scholarly journals Perancangan Sistem Telemetri Deteksi Bencana Banjir Berbasis Web Server Dan Sms Gateway

2020 ◽  
Vol 10 (1) ◽  
pp. 33-40
Author(s):  
Faisal Hadi ◽  
Reza Satria Rinaldi ◽  
Rahmat Supartian
Keyword(s):  
Control System ◽  
Ultrasonic Sensor ◽  
Network Technology ◽  
Test Results ◽  
Delivery Delay ◽  
Detection Tool ◽  
Flood Detection ◽  
Delivery Accuracy ◽  
The Impact ◽  
The Web

AbstractIndonesia is one of the areas prone to disasters, especially floods. The impact of flooding can be reduced if the community is better prepared to face the coming flood. Therefore we need an early flood detection tool that can give a signal to the community through early warning so that the community can be more alert in facing flood disastersThe results of this design make two systems, the main control system and the receiving system. The main control system consists of an ultrasonic sensor, SIM800L module and NodeMCU Wi-Fi module. The receiving system consists of a SIM800L module and a siren. The results showed that the ultrasonic sensor used has a good level of accuracy with an error value <1%. The results of SMS testing have a delay until the SMS to the recipient is around 5-10 seconds. The test results also show that 4G network technology has 100% delivery accuracy and 3-4 seconds delivery delay per data. The final result shows thatthe system is able to work as desired and is able to be well connected to the web server.Keyword:Flood Disasters, SIM800L, Ultrasonic sensor, Web Servers, SMS

scholarly journals Utilization of the IoT-based early warning system (EWS) for early detection of floods in Setu District, South Tangerang City

2021 ◽  
Vol 6 (8) ◽  
pp. 1414-1419
Author(s):  
Wahyu Sejati ◽  
Ning Adiasih ◽  
Tjhwa Endang Djuana
Keyword(s):  
Early Detection ◽  
Water Level ◽  
Community Service ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Ultrasonic Sensor ◽  
Detection Tool ◽  
Flood Detection

Cisadane River is the largest river whose overflow often causes flooding in several locations in South Tangerang City. One of them is located in Pesona Serpong Housing, Setu District, South Tangerang City. The Cisadane Environmental Echo Community (GEMALA) is a community that cares about the sustainability of the Cisadane River. This community service aims to improve understanding of river maintenance and socialize the IoT-based Early Warning System (EWS) tool to the GEMALA community as an early flood detection tool. The method used is to use an ultrasonic sensor HC-SR04 which will measure the water level of the river and will send a signal via the Telegram messaging application. At the end of this activity, an IoT-based Early Warning System (EWS) tool was produced that could be utilized by the GEMALA community as an early flood detection tool.

scholarly journals PENGEMBANGAN SISTEM PENDETEKSI BANJIR MENGGUNAKAN FUZZY DENGAN RASPBERRY PI (STUDI KASUS: KABUPATEN SAMPANG)

2019 ◽  
Vol 4 (2) ◽  
pp. 89-96
Author(s):  
Dwi Puspitasari ◽  
Muhammad Thaifururrahman ◽  
Rudy Ariyanto
Keyword(s):  
Water Level ◽  
Detection System ◽  
Ultrasonic Waves ◽  
Ultrasonic Sensor ◽  
Raspberry Pi ◽  
Test Results ◽  
Produce Water ◽  
Flood Detection ◽  
Level Meter ◽  
Height Data

Flooding is a natural disaster that is troubling for the community. Floods occur due to overflowing water from rivers, lakes, or gutters. The flood also caused material losses and even caused casualties. Sampang Regency is one of the districts located on Madura Island which is often flooded.The Raspberry Pi is a mini computer that is capable of performing the same tasks as a computer. The use of the Raspberry Pi as a server is more efficient than using a PC server which in terms of price is very expensive. The Raspberry Pi can also be combined with various sensors because it has 40 pins as a connector. The Parallax Ping sensor is an ultrasonic sensor that can detect the distance of an object by emitting ultrasonic waves with a frequency of 40 KHz and then detecting the reflection. By using an ultrasonic sensor as a water level counter, the height value of the river will be obtained. From this height value, it is then processed using the fuzzy mamdani method to produce a river water level status. This elevation status will then be informed to the public.Based on the test results, this flood detection system uses an ultrasonic sensor as a water level meter that is controlled by the Raspberry Pi. Data from ultrasonic sensors then calculated by fuzzy mamdani method can produce water level status. The water level status is obtained from the height data of the water surface calculated by using an ultrasonic sensor. The water level status is then sent to a cellphone number using a wavecom modem.

scholarly journals Ultrasonic Signal Implementation in Arduino-Based Obstacle Robot Control System

