• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.79-96
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• 2012

As the pace of competition dramatically accelerates and the complexity of change grows, a variety of research have been conducted to improve firms' short-term performance and to enhance firms' long-term survival. In particular, researchers and practitioners have paid their attention to identify promising technologies that lead competitive advantage to a firm. Discovery of promising technology depends on how a firm evaluates the value of technologies, thus many evaluating methods have been proposed. Experts' opinion based approaches have been widely accepted to predict the value of technologies. Whereas this approach provides in-depth analysis and ensures validity of analysis results, it is usually cost-and time-ineffective and is limited to qualitative evaluation. Considerable studies attempt to forecast the value of technology by using patent information to overcome the limitation of experts' opinion based approach. Patent based technology evaluation has served as a valuable assessment approach of the technological forecasting because it contains a full and practical description of technology with uniform structure. Furthermore, it provides information that is not divulged in any other sources. Although patent information based approach has contributed to our understanding of prediction of promising technologies, it has some limitations because prediction has been made based on the past patent information, and the interpretations of patent analyses are not consistent. In order to fill this gap, this study proposes a technology forecasting methodology by integrating patent information approach and artificial intelligence method. The methodology consists of three modules : evaluation of technologies promising, implementation of technologies value prediction model, and recommendation of promising technologies. In the first module, technologies promising is evaluated from three different and complementary dimensions; impact, fusion, and diffusion perspectives. The impact of technologies refers to their influence on future technologies development and improvement, and is also clearly associated with their monetary value. The fusion of technologies denotes the extent to which a technology fuses different technologies, and represents the breadth of search underlying the technology. The fusion of technologies can be calculated based on technology or patent, thus this study measures two types of fusion index; fusion index per technology and fusion index per patent. Finally, the diffusion of technologies denotes their degree of applicability across scientific and technological fields. In the same vein, diffusion index per technology and diffusion index per patent are considered respectively. In the second module, technologies value prediction model is implemented using artificial intelligence method. This studies use the values of five indexes (i.e., impact index, fusion index per technology, fusion index per patent, diffusion index per technology and diffusion index per patent) at different time (e.g., t-n, t-n-1, t-n-2, ${\cdots}$) as input variables. The out variables are values of five indexes at time t, which is used for learning. The learning method adopted in this study is backpropagation algorithm. In the third module, this study recommends final promising technologies based on analytic hierarchy process. AHP provides relative importance of each index, leading to final promising index for technology. Applicability of the proposed methodology is tested by using U.S. patents in international patent class G06F (i.e., electronic digital data processing) from 2000 to 2008. The results show that mean absolute error value for prediction produced by the proposed methodology is lower than the value produced by multiple regression analysis in cases of fusion indexes. However, mean absolute error value of the proposed methodology is slightly higher than the value of multiple regression analysis. These unexpected results may be explained, in part, by small number of patents. Since this study only uses patent data in class G06F, number of sample patent data is relatively small, leading to incomplete learning to satisfy complex artificial intelligence structure. In addition, fusion index per technology and impact index are found to be important criteria to predict promising technology. This study attempts to extend the existing knowledge by proposing a new methodology for prediction technology value by integrating patent information analysis and artificial intelligence network. It helps managers who want to technology develop planning and policy maker who want to implement technology policy by providing quantitative prediction methodology. In addition, this study could help other researchers by proving a deeper understanding of the complex technological forecasting field.

