• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.59-70
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• 2023

In order to predict low-level wind shear at Incheon International Airport (RKSI), a Low-Level Wind Shear prediction system (KMAP-LLWS) along the runway take-off and landing route at RKSI was established using Korea Meteorological Administration Post-Processing (KMAP). For the performance evaluation, the case of low-level wind shear cases calculated from Aircraft Meteorological Data Relay (AMDAR) from July 2021 to June 2022 was used. As a result of verification using the performance evaluation index, POD, FAR, CSI, and TSS were 0.5, 0.85, 0.13, and 0.34, respectively, and the prediction performance was improved by POD, CSI, and TSS compared to the Low-Level Wind Shear prediction system (LDPS-LLWS) calculated using the Korea Meteorological Administration's Local Data Assimilation and Prediction System (LDAPS). This means that the use of high-resolution numerical models improves the predictability of wind changes. In addition, to improve the high FAR of KMAP-LLWS, the threshold for low-level wind shear strength was adjusted. As a result, the most effective low-level wind shear threshold at 8.5 knot/100 ft was derived. This study suggests that it is possible to predict and respond to low-level wind shear at RKSI. In addition, it will be possible to predict low-level wind shear at other airports without wind shear observation equipment by applying the KMAP-LLWS.

• Clinical Psychopharmacology and Neuroscience
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• v.16 no.4
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• pp.434-448
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• 2018

Objective: The Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) was first published in 2002 through an expert consensus of opinion, and updated in 2006, 2010, and 2014. This study constitutes the fourth revision of the KMAP-BP. Methods: A 50-item questionnaire was used to obtain the consensus of experts regarding pharmacological treatment strategies for various phases of adult bipolar disorder and six items for pediatric bipolar disorder. The review committee included 84 Korean psychiatrists and 43 child and adolescent psychiatry experts. Results: The preferred first-step strategies for acute mania were the combination of a mood stabilizer (MS) and an atypical antipsychotic (AAP), MS monotherapy, and AAP monotherapy. A combination of a MS and an AAP, and AAP monotherapy were preferred for psychotic mania. The first-step strategies for mild to moderate bipolar depression were monotherapy with MS, AAP, or lamotrigine (LMT), and the combination of a MS and an AAP or LMT, or a combination of an AAP and LMT. The combination of two among a MS, AAP, and LMT were preferred for non-psychotic severe depression. A combination of a MS and an AAP or the combination of an AAP with an antidepressant or LMT were the first-line options for psychotic severe depression. Conclusion: The recommendations of the KMAP-BP 2018 have changed from the previous version by reflecting recent developments in pharmacotherapy for bipolar disorder. KMAP-BP 2018 provides clinicians with a wealth of information regarding appropriate strategies for treating patients with bipolar disorder.

• Atmosphere
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• v.31 no.5
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• pp.473-488
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• 2021

A new physical/statistical diagnostic downscale model has been developed for use to improve near-surface air temperature forecasts. The model includes a series of physical and statistical correction methods that account for un-resolved topographic and land-use effects as well as statistical bias errors in a low-resolution atmospheric model. Operational temperature forecasts of the Local Data Assimilation and Prediction System (LDAPS) were downscaled at 100 m resolution for three months, which were used to validate the model's physical and statistical correction methods and to compare its performance with the forecasts of the Korea Meteorological Administration Post-processing (KMAP) system. The validation results showed positive impacts of the un-resolved topographic and urban effects (topographic height correction, valley cold air pool effect, mountain internal boundary layer formation effect, urban land-use effect) in complex terrain areas. In addition, the statistical bias correction of the LDAPS model were efficient in reducing forecast errors of the near-surface temperatures. The new high-resolution downscale model showed better agreement against Korean 584 meteorological monitoring stations than the KMAP, supporting the importance of the new physical and statistical correction methods. The new physical/statistical diagnostic downscale model can be a useful tool in improving near-surface temperature forecasts and diagnostics over complex terrain areas.

• Mood & Emotion
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• v.16 no.3
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• pp.123-128
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• 2018

Objectives : The fourth revision of Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) was performed to provide more proper guidelines for clinicians. In this study, we evaluated treatment strategies of elderly patients with bipolar disorders of KMAP-BP 2018. Methods : Sixty-one psychiatrists of the review committee with vast clinical experiences in treating bipolar disorders, completed the survey. An expert consensus was obtained, on pharmacological treatment strategies for elderly patients with bipolar disorder. The executive committee analyzed results, and discussed the results to produce the final algorithm. Results : In elderly patients with bipolar disorder, first-line treatment option for acute manic episode is monotherapy, with atypical antipsychotics or mood stabilizer, and a combination of mood stabilizer and atypical antipsychotics. First-line treatment option for acute depressive episode, was a combination of mood stabilizer and atypical antipsychotics, monotherapy with atypical antipsychotic or mood stabilizer, and atypical antipsychotics with lamotrigine. Conclusion : In KMAP-BP 2018, the recommendation for treatment option in elderly patients with bipolar disorder, was newly introduced. We expect this algorithm may provide valuable information, and facilitate treatment of elderly patients with bipolar disorder.

