This study presents development of the ANN simulator for well placement of infill drilling in gas fields. The input data of the ANN simulator includes the production time, well location, all inter well distances, boundary inter well distance, infill well position, productivity potential, functional links, reservoir pressure. The output data includes the bottomhole pressure in addition to the production rate. Thus, it is possible to calculate the productivity and bottomhole pressure during production period simultaneously, and it is expected that this model could replace conventional simulators. Training for the 20 well placement scenarios was conducted. As a result, it was found that accuracy of ANN simulator was high as the coefficient of correlation for production rate was 0.99 and the bottomhole pressure 0.98 respectively. From the resultes, the validity of the ANN simulator has been verified. The term, which could produce Maximum Daily Quantity (MDQ) at the gas field and the productivity according to the well location was analyzed. As a result, the MDQ could be maintained for a short time in scenario C-1, which has the three infill wells nearby aquifer boundary, and a long time in scenario A-1. In conclusion, it was found that scenario A maintained the MDQ up to 21% more than those of scenarios B and C which include parameters that might affect the productivity. Thus, the production rate can be maximized by selecting the location of production wells in comprehensive consideration of parameters that may affect the productivity. Also, because the developed ANN simulator could calculate both production rate and bottomhole pressure, respectively, it could be used as the forward simulator in a various inverse model.
In recent, the hydrological regime of the Mekong river is changing drastically due to climate change and haphazard watershed development including dam construction. Information of hydrologic feature like streamflow of the Mekong river are required for water disaster prevention and sustainable water resources development in the river sharing countries. In this study, runoff simulations at the Kratie station of the lower Mekong river are performed using SWAT (Soil and Water Assessment Tool), a physics-based hydrologic model, and LSTM (Long Short-Term Memory), a data-driven deep learning algorithm. The SWAT model was set up based on globally-available database (topography: HydroSHED, landuse: GLCF-MODIS, soil: FAO-Soil map, rainfall: APHRODITE, etc) and then simulated daily discharge from 2003 to 2007. The LSTM was built using deep learning open-source library TensorFlow and the deep-layer neural networks of the LSTM were trained based merely on daily water level data of 10 upper stations of the Kratie during two periods: 2000~2002 and 2008~2014. Then, LSTM simulated daily discharge for 2003~2007 as in SWAT model. The simulation results show that Nash-Sutcliffe Efficiency (NSE) of each model were calculated at 0.9(SWAT) and 0.99(LSTM), respectively. In order to simply simulate hydrological time series of ungauged large watersheds, data-driven model like the LSTM method is more applicable than the physics-based hydrological model having complexity due to various database pressure because it is able to memorize the preceding time series sequences and reflect them to prediction.
Purpose : Diamond-Blackfan anemia (DBA) is a rare heterogeneous genetic disorder of infancy and early childhood. It is characterized by red cell aplasia, congenital anomalies, and a predisposition to cancer. Corticosteroids and red cell transfusions are the mainstays of therapy. We describe our experience of 6 cases of DBA that were encountered over a period of 16 years. Methods : Medical records of 6 patients diagnosed to have DBA and admitted to the Chonnam National University Hospital between 1992 and 2008 were retrospectively reviewed. Results : Three patients were males. The age at diagnosis ranged from 3 to 18 months (median, 5.5 months). Heart defects were observed in 4, polydactyly in 2, and strabismus in 1 patient. The median number of transfusions was 3 (range, 2-8). All patients responded to initial treatment with steroids and had a hemoglobin level ${\geq}9g/dL$ with a median of 12.5 days (range, 7-22 days). Three patients are currently not receiving steroid therapy. A minimum dose of oral prednisolone (<5 mg per day) was required to maintain hemoglobin ${\geq}9mg/dL$ in 3 cases. Red cell transfusion was infrequently required in 1 patient. In the median follow-up of 14 years, there was no development of malignancy. No significant side effects of steroids were found, except for short stature in 2. Conclusion : The majority of DBA patients achieved complete response and under maintenance therapy with low dose of steroids. Close observation is needed to monitor steroid side effects, cardiac function, and development of malignancy. A nation-wide survey is necessary to further characterize this rare disease in Korean children.
