检索结果-内蒙古大学图书馆

Developed Fall Detection of Elderly Patients in Internet of Healthcare Things

Computers, Materials & Continua 2023年第8期76卷 1689-1700页

作者： Omar Reyad Hazem Ibrahim Shehata Mohamed Esmail Karar College of Computing and Information Technology Shaqra UniversityP.O.Box 33Shaqra11961Saudi Arabia Faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt Faculty of Engineering Zagazig UniversityZagazig44519Egypt Faculty of Electronic Engineering Menoufia UniversityMenouf32952Egypt

Falling is among the most harmful events older adults may *** the continuous growth of the aging population in many societies,developing effective fall detection mechanisms empowered by machine learning technologies and easily integrable with existing healthcare systems becomes *** paper presents a new healthcare Internet of Health Things(IoHT)architecture built around an ensemble machine learning-based fall detection system(FDS)for older *** to deep neural networks,the ensemble multi-stage random forest model allows the extraction of an optimal subset of fall detection features with minimal *** number of cascaded random forest stages is automatically *** study uses a public dataset of fall detection samples called SmartFall to validate the developed fall detection *** SmartFall dataset is collected based on the acquired measurements of the three-axis accelerometer in a *** scenario in this dataset is classified and labeled as a fall or a *** comparison to the three machine learning models—K-nearest neighbors(KNN),decision tree(DT),and standard random forest(SRF),the proposed ensemble classifier outperformed the other models and achieved 98.4%*** developed healthcare IoHT framework can be realized for detecting fall accidents of older people by taking security and privacy concerns into account in future work.

关键词： Elderly population fall detection wireless sensor networks Internet of health things ensemble machine learning

来源：评论

学校读者我要写书评

暂无评论

Infodeslib: Python Library for Dynamic Ensemble Learning using Late Fusion of Multimodal Data 4

Infodeslib: Python Library for Dynamic Ensemble Learning usi...

引用

4th International Workshop on Knowledge-Infused Learning, KiL 2024

作者： Juraev, Firuz El-Sappagh, Shaker Abuhmed, Tamer College of Computing and Informatics Sungkyunkwan University Korea Republic of Faculty of Computer Science and Engineering Galala University Egypt

There has been a notable increase in research focusing on dynamic selection (DS) techniques within the field of ensemble learning. This leads to the development of various techniques for ensembling multiple classifiers for a specific instance or set of instances during the prediction phase. Despite this progress, the design and development of DS approaches with late fusion settings and their explainability remain unexplored. This work proposes an open-source Python library, Infodeslib, to address this gap. The library provides an implementation of several DS techniques, including four dynamic classifier selections and seven dynamic ensemble selection techniques, all of which are integrated with late data fusion settings and novel explainability features. Infodeslib offers flexibility and customization options, making it a versatile tool for various complex applications that require the fusion of multimodal data and various explainability features. Multimodal data, which integrates information from diverse sources or sensor modalities, is a common and essential setting for real-world problems, enhancing the robustness and depth of data analysis. These data can be fused in two main ways: early fusion, where different modalities are combined at the feature level before model training, and late fusion, where each modality is processed separately and the results are combined at the decision level. The library is fully documented following the Read the Docs standards. The documentation, code, and examples are available anonymously on GitHub at https://***/InfoLab-SKKU/infodeslib. © 2024 Copyright for this paper by its authors.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Power transmission network planning under uncertainties

Power transmission network planning under uncertainties

引用

2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Vukadinović, Neven Pavić, Ivica Holjevac, Ninoslav Zagreb Croatia University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789531842976

The optimization of load flow analysis is crucial for the efficient observation of the impact of new power plants into existing electricity power systems (EPS). The advent of integration of new energy sources has reduced construction timeline requirements to 4-5 years, creating a lag in the development of supporting electricity infrastructure. This paper explores the spatial and temporal dimensions of EPS development planning, illustrated through the example of two new connection requests to a transmission network, with emphasis on importance of load flow optimization and the potential failure analysis to meet the (N-1) contingency criterion, which ensures system reliability during outages. This paper underscores the necessity of strategic planning in EPS development to accommodate new generation units while maintaining system stability and reliability at the satisfactory levels. © 2024 IEEE.

