This study explored the effect of writing activity on EFL participants’ speaking performance. In order to attain this purpose, three research questions were presented; 1) What are the characteristics of learners’ writing? 2) How does their speaking fluency change during the writing sessions?, and 3) What is the effect of writing practice on learners’ speaking fluency, in terms of features of spoken grammar? Four college students participated in this study. Pre- and post-oral proficiency test scores, the participants’ writing products, and recorded data of their speaking performance were used for data analysis. Results of data analysis showed that, first, the more proficient participants were, the fewer the errors they made in their writing. Second, there was an increase in scores of intermediate- and beginning-level of students between the pre- and post- oral tests while the scores of advanced level of students did not show any differences between those two tests. Lastly, the result shows that the learners with higher proficiency in writing ability have higher recognition to the spoken grammar. Pedagogical implications are also made on the effective teaching of English writing and speaking in the Korean classroom setting.

Google Trends is a useful tool not only for setting search periods, but also for providing search volume to specific countries, regions, and cities. Extant research showed that the big data from Google Trends could be used for an on-line market analysis of opinion sensitive products instead of an on-site survey. This study investigated the market share of tumor necrosis factor-alpha (TNF-α) inhibitor, which is in a great demand pharmaceutical product, based on big data analysis provided by Google Trends. In this case study, the consumer interest data from Google Trends were compared to the actual product sales of Top 3 TNF-α inhibitors (Enbrel, Remicade, and Humira). A correlation analysis and relative gap were analyzed by statistical analysis between sales-based market share and interest-based market share. Besides, in the country-specific analysis, three major countries (USA, Germany, and France) were selected for market share analysis for Top 3 TNF-α inhibitors. As a result, significant correlation and similarity were identified by data analysis. In the case of Remicade’s biosimilars, the consumer interest in two biosimilar products (Inflectra and Renflexis) increased after the FDA approval. The analytical data showed that Google Trends is a powerful tool for market share estimation for biosimilars. This study is the first investigation in market share analysis for pharmaceutical products using Google Trends big data, and it shows that global and regional market share analysis and estimation are applicable for the interest-sensitive products.

We examined the role of L1 writing on L2 writing performance by repeating the same topic twice through L1 writing first and L2 writing later. We designed what we call a ‘L1 + L2 writing task’ and a ‘L2-only writing task’ respectively. In the L1 + L2 writing task, students wrote a text in their L1, and wrote the same topic in L2, by removing the initial L1 essay. We focused on validating which task conditions (± L1 writing) account for the variation in linguistic performance in EFL high-school students’ writing. Our study was conducted with two intact classes (n = 60) assigned to the L2-only, and students from the other two classes (n = 60) assigned to the L1 + L2. The findings indicate that L1 writing may push students to direct their attentional resources toward effective text construction, thereby mitigating a large number of simultaneous demands on attention. We add to empirical knowledge on the effects of L1 writing in task repetition, by exploring how task repetition affected our students’ L2 writing performance.

There are several methods of peak-shaving, which reduces grid power demand, electricity bought from electricity utility, through lowering “demand spike” during On-Peak period. An optimization method using linear programming is proposed, which can be used to perform peak-shaving of grid power demand for grid-connected PV+ system. Proposed peak shaving method is based on the forecast data for electricity load and photovoltaic power generation. Results from proposed method are compared with those from On-Off and Real Time methods which do not need forecast data. The results also compared to those from ideal case, an optimization method which use measured data for forecast data, that is, error-free forecast data. To see the effects of forecast error 36 error scenarios are developed, which consider error types of forecast, nMAE (normalizes Mean Absolute Error) for photovoltaic power forecast and MAPE (Mean Absolute Percentage Error) for load demand forecast. And the effects of forecast error are investigated including critical error scenarios which provide worse results compared to those of other scenarios. It is shown that proposed peak shaving method are much better than On-Off and Real Time methods under almost all the scenario of forecast error. And it is also shown that the results from our method are not so bad compared to the ideal case using error-free forecast.

