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Sliding Mode control for the Satellite with the Influence of Time Delay

Sliding Mode Control for the Satellite with the Influence of...

引用

Sciences and Techniques of Automatic control and computer Engineering MI-STA, IEEE international Maghreb Meeting of the conference on

作者： Ali S. Elmulhi Ahmed J. Abougarair Electrical & Electronics Engineeing University of Tripoli Tripoli Libya

The sliding mode controller is a highly effective nonlinear control design approach that can enhance system performance and robustness. The core concept of this approach is to drive the state variables of the system toward a sliding surface that represents the desired location. This study focuses on designing a sliding mode controller to improve the tracking performance and achieve stability for the desired Euler angles (pitch, yaw, and roll) of a satellite. Nonlinear simulations are conducted to investigate the robustness of the sliding mode control design method under the influence of coupling due to pitch, yaw, and roll rates, as well as time delay through the feedback angles. The convergence of the rate of change of the Lyapunov function to zero is demonstrated to ensure system stability. The simulation results highlight the effectiveness of the sliding mode controller in suppressing the impact of time delay dynamics, in contrast to the classical proportional derivative control design approach, which results in instability. Overall, the study showcases the potential of the sliding mode controller to improve system performance and robustness in nonlinear control systems.

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Implementation of Emotion Based Multifaceted Recommendation System

Implementation of Emotion Based Multifaceted Recommendation ...

引用

Disruptive Technologies (ICDT), international conference on

作者： Arun Kumar Supriya Kiran Mayank Raj Department of Computer Science & Engineering GL Bajaj Institute of Technology & Management Greater Noida Department of Computer Science & Engineering JSS Academy of Technical Education Noida

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

In recent years, human emotion has become extremely important. Emotion communicates a person's distinctive behaviors, which can take many various forms. This paper, proposed an algorithm to identify emotions based on hand gestures and facial features of people and recommended books, music and quote based on the emotions found. The data collection and dataset using libraries such as numpy, media pipe, and cv2 for emotion identification. Pygame & Tkinter are used to provide music recommendations. Quote and books Api are used to provide the book and quote recommendation. A device like internal camera is used to record hand gestures and facial expressions. On the input face photos, feature extraction is done to identify emotions including happiness, rage, sadness, surprise, etc. The computational time required to produce the findings and the overall cost of the system are both likely to be reduced by our proposed approach, boosting the system's overall accuracy.

关键词： Hands computer vision Reviews Mood User interfaces Media Cameras Libraries Recommender systems Faces

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Functional simulation of real-time quantum control software 3

Functional simulation of real-time quantum control software

引用

3rd IEEE international conference on Quantum Computing and Engineering (QCE)

作者： Riesebos, Leon Brown, Kenneth R. Duke Univ Dept Elect & Comp Engn Durham NC 27708 USA

ISBN: (数字)9781665491136

ISBN: (纸本)9781665491136

Modern quantum computers rely heavily on real-time control systems for operation. Software for these systems is becoming increasingly more complex due to the demand for more features and more real-time devices to control. Unfortunately, testing real-time control software is often a complex process, and existing simulation software is not usable or practical for software testing. For this purpose, we implemented an interactive simulator that simulates signals at the application programming interface level. We show that our simulation infrastructure simulates kernels 6.9 times faster on average compared to execution on hardware, while the position of the timeline cursor is simulated with an average accuracy of 97.9% when choosing the appropriate configuration.

关键词： real-time control software signal simulation software testing quantum computing

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Deep CNN-Based-Flower Species Recognition System

Deep CNN-Based-Flower Species Recognition System

引用

international Scientific conference of Engineering Sciences & Scientific conference of Engineering Science (ISCES)

作者： Saad Albawi Jumana Waleed Ali J. Abboud Department of Computer Engineering College of Engineering University of Diyala Diyala Iraq Department of Computer Science College of Science University of Diyala Diyala Iraq

There are numerous species of flowers worldwide, and these species hold outstanding economic, cultural, and ecological significance in human life. Flower species recognition benefits applications like searching for flowers in digital libraries and floriculture. Recently, with the high advancement in computer vision and deep learning technologies, automated flower species recognition systems have attracted many scientific researchers. Exploiting deep learning to recognize flower species from images accurately represents an existing problem that should be resolved. Therefore, this paper uses various deep convolutional neural network (CNN) approaches like (VGG-19, ResNet-152V2, MobileNet-V2, InceptionResNet-V2, DenseNet-201, and Xception) are carried out to recognize various flower species. The flower images dataset acquired from Kaggle includes five categories and is utilized in the experiments. Among other implemented approaches, DenseNet201 attained the highest results with an accuracy of 94.12%.

