• 치위생과학회지
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• 제22권2호
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• pp.90-98
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• 2022

Background: Integrated management of general, mental, and oral health is necessary to improve an individual's quality of life. This study aimed to identify the effects of mental and oral health behaviors on metabolic syndrome. Methods: A total of 4,227 Korean adults aged 20 years or older were selected as study subjects using raw data from the first year (2019) of the 8th period of the Korea National Health and Nutrition Examination Survey (KNHANES). A complex sample chi-square test and a complex sample logistic regression analysis were performed using the PASW Statistics ver. 18.0 program. Results: The effect on metabolic syndrome was significantly higher in male than in 1.833 times in male, 2.914 times in 30~49 years old, and 3.855 times in 50~64 years old, and 3.929 times in people over 65 years old compared to 20~29 years old, and compared to those with a college degree or higher, those with a middle school degree or lower are 2.116 times, those with lower income levels are 1.507 times higher, those with middle-lower are 1.359 times higher, those with middle-high are 1.401 times. Compared to non-smokers, smokers were 1.570 times higher than non-smokers and compared to those without speech problem and chewing difficulty, they were 1.717 times and 1.397 times higher, respectively and 1.973 times higher in those with 0~1 brushing times per day. Mental health did not affect prevalence of metabolic syndrome. Conclusion: It is necessary to improve maintain a healthy lifestyle to lower the risk of metabolic syndrome. It is necessary to establish effective dental hygiene customized education and an efficient health management system at the national level that can induce improvement of oral health behavior for the prevention and management of metabolic syndrome.

• 한방재활의학과학회지
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• 제32권2호
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• pp.95-103
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• 2022

Objectives This study was conducted to assess the effect of chuna manual therapy after hip arthroplasty. Methods We searched across 9 electronic databases (PubMed, Cochrane Library, Wangfang data, China National Knowledge Infrastructure [CNKI], Oriental Medicine Advanced Searching Integrated System [OASIS], National Digital Science Library [NDSL], Korean Medical Database [KMBASE], Koreanstudies Information Service System [KISS], Research Information Sharing Service [RISS]) to find randomized controlled clinical trials for chuna manual therapy after hip arthroplasty. Results On inclusion criteria, 11 appropriate studies were included and analyzed. The deep vein thrombosis incidence of the chuna manual therapy group was statistically lower than the conventional treatment group (p=0.0002). Chuna manual therapy significantly improved the Harris hip score compared with conventional treatment (p<0.00001). Also, chuna manual therapy combined with herbal fumigation therapy significantly elevated the hip joint function score of Harris hip score compared with the conventional therapy group (p<0.00001). Conclusions The systematic review showed that chuna manual therapy had significant effects on hip arthroplasty. Nonetheless, considering the high risk of bias and geographic bias, further research with well-designed studies is required to support the effectiveness of chuna manual therapy.

• 한국건축시공학회지
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• 제22권5호
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• pp.425-430
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• 2022

초고층 건축물용 매트기초에 사용되는 콘크리트는 시공성 및 품질확보를 위하여 일체타설로 진행되는 경우가 많다. 하지만 일체타설의 경우 수화반응 과정에서 온도균열이 발행할 우려가 높으며 혼화재 치환을 통해 고성능 고내구성 콘크리트 최적배합을 도출할 필요가 있다. 본 연구에서는 저자의 기존연구에서 도출한 최적 고성능 저발열 콘크리트 배합으로 제작된 시험체를 대상으로 염해 및 탄산화, 내황산염에 대한 실험을 실시하고 염소이온 확산계수와 탄산화계수, 황산염에 대한 시멘트 매트릭스의 저항을 정량적으로 평가하였다. 혼화재의 혼입에 의한 잠재수경성 및 포졸란 반응에 의한 높은 저항성을 확인할 수 있었다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.136-144
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• 2022

Construction sites are characterized by dangerous situations and environments that cause fatal accidents. Potential risk detection needs to be improved by continuously monitoring site conditions. However, the current labor-intensive inspection practice has many limitations in monitoring dangerous conditions at construction sites. Computer vision technology that can quickly analyze and collect site conditions from images has been in the spotlight as a solution. Nonetheless, inspection results obtained via computer vision are still stored and managed in centralized systems vulnerable to tampering with information by the central node. Blockchain has been used as a reliable and efficient decentralized information management system. Despite its potential, only limited research has been conducted integrating computer vision and blockchain. Therefore, to solve the current safety management problems, the authors propose a framework for construction site inspection that integrates object detection and blockchain network, enabling efficient and reliable remote inspection. Object detection is applied to enable the automatic analysis of site safety conditions. As a result, the workload of safety managers can be reduced with inspection results stored and distributed reliably through the blockchain network. In addition, errors or forgery in the inspection process can be automatically prevented and verified through a smart contract. As site safety conditions are reliably shared with project participants, project participants can remotely inspect site conditions and make safety-related decisions in trust.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.68-68
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• 2021

