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检索条件"任意字段=IEEE International Conference and Workshops on Engineering of Computer Based Systems"

共 89044 条记录，以下是271-280 订阅

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Demo Abstract: Technology-agnostic Approach to RF based Human Activity Recognition

Demo Abstract: Technology-agnostic Approach to RF based Huma...

引用

ieee conference on computer Communications (ieee INFOCOM)

作者： Yang, Chao Wang, Xuyu Mao, Shiwen Auburn Univ Dept Elect & Comp Engn Auburn AL 36849 USA Calif State Univ Sacramento Dept Comp Sci Sacramento CA 95819 USA

ISBN: (纸本)9781665409261

Human activity recognition (HAR), as an essential component of many emerging smart applications, has attracted an increasing interest in recent years. Various radio-frequency (RF) sensing technologies, such as Radio-Frequency Identification (RFID), WiFi, and RF radar, have been utilized for developing non-invasive HAR systems. However, most of the RF based HAR solutions are closely designed for the specific, chosen RF technology, which incurs a significant barrier for the wide deployment of such systems. In this demo, we present a technology-agnostic approach for RF-based HAR, termed TARF, which aims to overcome such constraints and perform HAR with various RF sensing technologies.

关键词： Human Activity Recognition (HAR) Technology-agnostic RF sensing Internet of Things (IoT) Domain Adversarial Learning

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Research on Quality Monitoring System of Industrial Circulating Cooling Water based on Cloud Platform 5

Research on Quality Monitoring System of Industrial Circulat...

引用

5th international conference on computer engineering and Application (ICCEA)

作者： Liu, Li Yang, Jiexia Anhui Vocat & Tech Coll Intelligent Mfg Dept Hefei Peoples R China

ISBN: (纸本)9798350386783;9798350386776

Aiming at solving the problems of water quality detection of industrial circulating cooling water, a cloud platform based online monitoring system for industrial circulating cooling water was designed using multiple technologies such as sensors, embedded systems, and cloud platforms. The system design mainly involves selecting core detection parameters that can basically characterize the water quality of the circulating cooling water, collecting data through corresponding sensors, transmitting it to the microcontroller for processing, and then connecting to the cloud platform using the MQTT protocol through the ESP8266 wireless communication module to establish an online monitoring system. The system can achieve real-time display of data, historical records, abnormal alarms, data downloads, and other functions. It has the advantages of high parameter collection efficiency, real-time transmission, and intuitive remote monitoring images, and has high application value.

关键词： circulating cooling water Water quality monitoring wireless communication

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IOT-Enabled Smart Crop Recommendation System Using Machine Learning 5

IOT-Enabled Smart Crop Recommendation System Using Machine L...

引用

5th international conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Saranya, S.S. Dharani, A.S. Kavitha, M.N. Selya Dharsnee, M. Pragatheeswari, E. Selya Varsnee, M. Psg Institute of Technology and Applied Research Department of Computer Science and Engineering Coimbatore India Kongu Engineering College Department of Computer Technology - Ug Perundurai India Kongu Engineering College Department of Computer Science and Engineering Perundurai India Kongu Engineering College Department of Computer Technology Perundurai India

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379945

Agriculture, a foundation of India's economy, faces challenges in maximizing yield and resource efficiency. This research presents a machine learning-based system to recommend optimal crops and fertilizers based on soil quality and geographic location. By providing data-driven insights, the proposed system aims to enhance crop productivity, promote sustainable farming practices, and empower farmers to make informed decisions. © 2024 ieee.

关键词： Smart agriculture

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Dynamic Multimedia Encryption Using a Parallel File System based on Multi-Core Processors 4

Dynamic Multimedia Encryption Using a Parallel File System B...

引用

4th ieee international conference on Data engineering and Communication systems, ICDECS 2024

作者： Simi Margarat, G. Malathi, S. Pasumpon Pandian, A. Anakath, A.S. Kannadasan, R. New Prince Shri Bhavani College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Grt Institute of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Tiruttani India Care College of Engineering Department of Computer Science and Engineering Trichy India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India School of Computer Science and Engineering Department of Software Systems Tamil Nadu Vellore India

ISBN: (纸本)9798350393354

A new parallel file system and multi-core processor-based dynamic multimedia encryption method is presented in this study. Multimedia encryption efficiency and security were the main goals, addressing massive data sets and high-speed processing. We created a dynamic encryption algorithm for multimedia content, supported by a strong parallel file system and tuned for multi-core processing. Multiple tests showed significant improvements in encryption and decryption times, retaining short durations for real-time applications. After encryption, the system maintained multimedia content quality and accuracy with data integrity rates nearing 100%. Balanced CPU utilization showed efficient resource use and processor load management. The system's excellent throughput efficiency showed its capacity to process enormous amounts of data. These results indicate that parallel file systems and multi-core CPUs may solve multimedia encryption problems. Adaptable and scalable, the system supports many multimedia formats and sizes. This paper proposes a multimedia encryption system that improves performance data security and integrity, paving the way for safe multimedia processing advances. © 2024 ieee.