2021 ◽  
Vol 328 ◽  
pp. 02008
Author(s):  
Hanifudin Sukri ◽  
Deni Tri Laksono ◽  
Dedi Tri Laksono ◽  
Miftachul Ulum
Keyword(s):  
Control System ◽  
Data Analysis ◽  
Robot Control ◽  
Ultrasonic Signal ◽  
Ultrasonic Sensor ◽  
Average Error ◽  
Test Results ◽  
Ultrasonic Signals ◽  
Distance Calculation ◽  
Accuracy Level

The results of the distance calculation used to control the movement of the robot, hanse the robot is able to avoid unknown obstacles. This obstacle robot divided into 3 parts, namely Arduino Uno as a controller, L298N driver as a motor/wheel controller and ultrasonic sensor HC-SR04 as a sending and receiving device for ultrasonic signals. The ultrasonic sensor design on the obstacle robot placed at the front of the robot with the obstacle position in front. From the data analysis, the obstacle robot can determine the accuracy level of the detected distance and can stop according to the detected obstacle distance. The test results show that the obstacle robot is less accurate in detecting the obstacles in front of it, as evidenced by the test results that there is an average error of 0.118. The obstacle robot made using an ultrasonic sensor, so it is less accurate in reading the presence of a obstacle in front of it. In the test results, the biggest error is when the robot is at a distance of 30 cm, where the robot stops at a distance of 24 cm so that there is an error of 6 cm that missed.

Model estimates of the results of diabetes patients using modern glucometers with tri-color technology for displaying test results

2019 ◽  
pp. 81-89
Author(s):  
Larisa Dmitrievna Popovich ◽  
Svetlana Valentinovna Svetlichnaya ◽  
Aleksandr Alekseevich Moiseev
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Economic Benefits ◽  
Test Results ◽  
Self Monitoring ◽  
Patients With Diabetes ◽  
The Impact

Diabetes – a disease in which the effect of the treatment substantially depends on the patient. Known a study showed that the use of glucometers with the technology of three-color display of test results facilitates self-monitoring of blood sugar and leads to a decrease in glycated hemoglobin (HbAlc). Purpose of the study: to modeling the impact of using of a glucometer with a color-coded display on the clinical outcomes of diabetes mellitus and calculating, the potential economic benefits of reducing the hospitalization rate of patients with diabetes. Material and methods. Based on data from two studies (O. Schnell et al. and M. Baxter et al.) simulation of the reduction in the number of complications with the use of a glucometer with a color indication. In a study by O. Schnell et al. a decrease of HbA1c by 0.69 percent is shown when using the considered type of glucometers, which was the basis of the model. Results. In the model, the use of a glucometer with a color-coded display for type 1 diabetes led to a decrease in the total number of complications by 9.2 thousand over 5 years per a cohort of 40 thousand patients with different initial levels of HbA1c. In a cohort of 40 thousand patients with type 2 diabetes, the simulated number of prevented complications was 1.7 thousand over 5 years. When extrapolating these data to all patients with diabetes included in the federal register of diabetes mellitus (FRD), the number of prevented complications was 55.4 thousand cases for type 1 diabetes and 67.1 thousand cases for type 2 diabetes. The possible economic effect from the use of the device by all patients with a diagnosis of diabetes, which are included in the FRD, estimated at 1.5 billion rubles for a cohort of patients with type 1 diabetes and 5.3 billion rubles for patients with type 2 diabetes. Conclusion. Improving the effectiveness of self-monitoring, which is the result of the use of glucometers with color indicators, can potentially significantly reduce the incidence of complications in diabetes and thereby provide significant economic benefits to society.

Ultrasonic sensor system for the uses in intelligent motion control system of a mobile robots group

2010 ◽  
Vol 7 ◽  
pp. 109-117
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov ◽  
B.S. Yudintsev
Keyword(s):  
Control System ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Motion Control ◽  
High Speed ◽  
Ultrasonic Sensor ◽  
Sensor System ◽  
Motion Control System ◽  
Speed Sensor ◽  
Working Space

The article deals with the development of a high-speed sensor system for a mobile robot, used in conjunction with an intelligent method of planning trajectories in conditions of high dynamism of the working space.

scholarly journals Ultrasonic sensor enabled smart automated railway gate control system

2021 ◽  
Vol 1916 (1) ◽  
pp. 012137
Author(s):  
Kumar R Senthil ◽  
M Prabu ◽  
K S Rani ◽  
K Prabaakaran ◽  
Penekalapati Soniya Chowdary ◽  
...  
Keyword(s):  
Control System ◽  
Ultrasonic Sensor ◽  
Gate Control

Do hotel industry operations deteriorate air quality?

