This study analyzed ignition probability about Lithium-polymer batteries of what variously were being produced wearable devices recently. The study analyzed ignition probability by PCM(Protection Circuit Module) operating state and overcharged, over-discharged, exposed to high temperatures of Lithium polymer batteries, analyzing wearable devices on the market. Then it classified experimental results to implement analysis comparison about weight, X-ray imaging, battery decomposition. With these experiments, the study analyzed combustion-possibility and fire patterns. These statistics will be used to measure and verify the cause of a fire when identify wearable devices using Lithium-polymer batteries.

This paper recognizes the risk of ignition of air fryer (machine that can cook fried dishes with hot air without oil) that is far exceeding the sales rate of microwave ovens, which is necessary to modern household kitchen, and identifies fire risk through the operation principle of the process of heat transfer, and the main structure of the machine. The fire test that we conducted is to observe the risk of ignition of the machine due to the damage to the safety system and the possibility of igniting oil paper along with food, to experiment with the possibility of ignition due to blockage of the exhaust due to obstacles, and accumulation of oil stains on the hot wire, and to present the method of fire control and devise countermeasures.

페르시아 전쟁(기원전 490-479년)을 시작으로 알렉산드로스 대왕의 죽음(기원전 323년) 에 이르기까지 크고 작은 전투와 전쟁이 끊임없이 벌어졌던 그리스의 전장에 세워진 트로파이온에는 고전기 그리스인들의 전쟁과 승리에 대한 관념이 담겨있다. 그리스의 초기 트로파이온은 전장에 전쟁의 승패가 결정된 직후에 세워진다는 특징을 갖는다. 그리고 그것을 세움으로써 승자는 신들에 대한 감사를 표현하고 미래의 전투에 대한 승리를 담보하고자 하였다. 동시에 이것은 전우들과 승리의 기억을 공유하고, 적군에게는 패배를 시각적으로 각인시킴으로써 그들의 잠재적인 도발의 의지를 상실하게 만드는 마지막 전략이기도 하였다. 본 연구에서 살펴본 기원전 5세기의 도기들과 아테나 니케 신전의 난간을 장식한 부조는 그러한 전술의 기록이다.

With YouTube’s overwhelming share of the market, research on analyzing the types of content on YouTube is essential. An analysis of major global fashion YouTubers that the types of video content could be largely classified into three main categories: Fashion, beauty and daily life. The fashion category was subdivided into styling and fashion product review content type. The beauty category was subdivided into tutorials, beauty product reviews, and beauty tip content types. The daily life category was subdivided into daily sharing, consultation, and Q & A content types. Video content within fashion YouTuber channels is accompanied by expertise in fashion and beauty. At the same time, videos on daily life are uploaded, and through interactive communication with viewers, YouTubers form an intimate bond with subscribers. Content emphasizing entertainment, not just information delivery that introduces fashion products, is attracting growing interest among subscribers. This study analyzed the content of the increasingly popular fashion YouTuber channels and determined its important characteristics. The study makes a significant contribution to academic research by laying a foundation for future studies of YouTube content in the fashion field. Since differences in country of birth and race among YouTubers may influence content production, follow-up research will be conducted on the types and characteristics of domestic fashion YouTubers.

This study defines the concept of the fashion meme, which has recently emerged as a fashion trend, influential fashion keyword. After analyzing the concepts and characteristics of traditional memes from prior studies, examples of fashion memes were collected from online community and social network services, while a literature study and case study analysis were conducted in parallel drawing on related articles and journals. Modern fashion memes refer to fashion-related symbols and fashion images that are spread online by word-of-mouth, together with fashion styles and items that spread as a result of being worn. Fashion memes in cyberspace are mainly spread through social network or message services, and sometimes combine text, images, videos, hashtags, and emoticons. Fashion memes are a type of collective action of the people in response to social problems in the world, and often involve humorous antics, satire, shock, and eccentricity. Shared fashion memes reflect the expression of personality expression and fun, and at the same time are used as an expression of designer and brand creativity and are integral to marketing. Fashion memes are classified into four types, based on two central axes as follows: non-commercial/ commercial and anti-fashion/fashion-friendly. Unlike traditional memes, Internet-based fashion memes emphasize elements of transformation through creativity as well as imitation, which has become a persisting contemporary trend beyond temporary phenomena.

