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Design and Development of Soil Monitoring System for Precision Farming On Small-Scale Outdoor Farm 3

Design and Development of Soil Monitoring System for Precisi...

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3rd international conference on Smart Cities, automation and intelligent Computing systems, ICON-SONICS 2023

作者： Saputra, Dezdyta Poszarevac Nugraha, M.B. Tampubolon, Marojahan Arhan, Kahfi Sabillah Universitas Multimedia Nusantara Electrical Engineering Tangerang Indonesia

ISBN: (纸本)9781509062805

The agricultural sector is of paramount importance in enhancing the national economy and serving as a primary food source. Given the limited availability of arable land, there is a pressing need to enhance agricultural productivity through precision agriculture to provide affordable food source. Precision agriculture aims to optimize the timing, quantity, and location of farming practices. Nevertheless, the full potential of agricultural technology innovations is yet to be harnessed by farmers, resulting in suboptimal utilization of these technologies. To address this issue, there is a growing imperative to monitor plant health and crop production in real-time using sensors and agricultural technology. Therefore, a tool has been developed to enable comprehensive plant health measurements, encompassing parameters such as ambient temperature, soil moisture, air humidity, light, CO2 levels, and the levels of essential nutrients, namely Nitrogen, Phosphorus, and Potassium (NPK). This data is seamlessly processed by the Node-RED server, which presents the sensor parameter information through visually appealing graphs and icons. This intuitive data presentation empowers users to gain a profound understanding of the information and conduct in-depth analyses of plant condition and nutritional aspects. The tool showcased in this product exhibits an impressive success rate of 100% in delivering on these objectives. © 2023 ieee.

关键词： Agricultural technology

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Unified AI-Based Biometric Authentication: A Low-Power, High-Security Solution

Unified AI-Based Biometric Authentication: A Low-Power, High...

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2024 international conference on Innovative Computing, intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Vaishnavi, T. Rekha Nalini, N. Dinesh, M. Giri, Pallavi Kanan, Mohammad Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Ece Chennai India S. A. Engineering College Department of Ece Chennai India Department of Vlsi Microelectronics Chennai India Laxminarayan Innovation Technological University Department of Civil Engineering Nagpur India College of Engineering University of Business and Technology Department of Industrial Engineering Jeddah21448 Saudi Arabia College of Engineering Zarqa University Department of Mechanical Engineering Zarqa Jordan

ISBN: (纸本)9798331543617

The rapid advancement of smart home technology has revolutionized the way we approach residential security. As traditional locking mechanisms become increasingly vulnerable to sophisticated attacks, the need for innovative and robust security solutions has never been greater. This paper introduces an advanced intelligent door lock system designed to meet the increasing demands for secure and efficient access control. The system integrates cutting-edge hardware components such as the ESP32 microcontroller, OLED display, Wi-Fi module, and specialized recognition devices including a fingerprint scanner, facial recognition camera, and voice recognition module. These components work in synergy to offer robust biometric authentication capabilities, enhancing both security and user convenience. The system's software architecture utilizes optimized algorithms for each biometric modality, ensuring reliable performance under varying environmental conditions. Central to its operation is the Unified Multimodal Biometric Integration Algorithm (UMBIA), which combines fingerprint, facial, and voice recognition data into a unified feature vector. This algorithm employs machine learning classifiers to evaluate the fused features against stored templates, ensuring high accuracy and adaptability. The proposed system represents a significant advancement in access control technology, promising enhanced security and seamless integration with smart home ecosystems. © 2024 ieee.

关键词： Locks (fasteners)

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2023 2nd international conference on Robotics, Artificial Intelligence and intelligent control, RAIIC 2023

2023 2nd International Conference on Robotics, Artificial In...

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2nd international conference on Robotics, Artificial Intelligence and intelligent control, RAIIC 2023

ISBN: (纸本)9798350328004

The proceedings contain 72 papers. The topics discussed include: intelligent unmanned aerial vehicle flight control and task execution system;research on external damage detection of transmission line in complex background;low SNR FM signal preprocessing method based on low-order cyclic statistics and WVD distribution;a modified U-Net with dilated convolution and CBAM;rotating 3D laser mapping system for multi-rotor drones;a dual-arm handling robot for nuclear emergency tasks;multi-robot cooperative search for radioactive sources based on improved particle swarm optimization;design of active disturbance rejection attitude controller for tethered UAV with parameter tuning;design and implementation of a three-degree-of-freedom intelligent logistics robot;research on obstacle avoidance planning of soft robotic arm based on the idea of cutting-edge growth;and a force-aware reproduction-based workspace mapping method for human-computer cooperative systems.

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Design of University Innovation and Entrepreneurship System Based on Cloud Model Data Mining Algorithm

Design of University Innovation and Entrepreneurship System ...

