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Generation of Chinese classical poetry based on pretrained model 2

Generation of Chinese classical poetry based on pretrained m...

引用

2nd International Conference on Big Data, Information and computer Network, BDICN 2023

作者： Wang, Ziyao Guan, Lujin Liu, Guanyu Ma, Jun Lanzhou University Dept. School of Information Science and Engineering Gansu Lanzhou China Huazhong University Line of Science and Technology College of Life Science Technology Hubei Wuhan China School of Computer and Cyberspace Security Communication University of China Beijing China

ISBN: (纸本)9798350321364

Chinese traditional poetry is an important art form, and it is a meaningful task to use artificial intelligence algorithm to generate poetry. In the past, researchers have proposed different generation algorithms, but these algorithms have some *** paper mainly tries to use BART and other pretrained models, proposes FS2TEXT and RR2TEXT to generate metrical poetry text and even specific style poetry text, and solves the problem that the user's writing intention gradually reduces the relevance of the generated poetry text. Finally, in order to test the effect of the algorithm, this paper imitates Turing test and finds more than 600 testers to distinguish the works generated by the algorithm from the works of real human poets, and the results show that they can't tell whether the work is from an algorithm or a *** shows that the algorithm proposed in this paper works well. © 2023 IEEE.

关键词： Deep learning

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A Low power Video Compression for Energy Starved Sensor Network Using Partially Fragmented Cosine Transform 2

A Low power Video Compression for Energy Starved Sensor Netw...

引用

2nd IEEE Mysore Sub Section International Conference, MysuruCon 2022

作者： Roy, Pulakesh Chaurasiya, Sandip K. Biswas, Arindam Banerjee, Rajib Kazi Nazrul University Dept. of Mining Engineering West Bengal Asansol India University of Petroleum & Energy Studies School of Computer Science Uttarakhand Dehradun India DR. B.C. Roy Engineering College Durgapur Dept. of Electronics and Communication Engineering West Bengal Durgapur India

ISBN: (数字)9781665497909

ISBN: (纸本)9781665497909

Wireless Multimedia Sensor Network (WMSN) is the latest trend of networks with its applicability in multimedia sensing and processing. However, there are some challenges in WMSN, such as lack of power consumption, the requirement of high bandwidth, and storage. In this paper, we propose a new video transmission system using the Partially Fragmented Cosine Transform (PFCT) technique to continuously track the disaster area's information. The proposed system has emerged with the modified DCT-based operation, which is computationally acute in Wireless Multimedia Sensor Networks. The frame-based correlation is measured by applying the PFCT over the selected frames. To reduce the transmitted data and save energy consumption a newly proficient routing technique was implemented along with PFCT by applying the proposed technique over an array of sensor nodes. At the final stage, a colorization model was also implemented to bring back the reconstructed frames with maintaining the quality of the frames. The performance of the proposed technique is measured by analyzing the energy consumption and peak signal-to-noise ratio (PSNR) and through the statistical analysis of the data. The supremacy of the proposed technique over other competing schemes is judged through the simulation results in terms of acceptable reconstruction quality while consuming a lower amount of power. © 2022 IEEE.

关键词： Image compression

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Stability of Grid-Forming Inverter on Tomia Island Microgrid

Stability of Grid-Forming Inverter on Tomia Island Microgrid

引用

IEEE Industry Applications Society Annual Meeting (IAS)

作者： Yunita Muharram Jinho Kim Eduard Muljadi R. M. Nelms Dept. of Electrical and Computer Engineering Auburn University AL USA Pacific Northwest National Laboratory Power System Research Engineer Richland WA

ISBN: (数字)9798350372717

ISBN: (纸本)9798350372724

Microgrids serve as a viable option to supply energy to inhabitants residing in Indonesia's isolated regions, including rural areas and small islands that are distant from the primary power grid. Consequently, the cost of building a transmission line in this region is exceedingly high. Tomia Island, located in the eastern part of Indonesia, relies on a microgrid with four photovoltaic power plants and a diesel generator to supply its electrical energy. This research examines the stability of a grid-forming inverter hybrid microgrid with solar and wind power plants in the Tomia Island microgrid as a means of reducing the amount of fossil fuels used by diesel generators. The microgrid experienced two disruptions: three-phase faults and a loss of PV generation. The stability of the microgrid was confirmed through PSCAD simulation. It was demonstrated that the use of a GFM inverter ensures stability in the microgrid, as evidenced by the voltage and frequency response of the system during various disturbances, including the loss of a major-rated power PV power plant and three-phase faults at the PV power plant located farthest from the system.

关键词： Microgrids Power system stability Inverters Stability analysis Generators Wind turbines PSCAD Power generation Thermal stability Grid forming

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Comparison of Fast Frequency Response Methods in the Low-Inertia Grid of Cyprus

Comparison of Fast Frequency Response Methods in the Low-Ine...

