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Rapid Construction of Diode Models Based on Physical Mechanism and Machine Learning 12

Rapid Construction of Diode Models Based on Physical Mechani...

引用

12th International Conference on Awareness science and Technology, iCAST 2023

作者： Lin, Kun-Wei Li, Jia-Wei Jian, Wei-Chen Jiang, Zheng-Han Lu, Hsin-Hou dept. Computer Science and Information Engineering Chaoyang University of Technology Taichung Taiwan dept. Electrical Engineering National Cheng-Kung University Tainan Taiwan

ISBN: (纸本)9798350324693

Diodes are crucial components in electronics, with applications ranging from rectification to sensing. Traditional modeling methods are time-consuming due to manual parameter extraction. In this study, two machine learning approaches for the rapid construction of diode models were developed and compared. These two methods named the Turning Point Segmentation (TPS) and Diode Operating Range Segmentation (DORS) are based on machine learning to find turning point segmentation and fixed work interval segmentation. From the experimental results, it is known that finding the turning point with machine learning has better results. In terms of MSE, the train and test sets of TPS (DORS) are 0.008 (0.011) and 0.006 (0.019), respectively. In terms of linearity, the R2-scores of the training set and test set of TPS (DORS) are 0.992 (0.979) and 0.994 (0.961), respectively. In all data simulations, the MSE and R2 of TPS (DORS) are 0.008 (0.013), and 0.993 (0.974), respectively. Both have excellent performance in terms of time consumption. This innovative technique holds promise for revolutionizing electronics engineering and advancing the role of machine learning in modeling complex systems. © 2023 IEEE.

关键词： Machine learning

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Predict of the Hidden Drug Interactions Based on Similarity Utilizing the Knowledge Graph

Predict of the Hidden Drug Interactions Based on Similarity ...

引用

2024 International Conference on computer and Applications, ICCA 2024

作者： Elfiky, Mariam Gamal Ghoniemy, Samy Eldin, Ahmed Sharaf University of Hertfordshire hosted by Gaf Dept. of Information Technology Management for Business Cairo Egypt Galala University Faculty of Computer Science and Engineering Cairo Egypt Sinai University Faculty of Information Technology and Computer Science Cairo Egypt

ISBN: (纸本)9798350367560

Drug-drug interactions (DDIs) can significantly impact treatment outcomes by causing adverse effects or reducing therapeutic efficacy. Whereas many DDIs are already known, there are numerous hidden interactions. Therefore, this study tries to predict unknown interactions based on drug structure and target information from the Drug Bank dataset. This paper trains the random forest model integrated with a knowledge graph on a dataset containing 922 unique drugs and 731,196 drug interactions. To illustrate the complex interactions between these drugs, we created a knowledge graph with Neo4j. This graph integrates information gathered from the dataset and extracts relevant data using Cypher queries. The inference engine was created according to the model's predictions on unknown DDIs. The random forest model, with an F1-score of 0.82, achieved a recall of 0.99 and a precision of 0.70. Also, 34,580 potential DDIs were extracted from the sample dataset of drugs. By embedding the knowledge network, our inference engine significantly enhanced predicting the hidden interactions and was found strong in the balance of precision and recall. Our research is applicable to the enhancement of drug safety and effectiveness via mitigating potential DDIs by identifying them. © 2024 IEEE.

关键词： Knowledge graph

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Innovative Approaches to Dental Age Estimation: A Comprehensive Review of CNN Technologies and Ethical Issue 5

Innovative Approaches to Dental Age Estimation: A Comprehens...

引用

5th International Conference on Data Intelligence and Cognitive Informatics, ICDICI 2024

作者： Shyni, I. Domilin Sheeja Herobin Rani, C. Sheeba, I. Rexiline Mahizha, S.I. Dmi Engineering College Dept. Of Computer Science and Engineering Aralvoimozhi India St.Xavier's Catholic College of Engineering Dept. Of Electronics and Communication Engineering Nagercoil India Sathyabama Institute of Technology and Science Dept. Of Electronics and Communication Engineering Chennai India St.Xavier's Catholic College of Engineering Dept. Of Information Technology Nagercoil India

ISBN: (纸本)9798350389609

Estimating dental age is crucial in multiple disciplines, such as forensic science, orthodontics, and pediatric dentistry. Traditional methods, while effective, often involve manual processes and subjective judgment. Recent advancements in Convolutional Neural Networks (CNNs) have introduced innovative approaches that promise greater accuracy and efficiency. This comprehensive review examines the latest CNN technologies applied to dental age estimation, highlighting their methodologies, performance, and advancements. Key aspects covered include the development and optimization of CNN architectures, the role of data preprocessing and augmentation, and the impact of these technologies on predictive accuracy. Additionally, the review addresses critical ethical issues associated with the implementation of CNNs in dental age estimation, such as data privacy, potential biases, and the implications of automated decision-making in sensitive contexts. By integrating insights from current research and practical applications, this review provides a thorough understanding of both the technological innovations and ethical considerations driving progress in determining dental age. © 2024 IEEE.

