• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39C no.5
• /
• pp.447-455
• /
• 2014

In this paper, we consider a representative integral imaging method in glasses-free 3D image processing and propose a prioritized transmission scheme for guaranteeing a received video quality in error-prone environments. According to the correlation of pixels consisting of each voxel of integral image, we set the priority differently and apply the modulation level according to this priority value. That is to say, the corresponding pixels with small variance are set to a high priority and transmitted by using a low level modulation that is robust under transmission errors, but the corresponding pixels with greater variance are set to a lower priority and transmitted by using a high level modulation that has a high bit error rate but fast transmission rate. Result shows that the proposed scheme that applies the error-robust modulation level to the important image bit stream with the high priority improves the peak to sidelobe ratio (PSR) of the received 3D image, compared with a typical method that use the same modulation level without distinction of priorities.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.38 no.4
• /
• pp.59-71
• /
• 2001

The Current CORBA shows some limitations for its successful deployment in real time system applications. Recently, OMG adopted Real-Time CORBA specification, which is defined as an extension to CORBA. The goal of the Real-Time CORBA is to provide a standard for CORBA ORB implementations that support 'end to end predictability'. In order to support 'end-to-end predictability', Real Time CORBA specifies many components such as priority model, communication protocol configuration, thread management, and etc. Among them, 'priority model' is the most important mechanism for avoiding or bounding priority inversion in CORBA invocations. In this paper, we present our efforts on a design ,and implementation of the Priority Model in Real-Time CORBA specification. The implementation is done as an extension of omniORB2(v.3.0.0), a popular open source non real time ORB. Experiment results demonstrate that our priority model implementation shows better performance and predictability than the non real-time ORB.

• Journal of the Economic Geographical Society of Korea
• /
• v.14 no.1
• /
• pp.19-32
• /
• 2011

This study compares the results of two Importance-Performance Analyses (IPA) on the convention destination images in Korea by meeting and exhibition planners. Meeting and convention planners carefully evaluate convention destinations by considering meeting room facilities, hotel service quality, safety/security, air transportation access and hotel room availability as the most important attributes of a convention destination. On the other hand, night life, exhibition facilities, scenery/sightseeing opportunities, food and lodging costs and restaurant facilities are considered as the least important attributes of a convention destination. The study revealed that convention destination attributes ranking is dynamic and continuous evaluation should be done to determine the current perception of the meeting and exhibition planners. Meeting and exhibition planners' importance grid of the convention attributes is dynamic and changed with the environment and needs of their clientele. In this study it was noted that the ranking for some attributes has dramatically changed.

• Food Science and Preservation
• /
• v.11 no.2
• /
• pp.276-281
• /
• 2004

The study focused on setting priority among future core technologies that were derived by Delphi in agricultural management ＆ information using AHP. Items for the setting priority were decided as 'technology', 'market', and 'public concerns' by council. The future core technologies were divided as four parts by importance and R＆D level. Technologies that are consisted with upper two parts that have high importance were considered in the study. Questionnaires were given to 10 specialists in division of postharvest agriculture. As the results, 'market' was decided as a most important item. The most important technologies number were PⅠ16 in group Ⅰ, and PⅡ12 in group Ⅱ.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.11
• /
• pp.8021-8029
• /
• 2015

This study obtains design assessment indexes that should be considered in order to improvements of the public space was to analysis the importance in the public officials/academics and practitioners side. Obtained assessment topics in accordance with characteristic of public space through previous research to them and after a detailed selection indicators was so lead through the FGI. Derived surface was subjected to the significance analysis AHP through the survey expert. For this study, the importance of the public space are working professionals usability, publicness, environment, connectivity, identity, spatiality the order, public officials/academics usability, environment, connectivity, identity, spatiality, publicness the order. In addition, professionals working in the comprehensive analysis of the most important priority was to recognize safety, public officials/academics of the most important element appeared to have cleanliness. The results obtained in this study will be used as an index that can be used in planning and evaluation for consideration of the next improvement of public space.

