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Healthcare System Using IoT and Health Monitor Website

Healthcare System Using IoT and Health Monitor Website

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Industrial Electronics: Developments & Applications (ICIDeA), ieee international conference on-

作者： Priyanka Vijay Tandalekar Khushi Avinash Kokane Shruti Devendra Gokulpure Aditi Prashant Deshmukh Rashmi Panherkar Amruta Udapurkar Department of Electrical Engineering JSPM's Rajarshi Shahu College of Engineering Pune India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

Technological advancements and the miniaturization of sensors have prompted initiatives to implement these innovations in diverse fields, aiming to enhance the standard of living for individuals. A notable domain that has adopted this technology is the healthcare industry. Individuals requiring healthcare services often encounter high costs, a situation that is especially prevalent in developing nations. Consequently, the project aims to address a pressing healthcare issue that societies are currently facing, with the primary goal of developing a remote healthcare system. By analyzing data via a website, healthcare professionals or guardians can monitor a patient's health status from outside the hospital environment. In this initiative, we have designed a tailored Internet of Things (IoT) framework specifically aimed at healthcare applications. The project's aim was to establish a Health Analyzing System that employs locally sourced sensors, ensuring its cost-effectiveness for potential large-scale production. The suggested model gets the sensor data via the Arduino Nano microcontroller and sends the data to the cloud for processing and analysis., thereby facilitating remote access. The feedback actions derived from the analyzed data can be viewed on the website associated with the device.

关键词： Temperature sensors Temperature measurement Cloud computing Hospitals Medical services sensor systems Real-time systems sensors Internet of Things Monitoring

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Hierarchical Clustering Routing Algorithm for Wireless sensor Networks

Hierarchical Clustering Routing Algorithm for Wireless Senso...

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Information Technology,Big Data and Artificial Intelligence (ICIBA), international conference on ieee international conference on

作者： Ni Chen Rong Wen Shuying Ma Ping Wang School of Network and Communication Engineering Chengdu Technological University Chengdu China National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu China

Aiming at the problem that the uneven node distribution and the limited energy of nodes in wireless sensor networks, a clustering routing algorithm for wireless sensor networks based on hierarchical clustering is proposed. No need to calculate the optimal number of cluster heads in advance. Randomly distributed nodes in the network were divided into several original clusters according to the hierarchical clustering algorithm. During network working, the clusters were selected according to node residual energy and position in the original clusters. The cluster head got the distance of the node farthest from it within the original cluster and used that distance as the communication range for sending broadcast messages. Ordinary nodes chose to communicate with the cluster head of the same original cluster or with the sink node depending on the distance. The simulation results show that the algorithm can reasonably complete the clustering and better extend the network life cycle compared with LEACH and KM-LEACH.

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Adaptive Protection Coordination Scheme for Distribution System under Penetration of distributed Generation 3

Adaptive Protection Coordination Scheme for Distribution Sys...

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3rd international conference on High Voltage Engineering and Power systems, ICHVEPS 2021

作者： Tambun, Ra Crystal S. P. Banjar-Nahor, Kevin M. Hariyanto, Nanang Rahman, Fathin Saifur Rahmani, Rizky Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781665443548

Proper design of protection scheme is one of the problems that arise when distributed generation penetration increases. This is due to the changes in system condition from previously radial to multi-source causing modifications of the magnitude and flow of the fault current. Therefore, the conventional protection schemes that do not consider the direction of the current flow become insufficient to protect the system. Therefore, adaptive protection scheme that can adjust its settings dynamically depending on the condition of the system is needed to keep the system safe. The proposed adaptive protection scheme is tested on the ieee 3-bus test system on two conditions, the absence and presence of distributed generation. The algorithm is implemented on MATLAB and then verified on Power Factory 2020 to test its effectivity to clear the 3 phases, 2 phases, phase-ground and 2 phases - ground fault current. This algorithm also uses current contribution to prevent the occurrence of protection blinding and sympathetic tripping on this protection scheme. The proposed protection scheme is able to maintain the selectivity of relay operations despite changes in system topology, especially due to distributed generation. © 2021 ieee.

关键词： distributed power generation

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Optimal Sizing and Allocation of distributed Energy Resources using Genetic Algorithms: Case study of the Northern-Benghazi Power

Optimal Sizing and Allocation of Distributed Energy Resource...

