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检索条件"任意字段=13th IEEE International Conference on Engineering Complex Computer Systems"

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Under Voltage Load Shedding Algorithm using Fast Voltage Stability Index (FVSI) and Line Stability Index (LSI) 13

Under Voltage Load Shedding Algorithm using Fast Voltage Sta...

引用

2021 ieee 13th international conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2021

作者： Pacis, Michael C. Antonio, Ian Johnathan M. Banaga, Isaiah John T. Mapua University School of Electrical Engineering Manila Philippines

ISBN: (纸本)9781665401678

As demand grows and grids become complex, voltage stability has been researched throughout the years. A problem occurs if loads, particularly reactive loads are greater than generation, which causes the voltage to drop and could affect the entire grid. An Undervoltage Load Shedding (UVLS) scheme is one of the ways to prevent such scenarios from happening. Using MATLAB to interface and process data from OpenDSS we used an ieee 39 bus model, and use FVSI and LSI stability indices to determine which loads to shed when undervoltage condition occurs. From the results and statistical treatment with t-value around 0.498353 to 0.908307 which is lower than the 95% confidence interval of ±1.986675, it can be concluded that the system performance after load shedding does not significantly differ than the base case, hence it is considered stable after the said load shedding is performed. © 2021 ieee.

关键词： Electric power plant loads

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Effects of Social Conditions in a Virtual Exergame for Cognitive Rehabilitation in Multiple Sclerosis

Effects of Social Conditions in a Virtual Exergame for Cogni...

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ieee international conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Keivan Ameri Edoardo Battegazzorre Chiara Galletti Andrea Bottino Jessica Podda Andrea Tacchino Giampaolo Brichetto Lorenzo De Michieli Giacinto Barresi Department of Control and Computer Engineering Politecnico di Torino Turin Italy Rehab Technologies Lab Istituto Italiano di Tecnologia Genoa Italy Scientific Research Area Italian Multiple Sclerosis Foundation Genoa Italy

Rehabilitation is essential for individuals with multiple sclerosis (MS) to improve their quality of life and mitigate the progression of the disease. Cognitive deficits, which commonly affect MS patients, significantly impact daily functioning and well-being. this paper focuses on the development of a digital version of the Tangram puzzle using virtual reality (VR) to promote logical reasoning, attention, and social interactions to enhance engagement in cognitive rehabilitation for MS patients. the developed simulation integrates social presence in the form of a non-playable character (NPC) intending to improve player performance and motivation to ultimately promote engagement and adherence to treatment. A user study involving different game modes with the NPC in either a supporting or interfering role, was conducted to evaluate the effectiveness and usability of the Tangram VR exergame. After collecting and analyzing questionnaire scores and performance data, our results suggest that the application was well-received by users, and the introduction of an NPC had an impact in terms of execution times and sense of frustration, depending on its behaviour. Nonetheless, only a limited set of significant differences between modes was found, suggesting that further study is necessary to validate the results fully.

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An Ensemble-based Neural Network Model for Natural Disaster in 2019

An Ensemble-based Neural Network Model for Natural Disaster ...

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ACS/ieee international conference on computer systems and Applications

作者： Vartika Bhadana Pooja Pathak Anand Singh Jalal Ashish Sharma Bhisham Sharma Imed Ben Dhaou Department of Computer Application and Engineering GLA University Mathura Department of Computer Engineering and Applications GLA University Mathura UP Department of Computer Science & Engineering Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Science Hekma School of Engineering Computing and Informatics Dar Al-Hekma University Jeddah Saudi Arabia

Recently, all have witnessed a rapid growth of COVID-19 coronavirus worldwide. the calculation of COVID-19 time-series prediction is done using many techniques like compartment models, machine learning models (ML), and deep learning models. therefore, in this paper, the authors have proposed an ensemble-based neural network model. Neural networks (NN), along with non-linear autoregressive (NAR) functions, fitting neural networks (FITNET), or fuzzy systems, are widely used in time-series forecasting. the responses of NAR, FITNET predictor modules are aggregated using fuzzy logic, which improves the final prediction by intelligently integrating outputs of different modules. the whole model was put to the test in terms of forecasting the coronavirus time series in India, at 13 States. In the validation data set, results of ensemble NN models with fuzzy response integration demonstrate extremely better-predicted values. Overall, the results reveal that a modular neural network with fuzzy (MNNF) beats all other approaches in performance metrics, like Root Mean Squared Error (RMSE). Prediction errors of ensemble NN i.e., MNNF are much smaller than those of classic monolithic neural networks, showing advantages of the method proposed. the model provides the prediction for the upcoming 8 days.

