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1st International conference on Computational Technologies and Electronics, ICCTE 2023

ISBN: (纸本)9783031819346

The proceedings contain 27 papers. The special focus in this conference is on Computational Technologies and Electronics. The topics include: Wildlife Detection Using ANN and Other Modern Technology: A Survey of Literatures;enhancing Learning Outcomes Through the Use of Conducive Learning Spaces;smart Diagnosis Using Symptoms for Seeking a Specialist Doctor;a Comprehensive Review and Future Prospects of Lie Detection Using Machine Learning;searching Optimizers for Deep Learning Based Hyperspectral image Classification;efficient Crop Recommendation System: A Machine Learning Based Approach;Human Fall Detection Using Transfer Learning-Based 3D CNN;anomaly Detection in Respiratory Events Using Machine Learning;federated Learning to Speed Up Pre-processing of Large Data Sets;flood Susceptibility Zonation Using Geospatial Frequency Ratio and Artificial Neural Network Techniques within Himalayan Terai Region: A Comparative Exploration;a Fertilizer Recommendation System Using an Assembly of Regressors Coupled with Nature-Inspired Optimization Algorithms;state-of-the-Art in Feature Selection: Applications of the Slime Mould Algorithm;MOODBYTBLB: Impact of Covid-19 Among Indians: A Sentiment Analysis Using Textblob;mythBuster: A Comparative Analysis of Few Machine Learning and Deep Learning Models for Fake News Detection;unsupervised Approach for Word Sense Disambiguation in Bengali;a Hybrid Method for Bengali Word Segmentation from Handwritten Copies of School Students;securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying;exploring Intonation Patterns in Nepali Speech: A Phonetic and Linguistic Analysis for Text-to-Speech System;sentiment Analysis on Airline Customer Review Using Language Model and Capsule Network;implementation of Digital Healthcare for Improving Maternal Care: A Systematic Review;video Content Analysis and Classification Based on Human Activity Recognition;Machine Learning Based Expert System for Breast Cancer Prediction (MLESBCP).

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12th CCF conference on BigData, BigData 2024

12th CCF Conference on BigData, BigData 2024

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12th CCF conference on BigData, BigData 2024

ISBN: (纸本)9789819610235

The proceedings contain 26 papers. The special focus in this conference is on BigData. The topics include: A Multi-dimensional Early Warning Mechanism for Biological Invasions: A Case Study of Vespa Mandarinia;DLP-FR: Learning Predictable Degradation for Robust Blind Face Restoration;A Joint Relation Extraction Model Utilizing Message Passing Mechanism for Feature Fusion to Alleviate FN Problem from Distant Supervision;urban Traffic Management: A Predictive Approach Using Mobile Phone Data;FedPSED: Federated Public Safety Emergency Detection Based on Adaptive Aggregation Strategy;evaluation of Retrieval-Augmented Generation: A Survey;CMNet: Fast Time Series Forecasting Based on Hybrid Convolution-MLP Architecture;a Domain Adaptive Based Reinforcement Learning Algorithm for Job Shop Scheduling Problems;Large-Scale Data Generation Using SWLBM on the Sunway TaihuLight Supercomputer and Subsequent Data Mining with Physics-Informed Neural Networks;Enhancing Interaction Graph of Data Schema and Syntactic Structure with Pre-trained Language Model for Text-to-SQL;spatial Evolution Analysis of the Level of Digital Economy Development in China;predicting Calibrated Conversion Rate of Online Advertising Using a Multi-task Mixture-of-Experts Calibration Model;a Transformer-Based Spatio-Temporal Graph Neural Network for Anomaly Detection on Dynamic Graphs;morphological Semantic Ensemble Filtering of Massive Sentence Pairs for Neural Machine Translation;improving Event-Level Financial Sentiment Analysis with Retrieval-Augmented Multipath Chain-of-Thought Prompting;POSRho: Efficient Spearman’s Rho Calculation for Big Data;a Fusion Tuning Method for Named Entity Recognition;Design of AXI Bus-Based IP Core for image processing;automated Clinical Summary Generation via Integrating Structured and Unstructured Data;a Review on Deep Learning for Sequential Recommender Systems: Key Technologies and Directions;TrajUT: Intruder Trajectory Recovery on Utility Tunnel via video Surveillance S

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1st International conference on Computational Technologies and Electronics, ICCTE 2023

1st International Conference on Computational Technologies a...