This article attempts to elaborate upon the notion that anyway seems to play specific discursive functions in the institutional talk, Donald Trump Speech relevant to monologues rather than any other institutional talk related to turn-sequences, taking heed of how its usage is connoted in disparate settings of his monologic speeches. Drawing upon the observation pertaining to the monologic speeches of anyway in spoken language, it was shown that the use of anyway indicates the four certain discursive functions including resumptive, transitive, incremental, and strengthening markers in order to acquire his vested rights, or receive his votes, and maintain his favorable reputation. As for the heterogeneous nature of anyway between monologues and turn-sequences, it may be presumed that monologic anyway does not tend to function to close or alter ongoing narratives or themes, whereas its anyway may be utilized to indicate that interlocutors have the intention of increasing supplementary information or thoughts and highlighting absolute contentions; in addition, this may be related to a contemptuous function.

Many countries around the world are pursuing various support policies to foster start-ups national widely in order to secure new economic growth engines in the era of the Fourth Industrial Revolution. The South Korean government announced the diffusion strategy for the 2’nd round Start-up Boom in March 2019 and is promoting the support policies for start-up incubating by various programs. Many incubators and startup accelerators operate various kinds of programs to foster start-ups using government financial supports. The purpose of this study is to investigate the effects of entrepreneurship and technical capability of entrepreneurs as the internal factors of the technology-based start-ups and the effects of programs supported by the government as an external factor on the corporate performance of a start-up company, and the mediating effects of core competence of start-ups were analyzed using SPSS and AMOS. The results show that the entrepreneurship, technical capability and the programs supported by incubators or accelerators had no direct effects on the corporate performance of a start-up, but the core competence of the company had complete mediating effects. In addition, the type of program supported by the comprehensive accelerator programs or the marketing supports had effects on the core competence rather than simple financial supports. Lastly, the policy proposals for incubating program support and future research directions along with the limitation are suggested.

This is a longitudinal case study using a mixed-methods research design to track how two Korean university students improved their English writing competence over one year with the aid of automated writing evaluation (AWE) program, Criterion. The participants wrote essays outside of class every month for one year, submitting first and later second drafts. The participants completed a TOEIC writing test at the beginning and end of the study; students’ reflections on their writing development, obtained through interviews and journal entries, were also examined. A comparison of scores, errors, and quantitative measures of fluency and grammatical complexity indicated writing improvement. Both participants used Criterion feedback effectively to render informed judgments and valid corrections. Essay revision based on Criterion feedback yielded more self-directed learning and greater comfort with writing in content courses. It is suggested that the effect of AWE feedback transfers to long-term improvement. The results point to the potential benefit of AWE use in individual out-of-class writing practices.

Systems such as database and socal network systems have been broadly used, and their unexpected failure, with great losses and sometimes a social confusion, has received attention in recent years. Therefore, it is an important issue to find optimal maintenance plans for such kind of systems from the points of system reliability and maintaining cost. However, it is difficult to maintain a system during its working cycle, since stopping works might incur users some troubles. From the above viewpoint, this paper discusses minimal repair maintenance policy with periodic replacement, while considering the random working cycles. The random working cycle and periodic replacement policies with minimal repair has been discussed in traditional literatures by usually analyzing cases for the nonstopping works. However, maintenance can be more conveniently done at discrete time and even during the working cycle in real applications. So, we propose that periodic replacement is planned at discrete times while considering the random working cycle, and moreover provide a model in which system, with a minimal repair at failures between replacements, is replaced at the minimum of discrete times KT and random cycles Y. The average cost rate model is used to determine the optimal number of periodic replacement.

Vegetation segmentation in a field color image is a process of distinguishing vegetation objects of interests like crops and weeds from a background of soil and/or other residues. The performance of the process is crucial in automatic precision agriculture which includes weed control and crop status monitoring. To facilitate the segmentation, color indices have predominantly been used to transform the color image into its gray-scale image. A thresholding technique like the Otsu method is then applied to distinguish vegetation parts from the background. An obvious demerit of the thresholding based segmentation will be that classification of each pixel into vegetation or background is carried out solely by using the color feature of the pixel itself without taking into account color features of its neighboring pixels. This paper presents a new pixel-based segmentation method which employs a multi-layer perceptron neural network to classify the gray-scale image into vegetation and nonvegetation pixels. The input data of the neural network for each pixel are 2-dimensional gray-level values surrounding the pixel. To generate a gray-scale image from a raw RGB color image, a well-known color index called Excess Green minus Excess Red Index was used. Experimental results using 80 field images of 4 vegetation species demonstrate the superiority of the neural network to existing threshold-based segmentation methods in terms of accuracy, precision, recall, and harmonic mean.

