scholarly journals Intelligent fish tank based on WiFi module

2018 ◽  
Vol 1 (1) ◽  
pp. 36
Author(s):  
Feng Yan ◽  
Fuyao Wang*

In the paper, the intelligent fish tank using STC89C52 as the control core embedded HC-SR04 ultrasonic distance measurement module and DS18B20 temperature sensor is introduced. This system can be used to remotely control and collect the data of the temperature and the level of water in the fish tank through WiFi module (ESP8266-01). When the water level is less than the default value, the system will be adjusted by adding water into the tank. At the same time, people could also get the data and control the tank whenever they want. The micro-controller is connected to the Internet through the WiFi module. With the help of MicroPython firmware, python programs are compiled within this WiFi module in order to connect to the WiFi at home, providing data transfer function. Android smart phones could connect to this system through WiFi and send commands. In this way, the fish tank could be controlled remotely to ensure the stability of the water temperature and level in the tank.

Author(s):  
Amevi Acakpovi ◽  
François-Xavier Fifatin ◽  
Maurel Aza-Gnandji ◽  
François Kpadevi ◽  
Justice Nyarko

This paper presents the design and construction and control of a quadcopter drone for Aerial Data Collection (ADC). The frame of the drone was designed using CadDian Software and the parts were printed using a 3D printer. The flight controller was based on Arduino board using an Atmega328p microprocessor with GSM, GPS and GPRS for sending data over the internet and also enhancing long range flight. A feedback control system was developed and tested to control the stability of drone. The proposed control strategy of the drone was tested for a case of pursuit of trajectory and also for speed of response and the findings were very positive confirming the appropriateness of the control measures for independent and autonomous flying with promising precision. This Unmanned Aerial Vehicle (UAV) fitted with IoT has the capability of collecting and sending data over the internet and therefore can be used in many applications including risk assessment, forestry management, urban planning, coastal zone management, infrastructure monitoring, post-disaster damage assessment and delivery of medical supplies.


2018 ◽  
Vol 10 (1) ◽  
pp. 1-5
Author(s):  
Muhammad Irmansyah ◽  
Junaldi Junaldi ◽  
Arya Bima Surya

Generally, in existing dams facilitated by sluice are used to control the amount of water on that dam. This sluice is controlled by a human that has a duty to maintain the stability of the water on that dams or not to be more than existing limitation. Therefore the doorman clerk must be ready at all times and it is impossible for him to do it over time.  The water gate drain human energy when open and then close it again. This tool is using as a replacement for human power. By the statement improved advanced technology development taht combines Android with Bluetooth-based Atmega 328 microcontroller instruments. This remote sluice control works automatically. The Ping sensor measures the level of the water and sluice, after that the recorded data will be processed by microcontroller and send it into the Android through Bluetooth. Besides that, the Android data that consist of water level and sluice will be captured on the LCD screen. On the other hand, the Beeb voice that getting from a buzzer will active when the level of the water sign exceeds 3 cm. In this research, Android is used as a  monitoring tool and control system remotely. Furthermore,  this tool also uses a DC motor in order to open and close sluice, so it makes the water gate capable to be closed and opened based on expected distance. This system hopefully can automatically open the water gate if the water level higher than a limit position by using an android control system based on operator expectation. That way there is no human power needed to open the water gate. In other words, effectiveness and efficiency will occur.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Sofyan Radit Kurniawan ◽  
Syamsudduha Syahrorini

