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다중플랜트 생산 공급망 계획에서 납기지연 최소화 및 자원이용 최대화를 위한 다목적 계획
한만형,문치웅,김종수 한국경영과학회 2001 한국경영과학회 학술대회논문집 Vol.- No.2
In this paper, we presents a systematic methodology for minimizing tardiness and maximizing resource utilization in a multi-plant supply chain. A methodology is represented to a multi-objective mathematical program model. The model offers flexible and efficient multi-plant planning and scheduling. Also, We develope a realistic and flexible planning model using the genetic algorithm to solve the model.
Hydroxyethyl methacrylate (HEMA)와 Triethylene glycol dimethacrylate (TEGDMA)가 실험적 복합레진의 특성에 미치는 영향
한만형,최부병,우이형,Han Man-Hyun,Choi Boo-Byung,Woo Yi-Hyung 대한치과보철학회 2003 대한치과보철학회지 Vol.41 No.4
Purpose : The purpose of this study was to compare HEMA and TEGDMA as diluents for the composite resin. Material and methods : Eight kinds of experimental light curable composite resins were prepared and used. Concentrations of monomer and filler were same for all experimental composites, except, the diluent's ratios to the monomer. The ratio of diluents to Bis-GMA were 15%, 20%, 25%, and 30%, and two kinds of diluents were used, so total experimental groups were eight including one control group of 25% TEGDMA. Results : Depth of cure, flexural strength, shear bond strength to bovine enamel, shear bond strength to bovine dentin, water absorption and solubility of composites in water were measured. Sample size for each groups were 10. Arithmetic means were used as each groups representative values, and regression test for two diluents and low concentrations, Duncan's multiple range test, and Two-way ANOVA test were done for kinds of diluents and its concentrations at level of 0.05. Conclusion : Following results were obtained ; 1. There were not significant differences in effects of HEMA and TEGDMA to depth of cure, flexural strength of composites and shear bond strength to bovine enamel (p>0.05). 2. Increase of the concentrations of the diluents made the depth of cure (p<0.001) and flexural strength (p<0.05) a little higher. 3. Shear bond strength to dentin was higher on HEMA containing composites than TEGDMA containing composites (p<0.001). 4. Water absorption was higher on HEMA containing composites than TEGDMA containing composites (p<0.01).
근로자의 건강영향인지와 사망만인율을 통한 직무스트레스 해소계수 산정- 제조업 현장근로자를 중심으로 -
한만형,천영우,이익모,황용우 한국산업보건학회 2019 한국산업보건학회지 Vol.29 No.1
Objective: The purpose of this study was to find out what kind of change in death rate when job stress is solved by calculating job stress relieve coefficient. Methods: This study used the data of the fourth working condition survey. Regression analysis was used to determine the relationship between health effects recognition and Death rate per 10,000 workers. After that the recognizing and non - recognizing groups were categorized by health effects recognition, and the differences between the two groups were confirmed by cross tabulation analysis. Results: Regress analysis P-value is 0.011 and R2 is 0.979. Death rate per 10,000 worker increased with the increase in the number of non - health impact recognizing group. The relieve factors were ① work culture(2.859) ② physical environment(2.184), ③ improper reward (1,839), ④ relationship conflict(1.646), ⑤ job requirement(1.613), ⑥ job autonomy(1.354), ⑦ job instability(1.334), And ⑧ organizational system(1.201). The higher the relieve coefficient is, the higher the probability of belonging to the non - health impact recognizing group when there is no job stress factor. Conclusions: When job stress is resolved, there is a high probability that the health impact recognition is reduced, which can lead to an increase in death rate. but according to previous studies, Job stress can cause accidents by reducing the safety behavior of accidents. The job stress management plan should simultaneously consider reducing job stress and increasing health impact recognition
한만형,정현석,권승리 한국공업화학회 2016 한국공업화학회 연구논문 초록집 Vol.2016 No.1
In perovskite solar cell, electron transport layer (ETL) which normally used mp-TiO<sub>2</sub> is essential to extract electrons and decrease the hysteresis in perovskite solar cell I-V curve. However, mp-TiO<sub>2</sub> is composed of organic binder which affect to interrupt the electrons transport. Therefore, for removing of organic binder, high temperature process (500°C) is necessary. In this reason, the fabrication of flexible perovskite solar cell is limited. In the present study, we tried to treat mp-TiO<sub>2</sub> layer by Reactive Ion Etching (RIE) process. We controlled plasma power of RIE, atmosphere of chamber(ratio of Ar and O<sub>2</sub>) and reaction time. We checked removal of organic binder with mp-TiO<sub>2</sub> by XPS and formation of good crystallinity of anatase TiO<sub>2</sub> phase by XRD and TEM. Finally we not only optimized the process of RIE instead of high temperature process but also fabricated good efficiency of perovskite solar cells.
