检索结果-内蒙古大学图书馆

2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023

作者： Jiang, Jehn-Ruey Wang, Yu-Jie National Central University Department of Computer Science and Information Engineering Taoyuan Taiwan

ISBN: (纸本)9798350316803

In this paper, we propose a quantum circuit based on Grover's algorithm to solve the exact cover problem (ECP), which is NP-hard. A novel controlled counter is designed and used to implement the ECP oracle to check if every element is covered by a set exactly once. If so, a feasible solution is found. The phase of the qubit state representing a feasible solution is flipped by calling the oracle, and the state's amplitude is amplified through the diffusion operator o(2n) times, where n is the number of sets given in the ECP. Thanks to Grover's algorithm, the proposed quantum circuit achieves quadratic speedup compared with the classical algorithm that needs to call the oracle O(2n) times. To validate our approach, we execute the proposed quantum circuit using the IBM Quantum Lab service. © 2023 IEEE.

关键词： Timing circuits

来源：评论

学校读者我要写书评

暂无评论

Wi-SFDAGR: WiFi-Based Cross-Domain Gesture Recognition via Source-Free Domain Adaptation

引用

IEEE Internet of Things Journal 2025年第13期12卷 24159-24173页

作者： Yan, Huan Zhang, Xiang Huang, Jinyang Feng, Yuanhao Li, Meng Wang, Anzhi Ou, Weihua Wang, Hongbing Liu, Zhi Guizhou Normal University School of Big Data and Computer Science Guiyang550025 China University of Science and Technology of China CAS Key Laboratory of Electromagnetic Space Information Hefei230026 China Hefei University of Technology School of Computer and Information Hefei230601 China The University of Electro-Communications Department of Computer and Network Engineering Tokyo1828585 Japan

WiFi Channel State information (CSI)-based gesture recognition offers unique advantages, including cost-effectiveness and enhanced privacy protection, and has garnered significant attention in recent years. However, existing WiFi-based gesture recognition solutions exhibit poor generalization ability when deployed in new environment, orientation, or location. Although some methods combine labeled source domain and unlabeled target domain to learn domain-independent features, factors such as data privacy protection hinder access to source data during practical environment adaptation. Consequently, we consider realistic scenario where source data is unavailable during adaptation of unlabeled test data, and instead, a trained source domain model is used. In this paper, we propose Wi-SFDAGR, a WiFi-based Source-free Domain Adaptation Gesture Recognition framework. Specifically, we treat cross-domain as an unsupervised clustering problem, aiming to ensure that features within local neighborhoods exhibit similar prediction results while those farther apart display different prediction outcomes in the feature space. We theoretically analyze the effect of enhanced prediction consistency between neighbor points extracted from gestures on generalization error. Furthermore, we employ an attraction-dispersion network to strengthen prediction consistency among closely located features in the feature space while reducing it for distantly located features. To mitigate noise introduced during nearest neighbor sample selection in the feature space (where predictions may not align with the input sample’s prediction), we progressively improve nearby sample feature aggregation by estimating uncertainty to reweight local neighborhood predictions. Finally, extensive experiments are conducted on the Widar 3.0 and XRF55 datasets and the results show our proposed framework outperforms most cross-domain methods. © 2014 IEEE.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

KNOT-MCTS: An Effective Approach to Addressing Hallucinations in Generative Language Modeling for Question Answering 35

KNOT-MCTS: An Effective Approach to Addressing Hallucination...

引用

35th Conference on Computational Linguistics and Speech Processing, ROCLING 2023

作者： Wu, Chung-Wen Huang, Guan-Tang He, Yue-Yang Chen, Berlin Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan

ISBN: (纸本)9789869576963

Contemporary large language models (LLMs) have made significant advancements, capable of generating fluent conversations with humans and accomplishing various tasks such as programming and question answering (QA). Nevertheless, current LLMs are still faced with numerous challenges, including generating hallucinations, lacking the latest information, suffering from biases, and others. In this paper, we proposed a technique, Knowledge-based Navigation for Optimal Truthfulness Monte Carlo Tree Search (KNOT-MCTS), which can reduce hallucinations of LLMs by aligning semantics of responses with external knowledge during the generation process. This technique acts as a plug-and-play knowledge injection method, which does not require any training and can be applied to any (large) language model. First, we retrieve relevance knowledge snippets, incorporating them into the prompt section and subsequently fed into the decoding process. Then, during the decoding process, we utilize our semantic alignment heuristic function to guide the response generation process of LMs through the Monte Carlo Tree Search (MCTS) decoding process. In our experiments on the TruthfulQA dataset, KNOT-MCTS paired with various LMs consistently outperforms their respective baselines. Our results demonstrate that KNOT-MCTS can effectively inject knowledge into various LMs to reduce hallucinations of LMs. © 2023 ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing. All rights reserved.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Harnessing Bio-Inspired Optimization and Swarm Intelligence for Energy-Aware TinyML in IoT 7

Harnessing Bio-Inspired Optimization and Swarm Intelligence ...

引用

7th International Conference on Inventive Computation Technologies, ICICT 2024

作者： Kalyanakumar, P. Pandian, S. Srinivasa Boopalan, S. Jesintha, D. Kani Krishnan, R. Santhana Muthu, A. Essaki Velammal College of Engineering And Technology Department of Information Technology Madurai India Scad College of Engineering And Technology Department of Computer Science And Engineering Cheranmahadevi India Scad College of Engineering And Technology Department of Electronics And Communication Engineering Cheranmahadevi India

ISBN: (纸本)9798350359299

This research investigates the integration of bio-inspired optimization and swarm intelligence principles with TinyML for the development of energy-aware Internet of Things (IoT) devices. A novel model algorithm, termed "BioSwarmML,"is introduced and evaluated against existing algorithms through comprehensive simulation analyses employing suitable metrics. The proposed framework aims to enhance energy efficiency in IoT applications by leveraging the collective intelligence derived from bio-inspired optimization and swarm behaviors. The "BioSwarmML"algorithm is designed to draw inspiration from natural processes, incorporating bio-inspired optimization techniques such as genetic algorithms, simulated annealing, and evolutionary strategies. Concurrently, swarm intelligence principles are integrated to emulate decentralized and self-organizing behaviors observed in biological systems. This amalgamation aims to optimize the energy consumption of TinyML models on IoT devices, facilitating sustainable and adaptive learning processes. Simulation analyses involve a comparative study with established algorithms, evaluating BioSwarmML based on metrics such as energy consumption, accuracy, and latency. The results demonstrate the efficacy of the proposed algorithm in achieving superior energy efficiency while maintaining competitive performance in terms of accuracy and responsiveness. The comparison sheds light on the advantages of BioSwarmML in energy-aware TinyML applications, showcasing its potential for widespread adoption in IoT ecosystems. This research contributes to the advancement of energy-efficient IoT systems by introducing a novel algorithmic paradigm that aligns with international journal standards. The proposed "BioSwarmML"model showcases a promising avenue for enhancing sustainability in TinyML-driven IoT applications, offering a valuable addition to the existing body of knowledge in the field. © 2024 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Flexible pressure sensors with ultrahigh stress tolerance enabled by periodic microslits

引用

Microsystems & Nanoengineering 2024年第1期10卷 301-311页

作者： Song Wang Chenying Wang Yifan Zhao Yujing Zhang Yaxin Zhang Xiangyue Xu Qijing Lin Kai Yao Yuheng Wang Feng Han Yu Sun Zhuangde Jiang State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’anChina State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesSchool of Instrument Science and TechnologyXi’an Jiaotong UniversityXi’anChina The Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingboChina Department of Mechanical and Industrial Engineering University of TorontoTorontoCanada

Stress tolerance plays a vital role in ensuring the effectiveness of piezoresistive sensing films used in flexible pressure ***,existing methods for enhancing stress tolerance employ dome-shaped,wrinkle-shaped,and pyramidal-shaped microstructures in intricate molding and demolding processes,which introduce significant fabrication challenges and limit the sensing *** address these shortcomings,this paper presents periodic microslits in a sensing film made of multiwalled carbon nanotubes and polydimethylsiloxane to realize ultrahigh stress tolerance with a theoretical maximum of 2.477 MPa and a sensitivity of 18.092 kPa−*** periodic microslits permit extensive deformation under high pressure(e.g.,400 kPa)to widen the detection ***,the periodic microslits also enhance the sensitivity based on simultaneously exhibiting multiple synapses within the sensing interface and between the periodic sensing *** proposed solution is verified by experiments using sensors based on the microslit strategy for wind direction detection,robot movement sensing,and human health *** these experiments,vehicle load detection is achieved for ultrahigh pressure sensing under an ultrahigh pressure of over 400 kPa and a ratio of the contact area to the total area of 32.74%.The results indicate that the proposed microslit strategy can achieve ultrahigh stress tolerance while simplifying the fabrication complexity of preparing microstructure sensing films.