• Geophysics and Geophysical Exploration
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• v.21 no.3
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• pp.171-182
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• 2018

We performed the seismic field data processing using an open-source software (Madagascar) to verify if it is applicable to processing of field data, which has low signal-to-noise ratio and high uncertainties in velocities. The Madagascar, based on Python, is usually supposed to be better in the development of processing technologies due to its capabilities of multidimensional data analysis and reproducibility. However, this open-source software has not been widely used so far for field data processing because of complicated interfaces and data structure system. To verify the effectiveness of the Madagascar software on field data, we applied it to a typical seismic data processing flow including data loading, geometry build-up, F-K filter, predictive deconvolution, velocity analysis, normal moveout correction, stack, and migration. The field data for the test were acquired in Gunsan Basin, Yellow Sea using a streamer consisting of 480 channels and 4 arrays of air-guns. The results at all processing step are compared with those processed with Landmark's ProMAX (SeisSpace R5000) which is a commercial processing software. Madagascar shows relatively high efficiencies in data IO and management as well as reproducibility. Additionally, it shows quick and exact calculations in some automated procedures such as stacking velocity analysis. There were no remarkable differences in the results after applying the signal enhancement flows of both software. For the deeper part of the substructure image, however, the commercial software shows better results than the open-source software. This is simply because the commercial software has various flows for de-multiple and provides interactive processing environments for delicate processing works compared to Madagascar. Considering that many researchers around the world are developing various data processing algorithms for Madagascar, we can expect that the open-source software such as Madagascar can be widely used for commercial-level processing with the strength of expandability, cost effectiveness and reproducibility.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.547-554
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• 2014

In this study, have researched 'a' index from three sound sources, effects on subject and finding optimal 'a' index, which can improve subject's stability, concentration and productivity. Check the health status of subjects who were selected 5 male and 5 female university students, and the period of this experiment was about two months. It were measured each subject's EEG, HRV and vibra image to analyze transition of stability, concentration, stress and heart beat. The results was measured in an environmental test room of temperature $25[^{\circ}C]$, the relative humidity 50 [%], illuminance 1,000 [lux] and air current speed 0.02[m/sec] with 'a' index of three sound sources which are a=1.106, a=1.749 and a=2.227. Results in a=1.106 compared to before exposure, relative $S{\alpha}$ wave, relative $L{\beta}$ wave and relative $M{\beta}$ wave have been revitalized, asymmetry index, stress and HRV have been decreased. Thus, to increase stability, concentration and productivity, also to decrease stress, changes in sound source of a=1.106 was found to be the most effective.

• Journal of the Korean Chemical Society
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• v.51 no.2
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• pp.178-185
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• 2007

Intermediate pentasil borosilicate zeolite-like materials have been crystallized by a novel method named steam-assisted conversion, which involves vapor-phase transport of water. Indeed, amorphous powders obtained by drying Na2O.SiO2.B2O3.TBA2O gels of various compositions using different boron sources are transformed into crystalline borosilicate zeolite belonging to pentasil family structure by contact with vapors of water under hydrothermal conditions. Using a variant of this method, a new material which has an intermediate structure of MFI/MEL in the ratio 90:10 was crystallized. The results show that steam and sufficiently high pH in the reacting hydrous solid are necessary for the crystallization to proceed. Characterization of the products shows some specific structural aspects which may have its unique catalytic properties. X-ray diffraction patterns of these microporous crystalline borosilicates are subjected to investigation, then, it is shown that the product structure has good crystallinity and is interpreted in terms of regular stacking of pentasil layers correlated by inversion centers (MFI structure) but interrupted by faults consisting of mirror-related layers (MEL structure). The products are also characterized by nitrogen adsorption at 77 K that shows higher microporous volume (0.160 cc/g) than that of pure MFI phase (0.119 cc/g). The obtained materials revealed high surface area (~600 m2/g). The infrared spectrum reveals the presence of an absorption band at 900.75 cm-1 indicating the incorporation of boron in tetrahedral sites in the silicate matrix of the crystalline phase.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.193-202
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• 2017