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Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, ieee international Maghreb Meeting of the conference on

作者： Noureddine Farag Farkash Ahmed Tahir Department of Electrical and Electronics Engineering University of Benghazi Benghazi Libya

The main target is to use genetic algorithms to calculate the optimal location and size of distributed Generation (DG) units for power distribution systems. The algorithm's flexibility allows engineers, electric utilities, and distribution network operators to efficiently integrate new DG units into their current distribution networks by making changes and modifications to locate the optimal DG unit and estimate its optimum size. The proposed method can also improve voltage profiles and reduce total real and reactive power losses. Tests conducted on a section of the Benghazi distribution system show that the decision-making algorithm has acceptable accuracy and is compared against results from NEPLAN software. With the increasing popularity of distributed energy systems worldwide, this method provides solutions to many power system problems.

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Contactless Attendance cum Temperature Detection System with Real-time Alerts 3

Contactless Attendance cum Temperature Detection System with...

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3rd ieee international Virtual conference on Innovations in Power and Advanced computing Technologies, i-PACT 2021

作者： Patra, Dibyayan Agrawal, Anjan Srivastav, Archit Kathirvelan, J. School of Electronics Engineering Vellore Institute of Technology Vellore India Vellore Institute of Technology Department of Sensor and Biomedical Vellore India

ISBN: (纸本)9781665426916

Since the outbreak of the global pandemic (Covid-19) caused by the coronavirus, contactless systems have become widely prevalent. Partial operation of offices, colleges and other workplaces across the country has started. However, in such situations, it is difficult to monitor and track the status of the health of every attendee and employee. In this paper, we aim to build a smart automated contactless attendance system that can also track attendee's temperature, which too is done in a contactless fashion. In the case that an attendee has an abnormally high temperature, the respective authorities are informed and the employee is prohibited from entry to their workplace, considering the safety of the other employees. We have also incorporated concepts of cloud monitoring and computing to be able to monitor the details of every attendee from anywhere using an internet connection. Moreover, cloud computing helps us to analyse this data and generate automated alerts when needed. © 2021 ieee.

关键词： Personnel

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Development of a Software Tool for Power Flow Analysis in a distributed Generation Integrated Radial Distribution System 3

Development of a Software Tool for Power Flow Analysis in a ...

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3rd international conference on Electrical Engineering, EECon 2021

作者： Guruge, Pasan Kodikara, Asini Karunasena, Panduka Widanagama Arachchige, Lidula N. Department of Electrical Engineering University of Moratuwa Moratuwa Sri Lanka

ISBN: (纸本)9781665417129

Distribution system power flow analysis has significant differences when compared with that of transmission systems owing to their special topological properties. Hence, application of conventional power flow methods on ill-conditioned distribution systems brings out unsatisfactory results. Integration of distributed generation has caused the distribution system to become no longer passive in nature, highlighting the importance of more precise algorithms for power flow analysis. Solving power flow problems, which are mostly based on solving systems of non-linear algebraic equations can be efficiently done using software tools. However, most of the available software tools are focused on transmission systems and are very expensive. This study focuses on coming up with a software tool to solve power flow problems in distributed generation integrated radial distribution systems, which can be used as a teaching tool at universities. The proposed algorithm is based on the Forward Backward Sweep Method, and attempts have been made to model each distribution system component in a way that reflects the system parameters reasonably. Algorithm was tested on standard ieee 4 Bus system, ieee 13 Bus system and ieee 15 Bus system, and the results were analyzed to assess the validity of the proposed algorithm. © 2021 ieee

关键词： distributed power generation

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Arc Fault Detection in Photovoltaic systems Based on Pseudo Wigner-Ville distributed Algorithm 3

Arc Fault Detection in Photovoltaic Systems Based on Pseudo ...

