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16th Asian Conference on Computer Vision, ACCV 2022

作者： Zhao, Yang Zhu, Yazhou Liao, Shengbin Ye, Qiaolin Zhang, Haofeng School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China National Engineering Research Center for E-learning Huazhong Normal University Wuhan430079 China School of Information Science and Technology Nanjing Forestry University Nanjing210037 China

ISBN: (纸本)9783031263507

Multi-modal deep hash learning is arguably one of the most commonly used unsupervised methods in cross-modal retrieval tasks. Most existing deep hashing methods focus on maintaining similarity information in the hash code learning step. Although accurate and compact binary representations are learned, these methods fail to encourage discriminative learning of features. In this paper, we propose a new method called Class Concentrated Variational auto-encoder (CCTV) to learn discriminative hash codes. The novelty of CCTV lies in two aspects. First, the proposed method focuses on the concentration of the mean vector of latent features. Based on the assumption that the features in the shared latent space produce multivariate Gaussian, CCTV updates the mean vectors and the cluster centroids of the latent features at the same time by minimizing the class concentration loss, so as to narrow the distance between the cluster centroids and the mean vectors, and further make the concentration more compact. Secondly, under the constraint of raw similarity information, CCTV is different from previous works, it uses the mean vector of latent features as the representation of the images to reduce the influence of variance, and then embeds them in the Hamming space. Our experimental evaluation on four multimedia benchmarks shows a significant improvement over the state-of-the-art methods. Code is available at: https://***/theusernamealreadyexists/CCTV. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Deep learning

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Fostering students’ scientific literacy by reflective questioning: An identification, summarization, self-reflective questioning, and application (ISSA)-based flipped learning approach

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education and Information Technologies 2024年第6期29卷 7081-7104页

作者： Cheng, Shu-Chen Hwang, Gwo-Jen Chen, Chih-Hung Center for General Education Chung Yuan Christian University Taoyuan Taiwan Bachelor Degree Program of Digital Marketing National Taipei University New Taipei Taiwan Graduate Institute of Educational Information and Measurement National Taichung University of Education Taichung Taiwan Graduate Institute of Digital Learning and Education National Taiwan University of Science and Technology Taipei Taiwan Yuan Ze University Taoyuan Taiwan Master Program of Professional Teacher National Taichung University of Education Taichung Taiwan

Developing students’ scientific literacy is the most important educational goal and challenge of the 21st century. Many studies have confirmed that flipped learning has significantly impacted learning science. Researchers indicate that the lack of an appropriate learning guidance strategy in the pre-class stage for flipped learning will influence students’ understanding of learning content and affect in-class learning activities. In order to tackle this problem, the present study proposed a flipped learning approach based on identification, summarization, self-reflective questioning, and application (ISSA), further exploring the influences on students’ scientific literacy, communication tendency, problem-solving tendency, learning motivation, and cognitive load. In addition, the study used a true experimental design to assess the effectiveness of the proposed learning method, and 58 university students were recruited to participate in a natural science course. The experimental group (N = 29) adopted the proposed learning approach, while the control group adopted the conventional flipped learning approach. The results showed that the experimental group had higher scientific literacy, communication tendency, problem-solving tendency, and extrinsic motivation than the control group. The interviews showed that the ISSA flipped learning method could improve students’ understanding of the learning content. In particular, the process of peer interaction promoted their self-reflection and scientific literacy skills. © 2023, The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature.

关键词： Flipped classroom Flipped learning Problem-solving Scientific literacy Self-reflective questioning

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Design and application of a new massive open online training platform

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International Journal of Business Intelligence and Data Mining 2024年第1期25卷 52-64页

作者： Wang, Zhe Li, Jingjing National Engineering Research Center for E-Learning Central China Normal University Wuhan430079 China School of Law and Economics Wuhan University of Science and Technology Wuhan430065 China Hubei Research Center for Small and Medium-Sized Enterprises Wuhan430065 China Hubei Institute of Water Resources Survey and Design Wuhan430070 China

