• Journal of KIISE
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• v.44 no.8
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• pp.803-812
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• 2017

T-commerce is technology-fusion service on which the user can purchase using data broadcasting technology based on bi-directional digital TVs. To achieve the best revenue under a limited environment in regard to the channel number and the variety of sales goods, organizing broadcast programs to maximize the expected sales considering the selling power of each product at each time slot. For this, this paper proposes a method to predict the sales of goods when it is assigned to each time slot. The proposed method predicts the sales of product at a time slot given the week-in-year and weather of the target day. Additionally, it combines a statistical predict model applying SVD (Singular Value Decomposition) to mitigate the sparsity problem caused by the bias in sales record. In experiments on the sales data of W-shopping, a T-commerce company, the proposed method showed NMAE (Normalized Mean Absolute Error) of 0.12 between the prediction and the actual sales, which confirms the effectiveness of the proposed method. The proposed method is practically applied to the T-commerce system of W-shopping and used for broadcasting organization.

• Journal of Korea Multimedia Society
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• v.16 no.11
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• pp.1239-1249
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• 2013

According to development of weather radar, researches about observation, analysis or forecast of weather phenomena such as tornado, flash-flood etc. were encouraged by reducing frequency interferences, transmission noises, attenuations of radar signal. In contrast, there is a growing interest in the visualization and expression methods for weather radar data but weather radar manufacturers or the organs of government for weather are just busy interpreting expressed weather images projected on GIS. We propose an effective high definition weather radar information visualization method able to apply various GIS platforms to observe and take actions against rapid local weather changes effectively. In this paper, first we change information acquired from weather radar to raster or vector type high definition data structures using specific algorithms. And then, we quadrate our processed raster/vector type weather data with various GIS platforms accurately to make observers can recognize and check weather situations over exact geographical positions and elevations intuitively. Experimental results verify that our method make observers can recognize and analyze weather changes, tornados, local downpours or flash floods accurately by analyzing high definition weather radar data combined with GIS platform including detailed target locations and elevations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.613-622
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• 2015

The convergence of IT technology and marine facilities monitoring system is needed for effective monitoring systems to marine facilities. Especially the spread of smart device such as smart phone, smart pad, smart TV provide an environment that can check the status of the marine facility for marin facilities manager. However, smart phones and smart pads are used in a variety of OS used. Thus the monitoring system of the various service environments is difficult. In addition, There is inconvenience that must individually developed monitoring system for each device. In order to solve this problem NMMS (N-Screen Marine-facility Monitoring System) is proposed. NMMS is consist of Real-time monitoring system, Fault diagnosis system, Data storage system. To improve variety of smart devices accessibility, we use HTML 5. Through NMMS, marine facilities manager can use smart device such as PC, Notebook, smart phone, smart pad for marine facilities monitoring.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.12-28
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• 2017

The core of the transportation service, so-called Mobility 4.0 is the flexibility of the entire mobility and its implementation. By doing so, the most essential element is to build a platform to link a supply and a demand simultaneously. In other word, a comprehensive analytical framework is to be set with a data repository which can be periodically updated. With such circumstances, the entire trip chain including pedestrian movements is required to be thoroughly investigated and constructed at the viewpoint of the intermodal transit station. A few studies, however, have been attempted. In this study, the comprehensive analytical framework with the integrated mobility at intermodal transit station was proposed, which consisted of the three modules; 1) Data Repository Extracting from Smart Card DB, 2) Framework of Analyzing Integrated Mobility, and 3) Interpretation of the Integrated Mobility with GIS information and the other factors. A case study with the seven railway stations (Sadang, Sindorom, Samseong, Gwanghwanoon, Gangnam, Jamsil, Seoul Nat'l Univ. of Education) was conducted. The stations of the case study were clustered by the three groups with the statistical ground, and it is most likely to understand the effect of a variety of factors and a comprehensive data-driven analyses with the entire trip stages.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.134-144
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• 2011

Crossmedia Storytelling is receiving attention as a new style of description in the age of limitless competition and infinite fusion among media. Crossmedia Storytelling specifies a form of storytelling carried out through mixed usage of plural media, such as televisions, movies, and web services. It is different from OSMU strategy in that plays one source of contents according to the characteristics of various media while Crossmedia Storytelling demands users' active participation. Moreover, it is also slightly different from Transmedia Storytelling in the point that narratives of each media are not complete themselves and only through effectively combining plural media can the whole story fully enjoyed. This research aims to analyze how users move among media in terms of Crossmedia contents by examining cases of Swedish interactive drama series , from Australia, and from the United States. To do so, first, the paper looks into the principles of Crossmedia communication and examines that it is based on online word-of-mouth communication, such as viral marketing. As a result, the following was found in the cases of Crossmedia Storytelling: negative stories that arouse users' emotional reactions & users' participation are effective, and the set-up of Sneezer, which causes the knowledge gap, is very important. It was also found that users' participation was actively taking place through online WOM communication in Crossmedia Storytelling.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.111-116
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• 2020

