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Second-order Consensus in Discrete-time Multi-agent Systems with Reference States 2

Second-order Consensus in Discrete-time Multi-agent Systems ...

引用

2nd Asia conference on Electrical, Power and computer engineering, EPCE 2023

作者： Tan, Aiguo Ju, Changjiang Yang, Yuping Chen, Chongyu Jin, Guobiao University of Shanghai for Science and Technology Public Experiment Center Shanghai China Shanghai Jiao Tong University Ningbo Artificial Intelligence Institute Department of Automation Zhejiang China Consinee Group Co. Ltd Zhejiang China

ISBN: (纸本)9798350310818

In this work, the second-order consensus in discrete-time multi-agent system (MAS) with reference states in which only a part of agents have access to is researched. According to the proposed network topology, it is unnecessary to utilize a spanning tree in the directed graph. First, three different protocols are adopted to demonstrate three typical cases on reference states. Then, necessary sufficient conditions to achieve the required consensus with reference states are derived in MASs. At last, several examples are calculated to verify the proposed theory. © 2023 IEEE.

关键词： Multi agent systems

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Breast Cancer Diagnosis in Radiology Images Using Transfer Learning Technique

Breast Cancer Diagnosis in Radiology Images Using Transfer L...

引用

2023 international conference on New Frontiers in Communication, automation, Management and Security, ICCAMS 2023

作者： Leena Nesamani, S. Lissy, D. Sumathy, S. Rajini, S.Nirmala Sugirtha Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering No.42 Avadi-Vel Tech Road Vel Nagar Avadi Tamil Nadu Chennai600062 India Sir Theagaraya College Pg Department of Computer Science Tamil Nadu Chennai India Dr.MGR. Educational and Research Institute Maduravoyal Department of Computer Applications TamilNadu Chennai600095 India

ISBN: (纸本)9798350317060

Diseases like cancer which are life-threatening needs accurate diagnosing techniques at a very early stage. This research work is focused on identifying one such technique for identifying breast cancers at a very early stage. This work focuses on employing radiology images of breast mammograms using a transfer learning technique, which is a very powerful deep learning technique that has proven to produce excellent results on computer vision projects. As medical data are very sparse and difficult to obtain transfer learning technique is employed where the knowledge gained through a previous task could be transferred to a new task of a different domain. Breast mammogram images were taken from the publicly available Mini DDSM Dataset which consists of breast mammogram images in the Medio Lateral Oblique (MLO) and bilateral Cranio Caudal (CC) views of both thebreasts. Three experiments were performed on the dataset to demonstrate the effectiveness of the technique by choosing three pre-trained models VGG19, ResNet 50, and Xception and the results were compared. The overall performance of the pre-trained models was found to be elevated due to the deployment of a Logistic Regression (LR) classifier. VGG19 pre-trained model proved to produce the topmost result of 88% accuracy on both the training as well as on the validation datasets. The other two pretrained models exhibited a slightly lower performance of ResNet50 with 80% and Xception with 79% accuracy. © 2023 IEEE.

关键词： Diseases

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Blockchain-Based Online E-voting System

Blockchain-Based Online E-voting System

引用

2023 international conference on Smart Computing and Application, ICSCA 2023

作者： Ali, Youssef Abdelrahman Fekry Ahmed, Omar Tarek Mohamed Diab, Mohamad Ahmad Mohamad Sayed, Mohamed Abd Elhalim Abd Elaziz, Mohamed Khaled Aboshosha, Bassam.W. Higher Institute of Engineering El-Shorouk Academy Department of Communication and Computer Engineering El-Shorouk City11937 Egypt

