• International Journal of Highway Engineering
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• v.7 no.4 s.26
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• pp.173-184
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• 2005

Pavement markings delineate driver's sight and attentions at day and night. Retroreflectivities of the pavement markings are known to be affected by some factors such as geometrical characteristics of road sections, marking materials, traffic volumes, weather, and so on. Therefore, pavement markings would have different retroreflectivities place by place. The objective of this paper is to contend that there are rises and falls of retroreflectivity of specific geometrical characteristics of road section based on observed field data. For this purpose, retroreflectivities of yellow continued lines and white skip lines were measured on the freeway sections from Hanam to Nami interchanges. And then, the sections are categorized based on road geometric or facility types. From this study, it may be concluded that there exist considerably lower retroreflectivity trends of pavement markings at sharply curved sections, climbing lane sections, ramp sections, and tunnel sections than averaged retroreflectivity trends on freeway sections. This may leads to the necessity of differential pavement marking managements.

• Industry Promotion Research
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• v.8 no.3
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• pp.9-17
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• 2023

The purpose of this study is to look for the trends and rates of change of major passenger modes such as railway, subway, domestic shipping, domestic airline, international shipping and international airline. The data used were selected from the KOSIS, "Domestic Statistics, Statistics by Subject, Transportation and Logistics". The analysis period was 22 years from 1999 to 2020, and the annual rate of change from the previous year was calculated. In descriptive statistics, international shipping and international airlines showed relatively high volatility, whereas railway and subway showed low volatility. In the rise rate analysis, international air and international shipping dropped significantly from 539% and 368% in 2019 to 85% and 20% in 2020 due to Corona. International airline and international shipping fell significantly in 2020, but we expect them to rise again as the shock of Corona disappears in the future. Therefore, it seems that we need a project to prepare for this. International air and international shipping are expected to continue their upward trend as international trade picks up again and international travel regains its momentum.

• Smart Media Journal
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• v.12 no.5
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• pp.46-57
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• 2023

As the COVID-19 pandemic and the development of IT technology have led to the gradual popularization of remote and telecommuting, cloud computing technology is advancing, and cyber attack techniques are becoming more sophisticated and advanced. In response to these trends, companies are increasingly moving away from traditional perimeter-based security and adopting Zero Trust to strengthen their security. Zero Trust, based on the core principle of doubting and not trusting everything, identifies all traffic and grants access permissions through a strict authentication process to enhance security. In this paper, we analyze the background of Zero Trust adoption and the adoption policies and trends of countries that are proactively promoting its implementation. Additionally, we propose necessary efforts from governments and organizations to strengthen corporate security and considerations for companies when applying Zero Trust.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.93-111
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• 2013

As Internet and information technology (IT) continues to develop and evolve, the issue of big data has emerged at the foreground of scholarly and industrial attention. Big data is generally defined as data that exceed the range that can be collected, stored, managed and analyzed by existing conventional information systems and it also refers to the new technologies designed to effectively extract values from such data. With the widespread dissemination of IT systems, continual efforts have been made in various fields of industry such as R&D, manufacturing, and finance to collect and analyze immense quantities of data in order to extract meaningful information and to use this information to solve various problems. Since IT has converged with various industries in many aspects, digital data are now being generated at a remarkably accelerating rate while developments in state-of-the-art technology have led to continual enhancements in system performance. The types of big data that are currently receiving the most attention include information available within companies, such as information on consumer characteristics, information on purchase records, logistics information and log information indicating the usage of products and services by consumers, as well as information accumulated outside companies, such as information on the web search traffic of online users, social network information, and patent information. Among these various types of big data, web searches performed by online users constitute one of the most effective and important sources of information for marketing purposes because consumers search for information on the internet in order to make efficient and rational choices. Recently, Google has provided public access to its information on the web search traffic of online users through a service named Google Trends. Research that uses this web search traffic information to analyze the information search behavior of online users is now receiving much attention in academia and in fields of industry. Studies using web search traffic information can be broadly classified into two fields. The first field consists of empirical demonstrations that show how web search information can be used to forecast social phenomena, the purchasing power of consumers, the outcomes of political elections, etc. The other field focuses on using web search traffic information to observe consumer behavior, identifying the attributes of a product that consumers regard as important or tracking changes on consumers' expectations, for example, but relatively less research has been completed in this field. In particular, to the extent of our knowledge, hardly any studies related to brands have yet attempted to use web search traffic information to analyze the factors that influence consumers' purchasing activities. This study aims to demonstrate that consumers' web search traffic information can be used to derive the relations among brands and the relations between an individual brand and product attributes. When consumers input their search words on the web, they may use a single keyword for the search, but they also often input multiple keywords to seek related information (this is referred to as simultaneous searching). A consumer performs a simultaneous search either to simultaneously compare two product brands to obtain information on their similarities and differences, or to acquire more in-depth information about a specific attribute in a specific brand. Web search traffic information shows that the quantity of simultaneous searches using certain keywords increases when the relation is closer in the consumer's mind and it will be possible to derive the relations between each of the keywords by collecting this relational data and subjecting it to network analysis. Accordingly, this study proposes a method of analyzing how brands are positioned by consumers and what relationships exist between product attributes and an individual brand, using simultaneous search traffic information. It also presents case studies demonstrating the actual application of this method, with a focus on tablets, belonging to innovative product groups.

