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Smart Planter: A controlled Environment Agriculture System Prioritizing Usability for Urban Home Owner 3

Smart Planter: A Controlled Environment Agriculture System P...

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3rd international conference on robotics and Computer Vision, ICRCV 2021

作者： Teoh, Kawai Ng, Sokchoo International University of Malaya-Wales Faculty of Arts and Science Kuala Lumpur Malaysia

ISBN: (纸本)9781665436281

controlled Environment Agriculture (CEA) in the urban setting are often conducted on the medium to large scale. These CEA setups are often touted as a potential solution to the food desert problem, and as a method to reduce the distance from the farm to plate. Sometimes, the CEA setup could act as a piece of Green Architecture in the city, as is the case for Rooftop Gardens. This study proposed an IoT (Internet of Things) enabled agricultural setups called the Smart Planter, to be comfortably used by home owners that may have problems with growing edible food and herbs within their homes. The system design of the Smart Planter maintains several operational functions and automation from the larger CEA setups, bringing to the urban home owners the opportunity to grow from produce. The Smart Planter intended to bring to the urban home owners the benefits of a recreational activity, an educational experience and ease of access to nutrition. The result of this study is a physical model of the automated system that can detect and regulate the environment. © 2021 IEEE.

关键词： Cyber Physical System

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A 3D Positioning Method for Electric Robots Based on Binocular Vision

A 3D Positioning Method for Electric Robots Based on Binocul...

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Computer, control and robotics (ICCCR), international conference on

作者： Wancai Zhang Wenqing Yang Zhen Sun Nan Zhang Information system integration branch of NARI Technology Co. Ltd Nanjing China

When employing monocular camera model detection to determine the 3D position of the operation target, which is common in the field of electric power robotics, the robot arm cannot be accurately guided to work. The approach initially aligns, corrects, and denoises the binocular image data in accordance with the calibration parameters of the binocular camera system. This work offers a 3D positioning method based on binocular vision. Following the separation of the apparent features of the operation target from the binocular image data, the 3D coordinates of the operation target are computed utilizing the geometric constraints of the binocular pair. Finally, the 3D coordinates of the operation target are matched with the pre-constructed 3D model by ICP to obtain the accurate 3D pose of the operation target. It has been demonstrated through studies that the method presented in this work greatly improves the 3D positional identification accuracy when compared to other existing charging port detection methods. It may also be applied to other sectors of electric robots.

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Internet of Things Horizontal Platform Development for Expanded Application Scenarios and Use Cases 3

Internet of Things Horizontal Platform Development for Expan...

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3rd international Congress on Optics, Electronics, and Optoelectronics, ICOEO 2022

作者： Ganchev, Ivan Ji, Zhanlin O'Droma, Máirtín University of Plovdiv Paisii Hilendarski Plovdiv Bulgaria Institute of Mathematics and Informatics Bulgarian Academy of Sciences Sofia Bulgaria University of Limerick Co. Limerick Ireland College of Artificial Intelligence North China University of Science and Technology Tangshan China

This paper presents the horizontal approach for the development of Internet of Things (IoT) platforms, based on a generic, multi-service, cloud-based IoT operational platform, called EMULSION, elaborated for the rapid development of mobile IoT systems and quick roll-out of corresponding IoT services. The platform is successfully used as a basis for the development of various IoT prototype systems for different IoT domains, such as smart environment control, smart health, smart electric appliances, smart water supply, etc. As an example of these, a ground surface displacement monitoring IoT system, operating in the area of smart environment control, is presented, along with aspects of the hardware design of the produced low-cost, small-size, global navigation satellite system (GNSS)-based sensor unit, utilized by it. The system architecture design is set out, supplemented by the presentation of initial test results. © Published under licence by IOP Publishing Ltd.

关键词： Internet of things

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Solution of the Forward Kinematics of Parallel Robots Based on Constraint Curves 17th

Solution of the Forward Kinematics of Parallel Robots Based ...

