• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.1
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• pp.7-15
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• 2014

Image retrieval has become a huge part of computer vision and data mining. Although commercial image retrieval systems such as Google show great performances, the improvement on the performances are constantly on demand because of the rapid growth of data on web space. To satisfy the demand, many re-ranking methods, which enhance the performances by reordering retrieved results with independent algorithms, has been proposed. Conventional re-ranking algorithms are based on the assumption that visual patterns are not used on initial image retrieval stage. However, image search engines in present have begun to use the visual and the assumption is required to be reconsidered. Also, though it is possible to suspect that integration of multiple retrieval systems can improve the overall performance, the research on the topic has not been done sufficiently. In this paper, we made the condition that other manner than cooperation cannot improve the ranking result. We evaluate the algorithm on toy model and show that propose module can improve the retrieval results.

• Journal of Korean Society of Forest Science
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• v.88 no.3
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• pp.389-399
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• 1999

This study was conducted to develop an application software, SIDAS3D(Stand Inventory Data Analysis System for 3 Dimensional Representation), of which the purpose of development is to make it easier to analyze and display the 3D spatial structure of a forest stand, based on the data such as tree position, species, DBH, height, clear length of individual trees, and crown width. This program has a statistical analysis function for stand attributes per hectare and displays simple graphs of stand statistics such as the distribution of diameters, heights, and volumes. It also has two additional functions, of which one is to display the 3D image of stand structure and the other is to display the image of crown projection. In addition, this program provides an imaginary treatment simulation function, which can visually confirm the suitability of silvicultural treatments on computers. To test the precision and reliability of SIDAS3D, data obtained by the precision forest inventory method were used. Statistical analysis ability of SIDAS3D was compared with that of SAS. And its representational ability was compared with that of TreeDraw. According to the verification, SIDAS3D was superior to SAS and TreeDraw in both the data processing time and the interpretative ability of results. It was concluded that SIDAS3D could be used to help users efficiently make decisions for appropriate silvicultural treatments and rational management plans because it has analysis functions providing various valuable information.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.570-581
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• 2015

In recent years, many institutions predict that cloud services and big data will be popular IT trends in the near future. A number of leading IT vendors are focusing on practical solutions and services for cloud and big data. In addition, cloud has the advantage of unrestricted in selecting resources for business model based on a variety of internet-based technologies which is the reason that provisioning and virtualization technologies for active resource expansion has been attracting attention as a leading technology above all the other technologies. Big data took data prediction model to another level by providing the base for the analysis of unstructured data that could not have been analyzed in the past. Since what cloud services and big data have in common is the services and analysis based on mass amount of data, efficient operation and designing of mass data has become a critical issue from the early stage of development. Thus, in this paper, I would like to establish data processing architecture based on technological requirements of mass data for cloud and big data services. Particularly, I would like to introduce requirements that must be met in order for distributed file system to engage in cloud computing, and efficient compression technology requirements of mass data for big data and cloud computing in terms of cost-saving, as well as technological requirements of open-source-based system such as Hadoop eco system distributed file system and memory database that are available in cloud computing.

• Spatial Information Research
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• v.20 no.3
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• pp.95-106
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• 2012

Recently, with increase and development of the wireless access network area, u-GIS Service is supported in various fields. Especially, spatio-temporal data is used in the mobile environment for the u-GIS service. However, there is no standard for the spatio-temporal data used in different spaces, spatio-temporal data processing technology is necessary to makes interoperability among mobile u-GIS services. Furthermore, it is also necessary to develop the system of gathering, storing, and managing the spatio-temporal data in consideration of small capacity and low performance of mobile devices. Therefore, in this paper, we designed and implemented a spatio-temporal query processing system based on GML to manage spatio-temporal data efficiently in the mobile environment. The spatio-temporal query processing system based on GML can offer a structured storage method which maps a GML schema to a storage table and a binary XML storage method which uses the Fast Infoset technique, so as to support interoperability that is an important feature of GML and increase storage efficiency. we can also provide spatio-temporal operators for rapid query processing of spatio-temporal data of GML documents. In addition, we proved that this system can be utilized for the u-GIS service to implement a virtual scenario.

• Spatial Information Research
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• v.22 no.5
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• pp.9-18
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• 2014

According to the recent development of the ubiquitous computing environment, the use of spatio-temporal data from sensors with GPS is increasing, and studies on the Semantic Sensor Web using spatio-temporal data for providing different kinds of services are being actively conducted. Especially, the W3C developed the SSNO(Semantic Sensor Network Ontology) which uses sensor-related standards such as the SWE(Sensor Web Enablement) of OGC and defines classes and properties for expressing sensor data. Since these studies are available for the query processing about non-spatio-temporal sensor data, it is hard to apply them to spatio-temporal sensor data processing which uses spatio-temporal data types and operators. Therefore, in this paper, we developed the SWE based on SSNO which supports the spatio-temporal sensor data types and operators expanding spatial data types and operators in "OpenGIS Simple Feature Specification for SQL" by OGC. The system receives SensorML(Sensor Model Language) and O&M (Observations and Measurements) Schema and converts the data into SSNO. It also performs the efficient query processing which supports spatio-temporal operators and reasoning rules. In addition, we have proved that this system can be utilized for the web service by applying it to a virtual scenario.