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International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED)

作者： Andreas Argyrou Savvas Panagi Petros Aristidou Dept. of Electrical & Computer Engineering & Informatics Cyprus University of Technology Limassol Cyprus Distribution System Operator Electricity Authority of Cyprus Nicosia Cyprus

ISBN: (数字)9798350375923

ISBN: (纸本)9798350375930

Modern electric power systems with high levels of penetration of renewable energy sources (RES) often present frequency security problems. The lack of inertia due to the reduced number of synchronous generators in these systems, in combination with the usual inability of RES to provide frequency support, leads to system operators having to curtail RES or rely heavily on Under Frequency Load Shedding schemes to ensure frequency security. Fast Frequency Reserves (FFR) have been proposed as a solution to strengthen the frequency support of the system and alleviate security problems. FFR allows mitigating Rate of Change of Frequency, Nadir, and post-fault frequency steady-state problems after an event. In this paper, we present, analyze, implement and compare five FFR controllers to alleviate frequency security problems in low-inertia grids. The low-inertia, islanded, Cyprus dynamic model is used to quantify the results and exhibit the impact on a real system.

关键词： Renewable energy sources Power system dynamics Load shedding Power system stability Synchronous generators Stability analysis Steady-state Security Frequency synchronization Frequency control

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Investigation of Fuzzy and SOM based Segmentation of High-Resolution Satellite Images in HSL Color Space for Information Retrieval

Investigation of Fuzzy and SOM based Segmentation of High-Re...

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International Conference on Advanced Computing and communication systems (ICACCS)

作者： P Ganesan B. S. Sathish L. M. I. Leo Joseph R. Murugesan G Sajiv A. Akilandeswari M. Gnanaprakash Dept. of Electronics and Communication Engineering Vidya Jyothi Institute of Technology Hyderabad India Dept. of Computer Science Engineering AI Sri Venkateshwara College of Engineering Bengaluru India Dept. of Electronics and Communication Engineering SR University Warangal Telangana India Dept. of Electronics and Communication Engineering Narshima Reddy Engineering College Secunderabad India Saveetha School of Engineering SIMATS Chennai India Sri Sairam Institute of Technology Chennai India

In the proposed article, an innovative approach for the segmentation of region of interest (ROI) based on fuzzy and neural network (SOM-self organizing map) is investigated. In image analysis, clustering is an unique imperative practice wherein the complete data is separated as group of pixels and/or regions using its features. A satellite image is huge collection information. Many approaches and algorithms suggested for the dissection of satellite imagesto extract the indispensable and hidden information. In this work, fuzzy based FCM, PCM, PFCM, MFCM and SOM is applied to the satellite images to retrieve the information. The proposed method transforms the image in RG to HSL model prior to clustering. HSL model has some distinct characteristics such as perceptual, intuitive, polar coordinated, approximate the vision. The segmentation result is validated with image quality measures.

关键词： Phase change materials Image quality Image segmentation Satellites Image color analysis Neural networks Transforms

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Outage Probability and Capacity of Decode and Forward Relaying under Hybrid RF-VLC Channels

Outage Probability and Capacity of Decode and Forward Relayi...

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Mobile Networks and Wireless communications (ICMNWC), IEEE International Conference on

作者： Naeem Rahim Ramesh Kumar Arsalan Ansari Dept. of Electronic Engineering DUET Karachi Pakistan Dept. of Computer System Engineering DUET Karachi Pakistan

ISBN: (纸本)9781665491129

This paper presents a system of two-hop hybrid communication system that uses a decode and forward relaying to share the data between source and destination. The radio channel is modeled through $\eta-\mu$ fading distribution due to versatile its nature to accommodate most of the different models of fading such as Rayleigh, Rician, and Nakagami-q fading. In this paper, the expressions of outage probability and channel capacity are derived of the proposed system using Meijer’s-G function. Numerical results are obtained and analyzed by simulating the derived expressions of considered system by varying the different fading parameters.

关键词： Wireless communication Channel capacity Rician channels Rayleigh channels Probability Power system reliability Numerical models

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Decentralized Spectrum Sharing Networks Based on Blockchains

Decentralized Spectrum Sharing Networks Based on Blockchains

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International Wireless communications and Mobile Computing Conference, IWCMC

作者： Shuyue Ai Yuna Jiang Qiang Li Xiaohu Ge Aduwati Sali School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan China Dept. of Computer and Communication Systems Engineering Faculty of EngineeringUPM WiPNET Research Centre

