• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.117-130
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• 2012

Due to the development of network and device, it is called mobile age that boosts various distribution routes of multi-media content and it constructs a new digital content consumption trend. N-screen is one of the new-introduced examples in the digital age and broadcasting industry believes it as a crisis and challenge as well. It becomes a ubiquitous multi-media environment that people watch multi-media content everywhere and any time they want to and competition happens beyond the boundaries such as network industry, terminal industry, pay TV market, traditional terrestrial TV, etc. And then how should the broadcasting service prepare for the N-screen business? The present research proposes a few terrestial broadcasting content strategies in the multi platform environment. First, instead of N-screen, it proposes multi platform, especially One Source Multi Platform(OSMP). Second, so-called 'Integrated Terrestrial Broadcasting OSMP Alliance(IBPA)' must be founded. Third, IBPA should support multi-tasking UX for viewers to have rich experience. Last, it becomes more important and necessary to support local terrestrial broadcasting service for public service in the multi platform age.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.113-126
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• 2017

This study aimed to quantitatively analyze the trends in environmental research that utilize environmental geospatial information through text mining, one of the big data analysis technologies. The analysis was conducted on a total of 869 papers published in the Republic of Korea, which were collected from the National Digital Science Library (NDSL). On the basis of the classification scheme, the keywords extracted from the papers were recategorized into 10 environmental fields including "general environment", "climate", "air quality", and 20 environmental geospatial information fields including "satellite image", "numerical map", and "disaster". With the recategorized keywords, their frequency levels and time series changes in the collected papers were analyzed, as well as the association rules between keywords. First, the results of frequency analysis showed that "general environment"(40.85%) and "satellite image"(24.87%) had the highest frequency levels among environmental fields and environmental geospatial information fields, respectively. Second, the results of the time series analysis on environmental fields showed that the share of "climate" between 1996 and 2000 was high, but since 2001, that of "general environment" has increased. In terms of environmental geospatial information fields, the demand for "satellite image" was highest throughout the period analyzed, and its utilization share has also gradually increased. Third, a total of 80 correlation rules were generated for environmental fields and environmental geospatial information fields. Among environmental fields, "general environment" generated the highest number of correlation rules (17) with environmental geospatial information fields such as "satellite image" and "digital map".

• Information Systems Review
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• v.11 no.2
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• pp.91-111
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• 2009

Collection and use of personal information have enabled firms to improve their value propositions by offering personalization. On the other hand, they have caused widespread concerns by consumers that their privacy is invaded. Because previously distributed personal information can be integrated and utilized to offer more personalized services, those concerns may be intensified with the progress of the digital convergence environment. In this study, factors for privacy invasion and their impact on the privacy concerns are suggested. Then, an empirical study is conducted to examine some of the suggestions. From the analysis, several results are derived. First, as more personal data are collected, secrecy and autonomy concerns increase exponentially rather than steadily. Second, as targeting accuracy is improved, greater secrecy and autonomy concerns are expressed by consumers, but less seclusion concerns. Finally, monetary reward such as coupons can reduce seclusion concerns when targeting accuracy is high. Based on the results, implications for managing consumer privacy concerns are provided under digital convergence environment.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1543-1550
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• 2017

Previous research on smartphone has been focused on personal performance, accessibility, and information gaps in information system quality. In order to analyze the relationship between the use of smartphone information and personal characteristics, this study conducted a survey of 300 tourists at Jeju Airport, by using three variables of self-efficacy, 'impulsiveness and demographic variables (age, sex, education level, etc.) of smartphone use with personal characteristics. In conclusion, self-efficacy and impulsiveness seem to be positively related to the use of smartphone because it seems to be a living environment in which the desired information can be acquired within a desired time. In addition, there seems to be a difference between a mobile native environment in which online and offline boundaries are always connected and an environment in which 40 to 50 digital literacies are connected. This can be interpreted as a result of additional analysis.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.05a
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• pp.144-147
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• 2005

It is predicted that the greatest change in the 21st century arises from the digital environment that has been rapidly transforming. The convergence of computer and telecommunication technologies will be encroached into the social realm. Also the digital technology produces digitally equipped homes, and daily life will be substantially influenced by such information appliances. The main purpose of this research was to find out the recent trends of development of digital information appliances, and to explore the outlook in the forseeable future. The findings showed that a variety of digital functions in the market made users confused, and they found it difficult to use. The participants pointed out that the digital functions should be more user-friendly. Therefore, the development of digital information appliances need to consider it.

