• Journal of Korean Society of Steel Construction
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• v.19 no.1
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• pp.15-27
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• 2007

Over the past decade, labor costs have increased relative to the cost of material hardware according to analysts in the construction industry. Therefore, the minimum weight design, which has been widely adopted in the literature for the optimal design of steel structures, is no longer the most economical construction approach. Presently, although connection- related costs is crucial in determining the most cost-effective steel structures, most studies on this subject focused on minimum-weight design or engaged in higher analysis. Therefore, in this study, we proposed a fabrication scheme for the most cost-effective moment-resisting steel frame structures that resist lateral loads without compromising overall stability. The proposed approach considers the cost of steel products, fabrication, and connections within the design process. The optimal design considered construction realities, with the optimal trade-off between the number of moment connections and total cost was achieved by reducing the number of moment connections and rearranging them using the combination of analysis that includes shear, displacement and interaction value based on the LRFD code and optimization scheme based on genetic algorithms. In this study, we have shown the applicability and efficiency in the examples that considered actual loading conditions.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.2
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• pp.205-213
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• 2018

Development and validation of crop models often require measurements of biomass for the crop of interest. Considerable efforts would be needed to obtain a reasonable amount of biomass data because the destructive sampling of a given crop is usually used. The Kinect sensor, which has a combination of image and depth sensors, can be used for estimating crop biomass without using destructive sampling approach. This approach could provide more data sets for model development and validation. The objective of this study was to examine the applicability of the Kinect sensor for estimation of chinese cabbage fresh weight. The fresh weight of five chinese cabbage was measured and compared with estimates using the Kinect sensor. The estimates were obtained by scanning individual chinese cabbage to create point cloud, removing noise, and building a three dimensional model with a set of free software. It was found that the 3D model created using the Kinect sensor explained about 98.7% of variation in fresh weight of chinese cabbage. Furthermore, the correlation coefficient between estimates and measurements were highly significant, which suggested that the Kinect sensor would be applicable to estimation of fresh weight for chinese cabbage. Our results demonstrated that a depth sensor allows for a non-destructive sampling approach, which enables to collect observation data for crop fresh weight over time. This would help development and validation of a crop model using a large number of reliable data sets, which merits further studies on application of various depth sensors to crop dry weight measurements.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.75-84
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• 2010

As broadcasting in Mobile Ad hoc NETwork (MANET) is the process that a node sends a packet to all other nodes in the network. it is used for routing protocols such as Ad hoc On demand Distance Vector (AODV) to disseminate control information for establishing the routes. In this paper, we propose Probabilistic Broadcasting mechanism based on Distance Ratio between sender and receive node in MANETs. The proposed approach is based on the combination of probability and distance based approach. A mobile node receiving broadcast packets determines the probability of rebroadcasting considering distance ratio from sender. The distance ratio of a node is calculated by the distance from sender and the length of radio field strength. As a node with high distance ratio is located far away from sender, rebroadcast probability is set to high value. On contrary, the low rebroadcast probability is set for a node with low distance ratio which is close to sender. So it reduces packets transmission caused by the early die-out of rebroadcast packets. Compared with the simple flooding and fixed probabilistic flooding by simulation, our approach shows better performances results. Proposed algorithm can reduce the rebroadcast packet delivery more than 30% without scanting reachability, where as it shows up to 96% reachability compared with flooding.

• Archives of Plastic Surgery
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• v.38 no.4
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• pp.472-476
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• 2011

Purpose: Traditional transcutaneous incision and transconjunctival incision methods are commonly used in the lower blepharoplasty. The transconjunctival method leaves no visible scars nor does it change the shape of lower eyelid contour and the surgical technique is not difficult. However removal of excess baggy skin is not possible through this method. Therefore, the transconjunctival incision method is useful only for patients who still have normal elasticity of the lower eyelids and fat that is protruding only anterocaudally. The Author will introduce a technique, which complements the limitations of these two methods mentioned above. Methods: The author combined the transconjunctival approach and lower blepharoplasty with only the excised skin flap method. This method does not go beyond the previous methods but does apply the advantages of them. Results: From March 2007 to October 2010, this new technique was performed in a total of 62 patients. Fat was removed and repositioned through transconjunctival incision. Drooped skin was excised as in the traditional blepharoplasty but only the skin flap was elevated. This prevents post-operative complications such as ectropion, sclera show, and deformation of the shape of the lower eyelids or under-resection of fat. All patients were satisfied with the post-operative appearance. Conclusion: The author was able to get satisfactory results while avoiding complications of traditional transcutaneous technique with this combined technique of the transconjunctival approach and the lower blepharoplasty method of skin flaps only.

