检索结果-内蒙古大学图书馆

4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024

作者： Molefinyane, Sefemo Yahya, Abid Hamsadhwani, V. Rohini, R. Samikannu, Ravi Begam, K.Maruliya Botswana International University of Science and Technology Department of Electrical and Communications Systems Engineering Palapye Botswana Periyar Maniammai Institute of Science and Technology Department of Electrical and Electronics Engineering Thanjavur India Vivekanandha College of Engineering for Women Department of Computer Science and Engineering Tiruchengode India Saveetha School of Engineering Saveetha Institute of Medical and Technology Science Department of Computer Science and Communications Engineering Tiruchengode India

ISBN: (纸本)9798331529635

Intravenous (IV) therapy is a critical component of modern healthcare, yet traditional IV systems are prone to human errors, manual adjustments, and limited monitoring capabilities, which can jeopardize patient safety and hinder healthcare efficiency. This paper presents the development of the Smartdrip IV Infusion System, a sophisticated and automated solution that integrates advanced sensors, control algorithms, and intuitive user interfaces to address these limitations. The Smartdrip system minimizes human intervention, provides real-time monitoring, and automates fluid administration with enhanced precision and safety features. The system demonstrates high reliability through simulation and prototype testing in detecting anomalies, issuing alerts, and ensuring accurate infusion rates, thereby improving patient outcomes and reducing healthcare provider workload. The results validate the Smartdrip system as a transformative approach to optimizing IV therapy in diverse clinical settings. © 2024 IEEE.

关键词： Automated Infusion System Drip Rate Monitoring Healthcare Automation Intravenous Therapy Patient

来源：评论

学校读者我要写书评

暂无评论

Genetic Algorithm Based Optimization of Circular Planar Coil Geometry With Homogeneous Magnetic Field Distribution 46

Genetic Algorithm Based Optimization of Circular Planar Coil...

引用

46th ICT and Electronics Convention, MIPRO 2023

作者： Bilandzija, Domagoj Vinko, Davor Filipovic, Luka Computer Science and Information Technology Osijek Faculty of Electrical Engineering Department of Communications Osijek Croatia

ISBN: (纸本)9789532331042

A prominent problem in planar resonant wire-less power transfer (WPT) systems is instability of efficiency and load power due to position misalignment of the receiver (RX) coil relative to postion of the transmitter (TX) coil. In order to keep stable efficiency and load power even in such misaligned condition it is necessary to design transmitter coil which generates homogeneous magnetic field in charging plane. In this paper, a geometry of planar transmitter coil which consist of multiple concentric circles is optimized by utilizing genetic algorithm. optimization goal is achieving as large as possible homogeneous region, i.e. portion of charging plane which is characterized by homogeneous magnetic field. Magnetic field evaluations are done by FEMM software. Proposed coil achieves continuous homogeneous region at 44.4% surface of charging plane. optimized coil and its homogenous region is compared to the state-of-the-art. © 2023 MIPRO Croatian Society.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Implementation of Remote AI Farmer System

Implementation of Remote AI Farmer System

引用

2024 IET International Conference on engineering Technologies and Applications, ICETA 2024

作者： Lu, Ching-Ta Weng, Yu-Han Wu, Yun-En Wei, Yi-Ching Department of Communications Engineering Feng Chia University Taichung City Taiwan Department of Information Engineering and Computer Science Feng Chia University Taichung City Taiwan

ISBN: (纸本)9781837242672

People need to pay more attention to planting and caring for plants. Orchids are an essential potted flower item in the global flower market as they are a highly economical flower production crop. Despite the increasing demand for orchids in the global market, the production of orchids has remained the same, which is attributed to the difficulty in caring for orchids and the high cost of human efforts. Therefore, this study chooses orchids as the target. We realize an orchid care system that can give users precise advice on fertilizer and pesticide application through AI assistance. The automatic light chasing system allows orchids to chase the light when the light is weak and avoid the light when the sun is intense;the humidity detection gives orchids an automatic humidity environment;and the wireless photography and identification allows farms to be identified and managed automatically. The application of this system can also be extended to other species of plants. Accordingly, the proposed system is scalable. © The Institution of engineering & Technology 2024.

关键词： Fertilizers

来源：评论

学校读者我要写书评

暂无评论

A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System 8

A Mixed Cloud-and-Embedded-based Approach with Machine Learn...

引用

Joint 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2023

作者： Limbaga, Neil Joshua P. Mallari, Kevin Luis T. Yeung, Nathan Richward O. Oppus, Carlos M. Ateneo de Manila University Department of Electronics Computer and Communications Engineering Quezon City Philippines

ISBN: (纸本)9798350396546

The ability to monitor falls, especially for the elderly, deems to be a crucial task to provide quality and timely healthcare response. However, there have been minimal efforts in centralizing such activity for efficient hospital management. This paper presents the development of a full-stack fall monitoring system with edge computing and machine learning technologies. Using a 3-axis accelerometer of a smartphone, motion data is collected and directly sent to an edge computing platform wherein a shallow neural network is directly trained to classify the motion data into positional states: stable, falling sidewards, falling flat, and standing up. A confusion matrix is presented to evaluate the performance of the neural network model, both in training and in real time. A cloud-based approach using ReactJS for front-end integration and Firebase's Cloud Firestore with NodeJS embedded capabilities for real-time data storage and embedded classification is implemented. © 2023 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Acoustic Sensor Module for Mosquito Detection and Classification 9

Acoustic Sensor Module for Mosquito Detection and Classifica...

