• Journal of Information Technology Services
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• v.15 no.4
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• pp.97-109
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• 2016

The rapid deployment of millions of mobile sensors and smart devices has resulted in high demand for opportunistic encounter-based networking. For the cooperative video surveillance of dashboard cameras in nearby vehicles, a fast and energy-efficient asynchronous neighbor discovery protocol is indispensable because a dashboard camera is an energy-hungry device after the vehicle's engine has turned off. In the existing asynchronous neighbor discovery protocols, all nodes always try to discover all neighbors. However, a dashboard camera needs to discover nearby dashboard cameras when an event is detected. In this paper, we propose a fast and energy-efficient asynchronous neighbor discovery protocol, which enables nodes : 1) to have different roles in neighbor discovery, 2) to discover neighbors within a search range, and 3) to report promptly the exact discovery result. The proposed protocol has two modes: periodic wake-up mode and active discovery mode. A node begins with the periodic wake-up mode to be discovered by other nodes, switches to the active discovery mode on receiving a neighbor discovery request, and returns to the periodic wake-up mode when the active discovery mode finishes. In the periodic wake-up mode, a node wakes up at multiples of number ${\alpha}$, where ${\alpha}$ is determined by the node's remaining battery power. In the active discovery mode, a node wakes up for consecutive ${\gamma}$ slots. Then, the node operating in the active discovery mode can discover all neighbors waking up at multiples of ${\beta}$ for ${\beta}{\leq}{\gamma}$ within ${\gamma}$ time slots. Since the proposed protocol assigns one half of the duty cycle to each mode, it consumes equal to or less energy than the existing protocols. A performance comparison shows that the proposed protocol outperforms the existing protocols in terms of discovery latency and energy consumption, where the frequency of neighbor discovery requests by car accidents is not constantly high.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.446-453
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• 2000

Mobile computing refers to an emerging new computing environment incorporating both wireless and wired high-speed networking technologies. In the near future, it is expected that mobile users will have access to a wide variety of services that will be made available over highspeed networks. The quality of these services in the high-speed networks can be specified in terms of several QoS paameters. The important QoS parameter in mobile computings is the guarantee for seamless communication which is to provide disruption free service to mobile users. A disruption in service could occur due to active handoffs. This paper proposes an extended staggened muticast approach which provides a probabilistic guarantee for disruption free service. The extended staggerd multicast approach estimates mobility direction and mobility velocity for a user. It is possible that data packets for a mobile host are multicasted to not all neighbor cells but a part of neighbor cells on the basis of these information. Therefore, the extended staggered multicast significantly reduces the static network bandwidth usage also provides a probabilistic guarantee for disruption free service.

• Journal of KIISE:Information Networking
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• v.33 no.1
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• pp.91-102
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• 2006

We analyze the performance of MAC-layer Reed-Solomon error recovery in the cdma2000 1xEV-DO Broadcast and Multicast Services (BCMCSs) environment, with respect to the size of the ECB (Error Control Block) and the air-channel condition, and establish the relationship between ECB size, error recovery capacity and service latency. From this we propose an adaptive error recovery scheme which adjusts the size of the ECB to reflect the environment of the mobile nodes so as to meet the required service quality (target bit error-rate), while reducing the latency of real-time applications. Extensive simulation results show the effectiveness of our approach compared to the current static scheme. Proposed adaptive schemes achieves near optimal solution with respect to service latency while satisfying the required service quality.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.443-454
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• 2020

This study aims to develop one-stop support service for the ALS. To achieve the purpose, the cases of Korea and Japan were researched. The data used in the multiple-case study mainly referred to diaries, blogs, social networking sites, Youtube, and interviews of the disabled with ALS disease in Korea and Japan, and analyzed support services of both countries. The result of the study showed that, in the onset stage of ALS disease, a fellow counselor should be assigned by family member or person who experienced the disease from KALSA or other organizations to which a patient belongs. Also, it need a counseling by fellow counselor in the stage of softening disability. And after the gastrointestinal procedure, the number of home visits by visiting nurses should increase, and other services by OT and PT are required. In the stage of wearing a respirator, it needs to train and dispatch volunteers for ALS exclusive activities. And it is necessary to set up a family rest area or a respite service for the mentally and physically exhausted primary caregiver by long-term care. Most of all, these services should be one-stop support with linking step by step, not fragmentary support.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.565-573
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• 2015

