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Grouping bi-chi-squared method for pulsar navigation experiment using observations of Rossi X-ray timing explorer

Chinese Journal of Aeronautics 2023年第1期36卷 386-395页

作者： Haifeng SUN Jianyu SU Zhongwen DENG Lirong SHEN Weimin BAO Xiaoping LI Liansheng LI Zhe SU Wencong WANG School of Aerospace Science and Technology Xidian UniversityXi’an 710126China Shaanxi Key Laboratory of Space Extreme Detection Xi’an 710126China Peng Cheng Laboratory Shenzhen 518000China Academy of Advanced Interdisciplinary Research Xidian UniversityXi’an 710126China Beijing Institute of Control Engineering Beijing 100190China Institute of Space Electronic Information Technology Xi’an 710100China Shandong Institute of Aerospace Electronic Technology Yantai 264032China

X-ray pulsar-based navigation is a revolutionary technology which is capable of providing the required navigation information in the solar system. Performing as an important pulsar-based navigation technique, the Significance Enhancement of Pulse-profile with Orbit-dynamics(SEPO)can estimate orbital elements by using the distortion of pulse profile. Based on the SEPO technique,we propose a grouping bi-chi-squared technique and adopt the observations of Rossi X-ray Timing Explorer(RXTE) to carry out experimental verification. The pulsar timing is refined to determine spin parameters of the Crab pulsar(PSR B0531+21) during the observation periods, and a short-term dynamic model for RXTE satellite is established by considering the effects of diverse *** results suggest that the position and velocity errors are 16.3 km(3σ) and 13.3 m/s(3σ) with two adjacent observations split by one day(exposure time of 1.5 ks), outperforming those of the POLAR experiment whose results are 19.2 km(3σ) and 432 m/s(3σ). The approach provided is particularly applicable to the estimation of orbital elements via using high-flux observations.

关键词： Model buildings Navigation analysis Navigation testing Pulsars RXTE observations

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BLOCK-SECURE: AI-Based Blockchain Enabled Secure Framework for IoMT Applications

BLOCK-SECURE: AI-Based Blockchain Enabled Secure Framework f...

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2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024

作者： Panchal, Barkha Bhatia, Jitendra Kumhar, Malaram Tanwar, Sudeep Dutta, Ashit Kumar Rodrigues, Joel J.P.C. Department of Computer Science and Engineering Institute of Technology Nirma University Ahmedabad India Dept. of Comp. Science and Information Systems College of Applied Sciences AlMaarefa University Saudi Arabia Amazonas State University AM Manaus Brazil

ISBN: (纸本)9798350350548

The Internet of Medical Things (IoMT) revolutionizes healthcare by integrating medical devices and systems with the internet. However, the vast amounts of sensitive medical data in IoMT networks pose significant security and privacy concerns. Traditional security measures often fall short in identifying the malicious data attacks within the IoMT ecosystems. This paper introduces an AI-based non-malicious data classification scheme based on blockchain. We applied and evaluated the machine learning (ML) classifiers, such as support vector machine (SVM), random forest (RF), and K-Nearest neighbor (KNN). We evaluated the proposed framework based on various performance metrics that includes accuracy, precision, recall, and F1 score. The accuracy using SVM obtained 75.3%, RF is 75.9%, and KNN is 84.3%. The results shows that KNN performs better than other models by the factor of 9%. © 2024 IEEE.

关键词： Adversarial machine learning

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Linear shallow neural network to accelerate transmitter dispersion eye closure quaternary(TDECQ) assessment

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science China(information sciences) 2024年第4期67卷 337-338页

作者： Junjiang XIANG Zejun CHEN Yijun CHENG Hailin YANG Xuancheng HUO Meng XIANG Gai ZHOU Yuwen QIN Songnian FU Institute of Advanced Photonics Technology School of Information EngineeringGuangdong University of Technology School of Optical and Electronic Information Huazhong University of Science and Technology Key Laboratory of Photonic Technology for Integrated Sensing and Communication Ministry of Education of ChinaGuangdong University of Technology Guangdong Provincial Key Laboratory of Information Photonics Technology Guangdong University of Technology