关键词： Load flow optimization

来源：评论

学校读者我要写书评

暂无评论

WIP: The Phases of Robot Design: Storytelling Lesson for Students and a Survey Tool for Scientists 54

WIP: The Phases of Robot Design: Storytelling Lesson for Stu...

引用

54th IEEE Frontiers in Education Conference, FIE 2024

作者： Storjak, Ivana Karabin, Petra Krzic, Ana Sovic University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Primary School Dragutin Domjanic Zagreb Croatia

ISBN: (纸本)9798350351507

This work-in-progress innovative practice paper presents a storytelling lesson about robot design aiming to familiarize students with the multidisciplinary nature of robotics as a career. The lesson is based on an integrated STEM approach and structured as a narrative that follows the journey of roboticists in designing a robotic model of a rabbit by using the LEGO® Spike Prime robotic set. Students are immersed in the storyline as characters helping roboticists to test and evaluate their designs. This practical constructivist assignment includes two steps: 1) testing and evaluating assembly instructions and 2) testing and evaluating the two models (visually and by using programming exercises). The two models present distinctive styles of assembly instructions, standard LEGO® building instructions made in Studio 2.0 and 3D building instructions made in BuildIn3D. When it comes to design, the models display different orientations (vertical and horizontal), complexity (number of parts), and mechanics of movement. For this reason, this lesson also serves as a usability and comparative study. Lesson sheets narrate the story and guide the progression while also serving as a testing diary and reflection tool. This approach where students internalize lessons through personal involvement was chosen to facilitate engagement and support problem-solving and knowledge building, scientific inquiry, critical thinking, design thinking, think-pair-share, discovery, and discussion. The lesson was piloted during the teachers' training, after which teachers presented it to their students in elementary schools. Results are based on feedback from 42 students and 11 teachers. Results show that 17% of students included in the study never owned or assembled LEGO®. When it comes to assembly instructions, students considered standard instructions easier to navigate and follow with clearer illustrations and steps. On the other hand, they recognized that 3D instructions provided more detail an

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

Gesture Recognition for Phrase Interpretation: A Deep Learning Approach

Gesture Recognition for Phrase Interpretation: A Deep Learni...

引用

2024 International Conference on Intelligent Systems for Cybersecurity, ISCS 2024

作者： Puyam, Kelvin Singh, Nishant Aruna, M. SRM Institute of Science and Technology Department of Computing Technologies Chennai India SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Chennai India

ISBN: (纸本)9798350375237

Gesture recognition holds paramount significance in facilitating communication for individuals utilizing sign language to convey phrases and expressions. We present an innovative approach to gesture recognition in this article tailored for interpreting hand signs to derive meaningful phrases, such as 'I love you,' 'please,' 'sorry,' and 'goodbye.' Our proposed methodology integrates a multi-box detector (SSD) with dynamic hand gesture analysis to achieve real-time and accurate recognition of hand signs across various languages and cultural contexts. By harnessing the power of deep learning SSD for object detection, our system ensures swift responses while maintaining precision. Additionally, the incorporation of dynamic hand gesture analysis techniques enhances the system's adaptability to diverse sign styles and linguistic nuances, thus fostering better communication access. By means of meticulous experimentation, we establish the effectiveness of our methodology in precisely identifying and deciphering real-time sign language gestures, attaining noteworthy results in terms of both speed and accuracy. This study enhances assistive technology for hard-of-hearing and deaf communities, thereby promoting accessibility and inclusiveness in communication environments that are accommodated to the linguistic requirements of a variety of individuals. © 2024 IEEE.

关键词： Gesture recognition

来源：评论

学校读者我要写书评

暂无评论

Utilizing Proxy Re-Encryption for Enhanced Security in Data Sharing based on Blockchain 7

Utilizing Proxy Re-Encryption for Enhanced Security in Data ...

