Purchasing of real estate property is a stressful and time-consuming activity, regardless of the individual in question is a buyer or seller. The act is also a major financial decision which can lead to numerous consequences if taken hastily. Therefore, it is encouraged that a person should properly invest their time and money in research relating to price demands, property type and location, etc. It can be a difficult task to assess what real estate property can be considered as the best property to buy. The key idea of the current research study is to create a set of standard rules, which should be embraced to make a smart decision of buying real estate property, based on web scraping technology and machine learning techniques.
Abstract-Internet of Thing (IoT) has been attracting the interest of researchers in recent years. Traditionally, only handful types of devices had the capability to be connected to internet/intranet, but due to the latest developments in RFID, NFC, smart sensors and communication protocols billions of heterogeneous devices are being connected each year. From smart phones uploading the data regarding location and fitness to smart grids uploading the data regarding energy consumption and distribution, these devices are generating a huge amount of data each passing moment. This research paper proposes a data management framework to securely manage the huge amount of data that is being generated by IoT enabled devices. The proposed framework is divided into nine layers. The framework incorporates layers such as data collection layer, fog computing layer, integrity management layer, security layer, data aggregation layer, data analysis layer, data storage layer, application layer and archiving layer. The security layer has been proposed as a background layer because all layers shall ensure the privacy and security of the data. These layers will help in managing the data from the point where it is generated by an IoT enabled device until the point where the data is archived at the data center.
The web has changed everything, and GIS is no exception. Web GIS, as a combination of web and Geospatial information system or science (GIS) has become an evolving discipline. Web GIS provides all GIS functions, including easy access to spatial information, display, storage, editing, management, manipulation, analysis, and sharing of spatial information anywhere in the world at a relatively low cost and easily for end users. Has accepted. In this article, we will discuss the key technology of digital spatial information management system (Web GIS) of digital farms, then we will introduce SFIC. Finally, we design and develop a Web GIS as a management system with the aim of providing a suitable platform for the realization of visual management performance and also evaluating the performance of agricultural farms. This management and monitoring system helps decision makers and professionals to easily make appropriate decisions to increase crop production, management, updating spatial and descriptive farm information, and other related activities. Sahar Web GIS Agricultural Farm Management Spatial Information System helps ordinary and non-expert users to easily access information and improves the necessary measures for making decisions in this field.
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