scholarly journals Tempat Sampah Pintar Dengan Logika Fuzzy Berbasis NodeMCU

2020 ◽  
Vol 9 (1) ◽  
pp. 11-21
Author(s):  
Mhd Furqan ◽  
Rakhmat Kurniawan ◽  
Indri Gusmita Br Rambe
Keyword(s):  
Fuzzy Logic ◽  
Data Processing ◽  
Web Application ◽  
Sensor System ◽  
Volume Status ◽  
Ultrasonic Sensors ◽  
Data Processing Center ◽  
Precision Rate

This research aimed to design a smart dustbin. The smart dustbin was made by using ultrasonic sensors to detect the object and the volume of trash height. NodeMCU was used as data processing center, and LCD used as information output. The dustbin also using fuzzy logic to produce the volume status output of the trash height. It’s starting from empty to fully loaded. The janitor also can do re-check of the dustbin’s volume efficiently and effective through web application. Based on the testing result, the conclusion of the research is the sensor system has accuracy of precision rate of 93,4.

scholarly journals Design of Smart Trash Can Using Fuzzy Logic Algorithm Based on Arduino

2019 ◽  
Vol 3 (1) ◽  
pp. 150
Author(s):  
Fadhillah Azmi ◽  
William William ◽  
Kevin Kristanto Salim ◽  
Tommy Tiara Hartanto ◽  
Felix Tham
Keyword(s):  
Fuzzy Logic ◽  
Data Processing ◽  
Public Awareness ◽  
Ultrasonic Sensors ◽  
Proximity Sensor ◽  
Human Presence ◽  
Fuzzy Logic Algorithm ◽  
Infra Red ◽  
Data Processing Center

<span>Smart trash cans use a proximity sensor (ultrasonic) to detect the height of the trash, the PIR (Passive Infra Red) sensor to detect human presence and Arduino as the data processing center. This trash can also has an LED that functions as an indicator and the buzzer functions as an alarm when the trash can is full. If the garbage reaches half of the trash, the LED will turn yellow, if the garbage reaches a height of 4cm from the trash lid, then the LED will turn red and so the trash can will be locked even though the PIR sensor detects humans. Buzzer will live to attract the attention of cleaning officers to dispose of trash. To dispose of garbage, the clerk needs to shift the open and close trash button so that the lid will open. The author hopes that this smart trash can can increase public awareness to dispose of garbage in its place. The results of study show that PIR sensors work by well in detecting the presence of humans and ultrasonic sensors in detecting the height of garbage are not accurate, so that if the trash if the trash can is empty, sometimes the garbage is minus, whereasif the garbage is &lt; 3.5 cm, the sensor fails detect it.</span>

scholarly journals A R-SHINY BASED PHENOLOGY ANALYSIS SYSTEM AND CASE STUDY USING DIGITAL CAMERA DATASET

2018 ◽  
Vol XLII-3 ◽  
pp. 2571-2574
Author(s):  
Y. K. Zhou
Keyword(s):  
Data Processing ◽  
Web Application ◽  
Vegetation Index ◽  
Digital Camera ◽  
Parameter Extraction ◽  
Growth Trajectory ◽  
Phenological Data ◽  
Combination Methods ◽  
Parameters Extraction ◽  
R Shiny

Accurate extracting of the vegetation phenology information play an important role in exploring the effects of climate changes on vegetation. Repeated photos from digital camera is a useful and huge data source in phonological analysis. Data processing and mining on phenological data is still a big challenge. There is no single tool or a universal solution for big data processing and visualization in the field of phenology extraction. In this paper, we proposed a R-shiny based web application for vegetation phenological parameters extraction and analysis. Its main functions include phenological site distribution visualization, ROI (Region of Interest) selection, vegetation index calculation and visualization, data filtering, growth trajectory fitting, phenology parameters extraction, etc. the long-term observation photography data from Freemanwood site in 2013 is processed by this system as an example. The results show that: (1) this system is capable of analyzing large data using a distributed framework; (2) The combination of multiple parameter extraction and growth curve fitting methods could effectively extract the key phenology parameters. Moreover, there are discrepancies between different combination methods in unique study areas. Vegetation with single-growth peak is suitable for using the double logistic module to fit the growth trajectory, while vegetation with multi-growth peaks should better use spline method.

scholarly journals SHAMAN: a user-friendly website for metataxonomic analysis from raw reads to statistical analysis