• Mood & Emotion
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• v.16 no.3
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• pp.109-122
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• 2018

Objectives : The objective of this study was to revise the Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) 2014: Children and Adolescents. Methods : We performed the survey, using a questionnaire comprising 22 questions according to each situation, in children and adolescents with bipolar disorder. Results : First-line pharmacotherapeutic strategies for manic episode in children with bipolar disorder were a combination of mood stabilizer (MS) and an atypical antipsychotics (AAP), monotherapy with an AAP, risperidone, and aripiprazole. Aripiprazole was selected as first-line medication for depressive episode in children with bipolar disorder, and aripiprazole, and risperidone were selected as first-line at high-risk children. First-line pharmacotherapeutic strategies for manic episode in adolescents were a combination of MS and an AAP, monotherapy with an AAP valproate, lithium, risperidone (Treatment of Choice, TOC), aripiprazole, and quetiapine. First-line pharmacotherapeutic strategies for depressive episode in adolescents, were a combination of an atypical antipsychotics and lamotrigine, valproate, aripiprazole (TOC), risperidone, and quetiapine. For depressive episodes in adolescents at high risk for bipolar disorder, valproate, aripiprazole (TOC), and risperidone were selected as first-line medication. Conclusion : We expect that the present KMAP-BP 2018-children and adolescents, is useful for clinicians to treat children and adolescents with bipolar disorder.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.381-382
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• 2017

본 논문의 주요 목적은 시장집중도, 경쟁현황에 대한 산업정보를 분석, 생산하기 위한 비즈니스 인텔리전스 시스템을 제공하는 것이다. 이러한 산업정보들은 주로 전체 산업 내 기업들의 연도별 매출액으로 분석하였고 산업시장은 한국표준산업분류에 의해 세분화하였다. 이 연구를 통해 얻어진 결과는 수요자 중심형 산업/시장인텔리전스 시스템인 KMAPS에 하나의 모듈로서 적용하였고 그 결과는 전문가들의 정성적 분석 결과와 비교하여 신뢰성을 검증하였다. 이 시스템을 통해 얻은 시장집중도 및 경쟁상황정보는 기업들이 새로운 제품개발 후 시장진입 시 필요한 의사결정을 하는데 활용될 수 있다는데 본 연구의 의의가 있다.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.271-272
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• 2016

본 연구에서는 표준통계분류체계 기반으로 동일 산업 내에서의 특정제품에 대한 시장점유구조와 기업 간 경쟁현황을 조사 분석하여 시스템화하는 것을 목적으로 하고 있다. 본 연구결과물은 수요자 중심형 산업 시장인텔리전스 시스템인 KMAPS에 하나의 모듈로서 적용하였다. 이 시스템을 통해 기업들은 새로운 제품개발 후 시장진입 시 필요한 의사 결정하는데 활용될 수 있다는데 본 연구의 의의가 있다.

• Korean Journal of Schizophrenia Research
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• v.22 no.2
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• pp.21-33
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• 2019

Objectives: The current study covers a secondary revision of the guidelines for the pharmacotherapy of schizophrenia issued by the Korean Medication Algorithm for Schizophrenia (KMAP-SCZ) 2001, specifically for co-existing symptoms and antipsychotics-related side-effects in schizophrenia patients. Methods: An expert consensus regarding the strategies of pharmacotherapy for positive symptoms of schizophrenia, co-existing symptoms of schizophrenia, and side-effect of antipsychotics in patients with schizophrenia was retrieved by responses obtained using a 30-item questionnaire. Results: For the co-existing symptoms, agitation could be treated with oral or intramuscular injection of benzodiazepine or antipsychotics; depressive symptoms with atypical antipsychotics and adjunctive use of antidepressant; obsessive-compulsive symptoms with selective serotonin reuptake inhibitors and antipsychotics other than clozapine and olanzapine; negative symptoms with atypical antipsychotics or antidepressants; higher risk of suicide with clozapine; comorbid substance abuse with use of naltrexone or bupropion/varenicline, respectively. For the antipsychotics-related side effects, anticholinergics (extrapyramidal symptom), propranolol and benzodiazepine (akathisia), topiramate or metformin (weight gain), change of antipsychotics to aripiprazole (hyperprolactinemia and prolonged QTc) or clozapine (tardive dyskinesia) could be used. Conclusion: Updated pharmacotherapy strategies for co-existing symptoms and antipsychotics-related side effects in schizophrenia patients as presented in KMAP-SCZ 2019 could help effective clinical decision making of psychiatrists as a preferable option.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.88-95
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• 2021

In aviation meteorology, the low level wind shear is defined as a sudden change of head windbelow 1600 feet that can affect the departing and landing of the aircraft. Jeju International Airport is an area where low level wind shear is frequently occurred by Mt. Halla. Forecasting of such wind shear would be useful in providing early warnings to aircraft. In this study, we investigated the performance of statistical downscaling model, called Korea Meteorological Administration Post-processing (KMAP) with a 100 m resolution in forecasting wind shear by the complex terrain. The wind shear forecasts was produced by calculating the wind differences between stations aligned with the runways. Two typical wind shear cases caused by complex terrain are validated by comparing to Low Level Wind Shear Alert System (LLWAS). This has been shown to have a good performance for describing air currents caused by terrain.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.252-261
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• 2017

This paper is aimed for providing Business Intelligence System which is in order to analysis and produce the useful industrial information such as the market penetrance and the status of competition among the enterprises in the same or similar industrial field. These industrial information were mainly analysed by the annual sales of the enterprises in the entire industry and the industrial market based on KSIC was segmented. The results obtained in the study were applied as a module in the KMAPS(KISTI Market Analysis and Prediction System) which is the demand-based Business Intelligence System. And they were verified reliability by comparing to the qualitative analyses of the specialists. It is considered that the market penetrance and competition information can be valuably used for the enterprises makes a decision to enter the new market or develop new products.