检索结果-内蒙古大学图书馆

2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021

作者： Fagundes, Leonardo A. Souza, Vitor Barbosa Brandao, Alexandre S. Núcleo de Especialização em Robótica Federal University of Viçosa Department of Electrical Engineering and Graduate Program on Computer Science Viçosa Brazil Federal University of Viçosa Graduate Program on Computer Science Department of Informatics Viçosa Brazil

ISBN: (纸本)9780738131153

Unmanned Aerial Vehicle (UAV) systems are being increasingly used in a broad range of applications requiring extensive communications either to interconnect the UAVs with each other or to connect them with Ground Control Stations (GCS). Due to the complexity and difficulty of performing long distance experiments with these robots, simulation becomes a viable and necessary alternative. However, focusing either on the modeling of UAV operations or communication dynamics, available simulation tools are not able to capture the complex interdependencies between these two aspects, especially in applications where extensive communications are required. The main contribution of this work is the modeling and implementation of strategies for enhancing connectivity of a UAV performing long-distance navigation tasks, taking into account applications' requirements. The proposed strategies aim at assessing the impact of frequent handovers between wireless access points in terms of packet loss and available bandwidth. The first strategy prioritizes maintaining a connection until the signal-to-noise ratio (SNR) observed by the robot reaches a predefined threshold. For this, it is assumed that the data to be transmitted is small enough so that the robot may change its modulation to obtain smaller bandwidths while improving connection time. The second one prioritizes bandwidth availability, thus, it always searches for a network that is able to offer data rates higher than a minimum threshold. A hybrid model is validated by considering the characteristics of each individual strategy. The capabilities of the simulation tool designed for this work are illustrated through some case-study scenarios. © 2021 IEEE.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Benchmarking A New Dataset for Coffee Bean Defects Classification Based on SNI 01-2907-2008

Benchmarking A New Dataset for Coffee Bean Defects Classific...

引用

Information Technology Research and Innovation (ICITRI), International Conference on

作者： Made Windu Antara Kesiman Ismail Sulaiman I Made Dendi Maysanjaya Kadek Teguh Dermawan Dept. of Informatics Engineering Virtual Vision Image and Pattern Research Group Universitas Pendidikan Ganesha Bali Indonesia Program Study Teknologi Hasil Pertanian Faculty of Agriculture Universitas Syiah Kuala Banda Aceh Indonesia

To develop a device which can determine automatically the quality of coffee beans, the module to identify and classify coffee bean defects based on digital images processing is needed. For this reason, a new dataset of coffee bean defect images is built in this research. 3 classes were defined and obtained from the image sample of coffee beans, namely good coffee beans, defective coffee beans, and non-valid coffee beans. Moreover, specifically for the class of defective coffee beans, the new dataset also provides ground truth image samples for 17 classes of coffee bean with defects which was defined by SNI 01-2907-2008. Two Convolutional Neural Network (CNN) architecture models, InceptionResnetV2 and MobileNet, were tested to do an initial benchmarking process to classify coffee beans and their types of defects. Both architectures show very promising results to classify coffee bean images in 3-classes. With 92.52% of accuracy, MobileNet outperforms slightly InceptionResnetV2. Both architectures are fairly easy to classify the 3-classes of coffee bean images. But the experimental results indicate that the task of classifying more specifically the 17 classes of different types of defects in coffee beans is still quite difficult. Although the accuracy of InceptionResnetV2 of 53.35% seems much higher than the accuracy of MobileNet, the two architectures still seem to be struggling to identify each type of coffee bean defect. This benchmarking results will serve as the initial basis that helps to analyze the level of complexity of problems in the coffee bean new dataset, as well as the basis for further investigations and research processes to improve the performance of the future coffee bean classifier machine.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimizing CLABSI Prediction: Data and Process Modeling Approach for Enhanced Model Performance

Optimizing CLABSI Prediction: Data and Process Modeling Appr...

