• Title/Summary/Keyword: analytics

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A Future Prospect for Change in each Step of Six Sigma DMAIC under the 4th Industrial Revolution (4차 산업혁명 하에서의 6 시그마 DMAIC 단계별 변화에 대한 전망)

  • Kwon, Hyuck Moo;Hong, Sung Hoon;Lee, Min Koo
    • Journal of Korean Society for Quality Management
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    • v.46 no.1
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    • pp.1-10
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    • 2018
  • Purpose: This paper provides an idea on the future prospect for change in steps of the six sigma DMAIC project under the environment of the 4th industrial revolution. Methods: First, the purpose and activities required in each step of DMAIC are reviewed. Next, activities are reviewed together with tools and techniques, considering the purpose and the environmental changes of the 4th Industrial Revolution. Finally, the best approaches for achieving the purpose are prospected to get an idea on future change. Results: The purpose of each phase of DMAIC is expected to remain unchanged. But activities, techniques, or methods will be replaced with more effective and efficient ones. Also, many activities may possibly be executed by a system instead of people like BB, GB or team members. Moreover, DMAIC may not be a project any more but a routine job of the system in the future. Conclusion: Under the environment of the 4th industrial revolution, many activities including analyzing various types of data and extracting valuable information, will be executed by a system with proper algorithms instead of people. And six sigma improvement projects may be intrinsic parts of the system and may not exist as separate projects any more.

Medical Service Variation of Urinary Incontinence Surgery and Uterine Polypectomy Using a Multilevel Analysis (다수준 분석을 이용한 요실금수술과 자궁폴립제거술의 의료서비스 변이)

  • Kim, Sang Me;Ahn, Bo Ryung;Kim, Jeong Lim;Lee, Hae Jong
    • Health Policy and Management
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    • v.30 no.1
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    • pp.82-91
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    • 2020
  • Background: This study investigates the influence factors of medical service variations using medical charge and the length of stay (LOS) for urinary incontinence surgery and uterine polypectomy. Methods: The National Health Insurance claims data and Medical Resource Report by the Health Insurance Review & Assessment Service in 2016 were used. Frequency analysis, one-way analysis of variance, and Bonferroni post-hoc tests were executed for each surgery. A multilevel analysis was executed to assess the factors to the medical charge and LOS for each surgery in patient, doctor, and hospital level. Results: Fifty-two point eight percent of urinary incontinence surgery and 87.1% of uterine polypectomy were distributed in general and tertiary hospitals. Among three levels, the patient level variation was 61.5% or 77.2% in medical charge and 93.9% or 96.3% in LOS, respectively. The doctor level variation was 29.6% or 22.6% in medical charge and 0.6% or 0.0% in LOS, respectively. The institution level variation was 8.9% or 0.2% in medical charge and 5.5% or 3.7% in LOS, respectively. Number of other disease and organizational type were main factors that affected the charge and LOS for urinary incontinence surgery and uterine polypectomy. Conclusion: Medical service variations of the urinary incontinence surgery and uterine polypectomy were the largest for the patient level, followed by doctor level for the medical charge, and the institution level for the LOS.

A study on the experimental model of supplementary measures for food safety certification system of GAP (우수농산물 관리제도의 안전성 인증기능 보완을 위한 시험 모형연구)

  • Yoon, Jae-Hak;Ko, Seong-Bo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.11
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    • pp.3384-3389
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    • 2009
  • There are two major problems with current National GAP system. One was false in traceability record because it was written or inputted by farmers or distributers and no other measures to check the accuracy was valid. The other was incapability of tracking back and recalling the contaminated agricultural products. For solving these matters, IT convergence model which combined information technology with agricultural experience is elaborated. In IT convergence model, video analytic system classifies every activity depending on the pre-programmed farming process and create the traceability data automatically. Also real time trace system based on USN would solve the problem of tracking back. This system transmits the present location and monitors data of agricultural products from farm to table at all times.

