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31st International Conference on Computational Linguistics, COLING 2025

作者： Chen, Junhao Li, Xiang Ye, Xiaojun Li, Chao Fan, Zhaoxin Zhao, Hao Tsinghua University China Tsinghua Shenzhen International Graduate School Tsinghua University China School of Software and Microelectronics Peking University China College of Computer Science Zhejiang University China College of Computer Science and Technology Harbin Engineering University China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing School of Artificial Intelligence Beihang University China

ISBN: (纸本)9798891761964

With the success of 2D diffusion models, 2D AIGC content has already transformed our lives. Recently, this success has been extended to 3D AIGC, with state-of-the-art methods generating textured 3D models from single images or text. However, we argue that current 3D AIGC methods still don't fully unleash human creativity. We often imagine 3D content made from multimodal inputs, such as what it would look like if my pet bunny were eating a doughnut on the table. In this paper, we explore a novel 3D AIGC approach: generating 3D content from IDEAs. An IDEA is a multimodal input composed of text, image, and 3D models. To our knowledge, this challenging and exciting 3D AIGC setting has not been studied before. We propose the new framework Idea23D, which combines three agents based on large multimodal models (LMMs) and existing algorithmic tools. These three LMM-based agents are tasked with prompt generation, model selection, and feedback reflection. They collaborate and critique each other in a fully automated loop, without human intervention. The framework then generates a text prompt to create 3D models that align closely with the input IDEAs. We demonstrate impressive 3D AIGC results that surpass previous methods. To comprehensively assess the 3D AIGC capabilities of Idea23D, we introduce the Eval3DAIGC-198 dataset, containing 198 multimodal inputs for 3D generation tasks. This dataset evaluates the alignment between generated 3D content and input IDEAs. Our user study and quantitative results show that Idea23D significantly improves the success rate and accuracy of 3D generation, with excellent compatibility across various LMM, Text-to-Image, and Image-to-3D models. Code and dataset are available at https://***/. © 2025 Association for Computational Linguistics.

关键词： Computational linguistics

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Improvement of Visual Odometry Based on Robust Feature Extraction Considering Semantics

Improvement of Visual Odometry Based on Robust Feature Extra...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Miho Adachi JunFeng Xue Kazufumi Honda Marin Wada Ryusuke Miyamoto Department of Computer Science Graduate School of Science and Technology Department of Computer Science School of Science and Technology Meiji University Kawasaki Japan

Visual odometry is a key technology for an autonomous robot to accurately determine its locations on a map accurately if a camera is the main external sensor. If IMU is available, the scale information can also be estimated by combining visual and IMU information, which is called Visual Inertial Odometry (VIO). This research attempts to modify VINS-Mono, a widely used VIO method, to improve the estimation accuracy in symbiotic environments with people in outdoor scenes, where estimation accuracy becomes worsens according to the dynamic obstacles in images. The proposed method replaces a method for feature point extraction in VINS-Mono and adds a process to limit the area for the feature point extraction using semantic information obtained from segmentation results. Experimental results using datasets created from actual environments demonstrate that SuperPoint showed the best accuracy for most scenes and that area limitation improved estimation accuracy when many dynamic obstacles were included in the input images.

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Audiovisual Groupcast QoE Enhancement by Switching Unsolicited Retry and Block Ack over a Wireless LAN

Audiovisual Groupcast QoE Enhancement by Switching Unsolicit...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Minoru Ishida Toshiro Nunome Computer Science Program Graduate School of Engineering Nagoya Institute of Technology Nagoya Japan

In this paper, we propose a switching scheme of GCR Block Ack and GCR Unsolicited Retry, standardized in IEEE 802.11aa, according to network conditions for video and audio groupcast over wireless LANs. We utilize three transmission modes in the proposed method: GCR Block Ack with four retries, GCR Block Ack with two retries, and GCR Unsolicited Retry with twice transmission. The proposed method is compared with the three individual methods by computer simulation under various network conditions to evaluate application-level QoS. We then assess QoE by a subjective experiment. We show that the proposed method can choose an appropriate mode and achieve better QoE than the individual methods.

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Data Mining and Bioinformatics Approaches to Elucidate Bacterial Communities in the Extreme Environment

Data Mining and Bioinformatics Approaches to Elucidate Bacte...

