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High Precision Analog signal processing Method for Multi-voltage Reference 3

High Precision Analog Signal Processing Method for Multi-vol...

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3rd international conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

作者： Wang, Yonggui Li, Yunpeng Huang, Lvchao Deng, Siyang State Grid Information & Telecommunication Group Co. Ltd Academy of Information and Communication Research Beijing China

ISBN: (纸本)9798350303698

In order to solve the problem of low voltage reference chip stability, an analog signal processing method based on multi-voltage reference chip is designed. Multiple voltage reference chips are used in circuit design. One voltage reference chip is connected to AD chip as external reference input, and the remaining voltage reference chip is connected to different analog inputs of AD chip. Digital signal processing sends synchronous acquisition signal to the AD chip, receives the multichannel voltage reference digital signal fed back by the AD chip, judges the validity of the multi-channel voltage reference digital signal, and determines the final voltage reference through the fusion compensation of the multi-channel reference signal, so as to realize the purpose of high-precision analog signal processing. © 2023 IEEE.

关键词： Digital signal processing

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Implementation Of Integrated Mashup Service a concepts 3

Implementation Of Integrated Mashup Service a concepts

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3rd IEEE international conference on Sensing, signal processing and Security (ICSSS)

作者： Rane, Priti V. Kulkarni, Umesh Alamuri Ratnamala Inst Engn & Technol Dept Comp Engn Shahapur India Vidyalankar Inst Technol Dept Comp Engn Wadala India

ISBN: (纸本)9781509049295

Academia and industries are showing great deal of interest in integration of various web services. Result of numerous corresponding web services merged into one, which leads to discovery of new types of information. With the advent of Web 2.0, there has been a substantial increase in development and usage of E-commerce websites. But this has also lead to new arenas of requirements that open up such has an efficient data mining technology for searching, robust & reliable infrastructure. Amalgamation of web 2.0 and integrated web mashup services give advantages to user. As a result, user can interact easily with different types of services as per application of interest. Integrated mashup service system used user behavior analysis for clustering of data. data of various web services is clustered by using Euclidean distance algorithm. Finally structured output is shown to the user based multiple predictions of particular user. This paper adopts Knowledge Discovery in Services (KDS) process, which leads to discover new type of data.

关键词： data Mining Web Mashup Clustering

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Intelligent Health Assessment System for Paddy Crop Using CNN 3

Intelligent Health Assessment System for Paddy Crop Using CN...

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3rd international conference on signal processing and Communication (ICPSC)

作者： Sankar, Pagadala Rohit Sai RamaKrishna, Siva D. . P. S. Rakesh, Mutyala Mani Venkata Raja, P. Vinh Truong Hoang Szczepanski, Cezary SASTRA Deemed Univ Sch Mech Engn Thanjavur 613401 Tamil Nadu India Ho Chi Minh City Open Univ Fac Comp Sci Ho Chi Minh City Vietnam Lukasiewicz Res Network Inst Aviat Warsaw Poland

ISBN: (纸本)9781665428644

Crop cultivation plays an essential role in the agricultural field. Presently, the loss of food is mainly due to infected crops, which reflexively reduces the production rate. Health monitoring and disease detection on plant is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires a tremendous amount of work as well as expertise. Hence, an intelligent crop health assessment system using deep learning based on Convolutional Neural Networks (CNN) was proposed. The steps involved are image acquisition, pre-processing, data augmentation and classification. Image of the plant is captured using a smartphone with a camera. Captured images are pre-processed. data augmentation has been done on the training data set. Implementation of CNN model yielded an accuracy of 85%. The model has been tested against a set of images collected manually.

关键词： Health monitoring Health assessment Deep learning data augmentation Classification Training data set

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ECG Monitoring and Anomaly Detection Based on Compressed Measurements 2018

ECG Monitoring and Anomaly Detection Based on Compressed Mea...

