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检索条件"任意字段=International Conference on Advances in Data Science and Computing Technologies, ASDC 2022"

共 6589 条记录，以下是1-10 订阅

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international conference on advances in data science and computing technologies, asdc 2022

International Conference on Advances in Data Science and Com...

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international conference on advances in data science and computing technologies, asdc 2022

ISBN: (纸本)9789819936557

The proceedings contain 77 papers. The special focus in this conference is on international conference on advances in data science and computing technologies. The topics include: Effect of Dropout on Convolutional Neural Network for Hyperspectral Image Classification;state Derivative Optimal Control Law for Submersible Autonomous Robotic Vehicle in Steering Plane;ASR for Indian Regional Languages Using Fine-Tuned Wav2Vec2 Model;Intelligent Online Voting System for Twenty-First Century and Smart Cities 5.0: An Empirical Approach through Blockchain with ML Techniques;an Empirical Study on Credit Risk Assessment Using Ensemble Classifiers;audio Based Text Summarization Using Natural Language Processing;blockchain-Enabled Security in Vehicular Ad Hoc Network;stock Selection Using Ontological Financial Analysis;Prediction of Future Career Course of Students Through RF Algorithm;components of Information Diffusion and Its Models in Online Social Networks;a Comparative Study;development of a Residual Neural Network Architecture for the Detection of Diabetic Retinopathy in Retinal Fundus Images;prediction Markets Using Machine Learning;evaluation of Optimum Batting Order Based on Partnership Analysis Using Ant Colony Optimization Technique;identification of Rock Images in Mining Industry: An Application of Deep Learning Technique;evaluation of Teachers’ Performance Using Fuzzy Inferences System;a Detailed Analysis on Intrusion Detection Systems, datasets, and Challenges;object Detection Under Low-Lighting Conditions Using Deep Learning Architectures: A Comparative Study;terahertz Image Processing: A Boon to the Imaging Technology;developing a Talent Identification Model for Predicting Player Position in Football Using Machine Learning Algorithms;Survey of Various Machine Learning Techniques for Analyzing IoMT-Based Remote Patient Monitoring System;PSO-Based Traffic Signals in a Real-World City.

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An Intelligent Heterogeneous On-Orbit computing System for Optical Satellites 24

An Intelligent Heterogeneous On-Orbit Computing System for O...

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2nd international conference on advances in Artificial Intelligence and Applications, AAIA 2024

作者： Li, Weixing Wu, Jianghui Chen, Jun Wang, Shuai College of Electronic Science and Technology National University of Defense Technology Changsha China College of Electronic Science and Technology National University of Defense Technology Hunan Changsha China

ISBN: (纸本)9798400712883

Optical satellites with infrared, visible light, multi-spectral and hyper-spectral cameras, are effective means to achieve multi-targets surveillance. In the scenarios of ultra-high data rate and high temporal sensitivity, it is difficult to transmit high-volume data from the satellite to the ground due to the limited satellite-to-ground data transmission link. Therefore, on-orbit computing becomes a superior choice. In this paper, an intelligent heterogeneous system is proposed for on-orbit computing of optical images. Key technologies, including lightweight intelligent processing algorithms, intelligent heterogeneous platforms and distributed computing, are researched aiming at achieving high performance on-orbit computing. Compared with conventional computing, the proposed on-orbit computing system has advantages of low cost, low power consumption, high timeliness and high integration, providing support for the construction of an efficient intelligent space-based optical surveillance system. © 2024 Copyright held by the owner/author(s).

关键词： data transfer

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The interactive impact and integration of AI, big data, and cloud computing combined with photonics technology 2

The interactive impact and integration of AI, big data, and ...

