检索结果-内蒙古大学图书馆

IEEE International Conference on Industrial Informatics (INDIN)

作者： Padma Iyenghar Michael Kieviet Elke Pulvermueller Juergen Wuebbelmann innotec GmbH Erlenweg 12 Melle Germany Faculty of Engineering and Computer Science Osnabrueck University of Applied Sciences Germany Software Engineering Research Group University of Osnabrueck Germany

In this paper, a novel chatbot for risk reduction as an aid during machinery design is presented. The general workflow of the chatbot involves the identification of the hazard described by the user using a neural network model followed by an interactive dialog based conversation, in which the risk reduction measures are outlined. A prototype implementation of the chatbot presents the steps to generate and pre-process the training data for Artificial Intelligence (AI) based models. Different neural network models are trained and evaluated for the proposed risk reduction chatbot. A comparative study is presented by employing an in-depth qualitative and quantitative evaluation. The work presented in this paper shows significant promise in ensuring safety awareness, thereby aiding in implementing functional safety in the early stages of machinery design and development.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Exact Formula for the Hazardous Event Frequency

An Exact Formula for the Hazardous Event Frequency

引用

Annual Symposium on Reliability and Maintainability (RAMS)

作者： Armin Zimmermann Andreas Hildebrandt Department of Computer Science and Automation Systems and Software Engineering Group Technische Universität Ilmenau Ilmenau Germany Pepperl+Fuchs SE Mannheim Germany

The remaining risk of safety-instrumented systems is an important non-functional requirement that is regulated by international standards. Several ways towards computing the safety as a function of its relevant design parameters have been studied in the literature. However, the standard approach only covers two special cases of high or low demand, which simplify the treatment by either ignoring the effects of demand rate or test interval on the safety. More detailed treatments in the literature derive Markov models, which can be numerically analyzed, or approximate solutions using Taylor series expansions etc. This paper introduces closed-form exact formulas for the average probability of failure on demand (PFD) and the resulting hazardous event frequency (HEF, or accident rate), taking into account demand rate and test interval. It integrates all cases of low, high and medium demand in one formula. The derivation is based on an analysis of the cyclostationary semi-Markov stochastic process of the safety-integrated system and its symbolic transient analysis over the test interval.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys 48

A Probabilistic Framework for Pruning Transformers Via a Fin...

引用

48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Nguyen, Tan M. Nguyen, Tam Bui, Long Do, Hai Nguyen, Duy Khuong Le, Dung D. Tran-The, Hung Ho, Nhat Osher, Stan J. Baraniuk, Richard G. University of California Department of Mathematics Los Angeles United States Rice University Department of Electrical and Computer Engineering Houston United States Fpt Software Ai Center Ha Noi Viet Nam Vin University College of Engineering and Computer Science Viet Nam Deakin University Applied Artificial Intelligence Institute Geelong Australia The University of Texas Department of Statistics and Data Sciences Austin United States

ISBN: (纸本)9781728163277

Pairwise dot product-based self-attention is key to the success of transformers which achieve state-of-the-art performance across a variety of applications in language and vision, but are costly to compute. It has been shown that most attention scores and keys in transformers are redundant and can be removed without loss of accuracy. In this paper, we develop a novel probabilistic framework for pruning attention scores and keys in transformers. We first formulate an admixture model of attention keys whose input data to be clustered are attention queries. We show that attention scores in self-attention correspond to the posterior distribution of this model when attention keys admit a uniform prior distribution. We then relax this uniform prior constraint and let the model learn these priors from data, resulting in a new Finite Admixture of Keys (FiAK). The learned priors are used for pruning away redundant attention scores and keys in the baseline transformers, improving the diversity of attention patterns that the models capture. We corroborate the efficiency of transformers pruned with FiAK on the ImageNet object classification and WikiText-103 language modeling tasks. Our experiments demonstrate that transformers pruned with FiAK yield similar or better accuracy than the baseline dense transformers while being much more efficient in terms of memory and computational cost. © 2023 IEEE.

关键词： admixture models pruning Transformers

来源：评论

学校读者我要写书评

暂无评论

Internet of Things (IoT) in Smart Cities: A Statistical Survey

Internet of Things (IoT) in Smart Cities: A Statistical Surv...