引用

7th International Conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Saisanthiya, D. Saxena, Naman Saini, Pratham SRM Institute of Science and Technology Networking and Communications School of Computing Faculty of Engineering and Technology Chennai603203 India

ISBN: (纸本)9798350372816

The rapid growth of the Internet of Things (IoT) has underscored the critical need for robust information exchange mechanisms, especially within cloud services. However, this advancement also introduces significant data security risks due to the potential for misuse. To address these concerns, this research proposes an innovative method to bolster data security in cloud environments using proxy re-encryption. Our method employs identity-based encryption, enabling data owners to securely upload encrypted data to the cloud. Authorized users can then access this data through a proxy re-encryption process. To handle computationally demanding tasks, an edge device functions as a proxy, thereby alleviating the limitations of typical IoT devices. A key feature of our system is the integration of blockchain technology, which decentralizes data sharing and alleviates the bottlenecks inherent in centralized systems, while also enabling fine-grained access control. A thorough data security analysis and review indicate that our solution effectively ensures data confidentiality, integrity, and public *** of Form, Bottom of Form. © 2024 IEEE.

关键词： Cloud security

来源：评论

学校读者我要写书评

暂无评论

Powering the Future: The Latest Breakthrough in Wireless Charging for Electric Vehicles 4

Powering the Future: The Latest Breakthrough in Wireless Cha...

引用

4th IEEE International Conference in Power engineering Applications, ICPEA 2024

作者： Fry, Matthew Islam, Muhammad Usama Islam, Syed Zahurul Uddin, Jasim Cardiff Metropolitan University Department of Applied Computing and Engineering United Kingdom University of Louisiana at Lafayette School of Computing and Informatics United States Universiti Tun Hussein Onn Faculty of Electrical and Electronics Engineering Malaysia

ISBN: (纸本)9798350344578

Recently, the Electric Vehicle (EV) market has experienced significant growth and is projected to expand exponentially with the advancement of technology. Major industries are increasingly adopting the concept of producing hybrid or fully electric cars, resulting in electric vehicles becoming a common sight in today's era. This research examines the potential of wireless power transfer systems as an alternative method of charging electric automobiles. Despite the widespread use of traditional plug-in charging, wireless charging proves to be more effective and convenient. The study evaluates various approaches to integrating wireless charging into an electric vehicle prototype, represented by a remote-control car. It also explores the background and advancements of wireless charging technology. By optimising the design of the transmitter and receiver, based on circuits used for mobile phone chargers, the necessary power (5V, 2A) is provided to the remote-controlled car. Voltage regulators are utilized to manage the output voltage of the receiver circuit during simulations, which assess the circuit's performance under different conditions. The results suggest that wireless charging could serve as a practical and environmentally friendly alternative to conventional charging methods. © 2024 IEEE.

关键词： Transmitters

来源：评论

学校读者我要写书评

暂无评论

How do Employees Engage Within an Online Wellbeing Platform? Insights FromAssociation Rule Mining Analysis 32

How do Employees Engage Within an Online Wellbeing Platform?...

引用

32nd Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2024

作者： Cameron, Gillian Mulvenna, Maurice Bond, Raymond Ennis, Edel O’Neill, Siobhan Cameron, David Bunting, Alex Inspire Belfast United Kingdom School of Computing Faculty of Computing Engineering & the Built Environment Ulster University Belfast United Kingdom School of Psychology Faculty of Life and Health Sciences Ulster University Coleraine United Kingdom

