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Analysis and Implementation of Crypto currency Arbitrage Strategies: A Data Structures Approach 3

Analysis and Implementation of Crypto currency Arbitrage Str...

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3rd international conference on electrical, electronics, Information and Communication Technologies, ICeeICT 2024

作者： Madhuja, C. Yadav, Sneha Sidhu, Samreen Aiswariya Milan, K. Amrita School of Computing Department of Computer Science & Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350369083

An arbitrage finder is a tool that helps users to earn profit from price differences in cryptocurrency trading across different markets or platforms. It offers opportunities to purchase an asset at a reduced cost in one location and resell it for a greater cost in another, enabling you to earn a profit. This project "ArbitrageXplorer"is a website that aims to educate users about cryptocurrencies and the market. It offers resources to help traders make informed choices without risking real money. A user-friendly simulation interface is used to provide users with the necessary knowledge to comprehend the dangers and the functioning of markets. The arbitrage finder is one of the primary features of "ArbitrageXplorer". To assist users in making strategic trading decisions, the "ArbitrageXplorer"shows the highest and lowest prices of assets in various markets. Users can also build and maintain their profiles enabling them to customize their trade journey and monitor their progress over time. The proposed project also focuses on educating users to confidently manage their assets and stay informed about the state of the market with the help of tools for managing notifications and portfolios. Being a reliable companion for both new and experienced traders, "ArbitrageXplorer"helps users as they prepare themselves towards the path to financial success. © 2024 ieee.

关键词： Profitability

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An approach to secure capacity optimization in cloud computing using cryptographic hash function and data de-duplication 3

An approach to secure capacity optimization in cloud computi...

引用

3rd international conference on Intelligent Sustainable Systems, ICISS 2020

作者： Magesh Kumar, S. Balasundaram, A. Kothandaraman, D. Auxilia Osvin Nancy, V. Sathish Kumar, P.J. Ashokkumar, S. Saveetha School of Engineering SIMATS Department of CSE Chennai Tamil Nadu India School of Computer Science and Engineering Centre for Cyber Physical Systems Chennai India SR University Warangal School of Computer Science and Artificial Intelligence TS India S.A. Engineering College Department of IT Chennai India Panimalar Engineering College Department of CSE Chennai India

ISBN: (纸本)9781728170893

Capacity Optimization in Cloud computing is a common term for innovations used to progress storage use by dwindling stored data. Crucial methodologies used for capacity optimization in cloud computing are data compression and data deduplication. Our paper focuses Capacity Optimization in connection with Deduplication procedures, which stare for redundancy in series of bytes across comparison windows by using cryptographic hash functions as identifiers of unique sequences, then the sequences are matched to the history of other such sequences, and when possible, the first uniquely stored version of a sequence is referenced rather than stored again. Our work shows better results for capacity optimization, which are most frequently found in backup/recovery storage, where storage of iterating versions of backups day to day creates a chance for lessening of space in cloud computing. Hence this study has recognized exploration hole as vast number of capacity of copy records on cloud frameworks from various clients. Consequently, to diminish the amount of work brought about by copied documents, SHA3 calculation has been proposed in this study, which makes the hash esteem for each record and discover the information intelligent compression for capacity streamlining on cloud framework. Our Work also includes Authentication, which is based on Cryptographic hash function and Secure Data Deduplication allows cloud storage and optimization of storage to employ data with concealment. © 2020 ieee.

关键词： Data compression

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The Impact of the Metaverse on Organizational Culture and Communication 3

The Impact of the Metaverse on Organizational Culture and Co...

引用

3rd international conference on Advance computing and Innovative Technologies in engineering, ICACITe 2023

作者： Ramachandran, K.K. Lakshmi, K.K. Singh, Jitendra Prusty, Anjana Panduro-Ramirez, Jeidy Lourens, Melanie DR. G. R. D. College of Science Management/Commerce/International Business India Dwaraka Doss Goverdhan Doss Vaishnav College The Department of English India Uttaranchal University Uttaranchal Institute of Technology India Sr University School of Sciences Telanagana Warangal India Universidad Tecnológica Del Perú Peru Durban University of Technology South Africa Deputy Dean Faculty of Management Sciences South Africa

ISBN: (纸本)9798350399264

A new idea called the "metaverse"depicts a virtual environment where users may interact, communicate, and do business in a completely immersive setting. Organizational culture and communication are anticipated to be significantly impacted as the metaverse develops and becomes more extensively used. The goal of this study is to examine how the metaverse affects corporate culture and communication by examining the existing research on the subject and carrying out novel research. According to the literature study, the metaverse has the potential to alter how companies' function by fostering more social engagement, cooperation, and communication as well as opening up new possibilities for distant work and virtual events. These results were backed by the findings of the original study, which also demonstrated that the metaverse had a beneficial effect on company culture and communication. The findings imply that in order to take advantage of the potential presented by the metaverse, companies need actively be ready for the changes it will bring about. © 2023 ieee.

