Today, air pollution is the biggest environmental health problem in the world. Air pollution leads to adverse effects on human health, climate and ecosystems. Air is contaminated by toxic gases released by industry, vehicle emissions and the increased concentration of harmful gases and particulate matter in the atmosphere. Air pollution can cause many serious health problems such as respiratory, cardiovascular and skin diseases in humans. Nowadays, where air pollution has become the largest environmental health risk, the interest in monitoring air quality is increasing. Recently, mobile technologies, especially the Internet of Things, data and machine learning technologies have a positive impact on the way we manage our health. With the production of IoT-based portable air quality measuring devices and their widespread use, people can monitor the air quality in their living areas instantly. In this study, e-nose, a real-time mobile air quality monitoring system with various air parameters such as CO2, CO, PM10, NO2 temperature and humidity, is proposed. The proposed e-nose is produced with an open source, low cost, easy installation and do-it-yourself approach. The air quality data measured by the GP2Y1010AU, MH-Z14, MICS-4514 and DHT22 sensor array can be monitored via the 32-bit ESP32 Wi-Fi controller and the mobile interface developed by the Blynk IoT platform, and the received data are recorded in a cloud server. Following evaluation of results obtained from the indoor measurements, it was shown that a decrease of indoor air quality was influenced by the number of people in the house and natural emissions due to activities such as sleeping, cleaning and cooking. However, it is observed that even daily manual natural ventilation has a significant improving effect on air quality.
An important part of our life, internet has enabled many machines and devices we use in everyday life to be monitored and controlled remotely through Internet of Things (IOT) technology. Thanks to IOT technology, smart health applications have become a rapidly growing sector. For individuals with heart disease, the Heart Rate (HR), Heart Rate Variability (HRV) and Body Temperature (BT) values are considered vital signs that must be measured regularly. In this study, an android-based application is developed that can monitor HR, HRV and CT parameters for cardiovascular patients who should be under constant observation. The measuring system, which consists of wearable sensors, constantly measures patient signs. Then send the measured signals to android interface via wireless connection. If the predetermined critical values for the patient are exceeded, the HR, HRV, CT values and also the realtime location of patient is sent both to family members and doctor as e-mail and twitter notification. The wearable measurement system allows patients to be mobile in their own social environment, allowing them to live their lives in confidence.
What is already known on this topic? Hyponatremia is caused by the combination of excess ADH-induced water retention and secondary solute loss in patients with inappropriate antidiuretic hormone syndrome. Vaptans, arginine-vasopressin receptor antagonists are alternatively used for SIADH in adults. In children, vaptan treatment has not been approved for SIADH. What this study adds? Here, we report a successful tolvaptan treatment in a child with SIADH. Furthermore, we report that only one dose of tolvaptan in triphasic episode is sufficient efficiency. This data is the first child patient from Turkey.
Global climate change and COVID-19 have changed our social and business life. People spend most of their daily lives indoors. Low-cost devices can monitor indoor air quality (IAQ) and reduce health problems caused by air pollutants. This study proposes a real-time and low-cost air quality monitoring system for smart homes based on Internet of Things (IoT). The developed IoT-based monitoring system is portable and provides users with real-time data transfer about IAQ. During the COVID-19 period, air quality data were collected from the kitchen, bedroom and balcony of their home, where a family of 5 spend most of their time. As a result of the analyzes, it has been determined that indoor particulate matter is mainly caused by outdoor infiltration and cooking emissions, and the CO2 value can rise well above the permissible health limits in case of insufficient ventilation due to night sleep activity. The obtained results show that the developed measuring devices may be suitable for measurement-based indoor air quality management. In addition, the proposed low-cost measurement system compared to existing systems; It has advantages such as modularity, scalability, low cost, portability, easy installation and open-source technologies.
ABSTRACT:This study compares an energy consumption results of the TI-6Al-4V based material processing under the 900 kHz induction heating for different cases. By this means, total power consumption and energy consumptions per sample and amount have been analyzed. Experiments have been conducted with 900 kHz, 2.8 kW ultra-high frequency induction system. Two cases are considered in the study. In the first case, TI-6Al-4V samples have been heated up to 900 °C with classical heating method, which is used in industrial applications, and then they have been cooled down by water. Afterwards, the samples have been heated up to 600 °C, 650 °C and 700 °C respectively and stress relieving process has been applied through natural cooling. During these processes, energy consumptions for each defined process have been measured. In the second case, unlike the first study, can be used five different samples have been heated up to the various temperatures between 600 °C and 1120 °C and energy consumptions have been measured for these processes. Thereby, the effect of temperature increase on each sample on energy cost has been analyzed. It has been seen that as a result of heating the titanium bulk materials, which have been used in the experiment, with ultra high frequency induction, temperature increase also increases the energy consumption. But it has been revealed that the increase rate in the energy consumption is more than the increase rate of the temperature. RESUMEN: Análisis comparativo del consumo energético de un sistema de calentamiento por inducción a alta frecuencia para aplicaciones de procesado de materiales.En este estudio se comparan los consumos energéti-cos al procesar Ti-6Al-4V por inducción a 900 kHz. Se ha analizado la potencia total consumida y la energía consumida por muestra. Los experimentos se han realizado en un sistema de inducción de ultra alta frecuencia a 900 kHz, 2,8 kW. Se han considerado dos casos, en el primero se ha calentado Ti-6Al-4V a 900 °C por el método clásico usado en la industria y enfriado en agua; posteriormente las muestras se han calentado a 600, 650 y 700 °C y enfriadas al aire para relajar tensiones. En los tres casos se midió el consumo energético. En el segundo caso, cinco muestras diferentes fueron tratadas a temperaturas entre 660 y 1120 °C, midiendo el consumo energético en todos los casos. Asimismo se analizó el efecto del incremento de temperatura en el consumo energético, observándose que al calentar los materiales de base titanio usados en este trabajo con inducción de alta frecuencia, el consumo energético aumenta al aumentar la temperatura, siendo la velocidad de incremento del consumo energético mayor que la velocidad de incremento de la temperatura.
