In the process of oilfield development, due to changes in water injection adjustment, formation sand production, and formation pressure drop, the liquid production and dynamic liquid level of the oil well changes. It ...
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In this study, we present a novel method for synthesising zinc oxide nanoparticles (ZnO NPs) from the dried Caesalpinia sappan seeds powder. Comprehensive characterisation using XRD, FTIR, SEM, and EDX techniques was ...
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A new seven-parameter BRDF model inspired by five-parameter BRDF model and fourteen-parameter BRDF model was developed. A retro-reflection part due to the back-reflected was introduced in the seven-parameter BRDF mode...
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Cultural heritage faces many challenges. This article aims to explore the combination of computer-aided design and virtual reality technology to achieve digital protection and reproduction. By reviewing relevant resea...
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作者：
Iida, KenjiSakai, TaijiFICT LIMITED
Research & Development Group Advanced Technology Development Department 36 Oaza Kitaowaribe Nagano Nagano-shi381-8501 Japan
Berthing accidents are serious problems that can cause damage to the ship and port facilities. Accident prevention and management are critical challenges in port operations and maritime safety. This study proposes a s...
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Infrared thermography technology is a noninvasiveness and real-time imaging method, it has attracted enormous attentions for blood flow imaging. However, the implementation of infrared thermography technology is still...
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Infrared thermography technology is a noninvasiveness and real-time imaging method, it has attracted enormous attentions for blood flow imaging. However, the implementation of infrared thermography technology is still limited by the poor imaging quality caused by the low temperature discrimination between the target blood vessel and background. Herein, we reported a flexible and low-cost MXene based photothermal microheater for enhancing the infrared imaging of blood flow. In the experiment, MXene films with specific thickness was prepared by vacuum filtering different concentrations of MXene colloidal solutions. Thereafter, the microheaters were fabricated by assembling the MXene films on the PU tape/PDMS substrate, and then sealed with another layer of pure PDMS film on the top of MXene film. The photothermal performance of the microheaters were evaluated by using an 808-nm laser as the exciting source. Experimental results show that the optimal microheater（MXene content: 17.5 mg） can reach a safe temperature of 41.5°C with 43.9 s under the light irradiation of100 mW·cm-2. Moreover, it can be stabilized at the equilibrium temperate for over 25 min. Finally, the above optimal microheater was used to accurately heat the simulated blood vessel. It shows that temperature difference of 3.3°C can be induced between the heated blood vessel and environment. As a result, it significantly enhances the quality of the infrared imaging of the blood flow in the simulated vascular network.
Predicting rolling bearing fatigue life requires knowledge of the three-dimensional(3D)stress fields in the roller and raceway near the lubricated *** to the increasingly severe operating conditions,the effect of loca...
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Predicting rolling bearing fatigue life requires knowledge of the three-dimensional(3D)stress fields in the roller and raceway near the lubricated *** to the increasingly severe operating conditions,the effect of localized features such as surface roughness,subsurface inclusions,and even the crystallographic structure of the material becomes *** such detail requires(locally)extremely dense gridding in simulations,which in 3D is a major *** techniques have been demonstrated to be capable of solving such *** this study,multigrid techniques are shown to further increase the efficiency of the solution by exploiting local grid refinement while maintaining the simplicity of a uniform *** is achieved by employing increasingly finer grids only locally,where the highest resolution is *** are presented for dry contact and elastohydrodynamically lubricated contact cases,circular as well as elliptic,with varying crystallographic structure,and with surface *** results show that the developed algorithm is very well suited for detailed analysis,with also excellent prospects for computational diagnostics involving actual material crystallographic structure from electron backscatter diffraction measurements.
Nowadays,ensuring thequality of networkserviceshas become increasingly *** are turning toknowledge graph technology,with a significant emphasis on entity extraction in the identification of device *** research paper p...
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Nowadays,ensuring thequality of networkserviceshas become increasingly *** are turning toknowledge graph technology,with a significant emphasis on entity extraction in the identification of device *** research paper presents a novel entity extraction method that leverages a combination of active learning and attention ***,an improved active learning approach is employed to select the most valuable unlabeled samples,which are subsequently submitted for expert *** approach successfully addresses the problems of isolated points and sample redundancy within the network configuration sample *** the labeled samples are utilized to train the model for network configuration entity ***,the multi-head self-attention of the transformer model is enhanced by introducing the Adaptive Weighting method based on the Laplace mixture *** enhancement enables the transformer model to dynamically adapt its focus to words in various positions,displaying exceptional adaptability to abnormal data and further elevating the accuracy of the proposed *** comparisons with Random Sampling(RANDOM),Maximum Normalized Log-Probability(MNLP),Least Confidence(LC),Token Entrop(TE),and Entropy Query by Bagging(EQB),the proposed method,Entropy Query by Bagging and Maximum Influence Active Learning(EQBMIAL),achieves comparable performance with only 40% of the samples on both datasets,while other algorithms require 50% of the ***,the entity extraction algorithm with the Adaptive Weighted Multi-head Attention mechanism(AW-MHA)is compared with BILSTM-CRF,Mutil_Attention-Bilstm-Crf,Deep_Neural_Model_NER and BERT_Transformer,achieving precision rates of 75.98% and 98.32% on the two datasets,*** tests demonstrate the statistical significance and effectiveness of the proposed algorithms in this paper.
In order to make full use of the energy provided by the electromagnetic device during the launch of the launch vehicle, an integrated optimization design of the overall parameters/flight trajectory of the electromagne...
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