Monitoring Temperature in Children Under General Anesthesia: Nasopharynx Versus Carotid Artery Surface

Continuous body temperature monitoring during anesthesia in children is very important. Hypothermia in children may lead to higher morbidity and mortality. Measurement points to detect the temperature of core body are not simply accessible. In this study we measured the skin temperature over the carotid artery and compared it with the nasopharynx. Totally, 84 children of 2-10 years undergoing elective surgery were selected. Temperature over the carotid artery and nasopharynx was measured during anesthesia. Mean temperature of these points was compared which each other, and the effects of age, sex, and weight change of temperature during anesthesia were evaluated. The mean age of patients was 5.4±2.6 years s. 37% of patients were female, and 63% were male. The mean weight was 20±7 kg. The mean duration of surgery was 60.45±6.65 min. The temperature of the skin and nasopharynx was decreased during surgery as after 60 min, the deference between skin over the carotid artery and the nasopharyngeal area was 1° C. The bodyweight has a significant effect on carotid skin temperature in regression model. Skin temperature over the carotid artery, with a simple correction factor of+1° C, provides a viable noninvasive estimate of nasopharyngeal temperature in children during elective surgery with a general anesthetic.

The IoT-BASED TEMPERATURE AND HUMIDITY MONITORING SYSTEM IN THE PROCESS OF MAKING ORGANIC FERTILIZER

The Process Of Making Organic Fertilizer requires a certain temperature and humidity to keep the microorganisms used to be able to stay alive and can decompose perfectly, for that it is necessary to monitor temperature and humidity. Along with the development of this technology, it can be done by remote automation using a microcontroller on the ESP8266 nodemcu based on IoT (Internet Of Things), which is combined with the DS18B20 sensor for temperature measurement and soil moisture sensor, as a humidity meter with a temperature unit of °C. The humidity meter is an analog signal, the larger the value, the more humid of organic fertilizer. Acquired measurement data is sent to the Smartphone using an internet-connected ESP8266 monitoring temperature and humidity, which can be viewed via the Blynk App.

Sistem Monitoring Suhu dan Gas Amonia untuk Kandang Ayam Skala Kecil

ABSTRAKSuhu kandang yang tidak sesuai dengan kondisi nyaman dan adanya gas amonia dapat menyebabkan tingginya angka kematian, pertumbuhan yang tidak optimal dan menurunnya produksi telur pada ayam. Tujuan artikel ini adalah untuk menghasilkan model sistem monitoring berbasis elektronis untuk memantau suhu dan gas amonia pada kandang ayam. Model sistem monitoring yang dihasilkan dikembangkan dengan menggunakan komponen elektronika komersial meliputi sensor suhu DHT-1, sensor gas amonia MQ-135, Arduino Pro Mini, Wemos D1, Telegram, dan Blynk. Hasil pengujian pada lingkungan dalam, luar ruangan dan kandang aktual menunjukkan sistem monitoring mampu mengukur suhu pada rentang 29-33,60oC dan gas amonia pada rentang 0,36-197,56 ppm secara konsisten tanpa ada perubahan hasil pengukuran yang drastis dan tiba-tiba. Sistem yang dihasilkan ini berpotensi untuk diuji pada skala yang luas dan dilakukan uji standar pengukuran.Kata kunci: pemantau suhu, pemantau gas amonia, pemantau kandang ayam, sistem berbasis mikrokontroler ABSTRACTThe temperature which is not suitable and the presence of ammonia gas cancause high mortality, suboptimal growth and decreased egg production of chickens. The purpose of this publication is to produce an electronic based monitoring system model for monitoring temperature and ammonia gas in chicken coops. The model was developed using DHT-1 sensor, MQ-135 sensor, Arduino Pro Mini, Wemos D1, Telegram, and Blynk applications. The test results in indoor, outdoor, and actual chicken coop environments showed that the monitoring system was able to measure temperature, i.e. 29-33.60oC and ammonia gas, i.e. 0.36-197.56 ppm consistently without any drastic and sudden changes in measurement results. The obtained system is potential to be tested in larger scale and measurement standard.Keywords: temperature monitoring, Ammonia gas monitoring, chicken coop monitoring, microcontroller based system

Fish Feeder And Monitoring Temperature Control System Menggunakan Metode Protoype pada Akuarium Ikan Hias Koki Berbasis Internet Of Things

IoT in this research serves to integrate and connect all electronic devices using the internet network. This system will make it easier for users to feed fish from a distance and get information about the state of water.Arduino utilizes the ATMega microprocessor to control a variety of sensors. For example, to monitor the condition of a room and make it possible to "feel" the conditions in the room even though it is monitored remotely.The method used in this research is Prototype because it is very good for solving misunderstanding problems between users and analysts. Researchers designed and implemented an IoT-based temperature control system for remote feeding and monitoring in aquarium ornamental chefs. This system uses an Android-based smartphone connected to the NodeMcu Microcontroller to send the latest temperature information and provide an early warning if the temperature in the aquarium.