• Asian Journal of Atmospheric Environment
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• v.7 no.2
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• pp.65-71
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• 2013

Japanese cedar (Cryptomeria japonica) pollinosis is the most popular pollinosis in Japan. It has been reported that Cryptomeria japonica pollen allergenic species are suspended as fine particles in the urban atmosphere. These allergenic fine particles are responsible for inducing asthma by breaking into the lower respiratory tract. It has also been found that pollinosis symptoms on the sufferers appear mainly at night-time by the results from epidemiological studies. However, the exact reason for these phenomena is not yet clarified. In this study, the diurnal and nocturnal behaviours of Cryptomeria japonica pollen grains and their allergenic species in the urban area of Saitama city of Kanto Plain were investigated. Airborne pollen grains and allergenic Cry j 1 concentrations in total suspended particulate matter (TSP) were investigated at two sampling sites, a heavy traffic road (roadside site) and at the balcony of the $10^{th}$ floor of the Building of Research and Project of Saitama University (general urban site). The latter sampling site where located about 300 m away from the roadside site was used as a general urban site unaffected by automobile traffic. The airborne pollen counts were measured with a real-time pollen monitor. Cry j 1 particles were collected with two high volume air samplers, and these concentrations were measured by surface plasmon resonance method with a Biacore J system. The diurnal variation of the airborne pollen counts was similar to the trends of temperature and wind speed during the day-time; whereas its tendency with wind speed trend was not observed during the night-time. Airborne pollen counts were lower with northern wind than with southern wind because the pollen comes from the mountainous areas, and the mountains in the south are closer, about half the distance to the northern mountains. It is suggested that the peaks of airborne pollen counts during night-time in the sampling site occurred by transport of pollen grains released during day-time in the mountainous forest areas, located c.a. 100 km away from the sampling site. On the roadside site the allergenic Cry j 1 concentrations were higher than at the general urban site, nevertheless pollen grains counts were lower. These results suggested that worsening of pollinosis symptoms during night-time in urban area was caused by transport of pollen grains during day-time in the mountainous forest areas. Moreover, pollen allergenic species become different morphology from pollen grain at roadside site, and the subsequent pollen grains re-suspension by automobile traffic.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.2
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• pp.110-121
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• 2016

In the decision-making, such as selection of structure, construction method, or time and scheme of maintenance, the evaluation of life-cycle cost(LCC) is of great importance. The maintenance cost occupy a large portion of the LCC of the railway track as well as the initial construction cost. Futhermore, the proportion of the maintenance cost is much higher in the ballasted track. Thus, the importance of the LCC evaluation is higher than in any other engineering structures. In this study, a LCC model that can consider various design parameters such as the type of track structure, annual traffic volume, axle load, train speed, and proportion of curve sections and engineering structures has been developed. Fundamental data for calculating costs also have been presented. Based on the model and data proposed, the trends in the variation of LCC according to the design parameters were examined and the most important design parameters in the LCC analysis of railway track were investigated. The results show that the proportion of renewal and operational costs is much higher in the ballasted track than in the concrete track, and the annual traffic volume and ballast taming period are most significant factors on the LCC of the ballasted track. On the contrary, it is revealed that the proportion of the initial construction costs in the concrete track is much higher, and the LCC of the concrete track is less sensitive to the traffic volume, train speed, and axle load.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.4
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• pp.67-78
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• 2016