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2nd international conference on Big data, Computational Intelligence, and Applications, BDCIA 2024

作者： Zeng, Changxi Xu, Yixuan Yang, Lei School of Computer Science Guangdong University of Science and Technology Dongguan China

ISBN: (纸本)9781510689053

This article aims to analyze the interactive impact and integration development trend of three technologies: artificial intelligence, big data, and cloud computing. Overview of its basic concepts and technical characteristics, analysis of its interconnections and impacts, the development of AI technology relies on the support of big data, and cloud computing provides powerful infrastructure and computing capabilities for the application of AI and big *** optical and photonics technologies have also played an important role in this fusion process, particularly in terms of data security and privacy *** analyzing the current integration status of these technologies in practical applications, such as intelligent transportation management, personalized medical and health services, further discussions were held on the challenges encountered in the process of technology integration, such as data security and privacy protection, and future development directions were also discussed. The analysis results indicate that the deep integration of AI, big data, and cloud computing will bring more innovation opportunities and development momentum to various industries, while also emphasizing the importance of strengthening interdisciplinary cooperation and improving laws and regulations to ensure that technological progress is balanced with social ethics and public interests. © 2025 SPIE.

关键词： Electronic health record

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Development of Digital Telecommunication to Analyse and Store Complex Media data: A Way to data Engineering 1

Development of Digital Telecommunication to Analyse and Stor...

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1st international conference on advances in Computer science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Pachigolla, Yesu Ratnam Pflugerville TX United States

ISBN: (纸本)9798331518578

In the era of digital world data flows are saturated with development of universal multifunctional system to solve problems and to optimise the computing resources. The information system is highly loaded with modern data and large number of resources. The user request and heterogeneity of the incoming streams can be evaluated using different types of multimedia services and its requirement for computing resources and its performance with the entire data. The incoming flow of data heterogeneity is considered as the distinctive feature of request in the modern information system to support different types of multimedia services in single platform. Large volumes of data and data heterogeneity Creates numerous problems related to data storage security and the speed of digital system. To address these challenges artificial intelligence technology can be used for execution of digital telecommunication complex for processing and storing the dynamic flow of data that are in multi format. The prospects and trends can be identified to develop these models based on the perspective characteristics. The development of digital communication with multi object analytic system for storing and analysing complex data with data engineering. An fuzzy based model is used for data processing with enhanced accuracy of 98%. © 2025 IEEE.

关键词： data Engineering data flow data storage digital telecommunication Fuzzy model processing

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A Hybrid Approach Using Cryptography and K-Least Significant Bit Steganography Algorithm in Cloud computing 1

A Hybrid Approach Using Cryptography and K-Least Significant...

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1st international conference on advances in Computer science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Goyal, Anshika Gupta, Bhumika VMSB Uttarakhand Technical University Dept. of Computer Science & Engineering Dehradun India G.B. Pant Institute of Engineering & Technology Dept. of Computer Science & Engineering Pauri India

ISBN: (纸本)9798331518578

The exponential growth of communication technologies has broadened the cloud computing ecosystem horizon to meet main communication needs. However, in-parallel upsurge in online attacks has alarmed industries to ensure optimal data security. The combination of steganography and cryptosystems has been recognized as an enhanced security model for data transfer among the main security systems now in use. In this paper, a hybrid approach using cryptography and K- Least Significant Bit Steganography algorithm in Cloud computing (HYBC-KLSBS-CC) are proposed. Initially, input text data is retrieved from cloud storage and compressed using Huffman Compression Coding (HCC) to reduce data size. The compressed data is then encrypted with a Hybrid Cryptography Algorithm (Hyb-MRFC-ALC), combining Modified Random Fibonacci Cryptography and Asymmetric Lightweight Cryptography to ensure robust encryption. Finally, encrypted data is embedded within an image using the K-Least Significant Bit (KLSB) steganography technique, providing additional layer of security. The proposed method enhances data confidentiality, integrity, and storage efficiency in cloud environments. The proposed HYBC-KLSBS-CC approach attains 26.89%, 29.49% and 18.64% lower PSNR and 26.89%, 29.49% and 18.64% lower MSE when analyzed through existing techniques like data security dependent on cryptography steganography related with OTP procedure and Huffman coding in the cloud environment (CS-OTP-CE), a novel hybrid cryptographic framework for secure data storage in cloud computing: Integrating AES-OTP and RSA with adaptive key management and Time-Limited access control (AES-OTP-RSA-CC) and Crypto-Stegno dependent model for securing medical information on IOMT platform (CS-SMI-IOMT). © 2025 IEEE.

