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Fusion of Attention Mechanism with Shape-Adaptive Rotational Object Detection 4

Fusion of Attention Mechanism with Shape-Adaptive Rotational...

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4th International conference on Big Data and Artificial Intelligence and software engineering, ICBASE 2023

作者： Li, Zhenxing Guo, Jialiang Hao, Yuzhi Harbin Engineering University College of Computer Science and Technology Harbin China Southeast University School of Automation Nanjing China

ISBN: (纸本)9798350329490

This study introduces a novel attention mechanism for object detection in optical remote sensing images. In aerial imagery, many small objects rely on environmental cues for recognition. Their successful recognition largely depends on their surrounding environmental backdrop since the environmental information can provide crucial clues about the object's shape, orientation, and other features. Therefore, we firmly believe in the enormous potential of the Swin Transformer in capturing these prior knowledge. Our strategy, based on RepPoints and using Swin Transformer as a backbone, engages in sample selection through the fusion of Shape-Adaptive Selection and Shape-Adaptive Measurement strategies. This strategy fully exploits the shape information of the targets, dynamically optimizing the process of positive and negative sample matching. We have also designed a boundary center loss function to enhance localization precision and incorporated an orientation classification prediction head to explicitly predict target angles. Experiments on a private SAR dataset and DOTA benchmark validate the superiority of our approach in improving accuracy, efficiency and reducing model size compared to other methods. This research paves the way for new directions in Transformer-based rotational object detection. © 2023 IEEE.

关键词： Object detection

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Design and implementation of electrical engineering experiment based on the Arduino platform

Design and implementation of electrical engineering experime...

引用

2022 International conference on Intelligent Equipment and Data Processing, IEDP 2022

作者： Chen, Yuxuan Li, Yi Shi, Xinyi Zhang, Chengyi School of Electrical and Computer Engineering Xiamen University Malaysia Selangor43900 Malaysia University of Michigan Joint Institute Shanghai Jiao Tong University Shanghai200240 China School of Microelectronics and Technology Sun Yat-Sen University Zhuhai528478 China

Arduino platform is a new hardware and software combination platform that is widely used, flexible, easy to operate, and rapidly developing. In this paper, the design and implementation of the DC chopper circuit were conducted based on the Arduino platform. Firstly, the power signal and trigger signal are output in the form of programming on the Arduino platform, and the rest of the circuit is built on the breadboard in the form of hardware. Finally, the design waveform is obtained. This paper introduces the basic working principles of four power conversion circuits, conducts circuit simulation on MATLAB software and obtains the ideal output waveform, and uses C language programming to trigger control signal generation, generates corresponding electrical signals through compilation and USB wire transmission to Arduino controller, and builds relevant circuits. This paper makes use of the advantages of the breadboard, fully combines the theoretical knowledge and circuit connection, and finally observes the output waveform through an oscilloscope, and compares the waveform of the actual circuit with the simulation results of MATLAB. © Published under licence by IOP Publishing Ltd.

关键词： MATLAB

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Recommender-based User Guidance Framework 6

Recommender-based User Guidance Framework

引用

6th IEEE International conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2024

作者： Babu, Sooraj K. Chetitah, Mounsif Von Mammen, Sebastian Julius-Maximilians University Games Engineering Würzburg Germany

ISBN: (纸本)9798350372021

User guidance is crucial for a seamless user experience in a software system. This paper explores the need for effective user guidance mechanisms to enhance user experience and reduce human errors and frustration. In order to do that, we formalise and symbolically represent user guidance for versatile applications across diverse contexts by considering the knowledge base on users and software systems. We comprehensively analyse four distinct categories of user guidance mechanisms, namely, familiarisation, continuation, navigation, and customisation, with examples and expected data needed for each category. In addition, we investigate whether a recommender system (RS) can function as an appropriate tool to intelligently guide a user through a virtual reality (VR) authoring platform and describe the implementation of the corresponding RS-based guidance mechanism that aligns with the proposed formalisation. The paper concludes with a discussion of the present state of affairs and prospects for future research. © 2024 IEEE.

关键词： Recommender systems

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Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection 40

Dual-Teacher De-Biasing Distillation Framework for Multi-Dom...

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40th IEEE International conference on Data engineering, ICDE 2024

作者： Li, Jiayang Feng, Xuan Gu, Tianlong Chang, Liang Guangzhou China Guilin University of Electronic Technology Guangxi Key Laboratory of Trusted Software Guilin China

ISBN: (纸本)9798350317152

Multi-domain fake news detection aims to identify whether various news from different domains is real or fake and has become urgent and important. However, existing methods are dedicated to improving the overall performance of fake news detection, ignoring the fact that unbalanced data leads to disparate treatment for different domains, i.e., the domain bias problem. To solve this problem, we propose the Dual-Teacher De-biasing Distillation framework (DTDBD) to mitigate bias across different domains. Following the knowledge distillation methods, DTDBD adopts a teacher-student structure, where pre-trained large teachers instruct a student model. In particular, the DTDBD consists of an unbiased teacher and a clean teacher that jointly guide the student model in mitigating domain bias and maintaining performance. For the unbiased teacher, we introduce an adversarial de-biasing distillation loss to instruct the student model in learning unbiased domain knowledge. For the clean teacher, we design domain knowledge distillation loss, which effectively incentivizes the student model to focus on representing domain features while maintaining performance. Moreover, we present a momentum-based dynamic adjustment algorithm to trade off the effects of two teachers. Extensive experiments on Chinese and English datasets show that the proposed method substantially outperforms the state-of-the-art baseline methods in terms of bias metrics while guaranteeing competitive performance. Our codes are available at https://***/ningljy/DTDBD. © 2024 IEEE.

