scholarly journals Alat Pendeteksi Kebakaran Menggunakan SMS

2020 ◽  
Vol 1 (2) ◽  
pp. 251-254
Author(s):  
Sindi Permata Sari ◽  
Oriza Candra ◽  
Jhefri Asmi
Keyword(s):  
Human Factors ◽  
Temperature Sensor ◽  
Human Life ◽  
Fire Detection ◽  
Smoke Detectors ◽  
Fire Detector ◽  
Arduino Uno ◽  
Main Component ◽  
The Brain ◽  
Early Fire Detection

Lately, there are frequent fires caused by human factors. Because we cannot predict the process of fire in advance. And the delay in knowing the occurrence of a fire is very fatal to the safety of human life and property. With advances in technology, we can overcome fires by making early fire detection devices. With the presence of temperature and smoke detectors, we can detect fires as early as possible and be delivered quickly via alarms and SMS gateways. The main component of this fire detector is the Arduino Uno. This Arduino uno acts as the brain of the fire detection device. This tool works based on the detection of the temperature condition by the DHT11 temperature sensor, which is when the temperature is above normal, an alert notification will be sent via the SMS gateway and so will the MQ2 smoke and the buzzer will sound as a warning alarm.

scholarly journals Model Pendeteksi Api dalam Ruangan Berbasis SMS Menggunakan Logika Fuzzy

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Deden Ardiansyah ◽  
Anjyaz Anjani
Keyword(s):  
Fuzzy Logic ◽  
Detection System ◽  
Human Life ◽  
Control Unit ◽  
Fire Detection ◽  
Automation System ◽  
Security Level ◽  
Fire Hazards ◽  
Fire Detection System ◽  
Arduino Uno

Automation system in its function to helps and makes human life easier has experienced a significant growth in recent years, for example in security field. Low security level such as no fire detection system is one of the factors which is supporting the possibilities of fire accidents to happen. This system detects the possibilities fire using fuzzy logic. This system uses microcontroller Arduino Uno as control unit, flame sensor to check infrared ray from the fire, DHT11 temperature sensor to monitor the temperature in the room, and GSM shield to send SMS. Sensors will detect fire in the room and send the collected information to be processed by Arduino Uno by implementing fuzzy logic. SMS-Based Indoor Fire Detection System Models Using Fuzzy Logic has many benefits in the development of room safety systems from fire hazards. The design of this system is simple but can be widely applied to further research development.

scholarly journals FIRE DETECTION BASED ON IOT THROUGH FIBER TO THE HOME (FTTH)

2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Sri Danaryani ◽  
Verawati Agustina ◽  
Fuanisa Bonita Herlina Syamsudin
Keyword(s):  
Gas Sensor ◽  
Temperature Sensor ◽  
Fire Detection ◽  
The Internet ◽  
Test Results ◽  
Temperature Changes ◽  
Fiber To The Home ◽  
Small Delay ◽  
Sensor Processing ◽  
Fire Detector

ABSTRACTFires can occur anytime and anywhere and fires are generally known after the fire has begun to grow. Therefore, it is necessary to detect fires that can quickly detect the presence of a fire and prevent fires from getting bigger. This research has made a fire detection equipment where the detection results can be received remotely by utilizing the internet network through FTTH. The transmitter equipment consists of a fire detector using the MQ-2 gas sensor, LM35DZ temperature sensor, processing data using Arduino that is connected to an Ethernet shield and FTTH. The receiver consists of an Ethernet shield, Arduino, and an alarm and LED circuit. Changes in smoke temperature and thickness were detected by Arduino. When the LM35DZ temperature sensor detects temperature changes greater than or equal to 350C and the gas sensor MQ-2 detects smoke thickness greater than or equal to 150ppm, the Arduino microcontroller will provide logic 1 and will activate the buzzer and led. Conversely, if the temperature and smoke thickness are less than the conditions above, Arduino sends logic 0. Arduino uno is connected to the Ethernet shield so that data from Arduino can be sent via the internet using FTTH network. In the receiver, if the data received by logic 1 will activate the buzzer and led which indicates the temperature above 35 degrees and smoke thickness above 150 ppm. Transmitter devices and receivers can be interconnected through FTTH networks with IP addresses that are one network, where the IP transmitter device is 172.31.16.27 and the IP device is 172.31.16.29. The QOS test results for FTTH network are good with packet loss 0 and very small delay which is <150 ms and throughput above 1Mbps.Key : Arduino, buzzer, LED, Ethershield, Fiber To The Home,IoT

scholarly journals Research on heavy metal level and co-occurrence network in typical ecological fragile area