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3rd international conference on Biomedical Imaging, signal processing (ICBSP)

作者： Galli, Alessandra Narduzzi, Claudio Giorgi, Giada Univ Padua Dept Informat Engn Padua Italy

ISBN: (纸本)9781450364775

Long-term monitoring systems based on wearable devices and local devices with computational capabilities -smartphone, smartwatch- could be used in the prevention of cardiovascular disease in risk subjects or during the follow-up for increasing the quality of life. In this paper we propose a lightweight solution that firstly exploits compressive sensing for locally reducing the amount of raw data, and successively employs a detection algorithm operating directly on the compressed domain for extracting only meaningful information to send at the medical staff. Performances of the proposed solution have been assessed under different conditions. Results show that the algorithm is able of identifying with a good precision and sensitivity the ECG features -QRS complexes and T, P waves- even with high compression ratios of about 20 - 50%.

关键词： Electrocardiography (ECG) Cardiovascular Diseases (CVD) data Compression Compressive Sensing (CS) pattern matching

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Landmine detection Improvement Using One-Class SVM for Unbalanced data 3

Landmine detection Improvement Using One-Class SVM for Unbal...

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3rd international conference on Advanced Technologies for signal and Image processing (ATSIP)

作者： Tbarki, Khaoula Ben Said, Salma Ksantini, Riadh Lachiri, Zied Univ Tunis El Manar SITI ENIT Res Lab Tunis Tunisia Univ Tunis El Manar ENIT SITI INSATRes Lab Tunis Tunisia Univ Windsor Windsor ON Canada SUPCOM Securite Numer Tunis Tunisia Univ Tunis El Manar ENIT Dept Elect Engn Res Lab SITI Tunis Tunisia

ISBN: (纸本)9781538605516

Ground Penetrating Radar (GPR) has been a precious tool for humanitarian demining. The GPR scans the ground and delivers a three-dimensional matrix representing three types of data: Ascan, Bscan and Cscan. The Ascan data represents the response from a reflection signal of a pulse emitted by the GPR at a given position. In the proposed landmine detection method, the Ascan data is normalized and then classified using Kernel based One Class Support Vector Machine (OSVM). In fact, OSVM has the main advantage of handling unbalanced data, where is not the case for multiclass SVM. Our landmine detection method was tested and evaluated on the MACADAM database which is composed of 11 scenarios of landmines and 3 scenarios of inoffensive objects (wood stick, SodaCan, pine, stone). Experimental results have shown the superiority of the RBF kernel OSVM over others kernel functions based multiclass SVM in term of classification accuracy especially, as landmine data is unbalanced.

关键词： Ground penetrating radar one class SVM multiclass SVM kernel functions landmine detection and discrimination

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Design of a Real-time signal processing System for LIF Sensor

Design of a Real-time Signal Processing System for LIF Senso...

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3rd international Photonics and OptoElectronics Meetings

作者： Zhao Xian-de Zheng Wen-gang Dong Da-ming Shen Chang-jun Zhang Xin Zhou Jian-jun Yan Hua Wu Wen-biao Natl Engn Res Ctr Informat Technol Agr Beijing 100097 Peoples R China

Laser Induced Fluorescence (LIF) sensor is one of the most sensitive approaches available for a variety of analytical applications, such as determination of nitrogen content of plant leaves, detection of chlorophyll content in water, etal. As a core instrumental requirements of real time LIF sensor, signal processing system is used to store effective processing and identification algorithms in a short time. By analyzing the working principle of LIF sensor in detail, a novel platform of signal processing system used in LIF sensor is proposed in this paper. The design solutions and hardware architecture of the system are described in this paper, include Digital signal Processor (DSP), data transmission block, and memory block. Several steps of signal processing methods are proposed, according to the characteristic of LIF sensor. At last, an application of using the signal processing system designed in this paper for measuring chlorophyll content in plant leaves is shown.

关键词： LIF sensor real time signal processing chlorophyll

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A Survey of Distance Metrics in Clustering data Mining Techniques 19

A Survey of Distance Metrics in Clustering Data Mining Techn...

