检索结果-内蒙古大学图书馆

20th International Symposium on Algorithmics of Wireless Networks, ALGOWIN 2024

作者： Mertzios, George B. Nikoletseas, Sotiris Raptopoulos, Christoforos Spirakis, Paul G. Department of Computer Science Durham University Durham United Kingdom Computer Engineering and Informatics Department University of Patras Patras Greece Department of Mathematics University of Patras Patras Greece Department of Computer Science University of Liverpool Liverpool United Kingdom

ISBN: (纸本)9783031745799

We consider random simple temporal graphs in which every edge of the complete graph Kn appears once within the time interval [0, 1] independently and uniformly at random. Our main result is a sharp threshold on the size of any maximum δ-clique (namely a clique with edges appearing at most δ apart within [0, 1]) in random instances of this model, for any constant δ. In particular, using the probabilistic method, we prove that the size of a maximum δ-clique is approximately 2lognlog1δ with high probability (whp). We note that, even though the random simple temporal graph contains Θ(n2) overlapping δ-windows, which (when viewed separately) correspond to different random instances of the Erdős-Rényi random graphs model, the size of the maximum δ-clique in the former model and the maximum clique size of the latter are approximately the same. Furthermore, we show that the minimum interval containing a δ-clique is δ-o(δ) whp. We use this result to show that any polynomial time algorithm for δ-Temporal Clique is unlikely to have very large probability of success. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： probabilistic method Simple random temporal graph δ-temporal clique

来源：评论

学校读者我要写书评

暂无评论

Disease Classification in the Cotton Using Convolution Neural Networks

Disease Classification in the Cotton Using Convolution Neura...

引用

International Conference on Advances in Data science and Computing Technologies, ASDC 2022

作者： Sharma, Aviral Chhabra, Gunjan School of Computer Science Department of Informatics UPES Uttarakhand Dehradun India Department of Computer Science and Engineering GEHU Uttarakhand Dehradun India

ISBN: (纸本)9789819936557

The present research focuses on an integrated architecture for extraction and identification of disease in the cotton plants. The deep learning architecture provided in the paper is capable of extracting the features from the cotton images and then create feature map of the same. The methods provide an automated approach for disease detection using image parts of various plant parts. The proposed methodology provides a unified approach for detection of major cotton diseases, namely bacterial blight, cotton leaf curl virus and wilt. The model can implemented in mobile applications for mass deployments and timely intervention be provided for protection of crops. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cotton

来源：评论

学校读者我要写书评

暂无评论

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm 39

Open-Set Heterogeneous Domain Adaptation: Theoretical Analys...

引用

39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Pham, Thai-Hoang Wang, Yuanlong Yin, Changchang Zhang, Xueru Zhang, Ping Department of Computer Science and Engineering The Ohio State University United States Department of Biomedical Informatics The Ohio State University United States

ISBN: (纸本)157735897X

Domain adaptation (DA) tackles the issue of distribution shift by learning a model from a source domain that generalizes to a target domain. However, most existing DA methods are designed for scenarios where the source and target domain data lie within the same feature space, which limits their applicability in real-world situations. Recently, heterogeneous DA (HeDA) methods have been introduced to address the challenges posed by heterogeneous feature space between source and target domains. Despite their successes, current HeDA techniques fall short when there is a mismatch in both feature and label spaces. To address this, this paper explores a new DA scenario called open-set HeDA (OSHeDA). In OSHeDA, the model must not only handle heterogeneity in feature space but also identify samples belonging to novel classes. To tackle this challenge, we first develop a novel theoretical framework that constructs learning bounds for prediction error on target domain. Guided by this framework, we propose a new DA method called Representation Learning for OSHeDA (RL-OSHeDA). This method is designed to simultaneously transfer knowledge between heterogeneous data sources and identify novel classes. Experiments across text, image, and clinical data demonstrate the effectiveness of our algorithm. Copyright © 2025, Association for the Advancement of Artificia Intelligence (***). All rights reserved.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Assessing students' awareness and education of web accessibility in web development and interface design programs 10

Assessing students' awareness and education of web accessibi...

引用

10th International Conference on Socio-Technical Perspectives in Information Systems, STPIS 2024

作者： Henriksson, Elin Uddstrom, Anna van Bree, Lotte Department of Computer Science and Informatics School of Engineering Jönköping University Jönköping Sweden

In an era of growing digitization, technology is essential for communication and daily life. However, inaccessible websites, including in Sweden, create barriers for individuals with disabilities, often due to insufficient education and awareness among web developers. Our quantitative study aimed to assess the status of web accessibility education within Swedish web development and interface design programs. We analyzed curricula and surveyed 63 final-year students across 23 programs. Findings show that while most programs (18 out of 23) include web accessibility, integration levels vary. Only 2% of courses offered standalone accessibility objectives, and 7% incorporated it within other courses, leaving 91% without any. Student knowledge varied;69.8% were aware of accessibility guidelines and laws, but 30.2% were not. Additionally, only 26.2% of students reported acquiring knowledge about accessibility guidelines and laws from their current education. This underscores the need for better web accessibility education. © 2024 Copyright for this paper by its authors.

