• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.5 s.305
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• pp.123-136
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• 2005

We propose a recognition system for superimposed patterns based on selective attention model and SVM which produces better performance than artificial neural network. The proposed selective attention model includes attention layer prior to SVM which affects SVM's input parameters. It also behaves as selective filter. The philosophy behind selective attention model is to find the stopping criteria to stop training and also defines the confidence measure of the selective attention's outcome. Support vector represents the other surrounding sample vectors. The support vector closest to the initial input vector in consideration is chosen. Minimal euclidean distance between the modified input vector based on selective attention and the chosen support vector defines the stopping criteria. It is difficult to define the confidence measure of selective attention if we apply common selective attention model, A new way of doffing the confidence measure can be set under the constraint that each modified input pixel does not cross over the boundary of original input pixel, thus the range of applicable information get increased. This method uses the following information; the Euclidean distance between an input pattern and modified pattern, the output of SVM, the support vector output of hidden neuron that is the closest to the initial input pattern. For the recognition experiment, 45 different combinations of USPS digit data are used. Better recognition performance is seen when selective attention is applied along with SVM than SVM only. Also, the proposed selective attention shows better performance than common selective attention.

• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.33-51
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• 2011

This research derived the influencing factors for employees' compliance with the information security policy in organizations on the basis of Neutralization Theory, Theory of Planned Behavior and Protection Motivation Theory. To empirically analyze the research model and the hypotheses, data were collected by conducting web survey, 194 of 207 questionnaires were available. The test of causal model was conducted by PLS. Reliability, validity and model fit were found to be statistically significant. the results of hypotheses tests showed that seven ones of eight hypotheses could be accepted. The theoretical implications of this study are as follows : 1) this study is expected to play a role of baseline for future research about employee compliance with the information security policy, 2) this study attempted interdisciplinary approach through combining psychology and information system security research, and 3) it suggested concrete operational definitions of influencing factors for information security policy compliance through comprehensive theoretical review. Also, this study has some practical implications. First, it can provide the guideline to support the successful execution of the strategic establishment for implement of information system security policies in organizations. Second, it is proved that the need for conducting education and training program suppressing employees. neutralization psychology to violate information security policy should be emphasized in the organizations.

• Journal of Venture Innovation
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• v.2 no.1
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• pp.131-151
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• 2019

This paper is conducted to find out if the previous corporate internal reservation has a significant effect on current investment and dividend payments by using the dummy variables of each classified industry. The results of the research show that previous corporate internal reservation had a significant effect on current material investments in following fields - manufacturing industries, technical services, wholesale and retail industries, information services, construction and transportation industries - over two years. Especially, investments in tangible assets were more effective than those in development expenses. In human resource investment, previous corporate internal reservation had a significant effect on current human investments in fields of manufacturing, technical services, information services and transportation industries. Among them, investments in education training expense and welfare benefit expense were more effective than those in wages. In the dividend section, previous corporate internal reservation had a significant effect on current dividends in the fields of manufacturing, wholesale and retail, information services, transportation industries, and in other businesses. Among them, Expenditure on dividend amounts was found to be more effective than that on dividend ratio. This paper contributed to the field in a way of empirically demonstrating the effects of previous corporate internal reservation on current investments and dividends by using the method of industrial classification. On the other hand, it also has a limitation since collecting precise taxation data was practically difficult. Therefore, a further developed study is required to find out the standard which shows exactly how much the measured results of the regression analysis reflect the effects of the government policies. Moreover, it is considered necessary for the government to devise policies on vagueness and uncertainties in the domestic and overseas economic and business environments so that companies can conduct investment with confidence.

• The Korean Journal of Emergency Medical Services
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• v.11 no.2
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• pp.51-66
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• 2007

