• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.28 no.6
• /
• pp.669-676
• /
• 2010

Visualization requires for effective analysis of the spatial data collected by various sensors. The best way to convey 3D digital spatial information which is modeling of the real world to the users, realistic 3D visualization and display technology. Since most of the display is based on 2D or 2.5D projection to the plane, there is limitation in representing real world in 3D space. In this paper, data from airborne LiDAR for topographic mapping, Flashi-LiDAR as emerging sensor with great potential to 3D data acquisition, and multibeam echo-sounder for underwater measurement, were stereoscopically visualized. 3D monitors are getting popular and could be information media and platform in geoinformatics. Therefore, study on creating 3D stereoscopic contents of spatial information is essential for new technology of stereo viewing systems.

• Journal of Broadcast Engineering
• /
• v.16 no.4
• /
• pp.584-595
• /
• 2011

Recently, RGB images and depth maps have been supplied to academic fields. The depth maps are utilized to the generation of stereoscopic images in the diverse formats according to the users' preference. A variety of methods that use depth maps have been introduced so far. One of applications is a medical field. In this area, the improvement of the perceptual quality of 2D medical images has gained much interest. In this paper, we propose a novel scheme that expands the conventional method to 3D stereoscopic image, thereby achieving the perceptual depth quality improvement as well as 3D stereoscopic perception enhancement at the same time. For this, contrast transformation as well as depth darkening are proposed and their performance is validated through the subjective test. Subjective experiments peformed for stereoscopic enhancement as well as visual fatigue validate that the proposed method achieves better 3D perception than the usage of the original stereoscopic image and suggests the limitation in terms of the visual fatigue.

• Korean Journal of Construction Engineering and Management
• /
• v.7 no.6
• /
• pp.165-174
• /
• 2006

Recently, the architecture remodeling is rising as new alternative for activating the construction market as the interest toward life cycle of buildings has increased. But the reality is that current remodeling business is suffering various types of difficulties in its performance due to the absence of general management technology and factor technology in systematic performance procedure or evaluation, etc toward remodeling effect, evaluation on performance, imperfect system for reflecting user requirements and remodeling life cycle ; planning, $feasibility ^{\circ}\hat{E}designing^{\circ}\hat{E}construction^{\circ}\hat{E}management$ along with lack of overall understanding on remodeling. Accordingly, this research has attempted to search for an effective management method through overall understanding in project performance by presenting work procedure of remodeling project and analysis items for decision making, etc centered on early planning stage out of three stages called planning, designing and construction.

• Journal of KIISE
• /
• v.41 no.12
• /
• pp.1026-1034
• /
• 2014

Recently, flash storages devices have become popular. Log-structured file systems (LFS) are suitable for flash storages since these can provide high write performance by only generating sequential writes to the flash device. However, LFS should perform garbage collections (GC) in order to reclaim obsolete space. Recently, a slack space recycling (SSR) technique was proposed to reduce the GC overhead. However, since SSR generates random writes, write performance can be negatively impacted if the random write performance is significantly lower than sequential write performance of the target device. This paper proposes a partial garbage collection technique that copies only a part of valid blocks in a victim segment in order to increase the size of the contiguous invalid space to be used by SSR. The experiments performed in this study show that the write performance in an SD card improves significantly as a result of the partial GC technique.

• Journal of KIISE:Software and Applications
• /
• v.37 no.10
• /
• pp.773-778
• /
• 2010

OWASP announced most of vulnerabilities result from the data injection by user in 2010 after 2007. Because the contaminated input data is determined at runtime, those data should be checked dynamically. To analyze data and its flow at runtime, dynamic analysis method usually inserts instrument into source code. Intermediate code insertion makes it difficult to manage and extend the code so that the instrument code would be spreaded out according to increase of analysis coverage and volume of code under analysis. In addition, the coupling gets strong between instrument modules and target modules. Therefore developers will struggle against modify or extend the analysis code as instrument. To solve these problem, this paper defines vulnerabilities as a concern using AOP, and suggest the flexible and extensible analysis method to insertion and deletion without increase of coupling.

