• Title/Summary/Keyword: online process monitoring

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Fault Modeling and Diagnosis using Wavelet Decomposition in Squirrel-Cage Induction Motor Under Mixed Fault Condition (복합고장을 가지는 농형유도전동기의 모델링과 웨이블릿 분해를 이용한 고장진단)

  • Kim, Youn-Tae;Bae, Hyeon;Park, Jin-Su;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.6
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    • pp.691-697
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    • 2006
  • Induction motors are critical components in industrial process. So there are many research in the condition based maintenance, online monitoring system, and fault detection. This paper presents a scheme on the detection and diagnosis of the three-phase squirrel induction motor under unbalanced voltage, broken rotor bar, and a combination of these two faults. Actually one fault happen in operation, it influence other component in motor or cause another faults. Accordingly it is useful to diagnose and detect a combination fault in induction motor as well as each fault. The proposed fault detection and diagnosis algorithm is based on the stator currents from the squirrel induction motor and simulated with the aid of Matlab Simulink.

Predictors of parental behavioral intentions for vaccinating their children against COVID-19 as determined by the modified theory of planned behavior (자녀의 코로나19 백신접종에 대한 부모의 행위의도 예측요인: 계획된 행위이론의 수정모형 적용)

  • Kwon, Mi-Young;Kim, Nam-Yi
    • The Journal of Korean Academic Society of Nursing Education
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    • v.29 no.3
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    • pp.292-301
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    • 2023
  • Purpose: This study attempted to present a strategy to increase behavioral vaccination intention by identifying factors affecting parents' intention to have their children vaccinated against coronavirus disease 2019 (COVID-19) by applying the modified theory of planned behavior. Methods: An online survey was conducted with 146 parents of children aged 5 to 17 from August 1 to 30, 2022, and, as a result, 146 data were analyzed. The moderating effect of perceived behavioral control in the relationship between parents' attitude, subjective norms, and behavioral intention for children's COVID-19 vaccination was analyzed using the Process Macro (10,000 bootstrapping, 95% confidence interval), and a simple slope analysis was performed to identify differences by group. Results: The moderating effect of perceived behavioral control was statistically significant in the relationship between parent's attitude and subjective norms for COVID-19 vaccination and behavioral intention. In the simple slope analysis, the reinforcement effect was greatest when the level of perceived behavioral control was high. Conclusion: Since vaccination is most likely when recommended by healthcare providers, it is necessary to ensure that health education through community health experts or mass media can be effectively conducted. In particular, objective information on the effectiveness and safety of COVID-19 vaccinations for children, including monitoring of potential side-effects, should be actively reported.

GIS Database and Google Map of the Population at Risk of Cholangiocarcinoma in Mueang Yang District, Nakhon Ratchasima Province of Thailand

  • Kaewpitoon, Soraya J;Rujirakul, Ratana;Joosiri, Apinya;Jantakate, Sirinun;Sangkudloa, Amnat;Kaewthani, Sarochinee;Chimplee, Kanokporn;Khemplila, Kritsakorn;Kaewpitoon, Natthawut
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.3
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    • pp.1293-1297
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    • 2016
  • Cholangiocarcinoma (CCA) is a serious problem in Thailand, particularly in the northeastern and northern regions. Database of population at risk are need required for monitoring, surveillance, home health care, and home visit. Therefore, this study aimed to develop a geographic information system (GIS) database and Google map of the population at risk of CCA in Mueang Yang district, Nakhon Ratchasima province, northeastern Thailand during June to October 2015. Populations at risk were screened using the Korat CCA verbal screening test (KCVST). Software included Microsoft Excel, ArcGIS, and Google Maps. The secondary data included the point of villages, sub-district boundaries, district boundaries, point of hospital in Mueang Yang district, used for created the spatial databese. The populations at risk for CCA and opisthorchiasis were used to create an arttribute database. Data were tranfered to WGS84 UTM ZONE 48. After the conversion, all of the data were imported into Google Earth using online web pages www.earthpoint.us. Some 222 from a 4,800 population at risk for CCA constituted a high risk group. Geo-visual display available at following www.google.com/maps/d/u/0/edit?mid=zPxtcHv_iDLo.kvPpxl5mAs90&hl=th. Geo-visual display 5 layers including: layer 1, village location and number of the population at risk for CCA; layer 2, sub-district health promotion hospital in Mueang Yang district and number of opisthorchiasis; layer 3, sub-district district and the number of population at risk for CCA; layer 4, district hospital and the number of population at risk for CCA and number of opisthorchiasis; and layer 5, district and the number of population at risk for CCA and number of opisthorchiasis. This GIS database and Google map production process is suitable for further monitoring, surveillance, and home health care for CCA sufferers.

Topic change monitoring study based on Blue House national petition using a control chart (관리도를 활용한 국민청원 토픽 모니터링 연구)

  • Lee, Heeyeon;Choi, Jieun;Lee, Sungim;Son, Won
    • The Korean Journal of Applied Statistics
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    • v.34 no.5
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    • pp.795-806
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    • 2021
  • Recently, as text data through online channels have become vast, there is a growing interest in research that summarizes and analyzes them. One of the fundamental analyses of text data is to extract potential topics. Although the researcher may read all the data and summarize the contents one by one, it is not easy to deal with large amounts of data. Blei and Lafferty (2007) and Blei et al. (2003) proposed topic modeling methods for extracting topics using a statistical model. Since the text data is generally collected over time, it is worthwhile to monitor the topic's changes. In this study, we propose a topic index based on the results of the topic model. In addition, a control chart, a representative tool for statistical process management, is applied to monitor the topic index over time. As a practical example, we use text data collected from Blue House National Petition boards between March 5, 2018, and March 5, 2020.

