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arXiv 2024年

作者： Gong, Chaoqun Dai, Yuqin Li, Ronghui Bao, Achun Li, Jun Yang, Jian Zhang, Yachao Li, Xiu Shenzhen International Graduate School Tsinghua University China School of Computer Science and Engineering Nanjing University of Science and Technology China

Generating 3D human models directly from text helps reduce the cost and time of character modeling. However, achieving multi-attribute controllable and realistic 3D human avatar generation is still challenging due to feature coupling and the scarcity of realistic 3D human avatar datasets. To address these issues, we propose Text2Avatar, which can generate realistic-style 3D avatars based on the coupled text prompts. Text2Avatar leverages a discrete codebook as an intermediate feature to establish a connection between text and avatars, enabling the disentanglement of features. Furthermore, to alleviate the scarcity of realistic style 3D human avatar data, we utilize a pre-trained unconditional 3D human avatar generation model to obtain a large amount of 3D avatar pseudo data, which allows Text2Avatar to achieve realistic style generation. Experimental results demonstrate that our method can generate realistic 3D avatars from coupled textual data, which is challenging for other existing methods in this field. Copyright © 2024, The Authors. All rights reserved.

关键词： Three dimensional computer graphics

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The Impact of Recommendation System Provided Based on Online Learning Readiness in the MOOC Environment 24

The Impact of Recommendation System Provided Based on Online...

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24th International Arab Conference on Information technology, ACIT 2023

作者： Murad, Dina Fitria Toha, Mohamad Mayatopani, Hendra Dewi, Meta Amalya Leandros, Riyan Murad, Silvia Ayunda Heryadi, Yaya Wijanarko, Bambang Dwi Bina Nusantara University Information Systems Department Binus Online Learning Jakarta Indonesia Universitas Terbuka Jakarta Indonesia Pradita University Department of Information System Tangerang Indonesia Bina Nusantara University Computer Science Department Binus Graduate Program Doctor of Computer Science Jakarta Indonesia Bina Nusantara University School of Computer Science Jakarta Indonesia

ISBN: (纸本)9798350384307

MOOCs are one of the developments or impacts of e-learning or online learning. Massive Open Online Course (MOOC) is one of the choices for students to increase their knowledge through non-formal channels. Our research aims to determine the level of readiness of students regarding MOOC learning and opportunities for utilizing recommendation systems in students' decision-making regarding selecting MOOCs that suit their interests and needs. We conducted a survey regarding the constraints and needs of learner readiness through 5 aspects, namely 1) technical aspect, (2) social aspect, (3) communication aspect, (4) lecture readiness aspect, and (5) online discussion. The results of this research show that the main challenges that MOOC participants may face in a MOOC environment are Technical Aspects (28.25%), Social Aspects (21.47%), and Communication Aspects (18.93%). Meanwhile, the greatest strength of online learning in the MOOC environment is the social aspect (21%), the most influential and continued with technical and other aspects. Meanwhile, the lecture readiness aspect is quite good, and the online discussion aspect is the biggest aspect that influences the success of MOOC learning. Other results of this research indicate the importance of a recommendation system for MOOC students to make it easier for students to choose the right MOOC according to their interests and needs. © 2023 IEEE.

关键词： MOOC personalization Recommendation system student competency technology Enhanced Learning

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Three-Dimensional Human Posture Rehabilitation Detection Based on Vibe

Three-Dimensional Human Posture Rehabilitation Detection Bas...

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2021 International Conference on Applied Mathematics, Modeling and computer Simulation, AMMCS 2021

作者： Li, Nianfeng Li, Yupeng Li, Lina Li, Yan Xiao, Zhiguo College of Computer Science and Technology Changchun University China Graduate School of Changchun University Changchun University China

ISBN: (纸本)9781643682549

The main manifestation of stroke patients is physical disorder, so physical rehabilitation treatment will also become a very important link. In order to solve this problem, we have researched and developed a physical rehabilitation detection system based on VIBE. System using existing large-scale motion capture data set (AMASS) and unpaired, the laboratory environment points 2D note, by convolution neural network training out a preliminary training model, and then will recover limb disorders of the video input into a network testing, according to the result of parameter judge the body recovery degree of the patients. In addition, the attention mechanism is added in the network to better fit the movements of the body to achieve the real effect. Through the analysis of the test results of rehabilitation video, it is proved that this method has a good effect on the detection of limb rehabilitation. © 2022 The authors and IOS Press.

关键词： Patient rehabilitation

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Evaluation of new CYPHONIC: Overlay network protocol based on Go language

Evaluation of new CYPHONIC: Overlay network protocol based o...

