• Title/Summary/Keyword: learning organization

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Water Level Prediction on the Golok River Utilizing Machine Learning Technique to Evaluate Flood Situations

  • Pheeranat Dornpunya;Watanasak Supaking;Hanisah Musor;Oom Thaisawasdi;Wasukree Sae-tia;Theethut Khwankeerati;Watcharaporn Soyjumpa
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.31-31
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    • 2023
  • During December 2022, the northeast monsoon, which dominates the south and the Gulf of Thailand, had significant rainfall that impacted the lower southern region, causing flash floods, landslides, blustery winds, and the river exceeding its bank. The Golok River, located in Narathiwat, divides the border between Thailand and Malaysia was also affected by rainfall. In flood management, instruments for measuring precipitation and water level have become important for assessing and forecasting the trend of situations and areas of risk. However, such regions are international borders, so the installed measuring telemetry system cannot measure the rainfall and water level of the entire area. This study aims to predict 72 hours of water level and evaluate the situation as information to support the government in making water management decisions, publicizing them to relevant agencies, and warning citizens during crisis events. This research is applied to machine learning (ML) for water level prediction of the Golok River, Lan Tu Bridge area, Sungai Golok Subdistrict, Su-ngai Golok District, Narathiwat Province, which is one of the major monitored rivers. The eXtreme Gradient Boosting (XGBoost) algorithm, a tree-based ensemble machine learning algorithm, was exploited to predict hourly water levels through the R programming language. Model training and testing were carried out utilizing observed hourly rainfall from the STH010 station and hourly water level data from the X.119A station between 2020 and 2022 as main prediction inputs. Furthermore, this model applies hourly spatial rainfall forecasting data from Weather Research and Forecasting and Regional Ocean Model System models (WRF-ROMs) provided by Hydro-Informatics Institute (HII) as input, allowing the model to predict the hourly water level in the Golok River. The evaluation of the predicted performances using the statistical performance metrics, delivering an R-square of 0.96 can validate the results as robust forecasting outcomes. The result shows that the predicted water level at the X.119A telemetry station (Golok River) is in a steady decline, which relates to the input data of predicted 72-hour rainfall from WRF-ROMs having decreased. In short, the relationship between input and result can be used to evaluate flood situations. Here, the data is contributed to the Operational support to the Special Water Resources Management Operation Center in Southern Thailand for flood preparedness and response to make intelligent decisions on water management during crisis occurrences, as well as to be prepared and prevent loss and harm to citizens.

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A Case Study on the Learning Organization Plan as Foundation of Knowledge Management Introduction in the Construction Companies - Focus on changes in IIAC(Incheon International Airport Corporation) Organization - (건설업 지식경영 도입 기반으로서 학습조직 구축방안 - IIAC(인천국제공항공사) 조직변화 사례적용 -)

  • Hwang In-Bae;Kim Kyung-Rai
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.363-368
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    • 2001
  • Nowadays, the domestic construction markets are more competitive and the construction companies are very difficult to obtain profits. To overcome this situation, some construction companies are looking for value added business areas. To create and enter into the value added business areas, knowledge management to create, share and apply knowledge is important. However, the existing knowledge management has problems because it does not consider organizational culture. Therefore, strategic changes of person and organization are needed to improve the existing knowledge management. In this study, learning organization plan is suggested as a foundation of knowledge management in the construction companies and examined by IIAC(Incheon International Airport Corporation) case.

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QUALITY MANAGEMENT SYSTEM FOR NUCLEAR EDUCATION CENTRES

  • Sadagopan, Geetha;Kim, Hyunkee;Son, Miyeon
    • Journal of Radiation Protection and Research
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    • v.37 no.4
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    • pp.173-176
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    • 2012
  • Quality Management is a recent phenomenon. This is applied to products or services, with an objective to deliver high quality, reliable, worthy, enduring, product or service. The process is considered to have four main components: quality planning, quality control, quality assurance and quality improvement. Focusing on quality control and quality assurance leads to achieving quality management or ensures that an organization or product is consistent. In this paper, the applicable international standard for learning services and for the organization for education and training (learning service provider) is discussed and also the procedure to implement the management system.

Implementation of Total Quality Management, Lessons Learned

  • Haas, Thomas J.
    • Proceedings of KOSOMES biannual meeting
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    • 2000.05a
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    • pp.27-36
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    • 2000
  • Managing quality is nothing new, but it increasingly become more challenging. Demands form customers, flatter organizations, measuring and assessing outcomes, stiffer competition for resources, technology, environmental concerns and others, all have created changes in the workplace for which enhanced leadership is needed. TQM, CQI, TQL, (managing quality), other acronyms can be summarized as a means of moving an organization into the new millennium with a keen focus on people, service, efficiencies, effectiveness and excellence. It is not an accident. It is the result of a clear, well-directed strategically focused thinking. Attention to quality encourages individuals and teams throughout organizations to continually learn, think and contribute ideas on how to explore processes that affect them. The organization must change into a learning organization that seeks to continually improve its processes and services. This learning attitude requires a cultural shift from autocratic to more participatory leadership. This presentation will examine the principles and lessons learned form implementation of quality initiatives from different organizations. Many of the themes shared are independent of the source and, as such, may be helpful in validating what you are doing or give you ideas on leading and implementing change within your organizations.

