• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.61-67
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• 2014

A SaaS cloud service represents a model deployed and running on a cloud platform to enable users to use software as an online service. This work proposes a development methodology adequate for the effective development of SaaS cloud services. For doing this, we first analyzed the current state of companies developing SaaS cloud services and identified key factors for the development of SaaS cloud services. Then, we selected and tailored the methodology that is best suited for the development of SaaS cloud services among existing software development methodologies. To validate the applicability of the proposed methodology, we performed a case study tailoring the development methodology adequate for the company developing SaaS cloud services.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.2
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• pp.87-99
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• 2014

An AUTomotive Open System ARchitecture (AUTOSAR) is a de-facto standardized software platform, which developed for an automotive Electronic Control Unit (ECU) in global automotive industry. AUTOSAR improves the reusability and the scalability, thus the software development can be easier, faster and more reliable. However, it requires a lot of time and efforts to develop an AUTOSAR software due to the difficulties of understanding of massive AUTOSAR documentations and complicated usage of AUTOSAR design tools. AUTOSAR training is offered by AUTOSAR design tool venders but it is limited to introduction of their simplified concept and usages based on PC. Therefore the training is not enough for industrial developers or graduate students. In this paper we present an AUTOSAR starter kit which allows industrial engineers and graduate students to practice the detailed process of AUTOSAR software development easily and more conveniently. The kit is composed of a practical environment similar to actual automotive system and a textbook that explains how to design AUTOSAR software. And we demonstrated the validity of our methodology based on a case study.

• Journal of Broadcast Engineering
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• v.25 no.4
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• pp.620-628
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• 2020

Automatically predicting video highlight is an important task for media industry and streaming platform providers to save time and cost of manual video editing process. We propose a new ensemble model that combines multiple highlight detectors with each focusing on different parts of highlight events. Therefore, our model can capture more information-rich sections of events. Furthermore, the proposed model can extract improved features for highlight detection particularly when the train video set is small. We evaluate our model on e-sports and baseball videos.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.469-472
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• 2012

This Paper studied out prototype and the structure of Convergence on Cultures Industry and started with issues based on Local Cultures Design in New Media. platform with the New Media have the information that aims to develop relationships with Local Culture. In a world where the paradigm is changing the Convergence of all ages, transcending national borders in the mediator role of modern could have been important. Under this Situation, this study has a significant meaning because it proves that the Local Cultures Design in Degital Contents is analyzed by New Media.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.89-101
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• 2012

This paper presents development of a management system for the health and diseases of the elderly. This study aimed to the promotion of the u-healthcare industry and to the increase in its competitive power by developing and expanding a system for managing the health and diseases of the elderly, in cooperation with u-healthcare companies. The study is underway through the following four substudies. In the first substudy titled development of the bio-signal collection and analysis technology using smart media, a technology that supports the collection of bio-signals in the elderly using portable terminals. In the second substudy titled development of the patient-specific healthcare platform expansion and enhancement technology, a technology is being developed for making medical decisions and taking measures based on the results of the processing of the collected bio-signals. In the third substudy titled development of the N-screen based healthcare contents open service technology, a technology is being developed to provide information on health, diseases, and medicine to platforms. In the fourth substudy titled development of the oriental medicine diagnosis and analysis technology for senile diseases. This study is expected to help ensure an excellent workforce and new technologies in the healthcare sector using smart phones, and to help reduce medical expenses by improving the health of citizens.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.831-843
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• 2010

This paper examines the advertisements for mass-produced women's clothing, which appeared in the 1980s issues of the fashion magazine Wolganmeot. This study explores the communicative aspect of fashion advertisements of the 1980s as a platform for complex and dynamic interactions between fashion brands, female consumers, and the rapidly changing social, cultural, and economic conditions of the period. The research focuses on advertisements in the formal and character casual categories that targeted young, urban, and career-seeking women. Based on the analysis of the visual and textual elements of the advertisements from a pragmatics perspective, this paper concludes that fashion brands sought to highlight an 'intelligent', 'urban', and 'individualistic' image of women. It also proposes that the prevalence of assertive and straightforward textual elements, copies, indicates the efforts of fashion brands to stabilize and reinforce the advertising messages in the fast-evolving landscapes of the fashion industry and changing consumption habits.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.4
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• pp.30-35
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• 2014

According to weight lightning trend of automobile body, necessity of resistance spot welding (RSW) of Mg alloy on automobile industry is increasing rapidly because of the highest specific strength among commercial metals. Mg alloy has low electric resistance and high thermal conductivity like as Al alloy, so that needs applying high current in short time when welding. Thick oxide film of Mg alloy pollutes the electrodes and makes partial current carrying paths when on welding. Partial current carrying paths signify excessive concentration of current. There can initiate expulsion easily and reduces electrode life rapidly. Generating partial current carrying paths and expulsions are influenced by shapes of electrode. Therefore, electrode life also influenced by shape. In this study, we perform life test of RSW electrode of radius type. Measure tensile shear load and nugget size every spot alternately. As a result, radius type electrode can extend life over twice as dome type electrode.

• Journal of the Korean Society of Radiology
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• v.10 no.8
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• pp.637-643
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• 2016

Due to the popularity of artificial intelligent, medical image processing using artificial neural network is increasingly attracting the attention of academic and industry researches. Deep learning with a convolutional neural network has been proved to very effective representation of images. However, the training process requires high performance H/W platform. Thus, the realtime learning of a large number of high dimensional samples within low-power devices is a challenging problem. In this paper, we attempt to establish this possibility by presenting a realtime neural network method on Raspberry pi using online sequential extreme learning machine. Our experiments on high-dimensional dataset show that the proposed method records an almost real-time execution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.529-546
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• 2012

To address the need for autonomous control of remote and distributed mobile systems, Machine-to-Machine (M2M) communications are rapidly gaining attention from both academia and industry. M2M communications have recently been deployed in smart grid, home networking, health care, and vehicular networking environments. This paper focuses on M2M communications in the vehicular networking context and investigates areas where M2M principles can improve vehicular networking. Since connected vehicles are essentially a network of machines that are communicating, preferably autonomously, vehicular networks can benefit a lot from M2M communications support. The M2M paradigm enhances vehicular networking by supporting large-scale deployment of devices, cross-platform networking, autonomous monitoring and control, visualization of the system and measurements, and security. We also present some of the challenges that still need to be addressed to fully enable M2M support in the vehicular networking environment. Of these, component standardization and data security management are considered to be the most significant challenges.

• Computers and Concrete
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• v.25 no.1
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• pp.29-36
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• 2020

This work presents a numerical modeling procedure to simulate the refractory concrete lining in fluid catalytic cracking units of oil refineries. The model includes the simulation of the anchors that reinforce the contact between the refractory concrete and the steel casing. For this purpose, the constitutive relations of an interface finite element are set to values that represent the homogenized behavior of the anchored interface. The parameters of this constitutive relation can be obtained by experimental tests. The model includes also multi-surface plasticity, in order to represent the behavior of the refractory concrete lining. Since the complexity of real case applications leads to high computational costs, the models presented here were implemented in a high-performance parallelized finite element platform. A case study representing a riser similar to the ones used by the refinery industry demonstrates the potential of the model.