• The KIPS Transactions:PartC
• /
• v.16C no.6
• /
• pp.691-698
• /
• 2009

A mobile communication device is a small size of portable computer which provides communication service, such as smart phone and PDA. Currently, one of the biggest barriers in developing the mobile communication device is security issue. Even though there are excellent security functions which can remove the security issues, there is a problem that the mobile communication device can not be loaded with all the functions because it has low storage, poor computational power, and inconvenient user interface, compared to the desktop personal computer. This paper proposes a context-aware security reconfiguration scheme for effective security management of the mobile communication device. The scheme can provide the mobile communication device with the optimized security service which is most adapted to its current security context. Through the prototype implementation and the experiments of the proposed scheme, we have confirmed that the proposed scheme is excellent in terms of computing resource efficiency and usability, without degrading security level.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.4
• /
• pp.13-18
• /
• 2013

Panorama picturing is an elongated photographing technique that connects images with rotating and moving multiple images horizontally that are partly overlapped. However, for hand-operated photographs, it is difficult to adjust overlapped parts because of tilted angles. There has been a study comparing adjacent pictures using labeling technique but it was time-consuming and had angle dissonant cases in nature. In this paper, we propose a less time-consuming paranoiac scene reconstruction method. Our method is also based on labeling-and-comparing technique but uses only 1/3 of it. Then, if there exists angle dissonance, it tries to find characteristic points by SURF algorithm and adjusts them with homography. The efficacy of this method is experimentally verified by experiments using various images

• The Journal of Korean Association of Computer Education
• /
• v.18 no.6
• /
• pp.71-79
• /
• 2015

In a new era of Cloud and Big data, how to search the useful data from dynamic huge data pool in a right time and right way is most important at the stage where the information is getting more important. Above all, in the era of s Big Data it is required to design the advanced efficient intelligent Knowledge system which can process the dynamic variable big data. Accordingly in this paper we propose Dynamic personal Knowledge Network as one of the advanced Intelligent system approach. Adopting the human brain function and its neuro dynamics, an Intelligent system which has a structural flexibility was designed. For Structure-Function association, a personal Knowledge Network is made to be structured and to have reorganizing function as connecting the common nodes. We also design this system to have a reasoning process in the extracted optimal paths from the Knowledge Network.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.2
• /
• pp.163-170
• /
• 2010

Multi-planar reformatting(MPR) is a volume rendering technique which generates images of sectional planes users define, so that it is essential for medical imaging system. Due to the recent advances of medical imaging system, users require to place plural planes on a single dataset and to enable an individual and easy control for each plane. In this paper, we enumerate various user operations for recent MPR and analyze user requirements to update the plane equation. For the effective control of coordinate system, each plane is considered in a separated coordinate system and all informations which form a coordinate system are grouped into two components: the individual components and the common components. The proposed system is implemented on a graphics hardware, so that it smoothly performs MPR including recent requirements.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.5
• /
• pp.273-284
• /
• 2007

This paper studies a periodic review inventory model with an e-MarketPlace transaction in reconfigurable manufacturing system(RMS). A decision maker can expand/reduce production capacity/quantities and/or replenish/dispose inventories from/to e-MarketPlace urgently to satisfy the stochastic demands. If inventories are replenished or disposed through e-MarketPlace, this leadtime is shorter than the production leadtime, but unit purchasing or selling cost is more expensive than that of expanding capacity or reducing production quantities respectively. Henceforth, trade-off on these alternatives is considered. In addition to this, in order to consider the economy of scale, our model includes the fixed cost for purchasing from e-MarketPlace and capacity expansion. We use dynamic programming and K convexity methods to characterize the nature of the optimal policy. Finally, We present the optimal inventory control policy which is composed by the combinations of a base stock and (s,S) type policy.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.1
• /
• pp.185-192
• /
• 2013

The development of hardware, popularization of 3D graphics software could get to easily use 3d graphics tool in the school. And learning difficulties of a shape section increased through more being enforced a shape section of an elementary school. Thus we try to improve learning effectiveness in a shape section using Sketech Up software. To do this, we analyzed existing studies, classified 3D graphics software, provided the selection criteria of vector graphics software. And we explained how to select 3D graphics software. We selected and reorganized the shape contents to use Sketch Up, which make and rotate 3D figures, understand aspects of a shape. And we inserted the content about piling 3D figures in the beginning state of the curriculum. we composed 10 periods and practiced our reorganized curriculum to the teaching and learning using Sketch Up. And we conducted before & after survey to check out t-verified. And we acquired meaningful results statistically. Thus applying Sketch Up to the shape learning can be analyzed effectively.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.9
• /
• pp.65-73
• /
• 2014

Since Time synchronization is also critical in Wireless Sensor Networks (WSN) like other networks, a time synchronization protocol for WSN called IBS(Indirect-Broadcast Synchronization) has been already proposed in 2012. As IBS operates in cluster tree topology, network lifetime may be mainly shortened by cluster head node[s], which usually consumes more power than cluster member (i.e. non-cluster head) nodes. In this paper, I propose enhanced version of IBS (called EIBS) which saves overall energy and prolongs network lifetime by re-constructing partial cluster tree locally. Compared with other tree construction approaches, this tree reconstruction algorithm is not only simpler, but also more efficient in the light of overall power consumption and network lifetime.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.8
• /
• pp.1045-1054
• /
• 2001

To improve classification accuracy in this paper, we proposed an algorithm for the chromosome image reconstruction in the image preprocessing part and also proposed the pattern classification method using the hierarchical multilayer neural network(HMNN) to classify the chromosome karyotype. It reconstructed chromosome images for twenty normal human chromosome by the image reconstruction algorithm. The four morphological and ten density feature parameters were extracted from the 920 reconstructed chromosome images. The each combined feature parameters of ten human chromosome images were used to learn HMNN and the rest of them were used to classify the chromosome images. The experimental results in this paper were composed to optimized HMNN and also obtained about 98.26％ to recognition ratio.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.11
• /
• pp.1365-1372
• /
• 2001

We have suggested three learning rules and implemented an experimental system that automatically restructures hypertext networks according to their user browsing behavior. The system applies link weights to the hypertext networks and updates these weights according to the learning rules. The learning rules are based on how often a particular hyperlink is being traversed and operate on strictly local information of link traversals. Changes in network structure are fed back to users by dynamic link ordering according to descending link weight. This approach is used collaborative filtering and navigation support techniques. The system has been investigation to be able to structure random hypertext networks into valid representations of their user browsing preferences in experiments.

• Journal of the Korea Computer Graphics Society
• /
• v.15 no.2
• /
• pp.1-8
• /
• 2009

This paper introduces a virtual dress up system, according to user's input model and garment image. At first step, we deform the garment image by using skeleton structures and ARAP method. Next step, sampling the boundary points and find their matching vertices which are used for optimizing the boundary fitting. In 2D rendering of the dress up, they have some unrealistic results, so we reconstruct the garment mesh to the 3D mesh. Rendering from the reconstructed 3D mesh, we can get the final dress up result. We present that our system produce a visually plausible and well-fitted virtual dress up results.