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369 results on '"Wang, Jinshui"'

1. List of contributors

Author

Aguiló-Aguayo, Ingrid, primary, Ai, Yongfeng, additional, Aijaz, Thameed, additional, Aktaş, Havva, additional, Ali, Abdelrahman, additional, Andreani, Giulia, additional, Apostolidis, Eftychios, additional, Augustin Mihalache, Octavian, additional, Ain, Vladimir, additional, Banovic, Marija, additional, Bello-Perez, Luis A., additional, Bhat, Nusrat, additional, Bogueva, Diana, additional, Boukid, Fatma, additional, Brbakli, Ljiljana, additional, Chic, Angela, additional, Dagevos, Hans, additional, Dar, B.N, additional, Darwish, Amira, additional, Darwish, Amira M. Galal, additional, Ersoy, Burcu, additional, Franca, Paula Albuquerque Penna, additional, Ganaie, Arsheed A, additional, Garzon, Raquel, additional, Gasparre, Nicola, additional, Grahovac, Nada, additional, Gulsunoglu-Konuskan, Zehra, additional, Habeeb, Falak, additional, Hassoun, Abdo, additional, Hernandez-Bautista, Monserrat, additional, Hosni, Karim, additional, Idriss, Heba F.F.M., additional, Ilin, Sonja, additional, Campos, Jesús Navarro, additional, Kadam, Aayushi, additional, Karimidastjerd, Atefeh, additional, Khan, Zakir Showkat, additional, Khemiri, Sheyma, additional, Khwaldia, Khaoula, additional, Koksel, Filiz, additional, Kurek, Marcin A., additional, Landim Neves, Maria Isabel, additional, León, Alberto E., additional, Li, Xuejie, additional, Liang, Ying, additional, Majid, Darakshan, additional, Makroo, Hilal A, additional, Mandala, Ioanna G., additional, Mansour, Hanem M.M., additional, Marinova, Dora, additional, Martín-Gómez, Helena, additional, Mefleh, Marina, additional, Napiórkowska, Alicja, additional, Ortiz-Solà, Jordi, additional, Pawelzik, Elke, additional, Pérez, Gabriela T., additional, Pierucci, Anna Paola Trindade Rocha, additional, Pointke, Marcel, additional, Raymundo, Anabela, additional, Ren, Yikai, additional, Romero-Hernandez, Hector A., additional, Rosell, Cristina M., additional, Santana-Galeana, Reyna S., additional, Scherf, Katharina Anne, additional, Sciarini, Lorena S., additional, Singh, Ravinder, additional, Sogari, Giovanni, additional, Spence, Audrey, additional, Taha, Heba A.I.M, additional, Wang, Jinshui, additional, Yanwen, Tan, additional, and Živančev, Dragan, additional

Published
2024
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10. Wireframe-Based UI Design Search Through Image Autoencoder

Author

Chen, Jieshan, Chen, Chunyang, Xing, Zhenchang, Xia, Xin, Zhu, Liming, Grundy, John, and Wang, Jinshui

Subjects
Computer Science - Software Engineering
Abstract

UI design is an integral part of software development. For many developers who do not have much UI design experience, exposing them to a large database of real-application UI designs can help them quickly build up a realistic understanding of the design space for a software feature and get design inspirations from existing applications. However, existing keyword-based, image-similarity-based, and component-matching-based methods cannot reliably find relevant high-fidelity UI designs in a large database alike to the UI wireframe that the developers sketch, in face of the great variations in UI designs. In this article, we propose a deep-learning-based UI design search engine to fill in the gap. The key innovation of our search engine is to train a wireframe image autoencoder using a large database of real-application UI designs, without the need for labeling relevant UI designs. We implement our approach for Android UI design search, and conduct extensive experiments with artificially created relevant UI designs and human evaluation of UI design search results. Our experiments confirm the superior performance of our search engine over existing image-similarity or component-matching-based methods and demonstrate the usefulness of our search engine in real-world UI design tasks., Comment: Accepted to TOSEM 2020

Published
2021
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14. Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning

Author

Chen, Jieshan, Chen, Chunyang, Xing, Zhenchang, Xu, Xiwei, Zhu, Liming, Li, Guoqiang, and Wang, Jinshui

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Software Engineering, D.2, H.5.0
Abstract

