• Journal of KIISE:Software and Applications
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• v.37 no.12
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• pp.892-908
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• 2010

Services in SOA are typically perceived as black-box to service consumers, and can be dynamically evolved at runtime, and run on a number of unknown and heterogeneous environments. Because of these characteristics of the services, effective and efficient monitoring of various aspects on services is an essential functionality for autonomous management of service. But the problem with or limitation in conventional or existing approaches is, that they focus on services themselves, ignoring the effects by business processes. Consequently, there is a room for service monitoring which provides more useful information of business level by acquisition of only external monitoring data that depend on specific BPEL engine and middleware. Moreover, there is a strong demand to present effective methods to reduce monitoring overhead which can degrade quality of services. EDA can cope with such limitations in SOA by collecting and analyzing events efficiently. In this paper, we first describe EDA benefits in service monitoring, and classify monitorring target, and present an appropriate monitoring method for each monitoring target. Also to provide the applicability of our approach, an event meta-model is defined, and event processing model and architecture based on the meta-model are proposed. And, with the proposed architecture and method, we implement a prototype of an event-driven dynamic monitoring framework which can collect and process internal and external data at runtime. Finally, we present the result of a case study to demonstrate the effectiveness and applicability of the proposed approach.

• Journal of Technology Innovation
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• v.27 no.2
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• pp.37-71
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• 2019

How has the passenger car's architecture evolved? In the meantime, the discussions on the car architecture have been mixed, i.e., integral, modular, and the coexistence of two types. Therefore, in this study, we aim to develop two indices can measure the degree of modularization of passenger car and its all modules using global trade data. By applying the indices to the framework of architecture positioning that reflects the hierarchical structure of a product, we examined that the degree of modularization of the passenger car architecture has been enhanced. Meanwhile, the degree of modularization differs across the modules that make up the car. Specifically, we observed the higher degree of modularization in front-end, cockpit and seat modules. Whereas, we found that body module had a relatively low degree of modularization. In particular, we observed that the platform of passenger car has notably modularized due to carmakers' efforts to achieve model diversification and reduction of cost and period in new product development at the same time. Interestingly, we showed that three modules, i.e., engine, chassis (relatively less modularized), and transmission (relatively highly modularized), had a different level of modularization, even if they commonly make up the platform. We contribute to the suggestion for analytical approaches that examine the degree of modularization and its progress longitudinally. In addition, we propose the necessity of decomposition of a system into elements in a study of product architecture, considering the possibly distinctive progress of modularization across the elements.

• 한국체육학회지인문사회과학편
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• v.55 no.5
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• pp.619-633
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• 2016

In March 26th, 2016, two major sport organizations of South Korea, Korean Olympic Committee and the Korean Council of Sports for All, have merged with the ultimate goal of improving health and wellness among Korean people through sport and physical activity participation. Integration of sport system intended to shift the paradigm from "old" to "new", and can be a catalyzer to promote Korea as a developed nation with the delivery of quality sport. This study critically reviewed the Canadian Sport for Life-Long-Term Athlete Development (CS4L-LTAD) which serves as a platform to integrate and operate sport organizations in Canada, and discussed the feasibility and adaptability of CS4L-LTAD in the Korean context. This study also introduced Integrated Model for Korea Sport System developed based on the CS4L-LTAD framework, and addressed key strategies that will drive to the successful implementation of the model. The Integrated Model for Korea Sport System offers ways to improve the quality of sport and physical activity for all Koreans by linking sport, recreation, physical education, and health, and by aligning programs and services across different settings: school, elite, and community sports. The recent restructure and redesign of Korea sport system will play vital roles in promoting the overall welfare of all Koreans, regardless of one's sex, age, disability, and sociodemographic status by providing inclusive, ethical, and holistic framework that is appropriate for the Korea sport system.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.4
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• pp.267-274
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• 2024

Hydrogen embrittlement fracture poses a challenge in ensuring the structural integrity of materials exposed to hydrogen-rich environments. This study advances our comprehension of hydrogen-induced fracture through an integrated numerical modeling approach. In addition, it employs a ductile fracture model named the Gurson-cohesive model (GCM) and hydrogen diffusion analysis. GCM is employed as a fracture model that combines the Gurson model to illustrate the continuum damage evolution and the cohesive zone model to describe crack surface discontinuity and softening behavior. Moreover, porosity and stress triaxiality are considered as crack initiation criteria . A hydrogen diffusion analysis is also integrated with the GCM to account for hydrogen enhanced decohesion (HEDE) mechanisms and their subsequent impacts on crack initiation and propagation. This framework considers the influence of hydrogen on the softening behavior of the traction-separation relationship on the discontinuous crack surface. Parametric studies explore the sensitivity to diffusion properties and hydrogen-induced fracture properties. By combining numerical models of hydrogen diffusion and the ductile fracture model, this study provides an understanding of hydrogen-induced fracture and thereby contributes significantly to the ongoing efforts to design materials that are resilient to hydrogen embrittlement in practical engineering applications.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.188-192
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• 2007

