• Journal of Digital Convergence
• /
• v.14 no.10
• /
• pp.137-145
• /
• 2016

The explosive growth of social networking services based on smart devices popularize these relationships and activities online in accordance with the far larger impact of this on the real life offline, the interest and importance for the online activity is increasing. In this study, factors affecting the SNS activity are defined by object, user, influence direction, influence distance and proposed a method to measure organic terms in effect between the SNS users. Influence Direction and Influence Strength (or Distance) are elaborated by using the existing influence measurement element such as structured data - the number of friends, the difference between the number of contacts - and the new influence measurement element such as unstructured data - gap between the former time and the latter time, preference and type of response behavior - that occur in social network service. In addition, the system for collecting and analysing data for measuring influence from social network service and the process model on the method for measuring influence is tested by using sample data on Facebook and explained the implementation probability.

• The Journal of the Korea Contents Association
• /
• v.9 no.12
• /
• pp.332-338
• /
• 2009

The statistics of traditional korean medicine is essential aspects for the information based policy establishment and the evidence based traditional korean medicine research. But because the integrated statistics service of traditional korean medicine is not provided, people are hard to find out suitable statistics. Thus we analyzed the produced statistics from many ministries, classified it into 7 categories and extracted common fields from it. We designed the database schema by summary table dynamic production method from the analysis of statistics and designed the system composed of excel import, statistics analysis, chart creation and search engine. Finally we implemented the statistics system of traditional korean medicine which users are capable of modifying the statistics data freely. We hope that the implemented system will provide pliability in searching and finding statistical information.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.37 no.1
• /
• pp.10-18
• /
• 2000

This paper proposes a fuzzy logic cross-coupled controller using a new contouring modeling for a two-axis servo system. The general decoupled control approach may result in degraded contouring performance due to such factors as mismatch of axial dynamics and axial loop gains. In practice, such systems contain many uncertainties. The cross-coupled controller utilizes all axis position error information simultaneously to produce accurate contours. However, the conventional cross-coupled controllers cannot overcome friction, backlash, and parameter variations. Also since, it is difficult to obtain an accurate mathematical model of multi-axis system, here we investigate a fuzzy logic cross-coupled controller of servo system. In addition, new contouring error vector computation method is presented. The experimental results are presented to illustrate the performance of the proposed algorithm.

• Composites Research
• /
• v.15 no.2
• /
• pp.11-17
• /
• 2002

The piezoelectric thin film sensor can be used to interpret variations in structural and material properties, e.g. for structural integrity monitoring and assessment. To illustrate one of this potential benefit, PVDF (polyvinylidene fluoride) film sensors are used for monitoring impact damage in Gr/Ep composite panels. Both PVDF film sensors and strain gages are attached to the surface of Gr/Ep specimens. A series of impact tests at various impact energy by changing impact mass the height are performed on the instrumented drop weight impact tester. The sensor responses are carefully examined to predict the onset of impact damage such as indentation, matrix cracking, and delamination, etc. Test results show that the particular waveforms of sensor signals implying the damage initiation and development are detected above the damage initiation impact energy. As expected, the PVDF film sensor is found to be more sensitive to impact damage initiation event than the strain gage.

• The Journal of the Korea Contents Association
• /
• v.11 no.7
• /
• pp.354-365
• /
• 2011

Modern corporations are faced with widespread, dynamic and accelerating changes. To better cope with the external and internal changes, corporations often utilize information technologies such as RFID(Radio Frequency IDentification). To date, RFID research has mainly focused on adoption strategies and intention on RFID, construction case. The purpose of this study is to examine qualitative and quantitative performance on RFID. To validate the research model proposed in the study, filed survey was conducted with 67 in company using RFID. Then, we compare their quantitative financial results after the introduction of RFID in order to measure the performance of the RFID. The results of the study can be summarized as follows. First, the relation among qualitative factors showed significant correlations. Second, the difference of financial metrics was existed after the adopting RFID. Third, significant difference was observed among financial ratio. Fourth, the correlation between qualitative and quantitative performance showed no significant relations.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.24 no.7B
• /
• pp.1211-1219
• /
• 1999

