• The Korean Journal of Community Living Science
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• v.17 no.4
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• pp.67-80
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• 2006

This study conducted research on the actual state of community-oriented services for elderly rural inhabitants and their desire related to them to develop a local community service network model suitable to the characteristics of rural longevity villages. The research was conducted on 906 elderly people over 65 living in 20 rural longevity villages through questionnaires assessing filming and economy, economic activity, health care, learning and leisure activities as well as asking their wants and needs relative to local community services. As a result, it was found rural elderly people showed a high desire for local community services such as health, transportation and economy activity. In addition, they were mainly cultivating farm products as their economic activity and showed a high demand in the future as well. Most were found to take a walk in the healthcare field and showed a high demand for health examinations, health education, health consulting, hot spring bathing and basking in the woods. Respecting learning, social and leisure activities, they were mostly found to watch TV and do house chores, and showed a high desire for village environment repair, traditional farm music, visiting and tourism. With the above results, it is expected that the desire of rural elderly for such services can be satisfied, and the development of a local community service network model suitable to the characteristic of a local community is recommended.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.345-353
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• 2021

Cloud computing represent a new era of computing that's forms through the combination of service-oriented architecture (SOA), Internet and grid computing with virtualization technology. Virtualization is a concept through which every cloud is enable to provide on-demand services to the users. Most IT service provider adopt cloud based services for their users to meet the high demand of computation, as it is most flexible, reliable and scalable technology. Energy based performance tradeoff become the main challenge in cloud computing, as its acceptance and popularity increases day by day. Cloud data centers required a huge amount of power supply to the virtualization of servers for maintain on- demand high computing. High power demand increase the energy cost of service providers as well as it also harm the environment through the emission of CO₂. An optimization of cloud computing based on energy-performance tradeoff is required to obtain the balance between energy saving and QoS (quality of services) policies of cloud. A study about power usage of resources in cloud data centers based on workload assign to them, says that an idle server consume near about 50% of its peak utilization power [1]. Therefore, more number of underutilized servers in any cloud data center is responsible to reduce the energy performance tradeoff. To handle this issue, a lots of research proposed as energy efficient algorithms for minimize the consumption of energy and also maintain the SLA (service level agreement) at a satisfactory level. VM (virtual machine) consolidation is one such technique that ensured about the balance of energy based SLA. In the scope of this paper, we explore reinforcement with fuzzy logic (RFL) for VM consolidation to achieve energy based SLA. In this proposed RFL based active VM consolidation, the primary objective is to manage physical server (PS) nodes in order to avoid over-utilized and under-utilized, and to optimize the placement of VMs. A dynamic threshold (based on RFL) is proposed for over-utilized PS detection. For over-utilized PS, a VM selection policy based on fuzzy logic is proposed, which selects VM for migration to maintain the balance of SLA. Additionally, it incorporate VM placement policy through categorization of non-overutilized servers as- balanced, under-utilized and critical. CloudSim toolkit is used to simulate the proposed work on real-world work load traces of CoMon Project define by PlanetLab. Simulation results shows that the proposed policies is most energy efficient compared to others in terms of reduction in both electricity usage and SLA violation.

• Transportation Technology and Policy
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• v.10 no.6
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• pp.17-24
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• 2013

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.136-136
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• 2007

• Proceedings of the KOR-KST Conference
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• 2007.05a
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• pp.477-484
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• 2007

• Journal of Communications and Networks
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• v.13 no.5
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• pp.518-524
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• 2011

