检索结果-内蒙古大学图书馆

Periodica polytechnica Electrical engineering and computer science 2023年第4期67卷 403-412页

作者： Péter, Gábor Kiss, Bálint Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary

Simultaneous localization and mapping (SLAM) is an essential task for autonomous rover navigation in an unknown environment, especially if no absolute location information is available. This paper presents a computationally lightweight framework to enable agents with limited processing power to carry out the SLAM cooperatively and without absolute onboard localization sensors in a 2D environment. The proposed solution is built on a graph-based map representation, where nodes (resp. edges) represent landmarks (resp. odometry-based relative measurements), a measurement algebra with embedded uncertainty, and a compact database format that could be stored on a server in a centralized manner. The operations required by the agents to insert a new landmark in the graph, update landmark positions and combine measurements as a loop is closed in the graph are detailed. The resulting framework was tested in a laboratory environment and on a public dataset with encouraging results;hence our method can be used for cost-effective indoor mobile agents with limited computational resources and onboard sensors to achieve a mapping while keeping track of the agent’s position. The method can also be easily generalized for a 3D scenario. © 2023 Budapest University of technology and Economics. All rights reserved.

关键词： Mobile agents

来源：评论

学校读者我要写书评

暂无评论

Schizophrenia Detection Using EEG: A Study on Frequency Relevance 13

Schizophrenia Detection Using EEG: A Study on Frequency Rele...

引用

13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Alexandre, Luís A. Duch, Wlodzislaw Nova Lincs Universidade da Beira Interior Covilhã Portugal Institute of Engineering and Technology Faculty of Physics Astronomy & Informatics Nicolaus Copernicus University Dept. of Informatics Torun Poland

ISBN: (纸本)9798350308365

One important application of machine learning is the analysis of electroencephalographic recordings (EEG). Such oscillatory signals are noisy, non-stationary, full of artifacts, contain transients, and chaotic transitions between meta-stable states. EEG data rarely consists of recordings obtained for more than 100 patients with some brain disorder. This makes objective, reliable clinical diagnosis of many mental disorders, such as schizophrenia, very difficult. The standard approach splits the frequency of EEG oscillations focusing on five classical bands: delta, theta, alpha, beta, and gamma. In this paper, we investigate three main questions: (i) Are there certain frequencies that will allow for a reliable diagnosis of schizophrenia, and (ii) if they are, is there a connection to what is known about their neural basis? (iii) How long segments of EEG recordings are sufficient for reliable classification? We filter EEG signals, obtaining a set of 64 very narrow 1Hz frequency bands. A genetic algorithm, with a simple k-NN classifier, finds an optimal combination of these bands. The method is sufficiently simple to be used in clinical settings. A public schizophrenia EEG data set, containing 60 seconds of EEG recordings in the resting state, with only 16 electrodes, for 45 adolescent patients and 39 healthy controls, was used for testing. Signal duration of about 30 seconds enables to reach an accuracy of over 96% in 5-fold cross-validation tests. We compare our results to much more sophisticated state-of-the- art methods and discuss insights gained by our analysis into the brain basis of schizophrenia. © 2024 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Distributed computing and shared memory-based utility list buffer miner with parallel frameworks for high utility itemset mining

引用

International Journal of Business Intelligence and Data Mining 2023年第2期23卷 125-149页

作者： Atmaja, Eduardus Hardika Sandy Sonawane, Kavita Department of Computer Engineering St. Francis Institute of Technology Mumbai India Department of Informatics Sanata Dharma University Yogyakarta Indonesia

High utility itemset mining (HUIM) is a well-known pattern mining technique. It considers the utility of the items that leads to finding high profit patterns which are more useful for real conditions. Handling large and complex dataset are the major challenges in HUIM. The main problem here is the exponential time complexity. Literature review shows multi-core approaches to solve this problem by parallelising the tasks, but it is limited to single machine resources and also needs a novel strategy. To address this problem, we proposed new strategies namely distributed computing (DC-PLB) and shared memory (SM-PLB)-based utility list buffer miner with parallel frameworks (PLB). It utilises cluster nodes to parallelise and distribute the tasks efficiently. Thorough experiments with results proved that the proposed frameworks achieved better runtime (448 s) in dense datasets compared to the existing PLB (2,237 s). It has effectively addressed the challenges of handing large and complex datasets. © 2023 Inderscience Enterprises Ltd.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Enhancing Wind Energy Forecasting for Cost Efficiency in Hybrid Diesel and Solar Power Plants Using Artificial Neural Networks and Meteoblue Weather Data 6

Enhancing Wind Energy Forecasting for Cost Efficiency in Hyb...

