• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8262-8273
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• 2015

Sources of innovation and a sustainable competitive advantage for market leading firms in a dynamic environment are major concerns for both firm managers and academic researchers. For this reason, the dynamic capability view (DCV), evolved from the resource-based view (RBV) is gaining popularity as a cornerstone for success of firms in a dynamic market. DCV proposes a number of new concepts and elements, but these are still under development. This study suggests a comprehensive constitution of dynamic capabilities by performing a systematic literature review of 59 conceptual research papers from 238 bodies of literature. For the integrative conceptual framework, the elements of the dynamic capabilities are segmented into organizational learning and strategic choices with sensing, seizing, and reconfiguring stages. In addition, our conceptual framework lays a foundation for further empirical studies, with investigating sources of competitive advantage of market leading firms.

• Journal of the Korea Society of Computer and Information
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• v.4 no.1
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• pp.62-67
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• 1999

The neural network is a static network that consists of a number of layer: input layer, output layer and one or more hidden layer connected in a feed forward way. The popularity of neural network appear to be its ability of learning and approximation capability. The Elman Neural Network proposed the J. Elman, is a type of recurrent network. Is has the feedback links from hidden layer to context layer. So Elman Neural Network is the better performance than the neural network. In this paper. we propose the Modified Elman Neural Network. The structure of a MENN is based on the basic ENN. The recurrency of the network is due to the feedback links from the output layer and the hidden layer to the context layer. In order to certify the usefulness of the proposed method, the MENN apply to the X-Y cartesian tracking system. Simulation shows that the proposed MENN method is better performance than the multi layer neural network and ENN.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.1
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• pp.40-49
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• 2004

In this paper, we propose a new architecture of Genetic Algorithms(GAs)-based Self-Organizing Polynomial Neural Networks(SOPNN), discuss a comprehensive design methodology and carry out a series of numeric experiments. The conventional SOPNN is based on the extended Group Method of Data Handling(GMDH) method and utilized the polynomial order (viz. linear, quadratic, and modified quadratic) as well as the number of node inputs fixed (selected in advance by designer) at Polynomial Neurons (or nodes) located in each layer through a growth process of the network. Moreover it does not guarantee that the SOPNN generated through learning has the optimal network architecture. But the proposed GA-based SOPNN enable the architecture to be a structurally more optimized network, and to be much more flexible and preferable neural network than the conventional SOPNN. In order to generate the structurally optimized SOPNN, GA-based design procedure at each stage (layer) of SOPNN leads to the selection of preferred nodes (or PNs) with optimal parameters- such as the number of input variables, input variables, and the order of the polynomial-available within SOPNN. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization (predictive) abilities of the model. A detailed design procedure is discussed in detail. To evaluate the performance of the GA-based SOPNN, the model is experimented with using two time series data (gas furnace and NOx emission process data of gas turbine power plant). A comparative analysis shows that the proposed GA-based SOPNN is model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.427-445
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• 2010

In our knowledge-based society, a corporation's main growth engine consists of its unique core competences and how these are organized rather than materialized competitive advantage. Intangible factors such as creative organizational culture, learning capability, brands, marketing ability and technology are notable examples of such core competencies. To ensure constant development of a corporation, it is important to understand the environment in which these factors operate. Drawing on literature research, this paper looks at organizational culture and change, and employees' attitudes and resistance factors to such change. To strengthen the explanation of this study the Korea Asset Management Corporation was used as a case study. From the point of view of information science, knowledge has been viewed as that which is found in books and databases. Such "knowledge" is storable, passive and unchangeable. However, more recently it is seen by many researchers that this approach is limited in that it ignores the knowledge that "sits" in human "bodyminds" and organizations. Such knowledge forms the backbone of organizational culture and should be considered in any meaningful study of information.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.241-262
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• 2006

The University libraries need to develop the balanced scorecard concerning general management in order to measure the total performance of the organization that measure not only quantity measurement based on resources and quality measurement based on information services but also effectiveness of resource utilization, efficiency ability providing the services and potential capability of the members adopting the diverse changes flexibility as organic organization under the rapidly changing circumstances nowadays. This study developed the BSC model into the four perspectives such as customer, resource, internal process, learning and growing modifying BSC model developed by Kaplan and Norton to fit university libraries as nonprofit organization and developed the strategic map and performance measurement indicators on the strategy of each perspective. Ultimately, this study tried to provide an integrated strategic management indicators providing comprehensive picture of university libraries from strategic plan to performance applying the BSC linking strategic plan.