• Spatial Information Research
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• v.21 no.4
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• pp.15-24
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• 2013

Recently, as the spatial information and various multimedia are fused together, the demand for the high value-added spatial information contents and the necessity of technology for spatial information security are increasing. However, since the current security policy is being managed independently by each system, there is a problem with unreliable or costly to modify or revise the security policy. Such problems occur frequently in the process of coordination or integration of the spatial information management systems that are used in public institutions and private companies. Therefore, in this paper, the access control system that could provide an integrated security policy for many spatial platforms and systems with expandable grammar and semantics was designed and implemented based on GeoXACML proposed by OGC. As the GeoXACML-based access control system designed and implemented in this paper follows the international standard specifications, it provides high portability and interoperability. Finally, in this paper, the efficiency of the system was proved by applying it to a virtual scenario on the military area requiring the access control.

• Journal of International Society for Simulation Surgery
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• v.2 no.1
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• pp.26-32
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• 2015

Purpose When a surgeon examines the morphology of skull of patient, locations of craniometric landmarks of 3D computed tomography(CT) volume are one of the most important information for surgical purpose. The locations of craniometric landmarks can be found manually by surgeon from the 3D rendered volume or 2D sagittal, axial, and coronal slices which are taken by CT. Since there are many landmarks on the skull, finding these manually is time-consuming, exhaustive, and occasionally inexact. These inefficiencies raise a demand for a automatic localization technique for craniometric landmark points. So in this paper, we propose a novel method through which we can automatically find these landmark points, which are useful for surgical purpose. Materials and Methods At first, we align the experimental data (CT volumes) using Frankfurt Horizontal Plane (FHP) and Mid Sagittal Plane(MSP) which are defined by 3 and 2 cranial landmark points each. The target landmark of our experiment is the anterior nasal spine. Prior to constructing a statistical cubic model which would be used for detecting the location of the landmark from a given CT volume, reference points for the anterior nasal spine were manually chosen by a surgeon from several CT volume sets. The statistical cubic model is constructed by calculating weighted intensity means of these CT sets around the reference points. By finding the location where similarity function (squared difference function) has the minimal value with this model, the location of the landmark can be found from any given CT volume. Results In this paper, we used 5 CT volumes to construct the statistical cubic model. The 20 CT volumes including the volumes, which were used to construct the model, were used for testing. The range of age of subjects is up to 2 years (24 months) old. The found points of each data are almost close to the reference point which were manually chosen by surgeon. Also it has been seen that the similarity function always has the global minimum at the detection point. Conclusion Through the experiment, we have seen the proposed method shows the outstanding performance in searching the landmark point. This algorithm would make surgeons efficiently work with morphological informations of skull. We also expect the potential of our algorithm for searching the anatomic landmarks not only cranial landmarks.

• Korean journal of communication and information
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• v.72
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• pp.92-120
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• 2015

The objective of this study is to find out how reality game shows, the relatively new television genre, produce a sense of reality and what differences we can find from the reality they produce in compared to that of traditional reality television shows. The researchers anaylized , aired in 2013and 2014 by tvN, with focus on the show's studio setting and characters in the show. During this process, the 'game elements' and 'reality factor' were considered to be the key words. Finally, the reality produces was examined from two aspects: the production and reception. As a result, we found that the reality it produces is more than just a imitation of the real world. It shuttles between the game world and real world, and encourages audiences to recognize the plural realities in our postmodern society. We hope this study stimulates further researches on reality game show genre, which had rarely gained academic attention.

• Journal of the Korea Computer Graphics Society
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• v.26 no.3
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• pp.143-153
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• 2020

This study embodies and proposes VR color therapy healing contents 'Nornir' that can manage stress in daily life. "Nornir" applies the CRR analysis method to provide a customized VR color therapy experience according to the three colors selected by the user. It is designed to enable users to understand themselves through their color journey, to rec eive various color interactions and stimuli to implement in the future, and to provide healing that lowers stress levels. Based on the results implemented, the Korean version of the mood condition test 'K-POMS' was conducted before an d after the demonstration to check the user's stress changes after the content demonstration. Experiments have shown that users clearly see a decrease in negative emotions and an increase in positive emotions. By using VR technology, color psychotherapy rules are combined to provide the possibility of relieving stress for users who are exposed to fre quent stress in daily life.

• Journal of Korea Game Society
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• v.14 no.5
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• pp.161-182
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• 2014

As environmental problems such as global warming, and ecocide have a great influence on society, the attention to environmental pollution is being expanded. To solve the environmental problems, the awareness and practice of members of society in question is required. However, it has been found that few people are participating in practising environmental protection in real life. Our main goals are to show that Gamification has great potential in delivering messages for public interest and to suggest guidelines for researchers and public contents developers who engage in designing in relation to Gamification. Based on the domestic and foreign theoretical investigations, we found that Gamification mechanism made based on psychological mechanism of users aims at public interests' value by maximizing motivations of users and spreading social relationships among people. As shown in the case study, if contents are developed by reflecting the elements which stimulate challenging of users, the elements which can express their opinions, and the elements of altruism which form the sympathy in the development of public interest contents in the future, practical participation of people to solve social problems can be expected.