To support the ever-emerging capacity requirement of datacenter interconnection(DCI) applications, transmitter dispersion eye closure quaternary(TDECQ) has been proposed by IEEE802.3 standard [1], which is specifically employed for the four-level pulse amplitude modulation(PAM-4) signals. However, the traditional scheme of TDECQ assessment needs several iterative operations,

关键词： IEEE Standards

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Transmissive 2-bit anisotropic coding metasurface

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Chinese Physics B 2022年第9期31卷 554-560页

作者： Pengtao Lai Zenglin Li Wei Wang Jia Qu Liangwei Wu Tingting Lv Bo Lv Zheng Zhu Yuxiang Li Chunying Guan Huifeng Ma Jinhui Shi Key Laboratory of In-Fiber Integrated Optics of Ministry of Education College of ScienceHarbin Engineering UniversityHarbin 150001China College of Aerospace and Civil Engineering Harbin Engineering UniversityHarbin 150001China State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast UniversityNanjing 210096China School of Electronic Science Northeast Petroleum UniversityDaqing 163318China Synergetic Innovation Center of Wireless Communication Technology Southeast UniversityNanjing 210096China

Coding metasurfaces have attracted tremendous interests due to unique capabilities of manipulating electromagnetic ***,archiving transmissive coding metasurface is still *** we propose a transmissive anisotropic coding metasurface that enables the independent control of two orthogonal *** polarization beam splitter and the orbital angular momentum(OAM)generator have been studied as typical applications of the anisotropic 2-bit coding *** simulated far field patterns illustrate that the x and y polarized electromagnetic waves are deflected into two different directions,*** anisotropic coding metasurface has been experimentally verified to realize an OAM beam with l=2 of right-handed polarized wave,resulting from both contributions from linear-to-circular polarization conversion and the phase profile *** work is beneficial to enrich the polarization manipulation field and develop transmissive coding metasurfaces.

关键词： transmissive coding metasurfaces polarization control orbital angular momentum

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An Intellectual Fusion Classification Prototypical for an Imbalanced Electrocardiogram Data

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SN Computer science 2023年第6期4卷 721页

作者： Ruth Isabels, K. Mrudula Devi, K. Anand, R. Athe, Ramesh Chowdhury, Sumit Singha Pund, Sachin S. Department of Mathematics Saveetha Engineering College (Autonomous) Chennai India BS&H Vignans Institute of Information Technology (A) Visakhapatnam India Department of MCA Acharya Institute of Technology Bangalore India Data Science and Intelligent Systems Indian Institute of Information Technology Dharwad Dharwad India Acharya Institute of Technology Bangalore India Department of Industrial Engineering Shri Ramdeobaba College of Engineering and Management Maharashtra Nagpur India

One of the greatest threats posed by progress around the world is cardiovascular diseases (CVD). Each year, CVD accounts for the vast majority of deaths worldwide. The vast majority of people who die from CVD do so suddenly, and their families have no hope of getting them medical help in time. Because of this, there is a pressing need for a real-time, intelligent system that can keep tabs on cardiac patients round the clock. Internet of Things (IoT)-enabled systems are a viable choice for real-time data monitoring. Internet-based smart healthcare has several potential uses, including monitoring physiological data, such as electrocardiograms (ECGs), heart rates (HRs), blood pressures (BPs), and more. IoT-based smart healthcare paradigms present significant issues, not the least of which is selecting the suitable model. This research proposes a heart rate sensor and a sophisticated hybrid classification algorithm as components of an IoT-based electrocardiogram (ECG) monitoring system. The goal of this study is to aid in the development of an automated key for social happiness by creating an intelligent hybrid classification model that can handle the class imbalance problem with more precision. No matter what validation criterion was used (twofold, fivefold, or tenfold cross-validation), the results of the empirical evaluation showed that the proposed hybrid model achieved better outcomes than the additional ingrained classification models in terms of accuracy and efficiency for both classes. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： BP CVD ECG HR IoT

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Development of Fast Prediction System of User Action for a Fully Autonomous Smart Home System 4

Development of Fast Prediction System of User Action for a F...

