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Intelligent Waste Bot Using Internet of Things and Deep Learning for a Smart City 3rd

Intelligent Waste Bot Using Internet of Things and Deep Lear...

引用

3rd international conference on Information Technology, InCITe 2023

作者： Shirwaikar, Rudresh Lamgaonkar, Yogini D’souza, Lyzandra Khorjuvenkar, Diksha Prabhu Department of Computer Engineering Agnel Institute of Technology and Design Goa University Taleigão India

ISBN: (纸本)9789819959938

The buildup of solid garbage in metropolitan areas is causing environmental contamination and may be harmful to human health if not adequately controlled. A sophisticated/intelligent waste management system is required to handle various wastes. Separating garbage into its component parts is a crucial stage in waste management and is generally done manually by hand- picking. We propose a bot-based waste management system with nodes consisting of mechanical robotic arms to pick up waste material. Deep learning is a kind of machine learning that harvests information by layering data representation and feature extraction. The robotic arm has been designed to move in the same way as a human arm does. This is accomplished by using an Arduino Nano microcontroller with servo motor control which is programmed in the Java language. Convolution neural network, a deep, feed- forward artificial neural network, was used to accurately assess the image. This technique is offered as a part of a solid waste sorter. The combination of robotic waste management with a deep learning system allows trash to be classified and disposed off automatically. As a result, trash segregation with deep learning includes image acquisition from a camera, object recognition, prediction, and categorization into biodegradable and non-biodegradable categories. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Robotic arms

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computer Monitoring of Physical and Chemical Parameters of the Environment Using computer vision Systems: Problems and Prospects 3

Computer Monitoring of Physical and Chemical Parameters of t...

引用

3rd international conference on Informatics and Data-Driven Medicine (IDDM)

作者： Bashtyk, Yuriy Campos, Jaime Fechan, Andriy Konstantyniv, Sviatoslav Yakovyna, Vitaliy Lviv Polytech Natl Univ 12 Bandera Str UA-79013 Lvov Ukraine Linnaeus Univ PG Vejdes 6&7 SE-35195 Vaxjo Sweden Univ Warmia & Mazury 2 Michala Oczapowskiego Str PL-10719 Olsztyn Poland

The paper is devoted to the initial stages of the developing of a system for computer monitoring of environmental physical and chemical parameters using computer vision systems. The way of using specially designed QR codes as optical identifiers for a set of sensors along with the white standard is shown. A number of materials have been considered for use as an optically active sensor environment for such monitoring system.

关键词： software monitoring environment physical and chemical parameters optical sensors

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Application of Plant Disease Identification and Detection based on Deep Learning

Application of Plant Disease Identification and Detection ba...

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Robotics, Artificial Intelligence and Intelligent control (RAIIC), international conference on

作者： Yingan Shao Madhavi Devaraj School of Information Technology Mapua University Manila Philippines School of Computer Science Baicheng Normal University Baicheng China

ISBN: (数字)9798350352627

ISBN: (纸本)9798350352634

Early identification and detection of plant diseases is essential for preventing diseases during plant growth and is also the core of precise and intelligent management of crop diseases and insect pests. This paper first introduces the plant disease type, plant disease data set and pretreatment technology, and then elaborates on the research status of deep learning identification and detection algorithm, and existing problems, finally points out that although deep learning in plant disease identification and detection shows great potential, but still face such as complex environment robustness, disease identification, data set deviation and diversity is the main challenge.

关键词： Deep learning Plant diseases Adaptation models Technological innovation Image recognition Face recognition Transfer learning

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Inverse Linear Quadratic Regulator Problem for Discrete-Time Systems via LMI

Inverse Linear Quadratic Regulator Problem for Discrete-Time...

引用

Automation, Robotics and computer Engineering (ICARCE), international conference on

作者： Qiang Li Wenwu Fan Junlin Xiong School of Information Science and Technology University of Science and Technology of China Hefei China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

This paper focuses on the inverse optimal control problem for discrete-time systems with unknown cost functions using linear matrix inequalities (LMIs). Based on Pontryagin's minimum principle, a novel model-based algorithm is proposed to reconstruct the weight matrices of an unknown quadratic cost function. This algorithm is formulated using LMIs to find a solution to the algebraic Riccati equation, which is then used to determine the weight matrices. We prove that the solution obtained from LMIs belongs to the set of solutions for the inverse optimal control problem. On this basis, a noniterative model-free algorithm is presented to solve the problem without requiring system matrices. The collected data is used to estimate the unknown weight matrices, and we prove that our algorithm can obtain an approximate optimal solution. Finally, an example illustrates the effectiveness of our algorithms, and comparisons show that our algorithms outperform others.