Various elements of Fabrication (FAB), mass production of existing products, new product development and process improvement evaluation might increase the complexity of production process when products are produced at the same time. As a result, complex production operation makes it difficult to predict production capacity of facilities. In this environment, production forecasting is the basic information used for production plan, preventive maintenance, yield management, and new product development. In this paper, we tried to develop a multiple linear regression analysis model in order to improve the existing production capacity forecasting method, which is to estimate production capacity by using a simple trend analysis during short time periods. Specifically, we defined overall equipment effectiveness of facility as a performance measure to represent production capacity. Then, we considered the production capacities of interrelated facilities in the FAB production process during past several weeks as independent regression variables in order to reflect the impact of facility maintenance cycles and production sequences. By applying variable selection methods and selecting only some significant variables, we developed a multiple linear regression forecasting model. Through a numerical experiment, we showed the superiority of the proposed method by obtaining the mean residual error of 3.98%, and improving the previous one by 7.9%.

Demand for cosmetics with functionality and eco-friendliness has increased dramatically due to recent aging, well-being trends, and increased interest in beauty. Cosmetics production in 2014 was 8,970.4 billion won, an increase of about 50% compared to 6,014.6 billion won in 2010. In the midst of this, similar companies in intense competition are pursuing differentiated strategies and innovation activities to solve quality, price and delivery problems. In particular, cosmetics packaging work is getting more difficult due to the increasing bill of materials (BOM) and difficult assembly methods. Therefore, in this study, the following problems were identified and suggestions for the improvement of the packaging Many research laboratories such as biotechnology, chemistry, and pharmaceuticals, which are undergoing various studies, are equipped with ready-made laboratory safety equipments such as bio-safety workbenches, aseptic bases, and exhaust workbenches. However, most researchers are disadvantaged in using existing safety equipment. This is because existing safety equipment can not take into account all of the unique characteristics of the research. For this reason, researchers are demanding the development of customized safety equipment that is well suited to their research needs. process of Company C, which is facing difficult situation to respond to the customer 's delivery due to the 52 - hour work week. First, we used the stopwatch to find the difficulty process in the packaging process and show ways to improve it. Second, to improve the efficiency of line balancing in the packaging process, we integrate processes, improve work methods, and perform simple automation. As a result, the prepare loss for replacement was reduced by 1 minute from 5 minutes, resulting in a 23% increase in productivity from 112 ea./hour to 137ea./ hour per person. At this time, the LOB of the packaging process was improved from 70% to 82% by operating one more production line through one person per line, total 9 people saving.

Anomaly detection of Machine Learning such as PCA anomaly detection and CNN image classification has been focused on cross-sectional data. In this paper, two approaches has been suggested to apply ML techniques for identifying the failure time of big time series data. PCA anomaly detection to identify time rows as normal or abnormal was suggested by converting subjects identification problem to time domain. CNN image classification was suggested to identify the failure time by re-structuring of time series data, which computed the correlation matrix of one minute data and converted to tiff image format. Also, LASSO, one of feature selection methods, was applied to select the most affecting variables which could identify the failure status. For the empirical study, time series data was collected in seconds from a power generator of 214 components for 25 minutes including 20 minutes before the failure time. The failure time was predicted and detected 9 minutes 17 seconds before the failure time by PCA anomaly detection, but was not detected by the combination of LASSO and PCA because the target variable was binary variable which was assigned on the base of the failure time. CNN image classification with the train data of 10 normal status image and 5 failure status images detected just one minute before.