关键词： Cryptography

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Air Leakage Detection and Rehabilitation Test Methods for Digital Thoracic Drainage systems 2

Air Leakage Detection and Rehabilitation Test Methods for Di...

引用

2nd ieee international conference on Sensors, Electronics and computer engineering, ICSECE 2024

作者： Wu, Xia Shen, Xizhong School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai China

ISBN: (纸本)9798350373646

Closed thoracic drainage is a treatment method used after thoracic surgery. Its main purpose is to drain gas and fluid from the chest cavity to the outside of the body, restore the normal negative pressure of the pleural cavity, and re-expand the lung. Traditional underwater drainage systems often judge the patient's air leakage by artificially observing the changes of bubbles in the water seal bottle, which has subjective differences. This paper proposes a quantitative method for air leakage based on the digital thoracic drainage system, which can objectively evaluate the patient's air leakage situation and determine chest tube removal timing. © 2024 ieee.

关键词： Gas leakage quantification STM32 Thoracic drainage system

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CNN-DBO: Dung Beetle Optimization based Urban Area Change Detection Using Satellite Images

CNN-DBO: Dung Beetle Optimization Based Urban Area Change De...

引用

2025 ieee international conference on Computational, Communication and Information Technology, ICCCIT 2025

作者： Pujari, Jambukeshwar Wasim, Javed Tripathi, Aprna Mangalayatan University Department of Computer Engineering and Applications Aligarh20221385 India Mangalayatan University Department of Computer Engineering and Applications Aligarh India Manipal University Department of Data Science Engineering Jaipur India

ISBN: (纸本)9798331512965

In recent years, Geographic Information systems (GIS) have garnered a significant deal of interest for their ability to detect changes in metropolitan areas. One of the uses of change detection in satellite photographs is in the field of urban planning. Other applications include environmental monitoring and remote surveillance. A number of different approaches have been suggested in recent times for the purpose of automatically identifying alterations in the land cover based on GIS photographs. However, due to poor texture, cluttered context, and considerable object scale disparities, the convolutional neural network (CNN) method is only partially successful in capturing the context from geographic information systems (GISs). This is despite the fact that it remains an effective method for detecting change in urban environments. The article presents the construction of a CNN-based change detection model using the utilization of Dung Beetle Optimization (DBO). The DBO algorithm is used to adjust the loss parameter in order to increase the overall performance. The approach that was proposed makes use of the Onera satellite data set and displays an overall accuracy of 97.50% percent. In light of this, it appears that the strategy that is proposed is both very efficient and effective. © 2025 ieee.

关键词： Convolutional neural networks

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Motion Control Using Brain computer Interface Utilizing GCNs-Net with BILstms 4

Motion Control Using Brain Computer Interface Utilizing GCNs...

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4th ieee international conference on Data engineering and Communication systems, ICDECS 2024

作者： Gokulnath, S. Ponraj, Anitha Krishna, Bhargav Shivaganesh Sandeep Kalasalingam Academy of Research & Education Department of Computer Science and Engineering Tamilnadu Krishnan Kovil India Kalasalingam Academy of Research & Education Department of Computer Science and Engineering Tamilnadu Krishnan Kovil India

ISBN: (纸本)9798350393354

This study focuses on harnessing EEG (electroencephalogram) brain signals for motion control through a Brain-computer Interface (BCI). The research integrates advanced deep learning techniques, such as transfer learning with ResNet, for predicting and interpreting these brain signals. Additionally, the study utilizes LSTM (Long Short-Term Memory) and RNN (Recurrent Neural Network) for processing time-series EEG data, enhancing the system's ability to decode the user's intended movements.A key element of the research is the application of an attention-based BiLSTM-GCN (Bidirectional Long Short-Term Memory-Graph Convolutional Network) model. This model enables deep feature extraction and mining in the context of human motor imagery recognition. It empowers the system to effectively understand and respond to the user's intentions based on their EEG *** ultimate goal of this research is to create a more efficient and accurate BCI system that can recognize and interpret the user's brain signals, allowing for precise and intuitive motion control. This has the potential to revolutionize various fields, including assistive technology, neurorehabilitation, and human-computer interaction. The combination of EEG-based control and deep learning methods holds promise for enhancing the quality of life for individuals with disabilities and expanding the horizons of human-machine communication. © 2024 ieee.

