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전용덕,이재섭 대한건축학회 2001 대한건축학회 학술발표대회 논문집 - 계획계/구조계 Vol.21 No.1
Construction labor productivity is affected by several factors. Within these general factors are causes of labor productivity losses. These include overtime, adverse weather conditions, worker crowding, trade stacking, out-of-sequence work, acceleration, and miscellaneous disruptive events. When construction work is accelerated, the contractor must change schedules and work methods, hire additional workers, work overtime, or add shifts. Generally, accelerating construction work adversely affects productivity. Acceleration of a construction project occurs when the construction schedule for the project, or a portion of the project, is shorter than what would be required using normal sequences of construction on normal working schedule. Perhaps the largest cost component usually included in an acceleration is the alleged additional direct labor hours due to lost productivity. The most easily recognized costs of accelerating work are the premiums paid to laborers for overtime and shift work. This paper presents a calculation method of lost productivity costs due to acceleration. Using the proposed calculation method, this paper compares the standard man-hour data with Business Roundtable Guide, National Electrical Contractors Association, and R.S. Means Building Construction Cost Data in order to calculate lost productivity costs due to acceleration.
신경망 알고리듬을 기반으로 한 지능형 VRP 시스템의 구현
전용덕 동양대학교 산업기술연구소 2001 東洋大學校 産業技術硏究所 論文集 Vol.3 No.1
In this paper, we implemented the intelligent VRP(Vehicle Routing Planning) system using Neural Network and Expert system. The intelligent VRP system is a kernel of the logistics system. In the intelligent VRP system, we obtain a good solution reflecting the knowledge of the expert and improve the solution for self-study of Neural Network. This system contribute to the active development the logistics system, Supply Chain Management system according to the increasing demand of efficient logistics in change of the enterprise environment.
이승현(Seung Hyeon Lee),손동우(Dong Woo Son),은병욱(Byung Wook Eun),심소연(So Yeon Sim),최덕영(Deok Young Choi),선용한(Yong Han Sun),조강호(Kang Ho Cho0, 류 일(Eell Ryoo),전인상(In Sang Jeon0, 차 한(Hann Tchah) 대한소아신경학회 2009 대한소아신경학회지 Vol.17 No.2
목적:발작의 분류는 발작의 원인, 예후를 추정하거나 항경련제를 선택하는 데 있어 매우 중요하며 뇌파검사는 발작의 종류를 구분하고 적절한 치료를 하기 위해 시행하는 중요한 검사이다. 저자들은 소아에서 임상적 발작이 확실한 경우 간질발작의 임상양상과 뇌파검사 간의 일치 정도를 알아보고자 한다. 방법:2000년 1월 1일부터 2008년 9월 30일까지 1회 이상의 간질발작을 주소로 가천의대 길병원 소아청소년과에 방문한 환자 중 본원에서 처음으로 뇌파검사를 시행한 환자를 대상으로 하였다. 발작의 임상양상은 목격자와 본인의 설명을 기록한 의무기록지를 기준으로 하여 부분발작과 전신발작으로 분류하였고 뇌파검사는 발작간간질양방전을 기준으로 정상과 비정상으로 분류하였으며 각성과 수면상태 모두에서 시행하였다. 결과:총 461명의 환자의 뇌파검사 시의 평균 연령은 6.7세였고 남자는 247명, 여자는 214명이었다. 전체 환자에서 발작의 임상양상은 부분발작이 310명, 전신발작이 187명이었다. 각성뇌파검사에서 비정상은 158명으로 부분발작파가 118명, 전신발작파가 59명, 두 가지 발작파가 한 환자에서 나온 경우가 19명이었고, 수면뇌파검사에서는 비정상이 239명으로 부분발작파가 196명, 전신발작파가 77명, 두 가지 발작파가 한 환자에서 나온 경우가 34명이었으며 전체 환자에서는 비정상이 273명으로 부분발작파가 216명, 전신발작파가 97명, 두 가지 발작파가 한 환자에서 나온 경우가 40명이었다. 간질증후군은 전체 환자 중 90명에서 관찰되었다. 146명(41.5%)의 부분발작과 44명(23.4%)의 전신발작 및 79명(87.8 %)의 간질증후군이 뇌파소견과 일치하였다. 결론:영유아 및 소아에 있어 발작을 진단할 때에는 발작양상 분 아니라 정확한 뇌파소견을 세심하게 고려하여야 한다. Purpose:Electroencephalography(EEG) is an essential method carried out for classifying seizures and taking appropriate treatment. The aim of this study is to investigate the concordance between clinical findings of epileptic seizures and EEG in children. Methods:We enrolled 461 patients from those who visited Gil hospital from January 1, 2000 to September 30, 2008 with the chief complaint of epileptic seizure more than once and checked their first EEG at the same hospital. The clinical findings of seizure were based on the charts and interictal waking and sleep EEGs were done. Results:The mean age of the patients was 6.7 years old. 497 epileptic seizures occurred and its clinical finding included 310 of partial seizures and 187 of generalized seizures. In 315 waking EEG 158 were abnormal including 118 of partial seizures, 59 of generalized seizures and 19 of both seizures, in 431 sleep EEG 239 were abnormal including 196 of partial seizures, 77 of generalized seizures and 34 of both seizures, and in waking and/or sleep EEG 273 were abnormal including 216 of partial seizures, 97 of generalized seizures and 40 of both seizures. Epileptic syndromes were observed in 90 patients. 146(41.5%) of partial seizures, 44(23.4%) of generalized seizures, and 79(87.8%) of epileptic syndromes accorded with EEG. Conclusion:When diagnosing seizures in children, we must consider not only clinical findings but also accurate EEG findings.
