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Vision- and map-based non-line-of-sight satellites hybridized processing 26

Vision- and map-based non-line-of-sight satellites hybridize...

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ieee 26th international conference on intelligent Transportation systems (ITSC)

作者： Betaille, David Meurie, Cyril Cocheril, Yann Univ Gustave Eiffel Struct & Instrumentat Integree COSYS SII F-44344 Bouguenais France Univ Gustave Eiffel COSYS LEOST Lab Elect Ondes & Signaux Transports F-59650 Villeneuve Dascq France

ISBN: (纸本)9798350399462

intelligent transportation systems use GNSS receivers as basic technological components. In urban applications one faces the problem of GNSS multipath and particularly of non-line-of-sight (NLOS) satellites. The development of GNSS receiver technologies for mass market encompasses the capability NLOS satellites processing by innovative techniques, not only based on the signal to Noise Ratio, but also on vision or city model. This is particularly needed for urban positioning of cars for applications which require high accuracy and integrity, typically driving automation. This article deals with the detection of NLOS satellites among those tracked by an automotive-range receiver. We aim at developing a method jointly based on the analysis of video stream and a 3D map model of the environment. The article provides a literature review, an evaluation of some existing techniques and a preliminary analysis of the implementation of the retained algorithm on a prototype developed in the frame of a European H2020 "Fundamental Elements call" project.

关键词： Satellites

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Sparse Channel Estimation in Massive MIMO systems Using Compressed Sensing and Neural Networks

Sparse Channel Estimation in Massive MIMO Systems Using Comp...

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2024 ieee international conference on intelligent signal processing and Effective Communication Technologies, INSPECT 2024

作者： Upadhyay, Deepak Sharma, Kunj Bihari Gupta, Mridul Upadhyay, Abhay Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India ABV Indian Institute of Information Technology and Management Data Science and Quantum Computing Gwalior India

ISBN: (纸本)9798350379525

In this paper, based on compressed sensing and neural networks, we present an intelligent sparse channel estimation technique for Massive MIMO systems. We show that our approach improves considerably the estimation accuracy in terms of Mean Squared Error (MSE) and Normalized Mean Squared Error (NMSE) with respect to classical methods. We demonstrate [Figure: ] that our approach is computationally more efficient, requires less time and resources (memory/disk) compared to the existing literature but for a robustness of performance across distal or low signal-to-Noise Ratios (SNRs). We also confirm our method exhibits fast convergence and efficiently accommodates a variety of sparsity levels. By visualizing it using heatmaps and ROC curves we show that this method is able to effectively differentiate between signal and noise, asserting our approach as a powerful tool for the contemporary set of problems present in wireless communications. © 2024 ieee.

关键词： signal to noise ratio

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Navigating the Labyrinth: The Mixed Chinese Postman Problem and Its SLAM Algorithm Application 20

Navigating the Labyrinth: The Mixed Chinese Postman Problem ...

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20th ieee international conference on intelligent Computer Communication and processing conference, ICCP 2024

作者： Ochs, Sven Orf, Stefan Schömer, Philip Zofka, Marc René Zöllner, J. Marius Fzi Research Center for In-formation Technology Department of Technical Cognitive Systems Haid-und-Neu-Str. 10-14 Karlsruhe76131 Germany Karlsruhe76131 Germany

ISBN: (纸本)9798331539979

Autonomous mobile systems exploring unknown environments face the challenge of optimizing their routes to minimize time and distance traveled. This paper explores integrating SLAM algorithms with optimized routing techniques to address the Mixed Chinese Postman Problem (MCPP). The MCPP arises when a robot aims to efficiently explore an area by determining the most optimal path that covers all edges of a graph while minimizing traversal distances. A key contribution of this paper is introducing an easy-to-implement solution for the MCPP in the context of autonomous mobile systems. We discuss the integration of this solution within the SLAM framework, highlighting its compatibility and effectiveness in real-world scenarios. © 2024 ieee.

关键词： SLAM robotics

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Advanced Fault Prediction Techniques Utilizing LSTMSA-Based Method in More Electric Aircraft Power systems 6

Advanced Fault Prediction Techniques Utilizing LSTMSA-Based ...