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A Novel Mismatching Elimination Algorithm Based on Catadioptric Panoramic Images 3

A Novel Mismatching Elimination Algorithm Based on Catadiopt...

引用

3rd international Academic Exchange conference on Science and Technology Innovation, IAECST 2021

作者： Wang, Wenshuang Liu, Chuanjia Fang, Nuozhou Li, Changsheng CEPREI Guangzhou China Guangzhou Intelligent Equipment Research Institute Co. Ltd. Guangzhou China

ISBN: (纸本)9781665402675

Catadioptric panoramic images are gaining increasingly attention in the field of computer vision. However, these images' characteristics of complex projection imaging and distortion make most mismatiching elimination algorithms difficult to be applied to the ring shaped catadiptric panoramic images directly. In order to solve the above problems, a mismatching elimination algorithm based on azimuthal angles of features is proposed in this paper. The novel algorithm is inspired by the warping visual homing algorithm. It firstly makes use of azimuthal angles of features in one image to estimate the azimuthal angles of their corresponding ones in its matching image. Then it eliminates the matching feature pairs whose azimuthal angle deviation is too large by comparing the estimated value and the actual value. The novel algorithm is proved to be effective by extensive experiments based on panoramic image databases. © 2021 IEEE.

关键词： computer vision

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Identification of Different Types of Buffalo Using YOLO Algorithm Based on computer vision

Identification of Different Types of Buffalo Using YOLO Algo...

引用

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

作者： Joshua Reska Butu Ingrid Nurtanio Ady Wahyudi Paundu Departement of Informatics Hasanuddin University Makassar Indonesia

The purpose of this research is to create a system that can distinguish and correctly label different types of black and white buffaloes, such as Bonga, Saleko, Lotongboko, and buffaloes that are not black and white or other than their species. This research uses classification methods in pattern recognition, training a model to distinguish the different characteristics of each type of buffalo. This model was then used to classify the buffalo species in the images using the YOLO (You Only Look Once) algorithm. The training involved 40 learning iterations. The dataset consisted of 497 buffalo images, each measuring 640 x 640 pixels, which were divided into 442 images for training and 55 images for validation. By the 40th epoch, the model had achieved an overall mAP50 value of 0.959 and mAP50-95 of 0.825. The research shows that the buffalo species detection and classification system achieved optimal performance, demonstrating the effectiveness of the YOLO algorithm in computer vision, achieving 98% accuracy in the identification and labeling of different buffalo species using image analysis and pattern recognition techniques, while the increasing mAP value indicates that the model is still learning and improving its performance with each additional epoch. This study demonstrates the very high accuracy and potential convergence of the model to optimal performance.

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Adaptive control of Data Center Cooling using Deep Reinforcement Learning 3

Adaptive Control of Data Center Cooling using Deep Reinforce...

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3rd IEEE international conference on Autonomic Computing and Self-Organizing Systems (ACSOS)

作者： Heimerson, Albin Sjolund, Johannes Brannvall, Rickard Gustafsson, Jonas Eker, Johan Lund Univ Lund Sweden Res Inst Sweden RISE Gothenburg Sweden Lund Univ Ericsson Res Lund Sweden

ISBN: (数字)9781665451420

ISBN: (纸本)9781665451420

In this paper, we explore the use of Reinforcement Learning (RL) to improve the control of cooling equipment in Data Centers (DCs). DCs are inherently complex systems, and thus challenging to model from first principles. Machine learning offers a way to address this by instead training a model to capture the thermal dynamics of a DC. In RL, an agent learns to control a system through trial-and-error. However, for systems such as DCs, an interactive trial-and-error approach is not possible, and instead, a high-fidelity model is needed. In this paper, we develop a DC model using Computational Fluid Dynamics (CFD) based on the Lattice Boltzmann Method (LBM) Bhatnagar-Gross-Krook (BGK) algorithm. The model features transient boundary conditions for simulating the DC room, heat-generating servers, and computer Room Air Handlers (CRAHs) as well as rejection components outside the server room such as heat exchangers, compressors, and dry coolers. This model is used to train an RL agent to control the cooling equipment. Evaluations show that the RL agent can outperform traditional controllers and also can adapt to changes in the environment, such as equipment breaking down.

