• The Korean Journal of Rehabilitation Nursing
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• v.19 no.2
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• pp.118-127
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• 2016

Purpose: This study was to develop an evidence-based clinical practice protocol of physical restraints by adaptation process for patients with a geriatric hospital. Methods: Protocol adaptation process was conducted in accordance with manual for guideline adaptation version 1.0 by ADAPTE collaboration. Results: The adapted physical restraint protocol was consisted of 3 domains and 37 recommendations. The number of recommendations in each domain were: 7 nursing assessment, 19 nursing intervention, and 11 nursing evaluation. More than half (56.8%) of the recommendations were rated as grade B, 37.8% as grade C, and 5.4% were rated as grade D. Conclusion: The adapted physical restraint protocol is expected to contribute as an evidence-based clinical practice protocol for healthcare workers in geriatric hospitals for reducing and improving efficiency of appropriate physical restraints use.

• Steel and Composite Structures
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• v.2 no.6
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• pp.411-428
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• 2002

Non-linear large-displacement elasto-plastic finite element analyses are used to propose design recommendations for the eaves bracket of a cold-formed steel portal frame. Owing to the thinness of the sheet steel used for the brackets, such a structural design problem is not trivial as the brackets need to be designed against failure through buckling; without availability of the finite element method, expensive laboratory testing would therefore be required. In this paper, the finite element method is firstly used to predict the plastic moment capacity of the eaves bracket. Parametric studies are then used to propose design recommendations for the eaves bracket against two potential buckling modes of failure: (1) buckling of the stiffened free-edge into one-half sine wave, (2) local plate buckling of the exposed triangular bracket area.The results of full-scale laboratory tests on selected geometries of eaves bracket demonstrate that the proposed design recommendations are conservative. The use of the finite element method in this way exploits modern computational techniques for an otherwise difficult structural design problem.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.331-339
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• 2004

The preferences of customers change over time. However, existing collaborative filtering (CF) systems are static, since they only incorporate information regarding whether a customer buys a product during a certain period and do not make use of the purchase sequences of customers. Therefore, the quality of the recommendations of the typical CF could be improved through the use of information on such sequences. In this paper, we propose a new methodology for enhancing the quality of CF recommendation that uses customer purchase sequences. The proposed methodology is applied to a large department store in Korea and compared to existing CF techniques. Various experiments using real-world data demonstrate that the proposed methodology provides higher quality recommendations than do typical CF techniques, with better performance, especially with regard to heavy users.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.203-210
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• 2004

Due to the explosion of e-commerce, recommender systems are rapidly becoming a core tool to accelerate cross-selling and strengthen customer loyalty. There are two prevalent approaches for building recommender systems - content-based recommending and collaborative filtering. Collaborative filtering recommender systems have been very successful in both information filtering domains and e-commerce domains, and many researchers have presented variations of collaborative filtering to increase its performance. However, the current research on recommendation has paid little attention to the use of time related data in the recommendation process. Up to now there has not been any study on collaborative filtering to reflect changes in user interest. This paper proposes dynamic fuzzy clustering algorithm and apply it to collaborative filtering algorithm for dynamic recommendations. The proposed methodology detects changes in customer behavior using the customer data at different periods of time and improves the performance of recommendations using information on changes. The results of the evaluation experiment show the proposed model's improvement in making recommendations.

• Industrial Engineering and Management Systems
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• v.10 no.4
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• pp.288-291
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• 2011

Recommendations for older driver-friendly automobile interior design have been determined by taking into account older people's physical and cognitive characteristics. Twenty three older people (aged from 54 to 78) and five younger people (from 20 to 29) performed several tasks in actual driving conditions, in which their reaction times and performance errors were recorded. Some design factors were found to be related to older drivers' visibility and controllability. Several design recommendations were proposed in terms of cluster color and font, display location, and HVAC control type. Proposed recommendations are expected to satisfy a wider range of older drivers as these will facilitate automobile interior designs which are fitter to older drivers' visual, cognitive, and manual capabilities.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1042-1045
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• 2014

Recently several recommender systems have been developed in a variety of applications, but providing accurate recommendations that match the preferences and constraints of various users is quite challenging. This paper presents a method of recommending digital products based on the past preference of a user on the price, rating and selling volume of a product. Experimental results of the method with actual data of Amazon showed that the average accuracy of the recommendations made by the method is 85%. Although the results are preliminary, the method is potentially capable of making more accurate personalized recommendations than existing methods.

