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Enhanced Multi-Modal Gas Leakage Detection with NSMOTE: A Novel Over-sampling Approach 8

Enhanced Multi-Modal Gas Leakage Detection with NSMOTE: A No...

引用

8th International Conference on Smart Cities, Internet of Things and Applications, SCIoT 2024

作者： Azizian, Aref Yousefimehr, Behnam Ghatee, Mehdi Dep. of Math. & Computer Science Iran

ISBN: (纸本)9798350374674

Urbanization and the emergence of smart cities have led to increased industrial activities, raising concerns about safety and environmental hazards. Detecting and monitoring gas leaks accurately is crucial due to the significant risks they pose to public health and the environment. In this study, we propose a novel approach that combines thermal imaging with sensor data to enhance gas detection accuracy in urban and industrial settings. By employing advanced algorithms and analyzing extensive datasets, our methodology achieves an impressive accuracy rate of 99.32%, setting a new standard in gas leak detection. Our innovation lies in the utilization of a unique oversampling technique called Normal Synthetic Minority Oversampling Technique (NSMOTE), coupled with the simultaneous integration of thermal imaging and sensor data within a multimodal framework. This breakthrough not only underscores the potential of integrating diverse data sources for environmental monitoring but also represents a significant stride in mitigating the risks associated with industrial gas emissions. © 2024 IEEE.

关键词： Data integration

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Preventing Overfitting on Noisy Labels Through Adaptive Checkpointing 10

Preventing Overfitting on Noisy Labels Through Adaptive Chec...

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10th International Conference on Signal Processing and Intelligent Systems, ICSPIS 2024

作者： Azizian, Aref Ahmadian, Rouhollah Ghatee, Mehdi Shamsi, Mostafa Amirkabir University of Technology Dep. of Math. and Computer Science Tehran Iran

ISBN: (纸本)9798331532543

Overfitting and the presence of noisy labels are significant challenges in the training of machine learning models, particularly in complex datasets. This paper introduces a novel checkpointing method designed to mitigate overfitting while maintaining model calibration in the presence of noise. Our approach leverages the entropy of the two largest predicted probabilities from the model's output to determine when to save the model during training. This entropy-based criterion allows for effective checkpointing without necessitating a separate validation set. We evaluate our method across various datasets characterized by different noise levels and model architectures. The results demonstrate that our entropy-based checkpointing offers a more robust solution for managing model performance during training. This work contributes to the ongoing efforts to enhance model reliability in real-world applications where data imperfections are prevalent. © 2024 IEEE.

关键词： Entropy-Based Metric Noisy Labels Overfitting Prevention

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Streams as Seams: Carving trajectories out of the time-frequency matrix 17

Streams as Seams: Carving trajectories out of the time-frequ...

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17th Sound and Music Computing Conference, SMC 2020

作者： Capizzi, Giovanni Rocchesso, Davide Baldan, Stefano Dep. of Math. and Computer Science University of Palermo Italy Berlin Germany

ISBN: (纸本)9788894541502

A time-frequency representation of sound is commonly obtained through the Short-Time Fourier Transform. Identifying and extracting the prominent frequency components of the spectrogram is important for sinusoidal modeling and sound processing. Borrowing a known image processing technique, known as seam carving, we propose an algorithm to track and extract the sinusoidal components from the sound spectrogram. Experiments show how this technique is well suited for sound whose prominent frequency components vary both in amplitude and in frequency. Moreover, seam carving naturally produces some auditory continuity effects. We compare this algorithm with two other sine extraction techniques, based on peak detection on spectrogram frames. The seam carving skips this step and turns out to be applicable to a variety of sounds, although being more computationally expensive. Copyright © 2020 Giovanni Capizzi et al.

关键词： Spectrographs

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Real-Time Audio Analysis for Detection of Apnea Intervals in Health-Care System 10

Real-Time Audio Analysis for Detection of Apnea Intervals in...

