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检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

共 11233 条记录，以下是4921-4930 订阅

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Identify Hidden Phenotypes in Electronic Health Records Using Machine Learning Technique 3

Identify Hidden Phenotypes in Electronic Health Records Usin...

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3rd international conference on Technological Advancements in Computational Sciences, ICTACS 2023

作者： Takuli, Arun Kumar Joshi, Prakash Nayan, Sony Singh, Nitendra Saraswat, Manish Department of Information Technology U.P. Greater Noida201306 India Raj Kumar Goel Institute of Technology Department of Computer Science & Engineering U.P. Ghaziabad201003 India ABES Engineering College CSE-AIML UP Ghaziabad201002 India Hmritm Hamidpur Department of Computer Science & Engineering Delhi India Lloyd Institute of Engineering & Technology Affiliated to Aktu Mechanical Engineering UP Greater Noida India

ISBN: (纸本)9798350342338

scientific information, such as EHRs, have become increasingly famous because of their comfort and price savings related to their use. On the side of providing an extra efficient manner of storing and reviewing affected person facts, using EHRs allows healthcare companies to study and examine healthcare tendencies and outcomes extra effectively. As the use of EHRs grows, so does the need for brand-new methods to perceive and extract medically helpful facts from the facts. Lately, there has been a growing frame of labor that uses device learning strategies to discover hidden phenotypes in EHRs. These hidden phenotypes are defined as 'information or characteristics that are not conveniently obvious from the raw EHRs information however, may be gleaned through automatic data mining and evaluation.' This newsletter focuses on the various tactics used to pick out hidden phenotypes in EHRs through machine studying, natural language processing (NLP), deep gaining knowledge of, and supervised mastering techniques. It additionally gives an outline of the most promising algorithms and discusses the challenges and possibilities associated with the usage of this era. © 2023 IEEE.

关键词： Data Mining Health Record Information Medical Records NLP

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Multimodal Sentimental Analysis Using GloVe Convolutional Neural Network with Capsule Network 3

Multimodal Sentimental Analysis Using GloVe Convolutional Ne...

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3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Yamsani, Nagendar Abdul Hussein, Abbas Hameed Faith, S.Julia Al-Attabi, Kassem Arabi, Mohammed Yousif School of Computer Science and Artificial Intelligence SR University Telangana Warangal India College of Pharmacy Ahl Al Bayt University Karbala Iraq S.A.Engineering College Department of Information Technology Chennai India The Islamic University Najaf Iraq National University of Science and Technology Dhi Qar Iraq

ISBN: (纸本)9798350317022

Leverage the power of deep learning-based Multimodal Sentiment Analysis to gain a deeper understanding of emotions and sentiments in various forms of data, including text, images, and video. This research is conducted on the CMU-MOSI and CMU-MOSIE datasets, which comprise text, audio, and video clips. In this paper, propose the utilization of GloVe for text feature extraction and sentiment classification (negative, positive, and neutral). For audio feature extraction, employ Mel-Frequency Cepstral Coefficients (MFCC) and utilize a Convolutional Neural Network (CNN) for audio sequence classification. Additionally, incorporate the Capsule Network for video clip classification, effectively addressing limitations seen in previous models. As a result, of the model achieves outstanding performance metrics on the CMU-MOSI dataset, with ACC2 at 86.95% and ACC7 at 56.95%, and on the CMU-MOSIE dataset, it attains ACC2 at 87.55% and ACC7 at 55.80%, surpassing the capabilities of existing models such as Hybrid Contrastive Learning of Tri-Modal Representation (Hycon) and (MMLATCH) Bottom-Up Top-Down Fusion. © 2023 IEEE.

关键词： Capsule Network Convolutional Neural Network Feature Extraction Glo Ve Modalities and Multimodal

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Research on pedestrian flow detection algorithm based on Ghostnetv2 lightweight network 3

Research on pedestrian flow detection algorithm based on Gho...

