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IEEE Transactions on Artificial Intelligence 2024年第4期5卷 1613-1623页

作者： Manna, Siladittya Bhattacharya, Saumik Pal, Umapada Indian Statistical Institute Computer Vision and Pattern Recognition Unit Kolkata700108 India Indian Institute of Technology Kharagpur Department of Electronics and Electrical Communication Engineering Kharagpur721302 India

In medical image analysis, the cost of acquiring high-quality data and annotation by experts is a barrier in many medical applications. Most of the techniques used are based on a supervised learning framework and require a large amount of annotated data to achieve satisfactory performance. As an alternative, in this article, we propose a self-supervised learning approach for learning the spatial anatomical representations from the frames of magnetic resonance (MR) video clips for the diagnosis of knee medical conditions. The pretext model learns meaningful context-invariant spatial representations. The downstream task in our article is a class-imbalanced multilabel classification. Different experiments show that the features learned by the pretext model provide competitive performance in the downstream task. Moreover, the efficiency and reliability of the proposed pretext model in learning representations of minority classes without applying any strategy toward imbalance in the dataset can be seen from the results. To the best of our knowledge, this work is the first of its kind in showing the effectiveness and reliability of self-supervised learning algorithms in imbalanced multilabel classification tasks on MR scans. © 2020 IEEE.

关键词： Supervised learning

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Constancy Investigation of Fuzzy Controller over Proportional Integral Controller for Resonant Converter

Constancy Investigation of Fuzzy Controller over Proportiona...

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2023 International Conference on computer Communication and Informatics, ICCCI 2023

作者： Madhanakkumar, N. Subramanian, Arulkumar Vijayaragavan, M. Sriramkumar, V. Mailam Engineering College Department of Electrical and Electronics Engineering Mailam India Wachemo University Department of Electrical and Computer Engineering Hossana Ethiopia Vellore Institute of Technology Vellore India

ISBN: (纸本)9798350348217

In this article mainly aimed to reduce the disturbance raised in the line or load side of resonant converter. We have to achieve effective output from the resonant converter among any disturbance condition. So that the previous literature survey the resonant converter is subjected to line and load side disturbances. In the survey told that the resonant converter works along with the help of controllers will give the better output when compared with the resonant converter working alone. Here the designed resonant converter is manually subjected to line and load disturbances with input voltage of 55V supplying for 80ohms load which the converter is integrating with Proportional Integral (PI) and Fuzzy logic controller. The designed converter's disturbance output voltages and currents waveforms of PI and Fuzzy controllers are compared by time domain specifications like peak time, raise time, settling time and peak overshoot are measured by using output waveforms and then we have to conclude that the recital working of Fuzzy controller is more effective than the Proportional Integral (PI) controller. © 2023 IEEE.

关键词： Controllers

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Duck Egg Setter System with Sorting Process Using Image Processing 15

Duck Egg Setter System with Sorting Process Using Image Proc...

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15th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2023

作者： Reyes, Ryan C. Mendoza, Roel M. Sevilla, Rovenson V. Calagday, John Gelvic C. General, Renielle Carl C. Leyco, Samantha Joynna J. Lozano, Jose Noel C. Monteser, Kristine R. Fernandez, Edmon O. Dela Cruz, Jennifer C. Technological University of the Philippines Electronics Engineering Department Manila Philippines School of Electrical Electronics and Computer Engineering Mapua University Manila Philippines