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2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Ma, Yingying Shandong Institute of Commerce and Technology Shandong Jinan250103 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

This article delves into the design and implementation of innovation and entrepreneurship systems based on cloud model data mining algorithms in university environments. Firstly, through in-depth communication with stakeholders such as university management, teachers, and students, a comprehensive analysis and planning of the system's requirements were conducted. Next, the article provides a detailed description of the system architecture design, including key components such as data collection and management, data preprocessing, cloud model data mining, user interface, reporting and visualization, security and privacy protection, as well as user feedback and support. During the system development process, emphasis was placed on the design principles and construction of cloud model data mining algorithms, as well as the optimization measures taken to improve system efficiency and accuracy. The system implementation process follows a series of strategies, including preliminary planning, system development, data preparation and migration, system integration, user training, as well as system deployment and continuous maintenance. Each stage is carefully designed and executed to ensure the effectiveness and reliability of the system. After implementation, a comprehensive performance evaluation of the system was conducted, including accuracy, efficiency, and user satisfaction. The results showed that the system performed well in multiple aspects, but also pointed out some areas that needed improvement. Finally, the article summarizes the main advantages and limitations of the system, and puts forward suggestions for future work directions, including further optimizing user experience, algorithm performance, and expanding application scope. This study provides an efficient and reliable data support and decision-making assistance tool for innovation and entrepreneurship activities in universities, which is of great significance for promoting the development of the innovati

关键词： Decision making

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Smart Attendance Software by Face Recognition using LBPH Algorithm 7

Smart Attendance Software by Face Recognition using LBPH Alg...

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7th international conference on intelligent Computing and control systems, ICICCS 2023

作者： Shanthini, J. Chandrakanth, G. Bharani, V. Jeevanraj, S. Kishor, M. Sri Krishna College of Technology Department of Computer Science and Engineering Coimbatore India Dr. NGP Institute of Technology Kalapatti Road Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350397253

Tracking attendance during a presentation in a classroom is not only a challenging task, but it also takes a lot of time. Due to the exceptionally large number of pupils in attendance, there is always a chance that a proxy may attend the lecture. It has been difficult to employ conventional attendance marking techniques. In face recognition, the demand for effective, automatic methods of recording attendance is on the rise. Conventional biometrics like RFID tags and fingerprints have been used extensively in recent years to solve the issue, but they lack the aspect of dependability. In this research study, an automated attendance marking and management system utilizing face detection and identification algorithms is described. This system's goal is to replace the current techniques with an automated system that uses face recognition technology to track student attendance and provide updates through email and text messages. © 2023 ieee.

关键词： Face recognition

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A Novel 3D Point Clouds Registration Method Without Data Association 20

A Novel 3D Point Clouds Registration Method Without Data Ass...

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20th ieee international conference on Mechatronics and automation, ICMA 2023

作者： Duan, Yu Cheng, Jiajun Li, Xiaofeng Huang, Yulong Harbin Engineering University College of Intelligent Systems Science and Engineering No.145 Nantong Street Nangang District Heilongjiang Province Harbin150001 China

ISBN: (纸本)9798350320831

3D point cloud registration is an essential task for localization and mapping technology, in which a correct data association is necessary for point cloud registration algorithms. However, the data association is time-consuming and prone to mismatching, which degrades the efficiency and accuracy of point cloud registration. In this paper, to solve this problem, a direct 3D point cloud registration method without data association is proposed, in which the relative pose is achieved through extracting and aligning the principal directions of two point-cloud sets. The point clouds are projected into the three principal directions and the variances of projected points are compared to obtain the unique solution. The proposed algorithm can quickly and accurately register any two sets of point cloud data for the same object collected at different locations. Simulation results show that the proposed method can achieve 3D point cloud registration more efficiently and accurately than traditional methods based on data association. © 2023 ieee.

关键词： Surface measurement

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Blockchain with Sand Cat Swarm Optimized Semantic Attentive Mobilenetv3 Model for Smart IoHT System 3

Blockchain with Sand Cat Swarm Optimized Semantic Attentive ...

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3rd ieee international conference on intelligent Techniques in control, Optimization and Signal Processing, INCOS 2024

作者： Nalluri, Mounika Mupparaju, Chinna Babu Rongali, Aruna Sri Bhuvanesh, A. Murray State University Department of Information Technology Murray United States University of Central Missouri Department of Information Technology MO United States University of the Cumberlands Department of Information Technology Williamsburg United States Psn College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu India

