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检索条件"任意字段=3rd IEEE International Conference on e-Science and Grid Computing"

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evaluation of UHF Partial Discharge Measurements for SF6 and 20% C3F7CN / 80% CO2 Gas Mixture 3

Evaluation of UHF Partial Discharge Measurements for SF6 and...

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3rd ieee international conference on Dielectrics (ICD)

作者： Loizou, L. Chen, L. Liu, Q. Bautista, R. Fernandez Seltzer-Grant, M. Univ Manchester Dept Elect & Elect Engn Manchester M13 9PL Lancs England High Voltage Partial Discharge Ltd Manchester M50 2UW Lancs England

ISBN: (纸本)9781728189833

Sulphur hexafluoride (SF6), the most commonly used dielectric medium in gas insulated equipment, has an extremely high environmental impact. The power industry, being the main user, has been looking for a replacement gas in order to minimize carbon emissions arising from high voltage equipment. C3F7CN is considered as a potential SF6-alternative. A mixture of 20% C3F7CN and 80% CO2 has shown to have a comparable breakdown performance to SF6 under uniform field. However, partial discharge (PD) characteristics of the 20% C3F7CN / 80% CO2 gas mixture in comparison to SF6 have yet to be extensively studied. This paper investigates the partial discharge inception voltage (PDIV) and extinction voltage (PDeV) of the aforementioned gases under highly divergent fields. PDIV and PDeV values for both gases were found to increase with pressure but SF6 demonstrated higher PDIV and PDeV than the 20% C3F7CN / 80% CO2 gas mixture. A difference in the growth rate of PDs between SF6 and 20% C3F7CN / 80% CO2 has also been identified with the recorded phase-resolved partial discharge (PRPD) patterns.

关键词： Sulfur hexafluoride

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Cartoonify an Image using Open CV in Python 3

Cartoonify an Image using Open CV in Python

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3rd international conference on Intelligent engineering and Management, ICIeM 2022

作者： Kumar, Saurabh Bhardwaj, Utkarsh Poongodi, T. Galgotias University School of Computing Science and Engineering Greater Noida India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

The main objective is to put ahead a result for making over pictures or vids of real- global into animated prints (Cartoon Images) or Videotape. The concept of the paper is grounded on unique shots and vids which are converted to an art shape similar as oil. Amongst all the methods usable, the operation of a Generative Adversarial Network (GAN) known as Cartoon GAN may be used for the styling actual- world pictures that use two loss functions videlicet, glad loss and inimical loss for getting a sharp and clear image. This project would follow an OpenCV library within the python whilst making the layout. Python is the collections of libraries and it has multiplex libraries for real- world operations. One corresponding library is OpenCV and it is a move-platform library used for Computer Vision. It consists of operations like vid and photo taking pictures and processing. It's majorly used in photograph conversion, object finding, face popularity, and a couple of different operations. In this paper, companion diploma provident style for objects beginning from caricature film land is delivered;it's supported popular hypotheticals related to color and locales of objects in cartoon film land, the gadgets square degree usually drawn close to the center of the image, the history colorations that the greater hourly drawn near the perimeters of cartoon image, and additionally the item colorations a decrease quantum bit for the edges. © 2022 ieee.

关键词： Generative adversarial networks

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Programmed Dribble Water System Framework (ADIS) to identify soil moisture by using a Dirt Adhesive Sensor 3

Programmed Dribble Water System Framework (ADIS) to identify...

