Development of IoT-Based Lighting Installation Practicum Module

With the advancement of technology today, there is known to be an innovation that is the internet of things where electronic devices can be monitored and controlled remotely. For this reason, the practicum module of internet of things-based lighting installation as a medium of learning for students. The workings of the tool will be made using the PZEM-004T sensor as a sensor reading the current voltage, power, and energy used and ESP-32 as an additional module on the Arduino Mega so that data reading voltage, current and power can be sent using the internet network to the smartphone. In the smartphone application, we can also control to extinguish or turn on the lights.

Pembuatan Alat Monitoring Infus Berbasis NodeMCU ESP8266

The problem of late replacement of infusion mattresses for patients in a medical institution is still common today. It still helps him closely with the nurses' negligence in monitoring the patient's infusion condition. This condition is very dangerous for the patient's health. Therefore the making of infusion monitoring equipment based on NodeMCU esp8266. This tool works by relying on the results of sensor readings that are inserted into the microcontroller which will be processed by NodeMCU. The sensor used in making this system is the sensor module, the sensor reading sensor is the intended emission sensor - in this case, means the drip drops, the sensor will count the number of drops. From the number of drops, it can be used to count the drip infusion. In this study, it can be concluded that the NodeMCU ESP 8266-based infusion monitoring tool using the IR Obstacle sensor component has been successfully made through the functionality test process.

Sistem Keamanan Gedung Menggunakan Kinect Xbox 360 Dengan Metode Skeletal Tracking

The incidence of fire and theft is very threatening and causes disruption to people's lifestyles, both due to natural and human factors resulting in loss of life, damage to the environment, loss of property and property, and psychological impacts. The purpose of this study is to create a building security system using Kinect Xbox 360 which can be used to detect fires and loss of valuable objects. The data transmission method uses the Internet of Things (IoT) and skeletal tracking. Skeletal detection uses Arduino Uno which is connected to a fire sensor and Kinect to detect suspicious movements connected to a PC. Kinect uses biometric authentication to automatically enter user data by recognizing objects and detecting skeletons including height, facial features and shoulder length. The ADC (Analog to Digital Converter) value of the fire sensor reading has a range between 200-300. The fire sensor detects the presence of fire through optical data analysis containing ultraviolet, infrared or visual images of fire. The data generated by Kinect by detecting the recognition of the skeleton of the main point of the human body known as the skeleton, where the reading point is authenticated by Kinect from a range of 1.5-3 meters which is declared the optimal measurement, and if a fire occurs, the pump motor will spray water randomly. to extinguish the fire that is connected to the internet via the wifi module. The data displayed is in the form of a graph on the Thingspeak cloud server service. Notification of fire and theft information using the delivery system from input to database

Sistem Pendistribusian Air Bersih Metode Prabayar Terkendali Mikrokontroler Berbasis IoT

A number of problems sometimes often arise regarding the flow of clean water from Regional Drinking Water Companies (PDAMs) to customers, such as the flow of water stops suddenly or there is no water at all, so it is necessary to manufacture a prototype system for monitoring the distribution of clean water with a microcontroller-controlled prepaid method. IoT based. The distribution of PDAM water that is channeled to consumers can be monitored online through the Internet network. The objectives of this research are (a) to make a prototype (prototype) of a prepaid clean water distribution system controlled by a microcontroller based on IoT, (b) to program an Arduino IDE-assisted system, and (c) to measure system performance. The research method starts from making a prototype physical form of clean water distribution assisted by a microcontroller, programming the microcontroller and Wi-Fi module, and measuring system performance. The results of measuring system performance are indicated by an error in the ultrasonic sensor reading HC-SR04 that occurs when the water level is low and too high with a maximum measured water level of 95%. The error when measuring the waterflow sensor at the water level is lower than 49% which is influenced by the water speed from the low pressure pump when the water level is below that value. The accuracy level of the waterflow sensor is 96.96% which is based on the sensor measurement results which are compared to the measurement results with a measuring cup. The system can monitor data readings from the waterflow sensor by using the NodeMCU ESP8266 on a web server from Thinkspeak via the smartphone screen. Overall the tool can function well

Design and implementation of irrigation prototype system based GSM

Smart farming is one of the keys for future agriculture because it is a management to use modern technology for increasing the quality and quantity of the agriculture. And because of the planet quality depend on the amount of water and the characteristics of soil, it is necessary to study the soil using the soil moisture sensor to investigate whether the soil is dry or wet, also to consider the challenges that could be faced in agricultural environment by maintain the soil and the planets irrigated without extra usage of water. In this paper, a prototype irrigation system uses Arduino Uno microcontroller which is programmed in C++ language to sense the degree of moisture by using soil moisture sensor. According to moisture sensor readings, when the moisture sensor above 1000, Arduino triggers to supply the water by using 5V mini water pump and stop when the soil moisture sensor reading reaches below 400. GSM technology enables the user to be notified in any changes happening in agricultural area by sending SMS (Short Message Service). Whenever the soil become wet or dry and the mini water pump switched on or off, a message delivered to user’s cellular phone indicating the condition of the soil and the action of water pump. In that capacity, this prototype will reduce the time for the user by monitoring remotely without going to his land, and also to reduce the usage of water by allow the water pump to flow the water for limited time until the moisture degree raise again.

