检索结果-内蒙古大学图书馆

1st International Conference on Information system and Information technology, ICISIT 2022

作者： Firdaus, Fulki Hapsari, Anggit Fauzi, Hilman Shapiai, Ibrahim Fuadah, Yunendah Telkom University Telecommunication Engineering Study Program Faculty of Electrical Engineering Bandung Indonesia Telkom University Biomedical Engineering Study Program Faculty of Electrical Engineering Bandung Indonesia Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Electrical System Engineering Kuala Lumpur Malaysia

ISBN: (数字)9781665402002

ISBN: (纸本)9781665402002

Stroke is one of the cerebrovascular health disorders caused by a blockage of blood flow to the brain. Data from South East Asian Medical Information Center (SEAMIC) explain that the most significant stroke mortality occurred in Indonesia, Philippines, Singapore, Brunei, Malaysia, and Thailand. There are several methods for diagnosing stroke, one of which is an electroencephalograph (EEG). EEG is one of the more widely used BCI methods due to its lower price, portability, ease of use, and high temporal resolution than other methods. Most EEG require signals from various places on the scalp to achieve good performance. However, using a large number of channels can degrade signal performance in the EEG. Spatial selection can be used for channel selection in the EEG stroke signal which can then be useful for evaluation of stroke therapy. Therefore, this study will select the optimized channel using the spatial selection method to see which channels are relevant to the EEG stroke signal. Also, using the Power Spectral Density extraction feature and Extreme Learning Machine classification. The L2-norm energy calculation method gets better results than other methods. This method can also select the active channel relevant to the stroke EEG signal. The results show that the spatial selection method can increase accuracy by 15 percent and optimize the system with 37.5 percent channel reductions. © 2022 IEEE.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Potential Classification Prediction of Solar and Wind Energy in Indonesia using Machine Learning with Random Forest Algorithm 5

Potential Classification Prediction of Solar and Wind Energy...

引用

5th IEEE International Conference on Computer and Informatics engineering, IC2IE 2022

作者： Ardiansyah, Deden Mantoro, Teddy Syafei, Wahyul Amien System School of Postgraduate Diponegoro University Doctoral Program of Information Bogor Indonesia Sampoerna University Faculty of Engineering and Technology Jakarta Indonesia Diponegoro University Faculty of Engineering Semarang Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

The realization of the mass use of renewable energy needs to be supported by various parties, including Indonesia, which is a country that has great potential in the use of renewable energy. The community, government, and private parties who become developers in this regard need to realize the main potential of regions in Indonesia. This study aims to determine the prediction results of renewable energy in Indonesia, especially the potential for solar and wind energy. The method used in this research is machine learning with a random forest algorithm. Random forest classification prediction modeling was carried out using R software. The data samples used were data on maximum temperature, minimum temperature, average temperature, average humidity, duration of sunshine, and average wind speed from 34 provinces in Indonesia. Based on the prediction results with random forest, the average accuracy of the random forest classification model ranges from 81-92%. So, it can be said that the model can provide reasonable predictions. Based on random forest predictions, the classification of the largest level of solar energy potential is in 3 main areas, namely the provinces of East N usa Tenggara, Bali, and West Nusa Tenggara. While the areas with the greatest wind energy potential are in 3 provinces, namely Kep. Bangka Belitung, East Nusa Tenggara, and East Java. The province of East Nusa Tenggara has a high potential for solar and wind energy. The potential duration of solar radiation reaches 10.6 hours per day, while the average wind speed reaches 4 m/s per day. The results of this study are expected to be input for parties who play a role in developing renewable energy in Indonesia to support the renewable energy mix target of 23 % by 2025. © 2022 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Autonomous Quadcopter Trajectory Tracking and Stabilization Using Control system Based on Sliding Mode Control and Kalman Filter

Autonomous Quadcopter Trajectory Tracking and Stabilization ...