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17th international conference on informatics in control, automation and robotics, ICINCO 2020

作者： Peidró, Adrián Payá, Luis Cebollada, Sergio Román, Vicente Reinoso, Óscar Automation Robotics and Computer Vision Laboratory Miguel Hernández University Avda. de la Universidad s/n Elche03202 Spain

ISBN: (纸本)9783030924416

This paper presents a method to solve the forward kinematic problem of parallel robots, obtaining all real solutions. The method is illustrated with the 3UPS-PU parallel robot, and consists in eliminating one unknown to obtain an equation that constrains the admissible values of the remaining unknowns. This constraint defines a curve in the plane of the remaining unknowns, which contains all real solutions. The proposed method samples and scans this constraint curve in order to find all real solutions, using only analytical operations and k-dimensional trees. This method is able to find all real solutions and performs at least one order of magnitude faster than other numerical methods, while avoiding the complicated and lengthy symbolic expressions that traditional elimination procedures involve. The proposed method is also extended to the complex domain and another parallel robot (the 3RRR robot). © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Numerical methods

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Influence of Two Types of Disturbing Effects with Different Statistical Characteristics on the Efficiency of Information Processes Implementation 3

Influence of Two Types of Disturbing Effects with Different ...

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3rd international conference on control Systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2021

作者： Nachev, Atanas Kordov, Krasimir Zhelezov, Stanimir Gueorguiev, Nikolay Pavlova, Daniela University of Library Studies and Information Technologies Sofia Bulgaria Konstantin Preslavsky University of Shumen Dept. of Computer Informatics Shumen Bulgaria Konstantin Preslavsky University of Shumen Dept. of Computer Systems and Technologies Shumen Bulgaria Institute of Metal Science Equipment and Technology with Hydroaerodynamic Center Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (纸本)9781665439817

The theory of reliability, which appeared and developed in the second half of the 20th century, in its classical provides methods that can often be used to solve problems related to the functional reliability of network structure, such as computer and communication networks and systems based on them. Therefore, it is necessary to combine the methods of the 'classical' theory of reliability with methods describing their functioning. An approach for determining the efficiency of the implementation of information processes is proposed, which is invariant in terms of the ways of their implementation. The obtained results show that the considered types of disturbing effects can have a significant impact on the efficiency of information processes. The presented analytical apparatus, due to its invariance, allows to solve a wide range of applied problems in the design of information systems of different nature. © 2021 IEEE.

关键词： Reliability theory

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Enhance Terahertz Image Resolution via Complex-valued convolutional neural networks 3

Enhance Terahertz Image Resolution via Complex-valued convol...

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3rd international conference on Defence Technology, ICDT 2022

作者： Hu, Nairui Qi, Feng Li, Yufeng Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang110016 China Shenyang Aerospace University Liaoning Shenyang110136 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China

Terahertz imaging technology is widely used in nondestructive testing (NDT), human security inspection, far-field imaging systems, and so on. Improving image resolution is always a topic of discussion. For visible image and image super-resolution, the convolutional neural network (CNN) has achieved a better improvement effect than the traditional algorithm. Compared to optics, it is quite feasible to gain both the amplitude and phase information in THz imaging, the Complex-valued convolutional neural network (CV-CNN) is better suited for the field of terahertz imaging than the real-valued neural network. In this paper, A lightweight complex-valued neural network is constructed which enhances terahertz imaging in a vector network analyzer (VNA) imaging system. Compared to CNN, CV-CNN has a better peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), and it is significantly less vulnerable to overfitting. Phase information can be used well at the same time, which is impossible for CNN. The network is trained using the MNIST dataset and verified by using simulated and measured data obtained from a 200Ghz imager. © Published under licence by IOP Publishing Ltd.

关键词： Image resolution

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Impact of Air Quality on Millimeter Wave Transmission Performance 3

Impact of Air Quality on Millimeter Wave Transmission Perfor...

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3rd international conference on Defence Technology, ICDT 2022

作者： Wu, Hongming Wang, Ningbo Wang, Yelong Wang, Jinkuan College of Information Science and Engineering Northeastern University Liaoning Province Shenyang110819 China Shenyang Institute of Automation Chinese Academy of Sciences China The Key Laboratory of Liaoning Province in Terahertz Imaging and Sensing Shenyang110169 China The Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China The Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang110169 China

In this paper, we use millimeter wave radar to conduct outdoor experiments under different air quality conditions and analyze the degree of millimeter wave transmission attenuation. The radar we use operates at 94 GHz with a bandwidth of 1 GHz, a distance resolution of 15 cm, and a maximum detection distance of about 150 meters. We mainly use PM2.5 and PM10 indices as air quality criteria and find that the reflected signal strength of millimeter wave from 90m to 150m decreases by 0.38dB when the air quality rises from 136 to 250, indicating that the weaker the air quality, the weaker the millimeter wave signal strength. This provides an experimental basis for the field of millimeter wave communication. © Published under licence by IOP Publishing Ltd.