ISBN: (数字)9798350361261

ISBN: (纸本)9798350361278

The dynamic spectrum sharing technology in cognitive radio can effectively improve the utilization rate of spectrum and relieve the current spectrum pressure. To realize spectrum sharing without trust between SUs and PUs belonging to various operators, a decentralized spectrum sharing scheme based on blockchain is proposed in this paper. A latency model and a decentralization degree model of blockchain-enabled spectrum sharing network are formulated. Network scale law in this paper is defined as the change law of structure and scale in a network. Based on the proposed decentralization degree and latency model, the scale law of blockchain networks under the constraints of latency and decentralization is studied. The simulation analyzes the change of the proportion of consensus nodes in the blockchain network with different requirements for latency and decentralization. The results show that when blockchain networks have both low latency and decentralization characteristics, the upper limit of the total number of nodes is 390, and the value range of the proportion of consensus nodes is between 0.13 and 0.56.

关键词： Blockchains Cognitive radio Low latency communication Mobile computing

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A Vision-Based Autonomous AI Tic-Tac-Toe Manipulation system

A Vision-Based Autonomous AI Tic-Tac-Toe Manipulation System

引用

International Electrical engineering Congress (iEECON)

作者： Panjawee Rakprayoon Akechai Ounsiri Ratchanon Chongyoa Dept. AI Engineering and Data Science Faculty of Engineering Bangkok University Pathum Thani Thailand DNA ROBOTICS and Automation System Company Limited Pathum Thani Thailand Dept. Computer and Robotics Engineering Faculty of Engineering Bangkok University Pathum Thani Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

For an AI tic-tac-toe manipulator application, a real-time vision-based approach is proposed. The technique employs the RealSense camera to capture color and dept. images. Combining object detection and image processing techniques to identify X's and O's positions on the game board. However, we recognize that errors can occur during object movement when using only 2D images. To solve this problem, a calibration method between RealSense and the manipulator based on the point-to-plane ICP algorithm is presented. This method provides the 3D object position in the robot coordinate, resulting in increasing the accuracy from 86.25% to 97.25%. Our experiment shows that this technique is highly effective and can accurately identify position objects.

关键词： Three-dimensional displays Robot kinematics Robot vision systems Games Object detection Manipulators Real-time systems

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IoT based Cold Supply Chain for Food Processing

IoT based Cold Supply Chain for Food Processing

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Innovation in Technology (ASIANCON), Asian Conference on

作者： Abishek R Harish Chensudar K Lokesh R Jacob Paul P Kavitha Balamurugan Dept. of Electronics and Communication Engineering KCG College of Technology Chennai India Dept. of Computer Science and Engineering KCG College of Technology Chennai India Dept. of ECE KCG College of Technology Chennai India

Food is one of the essential needs for human survival. In the present era, there is a rapid increase in the population and emerging growth of technology in the developing countries around the globe. Due to the population increase, there is a demand for an abundant food supply. Most of the food products have a shorter shelf life. It is necessary to maintain food products at a certain temperature so that they can be preserved for a longer duration. There arises a necessity to develop a device that can monitor and maintain the food products. This research seeks to design a cold storage device that can monitor essential food storage specifications such as temperature, humidity, pressure, light and gas compositions like ammonia, methane, carbon dioxide and so on. The cold storage also alerts the user when a parameter passes through the threshold value. The cold storage device can be instated in a moving truck carrying food products as well as in a storage warehouse. It also has a Global Positioning system (GPS) module for the purpose of tracking the real time location of the transporting truck and it also provides a theft alert in the warehouse. Further the user can control the exceeded threshold value from any remote location.

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Multi-Task Bias-Variance Trade-Off Through Functional Constraints

Multi-Task Bias-Variance Trade-Off Through Functional Constr...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Juan Cerviño Juan Andrés Bazerque Miguel Calvo-Fullana Alejandro Ribeiro Dept. of Electrical and Systems Engineering University of Pennsylvania Philadelphia USA Dept. of Electrical and Computer Engineering University of Pittsburgh Pittsburgh USA Dept. of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain

Multi-task learning aims to acquire a set of functions, either regressors or classifiers, that perform well for diverse tasks. At its core, the idea behind multi-task learning is to exploit the intrinsic similarity across data sources to aid in the learning process for each individual domain. In this paper we draw intuition from the two extreme learning scenarios – a single function for all tasks, and a task-specific function that ignores the other tasks dependencies – to propose a bias-variance trade-off. To control the relationship between the variance (given by the number of i.i.d. samples), and the bias (coming from data from other task), we introduce a constrained learning formulation that enforces domain specific solutions to be close to a central function. This problem is solved in the dual domain, for which we propose a stochastic primal-dual algorithm. Experimental results for a multi-domain classification problem with real data show that the proposed procedure outperforms both the task specific, as well as the single classifiers.

关键词： Soft sensors Signal processing algorithms Signal processing Multitasking Acoustics Classification algorithms Task analysis

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