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检索条件"任意字段=2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023"

共 1096 条记录，以下是41-50 订阅

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Leveraging Web Application to Enhance Transport Mobility: Optimize Bus Schedules and Ride-Share in Fiji's Central Division

Leveraging Web Application to Enhance Transport Mobility: Op...

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Kumar, Raymond Krishnil Sharma, Neeraj Anand The University of Fiji Department of Computer Science and Mathematics Saweni Campus Fiji

ISBN: (纸本)9798350341072

Transportation is a way to travel from point A to B however the increasing demand for public and private transportation has caused issues such as traffic congestion amongst others. The research discusses the development of a web application to enhance transport mobility in Fiji's Central Division. It highlights the challenges faced by the public transportation system in Fiji, including inadequate bus schedules and ride-sharing options, which lead to traffic congestion and increased greenhouse emissions. The research emphasizes the importance of having a sustainable and efficient transport system to address traffic congestion and environmental impact. The web application will allow users to access real-time bus schedules and book ride-sharing services providing them with cost-effective and convenient travel choices. The research uses a qualitative approach to understand customers' experience. The research proposes a web application that will use the latest development methodologies to show real-time schedules of buses and ridesharing to benefit the users and the environment. © 2023 ieee.

关键词： Buses

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Evaluating Transparency: A Cross-Model Exploration of Explainable AI in Financial Forecasting

Evaluating Transparency: A Cross-Model Exploration of Explai...

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Valensky, Dylan Mohaghegh, Mahsa Auckland University of Technology Computer Science and Software Engineering Auckland New Zealand

ISBN: (纸本)9798350341072

Advances in machine learning and deep learning have assisted progress in stock market predictions, which have presented unique opportunities for investors and traders to benefit from predictions. However, understanding how these models work is crucial to trusting their predictions. This research applies three prominent Explainable AI (XAI) techniques - SHAP, LIME, and Permutation Importance - to three distinct forecasting models: Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Decision Tree. This work fills a gap in the literature by comparing XAI methods across a combination of 'black-box' and 'white-box' models. Two key research questions guide this research: the performance of these XAI methods across the chosen models and the consistency between global and local explanations across these models. Findings reveal interesting model-specific behaviors, like CNN's emphasis on slightly older data and LSTM's focus on immediate past data. In the S&P 500 dataset context, features such as 'Close' and 'Adj Close' prices emerged as significant across models, while 'Volume' remained insignificant. This study offers a broader perspective on applying XAI in financial time series forecasting and helps enhance trust and comprehension among stakeholders relying on these model predictions. © 2023 ieee.

关键词： Forecasting

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Supporting End User Comprehension in Intelligent Decision Support Systems Using data Visualisation Techniques

Supporting End User Comprehension in Intelligent Decision Su...

引用

8th ieee asia-pacific conference on computer science and data engineering (ieee csde)

作者： Rumsamrong, Maneerat Chiou, Andrew Mahidol Univ Sch Interdisciplinary Studies Kanchanaburi Campus Kanchanaburi Thailand Cent Queensland Univ Sch Engn & Technol Sydney Campus Sydney NSW Australia

ISBN: (纸本)9781665495523

This project explores the use of data visualisation techniques to render the outcome of an inference process using graphics, symbolic and schemas in stylised pictograms that supports understanding. The example demonstrated in this paper is a continuation of CRISIS-Expert, an intelligent decision support system that accepts multiple input of various data types and then generate an outcome which is further rendered into symbols that within reason is, understandable by the end user.

关键词： data visualization intelligent support systems gamification self explanatory

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Driver Fatigue Detection Using OpenCV and Dlib Library

Driver Fatigue Detection Using OpenCV and Dlib Library

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Shen, Kuang Ramli, Rusyaizila Chuah, Joong Huang Chai, Grace Mei Ting School of Electronics and Computer Science University of Southampton Southampton United Kingdom University of Southampton Malaysia Carbon Neutrality Research Group Johor Iskandar Puteri79100 Malaysia University of Malaya Faculty of Engineering Department of Electrical Engineering Kuala Lumpur50603 Malaysia University of Southampton Malaysia Smart Manufacturing System Reasearch Group Johor Iskandar Puteri79100 Malaysia

ISBN: (纸本)9798350341072

Driver fatigue and distraction are major contributors to fatal road accidents worldwide. To enhance vehicle safety, this article proposes a fatigue detection system using EAR and MAR algorithms to identify signs of fatigue, such as eye closure and yawning. When prolonged eye closure or yawning is detected, the system issues an alert to the driver. It leverages OpenCV and Dlib libraries for implementation. Additionally, the system detects driver distraction by monitoring head swivels, counting left and right movements. It's worth noting that Dlib may yield facial landmark deviations for non-frontal faces. To mitigate this, the study selected 69 videos from the YawDD database, focusing on near-frontal face views, achieving a 91.3% accuracy rate. © 2023 ieee.

