Reference string recognition is to extract individual reference strings from a reference section of an academic article, which consists of a sequence of reference lines. This task has been attacked by heuristic-based, clustering-based, classification-based approaches, exploiting lexical and layout characteristics of reference lines. Most classification-based methods have used sequence labeling to assign labels to either a sequence of tokens within reference lines, or a sequence of reference lines. Unlike the previous token-level sequence labeling approach, this study attempts to assign different labels to the beginning, intermediate and terminating tokens of a reference string. After that, post-processing is applied to identify reference strings by predicting their beginning and/or terminating tokens. Experimental evaluation using English and German reference string recognition datasets shows that the proposed method obtains above 94% in the macro-averaged F1.

For an efficient management of electricity market and power systems, accurate forecasts for electricity demand are essential. Since there are many factors, either known or unknown, determining the realized loads, it is difficult to forecast the demands with the past time series only. In this paper we perform a cluster analysis on electricity demand data collected from Jan. 2000 to Dec. 2017. Our purpose of clustering on electricity demand data is that each cluster is expected to consist of data whose latent variables are same or similar values. Then, if properly clustered, it is possible to develop an accurate forecasting model for each cluster separately. To validate the feasibility of this approach for building better forecasting models, we clustered data with t-SNE. To apply t-SNE to time series data effectively, we adopt the dynamic time warping as a similarity measure. From the result of experiments, we found that several clusters are well observed and each cluster can be interpreted as a mix of well-known factors such as trends, seasonality and holiday effects and other unknown factors. These findings can motivate the approaches which build forecasting models with respect to each cluster independently.

Recently, convergence engineering is emerged technology to make a whole new conceptual methodology attractively more than we previously developed the distinct technology for engineering college students particularly. Based on convergence methodology, we utilize the open-source electronic prototyping platform named Arduino enabling users to create interactive electronic objects and the automata that is generally referred to a wooden moving, mechanical device or art of work in order to develop the creative convergence education program. We have confidence that our education program can lead the development of automata and information technology simultaneously and can nurture talented students who have creativity and originality in engineering college.

As society advances and consumers' perception of food safety changes, the demand for the safety of refrigerated and distributed foods is spreading. In this paper, we build an ICT system that can collect the TTH data from the NFC tag, store it, analyze the food safety level using it. This service platform consists of the temperature monitoring NFC tag attached to individual packaged food, the smartphone with NFC sensor, and the monitoring server with a big data system. Consumers and administrators in this system can easily identify and predict the safety level of individual packaged foods in real time using the provided app on smartphones. In the field of food safety, the use of new technologies such as ICT can create new value by combining with existing food industry in addition to creating new market by new service.

In this paper, we purpose to describe the relationship and influencing factors among emotional labor, ego-resilience on organizational commitment on nurse. We employed a nonexperimental survey research design. The data included 160 nurses three hospitals in Chungchungbukdo and Kangwondo. The data were collected from 23th, August, 2016 to 15th, September using self-report, strutured questionnaires. The data were analyzed through ANOVA, t-test, Pearson correlation coefficient and multiple regression with SPSS 20.0. The results showed emotional labor, ego-resilience on organizational commitment averaged 3.80(out of 4), 2.81(out of 4), 3.86(out of 5). In terms of correlations, there was found to be a significant positive correlation between organizational commitment and ego-resilience(r=.418, p<.01) and negative correlation between organizational commitment and emotional labor(r=.309, p<.001). Age(${\beta}=.215$, p<.037), working department(${\beta}=-.209$, p<.011), emotional labor(${\beta}=.334$, p<.001), ego-resilience(${\beta}=.162$, p<.030) was largely influential in organizational commitment. The regression model explained 21.3% of organizational commitment. This study showed that organizational commitment of nurse was correlated with emotional labor and ego-resilience. On basis of these results, in order to increase organizational commitment on nurses, it is necessary to recognize the importance of emotional labor and ego-resilience, develop and adapt program reducing emotional labor, also increasing ego-resilience.