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4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Rajalakshmi, N.R. Sharmila, L. Prabu, S. Veeramakali, T. Arulkumaran, G. Chourasia, Pranshu Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu India School of Computing Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Chennai India School of Computing Srm Institute of Science and Technology Department of Data Science and Business Systems Kattankulathur Chennai India School of Computing and Information Technology Reva University Karnataka Bangalore560064 India

ISBN: (纸本)9798331523923

The HVAC system, energy storage building, distributed power supply, and other equipment are integrated into the scheduling algorithm, which is aimed at reducing household electricity consumption. It is also assumed that users can provide energy to the grid according to their own conditions. Taking electricity cost and comfort level as optimization targets, a home energy optimization control model for the coordinated management of hybrid energy sources is built. A smart scheduling mechanism based on the improved adaptive particle swarm optimization approach is proposed in order to derive the best time intervals for electric appliances, necessary power for the control of the room temperature for every time frame, and power for charging and discharging of the storage battery at various moments. Simulation results show that through the incorporation of distributed photovoltaic power generation, backup storage by battery, and home energy optimization control, the system efficiently balances between user comfort and electricity consumption. This offers great technical support to the development of home energy management systems. By using time-of-use electricity price for energy acquisition and supply, the optimization control goal is minimizing both power use and cost as well as preserving comfort levels. The hybrid energy management's proposed home energy optimization control model uses an adaptive particle swarm optimization algorithm to find the optimal operation schedules of the electrical appliances, the required power for temperature control in a room, and the charge/discharge power level of the storage battery at each time interval. As per the optimization principle, the proposed dynamic programming algorithm converts the multi-stage problem into a sequence of single-stage problems and solves them separately. This method successfully resolves intricate problems that cannot be addressed through greedy algorithms or divide-and-conquer. In this research, management ac

关键词： Decision making

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Module-level design and characterization of thermoelectric power generator

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Chinese Physics B 2022年第4期31卷 39-47页

作者： Kang Zhu Shengqiang Bai Hee Seok Kim Weishu Liu Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Shenzhen Engineering Research Center for Novel Electronic Information Materials and Devices Southern University of Science and TechnologyShenzhen 518055China The State Key Laboratory of High-Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Mechanical Engineering School of Engineering&TechnologyUniversity of Washington TacomaTacomaWA 98402USA

Thermoelectric power generation provides us the unique capability to explore the deep space and holds promise for harvesting the waste heat and providing a battery-free power supply for *** past years have witnessed massive progress in thermoelectric materials,while the module-level development is still lagged *** would like to shine some light on the module-level design and characterization of thermoelectric power generators(TEGs).In the module-level design,we review material selection,thermal management,and the determination of structural *** also look into the module-level characterization,with particular attention on the heat flux ***,the challenge in the optimal design and reliable characterization of thermoelectric power generators is discussed,together with a calling to establish a standard test procedure.

关键词： thermoelectric module-level design characterization

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The Nah Bandit: Modeling User Non-compliance in Recommendation systems

arXiv

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arXiv 2024年

作者： Zhou, Tianyue Cho, Jung-Hoon Wu, Cathy The School of Information Science and Technology ShanghaiTech University Shanghai China The Department of Civil and Environmental Engineering The Laboratory for Information & Decision Systems Massachusetts Institute of Technology CambridgeMA02139 United States The Laboratory for Information & Decision Systems The Institute for Data Systems and Society The Department of Civil and Environmental Engineering Massachusetts Institute of Technology CambridgeMA02139 United States

Recommendation systems now pervade the digital world, ranging from advertising to entertainment. However, it remains challenging to implement effective recommendation systems in the physical world, such as in mobility or health. This work focuses on a key challenge: in the physical world, it is often easy for the user to opt out of taking any recommendation if they are not to her liking, and to fall back to her baseline behavior. It is thus crucial in cyber-physical recommendation systems to operate with an interaction model that is aware of such user behavior, lest the user abandon the recommendations altogether. This paper thus introduces the Nah Bandit, a tongue-in-cheek reference to describe a Bandit problem where users can say ‘nah’ to the recommendation and opt for their preferred option instead. As such, this problem lies in between a typical bandit setup and supervised learning. We model the user non-compliance by parameterizing an anchoring effect of recommendations on users. We then propose the Expert with Clustering (EWC) algorithm, a hierarchical approach that incorporates feedback from both recommended and non-recommended options to accelerate user preference learning. In a recommendation scenario with N users, T rounds per user, and K clusters, EWC achieves a regret bound of O(N √T log K + NT), achieving superior theoretical performance in the short term compared to LinUCB algorithm. Experimental results also highlight that EWC outperforms both supervised learning and traditional contextual bandit approaches. This advancement reveals that effective use of non-compliance feedback can accelerate preference learning and improve recommendation accuracy. This work lays the foundation for future research in Nah Bandit, providing a robust framework for more effective recommendation systems. Copyright © 2024, The Authors. All rights reserved.