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The Impact of Information Technology on Organizational Performance: The Mediating Effect of Organizational Learning

  • KHAN, Umair;ZHANG, Yongan;SALIK, Madiha
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.987-998
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    • 2020
  • This study aims to examine OL as a potential mediating variable in the relationship between IT and organizational performance. Organizational learning (OL) has been proposed as the mechanism to accomplish this task. Existing empirical research demonstrates that OL may indeed act as a mediator for the effect of IT on organizational outcomes. Also, existing literature discusses the use of technology in the organization, and the case for OL as the key knowledge process, and the intersection between technology and OL as a knowledge-based means for improving organizational performance. Many studies use a descriptive measure of OL despite the theory suggesting that a normative measure may be more appropriate. This study aims to address these concerns in a setting by using structural equation modelling (SEM) to compare the effectiveness of descriptive and normative measures of OL as mediating variables in knowledge-intensive organizations. Survey results support OL as a mediator between IT and organizational performance in addition to normative measures of OL outperforming descriptive measures. Implications for research and practice are discussed. To test the model, we will apply (SEM) structural equation modeling in the analysis of a moment structures (AMOS) on the empirical evidence collected from 218 Pakistani CEOs and top managers.

An Analysis of Computer Programming Learning Efficiency Depending on the Way of Learning Community Organization (학습 공동체 구성 방법에 따른 컴퓨터 프로그래밍 학습 효과 분석)

  • Ahn, You Jung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2015.01a
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    • pp.293-294
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    • 2015
  • 본 논문에서는 컴퓨터 프로그래밍 수업에 피어 튜터링을 적용할 때 팀 구성 방법을 다르게 하여 참여 학습자들의 성적 변화를 비교해보았다. 그 결과 팀 구성시 친분보다는 수준을 고려할수록 성적 상승에 긍정적으로 작용했으며 특히 친분에 의한 팀 구성시 학습자들의 학습 수준 차이가 크면 상위 학습자 성적 하력이 더 큰 것으로 분석되었다.

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The Moderated Mediating Effect of Organization Cultural unbalance on the relationship among the Protean Career Orientation, Continuous Learning Activity and Subjective Career Success (프로티언경력지향성, 지속학습활동, 주관적 경력성공의 관계에서 조직문화 불균형성의 조절된 매개효과)

  • Kim, Na-Young;Jung, Sung Cheol
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.477-489
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    • 2021
  • This study was conducted to confirm whether organization culture unbalance plays a role as a moderating variable on the mediation process that protean career orientation influences subjective career success through continuous learning activity. To this end, a survey was carried out on 276 office workers with more than 5 years of work experience in large companies, and the data were analyzed using SPSS 25 and Process Macro v3.5. The results showed that continuous learning activity mediates the relationship of protean career orientation affecting subjective career success, but moderating effect of organizational culture unbalance and the moderated mediation effect were not statistically significant. However, statistical significance was found on the moderating effect of organizational culture unbalance on the mediation process, that 'self-direction', protean career orientation's sub-factor, affects subjective career success and its' sub-factor 'employability', and 'career satisfaction' through continuous learning activity. The significance and limitations of our findings are also discussed.

Calculated Damage of Italian Ryegrass in Abnormal Climate Based World Meteorological Organization Approach Using Machine Learning

  • Jae Seong Choi;Ji Yung Kim;Moonju Kim;Kyung Il Sung;Byong Wan Kim
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.43 no.3
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    • pp.190-198
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    • 2023
  • This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMYnormal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

A Study on the Influences of Enterprise Organizational Effectiveness in Learning Organization Activity (학습조직활동이 조직 유효성에 미치는 영향)

  • Yoo, Ji-Chul
    • Proceedings of the Safety Management and Science Conference
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    • 2010.11a
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    • pp.473-482
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    • 2010
  • 지식기반경제사회에서 지식을 습득하고 행동할 수 있는 능력을 갖춘 인적자원이야 말로 기업의 핵심경쟁력 이라는 것은 자명한 것이다. 디지털시대로 특징지어지는 21세기에는 지식이야말로 기업의 경쟁우위에 중요한 영향을 미칠 것이다. 기업은 디지털시대에 있어서 경쟁우위를 확보하기 위하여 학습조직의 활성화는 기업의 경쟁에 있어서 중요한 핵심요소가 된다. 그러나 대부분 기업들이 학습활동을 하면서도 학습조직의 활성화가 기업에 어떠한 영향을 미치는지에 대한 분석은 미흡한 실정이다. 따라서 본 연구는 학습조직의 활성화가 기업조직의 유효성에 미치는 영향에 관한 분석을 실시하였다. 연구의 결과 기업학습조직 활성화에 지속적 학습, 시스템적 사고, 조직몰입 등이 기업조직의 유효성에 유의하게 판단되었다.

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A Study on the Influences of Enterprise Organizational Effectiveness in Learning Organization Activity. (학습조직활동이 조직 유효성에 미치는 영향)

  • Yoo, Ji-Chul
    • Journal of the Korea Safety Management & Science
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    • v.11 no.4
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    • pp.287-292
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    • 2009
  • 지식기반경제사회에서 지식을 습득하고 행동할 수 있는 능력을 갖춘 인적자원이야말로 기업의 핵심경쟁력 이라는 것은 자명한 것이다. 디지털시대로 특징지어지는 21세기에는 지식이야말로 기업의 경쟁우위에 중요한 영향을 미칠 것이다. 기업은 디지털 시대에 있어서 경쟁우위를 확보하기 위하여 학습조직의 활성화는 기업의 경쟁에 있어서 중요한 핵심요소가 된다. 그러나 대부분 기업들이 학습활동을 하면서도 학습조직의 활성화가 기업에 어떠한 영향을 미치는지에 대한 분석은 미흡한 실정이다. 따라서 본 연구는 학습조직의 활성화가 기업조직의 유효성에 미치는 영향에 관한 분석을 실시하였다. 연구의 결과 기업학습조직 활성화에 지속적 학습, 시스템적 사고, 조직몰입 등이 기업조직의 유효성에 유의하게 판단되었다.