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5th IEEE International Conference on computing, Power, and Communication Technologies, IC2PCT 2024

作者： Mehra, Devansh Vamsi, A. Sri Kavin, Prabhu Srm Institute of Science and Technology School of Computing College of Engineering and Technology Faculty of Engineering and Technology Department of Data Science and Business Systems Chennai India

ISBN: (纸本)9798350383522

CBDC-as-a-problem looks like a mania of interest from central banks and financial institutions all over the world. It may describe CBDC technology and CBDC technology development, the positive aspects of CBDC and its future perspectives as follows: The CBDC is linked to the existing banking systems in the past which was based on the past findings of the blockchain, DLT, etc., that possessed the qualities the previous ones did not have - security, trust, and transparency. Innovation, design and CBDC safety that falls below this paper are discussed in this section below. The paper proceeds to show several paths that central banks are taking to CBDC development given the regulation and changing dynamic of the financial world. However, the studies do not end there;information on the potential of CBDC for financial stability, monetary policy formulation trajectories, transaction privacy, and the role of banks is included. Given that in field of finance the CBDCs are becoming more and more important, this research paper shall ensure to provide consistent background to policymakers, financial institutions and society at large on CBDC and its structural implications. This guarantees that everyone is in the know so it will be possible for them to come up with compliant plans and decisions informed by the knowledge in this changing landscape that simply does not stop evolving. © 2024 IEEE.

关键词： CBDC DLT

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Fuzzy Aggregator Based Energy Aware RPL Routing for IoT Enabled Forest Environment

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Computers, Materials & Continua 2022年第8期72卷 4039-4055页

作者： S.Srividhya Suresh Sankaranarayanan Sergei A.Kozlov Joel J.P.C.Rodrigues Department of Data Science and Business Systems School of ComputingSRM Institute of Science and TechnologyChennai603203TamilnaduIndia Department of Networking and Communications School of ComputingSRM Institute of Science and TechnologyChennai603203TamilnaduIndia ITMO University St.PetersburgRussia Senac Faculty of Ceará FortalezaCEBrazil Instituto de Telecomunicações Covilhã6201-001Portugal

Forested areas are extremely vulnerable to disasters leading to environmental *** Fire is one among them which requires immediate *** are lot of works done by authors where Wireless Sensors and IoT have been used for forest fire ***,towards monitoring the forest fire and managing the energy efficiently in IoT,Energy Efficient Routing Protocol for Low power lossy networks(E-RPL)was *** were challenges about the scalability of the network resulting in a large end-to-end delay and less packet delivery which led to the development of Aggregator-based Energy Efficient RPL with data Compression(CAAERPL).Though CAA-ERPL proved effective in terms of reduced packet delivery,less energy consumption,and increased packet delivery ratio for varying number of nodes,there is still challenge in the selection of aggregator which is based purely on probability percentage of *** has been research work where fuzzy logic been employed for Mobile Ad-hoc Routing,RPL routing and cluster head selection in Wireless *** has been no work where fuzzy logic is employed for aggregator selection in Energy Efficient *** accordingly,we here have proposed Fuzzy Based Aggregator selection in Energy-efficient RPL for region thereby forming DODAG for communicating to Fog/*** here have developed fuzzy inference rules for selecting the aggregator based on strength which takes residual power,Node degree,and Expected Transmission Count(ETX)as input *** Fuzzy Aggregator Energy Efficient RPL(FA-ERPL)based on fuzzy inference rules were analysed against E-RPL in terms of scalability(First and Half Node die),Energy Consumption,and aggregator node energy *** the analysis,it was found that FA-ERPL performed better than *** were simulated using MATLAB and results.

关键词： Fuzzy logic aggregator IoT RPL routing wireless sensor network

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Building Flood Resilience: A 3D Simulation Game for Public Awareness

Building Flood Resilience: A 3D Simulation Game for Public A...

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2024 IEEE International Conference on computing, ICOCO 2024

作者： Kadir, Tuty Asmawaty Abdul Xuan, Desmond Yap Wen Nazri, Siti NurAishah Faculty of Computing Center of Artificial Intelligence and Data Science Universiti Malaysia Pahang Al-Sultan Abdullah Pahang Malaysia Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah Pahang Pekan Malaysia

ISBN: (纸本)9798331530303

This article presents the development and evaluation of "Flood," a 3D simulation game designed to enhance public awareness of flood safety measures. The game features two distinct phases: the Pre-flood phase, where players prepare for impending flood conditions, and the Evacuation phase, where they must navigate various hazards to reach safety. By utilizing the Unity platform, "Flood" immerses players in realistic scenarios that promote learning through engagement. Results from a survey of 20 participants indicate that the game successfully simulates flood situations, with 80% of respondents affirming its effectiveness in conveying essential flood awareness. The majority of players reported learning crucial safety measures, such as avoiding power lines and preparing emergency bags. Furthermore, feedback highlighted high levels of engagement, with 70% rating the game at the highest level of interest. ©2024 IEEE.

关键词： Disasters

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Automatic Sinhala News Classification Approach for News Platforms 7

Automatic Sinhala News Classification Approach for News Plat...

