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IEEE Symposium on Systems and Information Engineering Design, SIEDS

作者： Mosladdin M. Shueb Chuyang Yang Xiangdong Che School of Information Assurance and Applied Computing GACET Eastern Michigan University Ypsilanti MI USA School of Technology and Professional Services Management GACET Eastern Michigan University Ypsilanti MI USA

ISBN: (数字)9798350385144

ISBN: (纸本)9798350385151

The use of advanced technology in aviation information systems is continuously growing. Day-to-day airport operations integrate advanced technologies and devices to achieve optimum performance, offer different services, and improve the management of IT infrastructure. However, the integration of connected systems and optimization widens the attack surface for airport cyber-physical systems. Cybersecurity incidents are on the rise, and the cost of a security breach has a catastrophic financial effect. The existing airport information systems require more robust and resilient cybersecurity solutions to secure their hardware-software, databases, wireless communication, Internet of Things (IoT), and open-source applications. The existing cybersecurity solutions are insufficient to protect against common attacks such as phishing, eavesdropping, Denial-of-Service (DoS), Man-in-the-middle (MITM), and ransomware. The proposed blockchain-powered cybersecurity will ensure the security of IT assets while allowing smooth access to stakeholders such as travelers, vendors, airlines, and employees. The application of blockchain elements will enhance the security and resiliency of airport IT systems by eliminating single points of failure, the impact of data breaches, ransomware, and unauthorized access. In addition, the study includes a risk and sustainability assessment.

关键词： Wireless communication Airports Blockchains Ransomware Internet of Things Stakeholders Computer security

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Location Anonymous Query Algorithm based on Road Networks

Location Anonymous Query Algorithm based on Road Networks

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Augmented Intelligence and Sustainable Systems (ICAISS), International Conference on

作者： Qing Haohua Roliana Ibrahim Hui Wen Nies Department of Applied Computing and Artificial Intelligence Faculty of Computing Universiti Teknologi Malaysia Johor Malaysia Guangzhou College of Technology and Business Guangzhou Guangdong China

ISBN: (纸本)9781665489638

In this paper, we study the location anonymous query algorithm based on the Voronoi graph division of the road networks. The Voronoi diagram spatial analysis model has unique functions and application potential in the description of the location problems, the spatial partitioning of the landmarks based on the Voronoi diagram, on the one hand, it achieves the division of the spatial extent covered by the POI under the principle of shortest distance, and on the other hand, it also deals with the problem of the spatial partitioning. Hence, we propose the novel ideas of improving the division performance and also the query algorithm enhancement. Through the simulation, we select the Foshan city data as the target to evaluate the proposed model.

关键词： Analytical models Roads Urban areas Data models Partitioning algorithms

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Colours Effect Analysis on The Attention Level with A Single-Channel EEG 14

Colours Effect Analysis on The Attention Level with A Single...

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14th Seminar on Science and technology 2021, S and T 2021

作者： Yassin, F.M. Latip, M.S. Ibrahim, A.A.A. Baco, S. Alias, A. Norwawi, N.M. Noh, N.A. Faculty of Science and Natural Resources Universiti Malaysia Sabah Malaysia Faculty of Computing and Informatic Universiti Malaysia Sabah Malaysia Faculty of Applied Science and Technology Universiti Tun Hussein Onn Malaysia Universiti Sains Islam Malaysia Malaysia

Colours play an important role in many applications such as in education, communication, tourism, marketing, and architecture. From the previous research, especially related to education, colour could affect people's focus or attention level. However, with further investigation, the colour could also be used for controlling or activating electronic devices. Therefore, the purpose of this study is to find out if turquoise, green, red, and a combination of red, orange, and yellow (picture of autumn) could trigger the attention level to be equal to or above the attention threshold. The required threshold that had been decided was 40. The attention level of five (5) respondents was recorded when they were looking at the colours for 8 seconds using a single-channel EEG of the Neurosky Mindwave headset. From the study, it is found that all colours could trigger the attention level of all respondents to be above the attention threshold of 40. However, the combination of red, orange, and yellow (autumn picture) showed the best result in triggering or maintaining the attention value within 40 to 100. The colour could be a potential input in controlling electronic devices that have an attention threshold of 40. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Color

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Real Time Generation and Measurement of 60-GHz Optical Entangled States

Real Time Generation and Measurement of 60-GHz Optical Entan...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Kawasaki, Akito Brunel, Hector Ide, Ryuhoh Suzuki, Takumi Kashiwazaki, Takahiro Inoue, Asuka Umeki, Takeshi Yamashima, Taichi Sakaguchi, Atsushi Takase, Kan Endo, Mamoru Asavanant, Warit Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Laboratoire de Physique de l'Ecole Normale Supérieure 24 rue Lhomond Paris75005 France NTT Device Technology Labs NTT Corporation 3-1 Morinosato Wakamiya Kanagawa Atsugi243-0198 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan

We generate and perform real-time measurement of optical entangled states with 60-GHz bandwidth using waveguide optical parametric amplifiers a nd homodyne measurement with phase sensitive amplification, foreseeing qu... 详细信息

