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检索条件"丛书名=Lecture Notes in Networks and Systems"

共 9894 条记录，以下是3841-3850 订阅

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Robust Animal Tracking and Stereotypical Behavior Detection Under Real Environment Using Temporal Averaging Background Subtraction

Robust Animal Tracking and Stereotypical Behavior Detection ...

引用

Intelligent systems Conference (IntelliSys)

作者： Wang, Ruqin Noguchi, Wataru Zhang, Enzhi Osada, Koki Yamamoto, Masahito Hokkaido Univ Sapporo Japan

ISBN: (纸本)9783031477232;9783031477249

In ethology research, there have been growing interests in using machine learning method to detect animals and analyze their behaviors, especially from video data. However, behavior analysis is still challenging in the outdoor environment because of the dynamic background and sudden illumination changes. Instead of the previous laboratory setting, we aimed to perform animal behavior analysis outdoors. Specifically, our target of detection and behavior analysis is a polar bear captured by a security camera in a zoo. We focus on analyzing stereotypical behavior, which is critical for understanding the psychological stress of animals. For detection and analysis, we proposed a method that includes background extraction, object detection, and repeating pattern detection for stereotypical behavior detection based on the compression ratio of the detected bear's location sequences under serialization. Our experimental result shows our method could provide accurate detection (98.3%AP50) and behavior recognition (Accuracy 90.6%) while maintaining high robustness to various noises.

关键词： Ethology Stereotypical behavior Animal's behavior recognition Object detection YOLOv5s

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Human-Motion Guided Frame Selection with Adaptive Gamma Correction for Violent Video Classification 1

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20th International Conference on Computing and Information Technology (IC2IT2)

作者： Sooksatra, Sorn Watcharapinchai, Sitapa Natl Sci & Technol Dev Agcy Natl Elect & Comp Technol Ctr Pathum Thani Thailand

ISBN: (数字)9783031585616

ISBN: (纸本)9783031585609;9783031585616

This paper proposes a human-motion guided frame selection approach for violent video classification. The human-motion features are computed by determining the frame difference within the detected human regions. Additionally, adaptive gamma correction is introduced in the motion signal to mitigate abrupt motion. The experiment is evaluated on RWF-2000 dataset by using I3D network as a classification model. The empirical results demonstrate that the proposed method outperforms the state-of-the-art methods in violent classification. Selecting more informative frames can improve the classification performance compared to traditional frame selection methods that use uniform sampling. Therefore, the proposed method enables the extraction of more informative frames.

关键词： Frame Selection Violent Video Classification Gamma Correction Human Detection

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A Three-Phase Heart Rate Variability Analysis for Assessing Cardiac Health Deterioration in Diabetics 1

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Shirole, Ulka Joshi, Manjusha AC Patil Coll Engn Navi Mumbai 410210 Maharashtra India Amity Univ Mumbai Pune Express Way Panvel 410206 Maharashtra India

ISBN: (数字)9789819713202

ISBN: (纸本)9789819713196;9789819713202

Diabetes is a prevalent global ailment that results in dysfunction in multiple organs throughout the body. Dysfunction in the autonomous nervous system (ANS) and cardiac health due to elevated glucose levels are studied from one time heart rate variability (HRV) analysis. Regular analysis is essential to monitor the rate of degradation caused by diabetes. This study introduces a three-stage HRV analysis to investigate the cardiac health decline resulting from diabetes. Diabetes data, collected during 15-minute recording sessions in both supine and sitting positions, undergoes analysis in three distinct phases. The time gap between the two ECG readings is six months. Patients with diabetes may or may not be taking medication. The outcomes of a three-point investigation will aid in evaluating changes, either deteriorative or ameliorative, in the cardiac health of these patients. The findings indicate that the orthostatic stress index (OSI) and the LF/HF ratio prove to be highly responsive and efficient indicators for assessing the decline in cardiac health. These parameter values can guide medical practitioners in prescribing appropriate medications.

关键词： Diabetes Heart rate variability Autonomous nervous system Cardiac health

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Extrapolation of Periodic Signal with Poisson Noise Using Neural networks 13th

Extrapolation of Periodic Signal with Poisson Noise Using Ne...

