• Knowledge Management Research
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• v.10 no.4
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• pp.61-74
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• 2009

Computer-mediated communication(CMC) media has various forms through the technical improvements of computer and network, and CMCs communication methods are also comparative free rather than any other existing media without the limitation of time and space. Various CMC media were adopted by a lot of organizations for their communication tool. Thus, it is important to understand relationships of affecting factors to user's communication satisfaction for choosing the effective CMC media in their organizations. In this paper, we identify factors that may affect the communication satisfaction of users that has utilized the CMC media, and validate empirically the relationships between the identified factors in KOPTI. In the research model developed and described herein, perceived media richness was significantly associated with communication satisfaction and perceived usefulness was significantly associated with perceived media richness. Furthermore, perceived ease of use was significantly associated with perceived usefulness.

• Korean journal of communication and information
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• v.36
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• pp.348-373
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• 2006

In the era of digital media, one of the most distinctive characteristics is the activity what audience play. This characteristic can be particularly demonstrated in the case of PPV(Pay-Per-View) use. Since this service is related with payment by audience according to each behaviour of their own media use. In doing so, this paper explores the characteristics and behavioral pattern in PPV use. In particular, the study tries to predict from the result that which trait of characteristic can explain the adoption of PPV. The analytical result shows that PPV users are much more active in gathering information as well as achieving the diversity in terms of program choice compared to non PPV users. At the same time, PPV users are prone to be unsatisfied against the other media and naturally willing to adopt the new media. PPV users are much more keen to use toward age related programme classification system in order to protect their children from inappropriate programmes. The variable of participational behaviour is the most relevant variable to predict the degree of PPV use, however, it fails to predict to distinguish the PPV users group from non PPV users group. It maybe given as a conclusion that PPV users are much more active in not only choosing their own program they like to watch but also planning ahead for maximising their pleasure from viewing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.132-134
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• 2017

Recently, the market of social media have increased real time streaming services such as message, photo, video clip feed, and the use of Instagram and Snapchat services has rapidly increased and the market have been competitive. In this point, this research is to review the development and trend of social media services.

• Smart Media Journal
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• v.2 no.2
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• pp.20-27
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• 2013

The concept of social media is top of the agenda for many business executives and decision makers, as well as consultants try to identify ways where companies can make profitable use of applications such as Netflix, Flixster. The social media is playing an increasingly important role as the information sources for customers making product choices etc. With the flourish of Web 2.0 technology, customer reviews are becoming more and more useful and important information resources for people to save their time and energy on purchasing products that they want. This paper proposes the Bayesian Probabilistic Classification algorithm to mine the social media review, and evaluates it by different splits and cross validation mechanism from the real data set. The explored study experimental results show the robustness and effectiveness of proposed approach for mining the social media review.

• Journal of Forest and Environmental Science
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• v.40 no.2
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• pp.118-122
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• 2024

This study reported the novel use of fallen leaf extract as a microbial culture media for the first time. Extract from hardwood fallen leaves (HLE) was prepared under high temperature and pressure conditions and then supplemented with specific nutrients. The growth of four industrially significant prokaryotes on the HLE-based media was measured and compared with that on enriched media (Luria-Bertani, LB). Notably, supplementing HLE with only 0.5 g of yeast extract and 1 g tryptone per liter showed a similar growth rate of Pseudomonas chlororaphis compared to standard LB media. Overall, the HLE media developed in this study offers a sustainable and cost-effective approach to microbial media production, capitalizing on the valorization of forest waste.

