• 제목/요약/키워드: Research tools

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Predictive Research into Desirable Features of Machine Tools in the Year 2015 and Beyond - Private Viewpoints and Assertion -

  • Yos
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2000년도 Handout for 2000 Inter. Machine Tool Technical Seminar
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    • pp.1-18
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    • 2000
  • This paper describes firstly a prediction for desirable features of the machine tool in the year 2015 and beyond, and then delineates something definite in relation to some representative machine tools, which could be realised in very near future. The paper depicts furthermore another aspect of future machine tools, I. e., innovative structural designs. In addition, author asserts the importance of grass root-like knowledge, when predicting the desirable feature of machine tools future together with showing some evidences.

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인터넷상의 재무설계 관련 프로그램 실태와 평가* (Financial Service Tools for financial Planning on the Internet)

  • 김경자
    • 가정과삶의질연구
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    • 제21권1호
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    • pp.103-111
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    • 2003
  • The Purpose of this research was to investigate the financial service tools for financial planning on the internet. First of all, what kinds of financial service tools were available was looked into and secondly, the sufficiency and the validity of the tools were examined. The deep search of 20 financial service related web-sites was confirmed on June of 2002. The results revealed that there were a variety of calculator for banking and investing and other planning tools. The financial service tools for financial planning looked somewhat abundant, however, the validity of the tools was not high sufficient.

지역사회 거주 노인을 위한 약물사용검토 도구에 대한 체계적 문헌고찰 (Medication Use Review Tools for Community Dwelling Older Patients: A Systematic Review)

  • 박지영;전광희;백양서;박소영;이주연
    • 한국임상약학회지
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    • 제31권1호
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    • pp.61-78
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    • 2021
  • Background and Objective: The use of potentially inappropriate medications (PIMs) increases the risk of negative health outcomes, including drug-related admissions. Tools for structured medication review have been developed to ensure optimal medication use and safety. Here, we aimed to evaluate medication use review (MUR) tools for community-dwelling older patients. Methods: We performed a systematic review of the literature according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement (PRISMA). We searched PubMed, Embase, and the Cochrane Library from 1991 to 2020, excluding tools that are specifically applied to hospitalized patients or nursing home residents. We identified the most common inappropriate medications, drug-disease interactions, drug-drug interactions and prescribing omissions presented among tools. Results: From among 9,788 identified reports screened, 60 met our inclusion criteria; finally, 27 were eligible for data analysis considering originality and up-to-dateness. Most tools presented explicit criteria (93%), and only one was specific to community-dwelling elderly. The most common PIM was tricyclic antidepressants. Use of diltiazem and verapamil in patients with heart failure and the combination of nonsteroidal anti-inflammatory analgesics and warfarin were the most frequent disease-specific PIM and drug-interaction, respectively. Conclusions: Although several medication review tools have been developed for older adults, specific guidelines for community-dwelling populations remain limited. Furthermore, the list of PIMs differed among available tools. In future, specific but integrating MUR tools need to be developed for clinical practice considering this population.

Computer-aided polyp characterization in colonoscopy: sufficient performance or not?

  • Natalie Halvorsen;Yuichi Mori
    • Clinical Endoscopy
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    • 제57권1호
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    • pp.18-23
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    • 2024
  • Computer-assisted polyp characterization (computer-aided diagnosis, CADx) facilitates optical diagnosis during colonoscopy. Several studies have demonstrated high sensitivity and specificity of CADx tools in identifying neoplastic changes in colorectal polyps. To implement CADx tools in colonoscopy, there is a need to confirm whether these tools satisfy the threshold levels that are required to introduce optical diagnosis strategies such as "diagnose-and-leave," "resect-and-discard" or "DISCARD-lite." In this article, we review the available data from prospective trials regarding the effect of multiple CADx tools and discuss whether they meet these thresholds.

