• Korean Journal of Soil Science and Fertilizer
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• v.16 no.4
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• pp.294-300
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• 1983

This study was aimed at finding out the effect of soil conditioners on soil structural properties, soil water movements and soil losses. Sandy loam and silt loam soils were treated with two different kinds of soil conditioners, hydrophobic Bitumen 0.4% or hydrophilic Uresol 0.6%, and then various physical characteristics of the treated and untreated aggregates were determined. The results are summarized as follows: 1. By the soil conditioner treatment, Bitumen 0.4% or Uresol 0.6%, the aggregate stability was increased to 1.650-3.450 as compared to 0.275-0.417 of untreated soil and the sedimented bulk density was decreased. 2. Air-water permeability ratio of sandy loam was decreased to 2.2 by Uresol treatment as compared to untreated soil 3.8. In case of silt loam, it was decreased to 6.9 and 5.3 by Bitumen and Uresol treatment as compared to untreated 9.4, and water permeability of treated soil continued high value for 40 days. 3. Air-water permeability ratio was sharply enhanced as the structure instability index increased, but the ratio increased very smoothy after the index over 1. 4. The soil moisture retention was increased 2 to 6% by Uresol treatment, but it was decreased 1 to 3% by Bitumen treatment.

• Journal of the Korean earth science society
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• v.28 no.2
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• pp.214-226
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• 2007

Because precipitation is influenced by various atmospheric variables, it is highly nonlinear. Although precipitation predicted by a dynamic model can be corrected by using a nonlinear Artificial Neural Network, this approach has limits such as choices of the initial weight, local minima and the number of neurons, etc. In the present paper, we correct simulated precipitation by using a multiple linear regression (MLR) method, which is simple and widely used. First of all, Ensemble hindcast is conducted by the PNU/CME Coupled General Circulation Model (CGCM) (Park and Ahn, 2004) for the period from April to August in 1979-2005. MLR is applied to precipitation simulated by PNU/CME CGCM for the months of June (lead 2), July (lead 3), August (lead 4) and seasonal mean JJA (from June to August) of the Northeast Asian region including the Korean Peninsula $(110^{\circ}-145^{\circ}E,\;25-55^{\circ}N)$. We build the MLR model using a linear relationship between observed precipitation and the hindcasted results from the PNU/CME CGCM. The predictor variables selected from CGCM are precipitation, 500 hPa vertical velocity, 200 hPa divergence, surface air temperature and others. After performing a leave-oneout cross validation, the results are compared with the PNU/CME CGCM's. The results including Heidke skill scores demonstrate that the MLR corrected results have better forecasts than the direct CGCM result for rainfall.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.370-377
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• 2013

Traumatic brain injury(TBI) is a brain damage caused by an external physical force. TBI patients have disturbances of functioning including attention, memory, reasoning,, executive function, and pragmatic language. The aim of this study was to develop the cognitive-pragmatic language ability assessment protocol for traumatic brain injury(CAPTBI) and to evaluate reliability and validity. This study was also conducted to investigate domains that contributed to differentiate between the normal and TBI groups. The CAPTBI data were obtained from 226 normal adults and 62 TBI patients(mean age=$43.95{\pm}11.92$, $46.37{\pm}11.87$, M:F=110:116, 48:14). The CAPTBI had high item internal consistency, test-retest reliability, construct validity, and concurrent validity. The normal group performed significantly better than the TBI group in all domains of the CAPTBI and the separate scores for 9 domains. All 9 domains were found to be significant variables to discriminate between the two groups. The most powerful variable was executive function followed by memory, organization, pragmatic language, problem-solving, attention, orientation, reasoning, and visuoperception in order. The CAPTBI could discriminate between the two groups accurately by 95.5%. This result demonstrated that 97.3% of normal adults and 88.7% of TBI patients could be discriminated by CAPTBI. In conclusion, The CAPTBI is appropriate for evaluating and identifying cognitive-pragmatic language disorders in TBI patients.

