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

共 9684 条记录，以下是191-200 订阅

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Systematic Literature Review on IT Strategic Workspaces: Approach to Develop an Ideal Environment 9

Systematic Literature Review on IT Strategic Workspaces: App...

引用

9th IEEE international conference on Computing, Engineering and design, ICCED 2023

作者： Putra, Alden Ardiwinata Fusanto, Princessa Fortunata Valonika, Nebrisca Anggreainy, Maria Susan Kurniawan, Afdhal Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia BINUS Graduate Program Doctor of Computer Science Computer Science Department Bina Nusantara University Jakarta11530 Indonesia

ISBN: (纸本)9798350370126

Technology and information will always develop dynamically;this statement demands programmers to always be creative and keep up with the times. Despite this, their work ethic is always the same and tends to stagnate. Programmers' perspectives on their workplace: this perspective is rarely seen as important and the opportunity for a comprehensive study is still widely open. this study aims to conduct a systematic literacy study to ascertain that the workplace has a crucial relationship with a programmer's performance. the focus of the study includes a discussion of how programmers relate to their workplace in a tech company, benchmarking between various office layouts, and criteria that can be derived from the literature review regarding a degree of whether such a workplace is good or bad. the proper base facts are obtained. Nevertheless, the two entities are proven to be interrelated to each other. Such correlations are derived into tangible metrics and parameters (e.g., human cognitive, cultural, physical, behavioral, etc.). Relating issues regarding these topics are also presented. © 2023 IEEE.

关键词： Software engineering

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Analyzing Company's Share Purchase Value Based on Financial Reports Using Artificial Neural Network (ANN) 9

Analyzing Company's Share Purchase Value Based on Financial ...

引用

9th IEEE international conference on Computing, Engineering and design, ICCED 2023

作者： Shawn, Jeremy Gunawan, Jonathan Hao, Chen Zi Anggreainy, Maria Susan Kurniawan, Afdhal Bina Nusantara University School of Computer Science Computer Science Department Jakarta Indonesia Bina Nusantara University BINUS Graduate Program Computer Science Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350370126

Because financial time series forecasting is sensitive to political, economic, and social factors, it is not a simple task. As a result, those who make investments in currency exchange and financial markets typically search for reliable models that can guarantee they will maximize their profile and minimize their losses. Fortunately, many studies have used a method from Artificial Neural Networks (ANNs) called Backpropagation, could improve the predictive accuracy of the behavior of the financial data over time. this paper aims to forecast stock share prediction from closing value of PT. Bank Central Asia Tbk, and PT. Bank Maybank Indonesia Tbk. the results show that the using Backpropagation gives the closest result. And for the rating of judgement for cast accuracy, it exceeded 10% accuracy, which means high accurate from the prediction. For further checking, comparing the results of research from Victor's results, it almost hits the same accuracy percentage. Which means, these prediction are accurate enough to do time series forecasting. © 2023 IEEE.

关键词： Backpropagation

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Harnessing Programmable Logic for Quaternion Multiplication 20th

Harnessing Programmable Logic for Quaternion Multiplication

引用

20th EAI international conference on computer Science and Education in computer Science, CSECS 2024

作者： Gorbounov, Yassen Chen, Hao New Bulgarian University Sofia Bulgaria China University of Mining and Technology Xuzhou221000 China

ISBN: (纸本)9783031843112

Quaternions are four-dimensional hyper-complex numbers discovered by Sir William Hamilton in the 19th century. Compared to Euler angles, quaternions allow combining rotations in three-dimensional space and help overcome the problem of not being able to rotate about an axis regardless of rotation about other axes. they find numerous applications in various fields such as mechatronics, computer graphics and signal processing. However, the computational complexity of quaternion multiplication limits its effectiveness in real-time applications. To solve this problem, the paper proposes a hardware-oriented solution based on a programmable logic device (PLD). the design structure is based on the parallel processing and reconfiguration capabilities of the PLD, which can significantly improve the quaternion multiplication performance compared to traditional implementations based on a purely software approach. the paper covers the elaborated multiplier architecture and discusses its advantages in terms of performance and resources used. the experimental work performed highlights the flexibility of the approach used and demonstrates its effectiveness in accelerating quaternion multiplication, making it suitable for real-time applications. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： computer circuits

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design of three Components for the Mobile Application Supporting Software 9

Design of Three Components for the Mobile Application Suppor...

