• 재활복지
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• v.18 no.4
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• pp.237-255
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• 2014

Idiopathic Parkinson disease(IPD) is an neurodegenerative disease caused by the loss of dopamine cells in the substantia nigra, a region of midbrain. Its major symptoms are muscular rigidity, bradykinesia, resting tremor, and postural instability. An estimated 70~90% of patients with IPD also have hypokinetic dysarthria. Subthalamic nucleus deep brain stimulation (STN-DBS) has been reported to be successful in relieving the core motor symptoms of IPD in the advanced stages of the disease. However, data on the effects of STN-DBS on speech performance are inconsistent. A medline literature search was done to retrieve articles published from 1987 to 2012. The results were narrowed down to focus on speech performance under STN-DBS based perceptual, acoustic, and/or aerodynamic analyses. Among the 32 publications which dealt with speech performance after STN-DBS indicated improvement(42%), deterioration(29%), mixed results(26%), or no change(3%). The most favorite method was found to be based upon acoustic analysis by using a vowel prolongation and Unified Parkinson's Disease Rating Scale(UPDRS). For the purpose of verifying the effect of the STN-DBS, speech evaluation should be undertaken on all speech components such as articulation, resonance, phonation, respiration, and prosody by using a contextual speech task.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.248-258
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• 2021

The study analyzed the financial determinants of corporate R&D intensity that require more attention from academics and practitioners in the Korean capital market. Domestic small and medium enterprises (SMEs) may face with developing substitutes by making more R&D investments in scale and scope, given the unprecedented economic conditions such as the limitation of importing core components and materials from other nation(s). KOSDAQ-listed SMEs were selected as sample data, whose R&D expenditures may be less than those of large firms during the post-global financial turmoil period (2010~2018). Static panel data model was applied, along with Tobit and stepwise regression models, for examining the validity of results. Logit, probit, and complementary log-log regressions were also employed for a relative analysis. R&D expenditures in the prior year, the interaction effect between the previous R&D intensity and high-tech sector, firm size, and growth rate were significant to determine R&D intensity. Moreover, a majority of explanatory variables were found to change between the years 2011 and 2018, while time-lagged effects between the R&D intensity and growth rate exist. Results of the study are expected to be used for future research to detect optimal levels of R&D expenditures for the value maximization of SMEs.

• Journal of Life Science
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• v.32 no.6
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• pp.455-462
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• 2022

This study examined changes in the body composition of Protaetia brevitarsis larvae fed sulfur and selenium. Among the general chemical components, an increase in protein was observed in the sulfur-fed group, whereas an increase in fatty acid was found in the groups fed selenium and sulfur/selenium. The structural amino acid showed some tendency to be increased compared to the control group, but this was especially true in the sulfur-fed group. The free amino acid were increased in the groups fed selenium and sulfur/selenium, with GABA, Glu, and Pro, in particular, being increased in the group fed sulfur/selenium. Among the essential amino acids, Met, Trp, and Val tended to be increased in selenium and sulfur/selenium groups. Saturated and polyunsaturated fatty acids showed a tendency to increase in the group fed sulfur/selenium, but monounsaturated fatty acid tended to be decreased in the group. In particular, no oleic acid was detected in the sulfur/selenium group, whereas palmitic acid, palmitoleic acid, and linoleic acid were increased. From observations of these body composition changes associated with the feeding of sulfur and selenium, it is estimated that the group fed sulfur/selenium would likely undergo a pronounced change in body composition. Therefore, we suggest that it is possible to manufacture a food that has enhanced functionality by appropriately adjusting the diet of Protaetia brevitarsis larvae.

