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检索条件"任意字段=IEEE International Conference on Robotics, Intelligent Systems and Signal Processing"

共 7158 条记录，以下是221-230 订阅

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Learning-Aided Kalman Tracking in Biased Dynamic systems: The Case of Cable-Driven Robots for Surgery

Learning-Aided Kalman Tracking in Biased Dynamic Systems: Th...

引用

2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Ketashvili, Linoy Ashkenasy, Shachar Nisky, Ilana Shlezinger, Nir School of ECE Ben-Gurion University of the Negev Beer-Sheva Israel Department of BME Ben-Gurion University of the Negev Israel

ISBN: (纸本)9798350368741

In cable-driven robots, the actuation is transmitted via long cables for control and manipulation of the end-effectors. The cables introduce biases due to non-linear tension, creating a challenge for accurate modeling and localization. This paper presents a novel data-driven algorithm that addresses these biases in partially known dynamic systems, focusing on cable-driven robots. The proposed approach integrates classic Kalman filtering with deep learning to enhance tracking and overcome the limitations of existing state-space modeling. Our algorithm learns from data to explicitly track the robot's end-effector, while implicitly tracking its cable-induced bias. We demonstrate the effectiveness of the algorithm on two different robotic manipulators: a planar two-link robotic manipulator, and the Raven surgical robot, constituting testbeds for dynamic systems where the bias arises from time-varying cable tension. Our experimental results reveal that while conventional methods like the Extended Kalman Filter struggle with pose tracking due to system biases, our algorithm successfully localizes the robot's end-effector and uncovers underlying biases, showing significant advancements in predictive capabilities and dynamic system understanding. © 2025 ieee.

关键词： Cable-driven robots Kalman filter

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A Receiving Gain Monitoring and Dynamic Regulation Method for High Frequency RFID System with Dense Tags 5

A Receiving Gain Monitoring and Dynamic Regulation Method fo...

引用

5th international conference on intelligent Control, Measurement and signal processing, ICMSP 2023

作者： Chai, Jia Ma, Chengzhen Ruan, Zhicheng Li, Yang Qin, Lei Ren, Kaiqi Beijing Institute of Computer Technology and Application China

ISBN: (纸本)9798350336030

Radio Frequency Identification (RFID) system is widely used in archives management, intelligent warehousing, and other industries due to the advantages of insensitivity to liquid, controllable reading range and high reading density. However, in the application scenario of dense tags inventory, the position of the tags relative to the readers is different and dense tags are coupled with each other, so the intensity range of the tag response is wide. To ensure that all tags can be inventoried exactly, the readers are required to have a high dynamic range. In this paper, considering the relationship between receiving gain and anti-collision flow, a method of receiving gain monitoring and dynamic regulation for high-frequency RFID systems is designed. The experimental results show that the proposed method can effectively improve the dynamic range of the reader on the premise of ensuring the efficiency of inventory. © 2023 ieee.

关键词： Digital signal processing

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Machine Learning-Driven Anomaly Detection: A Comprehensive Model for Digital Security 4

Machine Learning-Driven Anomaly Detection: A Comprehensive M...

引用

4th international conference on Ubiquitous Computing and intelligent Information systems, ICUIS 2024

作者： Samarth, S. Sumukha Raghavan, M. Santhosh, T. Kowligi, Sahana J. Pooja, M.R. Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru India

ISBN: (纸本)9798331529635

This research study proposes a novel approach for behavioral tracking and anomaly detection in digital systems by using AI-driven models, particularly for applications in signal processing and digital computer environments. The proposed AI model combines techniques of behavioral tracking, aiming at identifying deviations in the operations of the system, while enhanced monitoring and anomaly identification are the focus. This methodology captures subtle deviations in user behavior and system signals to enhance real-time security and system integrity, thereby reducing the likelihood of unauthorized access and system misuse. © 2024 ieee.

关键词： AI Models Anomaly Detection Behavioral Tracking Digital systems

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Optimizing Job Matching Through Automated Resume Screening with NLP and Machine Learning

Optimizing Job Matching Through Automated Resume Screening w...

