Design and Implementation of Hybrid Compression Algorithm for Personal Health Care Big Data Applications

Kalaivani, S.; Tharini, C.; Saranya, K.; Priyanka, Kosireddy

doi:10.1007/s11277-020-07241-1

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…Residents mainly use public transportation or hiking. Through the word frequency analysis results in the functional analysis option of R software (as shown in Figure 6) [24], the following conclusions can be drawn: cultural landscape and urban landscape respectively, so the cultural landscape types in the suburbs are a combination of the three. The word frequency of natural landscape is higher and the style is more prominent.…”

Section: Frequencymentioning

confidence: 99%

Research on Traditional Rural Ecological Environment Protection and Planning Design Based on Mathematical Models and Internet of Things Technology

Zhang

2023

Preprint

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In order to study the environmental protection and planning of traditional rural settlements based on big data and Internet of things technology, it is proposed to select and obtain big data types (text data and POI data) suitable for Traditional Village Research Based on the basic types and application analysis of big data. Taking a village in a city as a research case, this paper discusses the application, advantages and limitations of the above two kinds of data in the protection and development of traditional villages, puts forward the development path and development strategy of Chaoxi village based on big data analysis, further summarizes and summarizes general strategy suggestions, and puts forward new ideas for the protection and development of traditional villages based on the combination of traditional data and big data. Experiments show that the application of big data helps to provide a more accurate regional dimension analysis and positioning for the protection and development of traditional villages. The amount of data is large, the types are rich, and it is easy to obtain and analyze. As a supplement to traditional data, the integration and integration of big data and native data can provide new ideas and approaches for the prevention and control of traditional villages. New system planning has been established, such as public service facilities planning, including sanitation facilities, medical care, elderly care, children's play venues, protection and renewal of ancient buildings, public places, water supply facilities, educational land, tourism services, etc.

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Section: Frequencymentioning

confidence: 99%

Research on Traditional Rural Ecological Environment Protection and Planning Design Based on Mathematical Models and Internet of Things Technology

Zhang

2023

Preprint

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“…Generally, the ratio of the number of bytes before deduplication B in to the number of bytes after processing B out is used to measure the data elimination ratio (DER) G u , as shown in formula (5):…”

Section: E Basic Principle Of the Deduplication Algorithmmentioning

confidence: 99%

“…G u is usually determined by two factors: the type of partitioning strategy used and the average data block size. Although the data reduction rate shown in formula (5) takes into account the repeated data between data blocks after blocking and the data compression within a single data block, the metadata overhead is not considered. However, the metadata cost in the deduplication system cannot be ignored.…”

Section: E Basic Principle Of the Deduplication Algorithmmentioning

confidence: 99%

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Unbalanced Big Data-Compatible Cloud Storage Method Based on Redundancy Elimination Technology

2022

Scientific Programming

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In order to meet the requirements of users in terms of speed, capacity, storage efficiency, and security, with the goal of improving data redundancy and reducing data storage space, an unbalanced big data compatible cloud storage method based on redundancy elimination technology is proposed. A new big data acquisition platform is designed based on Hadoop and NoSQL technologies. Through this platform, efficient unbalanced data acquisition is realized. The collected data are classified and processed by classifier. The classified unbalanced big data are compressed by Huffman algorithm, and the data security is improved by data encryption. Based on the data processing results, the big data redundancy processing is carried out by using the data deduplication algorithm. The cloud platform is designed to store redundant data in the cloud. The results show that the method in this paper has high data deduplication rate and data deduplication speed rate and low data storage space and effectively reduces the burden of data storage.

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“…Para gerência do GROWN no dispositivo ECG utilizou-se a placa Arduino Mega. Além disso, todo sinal fisiológico foi coletado por um Módulo Sensor Cardíaco ECG AD8232 utilizado em diversas pesquisas científicas (Jayarathna et al, 2020;Kalaivani et al, 2020;Lakshmanan et al, 2020). Este módulo foi projetado para extrair, amplificar e filtrar pequenos sinais através de seus eletrodos remotos (Lakshmanan et al, 2020).…”

Section: Implementaçãounclassified

Um Mecanismo de Compressão de Dados Local em Tempo Real Energeticamente Eficiente para Redes WBANs

Passos¹,

Santos²

2021

Anais Estendidos Do XXXIX Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2021)

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Dentre as redes computacionais voltadas ao cuidado com a saúde, destacam-se as redes corporais sem fio (WBANs), que possibilitam o monitoramento contínuo e em tempo real dos sinais fisiológicos. No entanto, esse monitoramento resulta em uso excessivo de transmissão de dados, afetando drasticamente o consumo de energia dos dispositivos. Esta pesquisa de dissertação investigou essas questões e propôs o sistema GROWN, uma abordagem híbrida de compressão de dados local para reduzir a redundância de informações na transmissão de dados e redução do consumo de energia dos dispositivos, através de métodos de compressão de dados locais de WSN. O GROWN foi avaliado por meio de experimentação e obteve uma diminuição do consumo de energia dos dispositivos na transmissão dos sinais e um aumento na vida útil da rede.

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Design and Implementation of Hybrid Compression Algorithm for Personal Health Care Big Data Applications

Cited by 11 publications

References 13 publications

Research on Traditional Rural Ecological Environment Protection and Planning Design Based on Mathematical Models and Internet of Things Technology

Research on Traditional Rural Ecological Environment Protection and Planning Design Based on Mathematical Models and Internet of Things Technology

Unbalanced Big Data-Compatible Cloud Storage Method Based on Redundancy Elimination Technology

Um Mecanismo de Compressão de Dados Local em Tempo Real Energeticamente Eficiente para Redes WBANs

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