ISBN: (纸本)9798350361186

Nowadays, the healthcare (HC) system based on blockchain (BC) assisted internet of things (IoT) has grown a lot in which the medical services are readily accessible to each user via internet sources. However, the HC IoT systems are highly vulnerable to security threats to render the patient's personal health data. Hence, this study put forth innovative optimized Deep learning (DL) model for BC-assisted secure IoT enabled HC system. The developed study undergoes three major stages namely, medical image encryption, optimal key selection, decryption, and disease classification. Initially, the medical image is encrypted and followed by this, optimal key selection process is performed using a novel sand cat swarm optimizer (SCSO). The encrypted medical data is then stored in the BC and decrypted for further process. Finally, semantic attentive mobileNetV3 (SAtt-MNetV3) model is introduced to extract the features and to classify the decrypted health data to the patients. The simulation is carried out on the Python platform and a publicly available ISIC-2017 database is considered for training process. Various existing studies are also compared with the developed model by computing several performance measures like accuracy, computation time, peak to signal noise ratio (PSNR), recall, sensitivity and specificity metrics. The developed methodology obtained the overall accuracy of 99.2%, recall of 98.9%, specificity of 99.5%, PSNR of 60.7 dB and computation time of 0.13 s. The simulation performances outperform well compared to conventional studies. © 2024 ieee.

关键词： Cryptography

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Identifying the Future Trends of Bioregenerative Life Support systems for Space Exploration 15

Identifying the Future Trends of Bioregenerative Life Suppor...

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15th ieee international conference on Humanoid, Nanotechnology, Information technology, Communication and control, Environment, and Management, HNICEM 2023

作者： Arroyo, Carey Louise Concepcion, Ronnie Bandala, Argel De la Salle University Department of Manufacturing Engineering and Management Manila Philippines De la Salle University Department of Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9798350381177

A Bioregenerative Life Support System (BLSS) combines biological, chemical, and physical components to support life. Studies on designing these systems have been done as it shows potential for long-duration space missions. As a complex multi-component system, BLSS has components for water recycling, food production, air management, organic waste recycling, and power generation. This paper focuses on the on two of these components, namely, water recycling and food production. Specifically, this paper provides an overview of the current water recycling and food production systems at the international Space Station. A review of the different groundbased research was also provided. Given the different challenges encountered in space farming, this study recommends further research be done on utilizing fogponics in BLSS as it can help with several issues that long-duration space missions have. Its initial development may be done and tested in Earth-based stations. © 2023 ieee.

关键词： Water recycling

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controller Design and Example Analysis Based on RBF Neural Network Tuning 5

Controller Design and Example Analysis Based on RBF Neural N...

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5th ieee international conference on Civil Aviation Safety and Information technology, ICCASIT 2023

作者： Hu, Jie Zhang, Shengguo Ma, Jiayu Zhu, Jiaran Yu, Changxun Ma, Chao Northwest Minzu University Gansu Engineering Research Center for Eco-Environmental Intelligent Networking College of Electrical Engineering Lanzhou China

ISBN: (纸本)9798350310603

With the increasing complexity of modern industrial processes, the traditional PID control cannot achieve satisfactory results for the nonlinear systems in industrial control. This article studies the structure and calculation methods of radial basis function neural networks, and on this basis, designs a PID controller based on radial basis function (RBF) neural network tuning. Provide examples of secondorder systems and make changes to the parameters of the second-order system. The PID control algorithm tuned by RBF neural network was simulated using simulation software. Through the simulation of the system's stability, robustness, and anti-interference ability, it was verified that the control system has good stability, robustness, and anti-interference ability. © 2023 ieee.

关键词： Three term control systems

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Application of PMS Graphic intelligent Recognition and Analysis Based on Contact Diagram Automatic Generation technology 6th

Application of PMS Graphic Intelligent Recognition and Analy...

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6th international conference on cyber Security Intelligence and Analytics, CSIA 2024

作者： Ma, Wei Li, Qiang Yao, Yuan Chen, Xinkai Power Supply Service Command State Grid Xinjiang Electric Power Co. Ltd. Changji Power Supply Company Xinjiang Changji China

ISBN: (纸本)9783031882869

With the continuous expansion and increasing complexity of the power grid, the traditional method of manually drawing electrical connection diagrams is no longer able to meet the needs of real-time updates and maintenance. This article studies the application of PMS graphic intelligent recognition and analysis based on contact graph automatic generation technology, aiming to improve the efficiency of power grid construction and management. The study adopts the Generalized Chromosomes Genetic Algorithm (GCGA) algorithm, combined with the advantages of graph computing and quantum genetic algorithm, to optimize search efficiency and solution quality through adaptive crossover and mutation rates, as well as grouping competition and optimal selection mechanisms. The research includes steps such as topology data analysis, intelligent layout, and graphic rendering to ensure that the automatically generated contact diagram is both accurate and easy to understand. The experimental results show that the application of automatic generation technology for contact diagrams can achieve a maximum topology integrity of 99.8%, and the time required for data organization, layout optimization, and graphic rendering is significantly faster than traditional manual drawing methods. The system can quickly respond and accurately recover in the face of power grid changes and abnormal situations. These results demonstrate the effectiveness and practicality of automatic generation technology in improving the automation level of power grid management, reducing human errors, and supporting real-time monitoring and rapid fault response of the power grid. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Lean production

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