• The Mathematical Education
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• v.59 no.1
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• pp.31-45
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• 2020

Despite the trend of the times and the government's efforts to implement policies, a number of students, having difficulties in learning math, are still growing. Reflecting this, many studies related to underachiever of learning mathematics were conducted in the field of mathematics education. Most of these studies, however, were intended to find the cause of underachievers of learning mathematics or experimental studies that applied the specific teaching procedures to the underachievers of learning mathematics and found their effectiveness in terms of academic achievement, compared it beforehand. Thus, in this study, 49 studies, from including theses and published journal papers from 2001, were meta-analyzed to find out how effective the teaching treatment for underachievers of learning mathematics has improved academic performance. As a result of this analysis, we found that teaching treatment generally have moderate effect sizes for children with having difficulties in learning mathematics. It was also possible to analyze the effect of various interventions and to obtain some suggestions on which circumstances the greatest effect could be achieved. Teaching treatments for underachiever of learning mathematics could have greater effectiveness in elementary school level, institution certified testing tool was used, targeted for each individual, taught by peer student, lasted for at least 8 weeks, and using teaching aids and ICT tools.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.4008-4014
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• 2011

The purpose of this study was to identify the effect of muscular strength, sensation, and spasticity of the hip joint on balance using clinical tools in chronic stroke patients. Thirty-two subjects participated. It were measured muscular strength of the hip flexor, extensor, abductor, and adductor using manual muscle testing, light touch sensibility, and spasticity of the quadriceps using the modified Ashworth scale in the paretic lower extremity. Also, static and dynamic balance were measured by the functional balance scale. Collected data was analyzed by stepwise multiple regression. Muscular strength of the hip abductor, light touch sensibility, and spasticity were associated with static balance(p<0.05) and explanatory power was 80.5%. Muscular strength of the hip abductor and light touch sensibility were associated with dynamic balance(p<0.05) and explanatory power was 77.9%. Thus, it is suggested that muscular strength of the hip abductor and light touch sensibility is considered when providing evaluation and intervention programs for the future in the balance.

• Journal of the Society of Naval Architects of Korea
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• v.53 no.2
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• pp.127-134
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• 2016

This paper presents practical issues for test and evaluation(T&E) methods to develop defense systems. Our argument is motivated by several domestic defense cases and the cases lead us to discuss two main factors for reliable defense systems development: 1) statistical approaches and 2) technical schemes. Specifically, statistical approaches enable to provide credible interpretations about T&E results in the decision-making process. With practical T&E results of the “Red Shark” torpedo, we performed statistical hypothesis tests and suggest a minimum sample size to accept the hypothesis. Next, technical schemes have more direct effects on improving reliability of developed defense systems and we shortly introduce tools development for systems verification that is required to integrate several sub-systems, e.g., combat, sensor, weapon, and communication systems, within a defense system. We additionally summary some domain cases using modeling and simulation techniques for successful T&E. In closing, we expect that the paper shows empirical investigation and lessons learned with these two practical issues, which provides a guide those who desire to make decisions about reliable defense systems development.

• Journal of Korean Medicine Rehabilitation
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• v.31 no.3
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• pp.115-123
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• 2021

This study reports the effects of Korean medicine treatments including Chuna manual therapy (CMT) and exercise treatment for a patient suffering with cervical spinal stenosis. We treated patient diagnosed with cervical spinal stenosis. The patient was treated with CMT once a day for 26 days. Manual muscle testing (MMT), ratio and degree of numbness, numerical rating scale (NRS) were used as tools for evaluating the patient's progress. MMT was increased from 3+ to 5, ratio and degree of numbness were decreased from grade (Gr.) 9 to Gr. 4, NRS was decreased from 5 to 3. This study suggests that CMT and self-exercise can be considered as effective treatment for cervical spinal stenosis.

• International Area Studies Review
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• v.12 no.3
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• pp.111-133
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• 2008

This study tries to analyze what the most significant factors are in Russia, where the Korean investing enterprises have to overcome and adapt to various difficulties, especially in terms of local circumstance politically. This main purpose of the research is to test empirically some relations between the managing strategy of Korean enterprises and the circumstance factors of politics in Russia while this is conducted in two stages. First, the research model is designed by reviewing relevant theories, previous studies, and the current investment conditions in local Russia. Second, the survey of Korean enterprises engaged in investment activities in there is done by collecting questionnaires from them with this survey. And the statistic method of structural equation modeling is used to testing some hypotheses. Explaining the analyzing tools, SPSS 12.0 for windows is being used for Correlation, Reliability, Validity and Multi regression and Finally the Path analysis is implemented by AMOS 7.0 for windows.