This study focuses on the legal concept of virtual money, focusing on the case of how we can change the framework of fixed thinking about our trade concept and money with the fourth industrial revolution. The legal character of the virtual money, which played a role as a means of trading in crime, could be discussed, and the court could put it in the category of " property " as a subject of confiscation. Many people are expressing empathy for the fact that there will be many traits in the future world that are difficult to predict. At this side, when the legal validity of the advantage is not recognized as the legal money yet to be recognized as the legal currency, it begins to be discussed as a necessary means of trading between individuals, businesses and individuals. Defining a legal character can be very significant in determining policy direction related to future operations of virtual money. But to date, it is very difficult to establish the legal character of virtual money through existing legislation. Therefore, as we looked at in this case, we examined whether the property was subject to the seizure of the profits from the crime. Attention was also given to the possibility of such abuse of virtual money and whether effective legal interpretation was possible for the categories of assets subject to seizure.

This study is aimed to determine types of job values which is searched by 242 university student in Gwangju, to study characteristics of each type, and to analyze key competency of each type. The data were analyed with PASW 18.0 using frequency analysis, k-mean cluster analysis, crosstabs and one-way ANOVA. According to findings, first of all, university student types of job values are divided into 4 groups; a type of intrinsic job values(27.7%), a type of active job value(32.2%), a type of external job value(12.4%), a type of passive job value(27.7%). Secondly, the type of job values showed statistically significant difference only in the monthly allowance of socio-economic variables. Thirdly, the type of job values showed statistically significant difference 'communication', 'mathematics', 'problem solving', 'self development', 'resource management', 'interpersonal skills', 'technical ability', 'understanding organizations' and 'work ethics'.

In this paper, we designed a system that integrate and organize customer management programs and databases, which are performed independently of each other. And we designed the system so that it can be used for future marketing by implementing the system to share and efficiently utilize mutual independent maintenance information. From the CRM perspective, a comprehensive information system ghat manages every information on both new cars and second hand cares grom their purchase, to parts, to insurance, and to scraping needs to be established. The following should be applied in the establishment of the IAMS. Auto makers or auto maintenance services providers exclusive management of information on customers and their car maintenance services is aggravating the customer's inconvenience and complaints. In addition, the service provider has difficulty providing consistent maintenance services because it has little information about previous auto maintenance services the customer received. Besides, the customers who have no information on costs of parts and labor tend to hesitate to trust the costs of maintenance services. This study to provide customers with systematic maintenance service and causing them some inconvenience. Therefore, in order to maintain existing customers, auto maintenance service providers should provide services the customers wanted on the basis of accurate information about them.

This study analyzes college dropout cases to reduce its rate. The analysis is preferentially carried out by figuring out our current situation of college dropout rate in pertinent cases and all around country's. Based on the current states, statistical analysis is accomplished as follows; analyzing the characteristic differences between the being in school's and the dropouts' by T-Test, determining the influence factor by logistic regression analysis and drawing the target group for special treatments through these statistical analysis. To reduce dropout rate, several measures could be adopted; focused counseling for each target group, special monitoring for students on leave of absence and opening major subjects for improving relationship between students and professors. The measures suggested by the analysis through this study are expected to lower the dropout rates effectively in college or specific fields including engineering science.

Recently, Flipped Learning is attracting attention as a method for qualitative growth of university education. Flipped Learning is a kind of computer based education and consisted of online video lectures and offline student activities. This paper introduces the results of applying Flipped Learning for one semester to Korean linguistic norms course. As for this course, the contents related to the knowledge and information were provided individually before the class through online video, and the offline classes focused on student-led activities. When qualitatively evaluating the results of the course, students developed a more comprehensive and flexible mind set beyond the preexisting normative attitudes and showed increase in analytical and critical thinking in understanding the principles of linguistic norms and spelling system. According to these results we argue that it is necessary to actively adopt Flipped Learning in the humanities education, including the grammar classes.