检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Kurosawa, Leo Saito, Yoshiyuki Lee, Xinwei Yan, Xinjian Xie, Ningyi Cai, Dongsheng Shin, Jungpil Asai, Nobuyoshi Graduate School of Computer Science and Engineering University of Aizu Fukushima Aizu-Wakamatsu Japan School of Computing and Information Systems Singapore Management University 80 Stamford Rd Singapore Graduate School of Science and Technology University of Tsukuba Ibaraki Tsukuba Japan Faculty of Engineering Information and Systems University of Tsukuba Ibaraki Tsukuba Japan School of Computer Science and Engineering University of Aizu Fukushima Aizu-Wakamatsu Japan

Probabilistic Error Cancellation (PEC) aims to improve the accuracy of expectation values for observables. This is accomplished using the probabilistic insertion of recovery gates, which correspond to the inverse of errors. However, the inserted recovery gates also induce errors. Thus, it is difficult to obtain accurate expectation values with PEC since the estimator of PEC has a bias due to noise induced by recovery gates. To address this challenge, we propose an improved version of PEC that considers the noise resulting from gate insertion, called Feed-Forward PEC (FFPEC). FFPEC provides an unbiased estimator of expectation values by cancelling out the noise induced by recovery gates. We demonstrate that FFPEC yields more accurate expectation values compared to the conventional PEC method through analytical evaluations. Numerical experiments are used to evaluate analytical results. © 2024, CC BY.

关键词： Inverse problems

来源：评论

学校读者我要写书评

暂无评论

A Study on the Effectiveness of Interactive systems Using Electromyography

A Study on the Effectiveness of Interactive Systems Using El...

引用

IEEE/SICE International Symposium on System Integration

作者： Shinnosuke Hanawa Yihsin Ho Iciro Kobayashi Eri Sato-Shimokawara Hiroki Shibata Takenori Obo Graduate School of Engineering Takushoku University Tokyo Japan Faculty of Engineering Takushoku University Tokyo Japan Department of Computer Science Tokyo Metropolitan University Tokyo Japan Department of Mechanical Systems Engineering Tokyo Metropolitan University Tokyo Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

The paper presented an intuitive control system using electromyography (EMG) data that is obtained from the Myo gesture control armband. The aim of this study is to enable users to control multiple devices with a single EMG device in an intuitive way. The presented system shows the ability of EMG-based gestures to control Phillips Hue that allow user to control light bulb by simple hand movements. Moreover, the authors also developed new functionalities, which is according to users’ preferences, to register gestures. These functions aim to improve the usability and enhance the naturalness of operations. Additionally, unique gestures, which less common in everyday life, is defined to reduce misrecognition when switching between different devices. Furthermore, to achieve reliable and accurate recognition of multiple gestures, the Support Vector Machine (SVM) models is considered to be a machine learning method for training processed EMG data. The experiment results demonstrate significant improvements in user experience and practical applicability in various interactive scenarios.

关键词： Support vector machines Training Interactive systems Switches Machine learning System integration Electromyography User experience Robustness Usability

来源：评论

学校读者我要写书评

暂无评论

An Intriguing Relation Between the Power Consumption and Number of Antenna Elements in Multi-Beam Phased Arrays

An Intriguing Relation Between the Power Consumption and Num...

引用

European Conference on Antennas and Propagation, EuCAP

作者： Natasha Birari Yanki Aslan Alexander Yarovoy Department of Microelectronics Faculty of Electrical Engineering Mathematics and Computer Science Microwave Sensing Signals and Systems Group Delft University of Technology Delft The Netherlands

An improved system-level power consumption model (PCM) for 5G base station multi-beam phased-array transmit architectures is developed. Using this model, it is shown that an optimum number of antenna elements of the array exists with respect to the total power consumption. The proposed model is benchmarked against a recent study which is shown to underestimate the total power consumed in analog and digital antenna systems by 37% and 126% respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Fast and Effective Multiple Kernel Clustering Method on Incomplete Data