High quality real-time interactive multimedia services like VOD gained huge momentum by information technology industries during the middle of 1990, but failed successful commercial service deployment despite of the expectations. Among the number of reasons, lack of high bandwidth and QoS support from the network infrastructure have become main cause of the failure. On the other hand, the advance of computer industry-driven storage technologies has been reducing the price of in-home storage dramatically. This fact and the delivery of audio-visual material in a digital form to the home storage make very interesting multimedia service applications possible. It enables anytime content delivery (e.g., during off-peak time) without user interaction and anytime content play and, also, enhances utilization by reducing the loads applied to servers and networks using multicast network infrastructure. In this paper, we propose design and implementation of our anytime multimedia service system based on in-home storage, called IMPRESS-AMS.

• Tunnel and Underground Space
• /
• v.14 no.6 s.53
• /
• pp.399-410
• /
• 2004

The utilization of AS(Artificial Intelligence) and Database could be considered as an useful access for the application of underground information from the point of a geotechnical methodology. Its detailed usage has been recently studied in many fields of geo-sciences. In this paper, the target of usage is on controlling the injection of grout which more scientific access is needed in the grouting that has been used a major method in many engineering application. As the proposals for this problem it is suggested the methodology consisting of a fuzzy-neural hybrid system and a database. The database was firstly constructed for parameters dynamically varied according to the conditions of rock mass during the injection of grout. And then the conceptional model for the fuzzy-neural hybrid system was investigated fer optimally finding the controlling range of the grout valve. The investigated model applied to four cases, and it is found that the controlling range of the grout valve was reasonably deduced corresponding to the mechanical phenomena occurred by the injection of grout. Consequently, the algorithm organizing the fuzzy-neural hybrid system and the database as a system can be considered as a tool for controlling the injection condition of grout.

• Journal of Advanced Navigation Technology
• /
• v.14 no.4
• /
• pp.495-503
• /
• 2010

The clustering is an important mechanism thai provides information for mobile nodes efficiently and improves the processing capacity for routing and the allocation of bandwidth. This paper proposes a clustering scheme based on the fuzzy relevance degree to solve problems such as node distribution found in the dynamic property due to mobility and flat structure and to enhance the routing performance. The proposed scheme uses the fuzzy relevance degree, ${\alpha}$, to select the cluster head for clustering in FSV (Fuzzy State Viewing) structure. The fuzzy relevance ${\alpha}$ plays the role in CH selection that processes the clustering in FSV. The proposed clustering scheme is used to solve problems found in existing 1-hop and 2-hop clustering schemes. NS-2 simulator is used to verify the performance of the proposed scheme by simulation. In the simulation the proposed scheme is compared with schemes such as Lowest-ID, MOBIC, and SCA. The simulation result showed that the proposed scheme has better performance than the other existing compared schemes.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.2
• /
• pp.893-898
• /
• 2013

It is always a dream to recreate the experience of a particular place, the Panorama Virtual Reality has been interpreted as a kind of technology to create virtual environments and the ability to maneuver angle for and select the path of view in a dynamic scene. In this paper we examined an efficient method for Image registration and stitching of captured imaged. Two approaches are studied in this paper. First, dynamic programming is used to spot the ideal key points, match these points to merge adjacent images together, later image blending is used for smooth color transitions. In second approach, FAST and SURF detection are used to find distinct features in the images and nearest neighbor algorithm is used to match corresponding features, estimate homography with matched key points using RANSAC. The paper also covers the automatically choosing (recognizing, comparing) images to stitching method.

• Information Systems Review
• /
• v.10 no.2
• /
• pp.195-209
• /
• 2008

Customers' needs change every moment. Profitability of stores can't be increased anymore with an existing standardized chain store management. Accordingly, a personalized store management tool needs through prediction of customers' preference. In this study, we propose a recommending procedure using dynamic customers' preference by analyzing the transaction database. We utilize self-organizing map algorithm and association rule mining which are applied to cluster the chain stores and explore purchase sequence of customers. We demonstrate that the proposed methodology makes an effect on recommendation of products in the market which is characterized by a fast fashion and a short product life cycle.