• Korean Journal of Adult Nursing
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• v.17 no.1
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• pp.3-11
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• 2005

Purpose: This study was conducted to investigate quality of life according to social support of elderly in the rural area. Method: The subjects of this study were 199 people aged over 60 who had been living in three rural areas. Date was collected through questionnaires from July 10th, to August 10th, 2003. Result: The most socially supportive people they answered were friends(80.9%), followed by children(74.9%), neighbors(71.9%), siblings(55.8%), spouse(53.3%), in descending order. Mean social support score for spouse was 13.36, for children 13.27, for friends 11.40, for neighbors 10.21, for siblings 10.20. A comparison of the average grade points per items according to the offerers of social support revealed spouse support(13.36 out of 18), children support(13.27), friends support(11.40), neighbor support(10.21), siblings support(10.20). The average of the quality of life score was 132.26 out of 220. A comparison of the average grade points per items within sub-areas of quality of life revealed the highest score of neighbor relationships(4.29 out of 5.00) and the lowest score of economic conditions (2.61) Quality of life scores correlated positively with social support scores(r=.734, p<.001). Variables significantly influencing quality of life were spouse support(36.1%), neighbor support (5.1%), age(2.2%), religion(1.7%). These variables explained 45.1% of the variance in quality of life. Conclusion: Social support for elderly people in rural areas identified this as a greatly effective factor for their quality of life. Therefore, it is necessary to develop health promotion programs connected with social support in order to enhance the quality of elderly people in rural areas.

• Asian Journal of Atmospheric Environment
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• v.10 no.4
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• pp.197-207
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• 2016

Large quantities of air pollutants are released into the atmosphere and hence, must be monitored and routinely assessed for their health implications. This paper proposes a stochastic technique to predict unobserved hazardous air pollutants (HAPs), especially Benzo[a]pyrene (BaP), which can have negative effects on human health. The proposed approach constructs a nearest-neighbor structure by incorporating the linkage between BaP and meteorology and meteorological effects. This approach is adopted in order to predict unobserved BaP concentrations based on observed (or forecasted) meteorological conditions, including temperature, precipitation, wind speed, and air quality. The effects of BaP on human health are examined by characterizing the cancer risk. The efficient prediction provides useful information relating to the optimal monitoring period and projections of future BaP concentrations for both industrial and residential areas within Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.9
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• pp.4342-4366
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• 2016

Congestion control in Cluster Wireless Sensor Networks (CWSNs) has drawn widespread attention and research interests. The increasing number of nodes and scale of networks cause more complex congestion control and management. Active Queue Management (AQM) is one of the major congestion control approaches in CWSNs, and Random Early Detection (RED) algorithm is commonly used to achieve high utilization in AQM. However, traditional RED algorithm depends exclusively on source-side control, which is insufficient to maintain efficiency and state stability. Specifically, when congestion occurs, deficiency of feedback will hinder the instability of the system. In this paper, we adopt the Additive-Increase Multiplicative-Decrease (AIMD) adjustment scheme and propose an improved RED algorithm by using neighbor feedback and scheduling scheme. The congestion control model is presented, which is a linear system with a non-linear feedback, and modeled by Lur'e type system. In the context of delayed Lur'e dynamical network, we adopt the concept of cluster synchronization and show that the congestion controlled system is able to achieve cluster synchronization. Sufficient conditions are derived by applying Lyapunov-Krasovskii functionals. Numerical examples are investigated to validate the effectiveness of the congestion control algorithm and the stability of the network.

• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.459-466
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• 2004

In this paper, an effective skeleton method is proposed in order to obtain an enhanced digital image of skeleton line. The binary image using the threshold values is applied in the preprocessing stage and then the modified parallel processing method is applied to obtain the improved image of skeleton line. The existing skeleton methods are Rutovitz, Steiabelli and other five skeleton methods. In the digital process of skeleton line, the major problem caused by these methods is elongated lines and noise branches of the processed image. In this study, however, such noises are deleted first by the modified parallel processing step of the proposed method. Then a pixel is compared to its eight neighbor pixels. if its neighbor pixels are in one of the eight conditions, the central pixel is deleted. As a result, the quality of the skeleton is better then those produced by the existing skeleton methods.

• Journal of Korean Society of Rural Planning
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• v.23 no.1
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• pp.65-83
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• 2017

This paper proposes a village level settlement environment diagnostic indices in rural areas which can apply to analyze various conditions at village level. A living space in rural areas has been changed with a diverse aspect according to living infrastructure, industrial structure, accessibility to neighbor city and so on. This indicators considered these mega-regionalization of economy and lifestyle in rural areas. The indicators consists of basic indices for all types villages and convenience service indices for center villages and the other neighbor ones classified by a functionality of their convenience facilities. As the results of delphi expert survey and a field validation, rural village settlement environment diagnostic indicators were selected 3 types, 15 domains, 24 subdomains and 61 items. And these indicators weight were determinted by AHP method. These developed indicators were used to diagnosis settlement conditions of 31 villages, located on county of Yeongdong. to validate a applicability and feasibility.

