Pub Date : 2023-02-17DOI: 10.1142/s021853932350002x
S. Anbukkarasi, D. Elangovan, Jayalakshmi Periyasamy, V. E. Sathishkumar, S. Sree Dharinya, M. Sandeep Kumar, J. Prabhu
{"title":"Phonetic based Forward Online Transliteration Tool from English to Tamil Language","authors":"S. Anbukkarasi, D. Elangovan, Jayalakshmi Periyasamy, V. E. Sathishkumar, S. Sree Dharinya, M. Sandeep Kumar, J. Prabhu","doi":"10.1142/s021853932350002x","DOIUrl":"https://doi.org/10.1142/s021853932350002x","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77214643","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}
Pub Date : 2023-02-17DOI: 10.1142/s0218539323500018
Shigeshi Yamashita, Sho Kawakami, Truong Dinh Anh Khoa, Kodo Ito
{"title":"Optimal Policies on Education Training Employees Using Maintenance Modeling Aspects","authors":"Shigeshi Yamashita, Sho Kawakami, Truong Dinh Anh Khoa, Kodo Ito","doi":"10.1142/s0218539323500018","DOIUrl":"https://doi.org/10.1142/s0218539323500018","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75130550","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}
Pub Date : 2023-01-10DOI: 10.1142/s0218539323410024
Yaliu Yang
{"title":"Research On Influencing Factors Of Technological Innovation In Industrial Clusters Based On Data Mining And Artificial Intelligence Technology","authors":"Yaliu Yang","doi":"10.1142/s0218539323410024","DOIUrl":"https://doi.org/10.1142/s0218539323410024","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86348215","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}
Pub Date : 2023-01-10DOI: 10.1142/s0218539323410012
Haibing Hong, Xing Liu
{"title":"College Students' Autonomous Learning Behavior Based On Big Data And Internet Of Things","authors":"Haibing Hong, Xing Liu","doi":"10.1142/s0218539323410012","DOIUrl":"https://doi.org/10.1142/s0218539323410012","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85219096","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}
The method of six-sigma and the index of process capability are both commonly used tools in the industrial community. Process engineers can follow five improvement steps of the six-sigma method, including “define”, “measure”, “analyze”, “improve”, and “control” (DMAIC), aiming to improve and enhance the process quality. However, none of these five improvement steps have a clear corresponding approach. This paper considered process capability indices not only a process quality evaluation tool widely used in the industrial community but also a process quality evaluation and analysis tool adopted by internal engineers. Therefore, this paper applied the method integrating process capability indices and statistical testing to develop execution models for the five improvement steps, DMAIC, of the six-sigma method. First, this paper, based on the concept of yield, not only deduced the relationship between the required value of the process capability index for the product and the process capability index value of the individual quality characteristic but also discussed the definition of the quality level of six-sigma as well as its relationship with the process capability index. Next, according to these results, five improvement execution models of the six-sigma method were developed and served as a reference for the process engineers in the industry to promote the performance of the six-sigma project. The proposed method in this paper applied various normal processes and combined the six-sigma method and process capability indices, both of which are tools commonly used in the industrial community. It also has taken into account the advantages of theoretical contribution and industrial acceptance.