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10th International Conference on Signal Processing and Intelligent Systems, ICSPIS 2024

作者： Vahdani, Alireza Rahmati, Mahdieh Sharifi, Mehdi Ghatee, Mehdi Amirkabir University of Technology Iran Dep. Of Math. And Computer Science Tehran Iran

ISBN: (纸本)9798331532543

Accurate detection of respiratory pauses is crucial in patients undergoing cataract surgery under sedation, as undetected pauses can lead to serious complications. Conventional monitoring techniques, such as pulse oximetry and capnography, often fail to detect respiratory pauses in a timely manner, limiting their effectiveness in high-stakes clinical settings. To address this gap, we propose an automated method leveraging tracheal sound analysis using a deep learning model based on ResNet18. Our approach incorporates signal processing techniques, noise reduction, Mel-spectrogram extraction, and data augmentation, to optimize the model's performance. The model was evaluated using multiple performance metrics, including AUC of the precision-recall curve, F1 score, etc. It achieved an AUC of 92.5% and an F1 score of 89% for the apnea class, demonstrating the system's potential for precise, real-time respiratory monitoring in clinical environments. © 2024 IEEE.

关键词： Image coding

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A Model-prover for constrained dynamic conversations 08

A Model-prover for constrained dynamic conversations

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10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008

作者： Cacciagrano, Diletta Corradini, Flavio Culmone, Rosano Tesei, Luca Vito, Leonardo University of Camerino Math. and Comp. Science Dep. Camerino Italy

ISBN: (纸本)9781605583495

In a service-oriented architecture, systems communicate by exchanging messages. In this work, we propose a formal model based on OCL-constrained UML Class diagrams and a methodology based on Alloy Analyzer respectively for describing and verifying any first-order constrained client-server conversations. This framework allows us to verify conversation protocol designs at a fairly detailed level and to check first-order logic constraints on both message flows and message contents. Copyright 2008 ACM.

关键词： WSDL

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Sound spatialization control by means of acoustic source localization system

Sound spatialization control by means of acoustic source loc...

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8th Sound and Music Computing Conference, SMC 2011

作者： Salvati, Daniele Canazza, Sergio Rodà, Antonio AVIRES Lab Dep. of Math. and Computer Science University of Udine Italy Sound and Music Computing Group Dep. of Information Engineering University of Padova Italy

This paper presents a system for controlling the sound spatialization of a live performance by means of the acoustic localization of the performer. Our proposal is to allow a performer to directly control the position of a sound played back through a spatialization system, by moving the sound produced by its own musical instrument. The proposed system is able to locate and track the position of a sounding object (e.g., voice, instrument, sounding mobile device) in a two-dimensional space with accuracy, by means of a microphone array. We consider an approach based on Generalized Cross-Correlation (GCC) and Phase Transform (PHAT) weighting for the Time Difference Of Arrival (TDOA) estimation between the microphones. Besides, a Kalman filter is applied to smooth the time series of observed TDOAs, in order to obtain a more robust and accurate estimate of the position. To test the system control in real-world and to validate its usability, we developed a hardware/software prototype, composed by an array of three microphones and a Max/MSP external object for the sound localization task. We have got some preliminary successfully results with a human voice in real moderately reverberant and noisy environment and a binaural spatialization system for headphone listening. © 2011 Daniele Salvati et al.

关键词： Time difference of arrival

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Feature selection method for real-time speech emotion recognition 20

Feature selection method for real-time speech emotion recogn...

引用

20th Conference of the Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques, O-COCOSDA 2017

作者： Elbarougy, Reda Akagi, Masato Japan Advanced Institute of Science and Technology Japan Dep. of Math. Faculty of Science Damietta University Egypt

ISBN: (纸本)9781538633335

Feature selection is very important step to improve the accuracy of speech emotion recognition for many applications such as speech-to-speech translation system. Thousands of features can be extracted from speech signal however which features are the most related for speaker emotional state. Until now most of related features to emotional states are not yet found. The purpose of this paper is to propose a feature selection method which have the ability to find most related features with linear or non-linear relationship with the emotional state. Most of the previous studies used either correlation between acoustic features and emotions as for feature selection or principal component analysis (PCA) as a feature reduction method. These traditional methods does not reflect all types of relations between acoustic features and emotional state. They only can find the features which have a linear relationship. However, the relationship between any two variables can be linear, nonlinear or fuzzy. Therefore, the feature selection method should consider these kind of relationship between acoustic features and emotional state. Therefore, a feature selection method based on fuzzy inference system (FIS) was proposed. The proposed method can find all features which have any kind of above mentioned relationships. Then A FIS was used to estimate emotion dimensions valence and activations. Third FIS was used to map the values of estimated valence and activation to emotional category. The experimental results reveal that the proposed features selection method outperforms the traditional methods. © 2018 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Chemical activation