引用

6th International Conference on Power engineering and Renewable Energy, ICPERE 2024

作者： Fadel, Tyo Fabian Marojahan Banjarnahor, Kevin Setiadi, Fajar Hariyanto, Nanang Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia UID Kaltimra Jakarta Indonesia

ISBN: (纸本)9798331504694

This study integrates Artificial Neural Networks (ANN) with Meteoblue Weather data to improve the performance of hybrid diesel and solar power plants by accurately predicting wind energy output Focusing on the Derawan Islands in Indonesia, where traditional energy grids are challenging to establish, the research enhances energy management by adding wind power to reduce the load on diesel plants. The ANN model, trained on historical weather data, achieved high predictive accuracy with an R2 value of 0.9969 and RMSE values of 0.5772 for training and 0.5620 for testing. These results indicate a strong correlation between predicted and actual wind speeds, outperforming similar models used in other regions like Ethiopia and Chile. The findings highlight the ANN model's effectiveness in optimizing wind energy integration, making hybrid power systems more reliable and cost-effective for remote areas. © 2024 IEEE.

关键词： Windmill

来源：评论

学校读者我要写书评

暂无评论

IoT: Communication protocols and security threats

引用

Internet of Things and Cyber-Physical Systems 2023年第1期3卷 1-13页

作者： Gerodimos, Apostolos Maglaras, Leandros Ferrag, Mohamed Amine Ayres, Nick Kantzavelou, Ioanna School of Computer Science and Informatics University of Thessaly Lamia Greece School of Computing at Edinburgh Napier University Edinburgh United Kingdom Technology Innovation Institute Abu Dhabi United Arab Emirates School of Computer Science and Informatics De Montfort University Leicester United Kingdom School of Engineering Dept.of Informatics and Computer Engineering University of West Attica Athens Greece

In this study, we review the fundamentals of IoT architecture and we thoroughly present the communication protocols that have been invented especially for IoT technology. Moreover, we analyze security threats, and general implementation problems, presenting several sectors that can benefit the most from IoT development. Discussion over the findings of this review reveals open issues and challenges and specifies the next steps required to expand and support IoT systems in a secure framework. © 2023 The Authors

关键词： Network architecture

来源：评论

学校读者我要写书评

暂无评论

EEG Biomarkers Based on Microstates and RQA 17th

EEG Biomarkers Based on Microstates and RQA

引用

17th International Conference on Brain informatics, BI 2024

作者： Duch, Wlodzislaw Tolpa, Krzysztof Furman, Lukasz Ratajczak, Ewa Department of Informatics Institute of Engineering and Technology Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Toruń Poland Institute of Psychology Faculty of Philosophy and Social Sciences Nicolaus Copernicus University Toruń Poland

ISBN: (纸本)9789819632930

Although many sophisticated methods for analyzing electroencephalography (EEG) recordings have been developed, they are rarely used in clinical practice. To create robust EEG biomarkers that provide insight into the character of brain processes and distinguish mental disorders, we analyze neurodynamics using Recurrence Quantification Analysis (RQA) and simplify complex, non-stationary spatiotemporal oscillatory patterns using microstates. Transition patterns between microstates reflect brain dynamics. Average transition probability matrices between microstates may be used as reference prototypes for the classification of mental disorders. RQA enhances the feature space that microstate analysis provides, allowing for better interpretation of the results. We have tested this approach on adolescent schizophrenia data, comparing results based on microstate transitions with results based on features derived from RQA. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electrophysiology

来源：评论

学校读者我要写书评

暂无评论

Selection and evaluation of a MES software for a 3D printing center at point of care 17

Selection and evaluation of a MES software for a 3D printing...

引用

17th CIRP Conference on Intelligent Computation in Manufacturing engineering, CIRP ICME 2023

作者： Url, Philipp Sudy, Daniel Vorraber, Wolfgang Institute of Engineering and Business Informatics Graz University of Technology Kopernikusgasse 24/III Graz8010 Austria

3D printing at point of care is an emerging business and many hospitals are on their way of becoming manufacturers of medical devices. In order to comply with medical regulations, production processes need to be managed and documented. Although various manufacturing execution systems (MES) exist for general purpose applications, the medical domain in combination with novel additive manufacturing processes poses special issues, requirements, and adaptation needs to these systems. In this paper we present a structured framework to select and evaluate an appropriate MES software for a 3D printing center at point of care. The results are based on a real-world case of a 3D printing center in a hospital and provide practical and theoretical insights on the selection and evaluation process in this novel manufacturing domain. © 2024 Elsevier B.V.. All rights reserved.

