Total Quality Science最新文献_第3页

Verification of an Individual Training System in Blood Collection through Data Acquisition and Analysis 通过数据采集和分析验证采血个人训练系统

Total Quality Science Pub Date : 2022-02-20 DOI: 10.17929/tqs.7.82

Ryoko Shimono, Rie Akinaga

引用次数: 0

Statistical analysis and prediction in American football 美式足球的统计分析与预测

Total Quality Science Pub Date : 2022-02-20 DOI: 10.17929/tqs.7.51

Yuki Takezaki, Yasushi Nagata

引用次数: 0

Threshold policy of condition-based maintenance for a multi-state system and deteriorating sensor 多状态系统和劣化传感器状态维护的阈值策略

Total Quality Science Pub Date : 2022-02-20 DOI: 10.17929/tqs.7.89

Genda Satoshi, Jin Lu

{"title":"Threshold policy of condition-based maintenance for a multi-state system and deteriorating sensor","authors":"Genda Satoshi, Jin Lu","doi":"10.17929/tqs.7.89","DOIUrl":"https://doi.org/10.17929/tqs.7.89","url":null,"abstract":": Condition-based maintenance is preventive maintenance in which an appropriate maintenance action is taken on the basis of the system’s underlying condition before failure. The underlying condition is continuously or periodically observed by a sensor. In most research on condition-based maintenance, the accuracy of the sensor was assumed to not change over time. However, in actuality, not only the system but also the sensor deteriorates over time. In this research, we considered a multi-state system that deteriorates in accordance with a discrete-time Markov chain. It is assumed that the underlying deterioration state is observed periodically by a sensor with accuracy that degrades over time. After each observation, a decision maker chooses one of three actions: continue operating system, replace only system, and replace both system and sensor. We formulated the optimization problem of condition-based maintenance for both the system and sensor using a partially observable Markov decision process. The objective is to minimize the total expected discounted costs (both operation and maintenance of system and sensor) over an infinite horizon. We analytically show that, under certain sufficient conditions, the total expected discounted costs are monotonically non-decreasing with respect to the state probability vector of the system and the age of the sensor. Moreover, the optimal policy has a threshold-type structure. We also provide a numerical example illustrating the properties obtained. These properties are useful for many practical purposes, such as determining thresholds for changing the maintenance action.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132222551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Prediction Model of Runs Allowed Based on Latent-Class Markov Chain for Starters of Professional Baseball Pitchers 基于潜类马尔可夫链的职业棒球先发投手失分预测模型

Total Quality Science Pub Date : 2022-02-20 DOI: 10.17929/tqs.7.69

Ryosuke Uehara, Takuma Matsumoto, K. Mikawa, M. Goto

引用次数: 0

Discussion on supersaturated design and its data analysis method in computer experiments 计算机实验中过饱和设计及其数据分析方法的探讨

Total Quality Science Pub Date : 2022-02-20 DOI: 10.17929/tqs.7.60

Arata Ueda, S. Yamada

引用次数: 0

A comparison of MT and RT methods for missing data analysis methods 缺失数据分析方法的MT和RT方法比较

Total Quality Science Pub Date : 2021-12-28 DOI: 10.17929/tqs.7.42

Kakeru Nishizawa, Masahiro Maeda, Yasushi Nagata

引用次数: 0

Measurement Precision with Ordinal Categorical Data considering Dose-response Relationships 考虑剂量-反应关系的有序分类数据测量精度

