检索结果-内蒙古大学图书馆

IEEE International Conference on Healthcare Informatics (ICHI)

作者： Ming Huang Aditya Khurana George Mastorakos Jiawei Zhou Nansu Zong Yue Yu Julie E. Prigge Christi A. Patten Hongfang Liu Brian A. Costello Department of Artificial Intelligence and Informatics Mayo Clinic Rochester MN USA Mayo Clinic Alix School of Medicine Mayo Clinic Scottsdale AZ USA School of Interactive Computing College of Computing Georgia Institute of Technology Atlanta GA USA Center for Connected Care Mayo Clinic Rochester MN USA Center for Clinical and Translational Science Community Engagement Program Mayo Clinic Rochester MN USA

This work studied message communications on patient portals and examined both the longitudinal trends and the correlations with characteristics of message senders. We analyzed over 5.6 million secure messages sent on the Mayo Clinic patient portal between February 18, 2010, and December 31, 2017. We studied the longitudinal changes in the number of portal messages, patient senders’ demographics and medical conditions (PheCodes), and provider senders’ care settings (e.g., primary or specialty) and practice roles (e.g., physician, nurse practitioner, and registered nurses). When compared to non-message-senders, patient message senders had a significantly higher proportion of the demographics: age 41-60, female, married, white, and English-speaking. From 2010-2017, an individual patient sent an average of 9.8 messages per person while a provider sent 418.4. The average number of PheCodes for all patients regardless of portal usage increased from 7.5 +/-6.9 in 2010 to 10.7 +/- 10.1 in 2017. The Pearson correlation coefficient between average PheCodes per patient and average messages per patient was 0.273 (p < 0.0001). Physicians were the largest proportion of message composers in both primary and specialty care (36.20% of primary, 37.54% of specialty). Starting 2013 onwards, specialty providers comprised the majority of portal providers while primary care providers remained stable around 20-22%. Our results show that patient portals are playing an increasingly significant role in supporting patient-provider communications. The longitudinal growth also sheds light on the possible challenge of communication overload for providers and the healthcare system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards to Beyond 5G Virtual Environment for Cybersecurity Testing in V2X Systems

Towards to Beyond 5G Virtual Environment for Cybersecurity T...

引用

Workshop on Communication Networks and Power Systems (WCNPS)

作者： Giovanni A. Santos João Paulo J. da Costa Antonio Arlis S. da Silva Hamm-Lippstadt University of Applied Sciences (HSHL) Lippstadt Germany Graduate School for Applied Research in North Rhine-Westphalia (PKNRW) Bochum Germany Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Graduate Program in Computing (PPGC) UFRGS Porto Alegre Brazil

Vehicle-to-Everything (V2X) communication has an essential role for enhancing safety, effi-ciency, and overall driving experience of autonomous driving. To meet the requirements of autonomous driving, V2X demands high data-rate connectivity, per-ceived zero-latency, and high reliability. These char-acteristics are inherently linked to future-generation mobile communication technologies, such as Beyond 5G (B5G) also known as 6G. However, current so-lutions for simulating 5G communications lack inte-gration between the user and control planes, making the simulation not reliable since the 5G control plane functionalities are not taken into account. In this sense, this paper proposes a first contribution towards to the platform called Beyond 5G Virtual Environment for Cy-bersecurity Testing in V2X Systems (B5GCyberTestV2X) by integrating the 5G control plane from Open5GS and UERANSIM into the Simu5G simulator. The inclusion of the control plane in 5G urban mobility simulations increases the security and reliability of the V2X commu-nication service. Therefore, in order to show the impact of the 5G control plane, we validate a simulation with a scenario in the presence of a spoofer transmitting false warning information. As shown in our simulation, the 5G control plane does not allow the connection of the spoofer into 5G network, making the cybersecurity tests of 5G-based V2X communication more realistic.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Resampling Techniques to Provide Better Synthesized Input Data to Super-Resolution Deep Learning Model Training

Evaluation of Resampling Techniques to Provide Better Synthe...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Vinicius Sales Ademir Marques Graciela Racolte Anderson Nunes Tainá Guimaraes Daniel Zanotta André Spigolon Luiz Gonzaga Mauricio Roberto Veronez Vizlab - X-Reality and GeoInformatics Lab UNISINOS-São Leopoldo RS Brazil Graduate Program in Applied Computing at Vale do Rio dos Sinos University São Leopoldo RS Brazil CENPES - PETROBRAS Rio de Janeiro Brazil

Hyperspectral images often have low spatial resolution due to the sensor sizes required to capture the required spectral response. Super-resolution (SR) techniques try to mitigate this by injecting more detail in the upscaled image, either with numerical methods or deep learning and Convolution Neural Networks. In the deep learning methods, the models learn image details by inferring a high-resolution (HR) image from a synthetic low-resolution (LR) image that simulates the natural degradation of sensors by applying resampling (to reduce the image detail) and noising (to add small errors and interference). Often disregarded in the literature, the resampling method applied to generate the synthetic image can impact greatly the deep learning model training. This work, evaluate several resampling techniques to measure this impact using the Harvard hyperspectral dataset. Results showed that the Lanczos filter was the best among eight other resampling methods. The Nemenyi and Friedman ranking statistical tests also indicated that the Cubic-Spline, Bicubic, and RMS achieved good results.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Confronting the Challenges of Computational and Social Perspectives of the Data Continuum