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6th international conference on intelligent Control, Measurement and signal processing, ICMSP 2024

作者： Li, Hong Liu, Bin Liu, Zhilin Xiong, Beiwen Zheng, Quan Company Limited Chengdu China

ISBN: (纸本)9798331516550

In order to overcome environmental concerns and reduce aircraft operating cost, the concept of More Electric Aircraft (MEA) has been presented to in-crease aircraft efficiency and reduce maintenance requirement by increasing the use of electrical power. Given the pivotal role of electrical systems in ensuring aircraft safety and stability, fault prediction within these systems is paramount for mitigating malfunction risks and ensuring the secure operation of MEA. This paper explores fault prediction techniques for MEA power systems, proposing a novel Long Short-Term Memory and Self-Attention (LSTMSA)-based method that significantly outperforms conventional prediction techniques. The proposed method enhances the fault prediction capabilities of MEA power systems, providing more meaningful references during flight and bolstering overall flight safety. © 2024 ieee.

关键词： Aircraft power systems

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3rd international conference on Communication, Control, and intelligent systems, CCIS 2024

3rd International Conference on Communication, Control, and ...

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3rd international conference on Communication, Control, and intelligent systems, CCIS 2024

ISBN: (纸本)9798331528201

The proceedings contain 175 papers. The topics discussed include: an optimized inverse neural network control augmented with feedback PI controller for time-varying systems;image encryption using neural network based chaotic systems;investigating the impact of update frequency on PID controller performance in autonomous robotics;deep learning framework for constellation signal classification in underwater optical wireless communication systems;fuzzy based web automation for smart power supply controller;ensembled machine learning models for antenna optimization in wireless communication/ biomedical applications;vertically integrated substrate integrated cavity based filtering antenna;network intrusion detection system using autoencoders;and a comparative study of Wallace tree multiplier and binary multiplier performance.

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intelligent HR systems in Global Organizations: Embracing Industry 4.0 for a Smart Future

Intelligent HR Systems in Global Organizations: Embracing In...

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2024 ieee international conference on signal processing and Advance Research in Computing, SPARC 2024

作者： Pandey, Pratibha Pandey, Anamika Srivastava, Anshul Naqvi, Samreen Bisht, Shilpi Mahajan, Navita IMS Engineering College Department of Management Ghaziabad India Galgotias University School of Business Greater Noida India Amity University Amity International Business School Noida India Era University Lucknow India Birla Institute of Applied Sciences Department of Applied Sciences and Humanities Bhimtal India

ISBN: (纸本)9798350385199

intelligent HR systems have become a transformative force for global organizations, driven by AI, machine learning, and data analytics to embrace Industry 4.0 opportunities. This paper explores their implications, highlighting their potential to drive efficiency, enhance employee experience, and foster a smart future. It emphasizes the necessity for businesses to adopt these systems to maintain competitiveness in a constantly changing world economy. The paper discusses various applications of intelligent HR systems in international organizations, including recruitment, predictive talent management, AI-driven training, and chatbots in HR services. Challenges in implementing these systems are addressed, such as ethical considerations in algorithm-based decision-making, data privacy, and reskilling HR professionals. Striking a balance between efficiency gains and human-centric values is emphasized. The research methodology employed for this study primarily involved a comprehensive literature review approach. By thoroughly examining academic journals, industry reports, and relevant publications, the study synthesized existing knowledge and insights on intelligent HR systems. The study encourages multinational corporations to leverage intelligent HR systems to optimize practices, empower employees, and achieve business objectives through AI and data-driven decision-making, while emphasizing the importance of ethical considerations, data protection, and ongoing training for HR professionals. © 2024 ieee.

关键词： Artificial Intelligence (AI) Data Analytics Employee Experience Industry 4.0 intelligent HR systems

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TEMPORAL CLUSTERING AND TEMPORAL REFERENCE BASED SPECULAR DETECTION FOR 1-MS VISUAL FEEDBACK SYSTEM 31

TEMPORAL CLUSTERING AND TEMPORAL REFERENCE BASED SPECULAR DE...

引用

2024 international conference on Image processing

作者： Hu, Tingting Fuchikami, Ryuji Nosaka, Shigekiyo Panason Connect Co Ltd Res & Dev DIv Fukuoka 8128531 Japan

ISBN: (纸本)9798350349405;9798350349399

The 1-ms visual feedback system is critical for seamless actuation in robotics, as any delay affects its performance in handling dynamic situations. Specular reflections cause problems in many visual technologies, making specular detection crucial in 1-ms visual feedback systems. However, existing real-time methods, which target Neumann architecture, fail to achieve the 1-ms delay due to spatial memory paths resulting from extensive frame-based processing. This research aims to develop a 1-ms specular detection system from both algorithm and architecture perspectives, proposing 1) temporal clustering and temporal reference based specular detection method, which leverages temporal domain information to address the requirements of frame-based processing;and 2) global-local integrated specular detection architecture, which enables the coexistence of local and global processing within a 1-ms stream-based architecture. The proposed methods are implemented on FPGA. The evaluation shows that the proposed system supports sensing and processing a 1000-fps sequence with a delay of 0.941 ms/frame.

