• Asia pacific journal of information systems
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• v.19 no.2
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• pp.139-155
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• 2009

For the last few decades, many studies have tried to explore and unveil venture companies' success factors and unique features in order to identify the sources of such companies' competitive advantages over their rivals. Such venture companies have shown tendency to give high returns for investors generally making the best use of information technology. For this reason, many venture companies are keen on attracting avid investors' attention. Investors generally make their investment decisions by carefully examining the evaluation criteria of the alternatives. To them, credit rating information provided by international rating agencies, such as Standard and Poor's, Moody's and Fitch is crucial source as to such pivotal concerns as companies stability, growth, and risk status. But these types of information are generated only for the companies issuing corporate bonds, not venture companies. Therefore, this study proposes a method for evaluating venture businesses by presenting our recent empirical results using financial data of Korean venture companies listed on KOSDAQ in Korea exchange. In addition, this paper used multi-class SVM for the prediction of DEA-based efficiency rating for venture businesses, which was derived from our proposed method. Our approach sheds light on ways to locate efficient companies generating high level of profits. Above all, in determining effective ways to evaluate a venture firm's efficiency, it is important to understand the major contributing factors of such efficiency. Therefore, this paper is constructed on the basis of following two ideas to classify which companies are more efficient venture companies: i) making DEA based multi-class rating for sample companies and ii) developing multi-class SVM-based efficiency prediction model for classifying all companies. First, the Data Envelopment Analysis(DEA) is a non-parametric multiple input-output efficiency technique that measures the relative efficiency of decision making units(DMUs) using a linear programming based model. It is non-parametric because it requires no assumption on the shape or parameters of the underlying production function. DEA has been already widely applied for evaluating the relative efficiency of DMUs. Recently, a number of DEA based studies have evaluated the efficiency of various types of companies, such as internet companies and venture companies. It has been also applied to corporate credit ratings. In this study we utilized DEA for sorting venture companies by efficiency based ratings. The Support Vector Machine(SVM), on the other hand, is a popular technique for solving data classification problems. In this paper, we employed SVM to classify the efficiency ratings in IT venture companies according to the results of DEA. The SVM method was first developed by Vapnik (1995). As one of many machine learning techniques, SVM is based on a statistical theory. Thus far, the method has shown good performances especially in generalizing capacity in classification tasks, resulting in numerous applications in many areas of business, SVM is basically the algorithm that finds the maximum margin hyperplane, which is the maximum separation between classes. According to this method, support vectors are the closest to the maximum margin hyperplane. If it is impossible to classify, we can use the kernel function. In the case of nonlinear class boundaries, we can transform the inputs into a high-dimensional feature space, This is the original input space and is mapped into a high-dimensional dot-product space. Many studies applied SVM to the prediction of bankruptcy, the forecast a financial time series, and the problem of estimating credit rating, In this study we employed SVM for developing data mining-based efficiency prediction model. We used the Gaussian radial function as a kernel function of SVM. In multi-class SVM, we adopted one-against-one approach between binary classification method and two all-together methods, proposed by Weston and Watkins(1999) and Crammer and Singer(2000), respectively. In this research, we used corporate information of 154 companies listed on KOSDAQ market in Korea exchange. We obtained companies' financial information of 2005 from the KIS(Korea Information Service, Inc.). Using this data, we made multi-class rating with DEA efficiency and built multi-class prediction model based data mining. Among three manners of multi-classification, the hit ratio of the Weston and Watkins method is the best in the test data set. In multi classification problems as efficiency ratings of venture business, it is very useful for investors to know the class with errors, one class difference, when it is difficult to find out the accurate class in the actual market. So we presented accuracy results within 1-class errors, and the Weston and Watkins method showed 85.7% accuracy in our test samples. We conclude that the DEA based multi-class approach in venture business generates more information than the binary classification problem, notwithstanding its efficiency level. We believe this model can help investors in decision making as it provides a reliably tool to evaluate venture companies in the financial domain. For the future research, we perceive the need to enhance such areas as the variable selection process, the parameter selection of kernel function, the generalization, and the sample size of multi-class.