• Journal of KIISE
• /
• v.44 no.4
• /
• pp.417-422
• /
• 2017

Anomaly detection is the identification of data that do not conform to a normal pattern or behavior model in a dataset. It can be utilized for detecting errors among data generated by devices or user behavior change in a social network data set. In this study, we proposed a new approach using rank correlation coefficient to efficiently detect abnormal data in devices of a building. With the increased push for energy conservation, many energy efficiency solutions have been proposed over the years. HVAC (Heating, Ventilating and Air Conditioning) system monitors and manages thousands of sensors such as thermostats, air conditioners, and lighting in large buildings. Currently, operators use the building's HVAC system for controlling efficient energy consumption. By using the proposed approach, it is possible to observe changes of ranking relationship between the devices in HVAC system and identify abnormal behavior in social network.

• KIISE Transactions on Computing Practices
• /
• v.23 no.4
• /
• pp.217-225
• /
• 2017

Recently, the interest in predicting hot topics has grown significantly as it has become more important to find and analyze meaningful information from a large amount of data flowing in social networking services. Existing hot topic detection schemes do not consider a temporal property, so they are not suitable to predict hot topics that are rapidly issued in a changing society. This paper proposes a hot topic prediction scheme that uses a modified TF-IDF in social networking environments. The modified TF-IDF extracts a candidate set of keywords that are momentarily issued. The proposed scheme then calculates the hot topic prediction scores by assigning weights considering user influence and professionality to extract the candidate keywords. The superiority of the proposed scheme is shown by comparing it to an existing detection scheme. In addition, to show whether or not it predicts hot topics correctly, we evaluate its quality with Korean news articles from Naver.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.7
• /
• pp.1435-1440
• /
• 2017

Recently, VR and AR are emerging as an area of interest in ICT. In virtual reality to feel like a real, many people are looking for them because of its charm. However, the motion of the VR image and the moving object are not synchronized exactly, and a problem of feeling nausea is also occurring. The problem should be solved by the application of Attraction in the VR system. In this paper, we propose a module that minimizes delay time by synchronizing movement of VR image and moving object. The proposed module calculates the moving distance using the direction and the acceleration sensor that the user views through the VR device. The module proposed in this paper will pay attention to the fact that the movement of the attraction moves along a fixed path, so that the accurate travel distance can be calculated.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38C no.8
• /
• pp.663-673
• /
• 2013

The drastic growth of mobile communication and spreading of smart phone make the significant attention on Location Based Service. The one of most important things for vitalization of LBS is the accurate estimating position for mobile object. Focusing on IMU deployed in smart phone, we develop a hybrid positioning estimation framework with a combination of WPS. The developed approaches can strengthen the advantages of independent indoor applicability of IMU. The estimation of IMU is efficiently compensated by radio fingerprint based Wi-Fi Positioning System. We put a focus especially on the hybrid algorithmic framework. Compared on the existing approaches of WPS or IMU, we achieve the comparable higher performance on both of average error of estimation and deviation of errors. Furthermore test-bed based on smart phone platform is practically developed and all data have been harvested from the actual measurement of test indoor area. This can approve the practical usefulness of proposed framework.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38A no.12
• /
• pp.1135-1144
• /
• 2013

Deploying small cells is a reliable and influential solution to handle the skyrocketing traffic increase in the cellular network, and the small cell technology is evolving to ultra-dense network (UDN). In this paper we propose a small cell on/off algorithm with a simple but essential framework composed of access point (AP), user equipment (UE), and small cell controller (SCC). We propose Device-Assisted Networking for Cellular grEening (DANCE) algorithms that save the energy consumption by tying to minimize the number of turned-on APs while maintaining the network throughput. In doing so, SCC firstly gathers the feedback messages from UEs and then makes a decision including a set of turned-on APs and user association. DANCE algorithm has several variations depending on the number of bits of the UE's feedback message (1 bit vs. N bit), and is divided into AP-first, UE-first, or Proximity ON according to the criteria of selecting the turned-on APs. We perform extensive simulations under the realistic UDN environment, and the results confirm that the proposed algorithms, compared to the baseline, can significantly enhance the energy efficiency, e.g., more than a factor of 10.