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ChronicNet: Randome Forest Classifier-based Chronic Heart Failure Detection with CNN Feature Analysis

ChronicNet: Randome Forest Classifier-based Chronic Heart Fa...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Dronadula Malleswari Bolla Jhansi Vazram Rafi Shaik Department of Computer Science & Engineering Narasaraopeta Engineering College Narasaraopet Andhra Pradesh India

ISBN: (数字)9798350305463

ISBN: (纸本)9798350305470

Chronic heart failure (CHF) is a common illness that affects the heart. the conventional machine learning and deep learning algorithms failed to identify CHF in the early stages. So, this work implemented the ChronicNet by combining the properties of both deep learning and machine learning. this study is all about creating a network for finding out CHF from sound recordings of the heart. these are called phonocardiogram data, or PCG. the first step, which is noise removal, signal boosting, and dividing parts, makes sure that heartbeat sounds are of good quality. We use Mel and pitchbased coefficients (MFCC) to analyze the frequency changes in a heartbeat signal. this helps pick out features that show what makes CHF heart disease more special. the convolutional neural network (CNN) feature extraction, using deep learning, helps the MFCC automatically find out special features on its own. the Random Forest classifier (RFC) is used to build a model that can predict CHF faster. In groups with problems to classify, the RFC uses a set of decision trees. this gives benefits such as holding up, fitting to big sizes, and being highly accurate. the proposed system uses CNN features to find CHF from PCG data and correctly identify it using RFC. the simulation results show that the proposed ChronicNet outperformed traditional approaches with 98.84% accuracy.

关键词： Deep learning Heart Heart beat Noise Feature extraction Convolutional neural networks Cardiovascular diseases

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A Miniaturized UWB Planar Patch Antenna for Short Range Wireless Applications

A Miniaturized UWB Planar Patch Antenna for Short Range Wire...

引用

international conference on Electrical and computer engineering (ICECE)

作者： Rubina Parveen Mahfujur Rahman Department of Electronics and Communication Engineering Hajee Mohammad Danesh Science and Technology University Dinajpur Bangladesh

ISBN: (数字)9798331531782

ISBN: (纸本)9798331507923

this article presents the design and performance analysis of a highly efficient ultra-wideband (UWB) antenna for short-range wireless applications. It operates in the frequency range from 3.92 GHz to 23.94 GHz and resonates at 6.73 GHz, 14.75 GHz, and 21.7 GHz. the designed antenna features an innovative and compact structure of $12 \times 20 \times 1 \mathrm{~mm}^{3}$, modeled on a Rogers RT5880 (lossy) substrate material that yields minimal loss and high radiation efficiency (beyond $80 \%$) across the entire operating spectrum. the maximum radiation efficiency of $94 \%$ is attained at 5.2 GHz. the antenna exhibits consistent radiation characteristics with the highest gain and directivity values of 3.7 dBi and 4.6 dBi respectively. the design is particularly compatible with ultra-wideband (UWB), Ku band, and some of the K band making it suitable for modern short-range wireless communication systems. It offers a significant improvement in bandwidth and efficiency.

关键词： Wireless communication Resonant frequency Bandwidth Radar antennas Ultra wideband antennas Ku-band Resonance Ultra wideband radar Substrates Antenna radiation patterns

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Network Design and Optimization of Logistics Supply Chain Based on Optimization Algorithm

Network Design and Optimization of Logistics Supply Chain Ba...

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international conference on Communication systems and Network Technologies (CSNT)

作者： Chenjing Yao School of Economics and Management Shaanxi Fashion Engineering University Xian Shaanxi China

ISBN: (数字)9798350305463

ISBN: (纸本)9798350305470

With the growth of global trade and the intensification of market competition, the importance of logistics supply chain has become increasingly prominent. However, the traditional logistics supply chain is facing many problems in terms of operating efficiency, operating cost and service quality. therefore, this paper proposes a logistics supply chain network design method based on the optimal strategy, and compares the designed logistics network with the traditional logistics network to find out its advantages. And on this basis, this paper proposes an improvement plan to improve system efficiency, reduce system cost, and improve system service quality. the research purpose of this thesis is to discuss how to use the optimal algorithm to design and optimize the logistics supply chain network. Optimizing the logistics supply chain can greatly improve the operating efficiency of the enterprise, and at the same time enable the enterprise to better adapt to the needs of customers. this is of great practical significance to enhance the competitiveness of Chinese enterprises and promote the sustainable development of our country's economy and society.

关键词： Technological innovation Costs Communication systems Design methodology Supply chains Customer satisfaction Transportation

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Interconnected web platform with autonomous robots for helping patients in ICU sections 13

Interconnected web platform with autonomous robots for helpi...

