scholarly journals Komunikasi Data Berbasis Protokol UDP pada Sistem Ubiquitous Mobile Sensing Kualitas Sumber Air

2016 ◽  
Vol 10 (2) ◽  
pp. 219
Author(s):  
Yuning Widiarti Darsono ◽  
Adianto Adianto ◽  
Mirna Apriani
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Mobile Phones ◽  
Data Communication ◽  
Mobile Sensing ◽  
Time Data ◽  
Climate Change And Variability ◽  
Rapid Spread ◽  
Types Of Information ◽  
Water Quality Sensors

The need for monitoring, effective and efficient control and evaluation of water quality in regional waters Surabaya become a demand for population growth, climate change and variability in the current era of urbanization. The traditional method is done by collecting water samples, test and analyze water in the laboratory has been relatively expensive and do not have the ability to capture real-time data, analysis and information delivery fast in making decisions. On the other hand, the rapid spread in the use of mobile phones in developing countries has increased mobile data management applications. A variety of mobile applications has also increased in recent years. This is because mobile phones cheap, easy to use and can transmit multiple types of information including images and GPS data remotely. In this paper, the author describes a data communication system of  water quality resources based on UDP protocol. This system is called ubiquitous mobile sensing consisting of microcontroller Arduino, water quality sensors, and Android smartphones. It has the ability to detect temperature, dissolved oxygen (DO), pH and electrical conductivity (EC) in real time. By using this monitoring system, the data result is expected more accurate, faster and cheaper.

Remote Monitoring System of the Rivers and Lakes' Water Quality Based on GPRS and 3G Technology

2014 ◽  
Vol 898 ◽  
pp. 618-623
Author(s):  
Meng Xia An ◽  
Ji Ping Xu ◽  
Xiao Yi Wang ◽  
Jia Bin Yu ◽  
Hui Yan Zhang ◽  
...  
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Data Communication ◽  
Water Quality Monitoring ◽  
Management Decision ◽  
Remote Monitoring System ◽  
Rivers And Lakes ◽  
Low Efficiency

In view of the methods on remote monitoring of the rivers and lakes water quality are relatively single and low efficiency in supervision at present, this page puts forward a kind of design method of the internet of things system about remote monitoring system based on GPRS/3G technology. The system can realize multi-point data integration, processing, integration and real-time results releasing, with GPRS/3G remote data communication technology as the core, and send the information accesses to the buoys placed on the waters surface, mobile intelligent instruments, and the water quality monitoring ark placed on the water bank via GPRS/3G module to the superior intelligence analysis system, which realizes the real-time display in the GIS map, water quality evaluation, bloom forecast, decision-making, etc. Practice has proved that this system is stable and reliable, and provided the effective monitoring of the rivers and lakes water quality and management decision of algae blooms emergency for the environmental protection department.

scholarly journals System-Aware Smart Network Management for Nano-Enriched Water Quality Monitoring

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
B. Mokhtar ◽  
M. Azab ◽  
N. Shehata ◽  
M. Rizk
Keyword(s):  
Water Quality ◽  
Network Management ◽  
Real Time ◽  
Learning Algorithm ◽  
Rule Learning ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
System Control ◽  
Test Bed ◽  
Time Data

This paper presents a comprehensive water quality monitoring system that employs a smart network management, nano-enriched sensing framework, and intelligent and efficient data analysis and forwarding protocols for smart and system-aware decision making. The presented system comprises two main subsystems, a data sensing and forwarding subsystem (DSFS), and Operation Management Subsystem (OMS). The OMS operates based on real-time learned patterns and rules of system operations projected from the DSFS to manage the entire network of sensors. The main tasks of OMS are to enable real-time data visualization, managed system control, and secure system operation. The DSFS employs a Hybrid Intelligence (HI) scheme which is proposed through integrating an association rule learning algorithm withfuzzylogic and weighted decision trees. The DSFS operation is based on profiling and registering raw data readings, generated from a set of optical nanosensors, as profiles of attribute-value pairs. As a case study, we evaluate our implemented test bed via simulation scenarios in a water quality monitoring framework. The monitoring processes are simulated based on measuring the percentage of dissolved oxygen and potential hydrogen (PH) in fresh water. Simulation results show the efficiency of the proposed HI-based methodology at learning different water quality classes.

New Real-Time Data Communication System Enhances Coiled-Tubing Operations

2010 ◽  
Author(s):  
Michael John Taggart ◽  
Niall Atholl Murray ◽  
Trevor Sturgeon ◽  
William McNeil
Keyword(s):  
Real Time ◽  
Communication System ◽  
Data Communication ◽  
Time Data ◽  
Coiled Tubing ◽  
Real Time Data

scholarly journals Research on CarMaker and Cloud Computing Platform Co-Simulation Based on APO

2021 ◽  
Vol 2065 (1) ◽  
pp. 012020
Author(s):  
Nver Ren ◽  
Rong Jiang ◽  
Dongze Zhang
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Data Communication ◽  
Autonomous Driving ◽  
Data Sampling ◽  
Cloud Platform ◽  
Time Data ◽  
Automated Driving ◽  
Computing Platform ◽  
Cloud Computing Platform

