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Disruptive Technologies (ICDT), International Conference on

作者： Mohd Firoz Warsi Nitin Kumar Chauhan Shiv Narain Gupta Rahul Dev Ashish Choudhary Department of Computer Science (AIDS) Greater Noida Institute of Technology Greater Noida India Department of Elec. and Comm. Engg. Indore Institute of Science and Technology Indore India Department of Elec. and Comm. Engg. Greater Noida Institute of Technology Greater Noida India Department of Elec. and Comm. Engg. G.L. Bajaj Institute of Technology & Management Greater Noida Uttar Pradesh India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

In the realm of pharmaceutical research and development, accurate classification of drugs is of paramount importance for effective therapeutic interventions. This paper proposes a novel approach to drug classification utilizing a combination of Machine Learning (ML) and Artificial Neural Networks (ANN) algorithms. By harnessing the power of ANN's ability to learn complex patterns and ML's versatility in handling diverse datasets, our approach aims to enhance the accuracy and efficiency of drug classification tasks. Furthermore, we incorporate hyper parameter tuning techniques to optimize model performance, thereby maximizing predictive capabilities. Through comprehensive experimentation and evaluation on real-world drug datasets, our proposed methodology demonstrates promising results, showcasing superior classification accuracy compared to traditional methods. This research advances drug discovery and development by providing a robust framework for accurate drug classification in biomedical and pharmaceutical fields. In this study we have applied ten ML technique: Logistic Regression, Decision tree, Random forest, Catboost classifier, Adaboost classifier, Ensemble classifier, Gradient boosting classifier, LGBM classifier, Soft voting classifier, ANN with hyper parameter tuning and Support vector machine on the drugs classification dataset. The evaluation of classification outcomes was conducted both with and without the implementation of hyper parameter tuning. Notably, upon applying hyper parameter tuning, the ANN classifier emerged as the top performer, surpassing all other classifiers. RFC and DTC have also attained good accuracy of 96%. Impressively, ANN attained an accuracy rate of 99.29%, showcasing its superior performance in the dataset.

关键词： Drugs Support vector machines Logistic regression Accuracy Machine learning algorithms Artificial neural networks Classification algorithms Drug discovery Tuning Random forests

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Robust Charging Solutions for 400V EV Batteries: Implementing a Quasi Single-Stage Current-Fed Resonant Converter

Robust Charging Solutions for 400V EV Batteries: Implementin...

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2025 IEEE Texas Power and Energy Conference, TPEC 2025

作者： Furqan, Muhammad Uddin, Waqar Zeb, Kamran Ayaz, Muhammad Ashar Khan, Irfan Khalid, Muhammad Islamabad Pakistan Dhahran31261 Saudi Arabia IRC-SES KFUPM Dhahran31261 Saudi Arabia Texas A and M University College Station Dept. of Electrical and Computer Engneering TX77840 United States Texas A and M University College Station Dept. of Elec. and Comp. Engineering TX77840 United States KFUPM KFUPM IRC-SES Electrical Engineering Department Dhahran31261 Saudi Arabia

ISBN: (纸本)9798331541125

This work presents a high-performance AC-DC quasi single-stage current-fed resonant converter based elec.ric vehicles (EVs) charger. A non-linear control technique is applied which has two main objectives i.e;Power factor correction (PFC) and regulation of DC output voltage. For this purpose, super twisting sliding mode control (ST-SMC) is suggested in this study for 400V batteries of EVs. To reduce switching losses and improve efficiency, the secondary side switch shows turn OFF with zero voltage switching (ZVS) while the primary ones exhibit ZVS at turn ON instant. Hardware-in-loop (HIL) experimental validation based on the Delfino F28369D dual-core microcontroller is used to verify the performance of the controller and converter simulated on PSIM and MATLAB/Simulink. © 2025 IEEE.