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3rd international conference on Graphics and signal processing (ICGSP)

作者： Mercioni, Marina Adriana Holban, Stefan Politehn Univ Timisoara Dept Comp Sci Timisoara Romania

ISBN: (纸本)9781450371469

Lately, due to the increasing size of databases, several aspects have been studied in detail, such as grouping, searching for the closest neighbor and other identification methods. It has been found that in the multidimensional space, the concept of distance does not offer high performance. In this paper, we study the effect of different types of distances on the group to see the similarities between objects. Among these distances we mention two distances: the Euclidean distance and Manhattan distance, implemented in a system developed to identify the architectural styles of the buildings. The aim of this paper is using cluster analysis to identify distance metrics impact in detection of architectural styles using data Mining techniques.

关键词： Distance metrics Manhattan distance Euclidean distance clustering image analysis architectural styles detection cluster analysis

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processing of Input signals of Wireless Monitoring Networks by Means of Subscriber Systems 3

Processing of Input Signals of Wireless Monitoring Networks ...

引用

3rd international conference on Advanced Information and Communications Technologies, AICT 2019

作者： Shevchuk, Bohdan Brayko, Yuriy Geraimchuk, Mykhaylo Ivakhiv, Orest Velgan, Roman National Academy of Sciences of Ukraine NASU Glushkov Institute of Cybernetics Kyiv Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Kyiv Ukraine Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9781728123998

Operative processing, coding and express analysis of monitoring signals, determination of information states of monitoring objects based on calculation of correlation, spectral, entropy and chaotic parameters of signal samples with the use of parameters of the most informative essential signal samples are proposed. The compact and protected monitoring data arrays formed near to stream source location, as well as the results of the express signal analysis, are the basis for minimizing the information packets in wireless networks. © 2019 IEEE.

关键词： signal analysis

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Region-based Birdcall Recognition Using signal processing 3

Region-based Birdcall Recognition Using Signal Processing

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3rd international conference on Machine Learning, Big data and Business Intelligence (MLBDBI)

作者： Zhang, Yunqi Univ Calif Santa Barbara Santa Barbara CA 93106 USA

ISBN: (纸本)9781665417907

The unique trait of birdsong provides a method for the investigation of bird population based on birdcall recognition. Due to the living habit and geographical distribution of bird species, the recognition of birdcall might be affected by birds' location. The effect of location on a different type of models' prediction performance is investigated in this paper. This research implements three types of predictive models convolutional neural network (CNN), recurrent neural network (RNN), and support vector machine (SVM) - over three countries: Japan, Sweden, and Norway. signal processing is used for pre-processing of the dataset to obtain Mel Frequency Cepstrumas, the input of three models. Based on the evaluation of model performances, including training time, accuracy, AUC score, F1 score, recall, and precision, the best model of each country is selected: SVM for Japan with 93% accuracy, CNN for Sweden and Norway with 98% and 94% accuracy respectively. The difference in the performance of models in different countries indicates that a country-based prediction of birdsong using varied models may help improve the performance of birdcall recognition.

关键词： birdcall sound recognition signal processing SVM CNN RNN MFCC

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Review of Network Anomaly Detection in the High-speed Railway signal System Based on Artificial Intelligence 3

Review of Network Anomaly Detection in the High-speed Railwa...

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3rd IEEE international conference on Computer Communication and Artificial Intelligence, CCAI 2023

作者： Li, Siyuan Wang, Jing Beijing Jiaotong University School of Electronic and Information Engineering Beijing China

ISBN: (纸本)9798350335262

The advent of network communication technology and associated equipment has significantly enhanced the operation efficiency and automation of the high-speed railway signal system. However, these open and complex networks also face increased security threats. To mitigate the risk of malicious network attacks, effective network anomaly detection methods are progressively being adopted. Artificial intelligence (AI), with its exceptional self-learning, environmental adaptability, and massive data processing capabilities, has emerged as the development trend for network anomaly detection in the high-speed railway signal system. This paper first provides an overview of the current state of network security in the high-speed railway signal system and examines potential network security threats. It then offers a detailed comparison of AI-based network anomaly detection methods. Lastly, it discusses future research directions in this field. © 2023 IEEE.

关键词： Network security

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