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Research on Cloud computing Architecture and Optimization of Human Resource Management System 2

Research on Cloud Computing Architecture and Optimization of...

引用

2nd IEEE international conference on Integrated Circuits and communication systems, ICICACS 2024

作者： Zhao, Rui Lei, Zhenhua Zhao, Ziyu Zhang, Dongshan University of South China School of Economics Management and Law Hunan Hengyang China Xiamen University Tan Kah Kee College Fujian Xiamen China Chengdu University of Tcm School of Medicine and Life Sciences Sichuan Chengdu China

ISBN: (纸本)9798350317558

This paper explores various cloud computing distributed technologies and constructs a SaaS cloud computing architecture for a human resource management system. Each module's functions within the system are detailed. To enhance information security management in the HRMS, the concept of information trust degree is introduced, improving retrieval speed. The effectiveness is tested, revealing a retrieval time of approximately 24s for 100 to 1000 information groups. The optimized information trust degree yields security coefficients of 98.83% and 96.86% for human resources information in sending and receiving endpoints, respectively. The utilization of SaaS cloud computing enhances HR management system efficiency, and information trust optimizes HR information security during transmission. © 2024 IEEE.

关键词： cloud computing architecture human resource management system information retrieval time information trust SaaS

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Brainwave Sensor based Smart Home Controller for Paralysed People 2

Brainwave Sensor based Smart Home Controller for Paralysed P...

引用

2nd international conference on Sustainable computing and Data communication systems, ICSCDS 2023

作者： Nandagopal, C. Sneha, B. Sriragavi, R. Veeradharshini, R. M.Kumarasamy College of Engineering Electronics and Communication Engineering Karur India

ISBN: (纸本)9781665491990

This study shows an electroencephalogram (EEG)-controlled smart home system designed to help the elderly, the crippled, and paralyzed individuals. For those who are paralyzed and experiencing mobility issues, it can be challenging to stay up with new technology improvements. Technologies for brain-computer interfaces provide a potential answer to this issue. This study demonstrates a brain-controlled, EEG signal-based home automation system that can assist persons who are physically challenged or paralyzed. A machine learning algorithm like the Random Forest algorithm, which is based on EEG signals, would be used in a home automation system for people with paralysis. To examine the brain's activity during the experiment, the EEG signal is retrieved. It can decipher brainwave patterns and transform them into instructions for operating various home appliances. The outcomes are consistent with the experiment's employment of the command, standby, focus, and running modes. The created solution is very likely to be employed in smart automation and is simple to apply in smart homes. © 2023 IEEE.

关键词： Automation

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Enhancing Security: A Hybrid Encryption Algorithm for Effective Key Generation 2

Enhancing Security: A Hybrid Encryption Algorithm for Effect...

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2nd international conference on Recent Trends in Microelectronics, Automation, computing, and communications systems, ICMACC 2024

作者： Jacob, Jeevan John Kiran, P.S. Shenoy, Jaigovind B Basavaraju, Sagar Amrita School of Computing Department of Computer Science and Engineering Bengaluru India Amrita School of Engineering Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350366570

The abstract Data security is of most importance, in the present day- the introduction of high-level wireless communication channels has led to generation and transfer of massive amounts of data. Data security must keep up with it. Data breach may cause disastrous outcomes. Previously, hardware security modules (HSM) were used to perform cryptographic actions- storing keys and for authentication. This is no longer feasible as HSMs are physical devices and become inconvenient to carry around all the time. The unavailability of HSM poses a serious security threat (for cryptographic keys). This paper aims at a novel software solution that compensates for hardware. As the algorithm focuses on securing keys used for encryption. It may be referred to as key security scheme (KSS). The paper proposes a way to generate keys instead of storing it and assumes performing of cryptographic actions on the available hardware in the system. The proposed method can secure data, both in transit and while at rest. © 2024 IEEE.

关键词： Encryption algorithms

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The Use of Game Theoretic Based Algorithms for Dynamic Resource Allocation in Vehicular Cloud computing systems 2

The Use of Game Theoretic Based Algorithms for Dynamic Resou...

引用

2nd IEEE international conference on Futuristic Technologies, INCOFT 2023

作者： Singh, Manpreet Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350308846

The broad use of virtualization of hardware, service-oriented architecture, autonomic and utility computing, and the availability of inexpensive processors and storage devices have all contributed to the expansion of cloud computing. Now that we live in the age of cloud computing, all autonomous vehicles may communicate with one another to increase travel security and motorist convenience. Collecting and storing massive volumes of data on traffic is a major difficulty posed by the idea of fully linked automobiles. We suggest combining cloud computing along with vehicular networks so that cars may pool their processing power, data storage, and communication channels. The suggested design has three clouds: one in each vehicle, one along the road, and one in the middle. To efficiently divide up cloud assets, a game-theoretic strategy is introduced. Resource reservation is used as a solution for virtual machine migration caused by vehicle movement. © 2023 IEEE.