关键词： Zero current switching

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Grid Impedance Adaptive VSG Control Based on Accurate Small-Signal Modelling

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IEEE Transactions on Industry Applications 2025年

作者： Wang, Minyang Yang, Yuxin Zhang, Yuchen Ambia, Mir Nahidual Ahmed, Al-Durra Zhang, Daming Meng, Ke Zhang, Ge University of New South Wales School of Elec Eng and Telco Faculty of Engineering NSW Australia Queensland University of Technology School of Electrical Engineering and Robotics Brisbane Australia University of Sydney Sydney Australia Principal Grid Connection Engineer at Nordex Oceania Australia Khalifa University Electrical Engineering and Computer Science Department Abu Dhabi United Arab Emirates ElectraNet Pty Ltd Adelaide Australia University of Queensland School of Electrical Engineering and Computer Science Brisbane Australia

The wide-spread integration of renewable energy has increased inverter-based generation, weakening grid strength and inertia, bringing challenges to power system stability. To address these issues, virtual synchronous generator (VSG) control has emerged as a modern grid-forming (GFM) technology that can autonomously provide active and reactive power to support grid frequency and voltage. However, when a VSG inverter operates under strong grid conditions, power oscillations may occur under a fixed parameter setting, making the grid difficult to reach a steady state. Under such circumstances, traditional stability analysis based on the rate of change of frequency (RoCoF) is insufficient, advanced analysis methods based on the changes in system impedance and further improvements are required. This paper proposed an accurate small-signal model of the VSG inverter along with an impedance identification method for grid impedance. Additionally, an improved VSG control adaptive to grid impedance is proposed based on the knowledge of small-signal model and system impedance. All proposed methods have been tested on a single-machine-infinite-bus (SMIB) system and the stability results demonstrate their effectiveness under both weak and strong grid scenarios. © 1972-2012 IEEE.

关键词： Synchronous generators

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Robust Charging Solutions for 400V EV Batteries: Implementing a Quasi Single-Stage Current-Fed Resonant Converter

Robust Charging Solutions for 400V EV Batteries: Implementin...

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IEEE Texas Power and Energy Conference (TPEC)

作者： Muhammad Furqan Waqar Uddin Kamran Zeb Muhammad Ashar Ayaz Irfan Khan Muhammad Khalid School of Electrical Engineering and Computer Science (SEECS) National University of Science and Technology (NUST) Islamabad Pakistan Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES) King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia IRC-SES KFUPM Dhahran Saudi Arabia Dept. of Electrical and Computer Engneering Texas A and M University College Station TX USA Dept. of Elec. and Comp. Engineering Texas A and M University College Station TX USA Electrical Engineering Department KFUPM and IRC-SES KFUPM Dhahran Saudi Arabia

ISBN: (数字)9798331541125

ISBN: (纸本)9798331541132

This work presents a high-performance AC-DC quasi single-stage current-fed resonant converter based elec.ric vehicles (EVs) charger. A non-linear control technique is applied which has two main objectives i.e; Power factor correction (PFC) and regulation of DC output voltage. For this purpose, super twisting sliding mode control (ST-SMC) is suggested in this study for 400V batteries of EVs. To reduce switching losses and improve efficiency, the secondary side switch shows turn OFF with zero voltage switching (ZVS) while the primary ones exhibit ZVS at turn ON instant. Hardware-in-loop (HIL) experimental validation based on the Delfino F28369D dual-core microcontroller is used to verify the performance of the controller and converter simulated on PSIM and MATLAB/Simulink.

关键词： Microcontrollers Switching loss Switches Resonant converters Zero voltage switching Regulation Batteries Safety Voltage control Sliding mode control

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SENSITIVITY CONSIDERATIONS FOR TIME-VARYING SAMPLED-DATA FEEDBACK SYSTEMS

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IRE TRANSACTIONS ON AUTOMATIC CONTROL 1961年第2期AC 6卷 228-&页

作者： CRUZ, JB Elec. Engineering Department and Coordinated Science Laboratory University of Illinois Urbana IL USA

A synthesis procedure for linear time-varying sampled-data feedback systems is described. Just as in the continuous system case, one of the advantages of feedback in a sampled-data system is that it can potentially reduce the effect of plant variations on the system performance. To a certain extent, load disturbance and instrument noise may be simultaneously reduced also. A time-domain sensitivity matrix is defined and used in the design of the digital compensators for prescribed insensitivity of the system to plant variation. In addition, two optimization criteria are presented for the design of these compensators when load disturbance and instrument noise have to be reduced as well. The procedure is also applicable to fime-invariant sampled-data systems.

