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2025 IEEE International Conference on Big data and Smart Computing, BigComp 2025

作者： Cho, Sanghyun Kim, Minho Kim, Hye-Lynn Lee, Jung-Hun Kwon, Hyuk-Chul Pusan National University Department of Information Convergence Engineering Busan Korea Republic of Korea Maritime and Ocean University Division of Artificial Intelligence Engineering Busan Korea Republic of R&D Center AI LAB HDC LABS Seoul Korea Republic of Dong-Eui University Department of Artificial Intelligence Busan Korea Republic of Pusan National University Department of Computer Science and Engineering Busan Korea Republic of

Table question answering datasets have been released in various table sources and diverse tasks. However, most of these table question answering datasets are constructed in resource-rich languages like English. For low-resource languages, it is necessary to create new datasets or translate existing ones to train models on table question answering tasks. This process requires substantial costs and manpower. Table data, unlike natural text, is structured in a way that is less affected by word order and language-specific characteristics. In this paper, we propose a method to minimize the costs associated with translating and applying new table question answering datasets. By leveraging the characteristics of table data, we suggest translating only the question data of the question answering table datasets into multiple languages. To minimize the performance degradation caused by using the native table data of the original dataset and not directly utilizing the table data in the target language, we applied adaptation methods using contrastive learning and adversarial training. To enhance the reasoning capabilities required for table question answering without diminishing performance in languages other than the one used for pre-training, we further pre-trained a roBErTa-based multilingual encoder on table data using SQL data. The proposed cross-lingual adaptation demonstrated performance improvements in most of the languages evaluated. Additionally, the pre-training using SQL data significantly improved performance across all languages, even though the pre-training table data consisted of English data. © 2025 IEEE.

关键词： Contrastive Learning

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Super microporous sulfur-doped hard carbon synthesized from a π-stacked Polybenzo[c]thiophene boosting reversible lithium-ion insertion at room temperature

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Carbon 2023年 213卷

作者： ramar, Alagar Sakthivel, Mani Wang, Fu-Ming Ho, Kuo-Chuan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology No. 43 Sec. 4 Keelung Road Taipei106 Taiwan Department of Chemical Engineering National Taiwan University Taipei Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan Taiwan Sustainable Energy Center National Taiwan University of Science and Technology Taipei Taiwan Department of Chemical Engineering Chung Yuan Christian University Taoyuan Taiwan

Synthesis of porous carbon materials with controlled textural properties is an all-time challenging process for energy storage applications. Aromatic polymers possess high rigidity due to their π-π stacking arrangement and could serve as robust precursors to produce porous carbon. Herein, super-microporous sulfur-doped hard carbons (SM-SdHCs) were synthesized from a highly ordered aromatic polybenzo[c]thiophene between 600 and 800 °C by using KOH as an activation agent. The degree of carbonization and defects were enhanced as the temperature increased from 600 to 800 °C as confirmed by X-ray diffraction and raman spectroscopy techniques. All the SM-SdHCs exhibit a super-microporosity (2 g−1). Among the three synthesized carbons, the SM-SdHC800 exhibited a high discharge capacity of 760.7 mAh g−1 at 20 mA g−1 and showed excellent cycle stability at 200 mA g−1 for 250 cycles. The reversible lithium-ion insertion of SM-SdHC800 anode is accredited to its high degree of carbonization, defect-rich quality, high interlayer distance, and microporous texture with large pore volume (0.68 cm3 g−1). In addition, the excellent cycle stability at 2 A g−1 for 1000 cycles shows its robustness for high C-rate LIBs. Polybenzo[c]thiophene precursor is a perceptive choice to produce sulfur-doped super-microporous hard carbon with controlled textural properties and could bring dramatic advances in the synthesis of nanostructured carbon materials for energy storage applications. © 2023 Elsevier Ltd

关键词： Sulfur

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Constructing superwetting membranes by sodium lignosulfonate-modified carbon nanotube for highly efficient crude oil-in-water emulsions separations

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Separation and Purification Technology 2023年 322卷

作者： Udomsin, Jittrakorn Hu, Chien-Chieh Wang, Chih-Feng Chen, Jem-Kun Tsai, Hsieh-Chih Kuo, Shiao-Wei Hung, Wei-Song Lai, Juin-Yih Graduate Institute of Applied Science and Technology Advanced Membrane Materials Research Center National Taiwan University of Science and Technology Taipei106 Taiwan Institute of Advanced Semiconductor Packaging and Testing National Sun Yat-sen University Kaohsiung804 Taiwan Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei106 Taiwan Department of Materials and Optoelectronic Science National Sun Yat-Sen University Kaohsiung804 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan Chungli320 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan320 Taiwan

