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检索条件"任意字段=International Conference on Advances in Intelligent Control and Computer Engineering"

共 47494 条记录，以下是4961-4970 订阅

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Automated People Counter for Restricted Capacity Monitoring on Philippine Public Utility Bus

Automated People Counter for Restricted Capacity Monitoring ...

引用

2023 IEEE international conference on Automatic control and intelligent Systems, I2CACIS 2023

作者： Chan, John Neil M Guico, Maria Leonora C De Guzman, Carlos Gabriel P Galicia, Jan Kevin A Ateneo de Manila University Department of Electronics Computer and Communications Engineering Quezon City Philippines

ISBN: (纸本)9798350321302

The ability to inform transportation businesses and regulatory bodies about the demand for transportation services and how resources may be best deployed to meet this need is strategic to resource allocation and planning of national transportation system. Case in point, the pandemic has forced the government to reevaluate the number of utility buses and its ridership and implement various restrictions and regulations within society. One of the restrictions that is often affected is the seating capacity for Public Utility Vehicles. This study provides a proof of concept to an easier and more efficient way to be able to monitor capacity in a Public Utility Bus through the use of a people counter. Photoelectric sensors will be used to monitor the number of people entering and exiting the bus with information being uploaded to ThingSpeak while also being displayed onboard using an LCD. The system is capable of bi-directional counting through the use of two pairs of sensors and will work most accurately when the sensor pairs are at a distance of at least 12 cm from each other and passengers will board and depart in intervals of one second or greater. © 2023 IEEE.

关键词： Buses

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Design of Intentional Eye-blink Signal Acquisition and control System Based on Pressure Sensor 7

Design of Intentional Eye-blink Signal Acquisition and Contr...

引用

7th international conference on intelligent Computing and Signal Processing, ICSP 2022

作者： Shao, Xueqi Ning, Haonan Yang, Wenjun Niu, Yafeng Southeast University School of Mechanical Engineering Department of Industrial Design Nanjing China National Key Laboratory of Science and Technology on Aircraft Control Xi'an China

ISBN: (纸本)9781665478571

Eye-blink control means that users blink intentionally to realize human-computer interaction. An intentional eye-blink signal acquisition and control system based on flexible pressure sensor is designed, which aims to control the object through simple eye movements such as blinking and winking. The system uses two pressure sensors to collect the blink signals at the orbicularis oculi muscles of the left and right eyes respectively. The software part realizes the acquisition and recognition of six intentional eye-blink signals, and transmits blink-control instruction signals through Bluetooth, so as to realize the control of the remote-controlled vehicle. The advantage of this system is that it is not affected by illumination and does not need GUI interface for control. The availability of the system is qualified after system test. © 2022 IEEE.

关键词： Human computer interaction

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A Novel Image Encryption Technique Based on DNA Theory and Chaotic Maps 5th

A Novel Image Encryption Technique Based on DNA Theory and C...

引用

5th international conference on Communication and intelligent Systems, ICCIS 2023

作者： Verma, Kartik Singh, Butta Singh, Manjit Kour, Satveer Sarangal, Himali Department of Engineering and Technology Guru Nanak Dev University Regional Campus Jalandhar India Department of Computer Engineering and Technology Guru Nanak Dev University Amritsar India

ISBN: (纸本)9789819720781

High inter- and intra-pixel redundancy and correlation among adjoining pixels of digital images make it crucial to secure during transmission over private channels. Here, we have exploited the chaotic and DNA theory to design a secure and robust image encryption approach. The characteristics including pseudo-randomness and ergodicity make chaotic systems to employ for image cryptography. Chaotic theory and DNA operations are employed in confusion and diffusion stages of image encryption, respectively. The control parameters of chaotic maps will be considered as a security key. Performance of the projected method is evaluated using entropy analysis, histogram analysis, and correlation matrices. The proficiency of the technique is also justified with prevailing techniques using various evaluation parameters. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： DNA

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Research on Adaptive control Method of Wing Morphing Aircraft Based on Neural Network

Research on Adaptive Control Method of Wing Morphing Aircraf...

引用

international conference on Guidance, Navigation and control, ICGNC 2022

作者： Ma, Shuang Liu, Xiaodong Gao, Bo Beijing Aerospace Automatic Control Institute Beijing100854 China Science and Technology on Aerospace Intelligent Control Laboratory Beijing100854 China

ISBN: (纸本)9789811966125

According to the different requirements during the flight period of wing morphing aircraft, it deforms the wing to adjust the flight speed and body attitude, which causes the change and also the uncertainty of the model structure and parameters. A dynamic inversion PID attitude controller on basis of the wing morphing aircraft model is designed by using the principle of dynamic inverse control and the principle of time-scale decomposition. Furthermore, a kind of attitude control system structure that uses neural network to adjust PID parameters adaptively is proposed to establish an adaptive PID tracking controller for morphing aircraft, which improves the intelligent level of the design process. It is shown by the computer simulation results that, the proposed adaptive control method has the ability to adjust and stabilize the attitude angle of wing morphing aircraft at the desired attitude angle efficiently and quickly in a shorter time than the original control method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： controllers

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Real-Time Services Robot with an intelligent System Based on a Radio Frequency Identification Unit 17

Real-Time Services Robot with an Intelligent System Based on...