引用

9th International Conference on computer and Communication engineering, ICCCE 2023

作者： Bacabac, John Sebastian Ramos, Kim Guico, Maria Leonora C. Galicia, Jan Kevin A. Ateneo de Manila University Department of Electronics Computer and Communications Engineering Quezon City Philippines

ISBN: (纸本)9798350325218

Although there have been multiple studies related to the tracking of mosquito wingbeat frequencies, not much has been done yet on Philippine mosquitoes. Additionally, most of the current methods for tracking mosquitoes involve actively trapping mosquitoes and evaluating them in a separate laboratory. As a response, an acoustic sensor module was developed using an Arduino microprocessor to identify and classify mosquitoes. Mosquitoes were lured and zapped. The module took sound input using an omnidirectional microphone and a parabolic dish housed in a pipe. The Arduino used digital signal processing to decrease background noise, identify probable mosquito wingbeats, and categorize different mosquito species according to the frequency of the wingbeats. Audacity was used to create recordings for reference, along with manual checking. ThingSpeak, an internet platform, received classified data and provided real-time display and analysis. Real-time classifications from the module were shown, and a histogram showed how frequently identified mosquito wingbeat frequencies were distributed. This made it possible for users to keep an eye on and track the mosquito population in the region where the module was placed. The findings showed that UV light attracts mosquitoes more potently than yeast. However, it was mentioned that combining yeast and UV light as luring techniques would be interesting for further study. The monitoring of mosquito populations is made easier by the interface with ThingSpeak, which offers real-time data display. © 2023 IEEE.

关键词： Population statistics

来源：评论

学校读者我要写书评

暂无评论

A New Hybrid Model for Segmentation of the Skin Lesion Based on Residual Attention U-Net

引用

computers, Materials & Continua 2023年第6期75卷 5177-5192页

作者： Saleh Naif Almuayqil Reham Arnous Noha Sakr Magdy M.Fadel Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaSaudi Arabia Department of Communications and Electronics Delta Higher Institute for Engineering and Technology(DHIET)MansouraEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Skin segmentation participates significantly in various biomedical applications,such as skin cancer identification and skin lesion *** paper presents a novel framework for segmenting the *** framework contains two main stages:The first stage is for removing different types of noises from the dermoscopic images,such as hair,speckle,and impulse noise,and the second stage is for segmentation of the dermoscopic images using an attention residual U-shaped Network(U-Net).The framework uses variational Autoencoders(VAEs)for removing the hair noises,the Generative Adversarial Denoising Network(DGAN-Net),the Denoising U-shaped U-Net(D-U-NET),and Batch Renormalization U-Net(Br-U-NET)for remov-ing the speckle noise,and the Laplacian Vector Median Filter(MLVMF)for removing the impulse *** the second main stage,the residual attention u-net was used for *** framework achieves(35.11,31.26,27.01,and 26.16),(36.34,33.23,31.32,and 28.65),and(36.33,32.21,28.54,and 27.11)for removing hair,speckle,and impulse noise,respectively,based on Peak Signal Noise Ratio(PSNR)at the level of(0.1,0.25,0.5,and 0.75)of *** framework also achieves an accuracy of nearly 94.26 in the dice score in the process of segmentation before removing noise and 95.22 after removing different types of *** experiments have shown the efficiency of the used model in removing noise according to the structural similarity index measure(SSIM)and PSNR and in the segmentation process as well.

关键词： Skin tumor speckle noise impulse noise hair noise deep learning segmentation

来源：评论

学校读者我要写书评

暂无评论

A Social Distancing Framework Based on GPS and Bluetooth Empowered by Feature-based Machine Learning Algorithm

引用

IEIE Transactions on Smart Processing and Computing 2025年第1期14卷 118-127页

作者： Khan, Muhammad Adnan Rehman, Abdur Abbas, Sagheer Ali, Muhammad Nadeem Kim, Byung-Seo Department of Software Faculty of Artificial Intelligence & Software Gachon University Seongnam13120 Korea Republic of School of Computer Science National College of Business Administration and Economics Lahore54000 Pakistan Department of Computer Science Prince Mohammad Bin Fahd University Al Khobar Saudi Arabia Department of Software and Communications Engineering Hongik University Sejong Campus Korea Republic of

