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An Autonomous Seeder for Maize Crop 19

An Autonomous Seeder for Maize Crop

引用

Proceedings of the 5th international conference on robotics and Artificial Intelligence

作者： Amir Asghar Ali Muhammad Zohaib Syed Atif Mehdi Center of Robotics University of Central Punjab Lahore Pakistan

ISBN: (纸本)9781450372350

this paper presents a solution for sowing maize using an autonomous robot. the robotic seeder minimizes human involvement in the sowing process and hence reduces errors, time consumption and increases efficiency. An adjustable feature has been introduced which can be used to adjust the width of the seeder by considering the width of seedbeds in the fields. the robot is equipped with a 2D laser scanner and a seed sowing mechanism. the sensor provides environmental information in the form of distance data which is desired for controlling the movement of the seeder. the information is further used to extract seedbeds using Random Sample Consensus (RANSAC) with line fitting. For autonomous navigation, differential drive and PID control have been implemented. the sowing mechanism allows accurate seed sowing in proper alignment. It drops seeds continuously on equidistant positions during movement of the seeder. A simulated field using V-Rep has been created for testing the functionality of the seeder in simulation. the results from simulation present trajectories of the autonomous seeder and seeds sowing pattern. A hardware prototype is also presented showing the proposed seeder.

关键词： Autonomous seeding Autonomous robot Simulation Agricultural Robot Agricultural robots RANSAC

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Optimization of a Hedge-Algebra-Based Speed controller in a Stand-Alone WECS

Optimization of a Hedge-Algebra-Based Speed Controller in a ...

引用

international Multidisciplinary conference on Computer and Energy Science (SpliTech)

作者： Dinko Vukadinović Mateo Bašić Cat Ho Nguyen Tien Duy Nguyen Nhu Lan Vu Matija Bubalo FESB University of Split Split Croatia Institute of Theoretical and Applied Research Duy Tan University Vietnam Faculty of Electronics Engineering Tai Nguyen University of Technology Vietnam Faculty of Mathematics and Informatics Tang Long University Hanoi Vietnam

ISBN: (数字)9789532901054

ISBN: (纸本)9781728173634

this paper deals with a variable-speed wind energy conversion system (WECS), which is designed for dc load supply and battery charging in stand-alone applications. the PI speed controller, which is typically used in vector control systems with a self-excited induction generator (SEIG), is here replaced with a hedge-algebra controller (HAC). With this type of controller, it is possible to achieve a faster response and reduced overshoot/undershoot in the wind turbine (WT) speed in comparison with the PI controller. Fuzziness parameters and the linguistic rule base of the HAC are obtained by applying a genetic-algorithm-based optimization, which implies minimization of a predefined performance index. In this paper, the integral absolute error of the SEIG rotor speed is selected as the performance index, with the maximum overshoot/undershoot in the rotor speed during transients limited to 5%. the HAC is here for the first time implemented as the speed controller of the WT-driven SEIG. Simulation results show fast rotor speed responses obtained with the optimized HAC, which are superior to the PI controller responses.

关键词： PI control Rotors Linguistics Performance analysis Wind turbines Transient analysis Optimization

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In Situ Material Identification, Machining Monitoring, and Cloud Logging Integrated with AI and Machine Vision

In Situ Material Identification, Machining Monitoring, and C...

引用

Innovative Trends in Information Technology (ICITIIT), international conference on

作者： Penumuru Durga Prasad Deep Patel Sreekumar Muthuswamy Premkumar Karumbu Department of Mechanical Engineering Centre for AI IoT and Robotics Indian Institute of Information Technology Design and Manufacturing Kancheepuram Kancheepuram Chennai India Department of Electronics and Communications Engineering. Centre for AI IoT and Robotics Indian Institute of Information Technology Design and Manufacturing Kancheepuram Kancheepuram Chennai India