关键词： Electroencephalography

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Effectiveness of the Programmed Visual Contents Comparison Method for Two Phase Collaborative Learning in computer Programming Education: A Case Study 10th

Effectiveness of the Programmed Visual Contents Comparison M...

引用

29th international conference on Database systems for Advanced Applications (DASFAA)

作者： Thanh Ha Nguyen Sun, Yi Nishida, Takeshi Wang, Xiaonan Ohtsuki, Kazuhiro Kiyomitsu, Hidenari Kobe Univ Kobe Hyogo Japan Kobe Inst Comp Kobe Hyogo Japan

ISBN: (纸本)9789819609130;9789819609147

This paper introduces the Programmed Visual Content Comparison (PVCC) for collaborative programming learning. The PVCC is based on comparing two displayed visual objects produced by programming. This feature enables candidates to take the tests in a lighthearted and fun manner because they only judge "which is more difficult." The test based on the PVCC method works well to assess a candidate's programming abilities related to Panoramic Understanding of Programming (PUP). We conducted a collaborative learning experiment with students in a programming class using the PVCC method. This experiment method contains two phases of activity. First, each candidate answers a problem with the reason for the judge. In the second (collaborative phase), candidates discuss their answers and reasons in a group and then make the group answer with its explanation. The result from the experiment suggests a potential that collaborative learning facilitated by the PVCC method is beneficial for students in programming education by improving understanding and problem-solving skills in programming.

关键词： computer science education programming training collaborative learning software engineering

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Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation

Exploiting Inductive Bias in Transformer for Point Cloud Cla...

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2023 ieee international conference on Multimedia and Expo workshops, ICMEW 2023

作者： Li, Zihao Gao, Pan Yuan, Hui Wei, Ran Paul, Manoranjan College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China School of Control Science and Engineering Shandong University Jinan China Science and Technology on Electro-optic Control Laboratory Luoyang China Charles Sturt University Bathurst Australia

ISBN: (纸本)9798350313154

Discovering inter-point connection for efficient high-dimensional feature extraction from point coordinate is a key challenge in processing point cloud. Most existing methods focus on designing efficient local feature extractors while ignoring global connection, or vice versa. In this paper, we design a new Inductive Bias-aided Transformer (IBT) method to learn 3D inter-point relations, which considers both local and global attentions. Specifically, considering local spatial coherence, local feature learning is performed through Relative Position Encoding and Attentive Feature Pooling. We incorporate the learned locality into the Transformer module. The local feature affects value component in Transformer to modulate the relationship between channels of each point, which can enhance self-attention mechanism with locality based channel interaction. We demonstrate its superiority experimentally on classification and segmentation tasks. The code is available at: https://***/jiamang/IBT © 2023 ieee.

关键词： computer vision

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High-precision trajectory tracking control for parallel robots based on the super-helical algorithm 5

High-precision trajectory tracking control for parallel robo...

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5th international conference on computer engineering and Application (ICCEA)

作者： Jiang, Haowei Quan, Lidi Li, Bing Liu, Ruchao HuZhou Univ Engn Coll Huzhou Peoples R China

ISBN: (纸本)9798350386783;9798350386776

With the growing demand for industrial automation, the application of high-performance parallel robot systems in complex operations has become increasingly important. However, these systems are often affected by unknown environmental disturbances and modeling uncertainties, making precise control a significant challenge. This paper proposes an adaptive super-helical integral terminal sliding mode control strategy to address the trajectory tracking problem of parallel robots in the face of complex disturbances. First, the dynamics model of the parallel robot is detailed, and a novel controller is designed based on this model. The control strategy integrates the approach law method, the super-helical algorithm, and the integral terminal sliding mode technique to enhance the system's robustness and dynamic response speed. Simulation experiment results demonstrate that the proposed control strategy exhibits significant advantages in resisting disturbances and suppressing system vibrations compared to traditional PID control and fuzzy sliding mode control. The controller design in this study not only improves trajectory tracking accuracy but also demonstrates its potential value in practical industrial applications.

关键词： Parallel Robot Trajectory Tracking Adaptive Control Sliding Mode Control Super-Helical Algorithm

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