关键词： Reinforcement Learning CFD Modeling Datacenter Cooling Adaptive control

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Women and Gender Disparities in computer Science: A Case Study at the University of Padua 23

Women and Gender Disparities in Computer Science: A Case Stu...

引用

3rd ACM conference on Information Technology for Social Good, GoodIT 2023

作者： Fietta, Valentina Navarin, Nicolò Monaro, Merylin Gaggi, Ombretta Department of General Psychology University of Padua Padua Italy Department of Mathematics University of Padua Padua Italy

ISBN: (纸本)9798400701160

This research fits into the scenario of gender disparity in STEM disciplines and aims to identify problems, stereotypes, and gender biases, as well as to highlight solutions to promote gender equality within the Bachelor's degree course in computer Science (CS) at the University of Padua (Italy), considering both the opinions of female and male students. Data collection was carried out through an online questionnaire addressed to students enrolled or previously enrolled in the Bachelor's degree course in CS. The final sample included 167 volunteer participants. The results highlight how girls believe more than boys in the stereotype that women are disadvantaged in the CS field and that their work is not recognized as equal to that of their male colleagues. However, there are encouraging results regarding the decreasing belief that CS is "a man's thing", with a perception of less diffusion among the population. In situations of gender bias, such as feeling devalued and ignored or experiencing sexist comments from fellow students and professors, females report feeling emotionally uncomfortable and not having control of the situation, which could lead them to not react to the discrimination they face. In this scenario, it is important to increase the communicative effectiveness and psychological well-being of female, but also male, students. Finally, several strategies were proposed to promote a peaceful and inclusive university social environment. © 2023 ACM.

关键词： Students

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Design and Implementation of Mars Rover Environment Simulator Based on Cyber Physical Systems 3

Design and Implementation of Mars Rover Environment Simulato...

引用

3rd IEEE international conference on Circuits and Systems, ICCS 2021

作者： Sun, Shuai Gu, Peng Li, Zhiping Hu, Xiaofei Wang, Lei Feng, Yuting Beijing Institute of Control Engineering Beijing China Information Engineering University ZhengZhou China Qian Xuesen Laboratory of Space Technology Beijing China

ISBN: (纸本)9781665412346

In the light of huge manpower, material resources and poor flexibility to build the Martian surface environment on the ground to provide a verification platform for the planetary rover, a design method of Martian environment simulator based on Cyber Physical Systems (CPS) technology is proposed in this paper. On the one hand, it establishes a simulation platform in the digital environment, which is able to change the landform of the environment by adjusting parameters and other conditions to set simulation conditions for the planetary rover flexibly. On the other hand, it can access real products to realize the visual semi-physical simulation and system test of the working process of the planetary rover. By this means, it improves the sufficiency of the ground verification of the rover and reduces the development cost of the rover control system effectively. © 2021 IEEE.

关键词： computer vision

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A Robust Tool to Debloat and Optimize Android Devices 3

A Robust Tool to Debloat and Optimize Android Devices

引用

3rd international conference on Inventive Research in Computing Applications, ICIRCA 2021

作者： Ashref Raj, C. Akilavan, J. Kingsy Grace, R. Sri Ramakrishna Engineering College Dept. of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9780738146270

A Bloatware is software that offers limited functionality at the expense of RAM and CPU cycles. The proliferation of bloatware in Android devices depletes not only hardware resources but also makes them more vulnerable to security and privacy threats. A consumer pays in terms of battery, wasted space, privacy and security compromises. These applications have also been known to be used for computer control and data collection. This, however, has some disadvantages. These bloatwares are often mounted in the device partition, making it difficult to remove them without root access. Each app that has been uninstalled can be reinstalled using the same program. The existing methods of rooting the device is complex and may render the device inoperable if not done cautiously. The proposed 'Android Debloater and Optimizer' uninstall such bloatware without the risk of rooting your device. © 2021 IEEE.

关键词： Android (operating system)

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