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

作者： Surya, C.H. Sai Kiriti, G.L.V.S. Saketh, K Satya Charan, P Sri Anjali, A. 2021IMT-024 Information Technology ABV-IIITM Gwalior India 2021IMT-035 Information Technology ABV-IIITM Gwalior India 2021IMT-050 Information Technology ABV-IIITM Gwalior India 2021IMT-072 Information Technology ABV-IIITM Gwalior India Information Technology ABV-IIITM Gwalior India

ISBN: (纸本)9798350379525

Resume screening determines a candidate's qual-ification for a position based on their education, experience, and other resume information. Candidates are only called for interviews if their resume matches the job description. Manual resume examination is time-consuming and burdensome, prompting companies to use applicant tracking systems to shortlist candidates based on their skills. The primary cause of rejection is often a mismatch between the job role and the applicant's skill set. Job seekers must understand which job categories align with their skill sets. This study employs natural language processing (NLP) and machine learning (ML) techniques to evaluate applicants in real time. Methods such as tokenization, stemming, lemmatization, TF-IDF, and string matching are used to identify keywords. Subsequently, ML models are applied to determine the most suitable role for each applicant. Four models-SVM, logistic regression, random forest, and k-nearest neighbors-are compared for accurate classification, with SVM outperforming the other benchmarks. This project aims to revolutionize the resume screening process by integrating advanced technologies and refining our methodologies. © 2024 ieee.

关键词： Natural language processing systems

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Application of Genetic Algorithm to Optimize Coverage in Shadow Regions in 5G and 6G Millimeter Wave Communication systems 26

Application of Genetic Algorithm to Optimize Coverage in Sha...

引用

26th international conference on Digital signal processing and its Applications, DSPA 2024

作者： Semenov, Sergey Pavlov, Vitalii Belov, Andrei Institute of Electronics and Telecommunications Peter Great St. Petersburg Polytechnic University of Organization St. Petersburg Russia

ISBN: (纸本)9798350361728

The paper discusses application of a genetic algorithm to increasing the coverage area of a 5G FR2 and 6G millimeter wave base station using Reconfigurable intelligent Surfaces (RIS) to cover shadow zones behind obstacles. RISs are installed on board of unmanned aerial vehicles (UAV) that can change their positions easily. It is shown that significant increase in the coverage area can be achieved. © 2024 ieee.

关键词： Genetic algorithms

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Model predictive control of HVAC chilled water system based on load forecasting 6

Model predictive control of HVAC chilled water system based ...

引用

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

作者： Liu, Bo Gong, Yangrui Luo, Heng Liu, Yi Qin, Boya Li, Huibin Wuhan University of Technology School of Automation Wuhan430070 China China United Network Communications Co. Ltd. Shanghai Branch Shanghai200000 China

ISBN: (纸本)9798331516550

The Heating, Ventilation, and Air Conditioning (HVAC) system is a critical component of building energy consumption, accounting for a significant portion of total energy usage. Given the inherent nonlinearity, susceptibility to environmental variations, and stringent energy efficiency requirements of HVAC systems, traditional control strategies, often based on fixed rules or empirical knowledge, frequently fall short in their ability to dynamically adjust control parameters and achieve substantial energy savings. This paper introduces a novel Model Predictive Control (MPC) approach for chilled water systems, leveraging genetic algorithms to optimize control strategies. The proposed methodology is designed to enhance energy efficiency by implementing an energy-saving optimal control scheme, complemented by the formulation of rational objective functions and constraint conditions. Experimental validation conducted on a simulation platform demonstrates that the proposed control strategy not only significantly improves system energy efficiency but also exhibits robust performance and reliability under various operational conditions. The results show that the optimized MPC strategy achieves a 10%-15% reduction in total energy consumption, providing a valuable reference for building energy efficiency management. © 2024 ieee.

关键词： Predictive control systems

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An End-to-End Radio signal Drone Detection and Recognition Algorithm Based on Hard Example Mining

An End-to-End Radio Signal Drone Detection and Recognition A...

引用

2024 ieee international conference on Unmanned systems, ICUS 2024

作者： Wu, Hao Cui, Xiongwen Liu, Peizhou Jiang, Li Department of Electronic Engineering Tsinghua University Beijing China Chengdu SkyDefence Technology Co.Ltd. Chengdu China School of Telecommunication Engineering Xidian University Xi'an China

ISBN: (纸本)9798350384185

Radio signal drone detection and recognition, which is widely applied in radio monitoring and radio countermeasures, is an important direction in the intelligent processing of radio *** paper proposes an end-to-end algorithm for radio signal drone detection and recognition based on hard example ***, a novel backbone network for one-dimensional radio frequency spectrum data is devised by optimizing VGG ***, multi-scale features are employed to address the scale variation in the frequency domain of radio signal ***, a new cross-entropy loss function in conjunction with a negative sample enhancement strategy is proposed to improve the performance on challenging *** results demonstrate that,in comparison to existing methodologies, the proposed approach exhibits superior accuracy and efficiency in detecting and recognizing radio signal targets. © 2024 ieee.