关键词： Cloud platforms

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Job Generator for Evaluating and Comparing Scheduling Algorithms for Modern GPU Clouds 15

Job Generator for Evaluating and Comparing Scheduling Algori...

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15th international conference on Cloud computing and Services science, CLOSER 2025

作者： Konopa, Michal Fesl, Jan Beránek, Ladislav Department of Data Science and Computing Systems Faculty of Agriculture and Technology University of South Bohemia České Budějovice Czech Republic

ISBN: (纸本)9789897587474

The steep technological and performance advances in GPU cards have led to their increasing use in data centers in the recent years, especially in machine learning jobs. However, high hardware performance alone does not guarantee (sub) optimal utilization of computing resources, especially when the cost associated with power consumption also needs to be increasingly considered. As consequence of these realities, various job scheduling algorithms have been and are being developed to optimize the power consumption in data centers with respect to defined constraints. Unfortunately, there is still no known, widely used, parametrizable dataset that serves as a de facto standard for simulating scheduling algorithms and the resulting ability to compare their performance against each other. The goal of this paper is to describe a simple job set generator designed to run on modern GPU architectures and to introduce the newly created data set suitable for evaluation the scheduling algorithms. Copyright © 2025 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Scheduling algorithms

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Optimized Hybrid Cryptographic Technique Using Symmetric and Asymmetric Encryption for Cloud computing 5

Optimized Hybrid Cryptographic Technique Using Symmetric and...

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5th IEEE international conference on advances in Electrical, computing, Communication and Sustainable technologies, ICAECT 2025

作者： Suresh, R. Dayana, T.R. Nisha Vel's Institute of Science Technology and Advanced Studies Department of Computer Science Tamil Nadu Chennai India

ISBN: (纸本)9798350356236

Cloud computing (CC) is an expanding computing concept in which computing resources are given as Internetbased services. Security and confidentiality of cloud storage services are critical and pose a difficulty in cloud computing owing to loss of control over data and reliance on the cloud computing provider. While there is a big number of transmitting data in the cloud system, the risk of data access by attackers raises. CC requires encryption to maintain the privacy and security of data stored, processed, and transported on the cloud. Encryption ensures that confidential information saved in the cloud stays private and accessible only to authorized parties. The field of cryptography is continuously evolving to deal with current challenges in cybersecurity, confidentiality, and computing power. Optimizing encryption algorithms entails enhancing security, performance, and efficiency while reducing resource usage. This study suggests a optimized framework for encryption using RSA, an asymmetric key cryptography for key exchange and Advanced / Encryption Standard (AES), a symmetric key cryptography for bulk message encryption to improve the efficiency of encryption. The suggested models's performance evaluated with RSA with data Encrytpion Standard(DES) and RSA with BlowFish algorithms and the efficiency of RSA with AES is found to more in terms of Execution time, Throughput, memory usage and latency. © 2025 IEEE.

关键词： Sensitive data

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advances in Crop Monitoring technologies: A Comprehensive Review

Advances in Crop Monitoring Technologies: A Comprehensive Re...

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2025 international conference on Pervasive Computational technologies, ICPCT 2025

作者： Rawat, Divya Awasthi, Shashank Mishra, Manas Kumar Faizan, Ruby Uttaranchal University Uttaranchal School of Computing Science Dehradun India G.L. Bajaj Institute of Technology and Management Greater Noida India

ISBN: (纸本)9798331508685

Agricultural optimization and food security rely on effective plant monitoring. This essay probes the evolution and comparative analysis of modern technologies that are revolutionizing agricultural monitoring. In this paper, we show how artificial intelligence (AI), machine learning algorithms, and drones combined with the power of IoT sensors (smart agriculture) along rural data collection using remote sensing technologies will help to improve precision farm management by understanding the pros and cons in implementing these AI-driven new tools into smart devices capable of supporting higher crop yields and higher efficiency. Through a review of case studies and market trends, this article delves into how these technologies provide farmers with real-time data, predictive analytics, and actionable insights. Moral, monetary, and ecological reverberations of bonding these advances universally are likewise discussed. Ultimately, this comparative study to develop resilient and sustainable food production systems through the inclusion of modern technologies is an important opportunity for many difficult socioeconomic and climatic issues. © 2025 IEEE.

