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A real-time automatic inspection system for pattavia pineapples

A real-time automatic inspection system for pattavia pineapp...

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作者： Kaewapichai, Watcharin Kaewtrakulpong, Pakorn Prateepasen, Asa Department of Instrumentation and Control System Engineering King Mongkut's University of Technology Thonburi 91 Prachautid Bangmod Toongkru Bangkok 10140 Thailand Production Engineering Department Faculty of Engineering King Mongkut's University of Technology Thonburi 91 Prachautid Bangmod Toongkru Bangkok 10140 Thailand

This paper presents a machine vision method to inspect the maturity of pineapples that ripe naturally. Unlike previous methods, the proposed technique can be categorized as a real-time non destructive testing (Real-Time NDT) approach. It consists of two phases, learning and recognition phases. In the learning phase, the system constructs a library of reference pineapple-skin-color models. In the recognition phase, the same process is performed to build a pineapple-skin-color model of the testing subject. The model is then compared with each of the reference in the library by a method called region-segmented histogram intersection. The subject is then labeled with the grade of the best match. The system achieved a high performance and speed (3 frames/sec.) in our experiment. The system also includes weighing machine on belt transmission for weight prediction.

关键词： Fruits

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Adaptive brake warning system for automobiles

Adaptive brake warning system for automobiles

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International Conference on ITS Telecommunications (ITST)

作者： P. Thammakaroon P. Tangamchit Department of Control System and Instrumentation Engineering King Mongkut''s University of Technology Thailand

We present an adaptive brake warning system in order to help a driver keep a safe distance from the cars in front to avoid rear-end collisions. The safe distance continuously varies according to the carpsilas velocity, driving events, and road conditions. Three sensors, an ECU reader, a camera, and a laser range finder, are used to collect the vehicular velocity, the density of cars on the road and the following distance respectively. These data are sent to a main computer to calculate the level of critical situation where the driver needs to apply brake ranging from 0 to 4 where level 0 is the safest and level 4 means the most dangerous. Two decision algorithms: adaptive threshold and fuzzy inference system are compared. The results from real driving situations indicated that both methods can achieve an accuracy of 76.98% and 65.46% respectively.

关键词： Adaptive systems Alarm systems Automobiles Roads Cameras Vehicles Collision avoidance Programmable control Adaptive control Accidents

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Evaluation of a 500-N deadweight force standard machine at NIMT

Evaluation of a 500-N deadweight force standard machine at N...

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The Society of Instrument and control Engineers Annual Conference 2015

作者： Kittipong Chaemthet Ake Chaisawadi Department of Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi

A 500-N deadweight force standard machine(DWM) has been developed for calibrating force proving instrument of small force ranges at National Institute of Metrology, Thailand(NIMT). The DWM is able to generate calibration forces ranging from 2 N to 500 N with the relative expanded uncertainty of 5×10-5. This machine can be divided into six calibration ranges, which are 10 N, 20 N, 50 N, 100 N, 200 N and 500 N. To verify performance of the machine, this paper shows the evaluation of relative uncertainty in the range of 50 N to 500 N. The force transducer was calibrated by the machine according to ISO376:2011[1]. The calibration result of force transducers has shown repeatability and reproducibility. The relative deviation of the calibration errors were less than 5×10-5 at the 50 % to 100 % of the capacity of force transducer.

关键词： Deadweight force standard machine,DWM,uncertainty,force-proving instrument,ISO 376:2011

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Adversarially Robust Reinforcement Learning for Urban Traffic Signal control 5

Adversarially Robust Reinforcement Learning for Urban Traffi...

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5th IEEE International Conference on Technology, Informatics, Management, engineering and Environment, TIME-E 2024

作者： Hamzah, Muhammad Shafly Joelianto, Endra Sutarto, Herman Yoseph Putri, Adiyana Institut Teknologi Bandung Instrumentation and Control Master Program Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Bandung Indonesia PT. Pusat Riset Energi Department of Intelligent System Bandung Indonesia Institut Teknologi Bandung Doctoral Program of Engineering Physics Bandung Indonesia

ISBN: (纸本)9798350364743

Urban traffic congestion presents critical challenges, resulting in delays, environmental pollution, and significant economic costs. While traditional traffic control methods, such as fixed-time and adaptive systems, have been widely implemented, they often fail in unpredictable conditions, particularly when confronted with noisy or inaccurate data. This research proposes a robust reinforcement learning (RL) solution for traffic signal control using the RADIAL-DQN (Robust Adversarial Loss DQN) algorithm. Integrating adversarial training enhances the system's robustness to real-world uncertainties. Evaluations conducted using a SUMO traffic simulation show that the robust agent produced an increase of only 60.71% in queue length under a projected gradient descent (PGD) adversarial attack, outperforming standard RL agents, which experienced an 89% increase. These results demonstrate the potential of robust RL to improve both the reliability and scalability of urban traffic control systems. © 2024 IEEE.

