• Korean Journal of Remote Sensing
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• v.36 no.5_2
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• pp.867-879
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• 2020

As the era of space technology utilization is approaching, the launch of CAS (Compact Advanced Satellite) 500-1/2 satellites is scheduled during 2021 for acquisition of high-resolution images. Accordingly, the increase of image usability and processing efficiency has been emphasized as key design concepts of the CAS 500-1/2 ground station. In this regard, "CAS 500-1/2 Image Acquisition and Utilization Technology Development" project has been carried out to develop core technologies and processing systems for CAS 500-1/2 data collecting, processing, managing and distributing. In this paper, we introduce the results of the above project. We developed an operation system to generate precision images automatically with GCP (Ground Control Point) chip DB (Database) and DEM (Digital Elevation Model) DB over the entire Korean peninsula. We also developed the system to produce ortho-rectified images indexed to 1:5,000 map grids, and hence set a foundation for ARD (Analysis Ready Data)system. In addition, we linked various application software to the operation system and systematically produce mosaic images, DSM (Digital Surface Model)/DTM (Digital Terrain Model), spatial feature thematic map, and change detection thematic map. The major contribution of the developed system and technologies includes that precision images are to be automatically generated using GCP chip DB for the first time in Korea and the various utilization product technologies incorporated into the operation system of a satellite ground station. The developed operation system has been installed on Korea Land Observation Satellite Information Center of the NGII (National Geographic Information Institute). We expect the system to contribute greatly to the center's work and provide a standard for future ground station systems of earth observation satellites.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.21-41
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• 2019

Thanks to the rapid development of information technologies, the data available on Internet have grown rapidly. In this era of big data, many studies have attempted to offer insights and express the effects of data analysis. In the tourism and hospitality industry, many firms and studies in the era of big data have paid attention to online reviews on social media because of their large influence over customers. As tourism is an information-intensive industry, the effect of these information networks on social media platforms is more remarkable compared to any other types of media. However, there are some limitations to the improvements in service quality that can be made based on opinions on social media platforms. Users on social media platforms represent their opinions as text, images, and so on. Raw data sets from these reviews are unstructured. Moreover, these data sets are too big to extract new information and hidden knowledge by human competences. To use them for business intelligence and analytics applications, proper big data techniques like Natural Language Processing and data mining techniques are needed. This study suggests an analytical approach to directly yield insights from these reviews to improve the service quality of hotels. Our proposed approach consists of topic mining to extract topics contained in the reviews and the decision tree modeling to explain the relationship between topics and ratings. Topic mining refers to a method for finding a group of words from a collection of documents that represents a document. Among several topic mining methods, we adopted the Latent Dirichlet Allocation algorithm, which is considered as the most universal algorithm. However, LDA is not enough to find insights that can improve service quality because it cannot find the relationship between topics and ratings. To overcome this limitation, we also use the Classification and Regression Tree method, which is a kind of decision tree technique. Through the CART method, we can find what topics are related to positive or negative ratings of a hotel and visualize the results. Therefore, this study aims to investigate the representation of an analytical approach for the improvement of hotel service quality from unstructured review data sets. Through experiments for four hotels in Hong Kong, we can find the strengths and weaknesses of services for each hotel and suggest improvements to aid in customer satisfaction. Especially from positive reviews, we find what these hotels should maintain for service quality. For example, compared with the other hotels, a hotel has a good location and room condition which are extracted from positive reviews for it. In contrast, we also find what they should modify in their services from negative reviews. For example, a hotel should improve room condition related to soundproof. These results mean that our approach is useful in finding some insights for the service quality of hotels. That is, from the enormous size of review data, our approach can provide practical suggestions for hotel managers to improve their service quality. In the past, studies for improving service quality relied on surveys or interviews of customers. However, these methods are often costly and time consuming and the results may be biased by biased sampling or untrustworthy answers. The proposed approach directly obtains honest feedback from customers' online reviews and draws some insights through a type of big data analysis. So it will be a more useful tool to overcome the limitations of surveys or interviews. Moreover, our approach easily obtains the service quality information of other hotels or services in the tourism industry because it needs only open online reviews and ratings as input data. Furthermore, the performance of our approach will be better if other structured and unstructured data sources are added.