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3rd international conference on Intelligent engineering and Management, ICIeM 2022

作者： Kumar, Rohit Tripathi, Aanjey Mani Tyagi, Manik Galgotias University School of Computing Science and Engineering Greater Noida India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

The rise of water issues and the need for appropriate farm conservation strategies is a hot topic that should be addressed in all matters that are considered extremist. In this study it is proposed to have automated water management systems on farms. The proposed action is based on the Web of Things (IoT), which can be a cost-effective and responsive solution to farm needs. The pilot program, which is important for managing the surface water table, demolition and compiling the issue of a stable water structure, will be simplified and effective. This "Modified Dribble Water System Framework"project plans to create a duplicate water system framework. OPeNING the engine and CLOSING it to match the attractive soil *** the green regions, the use of water mixing techniques is focused. The potential increase in the use of these methods will reduce barriers and make the water system more sustainable. The proposed model consists of three phases: First, to identify soil fill levels. The resulting phase is the confirmation of its condition: dry or wet. The final and third phase are vehicle control. This project proposes to improve the Programmed Dribble Water System Framework (ADIS) to identify soil moisture by using a dirt adhesive sensor. In particular, ADIS uses the Moisture Sensor to shut down the water content of the pond and provide a logical response to the design based on the condition obtained. Using this reaction, ADIS determines whether the land should be passed or not. © 2022 ieee.

关键词： Soil moisture

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A tensor-based sub-mode coordinate algorithm for stock prediction 3

A tensor-based sub-mode coordinate algorithm for stock predi...

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3rd ieee international conference on Data science in Cyberspace, DSC 2018

作者： Huang, Jieyun Zhang, Yunjia Zhang, Jialai Zhang, Xi Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China School of Electronic Information Sichuan University Chengdu China

ISBN: (纸本)9781538642108

The investment on the stock market is prone to be affected by the Internet. For the purpose of improving the prediction accuracy, we propose a multi-task stock prediction model that not only considers the stock correlations but also supports multi-source data fusion. Our proposed model first utilizes tensor to integrate the multi-sourced data, including financial Web news, investors' sentiments extracted from the social network and some quantitative data on stocks. In this way, the intrinsic relationships among different information sources can be captured, and meanwhile, multi-sourced information can be complemented to solve the data sparsity problem. Secondly, we propose an improved sub-mode coordinate algorithm (SMC). SMC is based on the stock similarity, aiming to reduce the variance of their subspace in each dimension produced by the tensor decomposition. The algorithm is able to improve the quality of the input features, and thus improves the prediction accuracy. And the paper utilizes the Long Short-Term Memory (LSTM) neural network model to predict the stock fluctuation trends. Finally, the experiments on 78 A-share stocks in CSI 100 and thirteen popular HK stocks in the year 2015 and 2016 are conducted. The results demonstrate the improvement on the prediction accuracy and the effectiveness of the proposed model. © 2018 ieee.

关键词： Tensors

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Privacy Optimization in Sensors Based Networks With Industrial Processes Management 3

Privacy Optimization in Sensors Based Networks With Industri...

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3rd ieee international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Siddiqui, Ahmed F. Mishra, Sushruta Jena, Mondeep M. Sharma, Vandana Al-Khasawneh, Mahmoud Ahmad Alkhayyat, Ahmed Kalinga Institute of Industrial Technology Deemed to Be University India Computer Science Department Delhi NCR India School of Computing Skyline University College University City Sharjah United Arab Emirates College of Technical Engineering The Islamic University Najaf Iraq

ISBN: (纸本)9798350343274

The Internet of Things (IoT) also known as IoT has the potential that is required to revolutionize industries, this has been discussed in this research article. Advancements in technology have made devices affordable, efficient and reliable. Different sectors have already started to incorporate these devices into their operations to boost productivity, to minimize failure and downtime. They also use it to optimize resource utilization which is also an important factor. However, the use of these devices also has some security challenges which need to be handled. This research paper proposes a security model specifically designed for process management in the industries. The goal of this model is to find the vulnerabilities, to minimize the risks and threats. Also ensuring integrity, confidentiality and availability of processes is a part of the goal. This paper gives evidence from its implementation and trial apart from its explanation. During the implementation phase, the sensitive data achieved a 100% encryption rate, for protection. Also, integrity checks were conducted on 99.8% of data to guarantee data integrity. © 2023 ieee.

关键词： Cybersecurity

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The 2.0 Cost Benefit Analysis and its Application to the National Development Plan 2017 Methodology for evaluating electricity grid projects' benefits: current status and further improvements

The 2.0 Cost Benefit Analysis and its Application to the Nat...

