-07. This condition is considered the most ideal as it is also accompanied by a significant reduction in SO2 emissions, ranging from 21.82% to 24.7%. © 2024 IEEE.

关键词： Coal

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Business Process Models in Small and Medium Manufacturing Industries: An Overview

Business Process Models in Small and Medium Manufacturing In...

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2024 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Fathoni, Muhammad Zainuddin Asih, Anna Maria Sri Wibisono, Muhammad Arif Industrial Engineering Program Department of Mechanical and Industrial Engineering Faculty of Engineering Universitas Gadjah Mada Yogyakarta Indonesia Industrial Engineering Program Faculty of Engineering Universitas Muhammadiyah Gresik Gresik Indonesia

ISBN: (纸本)9798350386097

Business process management has become a critical focus for many manufacturing industries. The function of business process management is to achieve organizational goals through the improvement, management, and control of business processes. A crucial step for companies in visualizing, analyzing, and optimizing workflows is business process modeling. Business Process Model and Notation (BPMN) is a tool widely used to visualize business process flows. This study employs a qualitative approach, using interviews conducted with seven small and medium-sized industries (SMIs). Important findings identified in SMI, in the recording process, both upstream and downstream processes, are still carried out manually, this is related to the potential for implementing enterprise resource planning (ERP). Regarding the processes on the production floor, in addition to paying little attention to implementing record-keeping systems, SMIs also tend to neglect forecasting methods, warehouse management, and the use of material handling. © 2024 IEEE.

关键词： Records management

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Adoption of Open-Source Enterprise Resource Planning in Small and Medium Industries: A Literature Review

Adoption of Open-Source Enterprise Resource Planning in Smal...

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2024 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Fathoni, Muhammad Zainuddin Sri Asih, Anna Maria Wibisono, Muhammad Arif Industrial Engineering Program Department of Mechanical and Industrial Engineering Faculty of Engineering Universitas Gadjah Mada Yogyakarta Indonesia Industrial Engineering Program Faculty of Engineering Universitas Muhammadiyah Gresik Gresik Indonesia

ISBN: (纸本)9798350386097

Small and Medium-Scale Industries (SMIs) play a significantly important role in the nation's economy. The adoption of current technology is necessary for SMIs to remain agile amidst industrial changes or challenges. However, they often face limitations in utilizing technology, particularly information technology, in their business processes. One popular integrated information system is the Enterprise Resource Planning (ERP) system, which connects various business units within an organization into a single integrated system. The implementation of ERP systems in small and medium-scale industries is necessary to enhance the effectiveness and efficiency of their business processes. In this paper, we conduct a systematic review of the literature discussing the adoption of open-source ERP systems in SMIs. The conclusion drawn is that ERP implementation in SMIs occurs across various sectors, including services, trading, and manufacturing. Developing open-source ERP systems poses substantial challenges for SMIs. This literature review investigates trends in ERP implementation for SMIs, highlighting current research directions and uncovering new insights and opportunities that can inform future studies. © 2024 IEEE.

关键词： Adoption ERP Open-Source SMIs Systematic Literature Review

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Load Response of SOFC Triple Combined Cycle with Green Hydrogen Generation and Utilization Installed in Core Substations

Load Response of SOFC Triple Combined Cycle with Green Hydro...

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2023 International Conference on Power and Renewable Energy engineering, PREE 2023

作者： Budiawan, Shafirah Khairina Obara, Shin'ya Kitami Institute of Engineering Department of Engineering Mechanical and Electrical Engineering Program Kitami Japan

ISBN: (纸本)9798350321906

A SOFC triple combined cycle power generation, consisting of a solid oxide fuel cell and gas turbine combined cycle is revealed to give efficiency improvement while reducing the amount of emissions in power generation. It comes from the fact that the exhaust heat generated from a cycle is further utilized for power generation in the next cycle. Studies concerning its designs and optimizations have been investigated, including the characteristics of the system. This study investigates the load following the response of a hydrogen-fueled triple combined cycle, where both the fuel cell and gas steam turbine run on hydrogen fuel. The hydrogen fuel consumed will be provided by a hydrogen generation system of a proton exchange membrane electrolyzer (PEMEC). The generated hydrogen is then stored in a hydrogen tank until further use. The Hydrogen generation triple combined cycle system is interconnected with a substation of renewable energy. Surplus electricity from renewables will be directed to power the electrolyzer. © 2023 IEEE.

