• Research in Mathematical Education
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• v.8 no.3
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• pp.145-155
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• 2004

Mathematics, by its nature, is a creative activity. Creativity can be developed either through considering its intrinsic beauty or by examining the role that it plays in applications to real world problems. Many of the great mathematicians have been vitally interested in applications and gained inspiration in developing new mathematics from the mathematical descriptions of physical phenomena. In this paper we will examine the processes of applying mathematics by looking at how mathematical models are formed and used. Applications from sport, the environment and populations are used as illustrations.

• 한국초전도학회:학술대회논문집
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• 2008.08a
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• pp.46-46
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• 2008

• Laser Solutions
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• v.3 no.1
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• pp.2-11
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• 2000

Laser cleaning has begun to attract a considerable amount of interest recently as a new cleaning technique among scientists and engineers. The unique characteristics of laser cleaning are currently finding successful applications in industry, in medicine as well as in the world of art conservation. This paper takes an overview of the laser cleaning technique itself including basic principles and characteristics, and provides an account of current trends especially with regard to practical applications. Experience with its successful applications in various fields shows that laser cleaning may be about to emerge as a real alternative to conventional cleaning methods.

• Proceedings of the Korean Magnestics Society Conference
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• 2000.09a
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• pp.61-81
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• 2000

Developed two GMR memory architectures, 1R/0T for high density applications, 2R/5T for high speed applications, Embedded GMR technology shall offer rad hard community, Dynamic Reprogrammability, Rapid System Reconfigurability, Code modification in flight, Embedded GMR technology is promising for commercial applications

• Proceedings of the Korean Magnestics Society Conference
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• 2008.12a
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• pp.21.2-21.2
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• 2008

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.3
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• pp.202-208
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• 2007

Recently, a lot of research have been studied to apply wireless sensor networks to USN applications. The characteristics of USN applications is that they are varied according to the sort of sensors and sensing objects. They includes military applications, water pollusion monitoring, intelligent traffic system, farm, logistics, location position applications, and so on. There is no traditional method to classify these applications. In this paper, we propose a taxonomy scheme to classify USN applications. The criteria is based on 3 properties, the criticalness of services, the mobility of sensing entity, and the mobility of sensed objects, to classify them into 8 groups. We also describe the technical issues and related works in them. Our taxonomy can make USN applications to be easily understood and memorized.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.268-289
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• 2016

While most of studies have paid attention to the initial adoption of a specific application, research on applications has not focused on an individual's update decision process. This study draws upon both dual information processing and status quo bias perspectives as a comprehensive theoretical lens to explain why individuals do not update their applications. This study assumes that individuals' inertia could be the main reason for their reluctance to update the applications. Based on a survey of 186 smartphone users, this study demonstrated that both habit as an affective trigger of system 1 thinking and sunk cost as a cognitive trigger of system 2 thinking promoted the two types of inertia (i.e., affective and cognitive based inertia) in individuals, which have a negative effect on their willingness to update their applications. By grounding the research model in a theoretical view, such as dual information processing and status quo bias, this study provides a unique theoretical lens from which to view individuals' behaviors, thereby gaining a better understanding of their decision not to update to the current version of applications. This study also investigates the moderating effect of the types of applications on the relationships between affective/cognitive-based inertia and willingness to update. Results show that both habit and sunk cost decrease the willingness to update because they increase both affective and cognitive-based inertia. This study also found that the effects of affective/cognitive based inertia differed depending on the type of applications.

• Journal of Fashion Business
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• v.16 no.2
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• pp.27-43
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• 2012

Considering the rapid growth of mobile industry and the emerging application marketing, this study focused on fashion applications, which had not drawn much academic attention before, and analysed relevant content composition, information-seeking benefits based on users' lifestyles and resulting differences in satisfaction and loyalty. In short, fashion applications were divided into fashion and non-fashion brand apps. Brand apps were subdivided into luxury, women's wear, men's wear, casual wear, sportswear, accessories and the like. Non-brand apps included commerce, magazine, information, style tip, SNS and wardrobe manager types. As for users' lifestyle-based information search, the higher the tendency to search information on the internet and to favour reasonable consumption, the more basic information on products and brands they sought, whereas the higher the tendency to look for high-profile brands and to favour global culture, the more additional information like images or entertainments they sought. To sum up, given that studies on fashion-specific applications were rare, the present study reviewed and categorized current fashion applications, and suggested theoretical and practical groundwork for developing content based on target consumers' lifestyle and for planning fashion applications in practice.

• Journal of Information Technology Services
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• v.9 no.3
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• pp.65-82
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• 2010

Mobile applications market has emerged as new business model. The purpose of this study is to analyze the factors of mobile applications adoption. Based on prior studies of TAM and mobile technology/service, service quality, user experience, OS compatibility, self-efficacy, innovativeness, perceived usefulness, perceived ease of use, and cost were identified as affecting factors of mobile applications adoption. According to the results, service quality is significantly related to the perceived usefulness, and self-efficacy and innovativeness are significantly related to the perceived ease of use. User experience was also found to be related to both the perceived usefulness and the perceived ease of use. In case of OS compatibility, it was found to be significantly related to the perceived ease of use, but not to the perceived usefulness. Both the perceived usefulness and the perceived ease of use were found to be related to the adoption of mobile applications. However, cost was not found to be significant to the relationship between the perceived usefulness/the perceived ease of use and the adoption of mobile applications. This study contributes to provide the base of activation strategies and practical implications for mobile applications.

• Journal of Information Processing Systems
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• v.10 no.4
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• pp.491-502
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• 2014

In this paper we present some research results on computing intensive applications using modern high performance architectures and from the perspective of high computational needs. Computing intensive applications are an important family of applications in distributed computing domain. They have been object of study using different distributed computing paradigms and infrastructures. Such applications distinguish for their demanding needs for CPU computing, independently of the amount of data associated with the problem instance. Among computing intensive applications, there are applications based on simulations, aiming to maximize system resources for processing large computations for simulation. In this research work, we consider an application that simulates scheduling and resource allocation in a Grid computing system using Genetic Algorithms. In such application, a rather large number of simulations is needed to extract meaningful statistical results about the behavior of the simulation results. We study the performance of Oracle Grid Engine for such application running in a Cluster of high computing capacities. Several scenarios were generated to measure the response time and queuing time under different workloads and number of nodes in the cluster.