• The Journal of the Acoustical Society of Korea
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• v.14 no.1
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• pp.90-107
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• 1995

In this paper, we propose the time relation model among the media with the concept of time and space on hypermedia system. This model classifies time proceeding relations in the node and among media connected with the link which is extended to internal link (while a current node remains, a destination node of internal link proceeds) and external link(a current node is replaced by a destination node of external link). Using this model, hypermedia system for hypermedia presentation is designed and implemented. This hypermedia system provides editing tools and controllers to created and edit nodes with time relation information, link tool to construct associative relations among nodes and navigation tool to control context flows.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.155-166
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• 2018

These days, online media, such as blogospheres, online communities, and social networking sites, provides the uncountable user-generated content (UGC) to discover market intelligence and business insight with. The business has been interested in consumers, and constantly requires the approach to identify consumers' opinions and competitive advantage in the competing market. Analyzing consumers' opinion about oneself and rivals can help decision makers to gain in-depth and fine-grained understanding on the human and social behavioral dynamics underlying the competition. In order to accomplish the comparison study for rival products and companies, we attempted to do competitive analysis using text mining with online UGC for two popular and competing ramens, a market leader and a market follower, in the Korean instant noodle market. Furthermore, to overcome the lack of the Korean sentiment lexicon, we developed the domain specific sentiment dictionary of Korean texts. We gathered 19,386 pieces of blogs and forum messages, developed the Korean sentiment dictionary, and defined the taxonomy for categorization. In the context of our study, we employed sentiment analysis to present consumers' opinion and statistical analysis to demonstrate the differences between the competitors. Our results show that the sentiment portrayed by the text mining clearly differentiate the two rival noodles and convincingly confirm that one is a market leader and the other is a follower. In this regard, we expect this comparison can help business decision makers to understand rich in-depth competitive intelligence hidden in the social media.

• Smart Media Journal
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• v.4 no.1
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• pp.39-43
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• 2015

A vehicle black box helps to investigate the cause of accident by recording time, and videos as wells as shock information of the time of accident Lately, intelligent black box with accident prevention as well as existing functions is being studied. This paper proposes an applicable algorithm for vehicle black boxes that prevent any accident likely to occur while a car is parked, like robbery, theft or hit-and-run. Proposed algorithm provides object recognition, face detection and alarm as the object approaches car. Tests on the algorithm prove that it can recognize an approaching object, identify and set alarm if needed, depending on each risk level.

• Smart Media Journal
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• v.4 no.1
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• pp.25-32
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• 2015

Powering wireless sensors with energy harvested from the environment is coming of age due to the increasing power densities of both storage and harvesting devices and the electronics performing energy efficient energy conversion. In order to maximize the functionality of the wireless sensor network, minimize missing packets, minimize latency and prevent the waste of energy, problems like congestion and inefficient energy usage must be addressed. Many sleep-awake protocols and efficient message priority techniques have been developed to properly manage the energy of the nodes and to minimize congestion. For a WSN that is operating in a strictly energy constrained environment, an energy-efficient transmission strategy is necessary. In this paper, we present a novel transmission priority decision scheme for a heterogeneous body sensor network composed of normal nodes and an energy harvesting node that acts as a cluster head. The energy harvesting node's decision whether or not to clear a normal node for sending is based on a set of metrics which includes the energy harvesting node's remaining energy, the total harvested energy, the type of message in a normal node's queue and finally, the implementation context of the wireless sensor network.

• Smart Media Journal
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• v.1 no.4
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• pp.59-71
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• 2012

Since mobile phones are used as common communication devices, their applications are increasingly important to human's life. Using smart-phones camera to collect daily life environment's information is one of targets for many applications such as text recognition, object recognition or context awareness. Studies have been conducted to provide important information through the recognition of texts, which are artificially or naturally included in images and movies acquired from mobile phones. In this study, a character segmentation method that improves character-recognition accuracy in images obtained from mobile phone cameras is proposed. The proposed method first classifies texts in a given image to printed letters and handwritten letters since segmentation approaches for them are different. For printed letters, rough segmentation process is conducted, then the segmented regions are integrated, deleted, and re-segmented. Segmentation for the handwritten letters is performed after skews are corrected and the characters are classified by integrating them. The experimental result shows our method achieves a successful performance for both printed and handwritten letters as 95.9% and 84.7%, respectively.