引用

2024 Global Digital Health Knowledge Exchange and Empowerment Conference, gDigiHealth.KEE 2024

作者： Daboor, Mohammad Kharbat, Faten Azzuni, Fathi Mueen Sultan, Iyad Odeh, Mohammad King Hussein Cancer center Nursing Department Amman Jordan College of Engineering Al Ain University Abu Dhabi United Arab Emirates Kanad Hospital AlAin Pediatric Department Abu Dhabi United Arab Emirates King Hussein Cancer Center Department of Pediatrics Amman Jordan Cancer Care Informatics Program Amman Jordan Jordan College of Art Technology and Environment University of the West of England Bristol United Kingdom Global Academy for Digital Health Bristol United Kingdom

ISBN: (纸本)9798331531331

Central Line-Associated Bloodstream Infections (CLABSIs) are important Healthcare-Associated Infections (HAI) resulting in increased morbidity, mortality, and medical care costs. Data relevance, quality, and appropriateness are crucial characteristics for any effective and successful predictive model including CLABSI prediction. This study tackles the problem of finding out which among many possible features might be most representative or relevant to predict CLABSls by proposing a new objective method of selecting features;we integrate text mining techniques with process modeling thus making it possible for us to know objectively which amongst them are significant ones that should always reflect in any dataset used for CLABSI prediction. What our approach does is to enhance the strength and accuracy of predictive models by providing verified sets of features as shown by results achieved herein. Also, this research brings into focus such points like having validated data as well process models which may play a role in determining the readiness levels of CLABSI dataset at hospital settings. © 2024 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Need Analysis of Interactive Multimedia Development for Virtual Learning in Pandemic 4

Need Analysis of Interactive Multimedia Development for Virt...

引用

4th International Conference on Electrical, Electronics, informatics, and Vocational Education, ICE-ELINVO 2021

作者： Lempas, J.F. Soenarto, S. Barahama, A.D. Instructional Technology Post-Graduate Program Universitas Negeri Yogyakarta Jalan Colombo 01 Daerah Istimewa Yogyakarta 55281 Indonesia Department of Electronics and Informatics Engineering Education Post-Graduate Program Universitas Negeri Yogyakarta Jalan Colombo 01 Daerah Istimewa Yogyakarta 55281 Indonesia

The pandemic that has not ended has an impact on changing the educational paradigm. Existing conditions demand to continue to use virtual learning. During the epidemic, this study will examine students' demand for interactive multimedia in virtual learning. The interviews reveal that the media that teachers provide in virtual learning during this pandemic has limits. Data was gathered through interviews and questionnaires given to teachers and students. The student requirements questionnaire reveals that interactive multimedia is the most effective instructional medium for pupils. This study is part of a larger investigation of the evolution of multimedia learning during a pandemic. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Humans vs. ChatGPT: Evaluating Annotation Methods for Financial Corpora

Humans vs. ChatGPT: Evaluating Annotation Methods for Financ...

引用

IEEE International Conference on Big Data

作者： Jamshed Kaikaus Haoen Li Robert J. Brunner Informatics Program University of Illinois Urbana-Champaign Urbana Illinois USA Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh Pennsylvania USA Department of Accountancy University of Illinois Urbana-Champaign Urbana Illinois USA

Given the vast amount of unstructured financial text data available today, there is a high demand for reliable, quality annotations to facilitate robust model development. However, traditional methods can often be expensive and time-inefficient. In this study, we investigate annotations for emotion, sentiment, and cognitive dissonance generated by the large language models (LLMs), GPT-3.5 and GPT-4, for quarterly earnings conference calls and compare them against human annotations obtained via traditional methods. We also investigate different prompt engineering choices on LLM annotation quality, experimenting with 4 styles of prompts centered around varying the amount of contextual information given and how it is presented to the models. Our results show the GPT models are not only more consistent and reliable than human annotators, but also provide annotations in a more cost- and time-efficient manner.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Topic Relation Graph Construction to Identify Challenges in Introducing programming in Indonesian K-12 Education

Topic Relation Graph Construction to Identify Challenges in ...

