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3rd IEEE Delhi Section Flagship Conference, DELCON 2024

作者： Savaram, Padmaja Tabassum, Suhana Bandu, Sasidhar Lakshitha, B. College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University Dept. of Computer Science KSA Al-kharj Saudi Arabia University College of Engineering Osmania University Dept. of Computer Science and Engineering Hyderabad India Prince Sattam Bin Abdulaziz University Dept. of English Al-Kharj Saudi Arabia Vnrvjiet Jntu Dept. of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9798331518592

Named Entity Recognition (NER) represents a fundamental operation within Natural Language Processing (NLP), focused on the extraction and classification of specific entities embedded in textual data. Given the rising linguistic diversity present in digital communications, there is an escalating need for NER systems to be proficient in identifying and categorizing entities across a spectrum of languages. However, developing NER models for resource-poor languages presents significant challenges due to limited labeled data and linguistic resources. This paper examines methodologies for enhancing the ability of NLP models to perform NER across diverse languages by transferring knowledge from high-resource languages to low-resource languages. We delve into advanced approaches such as cross-lingual transfer learning, multilingual embeddings, and cross-lingual model adaptation. Cross-lingual transfer learning utilizes pre-trained models from high-resource languages to initialize NER systems for low-resource languages, thereby facilitating the effective transfer of linguistic knowledge across language boundaries. Multilingual embeddings provide a shared representation space for words across languages, facilitating the transfer of linguistic knowledge. Additionally, cross-lingual model adaptation techniques aim to adapt existing NER models to new languages through fine-tuning or domain adaptation. By enhancing the generalizability of NER models through cross-lingual knowledge transfer, we enable these models to perform effectively across diverse linguistic contexts, including both resource-rich and resource-poor languages. These advancements contribute to broader accessibility and applicability of NER technology across languages and cultures, facilitating more inclusive and comprehensive language processing applications. © 2024 IEEE.

关键词： Embeddings

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Optimal Feature Vector Selection for Emotion Classification of Similar Emotional Speech

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Transactions of the Korean Institute of electrical Engineers 2023年第10期72卷 1231-1236页

作者： Roh, Kyung-Min Chae, Da-Eun Lee, Seok-Pil Dept. of Intelligent IoT Sangmyung University Korea Republic of Dept. of Computer Science Sangmyung University Korea Republic of

This study focuses on exploring features that classification emotions that show similar patterns and are difficult to differentiate when judged based on Russell's circumplex model. To achieve this, we utilized the KEMDy19 Dataset and the EmoDB dataset to evaluate the validity of feature vectors necessary for classifying similar emotion groups. Through experiments, this research identified the most effective measure of separability among various methods for classifying similar emotions and subsequently applied these findings to an SVM classifier to explore the optimal feature combination. As a result, we confirmed that the choice of feature vectors is crucial in emotion classification, and the optimal combination can vary depending on the database and emotion group. This study proposes an effective feature selection strategy for improving the accuracy of emotion recognition, expecting it to contribute significantly to the advancement of emotion recognition research. © 2023 Korean Institute of electrical Engineers. All rights reserved.

关键词： Emotion Recognition

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FBG Sensor Design and Analysis for Early Detection of Cancer 18

FBG Sensor Design and Analysis for Early Detection of Cancer

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18th INDIAcom;11th International Conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Sharan, S.C. Dhruva, H.K. Mary Anitha, T. Roy, Neil Sharan, Preeta Madhwesha Moudgalya, R. The Oxford College of Engineering Dept. of Computer Science and Engineering Bangalore India The Oxford College of Engineering Dept. of Mca Bangalore India Delhi Technological University Dept. of Computer Science and Engineering New Delhi India The Oxford College of Engineering Dept. of Electronics and Communication Engineering Bangalore India The Oxford College of Engineering Dept. of Science and Humanities Bangalore India