A high assurance IP encryption (HAIPE) compliant protocol accelerator is proposed for military networks consisting of red (or classified) networks and black (or unclassified) networks. The boundary between red and black sides is assumed to be protected via a HAIPE device. However, the IP layer encryption introduces challenges for bandwidth on demand satellite communication. The problems experienced by transmission control protocol (TCP) over satellites are well understood: While standard modems (on the black side) employ TCP performance enhancing proxy (PEP) which has been shown to work well, the HAIPE encryption of TCP headers renders the onboard modem's PEP ineffective. This is attributed to the fact that under the bandwidth-on-demand environment, PEP must use traditional TCP mechanisms such as slow start to probe for the available bandwidth of the link (which eliminates the usefulness of the PEP). Most implementations recommend disabling the PEP when a HAIPE device is used. In this paper, we propose a novel solution, namely broadband HAIPE-embeddable satellite communications terminal (BHeST), which utilizes dynamic network performance enhancement algorithms for high latency bandwidth-on-demand satellite links protected by HAIPE. By moving the PEP into the red network and exploiting the explicit congestion notification bypass mechanism allowed by the latest HAIPE standard, we have been able to regain PEP's desired network enhancement that was lost due to HAIPE encryption (even though the idea of deploying PEP at the modem side is not new). Our BHeST solution employs direct video broadcast-return channel service (DVB-RCS), an open standard as a means of providing bandwidth-on-demand satellite links. Another issue we address is the estimation of current satellite bandwidth allocated to a remote terminal which is not available in DVBRCS. Simulation results show that the improvement of our solution over FIX PEP is significant and could reach up to 100%. The improvement over the original TCP is even more (up to 500% for certain configurations).

• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.183-190
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• 2012

Internet Protocol Television(IPTV) is the use of an IP broadband network to deliver television (cable TV type) services to the end user. Traditional telecommunications service providers as well as alternate service providers and Internet service providers can utilize their IP networks (and broadband consumer access) to deliver broadcast TV, Video on Demand (VOD) and other Internet services to the consumer. As digital technologies progress, illegal copy and redistribution of IPTV content become easier and simpler. Therefore it is required to protect IPTV content or service. In this paper, we analyze the security threats and requirements. We also discuss related issues and solutions for IPTV.

• KNOM Review
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• v.21 no.2
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• pp.1-9
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• 2018

Network virtualization refers to a technology creating independent virtual network environment on a physical network. Network virtualization technology can share the physical network resources to reduce the cost of establishing the network for each user and enables the network administrator to dynamically change the network configuration according to the purpose. Although the network management can be handled dynamically, the management is manual, and it does not maximize the profit of network virtualization. In this paper, we propose Machine-Learning technology to allow the network to learn by itself and manage its management dynamically. The proposed approach is to dynamically allocate appropriate resources by predicting resource demand of VNF in service function chaining, which is a core and essential problem in virtual network management. Our goal is to predict the resource demand of the VNF and dynamically allocate the appropriate resources to reduce the cost of network operation while preventing service interruption.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.65-76
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• 2008

Recently, software distribution method, along with advent of era of Web 2.0, is rapidly evolving from ASP(Application Service Provider) method into SaaS(Soft as a Service) method due to development in concepts and technologies including SOA(Service Oriented Architecture) Web Service, On Demand and Component. Determining factor in market competitiveness of newly emerging SaaS business model will be analyzed by focusing on Group-Wares, POS(Point of Sale) System, CRM(Customer Relationship Management) and ERP(Enterprise Resource Planning), which are the most representative SaaS business models in Korea. It is anticipated that the outcome of analysis of determining factors for market competitiveness for each of the main SaaS Business Models acquired through questionnaire survey can be utilized as important benchmarking material in setting the direction of cultivating SaaS market by the government as well as new entries into SaaS market.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.156-163
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• 2022

Social services are divided into care services and other support services for the elderly, children and the disabled. These social services are the subject of great policy interest in that they can create two effects at the same time: increase in labor demand for service providers and increase the possibility of long-term accumulation of human capital for service recipients. Therefore, this study aims to confirm the hypothesis according to whether the use of social services affects family relationships and the effects of social service users' psychological adaptation on marital and parent-child relationships even when other related variables are controlled. The final result of this thesis is a regression analysis to find out the effect of psychological adaptation on the family relationship, spouse relationship, and relationship with children of subjects who have experience using social services. -.661, p=0.001), the higher the psychological adaptation, the higher the spouse satisfaction (β=.465, p=0.001) and relationship satisfaction with children (β=.360, p=0.001). In other words, it was found that the more depressed the psychologically, the more negative the relationship with spouse and children.