• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.153-173
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• 2013

The ontology has been gaining increasing interests by recent arise of the semantic web and related technologies. The focus is mostly on inference query processing that requires high-level techniques for storage and searching ontologies efficiently, and it has been actively studied in the area of semantic-based searching. W3C's recommendation is to use RDFS and OWL for representing ontologies. However memory-based editors, inference engines, and triple storages all store ontology as a simple set of triplets. Naturally the performance is limited, especially when a large-scale ontology needs to be processed. A variety of researches on proposing algorithms for efficient inference query processing has been conducted, and many of them are based on using proven relational database technology. However, none of them had been successful in obtaining the complete set of inference results which reflects the five characteristics of the ontology properties. In this paper, we propose a new index structure called hyper cube index to efficiently process inference queries. Our approach is based on an intuition that an index can speed up the query processing when extensive inferencing is required.

• Journal of Navigation and Port Research
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• v.38 no.3
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• pp.247-252
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• 2014

Despite the facts that navigation technology and educational programs were developed, and that maritime law has been enforced strictly, the number of maritime accidents has not dropped significantly. Accident prevention is emphasized because of the extreme life, property, and environmental losses that accompany maritime accidents. Even though there are a variety of preventive activities, their performance is not satisfactory. In order to promote preventive activities and to organize safety management, a Preventive Index of Ship Accident(PISA) and a Preventive Level of Ship Accident(PLSA) which are abstracted from the statistical data of ship accidents (2009~2013) are proposed. The survey module by which these variables can be calculated is composed of preventive domains such as education, engineering, enforcement and information, and is applied for the preventive indexes measurement of cargo, passenger, tanker, tugboat and fishery ships. We compared and analyzed measured result with statistical accident rates and cases to confirm the index utilities. It was found that there is some correlation between the index value and the ship accident rate. It is expected that this index will become useful to evaluate a preventive status for the prevention of ship accidents and for the maritime safety culture.

• Journal of Korea Water Resources Association
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• v.49 no.2
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• pp.95-106
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• 2016

Water Management Resilience Index (WMRI) was developed as a policy measure of adaptability to withstand water stresses and to set up water management strategies mainly in mid-small scale tributaries, and then evaluated on 117 sub-basins in South Korea. The index consists of 3 sub-indices such as vulnerability, robustness and redundancy sub-indices, each including indicators of 3 sectors: water use, flood mitigation, and river environment. Total number of indicators selected for the index was 31. Taking into account the stream order and control capability of river flow discharge, sub-basins were categorized into 3: 1 for mainstreams of lower large dams, 2 and 3 for tributaries, respectively without and with flow discharge regulation. As a result of the evaluation, resilience index scores in Category 2 and 3 are much lower than that of Category 1, especially with very poor score of redundancy. Although there was no significant difference between mainstream and tributaries in vulnerability and robustness sub-indices, results of redundancy sub-index in tributaries were lower than those in mainstream. Thus, it is conceived that the variety of water management schemes should be considered to improve their resilience in the face of future uncertainty. Addressing comprehensive stability of river basin against internal and external impacts, WMRI in this study can also be used for the prioritization of water management plans.

• KIEE International Transactions on Electrophysics and Applications
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• v.4C no.2
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• pp.45-50
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• 2004

The field utilization factor (equation omitted) (the mean electric field / the maximum electric field) of standard sphere gaps was calculated by the charge simulation method, taking into account the ground plane and shanks. n changes mainly with g/r and slightly with 1$_1$, 1$_2$ and 1, where D=2r is the sphere diameter, g is the gap length, 1$_1$ and 1$_2$, respectively, are the lengths of the upper and lower shank, and t is the shank diameter. Generally, (equation omitted) increases as 1$_1$,1$_2$ and t each becomes larger. IEC standard 60052(2002) limits t$\leq$0.2D 1$_1$$\geq$1D and prescribes A=1$_2$＋D＋g where A is the height of the spark point on the upper sphere. Therefore, (equation omitted) is the largest when A=9D and the smallest when A=3D. The simple equation of a straight line, (equation omitted)=1- (g/3r), can generally be used as a representative value of (equation omitted) for a wide variety of sphere diameters that are permitted by the IEC standard. The maximum electric field E$_{m}$ at sparkover of standard air gaps has also been calculated by the relation E$_{m}$=V/(equation omitted)g). E$_{m}$ describes a U-curve for g/r, up to the sphere diameter of 1 m. Moreover, for 1.5-m and 2-m diameters and especially .for negative polarity, sparkover voltages have been calculated by integration of the ionization index.index.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1061-1073
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• 2009