ISBN: (纸本)9789380544519

Several of the current procedures for detecting cancer, such as mammography, ultrasound, MRI, and biopsy, are either expensive, painful, intrusive, or have limitations in accuracy and sensitivity. As a result, there is a need for a simple, noninvasive, and cost-effective tool for detecting cancer at an early stage. Fiber Bragg grating (FBG) sensors offer a wide range of uses in primary care and biomedical applications for intelligent sensing. Furthermore, fiber-optic FBGs have several benefits that set them apart. The most noteworthy of these applications, of course, are incredibly valuable human health indicators such as blood pressure, heart rate, and body temperature. Temperature and blood pressure vary depending on a person's physical, involuntary, nervous, and mental state. Therefore, measuring vital parameters, especially temperature can help in the early identification of symptoms of a disease. Research suggests that temperature variation is observed in cancerous cells (breast, cervix, and blood vessels). FBGs can be utilized as thermal sensors to measure temperature changes with great sensitivity and precision. FBG sensors also face some challenges, such as low signal-to-noise ratio, cross-sensitivity, and environmental interference. Therefore, optimizing the Q factor of FBG sensors is crucial for improving their performance and reliability for cancer identification. In the current study, an optimized FBG sensor was designed and simulated. The average Q-factor obtained in 244.26. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Blood cancer FBG Fiberoptic Hela cells MCF-7 cells modulation OptiGrating SMF

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K-Band QPSK PMCW Radar with Digital I/Q Constellation Phase Compensation and I/Q Imbalance Correction

K-Band QPSK PMCW Radar with Digital I/Q Constellation Phase ...

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2025 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNeT 2025

作者： Thompson, Derek Li, Changzhi Dept. of Electrical and Computer Engineering Texas Tech University LubbockTX United States

ISBN: (纸本)9798331507336

This paper presents a novel K-Band Quadrature Phase Shift Keying (QPSK) phase-modulated continuous-wave (PMCW) radar front end architecture with digital I/Q constellation phase compensation and I/Q channel imbalance correction. Although QPSK is a very common form of digital phase modulation, it is rarely reported for PMCW radar systems, especially those designed on printed circuit board (PCB) technology. A MATLAB simulation platform is also developed and presented to help verify the benefits of QPSK PMCW radar for range detection. © 2025 IEEE.

关键词： MATLAB

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An Extension of Interior Point Differential Dynamic Programming for Optimal Control Problems with Second-Order Conic Constraints

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Transactions of the Korean Institute of electrical Engineers 2022年第11期71卷 1666-1672页

作者： Kim, Min-Gyeom Kim, Kwang-Ki Dept. of Electrical and Computer Engineering Inha University Korea Republic of

This paper presents the second-order conic IPDDP (SOC-IPDDP) that modifies interior point differential dynamic programming (IPDDP) to explicitly handle second-order conic constraints. Differential dynamic programming (DDP) has been widely used to solve nonlinear optimal control problems in control and robotics. However, DDP has a big drawback that it cannot handle hard constraints and constraints are usually encoded softly as parts of the cost functions. To overcome this constraint-handling limitation of DDP, interior point differential dynamic programming (IPDDP) is proposed to deal with hard constraints using the interior point method. In this paper, we extend IPDDP to efficiently take care of second-order conic constraints by exploiting their algebraic structures. For demonstration, the performances of SOC-IPDDP are compared with IPDDP in the planar rocket landing optimal control problem. It is shown that the proposed SOC-IPDDP has a comparable convergence rate to the existing IPDDP and is less sensitive to the changes in the parameters of the cost function. Copyright © The Korean Institute of electrical Engineers.

关键词： Cost functions

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IMPROVED INDOOR FORMALDEHYDE MONITORING SYSTEM USING ENHANCED SELF-DEVELOPED CIRCUITS AND LOCAL OUTLIER FACTOR ALGORITHM

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: electrical engineering and computer science 2022年第2期84卷 137-152页

作者： Li, Bin Zhong, Kai Niu, Yongyue Cui, Peng Xue, Liang Ji, Nan Wei, Dahui Dept. of Electrical and Computer Engineering Jilin Jianzhu University China

An indoor distributed formaldehyde monitoring system has been developed with multiple self-developed sensor nodes and wireless communication circuits. Local outlier factor algorithm has been adopted to increase the accuracy of the system. In addition, software has been developed based on LabVIEW for data receiving, data storing, data displaying and remote accessing. Experiments were carried out to evaluate the performance of this improved system. Compared to our previous work, the proposed system exhibits some improvements in performance of formaldehyde sensing ability, software function and quality of wireless communication due to the enhancement of hardware and software in the system. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Remote control

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Mutiphysics Analysis for Electromagnetics-Structural Deformation-Circuit Coupled Problem of Electromagnetic Expulsive De-icing System

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Transactions of the Korean Institute of electrical Engineers 2022年第11期71卷 1599-1607页

作者： Kang, Sung-Jun Lee, Jun-Sung Rho, Seung-Eun Park, Jong-Oh Jung, Eun-Chae Park, Il-Han Dept. of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