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2023 International Conference on Informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023

作者： Trinugroho, Joko Pebrianto Hidayat, Alam Ahmad Nirwantono, Rudi Asadi, Faisal Pardamean, Bens Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Bioinformatics and Data Science Research Center Mathematics Department Jakarta11480 Indonesia Bina Nusantara University Faculty of Engineering Bioinformatics and Data Science Research Center Biotechnology Department Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Bioinformatics and Data Science Research Center Computer Science Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350307306

Bacteria are microscopic organisms that can be found in many environments. They are abundant and have many roles in our life. Studying bacteria is essential so that we can identify the bacteria that are needed for many industrial applications. However, the main problem is that majority of the bacteria are unculturable, hampering the exploration of bacteria from different environments. Metagenomics approach which employs Next Generation Sequencing technology could help study bacteria by utilizing 16S rRNA marker gene. This study aims to demonstrate data mining and bioinformatics approaches to analyze 16S rRNA sequencing data. The raw sequencing data of 16S rRNA was collected from biological database. Then, the data were trimmed, denoised, and clustered to generate Amplicon Sequence Variants (ASVs). Diversity (alpha and beta) and taxonomic analyses were then conducted to elucidate the bacterial diversity and taxonomic profile of ASVs. The results of this work showed that Shannon and PD indices in China's hot spring were higher than Singapore and the USA. Furthermore, a significant difference was observed in the PD index. The unweighted UniFrac distance also showed there was a significant difference of the bacterial communities between the three locations. In addition, the taxonomic investigation unveiled prevalent bacterial groups in the ecosystem, namely Proteobacteria, Chloroflexi, Cyanobacteria, and Crenarchaeota. The research outcomes have the potential to serve as a foundational resource for subsequent bacterial metagenomic research, particularly the hot spring environment. © 2023 IEEE.

关键词： Bacteria

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Conservative Likelihood Ratio Estimator for Infrequent Data Slightly above a Frequency Threshold 9

Conservative Likelihood Ratio Estimator for Infrequent Data ...

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9th International Conference on Advanced Informatics: Concepts, Theory and Applications, ICAICTA 2022

作者： Kikuchi, Masato Kusakabe, Yuhi Ozono, Tadachika Nagoya Institute of Technology Graduate School of Engineering Department of Computer Science Aichi Nagoya Japan

ISBN: (数字)9781665456685

ISBN: (纸本)9781665456685

A naive likelihood ratio (LR) estimation using the observed frequencies of events can overestimate LRs for infrequent data. One approach to avoid this problem is to use a frequency threshold and set the estimates to zero for frequencies below the threshold. This approach eliminates the computation of some estimates, thereby making practical tasks using LRs more efficient. However, it still overestimates LRs for low frequencies near the threshold. This study proposes a conservative estimator for low frequencies, slightly above the threshold. Our experiment used LRs to predict the occurrence contexts of named entities from a corpus. The experimental results demonstrate that our estimator improves the prediction accuracy while maintaining efficiency in the context prediction task. © 2022 IEEE.

关键词： Efficiency

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An IoT-Driven Fuzzy Decision Model for Determining Room Comfort

An IoT-Driven Fuzzy Decision Model for Determining Room Comf...

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Informatics International Conference (BTS-I2C), Beyond technology Summit on

作者： Ditdit Nugeraha Utama John Reigton Hartono Johan Muliadi Kerta Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia Bina Nusantara University School of Computer Science Computer Science Bandung Indonesia

ISBN: (数字)9798331508579

ISBN: (纸本)9798331508586

The use of the Internet of Things (IoT) has been widely adopted for a lot of purposes. Business process automation is one type of implementation that has been carried out. In addition, the data successfully captured by the IoT ecosystem can be utilized for various computer modeling needs, including the decision model construction in assessing room quality. The decision model itself is a computer model supporting the decision maker in decision making process. This research, via four simple research stages, aims to develop an IoT-based decision model to evaluate room quality based on two parameters: temperature and humidity. The design of the IoT environment and the implementation of temperature and humidity data readings in a room are used as input data for a decision model to assess the comfort level of the room. In this study, the primary method used to design the model is object-oriented, while fuzzy logic is employed to build the model. The developed decision model can simulate data captured from the designed IoT ecosystem, successfully assessing the comfort level of a room. From the simulation results using 18 data points (from 9 days of data capturing) captured by temperature and humidity sensors, the average comfort level of the room was found to be 19.7873.

关键词： Temperature sensors Fuzzy logic Temperature distribution Object oriented modeling Computational modeling Simulation Ecosystems Humidity Data models Internet of Things

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High Quality Consistent Digital Curved Rays via Vector Field Rounding 39

High Quality Consistent Digital Curved Rays via Vector Field...