Stock price index option investing is a scientific investment method and various index and investment strategies have been developed. The purpose of this study is to apply the variety of option investment strategies that have been introduced in the market and validate them using past option trading data. Option data was based on an actual stock exchange market tick data ranging from September 2001 to January 2007. Visual Basic is used to propose an option back-testing model. Validation process was carried out by transferring the tick data into ten-minute intervals and empirically analyzed. Furthermore, most option-related strategies have been applied to the model, and the usefulness of each strategies can be easily evaluated. As option investment has high leverage followed by high risks and profit, the optimal option investment strategy should be used according to the market condition at the time to make stable profit with minimum risk.

• Atmosphere
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• v.26 no.4
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• pp.495-508
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• 2016

In order to determine the prediction possibility of heavy rainfall, a variety of analyses was conducted by using three-dimensional data obtained from Korea Local Analysis and Prediction System (KLAPS) re-analysis data. Strong moisture convergence occurring around the time of the heavy rainfall is consistent with the results of previous studies on such continuous production. Heavy rainfall occurred in the cloud system with a thick convective clouds. The moisture convergence, temperature and potential temperature advection showed increase into the heavy rainfall occurrence area. The distribution of integrated liquid water content tended to decrease as rainfall increased and was characterized by accelerated convective instability along with increased buoyant energy. In addition, changes were noted in the various characteristics of instability indices such as K-index (KI), Showalter Stability Index (SSI), and lifted index (LI). The meteorological variables used in the analysis showed clear increases or decreases according to the changes in rainfall amount. These rapid changes as well as the meteorological variables changes are attributed to the surrounding and meteorological conditions. Thus, we verified that heavy rainfall can be predicted according to such increase, decrease, or changes. This study focused on quantitative values and change characteristics of diagnostic variables calculated by using numerical models rather than by focusing on synoptic analysis at the time of the heavy rainfall occurrence, thereby utilizing them as prognostic variables in the study of the predictability of heavy rainfall. These results can contribute to the identification of production and development mechanisms of heavy rainfall and can be used in applied research for prediction of such precipitation. In the analysis of various case studies of heavy rainfall in the future, our study result can be utilized to show the development of the prediction of severe weather.

• The Journal of Korean Physical Therapy
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• v.24 no.6
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• pp.423-427
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• 2012

Purpose: The cerebellum is a region of brain structure that plays an important role in calibrating two different information of neural signal from descending motor commands and from ascending sensory inputs. Damage of the cerebellum shows a variety of classic motor symptoms such as postural and locomotor dysfunctions. Therefore, we tried to investigate motor function and skill in stroke patients with cerebellar lesions in sub-acute stage, and compare with these functions of patients with non-cerebellar lesions. Methods: Total twelve stroke patients with cerebellar lesion and 130 stroke patients with non-cerebellar lesions were retrospectively recruited in this study. For evaluation of motor strength, Motricity index (MI) for upper and lower limbs was tested. For measurement of motor skill function, the modified Brunnstrom classification (MBC), Manual function test (MFT), functional ambulatory category (FAC), and Barthel index were adopted. Results: In comparison of motor strength and motor skill function between two groups, statistical differences between the two groups were significantly observed only in upper MI and FAC. Although no significant differences were found in other variables, stroke patients with cerebellar lesion had higher scores in lower and total MI, MBC, and MFT, whereas they had lower scores in FAC and Barthel index. Conclusion: Our results showed that stroke patients with cerebellar lesion had greater impact on movement functions related to hand motor and walking ability in activities of daily life, compared with patients with non-cerebellar lesion, in spite of similar degree of motor function and skill between the two different lesioned-groups.