• KDI Journal of Economic Policy
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• v.14 no.1
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• pp.121-145
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• 1992

This paper examines characteristics of time series data related to the construction investment(stationarity and time series components such as secular trend, cyclical fluctuation, seasonal variation, and random change) and surveys predictibility, fitness, and explicability of independent variables of various models to build a short-term construction investment forecasting model suitable for current economic circumstances. Unit root test, autocorrelation coefficient and spectral density function analysis show that related time series data do not have unit roots, fluctuate cyclically, and are largely explicated by lagged variables. Moreover it is very important for the short-term construction investment forecasting to grasp time lag relation between construction investment series and leading indicators such as building construction permits and value of construction orders received. In chapter 3, we explicate 7 forecasting models; Univariate time series model (ARIMA and multiplicative linear trend model), multivariate time series model using leading indicators (1st order autoregressive model, vector autoregressive model and error correction model) and multivariate time series model using National Accounts data (simple reduced form model disconnected from simultaneous macroeconomic model and VAR model). These models are examined by 4 statistical tools that are average absolute error, root mean square error, adjusted coefficient of determination, and Durbin-Watson statistic. This analysis proves two facts. First, multivariate models are more suitable than univariate models in the point that forecasting error of multivariate models tend to decrease in contrast to the case of latter. Second, VAR model is superior than any other multivariate models; average absolute prediction error and root mean square error of VAR model are quitely low and adjusted coefficient of determination is higher. This conclusion is reasonable when we consider current construction investment has sustained overheating growth more than secular trend.

• Journal of the Korean Society of Food Culture
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• v.27 no.4
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• pp.407-413
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• 2012

In previous studies, we performed joint animal studies and clinical trials between Yonsei University and Oryza Oil & Fat Chemical Co. Ltd. We have shown that coffee bean extract has potent anti-obesity and hypotriglyceridemic activities as well as beneficial effects on body fat reduction.In this study, the effects of coffee bean extract (100 mg/capsule) on body fat reduction were evaluated in overweight/obese women (body mass index of 25~30 $kg/m^2$ or body fat > 30%) not diagnosed with any type of disease. Subjects were randomly assigned to a coffee bean extract group (n=10) or placebo group (n=10). We measured anthropometric parameters, abdominal fat distribution by computed tomography and blood components before and after the 8week intervention period. After supplementation, the coffee bean extract group showed body weight (p=0.08), body mass index (p=0.06), hip circumference (p<0.05), and upper waist circumference (p< 0.01). In addition, after 8 weeks, the coffee bean extract group showed a significant decrease in abdominal internal fat area compared to 0 weeks (0 weeks : $155.8cm^2$; 8 weeks : $145.9cm^2$, ${\Delta}$ change : $-9.9cm^2$, respectively). However, there were no significant differences in lipid profiles or serological measurements between the coffee bean extract group and placebo group. The results of our human study demonstrated that coffee bean extract supplementation for 8 weeks has beneficial effects on reducing abdominal internal fat area as well as hip and waist circumferences.

• Cartoon and Animation Studies
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• s.34
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• pp.81-104
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• 2014

Self-reflexivity means consciousness turning back on itself and breaks with art as illusionism and exposes their own factitiousness as textual construct. Self-reflexivity in media deals with the media's condition and process itself and tends to pull viewers out of the reality represented on screen by reminding them that is a media's construction or illusion on the screen. Representation aesthetics has been recognized with an essential theory of the art since Ancient Greek, but it has encountered crisis with the invention of the photography and the cinema in the early 1900s. The supreme transparency of the new media induced a new perspective for the representation aesthetics, which had dominated the art world. The art derived from the representation stood on the crossroad of changing direction. Modernism aesthetics wanted to search for the self-referentiality in order to the replace the past principal. This essay focuses on self-reflexivity in animation and their methodology. First, the change of representation aesthetics in visual arts will be discussed. Second, animations exposing their process of production and components will be analyzed, and lastly, intertextuality in animation will be dealt. I hope to provide the vision of the expanded animation media with this study.

