Archive of

Advanced Engineering Science

Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-10-10-2022-351

Abstract : Push-off tests are being used to experimentally investigate the shear performance of concrete construction joints as part of ongoing study to improve the bond between old-new concrete using reactive powder concrete and reinforcement. Using different types of interfacing, including use of water jet, dowel bars, grooved joint (triangle, rectangle, circle), In addition, cases without any construction joint were also considered as a reference. Shear strength, failure mechanisms, and load-displacement responses were studied as key parameters determining the shear performance of a single construction joint. Experimental results show that the grooved geometry greatly affect shear performance..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-07-10-2022-349

Abstract : Zero-Shot Learning (ZSL) is a model training methodology where a model can predict at testing what is not learned during training. ZSL is effective when the features are learned from both images and text, mapped using different techniques to enable the model to categorize the images. ZSL is useful when we need to learn an intermediate semantic layer and an inference layer to predict the unseen classes during testing. ZSL also has several flavours of model learning. The feature learning can be broadly categorized into three in terms of the semantic space, the visual space, and the ZSL model space. The semantic space focuses on aligning the semantic attributes with class labels. The visual space extracts the features from the seen images using pre-trained networks. Transfer learning in semantic space and visual space is discussed in detail in this paper. The ZSL model space focuses on learning the relationship between the visual space and the semantic space. In inductive ZSL, only the data of the source classes are accessible during the training stage. But for the transductive ZSL strategies, both the labelled source data and the unlabelled target data are accessible for training. Generalized zero-shot learning is an extension of ZSL where the images that are to be predicted at test time contain both seen and unseen classes. This survey highlights the different hierarchies in the three areas and highlights the comparison between the different techniques and the future trends on ZSL..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-05-10-2022-346

Abstract : This study examines the feasibility of using recycled tire chips in replacing the percentage of subgrade soils in the construction of roads and airport projects. To determine the impact of waste tire rubber inclusion and cement stabilization on the geotechnical properties of loose subgrade sand soils, a laboratory testing program was conducted. As a chemical stabilizer to enhance the soil's strength properties, 10% of the cement was added to the mix. The cemented-sand mixtures were then treated with varying amounts of 0.5 to 2 cm-sized rubber tire chips. A modified Proctor test, an unconfined compressive strength test, and a California bearing ratio test were all performed in the lab. All samples of the cemented-sand-tire-chips mixes performed 1, 3, and 7 days of curing. The results of experimental results indicate that increasing the cement concentration significantly enhances the soil's strength, bearing resistance, and brittleness behavior. Additionally, the findings showed that when tire chips replacement increases, dry density, unconfined compressive strength, stiffness, and soil bearing resistance all decrease. The geotechnical characteristics of cemented-sand soil combinations, however, are improved by adding 5 to 10% tire chips, compared to those of poor natural subgrade soils. As a result, adding cement and tire chips to loose subgrade soils may lower the cost of stabilizing the process and lessen the environmental impact of trash tire scrap..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-03-10-2022-345

Abstract : Due to numerous technical flaws, security concerns are increasing day-to-day. Security in Wireless Sensor Networks is the most dangerously weak effect. One of Wireless Sensor Networks' security issues is disturbances or intrusions. A hacker with access to the network has the ability to stop the entire flow process. In this instance, it's important to comprehend the device's intruder's function. The best technique for assessing and recognising threats that harm the entire network is intrusion detection. In order to achieve effective communication and as a result, to recognise any type of attack that affects the entire network, the intrusion problem requires recognising and restoring protection among nodes. The current work suggests a defect node identification technique to recognise intruders in a wireless sensor network when a few of the permitted sensor nodes halted. After optimization, the technique can result in fewer sensor node replacements and more data transmission reuse. We propose a novel technique called as key assisted monitoring approach for detection of fault nodes. According to our simulation, the suggested work increases the number of dynamic nodes by up to several times, reduces the rate of information loss by about half and can slow down the rate of energy vitality consumption by network performance parameters..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-03-10-2022-343

Abstract : The purpose of this research is to develop a dynamometer to measure the cutting force in the lathe process of brittle rock material. The dynamometer will measure the cutting force, feed force and axial force using a strain gauge sensor. The process design steps include: manufacture of dynamometers, manufacture of electronic circuits, process calibration and testing on brittle materials of rock. The calibration of the dynamometer is carried out with a universal testing bending machine and a universal dividing head clamping device to adjust the dynamometer in horizontal and vertical positions with the load increasing from 0 to 20 kg. The dimensions of the dynamometer are 190 mm x 40 mm x 40 mm and can measure cutting force, feeding force and axial force simultaneously. From the results of the dynamometer calibration, R2 is obtained for the cutting force of 98.7%, R2 for the axial force of 85.1% and R2 for the feeding force of 82.6% while in the cutting force of the rock material it is obtained: the maximum cutting force of 80.6 N, the maximum axial force of 5.1 N and maximum feeding force of 11.9 N..
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