• The Journal of Industrial Distribution & Business
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• v.4 no.2
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• pp.21-30
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• 2013

Purpose - The objectives of this study are to find the strengths, weaknesses, opportunities, and threats related to the national innovation system of Iran (using a SWOT analysis) and to extract some strategic recommendations to modify the innovation policies of Iran. Research design, data, and methodology - This study used a literature review and field study. In the first phase, the author studied library resources and articles, and browsed through Internet information about the subject. The second phase was a field research investigation through designed questionnaires and interviews with more than 100 policymakers, officials, executives, and others related to the national innovation system in 2011. Results - In this research study, strategic recommendations were extracted through a SWOT model for improvements to the innovation policies of Iran. Conclusions - The findings of this study show the role of strengths, weaknesses, opportunities, and threats in the national innovation system of Iran and suggest strategic recommendations for its modification.

• Journal of Global Scholars of Marketing Science
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• v.16 no.3
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• pp.17-37
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• 2006

The present study examines the relative roles of external recommendations and internally felt satisfaction in influencing patient loyalty to a doctor. It establishes that recommendations do result in preliminary loyalty formation in the patient to the doctor, but only until the formation of own experiences; the significance of external sources of recommendation in the determination of patient loyalty becomes insignificant thenceforth. Implications for the doctors are that they should strive at fostering bonds of emotional attachment in their present patients so that they become strongly loyal and spread positive word-of-mouth which could result in the doctor getting new patients as well. Probable extensions of this research are also discussed later in the paper.

• Korean Journal of Clinical Pharmacy
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• v.22 no.3
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• pp.220-227
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• 2012

Kidney and liver are the major organs of metabolism and excretion of drugs. Renal and Hepatic impairment may affect the pharmacokinetics/pharmacodynamics and the safety of drugs. Adjusting the dosage based on organ function is the essential role of pharmacists. However, differences have been noted on the recommended dosage among the literatures. We compared and analyzed the recommendations of 4 literature sources which are commonly used for dosage adjustment. From April, 2011 to August, 2011, we selected data on recommendations for dosage adjustment for impaired renal and hepatic function of 100 drugs through a protocol. We analyzed the definition terms of renal and hepatic impairment, recommendations for dosage adjustment, evidenced references in four literature sources: Korean National Formulary (KNF), American Hospital Formulary System Drug Information (AHFS), Micromedex (MM) and Drug Prescribing of Renal Failure (DPRF). We further examined the data homogeneity by comparing how drugs that required no adjustment according to one source were categorized by the other. Sources use different definition terms among themselves except DRPF. Presence or absence of evidenced references about renal/hepatic functional states are KNF (0%/0%), AHFS (78%/62.6%), MM (87.5%/65.6%) and DPRF (93.2%/no recommendation) respectively. Recommendations of specific dosage and dosing interval are KNF (24%/13%), AHFS (39.6%/12.1%), MM (50%/17.7%), and DPRF (55.4%/no recommendation) respectively. Regarding the data homogeneity, the differences were remarkable. Drugs with no adjustment according to AHFS were categorized to be adjusted/ contraindicated by KNF, MM, DPRF and the values were (44%/5.6%), (22%/0%), and (36%/0%) in renal function, (39%/6.5%), (19%/3.2%), and (no recommendation/no recommendation) in hepatic function respectively. Our study shows remarkable definite variation in definitions and recommendations about definition terms, information of dosage and interval, presence or absence of evidenced references. Especially for KNF, quantitative recommendations on dosages and dosing intervals should be made in the near future. To maximize the drug effect and safety and to minimize the heterogeneity of the literature sources, reviewing at least two sources are suggested when recommending the proper dosage adjustment based on organ function.

• Journal of the Ergonomics Society of Korea
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• v.34 no.1
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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.