引用

17th international conference on Developments in eSystems engineering, DeSE 2024

作者： Al Mashhadany, Yousif Al-Askari, Mohanad A. Al-Ani, Abdullah Alani, Taisir Ahmed Yaseen Dawod Algburi, Sameer Department of Electrical Engineering University of Anbar Anbar Iraq Information Systems Department University of Anbar Baghdad Iraq Computer Network Department University of Anbar Anbar Iraq College of Engineering Al-Kitab University Kirkuk Iraq

ISBN: (纸本)9798350368697

Technological developments have come a long way in developing service robots and employing them to serve human needs to the fullest extent. Communication between the robot and its user is the most important aspect, and developing a system to train robots and provide them with the necessary capabilities to accomplish specific tasks is important for creating a suitable service robot. This work provides solutions to most of the challenges in developing such systems using smart systems that can implement multiple and complex commands in a short and appropriate time, such as matching data outputs with what is examined by these systems. For this reason, (RFID) was used to compare data and give commands so that the robot can move in complex environments. Another challenge to consider is keeping the robot on the specified path without deviating from its specified path, so a special sensor was developed to track the robot's deviation and correct the path. Another challenge to consider is if the robot might collide with an object on the path, this problem has been solved by a wireless sensor, all of which is processed and controlled by the microprocessor and motor control unit. Several practical tasks were implemented for the proposed model, and these tasks were in complex and different environments and under difficult conditions. The proposed service robot model was able to implement them with very high accuracy, so it can be relied upon as an advanced service robot model. © 2024 IEEE.

关键词： Radio frequency identification (RFID)

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STAR-RIS-enabled UAV Wireless Systems: A Stochastic Geometry Approach

STAR-RIS-enabled UAV Wireless Systems: A Stochastic Geometry...

引用

2024 international conference on Advanced Technologies for Communications, ATC 2024

作者： Nauven, Khac-Tuan Vo, Thai-Hoc Le, Hai-Chau Kim, Sunghwan University of Ulsan Department of Electrical Electronic and Computer Engineering Korea Republic of Posts and Telecommunications Institute of Technology Hanoi Viet Nam School of Electronic Engineering Kyonggi University Korea Republic of

ISBN: (纸本)9798350353983

The recent deployment of unmanned aerial vehicles (UAVs) to enhance network coverage has emerged as an essential enabler in the beyond fifth-generation and sixth-generation (6G) communication paradigms. Moreover, advances in metasurfaces, i.e. reconfigurable intelligent surfaces (RISs), are expected to significantly enhance 6G wireless communications by enabling a smart radio environment through passive subwavelength scat-tering. RISs which are capable of transmitting and reflecting signals simultaneously, so-called STAR-RISs, have emerged as a promising solution, offering 360° wireless coverage and serving users on both sides of the transmitter, unlike traditional RIS which only reflects signals. This paper investigates a stochastic geometry approach for STAR-RIS-enabled unmanned aerial vehicle-assisted wireless systems, where a UAV communicates simultaneously with two users via the aid of a STAR-RIS. To evaluate system performance, we approximate the probability density function (PDF) and cumulative distribution function (CDF) of the received channel gains based on random variable approximation theory. Accordingly, two performance metrics, outage probability and ergodic capacity, are derived. Extensive simulations verify the accuracy of our theoretical analysis. Notably, numerical results indicate that increasing the number of STAR-RIS elements can help the system overcome performance disadvantages when expanding the UAV's movement area. © 2024 IEEE.

关键词： Distribution functions

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Industrial 5.0 Aquaponics System Using Machine Learning Techniques 7

Industrial 5.0 Aquaponics System Using Machine Learning Tech...

引用

7th international conference on Electronics, Communication and Aerospace Technology, ICECA 2023

作者： Venkatraman, M. Surendran, R. Saveetha School of Engineering Department of Computer Science and Engineering Saveetha Institute of Medical and Technical Science Chennai India

ISBN: (纸本)9798350340600

Due to the advancements in digital technology, the fifth industrial revolution, also known as aquaponics, has brought changes in the traditional manufacturing and industrial processes. The primary objective of the industry 5.0 initiative is to encourage customization and innovation while simultaneously increasing the productivity, efficiency, and adaptability of manufacturing processes. The industry's coming to terms with the 5.0 vision is underpinned by machine learning. It makes it possible for machines and systems to see patterns in data, make decisions based on that data, and learn without having to be explicitly programmed. Algorithms that learn from machines are able to analyze vast amounts of data collected from sensors, machines, and other sources in order to make predictions, improve processes, and acquire insights. This capacity has applications in a variety of domains, including quality control, predictive maintenance, supply chain optimization, process optimization, and autonomous robots. Machine learning-based predictive maintenance reduces downtime and optimizes maintenance schedules by detecting industrial equipment faults. Machine learning-powered quality control systems monitor manufacturing, identify errors, and ensure product quality. U sing machine learning algorithms on supply chain data improves inventory management, logistics, and efficiency. Process optimization uses machine learning to find trends in production data to improve efficiency and energy use. Machine learning-enabled autonomous robots and intelligent decision- making systems help humans complete complicated tasks safely and efficiently. Aquaponics is a major step toward a more connected, intelligent, and data-driven industrial landscape. © 2023 IEEE.