关键词： and storage resources Dynamic resource allocation game theoretic based algorithm Traffic modeling vehicular cloud computing systems

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Human: Age and Gender Identification Using SFTA and Deep Learning Algorithm 2

Human: Age and Gender Identification Using SFTA and Deep Lea...

引用

2nd IEEE international conference on Device Intelligence, computing and communication Technologies, DICCT 2024

作者： Upadhyay, Shailja Joshika Malai Magal, B.V. Deepa, A. Sathyabama Institute of Science and Technology Dept. of Computing Science and Engineering Chennai India

ISBN: (纸本)9798350372847

Precision in ascertaining the gender and age of individuals stands as a central objective in the development of accessible and intelligent systems. This holistic approach comprises a symbiosis of cutting-edge CNN methodologies and advanced image enhancement techniques, marking a notable advancement in the realm of facial analysis. By combining the robust capabilities of CNNs with adaptive gamma correction, the model not only navigates the challenges of age determination but also stands as a testament to the continuous evolution of intelligent systems tailored for real-world applications. For validation and assessment, the proposed network undergoes rigorous training and testing procedures using the Adience (original) dataset. The integration of Segmentation-based Fractal Texture Analysis (SFTA) within the domain of deep learning, presenting a novel approach to texture analysis for image segmentation tasks. SFTA, a sophisticated technique, combines the power of fractal analysis with segmentation methods to provide a comprehensive understanding of complex textures in images. Through a series of experiments across diverse datasets, the research evaluates the performance of SFTA-based models against conventional methods. Results demonstrate that SFTA enriches the texture analysis process, leading to improved segmentation outcomes and robustness across varied image types. © 2024 IEEE.

关键词： Fractals

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Cloud computing in Enhancing the Efficiency and Integration of Alternative Energy systems 2

Cloud Computing in Enhancing the Efficiency and Integration ...

引用

2nd international conference on Computational Intelligence, communication Technology and Networking, CICTN 2025

作者： Sahoo, Amiya Kumar Prusty, Sucharita Jayasingh, Suvendra Kumar Swain, Asish Kumar Mohanta, Hemanta Kumar Aryan Institute of Engineering and Technology Odisha Bhubaneswar India Institute of Management and Information Technology BPUT Odisha Cuttack India

ISBN: (纸本)9798331530389

In response to growing environmental concerns and the need for sustainable development, alternative energy systems have emerged as crucial solutions to the problems associated with fossil fuels. This research focuses on the significant role cloud computing plays in improving the efficiency and integration of various alternative energy systems such as solar, wind, hydropower, biomass, geothermal, and tidal/wave energy. The study explores how cloud computing technologies enable real-time data processing, storage, and analysis of the large datasets generated by these renewable energy sources, thus optimizing their performance and integration into the energy grid. Cloud computing provides advanced data management tools that are vital for managing the variable and intermittent nature of renewable energy production. By utilizing cloud-based platforms, energy producers can achieve improved forecasting, load balancing, and energy distribution, which are essential for enhancing efficiency and reliability. Additionally, this research highlights how cloud computing fosters collaboration and innovation by offering a scalable and flexible infrastructure. This infrastructure supports the development of new technologies and applications within the renewable energy sector, promoting continuous advancements and breakthroughs. This research underscores the crucial role of cloud computing in advancing a sustainable energy future. © 2025 IEEE.

关键词： Cloud platforms

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Machine Learning Approaches for Predictive Channel State Information in MIMO systems Using LSTM 2

Machine Learning Approaches for Predictive Channel State Inf...

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2nd international conference on Advanced computing and communication Technologies, ICACCTech 2024

作者： Upadhyay, Deepak Sharma, Amulya Gupta, Mridul Devgan, Divyansh Garg, Shobhit Upadhyay, Abhay Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Electronics and Communication Engineering Dehradun India Graphic Era Deemed to be University Dept. of Management Studies Dehradun India

ISBN: (纸本)9798331519056

In this paper, we analyse machine learning models, including Long Short-Term Memory networks, to predict the CSI and evaluate their impact on adaptive transmission in MIMO systems. To achieve this objective, we use simulation to generate CSI data in a MIMO environment and compare the performance of ML models to traditional methods. Our simulation reveals using our dataset that LSTM models improve the SNR values significantly, which means that their predictions are more accurate. At the same time, these models require greater computational and other resources. In contrast, despite its relative inefficiency in comparison with LSTM, Decision Trees improve the SNR moderately while consuming fewer resources but needing a substantial amount of time. Analysis of the source tries to examine the balance between performance and resource usage may validate the use of ML-based methods, and especially LSTM, to predict the CSI advancedly, but the actual application must take constraints into account. © 2024 IEEE.

