Archive of

Advanced Engineering Science

Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-05-10-2023-636

Abstract : Rice, being a staple food in several Asian countries, contributes to approximately 10% of green-house gas (GHG) emissions during its cultivation. Furthermore, nitrogen fertilization increases the accumulation of GHG emissions. This study aims to investigate the GHG emissions (CH4 and N2O) resulting from the common fertilizer variations used by farmers in Indonesia for two rice varieties, Way Apo Buru and Inpari 32, and their relationship to rice yield. The research was conducted from August to November 2022 in an open field located at Jember, Indonesia. Two rice varieties, Inpari 32 and Way Apo Buru, were employed in this study. Fertilization variations in-cluded: Urea, ZA, SP-36, KCl (250:100:50:50 kg ha-1) (P1); NPK (16:16:16). Urea, ZA (225:175:100 kg ha-1) (P2); NPK (12:12:17), Urea, ZA (175:150:100 kg ha-1) (P3); and NPKS (P1) + manure fertilizer 5 tonnes ha-1 (P4). In this research, Inpari 32 rice achieved greater yields while also exhibiting higher global warming potential. Applying NPKS fertilizer in combination with 5 tonnes ha-1 of manure fertilizer (referred to as P4), resulted in a substantial increase in rice yield compared to alternative fertilizer formulations. The various inorganic fertilizers had a relatively similar influence on growth, production yield, and greenhouse gas emissions (CH4 and N2O). However, the fertilizer NPKS and 5 tonnes manure fertilizer resulted in the lowest CH4 emissions and global warming potential values..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-04-10-2023-634

Abstract : In this work, we propose combining Transweather method with YOLOX to form a single encoder to be used as an application in autonomous cars. The new Transweather-YOLOX (Tw-YOLOX) encoder takes as input images which are degraded due to foggy weather conditions. A new dataset of images is proposed to be used as a benchmark for this research. Four groups of foggy images are processed. The four are Landscape, Trips, Night images and Real view images. Images are collected from the internet to create three groups namely Trips, Night and Landscape images. For each image, two versions are created using Photoshop which are the ground truth original image and the foggy input image. The proposed method predicts the clear image from the degraded foggy one and detects the objects found in the image. Results show success in the detection of objects with almost equal success to that achieved for those which are ground truth ones. An unconventional simple method is used to describe the success of the encoder in producing images that resembles the original ones such as histograms. Enhancement in the clarity of the foggy input images is evaluated using two parameters namely: Recall percentage and Average (Avg) percentage of accuracy. Using the proposed encoder, both parameters have improved for the predicted output images when compared to the foggy input ones. The ground truth clear images are used as a reference to evaluate the success achieved. Finally, the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) parameters are used to compare the performance of the proposed method with that of the Transweather method. For the proposed method, the PSNR value is 26.8 and the SSIM value is 0.88, which are almost equal to those of the Transweather method..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-29-09-2023-633

Abstract : This article attempts to investigate algebraic properties related to real valued horizontal quasi-continuous functions pertaining to first variable. This attempt is meant to introduce notions of upper and lower horizontal quasi-continuous functions of the first variable. Examples are provided wherever necessary. A few results on the uniform limits of horizontal quasi-continuous functions by considering the first variable..
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