Abstract. Technology continues to develop from year to year which aims to simplify human work or automation of a system. The concept of measuring the water level is automatically applied to the river in front of the Tanggulangin tourism market, which aims to make it easier for residents to check the river water level in real time via the internet network. By utilizing the DS18B20 sensor to find out the temperature which has 97.85% accuracy and the HC-SR04 ultrasonic distance sensor which has 100% accuracy at a distance of less than 20 CM to find out the water level based on changes in the distance value on the sensor as an indication of the rise and fall of river water. From the sensor, the sensor is controlled with the Arduino UNO and NodeMCU microcontroller board to make the system work automatically, as well as the use of the MIT App Inventor to create android applications and to support the internet of things system. From the results of this research, it is obtained: (1). In the HC-SR04 ultrasound sensor test, the stability of the measurement value is very good, seen from the standard deviation value. (2). In testing the DS18B20 temperature sensor with a standard thermometer ratio has a difference of 0.7 ° C accuracy with an accuracy of 97.85% so that it can be used as a measurement tool. (3). On the TDS sensor, the standard deviation can be between 130-141 ppm which indicates this tool can function properly. (4). On the LCD, it can work properly and is ready to use in a system that functions to display information carried out by the microcontroller. (5). For pH sensors, this sensor can measure the degree of acidity / basicity of water between 1-10 pH.


Author(s):  
Igor Didier Sabukunze ◽  
Suyoto Suyoto

Malaria is an infectious disease that has a devastating effect on humans but is contagious and preventable. There were 228 million malaria cases globally in 2018, with 93% of patients and 94% dying showing up in Africa within Burundi, possessing a massive growth (51%). This study proposes an IoT design for smart monitoring and alert systems for malaria patients in Burundi. After being tested positive while they are home drinking tablets prescribed by the doctor, the patients will use a body temperature sensor. When the situation worsens, the patient shall be hospitalized and use the water level sensor to monitor the serum level, which contains quinine. Body temperature and water level sensor will be connected to Arduino Microcontroller, and all information will be gathered and sent to the IoT server through the internet. The system design is authentic and adequate in reducing mortality in Burundi. Besides, the system is equipped to set up a caution message to the medical staff in case of the patient's extreme conditions. It can be concluded that a Smart monitoring and alert system is essential for monitoring malaria patients and can alert in case of a severe condition.


2020 ◽  
Vol 5 (2) ◽  
pp. 56-65
Author(s):  
Prasetyo Adinegoro ◽  
◽  
Muhammad Hisyam Habbani ◽  
Robiatul Akhlakul Karimah ◽  
Yoyok Adisetio Laksono ◽  
...  

Less ideal chicken coop condition is one reason for the low productivity of chickens in Indonesia. Based on this condition, breeders need monitoring and control devices that can be used easily anywhere and anytime. In this study, the monitoring and control devices based on the Internet of Things (IoT) were successfully designed using the ESP8266 microcontroller. The monitoring system used a DHT11 temperature sensor while the controller used a bulb and fan as the actuator. Monitoring data and control commands were displayed via Telegram. Coop testing was carried out with three different treatments-the light was on, the fan was on, and both were on-resulting in temperature and humidity measurement data ranging from 24–32 ºC and 61–78%, respectively. Therefore, this monitoring and control device can prevent the conditions of the chicken coop that are ideal less so that chickens' productivity increases.


2021 ◽  
Vol 9 ◽  
Author(s):  
Yafei Zou ◽  
Luo Wang ◽  
Haibo He ◽  
Guangxin Liu ◽  
Jiaoyang Zhang ◽  
...  

Although diatom records from lake sediments have been used for quantitative paleoclimatic reconstruction, their validity and sensitivity have rarely been tested rigorously. At Yunlong Lake, an alpine lake in Southwest China, we studied the seasonal succession of diatom assemblages to produce a mean surface water temperature (MSWT) transfer function. In addition, based on the spatial distribution of surface diatom assemblages with water depth, we produced a diatom-water depth (WD) transfer function. Combined with the analysis of diatom assemblages in a sediment core (YL2013-A), changes in surface water temperature and water level over the last ∼100 years were quantitatively reconstructed using the diatom-based transfer functions. Comparison with records of regional meteorology and reservoir water capacity revealed that the diatom-based lake water level reconstruction is a sensitive indicator of short-term fluctuations in precipitation, and it also reflects a long-term stepwise rise in water level caused by the impounding and large-scale extension of the reservoir. In addition, the diatom-inferred MSWT is consistent with the changes in air temperature prior to large-scale human disturbance of the site. However, after the extension of the reservoir, although the regional air temperature continued to increase, the water temperature decreased substantially. This suggests that the large increase in lake water volume in the short term led to a decrease in the average water temperature, which in turn led to the occurrence of a diatom bloom in the cold season. The results demonstrate that diatom transfer functions based on modern observations of the same lake has a high environmental sensitivity and can be used for the quantitative reconstruction of regional climate change. Overall, our findings provide a foundation for the use of lake diatom records for quantitative paleoclimatic reconstruction on various timescales.


