• Journal of Navigation and Port Research
• /
• v.40 no.5
• /
• pp.299-304
• /
• 2016

The importance of clear and effective communication at sea has been greatly emphasized due to the increase in multiculturalism on board both ocean-going and coastal vessels, and the necessity of systematic English training based on 'Knowledge, Understanding, and Proficiency' specified in STCW has also been recognized. With these growing needs in mind, the International Maritime Organization (IMO) updated the Maritime English (ME) Model Course 3.17 in 2015 by providing guidelines on language education within two separate categories, General Maritime English (GME) and Specialized Maritime English (SME). The IMO is now attempting to create a new, global framework of ME education and training, and this this new course model must first be thoroughly understood in order to explore the ways to apply the modified version into the context of current ME education in Korea and to design an updated language curriculum. Therefore, the general structural features of the new model course will be explained in this paper, and the course focus set by IMO and to be considered and/or adopted by the Republic of Korea will be closely examined. Finally, suggestions will be made on how to implement this revised model course in practice with the following focus: the development of localized curriculum for GME and SME; the provision of practical teaching guidance through relevant online and offline materials for class and self-study; and the establishment of qualification guidelines and a teaching support system for language teachers in maritime and language education.

• Journal of Korean Library and Information Science Society
• /
• v.43 no.4
• /
• pp.69-88
• /
• 2012

This research is to find a direction of development through operating status survey of public library in Busan metropolitan city. First, Normally library users visit the library to check out books or to have a private study session. Also users normally obtained information about upcoming events done in the library through using offline search methods. Second, although the usage of the website was low, however the users demanded the increase in computer numbers in the library and online database for home access. Third, the users acknowledged the importance of the public library to their local community. Library policy indicator rated high in importance to the local community(m=3.86). However the reference desk(m=2.87), checkout desk(m=2.41), computer availability(m=2.47), as well as up-to-date artifact availability(m=2.64) did not reach the average point of 3.0. Thus, revealing that the public library's management policies were not sufficient enough to satisfy the needs of the library users.

• Journal of Digital Contents Society
• /
• v.9 no.4
• /
• pp.551-560
• /
• 2008

The basic strategy of OSMU(One-source Multi-use) in digital image is a marketing that applying one source to other genres for leverage based on that cross-referencing in different genre enabled that one material(one-source) has synergy effect when reproduced to various products(multi-use) as cultural sources are available through on-line and digital format. Recently, according to the characteristics of culture industry with Window Effect, many culture contents such as movies, games, animations and characters are carefully planned at its design stage to get the maximum effect. Especially, the fact that one leading-trend source makes it easier to produce additional products with the least cost is observed and it enables organized management which resulted in low marketing and PR cost. This paper confirmed that OSMU strategy in Korea mainly get started from online to offline comparing to Japan and USA.

• Journal of Digital Convergence
• /
• v.14 no.2
• /
• pp.149-156
• /
• 2016

The purpose of this study is to estimate convergence level of digital device and service and analyze group difference of consumption behavior and problem according to digital convergence level. The research method was survey with digital business expert and 343 samples. ANOVA research method was applied. The results of research are as follows. First, the study suggests that with a self-directed consuming attitude associated with both online and offline, there are the possibility to spread social problem which has unclear boundary, the possibility of intrusion into privacy through the network flow, and the matter of the credibility of information in convergence media. Second, since digital devices are important to connect consumers to the network, consumers have anxious dependence on the devices, which causes the fatigue of information to increase rapidly.

• Journal of Environmental Health Sciences
• /
• v.44 no.6
• /
• pp.556-562
• /
• 2018

Objectives: This study was conducted to investigate the boron concentrations in 30 slime products and estimate children's dermal exposure to boron. Methods: Thirty slime products from online and offline stores were purchased for boron analysis. The boron content of each slime sample was analyzed using ICP-OES. A nationwide survey was performed to determine use patterns of slimes by a home-visit survey of 10,000 children divided into three age groups: 0-2, 3-6, and 7-12 years. The dermal exposure to boron was calculated using an exposure algorithm for child slime users. Results: The proportion of the child population using slime was 45.8%, and the mean use frequency was $2.5{\pm}3.8$ per week (range: 0.08-35). Mean time spent playing with slime was $19.6{\pm}11.3min$ (range: 1-100). Twenty-five of the thirty slimes contained a boron concentration exceeding the EU limit for toys made with sticky material of 300 mg/kg. Dermal exposure ranged from $0.0008-13.78{\mu}g/kg/day$ with the maximum weight fractions of boron in the 30 products. The dermal exposure estimate was the highest in 7-12 years old group. Conclusion: Slime use among Korean children may cause high exposure to boron. Regulation is needed to minimize boron exposure from slime products.

• The Korean Journal of Applied Statistics
• /
• v.32 no.3
• /
• pp.391-404
• /
• 2019

Customers' fixed characteristics have often been used to predict customer behavior. It has recently become possible to track customer web logs as customer activities move from offline to online. It has become possible to collect large amounts of web log data; however, the researchers only focused on organizing the log data or describing the technical characteristics. In this study, we predict the decision-making time until each customer makes the first reservation, using Airbnb customer data provided by the Kaggle website. This data set includes basic customer information such as gender, age, and web logs. We use various methodologies to find the optimal model and compare prediction errors for cases with web log data and without it. We consider six models such as Lasso, SVM, Random Forest, and XGBoost to explore the effectiveness of the web log data. As a result, we choose Random Forest as our optimal model with a misclassification rate of about 20%. In addition, we confirm that using web log data in our study doubles the prediction accuracy in predicting customer behavior compared to not using it.

