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Energy Efficient Communication using Enhanced Cat Swarm Optimization Algorithm

Energy Efficient Communication using Enhanced Cat Swarm Opti...

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2023 international conference on Evolutionary algorithms and Soft computing Techniques, EASCT 2023

作者： Avv, Sudhakar Rajini, S. Shreenath, K.N. Vijayashaarathi, S. Lathakumari, K.R. Sr University Department of Electrical and Electronics Engineering Warangal India Vidyavardhaka College of Engineering Department of Information Science and Engineering Mysore India Siddaganga Institute of Technology Department of Cse Tumakuru India Sona College of Technology Department of Ece Salem India Nitte Meenakshi Institute of Technology Department of Ece Bengaluru India

ISBN: (纸本)9798350313413

Wireless Sensor Network (WSN) is group of spatially distributed sensors which monitors environmental exchanges that data with each other over wireless channels. Energy Efficient communication. The energy efficient communication is growing attention in the background of limit energy resources and environment friendly transmitting behaviours. In this paper, Enhanced Cat Swarm Optimization (ECSO) algorithm for the energy efficient communication in WSN. The optimal cluster head and route paths are selected by utilizing the proposed optimization algorithm. the developed ECSO algorithm minimizes the nodes' energy utilization while increasing the data transmission in WSN. The performance of proposed method is evaluated by utilizing the performance measure of throughput, packet delivery ratio, delay and energy consumption. the performance of proposed is estimated by performance metrics of packet delivery ratio, throughput, delay and energy consumption. The proposed method attained the high packet delivery ratio of 93.4%, 99.2%, 91.3% and 90.2% for 50, 100, 150 and 200 nodes which is comparatively higher than other existing algorithms. © 2023 IEEE.

关键词： Cluster Head data transmission Efficient communication Enhanced Cat Swarm Optimization and Wireless Sensor Network

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New Artificial Intelligence System Based on Information processing Technology 2

New Artificial Intelligence System Based on Information Proc...

引用

2nd international conference on data Analytics, computing and Artificial Intelligence, ICDACAI 2023

作者： Tian, Ziye Shaanxi Institute of International Trade & Commerce School of Information Engineering Shaanxi Xi'an712000 China

ISBN: (纸本)9798350339765

Artificial intelligence (AI) technology is a product of social evolution, an important integration of scientific and technological development, and has a profound impact on people's lives and work. In recent years, countries have increased their attention to AI research. AI is not an isolated technology, and it must be based on the development of information technology. AI encompasses a wider range of knowledge domains, spanning multiple disciplines. The development of AI must be more adaptable to human needs. The networked era continues to develop and must also change. For many people, AI and Knowledge management are interconnected. As information management systems themselves become increasingly complex and contain more and more management content, without intelligent network management as a support, many problems arise in the management process. This article first introduces information processing technology and AI systems, and then explores the construction of a new type of AI system. Finally, through experiments, the power of AI's text recognition function is verified (as long as the data volume is large enough, the recall rate can reach 93.5%, approaching 100%). © 2023 IEEE.

关键词： Knowledge management

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16th IEEE/ACM international conference on Utility and Cloud computing, UCC 2023

16th IEEE/ACM International Conference on Utility and Cloud ...

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16th IEEE/ACM international conference on Utility and Cloud computing, UCC 2023

ISBN: (纸本)9798400702341

The proceedings contain 65 papers. The topics discussed include: event-driven FaaS workflows for enabling IoT data processing at the cloud edge continuum;the early microbenchmark catches the bug - studying performance issues using micro-and application benchmarks;identifying network congestion using knowledge graphs and link prediction;cloud workload categorization using various data preprocessing and clustering techniques;compliance management of IaC-based cloud deployments during runtime;NSDF-services: integrating networking, storage, and computing services into a testbed for democratization of data delivery;a data-driven analysis of a cloud data center: statistical characterization of workload, energy and temperature;and optimal deployment of cloud-native applications with fault-tolerance and time-critical end-to-end constraints.

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GCRS - Green computing Resource Scheduler: An Optimized Energy Efficient Cloud data Centers to Scale Down Carbon Emission

GCRS - Green Computing Resource Scheduler: An Optimized Ener...