ISBN: (纸本)9798350347050

Recently, blockchain technology has become popular. Through a highly secure, decentralised system enabled by this technology, anyone can interact securely without the need for a middleman. Machine learning can help with many of the constraints that blockchain-based systems have in addition to its own strengths. Blockchain technology and machine learning together have the potential to produce very effective and beneficial outcomes. Hence, when blockchain and ML converge, they surely would benefit from each other. Blockchain can enhance the security of ML platforms, and ML can provide automation and optimization to blockchain solutions. In this work, we advocate the importance of enhancing blockchain with ML algorithms, as a proof of principle we address the issue of secure and intelligent e-voting. The use of blockchain technology has brought tremendous different application domains, e-voting is one of them. Most existing e-Voting systems require central authority during the process of authentication and verification of the voter. In this paper, we propose a safe online voting approach based on blockchain and ML to provide a solution to this issue. We use blockchain to ensure integrity and transparency of the votes, and ML for automating the verification process of eligible voters based on AI-for face authentication. The proposed solution offers automation, security, and mobility to the voting system. © 2023 IEEE.

关键词： E-learning

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Prediction of Performance Degradation Trends of Turnout Machine Based on Autoencoder and TCN Network 7

Prediction of Performance Degradation Trends of Turnout Mach...

引用

7th international conference on Electrical, Mechanical and computer engineering, ICEMCE 2023

作者： Li, Yanwen Zhang, Youpeng Yang, Ni Lanzhou Jiaotong University School of Automation and Electrical Engineering Gansu Lanzhou China

ISBN: (纸本)9798350382877

In response to the frequent failures of turnout machines, which make it difficult for on-site staff to predict these failures, this paper proposes a method for predicting the performance degradation trend of turnout machines based on Autoencoder (AE) and Temporal Convolutional Network (TCN). First, time-domain, frequency-domain, and time-frequency features of the turnout machine's action power data are extracted to construct a feature vector set that reflects the degradation process of the turnout machine. KPCA is utilized to remove redundant information present in multiple-domain features. A Healthy Indicator (HI) is constructed based on the AE network. Subsequently, a performance degradation prediction model based on TCN is built to achieve the prediction of the turnout machine's degradation trend. The effectiveness of the method is verified using on-site datasets. The outcomes demonstrate that KPCA successfully reduces the feature set from 22 dimensions to 2 dimensions, retaining 81.33% of the information from the original optimal feature set. Additionally, the approach of constructing a healthy indicator based on the AE network proves to be effective. The generated healthy indicator accurately reflects the degradation process of the turnout machine's performance over time. The model developed using the TCN algorithm accurately forecasts the performance degradation of the turnout machine. This model outperforms prediction models constructed based on LSTM networks and GRU networks in terms of prediction accuracy. This method is generally applicable and has practical guidance for on-site maintenance. © 2023 IEEE.

关键词： Forecasting

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Comparison and Analysis of Laser Filling Algorithms 4

Comparison and Analysis of Laser Filling Algorithms

引用

4th international conference on Communications, Information System and computer engineering, CISCE 2022

作者： Liu, Yuxi Wuhan University of Technology School of Automation Wuhan China

ISBN: (数字)9781665498487

ISBN: (纸本)9781665498487

The laser marking technology integrates Laser Technology, computer Technology and Mechatronics Technology. In this paper, we design the sawtooth parallel trajectory generation algorithm, the contour parallel trajectory generation algorithm and the pixel model algorithm for the laser marking trajectory model. For three different marking modes, this paper compares and discusses the time-consuming situation of their respective algorithms. Based on the sawtooth parallel traj ectory generation algorithm, this paper proposes that finding the best angle of the workpiece can significantly improve the efficiency of the algorithm and make the marking path more efficient. © 2022 IEEE.

