We have developed a wide frequency range affordable optical chopper system from 10-550 Hz. It is a self-contained prototype built using 3D design and printing and arduino uno. The system consists of six chopper wheels...
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Automation the process of monitoring the garden can transform garden irrigation process from being manual and static to smart and dynamic one. This leads to higher comfortability, water using efficiency and less human...
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ISBN:
(纸本)9781510881679
Automation the process of monitoring the garden can transform garden irrigation process from being manual and static to smart and dynamic one. This leads to higher comfortability, water using efficiency and less human supervision effort. This paper proposes a cloud based Internet of Things (IoT) smart garden monitoring and irrigation system using arduino uno. The watering requirement for a plant can be adjusted by monitoring the soil moisture. Measuring the soil moisture of the plant gives information if the plant is ideally watered, over watered or under watered. The proposed system monitors and maintains two quantities of the garden, the garden soil moisture content and light intensity. This is done using soil moisture sensors and light intensity sensor. The monitored data is sent continuously to ThinkSpeak IoT cloud. In the cloud the data gathered from the system is analyzed and when a target threshold of soil moister is reached, an action is sent accordingly from the cloud to the garden automatic watering system to irrigate the garden. arduino uno microcontroller is used to implement the system control unit. IoT is used to keep the garden owner updated about the status of the sprinklers. Information from the sensors is regularly updated on a ThinSpeack IoT cloud and the user can check the water sprinklers status at any time. In addition, the sensor readings are transmitted to a ThingSpeak channel to generate graphs for analysis.
BackgroundThere is a rising issue of pollution in the atmosphere. Particulate matter, CO, CO2, NO, NO2, ozone etc. are causing adverse impacts to the surrounding and the well-being of every individual living across th...
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BackgroundThere is a rising issue of pollution in the atmosphere. Particulate matter, CO, CO2, NO, NO2, ozone etc. are causing adverse impacts to the surrounding and the well-being of every individual living across the entire globe. Therefore, there is a stringent need to be aware of these atmospheric pollutants for safeguarding the quality of air that we human being breathe *** this work, we integrate microcontrollers like arduino uno and Raspberry Pi along with the primary measuring sensors like ozone sensor and PM7003 sensor for carrying out characterization of air quality and variability investigation of several traits/parameters by including but not limited to temperature, pressure, humidity, PM1, PM2.5, PM10, and ozone. By deploying arduino uno, Raspberry Pi and other miscellaneous components, we developed an interactive and effective method for collecting practical data corresponding to the quality of *** and discussionFirst, we present our experimental set-up along with its observations made using the set-up for the several parameters considered for measuring the air quality. Then, we present the graphical comparative study of traits/parameters like temperature, pressure, humidity, PM1, PM2.5, PM10, and ozone. Then, we present the summary of observations made for the major pollutants for characterization of air quality and variability investigation. Then, we carry out the case study using three different types of sensors like temperature, MQ2, and MQ4 sensors as an extension of the major segment of our work. Finally, the performance validation of measurement was done using four common performance indicators.
Dopamine, one of the most important neurotransmitters, plays a crucial role in the functions of human metabolism, as well as the cardiovascular, central nervous and hormonal systems. This study focuses on the synthesi...
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Dopamine, one of the most important neurotransmitters, plays a crucial role in the functions of human metabolism, as well as the cardiovascular, central nervous and hormonal systems. This study focuses on the synthesis of nanostructured silver chromate and their application in dopamine sensing. The nanoparticles were synthesized using a complexation-mediated route using aminosalicylic acid as a stabilizer, resulting in uniform particles ranging from 3 to 15 nm in size. The synthesized silver chromate was characterized using X-ray diffraction, transmission electron microscopy and X-ray photoelectron spectroscopy techniques. Electrochemical studies revealed that the silver chromate exhibit excellent catalytic activity for the detection of dopamine. The electroanalysis provided the selective recognition of dopamine with the limit of detection of 1.05 mu M and sensitivity of 2.68 mu A mu M- 1 cm- 2 in a linear range of 5-45 mu M. Additionally, a portable, IoT (internet of things)-integrated sensor based on the synthesized silver chromate was developed using arduino uno R4 Wi-Fi module, enabling real-time monitoring of dopamine with data transmission to a cloud platform.
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