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GMLB Filter With Uncorrelated Conversion for Multi Nonlinear Targets Tracking 8

GMLB Filter With Uncorrelated Conversion for Multi Nonlinear...

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8th international conference on Systems and Informatics, ICSAI 2022

作者： Wu, Xinghui Wang, Min Xidian University National Laboratory of Radar Signal Processing Xian China

ISBN: (纸本)9781665474481

In the process of multi-target tracking, error observation and noise should be excluded and associated with the actual target observation value. Especially in the case of nonlinear motion, the difficulty of correlation rises sharply. To solve the decreasing correlation accuracy in nonlinear motion, a Generalized Labeled Multi-Bernoulli (GLMB) filter based on an Uncorrelated Conversion (UC) named UC-GLMB filter was proposed in this paper. Firstly, this method can effectively obtain more measurement information and is applied to the linear estimator. Secondly, it is an effective solution for multiple nonlinear moving target tracking problems based on random finite sets (RFS). thus, the performance of the UC-GLMB filter may be continually improved. Simulation results demonstrate the effectiveness of the proposed estimator compared with some popular multi-target tracking algorithms. © 2022 IEEE.

关键词： Target tracking

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Design of serial-parallel converter based on FPGA 4

Design of serial-parallel converter based on FPGA

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4th IEEE international conference on Civil Aviation Safety and Information Technology, ICCASIT 2022

作者： Yang, Jiahui Li, Peixuan Li, Yihan Cao, Qingxin Hohai University Changzhou China Space Engineering University Beijing China Taiyuan University of Technology Taiyuan China Beijing Jiaotong University Beijing China

ISBN: (数字)9781665467667

ISBN: (纸本)9781665467667

In this paper, the design of an 8-bit serial-parallel conversion system which can be applied to FPGA is presented. Serial-parallel conversion is a very common design and be widely used in digital electronic systems. In communication systems, using parallel data bytes and transmitting them over a single line can be efficient in saving wire area, reducing crosstalk effects, increasing clock speeds, or maintaining compatibility between devices. However, with the upgrading of the processing speed and frequency of FPGA, the serial-parallel conversion using the basic chip seems to be no longer reliable. therefore, based on the existing problems, in this paper, the development and simulation process of a PFGA-based serial-parallel conversion system is introduced. the system consists of a 4-bit counter module, Series/parallel conversion module, which is composed of multiplexers and flip-flops, combination module. the counter is used to control the time of the overall system and provide the function of reset. the series/parallel conversion module convert an 8-bit parallel signal to a serial signal firstly, after the transmission and processing, it is restored to the original parallel signal again. the combination module makes the whole system work orderly. the system is implemented with VHDL language. the rationality of the system is verified by experiments. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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8th international conference on Technologies and Innovation, CITI 2022

8th International Conference on Technologies and Innovation,...

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8th international conference on Technologies and Innovation, CITI 2022

ISBN: (纸本)9783031199608

the proceedings contain 19 papers. the special focus in this conference is on Technologies and Innovation. the topics include: Data Stream processing Method for Clustering of Trajectories;Low-Cost Energy Consumption Monitoring System Using NodeMCU;trend of the Use and Investment of Blockchain Technology in the Banking Sector in Ecuador;effectiveness of Monitoring Indicators in the Architecture of a Collaborative System;ioT Monitoring for Real-Time Control of Industrial Processes;metric Identification Evaluating Security Information: A Systematic Literature Review;Evaluation of User Interface (UI) and User Experience (UX) for Web Services of a Weather Data Monitoring Platform;Comparison of Free Android Mobile 3D Modeling Tools for AR Apps;a Web App for Teaching Specialized English Vocabulary – Case of Study: Computer Sciences;predicting Academic Performance in mathematics Using Machine Learning Algorithms;analysis of Classification Algorithms for the Prediction of Purchase Intention in Electronic Commerce;alignment Techniques in Domain-Specific Models;IVRMaker, An Interactive and Customizable Telephone Chatbot Services Platform;digital Transformation of Health Care Services: Médikal Case Study;texture and Color-Based Analysis to Determine the Quality of the Manila Mango Using Digital Image processing Techniques;Detection of Motorcyclists Without a Safety Helmet through YOLO: Support for Road Safety;computer Vision-Based Ovitrap for Dengue Control.

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Deep reinforcement learning for solving hybrid flow shop scheduling problem with unrelated parallel machines

Deep reinforcement learning for solving hybrid flow shop sch...