引用

13th Computer Science Online Conference

作者： Melichercik, Martin Dobrotka, Andrej Slovak Univ Technol Bratislava Fac Mat Sci & Technol Trnava Trnava 91724 Slovakia

ISBN: (纸本)9783031705946;9783031705953

Designing an algorithm capable of extrapolating a periodic signal with Poisson noise turns out to be a difficult problem. In this work, we focused on the extrapolation of this kind of a signal using a convolutional neural network and recurrent neural network. It appears that simulations with real noise level is problematic. For extrapolation to be correct, we need an algorithm that can either predict the signal with real Poisson noise or the pure signal without the noise (Poisson noise can be subsequently added). This means that it must find the character of the signal (period, amplitude, phase, and modulation of the signal). It turns out that convolutional and recurrent neural networks are capable of just such an extrapolation. Next, we focused on the methods of data preprocessing (standardization and normalization) and found out how they affect the results. Although preprocessing is used to make machine learning algorithms work faster and more accurately, it turns out that it is not always the case.

关键词： Extrapolation Periodic signal Neural networks

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Modelling Heat Input of Pulsed GMAW as the Function of Weld Geometry 10th

Modelling Heat Input of Pulsed GMAW as the Function of Weld ...

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International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Tasic, Petar Hajro, Ismar Softic, Almira Univ Sarajevo Mech Engn Fac Vilsonovo Setaliste 9 Sarajevo 71000 Bosnia & Herceg

ISBN: (纸本)9783031662676;9783031662683

Modern metal fabrication would not be possible without highly efficient welding processes. One of them is Gas Metal Arc Welding (GMAW), which has several variants, including pulsed. Pulsing significantly reduces spatter and is widely used in fully mechanized and robotic welding systems. On the other side, large-scale welding needs adequate and efficient heat input and seam geometry control. This paper presents models describing heat input as the function of required weld geometry. Research has been made using low-alloyed structural steels with two thicknesses, 4 mm and 8 mm, using pulsed GMAW in horizontal position, while models have been developed using statistical tools. This paper elaborates advantages and disadvantages of such approach, as well as comparison with similar concepts available in literature.

关键词： heat input pulsed GMAW weld geometry structural steel

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Generalizing Uninorms on a Sublattice of a Bounded Lattice to New Uninorms in a Bounded Lattice

Generalizing Uninorms on a Sublattice of a Bounded Lattice t...

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Cayli, Gul Deniz Karadeniz Tech Univ Fac Sci Dept Math TR-61080 Trabzon Turkiye

ISBN: (纸本)9783031671913;9783031671920

Uninorms in bounded lattices that are outstanding expansions of triangular norms and triangular conorms have drawn much attention from investigators. These operators give permission the identity i to be situated in any place of a bounded lattice T that includes the greatest element and smallest element, represented as 1 and 0, respectively. Specifically, a uninorm is transformed into a triangular norm (or triangular conorm) whenever i = 1 (or i = 0). In this article, two procedures are proposed to build innovative forms of uninorms in a bounded lattice T through a uninorm determined in the sublattice [0, k] (or [t, 1]) of T that possesses an identity i is an element of]0, k[ (or i is an element of]t, 1[). Furthermore, some explicatory examples are put forward in order to display that these building procedures for uninorms vary from the present ones in the literature.

关键词： Bounded lattice T-conorm T-norm Uninorm

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Demonstration of a Micro Wall-Climbing Robot Moving on Metal Surfaces 27th

Demonstration of a Micro Wall-Climbing Robot Moving on Metal...

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27th International Conference on Climbing and Walking Robots and Mobile Machine Support Technologies (CLAWAR)

作者： Akadochi, Takuro Khalil, Mohamed M. Mashimo, Tomoaki Okayama Univ Grad Sch Environm Life Nat Sci & Technol Okayama Japan Arab Acad Sci Technol & Maritime Transport Fac Engn & Technol Mech Engn Dept Cairo Egypt

ISBN: (纸本)9783031707216;9783031707223

In recent years, many of the piping systems used in Japan are more than 50 years old, and the risk of rupture due to aging is increasing. Therefore, many researches related to inspection robots that can navigate inside pipes are presented. However, general mobile robots can only be used in large-diameter pipes. In this study, a micro-robot that can be used for small-diameter in-pipe inspection tasks is introduced. The robot is fitted with magnetic wheels that permit locomotion on metal surfaces even in the vertical direction. In addition, a micro ultrasonic motor that can generate high torque is developed for the actuation mechanism. The micromotor generates a torque of about 30 mu Nm at 40 Vp-p. To achieve higher mobility, the micro ultrasonic motor is integrated with the smallest planetary gear system ever built. In the demonstration, the mobility performance of the robot is evaluated through a series of experiments.