ISBN: (数字)9798350386813

ISBN: (纸本)9798350386820

Current process monitoring in machining hampers manufacturing efficiency due to manual data entry, fragmented systems, and lack of real-time data capture. this challenge is particularly tough for small to medium-sized enterprises (SMEs) without advanced tools. Our proposed methodology employs a collaborative robot (UR16e) with a machine vision system (InSight 7802C). the robot shifts the vision system to capture images of machining processes and workpieces. Enhanced with a fine-tuned Support Vector Machine (SVM) classifier, the vision system accurately identifies Aluminum, Copper, Mild Steel, and Medium-density fibreboard (MDF). Operational data, including material types and machine usage, is locally recorded and uploaded to Microsoft Azure cloud storage for data integrity and stakeholder transparency. this approach enhances process control and decision-making. Preliminary results validate its practicality and potential to boost manufacturing process monitoring. It sets a solid foundation for further exploration into smart manufacturing research, which is crucial for staying competitive in today’s rapidly evolving industrial landscape.

关键词： Support vector machines Process monitoring Cloud computing Service robots Machine vision Machining Drilling machines

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RoboMag: A Magnetic Actuation System Based on Mobile Electromagnetic Coils With Tunable Working Space

RoboMag: A Magnetic Actuation System Based on Mobile Electro...

引用

international conference on Advanced robotics and Mechatronics (ICARM)

作者： Xingzhou Du Lidong Yang Jiangfan Yu Kai Fung Chan Philip Wai Yan Chiu Li Zhang Technology Centre for Innovative Medicine The Chinese University of Hong Kong (CUHK) Hong Kong China The Chinese University of Hong Kong (CUHK) Hong Kong China CUHK T Stone Robotics Institute The Chinese University of Hong Kong Hong Kong China

ISBN: (数字)9781728164793

ISBN: (纸本)9781728164809

Magnetic field is regarded as a safe and efficient method for controlling minimally invasive medical robots remotely, and magnetic actuation system based on mobile electromagnetic coils are preferred due to the enlarged working space and fast response. Enhanced flexibility on coils' positions will further enable the system to deal with possible constraints inside the workspace, while design and control of such flexible systems remain challenging. In this work, a magnetic actuation system based on three mobile electromagnetic coils with decoupled movements is designed and the performance is demonstrated. the system consists of three 4-axis robotic arms that can adjust the relative positions of three mobile coils independently. the prototype of RoboMag is designed and able to program magnetic field at a required point inside a hemispherical space with a diameter of 152 mm. A method to drive the mobile-electromagnetic-coil-based systems with flexible movements is proposed. To begin with, a model of the robotic platform is built to place the coils to demanded position. A numerical model of a single coil is constructed and average error of magnetic field is reduced to 3.30% after calibration. Afterwards, a method based on coordinate transformation is proposed for the entire system to produce demanded magnetic torque and force at a required position. Experiments are conducted to demonstrate the system's capability on generating magnetic torque and force to actuate medical device analog.

关键词： Coils Magnetic resonance imaging Robot kinematics Manipulators Magnetic moments Magnetic devices

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Research on Reading Recognition Method of Pointer Meters Based on Deep Learning Combined with Rotating Virtual Pointer

Research on Reading Recognition Method of Pointer Meters Bas...

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Information Science, Computer Technology and Transportation (ISCTT), international conference on

作者： Xiaoliang Meng Fudong Cai Jinjun Wang Changfeng Lv Huanyun Liu Hongyuan Liu Minwei Shuai Electric Power Automation Division Shandong Senter Electronic Co. Ltd Zibo China Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an China Jinan Xintongda Electronic Technology Co. Ltd Jinan China

ISBN: (数字)9781728185750

ISBN: (纸本)9781728185767

there are still a large number of pointer meters in substations, which mainly rely on manual inspection to detect the readings of pointer meters. In order to solve the above problems, this paper proposes a pointer meter keypoints detection method based on deep learning combined with virtual pointer rotation to determine the meter readings. this method first uses the deep learning algorithm to train data set of pointer meters and obtain the keypoints information of pointer meters. According to the keypoints information, we can further determine the center of rotation and radius of the pointer meter, then the real position of the pointer meter can be determined. Finally, according to the meter range information, as well as the real pointer angle and the meter range angle, we can calculate the readings of the pointer meter. the experiment results show that the proposed method can quickly and accurately obtain the pointer position, and further identify the meter readings. the proposed method can reduce the uncertainty caused by manual inspection and have a great impact on intelligent development of substations.

