• Journal of Convergence Society for SMB
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• v.5 no.3
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• pp.1-7
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• 2015

Recently, finance technology related to Fin-Tech has emerged while national and international financial incidents have increased. Security technologies that are currently operated in the financial institutions, have been reported to be vulnerable to security attacks. In this paper, we propose a method of response and plan of security incident using Fin-Tech technology in the divers authentication methods and the usage of biometrics. Proposed method provides a convenient banking services to the users by integrating IT technology, such as personal asset management, crowdfunding to finance technology. Also, the proposed method may provide the security with ease by applying the security technologies such as PCI-DSS, tokenization technique, FDS, the block chain. Proposed method analyzes a number of security cases in relation to the Fin-Tech, financial technologies, for a response.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.5
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• pp.188-194
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• 2014

The feature extraction mechanism of the CASA(Computational Auditory Scene Analysis) system uses time continuity and frequency channel similarity to compose a correlogram of auditory elements. In segmentation, we compose a binary mask by using cross-correlation function, mask 1(speech) has the same periodicity and synchronization. However, when there is delay between autocorrelation signals with the same periodicity, it is determined as a speech, which is considered to be a drawback. In this paper, we proposed an algorithm to improve discrimination of channel similarity using Weighted Cross-correlation in segmentation. We conducted experiments to evaluate the speech segregation performance of the CASA system in background noise(siren, machine, white, car, crowd) environments by changing SNR 5dB and 0dB. In this paper, we compared the proposed algorithm to the conventional algorithm. The performance of the proposed algorithm has been improved as following: improvement of 2.75dB at SNR 5dB and 4.84dB at SNR 0dB for background noise environment.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.133-139
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• 2011

We built subway stops in order to meet demand. To do so, a standardized method is used to predict the demand. However, in some subway stops there are only few people moving around sparsely, but in some other stops there are too many people crammed in a crowd. The gap between forecasting and actual uses varies from 10% to more than 1,000%. This study is aimed to find out where this discrepancy between predicted vs. actual demand for urban rail transit comes from. Specifically, 40 subway stops in Seoul Metropolitan Area, which were opened last 10 years, are examined. This study suggests that, for better forecasting, we need to consider stops' locational characteristics as well as weekday commute-oriented exogenous factors. Locational characteristics includes; whether a stops is a terminal and/or weekend tourism node. There seems no "one size fits all" solution for transit demand forecasting; locational characteristics need to be reflected.

• Journal of the Society of Naval Architects of Korea
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• v.50 no.3
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• pp.175-181
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• 2013

This paper presents a simulation for passenger ship evacuation considering the inclination of a ship. In order to describe a passenger's behavior in an evacuation situation, a passenger is modeled as a rigid body which translates in the horizontal plane and rotates along the vertical axis. The position and rotation angle of a passenger are calculated by solving the dynamic equations of motions at each time step. To calculate inclined angle of damaged ship, static equilibrium equations of damaged ship are derived using "added weight method". Using these equations, physical external forces due to the inclination of a ship act on the body of each passenger. The crowd behavior of the passenger is considered as the flock behavior, a form of collective behavior of a large number of interacting passengers with a common group objective. Passengers can also avoid an obstacle due to penalty forces acting on their body. With the passenger model and forces acting on its body, the test problems in International Maritime Organization, Maritime Safety Committee/Circulation 1238(IMO MSC/Circ.1238) are implemented and the effects of ship's inclination on the evacuation time are confirmed.

• STI Policy Review
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• v.5 no.1
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• pp.75-97
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• 2014

Entrepreneurial financing, such as publicly initiated venture capital or grant schemes, serves as an important policy instrument that aims to bridge the financing gap facing young, innovative businesses, a gap that is mainly due to higher risk and growing uncertainty, and to strategically promote the creation of new ventures through the revitalization of their venture capital industries. This study examines public venture capital initiatives in Australia, Canada, and Sweden, and discovered that all three countries actively foster their venture capital industry through the formation of funds or the provision of tax incentives. It is notable that the majority of financing initiatives heavily depend on supply-side measures rather than demand-driven policies that focus on stimulating private investment in technological innovations and discoveries. This paper discusses in-depth the policy impact of public financing initiatives and their subsequent side-effects raised in the process such as overlapping in funding structure across the country, lack of monitoring and evaluation for feedback, fragmentation across the government ministries and agencies, and competition with the private sector, which may cause inefficiency as a result of public intervention. Financial constraints may arise for many reasons, partly resulting from the lack of investment readiness of young entrepreneurs. This signals a policy shift towards the creation of market-driven demand away from the traditional supply-push approach, and is a grand challenge to policymakers in entrepreneurial financing. Attention is leaning towards the efficiency and effectiveness of these public-financing initiatives in terms of their policy roles. It is worth noting that policy should focus on generating synergy so available resources can be channeled into the early, risky stage of new ventures, working as facilitator to the achievement of an intended policy goal.