Recently many countries around the world are actively promoting smart city projects to address various urban problems such as traffic congestion, housing shortage, and energy scarcity. Due to development of the Internet of Things (IoT), the development of a smart city with sustainability, convenience, and environment-friendliness was enabled through the effective control and reuse of urban resources. The purpose of this study is to analyze the technical trends of IoT and present a development plan for smart city which is one of the applications of the IoT. To this end, the news articles of the Electronic Times between 2013 and 2015were analyzed using the text mining technique and smart city development cases of other countries were investigated. The analysis results revealed the close relationships of big data, cloud, platforms, and sensors with smart city. For the successful development of a smart city, first, all the interested parties in the city must work together to create new values throughout the entire process of value chain. Second, they must utilize big data and disclose public data more actively than they are doing now. This study has made academic contribution in that it has presented a big data analysis method and stimulated follow-up studies. For the practical contribution, the results of this study provided useful data for the policy making of local governments and administrative agencies for smart city development. This study may have limitations in the incorporation of the total trends because only the news articles of the Electronic Times were selected to analyze the technical trends of the IoT.

• Informatization Policy
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• v.26 no.1
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• pp.3-24
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• 2019

This study examined the trends and issues of social media campaign studies from three aspects-campaign strategy, institutional environment regulating the social media, and political effect. Then, this study performed an empirical analysis on the case of the 20th general election in order to discuss the political effect, which has been analyzed the least. Specifically, this study empirically examined the trends of candidates' participation in the twitter campaign, the partial mobilization and voter response, and the platform effect on the election results. The study examined all of the candidates' twitter accounts and traffic and found the following results.-first, the number of participants in the twitter campaign increased significantly compared to the 19th general election, and the campaign was dominated by only two political parties that had more power to mobilize resources; second, it was clearly identified that twitter is a partisan media. where specifically, those in the mainstream of the Democratic Party mobilized much more supporters; and lastly, the twitter campaign has a positive impact on the increase in the rate of votes and chances of winning the election. Particularly, the number of followers and the duration of activities were found statistically meaningful, proving that promotion of networking and social capital is more important in election campaigns.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.229-233
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• 2013

The technologies related with information communication regions are progressing continuously. These technologies in today are converged with different industries in rapidly. Because of these properties, A number of data are made in our life. Through many devices such as smart phone, camera, game machine, tablet pc, various data types are produced and the traffic is increased. We called it Big Data. There are many efforts to create new worth creation through Big Data utilization. Therefore, we described current trends and future of Big Data in this paper.

• The Research Journal of the Costume Culture
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• v.25 no.2
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• pp.206-223
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• 2017

This study examines the role of visual merchandising (VMD) in creating effective interior displays for fashion "select shops"(shops that carry a wide selection of brands) amid the recent changes in consumption trends, with consumer needs becoming increasingly individualized and diversified. Fashion select shop interior displays can be categorized as self-service, showcase, counter, and environmental display spaces. Regarding the VMD elements that contribute to effective interior displays, we reached the following conclusions. First, in self-service displays, in order to heighten sales efficacy, display elements should be presented in such a way as to enable customers to select products with ease by themselves. Second, the mere presence of showcase displays was found to be insufficient; if, however, select shops use showcase displays to arrange products according to the flow of customer traffic, enabling the creation of a gentrified atmosphere for products, this may contribute to a differentiated image of brands, heightening perceived product value. Third, in counter displays, having a harmonious arrangement of display and presentation elements promotes sales by inspiring customer confidence. Fourth, regarding environmental displays, it is important for stores to have attractive interior designs and decorations in order to reproduce settings in which products are actually used, as this can inspire interest in products and promote customers' purchasing intention.