引用

computers, Materials & Continua 2021年第4期67卷 267-284页

作者： Lingyun Xiang Guohan Zhao Qian Li Gwang-Jun Kim Osama Alfarraj Amr Tolba Changsha Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation School of Computer and Communication EngineeringChangsha University of Science and TechnologyChangsha410114China Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems Changsha University of Science and TechnologyChangsha410114China Faculty of Engineering and Information Technology Global Big Data Technologies CentreUniversity of Technology SydneyUltimoNSW2007Australia Department of Computer Engineering Chonnam National UniversityGwangju61186Korea Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Mathematics and Computer Science Faculty of ScienceMenoua UniversityShebin-El-kom32511Egyp

Multiple kernel clustering is an unsupervised data analysis method that has been used in various scenarios where data is easy to be collected but hard to be ***,multiple kernel clustering for incomplete data is a critical yet challenging *** the existing absent multiple kernel clustering methods have achieved remarkable performance on this task,they may fail when data has a high value-missing rate,and they may easily fall into a local *** address these problems,in this paper,we propose an absent multiple kernel clustering(AMKC)method on incomplete *** AMKC method rst clusters the initialized incomplete ***,it constructs a new multiple-kernel-based data space,referred to as K-space,from multiple sources to learn kernel combination ***,it seamlessly integrates an incomplete-kernel-imputation objective,a multiple-kernel-learning objective,and a kernel-clustering objective in order to achieve absent multiple kernel *** three stages in this process are carried out simultaneously until the convergence condition is *** on six datasets with various characteristics demonstrate that the kernel imputation and clustering performance of the proposed method is signicantly better than state-of-the-art ***,the proposed method gains fast convergence speed.

关键词： Multiple kernel clustering absent-kernel imputation incomplete data kernel k-means clustering

来源：评论

学校读者我要写书评

暂无评论

Mining the Chatbot Brain to Improve COVID-19 Bot Response Accuracy

引用

computers, Materials & Continua 2022年第2期70卷 2619-2638页

作者： Mukhtar Ghaleb Yahya Almurtadha Fahad Algarni Monir Abdullah Emad Felemban Ali M.Alsharafi Mohamed Othman Khaled Ghilan Department of Information Systems College of Sciences and ArtsUniversity of BishaAl Namas67392Saudi Arabia Department of Computer Science College of Computing and Information TechnologyUniversity of TabukTabuk71491Saudi Arabia Department of Computer Science College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia Computer Engineering Department Umm Al-Qura UniversityMakkah21955Saudi Arabia Department of Communication Technology and Network Universiti Putra MalaysiaSelangor43400Malaysia Faculty of Public Health and Tropical Medicine Jazan UniversityJazan45142Saudi Arabia

People often communicate with auto-answering tools such as conversational agents due to their 24/7 availability and unbiased ***,chatbots are normally designed for specific purposes and areas of experience and cannot answer questions outside their *** employ Natural Language Understanding(NLU)to infer their *** is a need for a chatbot that can learn from inquiries and expand its area of experience with *** chatbot must be able to build profiles representing intended topics in a similar way to the human brain for fast *** study proposes a methodology to enhance a chatbot’s brain functionality by clustering available knowledge bases on sets of related themes and building representative *** used a COVID-19 information dataset to evaluate the proposed *** pandemic has been accompanied by an“infodemic”of fake *** chatbot was evaluated by a medical doctor and a public trial of 308 real *** obtained and statistically analyzed tomeasure effectiveness,efficiency,and satisfaction as described by the ISO9214 *** proposed COVID-19 chatbot system relieves doctors from answering *** provide an example of the use of technology to handle an infodemic.

关键词： Machine learning text classification e-health chatbot COVID-19 awareness natural language understanding

来源：评论

学校读者我要写书评

暂无评论

A Framework Using Federated Learning for IoT-Based Forest Fire Prediction

A Framework Using Federated Learning for IoT-Based Forest Fi...

