PAK: A Processing System for Vectorized Time-Series Data

机译：paK：矢量化时间序列数据的处理系统

获取原文

页面导航

摘要
著录项
引文网络
相似文献
相关主题

摘要

This document describes the PAK function and how to use it. The function iswritten in MATLAB. The function is designed for processing vectorized data. Options are provided for creating, viewing, and processing the data.

著录项

作者
Peckinpaugh, S. H.; Smith, P. M.;
展开▼
作者单位

展开▼
年度 1994
页码
总页数 24
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Data processing; Time series analysis; Computer program documentation; Computerfiles; Data management; High level languages; Vector analysis;

机译：数据处理;时间序列分析;计算机程序文档;计算机文件;数据管理;高级语言;矢量分析;

相似文献

外文文献
中文文献
专利

1. New algorithms for processing time-series big EEG data within mobile health monitoring systems [J] . Serhani Mohamed Adel, El Menshawy Mohamed, Benharref Abdelghani, Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2017,第期

机译：用于处理移动健康监控系统中的时间系列大EEG数据的新算法
2. Synthesis of natural electric and magnetic Time-series using Inter-station transfer functions and time-series from a Neighboring site (STIN): Applications for processing MT data [J] . Wang Hui, Campanya Joan, Cheng Jiulong, Journal of Geophysical Research. Biogeosciences . 2017,第8期

机译：使用站点传输函数的自然电和磁性时间序列的合成（STIN）：用于处理MT数据的应用程序
3. Autonomous data acquisition system for Paks NPP process noise signals [J] . S. Lipcsei, S. Kiss, T. Czibok, International Journal of Nuclear Energy Science and Technology . 2005,第4期

机译：Paks NPP过程噪声信号的自主数据采集系统
4. Distributed Large-scale Time-series Data Processing and Analysis System Based on Spark Platform [C] . Bangyan Du International Conference on Big Data Analysis and Computer Science . 2021

机译：基于Spark平台的分布式大规模时间序列数据处理和分析系统
5. Converting map images from real-world data to match fictional vector data VIA artificial intelligence and image processing techniques. [D] . Richards, William Thomas. 2004

机译：通过人工智能和图像处理技术将地图图像从现实世界数据转换为虚构矢量数据，以进行匹配。
6. Pipeline for imaging extraction pre-processing and processing of time-series hyperspectral data for discriminating drought stress origin in tomatoes [O] . Uroš Žibrat, Nik Susič, Matej Knapič, 2019

机译：用于对时间序列高光谱数据进行成像提取预处理和处理的管线以区分番茄中的干旱胁迫根源
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

PAK: A Processing System for Vectorized Time-Series Data

摘要

著录项

引文网络

相似文献

相关主题

期刊订阅