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1st International conference on Computational Technologies and Electronics, ICCTE 2023

ISBN: (纸本)9783031819803

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Comparison of On-Board and Off-Board processing Power Consumption for Drone Camera images

Comparison of On-Board and Off-Board Processing Power Cons...

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16th International conference on ICT Innovations, ICT Innovations 2024

作者： Mitrev, Atanasko Boris Stojkoska, Biljana Risteska Faculty of Computer Science and Engineering Ss. Cyril and Methodius University in Skopje Skopje Macedonia

ISBN: (纸本)9783031861611

Unmanned aerial vehicles (UAVs) equipped with cameras, capture images and videos from high altitude, usually for surveillance purpose. This paper investigates the power consumption of a drone processing unit under two different operational scenarios: (i) On-Board (local image processing using an onboard Raspberry Pi) and (ii) Off-Board (streaming video over Wi-Fi for remote processing). Therefore, we deployed the well-known YOLO (You Only Look Once) image detection algorithm on the Raspberry Pi and investigated the power consumption for the both scenarios. Contrary to the expectations, our findings prove that energy consumption is very similar in both scenarios. The results of this study are valuable for designers of energy-efficient UAV systems, particularly for applications where prolonged flight duration and real-time data processing are critical. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Drones

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Topics in circuits for communications series

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IEEE communications MAGAZINE 2005年第12期43卷 77-78页

作者： Chien, C Goodman, J Molloy, S Univ Calif Los Angeles Los Angeles CA 90024 USA Bell Commun Res Inc Morristown NJ 07960 USA

This article presents information about the papers published in the 'Topics in Circuits for communications Series' section of the December 2005 issue of the 'IEEE communications Magazine.' This section include three articles which focuses on the implementation of future convergent portable devices. These devices integrate several functions such as wireless LAN, personal video recording, gaming, and digital TV. Such mobile devices would require wireless chips which support cellular communications, image and graphics processing, and short-range connectivity to peripheral devices and sensors. The first article 'Streaming Processors for Next-Generation Mobile Imaging Applications' focuses on the circuit and architecture technology to provide the balance between low-power consumption and high signal processing performance. The next article 'Low-Power 3D Graphics Processors for Mobile Terminals' presents information about the design constraints in delivering rich graphical processing capabilities in a mobile environment. Another article 'A CMOS 868/915 MHz Direct Conversion ZigBee Single-Chip Radio' focuses on the design of a ZigBee radio.

关键词： MOBILE communication systems WIRELESS communication systems DIGITAL communications image processing GRAPHIC methods

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Experimental Study on Assistive System Using Statistical Signal processing Technology for Visually Impaired People

Experimental Study on Assistive System Using Statistical Sig...

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10th International conference on Health Informatics and Medical Systems, HIMS 2024 and 10th International conference on Biomedical Engineering, BIOENG 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024

作者： Shimizu, Shunji Hori, Masaya Inoue, Hiroaki Miwakeichi, Fumikazu Hirai, Nobuhide Kikuchi, Senichiro Kato, Satoshi Department of Applied Information Engineering Suwa University of Science Chino Japan Department of Engineering and Management Suwa University of Science Chino Japan Shimizu Research Laboratory Suwa University of Science Chino Japan Department of Interdisciplinary Statistical Mathematics The Institute of Statistical Mathematics Tachikawa Japan Health Administration Center Tokyo Medical and Dental University Bunkyo Japan Department of Rehabilitation Sciences Gunma University Maebashi Japan Oyama Fujimidai Hospital Shimotsuke Japan

ISBN: (纸本)9783031859076

In this study, we will investigate a new image signal processing method in order to develop a highly useful walking support device for visually impaired people. Visually impaired people walk independently using assistive devices. Currently, there are many support devices that use object detection and object recognition using deep learning, but there are still no highly useful devices. The smallest unit constituting an image signal is a pixel. Adjacent pixels are correlated with each other. The positional relationship of pixels expresses the features of objects, and scenery in the image. Autoregressive (AR) model is a regression analysis method used to analyze time-series signals. AR models are one of the basic methods for signal processing for speech recognition and control. Furthermore, in image signal processing, it can be used as a signal processing method when data has some kind of order, such as texture feature extraction, contour processing, and video processing. In this experiment, we converted the pixel array of the image signal into a one-dimensional time-series signal and process the signal. We tried to identify objects or regions within images. The method proposed in this study may be used to extract "Point of Interest" (POI) and "Point of Reference" (POR), which are important information for visually impaired people. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： image texture

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Architectural implications for high-quality video format conversion

Architectural implications for high-quality video format con...

