• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.3
• /
• pp.1057-1073
• /
• 2015

In this paper, we consider cooperative D2D communications in cellular networks. More precisely, a cellular user leases part of its spectrum to facilitate the D2D communication with a goal of improving the energy efficiency of a D2D pair. However the D2D pair is untrusted to the cellular user, such resource sharing may result in the information of this cellular user unsecured. In order to motivate the cellular user's generosity, this D2D pair needs to help the cellular user maintain a target secrecy rate. To address this issue, we formulate a joint spectrum and power allocation problem to maximize the energy efficiency of the D2D communication while guaranteeing the physical layer security of the cellular user. Then, a theorem is proved to indicate the best resource allocation strategy, and accordingly, an algorithm is proposed to find the best solution to this resource allocation problem. Numerical results are finally presented to verify the validity and effectiveness of the proposed algorithm.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.5 no.4
• /
• pp.406-411
• /
• 2010

A honeynet is a closely monitored computing resource that we want to be probed, attacked or compromised. More precisely, a honeypot is "an information system resource whose value lies in unauthorized or illicit use of that resource The value of honeynet is weighed by the information that can be obtained from it. but It's very difficult to deploy Honeynet in Real World, So I focused on Virtual Honeynet. The strength of virtual honeynet is scalability and ease of maintenance. It is inexpensive to deploy and accessible to almost everyone. Compared with physical honeypots, this approach is more lightweight. Instead of deploying a physical computer system that acts as a honeypot, we can also deploy one physical computer that hosts several virtual machines that act as honeypots.

• The Journal of Korean Physical Therapy
• /
• v.16 no.1
• /
• pp.1-13
• /
• 2004

Airway clearance technique are used to aid in mucus clearance in a variety of disease states. In this review I discuss airway physiology including airway mucus, action of airways, and airway resistance and review the literature and theory regarding forced expiratory technique, active cycle of breathing technique, and autogenic drainage. Also, I look at the appropriate device such as positive expiratory pressure mask(PEP mask), Flutter, and HFCWO(Vest system) which can be applied in the field of respiratory physical therapy. This study is provided as the basic resource regarding the application method of respiratory physical therapy.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.12
• /
• pp.5701-5722
• /
• 2018

The continuous increase in the cost of energy production and concerns for environmental sustainability are leading research communities, governments and industries to amass efforts to reduce energy consumption and global $CO_2$ footprint. Players in the information and communication industry are keen on reducing the operational expenditures (OpEx) and maintaining the profitability of cellular networks. Meanwhile, network virtualization has been proposed in this regard as the main enabler for 5G mobile cellular networks. In this paper, we propose a generic framework of slice resource provisioning and customized physical resource allocation for energy-efficiency and quality of service optimization. In resource slicing, we consider user demand and population resources provisioning scheme aiming to satisfy quality of service (QoS). In customized physical resource allocation, we formulate this problem with an integer non-linear programming model, which is solved by a heuristic algorithm based on minimum vertex coverage. The proposed algorithm is compared with the existing approaches, without consideration of slice resource constraints via system-level simulations. From the perspective of infrastructure providers, traffic is scheduled over a limited number of active small-cell base stations (sc-BSs) that significantly reduce the system energy consumption and improve the system's spectral efficiency. From the perspective of virtual network operators and mobile users, the proposed approach can guarantee QoS for mobile users and improve user satisfaction.

• ETRI Journal
• /
• v.43 no.1
• /
• pp.53-63
• /
• 2021

Cloud computing has drastically reduced the price of computing resources through the use of virtualized resources that are shared among users. However, the established large cloud data centers have a large carbon footprint owing to their excessive power consumption. Inefficiency in resource utilization and power consumption results in the low fiscal gain of service providers. Therefore, data centers should adopt an effective resource-management approach. In this paper, we present a novel load-balancing framework with the objective of minimizing the operational cost of data centers through improved resource utilization. The framework utilizes a modified genetic algorithm for realizing the optimal allocation of virtual machines (VMs) over physical machines. The experimental results demonstrate that the proposed framework improves the resource utilization by up to 45.21%, 84.49%, 119.93%, and 113.96% over a recent and three other standard heuristics-based VM placement approaches.