关键词： Vehicle safety

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Accelerating Smart Contract Vulnerability Scan Using Transformers

Accelerating Smart Contract Vulnerability Scan Using Transfo...

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Balci, Emre Yilmaz, Görkem Uzunoǧlu, Anil Soyak, Ece Gelal Bahcesehir University Computer Engineering Istanbul Turkey Sakarya University Information Systems Engineering Turkey

ISBN: (纸本)9798350341072

Ethereum technology has brought upon the smart contract concept, enabling multiple independent parties to engage in transactions without the need for an external trusted authority. While this distributed network operates correctly and autonomously, smart contracts may expose security vulnerabilities, which may be exploited by malicious actors to illegitimately transfer funds. Furthermore, once a smart contract is created, it cannot be changed due to the immutability of the blockchain structure. Hence, it is critical to detect smart contract vulnerabilities before they are deployed. In this work, we propose VASCOT, a Vulnerability Analyzer for Smart COntracts using Transformers, to automatically perform sequential analysis on the EVM bytecode of smart contracts, to detect trace vulnerabilities. We construct a data set comprising Ethereum smart contracts verified in 2022;our evaluation of VASCOT on this data set demonstrates improvement in accuracy and significant reduction in time cost compared to the previously proposed sequential vulnerability scanners. To the best of our knowledge, this work constitutes the first use of transformers for smart contract security. © 2023 ieee.

关键词： Smart contract

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Automated Chemical Mixing Plant

Automated Chemical Mixing Plant

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Nadarajah, Srikanthan Muralitharan, Rasendram Jayasinghe, Upul Ragel, Rohan G Sasitharagurukkal, Muthusamyiyer Inuvaisubramaniam, Nilani Rockwell Collins United States Faculty of Engineering University of Peradeniya Department of Computer Engineering Sri Lanka Office of the Deputy Chief Secretary Engineering Service Northern Province Sri Lanka

ISBN: (纸本)9798350341072

The chemical mixing plant could be automated using supervisory control and data acquisition (SCADA) technique. The SCADA system contains a central control unit, a remote terminal unit, and a communication medium. The chemical mixing plant operator may use the central control unit to automate the operations of the chemical mixing plant. The field devices of the chemical mixing plant are connected with the remote terminal unit. Ethernet, Profinet, or WAN network could be used to establish the communication medium between the central control unit and the remote terminal unit. The central control unit acts as the server and the remote terminal unit act as the client. The simple server-client communication system is used to exchange the messages between the central control unit and remote terminal unit. The communication medium uses Genesys protocol to exchange the messages between the central control unit and the remote terminal unit. © 2023 ieee.

关键词： SCADA systems

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PAAI: Password Authentication Using AI

PAAI: Password Authentication Using AI

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Huang, David Pal, Doyel Engineering and Computer Science LaGuardia Community College Cuny Department of Mathematics United States

ISBN: (纸本)9798350341072

Online services have become an integral part of our daily life. With the increasing reliance on online services, the significance of securing the authentication of such services is growing. Most of the authentication nowadays typically uses the traditional textual passwords and provides a second layer of authentication such as SMS-based or app-based. However, it usually suffers from several limitations such as low memora-bility, network availability, susceptibility to brute-force attacks, dictionary attacks, and password reuse. In contrast, graphical passwords offer an alternative form of authentication that is both intuitive and easy to remember. Instead of relying on characters, graphical passwords use images or symbols to authenticate users. In this project, we propose a novel graphical password authen-tication mechanism using text-to-image and artificial intelligence (AI). Our proposed technique, Password Authentication using AI (PAAI), generates images from textual passwords, which makes them easy to memorize and unique while retaining the basis of graphical password authentication. The graphical password mechanism using AI has great potential to revolutionize graphical password authentication, while offering a novel way to improve security and usability in a single system. © 2023 ieee.