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conference on image and video communications and processing 2005

作者： Bellers, EB Janssen, JGWM Philips Semicond San Jose CA USA

ISBN: (纸本)0819456586

video format conversion is required if the received video format mismatches the display format (spatially and/or temporally). In addition, a high-quality video format converter can successfully be used to eliminate movie udder (2:2 and 3:2 pull down) by applying motion-compensated temporal up-conversion techniques which provides a smooth motion portrayal. In this paper we present our architecture, the associated algorithms which provide high-quality video format conversion, and there mutual implications.

关键词： video Motion estimation Digital signal processing video processing Detection and tracking algorithms Consumer electronics Motion analysis Silicon image processing Motion detection

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An efficient JPE62000 tier-1 coder hardware implementation for real-time video processing

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2003年第4期49卷 780-786页

作者： Schumacher, PR Xilinx Inc Xilinx Res Labs Longmont CO 80503 USA

The recently approved digital still image standard known as JPEG2000 promises to be an excellent image and video format for use with a large range of applications. For adoption of the standard to take place in the consumer marketplace, implementations supporting real-time encoding and decoding of popular image and video formats must be created. It is a well-known fact that the major bottleneck of a JPEG2000 system is the bit/context modeling and arithmetic coding tasks (also known as tier-1 coding). This paper discusses a hardware implementation of a tier-1 coder that exploits available parallelisms. The proposed technique described in this paper is approximately 50% faster than the best technique described in the literature(1).

关键词： field programmable gate arrays image processing JPEG2000 video signal processing

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Technologies for multimedia and video surveillance convergence

Technologies for multimedia and video surveillance convergen...

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conference on image and video communications and processing 2005

作者： Nicholson, D Meessen, J Thales Commun Colombes France

ISBN: (纸本)0819456586

In this paper, we present an integrated system for video surveillance developed within the European IST WCAM project, using only standard multimedia and networking tools. The advantages of such a system, while allowing cost reduction and interoperability, is to benefit from the fast technological evolution of the video encoding and distribution tools.

关键词： video video surveillance Multimedia video coding Standards development video compression Network security Cameras Surveillance Scalable video coding

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Joint source-channel coding and power adaptation for energy efficient wireless video communications

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SIGNAL processing-image COMMUNICATION 2005年第4期20卷 371-387页

作者： Zhai, F Eisenberg, Y Pappas, TN Berry, R Katsaggelos, AK Texas Instruments Inc Digital Video Dept HPA Dallas TX 75243 USA Northwestern Univ Dept Elect & Comp Engn Evanston IL 60208 USA

We consider efficiently transmitting video over a hybrid wireless/wire-line network by optimally allocating resources across multiple protocol layers. Specifically, we present a framework of joint source-channel coding and power adaptation, where error resilient source coding, channel coding, and transmission power adaptation are jointly designed to optimize video quality given constraints on the total transmission energy and delay for each video frame. In particular, we consider the combination of two types of channel coding-inter-packet coding (at the transport layer) to provide protection against packet dropping in the wire-line network and intra-packet coding (at the link layer) to provide protection against bit errors in the wireless link. In both cases, we allow the coding rate to be adaptive to provide unequal error protection at both the packet and frame level. In addition to both types of channel coding, we also compensate for channel errors by adapting the transmission power used to send each packet. An efficient algorithm based on Lagrangian relaxation and the method of alternating variables is proposed to solve the resulting optimization problem. Simulation results are shown to illustrate the advantages of joint optimization across multiple layers. (c) 2005 Elsevier B.V. All rights reserved.

关键词： multimedia streaming error resilience error concealment cross layer unequal error protection (UEP) QoS product FEC

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