• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.2B
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• pp.279-288
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• 2004

Rapidly emerging P2P(Peer to Peer) applications generate very bursty traffic, which gives a lot of burden to network, and the amount of such traffic is increasing rapidly. Thus it is becoming more important to understand the characteristics of such traffic and reflect it when we design and analyze the network. To do that we measured the traffic in a campus network and present flow statistics and traffic models of the measured traffic, and compare them with those of the web traffic. The results indicate that P2P traffic is much burstier than web traffic and as a result it negatively affects network performance. We modeled P2P traffic using self-similar traffic model to predict packet delay and loss occurred in network which are very important to evaluate network performance. We also predict queue length distribution and loss probability in SSQ(Single Sewer Queue). To assess accuracy of traffic model, we compare the SSQ statistics of traffic models with that of the traffic trace. The results show that self-similar traffic models we use can predict P2P traffic behavior in network precisely. It is expected that the traffic models we derived can be used when we design network capacity and predict network performance and QoS of the P2P applications.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.146-170
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• 2017

Joint channel assignment and routing is a well-known problem in multi-radio wireless mesh networks for which optimal configurations is required to optimize the overall throughput and fairness. However, other objectives need to be considered in order to provide a high quality service to network users when it deployed with high traffic dynamic. In this paper, we propose a re-configuration optimization model that optimizes the network throughput in addition to reducing the disruption to the mesh clients' traffic due to the re-configuration process. In this multi-objective optimization model, four objective functions are proposed to be minimized namely maximum link-channel utilization, network average contention, channel re-assignment cost, and re-routing cost. The latter two objectives focus on reducing the re-configuration overhead. This is to reduce the amount of disrupted traffic due to the channel switching and path re-routing resulted from applying the new configuration. In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users' mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. The proposed algorithm re-assigns channels to radios and re-configures flows' routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. The ns-2 simulator is used as simulation tool and various metrics are evaluated. These metrics include channel-link utilization, channel re-assignment cost, re-routing cost, throughput, and delay. Simulation results show the good performance of SA-JRCA in term of packet delivery ratio, aggregated throughput and re-configuration overhead. It also shows higher stability to the traffic variation in comparison with other compared algorithms which suffer from performance degradation when high traffic dynamics is applied.

• Research in Community and Public Health Nursing
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• v.14 no.1
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• pp.144-156
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• 2003

This study was conducted to investigate the relationship between the self-esteem, social support and health promoting lifestyle of the elderly in a community. The sample consisted of 147 elderly, and data were collected from September 1 to October 15, 2001. The instrument of this study was a structured questionnaire including Health Promoting Lifestyle (47 items), Social Support(18 items), Self-Esteem(10 items), Socio-demographic Characteristics. Analysis of the data was done by use of descriptive statistics, ANOVA, Pearson Correlation Coefficient. The results of this study are as follows: 1. The degrees of self-esteem of the elderly were mean score $25{\pm}2.98$ points, socio-demographic characteristics containing meaningful difference with self-esteem was not significant. 2. The degrees of social support by elderly were mean score $55.03{\pm}9.60$ points and social support according to the socio-demographic characteristics showed meaning difference in family structure $\ulcorner$with off spring$\lrcorner$ (F=8.50, p=.000), health status $\ulcorner$good$\lrcorner$ (t=2.19, p=.030), smoking $\ulcorner$below 1 packet daily$\lrcorner$ (F=4.88 p=.009). 3. The degrees of health enhancing lifestyle by elderly were mean score $113.61{\pm}20.12$ points and health enhancing lifestyle according to the socio-demographic characteristics showed meaning difference in education level $\ulcorner$middle school and above$\lrcorner$ (F=6.37 p=.002), occupation before retirement $\ulcorner$profession, technician, employee of company, education$\lrcorner$ (F=5.00, p=.003), health status $\ulcorner$good$\lrcorner$ (t=3.14, p=0.002), exercise $\ulcorner$weekly 2-3$\lrcorner$ (F=4.31, p=.006), drinking $\ulcorner$weekly 1$\lrcorner$ (F=2.74, p= .046). 4. The item mean score of personal relationship support field in health enhancing lifestyle were $2.90{\pm}.60$ points. item mean scores of exercise and nutrition were $2.26{\pm}.39$ points, item mean scores of stress managing field were $2.25{\pm}.49$ points, item mean scores of health responsible field were $2.14{\pm}.61$ points. 5. The relationship between self-esteem and health enhancing lifestyle revealed a significant correlation(r=.169. p=.041), but self-esteem and social support, showed no significant correlation, and health enhancing lifestyle and social support, revealed a significant correlation(r=.654, p=.001).

• Korean Journal of Environmental Agriculture
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• v.41 no.2
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• pp.108-114
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• 2022

BACKGROUND: This study was performed to determine residual characteristics of soil-treated metalaxyl-M and dinotefuran in crown daisy and to evaluate the risks from intake of the residual pesticides in the crop. METHODS AND RESULTS: The pesticide granules were treated in soil on two levels, and the plants samples were collected 51 days after seeding. The analytes were extracted and partitioned using the QuEChERS extraction packet (MgSO₄ 4 g, NaCl 1 g). The quantitative methods for metalaxyl-M and dinotefuran were validated in linearity, accuracy, and precision. Risk assessments of the pesticides were performed using Korea national nutrition statistics 2019. CONCLUSION(S): The residual concentrations of metalaxyl-M in crown daisy were 0.09-0.10 mg/kg (for the treatment at 6 kg/10 a) and 0.17-0.19 mg/kg (12 kg/10 a), respectively. The residual concentrations of dinotefuran in the crop were 0.53-0.75 mg/kg (3 kg/10 a) and 1.17-1.26 mg/kg (6 kg/10 a). The amounts of pesticides were less than MRL (Maximum Residue Limits) according to the Korean MFDS (Ministry of Food and Drug Safety). The HI (Hazard Index) of metalaxyl-M and dinotefuran for consumers was 0.0075% and 0.2250%, respectively. For females in the age between 50-64, the major consumer group, the HIs of the pesticides were <3%. Considering the consumption of crown daisy, they are not considered to be of toxicological concern.