• Title/Summary/Keyword: Monitoring and Analysis Systems

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Analysis of Recipes for Korean Foods in Web Sites (레시피 관련 웹 사이트 중 한국음식 레시피의 자료 분석 및 검토)

  • Yun, Mi-Ok;Mun, Hyeon-Gyeong
    • Journal of the Korean Dietetic Association
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    • v.10 no.4
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    • pp.390-400
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    • 2004
  • Food and nutrition sites are the major portion of the health information sites. For the point of public health it is very important to secure validity and reliability of information on those web sites. Therefore, in this study we would like to identify problems when acquiring recipes in web sites by analyzing and reviewing recipes in web sites. To investigate Korean food recipes provided in web sites, domestic search engines such as Simmani, Naver, Hanmir, and Empas and foreign search engines such as Yahoo Korea, Lycos and Altabista Korea were used. Searchs were done using 'recipe' and 'Joribeob (cooking method)' from March 20, 2002 to June 20, 2002. Informations in each sites were reviewed and analyzed Results are as follow; When classifying 46sites searched with 'Joribeob' by the information provider, 24sites were individual, 16sites were corporate and 6sites were others. When searching 'recipe', total 12,654recipes were returned. Out of them, individual provided 2,581sites(20.4%), corporate provided 7,249sites(57.3%), and others provided 2,824sites(22.3%). 9,979(78.9%) recipes out of 12,654recipes were proved to be appropriate as Korean food. Classifying recipes by dish group, vegetables 11.7%, soups and hot soups 9.7%, stew and casseroles 8.2%, pan cakes 8.0%, stir fried foods and skewers 7.8%, rice 7.2%, hard boiled food 7.1%, steam 6.4%, noodles and mandu 5.3%, Kimchi 4.5%, fried 4.1%, and porridge 3.7% in order. 21.1% of recipes were not appropriate as Korean food but provided as Korean Food. The proportion of individual as the information provider were higher than that of enterprises. Recipes from enterprises were based on food and nutrient information and more reliable. However, there were some cases that they provided the same amount of ingredients with different calories or provided the same calories with different ingredients. Additionally, depending on sites, they provided different calories even for the same recipe. There were some cases that the calories provided on the site were too high or too low, for the suggested amount of ingredients and serving size. Recipes those provide amount of calories were evaluated using the nutrient analysis program. Calculated calories and provided calories on the Web were compared together. There are difference between two valus. With these results, it may lead misuse of recipe by those who need accuracy in diet such as patients or who are interested in recipe information for academic purposes. These results could be used as basic materials to improve quantity and quality of recipes in the future. Also, to improve the accuracy of recipies for Korean foods in the web sites, there should be some systems to monitor and let internet users know monitoring results.

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Innovative Technology of Teaching Moodle in Higher Pedagogical Education: from Theory to Pactice

  • Iryna, Rodionova;Serhii, Petrenko;Nataliia, Hoha;Kushevska, Natalia;Tetiana, Siroshtan
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.153-162
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    • 2022
  • Relevance. Innovative activities in education should be aimed at ensuring the comprehensive development of the individual and professional development of students. The main idea of modular technology is that the student should learn by himself, and the teacher manages his learning activities. The advantage of modular technology is the ability of the teacher to design the study of the material in the most interesting and accessible forms for this part of the study group and at the same time achieve the best learning results. Innovative Moodle technology. it is gaining popularity every day, significantly expanding the space of teaching and learning, allowing students to study inter-faculty university programs in depth. The purpose of this study is to assess the quality of implementation of the e-learning system Moodle. The study was conducted at the South Ukrainian National Pedagogical University named after K. D. Ushinsky in order to identify barriers to the effective implementation of innovative distance learning technologies Moodle and introduce a new model that will have a positive impact on the development of e-learning. Methodology. The paper used a combination of theoretical and empirical research methods. These include: scientific analysis of sources on this issue, which allowed us to formulate the initial provisions of the study; analysis of the results of students 'educational activities; pedagogical experiment; questionnaires; monitoring of students' activities in practical classes. Results. This article evaluates the implementation of the principles of distance learning in the process of teaching and learning at the University in terms of quality. The experiment involved 1,250 students studying at the South Ukrainian National Pedagogical University named after K. D. Ushinsky. The survey helped to identify the main barriers to the effective implementation of modern distance learning technologies in the educational process of the University: the lack of readiness of teachers and parents, the lack of necessary skills in applying computer systems of online learning, the inability to interact with the teaching staff and teachers, the lack of a sufficient number of academic consultants online. In addition, internal problems are investigated: limited resources, unevenly distributed marketing advantages, inappropriate administrative structure, and lack of innovative physical capabilities. The article allows us to solve these problems by gradually implementing a distance learning model that is suitable for any university, regardless of its specialization. The Moodle-based e-learning system proposed in this paper was designed to eliminate the identified barriers. Models for implementing distance learning in the learning process were built according to the CAPDM methodology, which helps universities and other educational service providers develop and manage world-class online distance learning programs. Prospects for further research focus on evaluating students' knowledge and abilities over the next six months after the introduction of the proposed Moodle-based program.