The development of social media in the 2000s led the unspecified individuals to band together for common interests. Social networking services served as a far-reaching tool for sharing different thoughts and interpretation of the pop culture and helped people build up close relations driven by their common interests for certain works of the pop culture. This Study introduces the TV Series as a case that displays specific patterns of communication between its producer and viewers. Producer Bryan Fuller of the Series as well as key production staffs were quite active on social networking sites with the understanding of what the audience desired and the willingness to sympathize with them, which were eagerly welcomed by the dedicated audience whose number, though, was not big. For the Hannibal production team, SNS was a means for them to just be consumers who appreciate the work instead of solely being the content provider. Their approach is quite different from unilateral marketing approaches employed in the past. Through this case, the Study aims to suggest that social networking sites serve as a powerful medium connecting producers and viewers or as an information hub, and that how interactive contents shall be delivered in the new media environment to be effective.

• Journal of Internet Computing and Services
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• v.16 no.1
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• pp.83-90
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• 2015

This paper examines the rising value of social networked journalism and analyzes the case of a social news site based on the theory of networked journalism. Social networked journalism allows the public to be involved in every aspect of journalism production through crowd-sourcing and interactivity. The networking effect with the public is driving journalism to transform into a more open, more networked and more responsive venue. "wikitree" is a social networking news service on which anybody can write news and disseminate it via Facebook and Twitter. It is operated as an open sourced program which incorporates "Google Translate" to automatically convert all its content, enabling any global citizen with an Internet access to contribute news production and share either their own creative contents or generated contents from other sources. Since its inception, "wikitree global" site has been expanding its coverage rapidly with access points arising from 160 countries. Analyzing its international coverage by country and by news category as well as by the unique visit numbers via SNS, the results of the case study imply that networking with the global public can enhance news traffic to the social news site as well as to specific news items. The results also suggest that the utilization of Twitter and Facebook in social networked journalism can break the boundary between local and global public by extending news-gathering ability while growing audience's interest in the site, and engender a feasible business model for a local online journalism.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.112-119
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• 2023

Traditionally used for networking computers and communications, the Internet has been evolving from the beginning. Internet is the backbone for many things on the web including social media. The concept of social networking which started in the early 1990s has also been growing with the internet. Social Networking Sites (SNSs) sprung and stayed back to an important element of internet usage mainly due to the services or provisions they allow on the web. Twitter and Facebook have become the primary means by which most individuals keep in touch with others and carry on substantive conversations. These sites allow the posting of photos, videos and support audio and video storage on the sites which can be shared amongst users. Although an attractive option, these provisions have also culminated in issues for these sites like posting offensive material. Though not always, users of SNSs have their share in promoting hate by their words or speeches which is difficult to be curtailed after being uploaded in the media. Hence, this article outlines a process for extracting user reviews from the Twitter corpus in order to identify instances of hate speech. Through the use of MPCA (Modified Principal Component Analysis) and ECNN, we are able to identify instances of hate speech in the text (Enhanced Convolutional Neural Network). With the use of NLP, a fully autonomous system for assessing syntax and meaning can be established (NLP). There is a strong emphasis on pre-processing, feature extraction, and classification. Cleansing the text by removing extra spaces, punctuation, and stop words is what normalization is all about. In the process of extracting features, these features that have already been processed are used. During the feature extraction process, the MPCA algorithm is used. It takes a set of related features and pulls out the ones that tell us the most about the dataset we give itThe proposed categorization method is then put forth as a means of detecting instances of hate speech or abusive language. It is argued that ECNN is superior to other methods for identifying hateful content online. It can take in massive amounts of data and quickly return accurate results, especially for larger datasets. As a result, the proposed MPCA+ECNN algorithm improves not only the F-measure values, but also the accuracy, precision, and recall.