All machines deteriorate in performance over time. The phenomenon that causes such performance degradation is called deterioration. Due to the deterioration, the process mean of the machine shifts, process variance increases due to the expansion of separate interval, and the failure rate of the machine increases. The maintenance model is a matter of determining the timing of preventive maintenance that minimizes the total cost per wear between the relation to the increasing production cost and the decreasing maintenance cost. The essential requirement of this model is that the preventive maintenance cost is less than the failure maintenance cost. In the process mean shift model, determining the resetting timing due to increasing production costs is the same as the maintenance model. In determining the timing of machine adjustments, there are two differences between the models. First, the process mean shift model excludes failure from the model. This model is limited to the period during the operation of the machine. Second, in the maintenance model, the production cost is set as a general function of the operating time. But in the process mean shift model, the production cost is set as a probability functions associated with the product. In the production system, the maintenance cost of the equipment and the production cost due to the non-confirming items and the quality loss cost are always occurring simultaneously. So it is reasonable that the failure and process mean shift should be dealt with at the same time in determining the maintenance time. This study proposes a model that integrates both of them. In order to reflect the actual production system more accurately, this integrated model includes the items of process variance function and the loss function according to wear level.

예이츠를 단순히 반기독교를 주장한 시인이라고 보기는 어렵다. 그동안 예이츠를 주로 불교, 힌두교, 동양사상 등의 관점으로 살펴보았지만 이 연구는 예이츠 의 기독교(성)에 중심을 두고 연구했다. 본 연구를 통하여 예이츠를 단순히 기독교와 는 대립 되는 시인으로 단정한다면 모순이 될 수 있음을 알 수 있었다. 그의 몇몇 작품에서는 예이츠가 기독교 『성경』의 내용을 차용했음을 알 수 있다.

The South Korean government is actively assisting the supply of the smart factory solutions to SMEs (Small & Medium-sized Enterprises) according to its manufacturing innovation 3.0 policy for the smart manufacturing as the 4th industrial revolution era unfolds. This study analyzed the impacts of the smart factory solutions, which have been supplied by the government, on the companies performances. The effects of the level of smart factory and the operation capabilities for the smart factory solutions on company performances, and the mediating effects of manufacturing capabilities have been analyzed using SPSS and AMOS. The data for this survey-based study were collected from the SMEs which implemented the smart factory solutions since 2015. The results show that the level of smart factory solutions adopted and operation capabilities for the smart factories do not have direct effects on the company performances, but their mediating effects on the manufacturing capabilities matter and the manufacturing capabilities effect directly on the company performances. In addition significant factors boosting the operation capability for the smart factory and the levels of the smart factory solutions are identified. Finally, the policy direction for enhancing the smart factory effects is presented, and the future research directions along with the limitations are suggested.

본고는 인간의 운명으로서 존재의 소멸에 관한 폴 비릴리오의 관점에 따라 존재의 소멸의 의미를 예이츠의 시작품에 적용한다. 「가이어」 에서 생성의 소멸의 과정을 살펴보았으며, 화자는 일시적인 만물 혹은 가치의 유전을 원치 않고 비극적 환희의 이중구속의 상황 속에서 지상에서의 영원한 소멸을 동경한다. 또 「1919 」에서 화자는 소멸의 운명에 대해 불평하지만, 사물이 소멸하지 않으면 그것도 재앙이 될 것이 다. 그럼에도 니체의 후예들은 소멸의 운명에 저항하며 영겁회귀를 꿈꾼다. 「벤 벌번 아래서」에서, 성 시스틴 성당의 벽화는 성스러운 아우라가 넘치지만 실상 반신 반수의 속물적인 인간의 작품이기에 신성의 소멸의 사례로 볼 수 있다. 이에 미켈란젤로가 추구하는 것은 [세속의 완전성]을 추구한 것이다. 결론적으로, 그렇다면 소멸의 운명을 맞이하는 인간의 대안은 무엇인가? 그것은 인간이 시간의 보편성 혹은 통시성에 함몰 되지 말고 매순간 시간의 동시성 혹은 공시성을 향유하는 것이다.