For the past few years, superwetting materials had been developed to enhance the treatment process of oily wastewater. membranes are improved through the combination of surface topography and chemical modifications to achieve superwetting properties for treating oily wastewater effectively. In this work, we prepared an eco-friendly membrane by depositing sodium lignosulfonate (SLS)-modified carbon nanotube (CNT) on a cellulose acetate membrane via vacuum filtration without employing any organic solvents. The SLS@CNT membrane shows superhydrophilicity and underwater superoleophobicity with high stability. Furthermore, the SLS@CNT membrane exhibits outstanding antifouling and self-cleaning properties against crude oil of high viscosity. Most importantly, our SLS@CNT membrane exhibits outstanding oil-in-water emulsions separation performances including crude oil-in-water emulsions. For the surfactant-free and surfactant-stabilized emulsions, fluxes were revealed to reach up to 27,800 L m−2 h−1 bar−1 and 13,800 L m−2 h−1 bar−1, respectively, with very high separation efficiency (>99.97 % and 99.79 %, respectively). The distinguished performance of our SLS@CNT membrane, and its eco-friendly, low-energy consumption, and cost-effective preparation, demonstrate practical applicability. © 2023 Elsevier B.V.

关键词： Emulsification

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Pivotal role of Boron-doped graphene quantum dots in stretchable and Self-Healable red emission nanocomposite Film: One step advance for white light emitting diodes application

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Chemical engineering Journal 2023年第1期473卷

作者： Hsu, Chen-Chu Laysandra, Livy Chiu, Yu-Cheng Liu, Wei-ren Department of Chemical Engineering R&D Center for Membrane Technology Center for Circular Economy Research Center for Semiconductor Materials and Advanced Optics Chung Yuan Christian University 200 Chung Pei Road Taiwan Chung Li District Taoyuan City32023 Taiwan Department of Chemical Engineering National Taiwan University of Science and Technology No. 43 Section 4 Taiwan Keelung Rd Da'an District Taipei City106335 Taiwan

In this study, red-emitting BGQds were prepared by a hydrothermal method derived from 1,3,6-Trinitropyrene (TNP) and boric acid. The luminescence properties of as-synthesized BGQds were characterized through photoluminescence (PL), time-resolved photoluminescence (TrPL), and UV–Vis measurements. After the modification of boron doping, B-GQds demonstrated superior optical properties and chemical stability compared to pristine ones. For the sake of continued stability in the luminescent layer performance derived from BGQds, poly{(n-butyl acrylate)–co-[N-(hydroxymethyl)acrylamide]} (PBA0.8-co-PNMA0.2) as an amphiphilic copolymer matrix with tunable mechanical, elastic, and self-healing properties was introduced. Through the synergistic effects between BGQds and amphiphilic copolymer side chain, the physical and mechanical properties of the red-emitting nanocomposite film were impressively improved. Furthermore, white light-emitting diodes (WLEds) were successfully fabricated by combining a 450 nm GaN chip, a commercial green-emitting (Ba,Sr)2SiO4:Eu2+ phosphor, and a self-healable red-emitting nanocomposite film, generating a high color rendering index (CrI) value of 89.4. © 2023

关键词： Nanocomposites

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Multilingual Table Question Answering for Low-resource Languages via Selective Question Translation and Cross-Lingual Adaptation

Multilingual Table Question Answering for Low-Resource Langu...

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International Conference on Big data and Smart Computing (BIGCOMP)

作者： Sanghyun Cho Minho Kim Hye-Lynn Kim Jung-Hun Lee Hyuk-Chul Kwon Department of Information Convergence Engineering Pusan National University Busan South Korea Division of Artificial Intelligence Engineering Korea Maritime and Ocean University Busan South Korea R&D Center AI LAB HDC LABS Seoul South Korea Department of Artificial Intelligence Dong-Eui University Busan South Korea Department of Computer Science and Engineering Pusan National University Busan South Korea

ISBN: (数字)9798331529024

ISBN: (纸本)9798331529031

关键词： Training degradation Structured Query Language Adaptation models Translation Costs Contrastive learning Question answering (information retrieval) Cognition Multilingual

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Corrigendum to “dye sieving and dye/salt separation PEI-based loose nanofiltration membrane modified by NH 2 -MIL-101(Fe) and polyphenol coating” [Sep. Puri. Tech. 327 (2023) 124989]

