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The behaviour of structures under fire – numerical model with experimental verification
Neno Torić,Alen Harapin,Ivica Boko 국제구조공학회 2013 Steel and Composite Structures, An International J Vol.15 No.3
This paper presents a comparison of results obtained by a newly developed numerical model for predicting the behaviour of structures under fire with experimental study carried out on heated and simply supported steel beam elements. A newly developed numerical model consists of three submodels: 3D beam model designed for calculating the inner forces in the structure, 2D model designed for calculation of stress and strain distribution over the cross section, including the section stiffness, and 3D transient nonlinear heat transfer model that is capable of calculating the temperature distribution along the structure, and the distribution over the cross section as well. Predictions of the calculated temperatures and vertical deflections obtained by the numerical model are compared with the results of the inhouse experiment in which steel beam element under load was heated for 90 minutes.
Descriptive Epidemiology of Thyroid Cancers in Togo
Darre, Tchin,Amana, Bathokedeou,Pegbessou, Essobozou,Bissa, Harefeteguena,Amegbor, Koffi,Boko, Essohanam,Kpemessi, Eyawelohn,Napo-Koura, Gado Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.15
Background: The purpose of this study was to provide epidemiological and histological data of thyroid cancers in Togo. Materials and Methods: This was a retrospective cross-sectional study of cases of thyroid cancers diagnosed from 2000 to 2014 (15 years) at the pathology laboratory of the Sylvanus Olympio Teaching Hospital of $Lom{\acute{e}}$. All cases of review of a thyroid sample (biopsies, surgical specimens) were collected from the data records of that laboratory. Results: Thyroid cancers represented 1.1% (7930cases) of all cancers registered during the study period. Mean age was $45.4{\pm}0.3$ years and the proportion of females was 78.3%. We identified 92.4% carcinomas and 7.6% lymphomas. Carcinomas were well differentiated in 80 cases and were dominated by the papillary type (47 cases). Metastasis was observed in 13% of patients. The pTNM classification evaluated in 18 cases showed a predominance of grade I (13 cases). Lymphomas were dominated by lymphoma diffuse large B-cell (5 cases). Conclusions: This study is the first global standard for thyroid cancer pathology in Togo. The high frequency of follicular form suggests an unrecognized iodine deficiency. The improvement of the technical platform of the LAP (immunohistochemistry) will increase the diagnosis of rare forms of thyroid cancer.
LSTM 기반 충전구간 건전성 지표 활용 및 실시간 리튬이온 배터리 건강상태 추정
조상우(Sangwoo Cho),한동호(Dongho Han),박진형(Jinhyeong Park),신승화(Seunghwa Sin),최보고(Boko Choi),김종훈(Jonghoon Kim) 전력전자학회 2021 전력전자학술대회 논문집 Vol.2021 No.11
본 논문은 전기자동차(Electric vehicle; EV) 리튬이온 배터리(Lithium-ion battery; LIB)의 충전구간에서 추출된 건전성 지표(Health-indicator; HI)를 활용한 LSTM 기반 배터리 건강 상태(State-of-health; SOH) 실시간 추정 방법을 제안한다. 충전구간 특성에 따른 HI와 SOH의 상관관계 분석에 따라 SOH를 대변할 수 있는 HI를 선별하며 실시간 추정에 적합한 전압 구간을 선별한다. 사용함에 따라 감소하는 배터리 수명의 비선형적 변화 및 시계열적 특성 반영을 위해 Long-short term memory(LSTM) 인공지능 알고리즘 기반 추정 시스템을 구성하며 배터리 노화 데이터를 활용하여 알고리즘의 성능을 분석한다.