Over the past decade, e-learning has been a tremendous success. Many MOOCs have been established around the world. A mounting number of college students study through MOOCs. But with the rapid development of cloud computing, big data and artificial intelligence technology, there is an increasing number of IT training requirements in colleges. The mode of traditional IT training can not match the needs of college students and teachers, such as fragmentation, anytime, anywhere, etc. IT training is more complex than e-learning, so it cannot simply copy the mode of e-learning. This article proposes a framework of a massive open online training platform based on Docker and cloud services, which overcomes the limitations of traditional training. It has the advantages of quickness, economy, efficiency and flexibility. It provides one-stop services for online learning, online training and online assessment for college students. The application results of Shuishan online show that the proposed framework is reliable and excellent. Copyright © 2024 Inderscience enterprises Ltd.

关键词： Personnel training

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A Genetic Algorithm to Optimize Cargo Stability in Container Transportation 11

A Genetic Algorithm to Optimize Cargo Stability in Container...

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11th Ieee Global Conference on Consumer electronics, GCCe 2022

作者： Hsieh, Chi-Jung Wu, Kuang-Sung Wu, Tin-Yu Tey, Fu Jie Chen, Yi-Kai Ho, Jye Yi National Ilan University Department of Computer Science and Information Engineering Ilan County Taiwan National Ilan University Master Program of E-Learning for Multimedia and Network Communications Yilan Taiwan National Pingtung University of Science and Technology Department of Management Information Systems Pingtung County Taiwan National Taiwan University of Science and Technology Department of Electrical Engineering Taipei Taiwan

ISBN: (纸本)9781665492324

In the era of the global village, frequent cross-border trade in goods has made container transportation a significant part in delivery of cargo. However, rollover accidents of container trucks often occur because of tall truck height, improper cargo stowage or crooked roads. Therefore, how to find the optimal center of gravity (CG) of the packed cargo remains an issue that the transportation industry should not neglect. To optimize cargo stability and reduce the incidence of rollovers, this paper proposes a genetic algorithm that scores the cargo stacking process to find the best CG of the cargo based on the CG of the vehicle. According to the deviation angle and the point closest to the best CG, we can Figure out the optimal cargo stacking method. © 2022 Ieee.

关键词： Genetic algorithms

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Controlling Remote Robots Based on Zidan’s Quantum Computing Model

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Computers, Materials & Continua 2022年第12期73卷 6225-6236页

作者： Biswaranjan Panda Nitin Kumar Tripathy Shibashankar Sahu Bikash K.Behera Walaa e.elhady Indian Institute of Science Education and Research Berhampur760005India Bikash’s Quantum(OPC)Private Limited BalindiMohanpur741246West BengalIndia Faculty of Computers and Information Technology The National Egyptian E-Learning UniversityCairoEgypt

In this paper,we propose a novel algorithm based on Zidan’s quantum computing model for remotely controlling the direction of a quantumcontrolledmobile robot equippedwith *** proposed algorithm is based on the measurement of concurrence value for the different movements of the *** a faraway robot that moves in the deep space(e.g.,moves toward a galaxy),and it is required to control the direction of this robot from a ground station by some person *** sends an unknown qubitα|0)+β|1)via the teleportation protocol to the ***,the proposed algorithm decodes the received unknown qubit into an angleθ,that determines the motion direction of the robot,based on the concurrence *** proposed algorithm has been tested for four and eight *** simulators have been tested;IBM Quantum composer and IBM’s system,The two simulators achieved the same result *** motion of any part of the robot is considered,if it has a pre-existing sensor system and a locomotive system,.We can use this technique in many places like in space robots(16 directions).The results show that the proposed technique can be easily used for a huge number of ***,increasing the number of movements of the robot will increase the number of qubits.

