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检索条件"机构=Computer System Design and Engineering"

共 766 条记录，以下是261-270 订阅

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Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation

Cross-Domain Few-Shot Relation Extraction via Representation...

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International Joint Conference on Neural Networks (IJCNN)

作者： Zhongju Yuan Zhenkun Wang Genghui Li School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China

Few-shot relation extraction aims to recognize novel relations with few labeled sentences in each relation. Previous metric-based few-shot relation extraction algorithms identify relationships by comparing the prototypes generated by the few labeled sentences embedding with the embeddings of the query sentences using a trained metric function. However, as these domains always have considerable differences from those in the training dataset, the generalization ability of these approaches on unseen relations in many domains is limited. Since the prototype is necessary for obtaining relationships between entities in the latent space, we suggest learning more interpretable and efficient prototypes from prior knowledge and the intrinsic semantics of relations to extract new relations in various domains more effectively. By exploring the relationships between relations using prior information, we effectively improve the prototype representation of relations. By using contrastive learning to make the classification margins between sentence embedding more distinct, the prototype's geometric interpretability is enhanced. Additionally, utilizing a transfer learning approach for the cross-domain problem allows the generation process of the prototype to account for the gap between other domains, making the prototype more robust and enabling the better extraction of associations across multiple domains. The experiment results on the benchmark FewRel dataset demonstrate the advantages of the suggested method over some state-of-the-art approaches.

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UWM-Net: A Mixture Density Network Approach with Minimal Dataset Requirements for Underwater Image Enhancement

UWM-Net: A Mixture Density Network Approach with Minimal Dat...

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Artificial Intelligence (CAI), IEEE Conference on

作者： Jun Huang Zongze Li Ruihao Zheng Zhenkun Wang School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China

ISBN: (数字)9798350354096

ISBN: (纸本)9798350354102

The learning-based underwater image enhancement, which is suitable for batch processing, is a pivotal research direction in underwater image processing. Extensive paired image data are required in existing learning-based methods, which necessitate considerable preprocessing and hinder the application of these methods. To address these limitations, we propose a semi-supervised approach called UWM-Net: firstly, we use a compact dataset of underwater image pairs to train the Mixture Density Network (MDN) with an underwater scene setting; subsequently, U-Net can learn underwater image enhancement more efficiently. The MDN can transform standard images into underwater scenes, reducing the reliance on paired data and making much smaller training datasets. In experimental studies, UWM-Net using only 18 pairs of underwater image data achieves highly competitive results in terms of 3 metrics compared with advanced models.

关键词： Measurement Training Learning systems Image quality Image color analysis Refining Training data

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Towards Lightweight Underwater Depth Estimation

Towards Lightweight Underwater Depth Estimation

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Artificial Intelligence (CAI), IEEE Conference on

作者： Keyu Zhou Jin Chen Shuangchun Gui Zhenkun Wang School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China

ISBN: (数字)9798350354096

ISBN: (纸本)9798350354102

Underwater depth estimation is crucial in the applications of marine robotics. It can provide environment information for target tracking, robot navigation, and 3D reconstruction of underwater terrain. Existing works transform underwater images into in-air conditions to adapt methods that are designed for natural images. However, this may result in expensive computational resources. To overcome this limitation, we propose a lightweight knowledge distillation framework for underwater depth estimation. We utilize a powerful model designed for underwater images as the teacher model and a lightweight CNN model as the student model. We distill global features to enable the student to acquire both local and global information, thereby improving estimation performance. Our framework includes a global transformation module for efficient global feature distillation and a global-local fusion module to combine local and global information for final estimation. Experimental results on the FLSea dataset demonstrate that our student model is lighter than the teacher model while outperforming lightweight in-air models. Our network is 60% lighter than the teacher model and achieves a 3.1% improvement in the δ 1 metric compared to the lightweight in-air model.

关键词： Measurement Adaptation models Three-dimensional displays Target tracking Navigation Computational modeling Estimation

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Dijkstra beats genetic algorithm: Integrating uncomfortable intersection-turns to subjectively optimal route selection

Dijkstra beats genetic algorithm: Integrating uncomfortable ...

