• The Korean Journal of Emergency Medical Services
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• v.12 no.1
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• pp.17-26
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• 2008

Purpose : With a view to providing basic data to develop basic cardiopulmonary resuscitation education suitable for female college students, the basic cardiopulmonary resuscitation education was conducted to grasp students' knowledge, skill accuracy and the attitude change before and after the education. Methods : Convenience sampling was made on first graders(total-38 students) of K college located in K city, Chungcheongnam-do, and this was a preliminary research designed before and after choosing a single group. In terms of methods, the researchers as specified ; 1) Handed out questionnaires to students directly to make them fill in firsthand and collected the questionnaires. 2) Utilized Power Point materials based on 2005 AHA guideline and used Anne/Skill Reporter$^{(R)}$ torso produced by Leardal Inc, and Little Anne$^{(R)}$ to conduct practical education individually. 3) Asked students to give Anne/Skill Reporter$^{(R)}$ torso basic cardiopulmonary resuscitation five times with the ratio of 30:2, and then one of researchers filled in the evaluation sheet individually. 4) Evaluated the accuracy of students' ability to perform the resuscitation based on the record of Anne/Skill Reporter$^{(R)}$ integrated printer(which was the objective tool to grasp students' skills accuracy). 5) Gave out questionnaires to make students fill them in and then collected them, after completing the practical evaluation. Results : 1) In case of the attitude(confidence) about basic cardiopulmonary resuscitation, students' confidency rose from 14%(before the education) to 55.5%(after the education)- which was a positive change. 2) In case of the attitude(educational necessity) about basic cardiopulmonary resuscitation, students' confidency rose from 94.7%(before the education) to 100%(after the education)- which was a positive change. 3) As a result of the education, some female college students' scored knowledge about basic cardiopulmonary resuscitation. The average point also reached 88.95%(after the education), jump from 63.51%(before the education), which was the rise of 25.44%. 4) Regarding skill accuracy, pressure accuracy(%)($M{\pm}SD=91.37{\pm}14.16$) was higher than respiration accuracy(%)($M{\pm}SD=61.55{\pm}26.13$). Conclusion : The result showed that students' attitude(confidence, on basic cardiopulmonary resuscitation changed positively, and meaningful difference(p= .000) existed in the change of students' knowledge. Anne/Skill Reporter$^{(R)}$ performance showed that the accuracy of mouth-to-mouth resuscitation was lower than that of chest compression.

• The Journal of Korean society of community based occupational therapy
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• v.10 no.2
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• pp.63-72
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• 2020

Objective : The purpose of this study is to investigate the effect of intensive one-day training on Movement Assessment Battery for Children-2 screening developmental coordination disorder. Methods : We provided intensive one-day training which combined lecture and practice on MABC-2 assessment tools for 33 trainees. Interrater reliability was calculated by using Intraclass correlation coefficient (ICC) with the raw score of results scored simultaneously by experts and trainees of MABC-2. Results : The 33 female trainees with an average of five years and three months of experience and less experience using motor skill assessment tools scored raw score while watching the performance scenes of normal children. The results of the ICC between experts and training participants in MABC-2 obtained a high confidence 0.95 and above (p<.001). Conclusion : Clinicians who participated in one-day training seems to use MABC-2 effectively. Through this, one-day training seems to be effective in acquiring new motor skill assessment tools.

• Journal of Korea Water Resources Association
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• v.44 no.12
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• pp.1015-1029
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• 2011

