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100th IEEE Vehicular technology Conference, VTC 2024-Fall

作者： Raina, Rashika Simmons, Nidhi Simmons, David E. Yacoub, Michel Daoud Queen's University Centre for Wireless Innovation School of Electronics Electrical Engineering and Computer Science BelfastBT3 9DT United Kingdom Dhali Holdings Ltd. BelfastBT5 7HW United Kingdom University of Campinas Wireless Technology Laboratory School of Electrical and Computer Engineering Campinas13083-970 Brazil

ISBN: (纸本)9798331517786

In this paper, we explore the calibration of a machine learning (ML)-based outage predictor aimed at optimizing resource allocation to minimize outages in communication systems. We model the wireless channel using an auto-correlated time series with samples distributed in accordance with a Rayleigh fading process. Our novel contribution concerns proposing histogram-based reliability plots that employ logarithmic binning to assess its impact on the model calibration compared to the traditional linear binning technique. We train our ML model using an outage loss function (OLF) tailored to this system and the well-known binary cross entropy (BCE). Additionally, we analyze the effect of different model parameters on the calibration performance of this outage predictor. Our findings demonstrate that logarithmic binning reveals nuanced calibration traits ignored by linear binning, particularly at lower confidence levels. This finding is crucial for wireless systems for which understanding behavior at very low probabilities is essential. Additionally, we observe that our ML model trained with OLF becomes more overconfident as the classification threshold increases and in scenarios characterized with rare events, namely outages. This observation serves as a tool for improving the calibration properties of OLF. © 2024 IEEE.

关键词： Resource allocation

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Edge Computing on the Sky: Dynamic Code Offloading Using Realistic Satellite Onboard Processors

Edge Computing on the Sky: Dynamic Code Offloading Using Rea...

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International Conference on Information and Communication technology Convergence (ICTC)

作者： Jeonghwan Kim Eunsu Kim Jeongho Kwak Electrical Engineering and Computer Science (EECS) Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu Republic of Korea

ISBN: (数字)9798350364637

ISBN: (纸本)9798350364644

The emergence of Low Earth Orbit (LEO) satellite environments has spurred active research into edge computing techniques utilizing these satellites. However, these efforts encounter significant challenges due to the physical battery limitations of the satellites. To address these issues, this paper introduces a novel edge computing technique that takes real-time battery conditions into account.

关键词： Satellites Codes Program processors Low earth orbit satellites Spread spectrum communication Real-time systems Batteries Information and communication technology Edge computing Convergence

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Hate Speech detection in English and Malayalam Code-Mixed Text using BERT embedding

Hate Speech detection in English and Malayalam Code-Mixed Te...

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2022 International Conference on Computing, Communication, Security and Intelligent Systems, IC3SIS 2022

作者： Deepasree Varma, P. Vinod, P. Nandakumar, M. Akshay, K. Madhu, Akhil Scms School of Engineering and Technology Department of Computer Application Cochin India Cochin University of Science and Technology Department of Computer Application India Christ College of Engineering Irinjalakkuda Department of Electrical and Electronics Engineering India SCMS College of Engineering and Technology Karukkutty Department of Computer Application Ernakulam India

ISBN: (数字)9781665468831

ISBN: (纸本)9781665468831

Hate speech detection is a very popular research area for past few years. Hate speech is given various definition by various researchers. In this paper we try to analyse the use of BERT embedding in hate speech detection in low resource language like Malayalam. The crucial challenge faced by researchers in this area are that most non-English languages are represented in code-mixed form in Social media. Here we work with transformer-based models to classify tweets as hate or non-hate content. Hence this is a novel approach that uses BERT in non-English text. © 2022 IEEE.

关键词： Embeddings

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Latency Analysis of In-Vehicle Network for Advanced Driver Assistance System

Latency Analysis of In-Vehicle Network for Advanced Driver A...

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IEEE Conference on Vehicular technology (VTC)

作者： Hanyoung Park Minji Cho Yongjae Jang Ji-Woong Choi Dept. of Electrical Engineering & Computer Science Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu Korea

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

Considering the advancements in autonomous driving technologies, the necessity for an advanced driver assistance system (ADAS) to incorporate a multitude of sensors for enhanced precision has become paramount. Consequently, the increase of sensors correlates directly with the escalation of autonomous driving capabilities. However, this escalation causes a larger volume of data traffic and an increase in the latency within the in-vehicle network (IVN). As the IVN latency increases, the overall latency of ADAS from the sensor to the actuator increases. This increased latency can affect the safety of ADAS. Hence, latency analysis for various sensors is required. In this paper, we struct Ethernet-based zonal architecture considered for future automotive architecture and analyze the factor of end-to-end latency for the safety-related ADAS with multi-type sensors, including IVN latency.