Sesan강과 Srepok강은 베트남, 캄보디아, 라오스가 공유하는 3S강 유역 (Sesan강, Srepok강, Sekong강)의 일부로 연구 및 관리된다. 3S강 유역은 Mekong강의 중요한 지류이며 Mekong강 유역의 상당 부분을 구성한다(Mekong강 유역 면적의 10%, 연간 총 유출량의 20%). 베트남 측 Sesan강 유역의 면적은 11,255km²이고 Srepok강 유역 면적은 18,162km²이다. Sesan강과 Srepok 강의 상류는 베트남 중부 고원의 긴 산맥에 위치하고 있다. Sesan강과 Srepok강 유역은 기후변화에 따른 홍수, 가뭄, 어업 지속 가능성 감소, 퇴적 등 많은 문제와 도전에 직면 할 것으로 예측되고 있다. 본 연구에서는 World Bank의 "Viet Nam Mekong Integrated Water Resources Management (M-IWRM) Project의 일환으로 베트남 정부 차원에서 처음으로 구축한 수자원관리 의사결정지원 시스템인 "DSS-2S"를 활용하여, Sesan-Srepok강 유역의 강둑 침식 위험성을 분석하였다. DSS-2S는 MIKE Hydro Basin을 기반으로 SWAT모델, 수리모델, 하상변동 모델, 및 수질모델 등과 연계 하여 구축되었다. 2030 년을 목표 연도로 설정하고, 기후 변화 시나리오와 사회 경제적 발전을 기반으로 DSS-2S에 포함되어 있는 유사 이송 및 수리학적 모델을 활용하여 주요 하천 단면에서의 평균 유속과 하상 침식 양을 예측하였다. 유속 및 심부 침식 기준에 근거하여 강둑 침식 위험성을 분석하였다. 모델의 시뮬레이션 결과를 기반으로 강둑 침식 위험이 있는 강 구간은 고(高)유속과 높은 침식의 조합에 의해 결정되었다. 고위험 침식 예상지는 Sesan강 유역의 Dak Bla, Po Ko, 및 Se San강에 총 길이 73.5km에 걸쳐 발생 할 것으로 분석되었으며, 침식 위험이 매우 높은 지역은 Dak Bla 강에 총 길이 2,286m, Po Ko 강에 총 길이 5,096m 정도가 발생 하는 것으로 분석되었다. 강둑 세국을 유발할 수 있는 다양한 인자들을 고찰하였으며, 본 성과는 베트남 중앙 정부의 장기수 자원 종합계획 수립의 기본 자료로 활용 될 예정이다.

• 한국농공학회논문집
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• 제65권5호
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• pp.37-49
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• 2023

The drought risk has been increasing recently due to climate change causing the extreme climate to be more frequent. In order to supply agricultural water stably under drought, it is necessary to operate an agricultural reservoir in response to drought. To this end, it is crucial to establish appropriate drought response operation rules considering weather conditions and reservoir status. In the reservoir operation simulation, the supply amount differs from the actual reservoir supply for many reasons, including maintaining water levels for supply and accommodating farmers' requests. So, for a more realistic reservoir operation simulation, it is necessary to reflect the reservoir operation rules of the actual water management site. Therefore, in this study, through a survey, the standards for limitation of agricultural water supply applied to agricultural reservoirs in Korea were investigated, and the criteria for drought response reservoir operation (DRO) were established based on the survey. Then, the DRO was applied to the irrigation period for nine subject reservoirs. The applicability was evaluated by comparing the DRO result to the operation result of HOMWRS (Hydrological Operation Model for Water Resources System). The reservoir drought index, storage rate, and daily supply were compared for evaluation. From the result, DRO showed more stable operation results in most cases against drought as it has fewer days of water supply limitation and a somewhat reservoir storage rate which can be utilized for prolonged drought.

