• Journal of Ginseng Research
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• v.33 no.3
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• pp.234-239
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• 2009

This study aims to establish the directions for the optimal nutrient contents determined by soil and leaf analyses. The study is to be used as a source for basic information in investigating the effects of nutritional environment on ginseng growth at the fields of Ansung region in Gyeonggi province. The physical property of soil porosity is closely related to ginseng growth, with more than 50% of good growth in the field. The optimal range of chemical properties in soil was analyzed as 0.20-0.28% T-N, 500-900 mg/kg Av.P$_2$O$_5$, and 2.3-3.5 cmol$^+$/kg Exch.Ca. The optimal range of inorganic nutrient contents in leaves was also analyzed. P value was less than 0.25%, and Mg was more than 0.22%. Other elements were not found clearly. The ratios of N/P, N/Mg, K/Mg, and Ca/P of leaves with good growth in the field showed 10<, 10-13, <14, 1<, respectively. In addition, the Ca:Mg:K ratio of the Exch.cation (cmol$^+$/kg) may be useful as an indicator in the assessment of plant growth in ginseng.

• Journal of the Optical Society of Korea
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• v.18 no.4
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• pp.317-329
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• 2014

In vision measurement systems based on structured light, the key point of detection precision is to determine accurately the central position of the projected laser line in the image. The purpose of this research is to extract laser line centers based on a decision function generated to distinguish the real centers from candidate points with a high recognition rate. First, preprocessing of an image adopting a difference image method is conducted to realize image segmentation of the laser line. Second, the feature points in an integral pixel level are selected as the initiating light line centers by the eigenvalues of the Hessian matrix. Third, according to the light intensity distribution of a laser line obeying a Gaussian distribution in transverse section and a constant distribution in longitudinal section, a normalized model of Hessian matrix eigenvalues for the candidate centers of the laser line is presented to balance reasonably the two eigenvalues that indicate the variation tendencies of the second-order partial derivatives of the Gaussian function and constant function, respectively. The proposed model integrates a Gaussian recognition function and a sinusoidal recognition function. The Gaussian recognition function estimates the characteristic that one eigenvalue approaches zero, and enhances the sensitivity of the decision function to that characteristic, which corresponds to the longitudinal direction of the laser line. The sinusoidal recognition function evaluates the feature that the other eigenvalue is negative with a large absolute value, making the decision function more sensitive to that feature, which is related to the transverse direction of the laser line. In the proposed model the decision function is weighted for higher values to the real centers synthetically, considering the properties in the longitudinal and transverse directions of the laser line. Moreover, this method provides a decision value from 0 to 1 for arbitrary candidate centers, which yields a normalized measure for different laser lines in different images. The normalized results of pixels close to 1 are determined to be the real centers by progressive scanning of the image columns. Finally, the zero point of a second-order Taylor expansion in the eigenvector's direction is employed to refine further the extraction results of the central points at the subpixel level. The experimental results show that the method based on this normalization model accurately extracts the coordinates of laser line centers and obtains a higher recognition rate in two group experiments.

• Journal of Korea Spatial Information System Society
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• v.10 no.2
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• pp.63-79
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• 2008

With the recent development of advanced GIS and complex spatial analysis technologies, the more sophisticated technologies are being required to support the advanced knowledge for solving geographical or spatial problems in various decision support systems. In addition, necessity for research on scientific crime investigation and forensic science is increasing particularly at law enforcement agencies and investigation institutions for efficient investigation and the prevention of crimes. There are active researches on geographic profiling to predict the base location such as criminals' residence by analyzing the spatial patterns of serial crimes. However, as previous researches on geographic profiling use simply statistical methods for spatial pattern analysis and do not apply a variety of spatial and temporal analysis technologies on serial crimes, they have the low prediction accuracy. Therefore, this paper identifies the typology the spatio-temporal patterns of serial crimes according to spatial distribution of crime sites and temporal distribution on occurrence of crimes and proposes STA-BLP(Spatio-Temporal Analysis based Base Location Prediction) algorithm which predicts the base location of serial crimes more accurately based on the patterns. STA-BLP improves the prediction accuracy by considering of the anisotropic pattern of serial crimes committed by criminals who prefer specific directions on a crime trip and the learning effect of criminals through repeated movement along the same route. In addition, it can predict base location more accurately in the serial crimes from multiple bases with the local prediction for some crime sites included in a cluster and the global prediction for all crime sites. Through a variety of experiments, we proved the superiority of the STA-BLP by comparing it with previous algorithms in terms of prediction accuracy.