关键词： Supervised learning

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High-repetition-rate THz parametric oscillator based on an electro-optic Q-switched laser

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Optics Express 2025年第3期33卷 6331-6342页

作者： Xu, Bingfeng Wang, Yuye Sun, Yue Zhang, Jingxi Zhang, Feng Xu, Degang Yao, Jianquan School of Precision Instruments and Optoelectronics Engineering Tianjin University Tianjin300072 China Key Laboratory of Optoelectronic Information Technology Ministry of Education Tianjin University Tianjin300072 China Research Center for Crystal Materials Xinjiang Technical Institute of Physics and Chemistry Chinese Academy of Science Xinjiang830011 China

A high-repetition-rate and high-peak-power terahertz parametric source based on the stimulated polariton scattering in MgO: LiNbO3 crystal has been demonstrated using an electro-optic Q-switched nanosecond Nd: YAG laser. The high-repetition-rate 1064 nm pump laser under 1 kHz was built with a L-shape cavity, where the maximum average power reaches 7.26 W with the pulse width of 12 ns. By optimizing the diameters and position of pump beam waist in MgO: LiNbO3 crystal, the maximum average THz-wave output power reaching 29.69 µW has been obtained at 1.78 THz, corresponding to the THz-wave peak power of 4.2 W. The tunable THz-wave frequency was in the range of 1.06-3.18 THz. The THz-wave beam quality factor M2 was estimated to be 1.81 × 4.32 in the x and y directions, respectively. Furthermore, this THz parametric source is used to characterize KDP and its deuterated counterpart DKDP crystals. A clear fingerprint peak was observed at 2.3 THz in DKDP but not in KDP. This work demonstrates the potential of this THz parametric source’s potential in characterizing and imaging crystalline materials with subtle structural variation. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Pulse repetition rate

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SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution 38

SeeClear: Semantic Distillation Enhances Pixel Condensation ...

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38th Conference on Neural information Processing systems, NeurIPS 2024

作者： Tang, Qi Zhao, Yao Liu, Meiqin Yao, Chao Institute of Information Science Beijing Jiaotong University China Visual Intelligence + X International Cooperation Joint Laboratory of MOE Beijing Jiaotong University China School of Computer and Communication Engineering University of Science and Technology Beijing China

Diffusion-based Video Super-Resolution (VSR) is renowned for generating perceptually realistic videos, yet it grapples with maintaining detail consistency across frames due to stochastic fluctuations. The traditional approach of pixel-level alignment is ineffective for diffusion-processed frames because of iterative disruptions. To overcome this, we introduce SeeClear-a novel VSR framework leveraging conditional video generation, orchestrated by instance-centric and channel-wise semantic controls. This framework integrates a Semantic Distiller and a Pixel Condenser, which synergize to extract and upscale semantic details from low-resolution frames. The Instance-Centric Alignment Module (InCAM) utilizes video-clip-wise tokens to dynamically relate pixels within and across frames, enhancing coherency. Additionally, the Channel-wise Texture Aggregation Memory (CaTeGory) infuses extrinsic knowledge, capitalizing on long-standing semantic textures. Our method also innovates the blurring diffusion process with the ResShift mechanism, finely balancing between sharpness and diffusion effects. Comprehensive experiments confirm our framework's advantage over state-of-the-art diffusion-based VSR techniques. The code is available: https://***/Tang1705/SeeClear-NeurIPS24. © 2024 Neural information processing systems foundation. All rights reserved.

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