• Progress in Medical Physics
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• v.24 no.3
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• pp.162-170
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• 2013

Dedicated single-photon emission computed tomography (SPECT) systems based on pixelated semiconductors are being developed for studying small animal models of human disease. To clarify the possibility of using a SPECT system with CdTe for a high resolution low-dose small animal imaging, we compared the quality of reconstructed images from pixelated CdTe detector to those from a small SPECT system with NaI(Tl). The CdTe detector was $44.8{\times}44.8$ mm and the pixels were $0.35{\times}0.35{\times}5$ mm. The intrinsic resolution of the detector was 0.35 mm, which is equal to the pixel size. GATE simulations were performed to assess the image quality of both SPECT systems. The spatial resolutions and sensitivities for both systems were evaluated using a 10 MBq $^{99m}Tc$ point source. The quantitative comparison with different injected dose was performed using a voxelized MOBY phantom, and the absorbed doses for each organ were evaluated. The spatial resolution of the SPECT with NaI(Tl) was about 1.54 mm FWHM, while that of the SPECT with a CdTe detector was about 1.32 mm FWHM at 30 mm. The sensitivity of NaI(Tl) based SPECT was 83 cps/MBq, while that of the CdTe detector based SPECT was 116 cps/MBq at 30 mm. The image statistics were evaluated by calculating the CNR of the image from both systems. When the injected activity for the striatum in the mouse brain was 160 Bq/voxel, the CNR of CdTe based SPECT was 2.30 while that of NaI(Tl) based SPECT was 1.85. The CNR of SPECT with CdTe was overall higher than that of the NaI(Tl) based SPECT. In addition, the absorbed dose was higher from SPECT with CdTe than those from NaI(Tl) based SPECT to acquire the same quantitative values. Our simulation results indicated that the SPECT with CdTe detector showed overall high performance compared to the SPECT with NaI(Tl). Even though the validation study is needed, the SPECT system with CdTe detector appeared to be feasible for high resolution low-dose small animal imaging.

• The Korean Journal of Nuclear Medicine
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• v.35 no.2
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• pp.100-112
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• 2001

Purpose: The purpose of this study was to establish optimal imaging acquisition conditions for the GE $Advance^{TM}$ PET imaging system by performing the acceptance tests designed by National Electrical Manufacturers Association (NEMA) protocol and General Electric Medical Systems (GEMS) test procedures. Materials and Methods: Performance tests were carried out with $^{18}FDG$ radioactivity source and phantoms by using a standard acquisition mode. Transaxial resolution and scatter traction tests were performed with a line source and axial resolution with a point source, respectively. A cylindrical phantom made of polymethylmethacrylate (PMMA) was used to measure sensitivity, count rate losses and randoms, uniformity correction, and attenuation inserts were added to measure remaining tests. The test results were acquired in a diagnostic acquisition mode and analyzed mainly on high sensitivity mode. Results: Transaxial resolution and axial resolution were measured as average of 4.65 mm and 3.98 mm at 0 cm, and 6.02 mm and 6.71 mm at 20 cm on high sensitivity mode, respectively. Average scatter fraction was 9.87%, and sensitivity was $225.8kcps/{\mu}Ci/cc$ of trues. Activity at 50% deadtime was $4.6{\mu}Ci/cc$, and the error of count rate correction at that activity was from 1.49% to 3.83%. Average nonuniformity for total slice w3s 8.37%. The accuracy of scatter correction was -0.95%. The accuracies of attenuation correction were 5.68% for air, 0.04% for water and -6.51% for polytetrafluoroethylene (PTFE). Conclusion: The results satisfied most acceptance criteria, indicating that the GE $Advance^{TM}$ PET system can be optimally used for clinical applications.