• Journal of Korean Society of Forest Science
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• v.111 no.3
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• pp.435-449
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• 2022

Forest canopy height is an indispensable vertical structure parameter that can be used for understanding forest biomass and carbon storage as well as for managing a sustainable forest ecosystem. Plot-based field surveys, such as the national forest inventory, have been conducted to provide estimates of the forest canopy height. However, the comprehensive nationwide field monitoring of forest canopy height has been limited by its cost, lack of spatial coverage, and the inaccessibility of some forested areas. These issues can be addressed by remote sensing technology, which has gained popularity as a means to obtain detailed 2- and 3-dimensional measurements of the structure of the canopy at multiple scales. Here, we reviewed both international and domestic studies that have used remote sensing technology approaches to estimate the forest canopy height. We categorized and examined previous approaches as: 1) LiDAR approach, 2) Stereo or SAR image-based point clouds approach, and 3) combination approach of remote sensing data. We also reviewed upscaling approaches of utilizing remote sensing data to generate a continuous map of canopy height across large areas. Finally, we provided suggestions for further advancement of the Korean forest canopy height estimation system through the use of various remote sensing technologies.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.32-32
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• 2023

Incidences of urban flood and extreme heat waves (due to the urban heat island effect) are expected to increase in New Zealand under future climate change (IPCC 2022; MfE 2020). Increasingly, the mitigation of such events will depend on the resilience of a range Nature-Based Solutions (NBS) used in Sustainable Urban Drainage Schemes (SUDS), or Water Sensitive Urban Design (WSUD) (Jamei and Tapper 2019; Johnson et al 2021). Understanding the impact of changing precipitation and temperature regimes due climate change is therefore critical to the long-term resilience of such urban infrastructure and design. Cuthbert et al (2022) have assessed the trade-offs between the water retention and cooling benefits of different urban greening methods (such as WSUD) relative to global location and climate. Using the Budyko water-energy balance framework (Budyko 1974), they demonstrated that the potential for water infiltration and storage (thus flood mitigation) was greater where potential evaporation is high relative to precipitation. Similarly, they found that the potential for mitigation of drought conditions was greater in cooler environments. Subsequently, Jaramillo et al. (2022) have illustrated the locations worldwide that will deviate from their current Budyko curve characteristic under climate change scenarios, as the relationship between actual evapotranspiration (AET) and potential evapotranspiration (PET) changes relative to precipitation. Using the above approach we assess the impact of future climate change on the urban water-energy balance in three contrasting New Zealand cities (Auckland, Wellington, Christchurch and Invercargill). The variation in Budyko curve characteristics is then used to describe expected changes in water storage and cooling potential in each urban area as a result of climate change. The implications of the results are then considered with respect to existing WSUD guidelines according to both the current and future climate in each location. It was concluded that calculation of Budyko curve deviation due to climate change could be calculated for any location and land-use type combination in New Zealand and could therefore be used to advance the general understanding of climate change impacts. Moreover, the approach could be used to better define the concept of urban infrastructure resilience and contribute to a better understanding of Budyko curve dynamics under climate change (questions raised by Berghuijs et al 2020)). Whilst this knowledge will assist in implementation of national climate change adaptation (MfE, 2022; UNEP, 2022) and improve climate resilience in urban areas in New Zealand, the approach could be repeated for any global location for which present and future mean precipitation and temperature conditions are known.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.109-130
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• 2011

