• Proceedings of the KIEE Conference
• /
• 2007.04a
• /
• pp.261-263
• /
• 2007

Authentication is a mechanism to establish proof of identities, the authentication process ensure that. Who a particular user is. Nowadays PC and laptop user authentication systems are always done once a hold until s explicitly revoked by the user, or asking the user to frequently reestablish his identity which encouraging him to disable authentication. Zero-Interaction Authentication (ZIA) provides solution to this problem. In ZIA,. a user wears a small authentication token that communicates with a laptop over a short-range, wireless link. ZIA combine authentication with a file encryption. Here we proposed a Laptop-user Authentication Based Mobile phone (LABM). In our model of authentication, a user uses his Bluetooth-enabled mobile phone, which work as an authentication token that provides the authentication for laptop over a Bluetooth wireless link, m the concept of transient authentication with our combining It with encryption file system. The user authenticate to the mobile phone infrequently. In turn, the mobile phone continuously authenticates to the laptop by means of the short-range, wireless link.

• Journal of Korea Game Society
• /
• v.16 no.4
• /
• pp.35-44
• /
• 2016

To apply the player's experiences to the design process of the game levels set by the developer, gameplay behavior analysis is needed. The player's behavior which is different by how much he got experiences from the play has generally been studied by one computational approach based on numerical data and the other HCI(human-computer interaction) approach through heuristic analysis. For the analysis of the player's behavior with the level design patterns in FPS(first-person shooter) games, in this paper those methods are used to code 12 main types of action, which in turn is simply categorized into 5 kinds of behavior pattern. Along with it, an optimized visualization is proposed to intuitively compare the flow of behavior pattern with the time of playing game.

• The Bulletin of The Korean Astronomical Society
• /
• v.41 no.1
• /
• pp.33.2-33.2
• /
• 2016

Since the serendipitous discovery of a large-scale atomic hydrogen ($H_I$) ring discovered in the Leo I galaxy group, its origin has been under debate till today, whether it is the leftover after group formation or stripped gas structure during the galaxy-galaxy interaction. Intriguingly a number of $H_I$ clumps have been identified along the gas ring, some of which turn out to be associated with optically catalogued dwarf galaxies. The formation history based on detailed optical and $H_I$ gas properties of those dwarf galaxies will enable us to verify the origin of the Leo ring. In this work, we first probe the redshift and multi-color properties of those dwarf galaxies, using deep photometric and spectroscopic data from CFHT, Gemini and Magellan telescope.

• Journal of the Korean Geosynthetics Society
• /
• v.19 no.1
• /
• pp.1-9
• /
• 2020

This paper presents the results of experimental investigation on the effect of degree of saturation of soil on the pullout behavior of a geogrid. Different test variables were taken into account while performing the experiment including the soil physical conditions based on water content and external loading applied. The soil used was locally available weathered granite soil. The tests included variations in saturation of about 90%, 80%, 70% and 45% (optimum moisture content). The pullout tests were performed according to ASTM standard D 6706-01. The results indicate that increasing the degree of saturation in the soil decreases the pull-out capacity, which in turn decreases the interface friction angle and interaction coefficient. The decrease in the pullout interface coefficient was observed to be around 12.50% to 33.33% depending on the normal load and degree of saturation of the soil. The test results demonstrated the detrimental effect of increasing the degree of saturation within the reinforce soil on the pullout behavior of reinforcement, thus on the internal stability. The practical inferences of the outcomes are analyzed in detail.

• Fashion, Industry and Education
• /
• v.15 no.1
• /
• pp.44-58
• /
• 2017

The purpose of this research is to explore how Millennials mitigate perceived risks that occur during online apparel purchasing decisions through social interactions based on social learning theory. Also, this research investigates concerns generated from interactions with others when consuming apparel online. An exploratory investigation was undertaken with 78 undergraduate students using an online survey that included open and closed questions. Qualitative data revealed positive relationships between consumers' social interactions and purchases of apparel products online. Specifically, information searches through social interactions with trusted individuals utilizing online channels were found to validate purchasing decisions and alleviate perceived risks with purchasing apparel products online. However, consumers were also concerned with certain interactions due to the lack of credibility regarding reviewers, channels, and conflicting information. These findings provide an insight into millennial consumers' learning processes through consumer-to-consumer interactions in social media environments for apparel purchases. As online and mobile shopping along with consumers' social media usage for interacting continue to increase, these research findings guide retailers how to turn their attention to investing and utilizing these channels to enhance millennial consumers' positive purchasing experiences online.

