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A Method for Reducing PAPR of OTFS Radar communication Integrated Signal 14

A Method for Reducing PAPR of OTFS Radar Communication Integ...

引用

14th international conference on Signal Processing systems, ICSPS 2022

作者： Shang, Xiaoke Zhang, Zhenkai Xiao, Yue Yang, Yi Ocean College Jiangsu University of Science and Technology Zhenjiang China Research Institute Department of Communication Wuhan Maritime Communication Wuhan China

ISBN: (纸本)9798350336313

Due to Orthogonal Time Frequency Space (OTFS) technology, which can support reliable information transmission in strong Doppler environments, the integration of radar and communication system based on OTFS is gradually emerging. But OTFS integrated signal has high Peak to Average Power Ratio (PAPR), which degrades the performance of the system heavily. In this paper, the PAPR characteristics of OTFS signals are firstly deduced and evaluated, then a hybrid PAPR reduction algorithm is proposed. It is based on Zadoff-Chu Matrix Transform (ZCMT) and Partial Transmit Sequences (PTS) for reducing P APR. Firstly, an orthogonal precoding matrix is constructed using the Zadoff-Chu sequence, then the data symbols are multiplied by the precoding matrix, and then OTFS signal is divided using the conventional PTS procedure. Finally, the optimal phase rotation factor is selected to reduce the autocorrelation of each sub-data block of the OTFS integrated signal, thus a low P APR OTFS integrated signal is obtained. the simulation results show that the algorithm achieves better P APR suppression performance. © 2022 IEEE.

关键词： Peak to average power ratio

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Secure Transmission of IRS-assisted A2G Multiuser communication System with Hardware Impairments 14

Secure Transmission of IRS-assisted A2G Multiuser Communicat...

引用

14th IEEE international conference on Wireless communications and Signal Processing (WCSP)

作者： Cheng, Tianhao Wang, Buhong Cao, Kunrui Dong, Runze Diao, Danyu Air Force Engn Univ Sch Informat & Nav Xian Peoples R China Natl Univ Def Technol Sch Informat & Commun Xian Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian Peoples R China

ISBN: (纸本)9781665450850

this paper investigates secure communications in an intelligent reflective surface (IRS)-assisted air-to-ground (A2G) system with hardware impairments (HIs), where an unmanned aerial vehicle (UAV) serves as a base station for multiple ground users in the presence of a ground eavesdropper. We jointly optimize the transmit precoding (TPC) matrix and the IRS phase shift matrix to maximize the sum secrecy rate subject to the transmit power constraint and the IRS unit modulus constraint. the original problem is a non-convex problem that is very difficult to deal with. We solve this problem by alternating optimization (AO) algorithm. We decompose it into two subproblems, which are solved by successive convex approximation (SCA) and semi-definite relaxation (SDR) methods, and optimize these two subproblems alternately. Finally, simulation results reveal the impact of HIs on confidential communication and verify the effectiveness of our algorithm.

关键词： Intelligent reflecting surface transmit precoding alternating optimization physical layer security

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Cutting-edge Analysis of Sweet Potato Leaf Diseases: Leveraging Federated Learning and CNNs for Severity Evaluation 14

Cutting-edge Analysis of Sweet Potato Leaf Diseases: Leverag...

引用

14th international conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Mehta, Shiva Kukreja, Vinay Sharma, Vikrant Aeri, Manisha Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Graphic Era Hill University Computer Science and Engineering Uttarakhand Dehradun India Graphic Era Deemed to Be University Computer Science and Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350335095

this study proposes a unique method for categorizing and estimating the severity of illnesses that affect sweet potato leaves using federated learning and Convolutional Neural networks (CNN). the work is especially noteworthy since it may apply to agricultural situations where data privacy is crucial. the federated learning model demonstrated great precision, recall, F1-Score, and accuracy across five severity levels of sweet potato leaf diseases for four customers in the local results analysis. For example, Client 1 had 98% accuracy across all severity levels, and such patterns were seen in other customers. By averaging the local client data, aggregated performance measures for examining worldwide outcomes were produced. With an average precision of 94.96%, a recall of 94.52%, an F1-Score of 94.61%, and an accuracy of 98% across all customers, these measures showed the model's strong performance. this outcome confirms that the federated learning strategy was successfully implemented to maintain good performance across several clients. Finally, average metrics such as Macro, Weighted, and Micro averages were used to examine the overall data. For example, the Weighted average recall was 94.91%, the micro-average accuracy was 93.91%, and the macro-average precision was 94.60%. these averages demonstrate the model's accuracy, precision, and suitability for use in real-world agricultural contexts, regardless of the distribution of classes. the study's findings support federated learning in the agriculture industry by providing a scalable, precise, and privacy-protecting system for categorizing the severity of sweet potato leaf diseases. It offers a potential direction for ongoing study and real-world applications in intelligent farming, enhancing crop health and productivity. © 2023 IEEE.