关键词： Air quality

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Research on Coal and Gangue Recognition Method Based on Improved MobileNetV3 Network

Research on Coal and Gangue Recognition Method Based on Impr...

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Computer, control and robotics (ICCCR), international conference on

作者： Wei Chen Shuang Wang Qisheng Luo Xin Li Collaborative Innovation Center of Mine Intelligent Equipment and Technology College of Mechanical Engineering Anhui University of Science and Technology Huainan Anhui China

In order to solve the problems of classical convolutional neural networks in coal and gangue recognition, such as large calculation amounts, slow recognition speeds, and low recognition accuracy, a method for coal and gangue recognition based on an improved MobileNetV3 network is proposed. Based on the MobileNetV3 model, the activation function and attention mechanism were improved and the number of network layers was reduced. Finally, the accuracy rate, F1 score, and floating-point operation (FLOPs) were used as the benchmark for model evaluation. The results showed that: The test accuracy rate after the improved MobileNetV3 is 99.5%, the F1 score is 0.995, and FLOPs is 50455003. A comparison between the model and the MobileNetV3, EfficientNet, and AlexNet models shows that all indicators of the model are higher than those of other models. Suitable for coal gangue recognition model.

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Implementation of 8-Puzzles Game on Android Operating System Based on Accelerometer Sensor control

Implementation of 8-Puzzles Game on Android Operating System...

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international conference on Innovation and Intelligence for informatics, Computing, and Technologies (3ICT)

作者： Syahdi Gharizah Ahsan Hilal H. Nuha Satria Akbar Mugitama Hassan Rizky Putra Sailellah Rana Zaini Fathiyana School of Computing Telkom University Bandung Indonesia School of Computing Telkom University Jakarta Jakarta Indonesia

ISBN: (数字)9798331533137

ISBN: (纸本)9798331533144

Game8-Puzzles is a game that is widely known not only in Indonesia but also in the world. The modern 8-Puzzles game has been downloaded up to 100 million times on the Play Store platform. However, there has not been any 8-puzzles game that is played by tilting or rotating the device. This can be an opportunity for innovation by implementing an accelerometer sensor in the game. However, the accelerometer is very sensitive to changes that occur so that sometimes it has results that are not in accordance with the user's wishes. Therefore, an additional method is needed to be able to maximize this integration by adding Proportional Integral Derivative (PID) control. This method has been widely used, especially in industrial fields such as automation and robotics. Its simplicity and ease of implementation make it superior to other methods. Many industrial devices can be linearized without many errors. In this study, the implementation of the 8-puzzles game with accelerometer sensor control was successful even with a low percentage of correct movements. Furthermore, the PID control method was applied in the game and resulted in an increase in the percentage of correct movements by almost 20%. This proves that PID control can function well in the game.

关键词： Accelerometers Technological innovation PI control automation Service robots Operating systems Games Robot sensing systems PD control informatics

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Rotated Vehicle Object Detection and Tracking on Drone-captured Scenarios 3

Rotated Vehicle Object Detection and Tracking on Drone-captu...

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3rd international conference on Computer Vision and Pattern Analysis, ICCPA 2023

作者： Zhou, Minglong Li, Ning Miao, Lize Zhou, Huiyu College of Eletronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China School of Informatics University of Leicester Leicester United Kingdom

ISBN: (纸本)9781510667563

The vehicle object detection and tracking on drone-captured scenarios will play a significant role in the intelligent transportation in future. In order to provide accurate orientation and scale information, the angle vector module is introduced to improve the model to realize the rotated detection. For the small and densely distributed objects, the C3_TR structure is proposed to improve the detection accuracy. The image weight and the category weight are used in training to improve accuracy on the self-built vehicle dataset with the category imbalance. Finally, the mAP of the improved YOLOv5 detector is 82.4% higher than the baseline model by 8.1 percentage points. The angle parameter is taken into account and the rotated IOU matching is used instead of the horizontal IOU matching to realize the tracking with rotated bounding boxes by DeepSORT. In tracking evaluation results on the self-built dataset, the HOTA, MOTA, MOTP and ID_SW are 76.86%, 92.8%, 81.3% and 2, respectively. © 2023 SPIE.

关键词： Drones

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