Implementation of a sensor node for monitoring physiological signals with Websocket communication and data visualization in a node.js server over the Internet

2020 ◽  
Author(s):  
Ricardo Yauri Rodriguez ◽  
Milton Rios Julcapoma
Keyword(s):  
Data Visualization ◽  
Sensor Node ◽  
Physiological Signals ◽  
The Internet

Design of Survey Analysis System Based on Data Visualization

2011 ◽  
Vol 403-408 ◽  
pp. 1491-1494
Author(s):  
Wei Yu
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Social Science ◽  
Data Visualization ◽  
The Internet ◽  
Survey Analysis ◽  
Science Study ◽  
Social Science Study ◽  
Analysis System ◽  
Three Phases

Questionnaire Survey is one of the most popular methods in Social Science study, the process of which consists of three phases: data collection, analysis and representation. At present, the practical operations of the three phases are still backward, and the methods used in data analysis and statistic are still simple. This paper designed a Survey Analysis System based on data visualization, which can not only realize survey on the internet, but also brought data visualization into the phases of data analysis and representation, so as to help users to obtain and operate data visually and handily.

scholarly journals Augmented Reality in the Integrative Internet of Things (AR-IoT): Application for Precision Farming

2019 ◽  
Vol 11 (9) ◽  
pp. 2658 ◽  
Author(s):  
Pilaiwan Phupattanasilp ◽  
Sheau-Ru Tong
Keyword(s):  
Augmented Reality ◽  
Internet Of Things ◽  
Data Visualization ◽  
Low Cost ◽  
Three Dimensional ◽  
Precision Farming ◽  
The Internet ◽  
Environmentally Sustainable ◽  
Crop Monitoring ◽  
Object Interaction

Benefitted by the Internet of Things (IoT), visualization capabilities facilitate the improvement of precision farming, especially in dynamic indoor planting. However, conventional IoT data visualization is usually carried out in offsite and textual environments, i.e., text and number, which do not promote a user’s sensorial perception and interaction. This paper introduces the use of augmented reality (AR) as a support to IoT data visualization, called AR-IoT. The AR-IoT system superimposes IoT data directly onto real-world objects and enhances object interaction. As a case study, this system is applied to crop monitoring. Multi-camera, a non-destructive and low-cost imaging platform of the IoT, is connected to the internet and integrated into the system to measure the three-dimensional (3D) coordinates of objects. The relationships among accuracy, object coordinates, augmented information (e.g., virtual objects), and object interaction are investigated. The proposed system shows a great potential to integrate IoT data with AR resolution, which will effectively contribute to updating precision agricultural techniques in an environmentally sustainable manner.

MEGAN: Multipurpose Energy-Efficient, Adaptable, and Low-Cost Wireless Sensor Node for the Internet of Things

2020 ◽  
Vol 14 (1) ◽  
pp. 144-151 ◽  
Author(s):  
Sudip Misra ◽  
Sanku Kumar Roy ◽  
Arijit Roy ◽  
Mohammad S. Obaidat ◽  
Avantika Jha
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Sensor Node ◽  
Low Cost ◽  
Wireless Sensor ◽  
The Internet ◽  
Wireless Sensor Node ◽  
The Internet Of Things

scholarly journals An Enhanced Approach for Using Data Visualization for Sentiment Analysis and Auto Summarization Data

2018 ◽  
Vol 12 (9) ◽  
pp. 190
Author(s):  
Osama Mohammad Rababah ◽  
Esra F. Alzaghoul ◽  
Hussam N. Fakhouri
Keyword(s):  
Sentiment Analysis ◽  
Data Visualization ◽  
Full Text ◽  
Visual Representation ◽  
The Other ◽  
The Internet ◽  
Original Text ◽  
Text Data ◽  
Data Summarization ◽  
Using Data

With the rapid increase in the size of the data over the internet there is a need for new studies for text data summarization and representation; rather than storing the full text or reading the full text we can store and read a summary that represent the original text. Furthermore, there is a need also to represent the summarized text with visual representation; one picture worth ten thousandwords. In this paper we propose an approach for visual representation of the summarized text;visual resources give creative control over how message is perceived andprovide a faster way to know what where the text about.This approach were implemented and tested on a sample of two datasets one of 50 texts and the other dataset of 80 positive and negative movie comments, the evaluation has been done visually and the percent of success cases has been reported, the precision and recall has been calculated.