• Journal of Hydrospace Technology
• /
• v.1 no.1
• /
• pp.29-40
• /
• 1995

This paper describes the procedure to predict steady and unsteady performances of a contrarotating propeller(CRP) by a mixed formulation of the boundary value problem(BVP) far the flow around a CRP. The blade BVP is treated by a classical vortex lattice method, whereas the hub BVP is solved by a potential-based panel method. Blades and trailing wakes are represented by a vortex and/or source lattice system, and hubs are represented by normal dipole and source distributions. Both forward and aft propellers are solved simultaneously, thus treating the interaction effect without iteration. The unsteady performance is computed directly in time domain. The new numerical procedure requires a large amount of storage and computing time, which is however no longer a limit in a modern computer system. Sample computations show that the steady performance compares very well with the experiments. The predicted unsteady behavior shows that the dominant harmonics of the total forces are multiples of not only the number of blades of the forward and aft propellers but also the product of both blade numbers. The magnitude of the latter harmonics, present also in uniform oncoming flow, may reach abort 50% of the mean torque for the aft propeller, which in turn may cause a serious vibration problem in the complicated contrarotating shafting system.

• The Journal of Industrial Distribution & Business
• /
• v.15 no.1
• /
• pp.31-39
• /
• 2024

Purpose: Through an ethical supply chain, brands not only catch the eye but win over a fan base of consumers who prize credibility and consistency in what they purchase. Currently, the ethical supply chain is no longer just a manufacturing process; it has become a compelling story. It draws people's attention and wins their loyalty. This research study will examine the benefits of an ethical supply chain in attracting consumer attention and building brand loyalty. Research design, data and methodology: For this research study, A detailed method was used to search and analyze relevant articles. Initial searches used set terms in certain databases. Screening criteria were the thorough scrutiny of titles and abstracts to decide their relevance to the study at hand. Thus, to enhance the quality of data, duplicate entries were deleted. Results: Based on the analysis of the prior literature, the results highlight the power of ethical saliency, showing that consumers themselves are looking for and rewarding products that meet their ethical standards. This attention to ethically transparent brands, in turn, encourages more interest and interaction with them. Conclusions: Therefore, practitioners must transmit the firm's ethical standards through all channels of communication-investor relations materials and financial reports alike.

• Asia pacific journal of information systems
• /
• v.33 no.3
• /
• pp.624-651
• /
• 2023

The study makes several contributions to not only the adoption literature by examining the influence of Emotional Intelligence (EI) and Big-Five traits on adoption of Augmented Reality (AR) but also given its utility in both industry and research, it contributes to the interesting inter-disciplinary domain of psychology, information systems, and human behaviour. A quantitative based approach using a sample of 275 respondents was undertaken. It is found that emotional intelligence influence both perceived ease-of-use and perceived usefulness. They in turn influence intention to use. Another important observation is that personality traits (openness and agreeableness) have a significant moderating effect on the relation between attitude and intention to use AR. This research will help academicians and executives working on the adoption of AR in various sectors ranging from retail industry to the education sector. The originality of this study is that it explores the impact of EI on the acceptance of AR and helps in extending the literature in interdisciplinary research.

• Investigative Magnetic Resonance Imaging
• /
• v.2 no.1
• /
• pp.58-66
• /
• 1998

Purpose : This paper introduces a new three dimensional magnetic Resonance Image classification which is based on Mar kov Random Field-Gibbs Random Field with a line model. Material and Methods : The performance of the Gibbs Classifier over a statistically heterogeneous image can be improved if the local stationary regions in the image are disassociated from each other through the mechanism of the interaction parameters defined at the local neighborhood level. This usually involves the construction of a line model for the image. In this paper we construct a line model for multisignature images based on the differential of the image which can provide an a priori estimate of the unobservable line field, which may lie in regions with significantly different statistics. the line model estimated from the original image data can in turn be used to alter the values of the interaction parameters of the Gibbs Classifier. Results : MRF-Gibbs classifier for volumetric MR images is developed under the condition that the domain of the image classification is $E^{3}$ space rather thatn the conventional $E^{2}$ space. Compared to context free classification, MRF-Gibbs classifier performed better in homogeneous and along boundaries since contextual information is used during the classification. Conclusion : We construct a line model for multisignature, multidimensional image and derive the interaction parameter for determining the energy function of MRF-Gibbs classifier.

• Communications of Mathematical Education
• /
• v.28 no.2
• /
• pp.235-253
• /
• 2014

This study aims to develop strategies for improving the affective characteristics of Korean students based on results from international achievement tests. In pursuing the goal, different research methods are employed including a) analysis of the theories and literature regarding the affective domains included in PISA and TIMSS studies; b) analysis of the current situation and needs of Korean students with respect to the affective factors based on PISA and TIMSS results; c) case studies of best practices in relation to students' affective domains in Korea and abroad; and d) development of strategies for improving and supporting Korean students' affective characteristics. Especially, this paper deals with the analysis of the results from in-depth interviews and class observations, so as to identify the current situation and best practice cases of students' affective characteristics education in Korea. The results are classified into a) curriculum, which is in turn divided into national curriculum and reconstruction of curriculum school and classroom; and b) teaching, learning and evaluation, which is in turn divided into learner characteristics, motivation, teaching strategies, class grouping, activities and interaction, question and feedback, evaluation methods, and evaluation tools. Support plans in terms of school and social environments are also suggested based on the results.