关键词： Time varying systems Switches Sampling methods Instruments Output feedback Noise reduction Pulse modulation Feedback control Continuous time systems System performance

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SSRN

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SSRN 2025年

作者： He, Xiao Liu, Kai Zhang, Yifan He, Huihong School of Computer and Communication Engineering University of Science and Technology Beijing No. 30 Xueyuan Road Haidian District Beijing100083 China Engineering Research Center of Intelligent Supercomputing Ministry of Education No. 30 Xueyuan Road Haidian District Beijing100083 China China National Tendering Center of MACH. & ELEC. Equipment Government Procurement Center of MIIT No. 46 Enjizhuang Haidian District F Area Beijing100142 China

Context:Efficient version management of models in model-driven software engineering is vital for modeling tools, necessitating model matching, differencing, and merging to incorporate various model versions. Although similarity-based matching is the most general method, its computational complexity escalates at a cubic rate with the number of elements. Objective:This paper introduces a subtree-equivalence-based approach to accelerate similarity model matching, inspired by the observation that consecutive version changes typically impact only a small portion of a model. Methods:Our approach initially decomposes a model into a series of subtrees. Rather than performing element-wise matching directly, our approach tries to finds equivalent (i.e., either identical or closely similar) subtrees, representing the unchanged portion of a model, thus enabling quick pairing of elements within these *** effectively identify equivalent subtrees, this paper develops two hash functions for equality and similarity comparison of model trees. Results:Experiments using open-source Ecore and UML models indicate that our approach is 1.27 to 22.5 times faster on average compared to the state-of-the-art model matching tool while reducing the error rates in most ***:Our approach combines subtree matching and element-wise matching, and can improve the efficiency and the quality of similarity-based model matching. © 2025, The Authors. All rights reserved.

关键词： Open source software

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Improving partial parsing based on error-pattern analysis for a Korean grammar-checker

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ACM Transactions on Asian Language Information Processing 2003年第4期2卷 301-323页

作者： Kang, Mi-Young Yoon, Aesun Kwon, Hyuk-Chul Pusan National University Sch. of Elec./Computer Engineering Department of French Pusan National University San 30 Jangjeon-dong 609-735 Busan Korea Republic of Department of French Sch. of Elec./Computer Engineering

The main aim of this work is to make improvements to Mirine 2.2, a Korean grammar-checker that takes Korean language properties into account and to develop a system that satisfies user expectations. Particular attention is given to processing Korean texts that may contain users' grammatical and practical errors. In order to treat these errors efficiently, the system includes methods based on asymmetric relations from which partial parsing and the potential governing relationship are derived, implying the starting point for checking, the direction for parsing, and the limits of the scope for parsing. To organize partial parsing efficiently, the system requires an appropriate knowledge base. As its essential prerequisites, this study (a) considers the factors from which the various error types encountered while parsing various Korean texts arise;(b) extracts general patterns from the linguistic or extra-linguistic factors obtained in this manner;and (c) demonstrates how the system, based on a linguistic analysis, procures an adequate knowledge base for partial parsing to satisfy end-users. Mirine 2.2 achieves an F-measure of about 0.80 in detecting unknown erroneous words;an F-measure of about 0.98 when not considering unknown words;and 98.94% precision in correcting erroneous words.