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Separation and Purification Technology 2024年 335卷

作者： Yi-Hao Tong Yu-Zhe Wu Zhen-Liang Xu Li-Han Luo rui Jia Sun-Jie Xu State Key Laboratory of Chemical Engineering Membrane Science and Engineering R&D Lab Chemical Engineering Research Center School of Chemical Engineering School of Materials Science and Engineering Shanghai Electronic Chemicals Innovation Institute East China University of Science and Technology Shanghai 200237 China

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Catalytic hydrogenation of disinfection by-product bromate by cobalt and nickle prussian blue analogues with borohydride

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Korean Journal of Chemical engineering 2023年第12期40卷 2876-2885页

作者： Mao, Po-Hsin Park, Young-Kwon Lin, Yi-Feng Thanh, Bui Xuan Tuan, duong dinh Ebrahimi, Afshin Lisak, Grzegorz Tangcharoen, Thanit Lin, Kun-Yi Andrew Department of Environmental Engineering & Innovation and Development Center of Sustainable Agriculture National Chung Hsing University 250 Kuo-Kuang Road Taichung Taiwan School of Environmental Engineering University of Seoul Seoul02504 Korea Republic of Department of Chemical Engineering and R&D Center for Membrane Technology Chung Yuan Christian University 200 Chung Pei Rd. Chungli Taoyuan Taiwan Faculty of Environment and Natural Resources Ho Chi Minh City University of Technology VNU-HCM 268 Ly Thuong Kiet District 10 Ho Chi Minh City700000 Viet Nam International School Thai Nguyen University Thai Nguyen city250000 Viet Nam Environment Research Center and Department of Environmental Health Engineering Isfahan University of Medical Sciences Isfahan Iran Residues and Resource Reclamation Centre Nanyang Environment and Water Research Institute Nanyang Technological University Singapore637141 Singapore School of Civil and Environmental Engineering Nanyang Technological University Singapore639798 Singapore Department of Basic Science and Physical Education Faculty of Science at Sriracha Kasetsart University Sriracha Campus Chonburi Thailand

As disinfection is employed extensively, disinfection by-product bromate has become an emerging environmental issue due to its carcinogenic toxicity. For developing an effective alternative approach for reducing bromate, cobalt and nickel-based Prussian Blue (PB) analogues are proposed here for incorporating a convenient reducing agent, NaBH4 (i.e., a H2-rich reagent) for reducing bromate to bromide as cobalt and nickel are recognized as effective metals for catalyzing hydrolysis of NaBH4, and PB exhibits versatile catalytic activity. While CoPB and NiPB are comprised of the same crystalline structure, CoPB exhibits slightly higher specific surface area, more reductive surface, and more superior electron transfer than NiPB, enabling CoPB to accelerate bromate reduction. CoPB also exhibits a higher affinity towards NaBH4 than NiPB based on density functional theory calculations. Moreover, CoPB also exhibits a relatively low activation energy (i.e., 59.5 kJ/mol) of bromate reduction than NiPB (i.e., 63.2 kJ/mol). Furthermore, bromate reduction by CoPB and NiPB could be also considerably enhanced under acidic conditions, and CoPB and NiPB could still effectively remove bromate even in the presence of nitrate, sulfate and phosphate. CoPB and NiPB are also validated to be recyclable for reducing bromate, indicating that CoPB and NiPB are promising heterogeneous catalysts for reducing bromate. © 2023, The Korean Institute of Chemical Engineers.

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Plasmonic nanoparticle-based surface-enhanced raman spectroscopy-guided photothermal therapy: emerging cancer theranostics

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Nanomedicine 2023年第6期18卷 555-576页

作者： Anindita das Hsieh-Chih Tsai Tapas Sen rakesh S Moirangthem Department of Physics Nanophotonics Lab Indian Institute of Technology (Indian School of Mines) Dhanbad Jharkhand 826004 India Graduate Institute of Applied Science & Technology National Taiwan University of Science & Technology Taipei 106 Taiwan Advanced Membrane Materials Center National Taiwan University of Science & Technology Taipei 106 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Chungli Tao-Yuan 320 Taiwan Nano-biomaterials Research Group School of Natural Sciences Faculty of Science & Technology University of Central Lancashire Preston PR1 2HE UK Department of Physics Manipur University Canchipur Imphal Manipur 795003 India

Optical imaging modalities have emerged as a keystone in oncological research, capable of providing molecular and cellular information on cancer with the advantage of being minimally invasive toward healthy tissues. Photothermal therapy (PTT) has shown great potential, with the exceptional advantages of high specificity and noninvasiveness. Combining surface-enhanced raman spectroscopy (SErS)-based optical imaging with PTT has shown tremendous potential in cancer theranostics (therapeutics + diagnosis). This comprehensive review article provides up-to-date information by exploring recent works focused mainly on the development of plasmonic nanoparticles for medical applications using SErS-guided PTT, including the fundamental principles behind SErS and the plasmon heating effect for PTT.