关键词： Simulation computer architecture Switches Sensor systems Sensors Topology Safety Advanced driver assistance systems Autonomous vehicles Queueing analysis

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Research on calibration method of extrinsic parameters of lidar and camera carried by UAV 4

Research on calibration method of extrinsic parameters of li...

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4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022

作者： Wang, Zhixiang Shen, Han Du, Haibo Zhou, Jun Jin, Xiaozheng Hefei University of Technology College of Electrical Engineering and Automation Hefei China Southeast University College of Cyber Science and Engineering Southeast University Nanjing China Hefei University of Technology City College of Electrical Engineering and Automation China Qilu University of Technology College of Computer Science and Technology Jinan China

ISBN: (数字)9781665459822

ISBN: (纸本)9781665459822

The colorful image of the camera and the point cloud of the lidar can provide rich information about the surrounding *** the widespread application of UAV in various industries, loading lidars and cameras on UAV can effectively help UAV realize functions such as identification, mapping, and navigation in unfamiliar environments. Aiming at the current research hotspot, this paper combines hand-eye calibration with edge calibration. The former provides the calibration initial value for the latter, and the latter optimizes the results of the former. Finally, a high-precision automatic calibration system without artificial initial value is realized. In addition, this paper proposes a Gauss-Helmert model with scale estimation and outlier removal to solve hand-eye calibration. Experiments show that the method has higher accuracy and better robustness. © 2022 IEEE.

关键词： Calibration

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Multi-class multi-object detection and tracking system in 3 dimensions using YOLOv5 3

Multi-class multi-object detection and tracking system in 3 ...

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3rd International Conference on Range technology, ICORT 2023

作者： Bhateja, Aditi Sharma, Sanyam Krishna, Abhishek Chaudhary, Himanshu Lall, Brejesh Kalra, Prem K Computer Science Indian Institute of Technology Delhi India Delhi Technological University Software Engineering Delhi India Delhi Technological University Information Technology Delhi India Securities and Exchange Board of India India Electrical Engineering Indian Institute of Technology Delhi India

ISBN: (纸本)9781665493314

It is of great significance to detect and track multiple objects belonging to multiple classes in 3 dimensions and the same can be applied to various research domains. One such application pertains to multi-fish detection and tracking The problem is of significance to marine researchers who want to study the behaviour of fish in a constrained environment i.e. in an aquarium, using different sensors. For this study, a data set consisting of different fishes in an aquarium was constructed and Microsoft Kinect was used to capture the movements in 3 dimensions. The data set was cleaned, aligned, and calibration was done to make it suitable for object detection and tracking In this paper, YOLOv5s model was improvised, hereafter referred as YOLOv5-With Attention Mechanism (YOLOv5-WAM), and an object detection and tracking pipeline was designed to detect and track underwater objects (fishes in our work) belonging to multiple classes in 3D. YOLOv5-WAM can be adapted for use on devices having low compute availability, making it suitable for real time object detection and tracking using low cost experimental setup. YOLOv5-WAM showed about 1% improvement in mAP for our custom dataset while for Fish4Knowkdge and COCO dataset, the improvements were to the tune of 7% when compared to YOLOv5s. The results and analysis of the approach are presented in this paper. © 2023 IEEE.

关键词： Fish

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Design and Implementation of Blockchain-Based Smart Contracts for Enhancing Ancillary Services Management in Electricity Markets 10

Design and Implementation of Blockchain-Based Smart Contract...

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10th IEEE International Conference on Power and Energy, PECon 2024

作者： bt Junaidi, Nazreen Abdullah, Md Pauzi Shaaban, Mohamed Hashim, Nurul Izzati bt Abdullah, Johari B. Fazari, Atiq Firdaus bin Department of Electrical and Electronics Engineering University of Malaysia Sarawak Sarawak Kota Samarahan94300 Malaysia Faculty of Electrical Engineering University Teknologi Malaysia Johor Bharu Johor81310 UTM Malaysia Department of Electrical Engineering National Chung Cheng University Minxiong Chiayi621301 Taiwan Faculty of Computer Science and Information Technology University of Malaysia Sarawak Kota Sarawak Samarahan94300 Malaysia

ISBN: (纸本)9798350361971

This paper presents a possible solution to the challenges of managing ancillary services on power systems, focusing on the development and execution of robust smart contracts on the Ethereum blockchain. These contracts automate essential procedures like bid submission, Market Clearing Price (MCP) calculation, and settlement, reducing manual involvement and improving operational efficiency. They ensure transparency and accountability through security mechanisms like role-based access restriction and event monitoring. The contracts were created using Solidity programming language and implemented on the Ethereum Sepolia test network. Unit tests using Foundry confirmed the functionality of each contract component, indicating their accuracy and effectiveness. The study highlights the novel features of the smart contract architecture and its potential impact on ancillary service administration. ©2024 IEEE.

