Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520118
J. Wanitwattanakosol, Somkeit Noamna
This paper presents a framework by adapting theories and methodologies of lean to the information technology (IT) paradigm. An objective is to identify and analyze influential factors to deploy lean IT in the circumstance. Seven information technology wastes are defined from previous researches. This research framework comprises five steps mainly followed processes of the action research cycle to capture and diminish appeared wastes. Preliminary data are recorded by interviewing and reviewing operational manuals. IDEF family is selected to capture activities and explore the relationship between components. A focus group in a cross-level and cross-functional is employed to discuss a root cause. A Necessary Condition Analysis is adopted to find out a lean obstacle degree in a case study. Developed lean tools are presented to eliminate critical wastes. Results of the action evaluation stage are led to some modifications to lean IT tools modification.
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Pub Date : 2018-06-01DOI: 10.1109/ICSSE.2018.8520184
Show-Shiow Tzeng, Ying-Jen Lin, Li-Shiang Wei
It is critical for machines in cognitive radio based machine-to-machine networks to efficiently utilize idle radio bands, efficiently utilize energy and alleviate the radio interference of primary users. In this paper, we propose a dynamic permission probability control for packet reservation multiple access in cognitive radio based machine type communication networks. Using the proposed permission probability control, a machine could take into account the interference of primary users to dynamically adjust the permission probability such that more data can be sent while radio interference is alleviated. Simulation results show that the proposed dynamic permission probability can increase utilization of time slots (or throughput) and efficiency of power usage under the constraint of interference ratio.
{"title":"A Dynamic Permission Probability Control for Packet Reservation Multiple Access in Cognitive Machine-to-Machine Networks","authors":"Show-Shiow Tzeng, Ying-Jen Lin, Li-Shiang Wei","doi":"10.1109/ICSSE.2018.8520184","DOIUrl":"https://doi.org/10.1109/ICSSE.2018.8520184","url":null,"abstract":"It is critical for machines in cognitive radio based machine-to-machine networks to efficiently utilize idle radio bands, efficiently utilize energy and alleviate the radio interference of primary users. In this paper, we propose a dynamic permission probability control for packet reservation multiple access in cognitive radio based machine type communication networks. Using the proposed permission probability control, a machine could take into account the interference of primary users to dynamically adjust the permission probability such that more data can be sent while radio interference is alleviated. Simulation results show that the proposed dynamic permission probability can increase utilization of time slots (or throughput) and efficiency of power usage under the constraint of interference ratio.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125010756","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}
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