2021 ◽  
Author(s):  
Yiwei Zhao ◽  
Liangmin Gao ◽  
Fugeng Zha ◽  
Xiaoqing Chen ◽  
Xiaofang Zhou ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Human Factors ◽  
Human Life ◽  
Mining Area ◽  
Parent Material ◽  
Control Value ◽  
Pollution Levels ◽  
Soil Parent Material ◽  
Sampling Points

AbstractDue to the special sensitivity of typical ecologically fragile areas, a series of human life, mining, and other activities have a greater impact on the environment. In this study, three coal mines in Ordos City on the Loess Plateau were selected as the study area, and the pollution levels of heavy metals in the area were studied by measuring As, Hg, Cr, Cd, Cu, Ni, and Pb in the soil of 131 sampling points. Combined with the concept of “co-occurrence network” in biology, the level of heavy metals in soil was studied using geostatistics and remote sensing databases. The results showed that the concentrations of Hg, Cr, Ni, Cu, and Pb in more than half of the sampling points were higher than the local environmental background value, but did not exceed the risk control value specified by China, indicating that human factors have a greater influence, while Cd and As elements are mainly affected Soil parent material and human factors influence. Heavy metal elements have nothing to do with clay and silt but have an obvious correlation with gravel. Cd, Pb, As and Ni, Cd, Cr are all positively correlated, and different heavy metals are in space The distribution also reflects the autocorrelation, mainly concentrated in the northeast of the TS mining area and the middle of the PS mining area.

Facial Ganglia - Anatomy, Symptomatology of Lesions and Biological Relevance

2021 ◽  
Vol 53 ◽  
pp. 41-50
Author(s):  
Ilya Lebedev ◽  
Alexander Bragin ◽  
Yulia Boldyreva ◽  
Artem Borsukov ◽  
Alexander Tersenov ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Facial Pain ◽  
Multidisciplinary Approach ◽  
Human Life ◽  
Cranial Nerves ◽  
Living Organism ◽  
Sympathetic Ganglia ◽  
Historical Background ◽  
Brain And Spinal Cord ◽  
The Brain

The article summarizes information about the head ganglia (the sympathetic ganglia and in the sensory cranial nerves). Gives а brief historical background on the history issue and relevance of the topic. Characterized by each node with its topography and lesion clinic. The described process of treatment, and prospects for new therapies. Raised the issue of the significance of the defeat ganglia, namely, the suffering of the sick and forced treatment costs (due to the complex differential diagnosis). In a biological sense, pain first appears in chordates and during evolution, as well as transformations of the brain and spinal cord, it acquires new types, localization and significance for the performance of a living organism. And facial pain, being a nosology with a multidisciplinary approach in diagnosis and treatment, demonstrates both its complexity and importance in human life.

CALCULATION OF THE PARAMETERS OF THE WIND TURBINE ROTOR TEMPERATURE SENSOR

2021 ◽  
Vol 118 (3) ◽  
pp. 141-149
Author(s):  
Alina Fazylova
Keyword(s):  
Wind Turbine ◽  
Temperature Sensor ◽  
Wind Farms ◽  
Turbine Rotor ◽  
Correct Selection ◽  
Temperature Control System ◽  
Working Pressure ◽  
Generator System ◽  
Wind Generator ◽  
The Brain

