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AIP Conference Proceedings 2023年第1期2427卷

作者： Anurag Gupta Rupal Gupta Vineet Saxena 1Department of Computer Science Engineering Teerthanker Mahaveer University Moradabad Uttar Pradesh India

Fusion of data is a common way of dealing with incomplete raw data to collect reliable, useful, and accurate data. Compared with a variety of the traditional stochastic fusion techniques, a machine-learning approach which automatically learns without explicit programming from past experiences, remarkably refreshed the process of fusion by providing efficient calculation and prediction. However, a comprehensive analysis of the current developments in machine knowledge for information synthesis still lacks in the literature. Reviewing and summarizing the state of the art is also useful for having an unfathomable vision into How to support and enhance information synthesis in machine learning. This paper provides an overview of data fusion approaches in depth for machine learning. Conceived, introduced, architecture, scientific and conventional methods. This paper firstly gives a comprehensive outline to the context of machine learning and information fusion. Then suggest a range of specifications and use them as guidelines for testing and assessing the output based on machine learning of existing fusion methods.

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Long-fiber Sagnac interferometers for twin field quantum key distribution networks

arXiv

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arXiv 2024年

作者： Mandil, Reem Qian, Li Lo, Hoi-Kwong Centre for Quantum Information and Quantum Control Department of Physics University of Toronto TorontoONM5S 1A7 Canada Centre for Quantum Information and Quantum Control Department of Electrical and Computer Engineering University of Toronto TorontoONM5S 3G4 Canada Quantum Bridge Technologies Inc. 100 College Street TorontoONM5G 1L5 Canada

A Sagnac loop structure can help overcome the major difficulty in the practical implementation of a twin field quantum key distribution (TFQKD) network, namely, the need to stabilize the phase of a quantum state over many kilometers of fiber. Unfortunately, Rayleigh backscattering noise limits the signal-to-noise ratio for Sagnac systems containing long fibers and lossy photonic devices. Here, we solve this problem by sending optical pulses in long on-off bursts and using time post-selection on measurements taken with free-run single-photon avalanche detectors. We also investigate the impact of the residual phase noise uncompensated by the Sagnac structure and find that the variance of the phase noise scales as loop length to the third power, verifying an existing calculation in the literature. We measure the interference visibility in Sagnac loops of varying length without active phase or polarization stabilization and achieve > 97% visibility in 200 km ultra-low-loss fiber, which is, to our knowledge, the longest fiber Sagnac interferometer demonstrated. Our results indicate the suitability of a Sagnac system for long-distance TFQKD networks, an important step towards the practical implementation of metropolitan quantum networks. © 2024, CC BY-NC-SA.

关键词： Signal to noise ratio

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Data Preprocessing with IRM for skill extraction using NMF

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Procedia computer Science 2022年 207卷 2283-2290页

作者： Shinichi Oeda Shunsuke Iizumi Department of Information and Computer Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Kisarazu City Chiba Japan Advanced Course of Control and Information Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Kisarazu City Chiba Japan

To provide examinees with appropriate question items, identifying and evaluating users' latent and acquired skills is important in e-learning systems. These latent skills are defined in terms of a Q-matrix. Constructing Q-matrices manually is relatively labor-intensive, because doing so requires expert insight as well as verbal examination to identify which skills students have mastered. Methods to extract a Q-matrix from examination results automatically using nonnegative matrix factorization (NMF) have been explored, and improved methods such as online NMF have been proposed, which extracts an immutable Q-matrix from time-series data. In this study, we propose a data preprocessing method to improve the accuracy of NMF using a co-clustering method called an infinite relational model (IRM). We also describe experiments conducted using synthetic data, in which learners' skills and the bias in the number of their responses were evaluated, and show that the results demonstrate the efficacy of the proposed approach.