关键词： Decision making

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Recognition and Classification of Diabetic Retinopathy using Retinal Fundus Images 13

Recognition and Classification of Diabetic Retinopathy using...

引用

13th international conference on advances in Computing, control, and Telecommunication Technologies, ACT 2022

作者： Anand, M. Meenakshi Sundaram, A. REVA University Bengaluru India Department of Information Science & Engineering GSSS Institute of Engineering &Technology for Women Mysuru India School of Computer Science & Engineering REVA University Bengaluru India

ISBN: (纸本)9781713857938

Diabetic Retinopathy which impacts the retinal part in the eye because of high sugar degree in the blood. Which reasons retinal damage in the eye leads to complete vision loss. Our intention is to broaden a device as a way to pick out patients with Diabetic Retinopathy using retinal fundus pix. For the diagnosis of diabetic retinopathy, picture pre-processing and characteristic extraction of the diabetic retinal fundus image are performed. © Grenze Scientific Society, 2022.

关键词： Eye protection

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Research on computer Simulation of Pressure Difference of Tobacco Machinery Single-Stage Axial Flow Vane Fan 5

Research on Computer Simulation of Pressure Difference of To...

引用

5th international conference on Robotics, intelligent control and Artificial Intelligence, RICAI 2023

作者： Guo, Dayong Zhang, Yulong Fu, Shaochun Li, Pengyang Guo, Shuai Zhang, Dehai Golden Leaf Production and Manufacturing Center of China Tobacco Henan Industrial Co. Ltd Zhengzhou China School of Mechanical and Electrical Engineering Zhengzhou University of Light Industry Henan Province Zhengzhou City China

ISBN: (纸本)9798350357950

Fan is a kind of machinery used to transport gas, mechanical energy from the outside, in the fan to transfer gas into gas energy, to overcome the flow resistance to push the gas forward, so it is also called the fan for the transfer and conversion of energy machinery. It is widely used in other fields such as the tobacco field. According to the working principle, fans can be divided into blade fans and positive displacement fans, and the single-stage axial flow fans in this article belong to blade fans. In this paper, Cfturbo software is used to design the impeller of the axial flow fan, and ANSYS fluent software is used to conduct simulation, mainly discussing the change law of the pressure difference between the inlet and outlet of the axial flow fan under the condition of different number of blades. The final conclusion is that the more the number of blades is determined under other working conditions. The greater the pressure difference between the inlet and outlet of the single-stage axial fan. © 2023 IEEE.

关键词： axial fan number of blades pressure difference

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Demonstration of a Highly Developed CNN-SVM Model to Accurately Assess the Degree of Brown Rot in Orange Leaf 4

Demonstration of a Highly Developed CNN-SVM Model to Accurat...

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4th international conference on advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Tanwar, Vishesh Anand, Vatsala Aggarwal, Priyanshi Kumar, Mukesh Chitkara University Chitkara University Institute of Engineering and Technology Punjab 140401 India Graphic Era Hill University Computer Science and Engineering Uttarakhand Dehradun248002 India

ISBN: (纸本)9798350343670

Through the use of a combination Convolutional neural network, also known as CNN, and a Support Vector Machine (SVM) model, this investigation tackles the significant problem of Brown Rot intensity in the leaves of orange. A detailed assessment of the model's effectiveness over a variety of severity levels is presented in this paper. The assessment makes use of precision, recall, F1-score, and overall accuracy measures. Based on the findings, it seems that the model is successful in properly assessing the degree of brown rot infection in orange leaves. In terms of severity level 1, the model obtains a precision of 95%, a recall of 97%, and an F1-score of 96%, resulting in an overall accuracy of 97%. A precision of 94%, a recall of 96%, and an F1-score of 95% are all shown by severity level 2 in terms of accuracy. A reliability rating of 97%, a recall of 93%, and an F1-score of 94.5% are all shown by the model when it is applied to severity level 3. An accuracy of 96%, a recall of 98%, and an amazing F1-score of 97% are all shown by the severity level 4, which is the most severe level. It has been observed that the overall accuracy across all severity levels amounts to 97%. These results provide further evidence that the hybrid CNN-SVM model is effective in accurately classifying the severity of Brown Rot, hence emphasizing the potential of the method for usage in agriculture precision and making crops lifehealthy disease control. © 2024 IEEE.

关键词： agriculture Brown rot CNN Deep-learning hybrid model healthy Orange Diseases severity Plant Disease SVM

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