이 연구의 목적은 학교 현장에서 한문 독해 수업의 문제점을 해결하는 단초를 마련하고자 하는 것이다. 중학교 1학년은 정규 교육과정에서 한문을 처음 배우는 학년이다. 한자의 음과 뜻을 학습하 기에도 역부족인 학생들이 한문 독해에서 겪는 문제를 분석하여 그 해결책을 제시하고자 하였다. 먼저, 2015 개정 중학교 한문 교과서에서 한문 독해와 관련이 있는 단문, 산문 단원의 제재를 분석하였다. 그리고 교과서에 제시된 문장 풀이에 도움이 되는 한자 정보를 입력하여 자료를 작성하였다. 이렇게 작성된 수업 제재 중에서 허사와 관련된 제재를 선별하여 학습지를 제작하였고 수업에 적용 하였다. 허사의 풀이가 한문 독해 학습에 중요한 요소일 것이라고 가정하였기 때문이다. 기존의 교과서를 활용한 수업에 허사 학습지를 통하여 허사의 개념을 파악하는 수업을 첨가하였다. 형성평 가나 설문, 면담 등을 통하여 허사 학습이 단기간에 학생들의 한문 독해 능력을 향상할 수는 없지만, 한문 수업에 대한 학생들의 인식 변화에는 어느 정도 기여할 수 있음을 확인하였다. 다만, 한문 문법과 같은 한문 독해의 기초 지식 수업은 암기 위주의 수업이 되지 않도록 하여야 할 것이다.

다양한 학문기반의 토대가 되는 한문과의 중요성에 대한 논의는 이미 선행 연구들을 통해서 가치 실현이 되었다. 이러한 전제 속에 본고는 연구자 실제 강의했던 경험을 바탕으로 실제 한문과의 운영이 어떻게 존립하고 현상 유지되거나 위기에 처해 있는지 실증적으로 보여주고자 했다. 이를 종합하면 2019년도 강행된 강사법 시행령 문제와 관련하여 대학 내 현장적 운영 모습은 다음과 같이 정리될 수 있다. 첫째 현 시류에 영향을 받지 않은 것으로 판단되나 계속 그 추이를 주목해야 하는 경우, 둘째 시행령의 포섭되어 강좌 폐지로 즉결된 경우 두 가지 사례가 진단되었다. 이러한 사실의 목도는 기실 이 논의가 필요한 이유이자 배태한 연원과 관련 깊다. 이러한 전후 상황과 관련하여, 실제 학습자들의 요구 사항을 검토해 본 결과, 유념해야 할 사항을 정리하면 3가지 정도로 추릴 수 있다. 먼저, 대학 본부에서는 학생들의 의견 수렴 창구 토대를 긴밀히 구축할 필요가 있다. 둘째, 학과별 한문과가 연합하여 제각기 다른 가치 창출을 위한 밑거름 이 될 수 있도록 통합적 모색이 필요한데, 이때 다양한 채널이 필요하다. 마지막으로 비전공자를 위한 수강과목 그리고 전공생을 위해서는 난이도 평가 구별을 통해 소수로만 운영될 분반별 강좌가 시행될 수 있도록 하는 조처도 요구된다. 이 같은 필요점은 취업 혹은 실용과 직결되는 교과목이 아닌 여타 학문과나 교양과 전체로 확대될 수 있을 것이다.

재생에너지 육성을 위한 각국의 정책적 개입이 강화되는 가운데 우리나라도 2002년 발전차액지원제도(FIT)를 도입하여 재생에너지에 육성을 직접적으로 지원하였으나 2012년 의무할당제(RPS)를 도입하여 발전차액지원제도를 대체하는 정책수단의 전환이 발생 하였다. 이는 현재 우리나라에서만 발견되는 독특한 배경으로, 발전차액지원제도와 의무할당 제의 비교를 다룬 기존 논의에서 나아가 정책수단 전환의 성과에 초점을 맞춘 새로운 답이 요구된다. 이에 본 연구에서는 의무할당제 전환이 이루어진 2012년 전후 정책 효율성의 변화 를 자료포락분석(DEA)과 맘퀴스트 지수(Malmquist Index)를 사용하여 분석하였다. 그 결과 에너지원에 따라 의무할당제 전환 이후 정책효율성의 제고에 차이가 발생한 것을 알 수 있었 다. 이는 재생에너지 사업자들이 기술력 또는 가격경쟁력이 확보된 에너지원에 대해서만 자 발적으로 시장에 진입하였고, 이것이 의무할당제 전환 이후의 재생에너지 보급 성과가 특정 에너지원에 편중된 것으로 해석된다. 본 연구의 결과는 재생에너지 정책의 목표가 보급 확대와 성장동력화에 있음을 고려할 때 정책수단의 선택에 있어 기술, 시장 등을 고려한 다면적 분석이 필요하며, 이를 바탕으로 각 재생에너지원의 현황에 맞춘 다각화된 개입이 필요함을 시사한다.