Purpose: With a view to providing basic data to develop cardiopulmonary resuscitation education suitable for elementary students, the cardiopulmonary resuscitation education was conducted to grasp students' knowledge, skills accuracy and the attitude change before and after the education. Methods: Convenience sampling was made on fourth and fifth graders(total-35 students) of S elementary school located in K city, Chungcheongnam-do, and this was a pre-experiment research designed before and after choosing a single group. In terms of methods, specifically we, researchers ; 1) Handed out questionnaires to students directly to make them fill in firsthand and collected the questionnaires. 2) Utilized PPT materials based on 2005 AHA guideline and DVD materials of AHA, to give students theoretical education of cardiopulmonary resuscitation. We used Anne/SkillReporter$^{(R)}$ torso produced by Leardal Inc, and Little Anne to conduct practical education individually. 3) Asked students to give Anne/SkillReporter$^{(R)}$ torso cardiopulmonary resuscitation five times with the ratio of 30 : 2, and then one of researchers filled in the evaluation sheet individually. 4) Evaluated the accuracy of students' ability to perform the resuscitation based on the record of Anne/SkillReporter$^{(R)}$ integrated printer(which was the objective tool to grasp students' skills accuracy). 5) Gave out questionnaires to make students fill them in and then collected them. after completing the practical evaluation. Results: 1) In case of the attitude about cardiopulmonary resuscitation, Students' confidency rose from 19.28%(before the education) to 93.57(after the education)- which is a positive change. 2) As the result of the education, some elementary students scored 11 points (full score-16 points), up from 5 points before the education, in terms of the knowledge about cardiopulmonary resuscitation. The average point also reached 13.14 points(after the education), jump from 8.37(before the education), which was the rise of 29.8%. 3) When it comes to the practical performance, the skills accuracy was 80.93% on average, and the calculation method was as follows: total items were 16, and each item was marked form 0 to 2 points, meaning the full score was 32 points. The minimum score was 19 points and the maximum was 32($M{\pm}SD=25.90{\pm}2.88$), which was calculated based on percentage. 4) Regarding skills accuracy, respiration accuracy(%)($M{\pm}SD=30.20{\pm}27.16$) was higher than pressure accuracy(%) ($M{\pm}SD=15.34{\pm}25.27$). Conclusion: The result showed that students' attitude on cardiopulmonary resuscitation changed positively. and meaningful difference(p = .00) existed in the change of students' knowledge. In terms of skills accuracy. chest compression and airway control showed high accuracy, but the result of Anne/SkillReporter$^{(R)}$ performance showed that the accuracy of chest compression was lower than that of mouth-to-mouth resuscitation.

• The Journal of the Korean dental association
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• v.53 no.1
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• pp.36-46
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• 2015

Objectives: The objective of this work was to investigate the hospital nursing care of oral and maxillofacial health in jeju province. Methods: 438 Registered nurses(RN) who were working at each of secondary hospitals in Jeju province had responded to the questionnaire. The data were analyzed via frequency analyses and one-way ANOVA to assess the state of RN on hospital nursing care of oral and maxillofacial health. Results: The class of education on density in formal density that marked '0 hour' and '1-3 hours' were 73.5% and 19.9%, respectively. The class of refresher training on density that marked '0 hours' and '1-3 hours' were 92.9% and 6.6%, aggregately 99.5%. The nursing education on appearance after tumor of maxillofacial area that marked 'formal education' and 'none' were 45.2% and 52.1%, respectively. The score of question 'function, effect and side effect of hexamedin gaggle' was $2.68{\pm}0.95$ by Likert 5-point scale. Likewise, the scores were $2.82{\pm}0.88$ on question 'management of removal denture', $2.83{\pm}0.95$ on question 'preventive dental treatment before anticancer therapy', $2.88{\pm}0.86$ on question 'function of saliva', $2.96{\pm}0.99$ on question 'oral management of tube feeding patient', $3.13{\pm}1.00$ on question 'bacterial endocarditis from oral microflora', $3.36{\pm}0.89$ on question 'dysphagia' and $3.62{\pm}1.03$ on question 'aspiration pneumonia'. RN replied that 'lack of knowledge' and 'delay of cooperation' formed 53.7% and 33.3% respectively, on question 'problem in dental consultation other diseased patient'. Conclusions: From this study, it is necessary for RN and student of nursing science to be educated on the oral and maxillofacial nursing. Authors suggest further co-study and nation-wide research.

• Journal of Navigation and Port Research
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• v.36 no.5
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• pp.401-407
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• 2012

The purpose of this study was to examine the preferences to yacht tourism and perceptions to importance of yacht tourism industry's activation strategies from consumers perspectives. In order to such a purpose, this study employed survey methodology with a total of 300 visitors to yacht facility and beach located in B metropolitan city. With 265 usable questionnaires, data collected were analyzed using descriptive statistics such as frequency, percentage, mean and standard deviation. Accordingly, following findings were derived from current study. First, 32% of participants had yacht tourism experiences and more than 64% of them had willing to purchase yacht tourism products in the future, which indicates optimistic increases in yacht tourism demand. In addition, amount of willingness to pay for yacht tourism was less than 100 thousand Won per day. Second, the most preferred product was a yacht training and experience program, and preferred time for yacht tourism was weekend and or vacation with the period of one day or one night and two days. The main motivation was to spend leisure time and enjoyment with accompanying persons of family or friend members. Third, consumers' restriction factors included high expenditures, time consuming and lack of various yacht tourism products but their selection attributes included low expenditures, associated tourism products and quality of yacht tourism products. Finally, the most important activation strategies included the development of yacht tourism products, building yacht tourism conditions and establishing marketing strategies, but the least important activation strategies from consumers views included policies, experts and facilities.