关键词： robot shaped stress

来源：评论

学校读者我要写书评

暂无评论

Complex Coprime Frequency Sum Based Signal Representation for Period Estimation

Complex Coprime Frequency Sum Based Signal Representation fo...

引用

2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Shah, Shaik Basheeruddin Ali, Nazar T. Altunaiji, Ahmed Chakka, Vijay Kumar Alhajri, Mohamed Department of Electrical Engineering Khalifa University Abu Dhabi United Arab Emirates Department of Electrical Engineering Shiv Nadar Institution of Eminence Uttar Pradesh India Department of Computer Science and Engineering American University of Sharjah Sharjah United Arab Emirates

In signal processing, extracting information from a signal often requires transforming it into another domain using a suitable representation. Current representations for period estimation include the Discrete Fourier Transform (DFT), the Ramanujan Periodic Transform (RPT), and the Orthogonal Complex Conjugate Periodic Transform (OCCPT), which use Complex Exponential Sequences (CESs), Ramanujan Sums (RSs), and Complex Conjugate Pair Sums (CCPSs) as their bases, respectively. This paper aims to introduce a novel signal representation for efficient period estimation. We present a real-valued trigonometric sum called the Complex Coprime Frequency Sum (CCFS) and derive its key properties. We show that CCFS and its circular downshifts form a new basis for the Ramanujan subspace. Using this basis, we propose the Complex Coprime Frequency Transform (CCFT) for efficient period extraction. Our numerical results demonstrate that CCFT outperforms DFT and OCCPT, particularly in noisy environments. Furthermore, we observe that CCFT coefficients more reliably capture the strength of a particular period compared to RPT, making it a more effective method for detecting periods in a signal. © 2025 IEEE.

关键词： Digital arithmetic

来源：评论

学校读者我要写书评

暂无评论

An Approach for Soil Fertility Assessment Using Geospatial Data and Environmental Covariates 5

An Approach for Soil Fertility Assessment Using Geospatial D...

引用

5th International Conference on information Management and Machine Intelligence, ICIMMI 2023

作者： Mundada, Shyamal Jain, Pooa Department of Computer Science and Engineering Indian Institute of Information Technology Nagpur India

ISBN: (纸本)9798400709418

Agriculture is one of the most important industries for the country in terms of sustainability and the economy. Agriculture practises must be improved to preserve a sustainable balance because agriculture's importance and requirement are increasing along with the population. A vital part of the agricultural system is the soil. The accurate and thorough spatial soil information provided by soil composition detection can assist farmers in making decisions that will promote the growth of their crops. As a result, researchers concentrated on using AI and remote sensing to create models for the prediction of soil nutrient information that will aid farmers in exact fertilisation. A precise and economical solution for soil nutrient mapping is now available due to recent developments in sensor technology and machine learning-based soil analysis methods. Therefore, using machine learning (ML) techniques on remote sensing data can aid in developing a precision farming decision support system to increase crop output. For environmental modelling and risk assessment, complete and accurate geographic soil information is crucial. © 2023 ACM.

关键词： Soils

来源：评论

学校读者我要写书评

暂无评论

Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks

Optimizing NOMA Transmissions to Advance Federated Learning ...