ISBN: (纸本)9798350381177

The project focused on the development of a machine that automates the duck egg incubation and sorting process with the utilization of image processing for the balut and penoy production industries in the Philippine Agricultural Sector. The study attempted to mitigate the challenges and problems faced in the traditional setup of duck egg-incubated production systems. The project involved the fabrication of a machine that is capable of moving eggs through three different processes, specifically incubation, candling, and sorting, by means of motor mechanisms, computer programming, and image processing. The incubation stage utilized a ceramic bulb setup as a source of heat, and a pre-programmed microcontroller allowed a consistent temperature in the egg incubator cabin by activating an exhaust fan, while the system was able to maintain a stable humidity ranging from 50% to 80% and a temperature varying from 36°C to 38°C. The candling stage was equipped with a vertically moving camera surface linked with an image processing threshold software program to detect the maturity of the embryo inside the eggs. After several trials, test results showed 66.67% to 91.67% accuracy in correctly determining the correct egg maturity stage in the candling stage, and 91.67% of all processed eggs have not incurred any damage caused by movement from the conveyors and sorting mechanisms. © 2023 IEEE.

关键词： Image processing

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An Efficient Shortest Path Optimized Algorithm for Vehicle Adhoc Networks System 7

An Efficient Shortest Path Optimized Algorithm for Vehicle A...

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7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Shalini, K. Reddy, K. Harinath Punati, Kondalarao Kavin, K.S. Veena, P. Pushpalatha, K. Vardhaman College of Engineering Department of Artificial Intelligence and Data Science Shamshabad India Annamacharya Institute of Technology and Sciences Department of Electrical and Electronics Engineering Rajampet India Hyderabad Institute of Technology and Management Faculty of Electronics and Communication Engineering Hyderabad500090 India Government College of Engineering Department of Electrical and Electronics Engineering Tamilnadu Tirunelveli India N. S. S. Polytechnic College Department of Computer Engineering Pandalam Pathanamthitta India Coimbatore Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore641109 India

ISBN: (纸本)9798350372816

VANET (Vehicular ad-hoc network) is a network of advanced automobiles designed to solve the problem of mobility and, as a result, reduce the number of accidents. Because VANET is a type of MANET (mobile ad hoc network) surrounded by human-driven nodes, the social concept can be used to explain VANET routing decisions. This motivates academics to look into the possibilities of using Social Network Analysis (SNA) to create routing strategies. The most critical problem in any system is parcel drop. Social characteristics-based architectures encounter comparable challenges, resulting in inefficient message delivery. In this research, the dragonfly method is used to the shortest path methodology for fixed line VANET with the purpose of reducing package drop and increasing network reliability. This is made achievable by sculpted system of values centralization analysis, which improves the decision via dragonfly optimization methodology. The behavior of the using nodes capability then be determined by the importance computation. In this study, the sustainability of the optimized shortest path system is measured in terms of End to End delay, Energy Consumption, Packet Loss, and Throughput. The dragonfly algorithm's throughput evaluation is 650 kbps as compared to the traditional way. © 2024 IEEE.

关键词： Vehicular ad hoc networks

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Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning 25

Comprehensive Pipeline Leak Detection Using Induced-Leak Enh...

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25th IEEE International Conferences on High Performance Computing and Communications, 9th International Conference on Data Science and Systems, 21st IEEE International Conference on Smart City and 9th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Siddique, Muhammad Farooq Ullah, Niamat Kim, Jong-Myon University of Ulsan Department of Electrical Electronics and Computer Engineering Ulsan Korea Republic of University of Ulsan Pd Techology Co. Ltd. Department of Electrical Electronics and Computer Engineering Ulsan Korea Republic of

ISBN: (纸本)9798350330014

Pipelines hold a crucial role in the effective transportation of liquids and gases over extensive distances. Detecting leaks through Acoustic Emission (AE) events is intricate due to the interference of noise. The conventional strategy of utilizing AE scalogram images from continuous wavelet transforms (CWT) faces challenges in precisely identifying leaks amidst noise. To surmount these complexities, we introduce an inventive technique. Our Enhanced Leak-Induced Scalograms are generated by processing CWT images with Laplacian filters, Non-Local Means (NLM) noise reduction, and adaptive histogram equalization (AHE) to enhance contrast. This unique approach ensures scalogram image quality while reducing background noise. We incorporate the Grey Level Run Length Matrix (GLRLM) model for feature extraction and deploy K-Nearest Neighbors (KNN) and t-Distributed Stochastic Neighbor Embedding (t-SNE) for accurate classification of leak and normal conditions. The proposed method excels across diverse metrics using real-world datasets. This methodology elevates image quality, bolsters classification precision, and marks a significant advancement in pipeline leak detection. Validation through experimentation on an industrial-scale testbed involving real pipelines affirms the efficacy of our proposed approach. © 2023 IEEE.