• Journal of the Korea Organic Resources Recycling Association
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• v.26 no.3
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• pp.23-31
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• 2018

This study was carried out to investigate the effects of livestock manure compost and fish-meal liquid fertilizer on the growth of cucumber and the soil properties for the stable production of organic cucumber. Cucumber was transplanted in greenhouse on the $6^{th}$ of April in 2017, and this experiment contained five treatments: livestock manure compost 100% (LC 100%), livestock manure compost 50% + fish-meal liquid fertilizer 50% (LC50 + LF50), livestock manure compost 50% (LC50), chemical fertilizer (NPK), and no fertilizer (NF). As a result, it was shown that soil chemical properties of LC50 + LF50 plot is not different from that of LC100 plot except for the EC content, but soil chemical properties of LC50 + LF50 plot is statistically significantly different from that of NPK plot except for pH. As a result of evaluating the functional diversity of soil microbial communities using Biolog system, the substrate richness (S) and the diversity index (H) were the highest in LC50 + LF50 plot. As a result of comparing the cucumber growth and yield, it was found that there was no statistically significant difference between the plant height and the fresh weight of LC100, LC50 + LF50, and NPK plot, but the plant height and the fresh weight of LC100, LC50 + LF50, and NPK plot were different from that of LC50 and NF plot. The yield of cucumber was the highest in NPK plot r(7,397 kg/10a), but there was no statistically significant difference in the yield of cucumber between NPK plot and LC100, LC50 + LF50 plot. The above-described results suggested that the livestock manure compost and fish meal liquid fertilizer can be used for organic cucumber production under greenhouse condition.

• Journal of KIISE:Software and Applications
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• v.37 no.12
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• pp.909-918
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• 2010

To analyze the national competitiveness of Korea leads to the conclusion that global high-tech enterprises have been playing leading and pulling roles in making Korea in line with advanced countries even though the country is lacking in various natural resources. The characteristics of these companies above are as follows; Firstly, these enterprises continue to accumulate core technologies and know-how with highly competent human resources and well-organized management. Secondly, they are well structured and equipped with information technology infrastructures which are, for example, ERP, SCM, CRM, and PLM. Among them PLM is considered to be the principal core information technology infra in manufacturing industry. The urgent task of manufacturing industry recently is to develop new products to accept various needs of consumers, and to launch the products in time to market, which requires the manufactures to be equipped with product development infra and system to upgrade product fulfillment and mass production system in a short period. The introduction of PLM System is a solution of core strategy as a manufacturer for collaboration, global development, reengineering of manufacturing system, the innovation and efficiency of manufacturing process, and product quality improvement. The purpose of this study is to analyze the success factors of introducing PLM System and its practicing effectiveness. And the results of empirical study are as follows; (1) Technical success factors positively impact system quality and user satisfaction, (2) Organizational success factors positively impact system quality, but does not impact user satisfaction, (3) Environmental success factors positively impact system quality and user satisfaction, (4) System quality positively impacts user satisfaction, (5) User satisfaction positively impacts the effectiveness of implementing PLM systems, but system quality does not impact it.

• Journal of Korean Society of Forest Science
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• v.97 no.3
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• pp.215-220
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• 2008

Recently, there has been a great deal of interest in the applications of plant-based extracts to both cosmetic and medicinal industries. The objective of this study was to investigate the anti-inflammatory and antimicrobial effect of P. rigida extracts by water and ethyl acetate. Anti-inflammatory and anti-microbial effect of P. rigida extracts by water and EtOAc were investigated by using nitrite scavenging ability, nitric oxide production and anti-microbial ability. In the test of nitrite scavenging ability, P. rigida extracts by water and EtOAc showed 88.7% and 99% at 100 ppm concentration, respectively. The cell viability was measured using the MTT assay at 24 hours after P. rigida extracts as shown in over 80%. Anti-inflammatory effect was examined in LPS stimulated RAW 264.7 cells. NO productions in LPS and P. rigida extracts stimulated group were decreased in a concentration and were dependent on time as compared with LPS stimulated. The water extracts showed the highest inhibition at the 100 ppm concentration. In anti-microbial activity test, the water extract with 3.0 mg/disc resulted in the clear zone of 14 mm, and ethyl acetate with that of 15 mm for Staphylococcus aureus. However, P. rigida extracts didn't show any growth inhibitory effect on Esherichia coli. These results indicate that the extracts of P. rigida have anti-inflammatory activities as a cosmeceuticals.

