检索结果-内蒙古大学图书馆

23rd International Electronics Symposium, IES 2021

作者： Dewantara, Bima Sena Bayu Pradipta, Giusti Arya Marta, Bayu Sandi Setiawardhana Politeknik Elektronika Negeri Surabaya Dept. of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9781665443463

This paper discusses the coordination system of two mobile robots when working together to complete a task. The system is built using a realistic 3D simulator called V-REP, where the two robot models in the simulator are controlled using two separated API-based programs in the same computer that are developed under Robotic Operating System (ROS) framework. The two program modules carry out the function of controlling navigation and communication. The two modules are connected to each other using a socket data communication model that has been packaged in a ROS node. Based on the results of the experiments that have been carried out, the two robots can work together well to complete the given tasks. © 2021 IEEE.

关键词： Simulators

来源：评论

学校读者我要写书评

暂无评论

Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface 1

Optical Evanescent Field for Direct Observation of Sub-100nm...

引用

1st International Conference on Robotics, engineering, Science, and Technology, RESTCON 2024

作者： Khajornrungruang, Panart Permpatdechakul, Thitipat Suzuki, Keisuke Blattler, Aran Terayama, Yutaka Goto, Daiki Phaisalpanumas, Pipat Bun-Athuek, Natthaphon Phunopas, Amornphun Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Division Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Fukuoka Japan Kyushu Institute of Technology Iizuka-Shi Mechanical Information Science and Technology Division Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Production and Robotics Engineering Bangkok Thailand Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Course Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Industiral Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Bangsue College of Industrial Technology Dept. of Mechanical Engineering Technology Bangkok Thailand

ISBN: (纸本)9798350348842

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes. © 2024 IEEE.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Spatial Mapping of Diphtheria Vulnerability Level in East Java, Indonesia, using Analytical Hierarchy Process - Natural Break Classification 2

Spatial Mapping of Diphtheria Vulnerability Level in East Ja...

引用

2020 2nd International Conference on Enhanced Research and Industrial Application 2020

作者： Fariza, A. Basofi, A. Aryani, M.D. Informatics and Computer Engineering Dept. Politeknik Elektronika Negeri Surabaya Surabaya Indonesia

Diphtheria is a serious infectious disease induced by the Corynebacterium Diphtheriae bacteria and often causes outbreaks (extraordinary events) in various regions. Based on data from the Ministry of Health, East Java is the biggest benefactor to diphtheria cases in Indonesia. Diphtheria cases in East Java tend to increase, especially in 2018 there were 753 diphtheria cases in 38 districts. Efforts made to prevent, treat, and control diphtheria outbreaks by the government are to analyze the level of susceptibility to diphtheria. This paper proposes a new approach to analyze the level of diphtheria susceptibility using the analytical hierarchy process (AHP) and natural breaks classification in East Java Province, Indonesia. AHP method is used to obtain diphtheria susceptibility values based on seven criteria, such as the number of sufferers, number of deaths, DPT 1, DPT 2, DPT 3 immunization, population density, and humidity. Natural break classification is used to classify the vulnerability values from AHP into three levels of vulnerability, consisting of low, medium, and high. The results of the grouping are displayed in the form of spatial mapping in the form of a web-based geographic information system (web-GIS) on the determination of the diphtheria vulnerability level using the AHP-natural breaks classification. The GVF evaluation for 2016, 2017, and 2018 are respectively 0.66, 0.67, and 0.65 (more than 0.5), which means that the proposed method achieved accurate and significant classification. Spatial-temporal analysis for 2013-2018 also achieves accurate and significant with a GVF value of 0.77. The spatial-temporal analysis can predict the high potential for vulnerability. © Published under licence by IOP Publishing Ltd.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Recognition of Food Material and Measurement of Quality using YOLO and WLD-SVM 23

Recognition of Food Material and Measurement of Quality usin...

