Abstract : The threat of plastic waste is very dangerous due to the increasingly widespread use of plastic and the uncontrolled disposal of plastic waste. Almost everywhere there is a pile of plastic waste that has no processing or recycling. If left unchecked, this can result in various pollutions to the environment and living things. One way to reduce the use of plastic is by developing bioplastic materials, namely biodegradable plastic materials which are certainly more environmentally friendly. In this study, bioplastics were made from a mixture of tapioca starch and corn starch reinforced with chitosan. Bioplastics are made with various weight percentages, tapioca starch and corn starch 70:30, 60:40, and 50:50 and how they affect the fire resistance properties. Based on the test results, the highest combustion rate and the highest weight loss occurred in bioplastics with a weight fraction ratio of 50:50, namely a mixture of tapioca starch and corn starch with balanced proportions, which was 8.4208 mm/second and 0.0346 gr/second, while the lowest combustion rate and the lowest rate of weight loss occurred in bioplastics with a weight fraction ratio of 70:30, namely the tapioca starch mixture was larger than corn starch with a proportion of 70:30, 6.0857 mm/second, and 0.0306 gr/second..
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Abstract : Given the great progress that ERP (Enterprise Resource Planning) have had worldwide, in this article the factors that affect the success in the implementation of ERP in metal mining companies in the Atacama Region are determined. Mining activity is one of the most relevant in this area, and in Chile in general, which arouses interest in analyzing technological adoptions in this industry. From the literature review, 8 variables are extracted that determine the success in the implementation of the ERP, with them, 12 companies in the metal mining sector are surveyed. Through the Factor analysis technique and with the use of the statistical software "Statgraphics", 4 factors were obtained that group the variables and explain the success in the implementation of ERP. Next, the regression model selection method is applied in the same software to obtain the factors with the minimum residual error and reduce the number of coefficients. AIC, HQC, SBIC Information Criteria, the adjusted coefficient of determination R squared, Mallows’s Cp and MSE are used, all these optimization criteria match, obtaining a significant adjustment value in the model, ultimately leaving 3 factors, defined as; “Quality of the business management system”, “reinvention” and “Business plan”. Finally, in this industry, the factor analysis concludes that the model determines the success in the implementation of an ERP system with an adjusted R squared of 82.4% and the regression analysis concludes that it does so in 86.4%..
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Abstract : Vehicle crashes on road increases day by day. According to the ASIRT on average minimum 3287 people lose their life in road accident. There are several parameters which lead to the road accident in which driver activity is one of the significant parameters. Due to sleep disorder and driver dullness during driving will lead to the road accidents. To overcome this problem and to monitor the driver activity a driver drowsy alert system is designed. A number of researches are conducted on the alert system to give best system response. In proposed work we implemented a driver drowsy monitoring system, in which a high-resolution camera is fixed in front of the driver which continuously record and monitor the driver eye movement. The module is designed by using Histogram of Oriented gradients (HOG) and Haar cascade face detection algorithm. Regression tree method is included to point out the eye region and its position. Once the eye region is obtained pupil is detected and tracked using gradient method and kalman filter. The module is implemented in visual studio 2015, by using C++, Open CV and Dlib library function. The code is ported on Renesas R CAR E2 SILK platform. The system generates the warning signal when driver close his eye more than predefined and when he/she distracted from the proper position..
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Abstract : Flight parameters are an important element in producing an accurate photogrammetric product. The different settings for the flight parameters especially in a low altitude photogrammetry flight mission can have a significant impact on the results. Therefore, a comprehensive analysis on flight parameters is needed to guide industry practitioners in utilizing the correct settings during flight missions. The aim of this study is to analyse the impact of different flight planning settings such as altitudes as well as overlap and sidelap percentages. The multirotor drone was used to capture the aerial images at the selected study location. The images were captured from three different altitudes with three different overlap and sidelap percentages. The error analysis was performed to identify the effect on altitudes as well as the overlap and sidelap percentages in this study. It was found that a lower altitude requires less overlap and sidelap compared to a high altitude. The standard deviation range of a good combination for XY coordinate is +0.066m to +0.091m while the Z coordinate is +0.031m to +0.045m. In conclusion, the selection of overlap and sidelap percentages depends on the flight altitudes. High precision photogrammetric results can be obtained if the correct procedure has been followed..
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Abstract : Temperature records showed differences in the magnitude between urban and suburban, which usually urban areas show greater magnitudes than rural areas. The variance in temperature is called Urban Heat Island phenomena. In this study, small area respective to population rate was chosen as a case study to seek the impact of measuring times on UHI in Saif Saad district - Karbala city /Iraq. Study methodology is selecting three points at both urban and suburban areas to show the impact of two measuring times: one at the midday and the other is immediately after sunset. This study mentioned that there is a fluctuated in air temperature at 1.5 m above the ground at daytime but there is a stable temperature at night time. Respective to UHIs magnitude, there is significant values of urban heat island at both urban and suburban areas with both measuring times on day and night times. Generally, urban area is warmer than suburban area by increasing temperature value of 2.38oC. Study conclusions are air temperature magnitudes at small urban area are always greater than suburban area along winter season. Also, small areas likely quarters have severed from Urban Heat Island phenomena, which could because UHI values were observed at both daytimes and night times. Measuring times close to the midday hour and just after the sunset appear the precise values of UHI. Therefore, city planner and designers should put these times within scheduling measuring times to record temperature at urban and suburban areas..
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