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6th international conference on Intelligent Computing and Signal processing (ICSP)

作者： Jing Luo Bailin Wang Shuaipeng Yuan Wenxin Zhang Tieke Li School of Economics and Management University of Science and Technology Beijing Engineering Research Center of MES Technology for Iron & Steel Production Ministry of Education Beijing China

For the hybrid flow shop scheduling problem with unrelated parallel machines with dynamically arrived jobs, an online scheduling method is proposed based on Deep-Q-Network (DQN) and scheduling rules to minimize total tardiness. In order to optimize production scheduling and minimize tardiness, we combine classic scheduling rules with the proposed DQN algorithm. the algorithm selects jobs and assigns them to feasible machines based on their completion or arrival time, while seven state features represent the production status at each scheduling point. We validate our approach through numerical experiments on various production configurations, showing significant advantages over traditional scheduling rules.

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Using BERT for Swiss German Sentence Prediction 8th

Using BERT for Swiss German Sentence Prediction

引用

8th international conference on Information, Communication and Computing Technology, ICICCT 2023

作者： Köchli, Oliver Wenk, Philippe Zweili, Christian Hanne, thomas University of Applied Sciences and Arts Northwestern Switzerland Olten Switzerland

ISBN: (纸本)9783031438370

Natural Language processing builds the foundation for a wide range of language-based applications. While widely spread languages benefit from a wide selection of sophisticated models, lesser known and spoken languages are less supported by specific tools. In this work, a BERT model was set up to process Swiss German sentences. Besides the fact, that there is no pre-trained model for Swiss German, the diversity of the language leads to significantly worse results than is normally the case with BERT models. Missing processing power, and therefore limited processing time were contributing factors for the unsuccessful model. However, the main reason can be identified in the language itself. Missing grammatical structure as well as a good number of different dialects made it almost impossible for the model to succeed in the language tasks. To improve the created BERT model, the language database needs to be categorized by dialect. Some efforts are already being made to gather language data in dialects by involving the Swiss people. But since participation is voluntary it may take some time to build a strong database. Additionally, the model needs to be pre-trained separately for each dialect to improve its accuracy and reliability. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Natural language processing systems

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A Research on CUBE Filtering Algorithm Based on GPU parallel Acceleration

A Research on CUBE Filtering Algorithm Based on GPU Parallel...

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Advanced Algorithms and Control Engineering (ICAACE), international conference on

作者： Xiaokai Li Li Wang Guangyun Li Institute of Geospatial Information Information Engineering University Zhengzhou China

ISBN: (数字)9798331535087

ISBN: (纸本)9798331535094

this paper focuses on execution efficiency for Combined Uncertainty and Bathymetry Estimator (CUBE) algorithm. By analyzing the key steps of the algorithm, this paper shows how to improve algorithm efficiency by using Octree index and Graphics processing Unit (GPU) parallel computing. the former is used to establish rules grids and neighborhood searches, while the latter is used to calculate the filtering calculation task in parallel. the combination of the two improves the overall execution efficiency of the algorithm. this paper designs experiment to test efficiency of the algorithm when processing the Multi-Beam Echo Sounder (MBES) data, and compare with the CUBE filter module of CARIS HIPS software. the experimental results show that the algorithm used in this paper can increase the filtering speed by about 13.8 times when dealing with ten million levels of data, and the efficiency of this algorithm in processing millions of MBES data is significantly better than the efficiency of CARIS HIPS software; the algorithm has better denoising effect than CARIS HIPS software in some cases.

关键词： Uncertainty Filtering Software algorithms Octrees Noise reduction Graphics processing units Filtering algorithms Software Indexes Hip

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Expanding the Cellular Automata Topologies Library for parallel Implementation of Synchronous Cellular Automata 17th

Expanding the Cellular Automata Topologies Library for Par...

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parallel Computing Technologies - 17th international conference, PaCT 2023, Proceedings

作者： Medvedev, Yuri Kireev, Sergey Trubitsyna, Yulia Institute of Computational Mathematics and Mathematical Geophysics SB RAS Novosibirsk Russia Novosibirsk State University Novosibirsk Russia

ISBN: (纸本)9783031416729

the paper discusses the implementation of cellular automata on supercomputers. It outlines the requirements for the software: ease of program construction and usability, ability to handle a wide range of transition functions, compatibility with various platforms, and ability to scale the size of cellular arrays with efficient use of computational resources. A review of software tools suitable for implementing cellular automata was conducted. One of these tools, a library of cellular automata topologies (CATlib), has been extended to implement synchronous cellular automata in parallel on multicomputers. the paper presents performance evaluation results emphasizing the high efficiency of the parallel implementation. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cellular automata

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GOLEM: GOld standard for Learning and Evaluation of Motifs 30

