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Complete The Last Mile: Delivery Problems in the quantum Computing

IEEE Nanotechnology Magazine 2023年第2期17卷 9-14页

作者： Liao, Pei Yen Bhie, Santos Jay Ou, Chia-Ho Chen, Chih-Yu Chang, Ching-Ray National Taiwan University Department of Mathematics Taipei Taiwan Chung Yuan Christian University Department of Electrical Engineering Taoyuan Taiwan National Pingtung University Department of Computer Science and Information Engineering Pingtung Taiwan Chung Yuan Christian University Quantum Information Center Taoyuan Taiwan

In social networks, delivery-related concerns are perennially significant and challenging. Another noteworthy and captivating development is the development of quantum computing or quantum-inspired computing. Combining these two fields is not only timely but natural and necessary in the current environment of data explosion. The current strengths and challenges of quantum computing were put together in addressing delivery problems as an example and provide a collection and analysis of existing approaches to last-mile delivery. The purpose of this paper is to help people to understand how to use quantum computing to quickly solve delivery problems and find the potential niche market in highly competitive big data environments. © 2007-2011 IEEE.

关键词： Directed graphs

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Slot and Intent Detection Resources for Bavarian and Lithuanian: Assessing Translations vs Natural Queries to Digital Assistants 30

Slot and Intent Detection Resources for Bavarian and Lithuan...

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joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Winkler, Miriam Juozapaityte, Virginija van der Goot, Rob Plank, Barbara MaiNLP Lab Center for Information and Language Processing LMU Munich Germany Munich Germany Department of Computer Science IT University of Copenhagen Denmark

ISBN: (纸本)9782493814104

Digital assistants perform well in high-resource languages like English, where tasks like slot and intent detection (SID) are well-supported. Many recent SID datasets start including multiple language varieties. However, it is unclear how realistic these translated datasets are. Therefore, we extend one such dataset, namely xSID-0.4 (van der Goot et al., 2021a;Aepli et al., 2023), to include two underrepresented languages: Bavarian, a German dialect, and Lithuanian, a Baltic language. Both language variants have limited speaker populations and are often not included in multilingual projects. In addition to translations we provide "natural" queries to digital assistants generated by native speakers. We further include utterances from another dataset for Bavarian to build the richest SID dataset available today for a low-resource dialect without standard orthography. We then set out to evaluate models trained on English in a zero-shot scenario on our target language variants. Our evaluation reveals that translated data can produce overly optimistic scores. However, the error patterns in translated and natural datasets are highly similar. Cross-dataset experiments demonstrate that data collection methods influence performance, with scores lower than those achieved with single-dataset translations. This work contributes to enhancing SID datasets for underrepresented languages, yielding NaLiBaSID, a new evaluation dataset for Bavarian and Lithuanian. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Translation (languages)

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IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish 30

IndirectQA: Understanding Indirect Answers to Implicit Polar...

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joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Müller, Christin Plank, Barbara MaiNLP Lab Center for Information and Language Processing LMU Munich Germany Munich Germany Department of Computer Science IT University of Copenhagen Denmark

ISBN: (纸本)9782493814104

Polar questions are common in dialogue and expect exactly one of two answers (yes/no). It is however not uncommon for speakers to bypass these expected choices and answer, for example, "Islands are generally by the sea" to the question: "An island? By the sea?". While such answers are natural in spoken dialogues, conversational systems still struggle to interpret them. Seminal work to interpret indirect answers were made in recent years-but only for English and with strict question formulations. In this work, we present a new corpus for French and Spanish-IndirectQA -where we mine subtitle data for indirect answers to study the labeling task with six different labels, while broadening polar questions to include also implicit polar questions (statements that trigger a yes/no-answer which are not necessarily formulated as a question). We opted for subtitles since they are a readily available source of conversation in various languages, but also come with peculiarities and challenges which we will discuss. Overall, we provide the first results on French and Spanish. They show that the task is challenging: the baseline accuracy scores drop from 61.43 on English to 44.06 for French and Spanish. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Annotation Corpora Indirect Answers Natural Language Understanding

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A novel deep learning approach for investigating liquid fuel injection in combustion system

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Discover Artificial Intelligence 2025年第1期5卷 1-14页

作者： Inam, Syed Azeem Khan, Abdullah Ayub Ahmed, Noor Mazhar, Tehseen Shahzad, Tariq Khan, Sunawar Saeed, Mamoon M. Hamam, Habib Department of Artificial Intelligence and Mathematical Science Sindh Madressatul Islam University Sindh Karachi Pakistan Department of Computer Science and Information Technology Shaheed Benazir Bhutto University Lyari Karachi Pakistan Department of Computer Science Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology Karachi Pakistan Department of Computer Science School Education Department Government of Punjab Layyah31200 Pakistan School of Computer Science National College of Business Administration and Economics Lahore54000 Pakistan Department of Computer Engineering COMSATS University Islamabad Sahiwal Campus Sahiwal57000 Pakistan Department of Software Engineering Islamia University of Bahawalpur Bahawalnagar62300 Pakistan Sana’a00967 Yemen Faculty of Engineering Uni de Moncton MonctonNBE1A3E9 Canada Department of Electrical and Electronic Engineering Sciences University of Johannesburg Johannesburg South Africa Av. Grandes Ecoles BP 1989 Libreville Gabon Bridges for Academic Excellence Spectrum Center-ville Tunis Tunisia