关键词： Smart agriculture

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Advanced Encryption Techniques for Protecting Sensitive data in Multi Cloud Architecture: A Security First Approach 1

Advanced Encryption Techniques for Protecting Sensitive Data...

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1st international conference on advances in Computer science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Anand, V. Saravanan, N. Mahendiran, A. School of Computing SASTRA Deemed University Tamil Nadu Thanjavur India Srinivasa Ramanujam Centre SASTRA Deemed University Tamil Nadu Kumbakonam India Thanthai Hans Roever College Tamil Nadu Perambalur India

ISBN: (纸本)9798331518578

'Cloud computing' refers to a broad range of computer ideas that include several PCs linked by a real-time transmission network, such the internet. Cloud computing is a new paradigm that has drawn a lot of attention from researchers recently due to its potential to lower computing expenses. This study compares RSA, AES, and a technique that combines both of them. The effectiveness of these methods is examined in relation to encryption and decryption times for various data set sizes. The experiment was designed to be replicable and was conducted on standardised devices using the Mathematical writing and analysis tool, which is based on the Wolfram Language. In this experiment, encryption and decryption speeds were tested and compared for data sizes ranging from 64 to 176 bytes. As a second indicator of the algorithms' performance, the number of iterations each algorithm completed was also counted. The results demonstrate that AES had the fastest encryption and decryption times, and that the hybrid model had the greatest features of both RSA and AES in terms of speed and security. With encryption times of 0.10 ms and 0.20 ms for 64-byte and 176-byte data, respectively, the hybrid approach provided a balanced performance. AES outperformed RSA in throughput by up to 4 times and the hybrid technique by up to 2 times. According to these results, the hybrid technique successfully strikes a balance between speed and security, even though AES is best for speed. © 2025 IEEE.

关键词： Cloud computing Decryption Encryption Hybrid RSA

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Role of Quantum Cryptography in Securing Communication Channels in Industry 4.0 1

Role of Quantum Cryptography in Securing Communication Chann...

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1st international conference on advances in Computer science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Patil, Sonal Pramod Sankaran, Vikram Nattamai Lamsoge, Kalpit Alagarsundaram, Poovendran Howard, Eric Guduru, Prasanna G H Raisoni College of Engineering and Management Pune India Innovation Consultant Maharashtra Nagpur India Humetis Technologies Inc KingstonNJ United States Macquarie University Department of Physics and Astronomy Australia National Sanskrit University Department of Computer Science Andhra Pradesh Tirupati India Atlanta GA United States

ISBN: (纸本)9798331518578

In the context of Industry 4.0, which is characterised by networked systems, Internet of Things devices, and cyber-physical networks, quantum cryptography is essential to strengthening communication channels. In contrast to traditional cryptography techniques, quantum cryptography uses quantum physics concepts, notably quantum key distribution (QKD), to provide unmatched security. By taking advantage of the quantum property of superposition and measurement-induced disruption, QKD offers tamper-evident key exchanges, protecting data from efforts at eavesdropping. This guarantees that any communication interception causes system disruption and warns users of possible dangers. Quantum cryptography reduces the risks associated with traditional encryption techniques in Industry 4.0, as sensitive data moves across automated systems, smart factories, and decentralised supply chains. This is especially true as quantum computing advances. Industries can attain strong data integrity, confidentiality, and resistance against new cyberthreats by incorporating quantum-secured channels, opening the door for a dependable and safe digital transformation. This presentation highlights how quantum cryptography is revolutionising the security paradigms of Industry 4.0. © 2025 IEEE.

关键词： Supply chains

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