A Study on the Construction of Tourism E-commerce System Based on Semantic Web Services

This paper presents a novel method of constructing a tourism e-commerce platform based on semantic web services. In order to solve the puzzles of web services discovery, system adaptability, automatically assembling and calling caused by bad system semantic interoperability in tourism e-commerce based on traditional web services, we construct a novel tourism e-commerce system framework based on semantic web services, which uses semantic services layer to replace the representation layer in the traditional model. Experiment proves that the framework owns the superiority of platform irrelevance, system highly seamless integration, high semantic interoperability and intelligence, and can solve the low semantics in tourism e-business system well

CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer

Cross-lingual cross-modal retrieval has garnered increasing attention recently, which aims to achieve the alignment between vision and target language (V-T) without using any annotated V-T data pairs. Current methods employ machine translation (MT) to construct pseudo-parallel data pairs, which are then used to learn a multi-lingual and multi-modal embedding space that aligns visual and target-language representations. However, the large heterogeneous gap between vision and text, along with the noise present in target language translations, poses significant challenges in effectively aligning their representations. To address these challenges, we propose a general framework, Cross-Lingual to Cross-Modal (CL2CM), which improves the alignment between vision and target language using cross-lingual transfer. This approach allows us to fully leverage the merits of multi-lingual pre-trained models (e.g., mBERT) and the benefits of the same modality structure, i.e., smaller gap, to provide reliable and comprehensive semantic correspondence (knowledge) for the cross-modal network. We evaluate our proposed approach on two multilingual image-text datasets, Multi30K and MSCOCO, and one video-text dataset, VATEX. The results clearly demonstrate the effectiveness of our proposed method and its high potential for large-scale retrieval.Comment: Accepted by AAAI202

Chloride Penetration in Surface-Treated Concrete in Natural and Accelerated Environments

This study investigated the chloride penetration of surface-treated concrete in natural and accelerated environments. A part of a real concrete port, including the beams and the columns, was investigated. Concrete specimens cast together with the concrete port were transported to the lab and subjected to wetting and drying cycles for accelerating the ingression of chloride ion. Chloride concentration of the specimens in the lab and the components in situ was tested. The results show that the surface treatments obviously slow down the chloride penetration into the concrete in both lab and in situ. The chloride penetration in situ is more severe than that in specimens under wetting and drying cycles. For the components of the real concrete port, the chloride concentration tested in summer is found higher than that in winter and the chloride concentration in the tensile region of bending beam is higher than that in the column

Corrosion-Induced Concrete Cracking Model Considering Corrosion-Filled Paste

A TCP–TCL model is established to describe the relationship between the thickness of the corrosion-filled paste (CP) and that of the corrosion layer (CL). This model can describe the phenomenon that the corrosion filling in the concrete pores and accumulating at the steel/concrete interface occur synchronously. Based on the TCP–TCL model, a corrosion-induced concrete cracking model, which can quantitatively consider corrosion-filled paste at concrete/steel interface, is proposed. Combined with damage analysis in corrosion-induced cracking process of concrete cover, the model is developed to describe the quantity of steel corrosion required to crack the concrete surface