• Journal of the Korean Society of Costume
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• v.65 no.7
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• pp.75-85
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• 2015

The purpose of this study is to examine ways to vitalize cause related marketing (CRM) by proposing character T-shirts The campaign will employ Neo-Pop art, a genre popular with both companies and consumers. Study results are as follows: First, campaign T-shirts on the issue of human alienation resulting from digitalization can be utilized to generate financial profit that can be returned to society. This can lead to the acts of exchange for profit generation, public image improvemen of companies, and enhancement of their external status. As for the non-financial aspect, the campaign could lead to increased awareness of social issues and present opportunities to take actions of improvement. Second, the financial objective of character T-shirts dealing with environmental issue of sustainability involves brand distribution network support and revitalization of promotion such as shopping basket of love and eco-friendly store matching program for eco-friendly campaign. As for the non-financial aspect, it can help raise consumers' awareness of cause related activities such as crowd funding and fundraising and prepare opportunities of direct participation. Third, the financial objective of character T-shirts dealing with natural disaster relief activities on the global level involves brand recognition level increase and enhancement of positive association of companies through emergency relief and articles support as a result of drastic increases in casualties from nature disasters. As for the non-financial aspect, it can induce people's participation in relief activities and lead to the establishment of crisis response procedures. The information on the development of pop-art character T-shirts proposed in this study is expected to be used as basic information on cause marketing of fashion companies in the future, while providing inspiration to related fashion design.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.460-465
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• 2013

In this paper, we describe a security robot system to control human's behavior in the security area. In order to achieve these goals, we present a method for representing, tracking and human blocking by laserscanner systems in security area, with application to pedestrian tracking in a crowd. When it detects walking human who is for the security area, robot calculates his velocity vector, plans own path to forestall and interrupts him who want to head restricted area and starts to move along the estimated trajectory. While moving the robot continues these processes for adapting change of situation. After arriving at an opposite position human's walking direction, the robot advises him not to be headed more and change his course. The experimental results of estimating and tracking of the human in the wrong direction with the mobile robot are presented.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.204-209
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• 2006

Despite the recent depression of the construction industry, overseas plant market especially Middle East plant market is booming owing to the high oil price. Since many Middle Eastern countries are placing orders of big scale projects based on the high oil price, Korean EPC contractor are trying to get over the depression through theses plants. Presently, since the plant market is in prosperous condition in general, it is not hard to get overseas orders; however the original licenses that requirehigher technology and high added values are exclusive for advanced engineering companies which great difficulty is predicted for developing countries like us to join the crowd. Therefore, the objective of this study is to propose establishment of material management system on the filed to gain optimized effect of material management in connection with procurement system that all the procurement related personals execute tasks in advanced level by systemizing the task operation within the knowledge and task ability in time for plant construction procurement as a method to strengthening the competitiveness of Korean companies.

• Fire Science and Engineering
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• v.28 no.6
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• pp.35-40
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• 2014

Bottleneck occurs as many people crowd into narrow doorway or corridor. Delaying egress time is occurred by bottleneck effect, and it is very important phenomenon on the egress analysis for building fire. An analysis of egress time should includes flow rate for considering bottleneck. Flow rate is numbers of people who pass the narrow gate as door or start point of corridor per unit length and unit time. The flow rate resulted from egress modeling should be approached to the result of experiments. In this study, flow rates from modeling by 'Pathfinder' and experiments was compared. The difference between the result from egress modeling and the one from experiments was verified. The average value of experiments is $4.25N/m{\cdot}s$, and the maximum average value of modeling is $1.55N/m{\cdot}s$.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3005-3027
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• 2015

Spam has become one of the top threats of micro-blogging networks as the representations of rumor spreading, advertisement abusing and malware distribution. With the increasing popularity of micro-blogging, the problems will exacerbate. Prior detection tools are either designed for specific types of spams or not robust enough. Spammers may escape easily from being detected by adjusting their behaviors. In this paper, we present a novel model to quantitatively evaluate information diffusion in micro-blogging networks. Under this model, we found that spam posts differ wildly from the non-spam ones. First, the propagations of non-spam posts mostly result from their followers, but those of spam posts are mainly from strangers. Second, the non-spam posts relatively last longer than the spam posts. Besides, the non-spam posts always get their first reposts/comments much sooner than the spam posts. With the features defined in our model, we propose an RBF-based approach to detect spams. Different from the previous works, in which the features are extracted from individual profiles or contents, the diffusion features are not determined by any single user but the crowd. Thus, our method is more robust because any single user's behavior changes will not affect the effectiveness. Besides, although the spams vary in types and forms, they're propagated in the same way, so our method is effective for all types of spams. With the real data crawled from the leading micro-blogging services of China, we are able to evaluate the effectiveness of our model. The experiment results show that our model can achieve high accuracy both in precision and recall.