• Journal of Korean Academy of Nursing
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• v.30 no.3
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• pp.776-790
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• 2000

Every year the number of the elderly increases in Korea thanks to the improvemen of social and economical levels and the development of medicine. However, many problems such as insufficent care and the isolation of the elderly have been commonplace. This trend exists not only because of increased lifespan but also the changing social structure of the nuclear family. Accordingly, inspite of the development of medicine, geriatric diseases including circulatory diseases are increasing in proportion of elderly population, as well as the severity. Therefore, it is important to emphasize that health care programs provide the best possible health care and functional capacities in terms of healthy elderly lifestyles. Especially, the phenomena of aging and geriatric diseases taking place with the elderly naturally are affected by lifestyle and the drastic changes in exercise patterns. This study aims to improve geriatric health by introducing a rhythmic movement program for the elderly to estabilish a health-promoting self-care system and by developing quality of life, perceived health status, their physical and physiological functions and emotional state. The theoretical framework used in this dissertation is derived from the Health-Promoting Self-Care System Model (Simmons, 1990), which integrates the Self-Care Deficit Nursing Theory (Orem, 1985), the interaction model of Client Health Behavior (Cox, 1982) and the Health Promotion Model (Pender, 1987). As a quasi-experimental design, the nonequivalent control group pretest-posttest design is utilized for this study. The subjects of this study consist of 64 people, over 65 years old who live in 2 nursing homes for the aged located in S city , Kyong-gi province and volunteered for this study from July, 12, 1999 to September, 17, 1999. They are divided into two groups：33 in the experimental group and 31 in the control group. The experimental group particpated in the Rhythmic Movement Program at the nursing home, which was comprised of 45 minutes a session, 5 sessions a week during 9 weeks. In order to measure the results of the Rhythmic Movement Program, aspects of perceived health status, balance, flexibility, grip strength, leg strength, heart rate, blood pressure, depression, anxiety and the quality of life were measured before and after participating in the Rhythimic Movement Program for the experimental group after 9 weeks, as well as the control group. The collected data were processed by SPSS PC+ and analyzed by the X2 test, t-test, ANCOVA and the Pearson Correlation Coefficient. The results of this study are as follows: 1. The perceived health status conditions in the experimental group show statistically significant improvement when compared to the control group (F=17.51, p=.000). 2. The physical and physiological functions, that is, balance (F=17.51, p=.000), flexibility (F=8.01, p=.006), grip strength (F=3.21, p=.018) and leg strength (F=25.78, p=.000) in the experimental group are higher than the control group. The vital signs, that is, the number of heart rate (F=.022, p=.884), systolic pressure (F=1.73 p=.193), and diastolic pressure (F=2.74, p=.103) in the experimental group compared to the control group decreased, but doesn't show statistically significant differences. Immune responses (F=5.13, p=.003) showed statistically significant increases in the experimental group when compared to the control group. 3. The emotional state are improved, that is, degree of depression (F=11.56, p=.001) and degree of anxiety (F=9.14, p=.004) in the experimental group showed statistically significant decreases. 4. The quality of life in the experimental group (F=3.03, p=.037) showed statistically significant differences compared to the control group. 5. The observations of the relationships among the perceived health status, emotional state , the quality of life, the relationships between the perceived health status, the degree of depression (r=-.653, p=.000) and the degree of anxiety (r=-.786, p=.000) were in contrary propotions, while the relationships between the perceived health status and the quality of life (r=.234, p=.008) were in direct propotion. In conclusion, the Rhythmic Movement Program used in this study for geriatric nursing care is simple and safe for application to the elderly and shows significant effects by implementing 5 sessions a week for 9 weeks. The Rhythmic Movement Program improves the quality of life, maintains as well as improves the physical and physiological fuctions and emotional state, therefore this program is strongly recommended for positive applications for independant geriatric nursing health care.

