1,720,966 research outputs found
Zigbee Based Smart Farm Data Logging and Monitoring System
No full textAn agricultural environment monitoring system provides monitoring services and facility controlling services. This system maintains the crop growth rate in an optimal status. This system also reduces the manpower, time consumption and improves the convenience. The existing monitoring systems are used in indoor only or short distance wireless communication technology Wi Fi from sensor nodes to remote center. In addition, the users want to reduce the cost for checking the monitored information in Local Area Network of Smart Farm campus without using the internet access. In order to solve these issues, the agricultural monitoring system must be designed such a way that can monitor environmental information and soil information closely and reports the status to remote location in LAN. The main object of this research is to investigate the development of a low cost remote soil moisture monitoring system by deploying sensors, which can be used in a Zigbee mesh network. This sensors node send data via Zigbee transmitter wirelessly to a Zigbee receiver connected with main computer, which collects the data, stores it and will allow it to be analyzed. This data can be displayed as needed using GUI in VBA and can also be monitored by the clients in LAN. Swe Swe Aung | Naing Kyaw Soe "Zigbee Based Smart Farm Data Logging and Monitoring System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18295.pd
Livelihood Strategies of Boatmen Living in Samarduwar Ward, Seikkyi Khanaungto Township Economic Anthropological Perspective
Get PDFAccording to historical evidence, Samarduwarr ward has been existed since 1972 and people in this ward are making a living by relying on Yangon River and Khanaungto creek. Since this ward mainly use waterway, the roles of boatmen are important. The specific objectives of this study are to explore their livelihood strategies, to examine their concept on safety life, to analyze which ways are suitable for their sustainable development and poverty alleviation in Seikkyi Khanaungto Township, Yangon Region, Myanmar. This thesis was used qualitative research method, informal interview (II), focus group discussion (FGD), and key informant interview (KII). In this thesis, boatmen has to be skillful not only about engine but also about water way. Besides, it is learnt that experience and right decision making skill are needed to overcome the sudden danger successfully. Moreover, some people are observed standing at the front motorboat, sayingprayers of their respective religion to feel secured and wish for safety. Boatmen include in daily wages laborers and they struggle their lives using their own motorboats as their capital. They have a lot of difficulties to give member fees for their line. When they do not have any saving, they have to borrow money with interest rate is too high. Moreover, since they need to do some repair for their boats once in six month, majority of boatmen have to borrow money and do it. Since their daily wages hardly cover their family basic needs, they solve their family need by doing some work from which they could earn more money in their free time. It is difficult for the boatmen’s children to finish high school. Therefore, the children quit school to support their family needs after they have finished their primary school. Therefore, it is observed that boatmen’s children have a lot of difficulties to go to middle school even. By observing this, it is learnt that boatmen emphasize on social and religious affairs in their lives. It is observed that boatmen solve their socio-economic needs by using their social capital mainly
A study on advanced applications of machine learning approach and Image processing: traffic, weather, pattern recognition, and noise filtering
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MINING DATA FOR TRAFFIC DETECTION SYSTEM USING GPS_ENABLE MOBILE PHONE IN MOBILE CLOUD INFRASTRUCTURE
No full textThe increasing need for traffic detection system has become a vital area in both developing and developed countries. However, it is more important to get the accurate and valuable data to give the better result about traffic condition. For this reason, this paper proposes an approach of tracking traffic data as cheap as possible in terms of communication, computation and energy efficient ways by using mobile phone network. This system gives the information of which vehicles are running on which location and how much speed for the Traffic Detection System. The GPS sensor of mobile device will be mainly utilized to guess a user’s transportation mode, then it integrates cloud environment to enhance the limitation of mobile device, such as storage, energy and computing power. This system includes three main components: Client Interface, Server process and Cloud Storage. Some tasks are carried out on the Client. Therefore, it greatly reduces the bottleneck situation on Server side in efficient way. Most of tasks are executed on the Server and history data are stored on the Cloud Storage. Moreover, the paper mainly uses the distance based clustering algorithm in grouping mobile devices on the same bus to get the accurate data
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