Computational Analytics of Client Awareness for Mobile Application Offloading with Cloud Migration

  • Nandhini, Uma;TamilSelvan, Latha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.11
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    • pp.3916-3936
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    • 2014
  • Smartphone applications like games, image processing, e-commerce and social networking are gaining exponential growth, with the ubiquity of cellular services. This demands increased computational power and storage from mobile devices with a sufficiently high bandwidth for mobile internet service. But mobile nodes are highly constrained in the processing and storage, along with the battery power, which further restrains their dependability. Adopting the unlimited storage and computing power offered by cloud servers, it is possible to overcome and turn these issues into a favorable opportunity for the growth of mobile cloud computing. As the mobile internet data traffic is predicted to grow at the rate of around 65 percent yearly, even advanced services like 3G and 4G for mobile communication will fail to accommodate such exponential growth of data. On the other hand, developers extend popular applications with high end graphics leading to smart phones, manufactured with multicore processors and graphics processing units making them unaffordable. Therefore, to address the need of resource constrained mobile nodes and bandwidth constrained cellular networks, the computations can be migrated to resourceful servers connected to cloud. The server now acts as a bridge that should enable the participating mobile nodes to offload their computations through Wi-Fi directly to the virtualized server. Our proposed model enables an on-demand service offloading with a decision support system that identifies the capabilities of the client's hardware and software resources in judging the requirements for offloading. Further, the node's location, context and security capabilities are estimated to facilitate adaptive migration.

Optimization of a microarray for fission yeast

  • Kim, Dong-Uk;Lee, Minho;Han, Sangjo;Nam, Miyoung;Lee, Sol;Lee, Jaewoong;Woo, Jihye;Kim, Dongsup;Hoe, Kwang-Lae
    • Genomics & Informatics
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    • v.17 no.3
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    • pp.28.1-28.9
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    • 2019
  • Bar-code (tag) microarrays of yeast gene-deletion collections facilitate the systematic identification of genes required for growth in any condition of interest. Anti-sense strands of amplified bar-codes hybridize with ~10,000 (5,000 each for up-and down-tags) different kinds of sense-strand probes on an array. In this study, we optimized the hybridization processes of an array for fission yeast. Compared to the first version of the array (11 ㎛, 100K) consisting of three sectors with probe pairs (perfect match and mismatch), the second version (11 ㎛, 48K) could represent ~10,000 up-/ down-tags in quadruplicate along with 1,508 negative controls in quadruplicate and a single set of 1,000 unique negative controls at random dispersed positions without mismatch pairs. For PCR, the optimal annealing temperature (maximizing yield and minimizing extra bands) was 58℃ for both tags. Intriguingly, up-tags required 3× higher amounts of blocking oligonucleotides than down-tags. A 1:1 mix ratio between up- and down-tags was satisfactory. A lower temperature (25℃) was optimal for cultivation instead of a normal temperature (30℃) because of extra temperature-sensitive mutants in a subset of the deletion library. Activation of frozen pooled cells for >1 day showed better resolution of intensity than no activation. A tag intensity analysis showed that tag(s) of 4,316 of the 4,526 strains tested were represented at least once; 3,706 strains were represented by both tags, 4,072 strains by up-tags only, and 3,950 strains by down-tags only. The results indicate that this microarray will be a powerful analytical platform for elucidating currently unknown gene functions.

Movement of Research in Mathematics Education in 1990's - focused on the master's theses in Korea - (1990년대 우리나라 수학교육연구 동향 - 석사학위논문을 중심으로-)

  • 최택영;송병근
    • The Mathematical Education
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    • v.40 no.1
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    • pp.77-92
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    • 2001
  • In this study, the number of theses conducted in 1990's for the master's degree in mathematics education was investigated in terms of their fields and themes. These theses were analysed as to how much they had been studied according to the field and whether they had conformed to the expectations and requirements for research in mathematics education under the current educational curriculum. Futhermore, this study aimed to discover advancing directions of research in mathematics education. The results are as follows: First, the rate of annual thesis presentations decreased as many as 3.82% in 1994 compared with the previous year, but the rate increased steadily in the other years showing an overall annual average increase of 8.41%. Second, in the geographical distribution of thesis presentations among local provinces, Seoul represented the highest frequency at 41.13% and Cheju Island the lowest at 1.68%. When the annual thesis presentations were analysed among regions, their number increased steadily in Seoul, but fluctuated in most other regions. Third, regarding study themes, theses on mathematics education formed 70.91% of the total while those focusing on pure mathematics formed 29.09%. Among the theses of mathematics education, most were based on teaching curriculums and the least were based on education assessment. Among the theses on teaching curriculum, teaching analytics formed the highest rate. Theses on education technology, such as computerizing and computing, have shown to be increasing annually and formed 8.95% of the total in 1999. The study also indicated that especially in the late 1990's, there have been many designed programs based on the Web, like JAVA and CGI, and studies on teaching and teaming methods using the internet.