2020 ◽  
Author(s):  
Stevenn Volant ◽  
Pierre Lechat ◽  
Perrine Woringer ◽  
Laurence Motreff ◽  
Christophe Malabat ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Data Processing ◽  
Web Application ◽  
Graphical Representation ◽  
Statistical Modelling ◽  
Metagenomic Data ◽  
Sequencing Data ◽  
Microbiome Research ◽  
Interactive Visualizations ◽  
User Friendly

Abstract BackgroundComparing the composition of microbial communities among groups of interest (e.g., patients vs healthy individuals) is a central aspect in microbiome research. It typically involves sequencing, data processing, statistical analysis and graphical representation of the detected signatures. Such an analysis is normally obtained by using a set of different applications that require specific expertise for installation, data processing and in some case, programming skills. ResultsHere, we present SHAMAN, an interactive web application we developed in order to facilitate the use of (i) a bioinformatic workflow for metataxonomic analysis, (ii) a reliable statistical modelling and (iii) to provide among the largest panels of interactive visualizations as compared to the other options that are currently available. SHAMAN is specifically designed for non-expert users who may benefit from using an integrated version of the different analytic steps underlying a proper metagenomic analysis. The application is freely accessible at http://shaman.pasteur.fr/, and may also work as a standalone application with a Docker container (aghozlane/shaman), conda and R. The source code is written in R and is available at https://github.com/aghozlane/shaman. Using two datasets (a mock community sequencing and published 16S rRNA metagenomic data), we illustrate the strengths of SHAMAN in quickly performing a complete metataxonomic analysis. ConclusionsWe aim with SHAMAN to provide the scientific community with a platform that simplifies reproducible quantitative analysis of metagenomic data.

scholarly journals DATA PROCESSING CENTER AS THE BASIS OF INFORMATION SECURITY OF THE DEFENSE MINISTRY OF UKRAINE

2019 ◽  
Vol 5 (57) ◽  
pp. 84-87
Author(s):  
S. Suhak ◽  
L. Shabanova-Kushnarenko ◽  
M. Siruk ◽  
N. Bihun ◽  
A. Mishchenko
Keyword(s):  
Data Processing ◽  
Data Center ◽  
Political System ◽  
Armed Forces ◽  
Information Infrastructure ◽  
System Stability ◽  
The Political ◽  
Political Processes ◽  
Data Processing Center ◽  
The Creation

Nowadays, the development of information technologies determines the successful functioning of the political system, since they allow to control political processes, prevent social and political conflicts. Increasing the level of reliability of the information, the most effective use of information resources, external and internal information ropes increase the stability of the political system, stability of the socio-political development of the country. The combination of different telecommunication technologies that create the preconditions for building flexible and high-performance service-oriented systems can be used to solve problems in different industries. However, nowadays, one of the constraints on the implementation and further development of such networks is the theoretical under-development of service delivery models, due to the lack of comprehensive information on the structure of data center networks. During the research conducted by the authors, it was found that the data processing center is the basis for informing the defense ministry of Ukraine. During the research, the authors used general scientific methods of analysis and synthesis, as well as the basic provisions of the theory of informatics, the theory of complex technical systems, the theory of information, etc. During the research, the authors substantiated the main tasks that will be performed by the data processing center of the defense ministry of Ukraine, identified the main information and calculation tasks that will be performed by them. The authors also substantiated the requirements for building a data center of the Defense Ministry of Ukraine. The authors evaluated modern technological solutions and software and hardware for the creation of the information infrastructure of the defense ministry of Ukraine. Possible technical and software for building a reliable and secure data processing center of the defense ministry of Ukraine are proposed. Therefore, the prospective direction of further scientific research of the authors should be considered the justification of ways of improvement of informatization of the armed forces of Ukraine and the creation of information infrastructure of the defense ministry of Ukraine are mobile data centers. This will allow the deployment of information infrastructure in various conditions, including in the open space, which is very relevant for the specifics of actions in the east of Ukraine.

scholarly journals AUTOMATED INFORMA¬TION SYSTEM FOR GPS MONITORING DATA PROCESSING

2021 ◽  
Vol 2 (37) ◽  
pp. 88-92
Author(s):  
K. Yalova ◽  
K. Yashyna ◽  
O. Tarasiyk
Keyword(s):  
User Interface ◽  
Data Processing ◽  
System Architecture ◽  
Web Application ◽  
Gps Tracking ◽  
System Software ◽  
Web Interfaces ◽  
Application Service ◽  
Functional Features ◽  
Tion System