To obtain a stable energy supply and manage PhotoVoltaic (PV) systems efficiently, satellite imagery methods are being developed to estimate the solar PV potential. This study analyzed trends in the use of satellite imagery in solar PV and solar irradiation estimation technology. The imaging technology is used to produce solar energy resource maps. The trend analysis showed that the level of solar PV technology in Korea is 30% below that of advanced countries. It is impossible to raise such low-level technologies to the levels of advanced countries quickly. Intensive research and development is the only way to achieve the 80% technology level of advanced countries. The information produced in this process can contribute to the management of solar power plants. A valid technology development strategy would be to obtain effective data that can be used for fieldwork. Such data can be produced by estimating solar irradiation very accurately with several-hundred-meter resolution using Communication, Ocean, and Meteorological Satellites (COMS) and next-generation GEO-KOMPSAT 2A, developing core technologies for short- and medium-term irradiation prediction, and developing technologies for estimating the solar PV potential.
Lee, Jae Ju;Rhee, Kyoung Hoon;Park, Jong Seok;Han, Chang Wha;Jin, Wan Gyu
Journal of Wetlands Research
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v.16
no.4
/
pp.403-411
/
2014
This study Development of Evaluation Items and Indicators for Hydrological Safety on Agricultural Reservoir improvement and grasped the relative importance through stratification of the evaluation points through AHP technique exercised by group of experts. Below conclusion was acquired based on the study done. Firstly, the hierarchy of the evaluation items was divided into two layers: there were six upper evaluation items and eleven lower evaluation items. Secondly, using the analytic hierarchy process, the importance values of the six upper evaluation items were determined via the paired comparison questionnaire survey and consistency check, which were in the order of maintenance condition (condition evaluation grade), freeboard of levee body (non-overtopping), discharge capacity of spillway, potential flood damage, flood calculation factor and freeboard of downstream bank. The maintenance condition(condition evaluation grade) was significantly influenced the results of the hydrological safety on agricultural reservoir evaluation results. Finally, the study indicated that in the short term, improving the safety check condition evaluation grade will be useful to improve the hydrological safety of the agricultural reservoir because it can be performed immediately.
This research was carried out as a basic survey to provide more effective and improved food service for the soliders of the Armed Forces who are serving to defend the Republic of Korea subjects were selected randomly who were serving in the army for a short-term. Following is the result of a survey regarding the situation of their meals, dietary life, and their food preference of 190 kinds of foodstuffs. As a result of surveying the dietary life of the soldiers, they indicated that there was dissatisfaction in the current Food Service because it lacked tasted and the same kind of meals were being served too frequently with regard to this, many subjects expressed that they were eating out because of the quality of they get from the regular meal service the meals, that is they were eating in restaurants to resolve their dissatisfaction over the quality of the meals. It was also surveyed that in the current meals there is a need to diversify ways in preparing food, increase the number of dishes, and improve the tasts of the food by using improved cooking method. It seemed that the soldiers were satisfied in the quantitative level of the current food service but that there is a need to improve the meals in quality. Following is the result of a survey on the preference of foodstuffs. In case of rice as the stationary food, mixture of five-grain plain white cooked rice showed a higher propensity compared to plain whte boiled rice. This shows that soliders prefer various cereals in their rice. Soliders liked soup made from meat better than vegetable soup or soup made from fish. Especially there was a high performance for beef soup. Soliders liked One-dish meals such as fried rice or boiled rice with asserted mixtures, noodled, and dumplings on the whole-soliders generally liked vegetables and they liked uncooked vegetables better than cooked vegetables. Generally everyone liked beverages and there was a high preference for dessert. Among various rice cakes soliders liked songpyon(rice cake steamed on a layer of pine needles) and injolmi (cake made from glutinous rice). On the other hand, soliders did not like food prepared with fish, biscuits and candy very much. In the way of preparing food, soliders liked food that were fried in deep far rather than food cooked in water. Also they liked pot stem better than soup. As examined in the survey, those surveyed wanted improvement in the quality and diversity of the food rather than increase the number of food and quality. Therefore there is a need for diversified supply and demand of quality of meal service.
Journal of Korean Society for Geospatial Information Science
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v.9
no.2
s.18
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pp.29-36
/
2001
The purpose of this paper is to describe the Disaster Management System Development of Enterprise GIS at the Kangwon Province in Korea. This project is included into 'the Kangwon Enterprise GIS 21 plan'. The Division of Disaster Management is in the middle of the 2-year project of the Disaster Management System development, appropriate for business performed at the Departments of Forestry, Culture, Environment, Tourism, etc. At the 1st phase of CIS implementation, for more than half a year we focused on the necessity of management of disasters. In the planning process, we needed long-term information on the whole area of Kangwon. In the assessment and response processes, we needed real-time data from Korean Meteorological Administration and other agencies. All the above information was carefully studied and referred to. ESRI's new GIS technologies solve the natural hazard/disaster problems. For example, hazardous materials routing often needs to be found the least expensive path through a roadway network. In the circumstances given, we can choose the departure point and destination of the vehicle, which carries the materials. It's also possible to minimize overall risk and costs of disaster problems by making a plan of people and possessions evacuation from the disaster area in short time limits. We can meet all the above goals using the latest ESRI's technologies.
