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Elastic Pyramid Elements for Constructing Spherical Parallel Continuum Robots 7

Elastic Pyramid Elements for Constructing Spherical Parallel...

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7th international conference on intelligent Robotics and control Engineering, IRCE 2024

作者： Duan, Xuyang Yan, Tianyi Wang, Yanjun Chen, Genliang Wang, Hao Shanghai Jiao Tong University State Key Laboratory of Mechanical Systems and Vibration Shanghai China Institute of Marine Equipment Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350352399

This paper proposes a novel approach to designing Parallel Continuum Robots (PCRs) with spherical movement. Pyramid elastic units are used to construct limbs with special kinematic characteristics for the PCR. By developing and characterizing various elastic units with unique mechanical properties based on finite element analysis (FEA), we can identify effective designs for targeted robot motion. The kinetostatics model of the limbs is built based on the compliance analysis of the units, enabling the forward and inverse kinetostatics modeling of the whole robot. A series of 3-rotational PCRs are established using the designed elastic units, and mathematical experiments and simulations are conducted based on the selected units and PCRs. The computational results demonstrate good accordance with numerical analysis outcomes. © 2024 ieee.

关键词： Machine design

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Lane-changing Trajectory Planning of intelligent Electric Vehicle based on Stability Region 6

Lane-changing Trajectory Planning of Intelligent Electric Ve...

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6th CAA international conference on Vehicular control and Intelligence, CVCI 2022

作者： Wang, Fanxun Shen, Tong Ren, Yanjun Yin, Guodong Zhao, Mingzhuo Lu, Yanbo School of Mechanical Engineering Southeast University Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

With the rapid development of intelligent electric vehicles, the technology of lane-changing trajectory planning has become one of the pivotal issues. However, intelligent vehicles have problems of unsafety and conservation, especially in the complex traffic environment such as high speed and emergency collision avoidance, which ignores the dynamic behavior mechanism of the nonlinear system. In this paper, the lane-changing trajectory model is developed based on quintic polynomial;the global feasible region is determined by environmental constraints and stability region constraints;the trajectory multi-objective optimization is carried out based on TOPSIS algorithm;the results of simulation and experiment finally show the feasibility of the trajectory planner. © 2022 ieee.

关键词： Multiobjective optimization

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NLOS Error Suppression Method based on UWB Indoor Positioning 20

NLOS Error Suppression Method based on UWB Indoor Positionin...

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

作者： Zhang, Qing Cheng, Xiao-Chuan Wang, Ke-Xin Cao, Zhi-Wei Hong, Yong Harbin Engineering University College of Intelligent Systems Science and Engineering China Harbin Engineering University Sanya Nanhai Innovation and Development Base China Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing China

ISBN: (纸本)9798350320831

In order to improve the accuracy of Ultra-wide Band (UWB) indoor positioning in Non-line of Sight (NLOS) environment, a UWB indoor positioning algorithm based on Received Signal Strength Indication (RSSI) is proposed to suppress NLOS errors and improve positioning accuracy. Based on the signal strength received by the base station, the NLOS error is discriminated, and based on the discriminated results, the measurements that are less affected by the NLOS error are weighted by a power-square algorithm based on the RSSI difference, the measurements that are more affected by the NLOS error are rejected, and the other measurements are calculated using a power-square weighting algorithm for the residuals to obtain the final positioning results. The experimental results show that the algorithm can effectively suppress NLOS errors and improve localisation accuracy in the NLOS environment. © 2023 ieee.

关键词： Indoor positioning systems

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Revisiting Power System Stability: Definitions And Classifications

Revisiting Power System Stability: Definitions And Classific...

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2023 international conference on Power Energy, Environment and intelligent control, PEEIC 2023

作者： Jaison, Feon Taneja, Neeti Waqar, Musheer Department of Computer Bangalore India Noida Institute of Engineering and Technology Department of Computer Science Engineering Uttar Pradesh Greater Noida India Tula's Institute Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350357769

The dynamic properties of energy systems have gradually changed since the publication of the groundbreaking study on stability in power systems definitions in [reference]. This development is explained by the growing integration of sophisticated transmission devices, varied loads, and converter-interfaced generating technologies. A special Task Force was established in [reference] to examine and broaden the traditional definitions and classifications of terminology related to basic stability, if needed, in light of the importance of this paradigm shift. The goal was to include the effects of electrical devices with fast reaction times. The current paper, which is an excerpt of the ieee PES study, briefly summarizes the main results arising from the Task Force's work. It describes the more precise meanings and categories related to power system stability in the context of the changing environment caused by fast-response power electronics. © 2023 ieee.