• Journal of Korean Neurosurgical Society
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• 제66권6호
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• pp.632-641
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• 2023

Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

• 품질경영학회지
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• 제52권1호
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• pp.43-56
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• 2024

Purpose: The injection molding process, crucial for plastic shaping, encounters difficulties in sustaining product quality when replacing injection machines. Variations in machine types and outputs between different production lines or factories increase the risk of quality deterioration. In response, the study aims to develop a system that optimally adjusts conditions during the replacement of injection machines linked to molds. Methods: Utilizing a dataset of 12 injection process variables and 52 corresponding sensor variables, a predictive model is crafted using Decision Tree, Random Forest, and XGBoost. Model evaluation is conducted using an 80% training data and a 20% test data split. The dependent variable, classified into five characteristics based on temperature and pressure, guides the prediction model. Bayesian optimization, integrated into the selected model, determines optimal values for process variables during the replacement of injection machines. The iterative convergence of sensor prediction values to the optimum range is visually confirmed, aligning them with the target range. Experimental results validate the proposed approach. Results: Post-experiment analysis indicates the superiority of the XGBoost model across all five characteristics, achieving a combined high performance of 0.81 and a Mean Absolute Error (MAE) of 0.77. The study introduces a method for optimizing initial conditions in the injection process during machine replacement, utilizing Bayesian optimization. This streamlined approach reduces both time and costs, thereby enhancing process efficiency. Conclusion: This research contributes practical insights to the optimization literature, offering valuable guidance for industries seeking streamlined and cost-effective methods for machine replacement in injection molding.

• 대한한방내과학회지
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• 제39권3호
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• pp.372-388
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• 2018

Objective: This study evaluates the effectiveness and safety of moxibustion for benign prostatic hyperplasia (BPH). Methods: Using the keywords "benign prostatic hyperplasia", "benign prostatic hypertrophy", "benign prostatic enlargement", "prostatic hyperplasia", and "moxibustion", we searched papers in numerous databases, including National Discovery for Science Leaders (NDSL), Korean Traditional Knowledge Portal (KTKP), Oriental Medicine Advanced Searching Integrated System (OASIS), Research Information Sharing Service (RISS), PubMed, Embase, and CENTRAL. The search range included randomized controlled trials (RCTs). Papers not matched with inclusion criteria were excluded. The methodological quality of each RCT was assessed using the Cochrane risk-of-bias tool. Where appropriate, meta-analyses were performed. Results: Initially, 77 studies were found. Of these, 11 duplicate studies were removed and 27 were excluded following title and abstract screening. After the remaining 39 papers were scanned, 13 RCTs were selected and analyzed. Among these 13 RCTs, five compared moxibustion therapy and oral medication, seven compared moxibustion plus acupuncture therapy and oral medication, and one compared moxibustion plus acupuncture therapy and sham-moxibustion. The meta-analysis showed positive results for the use of moxibustion therapy in terms of International Prostate Symptom Score (IPSS), Quality Of Life (QOL), Maximum Flow Rate (Qmax), Prostate Volume (PV), and the efficacy rate. The meta-analysis showed positive results for the use of moxibustion plus acupuncture therapy in terms of IPSS, QOL, and the efficacy rate. Conclusions: This meta-analysis of clinical trials suggests that moxibustion is effective intreating BPH patients. The results of this study could be applied to clinical treatment of BPH. However, additional large-scale clinical researches should be conducted.

• 한국컴퓨터정보학회논문지
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• 제17권5호
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• pp.137-146
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• 2012

공급사슬망(Supply Chain Management: SCM)은 비용을 최소화시키고, 불확실성을 줄이며 전체적인 최적화 과정을 통해 고객만족을 달성하려는 일종의 경영 패러다임이다. 이는 모든 거래 파트너들 사이의 원료, 부품뿐만 아니라 정보, 자금, 지식의 흐름을 통합적으로 관리운영하기 때문에 SCM의 RFID 도입은 전체 SCM의 효율성을 증가시킬 수 있을 것으로 기대되고 있다. 하지만 불확실한 환경 하에서 객관적인 분석 없이 RFID 시스템 도입여부를 판단하는 의사결정과정에는 한계가 있고 리스크도 크다. 따라서 본 연구는 RFID 시스템의 유효성을 바코드와 비교하고자 할 때 사용될 수 있는 통계적인 분석 모형들을 제시하고 있으며, 비전문 통계인도 이를 쉽게 사용하여 자료를 입력 및 분석할 수 있는 RUSAT(RFID Utility Statistical Analysis Tool)라는 분석 도구를 개발하였다. 본 연구에서 개발된 RUSAT는 향후 RFID 시스템을 도입하고자 하는 기업들에게 효과적인 의사결정 도구로써 널리 활용되기를 기대한다.