关键词： Accessibility accessibility guidelines education interface design WCAG web accessibility web development

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of Wearable Internet of Things Devices for Indoor Positioning 10

Performance Evaluation of Wearable Internet of Things Device...

引用

10th IEEE World Forum on Internet of Things, WF-IoT 2024

作者： Papadopoulos, George Spachos, Petros University of Thessaly Department of Computer Science and Biomedical Informatics Greece University of Guelph School of Engineering GuelphON Canada

ISBN: (纸本)9798350373011

Indoor localization and tracking services are necessary for several popular applications from asset monitoring to location-based marketing. The use of Internet of Things (IoT) devices in those services has increased due to their low cost and ease of deployment. However, indoor services pose significant challenges due to the lack of GPS signals as well as the complexity of the indoor environment. Alternative approaches, mainly including wireless technologies, should be considered. In this work, we examine the feasibility of using wearable IoT devices for indoor tracking. Specifically, we use smartwatches and we examine the performance of Wi-Fi and Bluetooth Low Energy (BLE) for indoor tracking. According to experimental results, BLE outperformed Wi-Fi in terms of energy efficiency while Wi-Fi, on the other hand, demonstrated a slightly better accuracy in Line of Sight conditions. © 2024 IEEE.

关键词： Bluetooth

来源：评论

学校读者我要写书评

暂无评论

A Terramechanics-based Dynamic Model for Motion Control of Unmanned Tracked Vehicles

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2024年 1-14页

作者： Zhang, Ruizeng Zhou, Wei Liu, Haiou Gong, Jianwei Chen, Huiyan Khajepour, Amir School of Mechanical Engineering Beijing Institute of Technology Beijing China School of Computer Science and Informatics Cardiff University Cardiff U.K Department of Mechanical and Mechatronics Engineering University of Waterloo Waterloo Canada

Existing terramechanics-based dynamic models for tracked vehicles (TRVs) are widely used in dynamics analysis. However, these models are incompatible with model-based controller design due to their high complexity and computational costs. This study presents a novel and simplified terramechanics-based dynamic model for TRVs that can be used in optimization-based real-time motion controller design. To this end, we approximated the track-ground interactions with an averaged term of the track-ground shear stresses to make the model computationally efficient and linearizable. By introducing the concepts of slip ratio and slip angle in the field of wheeled vehicles, the terramechanics-based dynamic model was finally simplified into a compact and practical single-track dynamic model reducing the demand for precise slip ratio measurements. The single-track model enables us to design an efficient motion control scheme by considering lateral and longitudinal dynamics separately. Finally, the proposed dynamic model was verified and validated under various road conditions using a real TRV. Additionally, the performance of different models was compared in simulation as an example to demonstrate that the proposed model outperforms the existing ones in TRV path-following tasks. IEEE

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

Fine-Tuning Deep Learning Model for Detecting Indonesian Traffic Accident Tweet 6

Fine-Tuning Deep Learning Model for Detecting Indonesian Tra...

引用

6th International Conference on computer and informatics engineering, IC2IE 2023

作者： Adi, Rizky Fukumoto, Fumiyo Irnawan, Bassamtiano Renaufalgi Politeknik Negeri Jakarta Department of Computer and Informatics Engineering Depok Indonesia University of Yamanashi Department of Computer Science and Engineering Yamanashi Japan

ISBN: (纸本)9798350345162

Twitter is one of Indonesia's most used social media, with total visits reaching 192 million visits per month, making it the fifth most-visited website in Indonesia. Twitter users exchange information with each other daily. One of them is a traffic accident event. With over 100,000 cases every year from 2017-2021, it is not usual to see a tweet that contains traffic accident information. By implementing text classification, traffic accidents can be detected through tweets and used to send alert messages to emergency responders to respond as quickly as possible. Previous research used a machine learning approach to solve this text classification problem. The study resulted in the best accuracy of 85% from the SVM model, which leaves room for improvement using state-of-the-art deep learning models. This research proposes a transfer learning method using two BERT-based and two RoBERTa-based pre-trained models, namely IndoBERT, IndoBERTweet, Indonesian RoBERTa Base Wiki, and Indonesian RoBERTa Base OSCAR to create the best model to classify tweets that contain traffic accident information. We used two kinds of fine-tuning architecture: the vanilla version fine-tuning architecture and the modified version, which combines the pre-trained model with CNN. This study used 1,002 manually labeled tweets, where 360 were labeled as traffic accident tweets. The experiment found that transfer learning from a pre-trained model Indonesian RoBERTa OSCAR provided the best result with an f1-score of 88.73 % and an accuracy of 92%, which means a 7% accuracy improvement over the previous research's best model. © 2023 IEEE.

