Browsing by Author "Alam, Marzia Ruman"

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    An automatic monitoring and control system inside greenhouse
    (© 2015 Institute of Electrical and Electronics Engineers Inc., 2015) Hassan, Niamul; Abdullah, Shihab Ibne; Noor, Ahmad Shams; Alam, Marzia Ruman
    In this work, we have proposed a framework that can gather the data identified with greenhouse environment and yield status and control the system automatically in view of the gathered data. By throatily observing periodic conditions, this study has the reason for securing connection between sensors flags and reference estimations. Control programming will give information finding of the ongoing show. Through long time running and functional utilizing, the framework has been demonstrated that it has numerous points of interest. To monitor the environment inside greenhouse different parameters have been considered such as light, temperature, humidity, soil moisture etc. using different sensors like DHT22 temperature and humidity Sensor, LDR, grove-moisture sensor etc. which will be interfaced with microcontroller. It is a closed loop system that will execute control action to adjust temperature, humidity, light intensity and soil moisture if any unwanted errors (high/low) occur.
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    Development of biomedical data acquisition system in hard real-time Linux environment
    (© 2012 Institute of Electrical and Electronics Engineers Inc., 2012) Alam, Marzia Ruman; Azad, AKM Abdul Malek
    This paper proposes a data acquisition (DAQ) system for the bio signals which is based on the use of biosensors, signal processing unit, data acquisition card and computing device. The methodologies of developing a biomedical experimental set up for measurement, monitoring, recording bio-signal during animal testing in laboratory is presented. The device will be responsible for getting data through 16 channels. The channels will be connected with the biosensors through which the signals of different biological state (e.g. Electrocardiograph, Blood pressure etc.) of human or animal body will be retrieved. Obtaining the signals from biosensors data acquisition process will be done in a signal processing system and that will convert the resulting samples into numeric values which can be manipulated by the software. The signal data acquisition processing will be accomplished on Hard Real-Time Linux (RT-Linux) environment which will be presented through Graphical User Interface (GUI) developed in non RT-Linux environment. Linking between hard real time and non real time Linux will be done through Inter Process Communication (IPC) between two kernels.