4.6 Article

Cloud-Based Fault Prediction for Real-Time Monitoring of Sensor Data in Hospital Environment Using Machine Learning

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Multidisciplinary

Enhanced Virtualization-Based Dynamic Bin-Packing Optimized Energy Management Solution for Heterogeneous Clouds

Neha Gupta et al.

Summary: This paper introduces two bin-packing algorithms based on dynamic best-fit decreasing, designed for service providers and acting as a switcher, aiming to improve resource utilization, reduce energy consumption, decrease makespan, and meet various user requests. The simulations conducted in Java show that DEE-BFD can increase resource utilization by 96%, while EM switcher can reduce total energy consumption by 49% and makespan by 56%.

MATHEMATICAL PROBLEMS IN ENGINEERING (2022)

Article Computer Science, Software Engineering

Recognition of Gurmukhi Handwritten City Names Using Deep Learning and Cloud Computing

Sandhya Sharma et al.

Summary: This study focuses on the recognition of city names using a convolutional neural network (CNN) in a deep learning approach. Through training and validation on handwritten city names in 10 different categories, the best average validation accuracy of 99.13% was achieved.

SCIENTIFIC PROGRAMMING (2022)

Article Green & Sustainable Science & Technology

Smart-Hydroponic-Based Framework for Saffron Cultivation: A Precision Smart Agriculture Perspective

Kanwalpreet Kour et al.

Summary: This paper discusses artificial methods for saffron cultivation, evaluates six hydroponic approaches, and explores the factors influencing saffron growth and reasons for decline. The research also proposes a smart hydroponic system using NFT and renewable energy sources.

SUSTAINABILITY (2022)

Article Mathematical & Computational Biology

Deep Learning Model for the Automatic Classification of White Blood Cells

Sarang Sharma et al.

Summary: Blood cell count is important for disease diagnosis. This paper proposes a deep learning model using DenseNet121 to classify different types of white blood cells. The model achieves high accuracy through preprocessing techniques and outperforms with batch size 8.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2022)

Article Engineering, Electrical & Electronic

Privacy for Healthcare Data Using the Byzantine Consensus Method

Gaurav Dhiman et al.

Summary: This research proposes an optimized Byzantine consensus algorithm for the healthcare scenario, addressing the scalability, arbitrary master node selection, and high network overhead issues in the Healthcare Byzantine consensus method (HBFT). It introduces roles and additional permissions for nodes, reputation-based voting and the FTS algorithm for node selection, and a tree-combined voting algorithm for election security and fairness. The optimized HBFT consensus mechanism reduces network overhead. The suggested POC consensus algorithm has high features dynamics, election security, and minimal overhead compared to HBFT.

IETE JOURNAL OF RESEARCH (2022)

Article Engineering, Electrical & Electronic

Mitigating the Coexistence Technique in Wireless Body Area Networks By Using Superframe Interleaving

Samira Kanwal et al.

Summary: This paper studies the issue of coexistence in a wireless body area network (WBAN) and proposes two schemes for addressing this issue using Superframe interleaving technique. These schemes mitigate interference and adjust the duration of Superframe based on the traffic requirement of each network.

IETE JOURNAL OF RESEARCH (2022)

Article Computer Science, Information Systems

SWOT: A Hybrid Hardware-Based Approach for Robust Fault-Tolerant Framework in a Smart Day Care

Sheetal Sharma et al.

Summary: The Internet of Things (IoT) has been widely adopted in various fields, including day cares. This study aims to investigate the challenges of IoT device performance and the need for fault detection in an IoT-enabled day care. A novel hybrid hardware-based approach, SWOT, is proposed to detect faulty appliances and ensure the efficient operation of IoT devices in the day care. The evaluation shows that SWOT is an economical and efficient method with high accuracy and a low false alarm ratio.

SECURITY AND COMMUNICATION NETWORKS (2022)

Article Green & Sustainable Science & Technology

Sustainable Network by Enhancing Attribute-Based Selection Mechanism Using Lagrange Interpolation

Chetna Monga et al.