This study was conducted to investigate the levels of academic stress, ego-resilience, and health promoting behaviors of nursing students, and to examine the relationship between these variables. The participants were 208 nursing students(freshman/sophomore). Data were collected from April 3 to April 21, 2017 by self-administered questionnaires. Data were analyzed using the SPSS WIN 19.0 program(SPSS Inc., Chicago, IL, USA). The results of this study were as follows: the mean academic stress score was $3.17{\pm}0.55$, ego-resilience was $2.70{\pm}0.38$, and health promoting behaviors was $2.47{\pm}0.32$. There were significant differences in health promoting behaviors based on residence status, satisfaction with major, satisfaction with school life and health status. There was a negative correlation between health promoting behaviors and academic stress(r=-0.36, p=0.000), while there was a positive correlation between health promoting behaviors and ego-resilience(r=0.60, p=0.000). Variables such as ego-resilience, academic stress, satisfaction with school life, residence status, health status and satisfaction with major explained 43.3% of the variance in health promoting behaviors. Based on these results, it is necessaryto develop interventions and programs to reduce academic stress and increase ego-resilience to improve health promotion in nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.598-608
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• 2016

This study examined the relationships among patient safety competence, critical thinking disposition, problem-solving competence, and self-efficacy of clinical nurses to identify the factors influencing the patient safety competence. A convenience sample of 373 nurses working in 4 general hospitals in a Metropolitan area in Korea was selected. After obtaining IRB approval, data collection was done with a structured self-administered questionnaire from October 14th to November 4th, 2014. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis using the SPSS WIN 21.0 program. The participants showed a moderate level of patient safety competence ($3.75{\pm}0.37$), of critical thinking disposition ($3.43{\pm}0.27$), of problem solving competence ($3.54{\pm}0.30$), and of self-efficacy ($3.58{\pm}0.47$). The patient safety competence of the participants showed a significant correlation with the critical thinking disposition (r=.493, p<.001), problem solving competence (r=.616, p<.001), and self-efficacy (r=.475, p<.001). The significant factors influencing the patient safety competence were problem solving competence (${\beta}=.403$, p<.001), self-efficacy (${\beta}=.156$, p=.005), critical thinking disposition (${\beta}=.130$, p=.018), and having the experience of reporting patient safety accidents (${\beta}=.137$, p=.002). The results suggest that educational programs to enhance the critical thinking disposition, problem-solving competence, and self-efficacy would develop the patient safety competence of clinical nurses. In addition, more effort should be placed into reinforcing the patient safety competence by activating the report of patient safety accidents.

• Culinary science and hospitality research
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• v.18 no.1
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• pp.259-271
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• 2012

As the society's expectations of business have drastically amplified in recent years, an increasing number of companies have devoted their resources and managerial attention to corporate social responsibility. However, little information bas been reported on consumers' expectations on social responsibility of restaurant companies. This research studied the consumer's perception on the socially responsible business practices of restaurant companies. The research also investigated if the customer's expectations differ based on the types of restaurants. Overall, it was found that the consumers strongly feel the necessities of restaurants' socially responsible activities and publicity of those activities (4.08 and 4.05, respectively, out of 5). They also responded that the socially responsible behaviors of restaurants somewhat affect their purchase decisions (3.74 out of 5). As a result of a principle component analysis, five types of socially responsible activities(i.e., philanthropic responsibility, economic responsibility, community responsibility, environmental protection responsibility, and consumer protection responsibility) were extracted. In addition, the results showed that the consumer's expectations toward socially responsible activities of restaurants differ based on the types of restaurants (multivariate F=4.616, p=0.000).

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.18 no.1_2
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• pp.21-25
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• 2012

This study was conducted to investigate the effects of filling and packaging temperatures on the quality changes of retorted Samgyetang during storage. The samples were manufactured after filling the broth maintained either at $50^{\circ}C$ (T1) or $85^{\circ}C$ (T2) into pouch and followed by sterilizing them at $120^{\circ}C$ for 65 min under the F value of approximately 8.0. The samples were stored at $25^{\circ}C$ up until 6 months and various physic-chemical parameters including pH, oxygen ratio in the headspace of package, residual dissolved oxygen concentration in the broth, acid value, volatile basic nitrogen value (VBN), apparent viscosity, spreadability of porridge, and sensory attributes were analyzed periodically at month 0, 1, 3, and 6, respectively. During storage time, the dissolved oxygen concentration and acid values of T2 samples tended to increase slower than T1 (p<0.05). Between T1, and T2 samples, significant differences were observed for pH and dissolved oxygen concentration over the storage period while acid values and VBN values were significantly different from 3 months (p>0.05). Contrarily, no apparent differences were observed between two samples in the apparent viscosity, spreadability of porridge, and sensory attributes over the storage period (p>0.05).