关键词： Contrastive Learning

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A Comprehensive Survey of Image Steganography 2

A Comprehensive Survey of Image Steganography

引用

2nd international conference on Sustainable computing and Smart systems (ICSCSS)

作者： Kalaiarasi, G. Sudharani, B. Jonnalagadda, Sharon Christiana Battula, Harsha Vardhan Sanagala, Bhavana Vignans Fdn Sci Technol & Res Dept ACSE Guntur Andhra Pradesh India

ISBN: (纸本)9798350391558;9798350379990

This research study analyzes the multidimensional landscape of steganography, examining its historical roots, theoretical background, contemporary approaches, and various applications. Beginning with a historical overview, this study investigates the evolution of steganography from its ancient roots to its present iterations in the digital world. Next, the study progresses towards analyzing the fundamental principles and theoretical frameworks that underpin steganographic systems, such as cryptography and digital signal processing. Finally, this study presents a thorough evaluation of contemporary steganographic technologies, which range from simple LSB (Least Significant Bit) substitution techniques to advanced adaptive algorithms and machine learning methods by including deep-learning based steganography and coverless steganography. Notably, this study identifies key challenges, including detection resistance, payload capacity, and robustness against attacks. Overall, this study presents a thorough understanding of steganography, emphasizing its significance as a versatile tool for communication in the digital era, while also highlighting the challenges that pave way for future innovations.

关键词： Image steganography Information hiding Convolutional Neural Network Steganography (CNN) Generative Adversarial Network Steganography (GAN) Stochastic computing

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Sign the Voice: An Embedded Software for Voice to Sign Language Translation 2

Sign the Voice: An Embedded Software for Voice to Sign Langu...

引用

2nd international conference on computing and Data Analytics, ICCDA 2024

作者： Peleo, Donna Lyn C. Patalay, Myra M. Cruz, Jesfer M. Dela Ramirez, Emmanuel A. College of Computing and Information Technologies National University Manila Philippines College of Computing and Information Sciences University of Technology and Applied Sciences Shinas Oman

ISBN: (纸本)9798331542573

This qualitative research study entitled Sign the Voice: An Embedded Software for Voice to Sign Language Translation aimed to bridge the communication barriers between hearing teachers and auditory-challenged students. This explored the current technologies used in the development of systems for Persons with Disabilities particularly the Deaf Community. This study aimed to develop an embedded software to translate in real-time a human's voice to sign language, making communication accessible between them. The researchers conducted interviews, focus groups, observation, and case studies. This study investigated the design process and usability of embedded software. Software testing and thematic analysis will then be conducted to test its effectiveness. The researchers considered the diverse needs of auditory-challenged students, real-time processing, and the accuracy of the translation to make sure the communication process is effective between hearing teachers and auditory-challenged students. Preliminary findings suggested promising results in terms of user satisfaction, highlighting the potential of the proposed embedded software to provide accessible communication between the hearing teachers and auditory-challenged students. The implications of this study will provide more IT opportunities for these auditory-challenged students, give diversity in the IT industry, and could lead to more opportunities for applied research by developing improved technological solutions. The cultural, societal, and ethical impacts of this proposed system were of high consideration. © 2024 IEEE.

关键词： Embedded software

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Research on Security System of Satellite-Ground Integrated Virtual Private Network in 6G 2

Research on Security System of Satellite-Ground Integrated V...

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2nd international conference on computing, communication, Perception and Quantum Technology, CCPQT 2023

作者： Cui, Xiao Gao, Yan National University of Defense Technology College of International Studies Nanjing China

ISBN: (纸本)9798350342697

To meet the security requirements of vertical industry applications in the 6G Satellite-Ground Integrated Network (SGIN), an intelligent and integrated security system is established by integrating various functions, devices, and systems. This system creates a comprehensive virtual private network (VPN) based on domain deployment. With its cost-effectiveness, controllability, and customization, it promotes the widespread and reliable application of future 6G to B VPN in classic scenarios of vertical industries. © 2023 IEEE.

关键词： Satellites

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