关键词： Learning systems

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Deep Learning and Data Mining for Book Recommendation: Retrospect and Expectation 14

Deep Learning and Data Mining for Book Recommendation: Retro...

引用

14th IEEE international conference on Computer Research and Development, ICCRD 2022

作者： Fu, Qiyuan Fu, Jinmin Wang, Disheng School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China College of Photonic and Electronic Engineering Fujian Normal University Fuzhou China Aviation Engineering Institute Civil Aviation Flight University of China Guanghan China

ISBN: (纸本)9781728177212

With the exponential increase in the amount of digital information over the internet, online shops, online music, video and image libraries, search engines, and recommendation system have become the most convenient ways to find relevant information within a short time. the technique of Book Recommendation System (BRS) combines machine learning, data mining, and artificial intelligence, which is regarded as an expert to offer advice according to personal related choices and decisions before. the recommendation system is one of the strongest tools to increase profit and retain buyers. Book Recommendation System finds useful patterns in rating and consumption data between readers and books, then exploits these patterns to guide users to good books. Many of these patterns reflect subsistent phenomena between the various users and books. But there remain some unsolved questions, such as offering advice to persons who are firstly using the system, recommending books when avoiding some taboos like religious taboos. In this paper, I proposed a retrospective study of BRS and also made an expectation of the future development of the domain. © 2022 IEEE.

关键词： Recommender systems

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UAV-Satellite Integration for communication System: Potential Applications and Key Challenges 14

UAV-Satellite Integration for Communication System: Potentia...

引用

14th international conference on Information and communication Technology Convergence, ICTC 2023

作者： Do, Quang Tuan Tran, Anh-Tien Lakew, Demeke Shumeye Kim, Hyosu Son, Yongseok Lee, Hyung Tae Paek, Jeongyup Cho, Sungrae Chung-Ang University School of Computer Science and Engineering Seoul Korea Republic of

ISBN: (纸本)9798350313277

Unmanned aerial vehicle (UAV) and satellite integration has become an evolution in communication systems. this study explores the synergistic potential of UAV-satellite integration, along with its applications, difficulties, and potential future prospects. While satellites provide a wider geographical reach, UAVs increase localized coverage and flexibility. this combination shows potential for numerous applications like disaster response, environmental monitoring, remote connectivity, and scientific research campaigns. Coordination of the network, energy efficiency, security, signal interference, and many more are currently the issues we need to pay attention to in this system. Swarm intelligence, AI-driven decision-making, and hybrid communication architectures are promising study areas in the future. As the UAV-satellite integration process advances, it reshapes communication standards and offers unprecedented efficiency and connectivity. © 2023 IEEE.

关键词： Satellite UAV-Satellite Integration Unmanned Aerial Vehicles (UAVs) Wireless communication

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Development and Implementation of Changchun University Virtual History Museum Roaming Interactive System 14

Development and Implementation of Changchun University Virtu...

引用

14th international conference on Signal Processing systems, ICSPS 2022

作者： Yu, He Chen, Jiexi Sato, Reika Cui, Rong Cao, Xiaorui Liu, Shengyu College of Electronic and Information Engineering Changchun University Changchun China Osaka Electro-Communication University Faculty of Information Science and Arts Osaka Japan

ISBN: (纸本)9798350336313

the establishment of a virtual campus is a good opportunity to guide and promote the modernization of college education. With the development of the third-generation Internet technology, virtual reality technology is emerging. the paper takes the Changchun University History Museum as the background. this paper discusses the application of virtual technology in the construction of virtual campus museum system, from the aspects of the meaning of virtual school history museum, module design, development process and support operation mode. In the end, it is concluded that the virtual campus history museum is beneficial to the university humanities and moral education. © 2022 IEEE.

关键词： 3D modeling

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Multiclass Classification Using Arctangent Activation Function and Its Variations 14

Multiclass Classification Using Arctangent Activation Functi...