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AeIT international Annual conference (AeIT)

作者： Carlini, enrico Maria Gadaleta, Corrado Terna Rete Elettr Nazl SpA Rome Italy

ISBN: (纸本)9788887237375

Since 2005, Terna have applied a technical-economic evaluation of the main electrical infrastructure planned in the National Development Plan by using a Cost-Benefit methodology based on the comparison of discounted costs and benefits. That evaluation have allowed the profitability index (IP) estimation in order to quantify and qualify the system utility. On 2013, Terna have undertaken a review of the Cost-Benefit methodology for the infrastructure evaluation in order to improve the information transparency. The new methodology (called ACB 2.0) has been deliberated on 4th November 2016 by the National Authority (AeeGSI 627/16/eel/r) and it is resulted in the following set of documents and actions: Annex n.3 to the NDP 2015: Development of the Cost-Benefit Analysis;Appendix C to the AeeGSI's Consultation Document dated 1st October 2015 and related Terna's feedbacks dated 3rd February 2016;eNTSO-e's Guideline for Cost Benefit Analysis of grid Development Projects dated February 2015;ACeR opinion n.01/2014 dated 30 January 2014 regarding Guideline for Cost Benefit Analysis of grid Development Projects eNTSO-e;eNTSO-e's Guideline for Cost Benefit Analysis of grid Development Projects, version dated 29 July 2016 published and submitted to ACeR. The ACB 2.0 has been applied the 1st time to the NDP 2017 evaluating for all the investment projects - which Capex is more than 25 M(sic) - the benefits for the electrical system. The first section of the paper provides an introduction on the perimeter of the analysis and the identification of benefit category, including the way to monetize them (where applicable). The second section presents the methodology applied to a few study cases, identifying benefits and its evaluation, System Utility Index (SUI similar to the known PI) and Net Present Value (NPV). The third section deals with the area in which Terna is investigating to catch further benefits introducing new category of benefits (not only electrical) that can be monetized

关键词： Cost Benefit Analysis (CBA) Security of Supply (SoS) Social economic Welfare (SeW) Renewable energy Sources (ReS) System Utility Index (SUI) preliminary evaluation of not only electrical benefit for infrastructures.

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Green Ports - Building a Shore Power Load Model for Simulation 3

Green Ports - Building a Shore Power Load Model for Simulati...

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3rd ieee international Power and Renewable energy conference (IPReCON)

作者： esteves, Joao Gouveia, Alexandre da Silva, Nuno Pinho Liu, Chang Qu, Bo Yang, Ping REN State Grid SA Ctr Invest Energia Lisbon Portugal China Elect Power Res Inst Co Ltd Dept Power Consumpt & Energy Efficiency Beijing Peoples R China Southwest Jiaotong Univ Sch Elect Engn Chengdu Peoples R China

ISBN: (纸本)9781665491754

With the ever-looming threat of global warming to all life forms, the world is putting effort to achieve carbon neutrality in order to avoid grave consequences to ecosystems worldwide. The maritime industry is part of the vectors able to influence significantly emissions of greenhouse gases. In fact, the maritime industry moves more than 80% of the World trade by volume, which makes it a large and growing source of global greenhouse gas emissions contributing to climate change. The Ships are also a source of pollution to the local communities living near the Ports due to their energy consumption when at berth. At the current date, the most common method to mitigate this problem is to provide the ships at berth electricity from shore side. This paper presents the project greenPORT, which aims to create an energy management system for a green energy Port. After a brief introduction, the state of the art and relevant standards related to shore power and green ports are discussed and then, a Port load curve model is presented. This load model, built through a statistical analysis of real data from the Port of Lisbon from the year of 2019, will form the backbone of a future green port management system.

关键词： green ports electrification of ports port shore power load modelling electric transport

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enhancing Application Placement in Cloud-Fog environment Based on Multicriteria Decision Making 3

Enhancing Application Placement in Cloud-Fog Environment Bas...