• Journal of Information Processing Systems
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• v.10 no.1
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• pp.1-22
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• 2014

Recent technological advances provide the opportunity to use large amounts of multimedia data from a multitude of sensors with different modalities (e.g., video, text) for the detection and characterization of criminal activity. Their integration can compensate for sensor and modality deficiencies by using data from other available sensors and modalities. However, building such an integrated system at the scale of neighborhood and cities is challenging due to the large amount of data to be considered and the need to ensure a short response time to potential criminal activity. In this paper, we present a system that enables multi-modal data collection at scale and automates the detection of events of interest for the surveillance and reconnaissance of criminal activity. The proposed system showcases novel analytical tools that fuse multimedia data streams to automatically detect and identify specific criminal events and activities. More specifically, the system detects and analyzes series of incidents (an incident is an occurrence or artifact relevant to a criminal activity extracted from a single media stream) in the spatiotemporal domain to extract events (actual instances of criminal events) while cross-referencing multimodal media streams and incidents in time and space to provide a comprehensive view to a human operator while avoiding information overload. We present several case studies that demonstrate how the proposed system can provide law enforcement personnel with forensic and real time tools to identify and track potential criminal activity.

• Journal of Korea Multimedia Society
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• v.3 no.6
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• pp.611-616
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• 2000

By the most important media to deliver the contents on a remote instruction we commonly use audio and documents. A number of remote instruction system are trying to offer the video, but they did not acquire satisfiable results because of the limited network and width. Also, they use the general web browsers that have a lot of unspecific users access the contents. Also, they use the general web browsers that have a lot of unspecific users access the contents. Like this most systems that use the continuous media have not offer the satisfiable contents because of the network limitation. Moreover, because they use the web browser, they offer the contents having documents(web pages) only. In this paper, we propose a web-based remote instruction system on real-time using audio and documents which are the most important media for a information delivery. In addition to the system, we use a action synchronization mechanism between the web browsers. If the instructor uses web pages on his computer and explains the contents of them, the learners see the same web pages as the instructor's and listens to his voice.

• Science of Emotion and Sensibility
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• v.26 no.4
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• pp.3-14
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• 2023

Recently, the effect of using social media on psychological well-being has been highlighted. However, studies exploring factors that may predict the quality of social media relationships are relatively rare. The present study investigated whether social media activity and psychological states, such as loneliness and depression, can predict the quality of social media relationships during the COVID-19 quarantine period using a machine learning technique. Ninety-five participants completed a self-report survey on loneliness, Instagram activity, quality of social media relationships, and depression at different time points (during the self-isolation and after the release of self-isolation). Similarity analyses, including multidimensional scaling (MDS), representational similarity analysis (RSA), and classification analyses, were conducted separately at each point in time. The results of MDS revealed that time spent on social media and depression were distinguished from others in the first dimension, and loneliness and passive use were distinguished from others in the second dimension. We divided the data into two groups based on the quality of social media relationships (high and low), and we conducted RSA on each group. Findings indicated an interaction between the quality of the social media relationships and the situation. Specifically, the effect of self-isolation on the high-quality social media relationship group is more pronounced than that on the low-quality group. The classification results also revealed that the predictors of social media relationships depend on whether or not they are isolated. Overall, the results of this study imply that social media relationship could be well predicted when people are not in isolated situations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

• Journal of The Korean Society of Clinical Toxicology
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• v.8 no.1
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• pp.37-42
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• 2010

Purpose: The purpose of this study was to determine the optimal length of time to observe patients with contrast media anaphylaxis in the Emergency Department. Methods: This study included the patients of all age groups who presented with anaphylaxis due to contrast media to the ED of Pusan National University Hospital from January 2006 to August 2009. The medical records were retrospectively reviewed. We analyzed the 100 patients who met the inclusion criteria. Their median age was 55 (46-62), and 38 out of the 100 patients (38%) were male. Results: The most common symptom of patients was urticaria. Corticosteroid and H1 antihistamine were given to most of the patients in the ED. All were discharged after observation in the ED and none were admitted to the ward. The average time from injection of the contrast media to the onset of symptom was 31 minutes (24-39) and the average time to symptom recovery was 127 minutes (89-188). The mean observation time in the ED was 93 minutes (59-153). Biphasic reactions were reported in only one case (1/100, 1%). Conclusion: These results suggest that patients who present with an anaphylactic reaction after radiologic studies that use intravenous contrast media can be safely discharged early from the ED because the symptom recovery time is not long and a biphasic reaction is rare.