关键词： cancer theranostics photothermal therapy plasmonic nanoparticles surface-enhanced raman spectroscopy surface functionalization toxicity

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Smart Soft Sensor for Froth flotation quality monitoring using pre-trained feature extractor and Vision Transformer ViT

Smart Soft Sensor for Froth flotation quality monitoring usi...

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Oussama Hasidi Ahmed Bendaouia El Hassan Abdelwahed El Alaoui-Chrifi Moulay Abdellah Abdelmalek Boussetta Intissar Benzakour François Bourzeix Kaotar Oubouhss LISI Laboratory Computer Science Departement UCA Analytics Lab Mohammed VI Polytechnic University Marrakech Morocco LISI Laboratory Computer Science Departement Cadi Ayyad University Marrakech Morocco R&D and Engineering center Reminex Managem Group Marrakech Morocco Analytics Lab Mohammed VI Polytechnic University Rabat Morocco Department of Electrical and Industrial Engineering National School of Applied Science UAE Tangier Morocco

Smart sensor technologies have gained prominence in the field of machine vision-based applications. Within this context, the utilization of machine vision systems for monitoring and controlling flotation plants has become increasingly prevalent. This paper addresses the critical need for accurate froth image classification in the development of an online machine vision-based control system. This paper explores the recent advancements in machine learning, with a focus on deep learning techniques. Specifically, it introduces the application of a Vision Transformer (VIT) model as an alternative to the traditional Convolutional Neural Network (CNN) for classifying froth images collected from an industrial lead flotation circuit. The results of this research demonstrate the remarkable performance of the ViT model, achieving an impressive overall accuracy rate of 96% when combined with pre-trained feature extractor models. This achievement surpasses the capabilities of conventional artificial neural network (CNN) classifiers of the state of art in terms of both accuracy and computational efficiency. These findings underscore the promising potential of deep learning neural networks in froth image analysis, highlighting their significance in the advancement of smart sensor-based machine vision systems within the field of flotation plant control.

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Flow-Through In-Situ Evaporation membrane Enabled Self-Heated membrane distillation for Efficient desalination of Hypersaline Water

SSRN

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SSrN 2022年

作者： Subrahmanya, T.M. Widakdo, Januar Austria, Hannah Faye M. Hung, Wei-Song Kurkuri, Mahaveer d. Wang, Chih-Feng Hu, Chien-Chieh Lee, Kueir-rarn Lai, Juin-Yih Advanced membrane materials research center Graduate Institute of Applied science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan JAIN University Jain Global Campus Karnataka Bengaluru562112 India R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

Water crisis and high salinity water treatment are growing challenges for the world. The recently emerged self-heating or surface heating membrane distillation (Md) can be a promising way to obtain fresh water from saline and other wastewater sources. However, its inherent drawbacks such as intolerance to high feed flow rate, low flux, and loss of heat energy through bulk feed stream, limit its realistic applications. Herein, we successfully demonstrate a novel trilayered flow-through in situ evaporation membrane (FTIEM) enabled membrane distillation process. The PEI-PdA-SBA-15 is spray coated as a top layer of FTIEM, which functions as hydrating, salt screening and thermally insulating layer, thus, prevents the loss of heat from the middle joule heating layer (i.e., COOH-MWCNTs-PVA layer, where the water evaporation occurs) to the bulk feed stream, while the bottom PVdF microporous membrane permits only vapor to pass through under an appropriate vacuum pressure. The power required for membrane heating is provided by using a d.C. supply. during Md desalination of sea water, the FTIEMs achieve the lowest specific heating energy of 0.024 KWhL -1 . In addition, the FTIEMs upon long –term Md operation using hypersaline water as feed, exhibit excellent stability and performance with maximum flux and salt rejection of 29.25 Lm -2 h -1 and 99.99% respectively. Our findings may encourage the development of FTIEMs for desalination of hypersaline water. © 2022, The Authors. All rights reserved.

关键词： desalination

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