引用

9th Annual international conference on Network and Information Systems for computers, ICNISC 2023

作者： Shi, Tingting Du, Wenjie Xu, Xiyu Beijing Institute of Computer Technology and Application Beijing China Chinese Academy of Sciences The Key Laboratory of Microwave Remote Sensing National Space Science Center Beijing China

ISBN: (纸本)9798350306682

the technology of mobile application supporting software design has been an increasingly field in the past decade. It is benefic to establish a generalized methodology to better direct the software engineering practice. After a brief description of architecture of the mobile application supporting software, this paper focuses on the design of three core components: integration network, development support environment, geographic information support. In each of the components several innovative techniques are introduced to commit the requirement specifications. the methodology of this paper can make solid contribute to the community. © 2023 IEEE.

关键词： Software design

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Joint Waveform and Passive Beamforming design for IRS-aided ISAC via Deep Unfolding 16

Joint Waveform and Passive Beamforming Design for IRS-Aided ...

引用

16th international conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Zhang, Jifa Liu, Mingqian Tang, Jie Zhao, Nan Niyato, Dusit Wang, Xianbin School of Information and Communication Engineering Dalian University of Technology Dalian China Xidian University State Key Laboratory of Integrated Service Networks Xi'an China School of Electronic and Information Engineering South China University of Technology Guangzhou China School of Computer Science and Engineering Nanyang Technological University Singapore Western University Department of Electrical and Computer Engineering LondonONN6A 5B9 Canada

ISBN: (纸本)9798350390643

Integrated sensing and communication (ISAC) has become a promising technique to alleviate the spectrum congestion via sharing the same spectrum for communication and sensing. Nevertheless, many ISAC schemes encounter the challenges of high complexity. In this paper, we propose a dual-functional waveform design scheme for reconfigurable intelligent surface (RIS) aided ISAC based on deep unfolding learning. Specifically, the weighted sum of multi-user interference energy and waveform discrepancy is minimized via the joint waveform and phase-shift design. We first develop an alternating direction method of multipliers (ADMM) based iterative algorithm to handle the non-convex optimization problem. then, we develop a deep unfolding neural network (NN), named ADMM-NET, which unfolds the proposed ADMM-based iterative algorithm to a layer-wise architecture. Simulation results verify the effectiveness of the proposed ADMM-NET. © 2024 IEEE.

关键词： Convex optimization

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design of Autonomous Bolt Detection System Based on Quadrotor UAV 9

Design of Autonomous Bolt Detection System Based on Quadroto...

引用

9th international conference on Control Science and Systems Engineering, ICCSSE 2023

作者： Li, Donghui Xiong, Kuixiang Bao, Zhejing Yan, Wenjun Lu, Zhengdong College of Electrical Engineering Zhejiang University Hangzhou China Polytechnic Institute Zhejiang University Hangzhou China

ISBN: (纸本)9798350339055

In modern railway construction, manual on-site detection of traction power foundation interfaces can be unsafe and inefficient, especially in scenarios involving high piers. To address this issue, an intelligent detection approach has been proposed based on modular design principles. this approach integrates computer vision technology and a PID flight control algorithm to enhance safety and efficiency. the proposed solution includes an autonomous bolt detection system designed and implemented using a Matrice 300 RTK (Real-Time Kinematic) quadrotor UAV (Unmanned Aerial Vehicle) equipped with a high-performance onboard computer, Manifold 2, a visible light camera H20, and a depth camera with a visual laser range-finder. this system replaces the traditional detection method, reducing manual involvement and improving detection accuracy. the proposed system has been successfully applied and demonstrated in the field, resulting in significantly higher detection precision. © 2023 IEEE.

关键词： computer vision

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A Method for Generating Speech Adversarial Examples Using Conditional Generative Adversarial Networks 9

A Method for Generating Speech Adversarial Examples Using Co...

引用

9th international conference on Intelligent Computing and Signal Processing, ICSP 2024

作者： Hu, Xufei Ye, Ou Yu, Zhenhua College of Computer Science and Technology Xi'an University of Science and Technology Xi'an China

ISBN: (纸本)9798350376548

the current automatic speech recognition (ASR) technology has achieved remarkable success, but it is vulnerable to adversarial attacks. To solve the problem that existing adversarial attack methods are difficult to capture the correlation between different speech scales, resulting in a low attack success rate, this paper proposes a Category Conditional Generative Adversarial Network (CC-GAN) to generate speech adversarial samples. By incorporating a target label mapping module and a novel NReSidual U-block network within the generator, the proposed CC-GAN efficiently learns diverse speech feature scales, enhancing speech representation. the discriminator's design, combining convolutional and fully connected layers, effectively preserves temporal speech signal information, addressing data distribution instability. Experiments on the Speech Commands and GTZAN datasets demonstrate the method's superior performance, with attack success rate improvements of 3.47% and 5.1%, and signal-to-noise ratio enhancements of 3.2dB and 1.49dB. © 2024 IEEE.