지능공작기계 지식구조의 규칙베이스 구축 (Constructing Rule Base of knowledge structure for Intelligent Machine Tools)

  • 이승우;김동훈;임선종;송준엽;이화기
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.954-957
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    • 2005
  • In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial product and machine tools are the center of manufacturing devices in intelligent manufacturing system. The purpose of this paper is to present the construction of Rule Base for knowledge structure that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It constructs Rule Base of knowledge used of machine toots. The constructed Rule Base facilitates the effective operation and control of machine tools and will provide a systematic way to integrate the expert's knowledge that will apply Intelligent Machine Tools.

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The Effect of Personality Type on Human Performance Tool Compliance and General Recommendations for Enhancement of the its Practical Utilization

  • Lee, Kyung-Sun;Lee, Jong-Hyun;Lee, Yong-Hee
    • 대한인간공학회지
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    • 제34권1호
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    • pp.45-62
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    • 2015
  • Objective: The purpose of this study is to investigate the effect of personality type on human performance tool compliance in nuclear power plants (NPPs) and to propose general recommendations for an enhancement of its practical utilization. Background: Various guidelines, regulating criteria, and recommendations have been developed to prevent human errors in NPPs. Despite these efforts, the accidents sometimes caused by human errors have steadily occurred, and therefore, various human performance tools have been adopted as countermeasures against human errors. The major and inevitable contributing factors among the many hazards to human errors might be the trait and personality, which are considered to be the inner world of humans. Thus, we try to investigate the utilization of human performance tools by considering the different types of operating crew personalities, and we suggested more practical recommendations to prevent human errors according to the personality. Method: We developed the Questionnaire using the Big 6 (HEXACO) models, which are human performance tools for workers in NPPs, and individual (condition) variables to investigate the effect of personality types on human performance tools. We slightly modified them to help the survey respondents understand them better. A survey was conducted for ordinary people over the age of 20. SPSS 22.0 was used to perform a correlation analysis and a hierarchical regression analysis to find the relationship between personality types and human performance tools. Results: The utilization of human performance tools shows significant differences statistically by personality. The correlation result reveals that the types of Honesty (H), Extraversion (X), Conscientiousness (C), and Openness to experience (O) show a higher utilization of human performance tools. In hierarchical regression results, human performance tools of task preview, questioning attitude, stopping when unsure, self-checking, effective communication, and place-keeping show a higher utilization with personality types. However, the Agreeableness (A) type did not show significant differences statistically with human performance tools. Conclusion: We tried to investigate the utilization of human performance tools by considering the different types of human personality and provide more practical recommendations to prevent human errors according to the personality. These results will be able to prevent human errors owing to the characteristics (advantages and disadvantages) of personality types. Application: This information can be utilized as guidelines for proactive recommendations according to the workers' personalities for more practical human performance tools to prevent human errors in an NPP.

공작기계지능화를 위한 에이전트 기반 의사결정지원시스템 (Agent-Based Decision Support System for Intelligent Machine Tools)

  • 이승우;송준엽;이화기;김선호
    • 산업경영시스템학회지
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    • 제29권1호
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    • pp.87-93
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    • 2006
  • In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence are applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It communicates with other active agents such as sensory and dialogue agent. The proposed design of decision support agent facilitates the effective operation and control of machine tools and provides a systematic way to integrate the expert's knowledge that will implement Intelligent Machine Tools.

Relevance of Multivariate Analysis in Management Research

  • Ojha, Sateesh Kumar
    • Journal of Information Technology Applications and Management
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    • 제23권3호
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    • pp.25-34
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    • 2016
  • Often we receive misled conclusion in the research if properly variables are not analyzed. In different functional issues of management it is very essential that all the latent and observed variable are properly understood so management decisions will be relevant and effective. The objective of this paper is to investigate the use of different multivariate tools for analyzing in the management research : applied or basic. The sources of data is primary as well as secondary. The primary includes the observation of different research articles of the proceedings of different conferences. And the secondary includes different publications related to multivariate analysis. The study has revealed the reasons of not using such tools of research. The preliminary finding reveals that most of the researches do not use such analytical tools in a comprehensive manner. Carelessness in design while fixing the design aspect is the main reasons of not using appropriate design.