The current COVID-19 epidemic is responsible for causing a catastrophe on a global scale due to its risky spread. The community’s insecurity is growing as a result of a lack of appropriate remedial measures and immunization against the disease. In this case, social distancing is thought to be an effective barrier against the spread of the contagion virus as the risk of virus transmission can be reduced by avoiding direct contact with people. Thus, the goal of this research is to develop and improve an AI (Artificial Intelligence) system architecture for social distance monitoring. The framework could also use the GPS (Global Positioning System) to recognize human separation through cell phones. The transition learning framework is also applied to improve the consistency of the existing system. In this manner, the detection system uses a pre-trained technique that takes a Bluetooth dataset and location-sharing dataset to link to an additional level. In an attempt to approximate social distancing breaches among people, we used Bluetooth technology along with GPS distance estimation and set a threshold. To predict if the distance value exceeds the required social distance standard, a violation threshold is calculated and then it sends an alarm to every individual who is not maintaining social distancing. In response, the individual who breaks the social distance limit is also monitored using a detection approach. © 2025 Institute of Electronics Engineers of Korea. All rights reserved.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

A Lightweight Network Slicing Scheme for 5G Coexistence Network in Multitenant and Services

A Lightweight Network Slicing Scheme for 5G Coexistence Netw...

引用

2022 International Symposium on Networks, computers and communications, ISNCC 2022

作者： Fang, Tianshun Xue, Hao Pan, Zhenni Shimamoto, Shigeru Waseda University Department of Communications and Computer Engineering Japan

ISBN: (数字)9781665485449

ISBN: (纸本)9781665485449

Resource allocation of 5G cellular network slicing has been gaining huge interest recently. However, it is not well-explored under the Multi-tenant and Multi-service Coexistence Network scenario. This paper proposes a dynamic network slicing scheme for the 5G Coexistence Network, which considers tenants, priority, baseband resources, slice granularity, service characteristics, quality of service (QoS), and fairness index. The framework of the network slicing scheme consists of a group-level, which performs clustering preprocessing, setting the priority of service, and filtering the desired characteristic service groups;and a slice-level, which performs radio resource allocation among services and follows the changes in the network environment closely. The simulation results show that the proposed scheme can achieve higher goal service group QoS, fairness, and overall QoS compared with three kinds of baseline schemes. © 2022 IEEE.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

WiFi for Privacy-Friendly Surveillance 15

WiFi for Privacy-Friendly Surveillance

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Ghosh, Akhilbaran Chouksey, Arjun Academy Of Technology Department of Computer Science and Engineering Adisaptagram West Bengal Hooghly India Jabalpur Engineering College Department of Electronics & Communications Engineering Madhya Pradesh Jabalpur India

ISBN: (纸本)9798350370249

In the ongoing debate between surveillance necessity and privacy concerns, WiFi sensing emerges as a promising solution for efficient data monitoring while safeguarding personal privacy. Unlike traditional surveillance methods relying on camera recordings, WiFi sensing utilizes Channel State Information (CSI) data to detect specific movements, offering advantages such as reduced data storage and processing time. This paper explores the effectiveness of WiFi CSI data in detecting human interactions within radio waves, highlighting its practical usability and enhanced accuracy compared to Received Signal Strength (RSS) measurements. Leveraging Convolutional Neural Networks (CNNs), a blind machine learning paradigm, this study demonstrates the potential of WiFi sensing for human activity recognition (HAR). While previous HAR research predominantly focused on camera feeds and wearable devices, this study pioneers the application of CNNs to WiFi CSI data analysis, showing promising results for occupancy detection, activity recognition, and gesture identification. Although there is room for further improvement in accuracy, this research lays a solid foundation for future studies in the burgeoning field of WiFi sensing-based surveillance. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

WindVibraTransformer: A Foundational Model for Precise and Robust Wind Turbine Condition Monitoring via Vibration Signals 23

WindVibraTransformer: A Foundational Model for Precise and R...

引用

23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024

作者： Wakayama, Takuya Inoue, Taiki Ogata, Jun Iida, Makoto Ogawa, Tetsuji Waseda University Department of Communications and Computer Engineering Japan Japan Research Center for Advanced Science and Technology The University of Tokyo Japan

ISBN: (纸本)9798350374889

We aimed to develop WindVibraTransformer, a foundational model based on Transformers applied to vibration spectrograms, to derive precise and robust feature representations for wind turbine condition monitoring. In anomaly detection for wind turbine equipment, it is common to employ inlier modeling, where models are built solely on data from normal operation, with deviations classified as anomalies. Acquiring data for wind turbines, especially from the specific turbine being monitored, is challenging, often resulting in limited availability. However, this limitation can increase susceptibility to false alarms due to environmental variations. Thus, in this study, we explored the use of a vision Transformer trained with self-supervised learning to predict masked spectra conditioned on unmasked ones from vibration spectrograms, serving as the precise and robust feature extractor. Since this model aims to capture relationships within the context of the surroundings rather than solely the overview of the spectrogram, the resulting feature representations are expected to be complex yet less directly influenced by environmental variations. The complexity of these feature representations is addressed by constructing the normal state model using highly expressive normalizing flows. Experimental comparisons conducted on anomaly detection using real wind turbine vibration signals demonstrated that our approach enables highly reliable detection compared to existing unsupervised auto-encoder-based and supervised wind turbine classifier-based feature extraction methods. © 2024 IEEE.

关键词： Spectrographs

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：