A Study on Family Medical Sensor Networks and ECG and Temperature Monitoring Node Based on 6LoWPAN

2012 ◽  
Vol 472-475 ◽  
pp. 3445-3449
Author(s):  
Wei Fu ◽  
Meng Ling Shui ◽  
Ping Wang
Keyword(s):  
Sensor Networks ◽  
Sensor Node ◽  
Medical Service ◽  
Temperature Monitoring ◽  
Sensor Nodes ◽  
The Internet ◽  
Health Record ◽  
Biomedical Data ◽  
Medical Sensor Networks ◽  
The Web

By using advanced IPv6 technology, This paper presents a design of family wireless medical sensor networks(WMSN) and a implementation of ECG and temperature monitoring sensor node. The 6LoWPAN medical sensor nodes can add into the WMSN rapidly and the biomedical data are routed into the Internet through the gateway, therefore, it can get the information of health record on the web expediently and simply. In addition, this paper proposes a scheme of telemedicine for convenient and secure medical service.

scholarly journals Dual Security based on Crypto Steganography Using Two Level Learning In Assist with Dual Offbeat Shielding Design

2021 ◽  
pp. 541-548
Author(s):  
Siva Raja P M ◽  
Sumithra R P ◽  
Thanusha G
Keyword(s):  
Cloud Storage ◽  
Sensor Node ◽  
Storage System ◽  
Electronic Devices ◽  
The Internet ◽  
Primary Level ◽  
Wireless Medium ◽  
Past Experiences ◽  
Shielding Design ◽  
The Internet Of Things

A sensor node and other electronic devices attached to any IoT object can be involved in the communication over wireless network in IoT environments, which makes it necessary to preprocess a large amount of sensed data before storing it. Therefore, sensing data in the form of images is to be sent to the cloud storage system via wireless medium, but this suffers from image hijacking where data is manipulated, which leads to insecure transmission. To mitigate this problem, two levels of security are employed. Memory retaining is the primary level of enhancing learning which uses past experiences to extract optimal features from sensed images and then subjected to offbeat shielding activities, which include cryptographic steganography. The proposed system creates cloud storage that is protected by the optimal features learned from a neural network, thus ensuring that clouds are secure in the Internet of Things.

scholarly journals Energy Balancing of a Heuristic Algorithm for the Path Planning of Mobile Sensor Nodes

2016 ◽  
Vol 12 (05) ◽  
pp. 58
Author(s):  
X. Xu ◽  
B. Z. Liu
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Network Lifetime ◽  
Heuristic Algorithm ◽  
Sensor Node ◽  
Sensor Nodes ◽  
The Internet ◽  
Mobile Sensor ◽  
Mobile Sensor Nodes ◽  
The Internet Of Things

A wireless sensor network (WSN) is one of the core technologies of the Internet of things. It is an important means to realize a real-time geographic information system. Related research has shown that in the future, tens of billions of sensors and intelligent terminal equipment will be connected to WSNs based on the establishment of the function of the Internet of things. This study presents a heuristic algorithm to balance the energy consumption of each sensor node. It proposes a new real-time dynamic allocation algorithm for sensor tasks based on the concept of this heuristic algorithm and by considering that a multisensory system is composed of a phased-array radar. This allocation algorithm can dynamically assign tasks to the most suitable sensor before tasks fail to arrive, which ensures that the sensor can achieve a good load balance and extend network lifetime. A simulation experiment is conducted, and results validate the proposed algorithm. The energy consumption of mobile sensor nodes is effectively balanced. The path-planning algorithm standardizes the energy consumption of each mobile sensor node across the network , thereby effectively prolonging network lifetime.

scholarly journals A Fog Networks for Measuring the Physical Parameter of Greenhouse Plant

2018 ◽  
Vol 73 ◽  
pp. 13024 ◽  
Author(s):  
Suryono Suryono ◽  
Sunarno Sunarno ◽  
Ragil Saputra
Keyword(s):  
Light Intensity ◽  
Data Transmission ◽  
Sensor Node ◽  
Sensor Nodes ◽  
The Internet ◽  
Physical Parameters ◽  
Broadband Internet ◽  
Cloud Networks ◽  
Fog Network ◽  
Internet Network

Greenhouse is a very effective method of matching and has been able to contribute to food independence in various countries. Plants that are in the greenhouse must be maintained with chemical-physical parameters in order to grow optimally. Monitoring of plants in greenhouses must always be done. Some monitoring reports have been made online so that they can provide solutions as quickly as possible if there is a disturbance on the plants. Unfortunately, online monitoring is still dependent on internet networks that require network infrastructure needs that have many limitations. As a result, many agricultural lands are not covered by the internet network to monitor the greenhouse. The use of a large number of sensor nodes also affects the decline in available broadband internet performance so as to reduce monitoring performance. In this research proposed a fog network that connects the sensor node with the local fog server via a WIFI network. Sensor node has been built with a system on chips WIFI-Microcontroller ESP8266 to perform data acquisition and temperature sensor data transmission, relative humidity and light intensity using the WIFI network to the fog server. In this study testing the accuracy of sensor parameters used and network performance by comparing with the use of cloud networks. From the tests performed, the results of Mean Absolute Percent Error (MAPE) were obtained for each parameter, temperature = 1.3%, humidity: 1.9% and light intensity: 0.6%. The use of the fog network has proven to not contribute significantly to the error value of measurement data sent to the server. The use of WIFI on the fog network requires less network broadband needs when compared to cloud networks. This difference is very significant, which is an average of 253 BPS if using a fog network and 1276 BPS if using a cloud network. From the experiments conducted, the use of networks for proven to have a high data transmission speed with value 471 ms when compared to the internet network with value 1349 ms. Variations in the number of sensor nodes up to 5 nodes do not significantly affect that speed.

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