引用

Business Analytics for Technology and Security (ICBATS), International Conference on

作者： Muhammad Waseem Iqbal Khowla Khaliq Nidal A. Al-Dmour Muhammad Aqeel Nasir Ali K. Hamid Department of Software Engineering Superior University Lahore Pakistan Department of Computer Sciecnce Superior University Lahore Pakistan Department of Computer Engineering College of Engineering Mutah University Jordan School of Computer Science NCBA&E Lahore Pakistan Applied Science Research Center Applied Science Private University Amman Jordan Department of Computer Science Superior University Lahore Pakistan

Internet of things is progressing very rapidly and involving multiple domains of everyday life including environment, governance, healthcare system, transportation system, energy management system, etc. smart city is a platform for collecting and storing the information that is accessed through various sensor-based IoT devices and make their information available in required and authorized domains. This interoperability can be achieved by semantic web technology. In this paper, I have reviewed multiple papers related to IoT in Smart Cities and presented a comparison among the semantic parameters. Moreover, I’ve presented my future domain of research which is about delivering the COVID-19 patients report to the concerned domains by the healthcare system domain.

关键词： Semantic Web COVID-19 Smart cities Scalability Semantics Transportation Medical services

来源：评论

学校读者我要写书评

暂无评论

Experimentation on NN Models for Hazard Identification in Machinery Functional Safety

Experimentation on NN Models for Hazard Identification in Ma...

引用

IEEE International Conference on Industrial Informatics (INDIN)

The use of Artificial Intelligence (AI) in machinery functional safety can enhance efficiency and accuracy by automating tasks previously carried out by humans. This paper presents an experimental evaluation of Neural Network (NN) models for hazard identification in machinery functional safety. The systematic study includes own implementations of NN models using open source building blocks and the use of an open source conversational AI framework with various pipeline configurations. The paper provides a comparative analysis of the qualitative and quantitative parameters for the models and configurations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dispatching Shots Among Multiple Quantum computers: An Architectural Proposal

Dispatching Shots Among Multiple Quantum Computers: An Archi...

引用

Quantum Computing and engineering (QCE), IEEE International Conference on

作者： Giuseppe Bisicchia José García-Alonso Juan M. Murillo Antonio Brogi Department of Computer Science University of Pisa Pisa Italy Quercus Software Engineering Group University of Extremadura Cáceres Spain

Quantum Computing is continuously evolving and expanding. As time goes by, more and more Quantum computer implementations become available, each of them with their own features. In such a scenario, it can be difficult for developers to identify which Quantum computer is the most suitable for their needs. In this paper, different from current works presenting strategies to select only one Quantum computer, we propose a change of perspective. Indeed, due to the probabilistic nature of Quantum Mechanics, performing a computation in a Quantum computer usually requires iterating the same execution many times (called shots), to eventually end with a distribution of the final results. Leveraging this need, our architecture enables selecting many Quantum computers for the same circuit and spreading the shots among them. Such a mechanism offers also the possibility for developers to access the partial distributions obtained from the output of a subset of the selected computers. Finally, our architecture proposes to decouple the decision process from the actual execution of such a decision, by enabling developers to encode their specific custom policies.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Domain-Specific Scientific Impact and its Prediction

Domain-Specific Scientific Impact and its Prediction

引用

2021 International Conference on Artificial Intelligence, ICAI 2021

作者： Amjad, Tehmina International Islamic University Faculty of Basic and Applied Sciences Department of Computer Science and Software Engineering Islamabad44000 Pakistan

ISBN: (纸本)9781665432931

In today's interdisciplinary research society where researchers are interested to participate in more than one discipline and they collaborate across disciplines, it is essential to understand the domain-specific impact of scholars. This study explores the impact of scholars who work in multiple disciplines and predicts scientific impact using multiple features. A Miner dataset is selected as a testbed and 10 sub-domains of computer science are analyzed. Despite today's cross-discipline collaboration trend, there is a high number of scholars who work in a single domain as compared to those who work in multiple domains. Results show that among the 10 disciplines of computer science, 'Network Control' gained high impact in terms of received citations. Various features are used to predict the future impact and 'total papers' yield the highest R2 value followed by 'topic-based citations' and 'total citations'. © 2021 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Integrating Design Psychology in VR Scenarios to Improve Virtual Reality Experiences

Integrating Design Psychology in VR Scenarios to Improve Vir...

引用

Virtual Reality (ICVR), IEEE International Conference on

作者： Hui Liang Haoming Xu Yi Wang Junjun Pan Department of Software Engineering Zhengzhou University of Light Industry Zhengzhou China Department of Rehabilitation General Hospital of Pingmei Shenma Group Pingdingshan China Department of Computer Science and Engineering Beihang University Peking China

ISBN: (数字)9798350364231

ISBN: (纸本)9798350364248

The application of virtual reality (VR) across various sectors is becoming more widespread, playing a pivotal role in the advancement of the metaverse. However, the prevalence of VR sickness undermines user experiences, indicating a pressing need for optimization. Current research primarily focuses on enhancing VR hardware and investigating the relationship between human factors and VR sickness, overlooking the critical aspect of VR content. This article proposes design standards for VR scenarios, grounded in established design psychology theories, and develops six sets of VR scenarios to examine how VR content influences user experiences. We enlisted 150 college students suffering from VR sickness to participate in a study. The findings reveal that incorporating design psychology principles into VR scenarios beneficially affects participants' physiological and emotional responses. Nonetheless, the proposed design standards require further refinement, and future research is needed to validate their effectiveness.

