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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

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the design Method of SSVEP Stimulus Source based on Overlooking Map 11

The Design Method of SSVEP Stimulus Source based on Overlook...

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11th international conference on Computing and Pattern Recognition, ICCPR 2022

作者： Wen, Dong Jiang, Mengmeng Jiao, Wenlong Wan, Xianglong Lan, Xifa Zhou, Yanhong Institute of Artificial Intelligence University of Science and Technology Beijing Beijing China School of Information Science and Engineering Yanshan University Qinhuangdao China Department of Neurology First Hospital of Qinhuangdao Qinhuangdao China School of Mathematics and Information Science and Technology Hebei Normal University of Science and Technology Qinhuangdao China

ISBN: (纸本)9781450397056

In the field of brain-computer interface, steady-state visual evoked potential (SSVEP) is widely used because of its stability. Although high-intensity stimulus has good accuracy, it can cause severe visual fatigue and even induce epilepsy in subjects. As well as paying attention to its accuracy, personnel should also pay attention to the comfort of the subject. In this paper, combined with the knowledge of spatial psychology, the overlooking map is proposed as the stimulus source to induce the SSVEP signal. 24 subjects participated in the comparison experiment between the overlooking map and the black and white stimuli, and the EEG signal was processed and analyzed online in real time through the CCA algorithm. Afterwards, the two stimuli were scored in terms of personal preference, comfort, and flickering sensation. the experimental results show that the performance of the overlooking map stimulus source is superior to that of the black and white stimulus, and it is more suitable to induce the SSVEP signal of the subjects. As an important aspect of SSVEP-based application and a necessary factor for commercial promotion, user experience provides a good theoretical and experimental research basis for it. © 2022 ACM.

关键词： Brain computer interface

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Wideband Aperture Coupled Line Feeding Microstrip Patch Antenna design Using Different Shaped Patches

Wideband Aperture Coupled Line Feeding Microstrip Patch Ante...

引用

11th international conference of computer Communication and Informatics (ICCCI)

作者： Abdullah-Al-Mamun, Md Anower, Md Shamim Billah, Md Rashed Datto, Sham Rajshahi Univ Engn & Technol Dept EEE Rajshahi Bangladesh First Capital Univ Bangladesh Dept CSE Chuadanga Bangladesh

ISBN: (纸本)9781728158754

In this paper, a heptagonal shape microstrip patch antenna with aperture coupled microstrip line feeding technology is proposed to enhance the bandwidth. Two dielectric layers with same relative permeability is used among the three metallic layers: radiating patch on the top layer, ground plane with aperture coupling on the middle layer and line shaped feeding structure on the bottom layer. Roger RT/duroid 5880 (tm) with relative permittivity of 2.2 and dielectric loss tangent of 0.0009 is used as a substrate material. Firstly the circular patch and polygonal (i.e., pentagonal, hexagonal, heptagonal and octagonal) patches with aperture coupled are designed and compared to show the performances. Among them, the heptagonal shape patch gets the better performances. this antenna is resonated at 26.80 GHz with a bandwidth of 22.3% (23.46-29.46 GHz) and its return loss, gain, directivity and Voltage Standing Wave Ratio (VSWR) are -23.21 dB, 8.57 dB, 9.14 dB and 1.2 dB respectively.

关键词： Aperture coupled antenna polygonal patches bandwidth gain directivity efficiency

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Sine-Squared Pulse Approximation for Matched Filter design Using Generalized Bessel Polynomials and Particle Swarm Optimization 11

Sine-Squared Pulse Approximation for Matched Filter Design U...

引用

2022 11th international conference on Information and Electronics Engineering, ICIEE 2022

作者： Chutchavong, V. Anuwongpinit, T. Pumee, T. Benjangkaprasert, C. Janchitrapongvej, K. Department of Computer Engineering School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Faculty of Science and Technology South East Bangkok College Bangkok Thailand

this paper presents the study of mathematical characteristics of generalized Bessel polynomial that can be applied to approximate a sine-squared pulse for designing matched filters in communication systems. the proposed pulse can be designed by using the transfer function, in which the numerator is the five pairs of a transmissions zero pairs, and the generalized Bessel polynomial is used as the denominator. A parameters of generalized Bessel polynomials can be adjusted by particle swarm optimization to find the best parameter value. From the simulation results can be found that a parameter can be adjusted. A proposed pulse is close to the ideal response in mainlobe, and one sidelobe to four sidelobes with stability, which outperformed previous research. © Published under licence by IOP Publishing Ltd.

关键词： Matched filters

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FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting 18

FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic...