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7th IEEE International Conference on Engineering Technologies and Applied sciences, ICETAS 2020

作者： Kirindage, Gayashan Godewithana, Navod Sri Lanka Institute of Information Technology Faculty of Computing Department of Data Science Colombo Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Department of Software Engineering Colombo Sri Lanka

ISBN: (纸本)9780738105048

Because of generating various news articles in large scale, online sources moved into an automatic categorization mechanism. This research has been conducted using LDA topic modeling approach and using other classification algorithms to establish a news categorization solution. Sinhala news websites have only few news categories and do not have any relationships or hierarchies between the categories. Therefore, some users require to search manually and find the necessary articles which are in those categories. Purpose of this study is to build a news categorization model with categorization hierarchies for Sinhala news articles. The goals of the models are to identify the most suitable news category for a related news article and develop hierarchies using generated news categories and assign the news articles according to the hierarchical structure. The final experiments and evaluations show that the solution performs well to solve the automatic categorization problem in Sinhala news platforms. © 2020 IEEE.

关键词： Machine learning

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Developing a Visual Dashboard to Improve Research Activity Assessment 11

Developing a Visual Dashboard to Improve Research Activity A...

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11th International Conference on Computer, Control, Informatics and its Applications, IC3INA 2024

作者： Nur Rahman, Muhammad Zaki Prakasa, Esa Bijaksana, Moch Arif Bachelor of Data Science Faculty of Informatics Telkom University Bandung Indonesia Bandung Indonesia School of Computing Telkom University Bandung Indonesia

ISBN: (纸本)9798331542313

In research institutions, the ability to monitor and analyze publication output is crucial for assessing productivity and achieving strategic goals. This paper presents a dashboard designed to visualize and analyze publication data from a research center of the Indonesian public institution. The dashboard addresses several key questions: (1) whether the current number of publications is on track to meet the institution’s targets, (2) the comparison between journal and proceeding publications, (3) individual researcher productivity, (4) research group productivity, and (5) the collaborative efforts among researchers and groups. By leveraging this tool, stakeholders can gain insights into publication trends and identify areas for improvement. The findings reveal significant trends in publication types and collaboration patterns, offering a comprehensive overview of the institution’s research output. This study contributes to the understanding of research productivity metrics and their implications for strategic planning in academic research. © 2024 IEEE.

关键词： Collaboration Metrics Dashboard Visualization Publication data Research Productivity

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Pattern-based Wordiness Reduction System for Thai Texts 23

Pattern-based Wordiness Reduction System for Thai Texts

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23rd International Computer science and Engineering Conference, ICSEC 2019

作者： Tongtep, Nattapong Charoenporn, Thatsanee Prince of Songkla University College of Computing Phuket Thailand Musashino University Asia AI Institute Faculty of Data Science Tokyo Japan

ISBN: (纸本)9781728125442

In this paper, we propose a method and web application to reduce wordiness in Thai by adapting pattern-based analysis with wordiness initial corpus. The small amount of Thai text is gathered to create the initial corpus for grammatically analyzing the patterns of Thai wordiness. 18 wordiness have been decided to intensely analyze the co-occurrence, patterns contexts and construction rules. And 99 wordiness patterns are discovered for the experiments. The experiment has been done with 100 documents from Thai National Corpus by 15 students. For the user satisfaction which is analyzed from the questionnaire, users are highly satisfied with the use of the proposed system. And the wordiness reduction result of the experiment shows the effectiveness of the wordiness identification and reduction which the accuracy is 86.51%. The 13.49% of errors come from word segmentation and unknown words. Wordiness automatically corpus will be developed for further experiment in the future. © 2019 IEEE.

关键词： Information extraction Thai language Web application Wordiness

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An energy-efficient VM consolidation algorithm for cloud data centers 5

An energy-efficient VM consolidation algorithm for cloud dat...

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5th International Conference on Information science and Cloud computing, ISCC 2017

作者： Wu, Xiaodong Faculty of Mathematics and Computer Science Quanzhou Normal University Fujian Provincial Key Laboratory of Data Intensive Computing Quanzhou362000 China

Cloud data centers consume vast amounts of electrical energy all over the world. Energy conservation in data centers has become a severe problem. This paper presents an energy-efficient virtual machine (VM) consolidation algorithm for cloud data centers. The proposed policy exploits the average utilization of each VM to estimate the expected utilization of physical hosts. Then, the expected utilization, the actual utilization and the static threshold are combined together to determine whether a host is at the status of overloading or not. Some VM(s) on the overloading hosts are then selected for migration to avoid Service Level Agreements (SLA) violations. The results of the experiment show that the proposed algorithm can effectively reduce energy consumption while guarantee SLAs. © Copyright owned by the author(s).

关键词： Virtual machine

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GPU Cluster RDMA communication technology and congestion control 23

GPU Cluster RDMA communication technology and congestion con...