ISBN: (纸本)9781957171395

关键词： Parametric amplifiers

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Mining Potentially Explanatory Patterns via Partial Solutions

arXiv

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arXiv 2024年

作者： Catalano, GianCarlo A.P.I. Brownlee, Alexander E.I. Cairns, David McCall, John Ainslie, Russell University of Stirling Computing Science and Mathematics Stirling United Kingdom Robert Gordon University National Subsea Centre Aberdeen United Kingdom BT Technology Applied Research Ipswich United Kingdom

Genetic Algorithms have established their capability for solving many complex optimization problems. Even as good solutions are produced, the user’s understanding of a problem is not necessarily improved, which can lead to a lack of confidence in the results. To mitigate this issue, explainability aims to give insight to the user by presenting them with the knowledge obtained by the algorithm. In this paper we introduce Partial Solutions in order to improve the explainability of solutions to combinatorial optimization problems. Partial Solutions represent beneficial traits found by analyzing a population, and are presented to the user for explainability, but also provide an explicit model from which new solutions can be generated. We present an algorithm that assembles a collection of Partial Solutions chosen to strike a balance between high fitness, simplicity and atomicity. Experiments with standard benchmarks show that the proposed algorithm is able to find Partial Solutions which improve explainability at reasonable computational cost without affecting search performance. © 2024, CC BY.

关键词： Optimization algorithms

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Detection-Loss Tolerant Real-Time Amplitude Measurement for Ultra-Fast Optical Quantum Processors: 5-dB Squeezing from DC to 43 GHz

Detection-Loss Tolerant Real-Time Amplitude Measurement for ...

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Conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Asuka Inoue Takahiro Kashiwazaki Taichi Yamashima Naoto Takanashi Takushi Kazama Koji Enbutsu Kei Watanabe Takeshi Umeki Mamoru Endo Akira Furusawa NTT Device Technology Labs NTT Corporation Kanagawa Japan Department of Applied Physics School of Engineering The University of Tokyo Tokyo Japan RIKEN Center for Quantum Computing Optical Quantum Computing Research Team Saitama Japan

ISBN: (纸本)9798350345995

Measurement-based optical quantum computers (MBOQCs) using continuous-variables (CVs) of light are a candidate for large-scale fault-tolerant quantum computing [1]. This form of processing has a high carrier frequency of light, so it can also perform ultra-fast quantum computing. To achieve ultra-fast MBOQCs, broadband squeezed light generation and ultra-fast realtime amplitude measurement are required. So far, over-4.5-dB squeezed light generation, which is required for preparing a two-dimensional cluster state, has been demonstrated in THz bandwidth by using noise intensity measurement with a narrow bandwidth [2], [3]. However, the realtime amplitude measurement frequency is limited to several GHz. Up to now, the highest frequency is still limited to 9 GHz with 0.1-dB squeezing even though specific detectors have been designed [4]. This is because there is a tradeoff relationship between the bandwidth and the quantum efficiency of homodyne detectors. As a result, we cannot use a fast balanced homodyne detector such as a detector for high-speed optical communications with a large optical loss, which collapses the quantum states of light. To achieve ultra-fast realtime amplitude measurement, we need a new measurement method to overcome the tradeoff limitations.

关键词： Frequency measurement Optical computing Optical signal processing devices Quantum computation Quantum efficiency Squeezed states

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Securing IEC60870-5-101 Communication Protocol using SCADA Cryptographic and Device Authentication Gateway 11

Securing IEC60870-5-101 Communication Protocol using SCADA C...

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2022 11th International Conference on Information and Electronics Engineering, ICIEE 2022

作者： Qassim, Qais Saif Jamil, Norziana Mahdi, Mohammed Najah Ahmad Zawawi, Md Nabil Jamaludin, Md Zaini Jidin, Razali Rusli, Mohd Ezanee University of Technology and Applied Sciences Ibri Oman College of Computing and Informatics Universiti Tenaga Nasional Selangor Malaysia Institute of Power Engineering Universiti Tenaga Nasional Selangor Malaysia College of Engineering Universiti Tenaga Nasional Selangor Malaysia

Since the renowned Stuxnet attack on the Iranian refinery planet in 2010, there have been many attempts to harden the security of these systems. One of the most significant challenges impacting these systems' security is the outdated and insecure communication protocols that have been used for many years in various sectors. This work presents a practical solution to protect the SCADA's critical communications' confidentiality, authenticity, and integrity. This work put forward a hardware-based general-purpose cryptographic device based on FPGA technology. The device contains a handful of cryptographic algorithms that can be customized to harden the security of devices operating on the IEC 60870-5-101 communication protocol. The experimental results show that the proposed solution enhances the secrecy and integrity of the IEC 60870-5-101 messages and ensures the source's authenticity. © Published under licence by IOP Publishing Ltd.