The increasing availability of mental health data presents both opportunities and challenges, particularly due to the unstructured and noisy nature of such data. Data mining—an analytical approach for extracting knowledge from large datasets—is becoming increasingly prevalent in the fields of medicine and mental health. By employing data mining techniques, the insights can help inform the development of enhanced digital tools for mental health and fostering a more personalised user experience. One notable method within this domain is association rule mining, which identifies frequent relationships between items in a dataset. This study aims to apply association rule mining to a dataset generated by users of a digital employee wellbeing platform, focusing on the relationships between various tools and resources utilised on the platform. The Inspire Support Hub is a digital employee wellbeing platform featuring tools such as a mood tracker, a chatbot for self-assessments, and psychoeducational resources. User interactions with the platform are logged as anonymous events, including clicks, mood entries, and self-assessment results, each associated with a unique user ID and timestamp. Upon registration, users enter a company pin and their sector is recorded. From February 2019 to April 2023, 11,583 users engaged with the platform over 16,657 sessions. The analysis was conducted using R Studio, employing the dplyr and tidyverse packages for data cleaning and wrangling, along with ggplot2 for visualisation. The event logs were transformed into transaction data for association rule mining using the arules package. The Apriori algorithm was applied with a minimum support threshold of 0.05 and a confidence level of 0.8, ensuring that only rules with at least 80% accuracy were included. Applying association rule mining on the employee wellbeing platform dataset revealed distinct sets of co-associations, with significant emphasis on the chatbot and mood tracker. This is predic

关键词： Economic and social effects

来源：评论

学校读者我要写书评

暂无评论

Enhancing Agricultural Efficiency with IoT-Enabled Precision Irrigation Management Using LoRaWAN Technology 16

Enhancing Agricultural Efficiency with IoT-Enabled Precision...

引用

16th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Jayasinghe, J.A.S.K. Thennakoon, T.M.H.L. Ruchira, U.G.C. Wimalasena, N.G.C.L. Jayakody, J.A.D.C.A. Pandithage, Dinithi Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798331505264

The Internet of Things-empowered precision irrigation management system with LoRaWAN technology is presented given the growing food requirements across the world and pressing calls for judicious use of water in agriculture. Flow Pilot, specifically designed for chili farms, optimizes water application while enhancing crop health using precise and automated irrigation. The Flow Pilot features advanced sensors such as soil moisture, temperature, humidity, and rain sensors that collect real-time environmental data transmitted over a LoRaWAN network for analysis. Flow Pilot uses the Machine learning algorithm by analyzing sensor data to make localized irrigation recommendations based on crop needs, environmental factors, and weather forecasting. LoRaWAN gateways will support this for long-ranged communications over power-consuming agricultural fields. Besides this, it can use different network architectures. There is also an automated water tank management module that regulates the supply of water and pH levels to have optimal conditions for crop growth. A visually simple dashboard interface enables farmers to inspect and operate irrigation processes remotely, hence rendering the whole process far more efficient. Finally, over the extensive period of field tests executed by the project, Flow Pilot was able to save water, improve crop yields, and help support sustainable agriculture. For example, this testing supports the potential of IoT with LoRaWAN technologies, such as the Flow Pilot implementation, for a game change in conventional irrigation practices into a modern, scalable, and reliable solution. © 2024 IEEE.

关键词： Soil moisture

来源：评论

学校读者我要写书评

暂无评论

Polymorphic Security Enhancements for Corporate Environments Utilizing Behavior Analytics

Polymorphic Security Enhancements for Corporate Environments...

引用

2024 International Conference on Computer and Applications, ICCA 2024

作者： Wijesinghe, W.M.A.J. Abeysinghe, Y.P.P. Rukshana, M.A.F. Adhikari, A.M.P.S. Abeywardhana, Kavinga Yapa Siriwardhana, Deemantha Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350367560

Employers should recognize that employees are the most vulnerable aspect of business environments since these cyber hazards are growing because of user neglect, lack of fundamental security discipline, and a fast-changing threat context. The theoretical approach proposed in the study bridges the difference by carefully following and handling the staff's internet presence. Overall, the study describes a comprehensive solution to govern the security of employees' internet presence by utilizing Artificial Neural Networks (ANN) for advanced intrusion detection, Natural Language Processing (NLP) for implementation and enforcement of browser-based security policies, visual and text data recognition to identify phishing attempts, and lastly analyzing and profiling users based on their online presence via a mathematical model. As a result, this study provides a comprehensive solution for mitigating risks related to human factors in corporate environments. © 2024 IEEE.

关键词： Phishing

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：