关键词： Micro Robot Ultrasonic Motor Planetary Gear System Magnetic Wheels

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Identification of Cotton Leaf Curl Disease Using CNN and Vision Transformer

Identification of Cotton Leaf Curl Disease Using CNN and Vis...

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Intelligent systems Conference (IntelliSys)

作者： Biju, Goel Khan, Asiya Walker, David Qadri, Salman Hssan, Qaim Mahmood, Khalid Hanan, Abdul Univ Plymouth Sch Engn Comp & Math Plymouth PL4 8AA England Muhammad Nawaz Sharif Univ Agr Multan Dept Comp Sci Multan Pakistan SAWIE Int Rawalpindi Pakistan

ISBN: (纸本)9783031477232;9783031477249

Cotton is one of the most widely cultivated crops in the world, with a large proportion grown in developing countries. For better cotton management and yield, deep learning techniques are developed in this work. Therefore, the aim of this paper is twofold: first to create an open-source dataset of healthy and diseased cotton leaves (leaf curl virus-affected). A new custom dataset and the training/validation/testing sets and the raw dataset themselves have been provided in the GitHub repository. Secondly, to develop image classification models based on Convolution Neural networks (CNNs) through an initial baseline model and Vision Transformer ( ViT) of the cotton leaves. It shows how the vanilla model for a vision transformer with the addition of existing algorithms such as shifted patch tokenisation and locality self-attention can be used in this context to give over 80% accuracy on an unseen testing dataset. Facebook Research's ConViT hybrid model with GPSA layers is also evaluated in this context, using the automatic andmanual implementation from code, and has shown the "convit-base" model providing nearly 85% accuracy and better generalisation over the epochs of training than the CNN baselines and the ViT model.

关键词： Cotton Leaf Curl Convolutional Neural Network Vision Transformer

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Variational Quantum Algorithms in Anomaly Detection, Fraud Indicator Identification, Credit Scoring, and Stock Price Prediction 9th

Variational Quantum Algorithms in Anomaly Detection, Fraud I...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Thi, Hiep L. Thanh Nguyen Thu Dau Mot Univ Fac Educ Binh Duong 75000 Vietnam Duy Tan Univ Inst Res & Dev Da Nang Vietnam

ISBN: (纸本)9789819733019;9789819733026

The quantum processors' performance is predicted to surpass the application of variational quantum algorithms in finance has proven to be instrumental in addressing crucial challenges. From enhancing security through anomaly detection and fraud indicator identification to optimizing credit scoring and improving stock price prediction, VQAs demonstrate their versatility and potential to revolutionize the financial industry's analytical capabilities. As quantum computing continues to advance, the integration of VQAs is expected to play an increasingly pivotal role in shaping the future of financial technology. In this paper, we review variational quantum algorithms in anomaly detection and fraud indicator systems, credit scoring, and stock price prediction.

关键词： Quantum computing Quantum machine learning Variational quantum algorithms

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Evaluation of Precipitation Products Against Rain Gauges with Respect to Precipitation Classes and the Possible Positive Impact of Pre-processing 13th

Evaluation of Precipitation Products Against Rain Gauges wit...

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13th Computer Science Online Conference

作者： Mojzis, Jan Slovak Acad Sci Inst Informat Dubravska Cesta 9 Bratislava Slovakia

ISBN: (纸本)9783031702846;9783031702853

In the article, we evaluate ten precipitation products against rain gauges. The time coverage consists of 25 days in different years, seasons and average daily totals. The metrics used are correlations and RMSE, which we categorize by precipitation classes. According to the measured results, the products with the highest average correlations and the lowest average RMSE values are EURAD, Icon and Icon-EU. We have recorded the positive impact of applying different types of pre-processing to precipitation products.

关键词： precipitation estimation Slovakia precipitation class precipitation pre-processing

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