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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Ali, Md. Mamun Ahmed, Kawsar Bui, Francis M. Wu, Fang-Xiang University of Saskatchewan Division of Biomedical Engineering Saskatoon Canada University of Saskatchewan Department of Electrical and Computer Engineering Saskatoon Canada University of Saskatchewan Division of Biomedical Engineering Department of Mechanical Engineering Department of Computer Science Saskatoon Canada

ISBN: (纸本)9798350386226

Druggable proteins are defined as proteins that can interact with drugs to modulate certain biological activity. The identification of druggable proteins holds significant clinical importance, directly impacting the development of targeted therapies for diseases like cancer and metabolic disorders. Identifying druggable proteins involves various methods, including computational prediction models, mass spectrometry (MS), and biochemical assays, but achieving high accuracy remains a challenge. This study proposes DrugEL, an ensemble learning model that uses Bayesian inference to integrate predictions from multiple algorithms: Random Forest (RF), K-Nearest Neighbor (KNN), LightGBM (LGBM), and Decision Tree (DT) with seven feature extraction methods (LSA, AAC, PAAC, GAAC, NMBroto, AAIndex, and KNN). The results show that DrugEL outperforms existing models in terms of accuracy (0.9758), MCC (0.9515), AUC (0.9758), sensitivity (0.9742) and specificity (0.9774), particularly excelling with the LSA method. © 2024 IEEE.

关键词： Contrastive Learning

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A Real-Time IoT Cryptograph Communication of Chaotic-ADPCM Coding Method for IoT Applications 6

A Real-Time IoT Cryptograph Communication of Chaotic-ADPCM C...

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6th International Conference on electrical engineering and Information and Communication Technology, ICEEICT 2024

作者： Iman, Khalid Ismail Boby, R.I. Mollik, Md. Sazib Chowdhury, Imran Rahman, Sahidur Ankur, Wobeydul Haq Abdullah, Khaizuran Stamford University Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh Dhaka Bangladesh International Islamic University Malaysia Department of Electrical and Computer Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798350385779

Business, education, and research have formed a strong connection with the Internet of Things (IoT), an open-access collective communication service offered by Internet-connected devices. Though it seems to be a good deal in terms of cost and functionality, it is still the most dangerous communication channel due to high hacking rates and the ease of high data loss. Even though contemporary software is becoming more sophisticated for data and security, it still needs greater protection in a real-time setting. Utilizing extensive security measures may increase safety, but doing so will jeopardize the real-time environment. This study introduces a highly efficient encryption framework that combines chaotic maps with the Adaptive Differential Pulse Code Modulation (ADPCM) coding technique. The proposed algorithm ensures real-time secure communication for Internet of Things (IoT) applications while complying with ITU-T Recommendation Point G.726 and ANSI T1.303-1989 standards. It supports ADPCM transcoding algorithms at connection speeds of 16, 24, 32, and 40 kbps. The chaotic map technique was selected for its robust encryption capabilities using random variables and ADPCM for its high energy economy in transcoding and is characterized using two parallel encode functions per frame, which may be executed by small memory. The proposed encryption algorithm will perform three main operations. Firstly, it will be able to generate chaotic values from distinct initial conditions using two chaotic logistic maps. Secondly, it will transform these values into binary tables using a random encoding condition. Finally, it will execute the basic proposed ADPCM process to enhance security further. © 2024 IEEE.

关键词： Cryptography

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Optimal Design of Induction Machine for Spindle Motor Considering Rotor Conductor Bar Porosity 26

Optimal Design of Induction Machine for Spindle Motor Consid...

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26th International Conference on electrical Machines and Systems, ICEMS 2023

作者： Seo, Chae-Won Jang, DoHyun Hwang, Young-Ho Song, In-Seok Kim, Yong-Jae Jung, Sang-Yong Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of Chosun University Department of Electrical Engineering Gwangju Korea Republic of

ISBN: (纸本)9798350317589

This paper focuses on the impact of porosity on the reliability and structural robustness of Induction Machines used in high-precision applications. The proposed method investigates the influence of porosity electromagnetic field performance through the position and shape variables in Step 1. In Step 2, find a robust conductor bar shape that can withstand this porosity. The study proposes an optimal design approach to mitigate these effects by considering electromagnetic field performance and porosity sensitivity analysis. © 2023 IEEE.

关键词： Induction machine

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Method and Analysis for the Improvement of Preemption Performance in IEEE 802.1 TSN 17

Method and Analysis for the Improvement of Preemption Perfor...