• Management & Information Systems Review
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• v.39 no.2
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• pp.39-60
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• 2020

Block chain technology is one of the core elements for realizing the 4^th industrial revolution, and many efforts have been made by government and companies to provide services based on block chain technology. In this study we analyzed the benefits of block chain technology for EVMS and designed EVMS block chain platform with increased data security and work efficiency for project management data, which are important assets in monitoring progress, foreseeing future events, and managing post-completion. We did the case studies on the benefits of block chain technology and then conducted the survey study on security, reliability, and efficiency of block chain technology, targeting 18 block chain experts and project developers. And then, we interviewed EVMS system operator on the compatibility between block chain technology and EVM Systems. The result of the case studies showed that block chain technology can be applied to financial, logistic, medical, and public services to simplify the insurance claim process and to improve reliability by distributing transaction data storage and applying security·encryption features. Also, our research on the characteristics and necessity of block chain technology in EVMS revealed the improvability of security, reliability, and efficiency of management and distribution of EVMS data. Finally, we designed a network model, a block structure, and a consensus algorithm model and combined them to construct a conceptual block chain model for EVM system. This study has the following contribution. First, we reviewed that the block chain technology is suitable for application in the defense sector and proposed a conceptual model. Second, the effect that can be obtained by applying block chain technology to EVMS was derived, and the possibility of improving the existing business process was derived.

• Archives of design research
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• v.18 no.4 s.62
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• pp.53-64
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• 2005

The emergence of new communication media, digital, is something of a wonder, as well as a cultural tension. The industrial technologies that dramatically expand human abilities are being developed much faster than the speed of adaptation by humans. Without an exception, it creates new contents and form of the culture by shaking the very foundation of the notion about human beings. Korean broadcasting environment has stepped into the era of multi-media, multi-channel as the digital technology separated the media into network, cable, satellite and internet. In this digital culture, broadcasting, as a medium of information delivering and communication, has bigger influence than ever. Such changes in broadcasting environment turned the TV viewers into new consumers who participate and play the main role in active communication by choosing and using the media. This study is trying to systemize the question about the core identity of broadcasting through brand as the consumers stand in the center of broadcasting with the power to select channel. The story schema theory can be applied as a cognitive psychological tool to approach the active consumers in order to explain the cognitive processes that are related to information processing. It is a design with stories, which comes up as a case of a brand's story telling. The range of this study covers the current issue and educational programs in network TV during the period of May and August of year 2005. The cases of Korean and foreign programs were compared by the station each program is broadcasted. This study concludes that it is important to take the channel identity into the consideration in the brand strategy of each program. Especially, the leading programs of a station must not be treated as a separate program that has nothing to do with the station's identity. They must be treated to include the contents and form that builds the identity of the channel. Also, this study reconfirmed that building a brand of the anchor person can play as an important factor in the identity of the program's brand.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.19-29
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• 2006

As the security of personal information is becoming more important in mobile phones, we are starting to apply iris recognition technology to these devices. In conventional iris recognition, magnified iris images are required. For that, it has been necessary to use large magnified zoom & focus lens camera to capture images, but due to the requirement about low size and cost of mobile phones, the zoom & focus lens are difficult to be used. However, with rapid developments and multimedia convergence trends in mobile phones, more and more companies have built mega-pixel cameras into their mobile phones. These devices make it possible to capture a magnified iris image without zoom & focus lens. Although facial images are captured far away from the user using a mega-pixel camera, the captured iris region possesses sufficient pixel information for iris recognition. However, in this case, the eye region should be detected for accurate iris recognition in facial images. So, we propose a new fast iris detection method, which is appropriate for mobile phones based on corneal specular reflection. To detect specular reflection robustly, we propose the theoretical background of estimating the size and brightness of specular reflection based on eye, camera and illuminator models. In addition, we use the successive On/Off scheme of the illuminator to detect the optical/motion blurring and sunlight effect on input image. Experimental results show that total processing time(detecting iris region) is on average 65ms on a Samsung SCH-S2300 (with 150MHz ARM 9 CPU) mobile phone. The rate of correct iris detection is 99% (about indoor images) and 98.5% (about outdoor images).

• Korean journal of communication and information
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• v.17
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• pp.85-111
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• 2001