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39th International Symposium on Theoretical Aspects of computer science, STACS 2022

作者： Tokuyama, Takeshi Yoshimura, Ryo Department of Computer Science School of Engineering Kwansei Gakuin University Sanda Japan Graduate School of Information Science and Technology The University of Tokyo Japan

ISBN: (纸本)9783959772228

We consider the consistent digital rays (CDR) of curved rays, which approximates a set of curved rays emanating from the origin by the set of rooted paths (called digital rays) of a spanning tree of a grid graph. Previously, a construction algorithm of CDR for diffused families of curved rays to attain an O(√n log n) bound for the distance between digital ray and the corresponding ray is known [11]. In this paper, we give a description of the problem as a rounding problem of the vector field generated from the ray family, and investigate the relation of the quality of CDR and the discrepancy of the range space generated from gradient curves of rays. Consequently, we show the existence of a CDR with an O(log1.5 n) distance bound for any diffused family of curved rays. © Takeshi Tokuyama and Ryo Yoshimura.

关键词： Computational geometry

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A Data Analysis Method Using Orthogonal Transformation in a Reproducing Kernel Hilbert Space

A Data Analysis Method Using Orthogonal Transformation in a ...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Qu, Lingxiao Pei, Yan Li, Jianqiang Graduate School of Computer Science and Engineering University of Aizu Fukushima Aizuwakamatsu965-8580 Japan Beijing University of Technology Faculty of Information Technology Beijing100124 China

ISBN: (纸本)9798350337020

We propose a data analysis method that combines the objectives of nonlinear principal component analysis and nonlinear discriminant analysis with the kernel method in a reproducing kernel Hilbert space. This method addresses nonlinear data analysis problems in high-dimensional spaces, specifically the reproducing kernel Hilbert space, through the use of the kernel trick. Our proposed method can be considered as a semi-supervised data analysis approach. We evaluate our proposed method using various kernel functions and datasets, both visually and quantitatively. The evaluation results demonstrate that our proposal outperforms kernel principal component analysis and generalized discriminant analysis in terms of classification performance. This indicates the advantages and originality of our proposed method. Furthermore, we analyze and discuss our findings based on the evaluation results, and highlight potential areas for further research and future work related to our proposal. © 2023 IEEE.

关键词： Data Analysis Method Data science Kernel Method Linear Discriminant Analysis Principal Component Analysis

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Applying the Diamond Model of Intrusion Analysis: Brazil's Operation 'Car Wash' Cyberattack

Applying the Diamond Model of Intrusion Analysis: Brazil's O...

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2022 International Symposium on Networks, computers and Communications, ISNCC 2022

作者： Ximenes, Pablo Mello, Patricia School of Cybersecurity and Privacy College of Computing Atlanta United States Computer Science Graduate Program Fortaleza Brazil

ISBN: (数字)9781665485449

ISBN: (纸本)9781665485449

This paper uses the Diamond Model of intrusion analysis to discuss the intricacies and unfoldings of the cyberattack that enabled Operation 'Car Wash' leak (nicknamed 'VazaJato'), one of the most significant leaks in Brazil's political history. Our discussion tries to understand the cyberattack that took place in a threat intelligence perspective and, as a result, it draws conclusions and presents an assessment and some recommendations with regards to cybersecurity policy. © 2022 IEEE.

关键词： Cybersecurity

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Electrolyte accessibility of non-precious-metal catalysts with different spherical particle sizes under alkaline conditions for oxygen reduction reaction

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Journal of Energy Chemistry 2021年第1期30卷 326-331,I0011页

作者： Jiyeon Lee Jong Gyeong Kim Chanho Pak Graduate Program of Energy Technology School of Integrated TechnologyInstitute of Integrated TechnologyGwangju Institute of Science and TechnologyGwangju 61005Republic of Korea

Fuel cells are one of the most competitive alternative energy sources because their theoretical efficiency is~15%higher than that of internal combustion engines (ICEs) and they are considered cleaner and *** fuel cells are used to replace ICEs in cars and energy conversion systems,the system efficiency increases;furthermore,the process becomes more environmentally-friendly because fuel cells produce electricity by using only hydrogen and oxygen,obtained by purifying atmospheric air by filtering out dust and ***,their final product is only water,instead of pollutants like carboFuel cells are one of the most competitive alternative energy sources because their theoretical efficiency is~15%higher than that of internal combustion engines (ICEs) and they are considered cleaner and *** fuel cells are used to replace ICEs in cars and energy conversion systems,the system efficiency increases;furthermore,the process becomes more environmentally-friendly because fuel cells produce electricity by using only hydrogen and oxygen,obtained by purifying atmospheric air by filtering out dust and ***,their final product is only water,instead of pollutants like carbon dioxide.n dioxide.

关键词： Non-precious-metal catalyst Oxygen reduction reaction Size effect Electrolyte accessibility Alkaline fuel cell

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