关键词： Personnel training

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Design of A Low-Latency General-Purpose CNN Hardware Accelerator based on Pulsed Arrays on FPGAs 20

Design of A Low-Latency General-Purpose CNN Hardware Acceler...

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20th International conference on Natural Computation, Fuzzy Systems and knowledge Discovery, ICNC-FSKD 2024

作者： Zhang, Qianqian Zhang, Xin School of Electronic Engineering Xi'an Post and Communications University Xi'an China

ISBN: (纸本)9798350356328

With the rapid development of deep learning technology, Convolutional Neural Networks (CNNs) have demonstrated excellent performance in image classification, target detection, and other fields. However, traditional CNN accelerators often face problems such as high computational resource consumption and high latency when dealing with complex network structures and large-scale data. In order to solve these problems, this paper proposes an FPGA-based CNN hardware accelerator aimed at realizing low-latency CNN inference. The accelerator adopts an improved 3D pulsed array structure and designs an efficient storage system for it;under the hardware-software synergistic design, the computational efficiency and latency are effectively improved and reduced by the parallel strategy of the input and output channels and the quantization technique of converting floating-point to 8-bit fixed-point numbers. Finally, this design tests and validates the performance of the proposed accelerator using the VGG-16 model on a resource-constrained Xilinx Zynq7020 heterogeneous platform. The design is also compared with conventional convolutional and HLS-based designs. The experimental results show that compared with the existing techniques, the proposed accelerator significantly reduces the computational latency to 182.3ms/Image while maintaining a higher accuracy, and at the same time, the acceleration performance of the network reaches 41.2GOPS, which provides a strong support for the application of CNNs in resource-constrained environments. © 2024 IEEE.

关键词： Digital storage

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Development of a Micro-course App for College Students’ Mental Health Education Courses based on Computer software Technology 3rd

Development of a Micro-course App for College Students’ Men...

引用

3rd EAI International conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2023

作者： Song, Xiuyan Zhang, Yang Chang, Xunyun School of Health Caring Industry Shandong Institute of Commerce and Technology Shandong Jinan250103 China School of Music and Dance Shaoyang University Hunan Shaoyang422000 China

ISBN: (纸本)9783031631382

Student mental health of moral education. As the main channel of student mental health education, the student mental health curriculum integrates knowledge transfer, classroom experience and behavior training. It has a professional theoretical background. In addition to emphasizing personal values, methods also help to improve moral education. Effectiveness, pertinence and sense of the times, serve the purpose of Lide Shuren, and play its due cultural role. With the and dissemination of wireless communication network and portable intelligent terminal equipment, micro classroom teaching has developed rapidly with its unique advantages. Combining it with students’ mental health education can open up a new situation for students’. This article researches the development of the micro-course app for college students’ courses based on computer software, summarizes the role of college students’ mental health education, and then puts forward the necessity of the development of the micro-course app for college courses, and then use computer software technology to design the micro-class app for education courses, and finally test the designed micro-class app. The final test results show that although the micro-class app for college students’ mental health education designed in this article has some shortcomings, overall, the app’s performance evaluations account for more than 32% of people, generally 30%the above. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Application programs

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Smartphone-based Object Recognition Application for Educational Engagement 4

Smartphone-Based Object Recognition Application for Educatio...

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4th International conference on Distributed Sensing and Intelligent Systems, ICDSIS 2023

作者： Fadhil, Heba M. Muayad, Abdullah Majid, Summer Munthder, Muhammed Husain, Jalal Department of Information and Communication Al-Khwarizmi College of Engineering University of Baghdad Baghdad Iraq

ISBN: (纸本)9781839539954

Computers and mobile phones are common today and play an important role in society for children and adults, providing many opportunities and advantages. This new application is intended for everyone, including children, and offers an enjoyable learning process. It takes advantage of children’s natural ability to identify individuals, objects, scenery, and other visual features in still photos and moving clips. This paper aims to create an educative but engaging environment that stimulates children to learn about and understand various visuals. In addition, the incorporation of deep NN models into the software demonstrates the need to modify software engineering methodologies and practices to cope with evolving technologies. The program can recognize an array of objects, such as animals, cars, common housewares, and natural scenes. The software uses state-of-the-art deep neural network architectures that are readily plugged into modern software stacks for accurate and reliable object detection. Aside from merely identifying objects, it also engages users in the learning process, where they are prompted to recognize and label different objects and parts of the visual content. This method provides a stimulus or motivation for children to learn object names in English because it facilitates the swift and faster growth of their own vocabularies. Therefore, this project is at the crossroads of computer vision, deep learning, and education, as such tools contribute to the enhancement of children’s language knowledge and object identification abilities in mobile application development. © The Institution of engineering & Technology 2023.