• Progress in Medical Physics
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• v.24 no.1
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• pp.25-34
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• 2013

To investigate effects of phase mask on susceptibility-weighted images (SWI) using voxel-based analyses in normal elderly subjects. A three-dimensional (3D) gradient echo sequence ran to obtain SWIs in 20 healthy elderly subjects. SWIs with two (SWI2) and four (SWI4) phase multiplications were achieved with positive (PSWI) and negative (NSWI) phase masks to investigate phase mask effects. The voxel-based comparisons were performed using paired t-tests between PSWI and NSWI and between SWI2 and SWI4. Differences of signal intensities between magnitude images and SWI4 were larger than those between magnitude images and SWI2s. Differences of signal intensities between magnitude images and PSWIs were larger than those between magnitude images and NSWIs. Moreover, the signal intensities from NSWI2s and NSWI4s were greater than those from PSWI2s and PSWI4s, respectively. More differences of signal intensities between NSWI4 and PSWI4s were found than those between NSWI2s and PSWI2s in the whole brain images. The voxel-based analyses of SWI could be beneficial to investigate susceptibility differences on the entire brain areas. The phase masking method could be chosen to enhance brain tissue contrast rather than to enhance venous blood vessels. Therefore, it is recommended to apply voxel-based analyses of SWI to investigate clinical applications.

• Korean Journal of Microbiology
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• v.48 no.4
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• pp.314-318
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• 2012

Most types of collagen used for biomedical applications, such as cell therapy and tissue engineering, are derived from animal tissues. Therefore, special precautions must be taken during the production of these proteins in order to assure against the possibility of the products transmitting infectious diseases to the recipients. The ability to remove and/or inactivate known and potential viral contaminants during the manufacturing process is an ever-increasingly important parameter in assessing the safety of biomedical products. The purpose of this study was to evaluate the efficacies of the 70% ethanol treatment and pepsin treatment at pH 2.0 for the inactivation of bovine viruses during the manufacture of collagen type I from bovine hides. A variety of experimental model viruses for bovine viruses including bovine herpes virus (BHV), bovine viral diarrhea virus (BVDV), bovine parainfluenza 3 virus (BPIV-3), and bovine parvovirus (BPV), were chosen for the evaluation of viral inactivation efficacy. BHV, BVDV, BPIV-3, and BPV were effectively inactivated to undetectable levels within 1 h of 70% ethanol treatment for 24 h, with log reduction factors of ${\geq}5.58$, ${\geq}5.32$, ${\geq}5.11$, and ${\geq}3.42$, respectively. BHV, BVDV, BPIV-3, and BPV were also effectively inactivated to undetectable levels within 5 days of pepsin treatment for 14 days, with the log reduction factors of ${\geq}7.08$, ${\geq}6.60$, ${\geq}5.60$, and ${\geq}3.59$, respectively. The cumulative virus reduction factors of BHV, BVDV, BPIV-3, and BPV were ${\geq}12.66$, ${\geq}11.92$, ${\geq}10.71$, and ${\geq}7.01$. These results indicate that the production process for collagen type I from bovine hides has a sufficient virus-reducing capacity to achieve a high margin of virus safety.

• Korean Chemical Engineering Research
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• v.44 no.1
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• pp.65-72
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• 2006

Recent technical advances in the biorecognition engineering and the microparticle fabrication may enable us to develop the single step purification using magnetic particle, because of its simplicity, efficacy, ease of automation, and process economics. In this study, we used commercial magnetic particles from Seradyn, Inc. (Indianapolis, USA). It was ca. 2.8 micron in diameter, consisted of polystyrene core and magnetite coating, and its surface had carboxyl groups. The model, capture protein was IgG and anti-IgG was used as the ligand molecule. We studied the different surfaces ('nude', ester-activated, and anti-IgG coated) for their biorecognition of IgG. At a high pH condition, we could reduce non-specific binding. Also anti-IgG immobilized magnetic particle could capture IgG more selectively. We attempted 'oriented immobilization' of anti-IgG, in which the polysaccharides moiety near the C-terminus was selectively oxidized and linked to the hydrazine-coated MP, to improve the efficacy of biorecognitive binding. Using this method, the IgG capturing ability was improved by ca. 2 fold. From the binary mixture of the IgG-insulin, IgG could be more selectively captured. In summary, the oriented immobilization of oxidized anti-IgG proved to be as effective as the streptavidin-biotin system and yet simpler and cost-effective. This immobilization method can find its applications in protein biochips and biotargeting.