关键词： Discrete-time systems System dynamics Heuristic algorithms Optimal control Approximation algorithms Cost function Mathematical models Linear matrix inequalities Numerical models Robots

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Enhanced YOLOv5 Algorithm for Defect Detection in Solar Cells

Enhanced YOLOv5 Algorithm for Defect Detection in Solar Cell...

引用

Robotics, Artificial Intelligence and Intelligent control (RAIIC), international conference on

作者： Mingyuan Ma Chaozhu Zhang Xinyu Liao Yongli Han Qilu University of Technology Jinan China

ISBN: (数字)9798350352627

ISBN: (纸本)9798350352634

Photovoltaic cells play a critical role in solar power generation, with defects in these cells significantly impacting energy conversion efficiency. To address challenges in detecting defects of varying scales in solar cells, an enhanced YOLOv5 algorithm is proposed. This algorithm integrates the Convolutional Block Attention Module (CBAM) to improve feature extraction, incorporates the Bi-directional Feature Pyramid Network (BiFPN) for refined feature fusion, and introduces the FasterNet architecture to enhance detection speed without sacrificing performance. Experimental results show a 1.6% increase in mean Average Precision (mAP) compared to the original network, and the effectiveness of the proposed method is further validated against mainstream models.

关键词： YOLO Training Analytical models Computational modeling Photovoltaic cells computer architecture Feature extraction

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Distributed Embedded Platform for controllers following the Supervisory control Theory 3

Distributed Embedded Platform for Controllers following the ...

引用

3rd international conference on Electrical, Communication and computer Engineering, ICECCE 2021

作者： Assmann, Joao Vitor Gotz, Marcelo Muller, Ivan Rettberg, Achim Universidade Federal Do Rio Grande Do sul Department of Automation and Energy Porto Alegre Brazil Electrical Engineering Postgraduation Program Universidade Federal Do Rio Grande Do sul Porto Alegre Brazil University of Applied Sciences Hamm-Lippstadt Department of Computer Science Lippstadt Germany

ISBN: (纸本)9781665438971

Supervisory control Theory (SCT) is a powerful framework to design a controller for a Discrete Event System (DES). However, several issues appear because of the different nature of SCT and synchronous-based systems, on which a controller will be executed. While SCT, which relies on automata theory, is based on the occurrence of asynchronous events, a computer-based system is based on a synchronous digital system. Even though most of the contributions to overcome the problems derived by this fact concentrate on the usability for Programming Logic controllers, no significant contribution has been made for embedded execution platform. If so, it relies on the hand-coded implementation of the supervisor controller. The work here proposed, combines previous research contributions to develop an embedded and distributed platform for supervisor automata model execution. No code translation is required, since the models, after simulation, can be directly executed on the proposed platform. The results obtained by two case studies show the feasibility of the conceived platform. © 2021 IEEE.

关键词： controllers

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Research on the Influence of Inventory Optimization Level on System Reliability

Research on the Influence of Inventory Optimization Level on...

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Electronic Information Engineering and computer Science (EIECS), 2021 international conference on

作者： Hongyan Wang Gang Xiang Ruishi Lin Dongpeng Li Yu Peng Gongcheng Zhou Langfu Cui Qingzhen Zhang Liang Li School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Aerospace Automatic Control Institute Beijing China High Tech Research Institute Beijing China

This paper aims to investigate the impact of spare parts management on system reliability in complex equipment systems, primarily focusing on two factors: the system's continuous operational duration and the total cost associated with spare parts storage. By establishing a multi-objective optimization model, we have identified an optimal spare parts storage strategy that strikes a balance between the total cost and the system's continuous operational duration. The experimental results indicate that, within the assumed 3-year effective operational cycle of the complex equipment system, when equipping it with 2, 2, and 3 spare parts for the gyroscope, accelerometer, and servo motor respectively, the system's longest continuous operating duration is 37,300 hours, and the minimum cost is 84,000 RMB. Compared to the single-objective optimization model, this model not only reduces the total cost but also ensures that the system will not be interrupted due to spare parts shortages within its normal lifecycle. This study provides valuable insights and optimization methods for improving the reliability of complex systems.

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An Innovative Cloud Security and Data Sharing Across Multi-clouds Through PACM Techniques 3rd

An Innovative Cloud Security and Data Sharing Across Multi-c...