• Physical Therapy Korea
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• v.17 no.2
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• pp.1-9
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• 2010

To develop effective training methods for strengthening a weakened quadriceps femoris muscle in hemiplegic patients, we examined the effects of maximal isometric contraction of the nonparalyzed knee joint on the electromyographic activities of the paralytic muscle. An electromyogram (EMG) was used to record the electromyographic activities of the paralytic quadriceps femoris muscle in 27 hemiplegic patients. The maximal isometric contraction was measured for each subject to normalize the electromyographic activities. The maximal isometric extension and flexion exercises were randomly conducted when the knee joint angles of the nonparalyzed knees were $0^{\circ}$, $45^{\circ}$, and $90^{\circ}$. The patients were encouraged to maintain maximal isometric contractions in both knee joints during each measurement, and three measurements were taken. A one-minute rest interval was given between each measurement to minimize the effects of muscle fatigue. An average from the three values was taken as being the root mean square of the EMG and was recorded as being the maximal isometric contraction. The electromyographic activity obtained for each measurement was expressed as a percentage of the reference voluntary contraction, which was determined using the values obtained during the maximal isometric contraction. The results of this study are summarized as follows: First, when the knee joint angle of the nonparalyzed knee was $0^{\circ}$, the electromyographic activities of the paralytic medial aspect of rectus femoris were related to measurement by a maximal isometric flexion exercise than by an extension exercise (p<.05). Second, when the knee joint angle of the nonparalyzed knee was $90^{\circ}$, the electromyographic activities of the paralytic lateral aspect of rectus femoris were related to measurement by a maximal isometric flexion exercise than by an extension exercise (p<.05). The results show that myoelectrical activities of paralytic quardriceps were not related to measurement angles and exercise directions of the nonparalized knee joint. Studies on various indirect intervention to improve muscular strength of patients with nervous system disorders of the weakened muscle should be constantly conducted.

• Physical Therapy Korea
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• v.25 no.4
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• pp.9-18
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• 2018

Background: Leg length discrepancy (LLD) leads to many musculoskeletal disorders and affects daily activities such as walking. In the majority of the population, mild LLD is a common condition. Nevertheless, it is still controversy among researchers and clinicians on the effects of mild LLD during gait, and available studies have largely overlooked this issue. Objects: The purpose of the present study is to investigate the effects of mild LLD on the gait parameters and trunk acceleration. Methods: A total of 15 female and male participants with no evidence of LLD of >.5 ㎝ participated in the present study. All participants walked under the following two conditions: (1) The non-LLD condition, where the participants walked in shoes of the same heel height; (2) A mild LLD condition induced by wearing a 1.5 ㎝ higher heel on the right shoe. The GAITRite system and tri-axial accelerometer were used to measure gait parameters and trunk acceleration. To compare the variation of each variable, a paired t-test was performed. Results: Compared to the non-LLD condition, step time and swing phase were significantly increased in the mild LLD condition, while stance phase, single support phase, and double support phase significantly decreased in the short limb (p<.05). In the long limb of the mild LLD condition, single support phase significantly increased, while swing phase significantly decreased (p<.05). Furthermore, significant decrease in the gait velocity and cadence in the mild LLD condition were observed (p<.05). In the comparison between both limbs in the mild LLD condition, the step time and swing phase of the short limb significantly increased compared with the long limb, while step length, stance phase, and single support phase of the long limb significantly increased compared with the short limb (p<.05). Additionally, trunk acceleration of all directions (anterior-posterior, medial-lateral, vertical) significantly increased in the mild LLD condition (p<.05). Conclusion: The results of the present study demonstrate that mild LLD causes altered and asymmetrical gait patterns and affects the trunk, resulting in inefficient gait. Therefore, mild LLD should not be overlooked and requires adequate treatment.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.4
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• pp.446-456
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• 2014

Purpose: Purpose: This study was undertaken to develop directions for research on nursing practice education and also for standardization of contents of Fundamental Nursing Practice (FNP) by identifying and analyzing the present content and inconsistency in FNP textbooks. Method: Eleven FNP textbooks published between 2007 and 2013 were selected and itemized nursing contents were compared and analyzed. Nursing professors and practicingnurses prioritized contents identified from an actual condition survey based on theoretical reason and clinical guides for each item. Results: Inconsistencies were found for 34 domains with 219 sub items and of them, 21 domains and 84 items needed to be standardized. Number of items that showed consistency between professors and nurses ($ICC{\geq}.800$) was 29 (34.5%) and for complete consistency (ICC=1), 4 (4.8%). Number of items that showed inconsistency between the groups (ICC<.600) was 30 (35.7%) and very low consistency (ICC=0), 10 (11.9%). Conclusion: The results indicate a difference between understood validity of content by professors and by nurses and technical differences among FNP textbooks. Therefore confirmation of the items needing to be standardized and differences in understanding content by professors and by nurses shows a need for standardization of practice education between course and clinical practice. These results provide basic data for developing standardized form of FNP education.