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4th International Conference on computing, Networks and Internet of Things, CNIOT 2023

作者： Liang, Guicai Daud, Siti Norbaya Ismail, Nor Alina Binti Built Environment & Information Technology SEGi University Damansara Malaysia Faculty of Data Science and Computing University Malaysia Kelantan Kelantan Malaysia

ISBN: (纸本)9798400700705

This paper discusses Remote Direct Memory Access(RDMA) communication technology and the congestion control methods for Graphics Processing Unit(GPU) clusters. The implementation methods of RDMA networks widely used in GPU clusters are studied. Three implementation modes including InfiniBand, iWARP, and RoCE are analysed with comparison of their performance and applicable environments. Then, based on the analysis of a new congestion controls algorithm, DBCC & CBFC algorithm, is proposed. This algorithm based on delay feedback control and credit flow control prevents network congestion or increased latency in GPU cluster RDMA networks. The working principles of the algorithm are introduced including calculating the adjustment amount of the sending rate, initializing the sender and receiver and mechanisms to handle packet loss and timeout. Experimental results show that the algorithm optimizes network performance with RDMA communication in GPU clusters, while avoiding congestion and minimizing packet loss. However, due to the limitation of experimental conditions, it is not possible to conduct more environmental tests. In practical application, the applicability of the algorithm needs to be carefully evaluated and adjusted according to the specific situations. © 2023 ACM.

关键词： Graphics processing unit

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Analysis of different phase change materials (PCMs) and wall material in a nano-circular space thermal energy storage (TES) system: A molecular dynamics approach

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International Journal of Thermal sciences 2025年 215卷

作者： Cao, Cheng Ali, Ali B.M. Hussein, Zahraa Abed Sawaran Singh, Narinderjit Singh Abdullaeva, Barno Zubair, Ahmad Salahshour, Soheil Baghaei, Sh School of Mechanical Engineering Changshu Institute of Technology Jiangsu Changshu215500 China Air Conditioning Engineering Department College of Engineering University of Warith Al-Anbiyaa Karbala Iraq Al-Manara College for Medical Sciences Amarah Maysan Iraq Faculty of Data Science and Information Technology INTI International University Persiaran Perdana BBN Putra Nilai Nila71800 Malaysia Department of Mathematics and Information Technologies Vice-Rector for Scientific Affairs Tashkent State Pedagogical University Tashkent Uzbekistan Central Labs King Khalid University AlQura'a Abha P.O. Box 960 Saudi Arabia Applied College Mahala Campus King Khalid University Abha P.O. Box 9004 61413 Saudi Arabia Faculty of Engineering and Natural Sciences Istanbul Okan University Istanbul Turkey Faculty of Engineering and Natural Sciences Bahcesehir University Istanbul Turkey Research Center of Applied Mathematics Khazar University Baku Azerbaijan Fast Computing Center Shabihsazan Ati Pars Tehran Iran

Thermal energy storage (TES) play a vital role in overcoming the fluctuating nature of solar thermal energy. To study and understand the performance of these systems, using new techniques such as computer simulations can be useful. In this article, a specific circular nanochannel containing a phase change material (PCM) is introduced and its thermal and mass performance are investigated. By using two types of PCM and three wall metals (platinum, copper, and aluminum) the effects of changing several geometric and thermodynamic parameters are evaluated. In general, two different plans are proposed and parameters such as thermal conductivity, heat flux, charging, and discharging time are defined and evaluated. The obtained results show that the use of paraffin reduces the phase change time from 1.36 ns to 1.21 ns. Geometrical investigations also show that increasing the diameter ratio leads to a decrease in heat flux. Increasing the velocity of argon atoms in the inner tube also leads to an increase in the mobility of atoms and as a result improves the heat transfer rate. Using copper, the thermal conductivity is 54.3 % and 13.5 % higher than platinum and aluminum. The maximum heat flux for the two proposed cases is about 1500 and 1285 W/m2, respectively. Increasing the velocity of argon atoms from 0.01 Å/fs to 0.05 Å/fs leads to a decrease in the phase change time from 1.12 ns to 1.15 ns. Regarding the type of PCM, paraffin performs better than the combination of water-hydrocarbon. © 2025 Elsevier Masson SAS

关键词： Copper

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An overview of uni- and multi-biometric identification of identical twins

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IEIE Transactions on Smart Processing and computing 2019年第1期8卷 71-84页

作者： Mohammed, Bayan Omar Shamsuddin, Siti Mariyam Hasan, Shafaatunnur UTM Big Data Centre IbnuSina Institute for Scientific and Industrial Research UniversitiTeknologi Malaysia Johor Malaysia Faculty of Computing UniversitiTeknologi Malaysia Johor Malaysia College of Science and Technology University of Human Development Sulaymaniyah Iraq

Biometric techniques can differentiate identical twins, and this makes the techniques a subject of interest. Studies on biometric techniques have been conducted in many disciplines. Unimodal biometric systems with twins, however, have issues including intra-class variations, noisy data, limited freedom levels, non-universality, vulnerability to spoof attacks, and intolerable rates of error. Several of these limitations are manageable through the use of multimodal biometric systems that combine the evidence brought by many sources of information. This survey highlights the relevant literature, the accessible datasets for research, and the subjects of uncertainty, and proposes future research. Copyrights © 2019 The Institute of Electronics and Information Engineers.

关键词： Biometrics

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