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.1 no.2
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• pp.101-134
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• 2006

This study is conducted to examine how purchase behaviors of consumers have affected by the promotion of coupons in internet shopping mall. This study was conducted with the purpose of identifying the differences In purchase behavior based on consumer's perception and experience of internet shopping mall coupons, and based on consumers' perception of cost and value of coupons, using a theoretic framework presented in previously conducted studies. The results of this study can be summarized as follows. First, based on the perception of coupons, there were significant differences in intent to use and intent to re-use at the time when coupons are offered, and at the time when coupons are offered, no significant differences were found between the level of interest and the importance of coupon at the time of visiting the shopping mall; however, significant differences were found in the overall purchase behavior based on perception of coupons. Second, when overall differences In purchase behavior based on experience in coupon use was observed, having experience in using coupons showed a higher average than did having no experience in using coupons, showing a significant difference. It was found that compared to those without experience in using coupons, those with experience with coupons had higher intent to use at the time when coupon is offered, intent to re-use at the time when coupon is offered, and higher level of purchase behavior In the importance of coupons at the time of visiting the shopping mall. Third, when relationship between purchase behaviors, cost of coupon, and perception of convenience was observed, a clear static relationship was found. This suggests that as the cost and perception of convenience of coupon increases, purchase behavior also increases. Such result suggests that there is a difference in purchase behavior based on experience in coupon use. When relationship of purchase behavior by variables of cost of coupon and perception of convenience is observed, it has a positive relationship with the perception that the use of coupon includes saving money, financial help, enjoyment of use, habitual use, has a short effective date, and has a negative relationship with the perception that it saves little money and is a waste of time. Therefore, it can be seen that purchase behavior has the highest relationship with enjoyment of coupon use and habitual coupon use. Such results suggest that purchase behavior will be significantly influenced based on cost of coupon and perception of convenience.

• Journal of the Korean Society of Safety
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• v.32 no.4
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• pp.34-39
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• 2017

Typical flow regime of overflow at barrier or weir constructed in mid and small streams becomes as the submerged flow during most flood events. One of major causes of barrier failure has been reported as the levee-scour near the conjuction node between barrier and levee. However, most related design guidelines in Korea have not mentioned about the protection of levee around barrier or weir in detail. Furthermore, most previous researches have focused on the flow characteristics of overflow around several types of weirs but they did not have considered the material properties of levee itself. In this study, local scour near barrier was investigated with different material properties of levee under the submerged overflow condition which is assumed to reenact a flood event. Based on results from Fritz et al. and Mavis et al., a theoretical formula was also proposed in initial stage of laboratory experiments. And hydraulic experiments were carried out for the verification of the proposed formula. Levee was installed in the prismetic trapezoidal open channel and most parts were made of concrete except for movable section in which scour was expected to occur for the efficiency of experimental procedure. Each compaction of movable section in levee was followed by the basis of the KS F 2312. Further, after performing the experiments to find the optimum water content for each sediment, the specific amount of water was injected before flowing water. The difference between the proposed theoretical formula and experiment results was not much but considerable, which might be caused by the effect of compaction. For theoretical approach, it seemed that the formula did not take into account the compaction of levee, thus the correction coefficient for levee compaction determined in the literature was considered. Finally, the formula for the length of scour around barrier or weir was proposed, which can be useful to predict a levee in the reference design of revetment in mid and small streams. As shortly future study, scour length of levee around barrier or weir under different flow conditions such as perfect overflow condition will be studied and it will be able to contribute to suggest the design formula or criteria under all overflow conditions near barrier or weir.