Reviews on the Adaptation Strategy to Climate Change -Application to the Sea Level Rise- (기후변화 적응방안 연구 -해수면 상승을 중심으로-)

  • Cho Kwangwoo;Maeng Jun-Ho;Kim Hae-Dong;Oh Young Min;Kim Dong-Sun;Kim Mu Chan;Yoon Jong Hwui
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.10 no.2 s.21
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    • pp.81-88
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    • 2004
  • We review the adaptation strategies of the 21st climate change in an application to sea level rise. For the development of appropriate adaptation strategies on the coast vulnerable to the sea level rise, we have to consider the issues such as where to adapt, how to adapt, and when to adapt. The coastal target needed adaptation can be found by the evaluation of adaptive capacity of the coastal zone which requires the understanding of impacts and adaptive potential of the natural and socioeconomic systems in the coastal zone. Planned adaptation options to sea level rise can be classified into three generic approaches as managed retreat, accommodation, and protection In practice, the implementation of the options requires the analysis of land use, degree of vulnerability, cost and benefit, etc, and may be combination of the options rather than one approach. In terms of the response timing, the adaptation can be grouped as anticipatory and reactive ones. Generally it is more effective to consider both anticipatory and reactive adaptations at the same time for the impacts of future sea level rise. Due to the scientific uncertainty of climate change issues including sea level rise, the adaptation processes have to be designed to deal with a series of processes such as information md awareness establishment, planning and design implementation, and monitoring and evaluation in continuity and long-term period.

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Literature Review of Key Success Factors of Management Innovation Actions in Domestic - Focused on Six Sigma, TQM, Lean Six Sigma, ERP, TPM, BPR, Project Management, System Engineering - (국내 경영혁신 활동의 핵심 성공요인 문헌 연구 - 6시그마, TQM, 린 6시그마, ERP, TPM, BPR, Project Management, System Engineering 중심으로 -)

  • Mun, JeOk;Yoon, SungPil
    • Journal of Korean Society for Quality Management
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    • v.44 no.3
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    • pp.639-648
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    • 2016
  • Purpose: Existing precedent studies include success factors of individual management innovation activities constantly. However, those studies have limitations about the common key success factors of individual management innovation activities. Methods: For this study, we investigate the key success factors using literature research of the most typical management innovation activities adopted and implemented by many companies in Korea, such as 6sigma, TQM, Lean 6sigma, ERP, TPM, BPR, Project Management, System Engineering. Factors emerging repeatedly was combined into common factors and inherent factors that are necessary for the success of individual management innovation activities are designated to essential factors. Results: 'Essential factors for Six Sigma' consist of 5 items. Black belt operating system, personnel management system linkage, the correct management of the data, perform improvement projects associated with financial performance financial result, linked to financial performance improvement project, project progress management. 'Essential factors of TQM' are arranged 4 items. Quality team's independence and role, goal-setting, Quality Information System, corporate's philosophy of quality first. 'Essential factors of Lean Six Sigma' are the selection of value stream which is based on the customer needs and the value creation and identify the project based on the selected value in the company. 'Essential factors of ERP' are investigated 6 items. Ongoing system maintenance and upgrades, the measurement and support of user satisfaction, the operating systems and the policies for the maintenance, IT infrastructure, change adaption condition monitoring, focusing on improving business performance. 'Essential factors for TPM' are arranged 4 items. Motivated and energetic Bottom-Up, CEO's recognition of the importance facility management, long-term perspective of necessity and ongoing patience. 'Essential factors for BPR' are the pursuit of change process and the staff's sense of crisis management. 'Essential factors for Project Management' are the strategy that reduce the risk management skills through risk management and the understanding and organized management for the project participant's needs. 'Essential factors for System Engineering' consist of 2 items. The first is the design for the best balanced system with pre-analysis about the compromise the cost, schedule and the performance. The second is the analysis of large problem into small problems which can solved. We have found the solution considering components of the interface through the systematic perspective. Conclusion: Common factors and essential factors presented in this study will properly help to introduce the individual management innovation activities for the each business sector and implement management innovation. After this study, new literature research that reflect new studies should accomplish steadily.

