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检索条件"任意字段=9th International Conference on Computer Aided Design and Computer Graphics"

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design of a Fully Programmable 3D graphics Processor for Mobile Applications 9th

Design of a Fully Programmable 3D Graphics Processor for Mob...

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9th international conference on computer Engineering and Networks, CENet2019

作者： Wu, Lingjuan Zhao, Wenqian Yu, Dunshan Huazhong Agricultural University Wuhan430070 China Peking University Beijing100871 China

ISBN: (纸本)9789811537523

With the widespread use of handheld devices, 3D graphics processing capability has become a differentiating factor in mobile SoC design. this paper presents the design of a fully programmable 3D graphics processor for mobile applications. We adopt single instruction, multiple data (SIMD) architecture and multi-thread scheduling to utilize data and instruction parallelism in the unified shader. And in rendering engine design, we propose distributed clipping and hierarchical tile-based rasterization to improve the speed. Hardware simulation results show that the triangle processing speed is improved by 33.3% from six to four clock cycles. And the synthesis results in SMIC 40 nm technology show that the maximum frequency is 600 MHz, and the triangle processing speed is 150 MTri/s. © 2021, Springer Nature Singapore Pte Ltd.

关键词： System-on-chip

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Serious Game for Motor-Imagery based Brain-computer Interface training 9

Serious Game for Motor-Imagery based Brain-Computer Interfac...

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9th IEEE international conference on e-Health and Bioengineering (EHB)

作者： Ianosi-Andreeva-Dimitrova, Alexandru Mandru, Silviu-Dan Tech Univ Cluj Napoca Dept Mechatron & Machine Dynam Cluj Napoca Romania

ISBN: (纸本)9781665440004

this paper presents a system designed to facilitate training for Motor-Imagery based Brain-computer Interfaces (MI-BCI). Usually, MI-BCI provide a bare minimum graphical interface for the subject, therefore the training is perceived as a chore;it is postulated that incorporating game design elements, a more entertaining training session is achievable, and a shorter learning period is needed. As such, medical rehabilitation techniques that rely on being familiar with successfully using MI-BCI, skills that are largely unknown to the typical patient, might be much earlier implemented. the paper presents the general architecture of our proposed system, how it is supposed to run, and the preliminary results obtained.

关键词： serious game motor-imagery brain-computer interface rehabilitation engineering

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design of pediatric robot to simulate infant biomechanics for neuro-developmental assessment in a sensorized gym 9

Design of pediatric robot to simulate infant biomechanics fo...

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9th IEEE RAS/EMBS international conference for Biomedical Robotics and Biomechatronics (BioRob)

作者： Panchal, Jal Sowande, O. Francis Prosser, Laura Johnson, Michelle J. Univ Penn Sch Engn & Appl Sci Dept Gen Robot Automat Sensing & Percept GRASP Philadelphia PA 19104 USA Univ Penn Sch Engn & Appl Sci Dept Mech Engn & Appl Mech Philadelphia PA 19104 USA Childrens Hosp Philadelphia Philadelphia PA 19104 USA Univ Penn Dept Pediat Philadelphia PA 19104 USA Univ Penn Dept Phys Med & Rehabil Philadelphia PA 19104 USA Univ Penn Dept Bioengn Philadelphia PA 19104 USA Univ Penn Dept Mech Engn & Appl Mech Philadelphia PA 19104 USA Univ Penn Rehab Robot Lab A GRASP Lab Philadelphia PA 19104 USA

ISBN: (数字)9781665458498

ISBN: (纸本)9781665458498

Infants at risk for developmental delays often exhibit postures and movements that may provide a window into potential impairment for cerebral palsy and other neuromotor conditions. We developed a simple 4 DOF robot pediatric simulator to help provide insight into how infant kinematic movements may affect the center of pressure (COP), a common measure thought to be sensitive to neuromotor delay when assessed from supine infants at play. We conducted two experiments: 1) we compared changes in COP caused by limb movements to a human infant and 2) we determined if we could predict COP position due to limb movements using simulator kinematic pose retrieved from video and a sensorized mat. Our results indicate that the limb movements alone were not sufficient to mimic the COP in a human infant. In addition, we show that given a robot simulator and a simple camera, we can predict COP measured by a force sensing mat. Future directions suggest a more complex robot is needed such as one that may include trunk DOF.

关键词： Pediatrics computer vision Force measurement Robot vision systems Kinematics Biomedical measurement Robot sensing systems

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Optimizing Age Classification Using Hyperparameter Tuning and Handling Imbalanced Dataset: An Algorithm Decision Forest training Algorithms Approach

Optimizing Age Classification Using Hyperparameter Tuning an...