Summary: Although significant progress has been made in the security framework of Ad-hoc Networks (ANET), it remains challenging to ensure security due to the vulnerability of wireless links. Researchers have shown improvement in Identity Dependent Cryptography (IDC) in recent years. This paper proposes a solution to address the trust issues raised in Lagrange's-PI (LI) by utilizing an artificial neural network and attribute-based tree structure.

SUSTAINABILITY (2022)

Article Green & Sustainable Science & Technology

Controlling Agronomic Variables of Saffron Crop Using IoT for Sustainable Agriculture

Kanwalpreet Kour et al.

Summary: Saffron, known as the golden spice, is a valuable crop due to its rarity and nutritional and medicinal value. Studying the agronomical factors of saffron can lead to the development of an artificial cultivation model for saffron in any season and anywhere. The use of IoT technology for sustainable saffron cultivation in smart cities has been discussed in few research papers.

SUSTAINABILITY (2022)

Article Mathematical & Computational Biology

Using Identity-Based Cryptography as a Foundation for an Effective and Secure Cloud Model for E-Health

Shikha Mittal et al.

Summary: Cloud computing is a popular application for storing data and information over the internet. Ensuring privacy and security of healthcare data in the cloud computing environment is a major concern. This paper proposes a novel algorithm and an identity-based cryptography approach for an efficient and secure E-Health cloud model. Comparisons with existing techniques show that the proposed encryption method reduces decryption time and power consumption.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2022)

Article Green & Sustainable Science & Technology

A Fog-Cluster Based Load-Balancing Technique

Prabhdeep Singh et al.

Summary: The Internet of Things is crucial for the development of smart homes and smart cities. Fog computing, which brings cloud services closer to the edge, addresses issues such as increased latency and inefficient resource use. Load balancing plays a critical role in fog computing to distribute dynamic load evenly and optimize resource utilization. A framework was proposed in this paper to decrease bandwidth costs and provide load balancing, achieving energy savings and improved performance compared to existing algorithms.

SUSTAINABILITY (2022)

Article Telecommunications

Energy Optimization for Green Communication in IoT Using Harris Hawks Optimization

Kapal Dev et al.

Summary: Internet of Things (IoT) has gained attention but faces challenges such as security and energy optimization. Researchers have tried to optimize energy in IoT networks by selecting optimal Cluster Heads (CHs). This paper proposes using Harris Hawks Optimization algorithm (HHO) to optimize energy utilization in IoT networks and compares its performance to other models. The results show that the proposed HHO model outperforms other models in terms of delay, load, number of alive nodes, residual energy, and temperature.

IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING (2022)

Article Computer Science, Information Systems

Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve

Mudita Uppal et al.

Summary: This paper presents a novel technique called fall curve for predicting and diagnosing faults in IoT sensors. By plotting the fall curve, the working status of sensors can be determined, enabling early prediction of faults. The paper also conducts a bibliometric analysis of relevant research papers from the past five years and provides solutions to overcome the limitations of the fall curve technique.

CMC-COMPUTERS MATERIALS & CONTINUA (2022)

Article Management

Development of integrated cloud-based Internet of Things (IoT) platform for asset management of elevated metro rail projects

Debasis Sarkar et al.

Summary: This paper introduces a cloud-based IoT platform for asset management of elevated metro rail project. The platform provides real-time information about the project assets and their locations, which helps in better asset management. The prototype testing shows that the platform is feasible for asset monitoring and management at construction sites and improves production efficiency.

INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT (2022)

Article Computer Science, Software Engineering

A metaheuristic optimization approach for energy efficiency in the IoT networks

Celestine Iwendi et al.

Summary: The study focuses on reducing energy consumption of sensors in IoT networks to extend network lifetime by optimizing the selection of Cluster Heads (CH) in the network, using a hybrid metaheuristic algorithm and comparing results with other optimization algorithms.

SOFTWARE-PRACTICE & EXPERIENCE (2021)

Review Health Care Sciences & Services

Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees

Mudita Uppal et al.

Summary: The novel IoT paradigm is being recognized for promoting the presence of smart devices in various sectors, such as transportation, healthcare, industries, and agriculture. Smart offices utilize machine learning to monitor device health and recommend solutions for fault prediction to ensure indoor comfort and efficiency.