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2022 IEEE International Conference on Consumer Electronics, ICCE 2022

作者： Yoshikawa, Taiki Komura, Hijiri Nishiwaki, Chihiro Goto, Ren Matama, Kazushige Naito, Katsuhiro Graduate School of Business Administration and Computer Science Aichi Institute of Technology Aichi Nagoya Japan Aichi Institute of Technology Faculty of Information Science Aichi Toyota Japan

ISBN: (纸本)9781665441544

The Internet of Things (IoT) spreading requires an interconnection scheme to connect to each IoT device over the Internet. However, the Internet has several issues about accessible difficulty due to the Network Address Port Translation (NAPT) technology, the interoperability between IPv4 and IPv6, and disconnection due to mobility. As a technique for solving these issues, the authors have developed CYber PHysical Over-lay Network over Internet Communication (CYPHONIC) that supports accessibility and seamless mobility over the Internet. Since CYPHONIC nodes typically implement the full IP stack, including IPv4 and IPv6, CYPHONIC supports virtual IPv6 communication over physical IPv4/IPv6 networks. The virtual IPv6 communication provides inter-connectivity among CYPHONIC nodes over the Internet. The conventional implementation for CYPHONIC used ruby language to make a scalable performance. On the contrary, it also suffers from low packet throughput. This paper introduces the detailed implementation of the simple prototype system that supports a primary communication mechanism of CYPHONIC based on Go to increase performance. The developed prototype system consists of cloud service for authentification, CYPHONIC node management, packet relay among CYPHONIC nodes, and client service for CYPHONIC nodes. The evaluation results show that the prototype cloud service can handle increased signaling requests from the CYPHONIC nodes. We also confirmed that CYPHONIC nodes could communicate with sufficient communication quality. © 2022 IEEE.

关键词： Overlay networks

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When quantum dots meet blue phase liquid crystal elastomers:visualized full-color and mechanically-switchable circularly polarized luminescence

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Light(science & Applications) 2024年第6期13卷 1210-1220页

作者： Shan Li Yuqi Tang Qingyan Fan Ziyuan Li Xinfang Zhang Jingxia Wang Jinbao Guo Quan Li Key Laboratory of Carbon Fibers and Functional Polymers Ministry of Educationand College of Materials Science and EngineeringBeijing University of Chemical Technology100029BeijingChina Institute of Advanced Materials and School of Chemistry and Chemical Engineering Southeast UniversityNanjing211189China Materials Science Graduate Program Kent State UniversityKentOH44242USA CAS Key Laboratory of Bio-Inspired Materials and Interfacial Sciences Technical Institute of Physics and ChemistryChinese Academy of Sciences100190BeijingChina

Polymer-based circularly polarized luminescence(CPL)materials with the advantage of diversified structure,easy fabrication,high thermal stability,and tunable properties have garnered considerable ***,adequate and precise tuning over CPL in polymer-based materials remains challenging due to the difficulty in regulating chiral ***,visualized full-color CPL is achieved by doping red,green,and blue quantum dots(QDs)into reconfigurable blue phase liquid crystal elastomers(BPLCEs).In contrast to the CPL signal observed in cholesteric liquid crystal elastomers(CLCEs),the chiral 3D cubic superstructure of BPLCEs induces an opposite CPL ***,this effect is entirely independent of photonic bandgaps(PBGs)and results in a high glum value,even without matching between PBGs and the emission bands of ***,the lattice structure of the BPLCEs can be reversibly switched via mechanical stretching force,inducing on-off switching of the CPL signals,and these variations can be further fixed using dynamic disulfide bonds in the ***,the smart polymer-based CPL systems using the BPLCEs for anti-counterfeiting and information encryption have been demonstrated,suggesting the great potential of the BPLCEs-based CPL active materials.

关键词： circular quantum crystal

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PinchCatcher: Enabling Multi-selection for Gaze+Pinch 25

PinchCatcher: Enabling Multi-selection for Gaze+Pinch

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2025 CHI Conference on Human Factors in Computing Systems, CHI 2025

作者： Kim, Jinwook Park, Sangmin Zhou, Qiushi Gonzalez-Franco, Mar Lee, Jeongmi Pfeuffer, Ken Graduate School of Culture Technology Kaist Daejeon Korea Republic of Department of Computer Science Aarhus University Aarhus Denmark Google SeattleWA United States

ISBN: (纸本)9798400713941

This paper investigates multi-selection in XR interfaces based on eye and hand interaction. We propose enabling multi-selection using different variations of techniques that combine gaze with a semi-pinch gesture, allowing users to select multiple objects, while on the way to a full-pinch. While our exploration is based on the semi-pinch mode for activating a quasi-mode, we explore four methods for confirming subselections in multi-selection mode, varying in effort and complexity: dwell-time (SemiDwell), swipe (SemiSwipe), tilt (SemiTilt), and non-dominant hand input (SemiNDH), and compare them to a baseline technique. In the user study, we evaluate their effectiveness in reducing task completion time, errors, and effort. The results indicate the strengths and weaknesses of each technique, with SemiSwipe and SemiDwell as the most preferred methods by participants. We also demonstrate their utility in file managing and RTS gaming application scenarios. This study provides valuable insights to advance 3D input systems in XR. © 2025 Copyright held by the owner/author(s).

关键词： Extended Reality

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Activation Functions for Detection of Bacteria from Gram Stained Smears Images by YOLOv8 16

Activation Functions for Detection of Bacteria from Gram Sta...