关键词： NMF(Non-negative Matrix Factorization) IRM(Infinite Relational Model) Co-clustering Q-matrix Student-Modeling Skill-Modeling

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Sharing Linkable Learning Objects with the use of Metadata and a Taxonomy Assistant for Categorization

arXiv

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arXiv 2022年

作者： Franzoni, Valentina Tasso, Sergio Pallottelli, Simonetta Perri, Damiano Department of Mathematics and Computer Science University of Perugia via Vanvitelli 1 PerugiaI-06123 Italy Department of Computer Control and Management Engineering "Antonio Ruberti" Sapienza University of Rome via Ariosto 25 Roma00185 Italy

In this work, a re-design of the Moodledata module functionalities is presented to share learning objects between e-learning content platforms, e.g., Moodle and G-Lorep, in a linkable object format. The e-learning courses content of the Drupal-based Content Management System G-Lorep for academic learning is exchanged designing an object incorporating metadata to support the reuse and the classification in its context. In such an Artificial Intelligence environment, the exchange of Linkable Learning Objects can be used for dialogue between Learning Systems to obtain information, especially with the use of semantic or structural similarity measures to enhance the existent Taxonomy Assistant for advanced automated classification. © 2022, CC BY-NC-ND.

关键词： Taxonomies

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Stealthy Attacks on Sampled-Data control and Encryption-Based Countermeasures

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IEEE Transactions on Automatic control 2025年

作者： Shang, Jun Li, Yuzhe Chen, Tongwen Tongji University Department of Control Science and Engineering Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Shanghai200092 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 1H9 Canada

This paper investigates stealthy attacks on sampled-data control systems, where a continuous process is sampled periodically, and the resultant discrete output and control signals are transmitted through dual channels in wireless communication networks. Acknowledging the vulnerability of these transmitted data to cyber threats, we analyze two types of stealthy attacks that compromise either one or both channels. We explicitly present the necessary and sufficient conditions for the existence of stealthy single-channel attacks. To mitigate these security risks, we implement encryption-based countermeasures, including linear time-invariant and periodic encryption methods. We detail sufficient conditions under which these encryption strategies effectively thwart single- and dual-channel stealthy attacks. The effectiveness of these approaches and the theoretical findings are demonstrated through numerical simulations. © 1963-2012 IEEE.

关键词： Cyber attacks

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Enhancing the emotion task classification in the imbalanced dataset of YouTube© using synthetic minority over-sampling technique

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AIP Conference Proceedings 2023年第1期2427卷

作者： Shakti Kundu Anurag Gupta Ajay Rastogi 1Department of Computer Science Engineering Teerthanker Mahaveer University Moradabad Uttar Pradesh India

The main objective of this research paper is to overcome the issue of imbalances in data and achieve an improved outcome for grouping by using synthetic minority over-sampling (SMOTE). The imbalanced issue with the dataset causes classification efficiency loss in many applications of data mining comprising of pattern detection, document categorization, and knowledge filtering activities. A sampling-based algorithm SMOTE is used herein to boost the efficiency of emotion classification that over-samples minority class instances to amount of majority class instances. YouTube© dataset was optimized using the SMOTE methodology and evaluated by the use of 3 machine learning algorithms, including decision tree (DT), multinomial Naïve Bayes (MNB), and support vector machines (SVM). As a consequence, SVM reaches full specificity with 92.20 percent filtering function and 88.33 percent filtering process classification. The oversampling solution, however, might not be successful because it merely replicates minority class instances without any additional details. A way to create a set of instances comparable to those in the minority class with high potential to identify with the minority class was proposed in order to address this issue, and use them instead in the oversampling phase.

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Blockchain technology’s overview: Consensus, architecture and future trends

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AIP Conference Proceedings 2023年第1期2427卷

作者： Rohaila Naaz Ashendra Kumar Saxena Pradeep Kr. Shah 1Department of Computer Science Engineering Teerthanker Mahaveer University Moradabad Uttar Pradesh India

Blockchain has been recently widely used as the foundation of Bitcoin. Blockchain is an immutable ledger that allows for a decentralized transaction. There are emergent Blockchain apps covering numerous areas including financial services, reputation system and the Internet of Things (IoT), etc. Nonetheless, blockchain knowledge problems as security and scalability issues are still to come addressed. Bitcoin is limited to a maximum of 7 transactions per second that cannot accommodate high frequency trading. Nonetheless, bigger blocks mean greater space for storage and less network transmission. This will eventually contribute to centralization because fewer people want to hold such a massive blockchain. A full overview of blockchain technology is presented here. Researcher gives first of all an outline of blockchain design and compared several widely used consensus algorithms in various blockchains. Furthermore, there is a short list of technical challenges and recent developments. They also identify potential blockchain future trends.

