• Title/Summary/Keyword: research frameworks method

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The Pseudo-Covariational Reasoning Thought Processes in Constructing Graph Function of Reversible Event Dynamics Based on Assimilation and Accommodation Frameworks

  • Subanji, Rajiden;Supratman, Ahman Maedi
    • Research in Mathematical Education
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    • v.19 no.1
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    • pp.61-79
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    • 2015
  • This study discussed about how pseudo-thinking process actually occurs in the mind of the students, used Piaget's frame work of the assimilation and accommodation process. The data collection is conducted using Think-Out-Loud (TOL) method. The study reveals that pseudo thinking process of covariational reasoning occurs originally from incomplete assimilation, incomplete accommodation process or both. Based on this, three models of incomplete thinking structure constructions are established: (1) Deviated thinking structure, (2) Incomplete thinking structure on assimilation process, and (3) Incomplete thinking structure on accommodation process.

The Principle of Justifiable Granularity and an Optimization of Information Granularity Allocation as Fundamentals of Granular Computing

  • Pedrycz, Witold
    • Journal of Information Processing Systems
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    • v.7 no.3
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    • pp.397-412
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    • 2011
  • Granular Computing has emerged as a unified and coherent framework of designing, processing, and interpretation of information granules. Information granules are formalized within various frameworks such as sets (interval mathematics), fuzzy sets, rough sets, shadowed sets, probabilities (probability density functions), to name several the most visible approaches. In spite of the apparent diversity of the existing formalisms, there are some underlying commonalities articulated in terms of the fundamentals, algorithmic developments and ensuing application domains. In this study, we introduce two pivotal concepts: a principle of justifiable granularity and a method of an optimal information allocation where information granularity is regarded as an important design asset. We show that these two concepts are relevant to various formal setups of information granularity and offer constructs supporting the design of information granules and their processing. A suite of applied studies is focused on knowledge management in which case we identify several key categories of schemes present there.

Using Machine Learning to Improve Evolutionary Multi-Objective Optimization

  • Alotaibi, Rakan
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.203-211
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    • 2022
  • Multi-objective optimization problems (MOPs) arise in many real-world applications. MOPs involve two or more objectives with the aim to be optimized. With these problems improvement of one objective may led to deterioration of another. The primary goal of most multi-objective evolutionary algorithms (MOEA) is to generate a set of solutions for approximating the whole or part of the Pareto optimal front, which could provide decision makers a good insight to the problem. Over the last decades or so, several different and remarkable multi-objective evolutionary algorithms, have been developed with successful applications. However, MOEAs are still in their infancy. The objective of this research is to study how to use and apply machine learning (ML) to improve evolutionary multi-objective optimization (EMO). The EMO method is the multi-objective evolutionary algorithm based on decomposition (MOEA/D). The MOEA/D has become one of the most widely used algorithmic frameworks in the area of multi-objective evolutionary computation and won has won an international algorithm contest.

COLORNET: Importance of Color Spaces in Content based Image Retrieval

  • Judy Gateri;Richard Rimiru;Micheal Kimwele
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.33-40
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    • 2023
  • The mainstay of current image recovery frameworks is Content-Based Image Retrieval (CBIR). The most distinctive retrieval method involves the submission of an image query, after which the system extracts visual characteristics such as shape, color, and texture from the images. Most of the techniques use RGB color space to extract and classify images as it is the default color space of the images when those techniques fail to change the color space of the images. To determine the most effective color space for retrieving images, this research discusses the transformation of RGB to different color spaces, feature extraction, and usage of Convolutional Neural Networks for retrieval.

Convergence of Information Technology and Corporate Strategy (정보기술과 기업전략의 융합에 관한 연구)

  • Kim, Lark Sang
    • Journal of the Korea Convergence Society
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    • v.6 no.6
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    • pp.17-26
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    • 2015
  • Firms that have adopted internet technology have been confused by distorted market signals. It is natural to look at marketplace outcomes for guidance, when confronted with a new business phenomenon. However, market signals can be unreliable in the early states of any important new information technology. New technologies trigger rampant experimentation, and the experimentation is often unsustainable. As a result, market behavior is distorted and must be interpreted cautiously. In Chapter 1, we review a concept of business model and roles of strategies in a business model. In Chapter 2, we discuss a strategic auditing method for analyzing market/channel positioning, product/service positioning, value chain/value network positioning and external environmental factors. In chapter 3, we introduces major frameworks for understanding factors forming strategies. The strategic grid model categorizes four quadrants depending on the level of impacts of information technology on operation and strategy. The strategic alignment model presents a new method of assessing an alignment of information technology and business throughout all elements of a business model. In this research, we review the concept of a business model. This research introduces factors that shape strategies and new frameworks for understanding these factors. The research objective of this manuscript is to present a guidance for firms how to use information technology for attaining sustainable competitive advantages.

An analysis of indoor environment research trends in Korea using topic modeling : Case study on abstracts from the journal of the Korean society for indoor environment (토픽모델링을 활용한 실내환경 분야 연구동향 파악 : 실내환경학회지 초록 사례연구)

  • Jeon, Hyung Jin;Kim, Do Youn;Han, Kook Jin;Kim, Dong Woo;Son, Seung Woo;Lee, Cheol Min
    • Journal of odor and indoor environment
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    • v.17 no.4
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    • pp.322-329
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    • 2018
  • The objective of this study is to identify the research trend in the field of indoor environment in Korea. We collected 419 papers published in the Journal of the Korean Society for indoor environment between 2004 and 2018, and attempted to produce datasets using a topic modeling technique, Latent Dirichlet Allocation(LDA). The result of topic modeling showed that 8 topics ("VOCs investigation", "Subway environment", "Building thermal environment", "School health", "Building particulate matter", "Asbestos risk", "Radon risk", "Air cleaner and treatment") could be extracted using Gibbs sampling method. In terms of topic trends, investigation of volatile organic compounds, subway environment, school health, and building particulate matter showed a decreasing tendency, while the building thermal environment, asbestos risk, radon risk, air cleaners, and air treatment showed an increasing tendency. The results of this topic modeling could help us to understand current trends related indoor environment, and provide valuable information in developing future research and policy frameworks.