关键词： Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

A Novel Deterministic Algorithm for Optimizing Workflow Discovery with Short-Loops in Large Event-Log 1

A Novel Deterministic Algorithm for Optimizing Workflow Disc...

引用

1st International Conference on technology, engineering, and Computing Applications, ICTECA 2023

作者： Fauzan, Hermawan Bin Saikhu, Ahmad Sarno, Riyanarto Rachman, Fika Hastarista Universitas Trunojoyo Madura Department of Informatics Indonesia Institut Teknologi Sepuluh Nopember Indonesia Department of Informatics Surabaya Indonesia Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Department of Informatics Surabaya Indonesia Universitas Trunojoyo Madura Faculty of Engineering Department of Informatics Indonesia

ISBN: (纸本)9798350360554

One of the main problems in process discovery is obtaining correctness workflow when analysing a Large Event-Log with high concurrent control flow, complex short loops, and uncertainty. T+ is a novel method to construct a standardization workflow model in the SWF-Net for discovering a large event log with high concurrency free-choice, parallel, and non-free-choice control flow within an uncertainty short-loop. By the testing result, the short-loop construction places with the optimistic and pessimistic One-Loop-Free approach have the best results compared to other existing methods based on deterministic, heuristic, genetic, inductive, also Integer Linear Programming algorithms. T+ has proofed achieved completeness and correctness SWF-Net with high rate on fitness recall up to 95% and appropriateness up to 90%. © 2023 IEEE.

关键词： Integer programming

来源：评论

学校读者我要写书评

暂无评论

Enhancing Urban Waste Management: An IoT and LoRa-Integrated Smart Bin System for Volume Monitoring and Analysis 4

Enhancing Urban Waste Management: An IoT and LoRa-Integrated...

引用

4th International Conference on Intelligent Cybernetics technology and Applications, ICICyTA 2024

作者： Imanudin, Muhammad Farhan Kinanda, Rezky Falih, Noor Arman, Arry Akhmad Sembiring, Emenda Supangkat, Suhono Harso School of Electrical and Informatics Engineering Bandung Institute of Technology Bandung Indonesia Bandung Institute of Technology Faculty of Civil and Environmental Engineering Bandung Indonesia

ISBN: (纸本)9798331506490

Waste management in urban areas has become an increasingly pressing challenge in Indonesia, given the population of 270.20 million people. Rapid urbanization and population growth have led to rising waste generation, creating significant environmental and logistical issues. This study proposes the development of a smart waste bin system utilizing Internet of Things (IoT) and LoRa technology, designed to monitor waste volume in real-time and optimize waste management processes. The system is structured around three main components: Sensor Nodes, a Gateway, and a Data Platform & Analytics. The Sensor Nodes, equipped with ultrasonic level sensors, measure the fill level of waste bins, and identify different types of waste. This data is then transmitted via LoRa technology to the Gateway, which serves as the communication bridge to a centralized platform. The Data Platform & Analytics processes the incoming information, providing valuable insights to optimize waste collection routes and schedules. By implementing an IoT-based approach, waste management authorities can make informed decisions, reduce operational costs, and minimize the carbon footprint associated with waste collection. Additionally, this system addresses waste accumulation issues in major cities and supports long-term sustainability strategies by promoting more efficient resource management. The research also aims to increase public awareness of the importance of responsible waste disposal and to encourage the adoption of a circular economy that transforms waste into valuable resources. Overall, this innovation holds the potential to revolutionize urban waste management and contribute significantly to Indonesia's environmental and sustainability goals. © 2024 IEEE.

关键词： Circular economy

来源：评论

学校读者我要写书评

暂无评论

Web-Based Gender Classification ML Application Development for e-KYC 17

Web-Based Gender Classification ML Application Development f...

引用

17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Gunardi, Christopher Ivan Rashida, Amadea Hendrawan Mulyana, Eueung Hermawan, Wawan Bandung Institute of Technology Telecommunication Engineering School of Electrical Engineering and Informatics Bandung Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia National Research and Innovation Agency Bandung Indonesia

ISBN: (纸本)9798350309164

e-KYC is used to recognize the user of the system and validate if they are real and has the authority to access the service. The process can be automated using machine learning models. One of the elements of e-KYC is gender classification. The implementation consists of a face detection model and a gender classification model. Two web services, frontend and backend, are used to connect the user to the machine learning models. The product is created to fit in larger e-KYC systems, such as SPBE (Sistem Pemerintahan Berbasis Elektronik/electronic-based government system). The system can capture the users' image on a website using the devices' webcams, processes it using two machine learning models, and shows the result in the form of labeled bounding boxes representing the gender and confidence score for every detected face. © 2023 IEEE.

关键词： Web services

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：