• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.44 no.9
• /
• pp.796-805
• /
• 2016

As a part of the first stage in the helicopter flight simulator development, this study numerically evaluates handling qualities of the dynamics model. The flight dynamics model was generated using public information for AS365 N2, the target aircraft of the simulator. The flight simulator is under development as a pilot training and research tool for firefighting missions. The assessment of the model intends to validate general characteristics and suitability before the model is enhanced with flight test data. The evaluation is based on the ADS-33E-PRF(Aeroautical Design Standard Performance Specification Handling Qualities Requirement) criteria, with consideration of category of the aircraft, missions, and environment. The numerical operations follow required or recommended procedures of flight test for compliance demonstration. Evaluation results are evaluated according to the rating specified in maneuverability ADS-33E-PRF. Results have identified to provide a satisfactory platform for flight dynamic model in the general helicopter simulator generated based on the RotorLibFDM, and can be used as a base for basic training and research.

• The Journal of Pediatrics of Korean Medicine
• /
• v.31 no.1
• /
• pp.52-62
• /
• 2017

Objectives The purpose of this study is to review pre-existing clinical practice guidelines for autism spectrum disorders, and refer those in developing a new practice guideline. Methods A total of 9 existing clinical practice guidelines for autism spectrum disorder developed from 2010 to 2016 were searched by Google scholar and Pubmed, and were reviewed those literatures in three parts: general, diagnosis & evaluation, and intervention. Results There were no consistency in the recommendation methods of 9 clinical care guidelines (such as the method of rating and recommendation intensity for diagnosis, evaluation, and treatment). However, in the diagnosis and evaluation section, frequently used evaluation and diagnostic tools are mentioned in most clinical practice guidelines, and the types of pharmacologic and non-pharmacological treatments that are mainly recommended in treatment are equally mentioned in most clinical practice guidelines could confirm. Conclusions 1. Some guideline recommendations are graded according to each criterion. Recommendations presented in various databases were based on systematic reviews or other literatures. The most utilized database were PsycINFO, CINAHL, Cochrane. 2. DSM-5 and ICD-10 were the most common used diagnostic criteria, and DSM-IV was used as a diagnostic standard in the guideline published before 2013. The tools used for diagnosis and evaluation were also varied. However, most recommended ones were ADI-R, ADOS-G, and DISCO. 3. Treatment was largely divided into pharmacological intervention and non-pharmacological intervention. In some guideline, the interventions were divided into pediatric and adult. Most of the pharmacological interventions were not recommended due to lack of evidence, but in cases in which specific symptoms were aimed, they recommended to seek professional help. 4. In addition to interventions, each guideline referred to supportive interventions that may be helpful in the daily life of patients with ASD, which may need to be addressed in future clinical guidelines.

• Information Systems Review
• /
• v.17 no.3
• /
• pp.95-111
• /
• 2015

The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.

• Journal of Distribution Science
• /
• v.13 no.1
• /
• pp.57-70
• /
• 2015

Purpose - Open source software has high utilization in most of the server market. The utilization of open source software is a global trend. Particularly, Internet infrastructure and platform software open source software development has increased rapidly. Since 2003, the Korean government has published open source software promotion policies and a supply promotion policy. The dynamism of the open source software market, the lack of relevant expertise, and the market transformation due to reasons such as changes in the relevant technology occur slowly in relation to adoption. Therefore, this study proposes an assessment model of services provided in an open source software service company. In this study, the service level of open source software companies is classified into an enterprise-level assessment area, the service level assessment area, and service area. The assessment model is developed from an on-site driven evaluation index and proposed evaluation framework; the evaluation procedures and evaluation methods are used to achieve the research objective, involving an impartial evaluation model implemented after pilot testing and validation. Research Design, data, and methodology - This study adopted an iteration development model to accommodate various requirements, and presented and validated the assessment model to address the situation of the open source software service company. Phase 1 - Theoretical background and literature review Phase 2 - Research on an evaluation index based on the open source software service company Phase 3 - Index improvement through expert validation Phase 4 - Finalizing an evaluation model reflecting additional requirements Based on the open source software adoption case study and latest technology trends, we developed an open source software service concept definition and classification of public service activities for open source software service companies. We also presented open source software service company service level measures by developing a service level factor analysis assessment. The Behavior-Structure-Evolution Evaluation Model (BSEM) proposed in this study consisted of a rating methodology for calculating the level that can be granted through the assessment and evaluation of an enterprise-level data model. An open source software service company's service comprises the service area and service domain, while the technology acceptance model comprises the service area, technical domain, technical sub-domain, and open source software name. Finally, the evaluation index comprises the evaluation group, category, and items. Results - Utilization of an open source software service level evaluation model For the development of an open source software service level evaluation model, common service providers need to standardize the quality of the service, so that surveys and expert workshops performed in open source software service companies can establish the evaluation criteria according to their qualitative differences. Conclusion - Based on this evaluation model's systematic evaluation process and monitoring, an open source software service adoption company can acquire reliable information for open source software adoption. Inducing the growth of open source software service companies will facilitate the development of the open source software industry.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.5
• /
• pp.595-603
• /
• 2019