Recently the concentration of fine dust and ultra fine dust becomes so bad, which seriously threatens the health and even the life of people. So, government started to investigate several ways to reduce the amount of fine dust and ultra fine dust. From a few years ago it has been known that ships anchored at port emit a lot of pollution and seriously affect air quality of neighboring cities. To reduce the pollution emitted by ship AMP (Alternative Maritime Power Supply) has been proposed, which uses the electricity instead of bunker C oil or diesel. Many developed countries already installed AMP to improve air quality in port area. Korea is in the stage of planning to install AMP at port. However, there are many complicated problems to be handled before AMP installation. Due to huge initial cost and long period of construction ship owner and habour operating company are reluctant to AMP installation. And there are serious technological difficulties in constructing AMP in existing harbour. Lack of AMP core technology and operational difficulties of AMP are also big challenges to be conquered. In this study SWOT/AHP method is used to find strategic and efficient ways to handle above complicated challenges and then to vitalize the AMP installation.

This study sought to investigate factors affecting the English writing performance of 30 Korean ESL students overseas. Also, examined were the relationship between L1 and L2 education levels and L2 writing performance, the relationship between English language proficiency and L2 writing performance and between length of residence and L2 writing performance. The participants were asked to write essays in their L1 and L2 along with a questionnaire. To analyze the data, two-way ANOVA and correlation were performed. The results showed there was no significant relation between L1 educational level and L2 writing performance, but there was a significant relation between L2 educational level and L2 writing performance. Also, English language proficiency and L2 writing performance were highly correlated. The length of residence of the participants in the U.S. and their L2 writing performance showed a weak correlation. Similarly, their L1 writing performance was not related to their L2 writing performance. These imply that students need to have adequate proficiency of English to write in their L2, and they need to receive a considerate number of years of formal education in their L2 for the success of L2 writing.

This paper considers the Prisoner’s Dilemma Game in which there exists a dilemma that the best response is that both players are to confess, but doing not confess can give a higher gain to the both players in a social perspective. To resolve such a dilemma in the game, an incentive model to encourage to confess and a penalty model for being imposed when not confessing are introduced, respectively. Then, the conditions are characterized under which incentive or penalty involved in the game’s payoffs can make the game rational without a dilemma on both the personal and social perspectives, by taking the payoff values as variables with the incentive and penalty factors. Furthermore, it turns out that the resulting values of incentive and penalty are inversely proportional to each other, and thus, obtaining one of these amounts can provide the other. Simple examples are shown to interpret the theoretical verifications of our models, and randomly generated data based simulation results investigate the tendency of incentive and penalty and the resulting game values for a variety of instances. These results can provide a framework on resolving the dilemma by artificially putting incentive or penalty, although it is careful to apply more generalized real world games.

Automobiles are largely divided into passenger cars with less than five passengers and commercial vehicles such as construction machines, trucks, mixers, special lorries, and large buses. Automobile maintenance companies are also divided into passenger cars and commercial vehicles. Because commercial vehicles are the livelihood vehicles of individual carriers engaged in cargo transportation, passenger transportation, and construction, fast and accurate maintenance is important. Access to the expressway is also important because the car is large and uses highways. In addition, the time required for troubleshooting is long, so sufficient space must be secured for parking the vehicle, and ease of entry and exit of the vehicle in the maintenance shop should be fully considered. For this reason, commercial vehicle maintenance companies have higher initial investment costs than car maintenance companies, and it is difficult to supply and maintain maintenance personnel. Therefore, it is necessary to carefully examine and analyze various related factors for successful commercial vehicle maintenance company selection. However, most existing commercial vehicle maintenance companies often choose their location based on the empirical judgment of the founder, the customs and the case, without a clear analysis. In this study, we show how to derive the location selection factors to be considered when establishing professional maintenance company for commercial vehicles and to select the optimal location by using AHP (Analytic Hierarchy Process) method.

The customer of massage chair is expanding day by day from middle age to all ages. In 2018, the market size was 700 billion KRW, an increase of 30 times over 10 years. However, most related SMEs suffer from excessive competition by the market monopoly of some major companies. In this situation, in order for a related company to survive, it is necessary to steadily research and develop new products. Founded in 2009, company L produces massage chairs for health and relaxation of customers. L’s products use a sound wave vibration module that is favorable for human body, unlike other products that use vibration motor type. However, frequent breakdowns of massage chair due to the vulnerability of plate (leaf) springs, which play an important role in sound wave vibration modules, made sap its competitiveness. In this paper, we propose a method to design desirable plate spring structure by sequentially experimenting with five different plate springs. The results of this study are expected to contribute to improve the quality of plate spring and the reliability of sound wave vibration module. In the future, it is necessary to find a way to use it in the development of foot massage or scalp management device as well as continuous research to find optimal plate spring structure through various analysis.