• Journal of Information Technology Services
• /
• v.21 no.2
• /
• pp.61-84
• /
• 2022

With the recent application of deep learning to Natural Language Processing (NLP), the performance of NLP has improved significantly and NLP is emerging as a core competency of organizations. However, when encountering NLP use cases that are sporadically reported through various online and offline channels, it is often difficult to come up with a big picture of how to understand and interpret them or how to connect them to business. This study presents a framework for systematically analyzing NLP use cases, considering the characteristics of NLP techniques applicable to almost all industries and business functions, environmental changes in the era of the Fourth Industrial Revolution, and the effectiveness of adopting NLP reflecting all business functional areas. Through solving research questions based on the framework, the usefulness of it is validated. First, by accumulating NLP use cases and pivoting them around the business function dimension, we derive how NLP techniques are used in each business functional area. Next, by synthesizing related surveys and reports to the accumulated use cases, we draw implications for each business function and major NLP techniques. This work promotes the creation of innovative business scenarios and provides multilateral implications for the adoption of NLP by systematically viewing NLP techniques, industries, and business functional areas. The use case analysis framework proposed in this study presents a new perspective for research on new technology use cases. It also helps explore strategies that can dramatically improve organizational performance through a holistic approach that encompasses all business functional areas.

• Journal of the Korean Society of Safety
• /
• v.39 no.1
• /
• pp.55-61
• /
• 2024

In response to the COVID-19 pandemic, the logistics industry in Korea has rapidly been expanding, with offline demand concentrating on online platforms owing to the development of digital infrastructure. This has increased the workload of courier drivers considerably, along with labor intensity. A delivery driver died recently from overwork due to the continuous increase in delivery volume, which raises social concerns. Delivery drivers work long hours, (over 12 hours) and are greatly affected by weather conditions, such as snow, rain, heat waves, and cold waves. In addition, they lack a fixed workplace; perform atypical work handling workpieces of various sizes, weights, and shapes; and spend a large amount of time driving as part of their work. This work involves a high level of tension and requires attention and concentration. Despite the frequency of industrial accidents in the courier industry, studies on safety and health to quantitatively analyze and systematize the work of courier workers are very scarce. Therefore, to define the work process necessary for investigating the harmful factors in delivery service and the work analysis, this study conducted interviews and on-site surveys to analyze the unit work of the delivery service by targeting delivery workers. In other words, a framework of unit work for work analysis was presented to enable research and analysis by considering the aforementioned characteristics of the courier industry. The process was broadly divided into work, transport, storage, delay, and inspection. Work was divided into loading, sorting, unloading, and door subcategories, and transportation was divided into vehicle, cart, and walking subcategories as well as 10 small processes. Moreover, 22 unit works were again drawn by conducting field surveys and interviews. The risk of unit work derived from this study was ergonomically evaluated, and the ergonomic analysis revealed that uploading and transportation were the most dangerous. The results of this study could be used as basic data for preventing industrial accidents among courier workers, whose work has increased with the logistics volume and the development of the logistics industry.

• Journal of Distribution Science
• /
• v.14 no.11
• /
• pp.129-138
• /
• 2016

Purpose - The ICT(information and communications technologies) development is affecting consumer behaviors on selecting channel or distribution system. This study aims to advance our knowledge about the factors influencing omni-channel behaviors. This study considers the positive brand experience as the moderating variable into the relationship between omini-channel use intention and consumer brand relation. Also, the effect of positive brand experience on consumer-brand relation is researched. Research design, data, and methodology - This study conducted an empirical test with the subject as customers who purchase goods or service through on-off cross channel simultaneously. The research model is developed from prior literatures about influencing variables on channel selection. The structure of this study is designed to identify causal relationships between the variables. 268 survey data from the questionnaire survey which is conducted to target customers who use online and offline channels, is used for empirical analysis. This study validates generality with descriptive statistics and data reliability with Cronbach's alpha value. The exploratory factor analysis is used for value purification. Then, the confirmatory factor analysis is conducted for structural equation modeling. Finally, the execute structural equation modeling is analyzed to confirm the hypotheses Results - First, the two causal influences between perceived performance risk and the propensity of omni-channel and between price consciousness and the propensity of omni-channel are verified through the empirical test. Second, the result identifies that the propensity of omni-channel is influenced on consumer-brand relationship. Third, the AMOS analysis proves that the moderating variable, positive brand experience, has significant positive impact on consumer-brand relationship. This significant relationship is highly supported by the regression analysis between brand experience and propensity of omni-channel because it results that positive brand experience has positive impact on the propensity of omni-channel. All hypotheses are verified to be true. Conclusions - Based on the empirical result, this study confirms that perceived performance risk and price consciousness are the important factors influencing propensity of omni-channel. According to the additional analysis, the moderating variable and positive brand experience plays important role between the propensity of omni-channel and consumer-brand relationship. Furthermore, positive brand experience influences more on consumer-brand relationship than non-positive brand experience.

• East Asian mathematical journal
• /
• v.34 no.4
• /
• pp.371-402
• /
• 2018

The researchers set up a research question to find out how to teach the concept of a right triangle through classification activities after listening to the conversations of fellow teachers about the recently revised textbooks. First, a questionnaire was created to confirm the objectivity of the research problem, data were collected through online and offline, and interviews were conducted with some of the respondents. As a result, it confirmed that there was a considerable difference in the perception of the research study about the direction of revising the curriculum called 'student participation centered' and 'the possibility of achieving the learning objective'. Then, we analyzed the critical interpretations used in the third grade math textbook Lesson 2. 'Plane Figure' part 4 and 5. Finally, by analyzing the results of the recognition analysis and textbook analysis, we proposed two learning methods which can link the triangle classification activity and the right triangle concept. Based on the results of the research, we obtained suggestions that a teaching should be made regarding that the classification process may be changed according to the student's prior knowledge and the process of classification activities may be different according to the viewpoint and classification criteria.