• Information Systems Review
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• v.16 no.1
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• pp.17-35
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• 2014

Social collaboration and knowledge sharing among experts are the key characteristics of information system development projects. But the difficulty and complexity of communication may be the cause of the project failures. This study analyzes the influence of on-line social networking as communication system in information system development projects. A model has been developed to relate system, knowledge and social factors of on-line social networking to the performance of project members. Transactive Memory System (TMS), describing knowledge sharing process in human relationship, is used as a mediator. The analysis concludes that knowledge and social characteristics have positive effect on the members' performance, implying that the use of mobile devices and PCs as a social communication tool can be an effective way to enhance the possibility of project success.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.1
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• pp.97-108
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• 2013

Recently, mobile devices were increased and there was a sharp rise in demand. To exploit the location information of each device, many researcher was studying locating systems. The favorite locating or positioning systems were a GPS using satellites and a RTLS using wireless communication between devices. If some obstacle existed nearby the target device, The system have difference of performance. The obstacles near targets were caused signal disconnection and reflection because of NLOS condition. As the result, the NLOS condition degrade the locating performance. In this paper, we propose a locating system which is cooperated two systems using information reliability estimates from LOS/NLOS condition. We developed proposed system. In addition, we performed fields test and simulation tests at various environment for performance evaluation. As the result, the test showed 97% success rate to estimate NLOS condition. Furthermore, the simulation result of our locating system was increased to 89% compared with a single system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1255-1261
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• 2020

Cache side-channel attack is a class of attacks to retrieve sensitive information from a system by exploiting shared cache resources in CPUs. As the attacks are delivered to wide range of environments from mobile systems to cloud systems recently, many detection strategies have been proposed. Since the conventional cache side-channel attacks are likely to incur tremendous number of cache events, most of the previous detection mechanisms were designed to carefully monitor mostly cache events. However, recently proposed attacks tend to incur less cache events during the attack. PRIME+ABORT attack, for example, leverages the Intel TSX instead of accessing cache to measure access time. Because of the characteristic, attack detection mechanisms based on cache events may hardly detect the attack. In this paper, we conduct an in-depth analysis of the PRIME+ABORT attack to identify the other useful hardware events for detection rather than cache events. Based on our finding, we present a novel mechanism called PRIME+ABORT Detector to detect the PRIME+ABORT attack and demonstrate that the detection mechanism can achieve 99.5% success rates with 0.3% performance overhead.

• Asia Marketing Journal
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• v.15 no.1
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• pp.23-42
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• 2013

To overcome the profitability challenge these days, many global banks are increasingly focusing on cost efficiency through more efficient banking processes, such as online and mobile banking, whereas a number of other banks choose to differentiate their services for retaining and attracting the most valuable customer segment (Deloitte, 2011). While global banks in the retail banking industry are adopting either of these two business models as a strategic choice for their long-term growth, KB Kookmin Bank, one of the leading retail banks in South Korea, has begun to operate 'KB Rockstar' as a strategic channel, particularly designed to target college students in the youth market. The new marketing strategy has resulted in a positive impact on its brand image in customers' perception as well as a drastic increase in the number of youth customers. In this study, we analyze the case of 'KB Rockstar' and summarize the key factors for its success from a marketing perspective. First, 'KB Rockstar' is not simply a good channel strategy, but an innovative marketing strategy that aligns place, product and promotion together in order to create a synergy effect, resulting in the successful implementation of the bank's targeting strategy. Second, the strategy effectively establishes 'KB Rockstar' as a brand targeted to youth customers while also competently strengthening the image of the corporate brand, KB Kookmin Bank. The skillful implementation of organically combined marketing mix strategies has enabled the successful launch of the bank's sub-brand. Third, the strategy considers a retail bank branch as not only the place that makes sales transactions in order to generate short-term profits, but also the place that builds a long-term relationship with customers in order to maximize their lifetime values in the long run.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1057-1068
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• 2022

