Secure Health Monitoring of Soldiers with Tracking System using IoT: A Survey

Kulkarni, Pallavi; Kulkarni, Tripti; Dsatm, Bangalore

doi:10.31142/ijtsrd23834

Cited by 11 publications

(3 citation statements)

References 5 publications

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“…In this case, SD means the sustainable use of the biological diversity components and the fair and equitable sharing of its benefits. Furthermore, SD related to biodiversity at all levels (ecosystems, species and genetic resources), including biotechnology, explained in the Cartagena Protocol on Biosafety (Kulkarni A., 2012). Hence, the SD also covers all possible domains directly or indirectly related to biodiversity and its association in development, ranging from science, politics, education, agriculture, business, culture and more.…”

Section: Convention On Biological Diversitymentioning

confidence: 99%

Operationalising Sustainable Development Practice for Area-Based Sustainability Implementing Un-SDGS (2015-2030) at the Local District Area

LUDI APIN, MOHD SAYUTI HASSAN

2023

RLJ

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This paper discussed district sustainability as a set of system delimitations that are practically appropriate and manageable to implement the seventeen UN-SDGs to balance environmental, social, and economic development. By default, the district system is a socio-ecological system and a geographically defined area where the sustainability pillars are balanced to provide a symbiotic condition. However, the consideration and operationalisation of environmental role in the district’s socio-economic development decision-making process not explicitly emphasised. The emphasis should focus on the critical role of communication, participation, and collaboration among diverse stakeholders in implementing and operationalising the natural environmental role, the fundamental component of district sustainability, and further democratising natural resources and landscape planning to guarantee district sustainability. If replicated all the districts within state, provincial, regional, and national levels, the sustainable district could aid in the achievement of the 17 UN-SDGs.

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Section: Convention On Biological Diversitymentioning

confidence: 99%

Operationalising Sustainable Development Practice for Area-Based Sustainability Implementing Un-SDGS (2015-2030) at the Local District Area

LUDI APIN, MOHD SAYUTI HASSAN

2023

RLJ

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“…when the feeder is disconnected from the primary system. The PD can additionally be equipped with the automatic reclosing capability, by which a delayed circuit breaker closing is issued aimed at avoiding permanent interruption of service in case of temporary faults [28].…”

Section: A Static Information: Network Structurementioning

confidence: 99%

Algebraic Framework for Outage Information Management in Distribution Networks

Rodríguez-Montañés

Macías

Gómez-Expósito

et al. 2018

IEEE Trans. Power Syst.

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During faulty conditions, a sustained and heterogeneous stream of information, coming mainly from field signaling devices and customer calls, arrives at the Distribution Management System. This data should be promptly and systematically processed so that the faulted section can be isolated and service restored to customers as soon as possible. This paper presents a matrix-based framework allowing the status of the distribution grid and associated protection, signaling and switching devices to be compactly modeled and tracked. By means of algebraic expressions, the proposed information management system can infer the existence of a blackout (loss of load) and assist the operator in decision making during the identification and isolation of the affected areas. The proposed framework considers the potential presence of embedded distributed generation. With the help of both a tutorial system and a real-life case study, application examples are discussed to illustrate the potential of the proposed methodology.

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“…As shown in Figure 1 different applications of eHealth monitoring system have been presented in the literature with the aim of ensuring the knowledge of current health status and the accurate location among which we can cite: Real‐time Mountain Climber Monitoring in which it is strongly recommended to be located and monitored continuously, Secure Health Monitoring and tracking of soldiers during the operations under different geographical conditions (Kulkarni and Kulkarni, 2019); Real‐time health monitoring system of remote patient (Lin et al, 2006; Zheng et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Design of a secured telehealth system based on multiple biosignals diagnosis and classification for IoT application

et al. 2021

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The aim of this article is to design a new telehealth system with secured wireless transmission and classification of multiple biosignals using e‐Health sensors platform and Xbee modules with Arduino Uno and Raspberry Pi as acquisition and processing units, respectively. The collected data, such as temperature, airflow, position, Galvanic skin response and oxygen in the blood can be evaluated in order to monitor patient health state using threshold detection. The prediction of the cardiac state based on automatic identification of arrhythmias is validated by the classification of ElectroCardioGram (ECG) signals using Artificial Intelligence (AI) by exploiting TensorFlow and Keras tools. Different AI algorithms and a combination with different Machine Learning (ML) basing to transfer learning approach are tested. These algorithms include Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Support Vector Machine (SVM), K‐Nearest Neighbour (KNN) and Random Forest (RF). At first, ANN and CNN are used to classify ECG‐scalogram images using softmax, then the used CNN model (VGG16) is employed to extract features and pass them to other traditional classifiers (SVM, KNN and RF) allowing to evaluate and select the best classifier, such that the ECG signal can be classified into four categories namely Normal Sinus Rhythm (NSR), Atrial Fibrillation (AF), Congestive Heart Failure (CHF) and other cardiac arrhythmia (ARR). The proposed method has been evaluated using real recorded signals and four PhysioNet databases. A Graphical User Interface (GUI) has been designed with C# under Visual Studio IDE allowing to display the results using personal computer (PC) or a network linked phone, which makes it possible to transfer the diagnosis with the prediction results to a remote clinic control room as Internet of Things (IoT) system application. The best classification accuracy of 99.56% is attained, confirming that the designed system allows a good trade‐off between low cost and performances in addition, it is easy to use with quick access to multiple biosignals. It has improved vital characteristics monitoring and diagnosis services quality under a robust secured wireless transmission using lightweight chaos‐based algorithm, thus preventing loss of life during critical health situations.

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Secure Health Monitoring of Soldiers with Tracking System using IoT: A Survey

Cited by 11 publications

References 5 publications

Operationalising Sustainable Development Practice for Area-Based Sustainability Implementing Un-SDGS (2015-2030) at the Local District Area

Operationalising Sustainable Development Practice for Area-Based Sustainability Implementing Un-SDGS (2015-2030) at the Local District Area

Algebraic Framework for Outage Information Management in Distribution Networks

Design of a secured telehealth system based on multiple biosignals diagnosis and classification for IoT application

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