The Effect of Barbaloin on LPS-stimulated Inflammatory Reaction in Mice Peritoneal Macrophages
Yong-Deok Jeon,Jong-Hyun Lee 한국자원식물학회 2017 한국자원식물학회지 Vol.30 No.3
Barbaloin is a major component of Aloe vera, which has been used for a laxative. Also, barbaloin is C-glucoside of aloe emodin anthrone which is founded in Aloe vera. Barbaloin has varieties of pharmacological activity such as inhibitory effects on inflammation, histamine release, cancer and microbial infection. But the effect of barbaloin on lipopolysaccharide (LPS)-stimulated macrophages has not been understood. In this study, we evaluated the effects of barbaloin against LPS-stimulated production of nitric oxide (NO), inflammatory cytokines and MAPKs activation in macrophage. We treated barbaloin (0.1 , 1 , 10 , 100 μM) in LPS-stimulated mice peritoneal macrophage. Our results showed that barbaloin significantly inhibited production of NO and cytokines of tumor necrosis factor (TNF)-α, interleukin (IL)-6, interleukin (IL)-1β in LPS-stimulated peritoneal macrophage. Moreover, barbaloin inhibited the phosphorylation of ERK and JNK in a dose dependent manner. These results indicated that barbaloin could be useful for inflammatory diseases.
Yong-Joon Lee,Yongsung Suh,Jung-Sun Kim,Yun-Hyeong Cho,Kyeong Ho Yun,Yong Hoon Kim,Jae Young Cho,Ae-Young Her,Sungsoo Cho,Dong Woon Jeon,Sang-Yong Yoo,Deok-Kyu Cho,Bum-Kee Hong,Hyuckmoon Kwon,Sung-Jin 대한심장학회 2022 Korean Circulation Journal Vol.52 No.4
Background and Objectives: Identifying patients with high bleeding risk (HBR) is important when making decisions for antiplatelet therapy strategy. This study evaluated the impact of ticagrelor monotherapy after 3-month dual antiplatelet therapy (DAPT) according to HBR in acute coronary syndrome (ACS) patients treated with drug eluting stents (DESs). Methods: In this post-hoc analysis of the TICO trial, HBR was defined by 2 approaches: meeting Academic Research Consortium for HBR (ARC-HBR) criteria or Predicting Bleeding Complications in Patients Undergoing Stent Implantation and Subsequent DAPT (PRECISE-DAPT) score ≥25. The primary outcome was a 3–12 months net adverse clinical event (composite of major bleeding and adverse cardiac and cerebrovascular events). Results: Of the 2,980 patients without adverse events during the first 3 months after DES implantation, 453 (15.2%) were HBR by ARC-HBR criteria and 504 (16.9%) were HBR by PRECISE-DAPT score. The primary outcome rate was higher in HBR versus non-HBR patients (by ARC-HBR criteria: hazard ratio [HR], 2.87; 95% confidence interval [CI], 1.76–4.69; p<0.001; by PRECISE-DAPT score: HR, 3.09; 95% CI, 1.92–4.98; p<0.001). Ticagrelor monotherapy after 3-month DAPT was associated with lower primary outcome rate than ticagrelor-based 12-month DAPT regardless of HBR by ARC-HBR criteria, with similar magnitudes of therapy effect for HBR and non-HBR patients (p-interaction=0.400). Results were consistent by PRECISE-DAPT score (p-interaction=0.178). Conclusions: In ACS patients treated with DESs, ticagrelor monotherapy after 3-month DAPT was associated with lower rate of adverse clinical outcomes regardless of HBR, with similar magnitudes of therapy effect between HBR and non-HBR.
자기조직화 신경망을 이용한 셀 형성 문제의 기계 배치순서 결정 알고리듬
전용덕(Yong-Deok Jeon) 한국산업경영시스템학회 2019 한국산업경영시스템학회지 Vol.42 No.2
Self Organizing Map (SOM) is a neural network that is effective in classifying patterns that form the feature map by extracting characteristics of the input data. In this study, we propose an algorithm to determine the cell formation and the machine layout within the cell for the cell formation problem with operation sequence using the SOM. In the proposed algorithm, the output layer of the SOM is a one-dimensional structure, and the SOM is applied to the parts and the machine in two steps. The initial cell is formed when the formed clusters is grouped largely by the utilization of the machine within the cell. At this stage, machine cell are formed. The next step is to create a flow matrix of the all machine that calculates the frequency of consecutive forward movement for the machine. The machine layout order in each machine cell is determined based on this flow matrix so that the machine operation sequence is most reflected. The final step is to optimize the overall machine and parts to increase machine layout efficiency. As a result, the final cell is formed and the machine layout within the cell is determined. The proposed algorithm was tested on well-known cell formation problems with operation sequence shown in previous papers. The proposed algorithm has better performance than the other algorithms.