引用

IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)

作者： Richard Purcell Kshirasagar Naik Chung-Horng Lung Marzia Zaman Srinivas Sampalli Abdul Mutakabbir Faculty of Computer Science Dalhousie University Halifax NS Canada Electrical and Computer Engineering University of Waterloo Waterloo ON Canada Systems and Computer Engineering Carleton University Ottawa ON Canada Research and Development Cistel Technology Ottawa ON Canada

Forest fires are a growing threat to human commu-nities. The Canadian Wildland Fire Information System gives realtime information to fire management agencies and the public. However, machine learning use for forest fire ignition classification prediction within the platform and ones like it, is yet to be fully realized. We propose a novel framework that uses federated machine learning combined with Internet of Things technologies, for forest fire ignition classification prediction. The framework incorporates distributed IoT weather stations deployed in an area prone to forest fires. We find comparable prediction accuracy between a federated machine learning system and a central server machine learning system. Our federated system, trained on an imbalanced dataset comprising 5,008,365 non-ignition cases and 45,411 ignition instances, has shown encouraging outcomes. It attained an Accuracy of around 0.76 and a ROC-AUC of about 0.80. The performance is on par with other systems, indicating that our approach is effective in classifying forest fire ignitions with a spatial resolution markedly superior to that of centralized systems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Oil Spill Identification using Deep Convolutional Neural Networks 14

Oil Spill Identification using Deep Convolutional Neural Net...

引用

14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022

作者： Feinauer, David M. Latif, Ghazanfar Alenazy, Abeer M. Tayem, Nizar Alghazo, Jaafar Alzubaidi, Loay Virginia Military Institute Department of Electrical and Computer Engineering LexingtonVA United States Prince Mohammad Bin Fahd University Computer Science Department Khobar Saudi Arabia Texas A&m University Department of Engineering and Technology Commerce United States Higher Colleges of Technology Faculty of Computer Information Systems United Arab Emirates

ISBN: (纸本)9781665487719

Oil spill detection is an extremely important topic in which Machine Learning (ML) can be utilized because oil spills that go undetected can cause huge environmental negative impacts. The science of how an oil spill can cause devastation to wildlife has been widely viewed with sorrow and the early detection of oil spills can greatly reduce the negative impact oil spills have on the environment. If an optimal solution is found for oil spill detection, continuous monitoring can be achieved either through satellite images or images obtained from unmanned aerial vehicles such as drones. In this paper, we develop a dataset for oil spill detection collected from images from the Internet and other online resources. The dataset consists of 783 images of Oil Spills and 783 normal images. Since these are real-world images, research done on this dataset will produce a more realistic and practical solution. In this paper, we also propose an enhanced CNN model based on GoogleNet and VGG16 combined with transfer learning for the detection and classification of oil spills. The GoogleNet Transfer Learning model achieved better results of training accuracy of 97.5%, training loss of 0.0894, and validation accuracy of 95.6%. Since this is a new dataset, the results cannot be compared to anything in the extant literature. © 2022 IEEE.

关键词： Oil spills

来源：评论

学校读者我要写书评

暂无评论

Maximum Length RLL Sequences in de Bruijn Graph

arXiv

引用

arXiv 2024年

作者： Chee, Yeow Meng Etzion, Tuvi Nguyen, Tien Long Ta, Duy Hoang Tran, Vinh Duc Vu, Van Khu Dept. of Industrial Systems Engineering and Management National University of Singapore Singapore Computer Science Faculty Technion Israel Institute of Technology Haifa3200003 Israel Hanoi University of Science and Technology Viet Nam

Free-space quantum key distribution requires to synchronize the transmitted and received signals. A timing and synchronization system for this purpose based on a de Bruijn sequence has been proposed and studied recently for a channel associated with quantum communication that requires reliable synchronization. To avoid a long period of no-pulse in such a system on-off pulses are used to simulate a zero and on-on pulses are used to simulate a one. However, these sequences have high redundancy and low rate. To reduce the redundancy and increase the rate, run-length limited sequences in the de Bruijn graph are proposed for the same purpose. The maximum length of such sequences in the de Bruijn graph is studied and an efficient algorithm to construct a large set of these sequences is presented. Based on known algorithms and enumeration methods, maximum length sequence for which the position of each window can be computed efficiently is presented and an enumeration on the number of such sequences is given. © 2024, CC BY.