引用

International Seminar on Intelligent technology and Its Applications (ISITIA)

作者： Nilla Perdana Agustina Purwadi Agus Darwito Physics Engineering Master Program Faculty of Industrial Technology and System Engineering Sepuluh Nopember Institute of Technology (ITS) Surabaya Indoneisa Physics Engineering Department Faculty of Industrial Technology and System Engineering Sepuluh Nopember Institute of Technology (ITS) Surabaya Indoneisa

In this paper, a control system based on Sliding Mode Control (SMC) and Kalman Filter has been designed to stabilize the quadcopter in the takeoff and hover phases as well as at the expected altitude. The control system is needed to support the performance of the quadcopter in carrying out the mission that has been given. The designed control system begins with the creation of a system model equation and is implemented in a real quadcopter simulation. The resulting response in terms of the results of the resulting control signal is stable, meets the trajectory as expected, and can produce a real quadcopter simulation taking off vertically and flying stably. Even though there was an unstable response for about 15 to 20 seconds at the beginning of the resulting response, after that the system showed stability. Tracking the resulting trajectory in accordance with the desired trajectory. Real quadcopter simulation results show that the takeoff phase can be carried out vertically and that the resulting trajectory stability can be stable during takeoff and flight. The height of the quadcopter has reached 100%, namely with a height of 1.5 meters as expected, and the average error value obtained at the x position is $2.93\mathrm{e}^{-07}$, the y position is $2.96\mathrm{e}^{-}07$, and the z position is $1.80\mathrm{e}^{-03}$. The proposed SMC-Kalman filter control system is expected to be implemented in a conventional quadcopter that has been developed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Loss Balancing for Physics-Informed Neural Networks Considering Procedure for Solving Partial Differential Equations

Loss Balancing for Physics-Informed Neural Networks Consider...

引用

International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Manabu Kojima Kazuma Otsuki Masato Suzuki Masajiro Abe Masaaki Baba Kazuya Yokota Master's Program in Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Department of System Safety Engineering Nagaoka University of Technology Nagaoka Japan Department of Mechanical Engineering Nagaoka University of Technology Nagaoka Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

With the development of machine learning, numerical analysis using neural networks has been devised. Remarkably, physics-informed neural networks (PINNs) enable physically consistent numerical analysis by introducing a loss function that conforms to relevant governing equations. Moreover, research is rapidly advancing for the application of PINNs to inverse analysis in areas such as physical property identification. For a PINN to learn governing equations, the weights of the loss functions should be properly determined because they have different roles in components such as boundary conditions, initial conditions, and governing equations. However, weight setting is generally challenging. We propose a loss balancing method considering the procedure for solving partial differential equations. The proposed method is validated through comparisons with conventional solvers.

关键词： Training Heating systems Numerical analysis Partial differential equations Neural networks Manuals Machine learning Object recognition MATLAB Convergence

来源：评论

学校读者我要写书评

暂无评论

DEEP LEARNING-BASED CHANNEL ESTIMATION FOR RIS-ASSISTED UAV-ENABLED WIRELESS COMMUNICATIONS system

DEEP LEARNING-BASED CHANNEL ESTIMATION FOR RIS-ASSISTED UAV-...

引用

2023 International Conference on Innovation, Communication and engineering, ICICE 2023

作者： Tesfaw, Belayneh A. Lin, Hsin-Piao Tarekegn, Getaneh B. Juang, Rong-Terng Jeng, Shiann-Shiun Department of International Graduate Program in Electrical Engineering and Computer Science National Taipei University of Technology Taipei Taiwan Institute of Aerospace and System Engineering National Taipei University of Technology Taipei10608 Taiwan Department of Electrical and Computer Engineering National Yang-Ming Chiao Tung University Hsinchu30010 Taiwan Department of Electrical Engineering National Dong Hwa University Hualien Taiwan