Abstract An cloud computing platform based on B/S architecture and docker container technology for autonomous driving simulation has been established in this paper. The map editor module of the cloud platform lets users design 3D scenes for simulating and testing automated driving systems. When the customized roadway scene for simulation created, it would be saved as OpenDrive format both for the server of cloud platform and CarMaker’s TestRun which all parameters of the virtual environment (vehicle, road, tires, etc.) are sufficiently defined. Then, based on the application online (APO) communication protocol of CarMaker, the local APO agent service was created. When the 27 parameters of vehicle dynamics received from CarMaker server, they were sent to the cloud platform in real time through UPD protocol. The process of data communication is completed by APO agent. Through the work above, a co-simulation between cloud platform and CarMaker could be successfully established for autonomous driving with seventeen-degree-of-freedom. Through the co-simulation experiment, it is found that the real-time data sampling frequency of the co-simulation is 70Hz, which completes the synchronous simulation of carmaker and cloud platform.

scholarly journals Implementation of Mobile Phone Data Collection in the Conduct EPI Comprehensive Review in East and Southern African Countries

2021 ◽  
Vol Special Issue (2) ◽  
pp. 55-62
Author(s):  
Isah Mohammed Bello ◽  
Abubakar Sadiq Umar ◽  
Godwin Ubong Akpan ◽  
Joseph Okeibunor ◽  
Chukwudi Shibeshi ◽  
...  
Keyword(s):  
Data Collection ◽  
Mobile Phone ◽  
Real Time ◽  
Mobile Phones ◽  
Health Sector ◽  
Mobile Phone Data ◽  
Data Detection ◽  
Time Data ◽  
African Countries ◽  
Comprehensive Review

Mobile phone data collection tools are increasingly becoming very usable collecting, collating and analysing data in the health sector. In this paper, we documented the experiences with mobile phone data collection, collation and analysis in 5 countries of the East and Southern African, using Open Data Kit (ODK), where questionnaires were designed and coded on an XML form, uploaded and data collected using Android-Based mobile phones, with a web-based system to monitor data in real-time during EPI comprehensive review. The ODK interface supports in real-time monitoring of the flow of data, detection of missing or incomplete data, coordinate location of all locations visited, embedded charts for basic analysis. It also minimized data quality errors at entry level with the use of validation codes and constraint developed into the checklist. These benefits, combined with the improvement that mobile phones offer over paper-based in terms of timeliness, data loss, collation, and real-time data collection, analysis and uploading difficulties, make mobile phone data collection a feasible method of data collection that needs to be further explored in the conduct of all surveys in the organization.

scholarly journals Design of smart agriculture based on big data and Internet of things

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772091706 ◽  
Author(s):  
Chunling Li ◽  
Ben Niu
Keyword(s):  
Data Mining ◽  
Information Processing ◽  
Internet Of Things ◽  
Real Time ◽  
Data Communication ◽  
Large Data ◽  
Time Data ◽  
Real Time Data ◽  
Smart Agriculture ◽  
Internet Of Things Technology

With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. The experimental results show that the improved K-means clustering method has an average reduction of 0.23 s in total time and an average increase of 7.67% in the F metric value. The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.

Real-Time Communication Method over Switched Ethernet

2013 ◽  
Vol 411-414 ◽  
pp. 840-843
Author(s):  
A Li Mu Jiang Yiming ◽  
Re Zi Wan Maimaiti ◽  
Aisikaer Kadier
Keyword(s):  
Real Time ◽  
Data Communication ◽  
Network Protocol ◽  
Control Network ◽  
Time Data ◽  
Industrial Control ◽  
Switched Ethernet ◽  
Communication Method ◽  
Real Time Data ◽  
Real Time Applications

This paper presents a method to support real-time data communication over switched Ethernet. The work without modifications in the Ethernet hardware and coexists with TCP/IP suites. Experiment results shows that compared with conventional real-time network protocol, the proposed work has better real-time performances and meets the requirements for industrial control network real-time applications.

Mobile Application for Patients' Waiting Time Control and Management of Diagnostic Imaging Examinations

2020 ◽  
pp. 1522-1536
Author(s):  
Dimitrios Zarakovitis ◽  
Dimitrios Tsoromokos ◽  
Nikolaos Tsaloukidis ◽  
Athina A. Lazakidou
Keyword(s):  
Diagnostic Imaging ◽  
Real Time ◽  
Mobile Phones ◽  
Waiting Time ◽  
Personal Information ◽  
Time Data ◽  
Digital Maps ◽  
Gis Applications ◽  
Time Control ◽  
Control And Management

Geographic information systems (GIS) are useful informative systems for reducing the waiting time of diagnostic imaging examinations. ArcGIS software is used to develop a digital questionnaire which is used as a data collection tool. The information concerns the patients' personal information, type of examination required and medical history. Data is collected in real time and through GPS capabilities, the patients' exact coordinates are determined. GIS applications are used to create digital maps which display the average waiting time for performing imaging tests. Questionnaire data and interactive maps are uploaded to a digital platform. Through this application, it is possible to locate patients who actually need diagnostic imaging examinations in real time. Observing the location of patients on digital maps makes it easier to redirect them to the nearest health care units with the shortest waiting time. Data can also be acquired by mobile phones.

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