首页> 外国专利> MONITORING DATA ANALYZING APPARATUS, MONITORING DATA ANALYZING METHOD, AND MONITORING DATA ANALYZING PROGRAM

MONITORING DATA ANALYZING APPARATUS, MONITORING DATA ANALYZING METHOD, AND MONITORING DATA ANALYZING PROGRAM

机译：监测数据分析装置，监测数据分析方法和监测数据分析程序

页面导航

摘要
著录项
相似文献

摘要

An object of the present invention is to reduce a prediction error even if a monitoring target system has a plurality of patterns of use. A monitoring data analyzing apparatus includes a log data file 21 configured to accumulate log data including monitoring data in a monitoring target system set as a target of performance management, a data classifying section 11 configured to classify the log data into a plurality of groups on the basis of characteristics of use status data included in the log data and indicating statuses of use of components of the monitoring target system, and a regression-model generating section 12 configured to execute a regression analysis of the log data and generate a regression model for each of the groups.

机译：本发明的目的是即使监视目标系统具有多种使用模式也可以减小预测误差。监视数据分析装置包括：日志数据文件 21 ，被配置为在设置为性能管理的目标的监视目标系统中累积包括监视数据的日志数据;数据分类部 11 回归模型生成部，其被配置为基于包括在日志数据中的使用状态数据的特征并指示监视目标系统的组件的使用状态，将日志数据分为多个组。配置为对日志数据执行回归分析并为每个组生成回归模型。 展开▼

著录项

公开/公告号US2013185236A1

专利类型

公开/公告日2013-07-18

原文格式PDF

申请/专利权人 TOSHIO TONOUCHI;
展开▼

申请/专利号US201113824601

发明设计人 TOSHIO TONOUCHI;
展开▼

申请日2011-12-12

分类号G06N3/08;

国家 US

入库时间 2022-08-21 16:51:25

相似文献

专利

外文文献

中文文献

1. 一种桥梁基础冲刷监测传感器及其监测数据分析方法 [P] . 中国专利： CN112146587A . 2020-12-29

2. 一种从业人员健康监测数据分析方法、装置及平台 [P] . 中国专利： CN113903462A . 2022-01-07

3. Monitoring data analyzing apparatus, monitoring data analyzing method, and monitoring data analyzing program [P] . 美国专利： US9465713B2 . 2016-10-11

机译：监视数据分析装置，监视数据分析方法以及监视数据分析程序

4. Monitoring data analyzing apparatus, monitoring data analyzing method, and monitoring data analyzing program [P] . 美国专利： US9111227B2 . 2015-08-18

机译：监视数据分析装置，监视数据分析方法以及监视数据分析程序

5. MONITORING DATA ANALYZING APPARATUS, MONITORING DATA ANALYZING METHOD, AND MONITORING DATA ANALYZING PROGRAM [P] . 美国专利： US2013191107A1 . 2013-07-25

机译：监测数据分析装置，监测数据分析方法和监测数据分析程序

1. Designing of the Wireless Digital Portable Temperature and Humidity Monitoring Device and Analyzing Data at Different Part of Kathmandu Valley [J] . Sabina Bogati, Mahesh Sharma, Rajesh Shrestha 半导体科学与信息器件(英文) . 2021,第001期

2. Evaluation and Forecasting of Elapsed Fatigue Life of Ship Structures by Analyzing Data from Full Scale Ship Structural Monitoring [J] . Giovanni Cusano, Lt Salvatore La Marca 船舶与海洋工程：英文版 . 2015,第002期

3. Improvised Technique for Analyzing Data and Detecting Terrorist Attack Using Machine Learning Approach Based on Twitter Data [J] . Aditi Sarker, Partha Chakraborty, S. M. Shaheen Sha, 电脑和通信（英文） . 2020,第007期

4. Technology for Analyzing Geophysical Time Series: Part 2. WinABD-A Software Package for Maintaining and Analyzing Geophysical Monitoring Data [J] . A. V. Desherevskii, V. I. Zhuravle, A. N. Nikolsky, Seismic instruments . 2017,第3期

5. Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach [J] . Chen Zhicheng, Li Hui, Bao Yuequan Structural health monitoring . 2019,第4期

6. Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach [J] . Chen Zhicheng, Li Hui, Bao Yuequan Structural health monitoring . 2019,第4期

7. Methods to analyze data in Health Monitoring Systems [C] . Venkata Krishna Kota, Nagendra Kumar Mangali, T. Velayutham International Conference on Next Generation Computing Technologies . 2015

8. Analyzing biomonitoring surveillance data on endocrine -disrupting chemicals for population exposure patterns and health outcomes. [D] . Nelson, Jessica Webb. 2010

9. Statistical Tools to Analyze Continuous Glucose Monitor Data [O] . William Clarke, Boris Kovatchev -1

10. Chemotherapy is one of the therapies for cancer patients that cause some side effects, one of them is nausea and vomiting. Nausea and vomiting are still felt by patients even though they take antiemetics. Nausea dan vomiting can cause fluid and electrolyte imbalance. The aim of this study was to analysis the effect of combination acupressure wristband and antiemetic among chemotherapy induced nausea vomiting (CINV) on breast cancer patients. This research used quasi experimental research method, with a pre-post test with the control group. The sampling techniques was consecutive sampling with 25 respondents both in intervention group and control group. In the intervention group had received an acupressure wristband. CINV measured on the second day until fourth day after chemotherapy. Nausea and vomiting score were measured twice a day by a telemonitoring methode by Rhodes Index Nausea, Vomiting and Retching (INVR) questionaire. Data were analyzed by paired t-test, independent t-test, Wilcoxon test and Mann Whitney. The result of this study showed that acupressure wristband significantly reduce the chemotherapy induced nausea and vomit (p value = 0.000). The use of acupressure wristband combined with antiemetic therapy can significantly decrease chemotherapy induced nausea and vomiting in breast cancer patients. Acupressure wristband recommended for consideration nursing intervention in treating breast cancer patients who experience nausea and vomiting. [O] . Endah Fatma 2018

1. A Comparison of Statistical Methods for Analyzing Discrete Hierarchical Data: A Case Study of Family Data on Alcohol Abuse [J] . Yuanyuan Liang ,Keumhee Chough Carriere . 统计学期刊（英文） . 2013,第4期

2. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004）（P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期

3. 基于GM-ANN组合模型的大坝变形监测数据分析方法 [C] . 钱程 ,李连基 ,周子东 . 全国大坝安全监测技术信息网第八届全网大会暨2015年全国大坝安全监测技术与应用学术交流会 . 2015

4. 山东省高校类建筑节能监测数据分析方法研究及系统实现 [A] . 高赛 . 2014