• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.16 no.2
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• pp.1-10
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• 2012

Objectives : Recently, for over ten years, various arterial pulse simulators have been developed for training of pulse palpation technique. In this paper, we summarized development trends of those apparatuses. Materials and methods : To search the cases of development, we mainly used China Knowledge Infrastructure (CNKI), National Discovery for Science Leaders (NDSL), Korean Traditional Knowledge Portal, Patent Search by Baidu (百度專利搜索), and some general search engines. Some domain cases introduced were collected based on personal experience. Results : It was found that there were two types of arterial pulse simulators. The first type uses fluids and pumps, while the second type uses actuators without fluid circulation parts. Conclusion : From year 2000, various arterial pulse simulators have been developed. In general, they could be classified two types. Further effort toward Maixiang (脈象) simulation and validation in field is needed.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.66-71
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• 2021

The purpose of this paper is to identify keywords related to museums, gamification, and visitors, and provide basic data that the museum market can be expanded by using gamification. That used to collect data for blogs, news, cafes, intellectuals, academic information by Naver and Daum which is Web documents in Korea, and Google Web, news, Facebook, Baidu, YouTube, and Twitter for analysis. For the data analysis period, a total of one year of data was selected from April 16, 2020 to April 16, 2021, after Corona. For data collection and analysis, the frequency and matrix of keywords were extracted through Textom, a social matrix site, and the relationship and connection centrality between keywords were analysed and visualized using the Netdraw function in the UCINET6 program. In addition, We performed CONCOR analysis to derive clusters for similar keywords. As a result, a total of 25,761 cases that analysing the keywords of museum, gamification and visitors were derived. This shows that the museum, gamification, and spectators are related to each other. Furthermore, if a system using gamification is developed for museums, the museum market can be developed.

• Journal of the Korean Society of Food Culture
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• v.38 no.4
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• pp.203-216
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• 2023

Kimchi, a centuries-old Korean fermented food, has gained global popularity due to increased interest in Korean cuisine. However, little is known about the actual status of kimchi information provided by major foreign online encyclopedias. In this study, we analyzed the content and quality of kimchi information in major foreign online encyclopedias, such as Baidu Baike, Encyclopædia Britannica, Citizendium, and Wikipedia. Our results revealed that the kimchi information provided by these encyclopedias was often inaccurate or inadequate, despite kimchi being a fundamental part of Korean cuisine. The most common inaccuracies were related to the definition and origins of kimchi and its ingredients and preparation methods. Our findings highlight the need for more accurate and reliable information about kimchi in major foreign online encyclopedias. This is particularly important in the context of promoting Korean food culture and increasing international awareness of kimchi. To achieve this, the collaborative efforts of Korean food experts and online encyclopedias are needed to ensure the accurate representation of kimchi in these resources. In conclusion, our study shows that foreign online encyclopedias often contain incomplete, inaccurate information about kimchi. This shortcoming must be addressed to promote a more accurate and comprehensive understanding of kimchi and Korean cuisine.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.6
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• pp.2463-2482
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• 2016

Cloud services are often provisioned to their customers using user-friendly web browsers with flexible and rich plug-in environments. Delay is one of the fundamental performance metrics of these web-based services. Commonly-used network measurement tools usually only measure network delay and it may be difficult to infer the web-delay performance using only network layer measurement approaches. In this paper, we propose to evaluate the application layer delay in a browser-based network measurement platform using engineered scripts. We conducted a delay measurement study using instrumented scripts in the proposed browser-based measurement platform. Our investigation included a comparison study of three browser-scripting delay measurement methods, including Java applet, JSP and Flash ActionScript. We developed a browser-based delay measurement testbed over the Internet so that different delay measurement tools could be evaluated in the same real network environment including typical Internet paths and the Baidu cloud. We also decomposed the components of the end-to-end delay process of the above measurements to reveal the difference and relationship between the network-layer delay and the application-layer delay. Our measurement results characterize the stochastic properties of the application-layer delay over real Internet paths, and how these properties vary from the underlying network layer delay. This browser-scripting measurement approach can be easily deployed on different cloud service platforms to inspect their application-layer delay performance between end clients and the cloud platforms. Our measurement results may provide insights into designing new cloud services with enhanced quality-of-experience perceived by cloud users.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.9
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• pp.973-978
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• 2015

The drone delivery service as a new important business is emerging worldwide. American DHL parcel service is already running the delivery business using drones, and the Google, Amazon, and china's Alibaba, Baidu are also preparing for the same business. However, there are some problems in security and safety since the heavy parcels flies over the people walking down streets, so many things must be considered. The problems can be solved by communicating among drones to avoid collision. Therefore, the efficient network performance is essential, and to resolve the problem, in this paper, an efficient routing protocol is suggested by the Opnet simulator. The drone intercommunication network of MANET is designed and simulated for the efficient routing protocol.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.15-24
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• 2019