• Journal of KIISE:Software and Applications
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• v.29 no.11
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• pp.767-774
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• 2002

Conventional research on image restoration has focused on restoring degraded images resulting from image formation, storage and communication, mainly in the signal processing field. Related research on recovering original image information of caption regions includes a method using BMA(block matching algorithm). The method has problem with frequent incorrect matching and propagating the errors by incorrect matching. Moreover, it is impossible to recover the frames between two scene changes when scene changes occur more than twice. In this paper, we propose a method for recovering original images using EBMA(Extended Block Matching Algorithm) and a region compensation method. To use it in original image recovery, the method extracts a priori knowledge such as information about scene changes, camera motion and caption regions. The method decides the direction of recovery using the extracted caption information(the start and end frames of a caption) and scene change information. According to the direction of recovery, the recovery is performed in units of character components using EBMA and the region compensation method. Experimental results show that EBMA results in good recovery regardless of the speed of moving object and complexity of background in video. The region compensation method recovered original images successfully, when there is no information about the original image to refer to.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.26 no.6
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• pp.238-242
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• 2016

The effect of the alkali, alkali earth metal elements on selective catalytic reduction(SCR) catalyst deactivation behavior were investigated in terms of microstructure, surface area, pore volume and De-NOx test. Poisoned SCR catalyst were manufactured by injection of $K_2CO_3$, $Na_2CO_3$, $Ca(CH_3COO)_2{\cdot}H_2O$, $C_4H_6MgO_4{\cdot}4H_2O$, $H_3PO_4$ solutions in the new SCR catalyst at $350^{\circ}C$ for 6 hours. New and poisoned catalysts surface were similar. But specific surface area, pore volume decrease from Na, Mg, K, Ca, P compared to new SCR catalyst. Especially, Na poisoned catalyst surface area and pore size extremely decreased by $10.20m^2/g$, $0.061cm^2/g$. De-NOx test results of new and poisoned catalysts at $150{\sim}450^{\circ}C$ indicated that alkali metal (K, Na) poisoned SCR catalysts have the lowest De-NOx efficiency, alkali earth metal poisoned SCR catalysts (Ca, Mg) De-NOx efficiency are higher than alkali metal poisoned SCR catalysts. P poisoned SCR catalyst De-NOx efficiency is similar new SCR catalyst. It were considered that physical deactivation of SCR catalyst was affected by SCR catalyst surface area and pore volume change.

• Journal of Korean Tunnelling and Underground Space Association
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• v.13 no.6
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• pp.431-450
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• 2011

When a circular vertical shaft is constructed below the groundwater level, additional forces caused by groundwater flow besides horizontal effective stresses will act on the wall. The inward direction of the groundwater flow will be inclined to the vertical wall and its direction will change depending on the wall depth. In this paper, to figure out the effect of seepage forces acting on the circular vertical shaft, the slope of the inclined flow varying with the depth is divided into vertical and horizontal components to derive the coefficient of earth pressure considering the seepage pressure and to obtain the vertical stress by taking the seepage pressure into account. The control volume in this study is assumed to be the same with that of the dry ground condition within which the earth pressure is acting on the wall by the creation of the plastic zone during shaft excavation. An example study shows that the vertical stress increases by about 1.4 times and the horizontal earth pressure increases up to 2.5 times compared to the dry ground condition. The estimated values from the proposed equation considering seepage forces and the calculated values from numerical analysis with "effective stress plus seepage force" show similar values, which verifies appropriateness of the proposed equation to estimate the earth pressure under the seepage condition.

• Journal of Internet Computing and Services
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• v.15 no.1
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• pp.29-43
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• 2014

The development of NGS technologies, such as scientific workflows, has reduced the time required for decoding DNA sequences. Although the automated technologies change the genome sequence analysis environment, limited computing resources still pose problems for the analysis. Most scientific workflow systems are pre-built platforms and are highly complex because a lot of the functions are implemented into one system platform. It is also difficult to apply components of pre-built systems to a new system in the cloud environment. Cloud computing technologies can be applied to the systems to reduce analysis time and enable simultaneous analysis of massive DNA sequence data. Web service techniques are also introduced for improving the interoperability between DNA sequence analysis systems. The workflow-based middleware, which supports Web services, DBMS, and cloud computing, is proposed in this paper for expecting to reduceanalysis time and aiding lightweight virtual instances. It uses DBMS for managing the pipeline status and supporting the creation of lightweight virtual instances in the cloud environment. Also, the RESTful Web services with simple URI and XML contents are applied for improving the interoperability. The performance test of the system needs to be conducted by comparing results other developed DNA analysis services at the stabilization stage.