关键词： BERT RoBERTa Text Classification Traffic Accident Transfer Learning Tweet

来源：评论

学校读者我要写书评

暂无评论

Tackling an Unbalanced Dataset for Classifying Indonesian E-Commerce Reviews Using Multi Word Embedding Model 8

Tackling an Unbalanced Dataset for Classifying Indonesian E-...

引用

8th International Conference on informatics and Computing, ICIC 2023

作者： Adi, Rizky Irnawan, Bassamtiano Renaufalgi Li, Jiyi Politeknik Negeri Jakarta Department of Computer and Informatics Engineering Depok Indonesia University of Yamanashi Department of Computer Science and Engineering Kofu Japan

ISBN: (纸本)9798350342604

Product reviews are an integral part of ecommerce. By Q2 2020 alone, the average of e-commerce visitors in Indonesia almost reached 400 million. This vast amount of traffic resulting a massive amount of product review information. Product reviews in Indonesia are usually paired with a rating system from one to five based on user satisfaction with the product. Mostly, the number of reviews in each rating is unbalanced. Ratings 5, 4, and 1 are usually more frequent than ratings 2 and 3. This imbalanced data makes classification challenging to categorize the review rating, leading to inaccurate predictions for the rating with fewer data than the others. Previous research used various approaches for classifying review ratings, such as machine learning and fine-tuning a state-of-the-art deep learning model. In this research, we propose a new approach that leverages multiple-word embedding combined with CNN to deal with the highly unbalanced dataset problem. By leveraging multiple-word embedding techniques, the model can extract more features from the review text. We also proposed an extended pipeline to enhance the model performance. The proposed model and pipeline perform better than the fine-tuned Indonesian BERT-based and RoBERTa-based pre-trained models baseline with 0.93 accuracy and 0.82 F1-Macro scores. © 2023 IEEE.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

Offshore Software Maintenance Outsourcing Process Model Validation:A Case Study Approach

引用

computers, Materials & Continua 2023年第3期74卷 5035-5048页

作者： Atif Ikram Masita Abdul Jalil Amir Bin Ngah Adel Sulaiman Muhammad Akram Ahmad Salman Khan Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala TerengganuMalaysia Department of Computer Science&Information Technology Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajranSaudi Arabia Department of Software Engineering Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan

The successful execution and management of Offshore Software Maintenance Outsourcing(OSMO)can be very beneficial for OSMO vendors and the OSMO *** a lot of research on software outsourcing is going on,most of the existing literature on offshore outsourcing deals with the outsourcing of software development *** frameworks have been developed focusing on guiding software systemmanagers concerning offshore software ***,none of these studies delivered comprehensive guidelines for managing the whole process of *** is a considerable lack of research working on managing OSMO from a vendor’s ***,to find the best practices for managing an OSMO process,it is necessary to further investigate such complex and multifaceted phenomena from the vendor’s *** study validated the preliminary OSMO process model via a case study research *** results showed that the OSMO process model is applicable in an industrial setting with few *** industrial data collected during the case study enabled this paper to extend the preliminary OSMO process *** refined version of the OSMO processmodel has four major phases including(i)Project Assessment,(ii)SLA(iii)Execution,and(iv)Risk.

关键词： Offshore outsourcing process model model validation vendor challenges case study

来源：评论

学校读者我要写书评

暂无评论

Reversible data hiding based on pixel segmentation and prediction for improving hiding capacity

引用

Signal, Image and Video Processing 2024年第6-7期18卷 5043-5059页

作者： Huang, Cheng-Ta Weng, Chi-Yao Zheng, Guo-Ting Weng, Hao-Yu International Bachelor Program in Informatics Yuan Ze University Taoyuan320315 Taiwan Department of Information Management Yuan Ze University Taoyuan320315 Taiwan Department of Computer Science and Information Engineering National Chiayi University Chiayi City600355 Taiwan Department of Computer Science and Artificial Intelligence National Pingtung University Pingtung900391 Taiwan Department of Computer Science and Information Engineering National Central University Taoyuan City320317 Taiwan

The idea of the traditional histogram shifting technique is to hide a message within the cover-image pixel distribution. However, the embedding capacity is limited by the peak point occurrences. To solve this problem, many reversible data hiding (RDH) techniques are developed to combine pixel prediction and histogram shifting to increase the embedding payload. In this paper, a RDH scheme based on chessboard prediction and pixel partitioning is proposed for enhancing the hiding payload. Pixel partitioning is used to separate a pixel into two parts: most significant bit and least significant bit. Then, the chessboard predictor is adopted to generate prediction errors and separate the pixels. Thereafter, histogram shifting is applied to embed the secret messages into prediction errors. Due to the high similarity of adjacent pixels in an image, the generated prediction errors are highly close to zero, resulting in a large embedding space. The experimental results indicate that the proposed method has superior performance in embedding capacity with acceptable image visual quality compared to existing schemes since it adopts the adaptive adjustment strategy to achieve this improved balance. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Pixels

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：