关键词： Virtual reality

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Research on Optimizing Operation of Low Carbon economy in Comprehensive energy System Considering Demand Response and Stepped Carbon Trading 3

Research on Optimizing Operation of Low Carbon Economy in Co...

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3rd international conference on New energy and Power engineering, ICNePe 2023

作者： Wang, Huan Na, Zheng Liu, Jun Li, Shiyu Liu, Anqi Ye, Peng Shenyang Institute of Engineering Shenyang China Shenyang Power Supply Company State Grid Liaoning Electric Power Company Limited Shenyang China

ISBN: (纸本)9798350393224

The Integrated energy System (IeS) can utilize the complementary utilization of multiple energy sources to achieve industry energy-saving and emission reduction goals. The development of demand response and carbon trading mechanisms has brought new opportunities and challenges to the low-carbon operation of IeS. This paper introduces a carbon trading mechanism and constructs low carbon economic optimization model to study the impact of electricity to gas and demand response on promoting IeS carbon emissions reduction, improving system economic operation efficiency. By comparing and analyzing different carbon trading mechanisms and application scenarios, it is verified that this method can effectively reduce the investment and operating costs of the park, and reduce carbon emissions. The demand response has changed the electricity consumption plan of the original load, making the load distribution more in line with the power characteristics. As the proportion of demand response (DR) increasing, the operating cost of the IeS system shows a gradually decreasing trend. When the proportion exceeds 25%, the operating cost of the IeS system slows down. © 2023 ieee.

关键词： carbon trading comprehensive energy response optimize scheduling renewable energy requirement response

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Accomplishing Power Flow with UPQC in Distributed Generation System 3

Accomplishing Power Flow with UPQC in Distributed Generation...

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3rd ieee international conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2024

作者： Chapala, Shravani Kumar, P. Rajesh Kumar, P. Vinodh CVR College of Engineering Dept. of EEE Hyderabad India

ISBN: (纸本)9798350304329

The increasing integration of Distributed Generation (DG) into power networks has brought forth new challenges related to efficient power flow management and power quality. The Unified Power Quality Conditioner (UPQC) is a versatile device designed to address both voltage and current-related issues in DG systems. This paper explores the application of UPQC to optimize power flow within a DG system, ensuring smooth operation and enhanced reliability. Through comprehensive simulations, the study demonstrates how UPQC effectively manages power flow by compensating for voltage fluctuations, mitigating harmonics, and regulating reactive power, both in grid-connected and islanded modes. The results highlight UPQC's role in maintaining stable power flow while improving overall system efficiency, contributing to more resilient and balanced power distribution. By integrating UPQC, this research offers a robust solution to the challenges of power flow in DG systems, ensuring compliance with power quality standards and enhancing the performance of distributed energy resources. © 2024 ieee.

关键词： Battery system DG grid-connected Photovoltaic Renewable energy integration UPQC Wind

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SPOT: A low cost intelligent parking system for urban malls 3

SPOT: A low cost intelligent parking system for urban malls

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3rd international conference on Informatics and computing, ICIC 2018

作者： Olowolayemo, Akeem Alarood, Ala Abdulsalam Yap, Shee Niang Mantoro, Teddy Dept of Cognitive Science Faculty of Cognitive Science Human Development University Malaysia Sarawak Malaysia Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Department of Computer Science Faculty Science and Technology Sampoerna University Jakarta Indonesia

ISBN: (纸本)9781538669204

Manual searching for vacant parking spaces in shopping malls is a tedious process, especially during the weekends and public holidays. It is rather troublesome for consumers to drive around without any directions in search for an empty parking space. Previous studies have confirmed that majority of the drivers experience difficulties in finding a vacant parking space in multilevel car parks and often spend more than 10 minutes searching for parking lots on weekends and public holidays. Current solutions available are probably expensive to implement in terms of hardware and software requirements for shopping malls in developing economies such as Malaysia. Furthermore, the process of payment of parking fee at an Autopay machine is not only bothersome but avoidable. Although leaving a car park may not be as tedious as finding a vacant parking lot, it is still considered a time-consuming activity to most drivers. If given the chance, most people would choose to avoid the trouble of walking to an Autopay machine due to finding incessant long queues or shortage of change at the machine. Advanced societies have adopted Touch'n'Go system which is more convenient than the conventional Autopay system. However, developing economies like Malaysia are still using the manual parking as well as Autopay machine. This study presents a low cost intelligent parking system for developing countries shopping malls to mitigate the above challenges. The system provides an added safety and security measures to prevent crimes such as thefts, kidnapping, vandalism and accidents. The system proposed takes advantage of the fact that smartphones have become pervasive. © 2018 ieee.