This paper compares the combination performance of feature point-based matching algorithms as a study to confirm the matching possibility between image taken by a user and a virtual texture image with the goal of developing mobile-based real-time image positioning technology. The feature based matching algorithm includes process of extracting features, calculating descriptors, matching features from both images, and finally eliminating mismatched features. At this time, for matching algorithm combination, we combined the process of extracting features and the process of calculating descriptors in the same or different matching algorithm respectively. V-World 3D desktop was used for the virtual indoor texture image. Currently, V-World 3D desktop is reinforced with details such as vertical and horizontal protrusions and dents. In addition, levels with real image textures. Using this, we constructed dataset with virtual indoor texture data as a reference image, and real image shooting at the same location as a target image. After constructing dataset, matching success rate and matching processing time were measured, and based on this, matching algorithm combination was determined for matching real image with virtual image. In this study, based on the characteristics of each matching technique, the matching algorithm was combined and applied to the constructed dataset to confirm the applicability, and performance comparison was also performed when the rotation was additionally considered. As a result of study, it was confirmed that the combination of Scale Invariant Feature Transform (SIFT)'s feature and descriptor detection had the highest matching success rate, but matching processing time was longest. And in the case of Features from Accelerated Segment Test (FAST)'s feature detector and Oriented FAST and Rotated BRIEF (ORB)'s descriptor calculation, the matching success rate was similar to that of SIFT-SIFT combination, while matching processing time was short. Furthermore, in case of FAST-ORB, it was confirmed that the matching performance was superior even when 10° rotation was applied to the dataset. Therefore, it was confirmed that the matching algorithm of FAST-ORB combination could be suitable for matching between virtual texture image and real image.

• Knowledge Management Research
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• v.18 no.1
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• pp.83-116
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• 2017

The purpose of this study is to analyze empirically analyze how the characteristics of participants in educational and social learning forums and the quality of events influence expectations and satisfaction of forums. The study also aims to provide strategic implications for forum organizers and give them suggestions on how to set up target audience, manage forum contents, speakers, and services, improve attendee satisfaction, and ultimately maximize overall outcomes. As exchanges among individuals, enterprises, and organizations, as well as countries are growing rapidly, the convention industry has become a key player in the market. Conventions have also become a venue for people to discuss a specific agenda or topic, exchange information and learn knowledge and insights. Especially, the forum - as part of the convention industry - plays a vital role providing educational and social learning opportunities as scholars and expertise come together to share their knowledge and experience through a variety of discussions. With its role, many of forums are taking place in recent years; however, there have been few empirical studies upon the forum itself. Also, there have been few attempts to research how the quality of forums affect participants' satisfaction along with their characteristics and how much of practical knowledge is provided throughout the events. This study is meaningful in that it is the first practical study that takes a deep understanding of the forum and sees how the quality of the forums influences participants' satisfaction and whether the characteristics of participants have a moderating effect in increasing the level of satisfaction. Forum organizers could also take a strategic approach as their major concerns are to increase the number of participants and raise degree of satisfaction by providing significant information. There are four key elements that determine success or failure of a social learning forum. The four elements are contents, speakers, services, and participants. Content plays an important role in providing rich information and knowledge for participants. Speakers are the main knowledge providers who contribute to the forum's social learning role. Also, the services provided by forum organizers such as simultaneous interpretation services, program brochures, lunch and refreshments, and the overall design of event hall can also influence the level of participants' satisfaction. Lastly, the participants and their characteristics are important since they are the ones who receive knowledge from the providers. The results of this study show that the quality of forum (content, speaker, and services) has a decisive effect on the participants' satisfaction and there are some differences in expectation among the participants in the forum. Also, some groups of participants were more likely to be stimulated by the quality of forum when determining their satisfaction. The study is modeled after MBN Y Forum 2016 and its participants' characteristics. The forum is one of the most representative social learning forums of South Korea and its audiences are mostly young people. It has analyzed how the participants' characteristics influence their satisfaction by grouping them into ${\Delta}participants$ who have invited for free and those who paid for the entrance fee, ${\Delta}first-time$ participants and returning participants, ${\Delta}voluntary$ and involuntary participants, ${\Delta}participants$ who registered through web and those who did through mobile, and ${\Delta}participants$ who registered during pre-sale opens and those who registered during general opens.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.165-175
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• 2013

Though the number of food franchises has been increased these days, there has not been less success for food franchise than failure. One of the several failures is the distrust between franchisor and franchisee factors because the franchisee thought its franchisor does not make its accounts and operations transparent. In order to resolve it, the large business food franchise has used the ERP system, however, small business franchise has run a very simple information system, which is linked to POS system and consists of simple functions to insert or inquire the result of data on sales and order etc to identify the status of both franchisor and franchisee because of financial difficulties and manpower shortage. Thus, small business franchise needs the cost management between them with low cost for efficient business administration. In this study, we suggest the data reference model (DRM) which covers the cost management system and is able to be linked to any POS system. The DRM is a framework whose primary purpose is to enable information linking and reuse across the any POS-based information systems via the classification, structure, model, exchange and management of data.