关键词： Wavelet transforms

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Validation of High Angular Resolution Diffusion-Weighted Imaging Protocols 15

Validation of High Angular Resolution Diffusion-Weighted Ima...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Seth, Jyoti Savitha, R. Kumar, Ashwini Vivekananda Global University Department of Computer Science & Engineering Jaipur India School of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India Arka Jain University Department of Mechanical Engineering Jharkhand Jamshedpur India

ISBN: (纸本)9798350370249

High angular resolution diffusion-weighted imaging (HARDI) protocols are strategies used to growth the number of facts amassed about tissue microstructure in diffusion imaging. Current studies have sought to apprehend the validity of HARDI methods and their ability to reconstruct the underlying tissue systems accurately. The evaluation of HARDI reliability is accomplished thru 3 major classes: voxel-wise checks of methods, simulations to evaluate protocol efficiency, and human brain tract reconstruction. outcomes from these studies have tested that HARDI may additionally offer progressed visualization of mind microstructure and might higher differentiate between individual white count tracts and distinctive tissue kinds than conventional diffusion imaging. However, due to the complexity of HARDI protocols, further validation is essential to ensure accuracy and discover the strengths and weaknesses of the strategies. © 2024 IEEE.

关键词： Accomplished Accuracy Distinctive Essential Microstructure Protocols Strategies Validation

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Sputtered Ultrathin WO3 for Realizing Room-Temperature High-Sensitive NO2 Gas Sensors

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ACS Applied Electronic Materials 2023年第11期5卷 5831-5840页

作者： Chiu, Yu-Chuan Deb, Moumita Liu, Po-Tsun Zan, Hsiao-Wen Shih, Yun-Ru Kuo, Yue Ruan, Dun-Bao Gan, Kai-Jhih Hsu, Chih-Chieh Department of Photonics College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Photonics College of Electrical and Computer Engineering National Chiao Tung University Hsinchu30010 Taiwan Department of Chemical Engineering Texas A&M University College StationTX77843 United States Department of Electronics Engineering and the Institute of Electronics National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Electronics Engineering and the Institute of Electronics National Chiao Tung University Hsinchu30010 Taiwan

In this work, we used a commercial manufacturing process to obtain a WO3 semiconductor gas sensor to realize NO2 detection in parts-per-billion concentration at room temperature (25-27 °C). The radio-frequency (RF) sputtering process was used to deposit an ultrathin (down to 5 nm) WO3 sensing layer. With suitable control of the deposition ambient and the postannealing condition, the WO3 ultrathin-film resistor with a 50-μm line width can detect 100 ppb of NO2 without any heating setup. Notably, no nanometer process is required;hence, the production can be realized by current flat-panel display technology. By modulating the deposition condition, we investigated the influences of surface roughness, crystalline condition, and surface hydroxyl group levels on the sensing response. To achieve parts-per-billion (ppb) level detection, the ultrathin thickness is essential, and the high-level crystal together with the low-level surface hydroxyl group also enhances the sensitivity and the recovery. The humidity effect is also discussed to show an almost unchanged response in relative humidity (RH) from 30 to 70%. In summary, the WO3 sensor shows good sensing performance, including a high sensitivity, a wide detecting concentration range (17 ppm to 100 ppb), and fast response/recovery (30 s/∼21 s) at low NO2 concentration (0.68 ppm). Finally, the good enough selectivity, stability, and nondecayed sensing of the WO3-based gas sensor after 14 days were demonstrated. © 2023 American Chemical Society.