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3rd international conference on Advanced Algorithms and Signal Image Processing, AASIP 2023

作者： Lyu, Jin Yang, Jing Shao, Ruping Zhou, Wang College of Electrical Engineering and Control Science Nanjing Tech University Nanjing211816 China Engineering Research Center of BIM Nanjing Tech University Nanjing211816 China

ISBN: (纸本)9781510668522

To solve the problems of a large number of parameters, low detection accuracy, slow detection speed of human flow target detection model, this paper proposes a YOLOv5 human flow target detection model based on GhostNetv2. The convolution in the first layer of CBS is retained to replace the remaining convolutions with Ghost Conv, and the C3Ghostv2 module is constructed to replace the original CSP structure, reducing the number of parameters, reducing the calculation cost and improving the calculation speed. Finally, the Deep-Sort algorithm tracks and realizes real-Time statistics of people flow. The experimental results indicate that the accuracy of the improved YOLOv5 model is 2.4 percentage points higher than that of the original algorithm, the parameter quantity is compressed by 28 %, and the detection speed has also increased. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Convolution

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Optimal re-distribution of demand responsive loads in Microgrids 3

Optimal re-distribution of demand responsive loads in Microg...

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3rd international conference on Artificial Intelligence and Signal Processing, AISP 2023

作者： Pothireddy, Krishna Mohan Reddy Vuddanti, Sandeep National Institute of Technology Andhra Pradesh Electrical Engineering Department Tadepalligudem India

ISBN: (纸本)9798350320749

The sudden surge in the fuel cost and increase in environmental impact causes a reduction in electricity generation through conventional energy sources. The power system is moving towards the incorporation of distributed energy resources (DERs) into the existing microgrid (MG). Distributed generation (DG), storage system and geographically scattered loads forms a MG. The stochasticity and unpredictable output associated with DGs may create imbalance in supply and demand. Further, the unexpected peak loads on the system mayjeopardize the system reliability. Hence, proper energy management system is obligatory for peak reduction so as to maintain the power balance. One of the emerging and efficient energy management techniques is demand response. While incorporating demand response, a part of curtailed loads i.e., shiftable loads at peak loads should be re-distributed to other off-peak hours where the load demand and electricity offer price is less. The re-distribution of loads at non-peak hours eventually increases the market clearing price (MCP). Increment in MCP mostly effects the inelastic loads as they cannot shift their schedule from one horizon to another since they are must run loads and of on/off in nature. In this context, the present work focuses on optimal rescheduling of the redistributed loads that doesn't impact much MCP and operational cost (OC) of the MG much and should able to maintain the dynamic balance between supply and demand. A cost-based method was employed in which grey wolf optimization (GWO) algorithm is used to optimize the OC of the MG. © 2023 IEEE.

关键词： Energy management

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Power Quality Improvement In Three-Phase Distribution Line Using DSTATCOM 3

Power Quality Improvement In Three-Phase Distribution Line U...

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3rd IEEE international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Waikhom, Orison Shimray, Benjamin A National Institute of Technology Manipur Department of Electrical Engineering Imphal India

ISBN: (纸本)9798350319972

In the modern power system, power quality is a significant issue that may have an impact on consumers and utilities. The integration of renewable energy sources, smart grid systems, and extensive use of power electronics equipment after the semiconductor revolution caused a drastic change in the load characteristics in a day. Since, the conventional methods of using inductors and capacitors for power quality improvement have been replaced by improved power conditioners using FACTS devices due to limitations like oversized, inefficiency, poor reliability and controllability. This paper presents a power quality improvement technique in the presence of non-linear load and harmonics using a Distribution Static Synchronous Compensator [DSTATCOM] with a capacitor as an energy storage element. DSTATCOM provides comparatively fast control of reactive and active powers for load compensation, harmonics elimination, mitigation of voltage flicker, and voltage regulation. The control strategy of the proposed DSTATCOM is provided based on Synchronous Reference Frame theory and Carrier-based Pulse Width Modulation [PWM] technique. Power quality problems like reactive power, low power factor, and harmonics due to load switching, active loads, inductive loads, and non-linear loads at the distribution side have been studied in this paper. Modelling of transmission lines, design and control of DSTATCOM, and monitoring of power quality are carried out in MATLAB/SIMULINK ode23t solver for different types of loads and the simulation results are compared with a typical power distribution system. © 2023 IEEE.