• Tunnel and Underground Space
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• v.30 no.5
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• pp.462-472
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• 2020

Rock classification is fundamental discipline of exploring geological and geotechnical features in a site, which, however, may not be easy works because of high diversity of rock shape and color according to its origin, geological history and so on. With the great success of convolutional neural networks (CNN) in many different image-based classification tasks, there has been increasing interest in taking advantage of CNN to classify geological material. In this study, a feasibility of the deep CNN is investigated for automatically and accurately identifying rock types, focusing on the condition of various shapes and colors even in the same rock type. It can be further developed to a mobile application for assisting geologist in classifying rocks in fieldwork. The structure of CNN model used in this study is based on a deep residual neural network (ResNet), which is an ultra-deep CNN using in object detection and classification. The proposed CNN was trained on 10 typical rock types with an overall accuracy of 84% on the test set. The result demonstrates that the proposed approach is not only able to classify rock type using images, but also represents an improvement as taking highly diverse rock image dataset as input.

• The Korean Society of Law and Medicine
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• v.14 no.1
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• pp.355-401
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• 2013

The first legislation for terminal health-care decision was California's Natural Death Act (NDA) of 1976 that permitted any adult person to execute a directive directing the withholding or withdrawal of life-sustaining procedures. Advance directive legislation has subsequently progressed on a state-by-state basis. By 1992, all 50 states, as well as the District of Columbia, had passed legislation to legalize some form of advance directive. This state legislation, however, has resulted in an often fragmented, incomplete, and sometimes inconsistent set of rules. Statutes enacted within a state often conflict and conflicts between statutes of different states are common. In an increasingly mobile society where an advance health-care directive given in one state must frequently be implemented in another, there is a need for greater uniformity. In 1993, the Uniform Law Commissioners approved the Uniform Health-Care Decisions Act (UHCDA) in order to bring order to the existing chaos. Unfortunately, the Commissioners waited too long to act. By the time the UHCDA was approved, nearly all states had passed legislation governing advance directives. Consequently, the UHCDA has achieved only a limited success, picking up but one or two enactments a year. The UHCDA is currently in effect in around 10 states: Alabama, Alaska, California, Delaware, Hawaii, Kansas, Maine, Mississippi, New Mexico, Tennessee, Wyoming. In these states the previous laws related to the subjects have been all repealed. The overall objective of the UHCDA is to encourage the making and enforcement of advance health care directives including living will or individual instruction, power of health-care attorney and to provide a means for making health care decisions for those who have failed to plan. The U. S. House of Representatives in 1991 enacted the Patient Self-Determination Act (PSDA). The Act stipulates that all hospitals receiving Medicaid or Medicare reimbursement must ascertain whether patients have or wish to have advance directives. The Patient Self- Determination Act does not create or legalize advance directives; rather it validates their existence in each of the states. Now in America, terminal health-care decision or advance directive for health care is common and universal system. The problem, however, is how to let more people use these good tools to make their lives more beautiful and honorable.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.3 s.309
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• pp.76-83
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• 2006

A main objective of audio equalizer is for user to tailor acoustic frequency response to increase sound comfort and example applications of audio equalizer includes large-scale audio system to portable audio such as mobile MP3 player. Up to now, all the audio equalizer requires manual setting to equalize frequency bands to create suitable sound quality for each genre of music. In this paper, we propose an intelligent audio graphic equalizer system that automatically classifies the music genre using music content analysis and then the music sound is boosted with the given frequency gains according to the classified musical genre when playback. In order to reproduce comfort sound, the musical genre is determined based on two-step hierarchical algorithm - coarse-level and fine-level classification. It can prevent annoying sound reproduction due to the sudden change of the equalizer gains at the beginning of the music playback. Each stage of the music classification experiments shows at least 80% of success with complete genre classification and equalizer operation within 2 sec. Simple S/W graphical user interface of 3-band automatic equalizer is implemented using visual C on personal computer.