• 한국환경복원기술학회지
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• 제20권6호
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• pp.51-66
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• 2017

This study was conducted to develop detailed evaluation indicator as a way for evaluating sustainable urban ecosystem health focused on ecological urban elements from an eco-cultural point of view after the appearance of Eco-cultural City to meet various needs. And this study was also conducted to search for ways to utilize the detailed evaluation indicator like institutionalization. Eco-cultural City was defined as a city where ecological environment and cultural environment coexist and was aimed to derive applicable planning indicators in Korea. For this, FGI was executed, planning indicators were derived, and suitability was examined. The weights were calculated based on the selected indicators through AHP expert survey. After getting the result of FGI, experts reviewed the adequacy of definition from Eco-cultural City and its necessity, and the applicability of planning indicators was examined with evaluation of suitability. As a result of evaluating suitability, it was judged that 41 indicators based on an overall average of 4 areas were relatively high on suitability and also important among sectors. As for the analysis result, the priority order in multistage classification was as followed : harmony between human and environment(B) 0.349, environmental resources(A) 0.266, city environment and quality of culture(C) 0.208, and role division and citizen participation(D) 0.177. In the second level of relative importance, environment protection and infra in the role and citizen participation section was the highest, 0.449, harmonization policy and system in calculating weights was the highest.

• 상하수도학회지
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• 제34권6호
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• pp.495-502
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• 2020

The 37 indicators for performance evaluation of public sewage management agencies are divided into four major categories (agency manpower management ability, wastewater treatment plant operation and management, sludge and water reuse, service quality) in the first stage, and the necessity and score acquisition for the detailed indicators by each major category in the second stages. Priority was investigated through the Analytic Hierarchy Process (AHP) analysis technique for ease and relevance of company efforts. Also, based on the results of this analysis, integrated type weighting and relative importance were analyzed. As a result of the analysis, the weight and relative importance of the first stage classification were in the order of wastewater treatment plant operation and maintenance, operation agency manpower management ability, sludge and water reuse, and service quality. As a result of analyzing the weights and priorities of the detailed performance indicators in the second stage, it was found that operator's career years, the percentage of certification holding rate in operators, compliance with the effluent water quality standards, training times for operators, and efforts to manage hazardous chemicals were important. Some of the indicators of operation agency performance evaluation may include indicators in which the performance of the company's efforts is underestimated or overestimated. In order to improve this, it is necessary to give weights in consideration of the necessity of the indicator, the relevance of the company's efforts, and the ease of obtaining scores.

• 한국습지학회지
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• 제7권2호
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• pp.133-144
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• 2005

본 연구는 갯벌의 생태계 및 환경 현황, 갯벌 주변의 사회경제적 이용현황, 지역주민 설문조사 등의 다양한 자료를 활용하여 갯벌을 관리유형별로 구분하였고 이에 대한 기본 관리방안을 도출하는 것을 목적으로 한다. 이를 위해 간의 사회경제활동과 환경과의 관계를 규명하기 위해 채택한 압력-상태-대응 구조(PSR 구조)를 활용하였고, 갯벌 유형을 보호습지대상지역, 습지개선지역, 이용조정지역으로 구분하였다. PSR 평가체계를 활용하여 보호습지대지역은 34개, 습지개선지역은 26개, 이용조정지역은 9개의 단위 갯벌로 나타났다. 갯벌 관리의 기본방향은 갯벌 유형에 따라 지역의 특성을 고려하여 구체적인 방안을 달리하여야 할 것이다. 보호습지대상지역은 습지보호지역 지정시 우선적으로 검토되어야 하며 갯벌목록 및 모니터링을 통해 지속적인 연구와 관리계획 수립이 이루어져야할 것이다. 습지개선지역은 자연상태로 개선이 가능한 곳으로 판단되는 지역이고 이를 위해 압력요인 완화와 복원이 이루어져야 할 것이다. 이용조정지은 보전 및 개선의 필요성이 낮은 지역으로 심각한 위협을 줄 수 있는 이용행위의 조정이 필요한 지역이다. 그러나, 기본적으로 갯벌의 보전과 장기적으로 지속가능한 이용에 우선순위를 두어 관리방안을 마련하는 것이 중요하다.