From the viewpoint of physical distribution, the port transport process can be regarded as a system which consists of various subsystems such as navigational aids, quay handling, transfer, storage, information If management, and co-ordination with inland transport. The handling productivity of this system is determined by the production level of the least productive subsystem. So, a productivity analysis on the flow of cargoes through each subsystem should be made in order to achieve efficient port operation. The purpose of this paper is to analyze the productivity of each subsystem in Pusan port, and to bring forward problems and finally to draw up plans for their betterment. Analyzed results on the productivity of each subsystem are as follows, i) It is known that the number of tugs with low HP should be increased by a few, the number of tugs with medium HP is appropriate, and the number of tugs with high HP is in excess of that necessary. ii ) In the case of container cargoes, it is found that the transfer and storage systems in BCTOC have the lowest handling capability, with a rate of $115\%$, leading to bottle-necks in the port transport system, while the handling rate of the storage and quay handling systems in general piers is in excess of the inherent capability. iii) In the case of the principal seaborne cargoes passing through general piers, there is found to be a remarkable bottle-neck in the storage system. In the light of these findings, both the extension of storage capability and the extension of handling productivity are urgently required to meet the needs of port users. Therefore, iv) As a short-term plan, it is proposed that many measures such as the reduction of free time, the efficient application of ODCY, etc must be brought in and v) In the long-trun, even though the handling capability will accommodate an additional 960,000 TEU in 1991, the scheduled completion date of the third development plan of Pusan port, insufficiency of handling facilities in the container terminal is still expected and concrete countermeasures will ultimately have to be taken for the port's harmonious operation. In particular, the problem of co-ordination with inland transport and urban traffic should be seriously examined together in the establishment of the Pusan port development. As a method of solving this, vi) It is suggested that Pusan port (North port) should be converted into an exclusive container ternimal and overall distribution systems to the other ports for treating general cargoes must be established. vii) And finally, it is also proposed that the arrival time (cut-off time) of influx cargoes for exports such as general merchandise and steel product should be limited, with a view to securing cargoes suitable for the operational capability of BCTOC.
As the impermeable area increases due to urbanization and industrialization, the influence of non-point pollutants caused by rainfall runoff on the water system is increasing. In the past, the best management practices(BMP) were used a lot to manage non-point pollutants, but recently, technology that naturally treats them through LID (Low Impact Development) technology is widely used. In this study, various rainfall events were simulated through the SWMM model based on the data of rainfall monitoring in bioretention among natural facilities. The characteristic of LID modeling research is that it is difficult to build accurate modeling data with short-term data because real data is the result obtained through natural facilities, and it is difficult to implement an accurate model. In this study, the data monitored for 3 years It is significant in that it has built a precise model. The actual data monitored a total of 18 times was simulated, and the inflow and outflow and the removal efficiency of five pollutants were simulated. As a result of performing the performance evaluation, most of the 7 items showed excellent indicators, and the TN and TP showed relatively low simulation performance. In the future, it is expected that Korea will introduce an integrated water management system in which the water supply system and the sewage system are substantially integrated and operated. Therefore, the results of this study are considered to play an important role in the initial stage of rainfall management in the future integrated water management system, and the extent of rainfall runoff reduction and pollutant reduction in the expected installation area can be predicted in advance. This is expected to prevent overdesign of bioretention.
Recently, with the development of artificial intelligence (AI) and deep learning, the importance of conversational artificial intelligence chatbots is being highlighted. In addition, chatbot research is being conducted in various fields. To build a chatbot, it is developed using an open source platform or a commercial platform for ease of development. These chatbot platforms mainly use RNN and application algorithms. The RNN algorithm has the advantages of fast learning speed, ease of monitoring and verification, and good inference performance. In this paper, a method for improving the inference performance of RNNs and applied algorithms was studied. The proposed method used the word group expansion learning technique of key words for each sentence when RNN and applied algorithm were applied. As a result of this study, the RNN, GRU, and LSTM three algorithms with a cyclic structure achieved a minimum of 0.37% and a maximum of 1.25% inference performance improvement. The research results obtained through this study can accelerate the adoption of artificial intelligence chatbots in related industries. In addition, it can contribute to utilizing various RNN application algorithms. In future research, it will be necessary to study the effect of various activation functions on the performance improvement of artificial neural network algorithms.
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