引用

23rd International Electronics Symposium, IES 2021

作者： Dewantara, Bima Sena Bayu Devy, Azifah Zusrina Bachtiar, Mochamad Mobed Setiawardhana Politeknik Elektronika Negeri Surabaya Dept. of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9781665443463

This paper presents the development of a system for recognizing types of food materials and measuring their quality visually using a camera. The food material can be in the form of meat, vegetables, fruits and other processed food materials such as tempeh and tofu. We build a food material recognition system using YOLOv3-tiny, and measure the quality of food ingredients using the Weber Local Descriptor (WLD) feature which is then classified using the Support Vector Machine (SVM). Based on the results of experiments that have been carried out, the results of the recognition of food materials using YOLOv3-tiny reached 82.02% and the performance of food quality measurement results using WLD-SVM reached 83.33%. © 2021 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Federated Learning-Driven Edge AI for Enhanced Mobile Traffic Prediction

Federated Learning-Driven Edge AI for Enhanced Mobile Traffi...

引用

IEEE Symposium on Network Operations and Management

作者： Hyunsung Kim Yeji Choi Jeongjun Park Lusungu Josh Mwasinga Hyunseung Choo College of Computing and Informatics Sungkyunkwan University Suwon Korea Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea

ISBN: (数字)9798350327939

ISBN: (纸本)9798350327946

The recent surge in mobile traffic has increasingly underscored the importance of Edge AI. The Edge Server (ESs) in Edge AI facilitate precise traffic prediction by collecting regional data and analyzing the characteristics and traffic patterns of adjacent areas. However, existing Edge AI systems for mobile traffic prediction are limited by their reliance on physical proximity for regional selection, failing to effectively leverage the unique infrastructure and lifestyle patterns of each area. This study proposes a novel Edge AI mobile traffic prediction architecture that overcomes the performance limitations of traditional methods by integrating multi Temporal Convolutional Networks-Long Short Term Memory (TCN-LSTM) with clustering techniques that reflect regional characteristics. The proposed approach is unconstrained by distances between regions, hence maximally utilizing unique features of each area. Furthermore, by incorporating Federated Learning (FL), this study significantly reduces the computational load, optimizing the model for real-world applications. The effectiveness of this model is validated across various Edge AI scenarios of different sizes, demonstrating a performance improvement of approximately 30% in Mean Absolute Percentage Error (MAPE) compared to conventional Edge AI system.

关键词： Performance evaluation Analytical models Federated learning Computational modeling computer architecture Traffic control Data models

来源：评论

学校读者我要写书评

暂无评论

5G Impact on the Flow of Wireless Internet Traffic

5G Impact on the Flow of Wireless Internet Traffic

引用

Computing, Networking, Telecommunications & engineering Sciences Applications (CoNTESA), International Conference on

作者： Kledia Tirana Donald Elmazi Dept. of Business Informatics Universiteti Metropolitan Tirana Tirana Albania Dept. of Computer Engineering Universiteti Metropolitan Tirana Tirana Albania

ISBN: (数字)9798331534530

ISBN: (纸本)9798331534547

This paper examines the impact of 5G technology on internet traffic and network capacity management strategies for Communications Service Providers (CSPs). With 5G offering high-speed, low-latency connections, and enhanced support for IoT devices, CSPs face both opportunities and challenges in optimizing their networks for next-generation services. This analysis covers CSP investment strategies, deployment architectures, spectrum utilization, and the economic pressures shaping the shift toward 5G, aiming to highlight effective pathways and potential obstacles in 5G network management and monetization.

关键词： Wireless communication Economics 5G mobile communication Service-oriented architecture Internet of Things Low latency communication Next generation networking Monitoring Faces Investment

来源：评论

学校读者我要写书评

暂无评论

Composite metamorphic relations for integration testing 22

Composite metamorphic relations for integration testing

引用

8th International Conference on computer Technology Applications, ICCTA 2022

作者： Iakusheva, Sofia Khritankov, Anton Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology Russia Faculty of Computer Science Dept. of Software Engineering Hse University Russia

ISBN: (纸本)9781450396226

Metamorphic testing is a testing method for problems without test oracles. Integration testing allows for detecting errors in complex systems that may not be found during the testing of their components. In this paper, we propose a novel approach that applies metamorphic testing in integration testing. The main idea is to develop a composite metamorphic relation for the system represented as an acyclic graph. This relation is a logical function of metamorphic relations for the parts of the system (vertices of the graph). It takes into account the features of the parts. Also, it can simplify the search for failure by identifying the subsystem with error. In this paper's theoretical part, we describe an algorithm of relation design. Then, we apply our method to a bioinformatics system for comparative genetic analysis of tissues using production tools. This experiment proves our method can be applied to real-life pipelines and find errors in them. © 2022 ACM.