In this article, Channel 4 in Britain is the main theme since its alternative broadcasting system can shed the light to the Korean case. Korea is getting into the era of multimedia and including webcastings there are over thousands channels are available. However the infra-structure fur the broadcasting contents never seems to be matured to match its need. Instead Korean production system is rather vertically integrated into the Networks(KBS, MBC and SBS) which oligopolise the broadcasting in terms of supply. Even though 'Program Quota Regulation' has been established under the new Broadcasting Art(1999), the old habits die hard and still the independent producers have the unfair relationships with the Networks. Under this circumstance, Channel 4 can be the good example to show how well the alternative system can serve to the diversity of broadcasting and the taste of the minority. Channel 4 took almost 20 years to establish since there were enormous amount of debates about its public missions, ideal broadcasting system, whom it should serve for, etc. between all the social sectors including the independent producers. The social agreement was reached on the point that the new broadcaster should not produce but publish and it is called the 'publishing broadcaster'. In this sense, it can be managed effectively with comparatively little fund and at the same time, it can always have all different sorts of contents as well as genres very freely through 'commissioning process' or buying programs from even the most innovative producers. The 'commissioning process' is one of the key points which makes the Channel 4 so unique. The commissioning process is literally open to anybody, in particular, to the small scale producers with much innovative ideas. Channel 4 will support financially as well as with facilities and human resource to produce the program once after their program idea is accepted by the commissioning editor. Even better side of Channel 4 is about their financial success. From the beginning, the 'funding formula' helped in great deal to make the Channel 4 doing all sorts of innovative experiments. The history of 'funding formula' and its contribution are explained in the article, too. With all this effort, the article is hoped to bring discussion about the alternative broadcasting system which might help to prepare the new era of broadcasting.

• The Journal of Information Technology
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• v.1 no.2
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• pp.81-102
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• 1998

It is common description that modern society is In the era of limitless competition. In order to challenge the change of economy and its management at home and abroad, organization should be changed anew, and in this case, there accompanies conflict or trouble whether the subject of change wants it or not. Therefore, according to change, we should concern with settlement of small troubles as well as big ones, and by managing the conflict or trouble productively and originally, it should be utilized as new fatality and chance to develop something in organization. In the system organized by people, there exist various conflicts in accordance with the target and want of the system, therefore giving no freedom to each Individual member of the system, and this is an unavoidable tate in consideration of the modem society where the survival of mankind and human systems should be guaranteed. Therefore, it determines the coordinates of success of any of organizations to manage conflict or trouble well, and so, when decreasing or increasing conflicts so that the organization exerts its full influence, it is note worthy that conflict itself should be rationally and efficiently managed. In a view point of the theory of organization and its behavior, relating job satisfaction with the performance and validity of organization, the influence of individual conflict is so great on the rate of job transfer within an organization or nonattendance, even on the productivity of the organization. So, the manager to cope with conflict within an organization should devise following three plans to manage conflict for job satisfaction and conflict settlement. In conclusion, it is suggested that in order to manage conflict within an organization well, some plans to control conflict should be well utilized while giving more efforts to improving management of individual conflict, job satisfaction, validity of organization, productivity, etc and all the members of organization should remember that the Issue of conflict within an organization be recognized ad an opportunity of new development and a way to settle a trouble within an organization, and a direction of conflict management should be suggested so that new innovation ca be created.

• Archives of design research
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• v.18 no.1 s.59
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• pp.39-48
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• 2005

In the age of digital culture, TV broadcasting is exercising more influence as a information and communication medium compared to past. With the appearance of satellite broadcasting service in 2002, the broadcasting environment became a diversified field of local TV, cable TV, satellite, internet, etc. and created the time of multi-media and multi-channel. This ongoing change of broadcasting environment made the passive audience of the past, active image makers and new accepters, participants and users of communications, who know how to choose and use media as the active centerpiece, The active acceptor as the centerpiece of channel selections has become the center of the broadcasting, whereby they pick up and enjoy their favorite TV programs and came to remember the list of their favorite channels and zap them finally. In this point of spotting their favorite channels and improving the degree of recognition for the channels, the development of the noticeable brand for a particular program has made a great contribution. The aim of this study, therefore, is to recognize the factors, which are important in the habits of watching TV and to develop professional brands for TV broadcasting programs. The range of the survey for this study was home news programs and broadcasting stations abroad, which were on air from March to May in 2004. The focus of the survey was universal and professional news programs. Through this study, it was ascertained that, in the case of news, developing a brand for an anchor as well as for a professional brand of TV program could be an important element.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.35 no.3
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• pp.76-93
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• 2017