引用

13th international conference on Electronics, computers and Artificial Intelligence, ECAI 2021

作者： Goga, Nicolae Radu, Mihai Daniel Vasilateanu, Andrei Pavaloiu, Bujor Hang, Alexandru Popa, Ramona Trocmaer, Ana Scurtu, Diana University Politehnica of Bucharest Faculty of Engineering in Foreign Languages Romania

ISBN: (纸本)9781665425346

Smart devices play an important role in today's society, from TVs, to vacuum cleaners, people are starting to automate more and more their daily activities. Given that the pandemic context has forced humanity not to limit itself to existing conditions, but to find new solutions in order to get over it, a special attention has been paid to the medical area. In this context, it was observed that most of the time the medical staff was overwhelmed by the large masses of patients from the ICU wards who required more attention and constant complex care. through this paper we aim to identify the current needs of the medical sector and, based on our analysis we will propose a possible solution to reduce the overload of ICU departments. At the same time, we will focus on the impact of the pandemic on communication and interpersonal relationships, analysing the case of patients unable to connect with their families. Finally, the focus will be on the possible implementation of a solution that meets all quality standards and norms in order to be used in hospitals and to help medical staff, patients and families. © 2021 ieee.

关键词： Vacuum cleaners

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Development of a Novel Extendable Damped AC Testing System

Development of a Novel Extendable Damped AC Testing System

引用

ieee international conference on Power and Energy systems (ICPES)

作者： Qian Li Qichao Li Kai Yi Bin Chang Li Wang Lei Jin Ningxia Electric Power Energy Technology Co. LTD Yinchuan China School of Electrical Engineering Xi’an Jiaotong University Xi’an China

this paper proposes a novel extendable damped AC (DAC) generator based on voltage multipliers, which could be employed for partial discharge (PD) testing of power cables. the traditional DAC generator is extremely difficult to extend to a higher voltage level due to the traditional HVDC source, while the circuit topology proposed in this paper simply needs to increase the number of the stage of the VM so as to increase the output voltage level. All the diodes in the traditional VM are replaced with HV switches consisting of series-connected IGBTs with anti-parallel diodes. this paper formulates the detailed implementation of the proposed DAC generator circuit applied to a 10 kV cable. the high-frequency inverter power supply is used as the power source to increase the charging speed during the charging process. Each stage of voltage multipliers is composed of two circuit boards to enhance its extensibility. the practicality of this novel generator has been proved through experiments on a 1400-m cable. Finally, in order to prove its expansibility, two more stages are added to the designed two-stage voltage double circuit to increase the output voltage from 30kV to 60kV.

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An Automated Parameter Design Framework for Flexible Interconnection Devices in Distribution Networks

An Automated Parameter Design Framework for Flexible Interco...

引用

ieee international conference on Power and Energy systems (ICPES)

作者： Liqiang Yuan Jingfeng Wang Minghao Zheng Kainan Chen Chao Sheng Zhengming Zhao Department of Electrical Engineering Tsinghua University Beijing China China Southern Power Grid Technology Co. ltd Guangzhou China

Flexible Interconnection Devices (FIDs) have various functions, such as power flow control, fault isolation, and power quality improvement, showing great potential for applications in distribution networks. Appropriate system parameters are crucial to ensure the normal operation and good performance of FID. However, the parameter design of FID includes multiple optimization objectives, multiple constraints and various operating modes, and traditional manual design methods face challenges under such complexity. this paper presents an efficient automated design framework for parameter design of FID, based on model simulation and genetic algorithm. the proposed framework reduces the burden of manual mathematical derivation and improves accuracy through purely simulation-based model solving, and multiple measures are taken to enhance the calculation speed. By employing genetic algorithm to deal with multiple optimization objectives and constraints, it caters to dual operating modes of FID and optimizes both main circuit parameters and control parameters to obtain a loss-volume Pareto frontier. the automated design results are validated through simulations, demonstrating significant advantages over traditional manual design methods.

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Research on Intelligent Dispatching Optimization of New Energy Grid Considering the Impact of Wind Power

Research on Intelligent Dispatching Optimization of New Ener...

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international conference on Communication systems and Network Technologies (CSNT)

作者： Jingdong Wang Xu Ding Fanqi Meng Guangqiang Qu School of Computer Science Northeast Electric Power University Jilin China

ISBN: (数字)9798350305463

ISBN: (纸本)9798350305470

Wind power has strong instability and stochasticity, which bring great challenges to the grid dispatch operation system. In order to make up for the shortcomings of existing studies that neglect the uncertain out-of-set risks and fail to fully consider the demand flexibility, there is an urgent need to establish a new grid intelligent scheduling system. therefore, this paper firstly analyses the characteristics of wind energy, describes the impact of wind energy on the new energy grid, and summarises and introduces the planning method of the grid accessed by wind power. then, it fully utilises the advantages of artificial intelligence algorithms and classical mathematical algorithms and proposes an optimisation model for new energy grid dispatch containing wind power with an improved particle swarm algorithm. It effectively reduces the risk of distribution grid scheduling and can provide guidance for realising more efficient and stable new energy grid scheduling containing wind power.

关键词： Renewable energy sources Uncertainty Wind energy Wind power generation Market research Power grids Mathematical models

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