关键词： Converter-Interfaced Generation Technologies Fast-Response Power Electronic Devices and Electromechanical Phenomena ieee PES Report Power System Stability Stability Concerns

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Skin Lesion Disease Severity Levels Detection using Convolutional Neural Networks 5

Skin Lesion Disease Severity Levels Detection using Convolut...

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5th international conference on IoT Based control Networks and intelligent systems, ICICNIS 2024

作者： Yadav, Anand Kajal Kukreja, Vinay Swami Vivekanand Institute of Engineering and Technology Punjab Ramnagar India Swift School of Pharmacy Punjab Ghagar Sarai India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798331518097

This study aims to detect the severity levels of Skin Lesion diseases. The study classifies the six different severity levels. Skin, a vital organ, acts as a barrier to external environments. Early detection of skin diseases can improve mortality rates and potentially prevent skin cancer. This early diagnosis is a promising experiment due to its similar appearance. A study was led in the nearby areas of Punjab and Haryana. A complete number of 4,000 pictures has been gathered by utilizing essential and optional assets. The collected data is pre-processed by using data cleaning, data quality evaluation, and data change. Six convolutional layers are utilized in the proposed CNN model. The CNN model recognizes the highlights for infection order. The range of the Fl-Score is from 80.20% of the healthy class to 91.24% The macro average of the F'l-Score is 85.19%. The range of the precision for this confusion matrix is 80.04 to 91.98. A deep learning test is completed by using the Python library brings about a 96% recognition precision. This research study presents a conceptual and thorough analysis of recent research on deep learning-based skin disease diagnosis. Considering the popularity of deep learning, there are still many potential and significant hurdles in the field. © 2024 ieee.

关键词： Convolutional neural networks

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A Study on Asset Identification in Smart Buildings automation systems 14

A Study on Asset Identification in Smart Buildings Automatio...

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14th international conference on Ubiquitous and Future Networks, ICUFN 2023

作者： Park, Minsu Cho, Seong-Je Kim, Hongeun Dankook University Dept. of AI-based Convergence Yongin Korea Republic of Dankook University Dept. of Software Science Yongin Korea Republic of Dongguk University Graduate School of International Affairs & Information Security Jung-gu Korea Republic of

ISBN: (纸本)9798350335385

Smart building automation systems (BASs) are designed to improve the convenience of residents and achieve efficient energy management, resulting in an increase in their components. However, unlike conventional building systems, smart BASs are connected to the Internet, and cybersecurity threats targeting the smart BASs are on the rise. To address this issue, it is essential to identify the assets or devices that make up a smart BASs and mitigate the vulnerabilities in the assets. However, applying asset identification techniques used in traditional information technology (IT) systems to smart BASs is challenging because smart BASs consist of IT, operational technology (OT), and industrial IoT (IIoT) devices. In this paper, we conduct a basic experiment to analyze network traffic of some assets and try to identify each asset in a mini smart building system. We then present the challenges that need to be addressed for effective asset identification in smart BASs. © 2023 ieee.

关键词： intelligent buildings

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On Automatic Generation of Executable Domain Models for Domain-Driven Design 15

On Automatic Generation of Executable Domain Models for Doma...

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15th international conference on Knowledge and systems Engineering, KSE 2023

作者： Le, Van-Vinh Be, Nghia-Trong Dang, Duc-Hanh University of Engineering and Technology Vietnam National University Department of Software Engineering Hanoi Viet Nam Vinh University of Technology Education Department of Information Technology Viet Nam

ISBN: (纸本)9798350329742

Domain-driven design (DDD) aims to iteratively develop software based on a realistic model of the problem domain. This approach requires a thorough understanding of the domain's requirements and ensuring that the implementation is technically feasible for deployment. Currently, such a domain model is often represented using programming languages such as Java and is manually defined by taking as input a specification in natural language and UML/OCL diagrams. It is very tedious to obtain a domain model in that way. This paper introduces a technique to automatically generate a domain model from a high-level specification in the form of UML/OCL diagrams. Specifically, we take as input the Activity diagram, which incorporates a Class diagram to describe the domain, and transforms it into an AGL+ specification. The generated AGL+ specification is executable based on the Java software framework jDomainApp. We develop tool support for our method using the Acceleo transformation language and illustrate our method with a case study. © 2023 ieee.