关键词： Quantum neural network competitive learning swap test quantum robots

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How humor styles affect humor comprehension and appreciation: A typological approach

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Current Psychology 2023年第19期42卷 16392-16400页

作者： Wu, Ching-Lin Yen, Ying-Fan Chen, Hsueh-Chih Program of Learning Sciences National Taiwan Normal University Taipei Taiwan Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei Taiwan Department of Educational Psychology and Counseling National Taiwan Normal University Education College Building Room 612 No. 162 Sec. 1 Heping E. Rd. Da-an District Taipei City 10610 Taiwan Chinese Language and Technology Center National Taiwan Normal University Taipei Taiwan

There have been many empirical studies on humor styles and humor comprehension and appreciation, but relatively few have directly addressed the relationship between these two topics of humor research, especially studies using a typological approach for humor styles. Therefore, the present study aimed to examine how humor styles are associated with humor comprehension and appreciation using a typological approach. The present study collected the responses of humor styles questionnaires that included ratings of comprehension and funniness of humorous pictures for 962 high school students in Taiwan. The cluster analysis result indicated that there were four humor types of participants: general humor endorsers, humor deniers, positive humor endorsers, and negative humor endorsers. The positive humor endorsers could understand the content of humor pictures better than other types of participants. The general humor endorsers found the humor pictures much funnier than the humor deniers. These findings indicate that humor styles have different associations with humor comprehension and humor appreciation. © 2021, The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature.

关键词： Humor appreciation Humor comprehension Humor style Pictorial humor

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Influence of Junior High School Students’ humor styles and perceptions of their class Teachers’ humor Styles on Teacher-Student Interaction

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Current Psychology 2023年第19期42卷 16442-16450页

作者： Wu, Ching-Lin Huang, Hsiang-Ju Chen, Pei-Zhen Chen, Hsueh-Chih Program of Learning Sciences National Taiwan Normal University Taipei Taiwan Institute for Research Excellence in Learning Sciences National Taiwan Normal University Taipei Taiwan Department of Educational Psychology and Counseling National Taiwan Normal University Education College Building Room 612 No. 162 Sec. 1 Heping E. Rd. Da-an District Taipei 10610 Taiwan Chinese Language and Technology Center National Taiwan Normal University Taipei Taiwan

A sense of humor constitutes a core factor that influences teacher-student interactions. The humor that teachers utilize in class may influence teacher-student relationships, either positively or negatively. Moreover, teachers’ humor style influences students’ humor style, and vice versa. This study aimed to construct patterns of humor styles based on typology and explore how these patterns influence their interactions. Data were collected from 990 Taiwanese students regarding their self-reported humor styles and perceptions of class teachers as well as the interaction between the two. Subsequently, k-means clustering was conducted by dividing participants into four clusters based on the collected data: positive humor endorsers, negative humor endorsers, humor deniers, and contradictory humor endorsers. Among these, the grouping of contradictory humor endorsers differed from previous findings. Among the four clusters, the teachers of positive humor endorsers were perceived to have a significantly higher influence and proximity to students, whereas contradictory humor endorsers were perceived to have the lowest influence and proximity to students. The research findings revealed that different patterns of teachers’ and students’ humor styles have a distinct influence on their interactions, which deepens our understanding of the extent to which their humor styles consistently impact their interactions. © 2022, The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature.

关键词： Humor style Influence Proximity Teacher-Student Interaction

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FSLNet: Leveraging Skeleton Cue Guided FBIC for Bionic Intelligent Surveillance Robot via Transformer

FSLNet: Leveraging Skeleton Cue Guided FBIC for Bionic Intel...

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2024 Ieee International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Liu, Hai Chen, Qiang Liu, Zhibing Deng, Yongjian Zhang, Zhaoli Li, You-Fu Central China Normal University National Engineering Research Center for E-Learning Wuhan430079 China College of Computer Science Beijing University of Technology Beijing100124 China City University of Hong Kong Department of Mechanical Engineering Kowloon Hong Kong

ISBN: (纸本)9781665481090

Fine-grained bird image classification (FBIC) plays a critical role in robotic vision tracking and monitoring of endangered bird species. Traditional surveillance robots often face major challenges when operating in complex environments, especially under extreme conditions involving occlusions and complex backgrounds. To overcome these limitations, we developed a novel bionic intelligent surveillance robot that incorporates FSLNet - a fine-grained skeletal learning network that integrates skeletal tokens into a Vision Transformer (ViT) framework. Unlike traditional CNN-based models, FSLNet leverages skeletal tokens to capture key invariant features, improving the ability to distinguish between visually similar bird species under challenging circumstances. The architecture of our model includes visual token construction, skeleton token construction, and a transformer-based backbone for thorough feature learning. extensive experiments on CUB-200-2011 and NABirds datasets demonstrate that our method achieves superior performance compared to state-of-the-art approaches. © 2024 Ieee.

