Pub Date : 2021-02-11DOI: 10.1109/ICITIIT51526.2021.9399593
F. I. Adiba, Sharmin Nahar Sharwardy, Mohammad Zahidur Rahman
The pediatric cardiac intensive care unit (ICU) is a specialized section for children with heart diseases. The patients admitted to the ICU are in a very critical condition. The data for each day were collected hourly basis. So, the time-series prediction might be beneficial for the physicians for the medication process of the patients whose lives are in danger. This paper proposes a multivariate time series prediction where multiple features with respect to timestamps are to be predicted using the deep learning methods in order to assist doctors in decision making in the tensed moment. Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) these methods are applied for the time series prediction. The comparative analysis among the RNN and LSTM prediction model is also highlighted in this paper. Doctors' advice is also taken to justify the result.
{"title":"Multivariate Time Series Prediction of Pediatric ICU data using Deep Learning","authors":"F. I. Adiba, Sharmin Nahar Sharwardy, Mohammad Zahidur Rahman","doi":"10.1109/ICITIIT51526.2021.9399593","DOIUrl":"https://doi.org/10.1109/ICITIIT51526.2021.9399593","url":null,"abstract":"The pediatric cardiac intensive care unit (ICU) is a specialized section for children with heart diseases. The patients admitted to the ICU are in a very critical condition. The data for each day were collected hourly basis. So, the time-series prediction might be beneficial for the physicians for the medication process of the patients whose lives are in danger. This paper proposes a multivariate time series prediction where multiple features with respect to timestamps are to be predicted using the deep learning methods in order to assist doctors in decision making in the tensed moment. Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) these methods are applied for the time series prediction. The comparative analysis among the RNN and LSTM prediction model is also highlighted in this paper. Doctors' advice is also taken to justify the result.","PeriodicalId":161452,"journal":{"name":"2021 International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131048007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-11DOI: 10.1109/ICITIIT51526.2021.9399609
Debajyoti Biswas, S. Barai, B. Sau
In the last few years, WiFi becomes popular in wireless technologies, and nowadays, WiFi is one of the most exciting and demanding technique for research work. Generally, WiFi technology formed a one-hop network with many nodes. Due to several areas of applications of WiFi in the internet of things, this work improved a one-hop WiFi network to a multi-hop network using wemos Dl R2 ESP8266 by changing its mechanism. To construct a multi-hop WiFi network has focused on each node's hardware. The node's hardware contained one access point (AP), one station (STA), one controller, various sensors, and a relay board. The motive of this work is the construction of an offline WiFi network by multi-hop nodes. So that relays controlling, and sensors monitoring of every node can be done, using a mobile application (APP), by connecting to any single node. Experimental purpose, the same two WiFi modules have used for AP and STA mode. Such that the framework of one-hop AP mode can change to a combined AP+STA mode.
{"title":"A WiFi-based Self-Organizing Multi-Hop Sensor Network for Internet of Things","authors":"Debajyoti Biswas, S. Barai, B. Sau","doi":"10.1109/ICITIIT51526.2021.9399609","DOIUrl":"https://doi.org/10.1109/ICITIIT51526.2021.9399609","url":null,"abstract":"In the last few years, WiFi becomes popular in wireless technologies, and nowadays, WiFi is one of the most exciting and demanding technique for research work. Generally, WiFi technology formed a one-hop network with many nodes. Due to several areas of applications of WiFi in the internet of things, this work improved a one-hop WiFi network to a multi-hop network using wemos Dl R2 ESP8266 by changing its mechanism. To construct a multi-hop WiFi network has focused on each node's hardware. The node's hardware contained one access point (AP), one station (STA), one controller, various sensors, and a relay board. The motive of this work is the construction of an offline WiFi network by multi-hop nodes. So that relays controlling, and sensors monitoring of every node can be done, using a mobile application (APP), by connecting to any single node. Experimental purpose, the same two WiFi modules have used for AP and STA mode. Such that the framework of one-hop AP mode can change to a combined AP+STA mode.","PeriodicalId":161452,"journal":{"name":"2021 International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128539141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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