关键词： Metaverse Design standards Virtual reality Pressing Human factors Physiology Hardware Emotional responses Optimization

来源：评论

学校读者我要写书评

暂无评论

Using analytic hierarchy process to evaluate deep learning for infrared target recognition

引用

Multimedia Tools and Applications 2024年第38期83卷 86229-86245页

作者： Xu, Laixiang Cao, Bingxu Wei, Xinhong Li, Bei Su, Jingfeng Ning, Shiyuan Zhao, Junmin School of Computer and Data Science Henan University of Urban Construction Pingdingshan467036 China School of Information Engineering Luohe Vocational Technology College Henan University of Technology Luohe Institute of Technology Luohe462000 China School of Computer and Data Science Innovation Laboratory of Smart Traffic and Big Data Development of Hainan Province Pingdingshan467036 China School of Computer and Data Science Research Center of Smart City and Big Data Engineering of Henan Province Henan University of Urban Construction Pingdingshan467036 China Department of Software Information China Electronics Technology Group Corporation 36-th Research Institute Jiaxing314033 China School of Computer and Data Science Research Center of Smart City and Big Data Engineering of Henan Province Research Center of Intelligent Campus Application Engineering of Henan Province Innovation Laboratory of Smart Traffic and Big Data Development of Hainan Province Henan University of Urban Construction Pingdingshan467036 China

In order to promote the evaluation performance of deep learning infrared automatic target recognition (ATR) algorithms in the complex environment of air-to-air missile research, we proposed an analytic hierarchy process (AHP) evaluation system consisting of the target recognition ability, the generalization recognition ability, the anti-interference ability, the background suppression ability, and the cost metrics ability. According to detailed quantitative analysis and experimental results, we establish probability evaluation models and get their probability values. Compared with traditional evaluation systems, our proposed method implementation is showing high reliability. Similar superior performances are also achieved, such as quick, comprehensive, and scientific. Through the above research, the key technology of deep learning performance evaluation in automatic target recognition has been broken through, which provides some basis and guidance for the analysis of infrared imaging-guided weapon systems. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Infrared imaging

来源：评论

学校读者我要写书评

暂无评论

Enhancing Healthcare with Blockchain: Innovations in Data Privacy, Security, and Interoperability

Enhancing Healthcare with Blockchain: Innovations in Data Pr...

引用

Disruptive Technologies (ICDT), International Conference on

作者： Bhupendra Kumar Vishal Garg Kahksha Ahmed Puneet Garg Shweta Choudhary Pashupati Baniya Department of Computer Science & Engineering ITS Engineering College (AKTU) Greater Noida India NCOG Limited Corporation Faridabad India Computer Science and Engineering St. Andrews Institute of Technology and Management Gurugram Delhi NCR India Department of Computer Science & Engineering (AI) KIET Group of Institutions Delhi NCR Ghaziabad India Applied Science Department ABES Engineering College Ghaziabad India Computer Science and Engineering IEC College of Engineering and Technology (AKTU) Greater Noida India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

The rise of digital technologies has transformed the healthcare industry, enabling smarter and more efficient services. But high data volumes and reliance on centralized systems pose significant challenges, including real-time data sharing functionality and vulnerability to breaches. Blockchain technology offers flexible solutions for distributing data management and ensuring secure, transparent and immutable transactions. This paper explores the use of blockchain in healthcare, emphasizing its potential to improve data privacy, improve communication, and simplify the management of electronic health records (EHRs). Key features of the blockchain such as decentralization, immutability and cryptographic security have been analyzed in the context of healthcare. The review looks at notable developments, including blockchain-based frameworks for secure data shares, smart contracts for automated processes, and parallel healthcare systems combining it with artificial intelligence, as well as enabling efficiencies within the supply chain. This work provides a comprehensive analysis of blockchain's transformative potential and identifies areas for further research to ensure that it has been widely accepted.

关键词： Data privacy Technological innovation Supply chains Smart contracts Medical services Transforms Solids Blockchains Stakeholders Artificial intelligence

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：