关键词： Artificial intelligence

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Is Cybersecurity Winning: A CrossSectional Study in Fiji

Is Cybersecurity Winning: A CrossSectional Study in Fiji

引用

2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Reddy, Pritika Goundar, Munil Shiva Khan, Shaireen Shabnam Sharma, Bibhya Fiji National University Department of Computing Science and Information Systems Suva Fiji Health Information and Intelligence Unit Aspen Medical Lautoka Fiji School of Information Technology Engineering Mathematics and Physics The University of the South Pacific Suva Fiji

ISBN: (纸本)9798350341072

The advent of the Internet, as well as the increasing use of various web applications, social media platforms, and the Internet of Things, are posing online threats to people. Moreover, with the growing dependence on Industry 4.0 operations, cybersecurity awareness and practices have become more important to organizations and countries than ever before. The current study intends to evaluate cybersecurity practices and awareness at a local education service provider in Fiji. A quantitative methodology comprising an online survey was administered to collect responses from its students who are employees from 22 different organizations in Fiji. The results of the study showed that the employees in Fiji have an average awareness of cyber hygiene. The highly positive correlation value between employee response to cybersecurity practices and awareness indicates that some organizations follow good cyber hygiene. The results from this study indicate that organizations in Fiji need to be more vigilant to defend themselves from the raising cyber threats and vulnerabilities. © 2023 ieee.

关键词： Cybersecurity

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A New Integrated Fuzzy Optimization Approach for Sustainable Supply Chain Planning Subjected to Sustainability and Uncertain Environments

A New Integrated Fuzzy Optimization Approach for Sustainable...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Sutthibutr, Noppasorn Hiraishi, Kunihiko Chiadamrong, Navee Thajchayapong, Suttipong Thammasat University Pathum Thani Thailand Ishikawa Japan National Electronics and Computer Technology Center Data Science and Analytics Research Pathum Thani Thailand

ISBN: (纸本)9798350341072

This study proposes an integrated fuzzy optimization approach for sustainable supply chain planning subjected to sustainability and uncertain environments. The proposed approach combines the concept of Chance-Constrained Programming (CCP) with Intuitionistic Fuzzy Linear Programming (IFLP) that decision makers can control risk violation of fuzzy constraints as well as consider satisfaction and non-satisfaction levels simultaneously. The effectiveness of the proposed approach is demonstrated through a case study by minimizing total costs and maximizing supplier's social and environmental scores where costs and customer demands are imprecise. Our comparative result clearly shows that the obtained solution outperforms the result from the traditional integrated fuzzy optimization approach. The advantages of the proposed approach can assist decision-makers to prepare and take necessary actions for future uncertainty, leading to sustainability. © 2023 ieee.

关键词： Supply chains

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Harnessing computer Vision to Identify Pests and Predators: A Comparative Model Analysis

Harnessing Computer Vision to Identify Pests and Predators: ...

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2023 ieee asia-pacific conference on computer science and data engineering, csde 2023

作者： Mohaghegh, Mahsa Jaber, Lara Stratford, James Maxwell, William Tamatea, Connor Crawford, Lachlan School of Engineering Computer and Mathematical Sciences Auckland University of Technology Auckland New Zealand

ISBN: (纸本)9798350341072

This study focuses on developing an intelligent system using machine learning algorithms and motion-sensor camera traps to achieve real-time classification of pest predators in the setting of the bushlands of New Zealand. The primary goal is to provide an optimized tool for ecological monitoring, aiding in the preservation of native Kiwi bird habitats and aligning with the eco-city initiatives. By training and comparing various deep learning models, including Convolutional Neural Networks (CNNs), Multi-Layer Perceptron (MLP), and Vision Transformers (ViT), the system aims to assist in accurately identifying and managing pest populations. We found that our best-performing model on our data was ResNet-50 with an overall accuracy of 98.15% and an average f1-score of 0.982 across the five classes. This was closely followed by DenseNet121 with an overall accuracy of 97.95% and an average F1 score of 0.978 and our CNN with a Vision Transformer model with an overall accuracy of 97.58% and an average F1 score of 0.976. © 2023 ieee.

关键词： Convolutional neural networks

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