• Journal of Digital Convergence
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• v.10 no.9
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• pp.297-309
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• 2012

The MPAA(Motion Picture Association of America) warned about serious problems of piracy due to nearly a quarter of all Internet traffic around the globe was related to Internet piracy. Thus, strong legal action is enforced for piracy over nationally through strengthen the copyright law. We in this paper conducted a survey to see whether netizens prefer to download just for the matter of their convenience. Our study becomes a motivation to consider about seriousness of piracy by comparing between Korea and foreign cases. To our surprise, the survey reveals that Korean netizens conspicuously aware of their downloading behaviors outpaces Canadian netizens. Canada lacks the basic protections for the digital environment and is a safe haven for Internet pirates.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3529-3550
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• 2016

In heterogeneous networks (HetNets), energy saving is vital for a sustainable network development. Many techniques, such as spectrum allocation, network planning, etc., are used to improve the network energy efficiency (EE). In this paper, micro BSs utilizing cell range expansion (CRE) and spectrum allocation are considered in multi-channel heterogeneous networks to improve EE. Hotspot region is assumed to be covered by micro BSs which can ensure that the hotspot capacity is greater than the average demand of hotspot users. The expressions of network energy efficiency are derived under shared, orthogonal and hybrid subchannel allocation schemes, respectively. Particle swarm optimization (PSO) algorithm is used to solve the optimal ratio of subchannel allocation in orthogonal and hybrid schemes. Based on the results of the optimal analysis, we propose three service control strategies on the basis of large-scale user behaviors, i.e., adjust micro cell rang expansion (AmCRE), adjust micro BSs density (AmBD) and adjust micro BSs transmit power (AmBTP). Both theoretical and simulation results show that using shared subchannel allocation scheme in AmBD strategies can obtain maximal EE with a very small area ratio. Using orthogonal subchannel allocation scheme in AmCRE strategies can obtain maximal EE when area ratio is larger. Using hybrid subchannel allocation scheme in AmCRE strategies can obtain maximal EE when area ratio is large enough. No matter which service control strategy is used, orthogonal spectrum scheme can obtain the maximal hotspot user rates.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.433-440
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• 2017

The present study explored the impact of personality and self-identity on online information acquisition, information transmission and the usage of SNSs. Participants were 180 students, SNS users, from a university in Korea. Among the participants, 171 students completed all surveys. As a results, personality traits such as openness, extraversion, agreeableness, neuroticism were positively related to the SNS usage and information behaviors. Social identity orientation was associated with time spent of SNS and the number of friends whereas collective identity orientation was related to information acquisition. As a result of multiple regression, time spent, openness, agreeableness, collective identity were significant predictors of information acquisition. The number of SNS in use, time spent of SNS, openness, neuroticism were predictors of information transmission. However, as the predictor of information transmission, neuroticism showed inverse relationship with information transmission.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.1
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• pp.183-197
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• 2018

This study examined outdoor sports wear purchase behaviors among middle-aged male consumers based on outdoor sports wear shopping orientation. Data research was conducted on 300 internet users in their 40s and 50s located all parts of the country. The SPSS 24.0 software program was used to conduct data analyses such as descriptive statistics, frequency analysis, factor analysis, cluster analysis, $x^2-test$, t-test, ANOVA, and Duncan test as a post-hoc analysis. The results of this study were as follows: Firstly, outdoor sports wear shopping orientation was identified with fivefactors : the tendencies of wanting to show off a brand name, conservative purchasing, economical purchasing setting a high value on a salesperson, and impulse purchasing. Secondly, the middle-aged male consumers were classified in to three groups by the cluster analysis: a rational group, an indifferent shopping group, and pursuit brand shopping group. Thirdly, the evaluation criteria of products were significantly different depending on outdoor sports wear shopping orientation subdivision in all factors. Fourthly, in the case of fashion information sources regarding outdoor sportswear, significant differences were found according to shopping orientation subdivision in mass media/store source, personal source/ prior shopping experience. Fifthly, all types of stores were significantly different depending on shopping orientation subdivision except for large discount stores.