关键词： Convolutional neural networks

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Quantum Resistance Blockchain Algorithm using QHF and Novel Consensus Mechanism

Quantum Resistance Blockchain Algorithm using QHF and Novel ...

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2025 IEEE International Students' Conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Paul, Soumyadip Mazumdar, Mausumi Maitra Chakraborty, Sarit Government College of Engineering & Ceramic Technology Dept. of Information Technology Kolkata700010 India Government College of Engineering and Leather Technology Department of Computer Science and Engineering Kolkata700106 India

ISBN: (纸本)9798331529833

The emergence of quantum computing poses a significant threat to the security of traditional blockchain systems, which rely heavily on classical cryptographic algorithms. To safeguard the integrity and reliability of blockchain technology in the upcoming era, this work proposes a novel quantum-resistant blockchain architecture. This approach integrates a robust consensus mechanism, with advanced quantum cryptographic primitives, including quantum digital signatures based on a Quantum Hash Function (QHF). Incorporating a quantum hash function enhances the blockchain resistance, providing an additional layer of security against quantum attacks. By combining these elements, our method creates a blockchain system fortified against the potential vulnerabilities introduced by quantum computers. The proposed solution leverages the power of QHFs to safeguard transaction integrity, while the consensus mechanism ensures the reliability and decentralization of the network. This paper also delves into the theoretical underpinnings of quantum blockchains, exploring their design, feasibility, and potential applications, emphasizing their promising future, particularly in areas such as decentralized identity authentication. Finally, it contributes to the development of a secure and resilient blockchain ecosystem capable of thriving in the coming era. © 2025 IEEE.

关键词： Quantum computers

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Explore the Impact of Quantum Computing to Enhance Cryptographic Protocols and Network Security Measures 5

Explore the Impact of Quantum Computing to Enhance Cryptogra...

引用

5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Ambika, S. Balaji, V. Rajasekaran, R.Thalapathi Periyasamy, P.N. Kamal, N. E. G. S. Pillay Engineering College Department of Information Technology Tamil Nadu Nagapattinam India Chennai India Saveetha School of Engineering Simats Dept. of Computer Science and Engineering Chennai India Hindusthan Institute of Technology Department of Computer Science and Engineering India Grt Institute of Engineering and Technology Dept. of Computer Science and Engineering Tamil Nadu Tiruttani India

ISBN: (纸本)9798350383522

The revolutionary effects of quantum computing on security procedures for networks and cryptographic protocols are the focus of this study. Our research shows that conventional cryptographic algorithms are susceptible to quantum assaults;specifically, RSA and ECC encryption are very vulnerable. On the other hand, cryptographic algorithms that are immune to quantum attacks, such as multivariate polynomial cryptography and lattice-based algorithms, show promise in meeting these challenges. Key exchange rates between 200 kbps and 450 kbps and error rates as low as 0.5% are some of the significant achievements shown by Quantum Key Distribution (QKD) implementations. These applications show that QKD is a viable solution for protecting communication channels up to 200 km away. On top of that, there are remarkable outcomes when network security systems incorporate quantum advancements. The detection accuracy of Quantum-Enhanced Intrusion Detection Systems (QIDS) is 98.5% and the false positive rate is minimally 0.2%. The detection accuracy of quantum-secured communication systems is 99.2% and the false positive rate is an extremely low 0.1%. While quantum firewalls keep a detection accuracy of 97.8% and a false positive rate of 0.3%, quantum-safe cryptographic modules show a low latency of 3 ms. © 2024 IEEE.

关键词： cryptographic protocol data security quantum key distribution quantum-enhanced intrusion detection

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Internet of Things(IoT) security: Approaches and existing solutions

Internet of Things(IoT) security: Approaches and existing so...

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2023 TRON Symposium, TRONSHOW 2023

作者： Upadhyay, Vatsala Vaish, Abhishek Kokila, J. Indian Institute of Information Technology Allahabad Dept. of Information Technology Prayagraj211015 India Indian Institute of Information Technology Trichy Dept. of Computer Science and Engineering Tiruchirappalli620012 India

ISBN: (纸本)9784893624093

The world has become dependent on using the Internet of Things(IoT) owing to its unique features - sensing the environment, acting upon the results obtained by sensors, connecting a network of devices for communication, and many more have made human lives simpler. Research done in the area of the Internet of Things(IoT) has revealed that these devices are vulnerable to physical and network attacks that can directly/indirectly result in the malfunctioning in the normal parameters of the devices, as well as cause important data loss or secret information being leaked which can become useful for the hackers to attack the device and tamper with the stored contents in the device. These problems pave the way for designing a robust, security mechanism for the Internet of Things(IoT). This paper shall present an overview of the security aspects of the Internet of Things(IoT) - starting with the attacks that can occur on this network, the survey done in this area, and towards the end, presenting some solutions for making the IoT secure and resilient to vulnerabilities. © 2023 TRON Forum.