Factors associated with the attitude of South Korean adults toward food aid to North Korea (남한 성인의 대북식량지원에 대한 태도 관련 요인)

  • Nam, Youngmin;Yoon, Jihyun
    • Journal of Nutrition and Health
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    • v.53 no.2
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    • pp.215-229
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    • 2020
  • Purpose: This study examines the attitude of South Korean adults toward food aid to North Korea and factors associated with it. Methods: An online survey involving 1,000 adults aged 19-69 years was conducted between September-October 2019. Throughout South Korea, the subjects were proportionally distributed with respect to gender, age, and region, to represent South Korean adults. Results: A total of 44.6% of the respondents agreed (Agreement group), 36.7% disagreed (Disagreement group), and 18.7% neither agreed nor disagreed to food aid to North Korea. Compared to the Disagreement group, the Agreement group had a higher concern of food aid to North Korea and a more positive perception on the effect of it. The Agreement group selected "direct assistance from the government" whereas the Disagreement group chose "support through international organizations" as the most appropriate channel for food aid to North Korea. Logistic regression analysis revealed that South Korean adults showing a more positive perception on the effect of food aid to North Korea were more likely to agree to the aid (odds ratio [OR], 19.32). Moreover, compared to the conservatives, the progressives were more likely to agree to food aid to North Korea (OR, 5.94). South Korean adults in their 40-50s were more likely to agree to food aid to North Korea than those in their 20-30s (OR, 2.81). South Korean adults with a higher concern of food aid to North Korea (OR, 3.93) and a greater positive perception on Korean unification (OR, 1.88) were more likely to agree to food aid to North Korea. Conclusion: The most important factor associated with the attitude of South Korean adults toward food aid to North Korea was their perception on the subsequent effect. As strategies to draw social consensus on food aid to North Korea, we recommend systematizing the monitoring process on the effect of providing food aid to North Korea and informing the public of the outcomes.

The Characteristics and Performances of Manufacturing SMEs that Utilize Public Information Support Infrastructure (공공 정보지원 인프라 활용한 제조 중소기업의 특징과 성과에 관한 연구)

  • Kim, Keun-Hwan;Kwon, Taehoon;Jun, Seung-pyo
    • Journal of Intelligence and Information Systems
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    • v.25 no.4
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    • pp.1-33
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    • 2019
  • The small and medium sized enterprises (hereinafter SMEs) are already at a competitive disadvantaged when compared to large companies with more abundant resources. Manufacturing SMEs not only need a lot of information needed for new product development for sustainable growth and survival, but also seek networking to overcome the limitations of resources, but they are faced with limitations due to their size limitations. In a new era in which connectivity increases the complexity and uncertainty of the business environment, SMEs are increasingly urged to find information and solve networking problems. In order to solve these problems, the government funded research institutes plays an important role and duty to solve the information asymmetry problem of SMEs. The purpose of this study is to identify the differentiating characteristics of SMEs that utilize the public information support infrastructure provided by SMEs to enhance the innovation capacity of SMEs, and how they contribute to corporate performance. We argue that we need an infrastructure for providing information support to SMEs as part of this effort to strengthen of the role of government funded institutions; in this study, we specifically identify the target of such a policy and furthermore empirically demonstrate the effects of such policy-based efforts. Our goal is to help establish the strategies for building the information supporting infrastructure. To achieve this purpose, we first classified the characteristics of SMEs that have been found to utilize the information supporting infrastructure provided by government funded institutions. This allows us to verify whether selection bias appears in the analyzed group, which helps us clarify the interpretative limits of our study results. Next, we performed mediator and moderator effect analysis for multiple variables to analyze the process through which the use of information supporting infrastructure led to an improvement in external networking capabilities and resulted in enhancing product competitiveness. This analysis helps identify the key factors we should focus on when offering indirect support to SMEs through the information supporting infrastructure, which in turn helps us more efficiently manage research related to SME supporting policies implemented by government funded institutions. The results of this study showed the following. First, SMEs that used the information supporting infrastructure were found to have a significant difference in size in comparison to domestic R&D SMEs, but on the other hand, there was no significant difference in the cluster analysis that considered various variables. Based on these findings, we confirmed that SMEs that use the information supporting infrastructure are superior in size, and had a relatively higher distribution of companies that transact to a greater degree with large companies, when compared to the SMEs composing the general group of SMEs. Also, we found that companies that already receive support from the information infrastructure have a high concentration of companies that need collaboration with government funded institution. Secondly, among the SMEs that use the information supporting infrastructure, we found that increasing external networking capabilities contributed to enhancing product competitiveness, and while this was no the effect of direct assistance, we also found that indirect contributions were made by increasing the open marketing capabilities: in other words, this was the result of an indirect-only mediator effect. Also, the number of times the company received additional support in this process through mentoring related to information utilization was found to have a mediated moderator effect on improving external networking capabilities and in turn strengthening product competitiveness. The results of this study provide several insights that will help establish policies. KISTI's information support infrastructure may lead to the conclusion that marketing is already well underway, but it intentionally supports groups that enable to achieve good performance. As a result, the government should provide clear priorities whether to support the companies in the underdevelopment or to aid better performance. Through our research, we have identified how public information infrastructure contributes to product competitiveness. Here, we can draw some policy implications. First, the public information support infrastructure should have the capability to enhance the ability to interact with or to find the expert that provides required information. Second, if the utilization of public information support (online) infrastructure is effective, it is not necessary to continuously provide informational mentoring, which is a parallel offline support. Rather, offline support such as mentoring should be used as an appropriate device for abnormal symptom monitoring. Third, it is required that SMEs should improve their ability to utilize, because the effect of enhancing networking capacity through public information support infrastructure and enhancing product competitiveness through such infrastructure appears in most types of companies rather than in specific SMEs.