GOLEM: GOld standard for Learning and Evaluation of Motifs

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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： Yarlott, W.H. Victor Acharya, Anurag Estrada, Diego Castro Gomez, Diana Finlayson, Mark A. Florida International University Knight Foundation School of Computing and Information Sciences 11200 S.W. 8th Street MiamiFL33199 United States Pacific Northwest National Laboratory Advanced Computing Mathematics and Data Division Physical and Computational Sciences Directorate 902 Battelle Blvd RichlandWA99354 United States

ISBN: (纸本)9782493814104

Motifs are distinctive, recurring, widely used idiom-like words or phrases, often originating from folklore, whose meaning are anchored in a narrative. Motifs have a significance as communicative devices across a wide range of media-including news, literature, and propaganda-because they can concisely imply a large constellation of culturally relevant information. Indeed, their broad usage suggests their cognitive importance as touchstones of cultural knowledge, and thus their detection is a step towards culturally aware natural language processing. We present GOLEM (GOld standard for Learning and Evaluation of Motifs) the first dataset annotated for motific information. the dataset comprises 7,955 English news articles, opinion pieces, and broadcast transcripts (2,039,424 words) annotated for motific information. the corpus identifies 26,078 motif candidates across 34 motif types drawn from three cultural or national groups: Jewish, Irish, and Puerto Rican. Each motif candidate is labeled according to the type of usage (MOTIFIC, REFERENTIAL, EPONYMIC, or UNRELATED), resulting in 1,723 actual motific instances in the data. Annotation was performed by individuals identifying as members of each group and achieved a Fleiss' kappa (κ) of > 0.55. In addition to the data, we demonstrate that classification of the candidate type is a challenging task for Large Language Models (LLMs) using a few-shot approach;recent models such as T5, FLAN-T5, GPT-2, and Llama 2 (7B) achieved a performance of 41% accuracy at best, where the majority class accuracy is 41% and the average chance accuracy is 27%. these data will support development of new models and approaches for detecting (and reasoning about) motific information in text. We release the corpus, the annotation guide, and the code to support other researchers building on this work. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： E-learning

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A Survey of Industry in Cambodia and Future Prospects Industry 4.0 8

A Survey of Industry in Cambodia and Future Prospects Indust...

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Joint 8th international conference on Digital Arts, Media and Technology and 6th ECTI Northern Section conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023

作者： Chheang, Vuthy Heng, Sokha thourn, Kosorl Yahoui, Hamed Royal University of Phnom Penh Dept. of Telecommunication and Electronic Engineering Phnom Penh Cambodia Royal University of Phnom Penh Faculty of Engineering Phnom Penh Cambodia Institute of Technology of Cambodia Department of Telecommunication and Network Engineering Phnom Penh Cambodia Automation & Processing Center Dept. of Mechanical Engineering Claude Bernard University Lyon 1 Lyon France

ISBN: (纸本)9798350396546

In developed countries, industry 4.0 revolution is growing towards automation and data cloud analysis in manufacturing technologies to create a smart and high-class factory which be able to make higher production and logistics systems with few employees. this paper is based on a project funded by the ERASMUS+ Program of the European Union: ASEAN Factori 4.0, Across South East Asian Nations: From Automation and Control Training to the Overall Roll-out of Industry 4.0, 609854-EPP-1-2019-1-FREPPKA2-CBHE-JP which provided for a great survey of Cambodia industries in order to develop universities programs of automated production system. With these results of surveyed industries contributes to the Telecommunication and Electronic Engineering Department of Royal University of Phnom Penh recognizing where to begin for requirement of future industry 4.0 in Cambodia, such as automated production, applied technologies, and programing skills. In short of future, Cambodia will be extended for Industry 4.0 technologies with 5G, data centers, artificial intelligent (AI), industrial Automation (IA), additive manufacturing, industrial internet of things (IIoT) and smart factories, intelligent management, cyber-security, and machine learning as similar as other developed Asian countries. © 2023 IEEE.

关键词： Industry 4.0

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A Finite time Synergetic Control for Car like Mobile Robot

A Finite time Synergetic Control for Car like Mobile Robot

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international conference on Image and Signal processing and their Applications (ISPA)

作者： Bouhamatou Zoulikha Foudil Abdessemed Department of Electronics Faculty of Technology University Mostefa Ben Boulaïd Batna2 Batna Algeria

In this study, a finite time synergetic control will be used to demonstrate the dynamic control of a car-like mobile robot (CLMR). To get the steering velocity and linear velocity to converge to references, the FTSC c... 详细信息

ISBN: (数字)9798350309249

ISBN: (纸本)9798350309256

关键词： Signal processing Control systems Mobile robots Automobiles

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