China
Africa
Explore chapters and articles related to this topic
Quest for the sentient robot
Published in Arkapravo Bhaumik, From AI to Robotics, 2018
From the point of view of evolutionary biology, Greenfield [133] attempts to correlate conscious behaviour to brain size of a life form. Her research suggests that there is no consciousness centre, meaning that there is no place in the brain corresponding to generation of consciousness; neither are there any committed neurons or genes dedicated to consciousness. Study of brain size of primates and mammals has also shown that mere size of the brain is not really enough for higher functions, it needs special cognitive modules such as logic, association, concepts of geometry etc. to demonstrate human-like intelligence. Therefore, a computer with very high memory will not suddenly transform into a conscious machine on its own.
Segmentation of the communication tower and its accessory equipment based on geometrical shape context from 3D point cloud
Published in International Journal of Digital Earth, 2022
Jingru Wang, Cheng Wang, Xiaohuan Xi, Meng Du, Pu Wang, Sheng Nie
The advantages and characteristics of the proposed method are mainly reflected in the following aspects: The region growing and RANSAC algorithms can effectively eliminate miscellaneous points such as vegetation and fences around the CT when the CT is segmented. In addition, as long as the geometry of the CT does not change, even if the CT is tilted or inclined at a certain angle, the CT points can still be segmented using the CT segmentation algorithm in this paper.By analyzing the AE’s planar features, ND clustering can effectively cluster the point clouds with smaller differences in normal vector values into one class.The proposed point cloud fill rate can effectively distinguish objects such as lights, holding poles, and lines on the CT that also have the characteristic of small differences in normal vector values from AE.Compared with machine learning methods, the proposed algorithm does not require much training data, does not require high memory for computer operations, and is not influenced by sample imbalance. It can accurately segment different scenes of CTs and AE and has strong robustness.
Combined usage of acoustic emission technique and ultrasonic pulse velocity test to study crack classification in reinforced concrete structures
Published in Nondestructive Testing and Evaluation, 2021
R. Vidya Sagar, Madhurima Dutta
By using JCMS-III B5706 code recommendations which uses two AE parameters namely AF (= ring down counts/duration) and RA (= rise time/peak amplitude) for crack classification in concrete was studied [27]. According to JCMS-III B5706 code, the proportion of AF and RA value are a criterion to classify micro-crack into tensile type or shear type cracks. Researchers proposed AE waveform analysis to study fracture modes in concrete structures by performing simplified green function moment tensor analysis (SiGMA procedure) of AE signals [28]. SiGMA procedure uses recorded AE waveforms; therefore, high memory computer is required for monitoring large RC structures [28,29].
The effect of aperture shape, angle of incidence and polarization on shielding effectiveness of metallic enclosures
Published in Journal of Microwave Power and Electromagnetic Energy, 2019
Ibrahim Bahadir Basyigit, Habib Dogan, Selcuk Helhel
In this paper, an analytical model (Robinson et al. 1998) has been preferred in the calculation of ESE for metallic enclosures with square and rectangular apertures in 0–1 GHz band region. According to (Liu et al. 2014), Robinson’s model can predict ESE of shielding enclosure with apertures faster and more accurately than other methods made by (Hussein 2013; Nobakhti et al. 2014; Solin 2015). The computation time and computer memory for Robinson models are also saved, which are very useful for the engineers that design the metallic enclosure (Wang et al. 2013). On the other hand, there are some limitations in Robinson model as follows: The higher order modes of the electromagnetic field in the cavity, the polarization angle and the incidence angle have been ignored in the model (Hao and Li 2014). Analytical methods can only be applied to very simple geometries (square and rectangular apertures) with the use of approximations while it can be used to analyze the effects of many factors on ESE (Belkacem et al. 2011). Also, the aperture is placed centrally in the front face of the enclosure (Nie and Du 2015). Also it is possible to see some models based on electromagnetic new formulas on ESE in literature (Belkacem et al. 2011; Hussein 2013; Wang et al. 2013; Hao and Li 2014; Karami et al. 2014; Liu et al. 2014; Nobakhti et al. 2014; Nie and Du 2015; Solin 2015; Lei et al. 2007). These models run correctly and efficiently but, do not work properly in structures with much more complex and complex shape. There are also numbers of numerical methods for calculating ESE of enclosures with complex apertures in the literature (Dehkhoda et al. 2008, 2012; Xiong et al. 2012; Azizi et al. 2014). However, these numeric models lead to high memory usage and high CPU time on the computer.