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International Conference on Computing and Networking Technology (ICCNT)

作者： Ommi Balamurali A.M. Abhishek Sai Sruthy Anand Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India Center for Wireless Networks & Applications (WNA) Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

The recent trend in chatbots for several application areas shows their potential to act as a support system to assist users with their needs. However, there is a need to direct efforts to build emotional intelligence into this software to enhance its usability and user experience. Building emotionally intelligent chatbots helps to interpret and respond to users according to their emotions, resulting in rich and healthy user experiences. Understanding irony, sarcasm and Negative emotions of the user are important aspects of sentimental analysis as they largely affect the emotional tone. This research utilises Long Short-Term Memory (LSTM) networks, to enhance chatbot sentiment analysis. In our experimentation, we leverage a dataset comprising over a million comments from Reddit, distinguishing between sarcastic and non-sarcastic expressions, to train and test our LSTM model. Along with the utilization of LSTMs Networks for sentiment analysis in the chatbot, the experiment incorporates BERT, a Transformer model architecture, to further enhance the chatbot’s capacity to recognize and react to sarcasm and satire. Using BERT’s capacity for contextual comprehension and pre-trained languages, the conversational agent can resonate with the user’s input tone and intent, whether they are sarcastic or not.

关键词： Sentiment analysis Social networking (online) Chatbots Transformers Data models User experience Software Artificial intelligence Usability Long short term memory

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Creation of cylindrical vector beams through highly anisotropic scattering media with a single scalar transmission matrix calibration

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Photonics Research 2022年第7期10卷 1617-1623页

作者： QIAN ZHAO SHIJIE TU QIANNAN LEI CHENGSHAN GUO QIWEN ZHAN YANGJIAN CAI Shandong Provincial Engineering and Technical Center of Light Manipulations&Shandong Provincial Key Laboratory of Optics and Photonic Device School of Physics and ElectronicsShandong Normal UniversityJinan 250358China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Physical Science and Technology Soochow UniversitySuzhou 215006China

Cylindrical vector(CV)beams have attracted increasing interest due to their particular properties and their applications in optical imaging,optical manipulation,and light-matter ***,it is challenging to construct CV beams through highly anisotropic scattering media(HASM),such as thick biological tissue,posing a barrier to the applications of CV beams that involve ***,we present a scheme to construct CV beams beyond high scattering that only requires a single scalar transmission matrix(TM)calibration and manipulation of the spatial degrees of freedom of the scalar input *** by a radial polarization converter(S-waveplate)and a polarizer,the scheme enables one to obtain the correct incident wavefront for the creation of CV beams through HASM with only one single scalar TM *** to the existing method,this user-friendly approach is fast and simple in terms of the optical implements and *** radially and azimuthally polarized beams are experimentally constructed through a Zn O scattering layer to demonstrate the viability of the *** generalized CV beams and arrays of CV beams are also created through the HASM to further prove the flexibility of the *** believe this work may pave the way for applications of CV beams that involve a highly anisotropic scattering environment.

关键词： method scalar anisotropic

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EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation 39

EchoDiffusion: Waveform Conditioned Diffusion Models for Ech...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Zhang, Wenjie Yin, Jun Ma, Long Yu, Peng Jiang, Xiaoheng Tian, Zhen Xu, Mingliang School of Computer Science and Artificial Intelligence Zhengzhou University Zhengzhou450001 China Engineering Research Center of Intelligent Swarm Systems Ministry of Education Zhengzhou450001 China National Supercomputing Center in Zhengzhou Zhengzhou450001 China

ISBN: (纸本)157735897X

To extract spatial information, depth estimation using conventional echo-based methods typically employs models with encoder-decoder architectures, such as UNet. However, these methods may face challenges in extracting fine details from echo waveforms and handling multi-scale feature extraction with high precision. To address these challenges, we introduce EchoDiffusion, a framework that incorporates diffusion models conditioned on waveform embeddings for echo-based depth estimation. This framework employs the Multi-Scale Adaptive Latent Feature Network (MALF-Net) to extract multi-scale spatial features and perform adaptive fusion, encoding the echo spectrograms into the latent space. Additionally, we propose the Echo Waveform Detail Embedder (EWDE), which leverages a pre-trained Wav2Vec model to extract detailed spatial information from echo waveforms, using these details as conditional inputs to guide the reverse diffusion process in the latent space. By embedding the echo waveforms into the reverse diffusion process, we can more accurately guide the generation of depth maps. Our extensive evaluations on the Replica and Matterport3D datasets demonstrate that EchoDiffusion establishes new benchmarks for state-of-the-art performance in echo-based depth estimation. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

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Long-Term Preservation of Electronic Record Based on Digital Continuity in Smart Cities

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computers, Materials & Continua 2021年第3期66卷 3271-3287页

作者： Yongjun Ren Kui Zhu Yuqiu Gao Jinyue Xia Shi Zhou Ruiguo Hu Xiujuan Feng School of Computer and Software Engineering Research Center of Digital ForensicsMinistry of EducationNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China Changwang School of Honors Nanjing University of Information Science&TechnologyNanjing210044China International Business Machines Corporation(IBM) USA School of Architectural and Surveying&Mapping Engineering Jiangxi University of Science and TechnologyGan Zhou341000China