• Journal of the Korea Concrete Institute
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• v.25 no.6
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• pp.683-691
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• 2013

Failure behaviour of deep beams is largely depend on shear span to effective depth ratio(a/d). For deep beams with $a/d{\leq}1.0$, the diagonal splitting of the web and local crushing of concrete near applied loads or supports is the most common failure mode. If the beam contains sufficient web reinforcement, area of local crushing will be increased while area of diagonal splitting is decreased. When web reinforcement above purpose, web should be reinforced both in the horizontal and vertical directions or be reinforced in perpendicular direction to diagonal cracks. For deep beams with 1.0${\leq}2.5$, the increment of shear strength by the horizontal web reinforcement are hardly expected unless amount of main bars very small that the main bars should be reached yielding state when shear failure occurs. In contrast, the vertical web reinforcement prevent the beam from being transferred to tied arch mechanism, and as a result th shear strength of beam increase. In this study, formulas based on upper bound theorem of plastic theory are proposed to predict the shear strength of reinforced concrete deep beams with $a/d{\leq}1.0$. Comparisons with other experiment results are performed, and good agreement between measured and predicted value by proposed formulas is obtained.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1105-1115
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• 2015

Big data analysis for disaster have been recently started especially to text data such as social media. Social data usually supports for the final two stages of disaster management, which consists of four stages: prevention, preparation, response and recovery. Otherwise, big data analysis for meteorologic data can contribute to the prevention and preparation. This motivated us to review big data technologies dealing with non-text data rather than text in natural disaster area. To this end, we first explain the main keywords, big data, data mining and machine learning in sec. 2. Then we introduce the state-of-the-art machine learning techniques in meteorology-related field sec. 3. We show how the traditional machine learning techniques have been adapted for climatic data by taking into account the domain specificity. The application of these techniques in natural disaster response are then introduced (sec. 4), and we finally conclude with several future research directions.

• Journal of the Korean Geographical Society
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• v.39 no.5 s.104
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• pp.735-754
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• 2004

This paper provides an overview of political ecology, a body of theory that focuses on the links between political and economic inequality on the one hand, and environmental degradation on the other. Adopting a tripartite classification scheme that identifies three political ecology traditions -'classical', 'democratic' and 'poststructuralist'- the discussion shows the need for a move within the poststructuralist tradition away from a narrow and quasi-idealistic focus on discourse to a more robust philosophical engagement with ontological and epistemological issues grounded in Gilles Deleuze's development of Nietzschean materialism. From there. the author draws on numerous examples from Canada, and surveys the available literature on 'bioregionalism', a relatively new intellectual tradition evolved from the North American environmental social movements of the 1970s and 1980s. The so-called 'bioregional approach' stresses that administrative units need to reflect (rather than transect) eco-geographical and cultural features. Bioregionalism is described and assessed as a potential pragmatic research framework for geographers and other planners wishing to respond proactively to the call for a revamped, poststructuralist political ecology. The paper concludes that a bioregional approach to political ecology avoids the weaknesses identified by certain critics, provides scope for consideration of fundamental philosophical ideas, and as such, represents a practical development of a poststructuralist political ecology.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.39-49
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• 2016

As university students' job seeking stress and entrepreneurial intentions increase, the importance of variable research that can be applied to both concepts. However, recent studies researchers looked at only the influence variables in each concept. So they thought about the difference between entrepreneurship and employment. To solve these problems in this study was to verify the moderating effects of core-self evaluation in the relationship between entrepreneurial self-efficacy and entrepreneurial intention, job-seeking stress of university students. The data of 349 university students in korea were collected for the study. The collected data were analyzed with multi-regression modeling. All data collected from the survey were analyzed using with SPSS 21.0 The findings of the study were as follows. First, results showed that entrepreneurial self-efficacy affect entrepreneurial intention directly. Second, core-self evaluation affect job-seeking stress of university students. Finally, it was also found that there was moderating effect of core-self evaluation in relationship between entrepreneurial self-efficacy and job-seeking stress of university students. On the other hand it was found there was no moderating effect of core-self evaluation in relationship between entrepreneurial self-efficacy and entrepreneurial intention. Based on what has been learned through the analyses, The results of this study suggest that an educational system and institutional are needed to increase entrepreneurial efficacy. And It can be seen that the recognition of core self-evaluation is effective for the job seeking stress. Also, the implications and the limitations of the study were presented including some directions for future studies.