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Detection of the Change in Blogger Sentiment using Multivariate Control Charts (다변량 관리도를 활용한 블로거 정서 변화 탐지)

  • Moon, Jeounghoon;Lee, Sungim
    • The Korean Journal of Applied Statistics
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    • v.26 no.6
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    • pp.903-913
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    • 2013
  • Social network services generate a considerable amount of social data every day on personal feelings or thoughts. This social data provides changing patterns of information production and consumption but are also a tool that reflects social phenomenon. We analyze negative emotional words from daily blogs to detect the change in blooger sentiment using multivariate control charts. We used the all the blogs produced between 1 January 2008 and 31 December 2009. Hotelling's T-square control chart control chart is commonly used to monitor multivariate quality characteristics; however, it assumes that quality characteristics follow multivariate normal distribution. The performance of a multivariate control chart is affected by this assumption; consequently, we introduce the support vector data description and its extension (K-control chart) suggested by Sun and Tsung (2003) and they are applied to detect the chage in blogger sentiment.

An Empirical Study on the Marketing Performance of e-Trade using Search Engine Optimization (검색엔진 최적화(SEO) 기법을 활용한 전자무역 마케팅 성과에 관한 실증연구)

  • Lee, Sang-Jin;Chung, Jason
    • International Commerce and Information Review
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    • v.13 no.1
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    • pp.3-28
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    • 2011
  • Recently marketing methods of small and medium exporting firms have changed from internet marketing using homepage, or e-catalogs, to search engine marketing. However, there is no specific proof of search engine marketing effectiveness. Therefore the purpose of this research is to explore marketing performance of search engine marketing(SEM) based on search engine optimization. In order to build an optimal SEM strategy, quantitative data are collected from the Google-analytics such as homepage visits, page views, and traffic source for three years. At the same time, this study has carried out a survey to measure the qualitative effectiveness. The result of this quantitative study suggests that the existing carryover effects and lag effects would be maintained through search engine optimization. Meanwhile, the qualitative survey shows that satisfaction and awareness of homepage have been improved after search engine optimization. This can support logically increase of homepage visiting ratio of quantitative analysis. Also exporting companies know very well, that traffic and page views have increased after search engine optimization.

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Collaborative Filtering for Credit Card Recommendation based on Multiple User Profiles (신용카드 추천을 위한 다중 프로파일 기반 협업필터링)

  • Lee, Won Cheol;Yoon, Hyoup Sang;Jeong, Seok Bong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.154-163
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    • 2017
  • Collaborative filtering, one of the most widely used techniques to build recommender systems, is based on the idea that users with similar preferences can help one another find useful items. Credit card user behavior analytics show that most customers hold three or less credit cards without duplicates. This behavior is one of the most influential factors to data sparsity. The 'cold-start' problem caused by data sparsity prevents recommender system from providing recommendation properly in the personalized credit card recommendation scenario. We propose a personalized credit card recommender system to address the cold-start problem, using multiple user profiles. The proposed system consists of a training process and an application process using five user profiles. In the training process, the five user profiles are transformed to five user networks based on the cosine similarity, and an integrated user network is derived by weighted sum of each user network. The application process selects k-nearest neighbors (users) from the integrated user network derived in the training process, and recommends three of the most frequently used credit card by the k-nearest neighbors. In order to demonstrate the performance of the proposed system, we conducted experiments with real credit card user data and calculated the F1 Values. The F1 value of the proposed system was compared with that of the existing recommendation techniques. The results show that the proposed system provides better recommendation than the existing techniques. This paper not only contributes to solving the cold start problem that may occur in the personalized credit card recommendation scenario, but also is expected for financial companies to improve customer satisfactions and increase corporate profits by providing recommendation properly.

R&D Strategic Planning Support Service Focused on the Relationships Between Technology and Actor (기술과 주체 간 상호 관계 중심적 R&D 전략 수립 지원 서비스)

  • Lee, Jinhee;Lee, Mikyoung;Kim, Jinhyung;Lee, Seungwoo;Cho, Minhee;Jung, Hanmin
    • Journal of the HCI Society of Korea
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    • v.7 no.2
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    • pp.11-16
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    • 2012
  • R&D Strategic Planning plays a crucial role in determining success or failure of R&D. However, current automatic services for supporting the purpose merely provide fragmentary quantitative/qualitative analytics, and force domain experts to carry out further manual analysis by themselves. Thus, this study aims at automatically supporting R&D strategic planning with efficiency and effectiveness. To achieve the goal, we design major services in the viewpoint of the relationship between technology and R&D actor, which are essential elements in R&D. 'Trends and Predictions', 'Technology Levels', 'Relationship Paths', 'Roadmaps', and 'Competitors and Collaborators' services were designed and implemented on about 15 millions papers and patents. Future works will include the support of higher level in the hierarchy of strategic intelligence.

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