关键词： Traffic signals

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Firmware Design and Development of MCU and Matlab-Simulink Interfacing for Real-time Measurement, Analysis and control Applications

Firmware Design and Development of MCU and Matlab-Simulink I...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology

作者： Santi Nuratch Department of Control System and Instrumentation Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi Bangkok

ISBN: (纸本)9781467397506

This research describes the design and development of firmwares for microcontroller and computer (Matlab-Simulink) interfacing techniques. The firmwares are particularly designed and implemented for real-time measurement, analysis and control applications. They are developed with C language to archive better performance. A C-file of the microcontroller is compiled by the XC16 compiler to generate a HEX-file. While a C-file of the Matlab-Simulink is written as standard s-function of the Matlab and then compiled by Visual Studio 2013 using MEX command in Matlab workspace to generate a MEX-file. A Matlab-Simulink application uses the MEX-file as a core function for exchanging data with the microcontroller. Both of the firmwares are implemented based on Event-driven and Queue-driven techniques to maintain real-time ability and to guarantee that all data flowing over UART (RS-232) are transmitted, received and processed on time. To test and evaluate the firmwares, we develop 4-Channel Data Acquisition (DAQ) and 4-Channel PWM Signal Generator (PSG) running on the microcontroller. And in the Matlab-Simulink, an application for visualizing the signals of the DAQ and controlling the signals of the PSG is developed. The experimental results obviously show that the firmwares can be used for computer-based measurement, analysis and control applications properly.

关键词： Firmware Microcontroller Matlab Interfacing Real-time Data communication

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Multi-party secure communication using blockchain over 5G

Multi-party secure communication using blockchain over 5G

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Archana, K. Kareem, Z.H. Al-Farhani, Liwa H. Bagyalakshmi, K. Jenvi, Ignatia K. Majella Kumar, Ashok Department of Computer Engineering Pimpri Chinchwad College of Engineering and Research Maharashtra Pune India Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University College Babylon Iraq System Analysis Control and Information Processing dep Academy of Engineering RUDN University Moscow Russia Sri Ranganathar Institute of Engineering and Technology Coimbatore India Mathematics Department Saveetha School of Engineering SIMATS Saveetha Nagar Chennai India Department of Computer Science Banasthali Vidyapith Rajasthan Banasthali India

ISBN: (纸本)9781032669663

One of the most critical problems facing the blockchain technology industry right now is how to protect the privacy of users’ data on the blockchain in a way that is both effective and cheap. Based on the Pedersen commitment and the Schnorr protocol, this study comes up with a secure multi-party computing protocol (BPLSM). By making the structure of the protocol and doing formal proof calculations, it has been shown that the protocol can be used in the blockchain network to combine private messages for efficient signing while keeping people’s identities secret. Furthermore, by looking at the nature and security of the protocol, it is also possible to find that the BPLSM protocol on the blockchain has a low cost of computing and a high level of information secrecy. Furthermore, it was found that the BPLSM protocol takes less time to check than the current mainstream BLS signature in a simple multi-party transaction with a fixed number of participants. © 2024 The Author(s).

关键词： Blockchain

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Road traffic estimation with signal matching in mobile phone using large-size database

Road traffic estimation with signal matching in mobile phone...

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2009 12th International IEEE Conference on Intelligent Transportation systems, ITSC '09

作者： Promnoi, Sunisa Tangamchit, Poj Pattara-Atikom, Wasan Department of Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand National Electronics and Computer Technology Center 112 Phahol Yothin Rd Klong Luang Pathumthani 12120 Thailand

ISBN: (纸本)9781424455218

This paper presents a road traffic estimation method using a GSM mobile phone as a probe. The technique relies on localization by signal strength matching. Our emphasis is on the unusual-large size of the database. We built a module that automatically collects location-signal with one second refresh rate and carried it along a test route to collect database. To handle big database, we additionally present a noise reduction algorithm, which eliminates bad data and compacts the database. For the localization algorithm, the fast nearest neighbor strategy is applied in the database matching to reduce computation time. The position estimations which formerly implemented noise reduction are compared with the ordinary results. Furthermore, we compared the computation time of the fast nearest neighbor algorithm to the normal method. The results show that the mobile phone positioning based on signal strength pattern matching can locate its location down to 63 meter accuracy. © 2009 IEEE.

