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손석원,김지량,은영미,김세홍 대한가정의학회 2019 Korean Journal of Family Practice Vol.9 No.1
Background: Calcium plays an important role in the metabolism of essential nutrients in the human body; recently, it became one of the significant causes of various metabolic disorders including hypertension, obesity, diabetes mellitus, and dyslipidemia. However, data regarding the association between calcium and metabolic disorders in Koreans are limited. The present study aimed to assess the association between serum calcium and elevated blood pressure, overweight, and obesity in Koreans. Methods: A total of 719 Korean adults who visited the outpatient department of a university hospital were included in this study. The association between serum calcium and obesity and elevated blood pressure in men and women was evaluated separately using multiple regression analysis. Odds ratio was calculated to determine the association between serum calcium levels and overweight, obesity, and elevated blood pressure in men and women. Results: Multiple regression analysis showed that body mass index was significantly increased in men with higher serum calcium levels (β=0.156, P=0.043). In men, the odds ratio for obesity and elevated blood pressure by serum calcium level were 2.04 (95% confidence interval [CI]: 1.02–4.06) and 2.26 (95% CI: 1.09–4.69), respectively. In women, the odds ratio for elevated blood pressure by serum calcium level was 1.86 (95% CI: 1.03–3.34). Conclusion: In this study, there was a significant positive association between serum calcium level and obesity and elevated blood pressure in men. In women, there was a significant positive association between serum calcium level and elevated blood pressure.
Energy-efficient Positioning of Cluster Heads in Wireless Sensor Networks
손석원,한광록 한국전기전자학회 2009 전기전자학회논문지 Vol.13 No.1
As one of the most important requirements for wireless sensor networks, prolonging network lifetime can be realized by minimizing energy consumption in cluster heads as well as sensor nodes. While most of the previous researches have focused on the energy of sensor nodes, we devote our attention to cluster heads because they are most dominant source of power consumption in the cluster-based sensor networks. Therefore, we seek to minimize energy consumption by minimizing the maximum(MINMAX) energy dissipation at each cluster heads. This work requires energy-efficient clustering of the sensor nodes while satisfying given energy constraints. In this paper, we present a constraint satisfaction modeling of cluster-based routing in a heterogeneous sensor networks because mixed integer programming cannot provide solutions to this MINMAX problem. Computational experiments show that substantial energy savings can be obtained with the MINMAX algorithm in comparison with a minimum total energy(MTE) strategy.