Today, all the processes associated with technology, mainly operate in autonomous modes, so devices such as a temperature sensor are a must. Since technical progress is taking place in industry and production by leaps and bounds, all equipment most often used in various kinds of processes and work has an automatic principle of operation [1] However, for productive work, albeit automated units, it is necessary to comply with all the exact indicators at which the device's performance will be the highest. These indicators include values, namely the required, more precisely, the working pressure, speed, and temperature. To prevent rapid wear and overload of automated equipment, the temperature level must be measured. Of course, this is not done with a simple thermometer or thermometer. For these purposes, special devices are used, such as temperature sensors. Wind power is one of the most important renewable energy solutions. As a rule, wind farms are located far from civilization, in remote regions - in hilly areas, on the sea coast [2]. These types of terrain are chosen because wind energy becomes profitable only under conditions that allow obtaining the maximum amount of wind throughout the year. However, the harsher environment calls for more sophisticated wind turbines, usually consisting of towers, blades, hubs and nacelles. To ensure control over all parts of the wind turbine, companies install controllers near the tower. A wind generator controller, like a PLC, is the brain of any wind generator, providing control over the system as a whole, the ability to generate reports and monitoring. The generator must be controlled and programmed; without a controller, it couldn't work correctly. For this reason, the controllers must be connected to a single system for remote monitoring, power generation reporting, parameter monitoring and diagnostic maintenance [3].This article provides an algorithm for calculating a temperature sensor for its correct selection for a wind generator system, which will subsequently be used for a temperature control system in a generator system.

Detection and monitoring of fire and gas leakage systems in industries

2018 ◽  
Vol 7 (2.8) ◽  
pp. 419
Author(s):  
K Geetha ◽  
P Prabha ◽  
C Preetha Devi ◽  
S Priyadharshini ◽  
S Tamilselvan
Keyword(s):  
Temperature Sensor ◽  
Traditional Method ◽  
Automatic System ◽  
Continuous Monitoring ◽  
Low Cost ◽  
Fire Detection ◽  
Wireless Sensor ◽  
Quality Service ◽  
Fire Monitoring ◽  
Gas Leakage

Now a days, Industries are more equipped with automatic system. Fire monitoring is one of the applications where continuous monitoring of temperature and humidity is essential to detect the fire in the industry. Fire detection is very much necessary to protect both the industry and to conserve environment and livelihood of human. This paper presents an algorithm to detect the fire in the industry based on ZigBee and GPRS wireless sensor network which provides low cost, low maintenance and good quality service when compared with the traditional method. The hardware circuitry of proposed solution is based on microcontroller, temperature sensor along with ZigBee and GPRS modules.

LANGUAGE AND WILLIAMS SYNDROME

2008 ◽  
Vol 28 ◽  
pp. 191-204 ◽  
Author(s):  
Ching-fen Hsu ◽  
Annette Karmiloff-Smith
Keyword(s):  
Williams Syndrome ◽  
Cognitive Processes ◽  
Language Production ◽  
Developmental Disorders ◽  
Human Life ◽  
Initial State ◽  
Functional Brain ◽  
Functional Brain Networks ◽  
Overt Language Production ◽  
The Brain

Most aspects of human life—from gene expression, to brain structure/function, to underlying linguistic and cognitive processes, through to overt language production and comprehension behaviors—are the result of dynamic developmental processes, in which timing plays a crucial role. So, the study of language acquisition in developmental disorders such as Williams syndrome (WS) needs to change from the still widely held view that developmental disorders can be accounted for in terms of spared versus impaired modules to one that takes serious account of the fact that the infant cortex passes from an initial state of high regional interconnectivity to a subsequent state of progressively increasing specialization and localization of functional brain networks. With such early interconnectivity in mind, developmental neuroscientists must explore the possibility that a small perturbation in low-level processes in one part of the brain very early in development can result in serious deficits in higher-level processes in another part of the brain later in development. Therefore, in profiling developmental disorders of language such as in WS, it is vital to start in early infancy, from which to trace the full trajectory of the interactions of language and other cognitive processes across infancy, toddlerhood, and childhood, through to adolescence and adulthood.

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