One of the major problems in the area of data mining is the size of the data, as most data set has huge volume these days. Streams of data are normally accumulated into data storages or databases. Transactions in internet, mobile devices and ubiquitous environment produce streams of data continuously. Some data set are just buried un-used inside huge data storage due to its huge size. Some data set is quickly lost as soon as it is created as it is not saved due to many reasons. How to use this large size data and to use data on stream efficiently are challenging questions in the study of data mining. Stream data is a data set that is accumulated to the data storage from a data source continuously. The size of this data set, in many cases, becomes increasingly large over time. To mine information from this massive data, it takes too many resources such as storage, money and time. These unique characteristics of the stream data make it difficult and expensive to store all the stream data sets accumulated over time. Otherwise, if one uses only recent or partial of data to mine information or pattern, there can be losses of valuable information, which can be useful. To avoid these problems, this study suggests a method efficiently accumulates information or patterns in the form of rule set over time. A rule set is mined from a data set in stream and this rule set is accumulated into a master rule set storage, which is also a model for real-time decision making. One of the main advantages of this method is that it takes much smaller storage space compared to the traditional method, which saves the whole data set. Another advantage of using this method is that the accumulated rule set is used as a prediction model. Prompt response to the request from users is possible anytime as the rule set is ready anytime to be used to make decisions. This makes real-time decision making possible, which is the greatest advantage of this method. Based on theories of ensemble approaches, combination of many different models can produce better prediction model in performance. The consolidated rule set actually covers all the data set while the traditional sampling approach only covers part of the whole data set. This study uses a stock market data that has a heterogeneous data set as the characteristic of data varies over time. The indexes in stock market data can fluctuate in different situations whenever there is an event influencing the stock market index. Therefore the variance of the values in each variable is large compared to that of the homogeneous data set. Prediction with heterogeneous data set is naturally much more difficult, compared to that of homogeneous data set as it is more difficult to predict in unpredictable situation. This study tests two general mining approaches and compare prediction performances of these two suggested methods with the method we suggest in this study. The first approach is inducing a rule set from the recent data set to predict new data set. The seocnd one is inducing a rule set from all the data which have been accumulated from the beginning every time one has to predict new data set. We found neither of these two is as good as the method of accumulated rule set in its performance. Furthermore, the study shows experiments with different prediction models. The first approach is building a prediction model only with more important rule sets and the second approach is the method using all the rule sets by assigning weights on the rules based on their performance. The second approach shows better performance compared to the first one. The experiments also show that the suggested method in this study can be an efficient approach for mining information and pattern with stream data. This method has a limitation of bounding its application to stock market data. More dynamic real-time steam data set is desirable for the application of this method. There is also another problem in this study. When the number of rules is increasing over time, it has to manage special rules such as redundant rules or conflicting rules efficiently.

• Journal of East-West Nursing Research
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• v.3 no.1
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• pp.27-38
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• 1998

This study was carried out to understand the general conditions about management of hypertension and the differences in opinions between the Eastern-Western Nursing Sciences. In this context, this study was aimed to find out a possible integration of the Eastern-Western Nursing Sciences for the management of hypertension and to suggest a distinct frame of Korean nursing intervention method which is unique for the hypertensive patients by combining two hypertensive management systems originated from the Western type, "mainly classified by stage", and the Eastern type, "typically classified by form" as they are identified in the literature. From the research literature including both domestic and foreign, this study identified that exuberance of Yang of the Liver form mainly appeared to the patient who is at a border hypertension or the first stage of hypertension, Deficiency of Yin of the Liver and Kidneys form mostly appeared to the first stage and the second stage of Hypertension and Deficiency of the both of Yin and Yang form appeared to the third stage of Hypertension. These unifications of the types of Hypertension classified by stages and forms suggest the possibility not only of integration of the Eastern-western Medicine but also of establishment for the intervention of specific nursing management which is the united Eastern-western Nursing Science for the Hypertension. Hence, the new frame for the nursing management of Hypertensive patient is suggested as follows : 1) In case of the exuberance of Yang of the Liver form, as classified by form which is categorized to the border Hypertension or the first stage of Hypertension, nursing intervention should include general therapy, cooking meal and neutral care to restrain the condition of the exuberance of Yang of the liver. 2) In case of the deficiency of Yin of the liver and the Kidneys form, as classified by form which is categorized to the second stage of Hypertension, nursing intervention should include both the general and drug therapy and their use in combination with cooking meal and neural care to restrain the condition of the deficiency of Yin of the Li ver and Kidneys. 3) In case of the deficiency of both of Yin and Yang form, as classified by form which is categorized to he third stage of Hypertension should include both the general therapy and drug therapy and their use in combination with cooking meal and neural care to restrain the condition of deficiency of the both of Yin and Yang. In addition, using this basic frame of Hypertensive management, a specific way of nursing intervention, which is suitable for exuberance of Yang of the Liver form, deficiency of Yin of the Liver and Kidneys form, and deficiency of both of the Yin and Yang form and classified by Korean herbal medicine related to hypertension, should be pursued continuously in the future.