• Current Research on Agriculture and Life Sciences
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• v.32 no.1
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• pp.43-52
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• 2014

Reactive oxygen and nitrogen species (ROS and RNS, respectively) are messengers that carry signals to alter the redox state in order to activate plant responses and other physiological processes, such as differentiation, aging, senescence, and pathogen defense. Quite a large number of genes are involved in this signaling and lead to oxidative stress in plants. Although the role of ROS/RNS during stress conditions is well documented, a comprehensive list of genes and comparative study of these genes has not yet been completed. Accordingly, the in silico identification of oxidative stress-related genes was performed for soybeans and Arabidopsis. These genes were also studied in relation to multiple domain prediction. The presence of domains like dehydogenase and ATPase suggests that these genes are involved in various metabolic processes, as well as the transportation of ions under optimal environmental conditions. In addition to a sequence analysis, a phylogenetic analysis was also performed to identify orthologous pairs among the soybean and Arabidopsis oxidative stress-related genes based on neighbor joining. This study was also conducted with the objective of further understanding the complex molecular signaling mechanism in plants under various stress conditions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.491-498
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• 2016

The software defined networks implement a software network control plane, which is physically separated from the data plane. For wide area software defined network deployments, multiple controllers are required, and the placement of these controllers influences importantly the performance of the software defined networks. This paper proposes a Tabu search algorithm, which is one of the meta heuristic algorithms, for an efficient controller placement in software defined networks. In order to efficiently obtain better results, we propose new neighborhood generating operations, which are called the neighbor position move and the neighbor number move, of the Tabu search algorithm. We evaluate the performances of the proposed algorithm through some experiments in terms of the minimum latency and the execution time of the proposed algorithm. The comparison results show that the proposed algorithm outperforms the existing genetic algorithm and random method under various conditions.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.4
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• pp.82-88
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• 2012

A VANET (Vehicular Ad Hoc Network), a subclass of MANET (Mobile Ad Hoc Network), is an ad hoc network using wireless communication between vehicles without fixed infrastructure such as base station. VANET suffers a frequent link breakage and network topology change because of the rapid movement of vehicles and the density change of vehicles. From these characteristics of VANET, geographical routing protocols such as GPSR (Greedy Perimeter Stateless Routing) using only the information of neighbor nodes are more suitable rather than AODV and DSR that are used in existing MANETs. However, GPSR may have a transmission delay and packet loss by frequent link disconnection and continual local maxima under the low vehicle density conditions. Therefore, in this paper, we propose a DTVR (Delay Tolerant Vehicular Routing) algorithm that perform a DTN-based routing scheme if there is no 2-hop neighbor nodes for efficient routing under the low vehicle densities in VANETs. Simulation results using ns-2 reveal that the proposed DTVR protocol performs much better performance than the existing routing protocols.

• Journal of Wetlands Research
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• v.19 no.1
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• pp.103-111
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• 2017

In this study, we estimate the NNI(Nearest Neighbor Index) which is considered altitude of rain gauge network as a method for evaluating appropriateness of spatial distribution and the current rain gauge network is evaluated. The altitude is divided by equal-area-ratio and optimal NNI within given basin condition is estimated using harmony search method for considering geographical conditions that vary from altitude to altitude. After calculating current state and optimal NNI for each altitude, the distribution of the rain gauge network is evaluated based on the difference between the two NNIs. As a result, it founds that the density of rain gauge networks is relatively thin as the altitude increases. Furthermore, it will be possible to construct an efficient rain gauge network if the characteristics of different altitudes are considered when a new rain gauge network is newly constructed.

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.873-885
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• 2016

Onions are grown in a few specific regions of Korea that depend on the climate and the regional characteristic of the production area. Therefore, when onion yields are to be estimated, it is reasonable to use a statistical model in which both the climate and the region are considered simultaneously. In this paper, using a spatial panel regression model, we predicted onion yields with the different weather conditions of the regions. We used the spatial auto regressive (SAR) model that reflects the spatial lag, and panel data of several climate variables for 13 main onion production areas from 2006 to 2015. The spatial weight matrix was considered for the model by the threshold value method and the nearest neighbor method, respectively. Autocorrelation was detected to be significant for the best fitted model using the nearest neighbor method. The random effects model was chosen by the Hausman test, and the significant climate variables of the model were the cumulative duration time of sunshine (January), the average relative humidity (April), the average minimum temperature (June), and the cumulative precipitation (November).