ISBN: (纸本)9781839539954

Wireless communication via unmanned aerial vehicles (UAVs) has drawn a great deal of attention due to its flexibility in establishing line-of-sight (LoS) communications. However, in complex urban and dynamic environments, the movement of UAVs can be blocked by trees and high-rise buildings that obstruct directional paths. This problem can be effectively addressed by employing reconfigurable intelligent surfaces (RIS). To achieve this goal, accurate channel estimation in RIS-assisted UAV-enabled wireless communications is crucial. This paper proposes an accurate channel estimation model using long short-term memory (LSTM) for a multi-user RIS-assisted UAV-enabled wireless communications system. Simulation results showed that LSTM can effectively improve the channel estimation performance of RIS-assisted UAV-enabled wireless communications. © The Institution of engineering & technology 2023.

关键词： Channel estimation

来源：评论

学校读者我要写书评

暂无评论

The Study of Materials for Electric Field Protection of Power Transformer Testing

The Study of Materials for Electric Field Protection of Powe...

引用

International Conference on engineering, Applied Sciences, and technology (ICEAST)

作者： Peerawat Meesuk Prajak Bunpakdee Sirirat Sorn-In Electrical Engineering and Automation Control System Program Faculty of Engineering and Industrial Technology Bansomdejchaopraya Rajabhat Univrtsity Bangkok Thailand

This paper proposes the analysis of the material can be protected from transformer testing and presents a mathematical model of the power transformer. In this research, transformers were study in four protective materials, wood, rubber, glass and acrylic that are used in between the electric field measurement and the transformer. By simulating the test results of a transformer with a voltage of 230 kV. Computer-based simulation utilizing the finite element method (FEM) is exploited as a tool for visualizing electric fields distribution volume a power transformer. The simulation results showed that the material with the best protection against the electric field was wood insulation and the best installation location was a distance of 5 m from the transformer.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ACO with Reinforcement Learning Applied to Rescues Operations on Urban Forests 13

ACO with Reinforcement Learning Applied to Rescues Operation...

引用

13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Alves, Cláudio Mendonça, Israel De Almeida Guimarães, Vanessa González, Pedro Henrique System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan Coppead Graduate Business School Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9798350308365

In the context of smart cities where green infras-tructure is incentived, besides important benefits like regulating temperatures and absorbing pollutants among others, tour by urban forests is a way to experience closer contact with nature near of big urban centers. Eventually, visitors get lost, and helping these people with velocity is important to avoid severe incidents. Normally, rescue operations mobilize firefighters, ex-pensive equipment like helicopters and public resources. Following that idea of reducing search time in rescue operations, this paper considers the Data Mule Routing Problem with Limited Autonomy (DMRP-wLA). To find high-quality solutions, this paper proposes an Ant Colony Optimization algorithm enhanced with Reinforcement Learning to create an adaptive decision-making algorithm. © 2024 IEEE.

关键词： Ant colony optimization

来源：评论

学校读者我要写书评

暂无评论

A novel method for the synthesis of solvent-free and high-solid-content waterborne polyurethanes by introducing a small amount of polyethylene glycol

引用

Journal of Applied Polymer Science 2024年第24期141卷 e55503-e55503页

作者： Hsu, Kuei Ting You, Jhu-Lin Department of Health and Nutrition & Chemical Engineering Army Academy Taoyuan Taiwan Department of Chemical & Materials Engineering Chung Cheng Institute of Technology National Defense University Taoyuan Taiwan System Engineering and Technology Program National Chiao Tung University Hsinchu Taiwan