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Parallel solutions of simple indexed recurreno equations

引用

4th International Conference on Parallel Processing, Euro-Par 1998

作者： Ben-Asher, Yosi Haber, Gady Dep. of Math. and CS Haifa University 31905 Haifa Israel IBM Science and Technology Haifa Israel

ISBN: (纸本)3540649522

We consider a type of recurrence equations called "Simple Indexed Recurrences" (SIR) wherein ordinary recurrences of the form X[i] = opi(X[i -1], X[i]) (i = 1. n) are extended to X[g(i)]=opi(X[f(i)], X[g(i)]) such that opi is an associative binary operation, f,g : {l.n}→ {l.m} and g is distinct. This extends our capabilties for parallelizing loops of the form: for i = 1 to n { X[i] = opi(X[i - l],X[i]) } to the form: for i = 1 to n { X[g(i)] = opi(X[f(i)],X[g(i)}) }. An efficient solution is presented for the special case where we know how to compute the inverse of opi operator. The algorithm requires 0(log n) steps with 0(n/logn) processors. Furthermore, we present a practical and a more improved version of the non-optimal algorithm for SIR presented in [1] which uses repeated iterations of pointer jumping. A sequence of experiments was performed to test the effect of synchronous and asynchronous message-passing executions of the algorithm for p

关键词： Message passing

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BioGraph: Knowledge discovery and exploration in the Biomedical domain

BioGraph: Knowledge discovery and exploration in the Biomedi...

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11th IEEE International Conference on Data Mining Workshops, ICDMW 2011

作者： De Knijf, Jeroen Liekens, Anthony Daelemans, Walter De Rijk, Peter Del-Favero, Jurgen Goethals, Bart Dep. of Math. and Computer Science Antwerp University Belgium VIB Department of Molecular Genetics Antwerp University Belgium CLIPS Antwerp University Belgium

ISBN: (纸本)9780769544090

We present a data integration and datamining platform, called BioGraph, for knowledge discovery in the biomedical domain. BioGraph allows for the automated formulation of comprehensible functional hypotheses relating a concepts to targets. A typical setting in which BioGraph can assist, is gene prioritization. That is, given the researcher's interest in a certain disease, predict those genes that are most likely of being involved in this disease. Our system is based on cutting-edge graph and network mining techniques, adapted to specific demands and properties of data and researchers in the Biomedical domain. The basis is constructed by the integration of heterogeneous biomedical knowledge bases. On this unified network BioGraph provides literature supported indirect functional relations. By assessing the plausibility and specificity of these hypothetical functional paths, the unsupervised methodology is capable of appraising and ranking of research targets, without requiring prior domain knowledge from the user. BioGraph is implemented as a web service and is available at: ***. © 2011 IEEE.

关键词： Data integration

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The Impact of GPU on Containerized computer Vision Applications on Edge Nodes 8

The Impact of GPU on Containerized Computer Vision Applicati...

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8th IEEE International Conference on Edge Computing and Communications, EDGE 2024

作者： Alqaisi, Osamah I. Tosun, Ali Saman Korkmaz, Turgay University of Texas at San Antonio Department of Computer Science San AntonioTX78249 United States The University of North Carolina at Pembroke Dep. of Math. and Computer Science NC28372 United States

ISBN: (纸本)9798350368499

Edge computing revolutionizes computer vision, but faces challenges due to computational demands and complexities in dep.oyment and platform integration. In addressing these hurdles, container technology emerges as a crucial solution, particularly in mitigating dep.oyment and security issues. However, the impact of GPU acceleration on containerized computer vision applications remains understudied. This paper explores containerized computer vision applications across ARM edge devices, analyzing performance on different CPUs and GPUs. Insights cover processing time, CPU usage, memory utilization, and application performance, highlighting the importance of ARM processor selection. Integrating CPU and GPU enhances execution time but leads to significant memory usage increases. Workload escalation strains the GPU, resulting in slowed processing, and its performance becomes comparable to that of the CPU. Furthermore, the performance of computer vision applications varies with different containers. These findings underscore the delicate balance between CPU and GPU utilization and the pivotal role of algorithm selection in optimizing containerized computer vision applications on edge devices. © 2024 IEEE.

关键词： ARM processors

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