• Journal of Family Resource Management and Policy Review
• /
• v.5 no.1
• /
• pp.49-60
• /
• 2001

This research examined elderly’s quality of life(q/l). In order to explore the elderly’s q/l, it was conceptualized into 8 dimensions tapping macro and micro aspects of elderly’s life: physical & mental health, self-esteem, anxiety, social support, family solidarity, economic state, and physical environment. The primary purposes were to describe dimensions of q/l by the elderly’s sociodemographic variables. And the intercorrelations among q/l dimensions were examined and then the effects of q/l sub-dimensions on psychological well-being were analyzed by using multiple regression. Based on the data collected for 677 subjects residing in rural and urban areas, the basic issues hypothesized were explored. The findings appeared that the psychological well-being was a positive function of physical and mental health, self-esteem, social support, and economic state and a negative one of social anxiety, controlling for subjects’s sociodemographic variables.

• Journal of Family Resource Management and Policy Review
• /
• v.12 no.4
• /
• pp.47-62
• /
• 2008

This study investigated the experience of physical violence among adolescents and the domestic variables explaining sibling violence. Data were collected from 501 adolescents in 2007 and analyzed using SPSS 16.0. The statistics used for analysis were the T-Test, two-way ANOVA, and regression. Findings indicated that 45% of the sample population had experienced sibling violence and the most common acts were "hit with hand or objects". The violence of parents toward their children, gender, and the frequency of conflict between siblings were associated with sibling violence. From these results, the study proposed that education about sibling violence should be included in social work programs.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.8
• /
• pp.2626-2646
• /
• 2014

This study presents a power and Physical Resource Blocks (PRBs) joint allocation algorithm to coordinate uplink (UL) interference in the device-to-device (D2D) underlaying Long Term Evolution-Advanced (LTE-A) networks. The objective is to find a mechanism to mitigate the UL interference between the two subsystems and maximize the weighted sum throughput as well. This optimization problem is formulated as a mixed integer nonlinear programming (MINLP) which is further decomposed into PRBs assignment and transmission power allocation. Specifically, the scenario of applying imperfect channel state information (CSI) is also taken into account in our study. Analysis reveals that the proposed PRBs allocation strategy is energy efficient and it suppresses the interference not only suffered by the LTE-A system but also to the D2D users. In another side, a low-complexity technique is proposed to obtain the optimal power allocation which resides in one of at most three feasible power vectors. Simulations show that the optimal power allocation combined with the proposed PRBs assignment achieves a higher weighted sum throughput as compared to traditional algorithms even when imperfect CSI is utilized.

• Journal of Digital Convergence
• /
• v.14 no.10
• /
• pp.303-310
• /
• 2016

Due to the ossification of the Internet, it is difficult to accommodate variety services. One of the efficient solution to this problem is network virtualization. It allows multiple parallel virtual networks to run on the shared physical infrastructure. It needs new resource allocation mechanism to share efficient physical resources. In this paper, we present efficient bandwidth allocation algorithm for virtual network request with high service priority. Our proposed algorithm can withdraw allocated bandwidth from low-level priority virtual network and maintain low-level virtual network service. We evaluated the performance of our proposed algorithm using simulation and found the improvement of approximately 8% acceptance rate.

• Child Health Nursing Research
• /
• v.12 no.1
• /
• pp.15-24
• /
• 2006

Purpose: This study was done to define nursing behavior in neonatal intensive care units so as to estimate resource-based relative value-. Method: Participating in this study were 292 nurses in neonatal intensive care units. The study surveyed physical and mental labor, stress and time involved in nursing work. Tool used in this study was a nursing labor per relative value tool. For analyzes, the relative value of each nursing behavior was calculated, where the mean value of the three components, labor intensity and component-by-component explanatory power were in percentage terms. Results: 1. Nursing behaviors in neonatal intensive care unit were classified and defined at three levels: 5 main domains, 17 mid-domains, and 42 small domains. 2. The per component explanatory power of intensity involved in nursing labor showed physical effort to be 32.45%, mental 32.86%, and stress 34.69%. 3. The reliability of nursing labor factors was very strong, Cronbach's alpha value of 0.96. Conclusion: In this research, which is a first in defining nursing behavior in neonatal intensive care units, individual nursing behavior were broken down using resource-based relative value for nursing cost, and each nursing behavior was successfully translated to a numerical value.