• Journal of Korean Society of Forest Science
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• v.97 no.6
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• pp.656-660
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• 2008

This study is carried out to minimize the damage to the forest road when locating strip roads in the future for stability of timberland after afforestation by assessing the factors that affect the damage on the forest road surface and making appropriate constructing standards. Major factors that influence damage to the strip road surface were location, longitudinal gradients, soil types, cross-section shape in order of influence on damage. it is considered that structural road factors like longitudinal gradients, road width, location factors such as construction location, slope gradients and road material like soil types were greatly related to occurrence of road surface damage. Damage occurrences in the forest road were severe at the valley, longitudinal gradients of over 24%, weathered granite soil, concave of road position, road width of over 3.0 m. stability was high at longitudinal gradients of 4~24%, road width of under 3.0 m, ridge of road position, straight slope, soil materials. The evaluation table of damage possibility on forest road was manufactured by discriminant analysis using Quantification theory(II). The results showed that the discriminant ratios was 79.4% and this table was available for forest manager.

• Journal of Korean Society of Forest Science
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• v.97 no.4
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• pp.437-444
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• 2008

This study has intended to evaluate the forest recreation functions to seek methods to designate the recreational areas inside a recreation forest. This study has Mt. Chung-ok in Korea as a study area to which Quantification method II as a valuation measure was applied. This study also has chosen a degree of recreational utility as an external criterion and six factors including Forest type, Forest age, Slope, Riparian area, Road, and Facility for the 173 stands in this area. As a result, absolute discriminated success rate was obtained, so that the first and second estimated correlation ratios were 82% and 74%, respectively. Road and Slope had great influences on the potential power of recreational functions. In the category, recreational function was more influenced by the existence of road and the lower degree of slope. Also, this study has drawn an evaluation map, which displayed the potential power of recreational functions by classifying three discrimination points such as H(High), M(Medium), and L(Low) through calculating the degree of recreational utility of the recreation forest for the stands by applying an estimation formula of recreational function in the stands. This study seems to be worthwhile in terms of actual, experimental, and intuitive interpretation for the degree of recreational utility calculated by using Quantification method theory.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.211-234
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• 2007

In e-business, XML is a major format of data and it is essential to efficiently process queries against XML data. XML query caching has received much attention for query performance improvement. In employing XML query caching, some efficient technique of cache replacement is required. The previous techniques considered as a replacement unit either the whole query result or the path in the query result. The former is simple to employ but it is not efficient whereas the latter is more efficient and yet the size difference among the potential victims is large, and thus, efficiency of caching would be limited. In this paper, we propose a new technique where the element in the query result is are placement unit to overcome the limitations of the previous techniques. The proposed technique could enhance the cache efficiency to a great extent because it would not pick a victim whose size is too large to store a new cached item, the variance in the size of victims would be small, and the unused space of the cache storage would be small. A technique of XML semantic cache replacement is presented which is based on the replacement function that takes into account cache hit ratio, last access time, fetch time, size of XML semantic region, size of element in XML semantic region, etc. We implemented a prototype XML semantic cache system that employs the proposed technique, and conducted a detailed set of experiments over a LAN environment. The experimental results showed that our proposed technique outperformed the previous ones.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.12
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• pp.708-713
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• 2003

For many years clustered heterogeneous web server architecture has been formed on the internet because the explosive internet services and the various quality of requests. The critical point in cluster environment is the mapping schemes of request to server. and recently this is the main issue of internet architecture. The topic of previous mapping methods is to assign equal loads to servers in cluster using the number of requests. But recent growth of various services makes it hard to depend on simple load balancing to satisfy appropriate latency. So mapping based on requested content to decrease response time and to increase cache hit rates on entire servers - so called “content-based” mapping is highly valuated on the internet recently. This paper proposes Prioritized Highest Random Weight mapping(PHRW mapping) that improves content-based mapping to properly fit in the heterogeneous environment. This mapping scheme that assigns requests to the servers with priority, is very effective on heterogeneous web server cluster, especially effective on decreasing latency of reactive data service which has limit on latency. This paper have proved through algorithm and simulation that proposed PHRW mapping show higher-performance by decrease in latency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.630-636
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• 2016