The aim of this study is to investigate the electrical energy consumption for different material processing methods. In these experiments, ferrous powder metals, bulk iron and bulk graphite materials are used. These different materials are heated, sintered and welded by using processes of ultra-high frequency induction heating (UHFIH), ultra-high frequency induction heating sintering (UHFIHS) and ultra-high frequency induction heating welding (UHFIHW), respectively. For all experiments, 2.8 kW, 900 kHz ultra-high frequency induction heating system is used. The experiments are conducted by LabVIEWTM based measurement and control system. Finally, all data are analyzed to show the energy efficiency of each process.
Öz Tarımsal ve peyzaj amaçlı sulama tatlı su kaynaklarının en çok tüketildiği uygulama alanlarıdır. Suyun akıllı yönetimi, sulama veriminin arttırılması, maliyetlerin düşürülmesi ve çevresel sürdürülebilirliğe katkıda bulmaktadır. Su kullanımını optimize etmek, enerji tüketimini azaltmak ve mahsullerin kalitesini artırmak için sulama alanında teknoloji kullanımına olan ihtiyaç her geçen gün artmaktadır. Nesnelerin İnterneti (IoT) tabanlı akıllı sulama sistemleri, tatlı su kaynaklarının verimli kullanımına yardımcı olabilir. Çevresel koşulların izlenmesi, sulama veriminin arttırmasında en önemli unsurdur. Bu çalışmada, IoT tabanlı bir akıllı sulama sistemi önerilmiştir. Önerilen bu akıllı sulama sistemi, hava sıcaklığı, hava nemi ve toprağın nem değerini kullanarak uygun sulama zamanı ve sulama süresini belirlemektedir. Akıllı sulama sistemi, sensör bilgilerini kullanarak yağış tahmininde bulunup gerektiğinde sulama zamanını ötelemektedir. Geliştirilen android tabanlı kullanıcı arayüzü, sensör verileri, sulama süresi, elektrik ve su tüketimi gibi verilerin gerçek zamanlı görüntülenmesini sağlanmaktadır. Bulut sistemi üzerine kaydedilebilen sensör verilerinin analizi ideal sulama periyodu ve sulama süresinin belirlenmesinde yardımcı olmaktadır. İnsan müdehalesini en aza indiren bu akıllı sulama sistemi ile uzaktan izleme ve kontrol imkanı yanında elektrik ve su tasarrufu sağlanmaktadır.
Özet: İnternet çağını çok hızlı yaşadığımız günümüzde, sürekli olarak artan Nesnelerin İnterneti (IoT) uygulamaları hayatımızı kolaylaştırmaktadır. İnsan makine etkileşimli IoT tabanlı uygulamaların en popüleri şüphesiz akıllı ev uygulamalarıdır. Akıllı ev uygulamalarında cihazlar birbiri ile haberleşerek insan müdahalesi olmadan çalışabilirler. Buda bize zaman ve enerjiden tasarruf etmemizi sağlar. Bu çalışmada; 32-bit Dual Core ESP32 modül ve Blynk IOS/Android arayüz geliştiricisi kullanarak gerçek zamanlı veri izleme ve kontrol uygulaması gerçekleştirilmiştir. Blynk platformuyla tasarlanan Android tabanlı uzaktan izleme ve kontrol arayüzü sayesinde bir akıllı eve ait sıcaklık ve nem verileri kullanılarak ısıtma sisteminin kontrolü sağlanmıştır. Mobil cihaza kurulan android arayüz, ısıtma sisteminin çalışma saatlerini belirleyen haftalık programlama özelliğine sahiptir. Mobil cihazdan elde edilen konum bilgisi kullanılarak, ESP32 modül ile mobil cihaz arasındaki mesafe anlık olarak hesaplanır. Hesaplanan bu mesafeye göre ısıtma sistemi otomatik olarak çalışır veya durur. Blynk uygulamasının sunduğu bulut hizmeti, bize sistem ile ilgili sayısal verilerin depolama imkanını sunmaktadır. Önerilen IoT tabanlı bu akıllı ısıtma sistemi sağladığı enerji tasarrufunun yanında kullanıcıların konforunu da arttırmaktadır.
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