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Chen, Ziru Ni, Zhou Guan, Peiyuan Wang, Lu Cai, Lin X. Hashemi, Morteza Li, Zongzhi Illinois Institute of Technology Department of Electrical and Computer Engineering Chicago United States University of Kansas Department of Electrical Engineering and Computer Science Lawrence United States University of Oslo Department of Informatics Oslo Norway Illinois Institute of Technology Department of Civil Engineering Chicago United States

ISBN: (纸本)9798350351255

Diverse critical data, such as location information and driving patterns, can be collected by IoT devices in vehicular networks to improve driving experiences and road safety. However, drivers are often reluctant to share their data due to privacy concerns. The Federated Vehicular Network (FVN) is a promising technology that tackles these concerns by transmitting model parameters instead of raw data, thereby protecting the privacy of drivers. Nevertheless, the performance of Federated Learning (FL) in a vehicular network depends on the joining ratio, which is restricted by the limited available wireless resources. To address these challenges, this paper proposes to apply Non-Orthogonal Multiple Access (NOMA) to improve the joining ratio in a FVN. Specifically, a vehicle selection and transmission power control algorithm is developed to exploit the power domain differences in the received signal to ensure the maximum number of vehicles capable of joining the FVN. Our simulation results demonstrate that the proposed NOMA-based strategy increases the joining ratio and significantly enhances the performance of the FVN. Index Terms - Federated Vehicular Network, NOMA © 2024 IEEE.

关键词： Data privacy

来源：评论

学校读者我要写书评

暂无评论

Optimizing Packet Delivery in Underwater Wireless Sensor Networks: A Comparative Study of Genetic Bee Colony and Ant Colony Algorithms 9

Optimizing Packet Delivery in Underwater Wireless Sensor Net...

引用

9th International Conference on Communication and Electronics Systems, ICCES 2024

作者： Kannappan, A. Kolagani, Nagesh Kandaswamy, Vijay Anand Vishnupriyan, J. Saveetha School of Engineering Simats Department of Electronics and Communication Engineering Chennai India Saveetha School of Engineering Simats Department of Computer Science and Engineering Chennai India Chennai Institute of Technology Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350377972

Physically Underwater communication adopt the bio inspired genetic bee colony formed network communication structures. Underwater environment condition Communication is established between the Transmitting node and in between several clustering relay nodes to reach receiver nodes. Transmitting nodes are placed on sea bed areas at certain depth and clustering relay nodes are placed in various underwater depth conditions dipping the sensor nodes. Also, underwater battery life is very hard and battery replacement is a very tough task. Hence, an alternate solution of optimization battery capacity utilization is used. This optimization algorithm improves Packet delivery ratio by comparing genetic bee algorithm with Ant colony algorithm. Hence, equivalence of two algorithms implemented in underwater conditions. The genetic bee colony Algorithm produces better output results more than 4 to 6 percentage compared to ant colony parameter output. The genetic bee colony algorithm offers a maximum clustering node technique compared to ant colony algorithm. Its greater support for saving energy consumption extending battery life. © 2024 IEEE.

关键词： Ant colony optimization

来源：评论

学校读者我要写书评

暂无评论

ES-5G: A Novel Edge-based SDN-enabled 5G Architecture for Lower Latency 23

ES-5G: A Novel Edge-based SDN-enabled 5G Architecture for Lo...

引用

6th International Conference on information science and Systems, ICISS 2023

作者： Chiang, Wei-Kuo Shang, Yi-Hsin Department of Computer Science and Information Engineering National Chung Cheng University Taiwan

ISBN: (纸本)9798400708206

With the fast development of the Internet and the increasing data traffic forwarded in the wireless network, the mobile network raises the requirement of bandwidth and latency. To meet this trend and provide better user Quality of Service (QoS), we deploy a popular paradigm called Software Defined Networking (SDN) with the existing 5G network and combine it with the concept of edge computing to achieve the purpose of higher data rate and lower latency. First, we replace the data plane in the 5G network with the SDN network and deploy the SDN network in the edge network close to the user. This new architecture is called the Edge-based SDN-enabled 5G network (ES-5G). It can shorten the data forwarding path, reduce the data process time, and reduce the burden on the backhaul network that forwards the data to the core network. After that, we modify the existing basic procedures to satisfy our design. We propose a new mechanism to pre-establish the forwarding path and design the new handover procedure. This mechanism is less processed when the user moves to other gNodeB (gNB) service domains. Then, we calculate the end-To-end latency from forwarding the packets and the message exchanges in the handover procedures to compare with the original 5G network. Finally, we verify that our performance analysis is correct via OMNeT++. © 2023 Owner/Author.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：