• International Journal of Advanced Culture Technology
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• v.12 no.4
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• pp.169-174
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• 2024

With the advancement of AI technology, digital signage has improved interaction with users, which has improved advertising effectiveness and user experience. AI-based interactive digital signage is a system that provides information and advertisements electronically. It has recently evolved further with the introduction of AI technology, and is improving the efficiency of marketing and information delivery by analyzing user behavior and providing customized experiences. In this paper, the touch interface of digital signage, switching of multimedia content, high visual utility, interactivity, readability at a distance, geographic and temporal flexibility, efficiency of information delivery, customized experience, and efficient content management are based on the main characteristics of the interface. A standard model for design was established. This study analyzed the main features and various effects of AI-based interactive digital signage, and the interface design standard model for digital signage proposed five standards to optimize user experience and effectively deliver messages. Ultimately, the purpose of this study is not only to efficiently transmit media content based on the interface standard model, but also to optimize the interface design to provide real-time information for users, information of interest, emergency disaster information, etc. quickly and accurately, communicate with citizens, and create a beautiful city street environment. It is used as a platform to create.

• Journal of Korean Society for Atmospheric Environment
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• v.23 no.E2
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• pp.66-73
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• 2007

The introduction of tracer gas techniques to ventilation studies in indoor environments provides valuable information that used to be unattainable from conventional testing environments. Data acquisition systems (DASs) containing analogue-to-digital (A/D) converters are usually used to function the key role that records signals to storage in digital format. In the testing process, there exist a number of components in the measuring equipment which may produce system-based inference to the monitored results. These unwanted fluctuations may cause significant error in data analysis, especially when non-linear algorithms are involved. In this study, a pre-processor is developed and applied to separate the unwanted fluctuations (noise or interference) in raw measurements and to reduce the uncertainty in the measurement. Moving average, notch filter, FIR (Finite Impulse Response) filters, and IIR (Infinite Impulse Response) filters are designed and applied to collect the desired information from the raw measurements. Tracer gas concentrations are monitored during leakage and ventilation tests in the model test room. The signal analysis functions are introduced to carry out the digital signal processing (DSP) work. Overall the FIR filters process the $CO_2$ measurement properly for ventilation rate and mean age of air calculations. It is found that, the Kaiser filter was the most applicable digital filter for pre-processing the tracer gas measurements. Although the IIR filters help to reduce the random noise in the data, they cause considerable changes to the filtered data, which is not desirable.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.1-9
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• 2010

The increasing popularity of mobile devices, such as cellular phones, smart phones, and PDAs, has fostered the need to recommend more effective information in ubiquitous environments. We propose the recommendation method for mobile contents service using contexts and prefetching in ubiquitous environment. The proposed method enables to find some relevant information to specific user's contexts and computing system contexts. The prefetching has been applied to recommend to user more effectively. Our proposed method makes more effective information recommendation. The proposed method is conceptually comprised of three main tasks. The first task is to build a prefetching zone based on user's current contexts. The second task is to extract candidate information for each user's contexts. The final task is prefetch the information considering mobile device's resource. We describe a new recommendation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.107-113
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• 2012

Cloud computing has brought changes to the IT environment. Due to the spread of LTE, users of cloud services are growing more. This which provides IT resources to meet the needs of users of cloud services are noted as a core industry. But it is not activated because of the security of personal data and the safety of the service. In order to solve this, intrusion detection system is constructed as follows. This protects individual data safely which exists in the cloud and also protects information exhaustively from malicious attack. The cause of most attack risk which exists to cloud computing can find in distributed environment. In this study, we analyzed about necessary property of network-based intrusion detection system that process and analyze large amount of data which occur in cloud computing environment. Also, we studied functions which detect and correspond attack occurred in interior of virtualization.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.19-27
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• 2011

Recent development of information technologies produces a lot of community services. Social Network Service is one of the community services on the world wide webs. In the Social Network Service, a user can register other users as friends and enjoy communication through a virtual message. Previous researches show a few social service methods using manually generated tagging. However, the manual social tagging is not widely used in many social network services. Moreover, they do not consider ubiquitous computing environment. We propose a recommendation method for social service using contexts in ubiquitous environment. Our method scores documents based on context tags and social network services. Our social scoring model is computed by both a tagging score of a document and a tagging score of a document that was tagged by a user's friends.