A Smart Monitoring Berbasis Internet of Things (IoT) Suhu dan Kelembaban pada Kandang Ayam Broiler

This study aims to design and build Internet of Things-based smart monitoring of temperature and humidity in broiler chicken coops in Talang Kemiling Pagar Alam that can facilitate and help breeders. This research is monitoring temperature and humidity which still uses the farmer's body itself as a temperature and humidity sensing tool, so that farmers do not know what the actual temperature and humidity are in the chicken coop. Therefore it is necessary to make a tool that can monitor temperature and humidity conditions in broiler chicken coops by utilizing the existing internet network using temperature and humidity sensors, namely DHT11, 1 channel relay for lamp control, and NODEMCU ESP8266 as a microcontroller that processes and transmits data from sensors. to the telegram server via the internet network, the telegram application on an android smartphone is used as an interface for monitoring temperature and humidity in broiler chicken coops remotely. This research uses the Rapid Application Development (RAD) system development method. The stages taken are Requirement Planning, Design Workshop, Build The System and Implementation. To obtain data in this study, researchers conducted data collection techniques including observation, interviews and literature study. The results expected from this study are the tools produced can help and facilitate breeders in raising broiler chickens.

Crop Recommendation System using Machine Learning

A vast fraction of the population of India considers agriculture as its primary occupation. The production of crops plays an important role in our country. Bad quality crop production is often due to either excessive use of fertilizer or using not enough fertilizer. The proposed system of IoT and ML is enabled for soil testing using the sensors, is based on measuring and observing soil parameters. This system lowers the probability of soil degradation and helps maintain crop health. Different sensors such as soil temperature, soil moisture, pH, NPK, are used in this system for monitoring temperature, humidity, soil moisture, and soil pH along with NPK nutrients of the soil respectively. The data sensed by these sensors is stored on the microcontroller and analyzed using machine learning algorithms like random forest based on which suggestions for the growth of the suitable crop are made. This project also has a methodology that focuses on using a convolutional neural network as a primary way of identifying if the plant is at risk of a disease or not.

Sistem Monitoring Berbasis Internet of Thing (IoT) Untuk Pengendalian Kualitas Air dan Pakan Ikan pada Budidaya sistem Akuaponik

The Internet of Thing (IoT) based monitoring system for controlling routines in aquaponics systems aims to facilitate farmers in carrying out maintenance on cultivation such as feeding fish, checking and controlling water quality and monitoring temperature and humidity. This system uses an android application called Blynk which is connected using an internet connection with NodeMCU which also acts as a brain that processes input from sensors (pH, Turbidity and DHT11 sensors) and outputs in the form of commands for relays and data sent back to Blynk applications so that the Aquaponics farmers can see the conditions on their farm and control those conditions wherever they are. Keywords: Aquaponics, DHT11, Internet of Thing (IoT), NodeMCU Blynk, Turbidity. Abstrak Sistem monitoring berbasis internet of thing (IoT) untuk pengendalian rutinitas pada budi daya sistem akuaponik ini bertujuan untuk mempermudah para petani dalam melakukan perawatan pada budi daya seperti pemberian pakan untuk ikan, pengecekan dan pengendalian kualitas air serta monitoring suhu dan kelembaban. Sistem ini menggunakan aplikasi android yang bernama Blynk yang tersambung menggunakan sambungan internet dengan NodeMCU yang bertindak juga sebagai otak yang memproses input dari sensor (sensor pH, Turbidity dan DHT11) dan output berupa perintah untuk relay serta data yang di kirim kembali ke aplikasi Blynk agar para petani akuaponik bisa melihat kondisi pada pertanian mereka serta mengendalikan kondisi tersebut dimanapun mereka berada. Kata kunci: Akuaponik, DHT11, Internet of Thing (IoT), NodeMCU Blynk, Turbidity.

IMPLEMENTATION OF DISTRIBUTED AVERAGE CONSENSUS METHOD ON WIRELESS SENSOR NETWORK FOR MONITORING TEMPERATURE AND HUMIDITY IN SWITCHGEAR ROOM

The development of wireless sensor networks is currently very rapid in various sectors. One of the implementations of the wireless sensor network is for monitoring temperature and humidity. In monitoring a room or a large area, many nodes are installed at a certain point. With the number of senses by each node so that one data that can represent the area is needed. To get one data that can represent the data in that area, we need a consensus method. In this study, the average distributed consensus method was used to obtain data representation from an area's wireless sensor network. After testing and simulating the ideal range between WSN nodes is 30 meters where the average percentage of detection errors reaches 0%. And the maximum capability is 33 meters with an average percentage of error detection of 46%. If given a barrier between WSN nodes, the distance that can be reached becomes shorter, with an ideal distance of 16 meters with an average percentage of error detection of 0% and the farthest distance reaching 21 meters with a detection error of 50%. The results of the consensus method simulation show that the more slots are filled with consensus data about the results, the faster and easier convergence will be achieved, in this case the monitoring results represent the real situation.