Conventional MCDA techniques have been used in the field of water resources in the past. A GIS can offer an effective spatial data-handling tool that can enhance water resources modeling through interfaces with sophisticated models. However, GIS systems have a limited capability as far as the analysis of the value structure is concerned. The MCDA techniques provide the tools for aggregating the geographical data and the decision maker's preferences into a one-dimensional value for analyzing alternative decisions. In other words, the MCDA allows multiple criteria to be used in deciding upon the best alternatives. The combination of GIS and MCDA capabilities is of critical importance in spatial multi-criteria analysis. The advantage of having spatial data is that it allows the consideration of the unique characteristics at every point. The purpose of this study is to identify, review, and evaluate the performance of a number of conventional MCDA techniques for integration with GIS. Even though there are a number of techniques which have been applied in many fields, this study will only consider the techniques that have been applied in floodplain decision-making problems. Two different methods for multi-criteria evaluation were selected to be integrated with GIS. These two algorithms are Compromise Programming (CP), Spatial Compromise Programming (SCP). The target region for a demonstration application of the methodology was the Suyoung River Basin in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.277-283
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• 2019

Advances in technology have allowed the development and commercialization of various parts; however this has shortened the discontinuation cycle of the components. This means that repair and logistic support of weapon system which is applied to thousands of part components and operated over the long-term is difficult, which is the one of main causes of the decrease in the availability of weapon system. To improve this problem, the United States has created a special organization for this problem, whereas in Korea, commercial tools are used to predict and manage DMSMS. However, there is rarely a method to predict life cycle of parts that are not presented DMSMS information at the commercial tools. In this study, the structured and unstructured data of parts of a commercial tool were gathered, preprocessed, and embedded using neural network algorithm. Then, a method is suggested to predict the life cycle risk (LC Risk) and year to end of life (YTEOL). In addition, to validate the prediction performance of LC Risk and YTEOL, the prediction value is compared with descriptive statistics.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.553-581
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• 2022

Shortly after tunnel boring machine (TBM) was introduced in the tunneling industry, the use of TBM has surprisingly increased worldwide due to its performance together with the benefit of being safely and environmentally friendly. One of the main cost items in the TBM tunneling in rock and soil is changing damaged or worn cutters. It is because that the cutter change is a time-consuming and costly activity that can significantly reduce the TBM utilization and advance rate and has a major effect on the total time and cost of TBM tunneling projects. Therefore, the importance of accurately evaluating the cutter life can never be overemphasized. However, the prediction of cutter wear in soil, rock including mixed face is very complex and not yet fully clarified, subsequently keeping engineers busy around the world. Various prediction models for cutter wear have been developed and introduced, but these models almost usually produce highly variable results due to inherent uncertainties in the models. In this study, a case study of design and construction of disc cutter change is introduced and analyzed, rather than proposing a prediction model of cutter wear. As the disc cutter is strongly affected by the geological condition, TBM machine characteristic and operation, authors believe it is very hard to suggest a generalized prediction model given the uncertainties and limitations therefore it would be more practical to analyze a real case and provide a detailed discussion of the difference between prediction and result for the cutter change. By doing so, up-to-date idea about planning and execution of cutter change in practice can be promoted.

• Journal of Korean Society of Disaster and Security
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• v.14 no.3
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• pp.17-27
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• 2021

In this study, classification models were built using machine learning techniques that can classify the soil creep risk into three classes from A to C (A: risk, B: moderate, C: good). A total of six machine learning techniques were used: K-Nearest Neighbor, Support Vector Machine, Logistic Regression, Decision Tree, Random Forest, and Extreme Gradient Boosting and then their classification accuracy was analyzed using the nationwide soil creep field survey data in 2019 and 2020. As a result of classification accuracy analysis, all six methods showed excellent accuracy of 0.9 or more. The methods where numerical data were applied for data training showed better performance than the methods based on character data of field survey evaluation table. Moreover, the methods learned with the data group (R1~R4) reflecting the expert opinion had higher accuracy than the field survey evaluation score data group (C1~C4). The machine learning can be used as a tool for prediction of soil creep if high-quality data are continuously secured and updated in the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.2
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• pp.263-277
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• 2021