스마트폰 멀티모달 센서 기반 개인화 행위모델링 및 실시간 행위인지
한만형(Manhyung Han),이승룡(Sungyoung Lee) 한국정보과학회 2013 정보과학회논문지 : 소프트웨어 및 응용 Vol.40 No.6
스마트폰과 같은 모바일 기기의 발전으로 인해 다양한 센서를 통해 사용자의 의도나 요구사항을 인지하고자 하는 행위인지가 활발히 연구되고 있다. 기존의 행위인지 기술은 행위 데이터의 수집과 처리가 분리되어 있어 멀티모달 센서로부터 수집한 방대한 양의 데이터를 오프라인에서 모델링과 인지가 수행되므로 특정 사용자에 개인화된 행위인지가 어렵고, 사용자가 직접 자신의 특정행위를 추가하거나 스스로 행위모델을 만들 수 있는 프레임워크의 부재로 개인화된 라이프로그의 수집이 어렵다는 한계가 있다. 본 논문에서는 스마트폰에서 개인화된 행위 모델링 및 실시간 행위인지를 위해, Naive Bayes 알고리즘을 확장한 적응형 Naive Bayes(A-NB) 알고리즘과 이를 기반으로 한 계층적 행위인지 프레임워크(HARF)를 제안한다. 이를 통해 스마트폰 환경에서 사용자가 스스로 자신의 행위를 모델링하거나 추가할 수 있으며, Naive Bayes에 비해 높은 정확도와 모바일 환경에서 실시간 행위인지가 가능하다. 제안 알고리즘의 평가를 위해 스마트폰 어플리케이션을 개발하여 15개의 행위를 실험하였으며 평균 92.96%의 높은 정확도를 보였다. Activity recognition for the purposes of recognizing a user’s intentions using multimodal sensors is becoming a widely researched topic largely based on the prevalence of the smartphone. Previous studies have reported the difficulty in recognizing personalized activities of individual users given that the collection and processing of the vast amount of activity data from multimodal sensors are separated and performed on off-line. In addition, recognizing personalized life-logs is difficult due to the absence of a framework which enables the addition of activities by the user themselves. In this paper, we propose an adaptive Naive Bayes (A-NB) algorithm and hierarchical activity recognition framework (HARF) which extends the Naive Bayes approach in an effort to personalizes the process of activity modeling & real-time activity recognition. Based on this approach, the users can add or model their own activities by themselves with a smartphone. The proposed algorithm demonstrates relatively higher accuracy than the Naive Bayes approach and also enables the recognition of the user’s activities in a mobile environment. For the purposes of evaluation, we have developed a smartphone application. Based on this platform, the experimental results demonstrate that the proposed algorithm has the ability to classify fifteen activities with an average accuracy of 92.96%.
Haddon Matrix와 Bow-Tie 기법을 이용한 Root Cause Analysis에 관한 연구
한만형(ManHyeong Han),강준혁(JunHyeok Gang),천영우(YoungWoo Chon) 한국위험물학회 2018 한국위험물학회지 Vol.6 No.1
In 2017, a fire explosion occurred during spray painting at Company A. Four employees of two-stage subcontractor Company D were killed in the accident. Therefore, Company A derived improvements to prevent recurrence of accidents. But It is difficult to judge that the social system and structural problems have been sufficiently improved. This is probably due to the fact that in the case of the existing accident investigation, the cause of the accident is derived only from the accident situation. Therefore, this study investigated through the Haddon Matrix how the cause of accident are connected. After that, reclassified the causes of accidents as direct, indirect, social system and structural causes. And The reclassified cause was expressed by Bow-Tie. Through the found accident cause by this study, it was confirmed that the accident investigation method applied in this study enables to derive from the cause of surface accident such as non - conformity of safety rules to social system and structural cause such as excessive subcontracting.