• Neurospine
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• v.15 no.4
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• pp.329-337
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• 2018

Objective: Machine learning algorithms excel at leveraging big data to identify complex patterns that can be used to aid in clinical decision-making. The objective of this study is to demonstrate the performance of machine learning models in predicting postoperative complications following anterior cervical discectomy and fusion (ACDF). Methods: Artificial neural network (ANN), logistic regression (LR), support vector machine (SVM), and random forest decision tree (RF) models were trained on a multicenter data set of patients undergoing ACDF to predict surgical complications based on readily available patient data. Following training, these models were compared to the predictive capability of American Society of Anesthesiologists (ASA) physical status classification. Results: A total of 20,879 patients were identified as having undergone ACDF. Following exclusion criteria, patients were divided into 14,615 patients for training and 6,264 for testing data sets. ANN and LR consistently outperformed ASA physical status classification in predicting every complication (p < 0.05). The ANN outperformed LR in predicting venous thromboembolism, wound complication, and mortality (p < 0.05). The SVM and RF models were no better than random chance at predicting any of the postoperative complications (p < 0.05). Conclusion: ANN and LR algorithms outperform ASA physical status classification for predicting individual postoperative complications. Additionally, neural networks have greater sensitivity than LR when predicting mortality and wound complications. With the growing size of medical data, the training of machine learning on these large datasets promises to improve risk prognostication, with the ability of continuously learning making them excellent tools in complex clinical scenarios.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.4
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• pp.807-819
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• 2019

Greybox fuzzing is known as an effective method to discover unknown security flaws reside in software and has been actively researched today. However, most of greybox fuzzing tools require an executable file. Because of this, a library, which cannot be executed by itself requires an additional executable file for greybox fuzzing. Generating such an executable file is challengeable because it requires both understanding of the library and fuzzing. In this research, we suggest the approach to generate an executable file automatically for a library and implement this approach as a tool based on the LLVM framework. This tool shows that executable files and seed files can be generated automatically by static/dynamic analysis of a unit test in the target project. A generated executable file is compatible with various greybox fuzzers like AFL because it has a common interface for greybox fuzzers. We show the performance of this tool as code coverage and discovered unknown security bugs using generated executable files and seed files from open source projects through this tool.

• Journal of Climate Change Research
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• v.5 no.3
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• pp.189-197
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• 2014

Carbon footprint of apple was a sum of $CO_2$ emission in the step of manufacturing waste of agri-materials, and greenhouse gas emission during apple cultivation. Input amount of agri-materials was calculated on 2007 Income reference of Apple by Rural Development Administration. Emission factor of each agri- materials was based on domestic data and Ecoinvent data. $N_2O$ emission factor was based on 1996 IPCC guideline. Carbon dioxide was emitted 0.64 kg $CO_2$ to produce 1 kg apple fruit, and carbon dioxide was emitted 43.6% in the step of the manufacturing byproduct fertilizer, 1.3% in the step of the manufacturing single fertilizer, 4.7% in the step of the manufacturing composite fertilizer, 6.3% in the step of the manufacturing agri-chemicals, 14.6% in the step of the manufacturing fuel, 11.5% in the step of the fuel combustion, 17.7% of $N_2O$ emission by nitrogen application and 0.18% of disposal of agri-materials. It is needed for farmers to use fertilization recommendation based on soil testing (soil. rda.go.kr) because scientific fertilization is a major tools to reduce carbon dioxide of apple production. The fertilization recommendation could be also basic data in Measurable-ReporTablele-Verifiable (MRV) system for carbon footprint.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.4
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• pp.149-162
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• 2018

PURPOSE: The aim of this study was to investigate the effect of scapular dynamic taping on pain, disability, upper body posture, and range of motion (ROM) in the postoperative shoulder. METHODS: Twenty-two patients who underwent acromioplasty and rotator cuff repair surgery volunteered for this study. The subjects were randomly divided into an experimental group (EG, n=11) and a control group (CG, n=11). For the EG, exercise therapy, manual therapy, and scapular dynamic taping were applied for 6 weeks; for the CG, only exercise therapy and manual therapy were applied for 6 weeks. Shoulder pain, disability, upper body posture, and ROM were evaluated at baseline, after 3 weeks of intervention, and after 6 weeks of intervention. Assessment tools included quadruple visual analog scale (QVAS) for level of pain; shoulder pain and disability index (SPADI) for functional disability level; forward head angle (FHA), forward shoulder angle (FSA), and pectoralis minor index (PMI) for upper body posture; and ROM testing. RESULTS: Significant differences were observed between the EG and CG in SPADI total scores; internal rotation and external rotation ROM of the glenohumeral joint ; FSA ; and PMI. All groups showed statistically significant improvement in QVAS; SPADI; flexion; abduction; external rotation and internal rotation ROM of the glenohumeral joint; FSA; and PMI. CONCLUSION: These results suggest that, for patients who have undergone acromioplasty and rotator cuff repair surgery, the addition of scapular dynamic taping during therapy is effective for improvement of shoulder disability level, ROM, and upper body posture.

• Journal of Software Engineering Society
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• v.28 no.1
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• pp.7-12
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• 2019

Recently, as the weight of software in the weapon system increases, the quality of the software becomes a very important factor. In order to improve the quality of the weapon system software, DAPA(Defense Acquisition Program Administration) has institutionalized software reliability in Weapon System Software Development and Management Manual. The manual presents specific methods and procedures to improve the weapon system software quality. In order to meet the required reliability test standards specified in the manual, it is necessary to continuously detect and correct defects throughout the entire development period. However, it is difficult to build proper reliability test environment due to the cost of software reliability tools, setting up secured and separated network environment, and etc. Therefore, in this study, we propose an efficient environment construction method for software reliability test of defense industry field in restricted development environment and limited resources.