Using of automated information systems in the field of geolocation data processing increases the control and management efficiency of freight and passenger traffic. The article presents the results of design and software implementation of the automated information system that allows monitoring of GPS tracking data in real time, build routes and set control points for it, generate system messages about the status of vehicles on the route and generate reporting information on the base of user requests. The design of the system architecture and interface was carried out on the basis of developed object and functional data domain models, which take into account its structural and functional features. The microservice approach principles were applied during the developing of the system architecture. The system software is a set of independent services that work in their own process, implement a certain business logic algorithm and communicate with other services through the HTTP protocol. The set of the system software services consists of: a service for working with GPS data, a service for implementing geolocation data processing functions, and a web application service. The main algorithms of the developed system services and their functional features are described in the work. Article’s figures graphically describe developed system site map and system typical Web forms. This data displays the composition of web pages, paths between them and shows the user interface. The design of the user interface was carried out taking into account quality requirements of user graphical web interfaces.

scholarly journals Android-based Prototype of Automated Cloth Hanger Using Arduino

2019 ◽  
Vol 1 (2) ◽  
pp. 51-58
Author(s):  
Sanji Muhammad Sidik ◽  
Hermawaty Hermawaty
Keyword(s):  
Data Processing ◽  
Dc Motor ◽  
Prototype Model ◽  
Test Results ◽  
Important Work ◽  
Water Sensor ◽  
Data Processing Center ◽  
Arduino Uno ◽  
Weather Changes

Clothesline that is used in the community is still in the form of a manual so that the community must raise it directly. People who have more interests or who work may not have to raise clothes directly so they have to leave their more important work. When traveling or there are other jobs the community is still confused how to pick up clothesline with changing weather. From these problems, a prototype model of automatic clothesline was built using Android-based Arduino, this is to simplify and shorten the time in lifting clothesline or drying clothes when our weather changes. Having designed an automatic clothesline using Android-based Arduino. In this study, the Arduino UNO microcontroller functions as a data processing center obtained from the LDR sensor to detect light, uses a water sensor to detect rainwater and uses a DC motor to move the clothesline out / in, and uses the Bluetooth HC-05 module to move the clothesline with Android. The test results show that this tool works well, when the device is turned on the sensor will check the weather outside whether the weather is sunny or rainy. When the weather is sunny or hot outside, the clothesline will automatically come out and if the weather outside is raining, the clothesline will automatically go inside. When the sensor does not function or has trouble the automatic clothesline can be controlled via a smartphone that is connected to the Bluetooth HC-05 module.

scholarly journals IoT Based Displacement Detection Using Wireless Sensor System

2019 ◽  
Vol 87 ◽  
pp. 01016
Author(s):  
Bajarangbali ◽  
Vinay Kumar Jadhav ◽  
Nagarur Druvitha ◽  
Pavan Kumar S
Keyword(s):  
Reference Values ◽  
Reference Point ◽  
Truck Driver ◽  
Sensor System ◽  
Wireless Sensor ◽  
Ultrasonic Sensors ◽  
Iot Applications ◽  
Base Position ◽  
E Mail

The main objective of this work is to monitor the base position of evenly or unevenly distributed containers by analyzing and establishing a reference point for the object. The displacement of the container is measured with the help of ultrasonic sensors each connected to nodemcu. Using nodemcu, sensor values are sent wirelessly to microcontroller that is specifically designed for IoT applications. Microcontroller will then compare the received sensor values with reference values. If there is any displacement of the container, warning is given to truck driver by buzzer and SMS, E-mail is sent to intended recipient.

Design and Implementation of an Intelligent Cleaning Robot Based on Fuzzy Control

2014 ◽  
Vol 1003 ◽  
pp. 221-225
Author(s):  
Hai Yan Liu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Control Method ◽  
Sensor System ◽  
Service Robots ◽  
Design And Implementation ◽  
Cleaning Robot ◽  
New Development ◽  
Development Area

Nowadays, intelligent cleaning robot is widely used in housecleaning, hotel and office for cleaning in a half--automatic way or full--automatic way. In recent years, the development of cleaning robot has brought increasing attention in overseas and domestic, and it has become a new development area in the field of service robots. This paper designs an intelligent cleaning robot, which could realize move freely under the control of obstacle avoidance strategies based on the fuzzy logic. According to the information of obstacles from the sensor system, the obstacle avoidance system is built by the fuzzy control method to make the cleaning robot avoid the obstacles autonomously.

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