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Design of a smart iron power switching device

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AIP Conference Proceedings 2023年第1期2427卷

作者： Ashok Kumar R. C. Tripathi Amit Kumar 1Department of Computer Science Engineering Teerthanker Mahaveer University Moradabad Uttar Pradesh India

It's a growing issue our clothes get burnt when ironing. This occurs primarily when the iron box is left idle when making some phone calls or other activities. Ironing works by loosening the bond between polymer long-chain molecules in the material fibers. It is a concept that uses an innovative structure and motorized mechanisms to efficiently iron various clothes by reducing the ironing task difficulties. This is a protection tool that is extremely useful in every household. It will be an affordable, foldable machine that can iron any cloth within a time frame. It uses an ultrasonic sensor, which detects the iron box's distance from the fabric. The distance from the cloth is constant, as the iron box is left idle. Using this philosophy, for a given time, a sensor senses the distance. Further LED blinks and buzzer sets on as the gap continues to be constant. The power gets cut off after this as the iron box is still idle. And we can avoid the burning off of our clothes.

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Two-Degree-of-Freedom PID controller Design of Unmaned Aerial Vehicles

Two-Degree-of-Freedom PID Controller Design of Unmaned Aeria...

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2022 International Conference on control, Automation and Diagnosis, ICCAD 2022

作者： Taher Azar, Ahmad Serrano, Fernando E. Ahmad Kamal, Nashwa Al Mhdawi, Ammar K. Khamis, Alaa M. Kasim Ibraheem, Ibraheem Humaidi, Amjad J. Ben Njima, Chakib Prince Sultan University College of Computer & Information Sciences Riyadh Saudi Arabia Benha University Faculty of Computers and Artificial Intelligence Benha Egypt Instituto de Investigación en Energía Tegucigalpa11101 Honduras Cairo University Faculty of Engineering Giza Egypt Edge Hill University United Kingdom General Motors Canada OshawaL1J 6J2 Canada Dijlah University College Department of Computer Techniques Engineering Baghdad10001 Iraq University of Technology Control and Systems Engineering Department Baghdad Iraq University of Sousse Tunisia

ISBN: (数字)9781665497947

ISBN: (纸本)9781665497947

This paper shows an analysis and controller design of independent two degrees of freedom (2DOF) PID controllers for unmanned aerial vehicles. The transfer functions of system dynamics are separated into two sections: lateral and longitudinal. A transient examination of the temporal response for the lateral and longitudinal control blocks is also included in this paper when a reference input is utilized as a pilot instruction. This research also provides a robustness analysis as well as an integral square error analysis to evaluate the performance of the suggested control technique. The fundamental contribution of this research is that independent control for unmanned aerial vehicles is limited, as described in the literature. A major contribution is made because disturbances are handled. The results show that in all simulations, a suitable settling time and overshoot are reached. © 2022 IEEE.

关键词： Longitudinal control

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Performance analysis of constrained application protocol (CoAP)

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AIP Conference Proceedings 2023年第1期2591卷

作者： Hadeel Hussein Azeez Mahmood Zaki Abdullah 1Department of Computer Engineering Mustansiriyah University Baghdad Iraq. 2Computer Engineering Department College of Engineering Mustansiriyah University Baghdad Iraq.

The Internet of Things (IoT) is made up of intelligent devices that interconnect. This allows sending of data by these devices to the cloud server to use for many applications. Many IoT protocols are designed for communicating between IoT devices and cloud-like Hypertext Transfer Protocol (HTTP), Message Queuing Telemetry Transport (MQTT), and Constrained Application Protocol (CoAP). In this study, we focus on the predictions of the performance of communication between them based on the CoAP protocol. For this reason, we present IoT cloud with CoAP server to implement CoAP protocol and discuss their performance. First, we use three performance metrics for evaluating and contrasting. Second, built a testbed with two scenarios to implementing and predicting the performance. The first scenario is implemented without any modification to the CoAPthon library. The second scenario is modified the CoAPthon library to store incoming data. From the results of two scenarios in different loads, we see that there is no significant difference in the results between the two scenarios up to 500 requests. After that, the elapsed time, error rate of the second scenario increase, and the throughput decrease.

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