{"title":"Using Process Capability Indices to Develop the Execution Models of DMAIC Process","authors":"Kuen-Suan Chen, Chin-Chia Liu, Chi-Han Chen, Chun-Min Yu","doi":"10.1142/s0218539322500188","DOIUrl":"https://doi.org/10.1142/s0218539322500188","url":null,"abstract":"The method of six-sigma and the index of process capability are both commonly used tools in the industrial community. Process engineers can follow five improvement steps of the six-sigma method, including “define”, “measure”, “analyze”, “improve”, and “control” (DMAIC), aiming to improve and enhance the process quality. However, none of these five improvement steps have a clear corresponding approach. This paper considered process capability indices not only a process quality evaluation tool widely used in the industrial community but also a process quality evaluation and analysis tool adopted by internal engineers. Therefore, this paper applied the method integrating process capability indices and statistical testing to develop execution models for the five improvement steps, DMAIC, of the six-sigma method. First, this paper, based on the concept of yield, not only deduced the relationship between the required value of the process capability index for the product and the process capability index value of the individual quality characteristic but also discussed the definition of the quality level of six-sigma as well as its relationship with the process capability index. Next, according to these results, five improvement execution models of the six-sigma method were developed and served as a reference for the process engineers in the industry to promote the performance of the six-sigma project. The proposed method in this paper applied various normal processes and combined the six-sigma method and process capability indices, both of which are tools commonly used in the industrial community. It also has taken into account the advantages of theoretical contribution and industrial acceptance.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85375774","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}
Pub Date : 2022-12-26DOI: 10.1142/s0218539322500164
Shibo Zeng
In the process of power dispatching and control, dispatching small network is an effective means to realize the remote number allocation in power dispatching and switching network. However, due to the scattered site, a wide range, and some unmanned site remote locations, there is a need for a small site terminal equipment to find the fault. To solve these problems, a terminal graphics management system is established. First, the real-time status monitoring mechanism of terminal is established based on IPoE technology to realize the status awareness of remote terminal. The heartbeat mechanism is segmented in link layer to meet the real-time performance of terminal state presentation. Then, the message class method with special characters is used to replace the original dial method to test the detection mode of manual answering. Automatic monitoring using telemetry technology can effectively monitor in unattended situations. Finally, considering the performance of different devices and various fault scenarios, according to the inherent hardware characteristics of segmented devices, the unified packet detection technology is used to realize the fault diagnosis of network sub-nodes, and finally realize the fault diagnosis of the terminal. After experimental verification and testing, the platform can realize remote fault detection and management of each plant terminal through topological graphical management system. The system can improve the scale and management ability of intelligent power dispatching of small stations.
{"title":"A Station Terminal Management System Based on Scheduling Small Site in Power Dispatching","authors":"Shibo Zeng","doi":"10.1142/s0218539322500164","DOIUrl":"https://doi.org/10.1142/s0218539322500164","url":null,"abstract":"In the process of power dispatching and control, dispatching small network is an effective means to realize the remote number allocation in power dispatching and switching network. However, due to the scattered site, a wide range, and some unmanned site remote locations, there is a need for a small site terminal equipment to find the fault. To solve these problems, a terminal graphics management system is established. First, the real-time status monitoring mechanism of terminal is established based on IPoE technology to realize the status awareness of remote terminal. The heartbeat mechanism is segmented in link layer to meet the real-time performance of terminal state presentation. Then, the message class method with special characters is used to replace the original dial method to test the detection mode of manual answering. Automatic monitoring using telemetry technology can effectively monitor in unattended situations. Finally, considering the performance of different devices and various fault scenarios, according to the inherent hardware characteristics of segmented devices, the unified packet detection technology is used to realize the fault diagnosis of network sub-nodes, and finally realize the fault diagnosis of the terminal. After experimental verification and testing, the platform can realize remote fault detection and management of each plant terminal through topological graphical management system. The system can improve the scale and management ability of intelligent power dispatching of small stations.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73981912","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}
Pub Date : 2022-12-22DOI: 10.1142/s0218539322500292
A. Yaghoubi, N. Moradi
{"title":"An Explicit Formula for Reliability of 1-out-of-n Cold Standby Spare Systems with Weibull Distribution","authors":"A. Yaghoubi, N. Moradi","doi":"10.1142/s0218539322500292","DOIUrl":"https://doi.org/10.1142/s0218539322500292","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73592498","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}
Pub Date : 2022-12-20DOI: 10.1142/s0218539322500279
Seema Sharma, Mamta
{"title":"Behavior Analysis of Feeding Unit of a Paper Industry in Fuzzy Environment","authors":"Seema Sharma, Mamta","doi":"10.1142/s0218539322500279","DOIUrl":"https://doi.org/10.1142/s0218539322500279","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84107855","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}
Pub Date : 2022-12-20DOI: 10.1142/s021853932250022x
J. Du, Haibin Li
{"title":"Calculation of Instantaneous Reliability of Grain Structure under Small Samples","authors":"J. Du, Haibin Li","doi":"10.1142/s021853932250022x","DOIUrl":"https://doi.org/10.1142/s021853932250022x","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83354178","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}
Pub Date : 2022-12-20DOI: 10.1142/s0218539322500255
Sijia Yang
{"title":"Application of Intelligent Voice Technology and Sensor Network in Production and Operation Management VR Intelligent Teaching System","authors":"Sijia Yang","doi":"10.1142/s0218539322500255","DOIUrl":"https://doi.org/10.1142/s0218539322500255","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72572111","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：