The intricacies and instability of introducing cryogenic propellants into the combustion system have piqued the curiosity of scientists studying the procedure. The latest innovation is utilizing data-driven machine learning and deep learning approaches to gain deeper insights into the related difficulties. However, the current work serves as a baseline for future research because relatively few studies have used data-driven methodologies to assess the temperature of liquid fuel injections in combustion systems. The performance of Linear Regression (LR), Random Forest (RF), Extra Trees Regressor (ETR), Polynomial Regression (PR), Support Vector Regressor (SVR), Decision Tree Regressor (DTR), Gradient Boost Regressor (GBR), XGB Regressor (XGBoost), AdaBoost Regressor (ABR), K-Neighbors Regressor (KNR), Long-Short Term Memory (LSTM), Bi-LSTM (Bi-directional Long-Short Term Memory) has all been investigated in this study. The study also suggested a Fully Connected Neural Network (FCNN) to examine its performance and paired it with an Extra Tree Regressor (ETR). The coupled FCNN and Extra Tree Regressor outperform the other algorithms with a Mean Square Error (MSE) of 0.0000005062, Root Mean Square Error (RMSE) of 0.00071148, Mean Absolute Error (MAE) of 0.00020672, and R-squared (R2) value of 0.99998689. Linear Regression, Polynomial Regression, and Support Vector Regressor are found to be the least-performing algorithms. The current work uses machine learning and deep learning methods to make data-driven decisions for liquid fuel injection in the combustion system. © The Author(s) 2025.

关键词： Deep learning

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Performance Analysis of Intelligent Reflecting Surface-aided NR-V2X Sidelink Communications 100

Performance Analysis of Intelligent Reflecting Surface-aided...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Rehman, Abdul Di Marco, Piergiuseppe Valentini, Roberto Santucci, Fortunato University of L'Aquila Center of Excellence EX-EMERGE Department of Information Engineering Computer Science and Mathematics L'Aquila67100 Italy

ISBN: (纸本)9798331517786

Intelligent Reflective Surfaces (IRSs) enable controlling the radio propagation environment to enhance wireless communications and are particularly relevant for vehicle-to-everything (V2X) applications. This paper explores the integration of IRSs for virtual line-of-sight (VLOS) propagation in urban vehicle platoons that operate with New Radio (NR)-V2X mode 2 sidelink communications and proposes a semi-analytical framework to assess the performance of such systems. The framework considers the availability of resources, the number of interference vehicles, and their relative positions. A Nakagami-Lognormal composite channel model is assumed to describe the propagation environment. This approach provides a cost-effective and accurate estimate of packet success rates, facilitating optimal configuration and parameter adjustments for vehicle platoons. We demonstrate that under typical inter-vehicle distances and with large numbers of vehicles, VLOS communication via IRS can even surpass the performance of conventional Line-of-Sight (LOS) scenarios. © 2024 IEEE.

关键词： Radio communication

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Reviews of Modern Physics 2025年第2期97卷 025002-025002页

作者： Peter J. Mohr David B. Newell National Institute of Standards and Technology Gaithersburg Maryland 20899 USA National Institute of Standards and Technology Gaithersburg Maryland 20899 USA and Joint Quantum Institute and Joint Center for Quantum Information and Computer Science College Park Maryland 20742 USA

We report the 2022 self-consistent values of constants and conversion factors of physics and chemistry recommended by the Committee on Data of the International science Council (CODATA). The recommended values can also be found at https://***/constants. The values are based on a least-squares adjustment that takes into account all theoretical and experimental data available through December 31, 2022. A discussion of the major improvements as well as inconsistencies within the data is given.

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Salient Co-Speech Gesture Synthesizing with Discrete Motion Representation 48

Salient Co-Speech Gesture Synthesizing with Discrete Motion ...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Ye, Zijie Jia, Jia Wu, Haozhe Huang, Shuo Sun, Shikun Xing, Junliang Tsinghua University Department of Computer Science and Technology Beijing100084 China Beijing National Research Center for Information Science and Technology China

ISBN: (纸本)9781728163277

Synthesizing co-speech gestures is challenging because the mapping from speech to gesticulation is inherently non-deterministic. When giving talks, people conduct not only gentle and rhythmic motions but also abrupt and salient gesticulations. Most previous research efforts, however, ignore this nature of co-speech gestures and synthesize deterministic results, producing over-smoothed movements with limited expressiveness. To address this issue, we propose a new co-speech gesture generation approach that produces high-quality salient gesticulations. Specifically, we build a discrete motion representation (DMR) space to bridge the speech-gesture mapping and the gesture generation stages. The incorporation of DMR enables random sampling in motion space and avoids the over-smooth problem in speech-gesture mapping. Based on DMR, we devise a novel multi-modal co-speech gesture synthesis model with temporal attention (MCGT). MCGT explicitly models DMR's categorical distribution conditioned on the speech context, which captures complex context patterns and produces more salient gesticulations in sync with the context. In addition, we construct a new benchmark for evaluating salient motion quality in co-speech gestures, containing a large-scale co-speech gesture dataset with salient gesticulations. We also introduce a new metric, referred to as salient motion similarity, to evaluate the salient motion quality. Experiments demonstrate superior results from our approach over several competing baselines. © 2023 IEEE.

