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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Huaibo Zhao Shinya Fujie Tetsuji Ogawa Jin Sakuma Yusuke Kida Tetsunori Kobayashi Department of Communications and Computer Engineering Waseda University Tokyo Japan Line Corporation Tokyo Japan

During conversations, humans are capable of inferring the intention of the speaker at any point of the speech to prepare the following action promptly. Such ability is also the key for conversational systems to achieve rhythmic and natural conversation. To perform this, the automatic speech recognition (ASR) used for transcribing the speech in real-time must achieve high accuracy without delay. In streaming ASR, high accuracy is assured by attending to look-ahead frames, which leads to delay increments. To tackle this trade-off issue, we propose a multiple latency streaming ASR to achieve high accuracy with zero look-ahead. The proposed system contains two encoders that operate in parallel, where a primary encoder generates accurate outputs utilizing look-ahead frames, and the auxiliary encoder recognizes the look-ahead portion of the primary encoder without look-ahead. The proposed system is constructed based on contextual block streaming (CBS) architecture, which leverages block processing and has a high affinity for the multiple latency architecture. Various methods are also studied for architecting the system, including shifting the network to perform as different encoders; as well as generating both encoders’ outputs in one encoding pass.

关键词： Computational modeling Oral communication computer architecture Signal processing Real-time systems Encoding Delays

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Modular Extremely Large-Scale Array Communication:Near-Field Modelling and Performance Analysis

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China communications 2023年第4期20卷 132-152页

作者： Xinrui Li Haiquan Lu Yong Zeng Shi Jin Rui Zhang National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and SecuritySoutheast UniversityNanjing 210096China Purple Mountain Laboratories Nanjing 211111China The Chinese University of Hong Kong Shenzhen Research Institute of Big DataShenzhen 518172China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore

This paper investigates the wireless communication with a novel architecture of antenna arrays,termed modular extremely large-scale array(XLarray),where array elements of an extremely large number/size are regularly mounted on a shared platform with both horizontally and vertically interlaced *** module consists of a moderate/flexible number of array elements with the inter-element distance typically in the order of the signal wavelength,while different modules are separated by the relatively large inter-module distance for convenience of practical *** accurately modelling the signal amplitudes and phases,as well as projected apertures across all modular elements,we analyse the near-field signal-to-noise ratio(SNR)performance for modular XL-array *** on the non-uniform spherical wave(NUSW)modelling,the closed-form SNR expression is derived in terms of key system parameters,such as the overall modular array size,distances of adjacent modules along all dimensions,and the user's three-dimensional(3D)*** addition,with the number of modules in different dimensions increasing infinitely,the asymptotic SNR scaling laws are ***,we show that our proposed near-field modelling and performance analysis include the results for existing array architectures/modelling as special cases,e.g.,the collocated XL-array architecture,the uniform plane wave(UPW)based far-field modelling,and the modular extremely large-scale uniform linear array(XL-ULA)of *** simulation results are presented to validate our findings.

关键词： modular extremely large-scale array practical deployment projected apertures non-uniform spherical wave near-field modelling

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Automated People Counter for Restricted Capacity Monitoring on Philippine Public Utility Bus

Automated People Counter for Restricted Capacity Monitoring ...

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IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)

作者： John Neil M Chan Maria Leonora C Guico Carlos Gabriel P De Guzman Jan Kevin A Galicia Department of Electronics Computer and Communications Engineering Ateneo de Manila University Quezon City Philippines

The ability to inform transportation businesses and regulatory bodies about the demand for transportation services and how resources may be best deployed to meet this need is strategic to resource allocation and planning of national transportation system. Case in point, the pandemic has forced the government to reevaluate the number of utility buses and its ridership and implement various restrictions and regulations within society. One of the restrictions that is often affected is the seating capacity for Public Utility Vehicles. This study provides a proof of concept to an easier and more efficient way to be able to monitor capacity in a Public Utility Bus through the use of a people counter. Photoelectric sensors will be used to monitor the number of people entering and exiting the bus with information being uploaded to ThingSpeak while also being displayed onboard using an LCD. The system is capable of bi-directional counting through the use of two pairs of sensors and will work most accurately when the sensor pairs are at a distance of at least 12 cm from each other and passengers will board and depart in intervals of one second or greater.

