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건설장비의 배출가스 데이터 기반 대기오염물질 배출량 예측 시스템
노재윤 ( Noh¸ Jaeyun ),김유진 ( Kim¸ Yujin ),김수민 ( Kim¸ Sumin ),한승우 ( Han¸ Seungwoo ) 한국건축시공학회 2021 한국건축시공학회 학술발표대회 논문집 Vol.21 No.2
As non-road mobile pollutants such as construction equipment are emerging as the main cause of air pollutants emission, construction equipment regulations are gradually strengthening. Research was conducted by correcting the emission coefficient to calculate and predict air pollutant emissions of construction equipment, but it did not reflect site variables such as field and equipment conditions that affect actual emissions. This study derived an Artificial Neural Network emission prediction model based on the actual emission data of excavators and trucks measured at the site and proposed a platform to predict the emission of air pollutants at the site according to the working size and conditions. Through this, it is possible to establish an eco-friendly process plan using a model from the construction plan.
Jaeyun Han,Tae Seob Shin 서울대학교 교육종합연구원 2019 The SNU Journal of Education Research Vol.28 No.4
The purpose of this study was to investigate the relationships among mindsets towards self and others (i.e., classmates), social comparison motive, and mathematics self-efficacy. Study 1 demonstrated that when sources of self-efficacy were controlled, growth mindset towards others facilitated students’ mathematics self-efficacy, indicating that positively appreciating others’ mathematics ability as malleable could be motivationally adaptive. Furthermore, when sources of self-efficacy were controlled, Study 2 revealed that this facilitation effect was only found among those students who had low self-enhancement motive. Having low self-enhancement motive means that students are less likely to compare themselves with others who have lower achievements. However, when students had high self-enhancement motive, the growth mindset toward others undermined mathematics self-efficacy.
Ceria Nanoparticles Synthesized With Aminocaproic Acid for the Treatment of Subarachnoid Hemorrhage
Jeong, Han-Gil,Cha, Bong Geun,Kang, Dong-Wan,Kim, Do Yeon,Ki, Seul Ki,Kim, Song I.,Han, Ju hee,Yang, Wookjin,Kim, Chi Kyung,Kim, Jaeyun,Lee, Seung-Hoon Ovid Technologies Wolters Kluwer -American Heart A 2018 Stroke Vol.49 No.12
절제 불가능한 국소진행형 췌장암에서 동시적 항암화학방사선요법 및 gemcitabine 유지 항암화학요법 후 장기 관해된 증례
양재윤 ( Jaeyun Yang ),임태규 ( Taekyu Lim ),김태균 ( Taegyoon Kim ),한승문 ( Seungmoon Han ),이상희 ( Sanghee Lee ),김희서 ( Huiseo Kim ),이지원 ( Jiwon Lee ),안성영 ( Seongyeong Ahn ) 대한췌담도학회 2016 대한췌담도학회지 Vol.21 No.4
저자들은 절제 불가능한 국소진행형 췌장암 환자가 동시적 항암화학방사선요법 및 gemcitabine 유지 항암화학요법을 받은 후 장기간 동안 완전 관해를 유지하고 있는 증례를 보고하는 바이다. 이 증례를 통해 다른 절제 불가능한 국소진행형 췌장암 환자들에게도 동시적 항암화학방사선요법 및gemcitabine 유지 항암화학요법 치료를 시도해 볼 수 있을것이다. Locally advanced or metastatic disease accounts for two thirds of total patients with pancreatic cancer. Patients with pancreatic cancer are assessed as resectable, potentially resectable (borderline) or unresectable according to pre-operative examinations. The chances of resectability may be enhanced by using neoadjuvant systemic chemotherapy, radiotherapy or both. This case report presents a locally advanced pancreatic adenocarcinoma that was identified to be unresectable during surgical exploration. After receiving concurrent chemoradiotherapy, the patient was re-evaluated, identified as unresectable and received gemcitabine maintenance chemotherapy. Herein, we report the case of a patient with unresectable locally advanced pancreatic adenocarcinoma who achieved a complete response lasting for more than 32 months after receiving concurrent chmoradiotherapy followed by gemcitabine maintenance chemotherapy.
CCTV 이미지와 YOLO 를 활용한 도로 객체 인식 모델 개발
한예찬(Han Yechan),이석준(Lee Sukjun),김재윤(Kim Jaeyun) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
CCTV 는 우리의 일상생활에서 흔하게 접할 수 있으며 다양한 장소에서 활용되고 있다. CCTV 설치 대수는 날이 갈수록 급격하게 증가하고 있지만 이를 관리하고 활용하는 인력은 매우 부족한 현실이다. 따라서 CCTV 를 통해 제공되는 이미지를 분석하고 객체를 탐지하여 업무를 자동화 하는 기술이 요구된다. 따라서 본 연구는 CCTV 이미지와 YOLO 를 활용하여 도로 객체 인식 모델을 개발한다. 제안한 모델은 전이 학습을 통해 개발되었으며, 검증데이터에서 40%의 mAP 를 달성하는 것을 확인하였다.