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international conference on Computing, Engineering, and design (ICCED)

作者： Sarwo Yulius Denny Prabowo Computer Science Department BINUS Online Learning Bina Nusantara University Jakarta Indonesia

Age classification is a specialist field, and imbalanced datasets and hyperparameter tuning are essential issues that can increase the superiority of classification models. this study proposes a new method for age classification optimization using the Decision Forest training technique, focusing on hyperparameter tuning and handling imbalanced datasets. With substantial improvements in handling minority classes, this research aims to improve the model’s classification accuracy. A robust model that shows resistance to overfitting was created by utilizing the capabilities of the Decision Forest algorithm model. the accuracy and loss are excellent; the highest is K-FOLD 5: Accuracy: 0.9512 and Loss: 0.2172. this innovative study presents significant breakthroughs regarding age categorization and a workable approach for researchers to perform appropriate hyperparameter adjustments when dealing with imbalanced data. this represents a tremendous advance in the classification field and an exciting path of research and application

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design a Smart Lock System Using Fingerprint and Password for Enhancing Security 9th

Design a Smart Lock System Using Fingerprint and Password fo...

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9th international conference, FDSE

作者： Phat Nguyen Huu Duy Nguyen Quang Hieu Nguyen Trong Pha Pham Ngoc Quang Tran Minh Hanoi Univ Sci & Technol Hanoi Vietnam Natl Inst Patent & Technol Exploitat NIPTECH Hanoi Vietnam Ho Chi Minh City Univ Technol VNU HCM Hochiminh Vietnam Vietnam Natl Univ Ho Chi Minh City VNU HCM Hochiminh Vietnam

ISBN: (纸本)9789811980688;9789811980695

this paper focuses on designing a security system for a smart door lock using fingerprint sensors and passwords. the security system will consist of two layers, namely, fingerprint identification and password confirmation. A fingerprint sensor module will be integrated into the door for users to confirm fingerprints. the fingerprint sensor will take the fingerprint and forward it to the microcontroller for comparison. If the printout matches the saved fingerprint, the system will go to the password confirmation. the user needs to enter the correct password to unlock. If the user enters the wrong password more than five times, it will have to wait five minutes to continue and only those who are given the ID number can change the password. the system has results with an accuracy of 86.36% that can be applied for practical applicability.

关键词： Fingerprint Sensor Password Security key Encryption Information security

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design and Development of Gamification Tool for Teenagers for Selection of Higher Education Path Based on Personality Traits 9

Design and Development of Gamification Tool for Teenagers fo...

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9th IEEE international conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021

作者： Bhalerao, Deepali Bagul, Dhiraj Kesapure, Nikhil Bharati, Deven Hiremath, Rupa thakur, Nachiket Barve, Sunita PhD Research Scholar School of Computer Engineering MIT Academy of Engineering Pune India

ISBN: (纸本)9781665417037

Gamification is used as a powerful way to connect and engage player in an effective and enjoyable funny mood. the current research work demonstrates how gamification is designed and developed in an innovative way to find out different personality traits of the teenagers and recommends the possible career choices available for them based on their personality traits connecting it to the requirements of different professional careers. OCEAN model is used to find out different personalities and gamification concepts like design, elements and storytelling are used to develop gamified system. © 2021 IEEE.

关键词： Decision making

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IRS-aided Caching with Channel Power-Delay-Profile via DDPG and Self-Supervision Learning

IRS-Aided Caching with Channel Power-Delay-Profile via DDPG ...

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international conference on computers, Communications, and Systems (ICCCS)

作者： Huang Huang Fasheng Zhou School of Electronics and Communication Engineering Guangzhou University Key Laboratory of On-Chip Communication and Sensor Chip of Guangdong Higher Education Institutes Guangzhou China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

the 5G information age requires a large number of marginal nodes distributed around users to provide digital services. By caching and processing data at edge nodes close to users, edge caching technology can effectively collaborate with cloud computing and edge computing to improve the transmission efficiency as well as network response time. Meanwhile, intelligent reflective surface (IRS) is a promising technology for achieving high reductions in hardware cost and power consumption as compared to traditional relaying systems. It provides reliable and scalable backhaul transmission for base stations and access points in ultra-dense networks, which is in line with the requirements of 5G green technology. therefore, in this paper, we propose a collaborative edge caching method that effectively combines IRS-aided wireless communication and channel power-delay-profile to design joint caching decisions in a centralized manner through limited cache capacity, improving the quality of content delivery in information transmission. then we proposed a deep deterministic policy gradient learning method based on the framework of deep reinforcement learning along with self-supervision learning to predict IRS phases and collaborative caching strategies. the numerical simulation results show that the proposed algorithm has better convergence speed and learning accuracy than that of the existing algorithms, and is expected to be applied for future massive and dynamical content delivery applications.