Author(s):  
Shankar Chaudhary

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.


Author(s):  
Ari Ramadhani

Abstract - Automatic system have grown widespread across all sector so do water heater. Traditionally, heating water is done by utilizing fire as heat source. As the growing of technology, the heating process could be done by manipulating electrical energy by convert it to heat. Electrical energy is flown to a metal rod that contact directly with the water which increase the water temperature. On some case, appropiate water temperature is needed. Altough, a thermometer is needed to read the actual temperature as a feedback value for the system and a system that can control the electricity current flow through the heater that the heat produced is linear to the current flow. With implementing microcontroller as a process node for generating PWM signal, this problem can be solved. Also, Labview is needed as an interface for monitoring and bursting an output which have been processed by Proportional, Integral, and Devivative (PID) controller to producing accurate and stable heat. Based on the results of testing, the system is able to provide a rapid response to any changes that occur, both changes in set-point and changes in water temperature (actual value). Another test is done by comparing the temperature value detected by the temperature sensor in this device with an external digital thermometer placed in the same place, and from some of the tests the temperature value detected by the temperature sensor in this device has a difference of ± 0.19 ℃ with a digital thermometer. Keyword : Water Heater, Thermometer, Microcontroller, LabView, PID.


2020 ◽  
Author(s):  
Mayli Lañas-Navarro ◽  
Jose Ipanaque-Calderon Sr ◽  
Fiorela E Solano

BACKGROUND Research on the use of the Internet in the medical field is experiencing many advances, including mobile applications, social networks, telemedicine. Its implementation in medical care and comprehensive patient management is a much discussed topic at present. OBJECTIVE This narrative review aims to understand the impact of the internet and social networks on the management of diabetes, both for patients and medical staff. METHODS The bibliographic search was carried out in the databases Pubmed, Virtual Health Library (VHL) and Lilacs between 2018 to 2020. RESULTS Multiple mobile applications have been created for the help and control of diabetic patients, as well as the implementation of online courses, improving the knowledge of health personnel applying them in the field of telemedicine. CONCLUSIONS The use of the Internet and social networks brings many benefits for both the diabetic patient and the health personnel, offering advantages for both.


2021 ◽  
Vol 11 (4) ◽  
pp. 1829
Author(s):  
Davide Grande ◽  
Catherine A. Harris ◽  
Giles Thomas ◽  
Enrico Anderlini

Recurrent Neural Networks (RNNs) are increasingly being used for model identification, forecasting and control. When identifying physical models with unknown mathematical knowledge of the system, Nonlinear AutoRegressive models with eXogenous inputs (NARX) or Nonlinear AutoRegressive Moving-Average models with eXogenous inputs (NARMAX) methods are typically used. In the context of data-driven control, machine learning algorithms are proven to have comparable performances to advanced control techniques, but lack the properties of the traditional stability theory. This paper illustrates a method to prove a posteriori the stability of a generic neural network, showing its application to the state-of-the-art RNN architecture. The presented method relies on identifying the poles associated with the network designed starting from the input/output data. Providing a framework to guarantee the stability of any neural network architecture combined with the generalisability properties and applicability to different fields can significantly broaden their use in dynamic systems modelling and control.


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