The development of "New Retailing" is still in its infancy. Theoretical research has just begun, showing the characteristics of practice leading theoretical research, that is, there is more practical exploration but relatively insufficient theoretical research. At present, the theoretical research and practice development of "New Retailing" is gradually clear. The future development trend is large-scale, no boundaries, and wisdom. The academic community should further study in depth with theory and practice, focusing on the deep integration of online and offline, the new logistics under "New Retailing", and the research direction of "New Retailing" driving supply chain transformation and reconstruction so as to better guide the development of "New Retailing". The purpose of the research is to sort out the research status and theoretical situation of "new retailing", so as to provide references for further research on "new retail" and guidance for practical development.

• Journal of Platform Technology
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• v.12 no.1
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• pp.12-31
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• 2024

Today, many countries around the world recognize the development of autonomous vehicles as a national growth engine, support technology development through various projects, and promote it as national policy. China and Korea are representative countries that are strongly promoting autonomous vehicle policies. The Chinese government's policy direction for self-driving cars focuses on support for fostering new industries. Korea has established mid- to long-term goals and plans to foster the future mobility industry as a key growth engine and is promoting these as a national task. Recently, China and Korea have established national pilot areas to test autonomous vehicle operation and are actively pursuing policies. We aim to compare and analyze the operation status of self-driving cars in China's Xiong'an New Area and South Korea's Sejong City and derive policy implications regarding self-driving cars, which are emerging as a key industry of the future. According to the analysis results, it was found that China's Xiong'an New District is ahead of Korea's Sejong City in terms of leader leadership. As a result, autonomous driving is being operated at the government-wide and national level in Xiong'an New Area. In terms of the driving force, in the case of Xiongan New Area, the policy is being promoted by companies centered on Baidu, and in the case of Sejong City, the policy is being promoted by the local government. As a result, it is estimated that Xiongan New Area will be able to reach commercialization before Sejong City. In the final policy proposal, it was proposed to break away from the existing government-led method and switch to a collaboration with the private sector and a private-led method.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.1
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• pp.7-15
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• 2014

Image retrieval has become a huge part of computer vision and data mining. Although commercial image retrieval systems such as Google show great performances, the improvement on the performances are constantly on demand because of the rapid growth of data on web space. To satisfy the demand, many re-ranking methods, which enhance the performances by reordering retrieved results with independent algorithms, has been proposed. Conventional re-ranking algorithms are based on the assumption that visual patterns are not used on initial image retrieval stage. However, image search engines in present have begun to use the visual and the assumption is required to be reconsidered. Also, though it is possible to suspect that integration of multiple retrieval systems can improve the overall performance, the research on the topic has not been done sufficiently. In this paper, we made the condition that other manner than cooperation cannot improve the ranking result. We evaluate the algorithm on toy model and show that propose module can improve the retrieval results.

• Korean Journal of Acupuncture
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• v.27 no.3
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• pp.129-142
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• 2010

Background : The Bonghan theory is a hypothesis on the anatomical structure of the acupuncture point and meridian system. It has been regarded as a misunderstanding of the lymphatic system, or as a made-up story, for the past 40 years. Since 2002, Many studies have been published either to support the theory or to refute the old viewpoint. Objective : The purpose of this study was to find out the validity of the refutation by reviewing the publications. Methods : Searches were made from online databases (Riss4u.net, Google.com, Sciencedirect.com, Pubmed.com, baidu.com, and ci.nii.ac.jp) from 1960 to 2009. The search terms that were used were "Bonghan," "Bong han," "봉한," "thread-like structure," "KИM БOH XaHOM", "CИCTEMA KEHPAK," "鳳漢," "鳳漢管," and "鳳漢学說." References from the searched publications were also used. Results : Since the 1960s, 107 publications were identified as related works, but only 11 publications sought to refute the Bonghan theory. Two publications were researches, and nine were reviews. In the analysis of the correlation of the arguments with the publication contents, it was found that the research of G. Kellner reviewed the Bonghan system properly but that V. V. Kosmatov did not classify the ear-reflex zone as a traditional acupuncture point. For the review publications, only two reviews contained proper arguments, but seven publications were identified as broad interpretations, wrong translations, etc. Moreover, the two proper reviews were grounded on the research of G. Kellner. Conclusions : We found that the scientific origin of the refutation of the Bonghan theory is only one research by G. Kellner. This result suggest that Bonghan theory was not discussed enough to determine the invention.