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3rd international conference on Advanced electrical engineering, ICAee 2024

作者： Arichi, Bochra Amraoui, Asma Dept. Computer science Tlemcen13000 Algeria Dept. Computer science Tlemcen13000 Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349351

Fog computing (FC) is a distributed infrastructure computing that extends cloud computing (CC) capabilities to the edge of the network, closer to where data is generated and consumed. This approach responds to the challenges caused by Internet of Things (IoT) applications, which generate massive amounts of data that are costly and time-consuming to send to the cloud for processing. By leveraging fog computing, the cloud's limitations were successfully addressed, such as unpredictable latency. However, this shift introduced a new challenge. One of these challenges is finding the best placement of applications on distributed fog devices. This paper outlines a study aimed at addressing this challenge by utilizing multi-criteria decision-making (MCDM) techniques, including the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This study aims to choose the most appropriate fog nodes for positioning and processing application modules. The simulation was carried out on the iFogSim simulator, and the findings indicate that the suggested technique provides significant improvements in placement time and latency in a fog computing environment. © 2024 ieee.

关键词： Fog computing

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Privacy Protection for Patient-Family Binding e-health System Three-Factor Authentication Key Agreement 3

Privacy Protection for Patient-Family Binding E-health Syste...

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3rd international conference on electronics, Communications and Information Technology, CeCIT 2022

作者： Meng, Lingzhe Zhu, Qilong Zhang, Yuanyuan Hubei University of Technology School of Computing Wuhan China

ISBN: (纸本)9798350331974

During the context of big data in Internet of Things, the e-health system provides patients with a flexible and convenient medical environment. However, the system still face various chanllenges, including how to protect the security of sensitive privacy information and serve patients better. In order to solve these security problems, scholars have put forward a lot of authentication schemes, but most of them still have security vulnerabilities. Moreover, most of schemes ignore the importance of family members in the e-health system. Family members participating in the system can not only concerned about the patient's condition in real time, but also assist doctors in treatment and improve efficiency of treatment. To solve these problems, there is an urgent need for a secure, efficient and family friendly scheme for e-health system which also can protect the sensitive data. So we proposed a scheme for patient-family binding the e-health system with three-factor authentication. In our scheme, biometric extraction is used to protect sensitive data in the scheme to further enhance the security of the scheme. Beside, this scheme allow family members to participate in the scheme after binding with the patient for assist the medical server treat the patient. Since the process of authorizing family members in this scheme is performed by the patient, there is no additional burden on the server. In addition, the server authenticates family member and patient through different phase, which facilitates the server to distinguish between patient and family member. Finally, we analyze the security of our scheme through real-or-random model. The performance analysis proves that the patient-family member binding scheme is more secure and efficient for the e-health system. © 2022 ieee.

关键词： Authentication

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Computational and Predictive Trust Game Model for Switching Process in fMRI 3

Computational and Predictive Trust Game Model for Switching ...

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3rd international Informatics and Software engineering conference, IISeC 2022

作者： Candemir, Cemre Demir, Aslihan Gonul, Ali Saffet International Computer Institute Ege University Izmir Turkey Ege University Medical Faculty Dept. of Psychiatry Izmir Turkey

ISBN: (数字)9781665459952

ISBN: (纸本)9781665459952

Game theory paradigms allow analyzing experimentally through simulating the cognitive processes required for social cognition, such as perception, learning and decision-making, and actions. In this paper, the trust game paradigm, which is an extensively used task, is studied for measuring the trust. First, the trust game is designed as an fMRI task and then the trust data is acquired by running the task with n=80 subjects. Additionally, a computational mathematical model is proposed to model the subject-specific decision-making behavior by learning the previous game trials and then computing the difference between the actual and predicted gain, i.e., the prediction error (Pe). The model is evaluated on two groups: depressed participants and healthy controls. The performance of the model is evaluated with the root mean square errors (RMSe) metric. The evaluation results show that even if the decision behavior of the participants exhibits different patterns, the proposed model can converge the actual gain fairly well with a low RMSe value. © 2022 ieee.

关键词： Decision making

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