关键词： Mobile applications

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17th International Symposium on Theoretical Aspects of software engineering, TASE 2023

17th International Symposium on Theoretical Aspects of Softw...

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17th International Symposium on Theoretical Aspects of software engineering, TASE 2023

ISBN: (纸本)9783031352560

The proceedings contain 21 papers. The special focus in this conference is on Theoretical Aspects of software engineering. The topics include: A Hierarchical Spatial Logic for knowledge Sharing and Fusion in Intelligent Connected Vehicle Cooperation;veriLin: A Linearizability Checker for Large-Scale Concurrent Objects;identifying Minimal Changes in the Zone Abstract Domain;idDL2DL – Interval Syntax to dL;safety Verification for Neural Networks based on Set-Boundary Analysis;approximately Learning Quantum Automata;View-based Axiomatic Reasoning for PSO;a Static Analyser for Resource Sensitive Workflow Models;MTCD: An Efficient Cloning Detection Technique based on Method Table;verified Transformation of Continuation-Passing Style into Static Single Assignment Form;stepwise Development of Paraconsistent Processes;Detecting API-Misuse based on Pattern Mining via API Usage Graph with Parameters;OAT: An Optimized Android Testing Framework based on Reinforcement Learning;decomposing Synthesized Strategies for Reactive Multi-agent Reinforcement Learning;contract based Embedded software Design;verifying Refinement of Probabilistic Contracts Using Timed Automata;asynchronous Test Equivalence over Timed Processes;protocol Conformance with Choreographic PlusCal;Verifying Chips Design at RTL Level.

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Development of a High-Precision Multi-Source Localization System based on DUET-SRP-PHAT 20

Development of a High-Precision Multi-Source Localization Sy...

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20th International conference on Natural Computation, Fuzzy Systems and knowledge Discovery, ICNC-FSKD 2024

作者： Jiang, Yujie Hang, Rongzhi Liu, Ben Yang, Songyu Zhang, Xiaojun Xu, Yishen Soochow University School of Optoelectronic Science and Engineering Suzhou China

ISBN: (纸本)9798350356328

Sound Source Localization (SSL) is an important front-end technology in the field of speech and audio signal processing, widely used in machine fault diagnosis, sound recognition, intelligent conferences, and other fields. This article proposes a high-precision SSL method based on DUET-SRP-PHAT and develops a high-precision multi-source localization system. After collecting data through a microphone array, the system uses Degradation Unmixing Estimation Technology (DUET) to separate the mixed signal into source signals and then uses the Steered Response Power with Phase Transform (SRP-PHAT) algorithm to estimate time delay and analyze the position of the sound source. At the same time, the three-dimensional image of the sound source through the upper computer software makes the localization of the sound source more intuitive. Through experiments, it has been shown that the proposed method has an error of less than 6 in single-source and dual-source localization, and less than 8 in three-source localization. This indicates that the developed system has high accuracy and stability. © 2024 IEEE.

关键词： DUET Microphone array Sound Source Localization SRP-PHAT

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AutoIE: An Automated Framework for Information Extraction from Scientific Literature 17th

AutoIE: An Automated Framework for Information Extraction fr...

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17th International conference on knowledge Science, engineering and Management (KSEM)

作者： Liu, Yangyang Li, Shoubin Huang, Kai Wang, Qing Chinese Acad Sci Inst Software Beijing Peoples R China Univ Auckland Auckland New Zealand Natl Def Univ Beijing Peoples R China

ISBN: (纸本)9789819754946;9789819754953

In the rapidly evolving field of scientific research, efficiently extracting key information from the burgeoning volume of scientific papers remains a formidable challenge. This paper introduces an innovative framework designed to automate the extraction of vital data from scientific PDF documents, enabling researchers to discern future research trajectories more readily. AutoIE uniquely integrates four novel components: (1) A multi-semantic feature fusion-based approach for PDF document layout analysis;(2) Advanced functional block recognition in scientific texts;(3) A synergistic technique for extracting and correlating information on molecular sieve synthesis;(4) An online learning paradigm tailored for molecular sieve literature. Our SBERT model achieves high Marco F1 scores of 87.19 and 89.65 on CoNLL04 and ADE datasets. In addition, a practical application of AutoIE in the petrochemical molecular sieve synthesis domain demonstrates its efficacy, evidenced by an impressive 78% accuracy rate. This research paves the way for enhanced data management and interpretation in molecular sieve synthesis. It is a valuable asset for seasoned experts and newcomers in this specialized field.

关键词： Information Extraction Layout Analysis Scientific Document Analysis

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