2021 ◽  
pp. 135481662110224
Author(s):  
Liang-Ju Wang ◽  
Ming-Hsiang Chen ◽  
Zhandong Yang ◽  
Ching-Hui (Joan) Su
Keyword(s):  
Air Quality ◽  
Hotel Industry ◽  
Second Step ◽  
Test Results ◽  
Sales Revenue ◽  
Key Indicator ◽  
Regression Test ◽  
Rolling Regression ◽  
The Impact ◽  
Regression Tests

This study proposes and tests two hypotheses concerning the effects of hotel industry operations on air quality based on data of 26 major tourist cities in China from 2002 to 2017. The empirical analyses take two steps. In the first step, panel regression test results reveal that hotel industry operations (measured by hotel sales revenue) significantly raise the value of particulate matter (PM)2.5 (the key indicator of air quality), supporting the first hypothesis that hotel industry operations deteriorate air quality and providing empirical evidence of the adverse impact of the hotel industry on air quality. In the second step, subsample analyses support the second hypothesis that the impact of hotel sales revenue on air quality diminishes over time. The results from the rolling regression tests validate the existence of a diminishing effect of hotel industry operations on air quality.

scholarly journals Viscoelastic Properties of Cell Structures Manufactured Using a Photo-Curable Additive Technology—PJM

Polymers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1895
Author(s):  
Tomasz Kozior ◽  
Czesław Kundera
Keyword(s):  
Viscoelastic Properties ◽  
Cellular Structure ◽  
Material Selection ◽  
Cellular Structures ◽  
Test Results ◽  
Additive Technology ◽  
Polymer Resin ◽  
Cell Structures ◽  
Relaxation Curves ◽  
The Impact

This research paper reviews the test results involving viscoelastic properties of cellular structure models made with the PolyJet Matrix—PJM additive technology. The designed test specimens were of complex cellular structure and made of three various photo-curable polymer resin types. Materials were selected taking into account the so-called “soft” and “tough” material groups. Compressive stress relaxation tests were conducted in accordance with the recommendations of standard ISO 3384, and the impact of the geometric structure shape and material selection on viscoelastic properties, as well as the most favorable geometric variants of the tested cellular structure models were determined. Mathematica and Origin software was used to conduct a statistical analysis of the test results and determine five-parameter functions approximating relaxation curves. The most favorable rheological was adopted and its mean parameters determined, which enables to match both printed model materials and their geometry in the future, to make a component with a specific rheological response. Furthermore, the test results indicated that there was a possibility of modelling cellular structures within the PJM technology, using support material as well.

scholarly journals Big Data Analytics for Search Engine Optimization

2020 ◽  
Vol 4 (2) ◽  
pp. 5 ◽  
Author(s):  
Ioannis C. Drivas ◽  
Damianos P. Sakas ◽  
Georgios A. Giannakopoulos ◽  
Daphne Kyriaki-Manessi
Keyword(s):  
Big Data ◽  
Cultural Heritage ◽  
Search Engine ◽  
Data Analytics ◽  
User Behavior ◽  
Big Data Analytics ◽  
Data Types ◽  
Search Engine Optimization ◽  
The Impact ◽  
The Web

In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and improve visibility and findability on the Web. In this respect, big data analytics expands the opportunities for developing new methodological frameworks that are composed of valid, reliable, and consistent analytics that are practically useful to develop well-informed strategies for organic traffic optimization. In this paper, a novel methodology is implemented in order to increase organic search engine visits based on the impact of multiple SEO factors. In order to achieve this purpose, the authors examined 171 cultural heritage websites and their retrieved data analytics about their performance and user experience inside them. Massive amounts of Web-based collections are included and presented by cultural heritage organizations through their websites. Subsequently, users interact with these collections, producing behavioral analytics in a variety of different data types that come from multiple devices, with high velocity, in large volumes. Nevertheless, prior research efforts indicate that these massive cultural collections are difficult to browse while expressing low visibility and findability in the semantic Web era. Against this backdrop, this paper proposes the computational development of a search engine optimization (SEO) strategy that utilizes the generated big cultural data analytics and improves the visibility of cultural heritage websites. One step further, the statistical results of the study are integrated into a predictive model that is composed of two stages. First, a fuzzy cognitive mapping process is generated as an aggregated macro-level descriptive model. Secondly, a micro-level data-driven agent-based model follows up. The purpose of the model is to predict the most effective combinations of factors that achieve enhanced visibility and organic traffic on cultural heritage organizations’ websites. To this end, the study contributes to the knowledge expansion of researchers and practitioners in the big cultural analytics sector with the purpose to implement potential strategies for greater visibility and findability of cultural collections on the Web.

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