关键词： computer programming languages

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REDOM: An OO language to define and on-line manipulate regulations in the resource (re)scheduling problem

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SOFTWARE-PRACTICE & EXPERIENCE 1997年第10期27卷 1135-1161页

作者： Thrampoulidis, K Diamantopoulos, N Housos, E Elec. and Comp. Eng. Department Computer Science Laboratory University of Patras 265 00 Patras Greece

In the class of (re)scheduling problems where humans constitute the main resource, the scheduling process is influenced by a great number of complex and frequently changing regulations. The complexity and the dynamic nature of these regulations impose the need for an efficient, flexible and user-friendly way to express and manage them. A solution to this problem, in the form of an object-oriented high-level language with semantics highly-tailored to the user needs, is presented. The language, called REDOM, can be applied to different scheduling application domains with a minimum degree of effort, because it is based on a generic meta-model of the resource scheduling problem. An application programming interface facilitates REDOM integration into existing scheduling systems. REDOM is currently being utilised by the DAYSY resource management system, that is implemented as a constraint satisfaction system based on a partial test-and-generate approach. The combination of REDOM and CHIP (Constraint Handling In Prolog), which was used for the implementation of the solution generation subsystem, resulted in a highly-efficient and flexible (re)scheduling system, well-accepted by users. (C) 1997 by John Wiley & Sons, Ltd.

关键词： resource (re)scheduling constraint satisfaction regulations handling regulations definition language object-oriented system application-oriented languages

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A Neural Network-Based Connectivity Management for Mobile Computing Environment

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International Journal of Wireless Information Networks 2003年第2期10卷 63-71页

作者： Vijay Kumar, B.P. Venkataram, P. Protocol Eng. and Technology Unit Elec. Commun. Engineering Department Indian Institute of Science Bangalore 560 012 India Dept. of Elec. Commun. Engineering Indian Institute of Science Bangalore India

The mobile computing environment experiences wireless problems and suffers from limited bandwidth, which leads to frequent disconnections. This has posed a challenge in maintaining user-to-user connectivity in the mobile computing environment. In this paper, we propose a neural network (NN) based connectivity management for mobile computing environment to maintain the mobile user-to-user connectivity throughout the transaction. Here the Connectivity management maintains the status information of mobile hosts at the base station to handle frequent disconnection of mobile hosts (MHs), which occur because of hand-offs and interruptions. The disconnection of an MH because of wireless problems is called interruption, and the disconnection due to MH crossing the cell boundary is called hand-off. The neural networks are trained with respect to the status information to provide an intelligent decision for the connectivity management The simulation results demonstrate that the proposed technique performs well in terms of percentage acceptance of disconnections and resource utilization (bandwidth and buffer) for the volatile mobile computing environment. It is also observed that the intelligent decision by neural network has improved the performance of the system.

关键词： Mobile computing

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Regression-based template tracking in presence of occlusions

Regression-based template tracking in presence of occlusions

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8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007

作者： Patras, Ioannis Hancock, Edwin Queen Mary University of London Department of Elec. Engineering University of York Department of Computer Science

ISBN: (纸本)076952818X

This paper addresses the problem of efficient visual 2D template tracking in the presence of large motions and partial occlusions. We adopt a learning approach, in our case using a Bayesian Mixture of Experts (BME), in which observations at each frame yield direct predictions of the state (e.g. position / scale) of the tracked target. In contrast to other methods in the literature, we explicitly address the problem that the prediction accuracy can deteriorate drastically for observations that are not similar to the ones in the training set;such observations are common in case of partial occlusions or of fast motion. To do so, we couple the BME with a probabilistic kernel-based classifier which, when trained, can determine the probability that a new/unseen observation can accurately predict the state of the target (the 'relevance' of the observation in question). In addition, in the particle filtering framework, we derive a recursive scheme for maintaining an approximation of the posterior probability of the target's state in which the probabilistic predictions of multiple observations are moderated by their corresponding relevance. We apply the algorithm in the problem of 2D template tracking and demonstrate that the proposed scheme out-performs classical methods for discriminative tracking in case of motions large in magnitude and of partial occlusions. © 2007 IEEE.

关键词： Forecasting

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