• Journal of the Society of Disaster Information
• /
• v.13 no.3
• /
• pp.340-347
• /
• 2017

This study deducted institutional improvement factors for respond of heavy snowfall disaster and performed AHP analysis for choosing the priority. The result of Analysis, establishment of plan concerned heavy snowfall respond was represented most important factor(Importance : 0.461), this is meaningful establishment of plan is more important than facilities, sources, policies for building system of heavy snowfall respond. Establishment of plan concerned respond was represented most important element(Comprehensive Importance : 0.175) in plan for heavy snowfall respond, it is suggested that establishment of respond plan of heavy snowfall has to need for improving law and institution about heavy snowfall. The result of this study will be useful when the central or local government establish institutional improvement plan for respond of heavy snowfall disaster.

• Journal of Digital Convergence
• /
• v.20 no.2
• /
• pp.127-140
• /
• 2022

Recently, accelerators are attracting attention as a new startup incubator. This study empirically analyzed the relative importance and priority of decision-making factors when a startup selects an accelerator using the AHP technique. As a result, startup founders recognized the importance of decision-making factors in the order of funding factors, program factors, and accelerator characteristic factors. there was a difference in the relative importance of detailed factors between startup founders and accelerator workers, depending on the location of the business site and the presence or absence of sales performance. This suggests that accelerators need to strengthen the financial support capabilities and improve customized services to meet the needs of startups. This study can be used as a decision-making criterion when a startup selects an accelerator, and can be used as basic data for additional research on the accelerator program.

• Journal of the Korean Society for information Management
• /
• v.29 no.4
• /
• pp.101-121
• /
• 2012

Since IR systems which adopt only Boolean IR model can not provide ranked search result, users have to conduct time-consuming checking process for huge result sets one by one. This study proposes a method to provide search results ranked by using coupling information between tags instead of index weight information in Boolean IR model. Because document queries are used instead of general user queries in the proposed method, key tags used as queries in a relevant document are extracted. A variety of groups of Boolean queries based on tag couplings are created in the process of extracting queries. Ranked search result can be extracted through the process of matching conducted with differential information among the query groups and tag significance information. To prove the usability of the proposed method, the experiment was conducted to find research trend analysis information on selected research information. Aslo, the service based on the proposed methods was provided to get user feedback for a year. The result showed high user satisfaction.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.11
• /
• pp.2665-2670
• /
• 2015

VANET is ad-hoc network in which vehicles are treated as node and these nodes are communicating with each other as well as RSUs on the road. In VANET, scheduling is a very important issue as the request data are to be delivered to the recipient vehicle properly and accurately. It is also critical that any request data which is sent to the vehicle is received by it in the time period for which the vehicle will be in range of RSU. RSU picks the one with the highest priority to serve based on the scheduling scheme. In this paper, we propose a scheduling algorithm to select the one with the highest priority in RSU, in which an RSU can transfer the overload requests to other RSUs. We use the modified DBP scheme to calculate the priority of request data. Simulation results show that our scheme outperforms other scheduling schemes under various conditions.

• KIPS Transactions on Software and Data Engineering
• /
• v.3 no.2
• /
• pp.101-108
• /
• 2014

As browsing and sharing multimedia contents through various social network services have become very common these days. there has been a rising demand for effectively provide appropriate multimedia contents to users depending on their interest and characteristics. Especially, considering the enormous volume of multimedia contents created daily, user satisfaction heavily depends on effective selection of appropriate multimedia contents. For instance, if the acquisition of contents is based on friends or related people, then it is usually considered to be more trustworthy. Facebook page is one of the social spaces where people can obtain various information of interest. Still, users have difficulty in finding proper information because Facebook generates tremendous amount of data daily. In this paper, we proposed a scheme to extract and select Facebook page contents effectively. In our proposed scheme, users are grouped based on mutual intimacy and Facebook pages of interest are selected based on the ranking of importance. We show the performance of our scheme through experiments.