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3rd international conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2022

作者： Jyothi, E.V.N. Masthan, Kaja Kranthi, Maddala Department of Information Technology Keshav Memorial Institute of Technology Hyderabad India Department of Computer Science and Engineering Sphoorthy Engineering College Hyderabad India Department of Computer Science and Engineering PACE Institute of Technology and Sciences Ongole India

ISBN: (纸本)9789811960871

Cloud is providing virtual environment in order to share the data across multiple owners and users across pervasive computing environments. The security among virtual environment is the key challenge of the research in providing role-based access control policies and providing security to the confidential data of the cloud owners. Cloud generally provides low-cost services and provides the end-to-end solutions through managing the documents and various files of the data owner, and data of the owners is available in various formats. Key management and cryptographic techniques are widely used to provide security to the data transmitted across insecure networks. The secret key management is providing the valid keys to authenticate through the cloud-based services and access with valid keys and providing security without any loopholes in the transmission and sharing the data through owners and cloud users. A symmetric key management algorithm is used to provide a unique to each and every cloud user and a group key to access the permissions and allows particular used to gain access to the cloud services using key pairs for valid authentication process. Providing security across multi-cloud environment through PACM techniques and implementing most advanced secured key management algorithms to overcome the existing data leakages across cloud computing environment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Ubiquitous computing

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Real-time Multispectral Image Processing and Registration on 3D Point Cloud for Vineyard Analysis 16

Real-time Multispectral Image Processing and Registration on...

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16th international Joint conference on computer vision, Imaging and computer Graphics Theory and Applications (VISIGRAPP) / 16th international conference on computer vision Theory and Applications (VISAPP)

作者： Clamens, Thibault Alexakis, Georgios Duverne, Raphael Seulin, Ralph Fauvet, Eric Fofi, David Univ Bourgogne Franche Comte UBFC ERL VIBOT CNRS 6000 ImViA EA 7535 F-71200 Le Creusot France

ISBN: (纸本)9789897584886

Nowadays, precision agriculture and precision viticulture are under strong development. In order to accomplish effective actions, robots require robust perception of the culture and the surrounding environment. computer vision systems have to identify plant parts (branches, stems, leaves, flowers, fruits, vegetables, etc.) and their respective health status. Moreover, they must merge various plant information, to measure agronomic indices, to classify them and finally to extract data to enable the agriculturist or expert to make a relevant decision. We propose a real-time method to acquire, process and register multispectral images fused to 3D. The sensors system, consisting of a multispectral camera and a RGB-D sensor, can be embedded on a ground robot or other terrestrial vehicles. Experiments conducted in the vineyard field demonstrate that agronomic analyses are allowed.

关键词： Agricultural Robotics Precision Viticulture Multispectral Imaging Image Registration 3D Point Cloud

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Implementation of Lightweight PRNG on PLC for Industrial control Systems

Implementation of Lightweight PRNG on PLC for Industrial Con...

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Intelligent Cybernetics Technology & Applications (ICICyTA), international conference on

作者： Andi Sama Ford Lumban Gaol Suhono Harso Supangkat Benny Ranti Computer Science Department Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Digital Communication and Hotel & Tourism Institute of Technology Bandung Bandung Indonesia Faculty of Computer Science Universitas Indonesia Depok Indonesia

The Information Technology/Operational Technology convergence towards Industry 4.0 opens the opportunity to leverage recent advancements in Information Technology for Operational Technology, such as Cloud, Internet of Things, and Artificial Intelligence. Meanwhile, cyber-attacks are increasing for Operational Technology. The security aspect in Operational Technology systems has traditionally been a low priority, in contrast with speed. This introduces challenges as Industrial control Systems such as Programmable Logic controller in Operational Technology have been traditionally optimized for speed rather than security due to limited computing power. As computations need to be as efficient as possible, security in Operational Technology has yet to be managed as robustly as in Information Technology. Operational Technology communication protocols for securing data transfer, for example, have no or just a few security capabilities, even for basic authentication and encryption. Common security algorithms rely on random numbers. However, Random Number Generator is not usually part of standard functions in Programmable Logic controllers, the core control component in Industrial control Systems. In Industrial control Systems, the Random Number Generator is mostly implemented as a software-based Pseudo Random Number Generator. This paper shows how to apply a Pseudo Random Number Generator in a Siemens Compact PLC S7-1200 using a modified lightweight XORshift algorithm. The XORshift algorithm can generate better randomness than the system’s clock-based implementation in the Siemens Library of Generic Functions.

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