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.71-82
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• 2013

Arterial stiffness(AS) is an important pathologic state of vascular injury. This study was carried out to elucidate the effect of physiological variables on brachial-ankle pulse wave velocity(BAPWV), index of AS. Four hundred adults(volunteers) participated in this study. Body indices, biochemical, cardiac and inflammatory markers, and right(Rt)- and left(Lt)-BAPWV were measured. Body mass index(BMI), Rt- and Lt-BAPWV, glucose, triglyceride, alkaline phosphatase(ALP), gamma-glutamyl transferase(GGT), creatinine, uric acid, troponin-I(TNI), NT-proBNP and high sensitivity C-reactive protein(hs-CRP) levels were higher than the reference value of each variable. Rt- and Lt-BAPWV were directly correlated with age, body weight, BMI, glucose, ketone, aspartate aminotransferase, alanine aminotransferase, ALP, GGT, total cholesterol, low density lipoprotein, lipoprotein(a), apolipoprotein-B, blood urea nitrogen, heart rate, TNI, creatine kinase, CK-MB, lactic dehydrogenase, myoglobin, hs-CRP, lipase, reumatoid factor, fibrinogen and D-dimer (P<0.05, P<0.01, P<0.001 or P<0.000, respectively), but inversely associated with total bilirubin, uric acid, apolipoprotein-A1 and GFR (P<0.05). These observations suggest that a variety of physiological variables may influence BAPWV, resulting in increased risk or prevention of cardiovascular and/or cerebrovascular attacks. Therefore, physiological variables affecting BAPWV should be regularly controlled.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.03a
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• pp.863-874
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• 2008

We have to judge engineering properties of rock accurately in order to design and construct rock structure safely and economically. Among the rock tests, the test result of UCS(Uniaxial Compressive Strength) is very important factor used in the variety ways for designing and construction of underground structures, rock slope and foundation analysis. But the UCS test has some disadvantages of intact sample preparation such as because the shape of sample has to be regular cylindrical, cube or rectangular. In order to solve those problem, indirect tests are used such as point load test, schmidt hammer test, absorption test, dry density to predict UCS of rock. Those tests are easy to prepare sample and convenient to carry out the tests, so it is simple and costs less. Schmidt hammer test are frequently used in the construction site, because it is handy and easy to use, but there is concern of misuse without classifying the specification of each schmidt hammer. Thus, this study suggested presumptive numerical formula related on each specification of schmidt hammer test, point load test, absorption test and dry density also. We compared presumptive numerical formula and R-square through schmidt rebound assessment method already brought up. Also, through the test we offer the extent of weathering index according to the weathering grade.

• Spatial Information Research
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• v.21 no.5
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• pp.15-22
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• 2013

The purpose of this work is to investigate correlation between $CO_2$ concentration and NDVI (Normalized Difference Vegetation Index) in North East Asia. Geographically weighted regression techniques were used to evaluate the spatial relationships between GOSAT (Greenhouse Observing SATellite) $CO_2$ measurement and MODIS (Moderate Resolution Imaging Spectroradiometer) vegetation index. The results reveals that $CO_2$ concentration to be negatively associated with NDVI. The analysis of Global Morans' I index and Anselin Local Morasn's I showed spatial autocorrelation between the overall spatial pattern of $CO_2$ and NDVI. Ultimately, there were clustered patterns in both data sets. The results show that carbon dioxide concentration shows non-random distribution patterns in relation to NDVI clusters, which proves that intense development activities such as deforestation are influencing carbon dioxide emission across the area of analysis. However, as the concentration of carbon dioxide varies depending on a variety of factors such as artificial sources, plant respiration, and the absorption and discharge of the ocean, follow-up studies are required to evaluate the correlations among more related variables.