引用

2023 international conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023

作者： Chitra, K. Getzi, M. Government Arts College Melur Department of Computer Science Tamil Nadu Madurai India Madurai Kamaraj University Department of Computer Science Tamil Nadu India

ISBN: (纸本)9798350300857

Cloud computing is a powerful technology that is rapidly growing in popularity with energy consumption being a major concern. Cloud data centers consume a lot of energy, which can lead to high operating costs and carbon emissions. This is a significant bottleneck restricting the development of cloud computing. If people continue to rely on traditional data centers, the environmental impact of cloud computing will only get worse. Green cloud computing solutions are needed to address this challenge. Green cloud computing solutions are designed to utilize cloud resources while minimizing energy consumption efficiently. Cloud computing providers offer different levels of service, which are defined in service-level agreements (SLAs). SLAs typically include things like the availability of the service, the response time for requests, and the resources that are assigned to the cloud clients. Cloud computing providers try to best exploit their resources by allocating them to users which enhances utilization and lowers the idle time. This can be done by using scheduling algorithms. In the proposed work' data centers or servers maintain data for clients to read and write. Servers are classified as read-and-write servers separately based on their capacity, and read-and-write tasks are assigned accordingly. The model uses every server's full potential, resulting in an environment that consumes less energy. The objective of the proposed Green computing Resource Scheduling (GCRS) is to reduce the energy consumed and the carbon emitted by the data center through scheduling resources. © 2023 IEEE.

关键词： Energy efficiency

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Design of a VLSI Router for the Faster data Transmission Using Buffer 2

Design of a VLSI Router for the Faster Data Transmission Usi...

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2nd international conference on Smart Technologies and Systems for Next Generation computing, ICSTSN 2023

作者： Gogula, Subash Damodaran, V. Electronics and Communcation Engineering Amrita Vishwa Vidyapeetham Amrita School of Engineering Chennai India

ISBN: (纸本)9798350348002

The design and implementation of efficient routing architectures is a critical aspect of modern communication systems. This paper proposes a modified VLSI-based router architecture that is optimized for high-speed data transfer and low power consumption. The proposed architecture utilizes advanced routing algorithms and state-of-the-art VLSI design techniques to achieve a high level of performance and scalability. The performance of the design is evaluated through simulations. The simulation was carried out in a software called Xilinx and it is written using VHDL language. Design contains blocks called Arbiter, Cross bar and FIFO. The results show that the proposed architecture is able to achieve high throughput while maintaining a high level of scalability. This work is a significant step towards the development of high-performance communication systems. © 2023 IEEE.

关键词： Integrated circuit design

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Ensemble Learning to Assess Dynamics of Affective Experience Ratings and Physiological Change 11

Ensemble Learning to Assess Dynamics of Affective Experience...

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11th international conference on Affective computing and Intelligent Interaction (ACIIW)

作者： Dollack, Felix Kiyokawa, Kiyoshi Liu, Huakun Perusquia-Hernandez, Monica Raman, Chirag Uchiyama, Hideaki Wei, Xin Nara Inst Sci & Technol Nara Japan Delft Univ Technol Delft Netherlands

ISBN: (纸本)9798350327458

The congruence between affective experiences and physiological changes has been a debated topic for centuries. Recent technological advances in measurement and data analysis provide hope to solve this epic challenge. Open science and open data practices, together with data analysis challenges open to the academic community, are also promising tools for solving this problem. In this entry to the Emotion Physiology and Experience Collaboration (EPiC) challenge, we propose a data analysis solution that combines theoretical assumptions with data-driven methodologies. We used feature engineering and ensemble selection. Each predictor was trained on subsets of the training data that would maximize the information available for training. Late fusion was used with an averaging step. We chose to average considering a "wisdom of crowds" strategy. This strategy yielded an overall RMSE of 1.19 in the test set. Future work should carefully explore if our assumptions are correct and the potential of weighted fusion.

关键词： affective computing continuous ratings biosignal processing machine learning data analysis challenge

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Evaluation of Various data Storage Approaches to Build a Central Drug Repository 13

Evaluation of Various Data Storage Approaches to Build a Cen...