• The KIPS Transactions:PartB
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• v.16B no.2
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• pp.131-140
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• 2009

This paper presents a new algorithm to the segmentation of the FISH images. First, for segmentation of the cell nuclei from background, a threshold is estimated by using the gaussian mixture model and maximizing the likelihood function of gray value of cell images. After nuclei segmentation, overlapped nuclei and isolated nuclei need to be classified for exact nuclei analysis. For nuclei classification, this paper extracted the morphological features of the nuclei such as compactness, smoothness and moments from training data. Three probability density functions are generated from these features and they are applied to the proposed Bayesian networks as evidences. After nuclei classification, segmenting of overlapped nuclei into isolated nuclei is necessary. This paper first performs intensity gradient transform and watershed algorithm to segment overlapped nuclei. Then proposed stepwise merging strategy is applied to merge several fragments in major nucleus. The experimental results using FISH images show that our system can indeed improve segmentation performance compared to previous researches, since we performed nuclei classification before separating overlapped nuclei.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.535-542
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• 2013

Since case-based reasoning(CBR) has many advantages, it has been used for supporting decision making in various areas including medical checkup, production planning, customer classification, and so on. However, there are several factors to be set by heuristics when designing effective CBR systems. Among these factors, this study addresses the issue of selecting appropriate neighbors in case retrieval step. As the criterion for selecting appropriate neighbors, conventional studies have used the preset number of neighbors to combine(i.e. k of k-nearest neighbor), or the relative portion of the maximum similarity. However, this study proposes to use the absolute similarity threshold varying from 0 to 1, as the criterion for selecting appropriate neighbors to combine. In this case, too small similarity threshold value may make the model rarely produce the solution. To avoid this, we propose to adopt the coverage, which implies the ratio of the cases in which solutions are produced over the total number of the training cases, and to set it as the constraint when optimizing the similarity threshold. To validate the usefulness of the proposed model, we applied it to a real-world target marketing case of an online shopping mall in Korea. As a result, we found that the proposed model might significantly improve the performance of CBR.

• Journal of Information Technology Applications and Management
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• v.26 no.4
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• pp.41-50
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• 2019

Block chain technology revolutionizes the 'double entry bookkeeping' of accounting principles in 600 years. It will be an opportunity for you to become one. The advent of the block chain will revolutionize the accounting world. It is no exaggeration to say that it is a skill. The use of block chains for accounting leads to the occurrence of transactions. It's easy to identify a transaction, and it's easy to fake or tamper with it. The accounting industry because it is difficult to communicate transparent accounting information to stake holders. Transformations will be possible across the board (Carlozo, 2017). An entity shall provide financial information that is useful to interested parties in making reasonable economic decisions. Transactions arising from business activities are recorded and provided in the books. Interested parties are here. We need to make decisions to protect our interests and make those decisions rationally. To make a decision, we know how the outcome of the decision will affect our self-interest. Because it has to do so, it uses corporate information for this purpose. But the investor is one way of doing business. It is difficult to trust the information provided by (Yermack, 2017). As a result, ICO companies, startups, small businesses lose a lot of business opportunities because they don't have investors. In addition, the management mixes cash flows with accounting interests to indicate changes in cash flows. It experiences failure in its business due to its inability to analyze and predict faithfully. But it's a blockhead in accounting. Applying the factors and recording them in the book will result in a number of benefits for different stake holders. It can be provided. The financial information in the block chain is not subject to further review or verification. It can improve the timeliness and increase reliability of financial information because it cannot be forged or tampered with (Delloitte, 2016). Based on the fourth industrial revolution, the pace of change in all sectors of society has never been faster. Based on block chain technology, decision-making structure is based on vertical structure of the past. Transforming into a horizontal structure collapses existing tools and advances transparency and decentralization a change of Copernican interpersonal awareness with the trend of the times, which is becoming angry with modern people.

• Journal of the Korean Chemical Society
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• v.53 no.6
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• pp.653-662
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• 2009

Developing effective tools for predicting absorption, distribution, metabolism, excretion properties and toxicity (ADME/T) of new chemical entities in the early stage of drug design is one of the most important tasks in drug discovery and development today. As one of these attempts, support vector machines (SVM) has recently been exploited for the prediction of ADME/T related properties. However, two problems in SVM modeling, i.e. feature selection and parameters setting, are still far from solved. The two problems have been shown to be crucial to the efficiency and accuracy of SVM classification. In particular, the feature selection and optimal SVM parameters setting influence each other, which indicates that they should be dealt with simultaneously. In this account, we present an integrated practical solution, in which genetic-based algorithm (GA) is used for feature selection and grid search (GS) method for parameters optimization. hERG ion-channel inhibitor classification models of ADME/T related properties has been built for assessing and testing the proposed GA-GS-SVM. We generated 6 different models that are 3 different single models and 3 different ensemble models using training set - 1891 compounds and validated with external test set - 175 compounds. We compared single model with ensemble model to solve data imbalance problems. It was able to improve accuracy of prediction to use ensemble model.