关键词： Meters Deep learning Substations Uncertainty Manuals Inspection Meter reading

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Recognizing Malaysia Traffic Signs with Pre-Trained Deep Convolutional Neural Networks

Recognizing Malaysia Traffic Signs with Pre-Trained Deep Con...

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international conference on Cybernetics, robotics and control (CRC)

作者： Dickson Neoh Tze How Khairul Salleh Mohamed Sahari Yew Cheong Hou Omar Gumaan Saleh Basubeit Universiti Tenaga Nasional Kajang Malaysia Institute of Informatics and Computing in Energy Universiti Tenaga Nasional Kajang Selangor Malaysia Department of Electrical & Electronics Engineering Universiti Tenaga Nasional Kajang Selangor Malaysia

ISBN: (数字)9781728146201

ISBN: (纸本)9781728146218

An essential component in the race towards the self-driving car is automatic traffic sign recognition. the capability to automatically recognize road signs allow self-driving cars to make prompt decisions such as adhering to speed limits, stopping at traffic junctions and so forth. Traditionally, feature-based computer vision techniques were employed to recognize traffic signs. However, recent advancements in deep learning techniques have shown to outperform traditional color and shape based detection methods. Deep convolutional neural network (DCNN) is a class of deep learning method that is most commonly applied to vision-related tasks such as traffic sign recognition. For DCNN to work well, it is imperative that the algorithm is given a vast amount of training data. However, due to the scarcity of a curated dataset of the Malaysian traffic signs, training DCNN to perform well can be very challenging. In this demonstrate that DCNN can be trained with little training data with excellent accuracy by using transfer learning. We retrain various pre-trained DCNN from other image recognition tasks by fine-tuning only the top layers on our dataset. Experiment results confirm that by using as little as 100 image samples for 5 different classes, we are able to classify hitherto traffic signs with above 90% accuracy for most pre-trained models and 98.33% for the DenseNet169 pre-trained model.

关键词： Computer vision Deep learning Convolutional neural networks Object recognition Image classification

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A Rule Based Expert System to Advise on Air-Filtering Plants for Indoor Spaces in UAE 19

A Rule Based Expert System to Advise on Air-Filtering Plants...

引用

Proceedings of the 2019 5th international conference on Systems, control and Communications

作者： Grishma Jayesh Doshi Joseph D. Stevens Saima Tariq Khan Murdoch University Dubai U.A.E.

ISBN: (纸本)9781450372640

the purpose of this study was to develop an expert system that recommends types of plants that help remove toxic substances to improve air quality in a given ***, it is usually horticultural experts who suggest the right plants as per the environment, where feasible. there is also a significant gap in research related to any such smart systems as revealed in the literature *** led to the creation of the Plant Recommender Expert System (PRES) - an intelligent system that accesses expert knowledge by utilizing a set of inputs (e.g. expected humidity, average temperature, etc.) to recommend the type(s) of plants that should be purchased to suit the conditions of any given *** to office environments within the United Arab Emirates (UAE), PRES was successfully evaluated using several case studies with known outcomes.

关键词： Agro-informatics Sustainable Environments Decision Support Expert Systems Air Quality

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Interval-Valued Fuzzy Bézier Surface Approximation

Interval-Valued Fuzzy Bézier Surface Approximation

引用

international conference on Artificial Intelligence and Data Sciences (AiDAS)

作者： Nor Ashikin Sahrom Mohammad Izat Emir Zulkifly Siti Nur Idara Rosli Department of Mathematics Faculty of Science Universiti Teknologi Malaysia Johor Malaysia College of Computing Informatics and Mathematics Universiti Teknologi MARA Cawangan Negeri Sembilan Kampus Kuala Pilah Negeri Sembilan Malaysia