JOURNAL OF HEALTHCARE ENGINEERING (2021)

Article Environmental Sciences

An IoT Framework for Screening of COVID-19 Using Real-Time Data from Wearable Sensors

Hamid Mukhtar et al.

Summary: The fast contactless spread of COVID-19 has led to difficulties in screening, but this study has developed a medical device that utilizes sensors to monitor the health status of virus-infected individuals in real-time and classifies them based on rule-based decision-making. This approach enables quick identification of infected individuals and reduces the risk of transmission in a short period of time.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2021)

Article Computer Science, Artificial Intelligence

Providing diagnosis on diabetes using cloud computing environment to the people living in rural areas of India

Dharmendra Singh Rajput et al.

Summary: The researchers developed a reference model to assist rural diabetes patients in early characterization and improve communication between patients and doctors. Further analysis compared the accuracy of different machine learning models, with Support Vector Machine showing the highest accuracy in prediction.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

Article Health Care Sciences & Services

Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China

Zhipeng Zhang et al.

Summary: The study focuses on government agencies' public health environmental management and influencing factors using Internet of Things and edge computing. Data analysis is conducted through the Naive Bayes algorithm, and a system architecture for public health environmental management is constructed with IoT technology. The proposed system meets security, privacy, efficiency, and data security requirements, leading to significant improvement in the evaluation level of public health environment through algorithm optimization and architecture design.

JOURNAL OF HEALTHCARE ENGINEERING (2021)

Article Computer Science, Artificial Intelligence

Internet of Things based multiple disease monitoring and health improvement system

AbdulAziz AbdulGhaffar et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)

Article Computer Science, Information Systems

The design of an m-Health monitoring system based on a cloud computing platform

Boyi Xu et al.

ENTERPRISE INFORMATION SYSTEMS (2017)

Article Chemistry, Analytical

Monitoring Citrus Soil Moisture and Nutrients Using an IoT Based System

Xueyan Zhang et al.

SENSORS (2017)

Proceedings Paper Computer Science, Information Systems

On the use of IoT and Big Data Technologies for Real-time Monitoring and Data Processing

Y. Nait Maleka et al.

8TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2017) / 7TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2017) / AFFILIATED WORKSHOPS (2017)

Article Economics

Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation

Daron Acemoglu et al.

AMERICAN ECONOMIC REVIEW (2017)

Article Computer Science, Hardware & Architecture

Cloud-assisted Industrial Internet of Things (IIoT) - Enabled framework for health monitoring

M. Shamim Hossain et al.

COMPUTER NETWORKS (2016)

Article Computer Science, Interdisciplinary Applications

Manufacturing intelligence for reducing false alarm of defect classification by integrating similarity matching approach in CMOS image sensor manufacturing

Ying-Jen Chen et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2016)

Article Engineering, Mechanical

Fault diagnosis in spur gears based on genetic algorithm and random forest

Mariela Cerrada et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)

Article Computer Science, Artificial Intelligence

Sequential fuzzy clustering based dynamic fuzzy neural network for fault diagnosis and prognosis

Amin Torabi Jahromi et al.

NEUROCOMPUTING (2016)

Proceedings Paper Computer Science, Information Systems

Analysis of Eight Data Mining Algorithms for Smarter Internet of Things (IoT)

Funian Alam et al.

7TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2016)/THE 6TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2016) (2016)

Article Computer Science, Theory & Methods

Secure and efficient data access control in cloud computing environment: A survey

Suyel Namasudra et al.

MULTIAGENT AND GRID SYSTEMS (2016)

Article Environmental Sciences

A Survey of Occupational Health Hazards Among 7,610 Female Workers in China's Electronics Industry

Wenlan Yu et al.

ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH (2013)

Article Engineering, Biomedical

Toward Ubiquitous Healthcare Services With a Novel Efficient Cloud Platform

Chenguang He et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)

Article Computer Science, Artificial Intelligence

Machine learning approach for automated visual inspection of machine components

S. Ravikumar et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Engineering, Electrical & Electronic

IP Based Home Automation System

Ali Ziya Alkar et al.

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS (2010)