关键词： Database systems

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Predictive brake warning at night using taillight characteristic

Predictive brake warning at night using taillight characteri...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Peachanika Thammakaroon Poj Tangamchit Department of Control System and Instrumentation Engineering King Mongkut''s University of Technology Thonburi Thailand

We present a technique used for frontal collision warning in an intelligent vehicle. The system uses an image processing algorithm to detect taillights (red brake lights) of vehicles driving at night time. The area of red lights, the size of the largest brake lights, and the vehicle's speed are used to compute the rear-end collision risk, which can be used as an indicator to danger that potentially leads to frontal collision. Therefore, the driver can be warned, and he can perform brake action on time. The algorithm uses a threshold to detect red color on an RGB image. The thresholds are obtained from statistical collection of 50 sample images. From our experiment on real driving situation, the collision risk can predict the actual brakes with 90% accuracy. The result also indicates that the area of red lights detected has a close relationship with the brake applied.

关键词： Costs Image processing Cameras Data mining Intelligent vehicles Vehicle detection Vehicle driving Layout Humans Road accidents

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Deep Learning-Driven Navigation for Autonomous Golf Carts: Implementing YOLOP for Roadside Tracking

Deep Learning-Driven Navigation for Autonomous Golf Carts: I...

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International Conference on control, Automation and systems ( ICCAS)

作者： Benjamas Panomruttanarug Jirapasson Ponpimonangkul Paiporn Muangthai Natthakan Piyawanich Department of Department of Control System and Instrumentation Engineering King Mongkut University Technology Thonburi Bangkok Thailand

ISBN: (数字)9788993215380

ISBN: (纸本)9798331517939

This paper presents a vision-based navigation system for an autonomous golf cart, utilizing a custom drive-by-wire system and a single webcam strategically mounted on the left-hand side for real-time roadside tracking. Employing the You Only Look Once for Panoptic Driving Perception (YOLOP) model, optimized with TensorRT and trained on the Berkeley Deep Drive 100K dataset, the system effectively processes images to delineate drivable paths under various lighting conditions. Experiments conducted on both straight and curved paths at King Mongkut’s University of Technology Thonburi demonstrated the system’s capability to accurately track and adjust to lane deviations using a Proportional-Derivative control mechanism, ensuring precise vehicle steering and robust performance. The findings underscore the potential of integrating advanced image processing and deep learning models to enhance autonomous navigation in urban settings, suggesting avenues for further improvements in multi-sensor fusion and algorithm optimization.

关键词： YOLO Navigation Webcams Urban areas Lighting Real-time systems Robustness PD control Vehicle dynamics Optimization

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Study and Implementation of Microcontroller-based system Dynamics Emulator using Numerical Method and Reduction of Order Technique

Study and Implementation of Microcontroller-based System Dyn...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology

作者： Santi Nuratch Department of Control System and Instrumentation Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand

ISBN: (纸本)9781467397506

This paper presents the study and implementation approaches of microcontroller-based system dynamics emulator for Mechanical system and Electrical system. The main goals of this research are to prove that fixed-point microcontrollers can be used for system dynamics emulator, to study numerical approximation methods for system dynamics modeling and to make a microcontroller working as a system dynamics. Both systems, mechanical and electrical are modeled by Ordinary differential equation method (ODE). The numerical approximation techniques based on Euler's method are studied and used as implementation approaches. The obtained second-order differential equations are then applied by the Reduction of order technique to convert them to first-order differential equations that can be solved by the first-order Euler's methods. The final version of the system equations are finally implemented on a microcontroller and examined thoroughly. The microcontroller that works as a system dynamics connects to a computer through internet network using a standard 802.11b/g Wi-Fi module. Therefore, we can interact with the system running on the microcontroller directly from a web-browser. Web-applications running on a web-browser are used to control and visualize all of system parameters. We closely analyze the experimental results by comparing them with the results obtained by reliable computer software tools, Matlab and Octave. The experimental results show that the proposed approach acquires many desired requirement of system dynamics modeling and it obviously shows that many fixed-point microcontrollers can be properly used for system dynamics emulator.

关键词： system dynamics Differential equation Numerical approximation Reduction of order Microcontroller Mechanical system Electrical system

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