关键词： Smart city

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Instantgrid: A framework for on-demand grid point construction

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3rd international conference on grid and Cooperative computing, GCC2004

作者： Ho, Roy S. C. Yin, K.K. Lee, David C. M. Hung, Daniel H. F. Wang, Cho-Li Lau, Francis C. M. Department of Computer Science The University of Hong Kong Hong Kong

ISBN: (纸本)3540235647

This paper proposes the Instantgrid framework for on-demand construction of grid points. In contrast to traditional approaches, Instantgrid is designed to substantially simplify software management in grid systems, and is able to instantly turn any computer into a grid-ready platform with the desired execution environment. experimental results demonstrate that a 256-node grid point with commodity grid middleware can be constructed in five minutes from scratch. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Computers

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Towards Verification-Driven Control Learning 3

Towards Verification-Driven Control Learning

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3rd international conference on Assured Autonomy, ICAA 2024

作者： Mitsch, Stefan DePaul University School of Computing ChicagoIL60604-2301 United States

ISBN: (纸本)9798331521011

The increasing use of machine learning in systems development means that guarantees about the behavior of learned components must be a vital part of the development process. In autonomous systems, these types of guarantees are not properties of a neural network in isolation but require analyzing its interaction with the operating environment. Open-loop verification addresses neural networks in isolation and is thus incapable of providing the required guarantees;closed-loop verification tools offer limited generality (e.g., finite time analysis) and include extensive correctness-critical code. Moreover, separating verification activities from development activities makes crossfertilization challenging. This paper sketches a framework to address these gaps with a logic-based approach for closed-loop theorem proving that references abstractions built from openloop analysis of neural networks. The framework combines theorem proving with runtime monitoring, neural network verification, and reward shaping for reinforcement learning. © 2024 ieee.

关键词： Reinforcement learning

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Data resource discovery in a computational grid

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3rd international conference on grid and Cooperative computing, GCC 2004 comprises of international Workshop on Information grid and Knowledge grid, IGKG 2004, international Workshop on Storage grid and Technologies, SGT 2004, international Workshop on Information Security and Survivability for grid, GISS 2004, international Workshop on Agents and Autonomic computing and grid enabled Virtual Organizations, AAC-GeVO 2004 and international Workshop on Visualization and Visual Steering, VVS 2004

作者： Jayasena, Sajindra Yee, Chin-Peng Song, Jie Stoelwinder, Abele See, Chong Wee Wong, Wai-Hong Singapore-MIT Alliance National University of Singapore 10 Kent Ridge Crescent 119260 Singapore Nanyang Center of Supercomputing and Visualization MPE Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Asia Pacific Science and Technology Center Sun Microsystems Inc Philippines Singapore Institute of management Open University Center Singapore

ISBN: (纸本)3540235787

A computational grid focuses on the effective sharing of computing resources instead of data resources over the grid. However, distributed or parallel scientific and engineering applications often require wide access to large amounts of data. The demands to serve data are often as important as computational resources. Therefore, our focus is on the discovery of data resources leveraging on existing computational grid management technologies. In this paper, we proposed a data resource discovery mechanism to allow the Sun grid engine to retrieve, index and monitor the metadata from Oracle 10g. In the implementation, we analyze the organization of metadata information in Oracle 10g - Oracle’s data grid solution, and the resource discovery mechanism in Sun grid engine, one of the widely used computational grid middleware. The proposed mechanism provides a unique method to share data resources in the same way as computational resources. This allows the computational grid to be better integrated with the data grid. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Metadata

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COVID-VIT: Classification of Covid-19 from 3D CT chest images based on vision transformer model 3

COVID-VIT: Classification of Covid-19 from 3D CT chest image...

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3rd international conference on Next Generation computing Applications, NextComp 2022

作者： Gao, Xiaohong Khan, Maleika Heenaye-Mamode Hui, Rui Tian, Zhengmeng Qian, Yu Gao, Alice Baichoo, Sunilduth Middlesex University Department of Computer Science London United Kingdom University of Mauritius Department of Software and Information Systems Reduit Mauritius Beijing 301 Hospital Beijing China Newham University Hospital Barts Health Nhs Trust A&e Department London United Kingdom

ISBN: (数字)9781665469548

ISBN: (纸本)9781665469548

This paper presents an explainable deep learning network to classify COVID from non-COVID based on 3D CT lung images. It applies a subset of the data for MIA-COV19 challenge through the development of 3D form of Vision Transformer deep learning architecture. The data comprise 1924 subjects with 851 being diagnosed with COVID, among them 1,552 being selected for training and 372 for testing. While most of the data volume are in axial view, there are a number of subjects' data are in coronal or sagittal views with 1 or 2 slices are in axial view. Hence, while 3D data based classification is investigated, in this competition, 2D axial-view images remains the main focus. Two deep learning methods are studied, which are vision transformer (ViT) based on attention models and DenseNet that is built upon conventional convolutional neural network (CNN). Initial evaluation results indicates that ViT performs better than DenseNet with F1 scores being 0.81 and 0.72 respectively. (Codes are available at GitHub at https://***/xiaohong1/COVID-ViT). This paper illustrates that vision transformer performs the best in comparison to the other current state of the art approaches in classification of COVID from CT lung images. © 2022 ieee.

关键词： Deep learning

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