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18th IEEE/CVF international conference on computer Vision (ICCV)

作者： Fan, Zhiwen Zhu, Lingjie Li, Honghua Chen, Xiaohao Zhu, Siyu Tan, Ping Alibaba AI Labs Hangzhou Peoples R China Simon Fraser Univ Burnaby BC Canada

ISBN: (纸本)9781665428125

Access to large and diverse computer-aided design (CAD) drawings is critical for developing symbol spotting algorithms. In this paper, we present FloorPlanCAD, a large-scale real-world CAD drawing dataset containing over 10,000 floor plans, ranging from residential to commercial buildings. CAD drawings in the dataset are all represented as vector graphics, which enable us to provide line-grained annotations of 30 object categories. Equipped by such annotations, we introduce the task of panoptic symbol spotting, which requires to spot not only instances of countable things, but also the semantic of uncountable stuff. Aiming to solve this task, we propose a novel method by combining Graph Convolutional Networks (GCNs) with Convolutional Neural Networks (CNNs), which captures both non-Euclidean and Euclidean features and can be trained end-to-end. the proposed CNN-GCN method achieved state-of-the-art (SOTA) performance on the task of semantic symbol spotting, and help us build a baseline network for the panoptic symbol spotting task. Our contributions are three-fold: 1) to the best of our knowledge, the presented CAD drawing dataset is the first of its kind;2) the panoptic symbol spotting task considers the spotting of both thing instances and stuff semantic as one recognition problem;and 3) we presented a baseline solution to the panoptic symbol spotting task based on a novel CNN-GCN method, which achieved SOTA performance on semantic symbol spotting. We believe that these contributions will boost research in related areas. the dataset and code is publicly available at https://***/.

关键词： computer aided design

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Application of Model-Based System Engineering to a Planetary Rover design

Application of Model-Based System Engineering to a Planetary...

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international conference on Control, Mechatronics and Automation (ICCMA)

作者： Hugo Castaing Gilbert Tang Marco Chacin Fabien Bonnefoi SATM Cranfield University Cranfield UK Automation Robotics and Assembly Technology R&D AIRBUS Stevenage UK Computer Science IPSA Paris France

Traditional system engineering methods have shown their limits when applied to highly complex systems such as rovers. In parallel, the digitalisation of the industry and the democratisation of the use of models in engineering force the system engineering field to adapt and change its practices by adopting a new approach: Model-Based System Engineering. this project aimed to provide a comprehensive example of an MBSE approach applied to a planetary rover design case study. the MathWorks MBSE toolchain is used to reverse engineer the NASA Sojourner rover. As a result, the defined requirements, and functional and logical architectures are implemented and dynamically linked together. Additionally, a multi-physical simulation model of the rover's power and mobility system is implemented. Requirements, architectures, and physical models are linked together to form a unique and comprehensive knowledge base, providing a vertical model-centric approach. the results of the simulation are used to conduct a trade study and deduct a design change for the system. the results presented in this study form the basis for a discussion aimed at evaluating the benefits and limitations of the MBSE approach mentioned in the scientific literature.

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design and Engineering of an Affordable 6-DoF Humanoid Robot Featuring a Torso, Arms, and Head for Enhanced People Identification 11

Design and Engineering of an Affordable 6-DoF Humanoid Robot...

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11th international conference on Mechatronics and Robotics Engineering, ICMRE 2025

作者： Francis, Sobers L.X. Abdo, Dani Umair, Muhammad Hassan, Osama Ayadi, Walid Ali, Shaaban AbuDhabi Polytechnic Emet Department Abu Dhabi United Arab Emirates University of Khorfakkan Upskilling Centre Sharjah United Arab Emirates

ISBN: (纸本)9798331509293

this paper presents the design and development of a novel, low-cost, fixed-base humanoid robot equipped with a torso, two arms, hands with five fingers, and a head. One of the biggest challenges in developing low-cost humanoid robots is identifying optimal ways to minimize manufacturing and production costs without compromising quality or performance. this requires creative engineering and design strategies and using cost-effective and readily available materials and components. the design prioritizes the use of fewer components, including a reduced number of sensors and actuators, to lower costs. Another approach involves manufacturing the robot's body parts using 3D printing technology, which reduces the costs associated with traditional manufacturing methods. As a result, it allows the robot to meet specific demands at any stage of the process economically. During the design process, careful consideration is given to selecting materials, kinematic structures, and mechanical components. Choosing suitable materials is crucial when designing a low-cost humanoid robot. Using inexpensive, strong, and lightweight materials is essential to keep the robot's cost down without compromising essential features. the robot's range of motion is dictated by its skeleton or kinematic structure. Subsequently, selecting mechanical parts, such as joints, actuators, and sensors, is critical in determining the robot's overall performance and agility. In the development process, building the physical body of a 6-DoF humanoid robot, integrating sensors for perception, and designing control and decision-making software are all necessary steps. When these components come together, they enable the creation of a robot capable of human-like movement and interaction. the ability of a humanoid robot to identify and interact with humans has significant real-world applications, especially in security roles where the robot can recognize individuals in public spaces. the humanoid robot is designed

关键词： Anthropomorphic robots

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Research on automatic layout algorithm of graphic language in visual communication design under new media context 2021

Research on automatic layout algorithm of graphic language i...