引用

13th international conference on Cloud computing, data Science and Engineering, Confluence 2023

作者： Khopkar, Vishal Ganesh Carnegie Mellon University Heinz College of Information Systems and Public Policy Pittsburgh United States

ISBN: (纸本)9781665462631

Drug shortage for specialized drugs is a genuine problem [1]. They impact patients economically as well as clinically [2]. This paper tries to address the problems of drug shortages by proposing and designing a centralized drug repository. The drug repository shall include the availability of drugs across all the pharmacies in the country so that it becomes easy to look up for the closest pharmacy where a certain emergency drug is available. We have experimentally validated various database designs for this repository, including the conventional RDBMS and various NoSQL designs like key-value, document, and column store. With these experiments, we found that the document store design is the most efficient for retrieving and manipulating data for such a repository. As compared to an indexed relational database design, we achieved an improvement of 5.2% in the time taken to retrieve pharmacies by geographical location. The approach can also be used for any centralized product repository, such as a supermarket chain and its products across all its stores in a country. © 2023 IEEE.

关键词： Query processing

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Brain Tumor Classification using Transfer Learning on Augmented data and Visual Explanation using Grad-CAM 7

Brain Tumor Classification using Transfer Learning on Augmen...

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7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Kumar, K. Vijaya Baid, Mudit Menon, Karthik SRM Institute of Science and Technology Dept of Computational Intelligence Chennai India

ISBN: (纸本)9798350397253

Brain tumors are irregular growths of cells within the brain, and some of them can be cancerous. MRI is the typical diagnostic tool for identifying brain tumors. MRI images can reveal any anomalous tissue regeneration in the brain. Applying novel algorithms to MRI images, predicting a tumor becomes much faster and more accurate to help deliver treatments to patients. These predictions also help radiologists make quick decisions. In the proposed work to enhance diversity in the dataset, data augmentation techniques are utilized. The presence of brain tumors is detected using VGG19 and InceptionV3 neural networks, with the performance visualized through Grad CAM. © 2023 IEEE.

关键词： Brain

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Handwritten formula data enhancement based on Edmonds' algorithm

Handwritten formula data enhancement based on Edmonds' algor...

引用

2023 international conference on algorithms, High Performance computing, and Artificial Intelligence, AHPCAI 2023

作者： Hong, Zhongjian Zhang, Junzhao Wang, Shuai Zhao, Haodi Wang, Chen Fan, L.I. Xiaofeng, L.U. College of Electrical and Power Engineering Taiyuan University of Technology Shanxi Taiyuan030024 China Shanxi Electric Transmission and Internet of Things Engineering Research Center Shanxi Taiyuan030024 China Shanxi Electric Drive and Internet of Things Engineering Research Center Shanxi Taiyuan030024 China

ISBN: (纸本)9781510671881

This paper describes a tree-based decomposition and subexpression exchange method for generating new strategically valid handwritten mathematical expressions (HMEs). This approach uses the Edmonds algorithm to extract a minimum spanning tree (MST) from a directed view and groups input strokes to segment symbols and label spatial relationships between symbols and symbol pairs. By training the HME recognition model and the mathematical language model (LM), we aim to improve the recognition performance and generalization ability of existing state-of-the-art methods from both data enhancement and model design perspectives. By adding HMEs of different styles, complexity and difficulty levels in the training dataset in order to increase the adaptability of the system to various forms of expressions. © 2023 SPIE. All rights reserved.

关键词： Trees (mathematics)

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The Innovative Cloud Security Environment for data Privacy

The Innovative Cloud Security Environment for Data Privacy

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2023 international conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Divya Rani, M.S. Rajesh, A. Agarwal, Ankita Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Faculty of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350357769

The use of online computing has grown quickly across a range of institutions and businesses. The storage of information in the clouds, which enables individuals and businesses to store their personal information largely in the cloud and not on local computers, is one of the main benefits of cloud computing. Safety of data maintained in the cloud is still a major worry, however. We provide a novel security architecture in this study that is intended to improve data confidentiality and safety. data is separated into blocks of two bytes each, and each multi-byte bit sequence is subjected to a separate evolutionary process in the revised security framework. The end product of each genetic algorithm's operation is ciphertext, which is made up of two different sets of bits. The ciphertext for these encrypted messages is difficult to find since it is stored in many places across the cloud. Additionally, the newly developed safety architecture uses algorithms that evolve on fewer data blocks to improve data security. A capability list is also used to guarantee granular and secure access to information. © 2023 IEEE.

关键词： access control Cloud security cloud service providers (CSPs) data confidentiality data encryption data privacy data protection Genetic Algorithm (GA) Internet of Things (IoT) security architecture

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