Design and Development of Water Distribution Monitoring System in Regional Drinking Water Companies (PDAM) Based On Internet Of Things

The purpose of this study is to create a prepaid PDAM clean water distribution system using a microcontroller based on the Internet of Things (IoT). The hardware used to realize the system consists of ultrasonic sensors, water flow sensors, relays, LCD buzzers and Arduino. ESP 8266 01 for delivery to the Thingspeak app. From the test results obtained HC-SR04 ultrasonic sensor reading error occurs when the water level is low and too high, the maximum measurable water level is 95%. When calculating the comparison between the water discharge that is read by the sensor and that measured by the measuring cup, the results are always not the same. The error when testing the water flow sensor at the water level is less than 49% this is influenced by the speed of the water fired by the pump, where the pump will be under low pressure when the water level is below that value. The system can monitor data readings from the water flow sensor using the ESP8266 monitored on the thinkspeak web server using a smartphone. Overall the tool can function well.

Lightweight Neural Networks for Context Aware Embedded System

<p>An embedded system is a microcontroller or microprocessor-based system which is designed to perform a specific task by collecting, processing and communicating information. While focusing on specific task, it is also desired to make such system for better and efficient result. In due course, one of the challenges is contextualizing the collected information to predict the output and making smart decision to produce the output. The learning system that can contextualize the surrounding environment should have a capability of automatic mechanism of inferring information like humans do. This calls for neural networks that provide an embedded intelligence for smart systems to make decisions at machine speed. The main challenge to develop such system is the constraints in memory size, computational power and other characteristics of embedded system that can significantly restrict developers from implementing learning algorithms to solve the problem. This paper resents lightweight neural networks so as to show a method for implementing context-aware embedded system in environment where there is resource limitation. A testbed is setup for collecting the data, training and evaluation. The algorithms are simulated using C on Arduino. A good result was obtained after deploying the algorithm and knowledgebase on Arduino board for sensor reading.</p>

Lightweight Neural Networks for Context Aware Embedded System

<p>An embedded system is a microcontroller or microprocessor-based system which is designed to perform a specific task by collecting, processing and communicating information. While focusing on specific task, it is also desired to make such system for better and efficient result. In due course, one of the challenges is contextualizing the collected information to predict the output and making smart decision to produce the output. The learning system that can contextualize the surrounding environment should have a capability of automatic mechanism of inferring information like humans do. This calls for neural networks that provide an embedded intelligence for smart systems to make decisions at machine speed. The main challenge to develop such system is the constraints in memory size, computational power and other characteristics of embedded system that can significantly restrict developers from implementing learning algorithms to solve the problem. This paper resents lightweight neural networks so as to show a method for implementing context-aware embedded system in environment where there is resource limitation. A testbed is setup for collecting the data, training and evaluation. The algorithms are simulated using C on Arduino. A good result was obtained after deploying the algorithm and knowledgebase on Arduino board for sensor reading.</p>

Stream Data Cleaning under Speed and Acceleration Constraints

Stream data are often dirty, for example, owing to unreliable sensor reading or erroneous extraction of stock prices. Most stream data cleaning approaches employ a smoothing filter, which may seriously alter the data without preserving the original information. We argue that the cleaning should avoid changing those originally correct/clean data, a.k.a. the minimum modification rule in data cleaning. To capture the knowledge about what is clean , we consider the (widely existing) constraints on the speed and acceleration of data changes, such as fuel consumption per hour, daily limit of stock prices, or the top speed and acceleration of a car. Guided by these semantic constraints, in this article, we propose the constraint-based approach for cleaning stream data. It is notable that existing data repair techniques clean (a sequence of) data as a whole and fail to support stream computation. To this end, we have to relax the global optimum over the entire sequence to the local optimum in a window. Rather than the commonly observed NP-hardness of general data repairing problems, our major contributions include (1) polynomial time algorithm for global optimum, (2) linear time algorithm towards local optimum under an efficient median-based solution , and (3) experiments on real datasets demonstrate that our method can show significantly lower L1 error than the existing approaches such as smoother.