One of the ice protection systems for flights above medium altitudes is the electromagnetic explusive deicing system(EEDS). EEDS is composed of a coil which is structurally deformed by electromagnetic repulsion of electric current supplied by external circuit, a complex multiphysics phenomenon requiring electromagnetic, structural, and circuit analysis simultaneously. In this paper, we suggest electromagnetic(EM)-structural deformation-circuit coupled lumped parameter system for the analysis of EEDS. The results of the numerical analysis using the coupled lumped parameter system is compared with the results of measuring experiment using the EEDS prototype, which showed high concordance in current, electromagnetic force, and displacement. The coupled lumped parameter system enables bi-directional analysis which takes into account the interdependence between the different systems. Furthermore, it can significantly reduce the computational cost, which enables complex performance evaluation on various design variables and saves time and cost in the initial design steps. Copyright © The Korean Institute of electrical Engineers.

关键词： Timing circuits

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Advancement in Image Plagiarism Detection using Feature Extraction and Deep Learning Approaches 5

Advancement in Image Plagiarism Detection using Feature Extr...

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5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Bhandari, Sonam Chaudhary, Sumit Malhotra, Sonal Joshi, Kapil Kirola, Madhu Rajkumar Uttaranchal Institute Of Technology Uttaranchal University Dept. of Computer Science and Engineering Dehradun India Graphic Era Hill University Graphic Era Deemed to be University Dept. of Computer Science and Engineering Dehradun India Dev Bhoomi Uttarakhand University Dept. of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350367171

With the widespread use of digital media, amount of visual content on the internet and the incidence of image plagiarism has also increased. In various domains including academia, journalism and creative industries, unauthorized use or reproduction of images without proper attribution has become significant concern. Scaling, rotation, cropping, filtering due to these diverse range of transformations detecting image plagiarism is a challenging task now. This study investigates the use of deep learning approach to image plagiarism detection that combines methods for similarity measurement, clustering and feature extraction. A comprehensive solution is being proposed by combining Scale Invariant Feature Transform (SIFT) for extracting features, Bag of Visual Words (BoVW) model and Convolutional Neural Networks (CNNs) for image analysis. The effectiveness of the proposed approach through extensive experiments is demonstrated, outperforming the baseline methods and showcasing superior performance metrics. © 2024 IEEE.

关键词： Contrastive Learning

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Encoding Cyclic Redundancy Checked Sequences 5

Encoding Cyclic Redundancy Checked Sequences

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5th IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2025

作者： Abdel-Ghaffar, Khaled A. S. University of California Dept. Electrical and Computer Engineering DavisCA95616 United States

ISBN: (纸本)9798331519957

The undetected error probability of cyclic redundancy checks (CRC) combined with an error-correcting code in a concatenated coding scheme is considered. It is shown that this probability depends very much on the encoding of the cyclic redundancy checked sequences into codewords in the error-correcting code. Furthermore, it is proved that the average undetected error probability of the concatenated code over all linear encoders of the error-correcting code is about 1/2 of that of the error-correcting code, where is the degree of the CRC polynomial. In particular, for any CRC polynomial of degree , there exists an encoding function of the error-correcting code such that the undetected error probability of the concatenated scheme is at most 1/2 of that of the error-correcting code. © 2025 IEEE.

关键词： Concatenated codes

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Balancing Capacitor Voltages in 7-Level Single Phase Flying-Capacitor Wavelet Modulated Inverters

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IEEE Transactions on Industry Applications 2022年 1-8页

作者： Saleh, S.A. Dept. of Electrical & Computer Engineering UNB Fredericton NB Canada

This paper develops and tests a method for balancing capacitor voltages in 7-level flying-capacitor (FC) inverters, which are operated by the wavelet modulation (WM) technique. This multi-level inverter has two capacitors in each pole, whose voltages deviate due to changes in its loading level. In order to ensure that all switching elements experience identical voltage stresses and no circulating currents, the voltage across each capacitor has to be maintained very close to its reference value. The proposed method to balance the capacitor voltage is based on adjusting the scales of resolution segmented wavelet basis functions, which are used as switching signals to operate a 7-level FC inverter. The adjustments of the scales can vary the widths and locations of switching pulses produced by the WM technique. The proposed capacitor voltage method is structured using a proportional-integral controller to adjust the scales, thus balancing the capacitor voltages. The accuracy, effectiveness, and response speed of the proposed method to balance capacitor voltage are demonstrated through simulation and experimental test cases. IEEE

关键词： Modulation

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