引用

Data and Information Management 2020年第2期4卷 119-126页

作者： Murillo, Angela P. Curty, Renata G. Jeng, Wei He, Daqing School of Informatics and Computing Indiana University-Purdue University Indianapolis IndianapolisIN United States Data Curation Program — UCSB Library University of California Santa Barbara United States Department of Library and Information Science National Taiwan University Taipei China School of Computing and Information University of Pittsburgh PittsburghPA United States

As the availability of data is increasing everyday, the need to reflect on how to make these data meaningful and impactful becomes vital. Current data paradigms have provided data life cycles that often focus on data acumen and data stewardship approaches. In an effort to examine the convergence, tensions, and harmonies of these two approaches, a group of researchers participated in an interactive panel session at the Association of Information Science and Technology Annual meeting in 2019. The panel presenters described their various research activities in which they confront the challenges of the computational and social perspectives of the data continuum. This paper provides a summary of this interactive panel. © 2020 Angela P. Murillo et al., published by Sciendo

关键词： Life cycle

来源：评论

学校读者我要写书评

暂无评论

Exploring User Experience of Massive Open Online Courses (MOOCs): A Case Study of Millennial Learners in Jakarta, Indonesia 2020

Exploring User Experience of Massive Open Online Courses (MO...

引用

9th International Conference on Educational and Information Technology, ICEIT 2020

作者： Nurhudatiana, Arfika Caesarion, Alixia Shafira Business Information Systems Program Information Systems Department Faculty of Computing Media Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781450375085

Over the past years, millions of internet users have been taking online classes offered by Massive Open Online Course (MOOC) platforms. This research investigated the user experience of two popularly used MOOC platforms, Coursera and Udemy, by referring to the seven dimensions of user experience (UX) honeycomb including usefulness, usability, desirability, findability, accessibility, credibility, and value. The research was conducted among 77 millennials in Jakarta, Indonesia, covering not only active users of Coursera and Udemy, but also new users with no experience in MOOCs. The exploratory research employed a user participatory evaluation strategy where study participants were given a task to perform learning activities in either Coursera or Udemy platform and provide qualitative and quantitative feedbacks. Qualitative data were gathered through think-aloud approach and semi-structured post-walkthrough interviews, while quantitative data were collected through questionnaire. In overall, all study participants agreed that Coursera and Udemy were very useful and easy to use, and Coursera was perceived to have stronger credibility. Majority of the study participants preferred Udemy for its better findability, affordable pricing, and wide range of course options. It was emphasized that MOOC platform was easier to use for people already familiar with online learning. Therefore, it was recommended that MOOC platforms should improve the learnability of the user interface design so that new users could learn to use MOOC platforms more easily. © 2020 ACM.

关键词： E-learning

来源：评论

学校读者我要写书评

暂无评论

Investigating Cases and Clusters-Based Reuse Policies for Card-Playing Agents

Investigating Cases and Clusters-Based Reuse Policies for Ca...

引用

IEEE Symposium on Computational Intelligence and Games, CIG

作者： Gustavo B. Paulus Daniel P. Vargas Joaquim V. C. Assunção Luis A. L. Silva Federal Institute of Education Science and Technology of Rio Grande do Sul Ibirubá Brazil Graduate Program in Computer Science Federal University of Santa Maria Santa Maria Brazil Applied Computing Department Federal University of Santa Maria Santa Maria Brazil

Computer games continue to present challenging experimental fields for developing Artificial Intelligence (AI) models. With Case-Based Reasoning and Clustering, this work proposes novel cases and clusters-based reuse criteria for implementing card-playing agents with diversified playing skills. Using the game of Truco, a common game in South America, we detail how game actions are reused from past cases selected as query answers for given game problems. In doing so, the majority rule, the probability-based lottery, the probability of victory, and the number of points won reuse policies are used to select a cluster of cases. Then these policies are also used to select game actions from the cases within the selected cluster. Investigating the combined exploration of reuse policies, experiments of different natures evaluate the performance of implemented Truco bots disputing matches against each other. Players in these tournaments are equipped with varied policies and use case bases constructed differently.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Ever more Optimized Simulations of Fermionic Systems on a Quantum Computer 23

Ever more Optimized Simulations of Fermionic Systems on a Qu...