• 한국콘텐츠학회논문지
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• 제14권10호
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• pp.32-40
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• 2014

날로 급증하는 대량의 악성코드들을 분류하여 악성코드에 대한 분석시간을 단축하고 신종의 악성코드를 발견하기 위한 악성코드 분류의 필요성이 대두됨에 따라 대량의 악성코드들을 분류하기 위한 다양한 악성코드 유사도 측정 기법이 제안되고 있다. 하지만 제안된 기존 연구들은 대부분 유사도 측정 기법을 소개하고 해당 기법에 의한 악성코드 분류 결과만을 제시하고 있으며, 다른 유사도 측정 기법과의 성능 비교 결과는 제시하지 않는다. 이는 유사도 측정 기법의 성능을 비교할 수 있는 평가 모델이 존재하지 않기 때문이다. 본 논문에서는 다양한 악성코드 유사도 측정 기법들의 성능을 비교 및 평가할 수 있는 악성코드 유사도 측정기법의 성능평가 모델로 성공확률과 신뢰도의 두 지표를 제안한다. 또한 본 논문에서는 두 지표를 이용해 기존 유사도 측정 기법들의 성능을 비교 및 평가한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.2924-2944
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• 2023

Alzheimer's disease (AD) is a neurological condition that is recognized as one of the primary causes of memory loss. AD currently has no cure. Therefore, the need to develop an efficient model with high precision for timely detection of the disease is very essential. When AD is detected early, treatment would be most likely successful. The most often utilized indicators for AD identification are the Mini-mental state examination (MMSE), and the clinical dementia. However, the use of these indicators as ground truth marking could be imprecise for AD detection. Researchers have proposed several computer-aided frameworks and lately, the supervised model is mostly used. In this study, we propose a novel 3D Convolutional Neural Network Multilayer Perceptron (3D CNN-MLP) based model for AD classification. The model uses Attention Mechanism to automatically extract relevant features from Magnetic Resonance Images (MRI) to generate probability maps which serves as input for the MLP classifier. Three MRI scan categories were considered, thus AD dementia patients, Mild Cognitive Impairment patients (MCI), and Normal Control (NC) or healthy patients. The performance of the model is assessed by comparing basic CNN, VGG16, DenseNet models, and other state of the art works. The models were adjusted to fit the 3D images before the comparison was done. Our model exhibited excellent classification performance, with an accuracy of 91.27% for AD and NC, 80.85% for MCI and NC, and 87.34% for AD and MCI.

• 한국환경복원기술학회지
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• 제8권3호
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• pp.53-66
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• 2005

The objective of this study is the classification of priority areas for the implementation of green roof by evaluating environmental deterioration in Seoul. Non-permeable pavement, air pollution, habitual floods, energy use, heat island and green space are considered in this assessment indicators. The expert questionnaire survey was conducted in order to determine the most important indicators. These indicators were then, thoroughly evaluated. As a result, high priority areas for the implementation of green roof were deduced in the following order of the districts : Jung, Sungdong, Jungrang, Youngdungpo, Jongro and Kangnam. The highest priority areas were determined to be crowded business-commercial areas. Low priority areas are analyzed in the following order of the districts : Kwanak, Nowon, Seocho and Dobong. The result of this study can be utilized for environmental planning and decision of related policies. Additionally, it can be promoted that awareness of implementing green roof of citizens, policy makers and building owners and effect of green networking between inside and outside Seoul can be increased.

• 보건의료산업학회지
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• 제13권4호
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• pp.121-132
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• 2019

Objectives: This study analyzed the prescription antibiotics characteristics of Acute respiratory infection outpatients. It provides a basis for establishing the correct evaluation project on appropriate prescribing indicators. Methods: The research data were collected from the National Health Insurance Corporation's 2014 sample cohort for Internal Medicine, Pediatrics, Otorhinolaryngology, Family Medicine and General practitioner clinics classification of diseases codes J00-J06, J20-J22, J40 outpatients. Results: The antibiotic prescription rate on the evaluation project for appropriate prescribing indicators of Health Insurance Review & Assessment Service was 43.54%, whereas in this study it was about 10% higher because the analysis targeted the entire acute respiratory infection diagnosis. Conclusions: There is a need to identify the correct antibiotic prescription by expanding the current assessment standard. Such standard must include acute lower respiratory infections and minor diagnosis because current evaluation projects on appropriate prescribing indicators targets only the major diagnosis of acute upper respiratory infection.

