• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.123-129
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• 2017

This study intends examine the relevance of factors with negative influences on anti-social sexual awareness formation in adolescents as per the concern of the parents of families with adolescents, as internet pornography exposure in adolescents lead to excessive indulgence in pornographic photographs, cartoons, videos, or fictions, or in video chatting with exposure of one's own body parts. For this, the factors of internet pornography exposure in the study subjects of adolescents were constructed into a multilateral model, and the structural equation model was analyzed. As the result of the study, the following conclusion were drawn. First, the most powerful factor influencing the anti-social sexual awareness in adolescents was, contrary to the concern of many, not the exposure to pornography through internet media, but personal characteristics such as sensation-seeking tendency and socio-environmental characteristic of differential association. Second, it is worth noting that the most major factor influencing intentional internet pornography exposure by adolescents is another form of pornography exposure. Third, whether intentional or unintentional, the internet-related variable influencing the internet pornography exposure was found to be the amount of internet usage. Fourth, the unintended internet pornography exposure was found to have no direct influence on the sexual awareness of adolescents, but it did have an indirect influence on sexual awareness mediated by intentional internet pornography exposure and existing-media pornography exposure. Based on these study results, the conclusion was drawn regarding the influence of internet pornography on sexual awareness in adolescents.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.740-743
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• 2002

A flat-rate tariff for the high-speed Internet contributed to diffusion of the high-speed Internet in its infancy. But, according as the number of subscriber becomes over 9.20 million and the market arrives the maturity of market, the problems of flat-rate tariff begins appear and can be summarized as follows; as unfair payment, inefficience of resources distribution, and subsidy of tariff from light users to heavy users. Therefore, we need to find an efficient Internet pricing and then would like to find the implication about the pricing strategy by examining foreign cases that work usage-based pricing.

• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.89-97
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• 2010

The most important concern in the internet service organizations in competitive market circumstances is to focus on formation and maintenance of continuous relationship with customers. The purpose of this study is to verify the effect of perception of the fairness - procedural fairness for recovery, interactional fairness, fairness for reward on customer's satisfaction and trust, behavior when the internet service company failed to service such as disclosure of personal information. This study aims to apply justice theories to service recovery. As a result, first, the customer's perceived justice had a significant effect on the customer satisfaction and trust in service recovery. Second, the customer's satisfaction positive effect on trust. Third, customer's satisfaction formed by service recovery had a effect on the customer's behavior such as continuous usage intention. Therefore, this study was reveal how the extent of justice perception felt by customers in the service recovery process, causes positive causation relationship which affect customer behavior intention.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.11
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• pp.1241-1248
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• 2014

An efficient battery usage of sensor nodes is main goal in a sensor network, which is the substructure of Internet of Things. Maximizing the battery usage of sensor nodes makes the lifetime of sensor network increase as well as the reliability of the network improved. The previous solutions to solve these problems are mainly focused on the cluster head selection based on the remaining energy. In this paper, we consider both the head selection and the replacement interval which is determined by a threshold that is based on the remaining energy, density of alive nodes, and location. Our simulation results show that the proposed scheme has outstanding contribution in terms of maximizing the life time of the network and balancing energy consumption of all nodes.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.1
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• pp.73-85
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• 2019

The purpose of this study was to discover the effects of clothing involvement and risk perception, which can influence risk reduction behavior. The subjects of this study were young male consumers living in Seoul and Kyunggi-do who had purchased fashion products from an Internet shopping mall. Questionnaires were collected from July 1, 2018 to July 8, 2018 and 300 questionnaires were used in the data analysis. The data was analyzed utilizing a factor analysis, a regression, ANOVA and a Duncan-test. The results of this study were as follows. Clothing involvement factors influenced various risk perceptions and risk perception influenced risk reduction behaviors. Among the various risk perception factors, psychological risk was the most important factor, which was influenced by clothing involvement factors. The usage of media was the most important factor, which was influenced by various risk perception factors. Finally clothing involvement and risk perception influenced risk reduction behaviors. Among the various risk reduction factors, the usage of media was the most important factor, which was influenced by clothing involvement and risk perception factors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5357-5381
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• 2018

Cloud computing offers a wide range of on-demand resources over the internet. Utility-based resource allocation in cloud data centers significantly increases the number of cloud users. Heavy usage of cloud data center encounters many problems such as sacrificing system performance, increasing operational cost and high-energy consumption. Therefore, the result of the system damages the environment extremely due to heavy carbon (CO2) emission. However, dynamic allocation of energy-efficient resources in cloud data centers overcomes these problems. In this paper, we have proposed Energy and Service Level Agreement (SLA) Aware Resource Allocation Heuristic Algorithms. These algorithms are essential for reducing power consumption and SLA violation without diminishing the performance and Quality-of-Service (QoS) in cloud data centers. Our proposed model is organized as follows: a) SLA violation detection model is used to prevent Virtual Machines (VMs) from overloaded and underloaded host usage; b) for reducing power consumption of VMs, we have introduced Enhanced minPower and maxUtilization (EMPMU) VM migration policy; and c) efficient utilization of cloud resources and VM placement are achieved using SLA-aware Modified Best Fit Decreasing (MBFD) algorithm. We have validated our test results using CloudSim toolkit 3.0.3. Finally, experimental results have shown better resource utilization, reduced energy consumption and SLA violation in heterogeneous dynamic cloud environment.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.35-45
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• 2011

Due to people's internet use growth and proliferation of ubiquitous technology, the internet addiction is becoming a social issue. However, the current adults' self-diagnosis measure about internet addiction, the K-scale, is a normal diagnostic method, which it does not consider user characteristics. In this research, we will propose a new internet addiction diagnostic method based on users' non-duty internet activities by using some questionnaire items to collect users' basic internet patterns used on duty related or non-duty related web sites. Since we simply ask for the basic internet usage pattern to each user who does not like to check frankly questionnaire items in the K-scale, the proposed method can find some hidden internet addicts compared to the K-scale with the SPSS statistical analysis tool.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.243-250
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• 2007

The purpose of this study is to examine the relationship between internet addiction and stress of college students. To assess the degree of internet addiction, internet addiction test of the center for online addiction was completed. Subjects were divided into three group depending on internet addiction ; subjects with 20-49 internet scores were grouping as 'normal usage group', subjects with 50-79 internet scores were grouping as 'addiction tendency group', and subjects with more than 80 internet scores were grouping as 'internet addiction group'. In this study it is found that interpersonal relationship stress is significantly related to internet addiction. Also, the result of this study shows that home background stress and school background stress have influence on internet addiction.

• Journal of The Korean Association of Information Education
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• v.12 no.2
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• pp.213-222
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• 2008

The information society based on Internet has positive effects to provide us with abundance and comfort as well as enhancement of quality of life. But it also has negative effects which bring about more serious social problems than real life. These negative effects of the cyber space are especially critical to elementary school students who do not have good judgment capability and clear concept on cyber space. To solve these problems, we have to let them have ethical sense to respond to the dysfunctions of Internet. We need to enforce Internet ethics education at home and in school so that they can behave as responsible and moral behaviors in this information society. Because the most of the elementary school students usually use Internet at home, the role of their parents can be particularly important factor in Internet ethics education. The purpose of this paper was to identify the current status of the consciousness on Internet ethics of the elementary school students who are the creators of new culture on Internet and their parents who make great influence on their education, and to study what influence the consciousness on the Internet ethics of parents has made on the Internet usage of their children. Through this study, we try to provide the desirable direction for Internet ethics of elementary school students.