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IEEE 7th International Conference on Computational Cybernetics, ICCC 2009

作者： Kambayashi, Yasushi Yamachi, Hidemi Tsujimura, Yasuhiro Yamamoto, Hisashi Department of Computer and Information Engineering Nippon Institute of Technology 4-1 Gakuedai Miyashiro-cho Minamisaitama-gun Saitama 345-8501 Japan Faculty of System Design Tokyo Metropolitan University 6-6 Asahigaoka Hino City Tokyo 191-0065 Japan

ISBN: (纸本)9781424453115

Route selection is one of the most important problems for a car navigation system. Given a pair of origin and destination, there are many possible routes. Most current car navigation systems propose the shortest path from the origin to the destination. Selecting the shortest path is not a hard problem, but the shortest path is not always what the user wants;what the user really wants to have is the most comfortable route for him or her to drive. In other words, the driver wants to have a car navigation system to propose the subjectively optimal route for him or her. Finding such a route requires enumerating all the possible routes, and is known as a NP-complete problem. In order to reduce computational complexity, we employed a GA to find a (subjectively) quasi-optimal route for the driver. In the previous paper, we reported our attempt to integrate uncomfortable-turns to our GA-based route selection algorithm. Even though GA provided a quasi-optimal route in most cases and certainly much faster than exhaustive search, we have found that the classical Dijkstra algorithm can be used to find subjectively the most comfortable route by changing the data structure. In this paper, we show how the data structure that represents routes can be modified to assist Dijkstra's algorithm to find subjectively optimal driving route. The numerical experiments demonstrate the feasibility of our route selection based on Dijkstra algorithm with extended data structure. ©2009IEEE.

关键词： Data structures

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A Study of Two Types of Introductory Exercise Problems for Network Programming Learning with Python 23

A Study of Two Types of Introductory Exercise Problems for N...

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11th International Conference on computer and Communications Management, ICCCM 2023

作者： Lu, Xiqin Funabiki, Nobuo Ueda, Kiyoshi Kao, Wen-Chung Department of Information and Communication Systems Distributed System Design Lab. Okayama University Okayama Japan Department of Computer Science Control Software Lab. Nihon University Koriyama Japan Department of Electrical Engineering National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9798400707735

Network programming is the act of writing computer codes for communications between programs or processes in different computers across networks. It is crucial for applications and services using networks, including e-commerce, gaming, and social media. However, university courses of educating it are very limited. As a result, it has become important to develop and offer IT tools to support self-studies of network programming by novices. In this paper, we present a study of two types of introductory exercise problems, namely, Grammar-concept Understanding Problem (GUP) and Comment Insertion Problem (CIP), for self-studies of five basic network protocols of TCP/IP, ARP, SMTP, POP3, and SSH with Python. A GUP instance requests to answer the keyword such as a library function in the given source code that corresponds to the grammar concept described in the question. A CIP instance requests to insert the comment at each blank of the code. String matching is adopted to mark any answer at the browser-based answer interface. Through solving them, it is expected to understand the meaning of important words and the code structure for network programming. As preliminary evaluations, we generated six GUP and CIP instances respectively, and assigned them to 10 students in Okayama University, Japan. The results confirmed that the proposal is proper for novices to learn network programming with Python. © 2023 ACM.

关键词： Python

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Effect of via-transitions on signal integrity using power transmission lines

Effect of via-transitions on signal integrity using power tr...

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IEEE Workshop on Signal Propagation on Interconnects (SPI)

作者： David C. Zhang Madhavan Swaminathan David Keezer School of Electrical and Computer Engineering Center for Co-design of Chip Package System Georgia Institute of Technology Atlanta GA USA

Transmission lines carrying high-speed I/O signals that traverse through different metal layers in a printed circuit board suffer from return path discontinuities. As a result, significant amount of electromagnetic energy can couple to surrounding circuits and the power distribution network. In this work, we designed three printed circuit board (PCB) test vehicles using different power distribution topologies. One of them was based on a recently proposed power delivery method using power transmission lines (PTL). The other two were designed according to conventional power-ground plane pair approach. We show through measurement that PTL-based design provides less than -40dB of crosstalk between a signal line with multiple via-transitions and a nearby victim line. Measured data also showed that the PTL-based test vehicle had more than 68% of power supply noise reduction as compared to conventional designs.