关键词： Internet of things

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Near-Optimal Swapping and Purifying Strategy for All-Optical-Switching Entanglement Routing

Near-Optimal Swapping and Purifying Strategy for All-Optical...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Huang, Shao-Min Hsu, Tang-Ming Du, Jing-Jhih Kuo, Jian-Jhih Wang, Chih-Yu Academia Sinica Research Center for Information Technology Innovation Taipei City Taiwan National Chung Cheng University Dept. of Computer Science and Information Engineering Chiayi Taiwan

ISBN: (纸本)9798350351255

Entangled pairs serve as the cornerstone for secure data transmission. All-optical-switching technology on nodes enables the entangling signals to bypass nodes and build ultra-long entangled pairs. Nevertheless, entangled pairs suffer from decoherence over distance, causing inadequate fidelity and potentially compromising transmission quality. To address the challenges, we employ entanglement purification to enhance fidelity to meet the threshold. However, the purification process consumes additional entangled pairs and may fail. Besides, the purification efficiency would be poor if the input pairs have low fidelity. Thus, it is unavoidable to divide the path into sub-paths with appropriate lengths for better purification efficiency and then merge them into a longer entangled pair by swapping. The novel optimization problem DOSP then emerges: maximizing the probability while adhering to fidelity constraints. To tackle the DOSP efficiently, we propose a (1-δ)-approximation algorithm NSPS to consider the probability and fidelity jointly, where is a positive user-defined constant. Finally, the simulation results manifest that the NSPS can outperform the existing methods by at least 70%. © 2024 IEEE.

关键词： Quantum entanglement

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A Comparative Analysis of ML Algorithms to Improve Crop Productivity Prediction

A Comparative Analysis of ML Algorithms to Improve Crop Prod...

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2023 International Conference on Disruptive Technologies, ICDT 2023

作者： Nigam, Anushree Jain, Divyanshu Talan, Manish Singh Singh, S.K. Umrao, Sandhya Galgotias College of Engineering and Technology Dept. of Information Technology Greater Noida India Noida Institute of Engineering and Technology Dept. of Computer Science Engineering Greater Noida India

ISBN: (纸本)9798350323887

According to numerous calculations, the global food output must significantly increase by 2050. Additionally, water levels have been declining, and there is a shortage of usable agricultural land. The first step to introducing smart agriculture in India is good analysis and implementation of machine learning. This research strives to present the best-fit machine learning algorithm to predict crop production in a specific area, state or season. The aim of this research is to make data-driven farming possible. By comparing various regression models namely decision tree, linear regression, XGB regression, and random forest, authors found the most accurate and fast algorithm to process the large volume of agricultural data. The data was visualized to find the top 5 crops produced in India and then the top 3 of them were visualized area-wise, state-wise, and season-wise to give a detailed analysis of crop distribution and production in India. © 2023 IEEE.

关键词： Crops

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Quantum Error Correction Based Entanglement Routing in Socially-Aware Quantum Networks

Quantum Error Correction Based Entanglement Routing in Socia...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Huang, Shao-Min Chien, Ming-Huang Wen, Ting-Yuan Wang, Qian-Jing Kuo, Jian-Jhih National Chung Cheng University Dept. of Computer Science and Information Engineering Chiayi Taiwan Academia Sinica Research Center for Information Technology Innovation Taipei City Taiwan

ISBN: (纸本)9798350351255

Quantum teleportation enables high-security communications via quantum entanglement. However, decoherence, signal decay, and environmental interference may cause imperfect entangled pairs with low fidelity. Such entangled pairs may easily generate errors when used to teleport data qubits and cause fatal computation errors on quantum computers. Fortunately, data qubits can be encoded via quantum error correction (QEC) code to recover the detected error to some extent. Nevertheless, letting any repeaters process data qubits is dangerous because malicious repeaters may peep at, destroy, or fake the data qubits. Thus, in this paper, we propose a novel QEC-enabled routing framework MOON facilitated with the concept of social networks (SNs) for quantum networks (QNs). MOON selects only trusted repeaters to process data qubits and exhibits elastic routing with QEC to maximize the throughput without errors. Last, simulation results show that our framework can outperform existing approaches by up to 34% on network throughput without errors. © 2024 IEEE.

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Authorizable Tripartite Entanglement Routing via 3-GHZ State in Quantum Networks

Authorizable Tripartite Entanglement Routing via 3-GHZ State...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Huang, Shao-Min Wei, Ching-Ting Zhan, Kai-Xu Le Touze, Juliette Chou Kuo, Jian-Jhih Wang, Chih-Yu National Chung Cheng University Dept. of Computer Science and Information Engineering Chiayi Taiwan Academia Sinica Research Center for Information Technology Innovation Taipei City Taiwan

ISBN: (纸本)9798350351255

Traditional end-to-end entanglement typically operates between two parties. However, such a setup may fall short when three parties are involved. GHZ states, a multi-qubit entangled state, provide an approach to such a problem. A fusion node is first chosen, and then the paths from all end nodes to the fusion node are fused to create an entangled state between all parties. The selection of the fusion node becomes critical since it highly affects the success probability of the whole process. Thus, in this paper, we explore the promising scenario for multiple requests of authorizable tripartite teleportation and introduce a novel optimization problem to maximize the (expected) total profit for 3-GHZ requests. Via extensive simulation results, we show that our algorithm can outperform existing approaches significantly. © 2024 IEEE.

关键词： Quantum entanglement

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