引用

Smart Technology (ICE-SMARTec), IEEE International Conference on

作者： Mewati Ayub Oscar Karnalim Hapnes Toba Maresha Caroline Wijanto Hans Dulimarta Williyandie Saputra Tabitha Emanuella Kotambunan Master Program of Computer Science Maranatha Christian University Bandung Indonesia Dept. of Computer Science and Engineering Ewha Womans University Seoul South Korea School of Computing Grand Valley State University Michigan USA Informatics Engineering Maranatha Christian University Bandung Indonesia

programming can help K-12 students to develop their 21st-century core skills. Despite the benefits, programming is not common to be delivered in Indonesian K-12 education. There is a need to understand potential challenges in introducing programming to K-12 students. We developed a questionnaire survey covering four identified dimensions of challenges: administrative, facilities, teachers, and students. We also asked about common programming assessments and their preferred software features for teaching programming. Forty K-12 teachers were invited to complete the survey. The responses were analyzed with thematic analysis using a bigram-based Latent Dirichlet Allocation topic modeling and descriptive statistics. Our study shows that the challenges include limited learning modules, an insufficient number of computers, limited programming skills, and limited computational thinking skills. Scratch was the most common programming language used and many programming assessments were about debugging a program or writing a small program. Visualization and animation can be helpful in teaching programming.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Co-Design Approaches Involving Older Adults in the Development of Electronic Healthcare Tools: A Systematic Review 18

Co-Design Approaches Involving Older Adults in the Developme...

引用

18th World Congress on Medical and Health informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021

作者： Cole, Amy Adapa, Karthik Richardson, Daniel R. Mazur, Lukasz M. Carolina Health Informatics Program University of North Carolina Chapel HillNC United States Division of Healthcare Engineering Dept. of Radiation Oncology University of North Carolina Chapel HillNC United States Unc Lineberger Comprehensive Cancer Center University of North Carolina Chapel HillNC United States

ISBN: (纸本)9781643682648

We present evidence on the current state of utilizing co-design approaches involving older adults in developing electronic healthcare tools (EHTs). Research gaps were identified in defining the stages, involvement processes, and levels of participation using existing theoretical frameworks. Future studies should explore both involvement processes and levels of participation to optimally empower and collaborate with older adults in developing EHTs. © 2022 International Medical informatics Association (IMIA) and IOS Press.

关键词： Medical informatics

来源：评论

学校读者我要写书评

暂无评论

“Is It Future or Is It Past?”: From Self-contained Microtasks to AI-driven Collaborative Crowdsourcing

“Is It Future or Is It Past?”: From Self-contained Microta...

引用

Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Daniel Schneider Marcos Antonio De Almeida Ramon Chaves Benjamim Fonseca Hesam Mohseni António Correia Postgraduate Program in Informatics (PPGI) Federal University of Rio de Janeiro Rio de Janeiro Brazil Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil INESC TEC and University of Trás-os-Montes e Alto Douro Vila Real Portugal Faculty of Information Technology University of Jyväskylä Jyväskylä Finland

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

Interest in artificial intelligence (AI)-driven crowd work has increased during the last few years as a line of inquiry that expands upon prior research on microtasking to represent a means of scaling up complex tasks through AI mediation. Despite the increasing attention to the macrotask phenomenon in crowdsourcing, there is a need to understand the processes, elements, and constraints underlying the infrastructural and behavioral aspects in such form of crowd work when involving collaboration. To this end, this paper provides a first attempt to characterize some of the research conducted in this direction to identify important paths for an agenda comprising key drivers, challenges, and prospects for integrating human-centered AI in collaborative crowdsourcing environments.