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.606-614
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• 2012

Face detection using AdaBoost algorithm is one of the fastest and the most robust face detection algorithm so many improvements or extensions of this method have been proposed. However, almost all previous approaches deal with only frontal face and suffer from limited discriminant capability for inclined face because these methods apply the same features for both frontal and inclined face. Also conventional approaches for detecting inclined face which apply frontal face detecting method to inclined input image or make different detectors for each angle require heavy computational complexity and show low detection rate. In order to overcome this problem, a method for detecting inclined face using JointBoost is proposed in this paper. The computational and sample complexity is reduced by finding common features that can be shared across the classes. Simulation results show that the detection rate of the proposed method is at least 2% higher than that of the conventional AdaBoost method under the learning condition with the same iteration number. Also the proposed method not only detects the existence of a face but also gives information about the inclined direction of the detected face.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.106-115
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• 2015

This study examined the effectiveness according to multicultural attitude and emphatic ability of nursing students learning the multi-culture-understanding subject. A 13-week program aimed at understanding multi-cultural aspects was given to 110 freshmen, who were taking the subject and agreed to participate in the research. Analysis by a paired t-test using ANOVA of SPSS 18.0 and posteriori tests by Scheffe were performed. Through this subject, the nursing students showed improved attitude and emphatic ability. The increase in emphatic ability showed a slight difference according to age (lower) and the existence of foreign friends, while the attitude had small distinction in areas, such as activeness and openness. The multi-culture-understanding subject has a positive effect in attitude and emphatic ability. In the future, there must be verification and qualification of the program because it improves the multicultural capability.

• Journal of Korean society of Dental Hygiene
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• v.12 no.5
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• pp.1049-1058
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• 2012

Objectives : It will be necessary to make statement about the competence targeted in the dental hygienic education that adopts the competence-based curriculum from the standpoint of core competence which the students need to be equipped with in the society. Methods : To achieve the education objective of Dental Hygienics, the information available on the website of the Korean Dental Association, universities and graduate schools were used, and the education objectives of the concerned universities which were posted in the websites of 82 universities from July to August, 2011 were analyzed. Results : C7 and C1 accounted for 21.1%, the highest percentage, in the core capability, while HP1 comprised 79.6% in the health improvement and disease prevention. CM1 stood at 73.7%, the highest percentage, in the community involvement(CM) area, and PC4 accounted for 90.8%, the highest percentage, in the patient care(PC) area. In the professional growth and development(PGD) area, PGD1 was the highest, followed by PGD3. In relation to the comments on the occupational types after graduation, 63.1% of respondents mentioned the dental hygienists at the school, while 33.3% did not make any comment on the dental hygienists. Conclusions It was necessary to re-establish the essential objectives of the graduates based on the competence as the accomplishments of studying and learning in the department of dental hygiene. It may be a useful method to set the competency-based education objective on the basis of the implementation ability and the level of graduates.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.76-80
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• 2017

With the fast growing popularity of small UAVs (Unmanned Aerial Vehicles), recent UAV systems have been designed and utilized for the various field with their own specific purposes. UAVs are opening up many new opportunities in the fields of electronics, sensors, camera, and software for pilots. Increase in awareness and mission capabilities of UAVs are driving innovations and new applications driven with the help of low cost and its capability in undertaking high threat task. In particular, small unmanned aerial vehicles should fly in environments with high probability of unexpected sudden change or obstacle appearance in low altitude situations. In this paper, current researches regarding techniques of autonomous flight of smal UAV systems are introduced and we propose a draft idea for planning paths for small unmanned aerial vehicles in adversarial environments to arrive at the given target safely with low cost sensors.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.105-112
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• 2010

In this paper, the bio-signals, such as EEG, ECG were measured with a sensor and their characters were drawn out and analyzed. With results from the analysis, four emotion of rest, concentration, tension and depression were inferred. In order to assess one's emotion, the characteristic vectors were drawn out by applying various ways, including the frequency analysis of the bio-signals like the measured EEG and HRV. RBFN, a neural network of the complex structure of unsupervised and supervised learning, was applied to classify and infer the deducted information. Through experiments, the system suggested in this thesis showed better capability to classify and infer than other systems using a different neural network. As follow-up research tasks, the recognizance rate of the measured bio-signals should be improved. Also, the technology which can be applied to the wired or wireless sensor measuring the bio-signals more easily and to wearable computing should be developed.