引用

Proceedings of the 60th Annual ACM/IEEE Design Automation Conference

作者： Qingfeng Wang Ze-Pei Cian Ming Li Igor L. Markov Yunseong Nam Chemical Physics Program and Institute for Physical Science and Technology University of Maryland College Park Maryland USA Joint Quantum Institute University of Maryland College Park Maryland USA Atom Computing Inc. Berkeley California USA Nova Ukraine Stanford CA Department of Physics University of Maryland College Park Maryland USA

ISBN: (纸本)9798350323481

Despite using a novel model of computation, quantum computers break down programs into elementary gates. Among such gates, entangling gates are the most expensive. In the context of fermionic simulations, we develop a suite of compilation and optimization techniques that massively reduce the entangling-gate counts. We exploit the well-studied non-quantum optimization algorithms to achieve up to 24% savings over the state of the art for several small-molecule simulations, with no loss of accuracy or hidden costs. Our methodologies straightforwardly generalize to wider classes of near-term simulations of the ground state of a fermionic system or real-time simulations probing dynamical properties of a fermionic system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

MILPdM: A Predictive Maintenance Architecture for the Military Domain

MILPdM: A Predictive Maintenance Architecture for the Milita...

引用

International Conference on Machine Learning and Applications (ICMLA)

作者： Jovani Dalzochio Rafael Kunst Jorge Barbosa Edison Pignaton De Freitas Alécio Binotto Graduate Program in Applied Computing University of Vale do Rio dos Sinos São Leopoldo Brazil Institute of Informatics Federal University of Rio Grande do SuI Porto Alegre Brazil Asset and Edge Optimization IBM Consulting Munich Germany

Equipment monitoring for failure prediction is receiving attention from different sectors of society, such as industry, healthcare, and defense. In the defense domain, assets like military vehicles generate data that one can use to identify behavior changes and anticipate possible real-time failures, avoiding unnecessary maintenance interventions. Failure anticipation is crucial, as assets operated in the military domain perform critical tasks in which unexpected equipment failures result in high material and human costs. Approaches found in the literature typically deal with failure generation, aiming at analyzing the equipment's behavior. This paper proposes a broader approach called MILPdM. This proposal is a failure prediction architecture covering the whole failure prediction and predictive maintenance procedures. We evaluate MILPdM architecture by analyzing an engine-failure scenario where we train models to predict time series by collecting vibration data that describes the degradation of the vehicle's health. Considering the implementation of an LSTM-based neural network and Random Forest, the acquired results lead to a root mean square error of 0.15015 in the best case, which allows to predict the failure status two minutes in advance with only 3 hours of data history. This result shows that MILPdM is capable of anticipating failures with high assertiveness.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Clustering Fracture Data in 3D Outcrop Models with Hierarchical Agglomerative Clustering and Fisher Statistics

Clustering Fracture Data in 3D Outcrop Models with Hierarchi...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Graciela Racolte Ademir Marques Vinicius Ferreira Sales Daniel Capella Zanotta Delano Menecucci Ibanez Mauricio Roberto Veronez Luiz Gonzaga Vizlab — X-Reality and GeoInformatics Lab UNISINOS São Leopoldo RS Brazil Graduate Program in Applied Computing at Vale do Rio dos Sinos University São Leopoldo RS Brazil CENPES PETROBRAS Rio de Janeiro Brazil

Most fracture properties, such as orientation and density, are acquired by interpreting data obtained at the wellbores, while fracture properties between wells are typically derived from seismic data. However, this information is sparse or has low resolution leading to the study and analysis of outcrops. The data acquisition in outcrops is facilitated by its 3D representation in Digital Outcrop Models (DOM) obtained from LiDAR and Photogrammetry. It also allows virtual interpretation and fracture detection. In either case, the 3D fracture data need to be clustered in fracture sets to allow the statistical analysis necessary to upscale and resample the DFN. This clusterization is carried out by methods like k-means and fuzzy, however with caveats, like the prior definition of the number of clusters. In this work, we propose the use of agglomerative hierarchical clustering to cluster 3D fracture data obtained by a KD-Tree segmentation algorithm. Results showed that when compared to k-means, the proposed method presented more compact clusters and balance when considering Fisher’s statistics of dispersion.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse

arXiv

引用

arXiv 2024年

作者： Liu, Guangyuan Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Jamalipour, Abbas Mao, Shiwen Kim, Dong In The College of Computing and Data Science The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The College of Computing and Data Science Nanyang Technological University Singapore The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The Department of Electrical and Computer Engineering Auburn University Auburn United States The School of Electrical and Computer Engineering University of Sydney Australia The Department of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

In the digital transformation era, Metaverse offers a fusion of virtual reality (VR), augmented reality (AR), and web technologies to create immersive digital experiences. However, the evolution of the Metaverse is slowed down by the challenges of content creation, scalability, and dynamic user interaction. Our study investigates an integration of Mixture of Experts (MoE) models with Generative Artificial Intelligence (GAI) for mobile edge computing to revolutionize content creation and interaction in the Metaverse. Specifically, we harness an MoE model's ability to efficiently manage complex data and complex tasks by dynamically selecting the most relevant experts running various sub-models to enhance the capabilities of GAI. We then present a novel framework that improves video content generation quality and consistency, and demonstrate its application through case studies. Our findings underscore the efficacy of MoE and GAI integration to redefine virtual experiences by offering a scalable, efficient pathway to harvest the Metaverse's full potential. © 2024, CC BY.

关键词： Augmented reality

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：