This study introduces a novel authentication methodology; it is based on pattern recognition of fingers size and pressure when users touch smartphone screen. By analyzing diagrams of these touches and applying data mining for the first time as an authentication technique, this paper presents three new approaches. First, an exact-range evaluation approach has been verified that size is more recognition consistency than pressure. Second, a pattern-range is a new technique reliance on size frequency position. At last, using a size-range has been facilitated the login. The association rules have been modified to work on finger touchscreen data files. To login, 94.1111% of 18 authorized users are succeeded and 98.9% of 20 unauthorized users are failed. Android device and Android studio are used. Size and pressure are normalized to 1; a training set is applied; the password is not considered.
Nonlinear system identification modelling for the temperature of photovoltaic (PV) panel has been conducted in this work. In the beginning, an experimental work has been extracted from previous work in order to collect the input (ambient temperature, humidity, irradiance and wind speed) and output (PV module temperature) parameters. Then, Neural Network time series and Adaptive Neuro-Fuzzy Inference System (ANFIS) models represented as system identification method to predict the temperature of PV panel as an output for the system. Both of modelling methods verified using mean square error (MSE). The effectiveness of all methods has been compared to know which method is the batter. Finally, the achieved results stated that the ANFIS method recorded the lowest MSE of 2.2627*10−7 compared with NARX method which recorded of 5.078. ANFIS technique proved that will be able to use it in the control process in future.
An investigation of the solar distillation using a solar collector with a graduated absorbed surface has been utilized in order to improve the solar still performance. The solar collector is contained on graduated absorbing surface with 25 steps. Absorbing surface made from copper plate and dye by a thermal black pigment to increase the solar absorption. The top of the solar collector is covered by a glass with 4mm of thickness. While, the other side surfaces of the solar collector are made from the transparent plastic with 6mm of thickness. Also, Aperture area of the solar collector was 0.4526 m2. Experiments had been carried out in Baghdad (33.3˚ N latitude) during May in 2019 to investigate the performance of the still. The results appeared the maximum water production that reached up to 486 ml at the time interval between 12.30 and 1.00 pm, while the total thermal solar collector efficiency was 36%. The proposed method succeeded to reduce the TDS from 679 ppm to 39 ppm. for inlet water and outlet pureed water respectively, and the volume distilled water production was 3696 ml for the time from 7.30 am to 4.00 pm.
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