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Scene Plane Recognition via Depth-Infrared Intensity Fusion Using ToF Camera

Scene Plane Recognition via Depth-Infrared Intensity Fusion ...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Yang, Dongzhao An, Dong Wang, Qiang Pan, Zhongqi Yue, Yang School of Information and Communications Engineering Xi'an Jiaotong University Xi'an710049 China Institute of Modern Optics Nankai University Tianjin300350 China Technology Co. Ltd. Tianjin300450 China Department of Electrical & Computer Engineering University of Louisiana at Lafayette LafayetteLA70504 United States

A scene plane information recognition method is demonstrated based on data fusion using a single ToF camera. This approach effectively tackles general LiDAR's deficiencies in identifying planar content, achieving ... 详细信息

关键词： Data fusion

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Implementation of an IoT-Based Car Park Availability Monitoring System

Implementation of an IoT-Based Car Park Availability Monitor...

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IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)

作者： Jerome Daniel P. Navarro Radyn Matthew H. Punla Luisito L. Agustin Department of Electronics Computer and Communications Engineering Ateneo de Manila University Quezon City Philippines

To assist drivers, the researchers propose a car park occupancy monitoring system that uses a Raspberry Pi to obtain photos needed by YOLOv7 to determine the presence of vehicles in a parking area. OpenCV is used to count the number of available parking spaces from the analysis of YOLOv7. The information is uploaded to the internet in real-time for access by users of the parking area. The data is uploaded and processed in Google Sheets and is accessed by a chatbot, using FlowXO. The chatbot is then deployed in Facebook Messenger, available to the targeted end users.

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Acoustic Sensor Module for Mosquito Detection and Classification

Acoustic Sensor Module for Mosquito Detection and Classifica...

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International Conference on computer and Communication engineering, ICCCE

作者： John Sebastian Bacabac Kim Ramos Maria Leonora C. Guico Jan Kevin A. Galicia Department of Electronics Computer and Communications Engineering Ateneo de Manila University Quezon City Philippines

Although there have been multiple studies related to the tracking of mosquito wingbeat frequencies, not much has been done yet on Philippine mosquitoes. Additionally, most of the current methods for tracking mosquitoes involve actively trapping mosquitoes and evaluating them in a separate laboratory. As a response, an acoustic sensor module was developed using an Arduino microprocessor to identify and classify mosquitoes. Mosquitoes were lured and zapped. The module took sound input using an omnidirectional microphone and a parabolic dish housed in a pipe. The Arduino used digital signal processing to decrease background noise, identify probable mosquito wingbeats, and categorize different mosquito species according to the frequency of the wingbeats. Audacity was used to create recordings for reference, along with manual checking. ThingSpeak, an internet platform, received classified data and provided real-time display and analysis. Real-time classifications from the module were shown, and a histogram showed how frequently identified mosquito wingbeat frequencies were distributed. This made it possible for users to keep an eye on and track the mosquito population in the region where the module was placed. The findings showed that UV light attracts mosquitoes more potently than yeast. However, it was mentioned that combining yeast and UV light as luring techniques would be interesting for further study. The monitoring of mosquito populations is made easier by the interface with ThingSpeak, which offers real-time data display.

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A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System

A Mixed Cloud-and-Embedded-based Approach with Machine Learn...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Neil Joshua P. Limbaga Kevin Luis T. Mallari Nathan Richward O. Yeung Carlos M. Oppus Department of Electronics Computer and Communications Engineering Ateneo de Manila University Quezon City Philippines

The ability to monitor falls, especially for the elderly, deems to be a crucial task to provide quality and timely healthcare response. However, there have been minimal efforts in centralizing such activity for efficient hospital management. This paper presents the development of a full-stack fall monitoring system with edge computing and machine learning technologies. Using a 3-axis accelerometer of a smartphone, motion data is collected and directly sent to an edge computing platform wherein a shallow neural network is directly trained to classify the motion data into positional states: stable, falling sidewards, falling flat, and standing up. A confusion matrix is presented to evaluate the performance of the neural network model, both in training and in real time. A cloud-based approach using ReactJS for front-end integration and Firebase's Cloud Firestore with NodeJS embedded capabilities for real-time data storage and embedded classification is implemented.

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Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse

Development of Android-Based Pulmonary Monitoring System for...

