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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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Cluster Analysis Using Explainable AI for Confused Learners

Cluster Analysis Using Explainable AI for Confused Learners

引用

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

作者： Samani, Chaitali Musial, Katarzyna School of Computer Science University of Technology Sydney Sydney Australia School of Computer Science University of Technology Sydney Complex Adaptive Systems Lab Sydney Australia

ISBN: (纸本)9798350341072

The process of learning is multifaceted and intricate, with confusion playing a pivotal role in engagement and motivation. Confusion arises from a disequilibrium that a learner may have due to some knowledge misconceptions when performing cognitive tasks. While some form of confusion can lead to better achievements in such tasks, prolonged confusion causes frustration and disengagement. So, to maintain a balance between less confused to highly confused states is highly crucial. In this study we propose explainable clustering technique for confused learners. In this study we first dig deeper into the set of confused learners and form clusters using K-Means clustering. K-Means clustering provides the clusters like a black-box technique is since the purpose of this clustering was to better understand the confused learners, we extended the clustering with tree-based approach that explains why a particular learner was placed in a particular cluster. This explainability provides an opportunity to design better intervention strategies to control confusion in learners © 2023 ieee.

关键词： K-means clustering

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Accelerating Smart Contract Vulnerability Scan Using Transformers

Accelerating Smart Contract Vulnerability Scan Using Transfo...

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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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Is Cybersecurity Winning: A CrossSectional Study in Fiji

Is Cybersecurity Winning: A CrossSectional Study in Fiji

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

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

引用

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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Can LLMs Determine Political Leaning of Polish News Articles?

Can LLMs Determine Political Leaning of Polish News Articles...

引用

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

作者： Szwoch, Joanna Staszkow, Mateusz Rzepka, Rafal Araki, Kenji Graduate School of Information Science and Technology Hokkaido University Sapporo Japan Mateusz Staszków Software Development Warsaw Poland Hokkaido University Faculty of Information Science and Technology Sapporo Japan

ISBN: (纸本)9798350341072

This study explores how Large Language Models (LLMs) can be used to analyze the political and establishment leanings of opening paragraphs in Polish online news articles that discuss controversial topics. This task, often time-consuming and costly when performed by humans, holds promise for enhancing media fairness and balance cost-effectively. It is one of the first attempts to analyze this problem in an under-resourced language like Polish. Findings reveal the challenge of task difficulty for LLMs and human annotators. Accuracy of LLMs varies, with better performance on questions related to political leaning than establishment stance. Notably, the text-davinci-002 model achieves the highest scores in wing orientation detection, whereas gpt-3.5-turbo excels in recognizing pro-/anti-government bias. This study highlights LLMs' limitations for this demanding task in an under-resourced language like Polish, emphasizing the need for alternative detection approaches. © 2023 ieee.

关键词： Computational linguistics

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The Longest Almost Increasing Subsequence Problem with Sliding Windows

The Longest Almost Increasing Subsequence Problem with Slidi...

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

作者： Ho, Cheng-Han Yang, Chang-Biau National Sun Yat-sen University Department of Computer Science and Engineering Kaohsiung Taiwan

ISBN: (纸本)9798350341072

In this paper, we first define the longest almost increasing subsequence with sliding windows (LaISW), which is a generalized combination of the longest increasing subsequence with sliding windows (LISW) problem and the longest almost increasing subsequence (LaIS) problem. Given a numeric sequence A, along with a tolerance constant c and a window size w, the LaISW problem aims to find the longest almost increasing subsequence (LaIS) within all windows of size w, where an almost increasing subsequence allows for slight decreases less than c. Then, we propose an efficient algorithm to solve the LaISW problem. In our algorithm, we calculate the change of drop out (occurrence) of each element in the row tower, rather than building the entire row tower. The time and space complexities of our algorithm are O(nL) and O(L), respectively, where n denotes the length of the input sequence, and L denotes the length of the LaISW answer. © 2023 ieee.

关键词： Decoding

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BiProSimGCN: Prediction of Drugs-Proteins Interactions Using Graph Convolutional Neural Network and Proteins Similarity

BiProSimGCN: Prediction of Drugs-Proteins Interactions Using...

引用

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

作者： Ghahramani, S. AmirAli Gh. Hosseinioun, Morteza Nosrati, Amirhossein Kavousi, Kaveh Sharif University of Technology Department of Computer Engineering Kish Island Iran Institute of Biochemistry and Biophysics University of Tehran Department of Bioinformatics Tehran Iran

ISBN: (纸本)9798350341072

The drug discovery process faces challenges due to its length, cost, and experimental failures. Researchers are addressing these issues through 'drug repurposing,' seeking new applications for existing pharmaceuticals. To predict drug-target interactions, computational methods, like drug-target interaction prediction, utilize bipartite graphs and link prediction. In this paper, we propose BiProSimGCN, a framework based on convolutional graph neural networks, to predict drug-protein interactions. BiProSimGCN integrates data from the bipartite drug-protein network and the protein similarity network, aiming to reveal latent factors of drugs and proteins. The performance of BiProSimGCN is evaluated using a dataset with information about drugs, target proteins, and their interactions, as well as benchmark datasets with interactions involving enzymes, ion channels, GPCRs, and nuclear receptors. The results indicate that BiProSimGCN outperforms several models from the literature and achieves comparable performance with others. © 2023 ieee.

关键词： Proteins

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Neural Network Classification of Resting State fMRI data of ADHD and Healthy Subjects using Dynamic Mode Features

Neural Network Classification of Resting State fMRI Data of ...

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

作者： Harini, R. Thatchayeni, R. Lakshmipriya, K. Udayaprasanth, P. Purnima, S. Maheswari, O. Uma Anna University Electronics & Communication Engineering Chennai Guindy India

ISBN: (纸本)9798350341072

Attention deficit hyperactivity disorder (ADHD) is one across the board mental disorder distinguished by inattentiveness, hyperactivity or impulsive behavior. The exact cause is yet unknown but the prevalence of ADHD requires early diagnosis and treatment. This study investigates the decomposed subsystems of resting- state fMRI (rs-fMRI) blood oxygen level dependent (BOLD) signals in order to assess the overall characteristic of the human brain. rs-fMRI BOLD signals were first decomposed into dynamic modes (DMs) which can illuminate the patterns of brain subsystems. Each DM is associated with one Eigenvalue that characterizes functional connectivity dynamics. Thereby the features related to those DM were extracted. Using the features obtained, the classification is performed using neural network-based pattern recognition model and the performance is evaluated. The interpreted results with neural network (NN) classifier obtains an accuracy of 73.7%. © 2023 ieee.

关键词： Pattern recognition

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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...

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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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