Under the co-promotion of the wave of urbanization and the rise of data science,smart cities have become the new concept and new practice of urban *** cities are the combination of information technology represented by the Internet of Things,cloud computing,mobile networks and big data,and *** to effectively achieve the long-term preservation of massive,heterogeneous,and multi-source digital electronic records in smart cities is a key issue thatmust be *** continuity can ensure the accessibility,integrity and availability of *** quality management of electronic record,like the quality management of product,will run through every phase of the urban *** on data quality management,this paper constructs digital continuity of smart city electronic ***,thework in this paper ensures the authenticity,integrity,availability and timeliness of electronic documents by quality management of electronic *** paper elaborates on the overall technical architecture of electronic record,as well as the various technical means needed to protect its four characteristics.

关键词： Smart city electronic record long term preservation digital continuity

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SoftTouch: A Sensor-Placement Framework for Soft Robotic Hands

SoftTouch: A Sensor-Placement Framework for Soft Robotic Han...

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IEEE-RAS International Conference on Humanoid Robots

作者： Chao Li Nancy Pollard Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Robotics Institute School of Computer Science Carnegie Mellon University Pittsburgh PA USA

ISBN: (纸本)9798350309805

Sensor placement for grasping tasks in conventional robotic hands has been extensively studied, with goals including sensorizing essential contact areas or determining the effect of number of sensors on performance. However, with the new generation of dexterous soft robotic hands that deform to the shape of the object, the former frameworks may not be sufficient. In particular, we find that real-world experiments are essential to determine the value of different sensors and the effect of different sensor placements due to the complex interactions between the deformable robot body, sensor material properties, and sensor and task performance. In this paper, we propose a sensor-placement framework for dexterous soft robotic hands that is easily reconfigurable to different hand designs using off-the-shelf sensors. Our three-step framework selects and evaluates candidate sensor configurations to de-termine the effectiveness of sensors in each configuration for estimating qualitative and quantitative manipulation metrics. We tested our framework on a soft robotic hand to select the optimum sensor placement for a given set of manipulation patterns using force and inertial sensors. Our studies show that sensors placed at contact points are best for predicting the qualitative success of the manipulation. However, when it comes to estimating quantitative manipulation metrics, off-the-shelf sensors placed at contact points decrease performance for some manipulation types. This performance decrease may be due to the disturbance they create to surface texture, deformation patterns, and weight of soft robotic systems.

关键词： Measurement Sensor placement Shape Humanoid robots Soft robotics Robot sensing systems Surface texture

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A Priority-Aware AI-Generated Content Resource Allocation Method for Multi-UAV Aided Metaverse

A Priority-Aware AI-Generated Content Resource Allocation Me...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Zhang, Zheng Wang, Jingjing Chen, Jianrui Fang, Zhengru Jiang, Chunxiao Han, Zhu School of Cyber Science and Technology Beihang University Beijing China City University of Hong Kong Department of Computer Science Hong Kong Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China University of Houston Department of Electrical and Computer Engineering HoustonTX United States

ISBN: (纸本)9798350368369

With the advancement of large model technologies, AI -generated content is gradually emerging as a mainstream method for content creation. The metaverse, as a key application scenario for the next-generation communication technologies, heavily depends on advanced content generation technologies. Nevertheless, the diverse types of metaverse applications and their stringent real-time requirements constrain the full potential of AIGC technologies within this environment. In order to tackle with this problem, we construct a priority-aware multi-UAV aided metaverse system and formulate it as a Markov decision process (MDP). We propose a diffusion-based reinforcement learning algorithm to solve the resource allocation problem and demonstrate its superiority through enough comparison and ablation experiments. © 2025 IEEE.

关键词： Drones

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A Data-Driven Approach Towards Software Regression Testing Quality Optimization 25

A Data-Driven Approach Towards Software Regression Testing Q...

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25th International Arab Conference on Information Technology, ACIT 2024

作者： Moubayed, Abdallah Alhindawi, Nouh Alsakran, Jamal Injadat, MohammadNoor Kanan, Mohammad King Fahd University of Petroleum & Minerals Computer Engineering Department Interdisciplinary Research Center for Intelligent Secure Systems Dhahran Saudi Arabia Arizona State University School of Computing and Augmented Intelligence GilbertAZ United States Jadara University Department of Software Engineering Irbid Jordan Fairleigh Dickinson University Canada Zarqa University Data Science & Artificial Intelligence Department Zarqa Jordan University of Business and Technology Department of Industrial Engineering Jeddah Saudi Arabia

ISBN: (纸本)9798331540012

Software testing is very important in software development to ensure its quality and reliability. As software systems have become more complex, the number of test cases has increased, which presents the challenge of executing all the tests in a limited time frame. Various test case prioritization techniques have been introduced to solve this problem. These methods aim to identify and implement the most critical tests first. In this paper, we propose an implementation of a dynamic test case prioritization strategy to improve software quality by increasing code coverage with special attention to edge case handling. Edge case test prioritization is a technique that improves test efficiency by selecting extreme case scenarios that can reveal critical bugs or unexpected behavior early in development, improving overall software reliability and dependability. In order to prioritize test cases, this paper presents a regression-based method that makes use of machine learning algorithms. The approach leverages previous performance data to optimize regression testing efficiency by examining variables like test time and execution status. Performance evaluations, when compared against industry standards and cutting-edge techniques, show how effective these algorithms are at correctly prioritizing test cases and identifying faults. This study offers simplified yet reliable solutions for regression testing optimization by shedding light on the efficacy of regression algorithms, such as Random Forest and decision trees. © 2024 IEEE.