关键词： Integration testing

来源：评论

学校读者我要写书评

暂无评论

Zero-Shot Sentiment Analysis Exploring BART Models

Zero-Shot Sentiment Analysis Exploring BART Models

引用

Big Data, Cloud Computing, Data Science & engineering (BCD)

作者： Konstantinos Kyritsis Isidoros Perikos Michael Paraskevas Electrical and Computer Engineering Dept. Computer Technology Institute and Press "Diophantus" University of Peloponnese Patras Greece Computer Engineering and Informatics Department University of Patras Patras Greece

The BART model is an advanced adaptation of transformers introduced by Facebook. It has incorporated elements from both BERT and GPT transformers, enabling significant advancements in language understanding and general speech processing. Utilizing both encoder and decoder components, BART proves versatile for various tasks, including translation, text completion, automatic sentence generation, entity recognition, sentiment analysis, and more. In this study, we focus on the study of pretrained models, BART and a modified version called distilbart, in the context of Zero-Shot Text Classification. In the experimental study we dive into the Zero-Shot technique applied to various pretrained Transformers. Our analysis demonstrates that, depending on the Model we utilize, we can achieve F1 scores of up to 88%, showcasing the model's effectiveness in discerning classes for this Sentiment Analysis problem using the Zero-Shot Text Classification technique.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification

arXiv

引用

arXiv 2024年

作者： Mok, Dahyun Bum, Junghyun Tai, Le Duc Choo, Hyunseung Dept. of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of College of Computing and Informatics Sungkyunkwan University Korea Republic of

Diabetic Retinopathy (DR) is a primary cause of blindness, necessitating early detection and diagnosis. This paper focuses on referable DR classification to enhance the applicability of the proposed method in clinical practice. We develop an advanced cross-learning DR classification method leveraging transfer learning and cross-attention mechanisms. The proposed method employs the Swin U-Net architecture to segment lesion maps from DR fundus images. The Swin U-Net segmentation model, enriched with DR lesion insights, is transferred to generate a lesion map. Both the fundus image and its segmented lesion map are used as complementary inputs for the classification model. A cross-attention mechanism is deployed to improve the model’s ability to capture fine-grained details from the input pairs. Our experiments, utilizing two public datasets, FGADR and EyePACS, demonstrate a superior accuracy of 94.6%, surpassing current state-of-the-art methods by 4.4%. To this end, we aim for the proposed method to be seamlessly integrated into clinical workflows, enhancing accuracy and efficiency in identifying referable DR. Copyright © 2024, The Authors. All rights reserved.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Benchmark of Sampling Based Motion Planners in Bin Picking Manipulation Task 27

Benchmark of Sampling Based Motion Planners in Bin Picking M...

引用

27th International Conference on Automation and Computing, ICAC 2022

作者： Realpe, Sebastian Roldan, Felipe Gonzalez Fajardo, Jose Manuel Hernandez, Juan D. Cardenas, Pedro-F. Universidad Nacional de Colombia Dept. of Mechatronics Engineering Bogotá Colombia Cardiff University School of Computer Science and Informatics Wales Cardiff United Kingdom

ISBN: (数字)9781665498074

ISBN: (纸本)9781665498074

There is a wide variety of motion planning techniques for robots;however, there are few tools to test and compare the performance of motion planners in various environments. This work proposes a test layout for a set of industrial robots to measure their performance in manipulation in a constrained environment. The developed work uses ROS and the benchmarking tool Robowflex. The comparison allowed to obtain the performance results of multiple motion planners in a shorter time than in previous works. These results facilitate the correct choice of a motion planner, which is critical in current industrial environments. The conducted benchmark provides a valuable tool for potential comparisons of new motion strategies to proven and established methods. © 2022 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：