关键词： Clustering based specular detection ultra-low delay visual system real-time processing field programmable gate array (FPGA)

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Vision based Estimation of Runway relative Aircraft Position and Orientation 3

Vision based Estimation of Runway relative Aircraft Position...

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3rd ieee international conference on intelligent Techniques in Control, Optimization and signal processing, INCOS 2024

作者： Dinesh, Sudin Sravya, Inti Joy, Josna Susan Antony, Sheethal Sowmianarayanan, L. Padmakumar, E.S. Indian Space Research Organization Vikram Sarabhai Space Centre Thiruvananthapuram India Indian Space Research Organization Isro Intertial Systems Unit Thiruvananthapuram India

ISBN: (纸本)9798350361186

Satellite based Navigation systems and Inertial Navigation systems (INS) are conventionally used for Aircraft Navigation. Instrumentation landing systems (ILS) needs equipment on runway as well as on the aircraft. When ILS or alternate navigation systems are not available, Vision based system can be used as an alternative to update INS. An algorithm is developed to estimate the Runway Relative Aircraft Position and Orientation during the final phase of landing when runway or pre-stored features/regions are visible. An algorithm is developed to identify three edges on the runway (Two along longitudinal left and right boundaries and the third one horizontal to the landing stripes) and to subsequently estimate the runway relative Position and Orientation using the complete camera perspective projection model. The test results suggest that Position estimates exhibit good accuracy. © 2024 ieee.

关键词： Inertial navigation systems

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Object Recognition System under Hazy Condition for Automated Driving systems 10

Object Recognition System under Hazy Condition for Automated...

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10th ieee international conference on Cybernetics and intelligent systems and ieee conference on robotics, Automation and Mechatronics, CIS-RAM 2023

作者： Xu, Yucheng Miyahara, Keizo Japan Global Gateway Fujitsu Limited Kanagawa Japan Kwansei Gakuin University Graduate School of Science and Engineering Hyogo Japan

ISBN: (纸本)9798350303087

We propose an object recognition system for vehicles controlled by "Automated Driving systems (ADS)."In particular, the proposed system aims at operating "Minimum Risk Maneuver (MRM)"for the ADS only with image sensors. The image sensors, digital cameras for example, often face difficulties in acquiring images with foggy, rainy and/or misty weather conditions. Even in such "Hazy"conditions, the object recognition system should be reliable to perform the MRM strategy. The proposed system consists of two sub-systems: image "dehaze"processing, and object detection. The implemented system was validated by several sample movies recorded in hazy condition on real roads. Experimental results show that the proposed system is applicable to real-time applications. © 2023 ieee.

关键词： Object recognition

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SNN Architecture for Differential Time Encoding Using Decoupled processing Time 6

SNN Architecture for Differential Time Encoding Using Decoup...

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6th international conference on AI Circuits and systems (AICAS)

作者： Windhager, Daniel Moser, Bernhard A. Lunglmayr, Michael Silicon Austria Labs Intelligent Wireless Syst Linz Austria Johannes Kepler Univ Linz Inst Signal Proc JKU SAL IWS Lab Linz Austria Johannes Kepler Univ Linz Inst Signal Proc Linz Austria Software Competence Ctr Hagenberg SCCH A-4232 Hagenberg Austria

ISBN: (纸本)9798350383638;9798350383645

Spiking neural networks (SNNs) have gained attention in recent years due to their ability to handle sparse and event-based data better than regular artificial neural networks (ANNs). Since the structure of SNNs is less suited for typically used accelerators such as GPUs than conventional ANNs, there is a demand for custom hardware accelerators for processing SNNs. In the past, the main focus was on platforms that resemble the structure of multiprocessor systems. In this work, we propose a lightweight neuron layer architecture that allows network structures to be directly mapped onto digital hardware. Our approach is based on differential time coding of spike sequences and the decoupling of processing time and spike timing that allows the SNN to be processed on different hardware platforms. We present synthesis and performance results showing that this architecture can be implemented for networks of more than 1000 neurons with high clock speeds on a State-of-the-Art FPGA. We furthermore show results on the robustness of our approach to quantization. These results demonstrate that high-accuracy inference can be performed with bit widths as low as 4.

关键词： Spiking neural network hardware accelerator

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