To alleviate the demand on private car that is constantly increasing, Busan Metropolitan City (BMC) has established Bus Rapid Transit (BRT) to revitalize public transportation. But there are no unified lane system between BRT and general bus stations, which makes off-lane turning general bus to contribute to congestion. And as the bottleneck phenomenon at entrance/exit accelerates the congestion, there has been huge dissatisfaction among commuting drivers. Therefore, this study identifies efficient methods to operate better through measuring civilian awareness. We evaluate both satisfaction and drawbacks on BRT service with Importance-Performance Analysis (IPA). We first distinguish the groups by the awareness on BRT and their main transit usage, and then clarify the difference between the groups. And as a result, the group who is positive to BRT and uses buses often demands improvement in bus indoor comfort and curbing jaywalking. On the other hand, group who is negative to BRT and uses private cars often demands improvement in lane changing and the moving speed of private cars. We next examines the groups with MDPREF, one method of Multidimensional Scaling (MDS). And we have clarified that the evaluating criteria and the individual attributes of the groups corresponds very well.

• The Journal of Korean Obstetrics and Gynecology
• /
• v.33 no.1
• /
• pp.86-103
• /
• 2020

Objectives: The purpose of this study is to analyse the domestic trends of Traditional Korean Medicine on Hot flush in menopausal women. Methods: We searched six databases and selected relevant papers according to the criteria. Results: 12 papers included case report, literature review, randomized controlled clinical trials (RCTs), Non-RCTs, and retrospective chart analysis study design. 1. The daily diary, Kupperman's Index, Menopause Rating Scale, Menopause-specific Quality of Life Questionnaire, Digital Infrared Thermographic Imaging were used as a measure of the symptoms of hot flush. 2. There were significant correlations between Thermographic images, Pulse energy, Lifestyle Habits, Low frequency power/High frequency power (LF/HF) ratio and certain items of Menopausal Symptoms Measurement. 3. The case report using Er-Xian decoction and Hwangryunhaedoktang-Gamibang showed significant effect. 4. Domestic RCT studies using herbal or acupuncture treatments showed a significant value of 3.4 on average in the quality assessment conducted in the study. However, the number of domestic studies included was five, which is not enough compared to foreign countries. Conclusions: This study examined domestic research trends on hot flushes of menopausal women and found that various evaluation tools and diagnostic methods were applied. It is necessary to conduct various RCT studies in Korea, where the number of studies is insufficient compared to overseas.

• Korean Journal of Psychosomatic Medicine
• /
• v.23 no.2
• /
• pp.79-85
• /
• 2015

Objectives : To investigate clinical and symptomatic differences among motoric subtypes of delirium. Methods : A total of 256 patients referred to psychiatric consultation services for delirium due to general medical condition were assessed retrospectively. Motoric subtypes were determined according to Lipowski's criteria for hyperactive, hypoactive and mixed subtypes. All patients were evaluated according to Delirium Rating Scale-Revised-98(DRS-98-R) by trained psychiatrists to obtain symptomatic profiles of delirium. Results : Hyperactive subtype were 50.8%(n=130), mixed 46.1%(n=118) and hypoactive 3.1%(n=8). Hyperactive patients were younger than mixed subtype($69.62{\pm}13.976$ vs. $73.97{\pm}11.569$, p=0.022) and received antipsychotics to manage symptoms of delirium more frequently(83.8% vs. 57.6%, p<0.001). Hyperactive patients had higher DRS-R-98 scores on both noncognitive($7.14{\pm}3.543$ for hyperactive, $5.62{\pm}3.279$ for mixed subtype) and cognitive subscales($10.00{\pm}3.574$ for hyperactive, $6.38{\pm}2.875$ for hypoactive, $7.43{\pm}3.771$ for mixed subtype, p<0.001). Conclusions : We demonstrated that clinical and symptomatic profiles were different across motoric subtypes in delirium. Diagnostic and therapeutic approach should be made differently according to motoric subtypes of delirium and special attention is needed not to underestimate or delay treatment in specific motoric subtype of delirium.