关键词： Co-speech gesture Discrete motion representation Temporal attention

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Enhancing Wireless Sensor Network Efficiency through Al-Biruni Earth Radius Optimization

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computers, Materials & Continua 2024年第6期79卷 3549-3568页

作者： Reem Ibrahim Alkanhel Doaa Sami Khafaga Ahmed Mohamed Zaki Marwa M.Eid Abdyalaziz A.Al-Mooneam Abdelhameed Ibrahim S.K.Towfek Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer Science and Intelligent Systems Research Center BlacksburgVirginia24060USA Delta Higher Institute for Engineering and Technology Mansoura35511Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Artificial Intelligence and Computational Intelligence Research Center MeridenConnecticut06450USA School of ICT Faculty of EngineeringDesign and Information&Communications Technology(EDICT)Bahrain PolytechnicP.O.Box 33349Isa TownBahrain

The networks of wireless sensors provide the ground for a range of applications,including environmental moni-toring and industrial *** the networks can overcome obstacles like power and communication reliability and sensor coverage is the crux of network *** infrastructure planning should be focused on increasing performance,and it should be affected by the detailed data about node *** work recommends the creation of each sensor’s specs and radius of influence based on a particular geographical location,which will contribute to better network planning and *** using the ARIMA model for time series forecasting and the Al-Biruni Earth Radius algorithm for optimization,our approach bridges the gap between successive terrains while seeking the equilibrium between exploration and *** implementing adaptive protocols according to varying environments and sensor constraints,our study aspires to improve overall network *** compare the Al-Biruni Earth Radius algorithm along with Gray Wolf Optimization,Particle Swarm Optimization,Genetic Algorithms,and Whale Optimization about performance on real-world *** the most efficient in the optimization process,Biruni displays the lowest error rate at *** two other statistical techniques,like ANOVA,are also useful in discovering the factors influencing the nature of sensor data and network-specific *** to the multi-faceted support the comprehensive approach promotes,there is a chance to understand the dynamics that affect the optimization outcomes better so decisions about network design can be *** delivering better performance and reliability for various in-situ applications,this research leads to a fusion of time series forecasters and a customized optimizer algorithm.

关键词： Wireless sensor networks optimization ARIMA model BER algorithm metaheuristic algorithms

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Site-Controlled SiN/SiO2 Single Photon Sources Coupled to Silicon Nitride Integrated Photonics

Site-Controlled SiN/SiO2 Single Photon Sources Coupled to Si...

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CLEO: Fundamental science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Peana, Samuel Yesilyurt, Omer Senichev, Alexander Martin, Zachariah O. Lagoutchev, Alexei S. Kildishev, Alexander Boltasseva, Alexandra Shalaev, Vladimir M. Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Quantum Science Center A National Quantum Information Science Research Center of the U.S. Department of Energy Oak RidgeTN37931 United States

We demonstrate an industrially scalable fabrication process for the integration of SiN/SiO2 single photon emitters into on-chip nanophotonic structures with sub-diffraction limited placement accuracy. © Optica Pu... 详细信息

ISBN: (纸本)9781957171395

关键词： Silicon nitride

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MSNet: A Deep Architecture Using Multi-Sentiment Semantics for Sentiment-Aware Image Style Transfer 48

MSNet: A Deep Architecture Using Multi-Sentiment Semantics f...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Sun, Shikun Jia, Jia Wu, Haozhe Ye, Zijie Xing, Junliang Tsinghua University Department of Computer Science and Technology Beijing100084 China Beijing National Research Center for Information Science and Technology China

ISBN: (纸本)9781728163277

Sentiment plays an essential role in people's perception of images. To incorporate the sentiment information into the image style transfer task for better sentiment-aware performance, we introduce a new task named sentiment-aware image style transfer. To solve this problem, we first introduce a novel Multi-Sentiment Semantics Space (MSS-Space) to capture the non-deterministic and complicated nature of sentiment semantics. With the MSS-Space, we establish tight associations between the visual attributes of images and the multi-sentiment semantics by minimizing their distance in MSS-Space and then propose the Multi-Sentiment Style Transfer Net (MSNet). Experiments demonstrate that, compared with three competing models, our proposed MSNet generates more explicit images and better preserves the integrity of salient objects, local details, and multi-sentiment. In particular, our model outperforms the state-of-the-art by +28.72% in terms of the top-3 accuracy on average. © 2023 IEEE.

关键词： Perceptual Loss self-attentive Sentiment Analysis Style Transfer

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