ISBN: (数字)9798331528553

ISBN: (纸本)9798331528560

In the field of geometry and computer-aided design Bézier surfaces are well known for their flexibility and effectiveness, in depicting shapes. However, dealing with real-world data and model parameters often involves uncertainty and imprecision that regular Bézier surfaces struggle to handle. this piece introduces the idea of interval-valued fuzzy Bézier Surface Approximation, an approach that combines logic and interval arithmetic to tackle uncertainty in surface modeling. In this paper, interval-valued fuzzy Bézier surface approximation is introduced. the interval-valued fuzzy control net relation is defined and introduced. Next, the surface blending function is obtained by blending the interval-valued fuzzy control net with the Bernstein blending function. Lastly, the data points or interval-valued fuzzy control net relation of the basis function is illustrated using the approximation method with the interval-valued fuzzy concept and features to produce an interval-valued fuzzy Bézier surface. the application of Bézier surfaces can be extended to handle a wide range of complex modeling and offers a more precise and dependable tool for engineering, graphics, and data visualization applications.

关键词： Solid modeling Fuzzy control Uncertainty Machine learning algorithms Shape Computational modeling Data visualization Data models Surface fitting Robustness

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TotCareBot: A Comprehensive Approach Towards Enhancing Early Childhood Education through robotics

TotCareBot: A Comprehensive Approach Towards Enhancing Early...

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international conference on Circuits, Communication, control and Computing

作者： Manjula R Chougala Sushma B Akshata S Bhayyar Abhay Bhandarkar P N Pavithra Dept. of Computer Science and Engineering Ramaiah Institute of Technology Bangalore India Department of Computer Science Engineering Ramaiah Institute of Technology Bengaluru India

ISBN: (数字)9798331528539

ISBN: (纸本)9798331528546

Robots have emerged as versatile tools with significant potential to enhance teaching and learning environments, including classrooms, laboratories, play homes, crèches, and even at home. their engaging nature can captivate young children, boosting motivation and interest. this paper proposes a methodology for an Educational Robot (ER) designed for play homes. the ER is capable of moving around the classroom, monitoring children, analyzing their emotions, responding appropriately, and alerting the teacher when necessary. the proposed system aims to leverage the positive impact of expressive behaviors in robots, such as storytelling and pampering. Our findings indicate that expressive robot narration is as effective as that of a human displaying similar behaviors and even surpasses a static, inexpressive human narrator. Furthermore, the robot excels in conveying educational content, although its limited emotional expression slightly reduces its effectiveness in narrating emotionally rich stories. this research underscores the potential of ERs to create dynamic and interactive learning experiences for young children, fostering both their cognitive and emotional development.

关键词： Educational robots Education Laboratories Circuits Boosting Behavioral sciences Robots Erbium Monitoring

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How Electromyography Readings from the Human Forearm are Made Cryptic, Trivial, or Non-Trivial Information for Use in Synthetic Systems

How Electromyography Readings from the Human Forearm are Mad...

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2015 5th international conference on Biomedical Engineering and Technology

作者： A.Y.Bani Hashim Z.Fu Z.Jamaludin I.S.Mohamad Department of Robotics & Automation Faculty of Manufacturing Engineering Universiti Teknikal Malaysia Melaka Faculty of Mechanical Engineering Universiti Teknikal Malaysia Melaka

the success of reading potentials generating from human muscle activities is evident that proves that the human body's neural system is naturally electronics. Now, modern engineering is accepting it as one field of engineering science. Due to this, the concept of a cyborg is beginning to realize as products such as exoskeletons and neuroprostheses. the object of this work, however, is to view from a different perspective as to how this is beneficial to the functions beyond the mentality of today's applications. We hypothesized that the recorded potentials from muscle activities may be regarded similar as to the signals that jump between synapses in the biological neurons. We suggest that these signals, instead of mere electrical in nature, their waveforms might include emotion characteristics from uniquely combined muscle activities and feeling. the system codes the signals where the newly created information may be made cryptic, trivial, or nontrivial depending on how they are going to be utilized in the synthetic systems. So that the artificial system could sense, for instance, the emotion of the human host.

关键词： Electromyography neurons forearm muscle

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