Total Quality Science Pub Date : 2021-12-28 DOI: 10.17929/tqs.7.31

Shunsuke Tanigaki, J. Takeshita, Shizu Itaka, Tomomichi Suzuki

{"title":"Measurement Precision with Ordinal Categorical Data considering Dose-response Relationships","authors":"Shunsuke Tanigaki, J. Takeshita, Shizu Itaka, Tomomichi Suzuki","doi":"10.17929/tqs.7.31","DOIUrl":"https://doi.org/10.17929/tqs.7.31","url":null,"abstract":": Evaluating measurement methods is important to perform quality assurance of measurement results. This study aims to estimate the measurement precision of ordinal categorical data. ISO 5725-1 states that precision of measurement methods can be quantified by conducting precision evaluation experiments, and ISO 5725-2 provides a methodology to evaluate the measurement precision for quantitative data. Regarding qualitative data, some previous studies exist on quantifying the precision of binary and multinomial data. However, no reasonable methodologies have yet been established. Thus, this study proposes the analysis method for the data obtained from a collaborative study on intratracheal administration testing for assessing effects in rat lungs. A primary objective of the collaborative study was to demonstrate dose-response relationships. To investigate the dose-response relationships, hypothesis tests such as a Cochran–Armitage trend test and a cumulative chi-squared test were performed, which are applicable even for ordinal categorical data. Moreover, logistic regression analysis was performed to examine the dose-response relationships and the precision among laboratories. This result was expressed by 50% efficient dose ( 𝐸𝐸𝐸𝐸 50 ) and area under the curve (AUC). Then, we obtained that a dose-response relationship was observed for each laboratory, and the differences in the relationships among laboratories expressed precision.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129692479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Imputation Method for Missing Values Considering Temperature Fluctuations with High Locality 考虑高局域性温度波动的缺失值估算方法

Total Quality Science Pub Date : 2021-12-28 DOI: 10.17929/tqs.7.1

Keitoku Yoshino, Shizu Itaka, Tomomichi Suzuki

{"title":"Imputation Method for Missing Values Considering Temperature Fluctuations with High Locality","authors":"Keitoku Yoshino, Shizu Itaka, Tomomichi Suzuki","doi":"10.17929/tqs.7.1","DOIUrl":"https://doi.org/10.17929/tqs.7.1","url":null,"abstract":": In recent years, the urban heat island phenomenon in the Tokyo ward area has become a significant problem. To determine the regional characteristics of the urban heat island, a high spatial density meteorological observation system is required. For this purpose, Tokyo Metropolitan Research Institute for Environmental Protection installed a high-density meteorological observation system called METROS in the Tokyo ward area in July 2002. However, missing values are often present in the observed data. Analyzing data without handling missing values can cause loss of precision and biased estimates. Thus, an imputation method for missing values that considers the temperature characteristics of the Tokyo ward area is required. In this study, we propose two imputation methods considering temperature fluctuations with high locality in central Tokyo. Both methods are modification of the inverse distance weight (IDW) method, which is a general imputation method for spatial data. Our proposed methods correct surrounding observed values before imputing unobserved value by their weighted average. Different approaches are considered for correcting surrounding observed values. A simulation study based on various missing data was conducted. Simulations revealed that our proposed methods exhibited higher performance in different settings of missing data than the IDW method.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123471379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A study of MT systems applied to multivariate regression 机器翻译系统在多元回归中的应用研究

Total Quality Science Pub Date : 2021-12-28 DOI: 10.17929/tqs.7.10

Shota Nakayama, Suguru Sekine, Yasushi Nagata

{"title":"A study of MT systems applied to multivariate regression","authors":"Shota Nakayama, Suguru Sekine, Yasushi Nagata","doi":"10.17929/tqs.7.10","DOIUrl":"https://doi.org/10.17929/tqs.7.10","url":null,"abstract":": Taguchi’s T-method belong to the MT System, which is a representative method in quality engineering. Another relevant technique is multiple single regression (MSR), which incorporates the concept of the resistance line. These methods are used to make predictions when there is one output. In addition, multivariate multiple regression analysis is used as a prediction method when there are multivariate outputs. This study proposes methods that apply the T-method and MSR to multiple outputs. The proposed methods are: \"independent multivariate T-method\" (iMvT), \"multivariate T-method\" (MvT), \"simple multivariate T-method\" (MvT+), \"independent multivariate multiple single regression\" (iMMSR), \"multivariate multiple single regression\" (MMSR), and \"simple multivariate multiple single regression\" (MMSR+). iMvT and iMMSR combine predictions simply, MvT and MMSR apply generalized least squares, and MvT+ and MMSR+ apply Moore–Penrose’s generalized inverse matrix. We compared the accuracy of the proposed methods with that of multivariate multiple regression analysis. Artificial data analysis was performed by changing the number of training data and correlation. We also performed analyses on the actual data. The results indicate that the proposed methods are more accurate than the existing methods.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126449961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Study on Planning and Evaluation of Disaster Exercise Based on Disaster Records 基于灾害记录的灾害演习规划与评估研究

Total Quality Science Pub Date : 2021-12-28 DOI: 10.17929/tqs.7.23

Chisato Kajihara, Takayuki Masui, T. Atsumi, Katsuya Onoki, Masahiko Munechika

引用次数: 0