关键词： Specifications

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Big Data Classification Model and Algorithm Based on Double Quantum Particle Swarm Optimization

Big Data Classification Model and Algorithm Based on Double ...

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2023 ieee international conference on control, Electronics and Computer technology, ICCECT 2023

作者： Jingbo, Duan Guangdong Business and Technology University Guangdong526060 China Philippine Christian University Center for International Education Manila1004 Philippines

ISBN: (纸本)9798350399028

For the traditional big data classification models and algorithms that have the drawback of long processing time, the use of intelligent algorithms to model identification of multivariable systems has become a mainstream research direction. Discussion This paper proposes an efficient solution for data-parallel optimized computing. The problems in the identification of multi-variable systems that integrate historical big data and intelligent algorithms are analyzed, and the impact of input variables on output is quantified. Build a big data classification model, mine valid data points, arrange data combination methods, divide data local connection methods, obtain local node micro-cluster data, calculate redundant data and invalid data increment values in node data groups, and reconstruct central node sample algorithm, adjust the integrated data classification strategy, optimize and update the data integration classification method. Design the experiment, simulate the experimental environment, and verify that the proposed model calculation method can shorten the data processing time in practical application, which has practical research value. Through the design of the overall process of the algorithm, data classification to form a data set, and then describe the steps of the algorithm, and finally verify the feasibility of the algorithm through simulation experiments, which can not only greatly reduce the communication cost between network nodes, but also greatly improve the global mining accuracy and improve the query efficiency in distributed data, It has good utilization value in the analysis of massive data information. © 2023 ieee.

关键词： Big data

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Algorithm and Simulation of Airborne Fire control Aiming Angle Correction

Algorithm and Simulation of Airborne Fire Control Aiming Ang...

引用

2023 international conference on Applied Physics and Computing, ICAPC 2023

作者： Gao, Boyu Xu, Baoshu Zhang, Chengshuo College of Information Science and Engineering Shenyang University of Technology Shenyang China Shenyang Sumboy Intelligent Imaging Technology Co. Ltd. Shenyang China

ISBN: (纸本)9798350359244

Modern warfare is rapidly evolving towards unmanned and intelligent trends. Currently, one of the technical difficulties in unmanned aerial vehicle (UAV) airborne fire control systems is how to accurately and quickly solve shooting data. Therefore, in this paper, we propose a method for onboard fire control calculations based on variable angle integration. First, the ballistic model equations are mathematically transformed to transform the time integration into an angular integration. In each iteration, the target is always treated as a moving state, and the relation between the hit-point distance and the trajectory inclination angle is introduced. The firing elements were modified by Newton descending method. The variable angle integral method reduces the calculation times of the ballistic differential equation and improves the accuracy of the end of the hit point under the same operation conditions. The results of the simulation experiments show that the proposed method is computationally accurate and time-efficient compared to conventional methods, providing some reference for the study of airborne fire control midpoint and firing element calculations. © 2023 ieee.

关键词： Fire control systems

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Knowledge Refinement: An Interpretable Analytics for Travel Behaviors Based on Knowledge automation

Knowledge Refinement: An Interpretable Analytics for Travel ...

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international conference on intelligent Transportation

作者： Peijun Ye Renrui Zhang Shichao Ge State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Institute of Automation Beijing China School of Automation and Intelligence Beijing Jiaotong University Beijing China

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

Travel behavioral analysis is crucial to the demand computation, which underpins traffic planning and optimization of transportation management and control. While traditional methods seek to descriptively learn the travel patterns through behavioral models as well as big data from multiple sources, they perform weak predictive ability of system's evolutionary features. To model and analyze the dynamics of such cyber physical social systems, this paper proposes an interpretable analytical method for travel behaviors based on knowledge automation (named as knowledge refinement). The new approach provides a feasible and reliable methodology for the analytics of heterogenous human participated systems, and is validated using one month's data of public transportation in Beijing. Results indicate that the approach not only has the state-of-the-art “reproductive” ability of actual traffic flows compare with traditional methods, but also can further reveal systemic dynamics with semantics such as the stable or divergent regions.

关键词： automation Computational modeling Semantics Predictive models Big Data Data models Planning Reliability Public transportation Optimization

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