关键词： Birds

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A Survey on Applications of Cache-Aided NOMA

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Ieee Communications Surveys and Tutorials 2023年第3期25卷 1571-1603页

作者： Bepari, Dipen Mondal, Soumen Chandra, Aniruddha Shukla, Rajeev Liu, Yuanwei Guizani, Mohsen Nallanathan, Arumugam National Institute of Technology Raipur Department of Electronics and Communication Engineering Raipur492010 India National Institute of Technology Durgapur Department of Electronics and Communication Engineering Durgapur713209 India Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom Mohamed Bin Zayed University of Artificial Intelligence Machine Learning Department Abu Dhabi United Arab Emirates

Contrary to orthogonal multiple-access (OMA), non-orthogonal multiple-access (NOMA) schemes can serve a pool of users without exploiting the scarce frequency or time domain resources. This is useful in meeting the future network requirements (5G and beyond systems), such as, low latency, massive connectivity, users' fairness, and high spectral efficiency. On the other hand, content caching restricts duplicate data transmission by storing popular contents in advance at the network edge which reduces data traffic. In this survey, we focus on cache-aided NOMA-based wireless networks which can reap the benefits of both cache and NOMA;switching to NOMA from OMA enables cache-aided networks to push additional files to content servers in parallel and improve the cache hit probability. Beginning with fundamentals of the cache-aided NOMA technology, we summarize the performance goals of cache-aided NOMA systems, present the associated design challenges, and categorize the recent related literature based on their application verticals. Concomitant standardization activities and open research challenges are highlighted as well. © 1998-2012 Ieee.

关键词： Standardization

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The interactive computer simulation and learning activity for facilitating students' conceptual understanding on the buoyant force through the CoSci learning platform 16

The interactive computer simulation and learning activity fo...

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16th Siam Physics Congress, SPC 2021

作者： Wongsuwan, Wachirawut Huntula, Jiradawan Liu, Chen-Chung Science Education Program Faculty of Education Khon Kaen University Khon Kaen40002 Thailand Graduate Institute of Network Learning Technology National Central University Taoyuan32001 Taiwan

learning science, especially in the physics field, there are many varieties of invisible and abstract phenomena that are hard and difficult for students to observe and learn. One of the tools that can help students to understand those phenomena in a better way is computer simulations. The computer simulations are usually used in both on-site classroom and on-line learning platforms. learning in the COVID-19 pandemic era at present, the computer simulations are very important for helping students to understand the physics concept. Interactive computer simulation can be considered as one of the effective methods of facilitating inquiry learning in science, as it allows students to experience the scientific inquiry process and facilitates students to understand an abstract conception and to understand the relationship between variables of invisible phenomena more clearly in reasonable ways. This study aimed to develop the interactive computer simulation and learning activity for enhancing students' conceptual understanding of the buoyant force on the CoSci learning platform. Totally eighteen participants were studied in the twelfth grade in science classrooms of a university-affiliated school project (SCiUS), Khon Kaen University, Thailand, in 2019. The learning activity was developed based on students' alternative concepts and used to facilitate students' conceptual understanding of the buoyant force. There were six basic concepts related to the buoyant force constructed based on the predict-observe-explain strategy (POe) with the interactive computer simulation (i.e., the CoSci learning platform) in the learning activity. The learning activity on the CoSci learning platform consisted of eight pie charts such as 1) main question pie chart, 2) density pie chart, 3) water level pie chart, 4) volume pie chart, 5) mass pie chart, 6) weight pie chart, 7) submerged depth pie chart, and 8) answer pie chart. There were six interactive computer simulations used in this researc

关键词： Students

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