关键词： Room temperature

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Permissioned Blockchain-Based Monitoring Framework for DER-Integrated Distribution Networks 14

Permissioned Blockchain-Based Monitoring Framework for DER-I...

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14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion, MEDPOWER 2024

作者： Angın, Pelin Zehir, Alparslan Ceylan, Oguzhan Eissa, Mohamed Aly Amin Selim Yüksel, Murat Can Deveci, Umur Yılmaz, Seyit Cem Göl, Murat Department of Computer Engineering Middle East Technical University Ankara Turkey Department of Electrical and Electronics Engineering Marmara University Turkey Department of Management Information Systems Kadir Has University Turkey Istanbul Turkey Department of Electrical and Electronics Engineering Middle East Technical University Ankara Turkey

ISBN: (纸本)9781837242689

SCADA systems are used for real-time monitoring of key systems and the status of critical assets in both transmission and distribution networks. The trend towards different types of"new" loads and sources such as photovoltaic (PV), electric vehicle (EV) charging stations and battery storage systems is changing the operational approach of distribution grids. Well-known fit-and-forget philosophy is being replaced and requires more operational activities and more thorough monitoring of end devices in new active distribution networks (ADNs). In this paper, a permissioned blockchain-based monitoring framework for distribution networks hosting different types of distributed energy resources (DERs) is presented. The proposed tool operates independently of the SCADA system while it can utilise SCADA measurements for anomaly and fraud detection. In addition, seamless integration and visibility is facilitated by the flow of information between DERs and the distribution system operator through adapters between the blockchain network and the main protocols used for smart metering, inverter management and EV charging stations. The coordinated use of SCADA and the proposed framework will provide a redundant set of observations that will contribute to unbiased state estimation and successful anomaly detection. © The Institution of engineering & Technology 2024.

关键词： Charging stations

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A Low-Noise Capacitively-Coupled Chopper Instrumentation Amplifier with SAR-Assisted Low Current Ripple Reduction Technique 21

A Low-Noise Capacitively-Coupled Chopper Instrumentation Amp...

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21st International System-on-Chip Design Conference, ISOCC 2024

作者： Jo, Jungkook Jun, Jaehoon Inha University Department of Electrical and Computer Engineering Korea Republic of Inha University Program in Semiconductor and Device Korea Republic of

ISBN: (数字)9798350377088

ISBN: (纸本)9798350377088

This paper presents a novel design technique for reducing ripple in various sensor read-out integrated circuits (IC) by calibrating the amplifier offset through current control in bias resistors. Traditional methods for reducing ripple often involve complex amplifiers consuming static power. In contrast, the proposed ripple reduction technique employs successive-approximation register (SAR) logic to control the current flowing through the bias resistor, thus minimizing static power consumption. Experimental results obtained through simulations in a 28 nm CMOS process demonstrate significant ripple reduction to 8.94 μVpp from 2 mVpp. This approach is suitable for low-power design, particularly in wearable device applications, and can potentially extend to other amplifier configurations utilizing chopping technique. © 2024 IEEE.

关键词： Chopper amplifiers

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Performance Investigation of Resonant Converter with and Without Controller

Performance Investigation of Resonant Converter with and Wit...

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2023 International Conference on computer Communication and Informatics, ICCCI 2023

ISBN: (纸本)9798350348217

The surviving on present literature focusing the design of resonant converter to work on various drives. In this literature, the PI controller is subjected to perform co-ordinates with resonant converter with DC input voltage of 55V for 80ohms nominal load. The designed resonant converter is exposed to both line and load side disturbances. The time domain specification (TDS) of proposed resonant converter is observed. The positive and effective feedback is come from PI controller combining with proposed resonant converter than the common designed converter. The time domain provisions like Delay time, Rise time, Peak time, Peak Overshoot and Settling time of PI controller co-ordinates with proposed resonant converter is basically effective than resonant converter working alone. © 2023 IEEE.

关键词： Controllers

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