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17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023

作者： Do, YoungSoo Kim, MinHo Kim, JongHun Jeon, JaeWook Sungkynkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9781665453486

The application of a program-based control method using an Electronic Control Unit (ECU) for mechanical control has improved the reliability and performance of vehicles. However, vehicle network structures are becoming increasingly complex. Consequently, the current central gateway method is in the process of changing from a domain-based structure to a zone-based network. The Institute of electrical and Electronics Engineers IEEE 802.1 group announced Time-Sensitive Networking (TSN) in line with the changing vehicle network system. TSN uses the IEEE 802.1Qav, IEEE 802.1Qbv, and IEEE 802.1Qbu protocols to achieve bounded low latency. Estimating the guard band area is essential when applying the IEEE 802.1 Qav protocol. This is because if the audio, video, and text frames are long or the transmission time is insufficient, the scheduled traffic area, where the control data are transmitted, might be invaded by the guard band area. A preemption function can be used to prevent such problems;however, to do so, additional processing time is required to divide or recombine frames. In addition, it is necessary to separate the divided frames and the required header for the re-assembly process. Subsequently, the preemption function can be used to minimize the guard band area, reduce the number of preemption occurrences, and increase the efficiency of the network. In this study, to solve the above-mentioned problem, we propose a method to explore the frame preemption and to reduce the number of preemptions that may occur in a specific situation. As a result, the number of preemption occurrences could be reduced by 87% by applying the proposed method. © 2023 IEEE.

关键词： Gateways (computer networks)

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High-speed, sub-volt silicon microring modulator driven by high-mobility transparent conducting oxide

High-speed, sub-volt silicon microring modulator driven by h...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Hsu, Wei-Che Nujhat, Nabila Kupp, Benjamin Conley, John F. Wang, Alan X. School of Electrical Engineering and Computer Science Oregon State University CorvallisOR97331 United States Department of Electrical and Computer Engineering Baylor University One Bear Place #97356 WacoTX76798 United States

We demonstrated a MOSCAP silicon microring modulator integrated with high-mobility titanium-doped indium oxide, achieving sub-volt 0.8 Vpp modulation up to 25 Gb/s, marking a milestone in transparent conducting oxide ... 详细信息

关键词： Transparent conducting oxides

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Analysis of correlations between electric arc furnace model coefficients

Analysis of correlations between electric arc furnace model ...

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2023 IEEE International Conference on Environment and electrical engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023

作者： Klimas, Maciej Grabowski, Dariusz Silesian University of Technology Department of Electrical and Computer Engineering Gliwice Poland

ISBN: (纸本)9798350347432

Electric arc furnaces (EAFs) are the largest loads in power systems and are characterized by a significant negative influence on power quality. The modeling of EAFs provides the knowledge necessary for the proper design of power systems and power quality improvement systems. This paper introduces a new EAF model based on the Random Differential Equation resulting from an extension of the power balance arc model with stochastic processes. The proposed solution considers correlations between the coefficients of the equation, resulting in improved accuracy and simplification of the model. The developed solution is based on real measurement data originating from the melting stage of a large industrial EAF. © 2023 IEEE.

关键词： Power quality

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Recent Advances in Vacuum Circuit Breakers

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Journal of engineering Science and Technology Review 2022年第6期15卷 164-169页

作者： Papadiotis, Kimonas Danikas, Michael G. Sarathi, Ramanujam Falekas, Georgios Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi67100 Greece Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

The paper studies the basic elements of vacuum arc formation and interruption, the design and applications of vacuum switch technology as well as its limitations. Beginning with the description of the main components of a vacuum circuit breaker (VCB), the study moves on to its historical development throughout the years. The context analyzed next refers to the properties and the principles of electrical breakdown mechanisms in vacuum, based on Paschen's law and Townsend theory. The creation of the electrical vacuum arc and its different forms are also an important part of this study. Finally, the main applications of vacuum circuit breakers in electrical power systems, along with their recent advances are analyzed and profitable prospects are created for the coming years © 2022 School of Science, IHU!. All rights reserved.

