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The purpose of this study is to develop an optimal allocation model of nursing workforce and apply it to outpatients at a tertiary hospital in Korea. A workload model that consists of average number of patients per day and nursing time per patient was used to estimate the optimal number of nursing workforce in each clinical department, considering the annual off days per nursing staff. The nursing time was classified into three stages(reception-treatment-consulting) and the data were collected by one-to-one observation for three years. It was analyzed by three scenarios: scenario 1 considered actual days spent on vacation and holiday, scenario 2 reflected all holidays and annual leaves under labor act, and scenario 3 included only mandatory holidays and off days. The average number of patients per day varied from 29 to 846 according to clinical department, and required nursing time per patient was from 5.1 to 14.2 minutes. The actual nursing staffs per clinical department were 7.6 persons. The optimal nursing workforce was 7.1, 6.4, and 6.0 persons, respectively in the scenario 1, 2, and 3. In scenario 1, it was analyzed that -3.6 to 7.9 additional nursing staffs should be employed and an average of 0.5 staffs can be reduced. In scenario 2, it was analyzed that -2.9 to 8.7 (average 1.3) additional nursing staffs need to be employed. Lastly, scenario 3 estimated that -2.5 to 9.2 (average 1.7) additional nursing staffs need to be employed. However, this study estimated an optimal nursing workforce to a decimal point, while the number of nurses employed in real world is a positive integer. With nursing manpower allocation rounded to the nearest decimal, nurse staffing condition and patient outcomes could be improved. Therefore, it is recommended to consider an integer model of nurse staffing level in the further detailed studies.* This study was supported by National Research Foundation of Korea.

These days, mobile device users are demanding a higher service due to technical development of mobile device. Because of the mobile communication traffic is magnified such as the wireless internet, SMS/MMS data services for various forms. Also, traditional wired environment has been transformed into a wireless environment. That is, wireless internet users increase, has become important in MIPv6, many services developed though 3G and WIBRO. Since 2004, MIPv6, Fast MIPv6, Hierarchical MIPv6, Proxy MIPv6 have been proposed due to improved performance by developing more protocols and related technologies, many studies currently underway. Has been the hottest issue in MIPv6 the mobile device other issues that occur when moving between Base Stations handover latency and packet loss and packet accordingly phenomenon is reversed. In this paper, we used beacon Messages, Look-Up and Reverse Binding. So, we are proposed to solve these problems by using the proposed method.