Taint analysis techniques are popularly used to detect web vulnerabilities originating from unverified user input data, such as Cross-Site Scripting (XSS) and SQL Injection, in web applications written in JavaScript. To detect such vulnerabilities, it would be necessary to trace variables affected by user-submitted inputs. However, because of the dynamic nature of JavaScript, it has been a challenging issue to identify those variables without running the web application code. Therefore, most existing taint analysis tools have been developed based on dynamic taint analysis, which requires the overhead of running the target application. In this paper, we propose a novel static taint analysis technique using symbol information obtained from the TypeScript (a superset of JavaScript) compiler to accurately track data flow and detect security vulnerabilities in TypeScript code. Our proposed technique allows developers to annotate variables that can contain unverified user input data, and uses the annotation information to trace variables and data affected by user input data. Since our proposed technique can seamlessly be incorporated into the TypeScript compiler, developers can find vulnerabilities during the development process, unlike existing analysis tools performed as a separate tool. To show the feasibility of the proposed method, we implemented a prototype and evaluated its performance with 8 web applications with known security vulnerabilities. We found that our prototype implementation could detect all known security vulnerabilities correctly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.293-302
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• 2019

This study systematically analyzed computer-based driving intervention programs for seniors, to provide the academic background for driving intervention for seniors. Articles published from January 2009 till December 2018 were researched and analyzed. 'PubMed, Google Scholar, and Science Direct' were used to search articles published overseas, and 'RISS, KERIS, and KISS' searched for articles published in Korea. Based on the inclusion and exclusion criteria, totally 359 papers were retrieved, and 10 articles were finally analyzed; 8 articles (80%) were evidence level I, and 2 articles (20%) were evidence level III. Amongst the computer-based interventions, driving simulators (70%) were the most common, followed by two video image training (20%) and one Nintendo Wii program (10%). In most studies, driving simulators trained the cognitive and visual abilities of seniors and enhanced their abilities to cope with risk situations under various simulated circumstances. Other interventions were also reported to have a positive effect. For evaluating elderly drivers, the driving performance evaluation using a driving simulator was the most common; in addition, evaluations of attention, space-time ability, cognitive function, risk perception, depression and anxiety were also commonly used. We believe that it is appropriate to employ computer-based driving intervention programs for seniors to train and evaluate various domains. We expect that these interventions can be used as an effective tool for safe driving.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.370-378
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• 2019

The aim of this study was conducted to investigate the awareness and practice of personal hygiene and clinic hygiene of infection among physical therapist and to analyze the factors affecting it to provide basic data for the establishment of nosocomial infection management programs and policies in the physical therapist unit. In this study, 320 physical therapists were collected and analyzed. The study tool used a self-administered questionnaire to investigate general characteristics and awareness and practice of nosocomial infections. Responses were determined as 5-Likert scales and data were analysed using percentage, independent t-test, ANOVA. As a result of this study, 17.8% of infectious disease management departments were not found, and 41.6% of physical therapists were not educated about nosocomial infection. In addition, physical therapists with sufficient protective equipment for treatment were very low at 25.3%. Thus, in order to increase awareness and practice of nosocomial infection in the future, it is necessary to provide enough protective equipment for the treatment within the hospital, and it is considered that the nosocomial infection education of the physical therapist should be carried out regularly in the hospital itself.

• 재활복지
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• v.18 no.4
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• pp.165-186
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• 2014

The purpose of the study is intended to analysis on students adjustment of students with disabilities in a special class of the elementary school focused on KCI journals through a systematic review. This study was searched from papers published from Jan, 2004 to May, 2014 using KISS, DBPIA, RISS, Google databases. The key words were "inclusive education, special class, inclusive class, student with disabilities, school adjustment, school life, school adjustment scale, elementary school". Results of data analysis were follows; 1. A total of 35 papers were analyzed. Except for 6 papers published in 2004~2007, 29 papers were published after 2008.; 2. The participant of study subject was total 141. Students with intellectual disability were 61.7%. Students with learning disabilities were 17.0%.; 3. The assessment domain of study was analyzed total 51 data.; academic achievement and task performance (25.4%), class attitude and participatory behavior(23.5%), problem behavior(21.5%). The Study in student with intellectual disability was 10 assessment domains.; 4. The method of assessment was total 41.; the use of operational definition(56.1%), the development of test (17.1%), and the use of assessment tool(14.6%).