According to the World Health Organization(WHO), it is estimated that approximately 1.3 billion people live with some forms of vision impairment globally, of whom 36 million are blind. Due to their disability, engaging these minority into the society is a challenging problem. The recent rise of smart mobile phones provides a new solution by enabling blind users' convenient access to the information and service for understanding the world. Users with vision impairment can adopt the screen reader embedded in the mobile operating systems to read the content of each screen within the app, and use gestures to interact with the phone. However, the prerequisite of using screen readers is that developers have to add natural-language labels to the image-based components when they are developing the app. Unfortunately, more than 77% apps have issues of missing labels, according to our analysis of 10,408 Android apps. Most of these issues are caused by developers' lack of awareness and knowledge in considering the minority. And even if developers want to add the labels to UI components, they may not come up with concise and clear description as most of them are of no visual issues. To overcome these challenges, we develop a deep-learning based model, called LabelDroid, to automatically predict the labels of image-based buttons by learning from large-scale commercial apps in Google Play. The experimental results show that our model can make accurate predictions and the generated labels are of higher quality than that from real Android developers., Comment: Accepted to 42nd International Conference on Software Engineering

Published
2020
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39. A Hybrid BPSO-GA Algorithm for 0-1 Knapsack Problems

Author

Wang, Jinshui, Liu, Jianhua, Pan, Jeng-Shyang, Xue, Xingsi, Huang, Lili, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Krömer, Pavel, editor, Alba, Enrique, editor, Pan, Jeng-Shyang, editor, and Snášel, Václav, editor

Published
2018
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40. A Hybrid Central Force Optimization Algorithm for Optimizing Ontology Alignment

Author

Xue, Xingsi, Liu, Shijian, Wang, Jinshui, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Krömer, Pavel, editor, Alba, Enrique, editor, Pan, Jeng-Shyang, editor, and Snášel, Václav, editor

Published
2018
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48. Effects of Sourdough Addition on the Quality and Shelf Life of Chinese Steamed Bread

Author

CHEN Di, WANG Jinshui, JIA Feng, and ZHANG Changfu

Subjects
Agriculture, Food processing and manufacture, TP368-456
Abstract

The effect of adding sourdough with lactic acid bacteria (Lactobacillus plantarum M616) on dough quality and the sensory scores, specific volume, crumb firmness, and spread ratio of resultant Chinese steamed bread were studied. The moisture content of crumb and texture characteristics of the Chinese steamed bread with sourdough during storage were analyzed. In this study, 10%, 20%, 30%, and 40% of sourdough addition was investigated. The sourdough starter resulted in significant decrease in the water absorption, development time, stability, and farinograph quality number of the dough. The addition of sourdough improved the quality of Chinese steamed bread such as improving the sensory scores and specific volume, decreasing the crumb firmness, and a lower spread ratio was observed with an increase in the sourdough concentration up to 30%. Sourdough addition delayed a fast decrease in the moisture content of the Chinese steamed bread crumb during storage. The texture profile analysis of the bread crumb indicated that the addition of sourdough improved the quality and delayed the staling speed of Chinese steamed bread during storage. Moreover, inclusion of 30% sourdough produced the best protective effect on product staling.Supported by National Natural Science Foundation of China (31571780), Key Research Project in Higher Education of Henan (18A550002), Zhengzhou Science and Technology Innovation Team Program (121PCXTD518), School Funds of Henan University of Technology (2017QNJH11), and High-level Talent Foundation of Henan University of Technology (2017BS005) Keywords:: Sourdough, Chinese steamed bread, Dough quality, Shelf life, Texture profile analysis

Published
2018
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50. Mn2+-Triggered Swing-Arm Robot Strategy Using Anemone-Like Thi@AuPd@Cu-MOFs as Signaling Probes for the Detection of T-2 Toxin

Author

Zhang, Yidan, He, Baoshan, Wang, Yuling, Wang, Jinshui, Liang, Ying, Jin, Huali, Wei, Min, Ren, Wenjie, Suo, Zhiguang, and Xu, Yiwei

Abstract

Herein, we synthesized anemone-like copper-based metal–organic frameworks (MOFs) loaded with gold–palladium nanoparticles (AuPd@Cu-MOFs) and polyethylenimine-reduced graphene oxide/gold–silver nanosheet composites (PEI-rGO/AuAg NSs) for the first time to construct the sensor and to detect T-2 toxin (T-2) using triple helix molecular switch (THMS) and signal amplification by swing-arm robot. The aptasensor used PEI-rGO/hexagonal AuAg NSs as the electrode modification materials and anemone-like AuPd@Cu-MOFs as the signal materials. The prepared PEI-rGO/hexagonal AuAg NSs had a large specific surface area, excellent electrical conductivity, and good stability, which successfully improved the electrochemical performance of the sensors. The AuPd@Cu-MOFs with high porosity provided a great deal of attachment sites for the signaling molecule thionine (Thi), thereby increasing the signal response. The aptasensor developed in this study demonstrated a remarkable detection limit of 0.054 fg mL–1under optimized conditions. Furthermore, the successful detection of T-2 in real samples was achieved using the fabricated sensor. The simplicity of the THMS-based method, which entails modifying the aptamer sequence, allows for easy adaptation to different target analytes. Thus, the sensor holds immense potential for applications in quality supervision and food safety.

Published
2024
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