• Journal of Science Education
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• v.39 no.2
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• pp.221-238
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• 2015

The purpose of this study was to analyze the introduced contents and the nature of science on the history of science in elementary school science textbooks according to the 2009 revised curriculum. For this purpose, first of all, the frequency of contents of history of science in 8 kinds of science textbooks in elementary school is analyzed by grade cluster and content part. Analysis framework for analyzing the introduced contents on the history of science was characterized with three-dimensional combination of the context, the role and the types(Park, Lee, & Lee, 2011). Analysis framework for the nature of science on the history of science was developed by Leite(2002) and revised by Choi (2005) and Kim(2010) and complemented under one expert in science education. The results of this study are as follows: First, the frequency of contents of history of science in textbook is 26 and it were not equally distributed into science textbooks in elementary school as a result of the analysis by grade cluster and content part. Second, with three-dimensional combination framework only 13 kinds were used in all 48 different types through analyzing the textbooks. It implies that ways of introducing contents of history of science into textbooks were limited to certain types. Third, the nature elements of science were not equally distributed on the history of science in elementary school science textbooks. In conclusion, in order to understand the nature of science through the history of science and to foster scientific literacy ultimately, it implicates that it is need to present various kinds of the history of science for one theme in consideration about the grade cluster and content part. Also more multilateral approach is need to introduce equally distributed into textbooks to reflect the elements of the nature of science.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2635-2640
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• 2014

Sera of cancer patients may contain antibodies that react with a unique group of autologous cellular antigens called tumor-associated antigens (TAAs). The present study aimed to determine whether a mini-array of multiple TAAs would enhance antibody detection and be a useful approach in esophageal cancer detection and diagnosis. Our mini-array of multiple TAAs consisted of eleven antigens, p53, pl6, Impl, CyclinB1, C-myc, RalA, p62, Survivin, Koc, CyclinD1 and CyclinE full-length recombinant proteins. Enzyme-linked immunosorbent assays (ELISA) were used to detect autoantibodies against eleven selected TAAs in 174 sera from patients with esophageal cancer, as well as 242 sera from normal individuals. In addition, positive results of ELISA were confirmed by Western blotting. In a parallel screening trial, with the successive addition of antigen to a final total of eleven TAAs, there was a stepwise increase in positive antibody reactions. The eleven TAAs were the best parallel combination, and the sensitivity and specificity in diagnosing esophageal cancer was 75.3% and 81.0%, respectively. The positive and negative predictive values were 74.0% and 82.0%, respectively, indicating that the parallel assay of eleven TAAs raised the diagnostic precision significantly. In addition, the levels of antibodies to seven antigens, comprising p53, Impl, C-myc, RalA, p62, Survivin, and CyclinD1, were significantly different in various stages of esophageal cancer, which showed that autoantibodies may be involved in the pathogenesis and progression of esophageal cancer. All in all, this study further supports our previous hypothesis that a combination of antibodies might acquire higher sensitivity for the diagnosis of certain types of cancer. A customized mini-array of multiple carefully-selected TAAs is able to enhance autoantibody detection in the immunodiagnosis of esophageal cancer and autoantibodies to TAAs might be reference indicators of clinical stage.