关键词： Gas turbines

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Development of an Intuitive Autonomous Ground Robot for Indoor Delivery Applications 5th

Development of an Intuitive Autonomous Ground Robot for Indo...

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5th International Conference on Innovative Product Design and Intelligent Manufacturing Systems, ICIPDIMS 2023

作者： Peter, Jerin Thomas, Mervin Joe Gokulkrishna, S. Cholappally, Kiran Mohan, Santhakumar IIT Palakkad Technology IHub Foundation Palakkad India Robotics Laboratory Department of Mechanical Engineering NIT Karnataka Surathkal India Rajagiri School of Engineering and Technology Kakkanad India Department of Mechanical Engineering IIT Palakkad Palakkad India

ISBN: (纸本)9789819767311

Efficient and reliable parcel delivery services are always desired in different sectors such as hospitals, offices, industries and households. One promising solution to meet, this need is the application of Autonomous Mobile Robots (AMRs) capable of navigating complex indoor environments to deliver packages and goods. Generally, AMRs are used for the last-mile delivery of parcels. The end users of such robots have different skill sets, and the robot must have a simple user interface to ensure easy usability. This paper presents an AMR with an intuitive Graphic User Interface (GUI) and aesthetic design. It is enough for the end user to define the goal locations on the resulting map shown on the robot screen. The AMR will autonomously navigate to the given goal location. Besides, the effectiveness of sensor fusion and a comparative study of various combinations of sensor fusion are also described in this paper. In addition, the application of LiDAR odometry and its performance is also analyzed in this paper. The primary objective of this study is to identify an approach that improves the AMR’s tracking accuracy and makes it suitable for dynamic work environments. This paper describes the development of an AMR for last-mile delivery purposes, and its proof of concept is evaluated on the fabricated prototype. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Motion planning

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Effects of Time-variation of Segment-to-joint Vectors on Accuracy of Joint Torque in Wearable Inertial Sensor-based Inverse Dynamics

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Journal of Institute of Control, robotics and Systems 2022年第7期28卷 655-663页

作者： Lee, Chang June Lee, Jung Keun Department of Mechanical Engineering Hankyong National University Korea Republic of School of ICT Robotics & Mechanical Engineering Hankyong National University Korea Republic of

Estimation of the joint kinetics such as joint torques based on wearable inertial sensors has received a lot of attention in biomechanics. The joint torques can be calculated via inverse dynamics when segment and joint kinematics as well as external force such as ground reaction force are available. While most of the kinematic information needed for the inverse dynamics can be provided using inertial sensor signals in real time, segment-to-joint (S2J) vectors are usually predetermined via a calibration procedure in which an S2J vector is a vector from one point on a segment to a joint center observed in a segment-attached coordinate system. Conventionally, S2J vectors are treated as constants as the human bodies are modeled as multi-link systems. However, it is obvious that they can be variated due to the effects of soft tissue artifacts. In this regard, constant S2J vectors may lead to inaccuracies of not only the position estimation but also joint torque estimation. This paper investigates the effects of applying time-variation of S2J vectors on estimation accuracy of joint torques in inertial sensor-based inverse dynamics. A method of determining the time-varying S2J vectors based on a learning procedure was applied to inverse dynamics. Experimental results showed that, for example, time-variation of S2J vectors improved the estimation accuracy of hip joint torque by more than 68.41%. © ICROS 2022.

关键词： Vectors

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