关键词： Power quality

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Design of Three-port Photovoltaic Energy Storage System based on Modular Bidirectional DC/DC Converter 3

Design of Three-port Photovoltaic Energy Storage System base...

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3rd international conference on Control Theory and Applications, ICoCTA 2023

作者： Deng, Xiuchang Lin, Binbin Shao, Weiming Huang, Bangcheng Xu, Liang School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9781839539824

Three-port photovoltaic energy storage system is a key technology in the field of photovoltaic power generation, which combines photovoltaic power generation and energy storage. Based on the research and application of bidirectional DC/DC converters, a three-port system is designed as a module. The system is designed by analyzing the actual working situation of the three-port photovoltaic energy storage system. The disturbance observation method and ampere hour integration method are used to achieve the maximum power point tracking of solar power generation, battery charge and discharge management, and other functions through coordinated control of the system. Finally, the closed-loop control between each module was simulated using MATLAB to verify the operating status of each working mode, verify the feasibility of the scheme. Finally, complete the experimental platform in the laboratory. © The Institution of engineering & technology 2023.

关键词： Maximum power point trackers

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Design of 12-bit 4 MS/s SAR ADC based on 40nm process 3

Design of 12-bit 4 MS/s SAR ADC based on 40nm process

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3rd international conference on computer technology, Information engineering, and Electron Materials, CTIEEM 2023

作者： Zhu, Bin Yang, Shoujun Lin, Haijun Chen, Junlong School of Opto-Electronic and Communication Engineering Xiamen University of Technology Fujian Xiamen China Co. Ltd. Fujian Xiamen China

ISBN: (纸本)9781510672925

This paper presents the design of a 12-bit 4 MS/s successive approximation register (SAR) analog-to-digital converter (ADC) based on the 40nm CMOS process. The internal structure of the ADC employs an "8MSB+4LSB"hybrid capacitive-resistive structure in the digital-to-analog converter (DAC) design to reduce layout area. The comparator circuit utilizes a dynamic comparator structure consisting of a cascade of three pre-amplifiers and a single latch, with output offset storage used to minimize comparator offset voltage. The layout design is symmetric to enhance device matching. In post-simulation under the conditions of 1.1 V analog voltage, a 941.40625 KHz input sine wave signal, and a 4 MHz sampling clock, the SAR ADC achieved an effective number of bits (ENOB) is 11.88 bits, a signal to noise and distortion ratio (SNDR) is 73.2941 dB, a spurious-free dynamic range (SFDR) is 89.4 dB, a power consumption is 1.18 mW, and a figure-of-merit (FoM) is 168.6 dB. © 2024 SPIE.

关键词： Comparators (optical)

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Improvement of AGC for Multi-Area Deregulated Power Systems with Integrated RESs using a modified TID. 3

Improvement of AGC for Multi-Area Deregulated Power Systems ...

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3rd IEEE international conference on Smart Technologies for Power, Energy and Control, STPEC 2023

作者： Vidyarthi, Prabhat Kumar Kumar, Ashiwani Shankar, Ravi National Institute of Technology Patna Electrical Engineering Dept Patna800005 India