• 사상체질의학회지
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• 제33권3호
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• pp.95-126
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• 2021

Objectives The purpose of this study was to develop diagnostic tools for Sasang Constitutional patterns based on the middle classification of the Sasang Constitutional patterns. Methods Diagnosis and assessment indicators of Soeumin, Soyangin, Taeeumin, and Taeyangin patterns were extracted based on the 『Clinical Practice Guideline for Sasang Constitutional Medicine Symptomatology』 and 『Donguisusebowon』. An online survey was conducted on the 'importance of diagnosis and assessment indicators' by the Sasang Constitutional Medicine expert group. Results Based on the expert consultation results, the importance weight for each diagnosis and assessment indicators symptom was calculated, and the importance was ranked to develop diagnostic tools for Soeumin, Soyangin, Taeeumin, and Taeyangin patterns. Diagnostic tool consisted of 58 questions for Soeumin patterns, 68 questions for Soyangin patterns, 81 questions for Taeeumin patterns, and 42 questions for Taeyangin patterns. The final total score was calculated by reflecting each response score and the weight of each question. Conclusions The developed 'Diagnostic Tools for Sasang Constitutional patterns' can be used to make an effective and objective diagnosis in the clinical site. In the future, if the reliability and validity of these diagnostic tools are tested through clinical study, it will be possible to improve clinical applicability and contribute to standardization of diagnosis.

• 한국조경학회지
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• 제50권6호
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• pp.42-57
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• 2022

본 연구의 목적은 인공지능의 딥러닝을 활용하여 소셜미디어에서 공유되는 도시공원 이용자 활동사진을 분류하는 기초 모델을 만드는 것이다. 소셜미디어 데이터는 네이버 검색을 통해 수집된 도시공원 관련 사진들을 수집하여 분류모델에 활용하였다. 도시공원 특성 평가에 활용할 수 있는 지표인 자연성(naturalness), 잠재적 매력성(potential attraction), 활동(activity)을 기반으로 최종 21개의 분류 항목체계를 만들고, 항목별로 네이버에서 공유되는 실제 도시공원 사진을 수집하여 주석이 달린 데이터 세트를 구축했다. 수집한 사진 데이터 세트에 대해 커스텀(cuntom) CNN 모델과 사전 훈련된 CNN의 전이학습 모델을 설계하고 분석하였다. 연구결과, 가장 우수한 성능을 보였던 Xception 전이학습 모델이 최종적으로 도시공원 이용자 활동 이미지 분류모델로 선정되었으며, 그 외 다양한 평가 지표를 통해 모델을 평가했다. 본 연구는 소셜미디어에 공유되는 이용자 사진을 활용하여 도시공원 특성을 평가할 수 있는 지표로서 AI를 구축한 것에 의의가 있다. 딥러닝을 활용한 분류모델은 수동분류에 대한 한계를 보완하고, 대량의 도시공원 사진을 효율적으로 분류할 수 있어서 향후 도시공원의 모니터링 및 관리에 활용할 수 있는 유용한 방법이라고 할 수 있다.

• Journal of Information Processing Systems
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• 제12권1호
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• pp.169-181
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• 2016

Organizations in some industries are still hesitant to adopt the Enterprise Resource Planning (ERP) system due to its high risk of failures. This study examined how industry classification affects the successful implementation of the ERP system. To achieve this goal, we reinvestigated the existing ERP Success Model that was developed by Chung with the data from various industry sectors, since Chung validated the model only in the engineering and construction industries. In order to test to see if the Chung model can be applicable outside the engineering and construction industries, the relationships between the ERP success indicators and the critical success factors in the Chung model and those in the sample data collected from ten different industry sectors were compared and investigated. The ten industry sectors were selected based on the Global Industry Classification Standard (GICS). We found that the impact of success factors on the success of implementing an ERP system varied across industry sectors. This means that the success of ERP system implementation can be industry-specific. Thus, industry classification should be considered as another factor to help IT decision makers or top-management avoid ERP system failures when they plan to implement a new ERP system.