This thesis recapitulates the current status of Nujeongs(樓亭) by the Han River(漢江) from the late Joseon dynasty, and to contemplate the possible options regarding their restoration. The book Yeon-gang-jeong-sa-gi(沿江亭?記) written by Eom Gyeong-su(嚴慶遂) in 1716 was selected as an object of study. After Hanyang was selected to be the capital of Joseon, Han River was considered to be the greatest venue to visit to take some time off and enjoy the view. The nobleman of the Joseon dynasty built Nujeongs around the riverside and enjoyed boating inthe current status of Nujeongs(樓亭) Han River. Eom Gyeong-su, after traveling on a boat to personally collect information, combined such information with preexisting information to create a well-organized and thorough list of the 29 Nujeongs built by the riverbank, which can be found in his book Yeon-gang-jeong-sa-gi. It is probable that a closer look into Yeon-gang-jeong-sa-gi will reveal more information regarding the general atmosphere of the era, which focused on the history and culture of Han River, and will also enable a more thorough research involving the Han River Nujeongs. The Nujeongs listed in Yeon-gang-jeong-sa-gi were analyzed in this paper. Based on the explanations found in Yeon-gang-jeong-sa-gi, the locations of the 29 Nujeongs were checked and reconfirmed, and the origins and the meanings behind their names were analyzed. In addition, the history of the Nujeongs were recapitulated with information gained from the basis of the fact that Yeon-gang-jeong-sa-gi was written in 1716, The origin of each Nujeongs were revisited, and the history of their change and demise were analyzed. Lastly, the sceneries around each Nujeongs were analyzed based on the poetries that were written and read in the respective Nujeongs, and the general taste for the arts in the era was analyzed. Some Nujeongs remain in the form of paintings, enabling us to take a closer look at the institutions and other aspects of the era. The analysis of Yeon-gang-jeong-sa-gi by this paper has revealed the location of some Han River Nujeongs that were unknown previously. Also, the revelation of some history regarding certain Nujeongs that were unknown previously has created an opportunity for the reinterpretation of the spaces surrounding Han River, and also the opportunity for a new story. Han River has lost most of its old self due to repeated exploitation. However, there are some areas where traces of the original form remains and that may be restored, and some areas may be relocated and restored based on existing paintings. Yeon-gang-jeong-sa-gi in particular may provide us with numerous possible options to reinvigorate and restructure the riverside with a more modern interpretation, especially in relation to the Han River cruise ship, as it is a book written after traveling Han River on a boat.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.1-19
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• 2018

Since stock movements forecasting is an important issue both academically and practically, studies related to stock price prediction have been actively conducted. The stock price forecasting research is classified into structured data and unstructured data, and it is divided into technical analysis, fundamental analysis and media effect analysis in detail. In the big data era, research on stock price prediction combining big data is actively underway. Based on a large number of data, stock prediction research mainly focuses on machine learning techniques. Especially, research methods that combine the effects of media are attracting attention recently, among which researches that analyze online news and utilize online news to forecast stock prices are becoming main. Previous studies predicting stock prices through online news are mostly sentiment analysis of news, making different corpus for each company, and making a dictionary that predicts stock prices by recording responses according to the past stock price. Therefore, existing studies have examined the impact of online news on individual companies. For example, stock movements of Samsung Electronics are predicted with only online news of Samsung Electronics. In addition, a method of considering influences among highly relevant companies has also been studied recently. For example, stock movements of Samsung Electronics are predicted with news of Samsung Electronics and a highly related company like LG Electronics.These previous studies examine the effects of news of industrial sector with homogeneity on the individual company. In the previous studies, homogeneous industries are classified according to the Global Industrial Classification Standard. In other words, the existing studies were analyzed under the assumption that industries divided into Global Industrial Classification Standard have homogeneity. However, existing studies have limitations in that they do not take into account influential companies with high relevance or reflect the existence of heterogeneity within the same Global Industrial Classification Standard sectors. As a result of our examining the various sectors, it can be seen that there are sectors that show the industrial sectors are not a homogeneous group. To overcome these limitations of existing studies that do not reflect heterogeneity, our study suggests a methodology that reflects the heterogeneous effects of the industrial sector that affect the stock price by applying k-means clustering. Multiple Kernel Learning is mainly used to integrate data with various characteristics. Multiple Kernel Learning has several kernels, each of which receives and predicts different data. To incorporate effects of target firm and its relevant firms simultaneously, we used Multiple Kernel Learning. Each kernel was assigned to predict stock prices with variables of financial news of the industrial group divided by the target firm, K-means cluster analysis. In order to prove that the suggested methodology is appropriate, experiments were conducted through three years of online news and stock prices. The results of this study are as follows. (1) We confirmed that the information of the industrial sectors related to target company also contains meaningful information to predict stock movements of target company and confirmed that machine learning algorithm has better predictive power when considering the news of the relevant companies and target company's news together. (2) It is important to predict stock movements with varying number of clusters according to the level of homogeneity in the industrial sector. In other words, when stock prices are homogeneous in industrial sectors, it is important to use relational effect at the level of industry group without analyzing clusters or to use it in small number of clusters. When the stock price is heterogeneous in industry group, it is important to cluster them into groups. This study has a contribution that we testified firms classified as Global Industrial Classification Standard have heterogeneity and suggested it is necessary to define the relevance through machine learning and statistical analysis methodology rather than simply defining it in the Global Industrial Classification Standard. It has also contribution that we proved the efficiency of the prediction model reflecting heterogeneity.