The main purpose of this study was to verify if irrational belief of gambling, impulsiveness, and smartphone addiction could discriminate adolescents' gambling addiction (addiction risk group, non-addicted group). To this end, a survey was performed targeting 1,420 middle and high school students living in Jeju. In order to examine the differences between irrational belief of gambling, impulsiveness, and smartphone addiction according to gambling addiction, independent sample t-test was conducted, and to determine if irrational belief of gambling, impulsiveness, and smartphone addiction could discriminate gambling addiction, discriminant analysis was conducted. As a result, first, there were significant differences between irrational belief of gambling, impulsiveness, and smartphone addiction according to adolescents' gambling addiction, and all the variables were significantly higher in the addiction risk group than in the non-addicted group. Second, irrational belief of gambling, impulsiveness, and smartphone addiction were important explanatory variables to discriminate between the addiction risk group and the non-addicted group. In addition, as a result of examining the relative importance of the variables, irrational belief of gambling was the most important, followed by impulsiveness and smartphone addiction. Third, a discriminant function consisting of irrational belief of gambling, impulsiveness, and smartphone addiction showed a 62.5% hit ratio. This study specified the determinant factors of gambling addiction, and has presented meaningful basic data for developing programs to prevent adolescents' gambling addiction in the future.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.11_12
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• pp.541-556
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• 2005

The memory access latency of the system has been a primary factor of performance degradation in single-processor system and multi-processor system. The remote memory access latency takes a lot of overhead over the local memory access latency especially in the distributed shared-memory system. To resolve this problem, the multi-level cache architecture that contains a remote cache in the multi-processor system has been proposed. In this paper, we propose a new cache replacement policy that improves the performance of the multi-processor system with the remote cache. If the multi-level cache keeps the multi-level inclusion(MLI) property and uses the LRU(Least Recently Used) cache replacement policy, the LRU information of the higher-level cache(a processor cache) would be different with that of the lower-level cache(a remote cache). In this situation, the replacement of a remote cache line can induce the exchange of a processor cache line that is used by the processor. It is a main factor of performance degradation in a whole system. To alleviate this disadvantage of the LRU replacement polity, the new policy analyses tht processor's remote memory access pattern of each node and uses this information to reduce the number of invalidations of the useful cache line in the higher-level cache. The new replacement policy of the remote cache can improve the performance by $3.5\%$ in maximum and $2.5\%$ in average on SPLASH-2 benchmarks, compared to the general LRU cache replacement policy.

• Journal of KIISE:Databases
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• v.27 no.1
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• pp.53-63
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• 2000

The mobile computing service market is increasing rapidly due to the development of low-cost wireless network technology and the high-performance mobile computing devices. In recent years, several methods have been proposed to effectively deal with restrictions of the mobile computing environment such as limited bandwidth, frequent disconnection and short-lived batteries. Amongst those methods, much study is being done on the caching method - among the data transmitted from a mobile support station, it selects those that are likely to be accessed in the near future and stores them in the local cache of a mobile host. Existing cache replacement methods have some limitations in efficiency because they do not take into consideration the characteristics of user mobility and spatial attributes of geographical data. In this paper, we show that the value and the semantic of the data, which are stored in the cache of a mobile host, changes according to the movement of the mobile host. We argue it is because data that are geographically near are better suited to provide an answer to a users query in the mobile environment. Also, we define spatial location of geographical data has effect on, using the spatial attributes of data. Finally, we propose two new cache replacement methods that efficiently support user mobility and spatial attributes of data. One is based on the location of data and the other on the meaningful region of data. From the comparative analysis of the previous methods and that they improve the cache hit ratio. Also we show that performance varies according to data density using this, we argue different cache replacement methods are required for regions with varying density of data.