• Journal of Korean Medicine Rehabilitation
• /
• v.31 no.2
• /
• pp.69-79
• /
• 2021

Objectives The purpose of this study was to verify the effect of integrative Korean medicine on acute postoperative pain after arthroscopic shoulder surgery. Methods This study was conducted in a retrospective observational way. Patients who met the inclusion criteria were divided into integrative Korean medicine-treated group (IKM group) and no integrative Korean medicine treated-group (No IKM group). The primary outcome was the difference in the amount of change in pain intensity. The secondary outcome was the difference in pain intensity, opioid consumption over time, and the number of adverse events after surgery. Results The change of numerical rating scale for pain intensity from baseline to IKM group was 3.09±2.12, while 2.64±1.80 in no IKM group, and the difference of change between two groups was statistically significant (p<0.05). Difference in the use of opioid between two groups over time after surgery was also statistically significant (p=0.000). Conclusions The results of this study suggest that integrative Korean medicine can be effective for acute postoperative pain after arthroscopic shoulder surgery.

• Korean Journal of Psychosomatic Medicine
• /
• v.26 no.2
• /
• pp.112-118
• /
• 2018

Objectives : Delirium is one of the most common mental illnesses that can affect cognitive function. Melatonin has been shown to be effective in the treatment of insomnia, and recent studies have shown a protective effect to prevent delirium. This study was conducted to investigate the efficacy of melatonin in delirium patients. Methods : All patients were referred to psychiatric department for insomnia and symptoms of delirium, and were diagnosed delirium by the DSM-5 diagnostic criteria. We compared base line severity of delirium with K-DRS-R-98-R (Korean version of Delirium Rating Scale revised 98) and after taking 2mg of melatonin, retrospectively. The side effects were also identified by referring to the medical records. Results : A total 21 patients had taken melatonin for insomnia and delirious symptoms. The K-DRS-R-98 scores were decreased from $15.24{\pm}2.64$ before treatment to $6.57{\pm}5.42$ after treatment. And CGI-S scores were also decreased from $4.14{\pm}0.48$ before treatment to $2.81{\pm}0.93$ after treatment (p<0.05). Conclusions : This study illustrates the possibility of melatonin as an effective treatment option for delirious symptoms such as disorientation, motor agitation, lability of affect and hallucinations as well as insomnia, with less concerns of drug side effect. Further study with a larger sample and prospective design will be required to confirm these results.

• (The) Korean Journal of Educational Psychology
• /
• v.26 no.4
• /
• pp.1225-1248
• /
• 2012

The present study explored how ADHD assessment, identification, and diagnosis were conducted in research through an overview of research papers on ADHD in the last 10 years. The collected studies were categorized and analyzed by topics including data collection settings, assessment and identification, coexistence with other disabilities, considerable variables throughout evaluation, and biological basis. They were categorized and analyzed according to the identification methods, the number of assessment(s) and the number of informant(s). The results were as follows: First, the assessment and identifying studies on children with ADHD were excessively biased toward clinical settings. Second, the majority of the previous studies explored more the development or validation of tools for the assessment and identifying of ADHD than the other topics. Finally, a high preference for the use of a multiple assessment method in identifying ADHD was found. However, considering methodological aspects, there was a lack of practical application of multi-step process such as including a personal interview, reviewing school records or direct observing rating criteria. Considering these results, we discussed an urgent need for the diagnosis and identification guidelines of ADHD for teachers to effectively identifying ADHD children at schools. The implications of school-based ADHD assessment and diagnosis research were suggested.