关键词： Electric circuit breakers

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Leveraging Neural Radiance Field and Semantic Communication for Robust 3D Reconstruction 100

Leveraging Neural Radiance Field and Semantic Communication ...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Xu, Rui Li, Gaolei Lin, Xi Liu, Yuchen Chen, Mingzhe Li, Jianhua Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai China North Carolina State University Department of Computer Science Raleigh United States University of Miami Electrical and Computer Engineering Department United States

ISBN: (纸本)9798331517786

By leveraging multi-view inputs to synthesize novel-view images, Neural Radiance Fields (NeRF) have emerged as a prominent technique in the realm of 3D object reconstruction. However, the input images of NeRF transmitted through high-interference wireless environment (HIWE) leads to negatively impact the accuracy of 3D reconstruction, thereby limiting its scalability. Fortunately, semantic communication has been proved a effective method to solve the above problem. In this paper, we propose a novel NeRF based 3D semantic communication (NeRF-3DSC) system, which offers robust 3D reconstruction in HIWE. Within NeRF-3DSC, semantic encoder and decoder are employed to extract and recover core semantic features of task-specific specific object (TSO) from the collected images, channel encoder and decoder ensure robust transmission of compressed semantic information in HIWE, lightweight renderer based on NeRF is employed for fast and efficient 3D reconstruction. Moreover, a semantic control unit (SCU) is introduced to guide above components, thereby enhancing the efficiency of reconstruction. Demonstrative experiments demonstrate that the proposed NeRF-3DSC enables robust object reconstruction in HIWE, surpassing the performance of state-of-the-art (SOTA) methods in terms of reconstruction quality. © 2024 IEEE.

关键词： Decoding

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Admittance-Based Modeling of Grid-Following Converters for Time-Domain Simulations of Multi-Converter electrical Power Systems

Admittance-Based Modeling of Grid-Following Converters for T...

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2023 International Conference on Clean electrical Power, ICCEP 2023

作者： Safavizadeh, Arash Vahabzadeh, Taleb Ebrahimi, Seyyedmilad Jatskevich, Juri University of British Columbia Department of Electrical and Computer Engineering Vancouver Canada

ISBN: (纸本)9798350348378

Accurate and efficient time-domain simulations are indispensable for integrating converter-interfaced energy resources into the evolving power grid. This paper proposes an admittance-based model (ABM) of grid-following converters (GFCs) for numerically efficient time-domain simulations. Specifically, the linear components of GFCs with fast dynamics are formulated as transfer functions, while the slow nonlinear components are kept without any model reduction. The transfer function- based admittance formulation preserves/includes the dynamic characteristic between the desired input/output variables of the fast sub-system. The proposed ABM also achieves an enhanced interfacing with external networks and does not require an extra time-step delay as opposed to the conventional implementation of state-space average-value models (SS-AVMs) of converters. The proposed ABM of the GFCs is validated through computer simulations and compared with the SS-AVM. It is shown that the proposed ABM is able to use larger time-steps and achieve higher numerical accuracy compared to SS-AVM, making it capable of simulating larger multi-converter systems using specific available simulation hardware. © 2023 IEEE.

关键词： Transfer functions

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Exploratory Data Analytics of Ota Transmission Sub-Station Electricity Load Patterns: Insights for Forecasting and Policy Direction

Exploratory Data Analytics of Ota Transmission Sub-Station E...

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2024 International Conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Oyebisi, Rafiu O. Olusanya, Olamide O. Bells University of Technology Department of Electrical/Electronics and Computer Engineering Ogun State Ota Nigeria Bells University of Technology Department of Computer Engineering Ogun State Ota Nigeria

ISBN: (纸本)9798350358155

Electricity supply and planning play a vital role in supporting economic development and improving the quality of life for communities. Effective decision-making in this domain requires a thorough understanding of electricity load patterns and consumption trends. Exploratory Data Analysis offers valuable opportunities to gain insights from electricity load data, as a use case of data science. In this study, 33KV feeders' peak load electricity measurements are acquired from Ota transmission stations, spanning four years (2019 to 2022). This data provides a rich source of information on seasonal variations in electricity consumption toward understanding demand patterns for optimizing resource allocation and infrastructure planning. Data analytics was therefore implemented on the historical peak load measurements to gather actionable insights for industry practitioners. Experimental results returns mean load value as a range from 4.24 to 20.16, indicating variations in electricity demand across the areas. The median values, ranging from 4.00 to 18.00, shows load measurements tend to center around a relatively stable level. Standard deviations value, between 1.27 and 2.61, illustrate the degree of variability in load measurements. The maximum load value discovered as 23.5 signifies the highest demand observed during the four-year study period, while the minimum load value of 1.0 signifies periods of low electricity consumption. The results also highlight variations in total load, emphasizing the importance of location-specific policies and infrastructure planning. For instance, AMJE exhibits the highest total load of 967.5, followed by Sango with 850.5 and IDI-IROKO with 689.5. Positive correlations are observed between SANGO and SUMO, indicating a tendency for these locations to experience similar load patterns. Whereas, negative correlations observed between IDI-IROKO and SUMO indicate contrasting load patterns between these locations. These correlations provide valua

关键词： Decision making

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