• Therapeutic Science for Rehabilitation
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• v.13 no.3
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• pp.23-36
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• 2024

Objective : This study investigated the mediating effect of social networks on the relationship between social networking service (SNS) dependence and healthy lifestyle among university students. Methods : Data from 374 university students were collected via online surveys. Sociodemographic data, SNS dependence, social networks, and healthy lifestyle were assessed. Mediation analysis using bootstrapping was conducted to examine the mediating effect of social networks on the relationship between SNS dependence and healthy lifestyle. Results : A total of 374 university students participated in this study. The average age of the participants was 21.8 years (standard deviation = 2.1), and 70.3% were females. Mediation analysis revealed that SNS dependence had a direct effect on healthy lifestyle (β = -.078, standard error [SE] = .052, p = .128), which was not statistically significant. However, a statistically significant indirect effect was observed through social networks (β = -.052, SE = .020, p = .011). The total effect of SNS dependence on a healthy lifestyle was significant (β = -.130, SE = .053, p = .014). Conclusion : Social networks play a critical role in promoting a healthy lifestyle. Health professionals should prioritize interventions to address SNS dependence and leverage social networks to encourage healthier behaviors.

• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.283-296
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• 2012

The goal of this study is to determine the social emotion model as an emotion sharing relationship and information sharing relationship based on the user's relations at social networking services. 26 social emotions were extracted by verification of compliance among 92 different emotions collected from the literature survey. The survey on the 26 emotion words was verified to the similarity of social relation types to the Likert 7-points scale. The principal component analysis of the survey data determined 12 representative social emotions in the emotion sharing relation and 13 representative social emotions in the information sharing relation. Multidimensional scaling developed the two-dimensional social emotion model of emotion sharing relation and of information sharing relation based on online communication environment. Meanwhile, insignificant factors in the suggest social emotion models were removed by the structural equation modeling analysis, statistically. The test result of validity analysis demonstrated the fitness of social emotion models at emotion sharing relationships (CFI: .887, TLI: .885, RMSEA: .094), social emotion model of information sharing relationships (CFI: .917, TLI: .900, RMSEA : 0.050). In conclusion, this study presents two different social emotion models based on two different relation types. The findings of this study will provide not only a reference of evaluating social emotions in designing social networking services but also a direction of improving social emotions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.195-204
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• 2020

The purpose of this study was to explore factors associated with smartphone dependence among adults in their 20s. The data were derived from the 2017 Survey on Smartphone Over-dependence conducted by the Ministry of Science and ICT and the National Information Society Agency. There were 3,684 participants. The data were analyzed by frequency, percentage, mean, standard deviation, independent t-test, Pearson's correlation coefficient, and weighted hierarchical multiple regression analysis. For the results, factors related with higher smartphone dependence of participants were duration (β=.18, p=.000) and frequency (β=.04, p=.000) of usage, gaming (β=.15, p=.000), watching videos (β=.09, p=.000), mobile shopping (β=.05, p=.000), working (β=.05, p=.010), e-mailing (β=.13, p=.000), and sports betting (β=.07, p=.000). Music (β=-.07, p=.000) and adult content (β=-.07, p=.000) significantly reduced their smartphone dependence. SNS (Social Networking Services) (β=.01, p=.358) and instant messengers (β=-.02, p=.330) were not factors related to smartphone dependence. However, instant messengers were the most used by participants and had a strong correlation with working (r=.55, p=.000). This study shows that smartphone usage patterns related with smartphone dependence among adults in their 20s are different from those of children and adolescents. These results could be used to more deeply understand smartphone dependence among adults in their 20s and plan early detection and prevention and care of dependence.