In the study, the synthesis process involved the reaction of dimethylolbutyric acid and polytetramethylene ether glycol 1000 (PTMG1000) with hexamethylene diisocyanate (H12MDI), taking advantage of their mutual dissolution at high temperatures. The chain-extension reaction with 1,4-butanediol (BDO) was successfully conducted without the use of organic solvents. The emulsification reaction was carried out using the polyurethane prepolymer at 60% solids content, along with aqueous dispersions of polyethylene glycol (PEG) with varying molecular weights and amounts as interfacially active agents. Fourier transform infrared spectroscopy analysis suggested potential hydrogen bonding interactions between the PEG molecular chain and the polyurethane chain. Rheometer analysis demonstrated a significant reduction in viscosity with the addition of 1–5 wt.% PEG, accompanied by an increase in average particle size. This phenomenon was attributed to the formation of a hydrophilic lubrication layer of PEG around the water-based polyurethane (WPU) microcells. Among them, WPU films containing 4 wt.% PEG4000 not only exhibited soft properties with a mechanical elongation rate exceeding 2000% but also showed excellent storage stability. The addition of long-chain PEG facilitated the formation of a lubrication layer between the microcells, contributing to spatial stabilization and reducing particle aggregation at high solids content. It is noteworthy that this solvent-free process, without any organic solvents, together with the adjusted PEG content, successfully synthesized waterborne polyurethanes with low viscosity and high solids content. This provides a new sustainable and environmentally friendly method for the future production of waterborne polyurethanes. © 2024 Wiley Periodicals LLC.

关键词： Polyethylene glycols

来源：评论

学校读者我要写书评

暂无评论

Mixed-Reality Simulator for Analysis of Interactions between Humans and Crawler Cranes

Mixed-Reality Simulator for Analysis of Interactions between...

引用

International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Kenta Yamanobe Kazuya Yokota Daigo Uenoyama Daisuke Fujiura Masataka Ogura Kengo Takahashi Masajiro Abe Master's Program in Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Department of Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Bachelor's Program in Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Center for Integrated Technology Support Nagaoka University of Technology Nagaoka Japan Department of System Safety Engineering Nagaoka University of Technology Nagaoka Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

Crawler cranes are used in various applications, including plant construction and civil engineering. However, accidents caused by hazardous events, such as overturning the entire body or overshadowing of a suspended load, can be problematic. Because crawler cranes are large and powerful machines, simulators are required to analyze the relationship between such hazardous events and human operations. This study proposed a framework for a mixed-reality simulator to analyze the interactions between humans and crawler cranes. This framework combined the high-performance graphics capabilities of Unreal Engine 5 with the high-precision multibody dynamics analysis of MATLAB Simscape to create a visually and physically realistic simulation. Moreover, the quantification of the decision-making process was possible based on the eye-tracking information of the operator. This study described the implementation of these features and discussed the prospects for human-crawler crane interaction analysis using this simulator.

关键词： Cranes Crawlers Decision making Loading Gaze tracking Virtual reality Mathematical models MATLAB Engines Load modeling

来源：评论

学校读者我要写书评

暂无评论

Critical Factors of Immersive Learning in Higher Education: A systematic Literature Review 10

Critical Factors of Immersive Learning in Higher Education: ...

引用

10th International Conference on ICT for Smart Society, ICISS 2023

作者： Sunardi Meyliana Ramadhan, Arief Rosmansyah, Yusep Bina Nusantara University BINUS Graduate Program Doctor of Computer Science Computer Science Department Jakarta Indonesia School of Information System Bina Nusantara University Information System Departement Jakarta Indonesia School of Computing Telkom University Bandung Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9798350339543

Immersive learning has gained significant attention with the rising trend of spatial computing, particularly in the after-pandemic era. Numerous research has explored the potential of immersive learning in higher education, primarily on the educational sector. However, prior research has frequently focused too narrowly on the effects of technology and neglected to address the crucial element influencing successful immersive learning in higher education. This study seeks to pinpoint the crucial element contributing to the development of immersive learning experiences. The methodology uses a systematic literature review (SLR) from 2018 up to 2023 to investigate the critical factors of immersive Learning in Higher Education. From the 728 papers initially retrieved, 274 were considered potential candidates, and ultimately, 86 articles were selected based on their relevance to the research question. The results reveal that the critical factors include learning design, technology, immersion, engagement, interactivity, and usability. Academic interests will benefit from this SLR's consequences as institutions create models for designing suitable immersive learning, especially within the context of higher education. © 2023 IEEE.

关键词： E-learning

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：