关键词： Generative adversarial networks

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Development of a framework for computer aided design and manufacturing of 3 axis hybrid wire arc additive manufacturing

Development of a framework for computer aided design and man...

引用

9th international conference on Advancements and Futuristic Trends in Mechanical and Materials Engineering (AFTMME)

作者： Sarma, Ritam Kapil, Sajan Joshi, Shrikrishna N. Indian Inst Technol Guwahati Dept Mech Engn Gauhati 781039 Assam India

Hybrid Wire Arc Additive Manufacturing (H-WAAM) has revolutionized modern metal manufacturing industries through its ability to realize medium to large metallic components within a short span of time. In H-WAAM, computer-aided Process Planning (CAPP) is the basic step that helps in improving the productivity and quality of the fabricated components. CAPP of H-WAAM needs to be treated differently from that of traditional AM due to the higher deposition rate and synergistic involvement of the subtractive process. the traditional CAPP solutions used for AM are restricted to Stereolithography (STL) file format and provide limited access to the process parameters. However, if a CAD/CAM system that has been dedicatedly developed for the SM satisfies certain conditions then it can be utilized for the CAPP of HWAAM. therefore, in this work, a generalized framework for utilizing any CAD/CAM system for the CAPP of the H-WAAM has been proposed. the framework supports a wide variety of standard CAD formats and enables the user to choose several build strategies. the toolpath for deposition as well as machining can be generated with a common work coordinate system. this eliminates the time it takes to move components from one platform to another. the developed framework has been validated through a case study of fabricating an impeller. Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the 9th international conference on Advancements and Futuristic Trends in Mechanical and Materials Engineering(AFTMME 2021).

关键词： CAD CAM Hybrid wire arc additive manufacturing Toolpath planning computer-aided process planning

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Automotive Lightweight design Modeling And Intelligent Optimization Learn Key Technologies 10

Automotive Lightweight Design Modeling And Intelligent Optim...

引用

10th IEEE international conference on Cyber Security and Cloud Computing and 9th IEEE international conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Xu, Gejing Liang, Wei Cai, Jiahong Xiao, Jiahong Chen, Xingyu Gong, Yinyan QuanZhou University Information Engineering Software College QuanZhou362000 China Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan411201 China

ISBN: (纸本)9798350312461

the automotive industry has always been seeking innovative solutions to improve car performance, safety, and cost savings. Lightweight design technology has become one of the solutions. this article summarizes the modeling and optimization methods of automotive lightweight design, as well as key technologies based on intelligent optimization learning. First, this article outlines the basic concepts of automotive lightweight design, as well as the needs and challenges of the industry for lightweight design. then, the modeling methods of lightweight design are introduced in detail, including geometric modeling, topology optimization, structural optimization, and multidisciplinary optimization. At the same time, commonly used materials, manufacturing processes, and testing methods in lightweight design are introduced, as well as relevant design guidelines and standards. this article also introduces some algorithms and their applicable scenarios. Additionally, this article summarizes the application prospects and future development directions of key technologies for automotive lightweight design modeling and intelligent optimization learning. We emphasize the opportunities and challenges in this field and propose how to continue promoting the development of lightweight design technology and responding to increasingly complex market demands. this article provides a systematic review of key technologies for automotive lightweight design modeling and intelligent optimization learning, which helps researchers and practitioners to deepen their understanding of the technical development and application trends in this field. © 2023 IEEE.

关键词： Automotive industry

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Adaptive Cognitive Diagnosis under Distribution Shift with a Double-Level Adversarial Framework 9

Adaptive Cognitive Diagnosis under Distribution Shift with a...

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9th international conference on Big Data Analytics, ICBDA 2024

作者： Zhang, Yuhong Si, Chenyang School of Computer and Information Technology Hefei University of Technology Hefei China

ISBN: (纸本)9798350352962

Cognitive diagnosis is an important task in intelligent education, and it aims to diagnose the mastery level of students for knowledge concepts by modeling the interaction among student proficiency, exercise difficulty and exercise discrimination. Existing methods assume the training and test data follow identical distribution. However, there does exist the distribution shift between training and test data. Moreover, the manifestation of this distribution shift is multidimensional. To this end, we propose the adaptive cognitive diagnosis framework and design a double-level adversarial framework to address the multidimensional distribution shifts in cognitive diagnosis. Specifically, the multidimensional distribution shifts are divided into two levels, the difference on the representation level and the difference on the cognitive level. the adversarial at the representation level is designed for the adaptive learning of student proficiency, exercise difficulty and discrimination. And the adversarial at the cognitive level is for adaptive training of the diagnostic framework. Extensive experimental results on four datasets demonstrate the effectiveness of our method. © 2024 IEEE.

关键词： Adversarial machine learning

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