关键词： Crowdsourcing Human computer interaction Collaboration Artificial intelligence Mediation Robots Optimization

来源：评论

学校读者我要写书评

暂无评论

Trajectory Analysis of Inter-Island Logistics Transportation for Aggregate Material Using Web-Based Information

Trajectory Analysis of Inter-Island Logistics Transportation...

引用

Technology Innovation and Its Applications (ICTIIA), International Conference on

作者： Aji Suraji Syarifuddin Ishak Prabowo Prabowo Muhammad Fatkhurrozi Gholiqul Amrodh Alawy Rangga Pahlevi Putra Dept. of Civil Engineering University of Widyagama Malang Malang City Indonesia Study Program of D4 Eng. Tech and Civil Building Maintenance Malang State University Malang City Indonesia Dept. of Ocean Engineering Institut Teknologi Sumatera Lampung Selatan Regency Indonesia Dept. of Informatics Engineering University of Widyagama Malang Malang City Indonesia

ISBN: (数字)9798350351613

ISBN: (纸本)9798350351620

Transportation of material aggregates over long distances and between islands requires a long time by changing modes of transportation. Therefore, determining a material aggregate travel trajectory model using a web database is something that can help in logistics movement analysis. This study aims to create a web-based material aggregate transportation trajectory model. The data collection method involves extracting data with Google Maps which shows distance and time indications. Next, validation is carried out in the field with a direct survey at the location. The analytical method uses statistical methods to create modeling using a linear regression model approach and statistical tests using anova. The results of the study show that the linear regression model is simple with an independent variable coefficient of 0.0306 and an R-square of 0.8649. Meanwhile, using the ANOVA test, it was stated that the modeling results were quite significant and the model could be used to make predictions.

关键词： Analytical models Aggregates Linear regression Loading Transportation Predictive models Mathematical models Trajectory Analysis of variance Logistics

来源：评论

学校读者我要写书评

暂无评论

Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning

arXiv

引用

arXiv 2024年

作者： Huang, Chun-Kai Hsieh, Yi-Hsien Chien, Ta-Jung Chien, Li-Cheng Sun, Shao-Hua Su, Tung-Hung Kao, Jia-Horng Lin, Che Taiwan Data Science Degree Program NTU Taiwan Department of Electrical Engineering NTU Taiwan Division of Gastroenterology and Hepatology NTU Hospital Taiwan Hepatitis Research Center NTU Hospital Taiwan Graduate Institute of Clinical Medicine College of Medicine NTU Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taiwan Smart Medicine and Health Informatics Program NTU Taiwan

Multivariate time series (MTS) data, when sampled irregularly and asynchronously, often present extensive missing values. Conventional methodologies for MTS analysis tend to rely on temporal embeddings based on timestamps that necessitate subsequent imputations, yet these imputed values frequently deviate substantially from their actual counterparts, thereby compromising prediction accuracy. Furthermore, these methods typically fail to provide robust initial embeddings for values infrequently observed or even absent within the training set, posing significant challenges to model generalizability. In response to these challenges, we propose SCAlable Numerical Embedding (SCANE), a novel framework that treats each feature value as an independent token, effectively bypassing the need for imputation. SCANE regularizes the traits of distinct feature embeddings and enhances representational learning through a scalable embedding mechanism. Coupling SCANE with the Transformer Encoder architecture, we develop the Scalable nUMerical eMbeddIng Transformer (SUMMIT), which is engineered to deliver precise predictive outputs for MTS characterized by prevalent missing entries. Our experimental validation, conducted across three disparate electronic health record (EHR) datasets marked by elevated missing value frequencies, confirms the superior performance of SUMMIT over contemporary state-of-the-art approaches addressing similar challenges. These results substantiate the efficacy of SCANE and SUMMIT, underscoring their potential applicability across a broad spectrum of MTS data analytical tasks. Copyright © 2024, The Authors. All rights reserved.

关键词： Embeddings

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：