关键词： Smart contract

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On the periodic motions of a one-degree-of-freedom oscillator

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SeMA Journal 2024年第3期81卷 479-494页

作者： Kooij, Robert Zegeling, André Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Unit ICT Strategy and Policy TNO (Netherlands Organisation for Applied Scientific Research) The Hague Netherlands College of Mathematics and Statistics Guangxi Normal University Guilin China

We present a mechanical model for an oscillator with one degree of freedom under the influence of a flowing medium. Under fairly general conditions we show that the ensuing differential equation has at most two limit cycles and we give examples where exactly two limit cycles will occur. The implications of this result are that it is possible for a system of this kind to exhibit galloping even when the so-called Den Hartog criterion of local instability is not satisfied. © 2023, The Author(s).

关键词： 34C15 34C25 34C29 73K70 Galloping Limit cycles Liénard system Wind-induced vibrations

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Decoding Tomorrow’s Gold Prices: A Comparative Study of GRU and CNN-LSTM in the Iranian Market

Decoding Tomorrow’s Gold Prices: A Comparative Study of GRU...

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International Conference on Web Research (ICWR)

作者： Amir Hossein Baradaran Masoumeh Bohlouli Mohammad Reza Jahed Motlagh School of Electrical Engineering Iran University of Science and Technology Tehran Iran Department of Computer Engineering Alzahra University Tehran Iran School of Computer Engineering Iran University of Science and Technology Tehran Iran

ISBN: (数字)9798350394986

ISBN: (纸本)9798350394993

With the rising prominence of gold as a lucrative investment avenue in Iran, this research delves into predicting the future price of 18-carat gold. In pursuit of this objective, a comprehensive comparison is conducted between two neural network architectures: the Gated Recurrent Unit (GRU) as a single structure and a hybrid model combining Convolutional Neural Network (CNN) and Long Short-Term Memory Neural Network (LSTM). The evaluation criteria employed focus on error metrics to gauge the accuracy of price predictions. Results reveal that the CNN-LSTM hybrid neural network exhibits superior performance, showcasing lower error values in predicting the price of 18-carat gold in Iran. Consequently, the chosen model, CNN-LSTM, is employed to forecast the following day’s gold prices, providing valuable insights for investors navigating the Iranian market. This research contributes to the ongoing discourse on gold investment strategies by highlighting the effectiveness of advanced neural network models in enhancing predictive accuracy.

关键词： Measurement Gold Navigation Neural networks Predictive models Logic gates Convolutional neural networks

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WiFi-Crowd Spy: A novel crowd-counting system

WiFi-Crowd Spy: A novel crowd-counting system

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2022 IEEE International Conference on electrical, computer, and Energy Technologies, ICECET 2022

作者： Collaguazo, Adriana Estrada, Rebeca Valeriano, Irving Tomala, Josue Escuela Superior Politécnica del Litoral ESPOL Electrical Engineering and Computer Science Department Guayaquil Ecuador Escuela Superior Politécnica del Litoral ESPOL Electrical Engineering and Computer Science Department and Information Technology Center Guayaquil Ecuador

ISBN: (数字)9781665470872

ISBN: (纸本)9781665470872

Currently, there is a requirement in many countries to keep public and work spaces safe due to COVID-19. In fact, indoor spaces must be monitored to control the allowed capacity, which can vary depending on the alert level of a city at a given time. This has motivated some researchers to investigate several technologies to implement methods and strategies to enable the reopening of these spaces in a safe manner. In this paper, we propose a crowd counting detection system that this paper, we propose a crowd counting detection system that addresses the problem of controlling the indoor capacity of offices inside buildings. The proposed solution uses an existing communication technology such as WiFi in order to determine the crowd counting for the indoor environment. In particular, the existing infrastructure consists of two Wireless LAN Controllers (WLC) and several APs deployed in a building, which allows us to estimate the number of people based on the access to Wireless Access Points (APs). Thus, the proposed system takes into account when a mobile device connects/disconnects to the AP to increase or decrease the number of people in a particular office and sends the respective alert to the system administrator when this capacity is about to be exceeded or already surpassed. © 2022 IEEE.

关键词： Controllers

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