关键词： Authentication

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A Cascaded Design of Best Features Selection for Fruit Diseases Recognition

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Computers, Materials & Continua 2022年第1期70卷 1491-1507页

作者： Faiz Ali Shah Muhammad Attique Khan Muhammad Sharif Usman Tariq Aimal Khan Seifedine Kadry Orawit Thinnukool Department of Computer Science COMSATS University IslamabadWah Campus47080Pakistan Department of Computer Science HITEC University TaxilaTaxila47040Pakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia National University of Science and Technology Islamabad IslamabadPakistan Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway Research Group of Embedded Systems and Mobile Application in Health Science College of ArtsMedia and TechnologyChiang Mai UniversityChiang Mai50200Thailand

Fruit diseases seriously affect the production of the agricultural sector,which builds financial pressure on the country’s *** manual inspection of fruit diseases is a chaotic process that is both time and cost-consuming since it involves an accurate manual inspection by an ***,it is essential that an automated computerised approach is developed to recognise fruit diseases based on leaf *** to the literature,many automated methods have been developed for the recognition of fruit diseases at the early ***,these techniques still face some challenges,such as the similar symptoms of different fruit diseases and the selection of irrelevant *** processing and deep learning techniques have been extremely successful in the last decade,but there is still room for improvement due to these ***,we propose a novel computerised approach in this work using deep learning and featuring an ant colony optimisation(ACO)based *** proposed method consists of four fundamental steps:data augmentation to solve the imbalanced dataset,fine-tuned pretrained deep learning models(NasNetMobile andMobileNet-V2),the fusion of extracted deep features using matrix length,and finally,a selection of the best features using a hybrid ACO and a Neighbourhood Component Analysis(NCA).The best-selected features were eventually passed to many classifiers for final *** experimental process involved an augmented dataset and achieved an average accuracy of 99.7%.Comparison with existing techniques showed that the proposed method was effective.

关键词： Fruits diseases data augmentation deep learning features fusion feature selection

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Data Analytics on Eco-Conditional Factors Affecting Speech Recognition Rate of Modern Interaction Systems

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Journal of Mobile Multimedia 2022年第4期18卷 1153-1176页

作者： Kaladevi, A.C. Saravanakumar, R. Veena, K. Muthukumaran, V. Thillaiarasu, N. Kumar, S. Satheesh Department of Computer Science and Engineering Sona College of Technology Salem India Department of CSE Dayananda Sagar Academy of Technology and Management Bangalore 560082 India Department of Computer Science J.K.K.Nataraja College of Arts & Science Namakkal Dt. Komarapalayam India Department of Mathematics School of Applied Sciences REVA University Karnataka Bengaluru India School of Computing and Information Technology REVA University Bengaluru India Department of Computer Science School of Applied Sciences REVA University Bengaluru India

Speech-based Interaction systems contribute to the growing class of contemporary interactive techniques (Human-Computer Interactive system), which have emerged quickly in the last few years. Versatility, multi-channel synchronization, sensitivity, and timing are all notable characteristics of speech recognition. In addition, several variables influence the precision of voice interaction recognition. However, few researchers have done a significant study on the five eco-condition variables that tend to affect speech recognition rate (SRR): ambient noise, human noise, utterance speed, and frequency. The principal strategic goal of this research is to analyze the influence of the four variables mentioned earlier on SRR, and it includes many stages of experimentation on mixed noise speech data. The sparse representation-based analyzing technique is utilized to analyze the effects. Speech recognition is not noticeably affected by a person's usual speaking pace. As a result, high-frequency voice signals are more easily recognized (∼98.12%) than low-frequency speech signals in noisy environments. By performing the experiments, the test results may help design the distributive controlling and commanding systems. © 2022 River Publishers.

关键词： ambient noise eco-conditional factors frequency human noise Interaction system recognition rate utterance speed

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Navigating Towards Fairness with Data Selection 39

Navigating Towards Fairness with Data Selection

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Zhang, Yixuan Li, Zhidong Wang, Yang Chen, Fang Fan, Xuhui Zhou, Feng School of Statistics and Data Science Southeast University China Data Science Institute University of Technology Sydney Australia School of Computing Macquarie University Australia Center for Applied Statistics School of Statistics Renmin University of China China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing China

ISBN: (纸本)157735897X

Machine learning algorithms often struggle to eliminate inherent data biases, particularly those arising from unreliable labels, which poses a significant challenge in ensuring fairness. Existing fairness techniques that address label bias typically involve modifying models and intervening in the training process, but these lack flexibility for large-scale datasets. To address this limitation, we introduce a data selection method designed to efficiently and flexibly mitigate label bias, tailored to more practical needs. Our approach utilizes a zero-shot predictor as a proxy model that simulates training on a clean holdout set. This strategy, supported by peer predictions, ensures the fairness of the proxy model and eliminates the need for an additional holdout set, which is a common requirement in previous methods. Without altering the classifier’s architecture, our modality-agnostic method effectively selects appropriate training data and has proven efficient and effective in handling label bias and improving fairness across diverse datasets in experimental evaluations. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Learning algorithms

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