ISBN: (纸本)9798350304732

This article's aim is to investigate how a restructured power system's automated generation control (AGC) demonstrates the intermittent character of renewable energy sources (RESs). The power plant under study incorporates many real-time nonlinearities, such as boiler dynamics, generation rate constraint (GRC), and governor dead band (GDB), in addition to three distinct energy sources - gas, hydro, and thermal - in each control region. Through various tie-lines, three controllers - TID, ID-T, and PID-T (proposed) - are applicable for both planned and unscheduled power under different contracts, including poolco, contract violation-based transactions and bilateral. In addition, RESs (such as solar and wind plants) is used for case study purpose. A new type of modified Proportional-Integral-Derivative-Tilt (PID-T) controller has been developed and compared with some existing controllers. A modified Sea-horse Optimisation (SHO) method has been presented for optimising the various parameters of the proposed controller. To demonstrate the SHO's superiority, a few popular meta-heuristic algorithms are compared to it. To check the robustness and flexibility of the recommended controller, analysis was done under a poolco-based transactions. The comprehensive study findings provide strong proof in favor of the proposed controller and optimization's effectiveness and efficacy. © 2023 IEEE.

关键词： Deregulated Power System Generation Control (AGC) Modified TID controller Non-linearity Renewable energy sources (RESs) Sea-horse Optimization (SHO)

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Selective Unlearning in Face Recognition: Forgetting Faces without Compromising Accuracy 3

Selective Unlearning in Face Recognition: Forgetting Faces w...

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3rd international conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023

作者： Nair, Adithyan M Kumar, Akshit Sudheer Kumar, Devakrishna Sanil Anjali, T. Amrita School of Engineering Department of Computer Science Amritapuri India

ISBN: (纸本)9798350343632

Facial recognition technology is increasingly being used in current applications ranging from smartphone unlocking to security and surveillance systems. This extensive adoption, however, has generated severe concerns about individual privacy and data policies. In response to these concerns, this study introduces a novel methodology that gives people more control over their data in facial recognition systems. This study's main contribution is the proposal of a strategy for selectively unlearning certain faces from trained facial recognition algorithms. An iterative model adaption approach is used to achieve this selective unlearning process. It becomes feasible to empower individuals to control the presence of their facial data in these systems by iteratively fine-tuning the model. This not only improves individual privacy but also conforms with ethical technology development standards. Furthermore, the methodology presented in this study is an important step towards improving privacy in the age of ubiquitous facial recognition. It tackles increasing concerns about surveillance, tracking, and unauthorized use of personal data by adapting and personalizing facial recognition algorithms to accommodate individual tastes. This study provides an innovative answer to the ethical and privacy concerns raised by facial recognition technologies. It empowers users to exercise greater control over their privacy and data in the face of increasingly prevalent facial recognition technologies by allowing them to selectively unlearn their data from training algorithms. © 2023 IEEE.

关键词： and Recognition Accuracy Face Recognition Model Adaptation Privacy Selective Unlearning

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Real-time Optimal Charging Strategy for a Fleet of Electric Vehicles Minimizing Battery Degradation 3

Real-time Optimal Charging Strategy for a Fleet of Electric ...

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3rd IEEE international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Rath, Subhajeet Medina, Róbinson Wilkins, Steven Powertrains Department Tno Netherlands Eindhoven University of Technology Electrical Engineering Department Netherlands

ISBN: (纸本)9798350319972

The electrification of the transportation industry has emerged as a promising solution to reduce automotive emissions. However, this transition presents various challenges, such as the limited availability of charging infrastructure, grid capacity, and the high total cost of ownership for Battery Electric Vehicles (BEVs), primarily due to the cost of the battery. This study proposes an algorithm that generates charging schedules for a fleet of BEVs during their operational period to address these challenges. The algorithm provides a time frame and charging power for all vehicles in the fleet, which can optimize the use of charging infrastructure, distribute the grid load throughout the day, and reduce BEV operational costs by extending the battery lifetime. The algorithm was tested in a realistic case study within the European project URBANIZED. Simulation results shows a saving of 13% on the total cost of charging. Furthermore, the algorithm's execution time was less than 160 seconds for a fleet of 200 vehicles, considered real-time for a fleet charging operation. In conclusion, this algorithm offers a viable solution to address challenges in the electrification of the transportation industry. Fleet managers can benefit from its cost saving benefits and efficient execution time, making it a promising tool for transitioning to BEVs. © 2023 IEEE.

关键词： Secondary batteries

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