• The Research Journal of the Costume Culture
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• v.27 no.6
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• pp.582-598
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• 2019

Intermedia is a term that refers to the convergence of different media. It has not only enabled the delivery of brand message but also developed interactive communication in a contemporary fashion show context. This study investigates the presentation methods of contemporary fashion shows affected by intermedia. We examined the research and theory related to intermedia and fashion shows by accessing articles since the 2000s concerning 252 shows by 30 designers that tended to demonstrate the use of intermedia. Our analysis highlighted four particular characteristics: "medium scalability" (the unity of art and fashion and the unity of life and fashion); "synesthetic flow" (the audience's emotional immersion, represented by the actual performance and performances of the models); "participatory accessibility" (performance participation through action and instrumental support); and "immaterial symbolization" (an intuitive symbol that emphasizes both the direct outward appearance and the metaphorical symbolism so that the object is expressed in a figurative sense). From these results, we identified considerable synergy between the characteristics of intermedia and contemporary fashion shows. Therefore, it might be useful to conduct an experimental study on this area of research.

• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.83-93
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• 2014

Because the 'image' is the 'reality' in this era, there are the characteristics dematerialized between reality and non-reality in the contemporary architecture. These are promoting individualization, differentiation and multi-layered time with the development of electronic technology. This trend emphasizes the importance of imagines that are not only homogenized, simultaneous but also overlapped, multi-layered, discriminatory. Perspectives and essential characteristics of the architectural skin are changing in terms of the technical and social awareness and that means the skin has features as a complex body. Recently as an imagine creator, the architectural skin make form of media boundaries reflecting the various relationships between the observer and the external environment and also, the interior space become another sensory skin by removing the boundaries of the internal and external. It is important that making an identity of the architecture defined by the media or the imagine as well as the importance of space in architecture. These changes of skin make the third space based on the viewer's imagination and show the potential of new architectural skin with the expansion space by blurring the boundary between reality and illusion. It occurs to the diversity of the architectural skin with the identity. It will more diversified and be recognized immediately and sensibly through the interface attributes in contact with the city directly. In addition, it is more important that the skin become a unified body related with urban, social and cultural context.

• Smart Media Journal
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• v.5 no.2
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• pp.59-64
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• 2016

Storytelling techniques have been using for utilizing in various fields such as education, marketing and so on. In creative content sector, especially, the amount of creating the a newly story content from existing oral tales which are short and quite hard to understand the context has been increased. However, there are some limitations for creating the ideas of the story according to the expansion of the stories while the approach for new adaptation of existing stories is quite challenging. In this paper, therefore, we described the preliminary steps of text analysis and object extraction method for story development which can be applied to the storytelling authoring supported software.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3842-3861
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• 2019

In cut throat competition, organizations all over the world try to utilize the immense opportunities the Internet has to offer in almost all of their operations. Today, Social networking sites (SNSs) provide utilities designed to help companies to recruit right personnel. Considering the implication of social media for recruitment at infancy stage in Pakistan and lack of studies related to it, this study aims to investigate the role of different SNSs qualities (Easily navigate, Secure process, Eminence Proficiency, Candidate's Attraction and Network Expedition) in effective E-recruitment (EER). Data were collected through structured questionnaire from employees and managers of major telecom companies of Pakistan. Finally, the result of 355 returned and valid questionnaire with 55% response rate show that the relationship between SNSs qualities and EER is significant. Moreover, results also prove that EER is better than the tradition recruitment and a SNSs comparison show that Facebook is more effective than LinkedIn for EER. The results of this study will help Pakistani companies to develop a successful e-HRM and EER strategy in the current scenario.

• Smart Media Journal
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• v.7 no.4
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• pp.24-29
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• 2018

Text analysis technique for natural language processing in deep learning represents words in vector form through word embedding. In this paper, we propose a method of constructing a document vector and classifying it into spam and normal text message, using word embedding and deep learning method. Automatic spacing applied in the preprocessing process ensures that words with similar context are adjacently represented in vector space. Additionally, the intentional word formation errors with non-alphabetic or extraordinary characters are designed to avoid being blocked by spam message filter. Two embedding algorithms, CBOW and skip grams, are used to produce the sentence vector and the performance and the accuracy of deep learning based spam filter model are measured by comparing to those of SVM Light.