关键词： Wireless communication Accuracy 5G mobile communication Heuristic algorithms Collaboration Time-varying channels Prediction algorithms

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DSNet: A Superior Real-Time Semantic Segmentation Model for Road Scenes

DSNet: A Superior Real-Time Semantic Segmentation Model for ...

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international conference on computer and Communications (ICCC)

作者： Zhenyu Yin Xiaoqiang Shi Feiqing Zhang Guangyuan Xu Li Qin Shurui Li Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Shenyang China Liaoning Key Laboratory of Domestic Industrial Control Platform Technology on Basic Hardware & Software Shenyang China School of Computer Science Shenyang Aerospace University Shenyang China

A series of semantic segmentation models have achieved remarkable accuracy, but their high computational cost limits their practical applications in areas such as autonomous driving and robotics. Recently, some multi-branch real-time semantic segmentation models have been proposed to improve segmentation accuracy by introducing detail branches. However, there is a lack of auxiliary guidance in the design of detail branches, and there is a high computational cost problem in designing multi-branch information fusion modules. therefore, to address these issues, in this paper, we propose a real-time semantic segmentation model called DSNet, which achieves a good balance between speed and accuracy. DSNet consists of two branches: the detail branch and the semantic branch. the detail branch effectively extracts detail information by introducing edge loss as auxiliary supervision, while the semantic branch extracts deeper-level semantic information by increasing network depth and channel count. Finally, the fusion of detail and semantic information serves as the feature for predicting the segmentation map. To fuse the detail and semantic information, we design a novel feature fusion module called LSAF, which efficiently integrates features from different branches with low computational costs. Our method achieves a speed of 152.3 FPS with an accuracy of 72.8% on the CityScapes test dataset.

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CAD-Based Research on the design of a Standard Unit Cabinet for Custom Furniture of the Cabinet Type 9th

CAD-Based Research on the Design of a Standard Unit Cabinet ...

引用

9th international conference of Pioneering computer Scientists, Engineers and Educators, ICPCSEE 2023

作者： Lan, Guo Weiquan, Fan Jingchu University of Technology Jingmen448200 China

ISBN: (纸本)9789819959679

Mass customization (MC) cabinet furniture has rapidly developed into the mainstream mode of furniture manufacturing in the information age with customized products and services, mass production mode and complete and unified space joint form through the design system of "standard unit cabinet + nonstandardized customized cabinet". Based on this, taking the design of a standard unit cabinet as the center, the modular design method is used to study the design of functional modules in a standard unit cabinet based on a CAD drawing form. In this paper, the relationship between the function and structure of a standard unit cabinet is analysed according to the principles of serialization, generalization and combination in the standardized design principles of a custom wardrobe, combined with the modular design method. Finally, the functional and structural design of two standardized series of wardrobes from the Korean furniture brand "Hanssen" is studied in terms of functional and structural dimensions. Conclusion: MC wardrobe can be designed using a combination of configurations of functional modules to achieve a standardized design that reduces the internal diversity of the product and increases the external diversity of the product. In addition, functional modules and structural design have an adaptive relationship in the design of a standard unit cabinet for a custom wardrobe. It is hoped that this study can have some reference value for the practice of MC furniture and the development of functional modules for custom wardrobes. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： computer aided design

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CPU Instruction Verification Test Sequence Generation Method Based on Finite State Machine

CPU Instruction Verification Test Sequence Generation Method...

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6th international conference on Intelligent Computing and Signal Processing (ICSP)

作者： Lei Kang Xuyang Ai School of Computer Science Xi'an Shiyou University Yanta Xi'an Shaanxi

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

CPU instruction functional verification is a key process to ensure the correctness and reliability of a processor design. the method of generating test instruction sequences in random order will have the problem of correlation between test results and test instruction sequences. To ensure the reliability of test results, this paper proposes a method for generating CPU instruction function test sequences based on finite state machines. the method works by finding an Euler circuit in the state diagram of the CPU to be tested, and generating an instruction function test sequence based on the found Euler circuit.

关键词： Correlation Codes Instruction sets Automata Signal processing Reliability engineering Integrated circuit reliability

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