关键词： Vehicles Ports (computers) Power supplies Transmission line measurements Couplings Routing Noise measurement

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Map Based Indoor Robot Navigation and Localization Using Laser Range finder

Map Based Indoor Robot Navigation and Localization Using Las...

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International Conference on Control, Automation, Robotics and Vision

作者： Shung Han Cho Sangjin Hong Department of Electrical and Computer Engineering Mobile System Design Laboratory Stony Brook University - SUNY Stony Brook NY USA

ISBN: (纸本)9781424478149

This paper presents a map based robot navigation and localization algorithm using laser range finder for indoor environments. A navigation path is given by the sequence of grids and global map information is represented by the list of vertexes. The grid based navigation facilities path planning as well as complements localization with priori information of the grid sequence. The pattern of vertexes is represented by distance, adjacency, and slant among them for the comparison between map information and range data. A mobile robot is globally localized by finding the matched pattern between the set of vertexes from the map and the set of vertexes from the range data. The proposed method is verified with actual range data from laser range finder.

关键词： map representation indoor robot navigation localization laser range finder

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Adaptive Lifting Scheme for ECG QRS complexes detection and its FPGA implementation

Adaptive Lifting Scheme for ECG QRS complexes detection and ...

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International Conference on BioMedical engineering and Informatics (BMEI)

作者： Yan Li Hang Yu Lai Jiang Lixiao Ma Zhen Ji Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China

For ECG QRS complexes detection, an Adaptive Lifting Scheme (ALS) has been developed and successfully implemented in Field Programmable Gate Array (FPGA). Realized under XUP Virtex-II Pro environment, the system consists of Top Configuration Module, Detection module and ALS module. Tested by the samples generated from the MIT-BIH ECG Database, its detection accuracy is higher than 99.681%, fulfilling ECG signal processing requirements. Comparing with the same algorithm realized with C codes under TI's TMS320VC5509A DSP system, more than 20% of processing time is saved.

关键词： Field programmable gate arrays Electrocardiography Digital signal processing Databases Accuracy Signal processing algorithms

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Intelligent Data Analysis for Diagnostics of Alcohol Dependency

Intelligent Data Analysis for Diagnostics of Alcohol Depende...

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Annual IEEE Symposium on computer-Based Medical systems

作者： Petra Povalej Matej Kravos Peter Kokol Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Slovenia Psychiatric Hospital Ormož Ormoz Slovenia

The alcohol dependency is hard to diagnose since none of the existing laboratory markers has sufficient specificity and sensitivity. Therefore the goal of our study was to find better laboratory markers and / or their combinations. For that purpose the intelligent data analysis using the decision tree induction method was used. The results show that the combination of three or even two markers can prove alcohol dependency with almost 85% accuracy. However the remark has to be made that the induced decision tree offers a qualitatively different access to diagnostic evaluation of laboratory findings and varies from common practice, because it sets up its new and own borders and criteria what is the unlike from generally accepted or set up reference values. All selected markers are widely accessible, inexpensive and part of a routine laboratory tests.

关键词： Data analysis Laboratories Decision trees Medical diagnostic imaging Alcoholism Testing Biochemistry Databases Decision making Learning systems

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Digital hardware organization course for SoC program

Digital hardware organization course for SoC program

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IEEE International Conference on Microelectronic systems Education

作者： P. Ellervee H. Tenhunen Department of Computer Engineering Tallinn Technical University Estonia Electronic System Design Laboratory Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)0769511562

In this paper we describe our approach towards the second level digital techniques course suited for system-on-Chip (SoC) oriented curriculum. Due to enhanced utilization of synthesis techniques and higher level block-oriented design, new requirements for digital hardware design are set up. Our working hypothesis is that the course focus needs to be in a systematic working set based on general transformation and refinements are more important than a presentation of detailed and specific target solutions. Thus the student should master the methodology and understand the underlying principles, which will enable him or her, to utilize more effectively the advanced VHDL synthesis techniques, which are covered in the follow-up course.

关键词： Hardware Electronic mail system-on-a-chip Integrated circuit technology Logic Laboratories design engineering Integrated circuit synthesis Microelectronics Digital systems

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