Today, the most pivotal issue in the national research and development, and national scientific and technical policy is to overcome uncertainties in the environment of technology development. The social and economic environment around us is at restricted uncertainty (complex system) where order and disorder coexist. Furthermore, the environment of technology development is more complicated. In order to bring about creativity in practices of technology development, we need a paradigm shift towards a new framework for the construction of the national scientific and technical information infrastructure, which entails a shift to creativity, self-organization and dynamic capability. The paradigm shift will lead the present scientific and technical information infrastructure which centers on information sharing, to move towards one that enables information coherence through self-organization. Thus, it is expected that the new Web 3.0 will provide a client-flexible analysis information system that will make information coherence and feedback possible. Through this system, the policy for the construction of a new scientific and technical infrastructure will evolve, which will bring about co-evolution of individual's knowledge through sharing of self-organizaed knowhow.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.119-138
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• 2017

Recently, SNS has become an important channel for marketing as well as personal communication. However, cybercrime has also evolved with the development of information and communication technology, and illegal advertising is distributed to SNS in large quantity. As a result, personal information is lost and even monetary damages occur more frequently. In this study, we propose a method to analyze which sentences and documents, which have been sent to the SNS, are related to financial fraud. First of all, as a conceptual framework, we developed a matrix of conceptual characteristics of cybercriminality on SNS and emergency management. We also suggested emergency management process which consists of Pre-Cybercriminality (e.g. risk identification) and Post-Cybercriminality steps. Among those we focused on risk identification in this paper. The main process consists of data collection, preprocessing and analysis. First, we selected two words 'daechul(loan)' and 'sachae(private loan)' as seed words and collected data with this word from SNS such as twitter. The collected data are given to the two researchers to decide whether they are related to the cybercriminality, particularly financial fraud, or not. Then we selected some of them as keywords if the vocabularies are related to the nominals and symbols. With the selected keywords, we searched and collected data from web materials such as twitter, news, blog, and more than 820,000 articles collected. The collected articles were refined through preprocessing and made into learning data. The preprocessing process is divided into performing morphological analysis step, removing stop words step, and selecting valid part-of-speech step. In the morphological analysis step, a complex sentence is transformed into some morpheme units to enable mechanical analysis. In the removing stop words step, non-lexical elements such as numbers, punctuation marks, and double spaces are removed from the text. In the step of selecting valid part-of-speech, only two kinds of nouns and symbols are considered. Since nouns could refer to things, the intent of message is expressed better than the other part-of-speech. Moreover, the more illegal the text is, the more frequently symbols are used. The selected data is given 'legal' or 'illegal'. To make the selected data as learning data through the preprocessing process, it is necessary to classify whether each data is legitimate or not. The processed data is then converted into Corpus type and Document-Term Matrix. Finally, the two types of 'legal' and 'illegal' files were mixed and randomly divided into learning data set and test data set. In this study, we set the learning data as 70% and the test data as 30%. SVM was used as the discrimination algorithm. Since SVM requires gamma and cost values as the main parameters, we set gamma as 0.5 and cost as 10, based on the optimal value function. The cost is set higher than general cases. To show the feasibility of the idea proposed in this paper, we compared the proposed method with MLE (Maximum Likelihood Estimation), Term Frequency, and Collective Intelligence method. Overall accuracy and was used as the metric. As a result, the overall accuracy of the proposed method was 92.41% of illegal loan advertisement and 77.75% of illegal visit sales, which is apparently superior to that of the Term Frequency, MLE, etc. Hence, the result suggests that the proposed method is valid and usable practically. In this paper, we propose a framework for crisis management caused by abnormalities of unstructured data sources such as SNS. We hope this study will contribute to the academia by identifying what to consider when applying the SVM-like discrimination algorithm to text analysis. Moreover, the study will also contribute to the practitioners in the field of brand management and opinion mining.

• Korean Journal of Heritage: History & Science
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• v.55 no.1
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• pp.133-150
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• 2022

Calling the 21th century the age of 'cultural competition' is not an overstatement. In an era of globalization, we try to find the 'identity of our country' in our culture. 'Culture' is the unique ethnicity of the people of each country that reflects the traces of their lives. As the world is transforming into a multi-dimensional place, traditional patterns in reference to cultural uniqueness and original formativeness are the brands that represent the people. France's luxury brand, GOYARD's Y-shaped pattern naturally made during the persistent traditional handmade process is still France's representative corporate brand and is considered prestigious even after 150 years have passed. On the other hand, in low-income countries, patterns created in the natural process of weaving fabrics are succeeded as a unique cultural aesthetic and are loved by people all over the world. Like this, people living in the global multi-dimensional world look to attain the framework 'One Planet Perspective' which is to succeed their own native culture and preserve the unique culture of others. For example, in the process of international relief organizations delivering relief supplies to Columbia's "Wayu tribe" due to the water shortage in 2013, a handmade product, "Mochila Bag" was discovered. Triggered by this incident, Europe and Korea decide to import it to support the livelihood of the "Wayu tribe." Also, the aesthetic and cultural values of the traditional culture in minority tribes that have evolved through thousands of years have been listed on UNESCO and preserved worldwide. Likewise, culture doesn't suddenly appear overnight, but rather the brand representing the company is the pattern used in the trend of the era kept for over 100 years. Moreover, patterns that reflect the country's identity are inherited as the unique aesthetic of the culture. Our country does inherit the unique aesthetic of our culture, but doesn't have a 'strong image' that displays the practical value reinterpreted creatively and aesthetically to fit the modern trend. Traditional patterns are important in perspective of study and theoretical research, but the brand's image using those patterns is a new medium from the past existence continuing to the current tradition. Furthermore, this study suggests that the image of a company that uses traditional patterns will have high economical potential as a national brand.