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4th international conference on Information Systems and computer aided Education, ICISCAE 2021

作者： Wang, Yiming Li, Xinyang Dalian Polytechnic University Liaoning Dalian116034 China University of Melbourne Grattan Street Parkville MelbourneVIC3010 Australia

ISBN: (纸本)9781450390255

Under the background of rapid development of science and technology, a new media context has been formed. the emergence of new media context can make up for the problems and shortcomings of traditional media and make certain changes in the media pattern. Graphic design is the foundation of visual communication design, which is particularly important in the design of visual image system. Excellent graphic design can enrich the overall image and enhance the visual effect. the study of graphic language in visual communication design plays an important role in visual design. In this paper, a new algorithm for automatic layout of graphics language in visual communication design is proposed, which effectively solves the contradiction between texture storage capacity and realism, and realizes real-time decompression and rendering by using programmable graphics hardware. In the process of image compression and coding, the algorithm dynamically adds the contents of code table. the experimental results show that the user satisfaction of the proposed algorithm is significantly higher than that of the traditional algorithm, which shows that the proposed algorithm has better arrangement effect and higher practical value. © 2021 ACM.

关键词： Textures

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Adaptive Structure design of Pipe Cleaning Robot for Household Fresh Air System 11th

Adaptive Structure Design of Pipe Cleaning Robot for Househo...

引用

11th international conference on computer Engineering and Networks, CENet2021

作者： Hongli, Zhang Zhiguang, Guan School of Construction Machinery Shandong Jiaotong University Jinan250023 China Shandong Provincial Engineering Lab of Traffic Construction Equipment and Intelligent Control Shandong Jiaotong University Jinan250023 China

ISBN: (纸本)9789811665530

the self-adaptive structure of the pipe cleaning robot for the fresh air system of the home is designed. the main structure size of the robot is calculated according to the pipe size and mechanism. the walking mechanism and cleaning replacement device with adaptability are designed, so that the robot can better adapt to all kinds of household air duct cleaning work. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robots

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design and Fabrication of Wearable Flexible 3D Tactile Sensors 11

Design and Fabrication of Wearable Flexible 3D Tactile Senso...

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11th international conference on Mechatronics and Robotics Engineering, ICMRE 2025

作者： Xu, Naijia Zhang, Daohui Fu, Xin Han, BaiSong Hou, Xudong Zhao, Xingang Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang China University of Chinese Academy of Sciences Beijing China Shenyang University of Technology Shenyang China

ISBN: (纸本)9798331509293

In recent years, flexible haptic sensors have gained significant attention for their potential in robotics, inspired by the tactile sensing capabilities of human skin. these sensors enable robots to detect a wide range of haptic information, such as pressure and slip, thereby enhancing their flexibility and sensory capabilities. this paper introduces a flexible 3D haptic sensor with high sensitivity and low hysteresis, designed to detect both normal and tangential forces. the sensor features a three-layer structure: the top layer consists of a flexible square magnet that deforms under external forces, enabling force detection;the middle layer is made of Ecoflex 00-30 elastomer;and the bottom layer is a flexible circuit board (FPCB) embedded with Hall sensors that convert magnetic field changes into electrical signals. the flexible sensor is integrated into a smart glove by sewing it onto the thumb and index finger positions. By combining sensor data with machine learning algorithms, the glove achieves handwriting recognition with a classification accuracy of 96.67%. Additionally, the glove incorporates slip sensing capabilities to monitor grip states in real-time during object manipulation. these features make the sensor highly suitable for applications in wearable technology and human-computer interaction, with promising prospects for advancing human-robot interaction and robotics in general. © 2025 IEEE.

关键词： Human robot interaction

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Performance Analysis of Transfer Learning Models for Detecting Autism Spectrum Disorder Using Facial Images

Performance Analysis of Transfer Learning Models for Detecti...

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Intelligent Systems and Embedded design (ISED), international conference on

作者： Harendra Sharma Oshin Sharma Department of Computer Science and Engineering SRM Institute of Science and Technology Modinagar Ghaziabad India

Autism Spectrum Disorder (ASD) is a type of disorder which impacts how individuals communicate interact socially and behave. It is crucial to detect and diagnose ASD on for intervention and support. Over the years advanced deep learning models have shown great potential in various medical fields, including detecting autism. the face of a person can serve as a biomarker because it can reflect the state of the brain making it a convenient and straightforward tool, for diagnosis. In this study we employ learning methods based on convolutional neural networks (CNNs) to identify children with autism by analyzing their facial images. this research paper examines three learning models. Xception, VGG16 and VGG19. After conducting training and validation using the optimized configuration the Xception model showcases the level of performance, with an accuracy rate of 89% on test dataset. On the hand models, like VGG16 and VGG19 achieved accuracies of 76% and 80% respectively. To compare their effectiveness, in detecting autism using data. the study evaluates these models performance based on accuracy, sensitivity, specificity and computational efficiency.

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