关键词： Trajectories

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FINDING CHAIN NETS OF SOLIDS FOR 3D PRINTABILITY

FINDING CHAIN NETS OF SOLIDS FOR 3D PRINTABILITY

引用

ASME international Design engineering Technical conferences / computers and Information in engineering conference (IDETC-CIE) / 49th Design automation conference (DAC)

作者： Lawrence, Matthew Tomlinson, Scott Khoda, Bashir Univ Maine Dept Mech Engn Orono ME 04469 USA Univ Maine Adv Struct & Composites Ctr Orono ME 04469 USA

ISBN: (纸本)9780791887318

3D-printing or additive manufacturing (AM) can be a size-constrained and time-consuming manufacturing method compared to those traditionally used. Printing larger structures as a net could be a possible solution to this limitation. The intent behind this work is to establish a methodology for creating 3D structures with discretized planner segments using smaller printer envelopes. Nets of solids are capable of folding into an enclosed body from coplanar shapes. Nets can be utilized to create larger objects not otherwise possible due to space limitations in manufacturing methods. Chain nets are particularly useful for AM, which can avoid collision between the segmented part net and printer topology. To prevent interference with the printer, the shape must be unfolded in a chain net. Unfolding algorithms of this type can be simplified to a Hamiltonian pathfinding problem. This method can be particularly useful when used in conjunction with printing on a flexible substrate, i.e., fabric. Larger solids can be created by printing each side separately and using the fabric as a joint between the faces. When the sides of the solids are printed, the print bed no longer limits the size of solids that can be manufactured. This would also allow collaborative printing with multiple printer platforms to print different faces of the net simultaneously.

关键词： Algorithms computer-Aided Design

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An Automatic Temperature Control System in Intelligent Buildings Using SoC 5

An Automatic Temperature Control System in Intelligent Build...

引用

2023 5th international conference on Artificial Intelligence and computer Applications, ICAICA 2023

作者： Lan, Yunhao Han, Zengxiang Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States

ISBN: (纸本)9798350323313

System-on-Chip (SoC) technology is constantly evolving and being applied in various fields such as the Building automation System (BAS). Aiming to improve systems' performance and users' experience, BAS relies on SoC to control the electromechanical systems of intelligent buildings. In order to achieve temperature control, a temperature control system for smart buildings is proposed in this paper, which works in conjunction with air conditioning and windows controlled by direct current (DC) motors. For the purpose of environmental protection and energy saving, opening/closing windows always has a higher priority than open air conditioning. The system achieves temperature monitoring through the indoor and outdoor installation of temperature sensors. Users are allowed to set the desired temperature through a universal asynchronous receiver-transmitter transmitter (UART Tx). In general, the design contains three modules: SoC, external circuit design, and proportional, integral, and derivative (PID) control. All three modules work together to control DC motors to open/close windows at a certain angle with a certain angular speed. The SoC module contains a temperature control unit, a universal asynchronous receiver-transmitter receiver (UART Rx), and a digital-to-analog converter (DAC). The on-chip part of the system passed tests on a Field Programmable Gate Array (FPGA). © 2023 IEEE.

关键词： Intelligent buildings

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A Deep Learning Method to Translate Phonocardiogram (PCG) Signals to Electrocardiogram (ECG) Waveforms 13

A Deep Learning Method to Translate Phonocardiogram (PCG) Si...

引用

13th IEEE international conference on CYBER Technology in automation, Control, and Intelligent Systems, CYBER 2023

作者： Chen, Wei Li, Zhi Zhang, Guanglie College of Computer Science and Software Engineering Shenzhen University Shenzhen China City University of Hong Kong Department of Mechanical Engineering Hong Kong Hong Kong City University of Hong Kong Shenzhen Research Institute Shenzhen China

ISBN: (纸本)9798350315196

In clinical practice, an electrocardiogram (ECG), which analyzes the electrical activity of the human heart, is a common cardiovascular diagnostic test. The ECG data can be stored and diagnosed effectively. However, precise positioning of the ECG electrodes is necessary for a reliable ECG tracing. This has an impact on how ECG monitors are used to check on patients at home. On the other hand, the Phonocardiogram (PCG) is a standard method for quantifying the properties of heart sounds in order to monitor and assess cardiac activity. With the advancement of wearable sensors, it is now simpler to record the heart's sound. We proposed a deep learning approach to translating PCG signals to ECG waveforms. This technique can be utilized to monitor cardiovascular disease in consumer wearable device development. The proposed method is evaluated on a benchmark dataset of normal and anormal cardiac data. Experimental results show that our proposed approach is reasonable and effective. The generated ECG outputs can achieve a high accuracy, and the root mean squared error (RMSE) is 0.053. © 2023 IEEE.