A Study on the Development of Topic Map for Analysis of Customer Satisfaction in Tourism Industry (관광산업의 고객만족도 분석을 위한 토픽맵 개발에 관한 연구)

  • Kang, Min Shik
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.249-255
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    • 2017
  • The domestic tourism industry mostly relies on quantitative surveys for customer satisfaction. However, customer participation of the questionnaires is extremely low and the improvement of the dissatisfactory factors is not being performed promptly. In this paper, we propose a new topic map system and prove its empirical effectiveness to improve the accuracy of customer feedback information and the efficiency of the analysis process. The topic map system is a system for analyzing large amounts of customer feedback data in real time. It uses text mining and ontology techniques by integrating data collected over a certain period from real-time SNS and quantitative data obtained from existing survey systems. The effect after improving the analyzed factors of dissatisfaction is also a new and innovative evaluation system for monitoring customer satisfaction in real time. The classification based on this integrated data is a classification system that is specific to the product or the customer. According to this classification, it is possible to measure the effect of the recognition and improvement of the complaint factor in real time on the topic map system. This provides a sophisticated prioritization of the improvement factors and enables customer satisfaction quality control as a PDCA feedback system. In addition, the survey period and costs are greatly shortened, and responses can be more precise to the existing survey method. As a practical application, this system is applied to the largest H travel agency in Korea to prove the accuracy and efficiency of the proposed system.

An Importance-Performance Analysis of Secondary Science Teachers' Adaptive Practice (중등 과학교사의 적응적 실행에 대한 중요도-실행도 분석)

  • Heekyong Kim
    • Journal of The Korean Association For Science Education
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    • v.43 no.3
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    • pp.295-306
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    • 2023
  • In this study, we explored science teachers' perceptions of adaptive practice in terms of importance and practice. For this purpose, an adaptive practice questionnaire was developed targeting secondary science teachers, and the responses of 128 science teachers were analyzed. The results of this study were as follows: First, the science teachers responded that all 17 items regarding adaptive practice were important. In particular, items related to 'addition of examples', 'adjustment of the level/range of concepts', and 'encouragement of student participation' showed high importance and performance levels. Second, the results of the IPA concerning adaptive practice showed that the items needing intensive improvement due to high importance but low performance were 'encouraging students' self-directed learning' and 'monitoring and responding to individual differences'. The science teachers identified a lack of time and uniform curriculum as the reasons for the low level of practice despite the high importance of these items. Third, regarding the IPA of the adaptive practice items, the items located in the fourth area, an excessive area, concerned 'pace control', 'modifying activities', and 'metaphor use'. More specifically, considering that 'metaphor use' was the only item with a higher level of performance than importance, it is necessary to reconsider whether problems are caused by excessive use. Fourth, analyzing the responses regarding the reasons for the difference in importance and performance revealed that the factors related to teachers included teachers' lack of knowledge or ability, and the tendency to implement as planned. As for student factors, an excessive number of students, differences in the levels of students, and a tendency to prefer classes centered on entrance exams were identified. As environmental factors, a uniform curriculum, conditions for experiments, evaluation systems, and external demands were mentioned. Finally, the implications of the results of this study for science education were discussed.

Study on the Experience of Unbelief in the Process of Providing Home Visiting Care Service: Focusing on the perspective of the Facility Director (재가방문요양 서비스 제공과정에서 겪는 불신경험에 관한 연구: 시설운영자 관점을 중심으로)

  • Jun-Suk Kim;Ji-Hye Kim;Jung-Mi Kim;Mi-Young Park;Byung Woo Lim
    • Journal of Industrial Convergence
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    • v.21 no.10
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    • pp.65-80
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    • 2023
  • Through inductive content analysis, this study sought to examine the crisis experienced by the institution, the quality of service, and the distrust of the system and institution based on the experience of distrust in the home-visiting care service of bbeneficiary and guardians. FGI was conducted on five managers of institutions that provide home-visiting care services. As a result, the central phenomenon was found: deterioration of service quality, distrust of systems and institutions, and difficulties in opera-ting long-term care institutions. In order to improve the quality of home-visited care services and build trust in care workers and institutions, first, home-based associations or operating corporations should develop new education program plans and manuals to strengthen the capabilities of care workers and social workers. Second, the NHIS's monitoring system and the professional management system of care workers should be established. Third, it is necessary to improve awareness of the role, expertise, and rights of care workers, and fourth, improvement measures are required to reduce the turnover rate of care workers, which is the cause of the deterioration of the quality of long-term care services.