关键词： Frequency domain analysis

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Automated Detection of Roadway and Traffic Control Conditions Using On-Board Image processing 17

Automated Detection of Roadway and Traffic Control Condition...

引用

17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Sivakumar, Ashmitha Jaysi Pragati, L. Roy, Sambhavi Vanajakshi, Lelitha Devi Indian Institute of Technology Madras Department of Civil Engineering Chennai India

ISBN: (纸本)9798331531195

Accurate detection of roadway and traffic control conditions is crucial for enhancing Advanced Driver Assistance systems (ADAS) in dynamic environments. This study aims to leverage deep learning techniques, specifically YOLO series, for their identification in real-world scenarios. Detection of traffic signs, markings and signal along with road conditions such as potholes, and speed breakers are considered. The YOLO models perform well and demonstrates effective and real-time detection capacities. © 2025 ieee.

关键词： Advanced driver assistance systems

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Next-Generation Smart Greenhouse: Integrating Universal Interaction Technologies 4

Next-Generation Smart Greenhouse: Integrating Universal Inte...

引用

4th international conference on robotics, Electrical and signal processing Techniques, ICREST 2025

作者： Hassan, Tonmoy Das, Debraj Ahmad, Shameem Murad, Sayed Hasan Hazari, Md. Rifat Rahman Zishan, Md. Saniat Hossain, Tamim American International University-Bangladesh Faculty of Engineering Department of Electrical and Electronic Engineering Dhaka1229 Bangladesh American International University-Bangladesh Dhaka1229 Bangladesh

ISBN: (纸本)9798331530938

Agriculture is the largest employment sector in Bangladesh, making up 14.2% of GDP in 2017 and employing about 42.7% of the workforce. To support the GDP and grater employment, uses of the latest technology in agricultural areas are much more needed. Farmers still using the convention way to grow crops, which leads to less production, high labor cost, more manpower needed to monitor and maintenance the yield system. This study focuses on IoT-based smart greenhouse agricultural monitoring and automation, which provides farmers with real-time data and insights into a variety of topics such as data monitoring, controlling, automation crop yield, and cost effectiveness. An ESPS266-based hardware and Adafruit platform have been designed to monitor extracted data such as soil moisture, temperature, humidity, automatic water irrigation and automatic hot air exhaust systems. The system's benefit is proved in a comprehensive manner through defined programming, hardware results, and data analysis, reducing the need for human monitoring and watering of the system, hot air will be expelled from the field, resulting in greater crop development up to 15-50% higher crop yield on the same field. © 2025 ieee.

关键词： Soil moisture

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Advanced Robotic Surveillance for Urban Air Quality Safety

Advanced Robotic Surveillance for Urban Air Quality Safety

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ieee international conference on Electro Information Technology (EIT)

作者： Hansen, Guillaume Benson, James R. Danish, Muhammad Rafay Khoa Truong Yu, Xinrui Saniie, Jafar IIT Dept Elect & Comp Engn Embedded Comp & Signal Proc ECASP Res Lab Chicago IL 60616 USA

ISBN: (纸本)9798350330656;9798350330649

This paper presents a multifunctional quadruped robot, specifically engineered for comprehensive air quality monitoring and emergency assistance. Designed to navigate through urban environments, the robot autonomously collects and transmits real-time air quality data to a centralized database. This interdisciplinary paper integrates robotics, environmental science, and emergency response protocols to propose novel solutions for smart city infrastructure, public health, and disaster management. Specifically, this research highlights the critical role that autonomous systems play in monitoring environmental conditions and advancing safety protocols. This research leverages a comprehensive array of sensors including CO2 (MH-Z19), particle (SDS 011), GPS (ADA 746), DHT 22, MQ 9, and ADS 1115 converter, each meticulously implemented to ensure precise environmental data collection and analysis. Furthermore, the integration of cutting-edge technologies such as Robot Operating System (ROS),.NET MAUI, Python, and MariaDB establishes a robust framework for seamless operation, data processing, and secure storage within the quadruped robot system.

关键词： quadruped robot smart system ROS air quality sensor remote control API database

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