This is a case study of corporate culture marketing to commemorate the 10th anniversary of the death of Steve Jobs on October 5, 2021. Corporate culture marketing seeks to derive cultural consumer values through Steve Jobs' fandom, and to increase corporate brand image and achieve profits. According to Big Data, Steve Jobs' brand image was derived from 'Innovation', 'First', 'Creativity', 'Change', and 'Design'. So, the relationship between Spigen convergence culture space 'SpigenHall', which is highly related to Steve Jobs' brand image, and the opera , which is made of the material of former Apple CEO Steve Jobs, is analyzed with big data and culture. We investigated the opinions of content experts. SpigenKorea and the digital opera are designed to provide Steve Jobs' story of joy and sorrow, offer VIP members' premium services, press publicity is 'the first in Korea', GangNam's suitable for famous celebrity performance venues and cultural and artistic venues 'SpigenHall', the revenue of the performance ticket was selected as a donation. This study is suitable for researching the life story of male CEOs and planning a cultural city. The limitations of the study need to analyze various works by genre and attempt to analyze consumer values according to the industry.

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.1-8
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• 2019

The purpose of this study is to analyze the actual condition of tourism complex and to apply IoT-based integrated management system to tourism complex to improve the utilization and management of tourism complex. Tourists need various information to take the lead in tourism activities, and all of these necessary information is collected through various routes such as information of the Internet, travel agencies, newspapers, and surrounding experiences. Recently, information provision through the Internet has taken a large part due to the development of information technology, and systems that combine IoT technology are being constructed. This is because the popularization of IoT technology improves the diversity, accessibility and convenience of information and makes it convenient to use. The purpose of this study is to suggest the importance of tourism information service using IoT-based system and future research directions. The previous studies on IoT-based system construction were also reviewed considering the efficiency of IoT technology. In order to solve the problems of tourism complex, this study improved the IoT-based tourism complex operation system and conducted operation management. IoT-based management system is expected to be improved as a tourism complex platform and is expected to be improved by overall management cases and experiences.

• Journal of the Korea Society of Computer and Information
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• v.19 no.3
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• pp.73-85
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• 2014

As the importance of big data analysis increases to improve the competitiveness of a corporate, a unified big data project development methodology is required in order to study the problem of a corporate in a systematic way and evaluate the problem w.r.t. a business value after solving the problem. This paper propose Scientific Data Anslysis and Development methodology(SDAD) which are integrated methodology of software development and project management for easier application into a field project. SDAD consisits of 6 stages(problem definition stage, data preparation stage, model design stage, model development stage, result extraction stage, service development state), each stages has detailed processes(47) and productions(93). SDAD, furthermore, unified previous ISP, DW, SW development methodologies in terms of the data analysis and can easily interchange the productions with them. This paper, lastly, introduces a way to assign responsible persons for each process and provide communication procedures in RACI chart to improves the efficiency of the interaction among professionals from different subjects. SDAD is applied to a Bigdata project in Korea Employment Information Services institution and the result turned out to be acceptable when evaluated by the supervision.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.24-31
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• 2020

Centralized systems in computing environments have various problems, such as privacy infringement due to hacking, and the possibility of privacy violations in case of system failure. Blockchain, one of the core technologies for the next generation of converged information, is expected to be an alternative to the existing centralized system, which has had various problems. This paper proposes a blockchain-based user authentication system that can identify users using EID in an online environment. Existing identification (ID)/password (PW) authentication methods require users to store personal information in multiple sites, and receive and use their respective IDs. However, the proposed system can be used without users signing up at various sites after the issuing of an EID. The proposed system issues an EID with a minimum of information, such as an e-mail address and a telephone number. By comparing the stability and efficiency of a centralized system, the proposed integrated authentication system proved to be excellent. In order to compare stability against existing systems, we chose attack methods and encroachments on the computing environment. To verify efficiency, the total throughput between the user's app, the issuance and certification-authority's servers, and the service provider's servers was compared and analyzed based on processing time per transaction.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.37-48
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• 2017

Recently, the importance of software education is growing because computational thinking of software education is recognized as a key means of future economic development. Also human resources who will lead the 4th industrial revolution need convergence and creativity, computational thinking based on critical thinking, communication, and collaborative learning is known to be effective in creativity education. Software education is also a time needed to reflect social issues such as collaboration with developers sharing interests and open source development methods. Github is a leading social coding site that facilitates collaborative work among developers and supports community activities in open software development. In this study, we apply operational cases of basic learning of social coding sites, learning for storage server with sources and outputs of lectures, and open collaborative learning by using Github. And we propose educational model consisted of four stages: Introduction to Github, Using Repository, Applying Social Coding, Making personal portfolio and Assessment. The proposal of this paper is very effective for software education by attracting interest and leading to pride in the student.