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3rd international conference on Smart Power and Internet Energy systems (SPIES) - Towards A Sustainable and Affordable Energy Transition

作者： Li, Rui Xiong, Qing Zhang, Chen Di, Zhenguo Li, Ting Ji, Shengchang Li, Jisheng Shaanxi Normal Univ Sch Phys & Informat Technol Xian Peoples R China Xi An Jiao Tong Univ State Key Lab Elect Insulat & Power Equipment Xian Peoples R China

ISBN: (纸本)9780738146331

DC arc fault occurring in a photovoltaic (PV) system may cause fire accidents, which should be detected and isolated timely. A novel DC arc fault detection method using Pseudo Wigner-Ville distributed (PWVD) algorithm is proposed. Arc fault experiment platform in a 5 kW grid connected PV system is built, and the circuit current of the PV strings under different test conditions are measured. The PWVD algorithm is used to analyze the currents. The time-frequency graph of the current can be obtained, and the characteristic parameters for arc fault detection are extracted. The PWVD results can intuitively reflect the time, frequency and amplitude information of the current. The proposed method can detect DC arc fault in PV system accurately.

关键词： DC arc fault detection PV system data preprocessing PWVD

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Enhancing Energy Consumption of a Node in Wireless sensor Networks Using Quick Response Code 3

Enhancing Energy Consumption of a Node in Wireless Sensor Ne...

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3rd international conference on Inventive Research in computing Applications, ICIRCA 2021

作者： Nidhya, M.S. Veronica, Benita K. J. Jayakarthik, R. Parvathavardhini, K. Pmist Dept of Software Engineering Thanjavur India Mother Teresa University Dept of Computer Science Kodaiakanal India Vistas Dept of Computer Science Chennai India

ISBN: (纸本)9780738146270

Sending messages, retransmission of identical messages, and sensing information in the monitored environment can quickly reduce the energy consumption of a sensor node present in a wireless sensor network. Due to repeated delivery of the same message, the battery loses power and drops dead. Node closer to the sink node will quickly deplete its energy by forwarding the messages. Total network lifetime will also be decreased. To overcome this, this research work use Quick response code (QR) for message transmission and reject the transmission of the same message several times. © 2021 ieee.

关键词： Energy utilization

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distributed Ledger Methods in Securing Software-Defined Networks 3

Distributed Ledger Methods in Securing Software-Defined Netw...

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3rd international conference on Control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021

作者： Dautov, Damir Khayretdinov, Rinat Vulfin, Alexey Mironov, Konstantin Ufa State Aviation Technical University Dept. of Computed Engineering and Information Security Ufa Russia Inmt Ural Federal University Ufa State Aviation Technical University Comp. Engineering and Inf. Sec. Dept. Ufa Russia

ISBN: (纸本)9781665439817

Software-defined networks are becoming more popular as the number of devices in large enterprise networks continues to grow. However, this technology has vulnerabilities that can be very dangerous for company. An algorithm of implementation of the distributed ledgers in software-defined networks for security purposes is proposed in this paper. © 2021 ieee.

关键词： distributed ledger

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A Comparative Study of Datasets for Cyber-attacks Detection in Wireless sensor Networks

A Comparative Study of Datasets for Cyber-attacks Detection ...

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computing and Machine Intelligence (ICMI), international conference on

作者： Shereen Ismail Diana W. Dawoud Hassan Reza School of Electrical Engineering and Computer Science University of North Dakota ND USA College of Engineering and Information Technology University of Dubai Dubai UAE

ISBN: (数字)9798350372977

ISBN: (纸本)9798350372984

Machine Learning (ML) is one of the effective security approaches to build cyber-attacks detection systems in Wireless sensor Networks (WSNs). ML leverages the power of data analysis and pattern recognition to detect and classify various types of cyber-attacks to enhance the security of WSN s. A well-constructed dataset is one of the key factors that significantly impact the performance and generalization capabilities of any ML classifier trained on it. In this paper, we evaluate the effectiveness of two datasets: WSN-DS and WSN-BFSF which are specialized for Denial-of-Service (DoS) attacks targeting WSNs. We compare the two datasets in terms of their key characteristics, dataset quality, and ML classification performance. Mutual Information (MI) and Recursive Feature Elimination (RFE) are used for feature selection. The dataset quality is measured using statistical information calculation. The ML classification performance is investigated for three supervised ensemble techniques: LightGBM, bagging, and stacking using evaluation metrics including probability of detection, probability of false alarm, probability of misdetection, classification accuracy, model size, and processing time.

关键词： Measurement Wireless sensor networks Time division multiple access Stacking Probability Feature extraction Pattern recognition

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