关键词： Synchronization

来源：评论

学校读者我要写书评

暂无评论

Maximum Length Rll Sequences in De Bruijn Graph

SSRN

引用

SSRN 2024年

作者： Etzion, Tuvi Chee, Yeow Meng Nguyen, Tien Long Ta, Duy Hoang Tran, Vinh Duc Vu, Van Khu Dept. of Industrial Systems Engineering and Management National University of Singapore Singapore Computer Science Faculty Technion Israel Institute of Technology Haifa3200003 Israel Hanoi University of Science and Technology Viet Nam

To avoid a long period of no-pulse in a synchronized system for free-space quantum key distribution, a system based on a de Bruijn sequence was *** this system on-off pulse is used to simulate a \emph{zero} and on-on pulse is used to simulate a \emph{one}.However, these proposed sequences have high redundancy and low rate. To reduce the redundancy and increase the rate,run-length limited sequences in the de Bruijn graph are proposed in this work for the same *** maximum length of such sequences in the de Bruijn graph is studied and an efficient algorithm to construct a large set of these sequencesis presented. Based on known methods,an enumeration for the number of maximum length sequences is given. © 2024, The Authors. All rights reserved.

关键词： Quantum cryptography

来源：评论

学校读者我要写书评

暂无评论

Thick Film Interdigitated Electrode Graphite and Carbon Nanotube on Flexible Substrate for Hydrogen Gas Detection

Thick Film Interdigitated Electrode Graphite and Carbon Nano...

引用

2023 IEEE International Conference on Sensors and Nanotechnology, SENNANO 2023

作者： Abu Bakar, Azlinda Nizar Hamidon, Mohd Yaacob, Mohd Hanif Paiman, Suriati Jaafar, Haslina Wan Jusoh, Wan Nursheila Universiti Putra Malaysia Funtional Device Laboratory Institute of Nanoscience and Nanotechnology Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Engineering Department of Computer and Communication Systems Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Science Department of Physics Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Engineering Department of Electrical and Electronic Selangor Serdang Malaysia Universiti Kuala Lumpur Section of Aerospace Malaysians Institute of Aviation Technology Selangor Dengkil Malaysia

ISBN: (纸本)9798350333312

The comparison on the performance of interdigitated electrode (IDE) graphite and carbon nanotube (CNT) using titanium dioxide-multiwall carbon nanotube (TiO2-MWCNT) composite as sensing materials to detect hydrogen gas is presented in this research work. Screen printing technique has been selected to deposited IDE graphite and CNT conductive pastes as the electrode thick film on a flexible substrate, which is continued by firing at 120°C each. TiO2-MWCNT paste was printed as a sensing layer on top of IDE, followed by firing at 350°C. FESEM was used to characterize the morphological analysis of the IDE film. The operating temperature was varied at 27°C, 50°C and 100°C and concentration varied from 100-1000 ppm for gas hydrogen. The gas sensor demonstrated as n-type gas characteristics where the response of the gas sensor produced increased current from the results. The results purpose when the sensor was exposed to hydrogen gas. Therefore, the ability of IDE graphite and CNT as an electrode to harvest the electron from sensing materials were successfully proven. The IDE CNT showed better response compare to IDE graphite, but both electrodes were able to sense 100 - 1000 ppm at the operating temperature of 27°C, 50°C and 100°C. The optimal of operating temperature for IDE graphite is 50°C and IDE CNT is at room temperature for the hydrogen gas detections in this research work. © 2023 IEEE.

关键词： Thick films

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：