引用

14th international conference on Electronics, Computers and Artificial Intelligence, ECAI 2022

作者： Sivri, Talya Tumer Akman, Nergis Pervan Berkol, Ali Training Tech. and Digital Platforms Bites Ankara Turkey Defense and Information Systems Bites Ankara Turkey

ISBN: (纸本)9781665495356

Deep learning have been applied in life changing areas. Wide range of areas shows how successful deep learning is. there are several reasons why deep neural networks works well. the most importantly, activation functions since they are very powerful for solving non-linear problems. For that reason, it became a focus point for artificial intelligence researchers who want to improve the performance of neural networks. Special irrational numbers like pi and the golden ratio are shown up themselves in many areas such as art, geometry, architecture, etc. the wide range of occurrences of the pi and golden ratio inspire us to apply them to activation functions. this document is written for comprehensive explanation and comparison of activation functions which mainly focuses on arc tangent and its' variations defined in the paper. Experimental results are showed that variations which are obtained using irrational numbers pi and golden ratio, and also self-arctan, give promising results. Especially arctan with golden ratio have given better results. Multi-class classification problem was taken consider in the paper. © 2022 IEEE.

关键词： Deep neural networks

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Low Profile Wide Slot Antenna with Conical Beam for Indoor Wireless communication 14

Low Profile Wide Slot Antenna with Conical Beam for Indoor W...

引用

14th international conference on Microwave and Millimeter Wave Technology (ICMMT)

作者： Zheng, Wei Wang, Junhong Beijing Jiaotong Univ Inst Lightwave Technol Beijing 100044 Peoples R China

ISBN: (纸本)9781665467520

A new kind of low profile wide slot antenna with conical beam is designed. through optimal designing, gain at 5.8 GHz can achieve 6.73 dBi, the gain is in the range of 6.16-6.76dBi in the frequency band of 9.31%. In addition, the contour of the 2-D pattern of the antenna at theta(max)= 31 degrees is similar to a square at 5.8 GHz, which is more suitable for the indoor wireless communication in cuboid environment.

关键词： slot antenna conical beam indoor wireless communication

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CAP-DSDN: Node Co-association Prediction in Communities in Dynamic Sparse Directed networks and a Case Study of Migration Flow 14

CAP-DSDN: Node Co-association Prediction in Communities in D...

引用

14th international conference on Knowledge Discovery and Information Retrieval, KDIR 2022 as part of 14th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022

作者： Sreevalsan-Nair, Jaya Jakher, Astha Graphics-Visualization-Computing Lab. International Institute of Information Technology Bangalore Bangalore India Department of Humanities and Social Sciences IIT Kharagpur West Bengal Kharagpur721302 India

ISBN: (纸本)9789897586149

Predicting the community structure in the time series, or snapshots, of a real-world graph in the future, is a pertinent challenge. this is motivated by the study of migration flow networks. the dataset is characterized by edge sparsity due to the inconsistent availability of data. thus, we generalize the problem to predicting community structure in a dynamic sparse directed network (DSDN). We introduce a novel application of co-association which is a pairwise relationship between the nodes belonging to the same community. We thus propose a three-step algorithm, CAP-DSDN, for co-association prediction (CAP) in such a network. Given the absence of benchmark data or ground truth, we use an ensemble of community detection (CD) algorithms and evaluation metrics widely used for directed networks. We then define a metric based on entropy rate as a threshold to filter the network for determining a significant and data-complete subnetwork. We propose the use of autoregressive models for predicting the co-association relationship given in its matrix format. We demonstrate the effectiveness of our proposed method in a case study of international refugee migration during 2000–18. Our results show that our method works effectively for migration flow networks for short-term prediction and when the data is complete across all snapshots. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Forecasting

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Joint Radar Node Scheduling and Resource Assignment in Radar Network for Multi-Target Tracking Under Spectrum Coexistence 14

Joint Radar Node Scheduling and Resource Assignment in Radar...

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14th international conference on Signal Processing systems, ICSPS 2022

作者： Dong, Jing Shi, Chenguang Yu, Wangyang Zhou, Jianjiang Yan, Junkun Photonics Nanjing Univ. Aeronaut. Astronaut Key Laboratory of Radar Imaging and Microwave Nanjing China Wuhan Maritime Communication Research Institute Wuhan China Xidian University National Laboratory of Radar Signal Processing Xian China

ISBN: (纸本)9798350336313

this paper proposes a joint radar node scheduling and resource assignment (JRNSRA) strategy in radar network for multi-target tracking under spectrum coexistence. the main purpose of this strategy is to minimize the multi-target tracking error under several transmit resource budgets of radar network. the expression of the predicted Bayesian Cramer-Rao lower bound (BCRLB) is derived and used to measure the target tracking performance. Since the JRNSRA strategy is a non-convex optimization problem, we propose a two-step solution algorithm to solve the resulting problem. Simulation results show that the JRNSRA strategy can achieve lower multi-target tracking error compared with other strategies under the same spectrum coexistence environment. © 2022 IEEE.

关键词： Target tracking

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