• Journal of The Korean Association of Information Education
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• v.9 no.3
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• pp.387-396
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• 2005

The purpose of this research was to find differences of children's behavioral pattern between players and non players of the online game "Lineage" in on-line and off line space. As a result, social behaviors of children who play online games were less active than who don't. Based on their motive and behavior pattern in online world, four behavior patterns in online world were identified; "Single-Oriented", "Community-Oriented", "Off-Real World" and "Discriminative." Off-Real World and Discriminative players were more sociable than Single-Oriented and Community-Oriented players. And Discriminative player has more self assertive attitude than others. This study may serve as a model to understand how players will respond to the various game features and how they adopt the virtual world for their interpersonal relationships.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.18 no.1
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• pp.43-49
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• 2005

The package used to transport radioactive materials, which is called by the shipping cask, must be safe under normal and hypothetical accident conditions. These requirements for the cask design must be verified through test or finite element analysis. Since the cost for FE analysis is less than the one for test, the verification by FE analysis is mainly used. But due to the complexity of mechanical behaviors, the results depend on how users apply the codes and can cause severe errors during analysis. In this paper, finite element analysis is carried out for the 9 meters free drop condition of the hypothetical accident conditions using LS-DYNA3D and ABAQUS/Explicit. We have investigated the analyzing technique lot the free drop impact test of the cask and investigated several vulnerable cases. The analyzed results were compared with each other. We have suggested a reliable and relatively simple analysis technique for the drop test of spent nuclear fuel casks.

• The Journal of Bigdata
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• v.1 no.2
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• pp.1-8
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• 2016

User activity log includes lots of hidden information, however it is not structured and too massive to process data, so there are lots of parts uncovered yet. Especially, it includes time series data. We can reveal lots of parts using it. But we cannot use log data directly to analyze users' behaviors. In order to analyze user activity model, it needs transformation process through extra framework. Due to these things, we need to figure out user activity model analysis framework first and access to data. In this paper, we suggest a novel framework model in order to analyze user activity model effectively. This model includes MapReduce process for analyzing massive data quickly in the distributed environment and data architecture design for analyzing user activity model. Also we explained data model in detail based on real online service log design. Through this process, we describe which analysis model is fit for specific data model. It raises understanding of processing massive log and designing analysis model.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.311-314
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• 2008

While relevant fields of construction industry have rapidly changed, the adaptation (skill) level of individuals to apply or utilize them has slowly followed. By understanding how individuals resist and conform under this change of construction industry and which factors are important for the adaptation, much time, effort, and cost can be saved for organization operation and management, and these saved resources will be able to be effectively invested to others. Accordingly, for construction industry it is necessary to understand and study how the users fit into the rapid technological change. Through this research, therefore, a systematic guideline should be created for the relevant fields of construction industry. For this research, the characteristics of individual personalities and behaviors based on the traditional model was observed and factors that contribute to the resistance and their mutual relations were theoretically identified and categorized, and then a conceptual and figurative model to show the mutual relation between the identified resistive factors was suggested.

• Journal of Internet Computing and Services
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• v.11 no.6
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• pp.73-86
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• 2010

In proportion to the rapid increase in the number of Web users, web attack techniques are also getting more sophisticated. Therefore, we need not only to detect Web attack based on the log analysis but also to extract web attack events from audit information such as Web firewall, Web IDS and system logs for detecting abnormal Web behaviors. In this paper, web attack detection system was designed and implemented based on integrated web audit data for detecting diverse web attack by generating integrated log information generated from W3C form of IIS log and web firewall/IDS log. The proposed system analyzes multiple web sessions and determines its correlation between the sessions and web attack efficiently. Therefore, proposed system has advantages on extracting the latest web attack events efficiently by designing and implementing the multiple web session and log correlation analysis actively.

• Korean Journal of Clinical Pharmacy
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• v.2 no.1
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• pp.29-39
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• 1992

In a survey of drug abuse of fourteen types of drugs by employees of public house, the results are follows. $87.4\%$ of male and $82.1\%$ of female ever smoked in his/her life time. $82.2\%$ of male and $75.2\%$ of female smoked in the past month. $90.4\%$ of male and $93.9\%$ of female ever drank in his/her life time. $82.2\%$ of male and $81.6\%$ of female in the past month. $57.8\%$ of male and $54.9\%$ of female smoked daily and $27.4\%$ of male and $53.6\%$ of female drank daily. $3.9\%$ of the employees of public house ever used marijuana in his/her life time: $1.7\%$, stimulants : $5.6\%$ inhalants : $10.0\%$ tranquilizers: $14.6\%$, hypnotics : $32.9\%$ analgesics: $3.7\%$, antitussives: and $1.4\%$, antihistamines; $1.5\%$, cocaine; $0.0\%$ amphetamines; $0.6\%$ narcotics: and $4.71\%$, hallucinogens. Drug use and delinquency showed a dosed relationship: drug users committed higher degree of delinquent behaviors and delinquents used drugs more frequently.