An Improvement of Kubernetes Auto-Scaling Based on Multivariate Time Series Analysis (다변량 시계열 분석에 기반한 쿠버네티스 오토-스케일링 개선)

  • Kim, Yong Hae;Kim, Young Han
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.3
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    • pp.73-82
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    • 2022
  • Auto-scaling is one of the most important functions for cloud computing technology. Even if the number of users or service requests is explosively increased or decreased, system resources and service instances can be appropriately expanded or reduced to provide services suitable for the situation and it can improves stability and cost-effectiveness. However, since the policy is performed based on a single metric data at the time of monitoring a specific system resource, there is a problem that the service is already affected or the service instance that is actually needed cannot be managed in detail. To solve this problem, in this paper, we propose a method to predict system resource and service response time using a multivariate time series analysis model and establish an auto-scaling policy based on this. To verify this, implement it as a custom scheduler in the Kubernetes environment and compare it with the Kubernetes default auto-scaling method through experiments. The proposed method utilizes predictive data based on the impact between system resources and response time to preemptively execute auto-scaling for expected situations, thereby securing system stability and providing as much as necessary within the scope of not degrading service quality. It shows results that allow you to manage instances in detail.

Evaluation of the Effect of Mine Drainage on the Aquatic Environment by Quantitative Real-time PCR (실시간 정량 중합효소연쇄반응을 이용한 광산 배수의 수계 영향 평가)

  • Han, Ji-Sun;Seo, Jang-Won;Ji, Won-Hyun;Park, Hyun-Sung;Kim, Chang-Gyun
    • Journal of Korean Society of Environmental Engineers
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    • v.32 no.2
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    • pp.121-130
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    • 2010
  • Metals and sulfate can be considerably dissolved at low pH condition in the acid mine drainage(AMD) and it would make an environmental problems. There are only few of acid mine drainage treatment systems in Korea which are operating, but these still have an effect on the surrounding stream. In this study, quantification of indicator microorganisms was conducted to judge the environmental impact of AMD on microflora by quantitative real-time PCR in the drainage samples of four mines and the water samples of each surrounding stream. Two species of iron reducing bacteria(Rhodoferax ferrireducens T118 and Acidiphilium cryptum JF-5) were selected for indicator bacteria based on 16S rRNA cloning analysis, and sulfate reducing bacteria(Desulfosporosinus orientus), iron and sulfur oxidizing bacteria(Acidothiobacillus ferrooxidans) and iron oxidizing bacteria(Leptosprillum ferrooxidans) were included into indicator since these were found in the previous studies on the mining area. Thereafter, the comparative analysis of four mines were established by the microbiological variation index and it was determined that the biological environment effect of AMD is highest in Samtan mine which doesn t contain treatment system by the value.

A Study on Model for Social Return for the Prevention of Recidivism of Sexual Violence Criminals Based on Big Data (빅데이터 기반 성폭력범죄자 재범방지를 위한 사회지원모델에 관한 연구)

  • Oh, Sei Youen
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.535-542
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    • 2021
  • Purpose: The purpose of this study is to prevent recidivism by recognizing the seriousness of recidivism against sexual offenders under the age of 13 and providing customized social adaptation services based on risk. Method: The study evaluate the efficiency of existing models and proposed model systems, and compare and review what features and operational differences exist from existing models. Result: The proposed model will collect data from related agencies on sexual violence offenders with a high risk of recidivism and classify them into three risk groups through risk algorithms to provide social adaptation services for each risk group. In addition, by monitoring primary social support matching data, storing and re-analyzing the results data to rematch social support services, the model differs from the existing model in preventing recidivism of sexual violence offenders from a long-term perspective. Conclusion: The proposed model of this study is meaningful in that it proposed the basic data of a response system to prevent recidivism from a long-term perspective of sexual offenders with the highest risk of recidivism by collecting and analyzing data on sexual offenders.