디지털 학습 환경에서의 기초디자인 교육 - 기초디자인 훈련 도구(Basic Graphic Tools)의 개발을 중심으로 - (Experiencing Design Foundation in On-Line Education - By Using The Basic Graphic Tools -)

  • 이은주
    • 디자인학연구
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    • 제18권2호
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    • pp.255-264
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    • 2005
  • 개인용 컴퓨터와 인터넷의 발달은 교수자와 학습자, 학습자와 학습자의 관계변화를 야기하였으며 대표적으로 전통적인 학습방법으로서의 일대일, 면대면 수업방식은 디지털 기반의 학습모형으로 변화를 죄하고 있다. 이러한 환경의 변화는 새로운 교육 정보로서의 적절한 디자인 도구와 재료의 등장이 교수와 학습, 모두의 입장에서 필요하게 되었음을 의미한다. 본 연구는 디지털 기술 기반에서의 효과적인 기초디자인 수업을 위하여 새로운 형식의 그래픽 툴(Basic Graphic Tools)을 개발하는 데 있다. 전통적인 학습 환경과의 차이는 최소화하면서 디지털 기술에서 가능한 재료와 도구의 다양성을 최대로 이끌어내는 것이다. Basic Graphic Tools(이하 BGTs)는 학생들의 선수 지식 유무와 학습 기술의 편차, 전통적인 훈련 방식과 첨단의 방식이 공존하는 상황에서 학습자에게는 기초디자인 과정에서 요구되는 디자인 원리를 학습하고 시야를 넓힐 수 있는 디지털 디자인 도구로서, 교수자에게는 효율적이고 생산적인 강의를 위한 새로운 교육 도구로 개발되었다. 기초 디자인 훈련프로그램으로서의 BGTs개발과 실험을 통해 새로운 교육 도구로서의 활용 가능성을 살펴보고 기초디자인 교육과정에서 학습자로 하여금 수월성을 갖게 하는 것이다. 기초디자인 학습 툴로서의 신뢰성 향상을 위해 C 대학에 개설된 e강의실을 통해 디자인 작업 일부가 시행되었다. 이를 근거로 Learning Guide/Performance Test가 이루어졌으며 그 결과 매우 높은 사용 가능성을 확보하였고 동시에 추후 연구과제로서 BGTs를 이용한 기초디자인 프로그램의 개발 가능성을 타진하였다.

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Applied Computational Tools for Crop Genome Research

  • Love Christopher G;Batley Jacqueline;Edwards David
    • Journal of Plant Biotechnology
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    • 제5권4호
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    • pp.193-195
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    • 2003
  • A major goal of agricultural biotechnology is the discovery of genes or genetic loci which are associated with characteristics beneficial to crop production. This knowledge of genetic loci may then be applied to improve crop breeding. Agriculturally important genes may also benefit crop production through transgenic technologies. Recent years have seen an application of high throughput technologies to agricultural biotechnology leading to the production of large amounts of genomic data. The challenge today is the effective structuring of this data to permit researchers to search, filter and importantly, make robust associations within a wide variety of datasets. At the Plant Biotechnology Centre, Primary Industries Research Victoria in Melbourne, Australia, we have developed a series of tools and computational pipelines to assist in the processing and structuring of genomic data to aid its application to agricultural biotechnology resear-ch. These tools include a sequence database, ASTRA, for the processing and annotation of expressed sequence tag data. Tools have also been developed for the discovery of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) molecular markers from large sequence datasets. Application of these tools to Brassica research has assisted in the production of genetic and comparative physical maps as well as candidate gene discovery for a range of agronomically important traits.