Suggestion for Enhancement of Product Examination Government Quality Assurance Activity (군수품 제품확인감사 기준정립을 위한 제언)

  • Ahn, NamSu
    • Journal of Korean Society for Quality Management
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    • v.43 no.3
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    • pp.327-340
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    • 2015
  • Purpose : Recently, many quality issues are aroused in military forces, such as failures in K-series weapons, combat uniforms' defects and 40mm ammunition explosion accident. To address these problems, Defense Agency for Technology and Quality(DTaQ) introduced new systems such as Manufacturing Readiness Assessment(MRA), Test Report Information System(TRIS) and so on. However, these activities require the human and time resources which cannot be increased in short period. In this paper, we suggest more practical and efficient product examination method. Methods : The most popular and widely used government's quality assurance technique is a sampling method to examine the product. In this research, we first reviewed the DTaQ's quality assurance regulation, then identified several possible problems and finally suggested more efficient and effective sampling plans. Results : We have suggested new sampling framework and evaluated its performance on two military supplies by comparing with other sampling method, and observed that the number of tested samples can be substantially reduced. Therefore, required quality assurance time can be saved. Conclusion : In this paper, we first reviewed the product examination frameworks of DTaQ, PPQMS and DCMA. Then we identified several possible problems which can cause the loss of objectivity and time. To handle these problems, we suggested the new product examination framework and tested the framework to verify the performance.

The Trends of Cost Analysis on Nursing Services (우리나라 간호원가 연구의 동향 분석)

  • Yoo, Seung-Weon;Lim, Ji-Young
    • Journal of Korean Academy of Nursing Administration
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    • v.13 no.4
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    • pp.407-420
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    • 2007
  • Purpose: The objective of this literature review study was to identify research's trends and methodological issues of cost analysis on nursing services. Methods: Researches which analyzed nursing services cost, were selected from journal articles and master or doctoral dissertation studies. The total numbers of the collected studies were 23. Results: The number of studies on nursing services cost has been increased rapidly since middle-1990. The 5 methodological frameworks to classify the cost analysis researches was found. 4 researches were using the traditional costing method. 6 researches were using the clinical patient classification systems. 4 researches were using the Korean Diagnosis Related Group (KDRG). 5 researches were using the Resource Based Relative Value Scale (RBRVS). 4 researches were using the Activity Based Costing (ABC). Conclusion: These results will be used to provide the basic data for developing a more refined cost analysis method on nursing services. For further studies, we will suggest that the consent criteria of cost items need to measure nursing services be developed and the conducting cost analysis on nursing services be networked a hospital's cost management system.

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A Study on the Rights Practice of Childcare Teachers in Home Daycare Centers (가정어린이집 보육교사들의 권리실제에 관한 질적 연구)

  • Kim, Gihwa;Yang, Sungeun
    • Korean Journal of Child Studies
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    • v.38 no.1
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    • pp.169-183
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    • 2017
  • Objective: The present study examined how childcare teachers at home daycare centers perceive their rights as teachers and what kind of rights situations pertain to them at their respective daycare centers. Methods: Adopting a qualitative research method approach, this study conducted focus group interviews to collect empirical data. The participants were childcare teachers and directors at home daycare centers, which were shown to have relatively poor work environments compared to other types of daycare centers Results: The findings revealed that the participants at home daycare centers perceived their rights as childcare teachers to be extremely vulnerable. It was shown that their rights could not be protected in various frameworks involving mutual relations between teachers and directors, the Infant Care Act and childcare policy, and social perceptions that fail to recognize them as professionals. Conclusion: The fingdings from the present study contribute to our understanding of the rights situation faced by childcare teachers at home daycare centers and to the social discourse on finding ways to realize the teachers' full rights as childcare professionals.

Development of a Conceptual Framework of Nursing from Selected Concepts of Nursing Diagnoses (간호진단 분류체계에 근거한 간호개념틀 개발)

  • 김조자
    • Journal of Korean Academy of Nursing
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    • v.26 no.1
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    • pp.177-193
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    • 1996
  • For the purpose of integrating nursing diagnosis into the nursing curriculum, a descriptive survey research was done using the inductive method with questionnaires and a literature review. Research subjects included nurse educators, textbooks of adult nursing published in Korea, and the course outline for adult nursing used in one college of nursing. The Results show that there was common agreement on 39 nursing diagnosis which should be in cluded in the adult nursing curriculum, textbooks of adult nursing, and patient care on the medical-surgical units. The two existing nursing diagnosis classification systems(NANDA and Gordon's Human Response Patterns) show different basic frameworks and difficulties were discovered in integration of nursing diagnosis into the curriculum. To develop a conceptual framework for a nursing diagnosis classification system, diagnosis were classified into three categories ; health promotion, high risk problem, and actual problem on the basis of the framework used in adult nursing textbooks and Gordon's 11 Functional Health Patterns. Subconcepts for actual problems were classified as ; activity and rest, nutrition and elimination, perception and coordination, stress and coping. Progress in this study supports further development of a conceptual framework of nursing based on a nursing diagnosis classification system, from which improvement in nursing education and clinical practice can be expected.

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