Sri Lanka is one of the popular ‘sun and sea’ tourism destinations in Asia that attracts tourists from all regions of the world. The tourism industry in Sri Lanka is a major economic activity and hence provides many economic benefits in terms of contribution to GDP, foreign exchange, employment and the indirect effect on other industries. Sri Lanka is currently experiencing a tourism boom as a result of the end of political violence and nearly three-decade long war in 2009. Tourism has now become a driving force of post-war economic development and Sri Lanka has even developed a Tourism Development Strategy for 2011-2016 by recognising the role it can play in post-war economic development. Over the years, the world tourism industry has changed in terms of trends, patterns and structure of origin and destination countries. UNWTO predicts that international tourist arrivals will grow by 43 million annually until 2030and the Asia Pacific region is predicted to get the most of the share of the new arrivals. This creates new opportunities and challenges for the countries which depend on the tourism such as Sri Lanka. To gain the maximum benefit from this growing industry, appropriate policy decisions, infrastructure development and conducive business environment need to be developed. To that end, accurate forecasting of the international arrivals is vital. Consequently, the main purpose of this paper is to identify a forecasting model that best fits the international tourist flow patterns in Sri Lanka using SARIMA approach. Monthly tourist arrival data from January 1984 to June 2016 is used as the training sample to identify the best forecasting model and the arrival data from July 2016 to June 2017 is used to evaluate the forecasting accuracy of the selected model. ARIMA (2,1,2)(1,0,2)12 model was selected as the best model to forecast international tourist arrivals to Sri Lanka. The findings of this study will be useful for government agencies involved in tourism planning and promotion, and the private establishments in the industry.

 In Korea, rapid industrialization would give many effects in good sides or bad sides. In rural sides, peoples moving toward cities gave population deficiency and community shrink, and peoples moving would be required more jobs, houses, conveniences ever in cities. In 1997, financial crisis made each business searching benefit and survival in business. For the survival in business, each business requires their employees to produce more profits as productivity enlarging, long time work, sacrifice his/her life for company works. So it gave more burdens to any employee. Specially, in newcomer employment diminishing condition, employee didn‟t want leave their jobs, any company‟s requirement almost accepted. So these surrounding may be give much pressure to escape. In this point, green care business will be started. Green care means to use agriculture and rural resources and surrounding for caring unprivileged peoples. So training for green care experts will be long time and more specialized. For making training systems, first of all, we should select more needy contents.
For the curriculum development, we developed job model for green care experts by 21 experts composed of researchers, green care business workers or managers, vocational education experts, green care contents experts. Through literature review and visit and interview with some managers or some experts, we proposed 9 category and 62 subcategory model. Through three staged Delphi methods, we finally made new model composed of 7category and 50subcategory. So we recommend the competency including in curriculum.

The oscillating water column (OWC) wave power generation system consists of an OWC chamber, a turbine, a generator, and a power converter. The power converter controls the generator to convert the kinetic energy of an irregularly varying wave to electric energy. The power converter comprises a rectifier that converts the three-phase AC voltage, which is the output of the generator, into DC, and an inverter that converts the three-phase AC voltage into an AC voltage of a frequency and magnitude required by the grid. In this paper, we present a topology of a power converter for an OWC wave power generation system and simulate the mathematical modeling of a permanent magnet synchronous generator and power converter for a wave power generation system to the operation characteristics of the power converter.

It is dangerous when human are working in and around the high voltage environments. The safety of personnel in and around electric power the installations has been a prime concern. Specifically, this safety is generally in terms of the allowable touch and step voltages. These voltages are related to the ground resistance of human foot. In order to increase the safety of personnel, a high resistivity surface layer of gravel is normally existed in the substation switchyards or other high voltage areas. The thickness of this layer will affect the calculation of the ground resistance of human foot. Among them, the electromagnetic field and humidity factors are also considered in this paper. As a result, the surface layer of gravel can be used to reduce the grounding resistance of human foot. The equivalent model of human foot was modeled by the circular plate conductor in the past. Which consider the beauty of the environment, most of the transmission lines are in the surface, so the transmission line generated by the discrete current will affect the grounding resistance estimation, so this paper will consider the composition of the Maxwell equations. On the other hand, the damp ingredients and temperatures on the surface will also be considered in this paper. This paper investigates the present methods for estimating the ground resistance of human foot and proposes an equivalent model for calculating the grounding resistance of human foot. A comparison of the proposed model and present methods is also shown in this paper.