• 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.

• Journal of the Korean Wood Science and Technology
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• v.43 no.6
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• pp.701-713
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• 2015

A model was designed to identify wood species between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. using the near-infrared (NIR) spectroscopy in combination with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). In the PCA using all of the spectra, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could not be classified. In the PCA using the spectrum that has been measured in sapwood, however, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could be identified. In particular, it was clearly classified by sapwood in radial section. And more, these two species could be perfectly identified using PLS-DA prediction model. The best performance in species identification was obtained when the second derivative spectra was used; the prediction accuracy was 100%. For prediction model, the $R_p{^2}$ value was 0.86 and the RMSEP was 0.38 in second derivative spectra. It was verified that the model designed by NIR spectroscopy with PLS-DA is suitable for species identification between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc.

• Journal of the Korean Association of Geographic Information Studies
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• v.1 no.2
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• pp.14-25
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• 1998

The purpose of this paper is to select proposed waste facilities sites after consideration of relative importance of siting factors. From the literature review we have established the siting factors affecting selecting waste facilities sites, and constructed hierarchy of siting factors to evaluate the relative importance of the factors using Analytical Hierarchy Process(AHP). After mail surveying of expert group, we have analyzed the relative importance of siting factors affecting waste facilities. We have constructed Geographic Information System(GIS) of raster type, based on seventeen theme maps of siting factors on waste facilities, to select the proposed waste facilities sites after consideration of the relative importance of the siting factors for Gyongsan city, in Korea. After applying linear combination method, and factor combination method to overcome the methodological limitations of land suitability analysis, we have found five proposed sites, where intersected with proposed sites obtained from the two methods. From this research we have found that 1) methodologically, using GIS for selection of proposed waste facilities sites turned out to be highly useful, 2) application of relative importance of siting factors and two methods of land suitability analysis in selection of proposed waste facilities sites are pertinent enough to provide valid and reliable results, and 3) the research methods and approach employed in this research will be highly useful in site selection of other major facilities.

• Tuberculosis and Respiratory Diseases
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• v.43 no.6
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• pp.1008-1018
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• 1996

Primary mediastinal nonseminomatous germ cell tumor is extremely rare. Apart from rarity and large size, mediastinal germ cell tumors show striking similarity to testicular tumors in age, incidence, and tumor type. The symptoms associated with these tumors are related mainly to size, invasion of neighboring structures, and distant metastases. Tissue diagnosis is obtained by biopsy of the primary lesion or by biopsy of metastatic sites. Tumors often present with advanced bulky disease, which are unresectable. So these tumors require an aggressive multidisciplinary approach to management. Optimal management includes aggressive surgical debulking and early use of cisplatin-bleomycin-based combination chemotherapy. Serial biomarker measurements permit early recognition of recwrence and improved timing of surgical intervention. The prognosis for mediastinal germ cell tumors is poor, not only because they are far advanced at the time of diagnosis but also because some of the tumors-such as embryonal carcinomas, choriocarcinomas, and endodermal sinus tumors-are very aggressive. In these cases, we present three young male patients with large mass on anterior mediastinum. Tissue diagnosis was obtained by primary lesion biopsy. All patients received surgical debulking and combination chemotherapy and experienced a brief response and eventually had relapses. We report these cases with a review of literatures.

• Journal of Dental Rehabilitation and Applied Science
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• v.16 no.2
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• pp.133-147
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• 2000

A well-planned, precise occlusal adjustment of natural teeth has some distinct advantages over other forms of occlusal therapy. It should be emphasized, however, that an occlusal adjustment is an irreversible procedure and has definite contraindications in some mouths. Generally, the treatment methods for the patients that has open-bite will be following as below. : (1) Use of removable orthopedic repositioning appliance, (2) Orthodontics, (3) Full or partial reconstruction of the dentition, (4) Orthognathic surgical procedure, (5) Occlusal adjustment of the existing natural teeth, (6) Any combination of the above. Above all, the advantages of occlusal adjustment of natural teeth are : (1) the patient is more able to adapt to the changes in jaw position and posture; (2) the phonetic or speaking ability of the patient is not significantly changed and usually is improved; (3) the esthetics of the natural teeth is not altered and often is better; (4) the hygiene of the individual teeth is easily maintained; and (5) the functional usage of the teeth as cutting and chewing devices is markedly improved. The objective of an occlusal adjustment, as with any form of occlusal therapy, is to correct or remove the occlusal interferences, or premature contacts, on the occluding parts of the teeth which prevent a centric relation closure of the mandible. A systematic, disciplined approach can be followed in treatment, the objectives should be listed. They are : (1) Centric relation occlusion of the posterior teeth. (2) Proper "coupling" of the anterior teeth. (3) An acceptable disclusive angle of the anterior teeth in harmony with the condylar movement patterns. (4) Stability of the corrected occlusion. (5) Resolution of the related symptoms. For the patient with open-bite on anterior and posterior teeth, this case report shows the treatment methods in combination the fixed prosthesis with the selective cutting of the natural teeth. Occlusal adjustment is no longer an elective procedure but a mandatory one for patients requiring restorations and those in treatment for TMD dysfunctions or those whose dentitions show signs of occlusal trauma. Occlusal adjustment is essential for all who do not display the above lists.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.6
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• pp.503-513
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• 2005

With the recognition of the importance of computational approach for protein-protein interaction prediction, many techniques have been developed to computationally predict protein-protein interactions. However, few techniques are actually implemented and announced in service form for general users to readily access and use the techniques. In this paper, we design and implement a protein interaction prediction service system based on the domain combination based protein-protein interaction prediction technique, which is known to show superior accuracy to other conventional computational protein-protein interaction prediction methods. In the prediction accuracy test of the method, high sensitivity($77\%$) and specificity($95\%$) are achieved for test protein pairs containing common domains with teaming sets of proteins in a Yeast. The stability of the method is also manifested through the testing over DIP CORE, HMS-PCI, and TAP data. Performance, openness and flexibility are the major design goals and they are achieved by adopting parallel execution techniques, web Services standards, and layered architecture respectively. In this paper, several representative user interfaces of the system are also introduced with comprehensive usage guides.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.88-103
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• 2023

With the recent advancement of 4th Industrial Revolution technology, transportation systems are generating large amounts of mobility data related to the individual movement trajectories of vehicles and people. There are many constraints on utilizing mobility data containing personal information. Thus, in South Korea, the processing and generation of pseudonymized information and the analysis and utilization of this information have been managed in a dual manner by applying separate agencies and technologies through the revision of the Data 3 Act and the enactment of the Data Basic Act. However, this dual approach fails to securely support the entire data lifecycle and suffers from inefficiencies in terms of processing time and cost. Therefore, to compensate for the problems of the existing Expert Data Combination System and Data Safety Zone, this study proposes an Integrated Data Safety Zone Framework that integrates and unifies the process of generating, processing, analyzing, and utilizing mobility data. The integrated process for data processing was redesigned, and common requirements and core technologies were derived. The result is an architecture for a next-generation Integrated Data Safety Zone system that can manage and utilize the entire life cycle of mobility data at one stop.