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IEEE Eurasia Conference on Biomedical engineering, Healthcare and Sustainability (ECBIOS)

作者： Kaye Antoinette V. Avila Beatrice Corine R. Cabrera Rosula S. J. Reyes Carlos M. Oppus Department of Electronics Computer and Communications Engineering Ateneo de Manila University Quezon City Philippines

Chronic pulmonary diseases remain a prevalent threat globally. With the emergence of COVID-19 and its transmission, there has been a rapid increase in the number of deaths due to respiratory illnesses. In this study, lung sound classifications were performed using a Thinklabs One digital stethoscope and through the utilization of Long Short-Term Memory (LSTM) in the classification of a person's lung auscultation record into either the normal, crackle, wheeze, or stridor categories with a 92.50% accuracy. Performance evaluation of this system was also done to cross-check for the validity of the algorithm modeled through Edge Impulse, which provided a 92.77% accuracy. The integration of the system adopted an Android-based mobile application as the pulmonary monitoring platform that records a person's general respiratory health data. The inputs from the mobile application were anonymously stored in a centralized database system correspondingly for post-processing and analysis.

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Establishing Baselines for Forecasting of Climatic Data Elements: A case study in Southern Philippines 14

Establishing Baselines for Forecasting of Climatic Data Elem...

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14th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2022

作者： Galleto, Fredelino A. Cabatuan, Melvin K. Africa, Aaron Don M. Gokongwei College of Engineering Department of Electronics and Computer Engineering De la Salle University Manila1004 Philippines College of Engineering and Information Technology Department of Electronics and Communications Engineering University of Southern Mindanao Cotabato Kabacan9410 Philippines

ISBN: (纸本)9781665464932

Machine learning offers a valuable resolve in dealing with generic and urgent problems in the community with the aid of mathematical concepts. Among the pressing dilemma it addresses is climate change, which has an immense influence on the daily undertakings of every human being. Time series forecasting has gained impetus as a growing trend in machine learning. With the primary goal of developing a practical forecasting model applicable to the local setting, the 31-year rainfall, maximum temperature, minimum temperature, relative humidity, wind speed and wind direction from ten synoptic weather stations in the Philippines were processed. Climatic factors were taken from weather stations to establish an optimal forecasting model suited for the locality conditions. The present study utilized Naïve drift, Exponential Smoothing, Prophet-covariance, Prophet-Vanilla, FFT, Theta, Random Forest, LSTM, GRU and RNN-Vanilla forecasting models to identify an ideal model for various climatic parameters using the MAE, MASE, R2, RMSE, RMSLE and time metrics. Utilizing the Jupyter application and Darts library, the Prophet-Vanilla model emerged as the optimal tool for forecasting rainfall. Forecasting the climatic parameters is deemed indispensable in the decision-making and management of climate-related risks, especially in the Philippines, considering its susceptibility to highly variable climatic conditions. © 2022 IEEE.

关键词： Fast Fourier transforms

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Minimum Separator Reconfiguration 18

Minimum Separator Reconfiguration

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18th International Symposium on Parameterized and Exact Computation, IPEC 2023

作者： Gomes, Guilherme C. M. Legrand-Duchesne, Clément Mahmoud, Reem Mouawad, Amer E. Okamoto, Yoshio Dos Santos, Vinicius F. Van Der Zanden, Tom C. Department of Computer Science Federal University of Minas Gerais Belo Horizonte Brazil LaBRI CNRS Université de Bordeaux France Virginia Commonwealth University RichmondVA United States Department of Computer Science American University of Beirut Beirut Lebanon Graduate School of Informatics and Engineering The University of Electro-Communications Chofu Japan Department of Data Analytics and Digitalisation Maastricht University Netherlands

ISBN: (纸本)9783959773058

We study the problem of reconfiguring one minimum s-t-separator A into another minimum s-tseparator B in some n-vertex graph G containing two non-adjacent vertices s and t. We consider several variants of the problem as we focus on both the token sliding and token jumping models. Our first contribution is a polynomial-time algorithm that computes (if one exists) a minimum-length sequence of slides transforming A into B. We additionally establish that the existence of a sequence of jumps (which need not be of minimum length) can be decided in polynomial time (by an algorithm that also outputs a witnessing sequence when one exists). In contrast, and somewhat surprisingly, we show that deciding if a sequence of at most jumps can transform A into B is an NP-complete problem. To complement this negative result, we investigate the parameterized complexity of what we believe to be the two most natural parameterized counterparts of the latter problem;in particular, we study the problem of computing a minimum-length sequence of jumps when parameterized by the size k of the minimum s-t-separators and when parameterized by the number of jumps. For the first parameterization, we show that the problem is fixed-parameter tractable, but does not admit a polynomial kernel unless NP ⊆ coNP/poly. We complete the picture by designing a kernel with O(2) vertices and edges for the length of the sequence as a parameter. © 2023 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.

关键词： Separators

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