关键词： Software testing

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Human lunar base:“Lunar Palace 1”team of Beihang University unveils China’s“Lunar Palace”plan

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The Innovation 2024年第2期5卷 3-4页

作者： Hui Liu Zhikai Yao Hong Liu Institute of Environmental Biology and Life Support Technology School of Biological Science and Medical EngineeringBeihang UniversityBeijing 100083China Internet Joint Research Center of Aerospace Biotechnology&Medical Engineering Beihang UniversityBeijing 100083China State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100083China

Recently,the“Lunar Palace 1”team of Beihang University,China,in response to the long-term habitation and healthcare of humans on the Moon,released the“Lunar Palace”plan through the official account“Beihang University”on WeChat’s video *** the development of crewed deep-space exploration,human permanent residence on the Moon is no longer an unattainable dream but an anticipated *** on the Moon will live in a Lunar Palace equipped with a bioregenerative life support system(BLSS),creating an Earth-like environment,much like the Lunar Palace 1 facility on Earth.

关键词： Earth Human equipped

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Counting Answers to Unions of Conjunctive Queries: Natural Tractability Criteria and Meta-Complexity

arXiv

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arXiv 2023年

作者： Focke, Jacob Goldberg, Leslie Ann Roth, Marc Živný, Stanislav CISPA Helmholtz Center for Information Security Saarbrücken Germany Department of Computer Science University of Oxford United Kingdom School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom

We study the problem of counting answers to unions of conjunctive queries (UCQs) under structural restrictions on the input query. Concretely, given a class C of UCQs, the problem #UCQ(C) provides as input a UCQ Ψ ∈ C and a database D and the problem is to compute the number of answers of Ψ in D. Chen and Mengel [PODS’16] have shown that for any recursively enumerable class C, the problem #UCQ(C) is either fixed-parameter tractable or hard for one of the parameterised complexity classes W[1] or #W[1]. However, their tractability criterion is unwieldy in the sense that, given any concrete class C of UCQs, it is not easy to determine how hard it is to count answers to queries in C. Moreover, given a single specific UCQ Ψ, it is not easy to determine how hard it is to count answers to Ψ. In this work, we address the question of finding a natural tractability criterion: The combined conjunctive query of a UCQ Ψ = φ1 ∨···∨φ is the conjunctive query ∧(Ψ) = φ1∧···∧φ. We show that under natural closure properties of C, the problem #UCQ(C) is fixed-parameter tractable if and only if the combined conjunctive queries of UCQs in C, and their contracts, have bounded treewidth. A contract of a conjunctive query is an augmented structure, taking into account how the quantified variables are connected to the free variables — if all variables are free, then a conjunctive query is equal to its contract;in this special case the criterion for fixed-parameter tractability of #UCQ(C) thus simplifies to the combined queries having bounded treewidth. Finally, we give evidence that a closure property on C is necessary for obtaining a natural tractability criterion: We show that even for a single UCQ Ψ, the meta problem of deciding whether #UCQ({Ψ}) can be solved in time O(|D|d) is NP-hard for any fixed d ≥ 1. Moreover, we prove that a known exponential-time algorithm for solving the meta problem is optimal under assumptions from fine-grained complexity theory. As a corollary of our reductio

关键词： Query processing

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L-CAD: language-based colorization with any-level descriptions using diffusion priors 23

L-CAD: language-based colorization with any-level descriptio...

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Proceedings of the 37th International Conference on Neural Information Processing Systems

作者： Zheng Chang Shuchen Weng Peixuan Zhang Yu Li Si Li Boxin Shi School of Artificial Intelligence Beijing University of Posts and Telecommunications National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University and National Engineering Research Center of Visual Technology School of Computer Science Peking University International Digital Economy Academy

Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions. Previous methods implicitly assume that users provide comprehensive color descriptions for most of the objects in the image, which leads to suboptimal performance. In this paper, we propose a unified model to perform language-based colorization with any- level descriptions. We leverage the pretrained cross-modality generative model for its robust language understanding and rich color priors to handle the inherent ambiguity of any-level descriptions. We further design modules to align with input conditions to preserve local spatial structures and prevent the ghosting effect. With the proposed novel sampling strategy, our model achieves instance-aware colorization in diverse and complex scenarios. Extensive experimental results demonstrate our advantages of effectively handling any-level descriptions and outperforming both language-based and automatic colorization methods. The code and pretrained models are available at: https://***/changzheng123/L-CAD.

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