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16th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2024

作者： Kagemoto, Kouya Hirata, Kouichi Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka820-8502 Japan Kyushu Institute of Technology Department of Artificial Intelligence Kawazu 680-4 Iizuka820-8502 Japan

ISBN: (纸本)9798350377903

In this paper, we investigate the activation functions appropriate to detect bacteria from Gram stained smears images by YOLOv8. First, we detect bacteria by replacing all the occurrences of the default activation function SiLU at the convolution layers in YOLOv8 with other activation functions. Next, by focusing on the activation functions providing higher performance than SiLU to detect bacteria, we investigate which of occurrences of SiLU in several convolution layers in YOLOv8 replacing with the activation functions improves the results to detect bacteria. © 2024 IEEE.

关键词： activation function detection of bacteria Gram stained smears images object detection YOLOv8

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Negation Handling on XLNet Using Dependency Parser for Sentiment Analysis

Negation Handling on XLNet Using Dependency Parser for Senti...

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Intelligent Cybernetics technology & Applications (ICICyTA), International Conference on

作者： Ferdinand Winaya Abba Suganda Girsang BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331506490

ISBN: (纸本)9798331506506

Negation handling is often overlooked in Indonesian sentiment analysis, making it difficult to automatically and accurately determine the polarity of sentences containing negation words. Negation is a challenging issue in natural language processing, as it can drastically alter the meaning of a sentence. For example, common Indonesian negation words such as “tidak” (no/not), “belum” (not yet), or “jangan” (do not) can reverse the sentiment polarity in a text. Previous studies have proposed rule-based approaches, relying on linguistic rules or dependency parse trees to handle negation. However, negation is a complex problem that cannot be effectively addressed by simple rules alone, as they often lack flexibility in handling diverse sentence structures and negation complexities. Therefore, a more dynamic approach is needed, such as combining a dependency parser with an embedding layer, which can map syntactic relationships between words and learn vector representations of negation. This allows the model to flexibly determine the scope of negation words, enabling more accurate sentiment analysis even in complex sentences. This study evaluates the impact of negation handling on a transformer-based model, specifically XLNet, in Indonesian sentiment analysis. Using the proposed method, the model's F1 score increased by 2.13%, from 71.42% to 73.55%, compared to the baseline model. This demonstrates that the proposed negation handling strategy enhances sentiment prediction accuracy, making the model more effective at handling texts with negation.

关键词： Sentiment analysis Analytical models Accuracy Syntactics Predictive models Linguistics Transformers Vectors Complexity theory

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Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models 39

Bridging the User-side Knowledge Gap in Knowledge-aware Reco...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Hu, Zheng Li, Zhe Jiao, Ziyun Nakagawa, Satoshi Deng, Jiawen Cai, Shimin Zhou, Tao Ren, Fuji School of Computer Science and Engineering University of Electronic Science and Technology of China China Graduate School of Information Science and Technology University of Tokyo Japan Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China China

ISBN: (纸本)157735897X

In recent years, knowledge graphs have been integrated into recommender systems as item-side auxiliary information, enhancing recommendation accuracy. However, constructing and integrating structural user-side knowledge remains a significant challenge due to the improper granularity and inherent scarcity of user-side features. Recent advancements in Large Language Models (LLMs) offer the potential to bridge this gap by leveraging their human behavior understanding and extensive real-world knowledge. Nevertheless, integrating LLM-generated information into recommender systems presents challenges, including the risk of noisy information and the need for additional knowledge transfer. In this paper, we propose an LLM-based user-side knowledge inference method alongside a carefully designed recommendation framework to address these challenges. Our approach employs LLMs to infer user interests based on historical behaviors, integrating this user-side information with item-side and collaborative data to construct a hybrid structure: the Collaborative Interest Knowledge Graph (CIKG). Furthermore, we propose a CIKG-based recommendation framework that includes a user interest reconstruction module and a cross-domain contrastive learning module to mitigate potential noise and facilitate knowledge transfer. We conduct extensive experiments on three real-world datasets to validate the effectiveness of our method. Our approach achieves state-of-the-art performance compared to competitive baselines, particularly for users with sparse interactions. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Contrastive Learning

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Comparison with Detection of Bacteria from Gram Stained Smears Images by Various Object Detectors 16

Comparison with Detection of Bacteria from Gram Stained Smea...

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16th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2024

作者： Tanaka, Tsubasa Hirata, Kouichi Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka820-8502 Japan Kyushu Institute of Technology Department of Artificial Intelligence Kawazu 680-4 Iizuka820-8502 Japan

ISBN: (纸本)9798350377903

In this paper, we detect bacteria from Gram stained smears images by the object detectors of SSD, M2Det, RT-DETR and YOLOv8. Then, we show that SSD and M2Det are not appropriate for detecting bacteria. Also we show that RT-DETR with pre-training and the variation of YOLOv8 shifting convolution layers are more appropriate to detect bacteria than standard YOLOv8. © 2024 IEEE.

关键词： Bacteria

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