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One can look for an alternate development of the theory by starting with different primitive concepts or different axioms. It presents a collection of concepts and a body of statements in the Euclidean theory. This chapter discusses the projective geometry as an abstract theory, self-contained and independent. These results motivate the development of an alarm system that only uses the RSSI statistics to detect human presence. However, during the afternoon, the RSSI signal strength fluctuated by − 1.0 dBm. Our results show that the RSSI average values for both morning and night were practically the same. Besides that, to justify the efficiency of system performance, we also examined the sensitivity of RSSI values towards the variation of temperature. Based on the RSSI values, we found that there are distinctive features of data that can be utilized as flags for classifying the three above conditions. The RSSI measurement was repeatedly conducted for three different conditions, in an empty room, with the presence of a single intruder and the presence of multiple intruders.
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With a suitable coordinate of sensor nodes, a WSN telemetry could be established to minimize the blind spot area and limit the movement of the intruder with a minimum area of 0.2 m2. The system was developed using 20 of ESP8266-12F Wi-Fi modules transmitters and another 2 of ESP8266-12F as the access points located in 3 m × 3 m area of interest. Instead of using closed-circuit television as the existing security platform, this indoor safety system was improved with a convenient, cheap, and low-power solution. This paper presents an analysis of the received signal strength indicator (RSSI) from the radio frequency signals for human identification in an indoor wireless sensor network (WSN).
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In conclusion, this study offered a new finding on the tomography approach to localize the rice MC in a whole silo. Gaussian algorithm scored the highest MSSIM index for all phantoms' features. The reconstructed images were analyzed using the Mean Structural Similarity Index (MSSIM). In this study, eight different phantoms' position and size have been tested. The mapping of the RSS in terms of RTI tomogram was reconstructed by three proposed image reconstruction algorithms which are linear back projection, filtered back projection and Gaussian. The efficiency and accuracy of the localization of moisture distribution in the rice silo can be investigated by mapping the strong and weak received signal strength (RSS), where different colors in the tomogram represent the changes in moisture distribution. By using the tomography method, one can assess the rice MC in the whole silo. This research intends to reconstruct a Radio Tomography Imaging (RTI) of the rice MC.
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Currently, the assessment of rice MC is based on a sampling and single point measurement, and so far, there is no available method for the overall measurement of the MC in a rice silo. Inaccurate MC measurement leads to lower head rice, extra drying cost, and a loss of quality, whereas spoilage and harvesting losses if the paddy is harvested wetter than necessary. Accurate MC testing is essential for managing and selling the paddy and rice, depending on the marketing goals. Moisture content (MC) is the weight of water contained in rice and other grains expressed in percent.
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