Browsing by Author "Samarasinghe, P."

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    A smart system based on wireless sensor network for monitoring and controlling mushroom growing conditions
    (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Fernandopulle, K.H.; Gunathunga, N.P.; Ranasinghe, R.D.D.P.; Ireshika, V.P.P.; Samarasinghe, P.; Jinasena, T.M.K.K.
    The word mushroom may mean different things to different people in different countries. Mushrooms can be used as food, tonics, medicines, cosmeceuticals, and as natural biocontrol agents in plant protection with insecticidal, fungicidal, bactericidal, herbicidal, and nematocidal activities. Plant growth is affected by various factors. The most important factors for the quality and productivity of plant growth are temperature, humidity and light. This research presents the design and implementation of a smart system based on the wireless sensor network for monitoring and controlling mushroom growing conditions for farmers. The system contains five main units; namely sensing, transmission, decision making, controlling and monitoring. The system contains two main unit named as transceiver unit and receiver unit. The humidity sensor, temperature sensor and soil moisture sensor measure current environment condition and send the sensed value to the receiver unit using ZigBee. Then the ZigBee module which contains in the receiver unit receive the sensed value and gives to the Arduino board. Then Arduino board compares sensed value with pre-set value and ON or OFF pump, fan and heater automatically as well as send the SMS to farmer’s mobile phone using Global System for Mobile Communication (GSM) module. Therefore, farmer is able to monitor the mushroom cultivation room in remotely instead visiting the mushroom cultivation room and can save time and labor which is needed to cultivate mushrooms.
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    A wireless sensor network based autonomous logistic trolley system for factory automation
    (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Perera, M.S.H.; Prasadini, M.M.N.; Karunarathne, C.N.; Chathurangi, M.; Samarasinghe, P.; Jinasena, T.M.K.K.
    This paper presents the low cost autonomous logistic trolley for factory automation. Automation can be defined as the technology by which a process or procedure is performed without human assistance. Factory automation has automated the factory manufacturing process without human interaction. It will increase the efficiency of the manufacturing process, make the process highly accurate and because of less man power it will increase the revenue margin of the factory. The system primarily consists of a Arduino Uno board, ultrasound sensors, infrared proximity sensors, Bluetooth modules, DC motors, and Servo motors. This system mainly includes obstacle detection, line tracking, Bluetooth request transferring technologies and motion control technologies. This trolley is called up by a production desk of the factory if materials are needed, by sending a request. Trolley automatically deliveres the material to that exact production desk using its infrared sensors that are placed at both left and right sides of the vehicle. This can be used to identify each production line. This proposed autonomous trolley was experimented in different methods. It showed very accurate and successful results. This kind of autonomous trolley provides a wide range of benefits to a manufacturing process in a factory. This autonomous logistic trolley is low cost, less complicated and will increase efficiency of the manufacturing process of a factory.