关键词： Electrocardiograms

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A Novel Approach to Improve User Experience of Mouse Control using CNN Based Hand Gesture Recognition 7

A Novel Approach to Improve User Experience of Mouse Control...

引用

2023 7th international conference On Computing, Communication, Control And automation, ICCUBEA 2023

作者： Pame, Yash Gajanan Kottawar, Vinayak G D y Patil College of Engineering Savitribai Phule Pune University Pune India

ISBN: (纸本)9798350304268

This paper presents a method that controls a mouse pointer using hand gestures and further improves the user experience by resolving the issue of mouse displacement due to abrupt hand movement. The approach is capable of detecting a set of predefined gestures such as clicking, scrolling, and dragging, allowing for a more natural and intuitive interaction with the computer. This research includes the study and use of the Mediapipe library, which is used to track the hand. The Mediapipe hand detection model is based on a machine learning algorithm that uses a variant of a SSD architecture, which is trained using a large dataset of hand images. The training data was annotated with bounding boxes that indicate the location of the hands in the images. The model was trained to predict the bounding boxes for the hands in new images using a combination of CNNs and other DL techniques. Using this library, many methods were developed to control the mouse using gestures. However, it has been observed that in existing systems, if hand positions change abruptly, it causes pointer displacement that negatively affects the user experience. The proposed system resolves this issue of mouse pointer displacement to further enhance the user experience in a variety of use cases that require abrupt and natural hand movements during the course of action. The proposed system solves the issue of mouse displacement by tracking the coordinates of hand movement and calculating the new position of the mouse pointer using the distance moved by the hand, rather than just using the position of the hand with respect to the screen. Using this method, the user can also control the mouse using a small part of the camera's wide angle to map it on any point on the screen. Experimental results show that the proposed solution is effective and efficient in terms of user experience in controlling the mouse pointer and holds potential for wider use in a variety of applications of human-computer interaction. ©

关键词： CNN computer Vision Hand Gesture Human computer Interaction Mediapipe Mouse Control Virtual Mouse

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Fast-charging capability versus energy density - a parametric study using a multi-dimensional lithium-ion cell model

Fast-charging capability versus energy density - a parametri...

引用

2023 international conference on Electrical, computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Fill, Alexander Kopp, Mike Hemmerling, Jessica Baazouzi, Sabri Tendera, Luca Birke, Kai Peter University of Stuttgart Electrical Energy Storage Systems Stuttgart70569 Germany Fraunhofer Institute for Manufacturing Engineering and Automation Ipa Stuttgart70569 Germany Mercedes-Benz Group Ag Research and Development Stuttgart70372 Germany

ISBN: (纸本)9798350322972

As a result of the steadily increasing market share of battery-electric vehicles, the demands on the battery system in terms of range and fast-charging capability are becoming tougher in order to meet customer needs. Depending on the design of the cell and the electrodes in particular, the lithium-ion cell can be optimized in terms of its energy and power density, but the two parameters are generally in conflict. This paper therefore addresses the influence of electrode thickness, porosity, and porosity-layered electrodes on fast-charging capability and energy density. For this purpose, a three-dimensional electrical and thermal model is implemented, which is parameterized and validated based on a high-energy cylindrical cell (NMC 811 - Graphite-Si). To simulate the electrical behavior, a half-cell Equivalent Circuit Model is used. Starting from the reference cell, different electrode structures are investigated in terms of their fast-charging capability and energy density with the objective of finding an optimal combination of energy and power density. © 2023 IEEE.

关键词： Porosity

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